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Author SHA1 Message Date
Claude
4f89b77782
Replace restrict_all/restrict_database/restrict_resource with TokenRestrictions dataclass
Consolidates the three separate restriction parameters into a single
TokenRestrictions dataclass in datasette.permissions. Updates all call
sites: Datasette.create_signed_token(), Datasette.create_token(),
build_token_restrictions(), the create_token hook spec, CreateTokenEvent,
the CLI, and the create-token view.

https://claude.ai/code/session_012TFFCamoYLTofV2vCgPrjV
2026-02-25 03:21:29 +00:00
Claude
22feead183
Add create_token plugin hook for extensible token creation
Introduces a create_token hookspec so plugins like datasette-auth-tokens
can intercept token creation and produce database-backed tokens instead
of signed ones. The default (trylast) implementation creates signed
dstok_ tokens.

Key changes:
- New create_token hookspec in hookspecs.py
- Datasette.create_signed_token(): sync, always creates signed tokens
- Datasette.create_token(): async, dispatches through the hook
- Datasette.build_token_restrictions(): utility to build abbreviated
  restriction dicts (replaces hack in datasette-auth-tokens)
- Default hook impl in default_permissions/tokens.py (trylast=True)
- CreateTokenView and CLI use create_signed_token() directly

https://claude.ai/code/session_012TFFCamoYLTofV2vCgPrjV
2026-02-25 01:34:13 +00:00
146 changed files with 2698 additions and 18287 deletions

View file

@ -0,0 +1,35 @@
name: Deploy a Datasette branch preview to Vercel
on:
workflow_dispatch:
inputs:
branch:
description: "Branch to deploy"
required: true
type: string
jobs:
deploy-branch-preview:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Set up Python 3.11
uses: actions/setup-python@v6
with:
python-version: "3.11"
- name: Install dependencies
run: |
pip install datasette-publish-vercel
- name: Deploy the preview
env:
VERCEL_TOKEN: ${{ secrets.BRANCH_PREVIEW_VERCEL_TOKEN }}
run: |
export BRANCH="${{ github.event.inputs.branch }}"
wget https://latest.datasette.io/fixtures.db
datasette publish vercel fixtures.db \
--branch $BRANCH \
--project "datasette-preview-$BRANCH" \
--token $VERCEL_TOKEN \
--scope datasette \
--about "Preview of $BRANCH" \
--about_url "https://github.com/simonw/datasette/tree/$BRANCH"

View file

@ -15,7 +15,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Check out datasette
uses: actions/checkout@v6
uses: actions/checkout@v5
- name: Set up Python
uses: actions/setup-python@v6
with:
@ -57,7 +57,7 @@ jobs:
db.route = "alternative-route"
' > plugins/alternative_route.py
cp fixtures.db fixtures2.db
- name: And the counters writable stored query demo
- name: And the counters writable canned query demo
run: |
cat > plugins/counters.py <<EOF
from datasette import hookimpl
@ -69,24 +69,23 @@ jobs:
await db.execute_write("insert or ignore into counters (name, value) values ('counter_a', 0)")
await db.execute_write("insert or ignore into counters (name, value) values ('counter_b', 0)")
await db.execute_write("insert or ignore into counters (name, value) values ('counter_c', 0)")
for name in ("counter_a", "counter_b", "counter_c"):
await datasette.add_query(
"counters",
"increment_{}".format(name),
"update counters set value = value + 1 where name = '{}'".format(name),
on_success_message_sql="select 'Counter {name} incremented to ' || value from counters where name = '{name}'".format(name=name),
is_write=True,
is_trusted=True,
)
await datasette.add_query(
"counters",
"decrement_{}".format(name),
"update counters set value = value - 1 where name = '{}'".format(name),
on_success_message_sql="select 'Counter {name} decremented to ' || value from counters where name = '{name}'".format(name=name),
is_write=True,
is_trusted=True,
)
return inner
@hookimpl
def canned_queries(database):
if database == "counters":
queries = {}
for name in ("counter_a", "counter_b", "counter_c"):
queries["increment_{}".format(name)] = {
"sql": "update counters set value = value + 1 where name = '{}'".format(name),
"on_success_message_sql": "select 'Counter {name} incremented to ' || value from counters where name = '{name}'".format(name=name),
"write": True,
}
queries["decrement_{}".format(name)] = {
"sql": "update counters set value = value - 1 where name = '{}'".format(name),
"on_success_message_sql": "select 'Counter {name} decremented to ' || value from counters where name = '{name}'".format(name=name),
"write": True,
}
return queries
EOF
# - name: Make some modifications to metadata.json
# run: |
@ -117,7 +116,7 @@ jobs:
--plugins-dir=plugins \
--branch=$GITHUB_SHA \
--version-note=$GITHUB_SHA \
--extra-options="--setting template_debug 1 --setting trace_debug 1 --crossdb --root" \
--extra-options="--setting template_debug 1 --setting trace_debug 1 --crossdb" \
--install 'datasette-ephemeral-tables>=0.2.2' \
--service "datasette-latest$SUFFIX" \
--secret $LATEST_DATASETTE_SECRET

View file

@ -1,6 +1,6 @@
name: Read the Docs Pull Request Preview
on:
pull_request:
pull_request_target:
types:
- opened

View file

@ -10,8 +10,8 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Check out repo
uses: actions/checkout@v6
- uses: actions/cache@v5
uses: actions/checkout@v4
- uses: actions/cache@v4
name: Configure npm caching
with:
path: ~/.npm

View file

@ -14,7 +14,7 @@ jobs:
matrix:
python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v6
with:
@ -35,7 +35,7 @@ jobs:
permissions:
id-token: write
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v6
with:
@ -56,7 +56,7 @@ jobs:
needs: [deploy]
if: "!github.event.release.prerelease"
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v6
with:
@ -92,7 +92,7 @@ jobs:
needs: [deploy]
if: "!github.event.release.prerelease"
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- name: Build and push to Docker Hub
env:
DOCKER_USER: ${{ secrets.DOCKER_USER }}

View file

@ -13,7 +13,7 @@ jobs:
deploy_docker:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v2
- name: Build and push to Docker Hub
env:
DOCKER_USER: ${{ secrets.DOCKER_USER }}

View file

@ -9,7 +9,7 @@ jobs:
spellcheck:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v6
with:

View file

@ -15,7 +15,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v6
uses: actions/checkout@v5
with:
fetch-depth: 0 # We need all commits to find docs/ changes
- name: Set up Git user

View file

@ -15,7 +15,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Check out datasette
uses: actions/checkout@v6
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v6
with:

View file

@ -12,7 +12,7 @@ jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- name: Set up Python 3.10
uses: actions/setup-python@v6
with:
@ -20,7 +20,7 @@ jobs:
cache: 'pip'
cache-dependency-path: '**/pyproject.toml'
- name: Cache Playwright browsers
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.cache/ms-playwright/
key: ${{ runner.os }}-browsers

View file

@ -25,7 +25,7 @@ jobs:
#"3.23.1" # 2018-04-10, before UPSERT
]
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v6
with:

View file

@ -12,7 +12,7 @@ jobs:
matrix:
python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v6
with:

View file

@ -10,6 +10,6 @@ jobs:
build:
runs-on: macos-latest
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v2
- name: Setup tmate session
uses: mxschmitt/action-tmate@v3

View file

@ -11,7 +11,7 @@ jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v2
- name: Setup tmate session
uses: mxschmitt/action-tmate@v3
env:

View file

@ -1,7 +1,6 @@
from datasette.permissions import Permission # noqa
from datasette.version import __version_info__, __version__ # noqa
from datasette.events import Event # noqa
from datasette.tokens import TokenHandler, TokenRestrictions # noqa
from datasette.utils.asgi import Forbidden, NotFound, Request, Response # noqa
from datasette.utils import actor_matches_allow # noqa
from datasette.views import Context # noqa

View file

@ -1,108 +0,0 @@
"""
Pytest plugin that automatically closes any Datasette instances constructed
during a pytest test both in the test body and in function-scoped
fixtures. Instances constructed by session-, module-, class- or package-
scoped fixtures are left alone, because other tests in the session will
still want to use them.
Registered as a pytest11 entry point in pyproject.toml so that downstream
projects using Datasette get the same FD-safety net for their own tests.
Opt out by setting ``datasette_autoclose = false`` in pytest.ini (or the
equivalent ini file).
"""
from __future__ import annotations
import contextvars
import weakref
import pytest
from datasette.app import Datasette
_active_instances: contextvars.ContextVar[list | None] = contextvars.ContextVar(
"datasette_active_instances", default=None
)
_original_init = Datasette.__init__
def _tracking_init(self, *args, **kwargs):
_original_init(self, *args, **kwargs)
instances = _active_instances.get()
if instances is not None:
instances.append(weakref.ref(self))
Datasette.__init__ = _tracking_init
def pytest_addoption(parser):
parser.addini(
"datasette_autoclose",
help=(
"Automatically close Datasette instances created inside test "
"bodies and function-scoped fixtures (default: true)."
),
default="true",
)
def _enabled(config) -> bool:
value = config.getini("datasette_autoclose")
if isinstance(value, bool):
return value
return str(value).strip().lower() not in ("false", "0", "no", "off")
@pytest.hookimpl(hookwrapper=True)
def pytest_runtest_protocol(item, nextitem):
"""Track Datasette instances across setup, call and teardown; close at end."""
if not _enabled(item.config):
yield
return
refs: list[weakref.ref] = []
token = _active_instances.set(refs)
try:
yield
finally:
_active_instances.reset(token)
for ref in reversed(refs):
ds = ref()
if ds is None:
continue
try:
ds.close()
except Exception as e:
item.warn(
pytest.PytestUnraisableExceptionWarning(
f"Error closing Datasette instance: {e!r}"
)
)
@pytest.hookimpl(hookwrapper=True)
def pytest_fixture_setup(fixturedef, request):
"""Exempt instances created by non-function-scoped fixtures.
Session-, module-, class- and package-scoped fixtures produce Datasette
instances that must survive beyond the current test other tests in
the session will still use them. When such a fixture creates one or
more Datasette instances during its setup, we snapshot the tracking
list before the fixture runs and subtract off any instances that were
added during its setup, so they don't get closed at test teardown.
"""
refs = _active_instances.get()
if refs is None:
yield
return
before_ids = {id(ref) for ref in refs}
yield
if fixturedef.scope != "function":
new_refs = [ref for ref in refs if id(ref) not in before_ids]
for new_ref in new_refs:
try:
refs.remove(new_ref)
except ValueError:
pass

View file

@ -1,12 +1,13 @@
from __future__ import annotations
from asgi_csrf import Errors
import asyncio
import contextvars
from typing import TYPE_CHECKING, Any, Dict, Iterable, List
if TYPE_CHECKING:
from datasette.permissions import Resource
from datasette.tokens import TokenRestrictions
from datasette.permissions import Resource, TokenRestrictions
import asgi_csrf
import collections
import dataclasses
import datetime
@ -41,26 +42,8 @@ from jinja2.environment import Template
from jinja2.exceptions import TemplateNotFound
from .events import Event
from .column_types import SQLiteType
from . import stored_queries
from .views import Context
from .views.database import (
database_download,
DatabaseView,
TableCreateView,
QueryView,
)
from .views.execute_write import ExecuteWriteAnalyzeView, ExecuteWriteView
from .views.stored_queries import (
QueryCreateAnalyzeView,
QueryDeleteView,
QueryDefinitionView,
GlobalQueryListView,
QueryListView,
QueryParametersView,
QueryStoreView,
QueryUpdateView,
)
from .views.database import database_download, DatabaseView, TableCreateView, QueryView
from .views.index import IndexView
from .views.special import (
JsonDataView,
@ -75,7 +58,7 @@ from .views.special import (
AllowedResourcesView,
PermissionRulesView,
PermissionCheckView,
JumpView,
TablesView,
InstanceSchemaView,
DatabaseSchemaView,
TableSchemaView,
@ -83,7 +66,6 @@ from .views.special import (
from .views.table import (
TableInsertView,
TableUpsertView,
TableSetColumnTypeView,
TableDropView,
table_view,
)
@ -135,7 +117,6 @@ from .utils.asgi import (
asgi_send_file,
asgi_send_redirect,
)
from .csrf import CrossOriginProtectionMiddleware
from .utils.internal_db import init_internal_db, populate_schema_tables
from .utils.sqlite import (
sqlite3,
@ -343,7 +324,6 @@ class Datasette:
default_deny=False,
):
self._startup_invoked = False
self._closed = False
assert config_dir is None or isinstance(
config_dir, Path
), "config_dir= should be a pathlib.Path"
@ -373,7 +353,6 @@ class Datasette:
self.immutables = set(immutables or [])
self.databases = collections.OrderedDict()
self.actions = {} # .invoke_startup() will populate this
self._column_types = {} # .invoke_startup() will populate this
try:
self._refresh_schemas_lock = asyncio.Lock()
except RuntimeError as rex:
@ -398,7 +377,7 @@ class Datasette:
self.internal_db_created = False
if internal is None:
self._internal_database = Database(self, is_temp_disk=True)
self._internal_database = Database(self, memory_name=secrets.token_hex())
else:
self._internal_database = Database(self, path=internal, mode="rwc")
self._internal_database.name = INTERNAL_DB_NAME
@ -588,9 +567,6 @@ class Datasette:
# TODO(alex) is metadata.json was loaded in, and --internal is not memory, then log
# a warning to user that they should delete their metadata.json file
async def _save_queries_from_config(self):
await stored_queries.save_queries_from_config(self)
def get_jinja_environment(self, request: Request = None) -> Environment:
environment = self._jinja_env
if request:
@ -634,36 +610,15 @@ class Datasette:
"select database_name, schema_version from catalog_databases"
)
}
catalog_table_names = (
"catalog_columns",
"catalog_foreign_keys",
"catalog_indexes",
"catalog_views",
"catalog_tables",
"catalog_databases",
)
# Delete stale entries for databases that are no longer attached
catalog_database_names = set(current_schema_versions.keys())
for table in catalog_table_names[:-1]:
catalog_database_names.update(
row["database_name"]
for row in await internal_db.execute(
"select distinct database_name from {}".format(table)
)
if row["database_name"] is not None
stale_databases = set(current_schema_versions.keys()) - set(
self.databases.keys()
)
for stale_db_name in stale_databases:
await internal_db.execute_write(
"DELETE FROM catalog_databases WHERE database_name = ?",
[stale_db_name],
)
stale_databases = catalog_database_names - set(self.databases.keys())
if stale_databases:
def delete_stale_database_catalog(conn):
for stale_db_name in stale_databases:
for table in catalog_table_names:
conn.execute(
"DELETE FROM {} WHERE database_name = ?".format(table),
[stale_db_name],
)
await internal_db.execute_write_fn(delete_stale_database_catalog)
for database_name, db in self.databases.items():
schema_version = (await db.execute("PRAGMA schema_version")).first()[0]
# Compare schema versions to see if we should skip it
@ -736,24 +691,10 @@ class Datasette:
action_abbrs[action.abbr] = action
self.actions[action.name] = action
# Register column types (classes, not instances)
self._column_types = {}
for hook in pm.hook.register_column_types(datasette=self):
if hook:
for ct_cls in hook:
if ct_cls.name in self._column_types:
raise StartupError(f"Duplicate column type name: {ct_cls.name}")
self._column_types[ct_cls.name] = ct_cls
for hook in pm.hook.prepare_jinja2_environment(
env=self._jinja_env, datasette=self
):
await await_me_maybe(hook)
# Ensure internal tables and metadata are populated before startup hooks
await self._refresh_schemas()
await self._save_queries_from_config()
# Load column_types from config into internal DB
await self._apply_column_types_config()
for hook in pm.hook.startup(datasette=self):
await await_me_maybe(hook)
self._startup_invoked = True
@ -772,17 +713,66 @@ class Datasette:
"""
return _in_datasette_client.get()
def _token_handlers(self):
"""Collect all registered token handlers from plugins."""
from datasette.tokens import TokenHandler
def _abbreviate_action(self, action: str) -> str:
"""Return the abbreviated form of an action name if one exists."""
action_obj = self.actions.get(action)
if not action_obj:
return action
return action_obj.abbr or action
handlers = []
for result in pm.hook.register_token_handler(datasette=self):
if isinstance(result, TokenHandler):
handlers.append(result)
elif isinstance(result, list):
handlers.extend(h for h in result if isinstance(h, TokenHandler))
return handlers
def build_token_restrictions(
self,
restrictions: "TokenRestrictions",
) -> dict | None:
"""Build an abbreviated restrictions dict for use in token payloads.
Returns a dict like ``{"a": [...], "d": {...}, "r": {...}}``
or ``None`` if there are no restrictions.
"""
if not (restrictions.all or restrictions.database or restrictions.resource):
return None
result: dict = {}
if restrictions.all:
result["a"] = [
self._abbreviate_action(a) for a in restrictions.all
]
if restrictions.database:
result["d"] = {
database: [self._abbreviate_action(a) for a in actions]
for database, actions in restrictions.database.items()
}
if restrictions.resource:
result["r"] = {}
for database, resources in restrictions.resource.items():
for resource, actions in resources.items():
result["r"].setdefault(database, {})[resource] = [
self._abbreviate_action(a) for a in actions
]
return result
def create_signed_token(
self,
actor_id: str,
*,
expires_after: int | None = None,
restrictions: "TokenRestrictions | None" = None,
) -> str:
"""Create a signed ``dstok_`` API token.
This always creates a signed token regardless of installed plugins.
Use :meth:`create_token` to go through the plugin hook instead.
"""
from datasette.permissions import TokenRestrictions
token: dict = {"a": actor_id, "t": int(time.time())}
if expires_after:
token["d"] = expires_after
if restrictions is None:
restrictions = TokenRestrictions(all=[], database={}, resource={})
abbreviated = self.build_token_restrictions(restrictions)
if abbreviated:
token["_r"] = abbreviated
return "dstok_{}".format(self.sign(token, namespace="token"))
async def create_token(
self,
@ -790,52 +780,27 @@ class Datasette:
*,
expires_after: int | None = None,
restrictions: "TokenRestrictions | None" = None,
handler: str | None = None,
) -> str:
"""Create an API token, dispatching through the ``create_token`` hook.
If a plugin implements the ``create_token`` hook, it can return
a database-backed token instead of a signed one. The default
implementation creates a signed ``dstok_`` token.
"""
Create an API token for the given actor.
from datasette.permissions import TokenRestrictions
Uses the first registered token handler by default, or a specific
handler if ``handler`` is provided (matched by handler name).
Pass a :class:`TokenRestrictions` to limit which actions the token
can perform.
"""
handlers = self._token_handlers()
if not handlers:
raise RuntimeError("No token handlers are registered")
if handler is not None:
matched = [h for h in handlers if h.name == handler]
if not matched:
available = [h.name for h in handlers]
raise ValueError(
f"Token handler {handler!r} not found. "
f"Available handlers: {available}"
)
chosen = matched[0]
else:
chosen = handlers[0]
return await chosen.create_token(
self,
actor_id,
if restrictions is None:
restrictions = TokenRestrictions(all=[], database={}, resource={})
for result in pm.hook.create_token(
datasette=self,
actor_id=actor_id,
expires_after=expires_after,
restrictions=restrictions,
)
async def verify_token(self, token: str) -> dict | None:
"""
Verify an API token by trying all registered token handlers.
Returns an actor dict from the first handler that recognizes the
token, or None if no handler accepts it.
"""
for token_handler in self._token_handlers():
result = await token_handler.verify_token(self, token)
):
result = await await_me_maybe(result)
if result is not None:
return result
return None
raise RuntimeError("No create_token hook implementation returned a token")
def get_database(self, name=None, route=None):
if route is not None:
@ -877,33 +842,6 @@ class Datasette:
new_databases.pop(name)
self.databases = new_databases
def close(self):
"""Release all resources held by this Datasette instance.
Closes every attached Database (including the internal database),
shuts down the executor, and unlinks the temporary file used for
the internal database if one was created. Idempotent and one-way.
"""
if self._closed:
return
self._closed = True
first_exception = None
dbs = list(self.databases.values()) + [self._internal_database]
for db in dbs:
try:
db.close()
except Exception as e:
if first_exception is None:
first_exception = e
if self.executor is not None:
try:
self.executor.shutdown(wait=True, cancel_futures=True)
except Exception as e:
if first_exception is None:
first_exception = e
if first_exception is not None:
raise first_exception
def setting(self, key):
return self._settings.get(key, None)
@ -1028,348 +966,6 @@ class Datasette:
[database_name, resource_name, column_name, key, value],
)
@staticmethod
def _query_row_to_stored_query(row) -> stored_queries.StoredQuery | None:
return stored_queries.query_row_to_stored_query(row)
@staticmethod
def _query_options_json(options):
return stored_queries.query_options_json(options)
async def add_query(
self,
database: str,
name: str,
sql: str,
*,
title: str | None = None,
description: str | None = None,
description_html: str | None = None,
hide_sql: bool = False,
fragment: str | None = None,
parameters: Iterable[str] | None = None,
is_write: bool = False,
is_private: bool = False,
is_trusted: bool = False,
source: str = "plugin",
owner_id: str | None = None,
on_success_message: str | None = None,
on_success_message_sql: str | None = None,
on_success_redirect: str | None = None,
on_error_message: str | None = None,
on_error_redirect: str | None = None,
replace: bool = True,
) -> None:
return await stored_queries.add_query(
self,
database,
name,
sql,
title=title,
description=description,
description_html=description_html,
hide_sql=hide_sql,
fragment=fragment,
parameters=parameters,
is_write=is_write,
is_private=is_private,
is_trusted=is_trusted,
source=source,
owner_id=owner_id,
on_success_message=on_success_message,
on_success_message_sql=on_success_message_sql,
on_success_redirect=on_success_redirect,
on_error_message=on_error_message,
on_error_redirect=on_error_redirect,
replace=replace,
)
async def update_query(
self,
database: str,
name: str,
*,
sql=stored_queries.UNCHANGED,
title=stored_queries.UNCHANGED,
description=stored_queries.UNCHANGED,
description_html=stored_queries.UNCHANGED,
hide_sql=stored_queries.UNCHANGED,
fragment=stored_queries.UNCHANGED,
parameters=stored_queries.UNCHANGED,
is_write=stored_queries.UNCHANGED,
is_private=stored_queries.UNCHANGED,
is_trusted=stored_queries.UNCHANGED,
source=stored_queries.UNCHANGED,
owner_id=stored_queries.UNCHANGED,
on_success_message=stored_queries.UNCHANGED,
on_success_message_sql=stored_queries.UNCHANGED,
on_success_redirect=stored_queries.UNCHANGED,
on_error_message=stored_queries.UNCHANGED,
on_error_redirect=stored_queries.UNCHANGED,
) -> None:
return await stored_queries.update_query(
self,
database,
name,
sql=sql,
title=title,
description=description,
description_html=description_html,
hide_sql=hide_sql,
fragment=fragment,
parameters=parameters,
is_write=is_write,
is_private=is_private,
is_trusted=is_trusted,
source=source,
owner_id=owner_id,
on_success_message=on_success_message,
on_success_message_sql=on_success_message_sql,
on_success_redirect=on_success_redirect,
on_error_message=on_error_message,
on_error_redirect=on_error_redirect,
)
async def remove_query(
self, database: str, name: str, source: str | None = None
) -> None:
return await stored_queries.remove_query(self, database, name, source=source)
async def get_query(
self, database: str, name: str
) -> stored_queries.StoredQuery | None:
return await stored_queries.get_query(self, database, name)
async def count_queries(
self,
database: str | None = None,
*,
actor: dict[str, Any] | None = None,
q: str | None = None,
is_write: bool | None = None,
is_private: bool | None = None,
is_trusted: bool | None = None,
source: str | None = None,
owner_id: str | None = None,
) -> int:
return await stored_queries.count_queries(
self,
database,
actor=actor,
q=q,
is_write=is_write,
is_private=is_private,
is_trusted=is_trusted,
source=source,
owner_id=owner_id,
)
async def list_queries(
self,
database: str | None = None,
*,
actor: dict[str, Any] | None = None,
limit: int = 50,
cursor: str | None = None,
q: str | None = None,
is_write: bool | None = None,
is_private: bool | None = None,
is_trusted: bool | None = None,
source: str | None = None,
owner_id: str | None = None,
include_private: bool = False,
) -> stored_queries.StoredQueryPage:
return await stored_queries.list_queries(
self,
database,
actor=actor,
limit=limit,
cursor=cursor,
q=q,
is_write=is_write,
is_private=is_private,
is_trusted=is_trusted,
source=source,
owner_id=owner_id,
include_private=include_private,
)
async def ensure_query_write_permissions(
self, database, sql, *, actor=None, params=None, analysis=None
):
return await stored_queries.ensure_query_write_permissions(
self, database, sql, actor=actor, params=params, analysis=analysis
)
# Column types API
async def _get_resource_column_details(self, database: str, resource: str):
db = self.databases.get(database)
if db is None:
return {}
try:
return {
column.name: column
for column in await db.table_column_details(resource)
}
except sqlite3.OperationalError:
return {}
@staticmethod
def _column_type_is_applicable(ct_cls, column_detail) -> bool:
sqlite_types = getattr(ct_cls, "sqlite_types", None)
if sqlite_types is None:
return True
if column_detail is None:
return False
actual_sqlite_type = SQLiteType.from_declared_type(column_detail.type)
return actual_sqlite_type in sqlite_types
async def _validate_column_type_assignment(
self, database: str, resource: str, column: str, ct_cls
) -> None:
sqlite_types = getattr(ct_cls, "sqlite_types", None)
if sqlite_types is None:
return
column_detail = (
await self._get_resource_column_details(database, resource)
).get(column)
if column_detail is None:
return
actual_sqlite_type = SQLiteType.from_declared_type(column_detail.type)
if actual_sqlite_type in sqlite_types:
return
allowed = ", ".join(sqlite_type.value for sqlite_type in sqlite_types)
actual = (
actual_sqlite_type.value
if actual_sqlite_type is not None
else "unrecognized {!r}".format(column_detail.type)
)
raise ValueError(
"Column type {!r} is only applicable to SQLite types {} but {}.{}.{} "
"has SQLite type {}".format(
ct_cls.name,
allowed,
database,
resource,
column,
actual,
)
)
async def _apply_column_types_config(self):
"""Load column_types from datasette.json config into the internal DB."""
import logging
for db_name, db_conf in (self.config or {}).get("databases", {}).items():
for table_name, table_conf in db_conf.get("tables", {}).items():
for col_name, ct in table_conf.get("column_types", {}).items():
if isinstance(ct, str):
col_type, config = ct, None
else:
col_type = ct["type"]
config = ct.get("config")
if col_type not in self._column_types:
logging.warning(
"column_types config references unknown type %r "
"for %s.%s.%s",
col_type,
db_name,
table_name,
col_name,
)
try:
await self.set_column_type(
db_name, table_name, col_name, col_type, config
)
except ValueError as ex:
logging.warning(str(ex))
async def get_column_type(self, database: str, resource: str, column: str):
"""
Return a ColumnType instance (with config baked in) for a specific
column, or None if no column type is assigned.
"""
row = await self.get_internal_database().execute(
"SELECT column_type, config FROM column_types "
"WHERE database_name = ? AND resource_name = ? AND column_name = ?",
[database, resource, column],
)
rows = row.rows
if not rows:
return None
ct_name, config = rows[0]
ct_cls = self._column_types.get(ct_name)
if ct_cls is None:
return None
column_detail = (
await self._get_resource_column_details(database, resource)
).get(column)
if not self._column_type_is_applicable(ct_cls, column_detail):
return None
return ct_cls(config=json.loads(config) if config else None)
async def get_column_types(self, database: str, resource: str) -> dict:
"""
Return {column_name: ColumnType instance (with config)}
for all columns with assigned types on the given resource.
"""
rows = await self.get_internal_database().execute(
"SELECT column_name, column_type, config FROM column_types "
"WHERE database_name = ? AND resource_name = ?",
[database, resource],
)
column_details = await self._get_resource_column_details(database, resource)
result = {}
for row in rows.rows:
col_name, ct_name, config = row
ct_cls = self._column_types.get(ct_name)
if ct_cls is not None and self._column_type_is_applicable(
ct_cls, column_details.get(col_name)
):
result[col_name] = ct_cls(config=json.loads(config) if config else None)
return result
async def set_column_type(
self,
database: str,
resource: str,
column: str,
column_type: str,
config: dict = None,
) -> None:
"""Assign a column type. Overwrites any existing assignment."""
ct_cls = self._column_types.get(column_type)
if ct_cls is not None:
await self._validate_column_type_assignment(
database, resource, column, ct_cls
)
await self.get_internal_database().execute_write(
"""INSERT OR REPLACE INTO column_types
(database_name, resource_name, column_name, column_type, config)
VALUES (?, ?, ?, ?, ?)""",
[
database,
resource,
column,
column_type,
json.dumps(config) if config else None,
],
)
async def remove_column_type(
self, database: str, resource: str, column: str
) -> None:
"""Remove a column type assignment."""
await self.get_internal_database().execute_write(
"DELETE FROM column_types "
"WHERE database_name = ? AND resource_name = ? AND column_name = ?",
[database, resource, column],
)
def get_internal_database(self):
return self._internal_database
@ -1413,24 +1009,36 @@ class Datasette:
return db_plugin_config
def static_hash(self, filename):
if not hasattr(self, "_static_hashes"):
self._static_hashes = {}
path = os.path.join(str(app_root), "datasette/static", filename)
signature = (os.path.getmtime(path), os.path.getsize(path))
cached = self._static_hashes.get(filename)
if cached and cached["signature"] == signature:
return cached["hash"]
with open(path) as fp:
static_hash = hashlib.sha1(fp.read().encode("utf8")).hexdigest()[:6]
self._static_hashes[filename] = {
"signature": signature,
"hash": static_hash,
}
return static_hash
def app_css_hash(self):
return self.static_hash("app.css")
if not hasattr(self, "_app_css_hash"):
with open(os.path.join(str(app_root), "datasette/static/app.css")) as fp:
self._app_css_hash = hashlib.sha1(fp.read().encode("utf8")).hexdigest()[
:6
]
return self._app_css_hash
async def get_canned_queries(self, database_name, actor):
queries = {}
for more_queries in pm.hook.canned_queries(
datasette=self,
database=database_name,
actor=actor,
):
more_queries = await await_me_maybe(more_queries)
queries.update(more_queries or {})
# Fix any {"name": "select ..."} queries to be {"name": {"sql": "select ..."}}
for key in queries:
if not isinstance(queries[key], dict):
queries[key] = {"sql": queries[key]}
# Also make sure "name" is available:
queries[key]["name"] = key
return queries
async def get_canned_query(self, database_name, query_name, actor):
queries = await self.get_canned_queries(database_name, actor)
query = queries.get(query_name)
if query:
return query
def _prepare_connection(self, conn, database):
conn.row_factory = sqlite3.Row
@ -2050,7 +1658,6 @@ class Datasette:
break
except importlib.metadata.PackageNotFoundError:
pass
conn.close()
return info
def _plugins(self, request=None, all=False):
@ -2234,11 +1841,7 @@ class Datasette:
"extra_js_urls", template, context, request, view_name
),
"base_url": self.setting("base_url"),
"csrftoken": (
request.scope["csrftoken"]
if request and "csrftoken" in request.scope
else lambda: ""
),
"csrftoken": request.scope["csrftoken"] if request else lambda: "",
"datasette_version": __version__,
},
**extra_template_vars,
@ -2404,12 +2007,8 @@ class Datasette:
r"/-/api$",
)
add_route(
JumpView.as_view(self),
r"/-/jump(\.(?P<format>json))?$",
)
add_route(
GlobalQueryListView.as_view(self),
r"/-/queries(\.(?P<format>json))?$",
TablesView.as_view(self),
r"/-/tables(\.(?P<format>json))?$",
)
add_route(
InstanceSchemaView.as_view(self),
@ -2456,50 +2055,14 @@ class Datasette:
r"/(?P<database>[^\/\.]+)(\.(?P<format>\w+))?$",
)
add_route(TableCreateView.as_view(self), r"/(?P<database>[^\/\.]+)/-/create$")
add_route(
QueryListView.as_view(self),
r"/(?P<database>[^\/\.]+)/-/queries(\.(?P<format>json))?$",
)
add_route(
QueryCreateAnalyzeView.as_view(self),
r"/(?P<database>[^\/\.]+)/-/queries/analyze$",
)
add_route(
QueryStoreView.as_view(self),
r"/(?P<database>[^\/\.]+)/-/queries/store$",
)
add_route(
ExecuteWriteAnalyzeView.as_view(self),
r"/(?P<database>[^\/\.]+)/-/execute-write/analyze$",
)
add_route(
ExecuteWriteView.as_view(self),
r"/(?P<database>[^\/\.]+)/-/execute-write$",
)
add_route(
DatabaseSchemaView.as_view(self),
r"/(?P<database>[^\/\.]+)/-/schema(\.(?P<format>json|md))?$",
)
add_route(
QueryParametersView.as_view(self),
r"/(?P<database>[^\/\.]+)/-/query/parameters$",
)
add_route(
wrap_view(QueryView, self),
r"/(?P<database>[^\/\.]+)/-/query(\.(?P<format>\w+))?$",
)
add_route(
QueryDefinitionView.as_view(self),
r"/(?P<database>[^\/\.]+)/(?P<query>[^\/\.]+)/-/definition$",
)
add_route(
QueryUpdateView.as_view(self),
r"/(?P<database>[^\/\.]+)/(?P<query>[^\/\.]+)/-/update$",
)
add_route(
QueryDeleteView.as_view(self),
r"/(?P<database>[^\/\.]+)/(?P<query>[^\/\.]+)/-/delete$",
)
add_route(
wrap_view(table_view, self),
r"/(?P<database>[^\/\.]+)/(?P<table>[^\/\.]+)(\.(?P<format>\w+))?$",
@ -2516,10 +2079,6 @@ class Datasette:
TableUpsertView.as_view(self),
r"/(?P<database>[^\/\.]+)/(?P<table>[^\/\.]+)/-/upsert$",
)
add_route(
TableSetColumnTypeView.as_view(self),
r"/(?P<database>[^\/\.]+)/(?P<table>[^\/\.]+)/-/set-column-type$",
)
add_route(
TableDropView.as_view(self),
r"/(?P<database>[^\/\.]+)/(?P<table>[^\/\.]+)/-/drop$",
@ -2581,13 +2140,29 @@ class Datasette:
if not database.is_mutable:
await database.table_counts(limit=60 * 60 * 1000)
async def _close_on_shutdown():
self.close()
async def custom_csrf_error(scope, send, message_id):
await asgi_send(
send,
content=await self.render_template(
"csrf_error.html",
{"message_id": message_id, "message_name": Errors(message_id).name},
),
status=403,
content_type="text/html; charset=utf-8",
)
asgi = CrossOriginProtectionMiddleware(DatasetteRouter(self, routes), self)
asgi = asgi_csrf.asgi_csrf(
DatasetteRouter(self, routes),
signing_secret=self._secret,
cookie_name="ds_csrftoken",
skip_if_scope=lambda scope: any(
pm.hook.skip_csrf(datasette=self, scope=scope)
),
send_csrf_failed=custom_csrf_error,
)
if self.setting("trace_debug"):
asgi = AsgiTracer(asgi)
asgi = AsgiLifespan(asgi, on_shutdown=[_close_on_shutdown])
asgi = AsgiLifespan(asgi)
asgi = AsgiRunOnFirstRequest(asgi, on_startup=[setup_db, self.invoke_startup])
for wrapper in pm.hook.asgi_wrapper(datasette=self):
asgi = wrapper(asgi)
@ -2634,13 +2209,10 @@ class DatasetteRouter:
# Handle authentication
default_actor = scope.get("actor") or None
actor = None
results = pm.hook.actor_from_request(datasette=self.ds, request=request)
for result in results:
result = await await_me_maybe(result)
if result and actor is None:
actor = result
# Don't break — we must await all coroutines to avoid
# "coroutine was never awaited" warnings
for actor in pm.hook.actor_from_request(datasette=self.ds, request=request):
actor = await await_me_maybe(actor)
if actor:
break
scope_modifications["actor"] = actor or default_actor
scope = dict(scope, **scope_modifications)
@ -2929,21 +2501,9 @@ class DatasetteClient:
path = f"http://localhost{path}"
return path
def _apply_actor(self, kwargs):
"""If ``actor=`` was supplied, convert it into a signed ds_actor cookie."""
actor = kwargs.pop("actor", None)
if actor is None:
return
cookies = dict(kwargs.get("cookies") or {})
if "ds_actor" in cookies:
raise TypeError("Cannot pass both actor= and a ds_actor cookie")
cookies["ds_actor"] = self.actor_cookie(actor)
kwargs["cookies"] = cookies
async def _request(self, method, path, skip_permission_checks=False, **kwargs):
from datasette.permissions import SkipPermissions
self._apply_actor(kwargs)
with _DatasetteClientContext():
if skip_permission_checks:
with SkipPermissions():
@ -3009,7 +2569,6 @@ class DatasetteClient:
from datasette.permissions import SkipPermissions
avoid_path_rewrites = kwargs.pop("avoid_path_rewrites", None)
self._apply_actor(kwargs)
with _DatasetteClientContext():
if skip_permission_checks:
with SkipPermissions():

View file

@ -547,7 +547,7 @@ def serve(
if reload:
import hupper
reloader = hupper.start_reloader("datasette.cli.cli")
reloader = hupper.start_reloader("datasette.cli.serve")
if immutable:
reloader.watch_files(immutable)
if config:
@ -615,9 +615,7 @@ def serve(
for file in file_paths:
if not pathlib.Path(file).exists():
if create:
conn = sqlite3.connect(file)
conn.execute("vacuum")
conn.close()
sqlite3.connect(file).execute("vacuum")
else:
raise click.ClickException(
"Invalid value for '[FILES]...': Path '{}' does not exist.".format(
@ -663,16 +661,15 @@ def serve(
# Private utility mechanism for writing unit tests
return ds
# Run async soundness checks before startup hooks, since invoke_startup
# now populates internal tables which requires querying each database
run_sync(lambda: check_databases(ds))
# Run the "startup" plugin hooks
try:
run_sync(ds.invoke_startup)
except StartupError as e:
raise click.ClickException(e.args[0])
# Run async soundness checks - but only if we're not under pytest
run_sync(lambda: check_databases(ds))
if headers and not get:
raise click.ClickException("--headers can only be used with --get")
@ -835,23 +832,26 @@ def create_token(
err=True,
)
from datasette.tokens import TokenRestrictions
restrictions = TokenRestrictions()
for action in alls:
restrictions.allow_all(action)
restrict_database = {}
for database, action in databases:
restrictions.allow_database(database, action)
restrict_database.setdefault(database, []).append(action)
restrict_resource = {}
for database, resource, action in resources:
restrictions.allow_resource(database, resource, action)
token = run_sync(
lambda: ds.create_token(
id,
expires_after=expires_after,
restrictions=restrictions,
handler="signed",
restrict_resource.setdefault(database, {}).setdefault(resource, []).append(
action
)
from datasette.permissions import TokenRestrictions
restrictions = TokenRestrictions(
all=alls,
database=restrict_database,
resource=restrict_resource,
)
token = ds.create_signed_token(
id,
expires_after=expires_after,
restrictions=restrictions,
)
click.echo(token)
if debug:

View file

@ -1,83 +0,0 @@
from enum import Enum
class SQLiteType(Enum):
TEXT = "TEXT"
INTEGER = "INTEGER"
REAL = "REAL"
BLOB = "BLOB"
NULL = "NULL"
@classmethod
def from_declared_type(cls, declared_type: str | None) -> "SQLiteType | None":
if declared_type is None:
return cls.NULL
normalized = declared_type.strip().upper()
if not normalized:
return cls.NULL
if normalized == cls.NULL.value:
return cls.NULL
if "INT" in normalized:
return cls.INTEGER
if any(token in normalized for token in ("CHAR", "CLOB", "TEXT")):
return cls.TEXT
if "BLOB" in normalized:
return cls.BLOB
if any(
token in normalized
for token in ("REAL", "FLOA", "DOUB") # codespell:ignore doub
):
return cls.REAL
return None
class ColumnType:
"""
Base class for column types.
Subclasses must define ``name`` and ``description`` as class attributes:
- ``name``: Unique identifier string. Lowercase, no spaces.
Examples: "markdown", "file", "email", "url", "point", "image".
- ``description``: Human-readable label for admin UI dropdowns.
Examples: "Markdown text", "File reference", "Email address".
- ``sqlite_types``: Optional tuple of SQLiteType values restricting
which SQLite column types this ColumnType can be assigned to.
Instantiate with an optional ``config`` dict to bind per-column
configuration::
ct = MyColumnType(config={"key": "value"})
ct.config # {"key": "value"}
"""
name: str
description: str
sqlite_types: tuple[SQLiteType, ...] | None = None
def __init__(self, config=None):
self.config = config
async def render_cell(self, value, column, table, database, datasette, request):
"""
Return an HTML string to render this cell value, or None to
fall through to the default render_cell plugin hook chain.
"""
return None
async def validate(self, value, datasette):
"""
Validate a value before it is written. Return None if valid,
or a string error message if invalid.
"""
return None
async def transform_value(self, value, datasette):
"""
Transform a value before it appears in JSON API output.
Return the transformed value. Default: return unchanged.
"""
return value

View file

@ -1,178 +0,0 @@
"""
Header-based CSRF (Cross-Origin) protection.
Datasette uses the Sec-Fetch-Site + Origin header approach described in
Filippo Valsorda's article (https://words.filippo.io/csrf/) and implemented
in Go 1.25's http.CrossOriginProtection. This replaces the previous
token-based asgi-csrf mechanism.
"""
from __future__ import annotations
import secrets
import urllib.parse
from .utils.asgi import asgi_send
SAFE_METHODS = frozenset({"GET", "HEAD", "OPTIONS"})
DEFAULT_PORTS = {"http": 80, "https": 443, "ws": 80, "wss": 443}
def _normalize_headers(raw_headers):
"""Lowercase header names; for duplicates, last value wins."""
result = {}
for name, value in raw_headers:
if isinstance(name, str):
name = name.encode("latin-1")
if isinstance(value, str):
value = value.encode("latin-1")
result[name.lower()] = value
return result
def _origin_tuple(value):
"""
Parse an origin-like string into ``(scheme, host, port)`` with default
ports filled in. Raises ``ValueError`` for malformed input.
"""
parsed = urllib.parse.urlsplit(value)
scheme = (parsed.scheme or "").lower()
host = (parsed.hostname or "").lower()
if not scheme or not host:
raise ValueError("missing scheme or host in {!r}".format(value))
port = parsed.port # may raise ValueError on bad ports
if port is None:
port = DEFAULT_PORTS.get(scheme)
if port is None:
raise ValueError("unknown default port for scheme {!r}".format(scheme))
return scheme, host, port
def _install_legacy_csrftoken(scope):
"""
Populate ``scope["csrftoken"]`` with a callable returning a per-request
random token. Provided for plugin compatibility only - core no longer
uses this value for CSRF enforcement.
"""
def csrftoken():
if "_datasette_legacy_csrftoken" not in scope:
scope["_datasette_legacy_csrftoken"] = secrets.token_urlsafe(32)
return scope["_datasette_legacy_csrftoken"]
scope["csrftoken"] = csrftoken
class CrossOriginProtectionMiddleware:
"""
Modern CSRF protection using the Sec-Fetch-Site and Origin headers.
Based on Filippo Valsorda's algorithm, as implemented in Go 1.25's
http.CrossOriginProtection. See https://words.filippo.io/csrf/
Unsafe-method requests are allowed through only if they look same-origin.
Non-browser clients (curl, etc.) send neither Sec-Fetch-Site nor Origin
and are passed through unchanged - CSRF is a browser-only attack.
"""
SAFE_METHODS = SAFE_METHODS
def __init__(self, app, datasette):
self.app = app
self.datasette = datasette
async def __call__(self, scope, receive, send):
if scope["type"] != "http":
await self.app(scope, receive, send)
return
_install_legacy_csrftoken(scope)
if scope.get("method", "GET") in self.SAFE_METHODS:
await self.app(scope, receive, send)
return
headers = _normalize_headers(scope.get("headers") or [])
authorization = headers.get(b"authorization", b"").decode("latin-1")
cookie_header = headers.get(b"cookie")
# Bearer-token requests are not ambient browser credentials, so they
# are not CSRF-vulnerable. Narrowly exempt them from the header check
# before evaluating Sec-Fetch-Site / Origin. Only "Bearer" is exempt;
# schemes like Basic or Digest can be browser-managed and ambient.
# If the request also carries a Cookie header, ambient cookie auth
# could be in play, so do NOT treat it as exempt.
if authorization and not cookie_header:
parts = authorization.split(None, 1)
if parts and parts[0].lower() == "bearer":
await self.app(scope, receive, send)
return
origin_bytes = headers.get(b"origin")
sec_fetch_site_bytes = headers.get(b"sec-fetch-site")
host_bytes = headers.get(b"host", b"")
origin = origin_bytes.decode("latin-1") if origin_bytes else None
sec_fetch_site = (
sec_fetch_site_bytes.decode("latin-1") if sec_fetch_site_bytes else None
)
host = host_bytes.decode("latin-1")
# Primary defense: Sec-Fetch-Site (set by browsers, unforgeable from JS)
if sec_fetch_site is not None:
if sec_fetch_site in ("same-origin", "none"):
await self.app(scope, receive, send)
return
await self._forbid(
send,
"Sec-Fetch-Site was {!r}, expected 'same-origin' or 'none'".format(
sec_fetch_site
),
)
return
# No Sec-Fetch-Site and no Origin -> non-browser client (curl, API, etc.)
if origin is None:
await self.app(scope, receive, send)
return
# Fallback for older browsers: Origin must match the request's own
# scheme + host + port. Compare full origin tuples, not host alone.
request_scheme = self._request_scheme(scope)
try:
origin_tuple = _origin_tuple(origin)
expected_tuple = _origin_tuple("{}://{}".format(request_scheme, host))
except ValueError:
await self._forbid(
send,
"Malformed Origin {!r} or Host {!r}".format(origin, host),
)
return
if origin_tuple == expected_tuple:
await self.app(scope, receive, send)
return
await self._forbid(
send,
"Origin {!r} does not match Host {!r}".format(origin, host),
)
def _request_scheme(self, scope):
if self.datasette is not None:
try:
if self.datasette.setting("force_https_urls"):
return "https"
except Exception:
pass
return scope.get("scheme") or "http"
async def _forbid(self, send, reason):
await asgi_send(
send,
content=await self.datasette.render_template(
"csrf_error.html", {"reason": reason}
),
status=403,
content_type="text/html; charset=utf-8",
)

View file

@ -1,19 +1,15 @@
import asyncio
import atexit
from collections import namedtuple
import inspect
import os
from pathlib import Path
import janus
import queue
import sqlite_utils
import sys
import tempfile
import threading
import uuid
from .tracer import trace
from .utils import (
call_with_supported_arguments,
detect_fts,
detect_primary_keys,
detect_spatialite,
@ -25,7 +21,6 @@ from .utils import (
table_columns,
table_column_details,
)
from .utils.sql_analysis import SQLAnalysis, analyze_sql_tables
from .utils.sqlite import sqlite_version
from .inspect import inspect_hash
@ -34,13 +29,6 @@ connections = threading.local()
AttachedDatabase = namedtuple("AttachedDatabase", ("seq", "name", "file"))
class DatasetteClosedError(RuntimeError):
"""Raised when using a Datasette or Database instance after close()."""
_SHUTDOWN = object()
class Database:
# For table counts stop at this many rows:
count_limit = 10000
@ -54,7 +42,6 @@ class Database:
is_memory=False,
memory_name=None,
mode=None,
is_temp_disk=False,
):
self.name = None
self._thread_local_id = f"x{self._thread_local_id_counter}"
@ -65,44 +52,19 @@ class Database:
self.is_mutable = is_mutable
self.is_memory = is_memory
self.memory_name = memory_name
self.is_temp_disk = is_temp_disk
if memory_name is not None:
self.is_memory = True
if is_temp_disk:
fd, temp_path = tempfile.mkstemp(suffix=".db", prefix="datasette_temp_")
os.close(fd)
self.path = temp_path
self.is_mutable = True
self.mode = "rwc"
self._wal_enabled = False
atexit.register(self._cleanup_temp_file)
else:
self._wal_enabled = False
self.cached_hash = None
self.cached_size = None
self._cached_table_counts = None
self._write_thread = None
self._write_queue = None
self._closed = False
self._pending_execute_futures = set()
self._pending_execute_futures_lock = threading.Lock()
# These are used when in non-threaded mode:
self._read_connection = None
self._write_connection = None
# This is used to track all file connections so they can be closed
self._all_file_connections = []
if not is_temp_disk:
self.mode = mode
def _check_not_closed(self):
if self._closed:
raise DatasetteClosedError(
"Database {!r} has been closed".format(self.name)
)
def _remove_pending_execute_future(self, future):
with self._pending_execute_futures_lock:
self._pending_execute_futures.discard(future)
self.mode = mode
@property
def cached_table_counts(self):
@ -123,8 +85,6 @@ class Database:
return md5_not_usedforsecurity(self.name)[:6]
def suggest_name(self):
if self.is_temp_disk:
return "_temp_disk"
if self.path:
return Path(self.path).stem
elif self.memory_name:
@ -163,82 +123,14 @@ class Database:
f"file:{self.path}{qs}", uri=True, check_same_thread=False, **extra_kwargs
)
self._all_file_connections.append(conn)
if self.is_temp_disk and not self._wal_enabled:
conn.execute("PRAGMA journal_mode=WAL")
self._wal_enabled = True
return conn
def close(self):
"""Release all resources held by this database.
Idempotent. After close() further calls to execute()/execute_fn()/
execute_write()/execute_write_fn() raise DatasetteClosedError.
"""
if self._closed:
return
with self._pending_execute_futures_lock:
if self._closed:
return
self._closed = True
pending_execute_futures = tuple(self._pending_execute_futures)
# Shut down the write thread, if any, via a sentinel. The thread
# drains any writes already queued before the sentinel and then
# closes its own write connection and returns.
write_thread = self._write_thread
if write_thread is not None and self._write_queue is not None:
self._write_queue.put(_SHUTDOWN)
write_thread.join(timeout=10)
if write_thread.is_alive():
sys.stderr.write(
"Datasette: write thread for {!r} did not exit within 10s\n".format(
self.name
)
)
sys.stderr.flush()
for future in pending_execute_futures:
try:
future.result()
except Exception:
pass
# Close anything still tracked in _all_file_connections
# Close all connections - useful to avoid running out of file handles in tests
for connection in self._all_file_connections:
try:
connection.close()
except Exception:
pass
self._all_file_connections = []
# Drop per-thread cached read connections we can reach
try:
delattr(connections, self._thread_local_id)
except AttributeError:
pass
# Close non-threaded-mode cached connections if still open
if self._read_connection is not None:
try:
self._read_connection.close()
except Exception:
pass
self._read_connection = None
if self._write_connection is not None:
try:
self._write_connection.close()
except Exception:
pass
self._write_connection = None
if self.is_temp_disk:
self._cleanup_temp_file()
def _cleanup_temp_file(self):
if self.is_temp_disk and self.path:
for suffix in ("", "-wal", "-shm"):
try:
os.unlink(self.path + suffix)
except OSError:
pass
connection.close()
async def execute_write(self, sql, params=None, block=True, request=None):
self._check_not_closed()
def _inner(conn):
return conn.execute(sql, params or [])
@ -247,8 +139,6 @@ class Database:
return results
async def execute_write_script(self, sql, block=True, request=None):
self._check_not_closed()
def _inner(conn):
return conn.executescript(sql)
@ -259,8 +149,6 @@ class Database:
return results
async def execute_write_many(self, sql, params_seq, block=True, request=None):
self._check_not_closed()
def _inner(conn):
count = 0
@ -282,7 +170,6 @@ class Database:
return results
async def execute_isolated_fn(self, fn):
self._check_not_closed()
# Open a new connection just for the duration of this function
# blocking the write queue to avoid any writes occurring during it
if self.ds.executor is None:
@ -302,21 +189,8 @@ class Database:
# Threaded mode - send to write thread
return await self._send_to_write_thread(fn, isolated_connection=True)
async def analyze_sql(self, sql, params=None) -> SQLAnalysis:
self._check_not_closed()
return await self.execute_isolated_fn(
lambda conn: analyze_sql_tables(conn, sql, params, database_name=self.name)
)
async def execute_write_fn(self, fn, block=True, transaction=True, request=None):
self._check_not_closed()
pending_events = []
def track_event(event):
pending_events.append(event)
fn = self._wrap_fn_with_hooks(fn, request, transaction, track_event)
fn = self._wrap_fn_with_hooks(fn, request, transaction)
if self.ds.executor is None:
# non-threaded mode
if self._write_connection is None:
@ -324,53 +198,17 @@ class Database:
self.ds._prepare_connection(self._write_connection, self.name)
if transaction:
with self._write_connection:
result = fn(self._write_connection)
return fn(self._write_connection)
else:
result = fn(self._write_connection)
return fn(self._write_connection)
else:
result = await self._send_to_write_thread(
return await self._send_to_write_thread(
fn, block=block, transaction=transaction
)
if block:
for event in pending_events:
await self.ds.track_event(event)
else:
# For non-blocking writes, spawn a background task to
# dispatch events after the write thread completes
task_id, reply_future = result
async def _dispatch_events_after_write():
try:
await reply_future
except Exception:
# if the write failed, don't emit success events
return
for event in pending_events:
await self.ds.track_event(event)
asyncio.ensure_future(_dispatch_events_after_write())
result = task_id
return result
def _wrap_fn_with_hooks(self, fn, request, transaction, track_event):
def _wrap_fn_with_hooks(self, fn, request, transaction):
from .plugins import pm
# Wrap fn so it receives track_event if its signature supports it.
# Historically fn was called positionally, so any single-parameter
# name (conn, connection, db, ...) worked. Preserve that by only
# switching to keyword dependency injection when the callback
# explicitly opts in by declaring a `track_event` parameter.
original_fn = fn
if "track_event" in inspect.signature(original_fn).parameters:
def fn_with_track_event(conn):
return call_with_supported_arguments(
original_fn, conn=conn, track_event=track_event
)
fn = fn_with_track_event
wrappers = pm.hook.write_wrapper(
datasette=self.ds,
database=self.name,
@ -382,9 +220,10 @@ class Database:
return fn
# Build the wrapped fn by nesting context manager generators.
# The first wrapper returned by pluggy is outermost.
original_fn = fn
for wrapper_factory in reversed(wrappers):
fn = _apply_write_wrapper(fn, wrapper_factory, track_event)
return fn
original_fn = _apply_write_wrapper(original_fn, wrapper_factory)
return original_fn
async def _send_to_write_thread(
self, fn, block=True, isolated_connection=False, transaction=True
@ -400,15 +239,18 @@ class Database:
)
self._write_thread.start()
task_id = uuid.uuid5(uuid.NAMESPACE_DNS, "datasette.io")
loop = asyncio.get_running_loop()
reply_future = loop.create_future()
reply_queue = janus.Queue()
self._write_queue.put(
WriteTask(fn, task_id, loop, reply_future, isolated_connection, transaction)
WriteTask(fn, task_id, reply_queue, isolated_connection, transaction)
)
if block:
return await reply_future
result = await reply_queue.async_q.get()
if isinstance(result, Exception):
raise result
else:
return result
else:
return task_id, reply_future
return task_id
def _execute_writes(self):
# Infinite looping thread that protects the single write connection
@ -422,47 +264,38 @@ class Database:
conn_exception = e
while True:
task = self._write_queue.get()
if task is _SHUTDOWN:
if conn is not None:
try:
conn.close()
except Exception:
pass
return
exception = None
result = None
if conn_exception is not None:
exception = conn_exception
elif task.isolated_connection:
isolated_connection = self.connect(write=True)
try:
result = task.fn(isolated_connection)
except Exception as e:
sys.stderr.write("{}\n".format(e))
sys.stderr.flush()
exception = e
finally:
isolated_connection.close()
try:
self._all_file_connections.remove(isolated_connection)
except ValueError:
# Was probably a memory connection
pass
result = conn_exception
else:
try:
if task.transaction:
with conn:
if task.isolated_connection:
isolated_connection = self.connect(write=True)
try:
result = task.fn(isolated_connection)
except Exception as e:
sys.stderr.write("{}\n".format(e))
sys.stderr.flush()
result = e
finally:
isolated_connection.close()
try:
self._all_file_connections.remove(isolated_connection)
except ValueError:
# Was probably a memory connection
pass
else:
try:
if task.transaction:
with conn:
result = task.fn(conn)
else:
result = task.fn(conn)
else:
result = task.fn(conn)
except Exception as e:
sys.stderr.write("{}\n".format(e))
sys.stderr.flush()
exception = e
_deliver_write_result(task, result, exception)
except Exception as e:
sys.stderr.write("{}\n".format(e))
sys.stderr.flush()
result = e
task.reply_queue.sync_q.put(result)
async def execute_fn(self, fn):
self._check_not_closed()
if self.ds.executor is None:
# non-threaded mode
if self._read_connection is None:
@ -479,12 +312,9 @@ class Database:
setattr(connections, self._thread_local_id, conn)
return fn(conn)
with self._pending_execute_futures_lock:
self._check_not_closed()
future = self.ds.executor.submit(in_thread)
self._pending_execute_futures.add(future)
future.add_done_callback(self._remove_pending_execute_future)
return await asyncio.wrap_future(future)
return await asyncio.get_event_loop().run_in_executor(
self.ds.executor, in_thread
)
async def execute(
self,
@ -496,7 +326,6 @@ class Database:
log_sql_errors=True,
):
"""Executes sql against db_name in a thread"""
self._check_not_closed()
page_size = page_size or self.ds.page_size
def sql_operation_in_thread(conn):
@ -544,7 +373,7 @@ class Database:
def hash(self):
if self.cached_hash is not None:
return self.cached_hash
elif self.is_mutable or self.is_memory or self.is_temp_disk:
elif self.is_mutable or self.is_memory:
return None
elif self.ds.inspect_data and self.ds.inspect_data.get(self.name):
self.cached_hash = self.ds.inspect_data[self.name]["hash"]
@ -843,8 +672,6 @@ class Database:
tags.append("mutable")
if self.is_memory:
tags.append("memory")
if self.is_temp_disk:
tags.append("temp_disk")
if self.hash:
tags.append(f"hash={self.hash}")
if self.size is not None:
@ -855,21 +682,18 @@ class Database:
return f"<Database: {self.name}{tags_str}>"
def _apply_write_wrapper(fn, wrapper_factory, track_event):
def _apply_write_wrapper(fn, wrapper_factory):
"""Apply a single write_wrapper context manager around fn.
``wrapper_factory`` is a callable that takes ``(conn)`` and optionally
``track_event``, and returns a generator that yields exactly once.
Code before the yield runs before ``fn(conn)``, code after the yield
runs after. The result of ``fn(conn)`` is sent into the generator
via ``.send()``, and any exception raised by ``fn(conn)`` is thrown
via ``.throw()``.
``wrapper_factory`` is a callable that takes ``(conn)`` and returns a
generator that yields exactly once. Code before the yield runs before
``fn(conn)``, code after the yield runs after. The result of
``fn(conn)`` is sent into the generator via ``.send()``, and any
exception raised by ``fn(conn)`` is thrown via ``.throw()``.
"""
def wrapped(conn):
gen = call_with_supported_arguments(
wrapper_factory, conn=conn, track_event=track_event
)
gen = wrapper_factory(conn)
# Advance to the yield point (run "before" code)
try:
next(gen)
@ -900,45 +724,16 @@ def _apply_write_wrapper(fn, wrapper_factory, track_event):
class WriteTask:
__slots__ = (
"fn",
"task_id",
"loop",
"reply_future",
"isolated_connection",
"transaction",
)
__slots__ = ("fn", "task_id", "reply_queue", "isolated_connection", "transaction")
def __init__(
self, fn, task_id, loop, reply_future, isolated_connection, transaction
):
def __init__(self, fn, task_id, reply_queue, isolated_connection, transaction):
self.fn = fn
self.task_id = task_id
self.loop = loop
self.reply_future = reply_future
self.reply_queue = reply_queue
self.isolated_connection = isolated_connection
self.transaction = transaction
def _deliver_write_result(task, result, exception):
# Called from the write thread. Delivers the result back to the
# awaiting coroutine on its event loop via call_soon_threadsafe.
def _set():
if task.reply_future.done():
# Awaiter was cancelled; nothing to do.
return
if exception is not None:
task.reply_future.set_exception(exception)
else:
task.reply_future.set_result(result)
try:
task.loop.call_soon_threadsafe(_set)
except RuntimeError:
# Event loop has been closed; the awaiter is gone.
pass
class QueryInterrupted(Exception):
def __init__(self, e, sql, params):
self.e = e

View file

@ -48,26 +48,12 @@ def register_actions():
resource_class=DatabaseResource,
also_requires="view-database",
),
Action(
name="execute-write-sql",
abbr="ews",
description="Execute writable SQL queries",
resource_class=DatabaseResource,
also_requires="view-database",
),
Action(
name="create-table",
abbr="ct",
description="Create tables",
resource_class=DatabaseResource,
),
Action(
name="store-query",
abbr="sq",
description="Create stored queries",
resource_class=DatabaseResource,
also_requires="execute-sql",
),
# Table-level actions (child-level)
Action(
name="view-table",
@ -99,12 +85,6 @@ def register_actions():
description="Alter tables",
resource_class=TableResource,
),
Action(
name="set-column-type",
abbr="sct",
description="Set column type",
resource_class=TableResource,
),
Action(
name="drop-table",
abbr="dt",
@ -118,16 +98,4 @@ def register_actions():
description="View named query results",
resource_class=QueryResource,
),
Action(
name="update-query",
abbr="uq",
description="Update stored queries",
resource_class=QueryResource,
),
Action(
name="delete-query",
abbr="dq",
description="Delete stored queries",
resource_class=QueryResource,
),
)

View file

@ -1,81 +0,0 @@
import json
import re
import markupsafe
from datasette import hookimpl
from datasette.column_types import ColumnType, SQLiteType
class UrlColumnType(ColumnType):
name = "url"
description = "URL"
sqlite_types = (SQLiteType.TEXT,)
async def render_cell(self, value, column, table, database, datasette, request):
if not value or not isinstance(value, str):
return None
escaped = markupsafe.escape(value.strip())
return markupsafe.Markup(f'<a href="{escaped}">{escaped}</a>')
async def validate(self, value, datasette):
if value is None or value == "":
return None
if not isinstance(value, str):
return "URL must be a string"
if not re.match(r"^https?://\S+$", value.strip()):
return "Invalid URL"
return None
class EmailColumnType(ColumnType):
name = "email"
description = "Email address"
sqlite_types = (SQLiteType.TEXT,)
async def render_cell(self, value, column, table, database, datasette, request):
if not value or not isinstance(value, str):
return None
escaped = markupsafe.escape(value.strip())
return markupsafe.Markup(f'<a href="mailto:{escaped}">{escaped}</a>')
async def validate(self, value, datasette):
if value is None or value == "":
return None
if not isinstance(value, str):
return "Email must be a string"
if not re.match(r"^[^@\s]+@[^@\s]+\.[^@\s]+$", value.strip()):
return "Invalid email address"
return None
class JsonColumnType(ColumnType):
name = "json"
description = "JSON data"
sqlite_types = (SQLiteType.TEXT,)
async def render_cell(self, value, column, table, database, datasette, request):
if value is None:
return None
try:
parsed = json.loads(value) if isinstance(value, str) else value
formatted = json.dumps(parsed, indent=2)
escaped = markupsafe.escape(formatted)
return markupsafe.Markup(f"<pre>{escaped}</pre>")
except (json.JSONDecodeError, TypeError):
return None
async def validate(self, value, datasette):
if value is None or value == "":
return None
if isinstance(value, str):
try:
json.loads(value)
except json.JSONDecodeError:
return "Invalid JSON"
return None
@hookimpl
def register_column_types(datasette):
return [UrlColumnType, EmailColumnType, JsonColumnType]

View file

@ -1,24 +0,0 @@
from datasette import hookimpl
from datasette.resources import DatabaseResource
@hookimpl
def database_actions(datasette, actor, database, request):
async def inner():
if not datasette.get_database(database).is_mutable:
return []
if not await datasette.allowed(
action="execute-write-sql",
resource=DatabaseResource(database),
actor=actor,
):
return []
return [
{
"href": datasette.urls.database(database) + "/-/execute-write",
"label": "Execute write SQL",
"description": "Run writable SQL with table permission checks.",
}
]
return inner

View file

@ -1,75 +0,0 @@
from datasette import hookimpl
from datasette.jump import JumpSQL
DEBUG_MENU_ITEMS = (
(
"/-/databases",
"Databases",
"List of databases known to this Datasette instance.",
),
(
"/-/plugins",
"Installed plugins",
"Review loaded plugins, their versions and their registered hooks.",
),
(
"/-/versions",
"Version info",
"Check the Python, SQLite and dependency versions used by this server.",
),
(
"/-/settings",
"Settings",
"Inspect the active Datasette settings and configuration values.",
),
(
"/-/permissions",
"Debug permissions",
"Test permission checks for actors, actions and resources.",
),
(
"/-/messages",
"Debug messages",
"Try out temporary flash messages shown to users.",
),
(
"/-/allow-debug",
"Debug allow rules",
"Explore how allow blocks match actors against permission rules.",
),
(
"/-/threads",
"Debug threads",
"Inspect worker threads and database tasks.",
),
(
"/-/actor",
"Debug actor",
"View the actor object for the current signed-in user.",
),
(
"/-/patterns",
"Pattern portfolio",
"Browse Datasette UI patterns.",
),
)
@hookimpl
def jump_items_sql(datasette, actor, request):
async def inner():
if not await datasette.allowed(action="debug-menu", actor=actor):
return []
return [
JumpSQL.menu_item(
label=label,
url=datasette.urls.path(path),
description=description,
search_text=f"debug {label} {description}",
item_type="debug",
)
for path, label, description in DEBUG_MENU_ITEMS
]
return inner

View file

@ -1,82 +0,0 @@
from datasette import hookimpl
from datasette.jump import JumpSQL
@hookimpl
def jump_items_sql(datasette, actor, request):
async def inner():
database_sql, database_params = await datasette.allowed_resources_sql(
action="view-database", actor=actor
)
table_sql, table_params = await datasette.allowed_resources_sql(
action="view-table", actor=actor
)
query_sql, query_params = await datasette.allowed_resources_sql(
action="view-query", actor=actor
)
return [
JumpSQL(
sql=f"""
WITH allowed_databases AS (
{database_sql}
)
SELECT
'database' AS type,
parent AS label,
NULL AS description,
json_object(
'method', 'database',
'database', parent
) AS url,
parent AS search_text,
NULL AS display_name
FROM allowed_databases
""",
params=database_params,
),
JumpSQL(
sql=f"""
WITH allowed_tables AS (
{table_sql}
)
SELECT
CASE WHEN catalog_views.view_name IS NULL THEN 'table' ELSE 'view' END AS type,
allowed_tables.parent || ': ' || allowed_tables.child AS label,
NULL AS description,
json_object(
'method', 'table',
'database', allowed_tables.parent,
'table', allowed_tables.child
) AS url,
allowed_tables.parent || ' ' || allowed_tables.child AS search_text,
NULL AS display_name
FROM allowed_tables
LEFT JOIN catalog_views
ON catalog_views.database_name = allowed_tables.parent
AND catalog_views.view_name = allowed_tables.child
""",
params=table_params,
),
JumpSQL(
sql=f"""
WITH allowed_queries AS (
{query_sql}
)
SELECT
'query' AS type,
allowed_queries.parent || ': ' || allowed_queries.child AS label,
NULL AS description,
json_object(
'method', 'query',
'database', allowed_queries.parent,
'query', allowed_queries.child
) AS url,
allowed_queries.parent || ' ' || allowed_queries.child AS search_text,
NULL AS display_name
FROM allowed_queries
""",
params=query_params,
),
]
return inner

View file

@ -0,0 +1,41 @@
from datasette import hookimpl
@hookimpl
def menu_links(datasette, actor):
async def inner():
if not await datasette.allowed(action="debug-menu", actor=actor):
return []
return [
{"href": datasette.urls.path("/-/databases"), "label": "Databases"},
{
"href": datasette.urls.path("/-/plugins"),
"label": "Installed plugins",
},
{
"href": datasette.urls.path("/-/versions"),
"label": "Version info",
},
{
"href": datasette.urls.path("/-/settings"),
"label": "Settings",
},
{
"href": datasette.urls.path("/-/permissions"),
"label": "Debug permissions",
},
{
"href": datasette.urls.path("/-/messages"),
"label": "Debug messages",
},
{
"href": datasette.urls.path("/-/allow-debug"),
"label": "Debug allow rules",
},
{"href": datasette.urls.path("/-/threads"), "label": "Debug threads"},
{"href": datasette.urls.path("/-/actor"), "label": "Debug actor"},
{"href": datasette.urls.path("/-/patterns"), "label": "Pattern portfolio"},
]
return inner

View file

@ -17,6 +17,13 @@ UNION/INTERSECT operations. The order of evaluation is:
from __future__ import annotations
from typing import TYPE_CHECKING, Optional
if TYPE_CHECKING:
from datasette.app import Datasette
from datasette import hookimpl
# Re-export all hooks and public utilities
from .restrictions import (
actor_restrictions_sql as actor_restrictions_sql,
@ -26,9 +33,28 @@ from .restrictions import (
from .root import root_user_permissions_sql as root_user_permissions_sql
from .config import config_permissions_sql as config_permissions_sql
from .defaults import (
# Avoid "datasette.default_permissions" does not explicitly export attribute
default_allow_sql_check as default_allow_sql_check,
default_action_permissions_sql as default_action_permissions_sql,
default_query_permissions_sql as default_query_permissions_sql,
DEFAULT_ALLOW_ACTIONS as DEFAULT_ALLOW_ACTIONS,
)
from .tokens import actor_from_signed_api_token as actor_from_signed_api_token
from .tokens import create_signed_api_token as create_signed_api_token
@hookimpl
def skip_csrf(scope) -> Optional[bool]:
"""Skip CSRF check for JSON content-type requests."""
if scope["type"] == "http":
headers = scope.get("headers") or {}
if dict(headers).get(b"content-type") == b"application/json":
return True
return None
@hookimpl
def canned_queries(datasette: "Datasette", database: str, actor) -> dict:
"""Return canned queries defined in datasette.yaml configuration."""
queries = (
((datasette.config or {}).get("databases") or {}).get(database) or {}
).get("queries") or {}
return queries

View file

@ -67,48 +67,3 @@ async def default_action_permissions_sql(
return PermissionSQL.allow(reason=reason)
return None
@hookimpl(specname="permission_resources_sql")
async def default_query_permissions_sql(
datasette: "Datasette",
actor: Optional[dict],
action: str,
) -> Optional[PermissionSQL]:
actor_id = actor.get("id") if isinstance(actor, dict) else None
if action not in {"view-query", "update-query", "delete-query"}:
return None
params = {"query_owner_id": actor_id}
rule_sqls = []
if actor_id is not None:
if action in {"update-query", "delete-query"}:
# Query owner can update/delete query
rule_sqls.append("""
SELECT database_name AS parent, name AS child, 1 AS allow,
'query owner' AS reason
FROM queries
WHERE source = 'user'
AND owner_id = :query_owner_id
""")
else:
# Query owner can view-query
rule_sqls.append("""
SELECT database_name AS parent, name AS child, 1 AS allow,
'query owner' AS reason
FROM queries
WHERE owner_id = :query_owner_id
""")
# restriction_sql enforces private queries ONLY visible/mutable by owner
return PermissionSQL(
sql="\nUNION ALL\n".join(rule_sqls) if rule_sqls else None,
restriction_sql="""
SELECT database_name AS parent, name AS child
FROM queries
WHERE is_private = 0
OR owner_id = :query_owner_id
""",
params=params,
)

View file

@ -1,35 +1,44 @@
"""
Token authentication for Datasette.
Registers the default SignedTokenHandler and delegates token verification
to datasette.verify_token() so all registered handlers are tried.
Handles signed API tokens (dstok_ prefix).
"""
from __future__ import annotations
import time
from typing import TYPE_CHECKING, Optional
if TYPE_CHECKING:
from datasette.app import Datasette
import itsdangerous
from datasette import hookimpl
from datasette.tokens import SignedTokenHandler
@hookimpl
def register_token_handler(datasette: "Datasette"):
"""Register the default signed token handler."""
return SignedTokenHandler()
@hookimpl(specname="actor_from_request")
async def actor_from_signed_api_token(
datasette: "Datasette", request
) -> Optional[dict]:
def actor_from_signed_api_token(datasette: "Datasette", request) -> Optional[dict]:
"""
Authenticate requests using API tokens by delegating to all registered
token handlers via datasette.verify_token().
Authenticate requests using signed API tokens (dstok_ prefix).
Token structure (signed JSON):
{
"a": "actor_id", # Actor ID
"t": 1234567890, # Timestamp (Unix epoch)
"d": 3600, # Optional: Duration in seconds
"_r": {...} # Optional: Restrictions
}
"""
prefix = "dstok_"
# Check if tokens are enabled
if not datasette.setting("allow_signed_tokens"):
return None
max_signed_tokens_ttl = datasette.setting("max_signed_tokens_ttl")
# Get authorization header
authorization = request.headers.get("authorization")
if not authorization:
return None
@ -37,4 +46,64 @@ async def actor_from_signed_api_token(
return None
token = authorization[len("Bearer ") :]
return await datasette.verify_token(token)
if not token.startswith(prefix):
return None
# Remove prefix and verify signature
token = token[len(prefix) :]
try:
decoded = datasette.unsign(token, namespace="token")
except itsdangerous.BadSignature:
return None
# Validate timestamp
if "t" not in decoded:
return None
created = decoded["t"]
if not isinstance(created, int):
return None
# Handle duration/expiry
duration = decoded.get("d")
if duration is not None and not isinstance(duration, int):
return None
# Apply max TTL if configured
if (duration is None and max_signed_tokens_ttl) or (
duration is not None
and max_signed_tokens_ttl
and duration > max_signed_tokens_ttl
):
duration = max_signed_tokens_ttl
# Check expiry
if duration:
if time.time() - created > duration:
return None
# Build actor dict
actor = {"id": decoded["a"], "token": "dstok"}
# Copy restrictions if present
if "_r" in decoded:
actor["_r"] = decoded["_r"]
# Add expiry timestamp if applicable
if duration:
actor["token_expires"] = created + duration
return actor
@hookimpl(trylast=True, specname="create_token")
def create_signed_api_token(datasette, actor_id, expires_after, restrictions):
"""Default create_token implementation: creates a signed dstok_ token.
Runs last so that plugins like datasette-auth-tokens can override
by returning a database-backed token first.
"""
return datasette.create_signed_token(
actor_id,
expires_after=expires_after,
restrictions=restrictions,
)

View file

@ -53,19 +53,13 @@ class CreateTokenEvent(Event):
:ivar expires_after: Number of seconds after which this token will expire.
:type expires_after: int or None
:ivar restrict_all: Restricted permissions for this token.
:type restrict_all: list
:ivar restrict_database: Restricted database permissions for this token.
:type restrict_database: dict
:ivar restrict_resource: Restricted resource permissions for this token.
:type restrict_resource: dict
:ivar restrictions: Token restrictions (a :class:`TokenRestrictions` instance).
:type restrictions: TokenRestrictions
"""
name = "create-token"
expires_after: int | None
restrict_all: list
restrict_database: dict
restrict_resource: dict
restrictions: object # TokenRestrictions
@dataclass
@ -199,27 +193,6 @@ class UpdateRowEvent(Event):
pks: list
@dataclass
class RenameTableEvent(Event):
"""
Event name: ``rename-table``
A table has been renamed.
:ivar database: The name of the database containing the renamed table.
:type database: str
:ivar old_table: The previous name of the table.
:type old_table: str
:ivar new_table: The new name of the table.
:type new_table: str
"""
name = "rename-table"
database: str
old_table: str
new_table: str
@dataclass
class DeleteRowEvent(Event):
"""
@ -240,42 +213,6 @@ class DeleteRowEvent(Event):
pks: list
@hookimpl
def write_wrapper(datasette, database, request, transaction):
def wrapper(conn, track_event):
# Snapshot rootpage -> name before the write
before = {
row[1]: row[0]
for row in conn.execute(
"select name, rootpage from sqlite_master"
" where type='table' and rootpage != 0"
).fetchall()
}
yield
# Snapshot rootpage -> name after the write
after = {
row[1]: row[0]
for row in conn.execute(
"select name, rootpage from sqlite_master"
" where type='table' and rootpage != 0"
).fetchall()
}
# Detect renames: same rootpage, different name
for rootpage, old_name in before.items():
new_name = after.get(rootpage)
if new_name and new_name != old_name:
track_event(
RenameTableEvent(
actor=request.actor if request else None,
database=database,
old_table=old_name,
new_table=new_name,
)
)
return wrapper
@hookimpl
def register_events():
return [
@ -284,7 +221,6 @@ def register_events():
CreateTableEvent,
CreateTokenEvent,
AlterTableEvent,
RenameTableEvent,
DropTableEvent,
InsertRowsEvent,
UpsertRowsEvent,

View file

@ -83,7 +83,7 @@ class Facet:
self.ds = ds
self.request = request
self.database = database
# For foreign key expansion. Can be None for e.g. stored SQL queries:
# For foreign key expansion. Can be None for e.g. canned SQL queries:
self.table = table
self.sql = sql or f"select * from [{table}]"
self.params = params or []

View file

@ -1,415 +0,0 @@
from datasette.utils.sqlite import sqlite3
from datasette.utils import documented
import itertools
import random
import string
__all__ = [
"EXTRA_DATABASE_SQL",
"TABLES",
"TABLE_PARAMETERIZED_SQL",
"generate_compound_rows",
"generate_sortable_rows",
"populate_extra_database",
"populate_fixture_database",
"write_extra_database",
"write_fixture_database",
]
def generate_compound_rows(num):
"""Generate rows for the compound_three_primary_keys fixture table."""
for a, b, c in itertools.islice(
itertools.product(string.ascii_lowercase, repeat=3), num
):
yield a, b, c, f"{a}-{b}-{c}"
def generate_sortable_rows(num):
"""Generate rows for the sortable fixture table."""
rand = random.Random(42)
for a, b in itertools.islice(
itertools.product(string.ascii_lowercase, repeat=2), num
):
yield {
"pk1": a,
"pk2": b,
"content": f"{a}-{b}",
"sortable": rand.randint(-100, 100),
"sortable_with_nulls": rand.choice([None, rand.random(), rand.random()]),
"sortable_with_nulls_2": rand.choice([None, rand.random(), rand.random()]),
"text": rand.choice(["$null", "$blah"]),
}
TABLES = (
"""
CREATE TABLE simple_primary_key (
id integer primary key,
content text
);
CREATE TABLE primary_key_multiple_columns (
id varchar(30) primary key,
content text,
content2 text
);
CREATE TABLE primary_key_multiple_columns_explicit_label (
id varchar(30) primary key,
content text,
content2 text
);
CREATE TABLE compound_primary_key (
pk1 varchar(30),
pk2 varchar(30),
content text,
PRIMARY KEY (pk1, pk2)
);
INSERT INTO compound_primary_key VALUES ('a', 'b', 'c');
INSERT INTO compound_primary_key VALUES ('a/b', '.c-d', 'c');
INSERT INTO compound_primary_key VALUES ('d', 'e', 'RENDER_CELL_DEMO');
CREATE TABLE compound_three_primary_keys (
pk1 varchar(30),
pk2 varchar(30),
pk3 varchar(30),
content text,
PRIMARY KEY (pk1, pk2, pk3)
);
CREATE INDEX idx_compound_three_primary_keys_content ON compound_three_primary_keys(content);
CREATE TABLE foreign_key_references (
pk varchar(30) primary key,
foreign_key_with_label integer,
foreign_key_with_blank_label integer,
foreign_key_with_no_label varchar(30),
foreign_key_compound_pk1 varchar(30),
foreign_key_compound_pk2 varchar(30),
FOREIGN KEY (foreign_key_with_label) REFERENCES simple_primary_key(id),
FOREIGN KEY (foreign_key_with_blank_label) REFERENCES simple_primary_key(id),
FOREIGN KEY (foreign_key_with_no_label) REFERENCES primary_key_multiple_columns(id)
FOREIGN KEY (foreign_key_compound_pk1, foreign_key_compound_pk2) REFERENCES compound_primary_key(pk1, pk2)
);
CREATE TABLE sortable (
pk1 varchar(30),
pk2 varchar(30),
content text,
sortable integer,
sortable_with_nulls real,
sortable_with_nulls_2 real,
text text,
PRIMARY KEY (pk1, pk2)
);
CREATE TABLE no_primary_key (
content text,
a text,
b text,
c text
);
CREATE TABLE [123_starts_with_digits] (
content text
);
CREATE VIEW paginated_view AS
SELECT
content,
'- ' || content || ' -' AS content_extra
FROM no_primary_key;
CREATE TABLE "Table With Space In Name" (
pk varchar(30) primary key,
content text
);
CREATE TABLE "table/with/slashes.csv" (
pk varchar(30) primary key,
content text
);
CREATE TABLE "complex_foreign_keys" (
pk varchar(30) primary key,
f1 integer,
f2 integer,
f3 integer,
FOREIGN KEY ("f1") REFERENCES [simple_primary_key](id),
FOREIGN KEY ("f2") REFERENCES [simple_primary_key](id),
FOREIGN KEY ("f3") REFERENCES [simple_primary_key](id)
);
CREATE TABLE "custom_foreign_key_label" (
pk varchar(30) primary key,
foreign_key_with_custom_label text,
FOREIGN KEY ("foreign_key_with_custom_label") REFERENCES [primary_key_multiple_columns_explicit_label](id)
);
CREATE TABLE tags (
tag TEXT PRIMARY KEY
);
CREATE TABLE searchable (
pk integer primary key,
text1 text,
text2 text,
[name with . and spaces] text
);
CREATE TABLE searchable_tags (
searchable_id integer,
tag text,
PRIMARY KEY (searchable_id, tag),
FOREIGN KEY (searchable_id) REFERENCES searchable(pk),
FOREIGN KEY (tag) REFERENCES tags(tag)
);
INSERT INTO searchable VALUES (1, 'barry cat', 'terry dog', 'panther');
INSERT INTO searchable VALUES (2, 'terry dog', 'sara weasel', 'puma');
INSERT INTO tags VALUES ("canine");
INSERT INTO tags VALUES ("feline");
INSERT INTO searchable_tags (searchable_id, tag) VALUES
(1, "feline"),
(2, "canine")
;
CREATE VIRTUAL TABLE "searchable_fts"
USING FTS5 (text1, text2, [name with . and spaces], content="searchable", content_rowid="pk");
INSERT INTO "searchable_fts" (searchable_fts) VALUES ('rebuild');
CREATE TABLE [select] (
[group] text,
[having] text,
[and] text,
[json] text
);
INSERT INTO [select] VALUES ('group', 'having', 'and',
'{"href": "http://example.com/", "label":"Example"}'
);
CREATE TABLE infinity (
value REAL
);
INSERT INTO infinity VALUES
(1e999),
(-1e999),
(1.5)
;
CREATE TABLE facet_cities (
id integer primary key,
name text
);
INSERT INTO facet_cities (id, name) VALUES
(1, 'San Francisco'),
(2, 'Los Angeles'),
(3, 'Detroit'),
(4, 'Memnonia')
;
CREATE TABLE facetable (
pk integer primary key,
created text,
planet_int integer,
on_earth integer,
state text,
_city_id integer,
_neighborhood text,
tags text,
complex_array text,
distinct_some_null,
n text,
FOREIGN KEY ("_city_id") REFERENCES [facet_cities](id)
);
INSERT INTO facetable
(created, planet_int, on_earth, state, _city_id, _neighborhood, tags, complex_array, distinct_some_null, n)
VALUES
("2019-01-14 08:00:00", 1, 1, 'CA', 1, 'Mission', '["tag1", "tag2"]', '[{"foo": "bar"}]', 'one', 'n1'),
("2019-01-14 08:00:00", 1, 1, 'CA', 1, 'Dogpatch', '["tag1", "tag3"]', '[]', 'two', 'n2'),
("2019-01-14 08:00:00", 1, 1, 'CA', 1, 'SOMA', '[]', '[]', null, null),
("2019-01-14 08:00:00", 1, 1, 'CA', 1, 'Tenderloin', '[]', '[]', null, null),
("2019-01-15 08:00:00", 1, 1, 'CA', 1, 'Bernal Heights', '[]', '[]', null, null),
("2019-01-15 08:00:00", 1, 1, 'CA', 1, 'Hayes Valley', '[]', '[]', null, null),
("2019-01-15 08:00:00", 1, 1, 'CA', 2, 'Hollywood', '[]', '[]', null, null),
("2019-01-15 08:00:00", 1, 1, 'CA', 2, 'Downtown', '[]', '[]', null, null),
("2019-01-16 08:00:00", 1, 1, 'CA', 2, 'Los Feliz', '[]', '[]', null, null),
("2019-01-16 08:00:00", 1, 1, 'CA', 2, 'Koreatown', '[]', '[]', null, null),
("2019-01-16 08:00:00", 1, 1, 'MI', 3, 'Downtown', '[]', '[]', null, null),
("2019-01-17 08:00:00", 1, 1, 'MI', 3, 'Greektown', '[]', '[]', null, null),
("2019-01-17 08:00:00", 1, 1, 'MI', 3, 'Corktown', '[]', '[]', null, null),
("2019-01-17 08:00:00", 1, 1, 'MI', 3, 'Mexicantown', '[]', '[]', null, null),
("2019-01-17 08:00:00", 2, 0, 'MC', 4, 'Arcadia Planitia', '[]', '[]', null, null)
;
CREATE TABLE binary_data (
data BLOB
);
-- Many 2 Many demo: roadside attractions!
CREATE TABLE roadside_attractions (
pk integer primary key,
name text,
address text,
url text,
latitude real,
longitude real
);
INSERT INTO roadside_attractions VALUES (
1, "The Mystery Spot", "465 Mystery Spot Road, Santa Cruz, CA 95065", "https://www.mysteryspot.com/",
37.0167, -122.0024
);
INSERT INTO roadside_attractions VALUES (
2, "Winchester Mystery House", "525 South Winchester Boulevard, San Jose, CA 95128", "https://winchestermysteryhouse.com/",
37.3184, -121.9511
);
INSERT INTO roadside_attractions VALUES (
3, "Burlingame Museum of PEZ Memorabilia", "214 California Drive, Burlingame, CA 94010", null,
37.5793, -122.3442
);
INSERT INTO roadside_attractions VALUES (
4, "Bigfoot Discovery Museum", "5497 Highway 9, Felton, CA 95018", "https://www.bigfootdiscoveryproject.com/",
37.0414, -122.0725
);
CREATE TABLE attraction_characteristic (
pk integer primary key,
name text
);
INSERT INTO attraction_characteristic VALUES (
1, "Museum"
);
INSERT INTO attraction_characteristic VALUES (
2, "Paranormal"
);
CREATE TABLE roadside_attraction_characteristics (
attraction_id INTEGER REFERENCES roadside_attractions(pk),
characteristic_id INTEGER REFERENCES attraction_characteristic(pk)
);
INSERT INTO roadside_attraction_characteristics VALUES (
1, 2
);
INSERT INTO roadside_attraction_characteristics VALUES (
2, 2
);
INSERT INTO roadside_attraction_characteristics VALUES (
4, 2
);
INSERT INTO roadside_attraction_characteristics VALUES (
3, 1
);
INSERT INTO roadside_attraction_characteristics VALUES (
4, 1
);
INSERT INTO simple_primary_key VALUES (1, 'hello');
INSERT INTO simple_primary_key VALUES (2, 'world');
INSERT INTO simple_primary_key VALUES (3, '');
INSERT INTO simple_primary_key VALUES (4, 'RENDER_CELL_DEMO');
INSERT INTO simple_primary_key VALUES (5, 'RENDER_CELL_ASYNC');
INSERT INTO primary_key_multiple_columns VALUES (1, 'hey', 'world');
INSERT INTO primary_key_multiple_columns_explicit_label VALUES (1, 'hey', 'world2');
INSERT INTO foreign_key_references VALUES (1, 1, 3, 1, 'a', 'b');
INSERT INTO foreign_key_references VALUES (2, null, null, null, null, null);
INSERT INTO complex_foreign_keys VALUES (1, 1, 2, 1);
INSERT INTO custom_foreign_key_label VALUES (1, 1);
INSERT INTO [table/with/slashes.csv] VALUES (3, 'hey');
CREATE VIEW simple_view AS
SELECT content, upper(content) AS upper_content FROM simple_primary_key;
CREATE VIEW searchable_view AS
SELECT * from searchable;
CREATE VIEW searchable_view_configured_by_metadata AS
SELECT * from searchable;
"""
+ "\n".join(
[
'INSERT INTO no_primary_key VALUES ({i}, "a{i}", "b{i}", "c{i}");'.format(
i=i + 1
)
for i in range(201)
]
)
+ '\nINSERT INTO no_primary_key VALUES ("RENDER_CELL_DEMO", "a202", "b202", "c202");\n'
+ "\n".join(
[
'INSERT INTO compound_three_primary_keys VALUES ("{a}", "{b}", "{c}", "{content}");'.format(
a=a, b=b, c=c, content=content
)
for a, b, c, content in generate_compound_rows(1001)
]
)
+ "\n".join(["""INSERT INTO sortable VALUES (
"{pk1}", "{pk2}", "{content}", {sortable},
{sortable_with_nulls}, {sortable_with_nulls_2}, "{text}");
""".format(**row).replace("None", "null") for row in generate_sortable_rows(201)])
)
TABLE_PARAMETERIZED_SQL = [
("insert into binary_data (data) values (?);", [b"\x15\x1c\x02\xc7\xad\x05\xfe"]),
("insert into binary_data (data) values (?);", [b"\x15\x1c\x03\xc7\xad\x05\xfe"]),
("insert into binary_data (data) values (null);", []),
]
EXTRA_DATABASE_SQL = """
CREATE TABLE searchable (
pk integer primary key,
text1 text,
text2 text
);
CREATE VIEW searchable_view AS SELECT * FROM searchable;
INSERT INTO searchable VALUES (1, 'barry cat', 'terry dog');
INSERT INTO searchable VALUES (2, 'terry dog', 'sara weasel');
CREATE VIRTUAL TABLE "searchable_fts"
USING FTS3 (text1, text2, content="searchable");
INSERT INTO "searchable_fts" (rowid, text1, text2)
SELECT rowid, text1, text2 FROM searchable;
"""
@documented(label="datasette_fixtures_populate_fixture_database")
def populate_fixture_database(conn):
"""Populate a SQLite connection with Datasette's test fixture tables."""
conn.executescript(TABLES)
for sql, params in TABLE_PARAMETERIZED_SQL:
with conn:
conn.execute(sql, params)
def populate_extra_database(conn):
"""Populate a SQLite connection with the extra database used in tests."""
conn.executescript(EXTRA_DATABASE_SQL)
def write_fixture_database(db_filename):
"""Write Datasette's test fixture tables to a SQLite database file."""
conn = sqlite3.connect(db_filename)
try:
populate_fixture_database(conn)
finally:
conn.close()
def write_extra_database(db_filename):
"""Write the extra test database tables to a SQLite database file."""
conn = sqlite3.connect(db_filename)
try:
populate_extra_database(conn)
finally:
conn.close()

View file

@ -55,17 +55,7 @@ def publish_subcommand(publish):
@hookspec
def render_cell(
row,
value,
column,
table,
pks,
database,
datasette,
request,
column_type,
):
def render_cell(row, value, column, table, pks, database, datasette, request):
"""Customize rendering of HTML table cell values"""
@ -84,11 +74,6 @@ def register_actions(datasette):
"""Register actions: returns a list of datasette.permission.Action objects"""
@hookspec
def register_column_types(datasette):
"""Return a list of ColumnType subclasses"""
@hookspec
def register_routes(datasette):
"""Register URL routes: return a list of (regex, view_function) pairs"""
@ -137,6 +122,11 @@ def permission_resources_sql(datasette, actor, action):
"""
@hookspec
def canned_queries(datasette, database, actor):
"""Return a dictionary of canned query definitions or an awaitable function that returns them"""
@hookspec
def register_magic_parameters(datasette):
"""Return a list of (name, function) magic parameter functions"""
@ -152,11 +142,6 @@ def menu_links(datasette, actor, request):
"""Links for the navigation menu"""
@hookspec
def jump_items_sql(datasette, actor, request):
"""SQL fragments for extra items in the jump menu"""
@hookspec
def row_actions(datasette, actor, request, database, table, row):
"""Links for the row actions menu"""
@ -174,7 +159,7 @@ def view_actions(datasette, actor, database, view, request):
@hookspec
def query_actions(datasette, actor, database, query_name, request, sql, params):
"""Links for the query and stored query actions menu"""
"""Links for the query and canned query actions menu"""
@hookspec
@ -187,6 +172,11 @@ def homepage_actions(datasette, actor, request):
"""Links for the homepage actions menu"""
@hookspec
def skip_csrf(datasette, scope):
"""Mechanism for skipping CSRF checks for certain requests"""
@hookspec
def handle_exception(datasette, request, exception):
"""Handle an uncaught exception. Can return a Response or None."""
@ -228,31 +218,20 @@ def top_query(datasette, request, database, sql):
@hookspec
def top_stored_query(datasette, request, database, query_name):
"""HTML to include at the top of the stored query page"""
@hookspec
def register_token_handler(datasette):
"""Return a TokenHandler instance for token creation and verification"""
def top_canned_query(datasette, request, database, query_name):
"""HTML to include at the top of the canned query page"""
@hookspec
def write_wrapper(datasette, database, request, transaction):
"""Called when a write function is about to execute.
Return a generator function that accepts a ``conn`` argument and
optionally a ``track_event`` argument. The generator should
``yield`` exactly once: code before the ``yield`` runs before
the write, code after the ``yield`` runs after the write
completes. The result of the write is sent back through the
``yield``, so you can capture it with ``result = yield``.
If your generator accepts ``track_event``, you can call
``track_event(event)`` to queue an event that will be dispatched
via ``datasette.track_event()`` after the write commits
successfully. Events are discarded if the write raises an
exception.
Return a generator function that accepts a ``conn`` argument.
The generator should ``yield`` exactly once: code before the
``yield`` runs before the write, code after the ``yield`` runs
after the write completes. The result of the write is sent
back through the ``yield``, so you can capture it with
``result = yield``.
If the write raises an exception, it is thrown into the generator
so you can handle it with a try/except around the ``yield``.
@ -263,3 +242,23 @@ def write_wrapper(datasette, database, request, transaction):
Return ``None`` to skip wrapping.
"""
@hookspec
def create_token(datasette, actor_id, expires_after, restrictions):
"""Create an API token for the given actor.
Return a token string, or ``None`` to let the next implementation
handle token creation. Implementations may be synchronous or
async (return an awaitable).
Parameters mirror ``Datasette.create_token()``:
- ``actor_id``: the actor ID to embed in the token.
- ``expires_after``: seconds until expiry, or ``None``.
- ``restrictions``: a :class:`TokenRestrictions` dataclass with
``all``, ``database``, and ``resource`` fields.
The default (``trylast``) implementation creates a signed
``dstok_`` token. Plugins like ``datasette-auth-tokens`` can
override this to create database-backed tokens instead.
"""

View file

@ -1,68 +0,0 @@
from __future__ import annotations
import re
from dataclasses import dataclass
from typing import Any
@dataclass
class JumpSQL:
sql: str
params: dict[str, Any] | None = None
database: str | None = None
@classmethod
def menu_item(
cls,
*,
label: str,
url: str,
description: str = "Menu item",
search_text: str | None = None,
display_name: str | None = None,
item_type: str = "menu",
) -> "JumpSQL":
if search_text is None:
search_text = " ".join(
text for text in (label, display_name, description) if text is not None
)
return cls(
sql="""
SELECT
:type AS type,
:label AS label,
:description AS description,
:url AS url,
:search_text AS search_text,
:display_name AS display_name
""",
params={
"type": item_type,
"label": label,
"description": description,
"url": url,
"search_text": search_text,
"display_name": display_name,
},
)
_PARAM_RE = re.compile(r"(?<!:):([A-Za-z_][A-Za-z0-9_]*)")
def namespace_sql_params(sql: str, params: dict[str, Any], prefix: str):
"""Rename named SQL parameters so UNION query parameters cannot collide."""
if not params:
return sql, {}
renamed = {key: f"{prefix}_{key}" for key in params}
def replace(match):
key = match.group(1)
if key not in renamed:
return match.group(0)
return f":{renamed[key]}"
return _PARAM_RE.sub(replace, sql), {
renamed[key]: value for key, value in params.items()
}

View file

@ -105,7 +105,7 @@ class Resource(ABC):
@classmethod
@abstractmethod
async def resources_sql(cls, datasette, actor=None) -> str:
def resources_sql(cls) -> str:
"""
Return SQL query that returns all resources of this type.
@ -121,6 +121,19 @@ class AllowedResource(NamedTuple):
reason: str
@dataclass
class TokenRestrictions:
"""Restrictions that can be applied to an API token.
``all`` restricts globally, ``database`` restricts per-database,
and ``resource`` restricts per-resource within a database.
"""
all: list[str]
database: dict[str, list[str]]
resource: dict[str, dict[str, list[str]]]
@dataclass(frozen=True, kw_only=True)
class Action:
name: str

View file

@ -23,14 +23,10 @@ DEFAULT_PLUGINS = (
"datasette.sql_functions",
"datasette.actor_auth_cookie",
"datasette.default_permissions",
"datasette.default_permissions.tokens",
"datasette.default_actions",
"datasette.default_column_types",
"datasette.default_magic_parameters",
"datasette.blob_renderer",
"datasette.default_debug_menu",
"datasette.default_jump_items",
"datasette.default_database_actions",
"datasette.default_menu_links",
"datasette.handle_exception",
"datasette.forbidden",
"datasette.events",

View file

@ -13,7 +13,7 @@ class DatabaseResource(Resource):
super().__init__(parent=database, child=None)
@classmethod
async def resources_sql(cls, datasette, actor=None) -> str:
async def resources_sql(cls, datasette) -> str:
return """
SELECT database_name AS parent, NULL AS child
FROM catalog_databases
@ -30,7 +30,7 @@ class TableResource(Resource):
super().__init__(parent=database, child=table)
@classmethod
async def resources_sql(cls, datasette, actor=None) -> str:
async def resources_sql(cls, datasette) -> str:
return """
SELECT database_name AS parent, table_name AS child
FROM catalog_tables
@ -41,7 +41,7 @@ class TableResource(Resource):
class QueryResource(Resource):
"""A stored query in a database."""
"""A canned query in a database."""
name = "query"
parent_class = DatabaseResource
@ -50,9 +50,41 @@ class QueryResource(Resource):
super().__init__(parent=database, child=query)
@classmethod
async def resources_sql(cls, datasette, actor=None) -> str:
return """
SELECT q.database_name AS parent, q.name AS child
FROM queries q
JOIN catalog_databases cd ON cd.database_name = q.database_name
"""
async def resources_sql(cls, datasette) -> str:
from datasette.plugins import pm
from datasette.utils import await_me_maybe
# Get all databases from catalog
db = datasette.get_internal_database()
result = await db.execute("SELECT database_name FROM catalog_databases")
databases = [row[0] for row in result.rows]
# Gather all canned queries from all databases
query_pairs = []
for database_name in databases:
# Call the hook to get queries (including from config via default plugin)
for queries_result in pm.hook.canned_queries(
datasette=datasette,
database=database_name,
actor=None, # Get ALL queries for resource enumeration
):
queries = await await_me_maybe(queries_result)
if queries:
for query_name in queries.keys():
query_pairs.append((database_name, query_name))
# Build SQL
if not query_pairs:
return "SELECT NULL AS parent, NULL AS child WHERE 0"
# Generate UNION ALL query
selects = []
for db_name, query_name in query_pairs:
# Escape single quotes by doubling them
db_escaped = db_name.replace("'", "''")
query_escaped = query_name.replace("'", "''")
selects.append(
f"SELECT '{db_escaped}' AS parent, '{query_escaped}' AS child"
)
return " UNION ALL ".join(selects)

View file

@ -63,14 +63,6 @@ em {
}
/* end reset */
/* Modal CSS variables (shared by web components via Shadow DOM) */
:root {
--modal-backdrop-bg: rgba(0, 0, 0, 0.5);
--modal-backdrop-blur: blur(4px);
--modal-border-radius: 0.75rem;
--modal-shadow: 0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04);
--modal-animation-duration: 0.2s;
}
body {
margin: 0;
@ -362,32 +354,6 @@ form.nav-menu-logout {
.nav-menu-inner a {
display: block;
}
.nav-menu-inner button.button-as-link {
display: block;
width: 100%;
text-align: left;
font: inherit;
}
.nav-menu-inner .keyboard-shortcut {
float: right;
box-sizing: border-box;
min-width: 1.4em;
margin-left: 0.75rem;
padding: 0 0.35em;
border: 1px solid rgba(255,255,244,0.6);
border-radius: 3px;
background: rgba(255,255,244,0.12);
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
font-size: 0.85em;
line-height: 1.35;
text-align: center;
text-decoration: none;
}
@media (max-width: 640px) {
.nav-menu-inner .keyboard-shortcut {
display: none;
}
}
/* Table/database actions menu */
.page-action-menu {
@ -768,474 +734,6 @@ p.zero-results {
.select-wrapper.small-screen-only {
display: none;
}
@keyframes datasette-modal-slide-in {
from {
opacity: 0;
transform: translateY(-20px) scale(0.95);
}
to {
opacity: 1;
transform: translateY(0) scale(1);
}
}
@keyframes datasette-modal-fade-in {
from { opacity: 0; }
to { opacity: 1; }
}
dialog.mobile-column-actions-dialog {
--ink: #0f0f0f;
--paper: #f5f3ef;
--muted: #6b6b6b;
--rule: #e2dfd8;
--accent: #1a56db;
--card: #ffffff;
border: none;
border-radius: var(--modal-border-radius, 0.75rem);
padding: 0;
margin: auto;
width: min(420px, calc(100vw - 32px));
max-width: 95vw;
max-height: min(640px, calc(100vh - 32px));
box-shadow: var(--modal-shadow, 0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04));
animation: datasette-modal-slide-in var(--modal-animation-duration, 0.2s) ease-out;
overflow: hidden;
font-family: system-ui, -apple-system, sans-serif;
background: var(--card);
}
dialog.mobile-column-actions-dialog[open] {
display: flex;
flex-direction: column;
}
dialog.mobile-column-actions-dialog::backdrop {
background: var(--modal-backdrop-bg, rgba(0, 0, 0, 0.5));
backdrop-filter: var(--modal-backdrop-blur, blur(4px));
-webkit-backdrop-filter: var(--modal-backdrop-blur, blur(4px));
animation: datasette-modal-fade-in var(--modal-animation-duration, 0.2s) ease-out;
}
.mobile-column-actions-dialog .modal-header {
padding: 20px 24px 16px;
border-bottom: 1px solid var(--rule);
display: flex;
align-items: center;
justify-content: space-between;
gap: 12px;
flex-shrink: 0;
}
.mobile-column-actions-dialog .modal-title {
font-size: 1rem;
font-weight: 600;
color: var(--ink);
}
.mobile-column-actions-dialog .modal-meta {
font-family: ui-monospace, monospace;
font-size: 0.7rem;
color: var(--muted);
background: var(--paper);
padding: 3px 9px;
border-radius: 20px;
}
.mobile-column-actions-dialog .list-wrap {
flex: 1 1 auto;
min-height: 0;
overflow-y: auto;
overflow-x: hidden;
position: relative;
overscroll-behavior: contain;
-webkit-overflow-scrolling: touch;
}
.mobile-column-actions-dialog .list-wrap::before,
.mobile-column-actions-dialog .list-wrap::after {
content: "";
position: sticky;
display: block;
left: 0;
right: 0;
height: 20px;
pointer-events: none;
z-index: 5;
}
.mobile-column-actions-dialog .list-wrap::before {
top: 0;
background: linear-gradient(to bottom, rgba(255,255,255,0.9), transparent);
}
.mobile-column-actions-dialog .list-wrap::after {
bottom: 0;
background: linear-gradient(to top, rgba(255,255,255,0.9), transparent);
margin-top: -20px;
}
.mobile-column-top-actions {
padding: 10px 24px 0;
}
.mobile-column-top-action {
display: inline-block;
text-decoration: none;
}
.mobile-column-section {
border-bottom: 1px solid var(--rule);
}
.mobile-column-actions-dialog .col-header {
width: 100%;
padding: 12px 24px;
font: inherit;
font-weight: 600;
border: 0;
background: none;
cursor: pointer;
display: flex;
justify-content: space-between;
align-items: center;
text-align: left;
}
.mobile-column-header-text {
display: flex;
flex-direction: column;
gap: 0.15rem;
}
.mobile-column-name {
color: var(--ink);
}
.mobile-column-meta {
color: var(--muted);
font-size: 0.78em;
font-family: ui-monospace, monospace;
font-weight: normal;
}
.mobile-column-chevron {
color: var(--muted);
transition: transform 0.2s ease-out;
}
.mobile-column-actions-dialog .col-header[aria-expanded="true"] .mobile-column-chevron {
transform: rotate(180deg);
}
.mobile-column-actions-dialog .col-actions[hidden] {
display: none;
}
.mobile-column-actions-dialog .col-actions ul,
.mobile-column-actions-dialog .col-actions li {
margin: 0;
padding: 0;
list-style-type: none;
}
.mobile-column-actions-dialog .col-actions a,
.mobile-column-actions-dialog .col-actions button {
display: block;
width: 100%;
padding: 10px 24px 10px 40px;
color: var(--ink);
text-align: left;
font: inherit;
text-decoration: none;
background: none;
border: 0;
border-top: 1px solid #f5f5f5;
cursor: pointer;
}
.mobile-column-actions-dialog .col-actions a:hover,
.mobile-column-actions-dialog .col-actions button:hover {
background: var(--paper);
}
.mobile-column-actions-dialog .col-actions a:active,
.mobile-column-actions-dialog .col-actions button:active {
background: #eee;
}
.mobile-column-description,
.mobile-column-no-actions {
margin: 0;
padding: 0 24px 12px 24px;
color: var(--muted);
font-size: 0.85em;
}
.mobile-column-actions-dialog .modal-footer {
padding: 14px 20px;
border-top: 1px solid var(--rule);
display: flex;
align-items: center;
gap: 10px;
flex-shrink: 0;
background: var(--paper);
}
.mobile-column-actions-dialog .footer-info {
flex: 1;
font-family: ui-monospace, monospace;
font-size: 0.68rem;
color: var(--muted);
}
.mobile-column-actions-dialog .btn {
border: none;
border-radius: 5px;
padding: 9px 20px;
font-size: 0.85rem;
font-weight: 500;
cursor: pointer;
touch-action: manipulation;
font-family: inherit;
transition: background 0.12s;
}
.mobile-column-actions-dialog .btn-ghost {
background: transparent;
color: var(--muted);
border: 1px solid var(--rule);
}
.mobile-column-actions-dialog .btn-ghost:hover {
background: var(--rule);
color: var(--ink);
}
dialog.set-column-type-dialog {
--ink: #0f0f0f;
--paper: #f5f3ef;
--muted: #6b6b6b;
--rule: #e2dfd8;
--accent: #1a56db;
--card: #ffffff;
border: none;
border-radius: var(--modal-border-radius, 0.75rem);
padding: 0;
margin: auto;
width: min(520px, calc(100vw - 32px));
max-width: 95vw;
max-height: min(720px, calc(100vh - 32px));
box-shadow: var(--modal-shadow, 0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04));
animation: datasette-modal-slide-in var(--modal-animation-duration, 0.2s) ease-out;
overflow: hidden;
font-family: system-ui, -apple-system, sans-serif;
background: var(--card);
}
dialog.set-column-type-dialog[open] {
display: flex;
flex-direction: column;
}
dialog.set-column-type-dialog::backdrop {
background: var(--modal-backdrop-bg, rgba(0, 0, 0, 0.5));
backdrop-filter: var(--modal-backdrop-blur, blur(4px));
-webkit-backdrop-filter: var(--modal-backdrop-blur, blur(4px));
animation: datasette-modal-fade-in var(--modal-animation-duration, 0.2s) ease-out;
}
.set-column-type-dialog .modal-header {
padding: 20px 24px 12px;
border-bottom: 1px solid var(--rule);
display: flex;
align-items: center;
justify-content: space-between;
gap: 12px;
flex-shrink: 0;
}
.set-column-type-dialog .modal-title {
font-size: 1rem;
font-weight: 600;
color: var(--ink);
}
.set-column-type-dialog .modal-meta {
font-family: ui-monospace, monospace;
font-size: 0.7rem;
color: var(--muted);
background: var(--paper);
padding: 3px 9px;
border-radius: 20px;
}
.set-column-type-status,
.set-column-type-empty,
.set-column-type-error {
margin: 0;
padding: 12px 24px 0;
}
.set-column-type-status,
.set-column-type-empty {
color: var(--muted);
font-size: 0.9rem;
}
.set-column-type-error {
color: #b91c1c;
font-size: 0.9rem;
}
.set-column-type-options {
padding: 16px 24px 24px;
overflow-y: auto;
display: grid;
gap: 12px;
}
.set-column-type-option {
display: grid;
grid-template-columns: auto 1fr;
gap: 12px;
align-items: start;
padding: 14px 16px;
border: 1px solid var(--rule);
border-radius: 8px;
background: #fcfbf9;
cursor: pointer;
}
.set-column-type-option:focus-within {
border-color: var(--accent);
box-shadow: 0 0 0 3px rgba(26, 86, 219, 0.12);
}
.set-column-type-option input {
margin-top: 3px;
}
.set-column-type-option-content {
display: grid;
gap: 4px;
}
.set-column-type-option-name {
font-family: ui-monospace, monospace;
font-size: 0.95rem;
color: var(--ink);
}
.set-column-type-option-description {
color: var(--muted);
font-size: 0.9rem;
}
.set-column-type-dialog .modal-footer {
padding: 14px 20px;
border-top: 1px solid var(--rule);
display: flex;
align-items: center;
gap: 10px;
flex-shrink: 0;
background: var(--paper);
}
.set-column-type-dialog .footer-info {
flex: 1;
font-family: ui-monospace, monospace;
font-size: 0.68rem;
color: var(--muted);
}
.set-column-type-dialog .btn {
border: none;
border-radius: 5px;
padding: 9px 20px;
font-size: 0.85rem;
font-weight: 500;
cursor: pointer;
touch-action: manipulation;
font-family: inherit;
transition: background 0.12s;
}
.set-column-type-dialog .btn-ghost {
background: transparent;
color: var(--muted);
border: 1px solid var(--rule);
}
.set-column-type-dialog .btn-ghost:hover {
background: var(--rule);
color: var(--ink);
}
.set-column-type-dialog .btn-primary {
background: var(--accent);
color: #fff;
}
.set-column-type-dialog .btn-primary:hover {
background: #1949b8;
}
.set-column-type-dialog .btn:disabled {
opacity: 0.65;
cursor: wait;
}
@media (max-width: 640px) {
dialog.mobile-column-actions-dialog {
width: 95vw;
max-height: 85vh;
border-radius: 0.5rem;
}
.mobile-column-actions-dialog .modal-header {
padding: 16px 18px 14px;
}
.mobile-column-top-actions {
padding-left: 18px;
padding-right: 18px;
}
.mobile-column-actions-dialog .col-header {
padding-left: 18px;
padding-right: 18px;
}
.mobile-column-actions-dialog .col-actions a,
.mobile-column-actions-dialog .col-actions button {
padding-left: 34px;
padding-right: 18px;
}
.mobile-column-description,
.mobile-column-no-actions {
padding-left: 18px;
padding-right: 18px;
}
dialog.set-column-type-dialog {
width: 95vw;
max-height: 85vh;
border-radius: 0.5rem;
}
.set-column-type-dialog .modal-header,
.set-column-type-status,
.set-column-type-empty,
.set-column-type-error,
.set-column-type-options {
padding-left: 18px;
padding-right: 18px;
}
}
@media only screen and (max-width: 576px) {
.small-screen-only {
@ -1297,43 +795,6 @@ dialog.set-column-type-dialog::backdrop {
.filters input.filter-value {
width: 140px;
}
button.choose-columns-mobile,
button.column-actions-mobile {
display: inline-flex;
align-items: center;
justify-content: center;
padding: 0.5rem 1rem;
margin-bottom: 1em;
font-size: 0.9rem;
line-height: 1.2;
font-family: inherit;
background: white;
border: 1px solid #ccc;
border-radius: 5px;
cursor: pointer;
vertical-align: top;
box-sizing: border-box;
min-height: 2.5rem;
}
button.column-actions-mobile {
gap: 0.55rem;
}
button.column-actions-mobile svg {
display: block;
width: 16px;
height: 16px;
flex-shrink: 0;
}
button.column-actions-mobile span {
line-height: 1.2;
}
button.choose-columns-mobile {
margin-right: 0.5rem;
}
}
svg.dropdown-menu-icon {
@ -1409,15 +870,11 @@ svg.dropdown-menu-icon {
border-bottom: 5px solid #666;
}
.stored-query-edit-sql {
.canned-query-edit-sql {
padding-left: 0.5em;
position: relative;
top: 1px;
}
.save-query {
display: inline-block;
margin-left: 0.45em;
}
.blob-download {
display: block;

View file

@ -1,699 +0,0 @@
class ColumnChooser extends HTMLElement {
constructor() {
super();
this.attachShadow({ mode: "open" });
// State
this._items = [];
this._checked = new Set();
this._savedItems = null;
this._savedChecked = null;
this._onApply = null;
// Drag state
this._ghost = null;
this._dragSrcIdx = null;
this._dropTargetIdx = null;
this._dropPosition = null;
this._ghostOffX = 0;
this._ghostOffY = 0;
this._autoScrollRAF = null;
this._lastPointerY = 0;
this._lastPointerX = 0;
this._SCROLL_ZONE = 72;
this._SCROLL_SPEED = 0.4;
// Bound handlers
this._onMove = this._onMove.bind(this);
this._onUp = this._onUp.bind(this);
this.shadowRoot.innerHTML = `
<style>
:host {
--ink: #0f0f0f;
--paper: #f5f3ef;
--muted: #6b6b6b;
--rule: #e2dfd8;
--accent: #1a56db;
--accent-light: #e8effd;
--card: #ffffff;
}
* { box-sizing: border-box; margin: 0; padding: 0; }
dialog {
border: none;
border-radius: var(--modal-border-radius, 0.75rem);
padding: 0;
margin: auto;
width: 100%;
max-width: 420px;
max-height: min(640px, calc(100vh - 32px));
box-shadow: var(--modal-shadow, 0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04));
animation: slideIn var(--modal-animation-duration, 0.2s) ease-out;
overflow: hidden;
font-family: system-ui, -apple-system, sans-serif;
background: var(--card);
-webkit-user-select: none;
-webkit-touch-callout: none;
-webkit-tap-highlight-color: transparent;
}
dialog[open] {
display: flex;
flex-direction: column;
height: min(640px, calc(100vh - 32px));
}
dialog::backdrop {
background: var(--modal-backdrop-bg, rgba(0, 0, 0, 0.5));
backdrop-filter: var(--modal-backdrop-blur, blur(4px));
-webkit-backdrop-filter: var(--modal-backdrop-blur, blur(4px));
animation: fadeIn var(--modal-animation-duration, 0.2s) ease-out;
}
@keyframes slideIn {
from {
opacity: 0;
transform: translateY(-20px) scale(0.95);
}
to {
opacity: 1;
transform: translateY(0) scale(1);
}
}
@keyframes fadeIn {
from { opacity: 0; }
to { opacity: 1; }
}
.modal-header {
padding: 20px 24px 16px;
border-bottom: 1px solid var(--rule);
display: flex;
align-items: center;
justify-content: space-between;
flex-shrink: 0;
}
.modal-title {
font-size: 1rem;
font-weight: 600;
}
.modal-meta {
font-family: ui-monospace, monospace;
font-size: 0.7rem;
color: var(--muted);
background: var(--paper);
padding: 3px 9px;
border-radius: 20px;
}
.list-toolbar {
padding: 6px 24px;
border-bottom: 1px solid var(--rule);
display: flex;
gap: 12px;
flex-shrink: 0;
}
.list-toolbar button {
background: var(--accent-light);
border: 1px solid var(--rule);
border-radius: 4px;
font-family: inherit;
font-size: 0.75rem;
color: var(--accent);
cursor: pointer;
padding: 3px 10px;
transition: background 0.12s, color 0.12s;
}
.list-toolbar button:hover { background: var(--accent); color: white; }
.list-wrap {
flex: 1;
overflow-y: auto;
overflow-x: hidden;
position: relative;
overscroll-behavior: contain;
-webkit-overflow-scrolling: touch;
}
.list-wrap::before,
.list-wrap::after {
content: '';
position: sticky;
display: block;
left: 0; right: 0;
height: 20px;
pointer-events: none;
z-index: 5;
transition: opacity 0.2s;
}
.list-wrap::before {
top: 0;
background: linear-gradient(to bottom, rgba(255,255,255,0.9), transparent);
}
.list-wrap::after {
bottom: 0;
background: linear-gradient(to top, rgba(255,255,255,0.9), transparent);
margin-top: -20px;
}
.scroll-zone {
position: absolute;
left: 0; right: 0;
height: 72px;
pointer-events: none;
z-index: 10;
}
.scroll-zone-top { top: 0; }
.scroll-zone-bot { bottom: 0; }
.drag-list {
list-style: none;
padding: 4px 0;
}
.drag-item {
display: flex;
align-items: center;
background: white;
border-bottom: 1px solid var(--rule);
user-select: none;
-webkit-user-select: none;
-webkit-touch-callout: none;
position: relative;
transition: background 0.08s;
}
.drag-item:last-child { border-bottom: none; }
.drag-handle {
display: flex;
align-items: center;
justify-content: center;
width: 48px;
height: 48px;
flex-shrink: 0;
cursor: grab;
color: #c8c4bc;
touch-action: none;
transition: color 0.15s;
}
.drag-handle:hover { color: var(--accent); }
.drag-handle svg { pointer-events: none; display: block; }
.drag-item-content {
display: flex;
align-items: center;
flex: 1;
min-width: 0;
cursor: pointer;
}
.drag-item-check {
display: flex;
align-items: center;
width: 32px;
height: 48px;
flex-shrink: 0;
}
.drag-item-check input[type="checkbox"] {
width: 16px;
height: 16px;
accent-color: var(--accent);
cursor: pointer;
}
.drag-item-label {
flex: 1;
font-size: 0.9rem;
line-height: 48px;
padding-right: 16px;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
cursor: default;
}
.drag-item.is-dragging {
opacity: 0;
}
.drop-indicator {
position: absolute;
left: 48px;
right: 0;
height: 2px;
background: var(--accent);
border-radius: 99px;
pointer-events: none;
z-index: 20;
display: none;
}
.drop-indicator.top { top: -1px; display: block; }
.drop-indicator.bottom { bottom: -1px; display: block; }
.drag-ghost {
position: fixed;
pointer-events: none;
z-index: 9999;
background: white;
border-radius: 6px;
box-shadow: 0 8px 32px rgba(0,0,0,0.18), 0 2px 8px rgba(0,0,0,0.1);
display: flex;
align-items: center;
border: 1.5px solid var(--accent-light);
opacity: 0.97;
will-change: transform;
font-family: system-ui, -apple-system, sans-serif;
}
.scroll-pulse {
position: absolute;
left: 50%;
transform: translateX(-50%);
width: 32px;
height: 32px;
border-radius: 50%;
background: var(--accent);
opacity: 0;
pointer-events: none;
z-index: 10;
transition: opacity 0.15s;
}
.scroll-pulse.top { top: 8px; }
.scroll-pulse.bot { bottom: 8px; }
.scroll-pulse.active {
opacity: 0.18;
animation: pulse 0.8s ease-in-out infinite;
}
@keyframes pulse {
0%, 100% { transform: translateX(-50%) scale(1); opacity: 0.18; }
50% { transform: translateX(-50%) scale(1.5); opacity: 0.07; }
}
.modal-footer {
padding: 14px 20px;
border-top: 1px solid var(--rule);
display: flex;
align-items: center;
gap: 10px;
flex-shrink: 0;
background: var(--paper);
}
.footer-info {
flex: 1;
font-family: ui-monospace, monospace;
font-size: 0.68rem;
color: var(--muted);
}
.btn {
border: none;
border-radius: 5px;
padding: 9px 20px;
font-size: 0.85rem;
font-weight: 500;
cursor: pointer;
touch-action: manipulation;
font-family: inherit;
transition: background 0.12s;
}
.btn-primary {
background: var(--accent);
color: white;
}
.btn-primary:hover { background: #1448c0; }
.btn-ghost {
background: transparent;
color: var(--muted);
border: 1px solid var(--rule);
}
.btn-ghost:hover { background: var(--rule); color: var(--ink); }
.list-wrap::-webkit-scrollbar { width: 5px; }
.list-wrap::-webkit-scrollbar-track { background: transparent; }
.list-wrap::-webkit-scrollbar-thumb { background: var(--rule); border-radius: 99px; }
input, textarea { -webkit-user-select: auto; user-select: auto; }
</style>
<dialog aria-labelledby="modalTitle">
<div class="modal-header">
<span class="modal-title" id="modalTitle">Choose columns</span>
<span class="modal-meta" id="selectedCount"></span>
</div>
<div class="list-toolbar">
<button id="selectAllBtn">Select all</button>
<button id="deselectAllBtn">Deselect all</button>
</div>
<div class="list-wrap" id="listWrap">
<div class="scroll-pulse top" id="pulseTop"></div>
<div class="scroll-pulse bot" id="pulseBot"></div>
<ul class="drag-list" id="dragList"></ul>
</div>
<div class="modal-footer">
<span class="footer-info" id="footerInfo"></span>
<button class="btn btn-ghost" id="cancelBtn">Cancel</button>
<button class="btn btn-primary" id="applyBtn">Apply</button>
</div>
</dialog>
`;
// DOM refs
this._dialog = this.shadowRoot.querySelector("dialog");
this._listWrap = this.shadowRoot.getElementById("listWrap");
this._dragList = this.shadowRoot.getElementById("dragList");
this._pulseTop = this.shadowRoot.getElementById("pulseTop");
this._pulseBot = this.shadowRoot.getElementById("pulseBot");
this._selectAllBtn = this.shadowRoot.getElementById("selectAllBtn");
this._deselectAllBtn = this.shadowRoot.getElementById("deselectAllBtn");
this._cancelBtn = this.shadowRoot.getElementById("cancelBtn");
this._applyBtn = this.shadowRoot.getElementById("applyBtn");
this._countEl = this.shadowRoot.getElementById("selectedCount");
this._footerEl = this.shadowRoot.getElementById("footerInfo");
// Event listeners
this._selectAllBtn.addEventListener("click", () => this._selectAll());
this._deselectAllBtn.addEventListener("click", () => this._deselectAll());
this._cancelBtn.addEventListener("click", () => this._close());
this._applyBtn.addEventListener("click", () => this._apply());
this._dialog.addEventListener("click", (e) => {
if (e.target === this._dialog) this._close();
});
this._dialog.addEventListener("cancel", (e) => {
e.preventDefault();
this._close();
});
}
/**
* Open the column chooser dialog.
* @param {Object} opts
* @param {string[]} opts.columns - All available column names, in display order.
* @param {string[]} opts.selected - Column names that should be pre-checked.
* @param {function(string[]): void} opts.onApply - Called with the selected columns in order when Apply is clicked.
*/
open({ columns, selected = [], onApply }) {
this._items = [...columns];
this._checked = new Set(selected);
this._onApply = onApply || null;
// Save state for cancel/restore
this._savedItems = [...this._items];
this._savedChecked = new Set(this._checked);
this._render();
this._dialog.showModal();
}
// ── Internal methods ──
_close() {
this._items = this._savedItems ? [...this._savedItems] : this._items;
this._checked = this._savedChecked
? new Set(this._savedChecked)
: this._checked;
this._dialog.close();
}
_selectAll() {
this._items.forEach((col) => this._checked.add(col));
this._dragList.querySelectorAll('input[type="checkbox"]').forEach((cb) => {
cb.checked = true;
});
this._updateCounts();
}
_deselectAll() {
this._checked.clear();
this._dragList.querySelectorAll('input[type="checkbox"]').forEach((cb) => {
cb.checked = false;
});
this._updateCounts();
}
_apply() {
const selected = this._items.filter((col) => this._checked.has(col));
this._dialog.close();
if (this._onApply) {
this._onApply(selected);
}
}
_render() {
this._dragList.innerHTML = "";
this._items.forEach((col, i) => {
const li = document.createElement("li");
li.className = "drag-item";
li.dataset.idx = i;
li.innerHTML = `
<span class="drag-handle" aria-label="Drag to reorder">
<svg width="12" height="18" viewBox="0 0 12 18" fill="currentColor">
<circle cx="3.5" cy="3.5" r="1.8"/>
<circle cx="8.5" cy="3.5" r="1.8"/>
<circle cx="3.5" cy="9" r="1.8"/>
<circle cx="8.5" cy="9" r="1.8"/>
<circle cx="3.5" cy="14.5" r="1.8"/>
<circle cx="8.5" cy="14.5" r="1.8"/>
</svg>
</span>
<label class="drag-item-content">
<span class="drag-item-check">
<input type="checkbox" ${this._checked.has(col) ? "checked" : ""}>
</span>
<span class="drag-item-label">${col}</span>
</label>
<div class="drop-indicator"></div>
`;
li.querySelector("input").addEventListener("change", (e) => {
e.target.checked ? this._checked.add(col) : this._checked.delete(col);
this._updateCounts();
});
li.querySelector(".drag-handle").addEventListener("pointerdown", (e) =>
this._startDrag(e, i),
);
this._dragList.appendChild(li);
});
this._updateCounts();
}
_updateCounts() {
const n = this._checked.size;
this._countEl.textContent = `${n} of ${this._items.length} selected`;
this._footerEl.textContent = `${this._items.length} columns`;
}
// ── Drag engine ──
_startDrag(e, idx) {
e.preventDefault();
this._dragSrcIdx = idx;
const srcEl = this._dragList.children[idx];
const rect = srcEl.getBoundingClientRect();
this._ghostOffX = e.clientX - rect.left;
this._ghostOffY = e.clientY - rect.top;
// Build ghost inside shadow DOM
this._ghost = document.createElement("div");
this._ghost.className = "drag-ghost";
this._ghost.style.width = rect.width + "px";
this._ghost.style.height = rect.height + "px";
this._ghost.innerHTML = srcEl.innerHTML;
this._ghost.querySelector(".drop-indicator")?.remove();
const h = this._ghost.querySelector(".drag-handle");
if (h) h.style.color = "var(--accent)";
this.shadowRoot.appendChild(this._ghost);
srcEl.classList.add("is-dragging");
this._positionGhost(e.clientX, e.clientY);
document.addEventListener("pointermove", this._onMove);
document.addEventListener("pointerup", this._onUp);
document.addEventListener("pointercancel", this._onUp);
}
_positionGhost(cx, cy) {
this._ghost.style.left = cx - this._ghostOffX + "px";
this._ghost.style.top = cy - this._ghostOffY + "px";
}
_onMove(e) {
this._lastPointerX = e.clientX;
this._lastPointerY = e.clientY;
this._positionGhost(e.clientX, e.clientY);
this._updateDropTarget(e.clientY);
this._updateAutoScroll(e.clientY);
}
_onUp() {
document.removeEventListener("pointermove", this._onMove);
document.removeEventListener("pointerup", this._onUp);
document.removeEventListener("pointercancel", this._onUp);
this._stopAutoScroll();
const noMove =
this._dropTargetIdx === null || this._dropTargetIdx === this._dragSrcIdx;
this._clearDropIndicators();
let dest = null;
if (!noMove) {
const moved = this._items.splice(this._dragSrcIdx, 1)[0];
dest = this._dropTargetIdx;
if (this._dropPosition === "after") dest++;
if (dest > this._dragSrcIdx) dest--;
this._items.splice(dest, 0, moved);
}
this._dragSrcIdx = null;
this._dropTargetIdx = null;
this._dropPosition = null;
const g = this._ghost;
this._ghost = null;
if (noMove) {
if (g) g.remove();
this._render();
return;
}
this._render();
if (g && dest !== null) {
const landedEl = this._dragList.children[dest];
if (landedEl) {
landedEl.style.opacity = "0";
const r = landedEl.getBoundingClientRect();
g.getBoundingClientRect();
g.style.transition =
"left 0.15s cubic-bezier(0.22, 1, 0.36, 1), top 0.15s cubic-bezier(0.22, 1, 0.36, 1), box-shadow 0.15s, opacity 0.1s 0.1s";
g.style.left = r.left + "px";
g.style.top = r.top + "px";
g.style.boxShadow = "0 1px 4px rgba(0,0,0,0.08)";
g.style.opacity = "0";
setTimeout(() => {
g.remove();
if (landedEl) landedEl.style.opacity = "";
}, 160);
} else {
g.remove();
}
} else if (g) {
g.remove();
}
}
_updateDropTarget(clientY) {
this._clearDropIndicators();
const listItems = [
...this._dragList.querySelectorAll(".drag-item:not(.is-dragging)"),
];
if (!listItems.length) return;
let best = null,
bestDist = Infinity;
listItems.forEach((li) => {
const r = li.getBoundingClientRect();
const mid = r.top + r.height / 2;
const dist = Math.abs(clientY - mid);
if (dist < bestDist) {
bestDist = dist;
best = li;
}
});
if (!best) return;
const r = best.getBoundingClientRect();
const mid = r.top + r.height / 2;
const above = clientY < mid;
const indic = best.querySelector(".drop-indicator");
this._dropTargetIdx = parseInt(best.dataset.idx);
this._dropPosition = above ? "before" : "after";
if (indic) {
indic.className = "drop-indicator " + (above ? "top" : "bottom");
}
}
_clearDropIndicators() {
this._dragList.querySelectorAll(".drop-indicator").forEach((el) => {
el.className = "drop-indicator";
});
}
_updateAutoScroll(clientY) {
const rect = this._listWrap.getBoundingClientRect();
const relY = clientY - rect.top;
const distTop = relY;
const distBot = rect.height - relY;
const inTop = distTop < this._SCROLL_ZONE && distTop >= 0;
const inBot = distBot < this._SCROLL_ZONE && distBot >= 0;
this._pulseTop.classList.toggle("active", inTop);
this._pulseBot.classList.toggle("active", inBot);
if ((inTop || inBot) && !this._autoScrollRAF) {
let lastTime = null;
const loop = (ts) => {
if (!this._ghost) {
this._stopAutoScroll();
return;
}
if (lastTime !== null) {
const dt = ts - lastTime;
const rect2 = this._listWrap.getBoundingClientRect();
const relY2 = this._lastPointerY - rect2.top;
const dTop = relY2;
const dBot = rect2.height - relY2;
if (dTop < this._SCROLL_ZONE && dTop >= 0) {
const factor = 1 - dTop / this._SCROLL_ZONE;
this._listWrap.scrollTop -= this._SCROLL_SPEED * dt * factor * 2.5;
} else if (dBot < this._SCROLL_ZONE && dBot >= 0) {
const factor = 1 - dBot / this._SCROLL_ZONE;
this._listWrap.scrollTop += this._SCROLL_SPEED * dt * factor * 2.5;
} else {
this._stopAutoScroll();
return;
}
this._updateDropTarget(this._lastPointerY);
}
lastTime = ts;
this._autoScrollRAF = requestAnimationFrame(loop);
};
this._autoScrollRAF = requestAnimationFrame(loop);
}
if (!inTop && !inBot) this._stopAutoScroll();
}
_stopAutoScroll() {
if (this._autoScrollRAF) {
cancelAnimationFrame(this._autoScrollRAF);
this._autoScrollRAF = null;
}
this._pulseTop.classList.remove("active");
this._pulseBot.classList.remove("active");
}
}
customElements.define("column-chooser", ColumnChooser);

View file

@ -82,19 +82,6 @@ const datasetteManager = {
return columnActions;
},
makeJumpSections: (context) => {
let jumpSections = [];
datasetteManager.plugins.forEach((plugin) => {
if (plugin.makeJumpSections) {
const sections = plugin.makeJumpSections(context) || [];
jumpSections.push(...sections);
}
});
return jumpSections;
},
/**
* In MVP, each plugin can only have 1 instance.
* In future, panels could be repeated. We omit that for now since so many plugins depend on
@ -205,6 +192,7 @@ const initializeDatasette = () => {
// DATASETTE_EVENTS.INIT event to avoid the habit of reading from the window.
window.__DATASETTE__ = datasetteManager;
console.debug("Datasette Manager Created!");
const initDatasetteEvent = new CustomEvent(DATASETTE_EVENTS.INIT, {
detail: datasetteManager,

View file

@ -1,318 +0,0 @@
var MOBILE_COLUMN_BREAKPOINT = 576;
var MOBILE_COLUMN_DIALOG_ID = "mobile-column-actions-dialog";
var MOBILE_COLUMN_DIALOG_TITLE_ID = "mobile-column-actions-title";
function mobileColumnHeaders(manager) {
return Array.from(
document.querySelectorAll(manager.selectors.tableHeaders),
).filter((th) => th.dataset.column && th.dataset.isLinkColumn !== "1");
}
function mobileColumnMetaText(th) {
var parts = [];
if (th.dataset.columnType) {
parts.push(th.dataset.columnType);
}
if (th.dataset.isPk === "1") {
parts.push("pk");
}
if (th.dataset.columnNotNull === "1") {
parts.push("not null");
}
return parts.join(", ");
}
function createMobileColumnActionNode(itemConfig, closeDialog) {
var actionNode;
if (itemConfig.href) {
actionNode = document.createElement("a");
actionNode.href = itemConfig.href;
} else {
actionNode = document.createElement("button");
actionNode.type = "button";
}
actionNode.textContent = itemConfig.label;
if (itemConfig.onClick) {
actionNode.addEventListener("click", function (ev) {
try {
itemConfig.onClick.call(actionNode, ev);
} finally {
closeDialog({ restoreFocus: false });
}
});
}
return actionNode;
}
function initMobileColumnActions(manager) {
var triggerButton = document.querySelector(".column-actions-mobile");
if (!triggerButton) {
return;
}
if (
!window.URLSearchParams ||
!window.HTMLDialogElement ||
!manager.columnActions
) {
triggerButton.style.display = "none";
return;
}
if (!mobileColumnHeaders(manager).length) {
triggerButton.style.display = "none";
return;
}
var dialog = document.createElement("dialog");
dialog.className = "mobile-column-actions-dialog";
dialog.id = MOBILE_COLUMN_DIALOG_ID;
dialog.setAttribute("aria-labelledby", MOBILE_COLUMN_DIALOG_TITLE_ID);
dialog.innerHTML = `
<div class="modal-header">
<span class="modal-title" id="${MOBILE_COLUMN_DIALOG_TITLE_ID}">Column actions</span>
<span class="modal-meta"></span>
</div>
<div class="list-wrap mobile-column-list"></div>
<div class="modal-footer">
<span class="footer-info">Tap a column to reveal actions.</span>
<button type="button" class="btn btn-ghost mobile-column-actions-done">Done</button>
</div>
`;
document.body.appendChild(dialog);
triggerButton.setAttribute("aria-haspopup", "dialog");
triggerButton.setAttribute("aria-controls", MOBILE_COLUMN_DIALOG_ID);
triggerButton.setAttribute("aria-expanded", "false");
var countEl = dialog.querySelector(".modal-meta");
var listWrap = dialog.querySelector(".mobile-column-list");
var doneButton = dialog.querySelector(".mobile-column-actions-done");
var expandedSectionId = null;
var shouldRestoreFocus = true;
function updateExpandedSection() {
Array.from(dialog.querySelectorAll(".col-header")).forEach((button) => {
var controlsId = button.getAttribute("aria-controls");
var actionList = dialog.querySelector("#" + controlsId);
var isExpanded = controlsId === expandedSectionId;
button.setAttribute("aria-expanded", isExpanded ? "true" : "false");
actionList.hidden = !isExpanded;
actionList.classList.toggle("expanded", isExpanded);
});
}
function scrollExpandedSectionIntoView(section) {
var sectionTop = section.offsetTop;
var sectionBottom = sectionTop + section.offsetHeight;
var visibleTop = listWrap.scrollTop;
var visibleBottom = visibleTop + listWrap.clientHeight;
var sectionHeight = section.offsetHeight;
if (sectionTop < visibleTop) {
listWrap.scrollTop = sectionTop;
return;
}
if (sectionBottom <= visibleBottom) {
return;
}
if (sectionHeight <= listWrap.clientHeight) {
listWrap.scrollTop = sectionBottom - listWrap.clientHeight;
} else {
listWrap.scrollTop = sectionTop;
}
}
function closeDialog(options) {
options = options || {};
shouldRestoreFocus = options.restoreFocus !== false;
if (dialog.open) {
dialog.close();
} else {
triggerButton.setAttribute("aria-expanded", "false");
if (shouldRestoreFocus) {
triggerButton.focus();
}
}
}
function renderDialog() {
var headers = mobileColumnHeaders(manager);
if (!headers.length) {
closeDialog({ restoreFocus: false });
triggerButton.style.display = "none";
return false;
}
if (
!headers.some(
(_th, index) => `mobile-column-actions-${index}` === expandedSectionId,
)
) {
expandedSectionId = null;
}
countEl.textContent = `${headers.length} column${
headers.length === 1 ? "" : "s"
}`;
listWrap.innerHTML = "";
if (manager.columnActions.shouldShowShowAllColumns()) {
var topActions = document.createElement("div");
topActions.className = "mobile-column-top-actions";
var showAllColumns = document.createElement("a");
showAllColumns.className = "btn btn-ghost mobile-column-top-action";
showAllColumns.href = manager.columnActions.showAllColumnsUrl();
showAllColumns.textContent = "Show all columns";
topActions.appendChild(showAllColumns);
listWrap.appendChild(topActions);
}
headers.forEach((th, index) => {
var sectionId = `mobile-column-actions-${index}`;
var actionState = manager.columnActions.buildColumnActionState(th, {
includeChooseColumns: false,
includeShowAllColumns: false,
});
var section = document.createElement("section");
section.className = "mobile-column-section";
var headerButton = document.createElement("button");
headerButton.type = "button";
headerButton.className = "col-header";
headerButton.setAttribute("aria-controls", sectionId);
headerButton.setAttribute("aria-expanded", "false");
var headerText = document.createElement("span");
headerText.className = "mobile-column-header-text";
var name = document.createElement("span");
name.className = "mobile-column-name";
name.textContent = th.dataset.column;
headerText.appendChild(name);
var metaText = mobileColumnMetaText(th);
if (metaText) {
var meta = document.createElement("span");
meta.className = "mobile-column-meta";
meta.textContent = metaText;
headerText.appendChild(meta);
}
var chevron = document.createElement("span");
chevron.className = "mobile-column-chevron";
chevron.setAttribute("aria-hidden", "true");
chevron.textContent = "▾";
headerButton.appendChild(headerText);
headerButton.appendChild(chevron);
headerButton.addEventListener("click", function () {
expandedSectionId = expandedSectionId === sectionId ? null : sectionId;
updateExpandedSection();
if (expandedSectionId === sectionId) {
scrollExpandedSectionIntoView(section);
}
});
var actionContainer = document.createElement("div");
actionContainer.id = sectionId;
actionContainer.className = "col-actions";
actionContainer.hidden = true;
if (actionState.columnDescription) {
var description = document.createElement("p");
description.className = "mobile-column-description";
description.textContent = actionState.columnDescription;
actionContainer.appendChild(description);
}
if (actionState.actionItems.length) {
var actionList = document.createElement("ul");
actionState.actionItems.forEach((itemConfig) => {
var actionItem = document.createElement("li");
actionItem.appendChild(
createMobileColumnActionNode(itemConfig, closeDialog),
);
actionList.appendChild(actionItem);
});
actionContainer.appendChild(actionList);
} else {
var noActions = document.createElement("p");
noActions.className = "mobile-column-no-actions";
noActions.textContent = "No actions available";
actionContainer.appendChild(noActions);
}
section.appendChild(headerButton);
section.appendChild(actionContainer);
listWrap.appendChild(section);
});
updateExpandedSection();
return true;
}
function openDialog() {
if (window.innerWidth > MOBILE_COLUMN_BREAKPOINT) {
return;
}
if (!renderDialog()) {
return;
}
if (!dialog.open) {
dialog.showModal();
}
triggerButton.setAttribute("aria-expanded", "true");
var focusTarget =
dialog.querySelector(".mobile-column-top-action") ||
dialog.querySelector(".col-header") ||
doneButton;
focusTarget.focus();
}
triggerButton.addEventListener("click", function () {
if (dialog.open) {
closeDialog();
} else {
openDialog();
}
});
doneButton.addEventListener("click", function () {
closeDialog();
});
dialog.addEventListener("click", function (ev) {
if (ev.target === dialog) {
closeDialog();
}
});
dialog.addEventListener("cancel", function (ev) {
ev.preventDefault();
closeDialog();
});
dialog.addEventListener("close", function () {
triggerButton.setAttribute("aria-expanded", "false");
if (shouldRestoreFocus) {
triggerButton.focus();
}
});
window.addEventListener("resize", function () {
if (window.innerWidth > MOBILE_COLUMN_BREAKPOINT && dialog.open) {
closeDialog({ restoreFocus: false });
}
});
}
document.addEventListener("datasette_init", function (evt) {
initMobileColumnActions(evt.detail);
});

View file

@ -1,22 +1,10 @@
let navigationSearchInstanceCounter = 0;
class NavigationSearch extends HTMLElement {
constructor() {
super();
this.instanceId = ++navigationSearchInstanceCounter;
this.inputId = `navigation-search-input-${this.instanceId}`;
this.instructionsId = `navigation-search-instructions-${this.instanceId}`;
this.listboxId = `navigation-search-results-${this.instanceId}`;
this.recentHeadingId = `navigation-search-recent-${this.instanceId}`;
this.statusId = `navigation-search-status-${this.instanceId}`;
this.titleId = `navigation-search-title-${this.instanceId}`;
this.attachShadow({ mode: "open" });
this.selectedIndex = -1;
this.matches = [];
this.renderedMatches = [];
this.debounceTimer = null;
this.restoreFocusTarget = null;
this.shouldRestoreFocus = true;
this.render();
this.setupEventListeners();
@ -31,20 +19,19 @@ class NavigationSearch extends HTMLElement {
dialog {
border: none;
border-radius: var(--modal-border-radius, 0.75rem);
border-radius: 0.75rem;
padding: 0;
max-width: 90vw;
width: 600px;
max-height: 80vh;
box-shadow: var(--modal-shadow, 0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04));
animation: slideIn var(--modal-animation-duration, 0.2s) ease-out;
box-shadow: 0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04);
animation: slideIn 0.2s ease-out;
}
dialog::backdrop {
background: var(--modal-backdrop-bg, rgba(0, 0, 0, 0.5));
backdrop-filter: var(--modal-backdrop-blur, blur(4px));
-webkit-backdrop-filter: var(--modal-backdrop-blur, blur(4px));
animation: fadeIn var(--modal-animation-duration, 0.2s) ease-out;
background: rgba(0, 0, 0, 0.5);
backdrop-filter: blur(4px);
animation: fadeIn 0.2s ease-out;
}
@keyframes slideIn {
@ -66,20 +53,16 @@ class NavigationSearch extends HTMLElement {
.search-container {
display: flex;
flex-direction: column;
height: 100%;
}
.search-input-wrapper {
padding: 1.25rem;
border-bottom: 1px solid #e5e7eb;
display: flex;
gap: 0.5rem;
align-items: center;
}
.search-input {
width: 100%;
flex: 1;
min-width: 0;
padding: 0.75rem 1rem;
font-size: 1rem;
border: 2px solid #e5e7eb;
@ -93,36 +76,12 @@ class NavigationSearch extends HTMLElement {
border-color: #2563eb;
}
.close-search {
background: transparent;
border: 1px solid transparent;
border-radius: 0.375rem;
color: #4b5563;
cursor: pointer;
flex: 0 0 auto;
font: inherit;
font-size: 1.5rem;
height: 2.75rem;
line-height: 1;
width: 2.75rem;
}
.close-search:hover,
.close-search:focus {
background-color: #f3f4f6;
border-color: #d1d5db;
}
.results-container {
overflow-y: auto;
height: calc(80vh - 180px);
padding: 0.5rem;
}
.results-list:empty {
display: none;
}
.result-item {
padding: 0.875rem 1rem;
cursor: pointer;
@ -141,81 +100,16 @@ class NavigationSearch extends HTMLElement {
background-color: #dbeafe;
}
.result-item > div {
flex: 1;
min-width: 0;
}
.jump-start-content {
border-bottom: 1px solid #e5e7eb;
margin-bottom: 0.5rem;
padding: 0.5rem 0.5rem 1rem;
}
.jump-start-content:empty {
display: none;
}
.result-name {
font-weight: 500;
color: #111827;
}
.result-label {
font-size: 0.875rem;
color: #4b5563;
}
.result-type {
color: #4b5563;
font-size: 0.75rem;
font-weight: 600;
text-transform: uppercase;
}
.result-url {
font-size: 0.875rem;
color: #6b7280;
}
.result-description {
color: #374151;
display: -webkit-box;
font-size: 0.8125rem;
line-height: 1.35;
margin-top: 0.35rem;
overflow: hidden;
-webkit-box-orient: vertical;
-webkit-line-clamp: 2;
}
.results-heading {
color: #4b5563;
font-size: 0.75rem;
font-weight: 600;
letter-spacing: 0;
padding: 0.5rem 1rem 0.25rem;
text-transform: uppercase;
}
.recent-actions {
padding: 0.25rem 1rem 0.75rem;
}
.clear-recent {
background: transparent;
border: 0;
color: #2563eb;
cursor: pointer;
font: inherit;
font-size: 0.875rem;
padding: 0;
}
.clear-recent:hover {
text-decoration: underline;
}
.no-results {
padding: 2rem;
text-align: center;
@ -241,18 +135,6 @@ class NavigationSearch extends HTMLElement {
font-family: monospace;
}
.visually-hidden {
border: 0;
clip: rect(0 0 0 0);
height: 1px;
margin: -1px;
overflow: hidden;
padding: 0;
position: absolute;
white-space: nowrap;
width: 1px;
}
/* Mobile optimizations */
@media (max-width: 640px) {
dialog {
@ -280,29 +162,19 @@ class NavigationSearch extends HTMLElement {
}
</style>
<dialog aria-modal="true" aria-labelledby="${this.titleId}">
<dialog>
<div class="search-container">
<h2 id="${this.titleId}" class="visually-hidden">Jump to</h2>
<p id="${this.instructionsId}" class="visually-hidden">Type to search. Use up and down arrow keys to move through results, Enter to select a result, and Escape to close this menu.</p>
<div id="${this.statusId}" class="visually-hidden" aria-live="polite" aria-atomic="true"></div>
<div class="search-input-wrapper">
<input
id="${this.inputId}"
type="text"
class="search-input"
placeholder="Jump to..."
aria-label="Jump to"
aria-describedby="${this.instructionsId}"
role="combobox"
aria-autocomplete="list"
aria-controls="${this.listboxId}"
aria-expanded="false"
placeholder="Search..."
aria-label="Search navigation"
autocomplete="off"
spellcheck="false"
>
<button type="button" class="close-search" aria-label="Close jump menu">&times;</button>
</div>
<div class="results-container"></div>
<div class="results-container" role="listbox"></div>
<div class="hint-text">
<span><kbd></kbd> <kbd></kbd> Navigate</span>
<span><kbd>Enter</kbd> Select</span>
@ -316,7 +188,6 @@ class NavigationSearch extends HTMLElement {
setupEventListeners() {
const dialog = this.shadowRoot.querySelector("dialog");
const input = this.shadowRoot.querySelector(".search-input");
const closeButton = this.shadowRoot.querySelector(".close-search");
const resultsContainer =
this.shadowRoot.querySelector(".results-container");
@ -328,17 +199,6 @@ class NavigationSearch extends HTMLElement {
}
});
document.addEventListener("click", (e) => {
const trigger = e.target.closest("[data-navigation-search-open]");
if (trigger) {
e.preventDefault();
const details = trigger.closest("details");
const restoreTarget = details?.querySelector("summary") || trigger;
details?.removeAttribute("open");
this.openMenu(restoreTarget);
}
});
// Input event
input.addEventListener("input", (e) => {
this.handleSearch(e.target.value);
@ -360,19 +220,8 @@ class NavigationSearch extends HTMLElement {
}
});
closeButton.addEventListener("click", () => {
this.closeMenu();
});
// Click on result item
resultsContainer.addEventListener("click", (e) => {
const clearRecent = e.target.closest("[data-clear-recent-items]");
if (clearRecent) {
e.preventDefault();
this.clearRecentItems();
return;
}
const item = e.target.closest(".result-item");
if (item) {
const index = parseInt(item.dataset.index);
@ -387,15 +236,6 @@ class NavigationSearch extends HTMLElement {
}
});
dialog.addEventListener("cancel", (e) => {
e.preventDefault();
this.closeMenu();
});
dialog.addEventListener("close", () => {
this.onMenuClosed();
});
// Initial load
this.loadInitialData();
}
@ -410,106 +250,6 @@ class NavigationSearch extends HTMLElement {
);
}
setElementAttribute(element, name, value) {
if (!element) {
return;
}
if (typeof element.setAttribute === "function") {
element.setAttribute(name, value);
} else {
element[name] = String(value);
}
}
removeElementAttribute(element, name) {
if (!element) {
return;
}
if (typeof element.removeAttribute === "function") {
element.removeAttribute(name);
} else {
delete element[name];
}
}
focusRestoreTarget(trigger) {
if (trigger && typeof trigger.focus === "function") {
return trigger;
}
if (
document.activeElement &&
typeof document.activeElement.focus === "function"
) {
return document.activeElement;
}
return null;
}
setNavigationTriggersExpanded(expanded) {
if (typeof document.querySelectorAll !== "function") {
return;
}
document
.querySelectorAll("[data-navigation-search-open]")
.forEach((trigger) => {
this.setElementAttribute(
trigger,
"aria-expanded",
expanded ? "true" : "false",
);
});
}
resultOptionId(index) {
return `${this.listboxId}-option-${index}`;
}
updateComboboxState() {
const dialog = this.shadowRoot.querySelector("dialog");
const input = this.shadowRoot.querySelector(".search-input");
const matches = this.renderedMatches || [];
this.setElementAttribute(
input,
"aria-expanded",
dialog && dialog.open && matches.length > 0 ? "true" : "false",
);
if (
dialog &&
dialog.open &&
this.selectedIndex >= 0 &&
this.selectedIndex < matches.length
) {
this.setElementAttribute(
input,
"aria-activedescendant",
this.resultOptionId(this.selectedIndex),
);
} else {
this.removeElementAttribute(input, "aria-activedescendant");
}
}
setStatus(message) {
const status = this.shadowRoot.querySelector(`#${this.statusId}`);
if (status) {
status.textContent = message || "";
}
}
resultsStatus(count, truncated) {
if (truncated) {
return "More than 100 results. Keep typing to narrow the list.";
}
if (count === 0) {
return "No results found.";
}
if (count === 1) {
return "1 result.";
}
return `${count} results.`;
}
loadInitialData() {
const itemsAttr = this.getAttribute("items");
if (itemsAttr) {
@ -526,11 +266,6 @@ class NavigationSearch extends HTMLElement {
handleSearch(query) {
clearTimeout(this.debounceTimer);
if (query.trim()) {
this.setStatus("Searching...");
} else {
this.setStatus("");
}
this.debounceTimer = setTimeout(() => {
const url = this.getAttribute("url");
@ -553,262 +288,65 @@ class NavigationSearch extends HTMLElement {
this.matches = data.matches || [];
this.selectedIndex = this.matches.length > 0 ? 0 : -1;
this.renderResults();
if (query.trim()) {
this.setStatus(this.resultsStatus(this.matches.length, data.truncated));
} else {
this.setStatus("");
}
} catch (e) {
console.error("Failed to fetch search results:", e);
this.matches = [];
this.renderResults();
this.setStatus("Search failed.");
}
}
filterLocalItems(query) {
if (!query.trim()) {
this.matches = this.allItems || [];
this.matches = [];
} else {
const lowerQuery = query.toLowerCase();
this.matches = (this.allItems || []).filter(
(item) =>
item.name.toLowerCase().includes(lowerQuery) ||
(item.display_name || "").toLowerCase().includes(lowerQuery) ||
item.url.toLowerCase().includes(lowerQuery),
);
}
this.selectedIndex = this.matches.length > 0 ? 0 : -1;
this.renderResults();
if (query.trim()) {
this.setStatus(this.resultsStatus(this.matches.length, false));
} else {
this.setStatus("");
}
}
recentItemsStorageKey() {
return "datasette.navigationSearch.recentItems";
}
loadRecentItems() {
if (typeof localStorage === "undefined") {
return [];
}
try {
const raw = localStorage.getItem(this.recentItemsStorageKey());
if (!raw) {
return [];
}
const parsed = JSON.parse(raw);
if (!Array.isArray(parsed)) {
return [];
}
return parsed
.filter((item) => item && item.name && item.url)
.map((item) => ({
name: String(item.name),
display_name: item.display_name ? String(item.display_name) : "",
url: String(item.url),
type: item.type ? String(item.type) : "",
description: item.description ? String(item.description) : "",
}))
.slice(0, 5);
} catch (e) {
return [];
}
}
saveRecentItem(match) {
if (
typeof localStorage === "undefined" ||
!match ||
!match.name ||
!match.url
) {
return;
}
try {
const item = {
name: String(match.name),
display_name: match.display_name ? String(match.display_name) : "",
url: String(match.url),
type: match.type ? String(match.type) : "",
description: match.description ? String(match.description) : "",
};
const recentItems = this.loadRecentItems().filter(
(recentItem) => recentItem.url !== item.url,
);
localStorage.setItem(
this.recentItemsStorageKey(),
JSON.stringify([item, ...recentItems].slice(0, 5)),
);
} catch (e) {
// localStorage may be unavailable, full, or disabled.
}
}
clearRecentItems() {
if (typeof localStorage === "undefined") {
return;
}
try {
localStorage.removeItem(this.recentItemsStorageKey());
} catch (e) {
localStorage.setItem(this.recentItemsStorageKey(), "[]");
}
this.renderResults();
this.setStatus("Recent items cleared.");
}
jumpSections() {
const manager = window.__DATASETTE__;
if (!manager || typeof manager.makeJumpSections !== "function") {
return [];
}
const sections = manager.makeJumpSections({
navigationSearch: this,
});
return Array.isArray(sections)
? sections.filter(
(section) => section && typeof section.render === "function",
)
: [];
}
jumpSectionsHtml(jumpSections) {
return jumpSections
.map((section, index) => {
const id = section.id
? ` data-jump-section-id="${this.escapeHtml(section.id)}"`
: "";
return `<div class="jump-start-content" data-jump-section-index="${index}"${id}></div>`;
})
.join("");
}
renderJumpSections(container, jumpSections) {
jumpSections.forEach((section, index) => {
const node = container.querySelector(
`[data-jump-section-index="${index}"]`,
);
if (!node) {
return;
}
section.render(node, {
navigationSearch: this,
container,
input: this.shadowRoot.querySelector(".search-input"),
});
});
}
resultItemHtml(match, index) {
const displayName = match.display_name || match.name;
const label =
match.display_name && match.display_name !== match.name
? `<div class="result-label">${this.escapeHtml(match.name)}</div>`
: "";
const type = match.type
? `<div class="result-type">${this.escapeHtml(match.type)}</div>`
: "";
const description = match.description
? `<div class="result-description">${this.escapeHtml(
match.description,
)}</div>`
: "";
return `
<div
id="${this.resultOptionId(index)}"
class="result-item ${index === this.selectedIndex ? "selected" : ""}"
data-index="${index}"
role="option"
aria-selected="${index === this.selectedIndex}"
>
<div>
${type}
<div class="result-name">${this.escapeHtml(displayName)}</div>
${label}
<div class="result-url">${this.escapeHtml(match.url)}</div>
${description}
</div>
</div>
`;
}
renderResults() {
const container = this.shadowRoot.querySelector(".results-container");
const input = this.shadowRoot.querySelector(".search-input");
const showStartContent = !input.value.trim();
const jumpSections = showStartContent ? this.jumpSections() : [];
const startBlock = showStartContent
? this.jumpSectionsHtml(jumpSections)
: "";
const recentItems = showStartContent ? this.loadRecentItems() : [];
const defaultMatches = showStartContent ? [] : this.matches;
const renderedMatches = [...recentItems, ...defaultMatches];
this.renderedMatches = renderedMatches;
const emptyListbox = `<div id="${this.listboxId}" class="results-list" role="listbox" aria-label="Jump results"></div>`;
if (renderedMatches.length) {
if (
this.selectedIndex < 0 ||
this.selectedIndex >= renderedMatches.length
) {
this.selectedIndex = 0;
}
} else {
this.selectedIndex = -1;
}
if (renderedMatches.length === 0) {
if (startBlock) {
container.innerHTML = startBlock + emptyListbox;
this.renderJumpSections(container, jumpSections);
} else if (showStartContent) {
container.innerHTML = emptyListbox;
} else {
const message = input.value.trim()
? "No results found"
: "Start typing to search...";
container.innerHTML = `${emptyListbox}<div class="no-results">${message}</div>`;
}
this.updateComboboxState();
if (this.matches.length === 0) {
const message = input.value.trim()
? "No results found"
: "Start typing to search...";
container.innerHTML = `<div class="no-results">${message}</div>`;
return;
}
const recentHeading = recentItems.length
? `<div class="results-heading" id="${this.recentHeadingId}">Recent</div>`
: "";
const recentGroup = recentItems.length
? `<div role="group" aria-labelledby="${this.recentHeadingId}">${recentItems
.map((match, index) => this.resultItemHtml(match, index))
.join("")}</div>`
: "";
const recentActions = recentItems.length
? `<div class="recent-actions"><button type="button" class="clear-recent" data-clear-recent-items>Clear recent</button></div>`
: "";
const defaultHtml = defaultMatches
.map((match, index) =>
this.resultItemHtml(match, recentItems.length + index),
container.innerHTML = this.matches
.map(
(match, index) => `
<div
class="result-item ${
index === this.selectedIndex ? "selected" : ""
}"
data-index="${index}"
role="option"
aria-selected="${index === this.selectedIndex}"
>
<div>
<div class="result-name">${this.escapeHtml(
match.name,
)}</div>
<div class="result-url">${this.escapeHtml(match.url)}</div>
</div>
</div>
`,
)
.join("");
container.innerHTML =
startBlock +
recentHeading +
`<div id="${this.listboxId}" class="results-list" role="listbox" aria-label="Jump results">${recentGroup}${defaultHtml}</div>` +
recentActions;
this.renderJumpSections(container, jumpSections);
this.updateComboboxState();
// Scroll selected item into view
if (this.selectedIndex >= 0) {
const selectedItem = container.querySelector(
`.result-item[data-index="${this.selectedIndex}"]`,
);
const selectedItem = container.children[this.selectedIndex];
if (selectedItem) {
selectedItem.scrollIntoView({ block: "nearest" });
}
@ -816,27 +354,22 @@ class NavigationSearch extends HTMLElement {
}
moveSelection(direction) {
const matches = this.renderedMatches || this.matches;
const newIndex = this.selectedIndex + direction;
if (newIndex >= 0 && newIndex < matches.length) {
if (newIndex >= 0 && newIndex < this.matches.length) {
this.selectedIndex = newIndex;
this.renderResults();
}
}
selectCurrentItem() {
const matches = this.renderedMatches || this.matches;
if (this.selectedIndex >= 0 && this.selectedIndex < matches.length) {
if (this.selectedIndex >= 0 && this.selectedIndex < this.matches.length) {
this.selectItem(this.selectedIndex);
}
}
selectItem(index) {
const matches = this.renderedMatches || this.matches;
const match = matches[index];
const match = this.matches[index];
if (match) {
this.saveRecentItem(match);
// Dispatch custom event
this.dispatchEvent(
new CustomEvent("select", {
@ -849,59 +382,32 @@ class NavigationSearch extends HTMLElement {
// Navigate to URL
window.location.href = match.url;
this.closeMenu({ restoreFocus: false });
this.closeMenu();
}
}
openMenu(trigger) {
openMenu() {
const dialog = this.shadowRoot.querySelector("dialog");
const input = this.shadowRoot.querySelector(".search-input");
this.restoreFocusTarget = this.focusRestoreTarget(trigger);
this.shouldRestoreFocus = true;
if (!dialog.open) {
dialog.showModal();
}
this.setNavigationTriggersExpanded(true);
dialog.showModal();
input.value = "";
input.focus();
// Reset state, then populate the default jump list.
// Reset state - start with no items shown
this.matches = [];
this.selectedIndex = -1;
this.renderResults();
this.setStatus("");
}
closeMenu(options = {}) {
closeMenu() {
const dialog = this.shadowRoot.querySelector("dialog");
this.shouldRestoreFocus = options.restoreFocus !== false;
if (dialog.open) {
dialog.close();
} else {
this.onMenuClosed();
}
}
onMenuClosed() {
const input = this.shadowRoot.querySelector(".search-input");
this.setElementAttribute(input, "aria-expanded", "false");
this.removeElementAttribute(input, "aria-activedescendant");
this.setNavigationTriggersExpanded(false);
this.setStatus("");
if (
this.shouldRestoreFocus &&
this.restoreFocusTarget &&
typeof this.restoreFocusTarget.focus === "function"
) {
this.restoreFocusTarget.focus();
}
this.restoreFocusTarget = null;
dialog.close();
}
escapeHtml(text) {
const div = document.createElement("div");
div.textContent = text == null ? "" : text;
div.textContent = text;
return div.innerHTML;
}
}

View file

@ -1,6 +1,13 @@
var DROPDOWN_HTML = `<div class="dropdown-menu">
<div class="hook"></div>
<ul class="dropdown-actions"></ul>
<ul>
<li><a class="dropdown-sort-asc" href="#">Sort ascending</a></li>
<li><a class="dropdown-sort-desc" href="#">Sort descending</a></li>
<li><a class="dropdown-facet" href="#">Facet by this</a></li>
<li><a class="dropdown-hide-column" href="#">Hide this column</a></li>
<li><a class="dropdown-show-all-columns" href="#">Show all columns</a></li>
<li><a class="dropdown-not-blank" href="#">Show not-blank rows</a></li>
</ul>
<p class="dropdown-column-type"></p>
<p class="dropdown-column-description"></p>
</div>`;
@ -10,509 +17,54 @@ var DROPDOWN_ICON_SVG = `<svg xmlns="http://www.w3.org/2000/svg" width="14" heig
<path d="M19.4 15a1.65 1.65 0 0 0 .33 1.82l.06.06a2 2 0 0 1 0 2.83 2 2 0 0 1-2.83 0l-.06-.06a1.65 1.65 0 0 0-1.82-.33 1.65 1.65 0 0 0-1 1.51V21a2 2 0 0 1-2 2 2 2 0 0 1-2-2v-.09A1.65 1.65 0 0 0 9 19.4a1.65 1.65 0 0 0-1.82.33l-.06.06a2 2 0 0 1-2.83 0 2 2 0 0 1 0-2.83l.06-.06a1.65 1.65 0 0 0 .33-1.82 1.65 1.65 0 0 0-1.51-1H3a2 2 0 0 1-2-2 2 2 0 0 1 2-2h.09A1.65 1.65 0 0 0 4.6 9a1.65 1.65 0 0 0-.33-1.82l-.06-.06a2 2 0 0 1 0-2.83 2 2 0 0 1 2.83 0l.06.06a1.65 1.65 0 0 0 1.82.33H9a1.65 1.65 0 0 0 1-1.51V3a2 2 0 0 1 2-2 2 2 0 0 1 2 2v.09a1.65 1.65 0 0 0 1 1.51 1.65 1.65 0 0 0 1.82-.33l.06-.06a2 2 0 0 1 2.83 0 2 2 0 0 1 0 2.83l-.06.06a1.65 1.65 0 0 0-.33 1.82V9a1.65 1.65 0 0 0 1.51 1H21a2 2 0 0 1 2 2 2 2 0 0 1-2 2h-.09a1.65 1.65 0 0 0-1.51 1z"></path>
</svg>`;
var SET_COLUMN_TYPE_DIALOG_ID = "set-column-type-dialog";
var setColumnTypeDialogState = null;
function getParams() {
return new URLSearchParams(location.search);
}
function paramsToUrl(params) {
var s = params.toString();
return s ? "?" + s : location.pathname;
}
function sortDescUrl(column) {
var params = getParams();
params.set("_sort_desc", column);
params.delete("_sort");
params.delete("_next");
return paramsToUrl(params);
}
function sortAscUrl(column) {
var params = getParams();
params.set("_sort", column);
params.delete("_sort_desc");
params.delete("_next");
return paramsToUrl(params);
}
function facetUrl(column) {
var params = getParams();
params.append("_facet", column);
return paramsToUrl(params);
}
function hideColumnUrl(column) {
var params = getParams();
params.append("_nocol", column);
return paramsToUrl(params);
}
function showAllColumnsUrl() {
var params = getParams();
params.delete("_nocol");
params.delete("_col");
return paramsToUrl(params);
}
function notBlankUrl(column) {
var params = getParams();
params.set(`${column}__notblank`, "1");
return paramsToUrl(params);
}
function getDisplayedFacets() {
return Array.from(document.querySelectorAll(".facet-info")).map(
(el) => el.dataset.column,
);
}
function getColumnClassName(th) {
return Array.from(th.classList).find((className) =>
className.startsWith("col-"),
);
}
function getColumnCells(th) {
var table = th.closest("table");
var columnClassName = getColumnClassName(th);
if (!table || !columnClassName) {
return [];
}
return Array.from(table.querySelectorAll("td." + columnClassName));
}
function getColumnMeta(th) {
return {
columnName: th.dataset.column,
columnNotNull: th.dataset.columnNotNull === "1",
columnType: th.dataset.columnType,
isPk: th.dataset.isPk === "1",
};
}
function getColumnTypeText(th) {
var columnType = th.dataset.columnType;
if (!columnType) {
return null;
}
var notNull = th.dataset.columnNotNull === "1" ? " NOT NULL" : "";
return `Type: ${columnType.toUpperCase()}${notNull}`;
}
function getSetColumnTypeData() {
return window._setColumnTypeData || null;
}
function getSetColumnTypeConfig(column) {
var data = getSetColumnTypeData();
if (!data || !data.columns) {
return null;
}
return data.columns[column] || null;
}
function canSetColumnType() {
return !!(getSetColumnTypeData() && window.HTMLDialogElement && window.fetch);
}
function setColumnTypeActionLabel(column) {
var columnConfig = getSetColumnTypeConfig(column);
if (!columnConfig) {
return null;
}
return columnConfig.current
? `Custom type: ${columnConfig.current.type}`
: "Set custom type";
}
function createSetColumnTypeOption(value, name, description, checked) {
var label = document.createElement("label");
label.className = "set-column-type-option";
var input = document.createElement("input");
input.type = "radio";
input.name = "set-column-type-choice";
input.value = value;
input.checked = checked;
var content = document.createElement("span");
content.className = "set-column-type-option-content";
var title = document.createElement("span");
title.className = "set-column-type-option-name";
title.textContent = name;
var detail = document.createElement("span");
detail.className = "set-column-type-option-description";
detail.textContent = description;
content.appendChild(title);
content.appendChild(detail);
label.appendChild(input);
label.appendChild(content);
return label;
}
function setSetColumnTypeDialogBusy(state, isBusy) {
state.isBusy = isBusy;
state.saveButton.disabled = isBusy;
state.cancelButton.disabled = isBusy;
Array.from(
state.optionsWrap.querySelectorAll('input[name="set-column-type-choice"]'),
).forEach(function (input) {
input.disabled = isBusy;
});
state.saveButton.textContent = isBusy ? "Saving..." : "Save";
}
function clearSetColumnTypeDialogError(state) {
state.error.hidden = true;
state.error.textContent = "";
}
function showSetColumnTypeDialogError(state, message) {
state.error.hidden = false;
state.error.textContent = message;
}
function ensureSetColumnTypeDialog() {
if (setColumnTypeDialogState) {
return setColumnTypeDialogState;
}
if (!window.HTMLDialogElement) {
return null;
}
var dialog = document.createElement("dialog");
dialog.id = SET_COLUMN_TYPE_DIALOG_ID;
dialog.className = "set-column-type-dialog";
dialog.setAttribute("aria-labelledby", "set-column-type-title");
dialog.innerHTML = `
<div class="modal-header">
<span class="modal-title" id="set-column-type-title">Set custom type</span>
<span class="modal-meta"></span>
</div>
<p class="set-column-type-status"></p>
<p class="set-column-type-error" hidden></p>
<div class="set-column-type-options"></div>
<div class="modal-footer">
<span class="footer-info"></span>
<button type="button" class="btn btn-ghost set-column-type-cancel">Cancel</button>
<button type="button" class="btn btn-primary set-column-type-save">Save</button>
</div>
`;
document.body.appendChild(dialog);
setColumnTypeDialogState = {
dialog: dialog,
meta: dialog.querySelector(".modal-meta"),
status: dialog.querySelector(".set-column-type-status"),
error: dialog.querySelector(".set-column-type-error"),
optionsWrap: dialog.querySelector(".set-column-type-options"),
footerInfo: dialog.querySelector(".footer-info"),
cancelButton: dialog.querySelector(".set-column-type-cancel"),
saveButton: dialog.querySelector(".set-column-type-save"),
currentColumn: null,
currentConfig: null,
isBusy: false,
};
setColumnTypeDialogState.cancelButton.addEventListener("click", function () {
if (!setColumnTypeDialogState.isBusy) {
dialog.close();
}
});
dialog.addEventListener("click", function (ev) {
if (ev.target === dialog && !setColumnTypeDialogState.isBusy) {
dialog.close();
}
});
dialog.addEventListener("cancel", function (ev) {
if (setColumnTypeDialogState.isBusy) {
ev.preventDefault();
}
});
dialog.addEventListener("close", function () {
clearSetColumnTypeDialogError(setColumnTypeDialogState);
setSetColumnTypeDialogBusy(setColumnTypeDialogState, false);
});
setColumnTypeDialogState.saveButton.addEventListener("click", async function () {
var state = setColumnTypeDialogState;
var selected = state.dialog.querySelector(
'input[name="set-column-type-choice"]:checked',
);
var selectedType = selected ? selected.value : "";
var currentType = state.currentConfig.current
? state.currentConfig.current.type
: "";
if (selectedType === currentType) {
state.dialog.close();
return;
}
clearSetColumnTypeDialogError(state);
setSetColumnTypeDialogBusy(state, true);
var payload = {
column: state.currentColumn,
column_type: selectedType ? { type: selectedType } : null,
};
try {
var response = await fetch(getSetColumnTypeData().path, {
method: "POST",
headers: {
"Content-Type": "application/json",
Accept: "application/json",
},
body: JSON.stringify(payload),
});
var data = await response.json();
if (!response.ok || data.ok === false) {
var message = (data.errors || ["Request failed"]).join(" ");
throw new Error(message);
}
location.reload();
} catch (error) {
setSetColumnTypeDialogBusy(state, false);
showSetColumnTypeDialogError(state, error.message || "Request failed");
}
});
return setColumnTypeDialogState;
}
function openSetColumnTypeDialog(th) {
var column = th.dataset.column;
var columnConfig = getSetColumnTypeConfig(column);
if (!columnConfig) {
return;
}
var state = ensureSetColumnTypeDialog();
if (!state) {
return;
}
clearSetColumnTypeDialogError(state);
setSetColumnTypeDialogBusy(state, false);
state.currentColumn = column;
state.currentConfig = columnConfig;
state.status.textContent = `Column: ${column}`;
state.meta.textContent = getColumnTypeText(th) || "Type unavailable";
state.footerInfo.textContent = columnConfig.current
? `Current custom type: ${columnConfig.current.type}`
: "No custom type set.";
state.optionsWrap.innerHTML = "";
var currentType = columnConfig.current ? columnConfig.current.type : "";
state.optionsWrap.appendChild(
createSetColumnTypeOption(
"",
"No custom type",
"Use standard Datasette rendering without a custom type.",
currentType === "",
),
);
columnConfig.options.forEach(function (option) {
state.optionsWrap.appendChild(
createSetColumnTypeOption(
option.name,
option.name,
option.description,
option.name === currentType,
),
);
});
if (!columnConfig.options.length) {
var emptyState = document.createElement("p");
emptyState.className = "set-column-type-empty";
emptyState.textContent =
"No registered custom types are compatible with this SQLite type.";
state.optionsWrap.appendChild(emptyState);
}
if (!state.dialog.open) {
state.dialog.showModal();
}
var selectedOption = state.dialog.querySelector(
'input[name="set-column-type-choice"]:checked',
);
if (selectedOption) {
selectedOption.focus();
} else {
state.saveButton.focus();
}
}
function canChooseColumns() {
return !!(
document.querySelector("column-chooser") && window._columnChooserData
);
}
function shouldShowShowAllColumns() {
var params = getParams();
return params.getAll("_nocol").length || params.getAll("_col").length;
}
function hasMultipleVisibleColumns(manager) {
return (
Array.from(document.querySelectorAll(manager.selectors.tableHeaders)).filter(
(th) => th.dataset.column && th.dataset.isLinkColumn !== "1",
).length > 1
);
}
function buildColumnActionItems(manager, th, options) {
options = options || {};
var params = getParams();
var column = th.dataset.column;
var columnActions = [];
var isSortable = !!th.querySelector("a");
var isFirstColumn = th.parentElement.querySelector("th:first-of-type") === th;
var isSinglePk =
th.dataset.isPk === "1" &&
document.querySelectorAll('th[data-is-pk="1"]').length === 1;
var hasBlankValues = getColumnCells(th).some(
(el) => el.innerText.trim() === "",
);
if (isSortable && params.get("_sort") !== column) {
columnActions.push({
label: "Sort ascending",
href: sortAscUrl(column),
});
}
if (isSortable && params.get("_sort_desc") !== column) {
columnActions.push({
label: "Sort descending",
href: sortDescUrl(column),
});
}
if (
DATASETTE_ALLOW_FACET &&
!isFirstColumn &&
!getDisplayedFacets().includes(column) &&
!isSinglePk
) {
columnActions.push({
label: "Facet by this",
href: facetUrl(column),
});
}
if (options.includeChooseColumns && canChooseColumns()) {
columnActions.push({
label: "Choose columns",
href: "#",
onClick:
options.onChooseColumns ||
function (ev) {
ev.preventDefault();
openColumnChooser();
},
});
}
if (canSetColumnType() && getSetColumnTypeConfig(column)) {
columnActions.push({
label: setColumnTypeActionLabel(column),
href: "#",
onClick:
options.onSetColumnType ||
function (ev) {
ev.preventDefault();
window.setTimeout(function () {
openSetColumnTypeDialog(th);
}, 0);
},
});
}
if (th.dataset.isPk !== "1" && hasMultipleVisibleColumns(manager)) {
columnActions.push({
label: "Hide this column",
href: hideColumnUrl(column),
});
}
if (options.includeShowAllColumns && shouldShowShowAllColumns()) {
columnActions.push({
label: "Show all columns",
href: showAllColumnsUrl(),
});
}
if (params.get(`${column}__notblank`) !== "1" && hasBlankValues) {
columnActions.push({
label: "Show not-blank rows",
href: notBlankUrl(column),
});
}
return columnActions.concat(manager.makeColumnActions(getColumnMeta(th)));
}
function buildColumnActionState(manager, th, options) {
return {
column: th.dataset.column,
columnDescription: th.dataset.columnDescription || null,
columnMeta: getColumnMeta(th),
columnTypeText: getColumnTypeText(th),
actionItems: buildColumnActionItems(manager, th, options),
};
}
function initializeColumnActions(manager) {
manager.columnActions = {
buildColumnActionState: function (th, options) {
return buildColumnActionState(manager, th, options);
},
buildColumnActionItems: function (th, options) {
return buildColumnActionItems(manager, th, options);
},
canChooseColumns: canChooseColumns,
facetUrl: facetUrl,
getColumnMeta: getColumnMeta,
getColumnTypeText: getColumnTypeText,
hideColumnUrl: hideColumnUrl,
notBlankUrl: notBlankUrl,
shouldShowShowAllColumns: shouldShowShowAllColumns,
showAllColumnsUrl: showAllColumnsUrl,
sortAscUrl: sortAscUrl,
sortDescUrl: sortDescUrl,
};
}
function renderActionLink(itemConfig) {
var newLink = document.createElement("a");
newLink.textContent = itemConfig.label;
newLink.href = itemConfig.href || "#";
if (itemConfig.onClick) {
newLink.addEventListener("click", itemConfig.onClick);
}
return newLink;
}
/** Main initialization function for Datasette Table interactions */
const initDatasetteTable = function (manager) {
// Feature detection
if (!window.URLSearchParams) {
return;
}
function getParams() {
return new URLSearchParams(location.search);
}
function paramsToUrl(params) {
var s = params.toString();
return s ? "?" + s : location.pathname;
}
function sortDescUrl(column) {
var params = getParams();
params.set("_sort_desc", column);
params.delete("_sort");
params.delete("_next");
return paramsToUrl(params);
}
function sortAscUrl(column) {
var params = getParams();
params.set("_sort", column);
params.delete("_sort_desc");
params.delete("_next");
return paramsToUrl(params);
}
function facetUrl(column) {
var params = getParams();
params.append("_facet", column);
return paramsToUrl(params);
}
function hideColumnUrl(column) {
var params = getParams();
params.append("_nocol", column);
return paramsToUrl(params);
}
function showAllColumnsUrl() {
var params = getParams();
params.delete("_nocol");
params.delete("_col");
return paramsToUrl(params);
}
function notBlankUrl(column) {
var params = getParams();
params.set(`${column}__notblank`, "1");
return paramsToUrl(params);
}
function closeMenu() {
menu.style.display = "none";
menu.classList.remove("anim-scale-in");
@ -544,41 +96,87 @@ const initDatasetteTable = function (manager) {
var rect = th.getBoundingClientRect();
var menuTop = rect.bottom + window.scrollY;
var menuLeft = rect.left + window.scrollX;
var actionState = manager.columnActions.buildColumnActionState(th, {
includeChooseColumns: true,
includeShowAllColumns: true,
onChooseColumns: function (ev) {
ev.preventDefault();
closeMenu();
openColumnChooser();
},
onSetColumnType: function (ev) {
ev.preventDefault();
closeMenu();
window.setTimeout(function () {
openSetColumnTypeDialog(th);
}, 0);
},
});
var menuList = menu.querySelector("ul.dropdown-actions");
menuList.innerHTML = "";
actionState.actionItems.forEach((itemConfig) => {
var menuItem = document.createElement("li");
menuItem.appendChild(renderActionLink(itemConfig));
menuList.appendChild(menuItem);
});
var column = th.getAttribute("data-column");
var params = getParams();
var sort = menu.querySelector("a.dropdown-sort-asc");
var sortDesc = menu.querySelector("a.dropdown-sort-desc");
var facetItem = menu.querySelector("a.dropdown-facet");
var notBlank = menu.querySelector("a.dropdown-not-blank");
var hideColumn = menu.querySelector("a.dropdown-hide-column");
var showAllColumns = menu.querySelector("a.dropdown-show-all-columns");
if (params.get("_sort") == column) {
sort.parentNode.style.display = "none";
} else {
sort.parentNode.style.display = "block";
sort.setAttribute("href", sortAscUrl(column));
}
if (params.get("_sort_desc") == column) {
sortDesc.parentNode.style.display = "none";
} else {
sortDesc.parentNode.style.display = "block";
sortDesc.setAttribute("href", sortDescUrl(column));
}
/* Show hide columns options */
if (params.get("_nocol") || params.get("_col")) {
showAllColumns.parentNode.style.display = "block";
showAllColumns.setAttribute("href", showAllColumnsUrl());
} else {
showAllColumns.parentNode.style.display = "none";
}
if (th.getAttribute("data-is-pk") != "1") {
hideColumn.parentNode.style.display = "block";
hideColumn.setAttribute("href", hideColumnUrl(column));
} else {
hideColumn.parentNode.style.display = "none";
}
/* Only show "Facet by this" if it's not the first column, not selected,
not a single PK and the Datasette allow_facet setting is True */
var displayedFacets = Array.from(
document.querySelectorAll(".facet-info"),
).map((el) => el.dataset.column);
var isFirstColumn =
th.parentElement.querySelector("th:first-of-type") == th;
var isSinglePk =
th.getAttribute("data-is-pk") == "1" &&
document.querySelectorAll('th[data-is-pk="1"]').length == 1;
if (
!DATASETTE_ALLOW_FACET ||
isFirstColumn ||
displayedFacets.includes(column) ||
isSinglePk
) {
facetItem.parentNode.style.display = "none";
} else {
facetItem.parentNode.style.display = "block";
facetItem.setAttribute("href", facetUrl(column));
}
/* Show notBlank option if not selected AND at least one visible blank value */
var tdsForThisColumn = Array.from(
th.closest("table").querySelectorAll("td." + th.className),
);
if (
params.get(`${column}__notblank`) != "1" &&
tdsForThisColumn.filter((el) => el.innerText.trim() == "").length
) {
notBlank.parentNode.style.display = "block";
notBlank.setAttribute("href", notBlankUrl(column));
} else {
notBlank.parentNode.style.display = "none";
}
var columnTypeP = menu.querySelector(".dropdown-column-type");
if (actionState.columnTypeText) {
var columnType = th.dataset.columnType;
var notNull = th.dataset.columnNotNull == 1 ? " NOT NULL" : "";
if (columnType) {
columnTypeP.style.display = "block";
columnTypeP.innerText = actionState.columnTypeText;
columnTypeP.innerText = `Type: ${columnType.toUpperCase()}${notNull}`;
} else {
columnTypeP.style.display = "none";
}
var columnDescriptionP = menu.querySelector(".dropdown-column-description");
if (actionState.columnDescription) {
columnDescriptionP.innerText = actionState.columnDescription;
if (th.dataset.columnDescription) {
columnDescriptionP.innerText = th.dataset.columnDescription;
columnDescriptionP.style.display = "block";
} else {
columnDescriptionP.style.display = "none";
@ -589,6 +187,39 @@ const initDatasetteTable = function (manager) {
menu.style.display = "block";
menu.classList.add("anim-scale-in");
// Custom menu items on each render
// Plugin hook: allow adding JS-based additional menu items
const columnActionsPayload = {
columnName: th.dataset.column,
columnNotNull: th.dataset.columnNotNull === "1",
columnType: th.dataset.columnType,
isPk: th.dataset.isPk === "1",
};
const columnItemConfigs = manager.makeColumnActions(columnActionsPayload);
const menuList = menu.querySelector("ul");
columnItemConfigs.forEach((itemConfig) => {
// Remove items from previous render. We assume entries have unique labels.
const existingItems = menuList.querySelectorAll(`li`);
Array.from(existingItems)
.filter((item) => item.innerText === itemConfig.label)
.forEach((node) => {
node.remove();
});
const newLink = document.createElement("a");
newLink.textContent = itemConfig.label;
newLink.href = itemConfig.href ?? "#";
if (itemConfig.onClick) {
newLink.onclick = itemConfig.onClick;
}
// Attach new elements to DOM
const menuItem = document.createElement("li");
menuItem.appendChild(newLink);
menuList.appendChild(menuItem);
});
// Measure width of menu and adjust position if too far right
const menuWidth = menu.offsetWidth;
const windowWidth = window.innerWidth;
@ -699,55 +330,10 @@ function initAutocompleteForFilterValues(manager) {
});
}
/** Open the column-chooser web component */
function openColumnChooser() {
var chooser = document.querySelector("column-chooser");
var data = window._columnChooserData;
if (!chooser || !data) return;
var nonPkColumns = data.allColumns.filter(function (col) {
return data.primaryKeys.indexOf(col) === -1;
});
var selected = data.selectedColumns.filter(function (col) {
return data.primaryKeys.indexOf(col) === -1;
});
chooser.open({
columns: nonPkColumns,
selected: selected,
onApply: function (cols) {
var params = new URLSearchParams(location.search);
params.delete("_col");
params.delete("_nocol");
params.delete("_next");
if (cols.length === nonPkColumns.length) {
// Check if order matches original - if so, no params needed
var orderMatches = cols.every(function (col, i) {
return col === nonPkColumns[i];
});
if (!orderMatches) {
cols.forEach(function (col) {
params.append("_col", col);
});
}
} else {
cols.forEach(function (col) {
params.append("_col", col);
});
}
var qs = params.toString();
location.href = qs ? "?" + qs : location.pathname;
},
});
}
// Ensures Table UI is initialized only after the Manager is ready.
document.addEventListener("datasette_init", function (evt) {
const { detail: manager } = evt;
initializeColumnActions(manager);
// Main table
initDatasetteTable(manager);

View file

@ -1,623 +0,0 @@
from __future__ import annotations
from dataclasses import dataclass
import json
from typing import Any, Iterable
from .resources import TableResource
from .utils import named_parameters, sqlite3, tilde_encode, urlsafe_components
from .utils.asgi import Forbidden
UNCHANGED = object()
QUERY_OPTION_FIELDS = (
"hide_sql",
"fragment",
"on_success_message",
"on_success_message_sql",
"on_success_redirect",
"on_error_message",
"on_error_redirect",
)
@dataclass
class StoredQuery:
database: str
name: str
sql: str
title: str | None
description: str | None
description_html: str | None
hide_sql: bool
fragment: str | None
parameters: list[str]
is_write: bool
is_private: bool
is_trusted: bool
source: str
owner_id: str | None
on_success_message: str | None
on_success_message_sql: str | None
on_success_redirect: str | None
on_error_message: str | None
on_error_redirect: str | None
private: bool | None = None
@dataclass
class StoredQueryPage:
queries: list[StoredQuery]
next: str | None
has_more: bool
limit: int
def stored_query_to_dict(query: StoredQuery) -> dict[str, Any]:
data = {
"database": query.database,
"name": query.name,
"sql": query.sql,
"title": query.title,
"description": query.description,
"description_html": query.description_html,
"hide_sql": query.hide_sql,
"fragment": query.fragment,
"params": list(query.parameters),
"parameters": list(query.parameters),
"is_write": query.is_write,
"is_private": query.is_private,
"is_trusted": query.is_trusted,
"source": query.source,
"owner_id": query.owner_id,
"on_success_message": query.on_success_message,
"on_success_message_sql": query.on_success_message_sql,
"on_success_redirect": query.on_success_redirect,
"on_error_message": query.on_error_message,
"on_error_redirect": query.on_error_redirect,
}
if query.private is not None:
data["private"] = query.private
return data
def stored_query_page_to_dict(page: StoredQueryPage) -> dict[str, Any]:
return {
"queries": [stored_query_to_dict(query) for query in page.queries],
"next": page.next,
"has_more": page.has_more,
"limit": page.limit,
}
async def save_queries_from_config(datasette: Any) -> None:
# Apply configured query entries from datasette.yaml to the internal table.
await datasette.get_internal_database().execute_write(
"DELETE FROM queries WHERE source = 'config'"
)
for dbname, db_config in ((datasette.config or {}).get("databases") or {}).items():
for query_name, query_config in (db_config.get("queries") or {}).items():
if not isinstance(query_config, dict):
query_config = {"sql": query_config}
await datasette.add_query(
dbname,
query_name,
query_config["sql"],
title=query_config.get("title"),
description=query_config.get("description"),
description_html=query_config.get("description_html"),
hide_sql=bool(query_config.get("hide_sql")),
fragment=query_config.get("fragment"),
parameters=query_config.get("params"),
is_write=bool(query_config.get("write")),
is_private=bool(query_config.get("is_private")),
is_trusted=bool(query_config.get("is_trusted", True)),
source="config",
on_success_message=query_config.get("on_success_message"),
on_success_message_sql=query_config.get("on_success_message_sql"),
on_success_redirect=query_config.get("on_success_redirect"),
on_error_message=query_config.get("on_error_message"),
on_error_redirect=query_config.get("on_error_redirect"),
)
def query_row_to_stored_query(
row: Any, private: bool | None = None
) -> StoredQuery | None:
if row is None:
return None
parameters = json.loads(row["parameters"] or "[]")
options = json.loads(row["options"] or "{}")
return StoredQuery(
database=row["database_name"],
name=row["name"],
sql=row["sql"],
title=row["title"],
description=row["description"],
description_html=row["description_html"],
hide_sql=bool(options.get("hide_sql")),
fragment=options.get("fragment"),
parameters=parameters,
is_write=bool(row["is_write"]),
is_private=bool(row["is_private"]),
is_trusted=bool(row["is_trusted"]),
source=row["source"],
owner_id=row["owner_id"],
on_success_message=options.get("on_success_message"),
on_success_message_sql=options.get("on_success_message_sql"),
on_success_redirect=options.get("on_success_redirect"),
on_error_message=options.get("on_error_message"),
on_error_redirect=options.get("on_error_redirect"),
private=private,
)
def query_options_json(options: dict[str, Any]) -> str:
options_dict = {}
for field in QUERY_OPTION_FIELDS:
value = options.get(field)
if field == "hide_sql":
if value:
options_dict[field] = True
elif value is not None:
options_dict[field] = value
return json.dumps(options_dict, sort_keys=True)
async def add_query(
datasette: Any,
database: str,
name: str,
sql: str,
*,
title: str | None = None,
description: str | None = None,
description_html: str | None = None,
hide_sql: bool = False,
fragment: str | None = None,
parameters: Iterable[str] | None = None,
is_write: bool = False,
is_private: bool = False,
is_trusted: bool = False,
source: str = "plugin",
owner_id: str | None = None,
on_success_message: str | None = None,
on_success_message_sql: str | None = None,
on_success_redirect: str | None = None,
on_error_message: str | None = None,
on_error_redirect: str | None = None,
replace: bool = True,
) -> None:
parameters_json = json.dumps(list(parameters or []))
options_json = query_options_json(
{
"hide_sql": hide_sql,
"fragment": fragment,
"on_success_message": on_success_message,
"on_success_message_sql": on_success_message_sql,
"on_success_redirect": on_success_redirect,
"on_error_message": on_error_message,
"on_error_redirect": on_error_redirect,
}
)
sql_statement = """
INSERT INTO queries (
database_name, name, sql, title, description, description_html,
options, parameters, is_write, is_private, is_trusted, source, owner_id
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
"""
if replace:
sql_statement += """
ON CONFLICT(database_name, name) DO UPDATE SET
sql = excluded.sql,
title = excluded.title,
description = excluded.description,
description_html = excluded.description_html,
options = excluded.options,
parameters = excluded.parameters,
is_write = excluded.is_write,
is_private = excluded.is_private,
is_trusted = excluded.is_trusted,
source = excluded.source,
owner_id = excluded.owner_id,
updated_at = CURRENT_TIMESTAMP
"""
await datasette.get_internal_database().execute_write(
sql_statement,
[
database,
name,
sql,
title,
description,
description_html,
options_json,
parameters_json,
int(bool(is_write)),
int(bool(is_private)),
int(bool(is_trusted)),
source,
owner_id,
],
)
async def update_query(
datasette: Any,
database: str,
name: str,
*,
sql=UNCHANGED,
title=UNCHANGED,
description=UNCHANGED,
description_html=UNCHANGED,
hide_sql=UNCHANGED,
fragment=UNCHANGED,
parameters=UNCHANGED,
is_write=UNCHANGED,
is_private=UNCHANGED,
is_trusted=UNCHANGED,
source=UNCHANGED,
owner_id=UNCHANGED,
on_success_message=UNCHANGED,
on_success_message_sql=UNCHANGED,
on_success_redirect=UNCHANGED,
on_error_message=UNCHANGED,
on_error_redirect=UNCHANGED,
) -> None:
fields = {
"sql": sql,
"title": title,
"description": description,
"description_html": description_html,
"parameters": parameters,
"is_write": is_write,
"is_private": is_private,
"is_trusted": is_trusted,
"source": source,
"owner_id": owner_id,
}
option_fields = {
"hide_sql": hide_sql,
"fragment": fragment,
"on_success_message": on_success_message,
"on_success_message_sql": on_success_message_sql,
"on_success_redirect": on_success_redirect,
"on_error_message": on_error_message,
"on_error_redirect": on_error_redirect,
}
updates = []
params = []
for field, value in fields.items():
if value is UNCHANGED:
continue
if field in {"is_write", "is_private", "is_trusted"}:
value = int(bool(value))
elif field == "parameters":
value = json.dumps(list(value or []))
updates.append(f"{field} = ?")
params.append(value)
changed_options = {
field: value for field, value in option_fields.items() if value is not UNCHANGED
}
if changed_options:
rows = await datasette.get_internal_database().execute(
"""
SELECT options FROM queries
WHERE database_name = ? AND name = ?
""",
[database, name],
)
row = rows.first()
options = json.loads(row["options"] or "{}") if row is not None else {}
for field, value in changed_options.items():
if field == "hide_sql":
if value:
options[field] = True
else:
options.pop(field, None)
elif value is None:
options.pop(field, None)
else:
options[field] = value
updates.append("options = ?")
params.append(json.dumps(options, sort_keys=True))
if not updates:
return
updates.append("updated_at = CURRENT_TIMESTAMP")
params.extend([database, name])
await datasette.get_internal_database().execute_write(
"""
UPDATE queries
SET {}
WHERE database_name = ? AND name = ?
""".format(", ".join(updates)),
params,
)
async def remove_query(
datasette: Any, database: str, name: str, source: str | None = None
) -> None:
sql = "DELETE FROM queries WHERE database_name = ? AND name = ?"
params = [database, name]
if source is not None:
sql += " AND source = ?"
params.append(source)
await datasette.get_internal_database().execute_write(sql, params)
async def get_query(datasette: Any, database: str, name: str) -> StoredQuery | None:
rows = await datasette.get_internal_database().execute(
"""
SELECT * FROM queries
WHERE database_name = ? AND name = ?
""",
[database, name],
)
return query_row_to_stored_query(rows.first())
async def count_queries(
datasette: Any,
database: str | None = None,
*,
actor: dict[str, Any] | None = None,
q: str | None = None,
is_write: bool | None = None,
is_private: bool | None = None,
is_trusted: bool | None = None,
source: str | None = None,
owner_id: str | None = None,
) -> int:
allowed_sql, allowed_params = await datasette.allowed_resources_sql(
action="view-query",
actor=actor,
parent=database,
)
params = dict(allowed_params)
where_clauses = []
if database is not None:
params["query_database"] = database
where_clauses.append("q.database_name = :query_database")
if q:
where_clauses.append("""
(
q.name LIKE :query_search
OR q.title LIKE :query_search
OR q.description LIKE :query_search
OR q.sql LIKE :query_search
)
""")
params["query_search"] = "%{}%".format(q)
if is_write is not None:
where_clauses.append("q.is_write = :query_is_write")
params["query_is_write"] = int(bool(is_write))
if is_private is not None:
where_clauses.append("q.is_private = :query_is_private")
params["query_is_private"] = int(bool(is_private))
if is_trusted is not None:
where_clauses.append("q.is_trusted = :query_is_trusted")
params["query_is_trusted"] = int(bool(is_trusted))
if source is not None:
where_clauses.append("q.source = :query_source")
params["query_source"] = source
if owner_id is not None:
where_clauses.append("q.owner_id = :query_owner_id")
params["query_owner_id"] = owner_id
row = (
await datasette.get_internal_database().execute(
"""
SELECT count(*) AS count
FROM queries q
JOIN (
{allowed_sql}
) allowed
ON allowed.parent = q.database_name
AND allowed.child = q.name
WHERE {where}
""".format(
allowed_sql=allowed_sql,
where=" AND ".join(where_clauses) or "1 = 1",
),
params,
)
).first()
return row["count"]
async def list_queries(
datasette: Any,
database: str | None = None,
*,
actor: dict[str, Any] | None = None,
limit: int = 50,
cursor: str | None = None,
q: str | None = None,
is_write: bool | None = None,
is_private: bool | None = None,
is_trusted: bool | None = None,
source: str | None = None,
owner_id: str | None = None,
include_private: bool = False,
) -> StoredQueryPage:
limit = min(max(1, int(limit)), 1000)
allowed_sql, allowed_params = await datasette.allowed_resources_sql(
action="view-query",
actor=actor,
parent=database,
include_is_private=include_private,
)
params = dict(allowed_params)
params.update({"limit": limit + 1})
sort_key_sql = "lower(coalesce(nullif(q.title, ''), q.name))"
where_clauses = []
order_by = "q.database_name, sort_key, q.name"
if database is not None:
params["query_database"] = database
where_clauses.append("q.database_name = :query_database")
order_by = "sort_key, q.name"
if cursor:
try:
components = urlsafe_components(cursor)
except ValueError:
components = []
if database is None and len(components) == 3:
where_clauses.append("""
(
q.database_name > :cursor_database
OR (
q.database_name = :cursor_database
AND (
{sort_key_sql} > :cursor_sort_key
OR (
{sort_key_sql} = :cursor_sort_key
AND q.name > :cursor_name
)
)
)
)
""".format(sort_key_sql=sort_key_sql))
params["cursor_database"] = components[0]
params["cursor_sort_key"] = components[1]
params["cursor_name"] = components[2]
elif database is not None and len(components) == 2:
where_clauses.append("""
(
{sort_key_sql} > :cursor_sort_key
OR (
{sort_key_sql} = :cursor_sort_key
AND q.name > :cursor_name
)
)
""".format(sort_key_sql=sort_key_sql))
params["cursor_sort_key"] = components[0]
params["cursor_name"] = components[1]
if q:
where_clauses.append("""
(
q.name LIKE :query_search
OR q.title LIKE :query_search
OR q.description LIKE :query_search
OR q.sql LIKE :query_search
)
""")
params["query_search"] = "%{}%".format(q)
if is_write is not None:
where_clauses.append("q.is_write = :query_is_write")
params["query_is_write"] = int(bool(is_write))
if is_private is not None:
where_clauses.append("q.is_private = :query_is_private")
params["query_is_private"] = int(bool(is_private))
if is_trusted is not None:
where_clauses.append("q.is_trusted = :query_is_trusted")
params["query_is_trusted"] = int(bool(is_trusted))
if source is not None:
where_clauses.append("q.source = :query_source")
params["query_source"] = source
if owner_id is not None:
where_clauses.append("q.owner_id = :query_owner_id")
params["query_owner_id"] = owner_id
private_select = ", allowed.is_private AS private" if include_private else ""
rows = list(
(
await datasette.get_internal_database().execute(
"""
SELECT q.*, {sort_key_sql} AS sort_key{private_select}
FROM queries q
JOIN (
{allowed_sql}
) allowed
ON allowed.parent = q.database_name
AND allowed.child = q.name
WHERE {where}
ORDER BY {order_by}
LIMIT :limit
""".format(
allowed_sql=allowed_sql,
private_select=private_select,
sort_key_sql=sort_key_sql,
where=" AND ".join(where_clauses) or "1 = 1",
order_by=order_by,
),
params,
)
).rows
)
has_more = len(rows) > limit
if has_more:
rows = rows[:limit]
queries = []
for row in rows:
query = query_row_to_stored_query(
row, private=bool(row["private"]) if include_private else None
)
assert query is not None
queries.append(query)
next_token = None
if has_more and rows:
last_row = rows[-1]
if database is None:
next_token = "{},{},{}".format(
tilde_encode(last_row["database_name"]),
tilde_encode(last_row["sort_key"]),
tilde_encode(last_row["name"]),
)
else:
next_token = "{},{}".format(
tilde_encode(last_row["sort_key"]),
tilde_encode(last_row["name"]),
)
return StoredQueryPage(
queries=queries,
next=next_token,
has_more=has_more,
limit=limit,
)
async def ensure_query_write_permissions(
datasette: Any,
database: str,
sql: str,
*,
actor: dict[str, Any] | None = None,
params: dict[str, Any] | None = None,
analysis: Any = None,
) -> Any:
write_actions = {
"insert": "insert-row",
"update": "update-row",
"delete": "delete-row",
}
db = datasette.get_database(database)
if analysis is None:
if params is None:
params = {name: "" for name in named_parameters(sql)}
try:
analysis = await db.analyze_sql(sql, params)
except sqlite3.DatabaseError as ex:
raise Forbidden(f"Could not analyze query: {ex}") from ex
for access in analysis.table_accesses:
action = write_actions.get(access.operation)
if action is None:
continue
if access.database != database:
raise Forbidden("Writable queries may not write to attached databases")
if not await datasette.allowed(
action=action,
resource=TableResource(database=access.database, table=access.table),
actor=actor,
):
raise Forbidden(
f"Permission denied: need {action} on {access.database}/{access.table}"
)
return analysis

View file

@ -1,7 +1,7 @@
{% if action_links %}
<div class="page-action-menu">
<details class="actions-menu-links details-menu">
<summary aria-haspopup="menu" aria-expanded="false">
<summary>
<div class="icon-text">
<svg class="icon" aria-labelledby="actions-menu-links-title" role="img" style="color: #fff" xmlns="http://www.w3.org/2000/svg" width="28" height="28" viewBox="0 0 28 28" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
<title id="actions-menu-links-title">{{ action_title }}</title>
@ -13,9 +13,9 @@
</summary>
<div class="dropdown-menu">
<div class="hook"></div>
<ul role="menu">
<ul>
{% for link in action_links %}
<li role="none"><a href="{{ link.href }}" role="menuitem" tabindex="-1">{{ link.label }}
<li><a href="{{ link.href }}">{{ link.label }}
{% if link.description %}
<p class="dropdown-description">{{ link.description }}</p>
{% endif %}</a>

View file

@ -13,50 +13,4 @@ document.body.addEventListener('click', (ev) => {
(details) => details.open && details != detailsClickedWithin
).forEach(details => details.open = false);
});
/* Sync aria-expanded and add keyboard navigation for details-menu elements */
document.querySelectorAll('details.details-menu').forEach(function(details) {
var summary = details.querySelector('summary');
details.addEventListener('toggle', function() {
if (summary) {
summary.setAttribute('aria-expanded', details.open ? 'true' : 'false');
}
if (details.open) {
/* Focus first menu item when menu opens */
var firstItem = details.querySelector('[role="menuitem"]');
if (firstItem) { firstItem.focus(); }
}
});
});
document.body.addEventListener('keydown', function(ev) {
/* Keyboard navigation for open details-menu elements */
var openDetails = Array.from(document.querySelectorAll('details.details-menu[open]'));
if (!openDetails.length) { return; }
if (ev.key === 'Escape') {
openDetails.forEach(function(details) {
details.open = false;
var summary = details.querySelector('summary');
if (summary) { summary.focus(); }
});
return;
}
if (ev.key === 'ArrowDown' || ev.key === 'ArrowUp') {
var focused = document.activeElement;
openDetails.forEach(function(details) {
var items = Array.from(details.querySelectorAll('[role="menuitem"]'));
if (!items.length) { return; }
var idx = items.indexOf(focused);
if (idx === -1) { return; }
ev.preventDefault();
if (ev.key === 'ArrowDown') {
items[(idx + 1) % items.length].focus();
} else {
items[(idx - 1 + items.length) % items.length].focus();
}
});
}
});
</script>

View file

@ -1,111 +0,0 @@
<script>
window.datasetteSqlAnalysis = (() => {
if (
window.datasetteSqlAnalysis &&
window.datasetteSqlAnalysis.renderAnalysis
) {
return window.datasetteSqlAnalysis;
}
function appendCodeCell(row, value, emptyText) {
const cell = document.createElement("td");
if (value) {
const code = document.createElement("code");
code.textContent = value;
cell.appendChild(code);
} else if (emptyText) {
appendNotApplicable(cell);
}
row.appendChild(cell);
}
function appendNotApplicable(cell) {
const notApplicable = document.createElement("span");
notApplicable.className = "execute-write-analysis-na";
notApplicable.textContent = "n/a";
cell.appendChild(notApplicable);
}
function renderAnalysis(section, data) {
if (!section) {
return;
}
section.replaceChildren();
if (data.has_sql === false) {
section.hidden = true;
return;
}
section.hidden = false;
const heading = document.createElement("h2");
heading.textContent = "Query operations";
section.appendChild(heading);
if (data.analysis_error) {
const error = document.createElement("p");
error.className = "message-error";
error.textContent = data.analysis_error;
section.appendChild(error);
return;
}
const rows = data.analysis_rows || [];
if (!rows.length) {
const empty = document.createElement("p");
empty.textContent =
"Analysis will show each affected table and required permission.";
section.appendChild(empty);
return;
}
const wrapper = document.createElement("div");
wrapper.className = "table-wrapper";
const table = document.createElement("table");
table.className = "execute-write-analysis";
const thead = document.createElement("thead");
const headerRow = document.createElement("tr");
[
"Operation",
"Database",
"Table",
"Required permission",
"Allowed",
].forEach((label) => {
const th = document.createElement("th");
th.scope = "col";
th.textContent = label;
headerRow.appendChild(th);
});
thead.appendChild(headerRow);
table.appendChild(thead);
const tbody = document.createElement("tbody");
rows.forEach((analysisRow) => {
const row = document.createElement("tr");
appendCodeCell(row, analysisRow.operation);
appendCodeCell(row, analysisRow.database);
appendCodeCell(row, analysisRow.table);
appendCodeCell(row, analysisRow.required_permission, "n/a");
const allowedCell = document.createElement("td");
if (analysisRow.allowed !== null && analysisRow.allowed !== undefined) {
const allowed = document.createElement("span");
allowed.className = analysisRow.allowed
? "execute-write-analysis-allowed"
: "execute-write-analysis-denied";
allowed.textContent = analysisRow.allowed ? "yes" : "no";
allowedCell.appendChild(allowed);
} else {
appendNotApplicable(allowedCell);
}
row.appendChild(allowedCell);
tbody.appendChild(row);
});
table.appendChild(tbody);
wrapper.appendChild(table);
section.appendChild(wrapper);
}
return { renderAnalysis };
})();
</script>

View file

@ -1,41 +0,0 @@
<style>
.execute-write-analysis {
border-collapse: collapse;
font-size: 0.9rem;
margin: 0.25rem 0 1rem;
min-width: 44rem;
}
.execute-write-analysis th,
.execute-write-analysis td {
border-bottom: 1px solid #d7dde5;
padding: 0.45rem 0.7rem;
text-align: left;
vertical-align: top;
}
.execute-write-analysis th {
background-color: #edf6fb;
border-top: 1px solid #d7dde5;
color: #39445a;
font-weight: 700;
}
.execute-write-analysis tbody tr:nth-child(even) {
background-color: rgba(39, 104, 144, 0.05);
}
.execute-write-analysis code {
background: transparent;
font-size: 0.9em;
white-space: nowrap;
}
.execute-write-analysis-allowed {
color: #267a3e;
font-weight: 700;
}
.execute-write-analysis-denied {
color: #b00020;
font-weight: 700;
}
.execute-write-analysis-na {
color: #687386;
font-style: italic;
}
</style>

View file

@ -1,293 +0,0 @@
<script>
window.datasetteSqlParameters = (() => {
if (
window.datasetteSqlParameters &&
window.datasetteSqlParameters.setupSqlParameterRefresh
) {
return window.datasetteSqlParameters;
}
function currentSql(form) {
if (window.editor) {
return window.editor.state.doc.toString();
}
const sqlInput = form.querySelector("textarea#sql-editor, input[name=sql]");
return sqlInput ? sqlInput.value : "";
}
function controlState(control) {
return {
value: control.value,
expanded: control.tagName.toLowerCase() === "textarea",
};
}
function syncParameterState(manager) {
manager.parameterState = new Map();
manager.section
.querySelectorAll("[data-parameter-control]")
.forEach((control) => {
manager.parameterState.set(control.name, controlState(control));
});
}
function createControl(parameter, id, state) {
const control = document.createElement(state.expanded ? "textarea" : "input");
control.id = id;
control.name = parameter;
control.value = state.value;
control.setAttribute("data-parameter-control", "");
if (state.expanded) {
control.rows = 5;
} else {
control.type = "text";
}
return control;
}
function replaceParameterControl(
manager,
control,
button,
expand,
value,
selectionStart
) {
const replacement = createControl(control.name, control.id, {
value: value === undefined ? control.value : value,
expanded: expand,
});
button.textContent = expand ? "Collapse" : "Expand";
button.setAttribute("aria-expanded", expand ? "true" : "false");
control.replaceWith(replacement);
replacement.focus();
if (selectionStart !== undefined && replacement.setSelectionRange) {
replacement.setSelectionRange(selectionStart, selectionStart);
}
manager.parameterState.set(replacement.name, controlState(replacement));
}
function renderParameters(manager, parameters) {
syncParameterState(manager);
const previousState = manager.parameterState;
const nextState = new Map();
manager.section.replaceChildren();
if (!parameters.length) {
manager.parameterState = nextState;
return;
}
const heading = document.createElement("h2");
heading.textContent = "Parameters";
manager.section.appendChild(heading);
parameters.forEach((parameter, index) => {
const id = `qp${index + 1}`;
const state = previousState.get(parameter) || {
value: "",
expanded: false,
};
if (!manager.allowExpand) {
state.expanded = false;
}
nextState.set(parameter, state);
const row = document.createElement("p");
row.className = "sql-parameter-row";
const label = document.createElement("label");
label.htmlFor = id;
label.textContent = parameter;
const control = createControl(parameter, id, state);
row.append(label, control);
if (manager.allowExpand) {
const button = document.createElement("button");
button.type = "button";
button.className = "sql-parameter-toggle";
button.setAttribute("data-parameter-toggle", "");
button.setAttribute("aria-controls", id);
button.setAttribute("aria-expanded", state.expanded ? "true" : "false");
button.textContent = state.expanded ? "Collapse" : "Expand";
row.append(" ", button);
}
manager.section.appendChild(row);
});
manager.parameterState = nextState;
}
function bindParameterControls(manager) {
manager.form.addEventListener("input", (event) => {
const control = event.target;
if (!control.matches || !control.matches("[data-parameter-control]")) {
return;
}
manager.parameterState.set(control.name, controlState(control));
});
if (!manager.allowExpand) {
return;
}
manager.form.addEventListener("click", (event) => {
const button = event.target.closest
? event.target.closest("[data-parameter-toggle]")
: null;
if (!button || !manager.form.contains(button)) {
return;
}
const control = document.getElementById(button.getAttribute("aria-controls"));
if (!control) {
return;
}
const expanded = control.tagName.toLowerCase() === "textarea";
replaceParameterControl(manager, control, button, !expanded);
});
manager.form.addEventListener("paste", (event) => {
const control = event.target;
if (
!(control instanceof HTMLInputElement) ||
!control.matches("[data-parameter-control]")
) {
return;
}
const pasted = event.clipboardData ? event.clipboardData.getData("text") : "";
if (!/[\r\n]/.test(pasted)) {
return;
}
const button = document.querySelector(
`[data-parameter-toggle][aria-controls="${control.id}"]`
);
if (!button) {
return;
}
event.preventDefault();
const selectionStart = control.selectionStart ?? control.value.length;
const selectionEnd = control.selectionEnd ?? selectionStart;
const value =
control.value.slice(0, selectionStart) +
pasted +
control.value.slice(selectionEnd);
replaceParameterControl(
manager,
control,
button,
true,
value,
selectionStart + pasted.length
);
});
}
function bindEditorChanges(form, callback) {
const editorElement = form.querySelector(".cm-content");
if (editorElement) {
editorElement.addEventListener("input", callback);
}
if (!window.editor) {
const sqlInput = form.querySelector("textarea#sql-editor");
if (sqlInput) {
sqlInput.addEventListener("input", callback);
}
return;
}
if (!window.editor.datasetteSqlParameterCallbacks) {
const editor = window.editor;
const originalDispatch = editor.dispatch.bind(editor);
editor.datasetteSqlParameterCallbacks = [];
editor.dispatch = (...transactions) => {
const before = editor.state.doc.toString();
originalDispatch(...transactions);
if (editor.state.doc.toString() !== before) {
editor.datasetteSqlParameterCallbacks.forEach((listener) => listener());
}
};
}
window.editor.datasetteSqlParameterCallbacks.push(callback);
}
function setupSqlParameterRefresh(options) {
const form =
options.form || document.querySelector("form.sql.core[data-parameters-url]");
if (!form) {
return null;
}
const shouldRenderParameters = options.renderParameters !== false;
const section =
options.section || form.querySelector("[data-sql-parameters-section]");
if (shouldRenderParameters && !section) {
return null;
}
const manager = {
form,
section,
allowExpand:
options.allowExpand === undefined
? section
? section.dataset.allowExpand === "1"
: false
: options.allowExpand,
parameterState: new Map(),
};
if (section) {
bindParameterControls(manager);
syncParameterState(manager);
}
const url = options.url || form.dataset.parametersUrl;
let refreshTimer = null;
let refreshSequence = 0;
async function refreshParameters() {
if (!url) {
return;
}
const sequence = ++refreshSequence;
try {
const requestUrl = new URL(url, window.location.href);
requestUrl.searchParams.set("sql", currentSql(form));
const response = await fetch(requestUrl, {
headers: { accept: "application/json" },
});
const data = await response.json();
if (sequence !== refreshSequence) {
return;
}
if (!response.ok) {
throw new Error((data.errors || [response.statusText]).join("; "));
}
if (shouldRenderParameters) {
renderParameters(manager, data.parameters || []);
}
if (options.onData) {
options.onData(data, manager);
}
} catch (error) {
if (sequence !== refreshSequence) {
return;
}
if (options.onError) {
options.onError(error, manager);
}
}
}
function scheduleRefresh() {
clearTimeout(refreshTimer);
refreshTimer = setTimeout(refreshParameters, options.debounceMs || 350);
}
bindEditorChanges(form, scheduleRefresh);
return {
currentSql: () => currentSql(form),
refreshParameters,
renderParameters: (parameters) => renderParameters(manager, parameters),
};
}
return { setupSqlParameterRefresh };
})();
</script>

View file

@ -1,58 +0,0 @@
<style>
form.sql .sql-editor {
max-width: 52rem;
}
form.sql .sql-editor textarea#sql-editor {
width: 100%;
}
form.sql .sql-parameters-section {
max-width: 52rem;
}
form.sql .sql-parameter-row {
align-items: start;
column-gap: 0.6rem;
display: grid;
grid-template-columns: minmax(8rem, 11rem) minmax(16rem, 1fr) auto;
margin: 0 0 0.65rem;
max-width: 52rem;
}
form.sql .sql-parameter-row label {
overflow-wrap: anywhere;
padding-top: 0.55rem;
width: auto;
}
form.sql .sql-parameter-row input[data-parameter-control],
form.sql .sql-parameter-row textarea[data-parameter-control] {
box-sizing: border-box;
width: 100%;
}
form.sql .sql-parameter-row textarea[data-parameter-control] {
border: 1px solid #ccc;
border-radius: 3px;
display: block;
font-family: Helvetica, sans-serif;
font-size: 1em;
min-height: 7rem;
padding: 9px 4px;
}
form.sql.core button.sql-parameter-toggle[type=button] {
font-size: 0.72rem;
height: 1.8rem;
line-height: 1;
margin: 0.25rem 0 0;
padding: 0.25rem 0.45rem;
}
@media (max-width: 480px) {
form.sql .sql-parameter-row {
grid-template-columns: 1fr;
row-gap: 0.25rem;
}
form.sql .sql-parameter-row label {
padding-top: 0;
}
form.sql.core button.sql-parameter-toggle[type=button] {
justify-self: start;
margin-top: 0;
}
}
</style>

View file

@ -1,9 +0,0 @@
<div id="{{ sql_parameters_section_id|default("sql-parameters-section") }}" class="sql-parameters-section" data-sql-parameters-section{% if sql_parameters_allow_expand|default(false) %} data-allow-expand="1"{% endif %}>
{% if parameter_names %}
<h2>Parameters</h2>
{% for parameter in parameter_names %}
{% set parameter_id = (sql_parameter_id_prefix|default("qp")) ~ loop.index %}
<p class="sql-parameter-row"><label for="{{ parameter_id }}">{{ parameter }}</label> <input type="text" id="{{ parameter_id }}" name="{{ parameter }}" value="{{ parameter_values.get(parameter, "") }}" data-parameter-control>{% if sql_parameters_allow_expand|default(false) %} <button type="button" class="sql-parameter-toggle" data-parameter-toggle aria-controls="{{ parameter_id }}" aria-expanded="false">Expand</button>{% endif %}</p>
{% endfor %}
{% endif %}
</div>

View file

@ -1,12 +1,12 @@
<!-- above-table-panel is a hook node for plugins to attach to . Displays even if no data available -->
<div class="above-table-panel"> </div>
{% if display_columns %}
{% if display_rows %}
<div class="table-wrapper">
<table class="rows-and-columns">
<thead>
<tr>
{% for column in display_columns %}
<th {% if column.description %}data-column-description="{{ column.description }}" {% endif %}class="col-{{ column.name|to_css_class }}" scope="col" data-column="{{ column.name }}" data-column-type="{{ column.type.lower() }}" data-column-not-null="{{ column.notnull }}" data-is-pk="{% if column.is_pk %}1{% else %}0{% endif %}"{% if column.is_special_link_column %} data-is-link-column="1"{% endif %}>
<th {% if column.description %}data-column-description="{{ column.description }}" {% endif %}class="col-{{ column.name|to_css_class }}" scope="col" data-column="{{ column.name }}" data-column-type="{{ column.type.lower() }}" data-column-not-null="{{ column.notnull }}" data-is-pk="{% if column.is_pk %}1{% else %}0{% endif %}">
{% if not column.sortable %}
{{ column.name }}
{% else %}
@ -31,7 +31,6 @@
</tbody>
</table>
</div>
{% endif %}
{% if not display_rows %}
{% else %}
<p class="zero-results">0 records</p>
{% endif %}

View file

@ -20,7 +20,7 @@
<body class="{% block body_class %}{% endblock %}">
<div class="not-footer">
<header class="hd"><nav>{% block nav %}{% block crumbs %}{{ crumbs.nav(request=request) }}{% endblock %}
{% set links = menu_links() %}
{% set links = menu_links() %}{% if links or show_logout %}
<details class="nav-menu details-menu">
<summary><svg aria-labelledby="nav-menu-svg-title" role="img"
fill="currentColor" stroke="currentColor" xmlns="http://www.w3.org/2000/svg"
@ -29,18 +29,20 @@
<path fill-rule="evenodd" d="M1 2.75A.75.75 0 011.75 2h12.5a.75.75 0 110 1.5H1.75A.75.75 0 011 2.75zm0 5A.75.75 0 011.75 7h12.5a.75.75 0 110 1.5H1.75A.75.75 0 011 7.75zM1.75 12a.75.75 0 100 1.5h12.5a.75.75 0 100-1.5H1.75z"></path>
</svg></summary>
<div class="nav-menu-inner">
{% if links %}
<ul>
<li><button type="button" class="button-as-link" data-navigation-search-open aria-haspopup="dialog" aria-expanded="false" aria-keyshortcuts="/">Jump to... <kbd class="keyboard-shortcut" aria-hidden="true" title="Keyboard shortcut: press / to open Jump to">/</kbd></button></li>
{% for link in links %}
<li><a href="{{ link.href }}">{{ link.label }}</a></li>
{% endfor %}
</ul>
{% endif %}
{% if show_logout %}
<form class="nav-menu-logout" action="{{ urls.logout() }}" method="post">
<input type="hidden" name="csrftoken" value="{{ csrftoken() }}">
<button class="button-as-link">Log out</button>
</form>{% endif %}
</div>
</details>
</details>{% endif %}
{% if actor %}
<div class="actor">
<strong>{{ display_actor(actor) }}</strong>
@ -71,6 +73,6 @@
{% if select_templates %}<!-- Templates considered: {{ select_templates|join(", ") }} -->{% endif %}
<script src="{{ urls.static('navigation-search.js') }}" defer></script>
<navigation-search url="/-/jump"></navigation-search>
<navigation-search url="/-/tables"></navigation-search>
</body>
</html>

View file

@ -50,6 +50,7 @@
</select>
</div>
<input type="text" name="expire_duration" style="width: 10%">
<input type="hidden" name="csrftoken" value="{{ csrftoken() }}">
<input type="submit" value="Create token">
<details style="margin-top: 1em" id="restrict-permissions">

View file

@ -1,5 +1,5 @@
{% extends "base.html" %}
{% block title %}CSRF check failed{% endblock %}
{% block title %}CSRF check failed){% endblock %}
{% block content %}
<h1>Form origin check failed</h1>
@ -7,7 +7,7 @@
<details><summary>Technical details</summary>
<p>Developers: consult Datasette's <a href="https://docs.datasette.io/en/latest/internals.html#csrf-protection">CSRF protection documentation</a>.</p>
<p>Reason: {{ reason }}</p>
<p>Error code is {{ message_name }}.</p>
</details>
{% endblock %}

View file

@ -5,7 +5,6 @@
{% block extra_head %}
{{- super() -}}
{% include "_codemirror.html" %}
{% include "_sql_parameter_styles.html" %}
{% endblock %}
{% block body_class %}db db-{{ database|to_css_class }}{% endblock %}
@ -26,13 +25,9 @@
{% block description_source_license %}{% include "_description_source_license.html" %}{% endblock %}
{% if allow_execute_sql %}
<form class="sql core" action="{{ urls.database(database) }}/-/query" method="get" data-parameters-url="{{ urls.database(database) }}/-/query/parameters">
<form class="sql core" action="{{ urls.database(database) }}/-/query" method="get">
<h3>Custom SQL query</h3>
<p class="sql-editor"><textarea id="sql-editor" name="sql">{% if tables %}select * from {{ tables[0].name|escape_sqlite }}{% else %}select sqlite_version(){% endif %}</textarea></p>
{% set parameter_names = [] %}
{% set parameter_values = {} %}
{% set sql_parameters_allow_expand = false %}
{% include "_sql_parameters.html" %}
<p><textarea id="sql-editor" name="sql">{% if tables %}select * from {{ tables[0].name|escape_sqlite }}{% else %}select sqlite_version(){% endif %}</textarea></p>
<p>
<button id="sql-format" type="button" hidden>Format SQL</button>
<input type="submit" value="Run SQL">
@ -58,9 +53,6 @@
<li><a href="{{ urls.query(database, query.name) }}{% if query.fragment %}#{{ query.fragment }}{% endif %}" title="{{ query.description or query.sql }}">{{ query.title or query.name }}</a>{% if query.private %} 🔒{% endif %}</li>
{% endfor %}
</ul>
{% if queries_more %}
<p><a href="{{ urls.database(database) }}/-/queries">View {{ "{:,}".format(queries_count) }} quer{% if queries_count == 1 %}y{% else %}ies{% endif %}</a></p>
{% endif %}
{% endif %}
{% if tables %}
@ -95,11 +87,5 @@
{% endif %}
{% include "_codemirror_foot.html" %}
{% include "_sql_parameter_scripts.html" %}
<script>
window.addEventListener("DOMContentLoaded", () => {
window.datasetteSqlParameters.setupSqlParameterRefresh({});
});
</script>
{% endblock %}

View file

@ -52,6 +52,7 @@ textarea {
<div class="permission-form">
<form action="{{ urls.path('-/permissions') }}" id="debug-post" method="post">
<input type="hidden" name="csrftoken" value="{{ csrftoken() }}">
<div class="two-col">
<div class="form-section">
<label>Actor</label>

View file

@ -1,314 +0,0 @@
{% extends "base.html" %}
{% block title %}Write to this database{% endblock %}
{% block extra_head %}
{{- super() -}}
{% include "_codemirror.html" %}
<style>
.execute-write-template-menu {
margin: 0.9rem 0 0.8rem;
max-width: 52rem;
}
.execute-write-template-menu summary {
cursor: pointer;
font-weight: 600;
margin-bottom: 0.35rem;
}
.execute-write-template-controls {
align-items: center;
display: flex;
flex-wrap: wrap;
gap: 0.4rem;
margin: 0.4rem 0 0.7rem;
}
.execute-write-template-menu .execute-write-template-controls label {
margin-right: 0.25rem;
width: auto;
}
.execute-write-template-controls select,
.execute-write-template-controls button[type=button] {
box-sizing: border-box;
font-size: 0.78rem;
height: 2rem;
line-height: 1.1;
padding: 0.35rem 0.55rem;
}
.execute-write-template-controls select {
background-color: #fff;
border: 1px solid #777;
border-radius: 0.25rem;
min-width: 13rem;
}
</style>
{% include "_execute_write_analysis_styles.html" %}
{% include "_sql_parameter_styles.html" %}
{% endblock %}
{% block body_class %}execute-write db-{{ database|to_css_class }}{% endblock %}
{% block crumbs %}
{{ crumbs.nav(request=request, database=database) }}
{% endblock %}
{% block content %}
<h1 style="padding-left: 10px; border-left: 10px solid #{{ database_color }}">Write to this database</h1>
<p>Execute SQL to insert, update or delete rows in this database.</p>
{% if execution_message %}
<p class="{% if execution_ok %}message-info{% else %}message-error{% endif %}">{{ execution_message }}{% for link in execution_links %} <a href="{{ link.href }}">{{ link.label }}</a>{% endfor %}</p>
{% endif %}
<form class="sql core" action="{{ urls.database(database) }}/-/execute-write" method="post" data-analyze-url="{{ urls.database(database) }}/-/execute-write/analyze">
{% if write_template_tables %}
<div class="execute-write-template-menu">
<details>
<summary>Start with a template</summary>
<p class="execute-write-template-controls">
<label for="execute-write-template-table">Table</label>
<select id="execute-write-template-table">
{% for table_name, columns in write_template_tables|dictsort %}
<option value="{{ table_name }}">{{ table_name }}</option>
{% endfor %}
</select>
<button type="button" data-sql-template="insert">Insert row</button>
<button type="button" data-sql-template="update">Update rows</button>
<button type="button" data-sql-template="delete">Delete rows</button>
</p>
</details>
</div>
{% endif %}
<p class="sql-editor"><textarea id="sql-editor" name="sql"{% if sql %} style="height: {{ sql.split("\n")|length + 2 }}em"{% endif %}>{{ sql }}</textarea></p>
{% set sql_parameters_section_id = "execute-write-parameters-section" %}
{% set sql_parameters_allow_expand = true %}
{% include "_sql_parameters.html" %}
<div id="execute-write-analysis-section">
<h2>Query operations</h2>
{% if analysis_error %}
<p class="message-error">{{ analysis_error }}</p>
{% elif analysis_rows %}
<div class="table-wrapper"><table class="execute-write-analysis">
<thead>
<tr>
<th scope="col">Operation</th>
<th scope="col">Database</th>
<th scope="col">Table</th>
<th scope="col">Required permission</th>
<th scope="col">Allowed</th>
</tr>
</thead>
<tbody>
{% for row in analysis_rows %}
<tr>
<td><code>{{ row.operation }}</code></td>
<td><code>{{ row.database }}</code></td>
<td><code>{{ row.table }}</code></td>
<td>{% if row.required_permission %}<code>{{ row.required_permission }}</code>{% endif %}</td>
<td>{% if row.allowed is none %}{% elif row.allowed %}<span class="execute-write-analysis-allowed">yes</span>{% else %}<span class="execute-write-analysis-denied">no</span>{% endif %}</td>
</tr>
{% endfor %}
</tbody>
</table></div>
{% else %}
<p>Analysis will show each affected table and required permission.</p>
{% endif %}
</div>
<p>
<input type="submit" value="Execute" data-execute-write-submit{% if execute_disabled %} disabled{% endif %}>
{% if save_query_base_url %}<a href="{{ save_query_url or save_query_base_url }}" class="save-query" data-save-query-link data-save-query-base-url="{{ save_query_base_url }}"{% if not save_query_url %} hidden{% endif %}>Save this query</a>{% endif %}
</p>
</form>
<script>
const executeWriteSqlInput = document.querySelector("textarea#sql-editor");
if (executeWriteSqlInput && !executeWriteSqlInput.value) {
executeWriteSqlInput.value = "\n\n\n";
}
</script>
{% include "_codemirror_foot.html" %}
{% include "_sql_parameter_scripts.html" %}
{% include "_execute_write_analysis_scripts.html" %}
<script>
window.addEventListener("DOMContentLoaded", () => {
const form = document.querySelector("form.sql.core");
const analysisSection = document.querySelector("#execute-write-analysis-section");
const submitButton = form
? form.querySelector("[data-execute-write-submit]")
: null;
const saveQueryLink = form
? form.querySelector("[data-save-query-link]")
: null;
function updateSaveQueryLink(data) {
if (!saveQueryLink) {
return;
}
const sql = window.editor
? window.editor.state.doc.toString()
: executeWriteSqlInput.value;
if (!sql.trim() || !data.ok || data.execute_disabled) {
saveQueryLink.hidden = true;
return;
}
const url = new URL(saveQueryLink.dataset.saveQueryBaseUrl, window.location.href);
url.searchParams.set("sql", sql);
saveQueryLink.href = url.pathname + url.search + url.hash;
saveQueryLink.hidden = false;
}
window.datasetteSqlParameters.setupSqlParameterRefresh({
form,
url: form.dataset.analyzeUrl,
allowExpand: true,
onData(data) {
window.datasetteSqlAnalysis.renderAnalysis(analysisSection, data);
if (submitButton) {
submitButton.disabled = data.execute_disabled;
}
updateSaveQueryLink(data);
},
onError(error) {
window.datasetteSqlAnalysis.renderAnalysis(analysisSection, {
analysis_error: error.message,
analysis_rows: [],
});
if (submitButton) {
submitButton.disabled = true;
}
if (saveQueryLink) {
saveQueryLink.hidden = true;
}
},
});
});
</script>
{% if write_template_tables %}
<script>
window.addEventListener("DOMContentLoaded", () => {
const tableColumns = {{ write_template_tables|tojson(2) }};
const tableSelect = document.querySelector("#execute-write-template-table");
const templateButtons = document.querySelectorAll("[data-sql-template]");
function quoteIdentifier(identifier) {
return `"${identifier.replace(/"/g, '""')}"`;
}
function parameterNames(columns) {
const seen = new Set();
const names = {};
columns.forEach((column) => {
let base = column
.toLowerCase()
.replace(/[^a-z0-9_]+/g, "_")
.replace(/^_+|_+$/g, "");
if (!base) {
base = "value";
}
if (/^[0-9]/.test(base)) {
base = `p_${base}`;
}
let name = base;
let index = 2;
while (seen.has(name)) {
name = `${base}_${index}`;
index += 1;
}
seen.add(name);
names[column] = name;
});
return names;
}
function preferredWhereColumn(table, columns) {
const lowerTableId = `${table.toLowerCase()}_id`;
return (
columns.find((column) => column.toLowerCase() === "id") ||
columns.find((column) => column.toLowerCase() === lowerTableId) ||
columns[0]
);
}
function insertSql(table, columns) {
const names = parameterNames(columns);
return [
`insert into ${quoteIdentifier(table)} (`,
columns.map((column) => ` ${quoteIdentifier(column)}`).join(",\n"),
")",
"values (",
columns.map((column) => ` :${names[column]}`).join(",\n"),
")",
].join("\n");
}
function updateSql(table, columns) {
const names = parameterNames(columns);
const whereColumn = preferredWhereColumn(table, columns);
const setColumns = columns.filter((column) => column !== whereColumn);
if (!setColumns.length) {
return [
`update ${quoteIdentifier(table)}`,
`set ${quoteIdentifier(whereColumn)} = :new_${names[whereColumn]}`,
`where ${quoteIdentifier(whereColumn)} = :${names[whereColumn]}`,
].join("\n");
}
return [
`update ${quoteIdentifier(table)}`,
"set " +
setColumns
.map((column, index) => {
const indent = index ? " " : "";
return `${indent}${quoteIdentifier(column)} = :${names[column]}`;
})
.join(",\n"),
`where ${quoteIdentifier(whereColumn)} = :${names[whereColumn]}`,
].join("\n");
}
function deleteSql(table, columns) {
const names = parameterNames(columns);
const whereColumn = preferredWhereColumn(table, columns);
return [
`delete from ${quoteIdentifier(table)}`,
`where ${quoteIdentifier(whereColumn)} = :${names[whereColumn]}`,
].join("\n");
}
function templateSql(operation, table, columns) {
if (operation === "insert") {
return insertSql(table, columns);
}
if (operation === "update") {
return updateSql(table, columns);
}
return deleteSql(table, columns);
}
templateButtons.forEach((button) => {
button.addEventListener("click", () => {
const table = tableSelect.value;
const columns = tableColumns[table] || [];
if (!columns.length) {
return;
}
const url = new URL(window.location.href);
url.searchParams.set(
"sql",
templateSql(button.dataset.sqlTemplate, table, columns)
);
window.location.href = url.toString();
});
});
});
</script>
{% endif %}
{% endblock %}

View file

@ -10,6 +10,7 @@
<form class="core" action="{{ urls.logout() }}" method="post">
<div>
<input type="hidden" name="csrftoken" value="{{ csrftoken() }}">
<input type="submit" value="Log out">
</div>
</form>

View file

@ -19,6 +19,7 @@
<option>all</option>
</select>
</div>
<input type="hidden" name="csrftoken" value="{{ csrftoken() }}">
<input type="submit" value="Add message">
</div>
</form>

View file

@ -14,10 +14,9 @@
</style>
{% endif %}
{% include "_codemirror.html" %}
{% include "_sql_parameter_styles.html" %}
{% endblock %}
{% block body_class %}query db-{{ database|to_css_class }}{% if stored_query %} query-{{ stored_query|to_css_class }}{% endif %}{% endblock %}
{% block body_class %}query db-{{ database|to_css_class }}{% if canned_query %} query-{{ canned_query|to_css_class }}{% endif %}{% endblock %}
{% block crumbs %}
{{ crumbs.nav(request=request, database=database) }}
@ -25,19 +24,19 @@
{% block content %}
{% if stored_query_write and db_is_immutable %}
{% if canned_query_write and db_is_immutable %}
<p class="message-error">This query cannot be executed because the database is immutable.</p>
{% endif %}
<h1 style="padding-left: 10px; border-left: 10px solid #{{ database_color }}">{{ metadata.title or database }}{% if stored_query and not metadata.title %}: {{ stored_query }}{% endif %}{% if private %} 🔒{% endif %}</h1>
<h1 style="padding-left: 10px; border-left: 10px solid #{{ database_color }}">{{ metadata.title or database }}{% if canned_query and not metadata.title %}: {{ canned_query }}{% endif %}{% if private %} 🔒{% endif %}</h1>
{% set action_links, action_title = query_actions(), "Query actions" %}
{% include "_action_menu.html" %}
{% if stored_query %}{{ top_stored_query() }}{% else %}{{ top_query() }}{% endif %}
{% if canned_query %}{{ top_canned_query() }}{% else %}{{ top_query() }}{% endif %}
{% block description_source_license %}{% include "_description_source_license.html" %}{% endblock %}
<form class="sql core" action="{{ urls.database(database) }}{% if stored_query %}/{{ stored_query }}{% endif %}" method="{% if stored_query_write %}post{% else %}get{% endif %}" data-parameters-url="{{ urls.database(database) }}/-/query/parameters">
<form class="sql core" action="{{ urls.database(database) }}{% if canned_query %}/{{ canned_query }}{% endif %}" method="{% if canned_query_write %}post{% else %}get{% endif %}">
<h3>Custom SQL query{% if display_rows %} returning {% if truncated %}more than {% endif %}{{ "{:,}".format(display_rows|length) }} row{% if display_rows|length == 1 %}{% else %}s{% endif %}{% endif %}{% if not query_error %}
<span class="show-hide-sql">(<a href="{{ show_hide_link }}">{{ show_hide_text }}</a>)</span>
{% endif %}</h3>
@ -46,28 +45,30 @@
{% endif %}
{% if not hide_sql %}
{% if editable and allow_execute_sql %}
<p class="sql-editor"><textarea id="sql-editor" name="sql"{% if query and query.sql %} style="height: {{ query.sql.split("\n")|length + 2 }}em"{% endif %}
>{% if query and query.sql %}{{ query.sql }}{% elif tables %}select * from {{ tables[0].name|escape_sqlite }}{% endif %}</textarea></p>
<p><textarea id="sql-editor" name="sql"{% if query and query.sql %} style="height: {{ query.sql.split("\n")|length + 2 }}em"{% endif %}
>{% if query and query.sql %}{{ query.sql }}{% else %}select * from {{ tables[0].name|escape_sqlite }}{% endif %}</textarea></p>
{% else %}
<pre id="sql-query">{% if query %}{{ query.sql }}{% endif %}</pre>
{% endif %}
{% else %}
{% if not stored_query %}
{% if not canned_query %}
<input type="hidden" name="sql"
value="{% if query and query.sql %}{{ query.sql }}{% elif tables %}select * from {{ tables[0].name|escape_sqlite }}{% endif %}"
value="{% if query and query.sql %}{{ query.sql }}{% else %}select * from {{ tables[0].name|escape_sqlite }}{% endif %}"
>
{% endif %}
{% endif %}
{% set parameter_names = named_parameter_values.keys()|list %}
{% set parameter_values = named_parameter_values %}
{% set sql_parameters_allow_expand = false %}
{% include "_sql_parameters.html" %}
{% if named_parameter_values %}
<h3>Query parameters</h3>
{% for name, value in named_parameter_values.items() %}
<p><label for="qp{{ loop.index }}">{{ name }}</label> <input type="text" id="qp{{ loop.index }}" name="{{ name }}" value="{{ value }}"></p>
{% endfor %}
{% endif %}
<p>
{% if not hide_sql %}<button id="sql-format" type="button" hidden>Format SQL</button>{% endif %}
<input type="submit" value="Run SQL"{% if stored_query_write and db_is_immutable %} disabled{% endif %}>
{% if canned_query_write %}<input type="hidden" name="csrftoken" value="{{ csrftoken() }}">{% endif %}
<input type="submit" value="Run SQL"{% if canned_query_write and db_is_immutable %} disabled{% endif %}>
{{ show_hide_hidden }}
{% if save_query_url %}<a href="{{ save_query_url }}" class="save-query">Save this query</a>{% endif %}
{% if stored_query and edit_sql_url %}<a href="{{ edit_sql_url }}" class="stored-query-edit-sql">Edit SQL</a>{% endif %}
{% if canned_query and edit_sql_url %}<a href="{{ edit_sql_url }}" class="canned-query-edit-sql">Edit SQL</a>{% endif %}
</p>
</form>
@ -90,17 +91,11 @@
</tbody>
</table></div>
{% else %}
{% if not stored_query_write and not error %}
{% if not canned_query_write and not error %}
<p class="zero-results">0 results</p>
{% endif %}
{% endif %}
{% include "_codemirror_foot.html" %}
{% include "_sql_parameter_scripts.html" %}
<script>
window.addEventListener("DOMContentLoaded", () => {
window.datasetteSqlParameters.setupSqlParameterRefresh({});
});
</script>
{% endblock %}

View file

@ -1,302 +0,0 @@
{% extends "base.html" %}
{% block title %}Create query{% endblock %}
{% block extra_head %}
{{- super() -}}
{% include "_codemirror.html" %}
{% include "_execute_write_analysis_styles.html" %}
<style>
.query-create-page {
max-width: 64rem;
}
.query-create-form {
--query-create-label-width: clamp(7rem, 18vw, 10rem);
--query-create-column-gap: 0.8rem;
--query-create-control-width: minmax(16rem, 1fr);
}
.query-create-fields {
margin: 0 0 0.85rem;
max-width: 52rem;
}
.query-create-field {
align-items: start;
column-gap: var(--query-create-column-gap);
display: grid;
grid-template-columns: var(--query-create-label-width) var(--query-create-control-width);
margin: 0 0 0.65rem;
}
.query-create-field label {
padding-top: 0.55rem;
width: auto;
}
.query-create-field input[type=text],
.query-create-field textarea {
box-sizing: border-box;
width: 100%;
}
form.sql .query-create-field textarea {
width: 100%;
}
.query-create-url-control {
align-items: center;
box-sizing: border-box;
display: grid;
gap: 0.35rem;
grid-template-columns: max-content minmax(12rem, 1fr);
width: 100%;
}
.query-create-url-prefix {
color: #4f5b6d;
font-family: var(--font-monospace, monospace);
white-space: nowrap;
}
.query-create-url-control input[type=text] {
border: 1px solid #ccc;
border-radius: 3px;
}
.query-create-field textarea {
border: 1px solid #ccc;
border-radius: 3px;
display: block;
font-family: Helvetica, sans-serif;
font-size: 1em;
min-height: 5rem;
padding: 9px 4px;
resize: vertical;
}
form.sql .query-create-sql {
column-gap: var(--query-create-column-gap);
display: grid;
grid-template-columns: var(--query-create-label-width) var(--query-create-control-width);
margin: 0.9rem 0 0.75rem;
max-width: 52rem;
}
.query-create-sql .cm-editor,
form.sql .query-create-sql textarea#sql-editor {
grid-column: 2;
width: 100%;
}
.query-create-options {
align-items: center;
display: flex;
flex-wrap: wrap;
gap: 0.8rem 1.4rem;
margin: 0 0 0.9rem calc(var(--query-create-label-width) + var(--query-create-column-gap));
max-width: calc(52rem - var(--query-create-label-width) - var(--query-create-column-gap));
}
.query-create-options label {
align-items: center;
display: inline-flex;
gap: 0.35rem;
width: auto;
}
.query-create-options input[type=checkbox] {
margin: 0;
}
.query-create-option-note,
.query-create-analysis-note {
color: #4f5b6d;
flex-basis: 100%;
font-size: 0.82rem;
}
.query-create-option-note {
margin: -0.45rem 0 0;
}
.query-create-analysis-note {
margin: 0;
}
.query-create-action {
margin: 0.35rem 0 1rem;
}
.query-create-analysis {
margin-top: 0.8rem;
}
.query-create-submit {
margin-left: calc(var(--query-create-label-width) + var(--query-create-column-gap));
margin-bottom: 0.9rem;
margin-top: 1rem;
}
@media (max-width: 560px) {
.query-create-form {
--query-create-label-width: 1fr;
--query-create-column-gap: 0;
}
.query-create-field {
grid-template-columns: 1fr;
row-gap: 0.25rem;
}
.query-create-field label {
padding-top: 0;
}
form.sql .query-create-sql {
grid-template-columns: 1fr;
}
.query-create-sql .cm-editor,
form.sql .query-create-sql textarea#sql-editor {
grid-column: 1;
}
.query-create-options,
.query-create-submit {
margin-left: 0;
}
}
</style>
{% endblock %}
{% block body_class %}query-create db-{{ database|to_css_class }}{% endblock %}
{% block crumbs %}
{{ crumbs.nav(request=request, database=database) }}
{% endblock %}
{% block content %}
<div class="query-create-page">
<h1 style="padding-left: 10px; border-left: 10px solid #{{ database_color }}">Create query</h1>
<form class="sql core query-create-form" action="{{ urls.database(database) }}/-/queries/store" method="post" data-analyze-url="{{ urls.database(database) }}/-/queries/analyze">
<div class="query-create-fields">
<p class="query-create-field"><label for="query-title">Title</label> <input id="query-title" name="title" type="text" value="{{ title or "" }}"></p>
<p class="query-create-field"><label for="query-url-slug">URL</label> <span class="query-create-url-control"><span class="query-create-url-prefix">{{ urls.database(database) }}/</span><input id="query-url-slug" name="name" type="text" value="{{ name or "" }}"></span></p>
<p class="query-create-field"><label for="query-description">Description</label> <textarea id="query-description" name="description" rows="3">{{ description or "" }}</textarea></p>
</div>
<p class="query-create-sql sql-editor"><textarea id="sql-editor" name="sql"{% if sql %} style="height: {{ sql.split("\n")|length + 2 }}em"{% endif %}>{{ sql }}</textarea></p>
<p class="query-create-options">
<span class="query-create-analysis-note" data-query-create-analysis-note aria-live="polite">{% if analysis_error %}This query cannot be saved until the SQL is valid.{% elif not has_sql %}Enter SQL to analyze this query.{% elif analysis_is_write %}This query updates data in the database.{% else %}This is a read-only query.{% endif %}</span>
<input type="hidden" name="is_private" value="0">
<label><input type="checkbox" name="is_private" value="1"{% if is_private %} checked{% endif %}> Private</label>
<span class="query-create-option-note">Queries marked private can only be seen by you, their creator.</span>
</p>
{% if sql and analysis_is_write %}
<p class="query-create-action"><a href="{{ urls.database(database) }}/-/execute-write?{{ {'sql': sql}|urlencode|safe }}">Execute write SQL</a></p>
{% endif %}
<p class="query-create-submit"><input type="submit" value="Save query" data-query-create-submit{% if save_disabled %} disabled{% endif %}></p>
<div class="query-create-analysis" id="query-create-analysis-section"{% if not has_sql %} hidden{% endif %}>
{% if has_sql %}
<h2>Query operations</h2>
{% if analysis_error %}
<p class="message-error">{{ analysis_error }}</p>
{% elif analysis_rows %}
<div class="table-wrapper"><table class="execute-write-analysis">
<thead>
<tr>
<th scope="col">Operation</th>
<th scope="col">Database</th>
<th scope="col">Table</th>
<th scope="col">Required permission</th>
<th scope="col">Allowed</th>
</tr>
</thead>
<tbody>
{% for row in analysis_rows %}
<tr>
<td><code>{{ row.operation }}</code></td>
<td><code>{{ row.database }}</code></td>
<td><code>{{ row.table }}</code></td>
<td>{% if row.required_permission %}<code>{{ row.required_permission }}</code>{% else %}<span class="execute-write-analysis-na">n/a</span>{% endif %}</td>
<td>{% if row.allowed is none %}<span class="execute-write-analysis-na">n/a</span>{% elif row.allowed %}<span class="execute-write-analysis-allowed">yes</span>{% else %}<span class="execute-write-analysis-denied">no</span>{% endif %}</td>
</tr>
{% endfor %}
</tbody>
</table></div>
{% else %}
<p>Analysis will show each affected table and required permission.</p>
{% endif %}
{% endif %}
</div>
</form>
</div>
{% include "_codemirror_foot.html" %}
{% include "_sql_parameter_scripts.html" %}
{% include "_execute_write_analysis_scripts.html" %}
<script>
window.addEventListener("DOMContentLoaded", () => {
const titleInput = document.querySelector("#query-title");
const urlInput = document.querySelector("#query-url-slug");
let urlEdited = Boolean(urlInput && urlInput.value);
function slugify(value) {
return value
.normalize("NFKD")
.replace(/[\u0300-\u036f]/g, "")
.toLowerCase()
.trim()
.replace(/[^a-z0-9_-]+/g, "-")
.replace(/-+/g, "-")
.replace(/^-|-$/g, "");
}
if (titleInput && urlInput) {
titleInput.addEventListener("input", () => {
if (!urlEdited) {
urlInput.value = slugify(titleInput.value);
}
});
urlInput.addEventListener("input", () => {
urlEdited = true;
});
}
});
</script>
<script>
window.addEventListener("DOMContentLoaded", () => {
const form = document.querySelector("form.sql.core");
const analysisSection = document.querySelector("#query-create-analysis-section");
const submitButton = form
? form.querySelector("[data-query-create-submit]")
: null;
const analysisNote = form
? form.querySelector("[data-query-create-analysis-note]")
: null;
function updateAnalysisNote(data) {
if (!analysisNote) {
return;
}
if (data.analysis_error) {
analysisNote.textContent = "This query cannot be saved until the SQL is valid.";
} else if (data.has_sql === false) {
analysisNote.textContent = "Enter SQL to analyze this query.";
} else if (data.analysis_is_write) {
analysisNote.textContent = "This query updates data in the database.";
} else {
analysisNote.textContent = "This is a read-only query.";
}
}
window.datasetteSqlParameters.setupSqlParameterRefresh({
form,
url: form.dataset.analyzeUrl,
renderParameters: false,
onData(data) {
window.datasetteSqlAnalysis.renderAnalysis(analysisSection, data);
if (submitButton) {
submitButton.disabled = data.save_disabled;
}
updateAnalysisNote(data);
},
onError(error) {
window.datasetteSqlAnalysis.renderAnalysis(analysisSection, {
analysis_error: error.message,
analysis_rows: [],
});
if (submitButton) {
submitButton.disabled = true;
}
updateAnalysisNote({ analysis_error: error.message });
},
});
});
</script>
{% endblock %}

View file

@ -1,281 +0,0 @@
{% extends "base.html" %}
{% block title %}{% if database %}{{ database }}: {% endif %}queries{% endblock %}
{% block extra_head %}
{{- super() -}}
<style>
.query-list-page {
max-width: 64rem;
}
.query-list-filters {
margin: 0.5rem 0 0.75rem;
}
.query-list-search {
align-items: center;
display: flex;
flex-wrap: wrap;
gap: 0.45rem;
margin: 0 0 0.75rem;
}
.query-list-search label {
width: auto;
}
.query-list-search input[type=search] {
box-sizing: border-box;
flex: 1 1 18rem;
max-width: 24rem;
}
.query-list-search button[type=submit] {
font-size: 0.78rem;
height: 2rem;
line-height: 1.1;
padding: 0.35rem 0.65rem;
}
.query-list-facets {
align-items: flex-start;
display: flex;
flex-wrap: wrap;
gap: 1rem 1.6rem;
margin: 0 0 1rem;
}
.query-list-facet {
margin: 0;
}
.query-list-facet h2 {
font-size: 0.9rem;
line-height: 1.2;
margin: 0 0 0.35rem;
}
.query-list-facet ul {
display: flex;
flex-wrap: wrap;
gap: 0.35rem;
margin: 0;
padding: 0;
list-style: none;
}
.query-list-facet-link,
.query-list-facet-link:link,
.query-list-facet-link:visited,
.query-list-facet-link:hover,
.query-list-facet-link:focus,
.query-list-facet-link:active {
align-items: center;
border: 1px solid #c8d1dc;
border-radius: 0.25rem;
color: #39445a;
display: inline-flex;
font-size: 0.82rem;
gap: 0.4rem;
line-height: 1.1;
padding: 0.35rem 0.55rem;
text-decoration: none;
}
.query-list-facet-link:hover {
border-color: #7ca5c8;
color: #1f5d85;
}
.query-list-facet-link-active {
background-color: #edf6fb;
border-color: #6d9fc0;
font-weight: 700;
}
.query-list-facet-disabled {
color: #7b8794;
cursor: default;
}
.query-list-facet-count {
color: #4f5b6d;
font-variant-numeric: tabular-nums;
}
.query-list-results {
border-collapse: collapse;
font-size: 0.9rem;
margin: 0.25rem 0 1rem;
min-width: 42rem;
width: 100%;
}
.query-list-results th,
.query-list-results td {
border-bottom: 1px solid #d7dde5;
padding: 0.45rem 0.7rem;
text-align: left;
vertical-align: top;
}
.query-list-results th {
background-color: #edf6fb;
border-top: 1px solid #d7dde5;
color: #39445a;
font-weight: 700;
}
.query-list-results tbody tr:nth-child(even) {
background-color: rgba(39, 104, 144, 0.05);
}
.query-list-results a.query-list-title {
font-weight: 700;
}
.query-list-description {
color: #4f5b6d;
font-size: 0.78rem;
margin: 0.15rem 0 0;
}
.query-list-owner {
color: #39445a;
font-family: var(--font-monospace, monospace);
white-space: nowrap;
}
.query-list-flags {
display: flex;
flex-wrap: wrap;
gap: 0.3rem;
}
.query-list-pill {
background-color: #eef1f5;
border: 1px solid #d7dde5;
border-radius: 0.25rem;
color: #39445a;
display: inline-block;
font-size: 0.75rem;
font-weight: 700;
line-height: 1;
padding: 0.25rem 0.4rem;
white-space: nowrap;
}
.query-list-pill-write {
background-color: #fff4db;
border-color: #e2b64e;
}
.query-list-pill-public {
background-color: #e7f5ec;
border-color: #9ecfab;
color: #267a3e;
}
.query-list-pill-private {
background-color: #f7edf0;
border-color: #dbb8c1;
}
.query-list-pill-trusted {
background-color: #e7f5ec;
border-color: #9ecfab;
color: #267a3e;
}
.query-list-empty {
color: #6b7280;
}
.query-list-footnotes {
border-top: 1px solid #d7dde5;
color: #4f5b6d;
font-size: 0.82rem;
margin: 0.35rem 0 1rem;
padding-top: 0.55rem;
}
.query-list-footnotes p {
margin: 0.25rem 0;
}
.query-list-footnotes .query-list-pill {
margin-right: 0.35rem;
}
.query-list-pagination a {
border: 1px solid #007bff;
border-radius: 0.25rem;
display: inline-block;
padding: 0.45rem 0.7rem;
}
.query-list-pagination-bottom {
margin-top: 0.75rem;
}
@media (max-width: 700px) {
.query-list-search input[type=search] {
max-width: none;
}
}
</style>
{% endblock %}
{% block body_class %}query-list{% if database %} db-{{ database|to_css_class }}{% endif %}{% endblock %}
{% block crumbs %}
{{ crumbs.nav(request=request, database=database) }}
{% endblock %}
{% block content %}
<div class="query-list-page">
<h1 style="padding-left: 10px; border-left: 10px solid #{% if database_color %}{{ database_color }}{% else %}666{% endif %}">Queries</h1>
<form class="query-list-filters core" action="{{ query_list_path }}" method="get">
<p class="query-list-search">
<label for="query-search">Search</label>
<input id="query-search" type="search" name="q" value="{{ filters.q }}">
{% if filters.is_write %}<input type="hidden" name="is_write" value="{{ filters.is_write }}">{% endif %}
{% if filters.is_private %}<input type="hidden" name="is_private" value="{{ filters.is_private }}">{% endif %}
{% if filters.source %}<input type="hidden" name="source" value="{{ filters.source }}">{% endif %}
{% if filters.owner_id %}<input type="hidden" name="owner_id" value="{{ filters.owner_id }}">{% endif %}
<button type="submit">Search</button>
</p>
</form>
<nav class="query-list-facets" aria-label="Query filters">
{% for facet in facets %}
<section class="query-list-facet">
<h2>{{ facet.title }}</h2>
<ul>
{% for item in facet["items"] %}
<li>{% if item.href %}<a class="query-list-facet-link{% if item.active %} query-list-facet-link-active{% endif %}" href="{{ item.href }}"{% if item.active %} aria-current="true"{% endif %}>{% else %}<span class="query-list-facet-link query-list-facet-disabled">{% endif %}<span>{{ item.label }}</span><span class="query-list-facet-count">{{ item.count }}</span>{% if item.href %}</a>{% else %}</span>{% endif %}</li>
{% endfor %}
</ul>
</section>
{% endfor %}
</nav>
{% if queries %}
<div class="table-wrapper"><table class="query-list-results">
<thead>
<tr>
{% if show_database %}<th scope="col">Database</th>{% endif %}
<th scope="col">Query</th>
<th scope="col">Owner</th>
<th scope="col">Flags</th>
</tr>
</thead>
<tbody>
{% for query in queries %}
<tr>
{% if show_database %}
<td><a class="query-list-database" href="{{ urls.database(query.database) }}">{{ query.database }}</a></td>
{% endif %}
<td>
<a class="query-list-title" href="{{ urls.query(query.database, query.name) }}{% if query.fragment %}#{{ query.fragment }}{% endif %}" title="{{ query.description or query.sql }}">{{ query.title or query.name }}</a>{% if query.private %} 🔒{% endif %}
{% if query.description %}<p class="query-list-description">{{ query.description }}</p>{% endif %}
</td>
<td class="query-list-owner">{% if query.owner_id is not none %}{{ query.owner_id }}{% else %}<span class="query-list-empty">-</span>{% endif %}</td>
<td>
<span class="query-list-flags">
{% if query.is_write %}<span class="query-list-pill query-list-pill-write">Writable</span>{% else %}<span class="query-list-pill">Read-only</span>{% endif %}
{% if query.is_private %}<span class="query-list-pill query-list-pill-private">Private</span>{% endif %}
{% if query.is_trusted %}<span class="query-list-pill query-list-pill-trusted">Trusted</span>{% endif %}
</span>
</td>
</tr>
{% endfor %}
</tbody>
</table></div>
{% if show_private_note or show_trusted_note %}
<div class="query-list-footnotes">
{% if show_private_note %}<p><span class="query-list-pill query-list-pill-private">Private</span>Only the owning actor can view this query.</p>{% endif %}
{% if show_trusted_note %}<p><span class="query-list-pill query-list-pill-trusted">Trusted</span>Execution skips the usual SQL and write permission checks after view-query allows access.</p>{% endif %}
</div>
{% endif %}
{% else %}
<p>No queries found.</p>
{% endif %}
{% if next_url %}
<nav class="query-list-pagination query-list-pagination-bottom" aria-label="Query pagination"><a href="{{ next_url }}">Next page</a></nav>
{% endif %}
</div>
{% endblock %}

View file

@ -4,9 +4,7 @@
{% block extra_head %}
{{- super() -}}
<script src="{{ urls.static('column-chooser.js') }}" defer></script>
<script src="{{ urls.static('table.js') }}" defer></script>
<script src="{{ urls.static('mobile-column-actions.js') }}" defer></script>
<script>DATASETTE_ALLOW_FACET = {{ datasette_allow_facet }};</script>
<style>
@media only screen and (max-width: 576px) {
@ -138,26 +136,6 @@
{% include "_facet_results.html" %}
{% endif %}
{% if all_columns %}
<column-chooser></column-chooser>
<button class="choose-columns-mobile small-screen-only" onclick="openColumnChooser()">Choose columns</button>
<button type="button" class="column-actions-mobile small-screen-only">
<svg aria-hidden="true" xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
<circle cx="12" cy="12" r="3"></circle>
<path d="M19.4 15a1.65 1.65 0 0 0 .33 1.82l.06.06a2 2 0 0 1 0 2.83 2 2 0 0 1-2.83 0l-.06-.06a1.65 1.65 0 0 0-1.82-.33 1.65 1.65 0 0 0-1 1.51V21a2 2 0 0 1-2 2 2 2 0 0 1-2-2v-.09A1.65 1.65 0 0 0 9 19.4a1.65 1.65 0 0 0-1.82.33l-.06.06a2 2 0 0 1-2.83 0 2 2 0 0 1 0-2.83l.06-.06a1.65 1.65 0 0 0 .33-1.82 1.65 1.65 0 0 0-1.51-1H3a2 2 0 0 1-2-2 2 2 0 0 1 2-2h.09A1.65 1.65 0 0 0 4.6 9a1.65 1.65 0 0 0-.33-1.82l-.06-.06a2 2 0 0 1 0-2.83 2 2 0 0 1 2.83 0l.06.06a1.65 1.65 0 0 0 1.82.33H9a1.65 1.65 0 0 0 1-1.51V3a2 2 0 0 1 2-2 2 2 0 0 1 2 2v.09a1.65 1.65 0 0 0 1 1.51 1.65 1.65 0 0 0 1.82-.33l.06-.06a2 2 0 0 1 2.83 0 2 2 0 0 1 0 2.83l-.06.06a1.65 1.65 0 0 0-.33 1.82V9a1.65 1.65 0 0 0 1.51 1H21a2 2 0 0 1 2 2 2 2 0 0 1-2 2h-.09a1.65 1.65 0 0 0-1.51 1z"></path>
</svg>
<span>Column actions</span>
</button>
<script>
window._columnChooserData = {{ {"allColumns": all_columns, "selectedColumns": display_columns|map(attribute='name')|list, "primaryKeys": primary_keys}|tojson }};
</script>
{% endif %}
{% if set_column_type_ui %}
<script>
window._setColumnTypeData = {{ set_column_type_ui|tojson }};
</script>
{% endif %}
{% include custom_table_templates %}
{% if next_url %}

View file

@ -1,193 +0,0 @@
"""
Token handler system for Datasette.
Provides a base class for token handlers and the default signed token handler.
Plugins can implement register_token_handler to provide custom token backends
(e.g. database-backed tokens that can be revoked and audited).
"""
from __future__ import annotations
import dataclasses
import time
from typing import TYPE_CHECKING, Optional
import itsdangerous
if TYPE_CHECKING:
from datasette.app import Datasette
@dataclasses.dataclass
class TokenRestrictions:
"""
Restrictions to apply to a token, limiting which actions it can perform.
Use the builder methods to construct restrictions::
restrictions = (TokenRestrictions()
.allow_all("view-instance")
.allow_database("mydb", "create-table")
.allow_resource("mydb", "mytable", "insert-row"))
"""
all: list[str] = dataclasses.field(default_factory=list)
database: dict[str, list[str]] = dataclasses.field(default_factory=dict)
resource: dict[str, dict[str, list[str]]] = dataclasses.field(default_factory=dict)
def allow_all(self, action: str) -> "TokenRestrictions":
"""Allow an action across all databases and resources."""
self.all.append(action)
return self
def allow_database(self, database: str, action: str) -> "TokenRestrictions":
"""Allow an action on a specific database."""
self.database.setdefault(database, []).append(action)
return self
def allow_resource(
self, database: str, resource: str, action: str
) -> "TokenRestrictions":
"""Allow an action on a specific resource within a database."""
self.resource.setdefault(database, {}).setdefault(resource, []).append(action)
return self
def abbreviated(self, datasette: "Datasette") -> Optional[dict]:
"""
Return the abbreviated ``_r`` dictionary shape for this set of
restrictions, using action abbreviations registered with ``datasette``.
Returns ``None`` if no restrictions are set.
"""
if not (self.all or self.database or self.resource):
return None
def abbreviate_action(action):
action_obj = datasette.actions.get(action)
if not action_obj:
return action
return action_obj.abbr or action
result: dict = {}
if self.all:
result["a"] = [abbreviate_action(a) for a in self.all]
if self.database:
result["d"] = {
database: [abbreviate_action(a) for a in actions]
for database, actions in self.database.items()
}
if self.resource:
result["r"] = {}
for database, resources in self.resource.items():
for resource, actions in resources.items():
result["r"].setdefault(database, {})[resource] = [
abbreviate_action(a) for a in actions
]
return result
class TokenHandler:
"""
Base class for token handlers.
Subclass this and implement create_token() and verify_token() to provide
a custom token backend. Return an instance from the register_token_handler hook.
"""
name: str = ""
async def create_token(
self,
datasette: "Datasette",
actor_id: str,
*,
expires_after: Optional[int] = None,
restrictions: Optional[TokenRestrictions] = None,
) -> str:
"""Create and return a token string for the given actor."""
raise NotImplementedError
async def verify_token(self, datasette: "Datasette", token: str) -> Optional[dict]:
"""
Verify a token and return an actor dict, or None if this handler
does not recognize the token.
"""
raise NotImplementedError
class SignedTokenHandler(TokenHandler):
"""
Default token handler using itsdangerous signed tokens (dstok_ prefix).
"""
name = "signed"
async def create_token(
self,
datasette: "Datasette",
actor_id: str,
*,
expires_after: Optional[int] = None,
restrictions: Optional[TokenRestrictions] = None,
) -> str:
if not datasette.setting("allow_signed_tokens"):
raise ValueError(
"Signed tokens are not enabled for this Datasette instance"
)
token = {"a": actor_id, "t": int(time.time())}
if expires_after:
token["d"] = expires_after
if restrictions is not None:
abbreviated = restrictions.abbreviated(datasette)
if abbreviated is not None:
token["_r"] = abbreviated
return "dstok_{}".format(datasette.sign(token, namespace="token"))
async def verify_token(self, datasette: "Datasette", token: str) -> Optional[dict]:
prefix = "dstok_"
if not datasette.setting("allow_signed_tokens"):
return None
max_signed_tokens_ttl = datasette.setting("max_signed_tokens_ttl")
if not token.startswith(prefix):
return None
raw = token[len(prefix) :]
try:
decoded = datasette.unsign(raw, namespace="token")
except itsdangerous.BadSignature:
return None
if "t" not in decoded:
return None
created = decoded["t"]
if not isinstance(created, int):
return None
duration = decoded.get("d")
if duration is not None and not isinstance(duration, int):
return None
if (duration is None and max_signed_tokens_ttl) or (
duration is not None
and max_signed_tokens_ttl
and duration > max_signed_tokens_ttl
):
duration = max_signed_tokens_ttl
if duration:
if time.time() - created > duration:
return None
actor = {"id": decoded["a"], "token": "dstok"}
if "_r" in decoded:
actor["_r"] = decoded["_r"]
if duration:
actor["token_expires"] = created + duration
return actor

View file

@ -155,15 +155,9 @@ Column = namedtuple(
functions_marked_as_documented = []
def documented(fn=None, *, label=None):
def decorate(fn):
fn._datasette_docs_label = label or "internals_utils_{}".format(fn.__name__)
functions_marked_as_documented.append(fn)
return fn
if fn is None:
return decorate
return decorate(fn)
def documented(fn):
functions_marked_as_documented.append(fn)
return fn
@documented
@ -687,18 +681,13 @@ def detect_fts_sql(table):
def detect_json1(conn=None):
close_conn = False
if conn is None:
conn = sqlite3.connect(":memory:")
close_conn = True
try:
conn.execute("SELECT json('{}')")
return True
except Exception:
return False
finally:
if close_conn:
conn.close()
def table_columns(conn, table):
@ -1097,35 +1086,12 @@ def _gather_arguments(fn, kwargs):
return call_with
@documented
def call_with_supported_arguments(fn, **kwargs):
"""
Call ``fn`` with the subset of ``**kwargs`` matching its signature.
This implements dependency injection: the caller provides all available
keyword arguments and the function receives only the ones it declares
as parameters.
:param fn: A callable (sync function)
:param kwargs: All available keyword arguments
:returns: The return value of ``fn``
"""
call_with = _gather_arguments(fn, kwargs)
return fn(*call_with)
@documented
async def async_call_with_supported_arguments(fn, **kwargs):
"""
Async version of :func:`call_with_supported_arguments`.
Calls ``await fn(...)`` with the subset of ``**kwargs`` matching its
signature.
:param fn: An async callable
:param kwargs: All available keyword arguments
:returns: The return value of ``await fn(...)``
"""
call_with = _gather_arguments(fn, kwargs)
return await fn(*call_with)

View file

@ -147,9 +147,7 @@ async def _build_single_action_sql(
raise ValueError(f"Unknown action: {action}")
# Get base resources SQL from the resource class
base_resources_sql = await action_obj.resource_class.resources_sql(
datasette, actor=actor
)
base_resources_sql = await action_obj.resource_class.resources_sql(datasette)
permission_sqls = await gather_permission_sql_from_hooks(
datasette=datasette,
@ -241,14 +239,6 @@ async def _build_single_action_sql(
"),",
]
)
else:
query_parts.extend(
[
"anon_rules AS (",
" SELECT NULL AS parent, NULL AS child, 0 AS allow, NULL AS reason WHERE 0",
"),",
]
)
# Continue with the cascading logic
query_parts.extend(

View file

@ -103,37 +103,6 @@ async def initialize_metadata_tables(db):
value text,
unique(database_name, resource_name, column_name, key)
);
CREATE TABLE IF NOT EXISTS column_types (
database_name TEXT NOT NULL,
resource_name TEXT NOT NULL,
column_name TEXT NOT NULL,
column_type TEXT NOT NULL,
config TEXT,
PRIMARY KEY (database_name, resource_name, column_name)
);
CREATE TABLE IF NOT EXISTS queries (
database_name TEXT NOT NULL,
name TEXT NOT NULL,
sql TEXT NOT NULL,
title TEXT,
description TEXT,
description_html TEXT,
options TEXT NOT NULL DEFAULT '{}',
parameters TEXT NOT NULL DEFAULT '[]',
is_write INTEGER NOT NULL DEFAULT 0 CHECK (is_write IN (0, 1)),
is_private INTEGER NOT NULL DEFAULT 0 CHECK (is_private IN (0, 1)),
is_trusted INTEGER NOT NULL DEFAULT 0 CHECK (is_trusted IN (0, 1)),
source TEXT NOT NULL DEFAULT 'user',
owner_id TEXT,
created_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP,
updated_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (database_name, name)
);
CREATE INDEX IF NOT EXISTS queries_owner_idx
ON queries(owner_id);
"""))

View file

@ -1,99 +0,0 @@
from dataclasses import dataclass
from typing import Literal
from datasette.utils.sqlite import sqlite3
SQLTableOperation = Literal["read", "insert", "update", "delete"]
@dataclass(frozen=True)
class SQLTableAccess:
operation: SQLTableOperation
database: str | None
table: str
sqlite_schema: str | None
columns: tuple[str, ...] = ()
source: str | None = None
@dataclass(frozen=True)
class SQLAnalysis:
table_accesses: tuple[SQLTableAccess, ...]
_ACTION_TO_OPERATION: dict[int, SQLTableOperation] = {
sqlite3.SQLITE_READ: "read",
sqlite3.SQLITE_INSERT: "insert",
sqlite3.SQLITE_UPDATE: "update",
sqlite3.SQLITE_DELETE: "delete",
}
def analyze_sql_tables(
conn,
sql: str,
params=None,
*,
database_name: str | None = None,
schema_to_database: dict[str, str] | None = None,
) -> SQLAnalysis:
"""
Return tables accessed by a SQL statement according to SQLite's authorizer.
This function is synchronous and connection-based. It temporarily installs a
SQLite authorizer, prepares ``EXPLAIN <sql>``, and returns the table access
callbacks observed while SQLite compiles the statement.
"""
accesses: dict[
tuple[SQLTableOperation, str | None, str, str | None, str | None], set[str]
] = {}
def database_for_schema(sqlite_schema):
if schema_to_database and sqlite_schema in schema_to_database:
return schema_to_database[sqlite_schema]
if sqlite_schema == "main" and database_name is not None:
return database_name
return sqlite_schema
def authorizer(action, arg1, arg2, sqlite_schema, source):
operation = _ACTION_TO_OPERATION.get(action)
if operation is None or arg1 is None:
return sqlite3.SQLITE_OK
key = (
operation,
database_for_schema(sqlite_schema),
arg1,
sqlite_schema,
source,
)
columns = accesses.setdefault(key, set())
if operation in ("read", "update") and arg2 is not None:
columns.add(arg2)
return sqlite3.SQLITE_OK
conn.set_authorizer(authorizer)
try:
conn.execute("EXPLAIN " + sql, params if params is not None else {}).fetchall()
finally:
conn.set_authorizer(None)
return SQLAnalysis(
table_accesses=tuple(
SQLTableAccess(
operation=operation,
database=database,
table=table,
sqlite_schema=sqlite_schema,
columns=tuple(sorted(columns)),
source=source,
)
for (
operation,
database,
table,
sqlite_schema,
source,
), columns in accesses.items()
)
)

View file

@ -20,16 +20,15 @@ def sqlite_version():
def _sqlite_version():
conn = sqlite3.connect(":memory:")
try:
return tuple(
map(
int,
conn.execute("select sqlite_version()").fetchone()[0].split("."),
)
return tuple(
map(
int,
sqlite3.connect(":memory:")
.execute("select sqlite_version()")
.fetchone()[0]
.split("."),
)
finally:
conn.close()
)
def supports_table_xinfo():

View file

@ -95,8 +95,15 @@ class TestClient:
cookies = cookies or {}
post_data = post_data or {}
assert not (post_data and body), "Provide one or other of body= or post_data="
# csrftoken_from is accepted for backward compatibility but is now a no-op.
# Datasette no longer uses CSRF tokens - see CrossOriginProtectionMiddleware.
# Maybe fetch a csrftoken first
if csrftoken_from is not None:
assert body is None, "body= is not compatible with csrftoken_from="
if csrftoken_from is True:
csrftoken_from = path
token_response = await self._request(csrftoken_from, cookies=cookies)
csrftoken = token_response.cookies["ds_csrftoken"]
cookies["ds_csrftoken"] = csrftoken
post_data["csrftoken"] = csrftoken
if post_data:
body = urlencode(post_data, doseq=True)
return await self._request(

View file

@ -1,2 +1,2 @@
__version__ = "1.0a30"
__version__ = "1.0a24"
__version_info__ = tuple(__version__.split("."))

View file

@ -13,7 +13,6 @@ import textwrap
from datasette.events import AlterTableEvent, CreateTableEvent, InsertRowsEvent
from datasette.database import QueryInterrupted
from datasette.resources import DatabaseResource, QueryResource
from datasette.stored_queries import stored_query_to_dict
from datasette.utils import (
add_cors_headers,
await_me_maybe,
@ -36,7 +35,6 @@ from datasette.utils.asgi import AsgiFileDownload, NotFound, Response, Forbidden
from datasette.plugins import pm
from .base import BaseView, DatasetteError, View, _error, stream_csv
from .query_helpers import _ensure_stored_query_execution_permissions, _table_columns
from . import Context
@ -63,10 +61,8 @@ class DatabaseView(View):
if request.url_vars.get("format"):
redirect_url += "." + request.url_vars.get("format")
redirect_url += "?" + request.query_string
response = Response.redirect(redirect_url)
if datasette.cors:
add_cors_headers(response.headers)
return response
return Response.redirect(redirect_url)
return await QueryView()(request, datasette)
if format_ not in ("html", "json"):
raise NotFound("Invalid format: {}".format(format_))
@ -94,20 +90,25 @@ class DatabaseView(View):
tables = await get_tables(datasette, request, db, allowed_dict)
queries_page = await datasette.list_queries(
database,
actor=request.actor,
limit=5,
include_private=True,
)
stored_queries = queries_page.queries
queries_more = queries_page.has_more
queries_count = (
await datasette.count_queries(database, actor=request.actor)
if queries_more
else len(stored_queries)
# Get allowed queries using the new permission system
allowed_query_page = await datasette.allowed_resources(
"view-query",
request.actor,
parent=database,
include_is_private=True,
limit=1000,
)
# Build canned_queries list by looking up each allowed query
all_queries = await datasette.get_canned_queries(database, request.actor)
canned_queries = []
for query_resource in allowed_query_page.resources:
query_name = query_resource.child
if query_name in all_queries:
canned_queries.append(
dict(all_queries[query_name], private=query_resource.private)
)
async def database_actions():
links = []
for hook in pm.hook.database_actions(
@ -129,7 +130,6 @@ class DatabaseView(View):
actor=request.actor,
)
json_data = {
"ok": True,
"database": database,
"private": private,
"path": datasette.urls.database(database),
@ -137,9 +137,7 @@ class DatabaseView(View):
"tables": tables,
"hidden_count": len([t for t in tables if t["hidden"]]),
"views": sql_views,
"queries": [stored_query_to_dict(query) for query in stored_queries],
"queries_more": queries_more,
"queries_count": queries_count,
"queries": canned_queries,
"allow_execute_sql": allow_execute_sql,
"table_columns": (
await _table_columns(datasette, database) if allow_execute_sql else {}
@ -172,9 +170,7 @@ class DatabaseView(View):
tables=tables,
hidden_count=len([t for t in tables if t["hidden"]]),
views=sql_views,
queries=stored_queries,
queries_more=queries_more,
queries_count=queries_count,
queries=canned_queries,
allow_execute_sql=allow_execute_sql,
table_columns=(
await _table_columns(datasette, database)
@ -222,11 +218,7 @@ class DatabaseContext(Context):
tables: list = field(metadata={"help": "List of table objects in the database"})
hidden_count: int = field(metadata={"help": "Count of hidden tables"})
views: list = field(metadata={"help": "List of view objects in the database"})
queries: list = field(metadata={"help": "List of stored query objects"})
queries_more: bool = field(
metadata={"help": "Boolean indicating if more stored queries are available"}
)
queries_count: int = field(metadata={"help": "Count of visible stored queries"})
queries: list = field(metadata={"help": "List of canned query objects"})
allow_execute_sql: bool = field(
metadata={"help": "Boolean indicating if custom SQL can be executed"}
)
@ -271,8 +263,8 @@ class QueryContext(Context):
query: dict = field(
metadata={"help": "The SQL query object containing the `sql` string"}
)
stored_query: str = field(
metadata={"help": "The name of the stored query if this is a stored query"}
canned_query: str = field(
metadata={"help": "The name of the canned query if this is a canned query"}
)
private: bool = field(
metadata={"help": "Boolean indicating if this is a private database"}
@ -280,13 +272,13 @@ class QueryContext(Context):
# urls: dict = field(
# metadata={"help": "Object containing URL helpers like `database()`"}
# )
stored_query_write: bool = field(
canned_query_write: bool = field(
metadata={
"help": "Boolean indicating if this is a stored query that allows writes"
"help": "Boolean indicating if this is a canned query that allows writes"
}
)
metadata: dict = field(
metadata={"help": "Metadata about the database or the stored query"}
metadata={"help": "Metadata about the database or the canned query"}
)
db_is_immutable: bool = field(
metadata={"help": "Boolean indicating if this database is immutable"}
@ -307,15 +299,12 @@ class QueryContext(Context):
allow_execute_sql: bool = field(
metadata={"help": "Boolean indicating if custom SQL can be executed"}
)
save_query_url: str = field(
metadata={"help": "URL to save the current arbitrary SQL as a query"}
)
tables: list = field(metadata={"help": "List of table objects in the database"})
named_parameter_values: dict = field(
metadata={"help": "Dictionary of parameter names/values"}
)
edit_sql_url: str = field(
metadata={"help": "URL to edit the SQL for a stored query"}
metadata={"help": "URL to edit the SQL for a canned query"}
)
display_rows: list = field(metadata={"help": "List of result rows to display"})
columns: list = field(metadata={"help": "List of column names"})
@ -339,8 +328,8 @@ class QueryContext(Context):
top_query: callable = field(
metadata={"help": "Callable to render the top_query slot"}
)
top_stored_query: callable = field(
metadata={"help": "Callable to render the top_stored_query slot"}
top_canned_query: callable = field(
metadata={"help": "Callable to render the top_canned_query slot"}
)
query_actions: callable = field(
metadata={
@ -431,32 +420,21 @@ class QueryView(View):
db = await datasette.resolve_database(request)
# We must be a stored query
# We must be a canned query
table_found = False
try:
await datasette.resolve_table(request)
table_found = True
except TableNotFound as table_not_found:
stored_query = await datasette.get_query(
table_not_found.database_name, table_not_found.table
canned_query = await datasette.get_canned_query(
table_not_found.database_name, table_not_found.table, request.actor
)
if stored_query is None:
if canned_query is None:
raise
if table_found:
# That should not have happened
raise DatasetteError("Unexpected table found on POST", status=404)
if not await datasette.allowed(
action="view-query",
resource=QueryResource(database=db.name, query=stored_query.name),
actor=request.actor,
):
raise Forbidden("You do not have permission to view this query")
await _ensure_stored_query_execution_permissions(
datasette, db, stored_query, request.actor
)
# If database is immutable, return an error
if not db.is_mutable:
raise Forbidden("Database is immutable")
@ -481,18 +459,20 @@ class QueryView(View):
or request.args.get("_json")
or params.get("_json")
)
params_for_query = MagicParameters(stored_query.sql, params, request, datasette)
params_for_query = MagicParameters(
canned_query["sql"], params, request, datasette
)
await params_for_query.execute_params()
ok = None
redirect_url = None
try:
cursor = await db.execute_write(
stored_query.sql, params_for_query, request=request
canned_query["sql"], params_for_query, request=request
)
# success message can come from on_success_message or on_success_message_sql
message = None
message_type = datasette.INFO
on_success_message_sql = stored_query.on_success_message_sql
on_success_message_sql = canned_query.get("on_success_message_sql")
if on_success_message_sql:
try:
message_result = (
@ -504,19 +484,18 @@ class QueryView(View):
message = "Error running on_success_message_sql: {}".format(ex)
message_type = datasette.ERROR
if not message:
message = (
stored_query.on_success_message
or "Query executed, {} row{} affected".format(
cursor.rowcount, "" if cursor.rowcount == 1 else "s"
)
message = canned_query.get(
"on_success_message"
) or "Query executed, {} row{} affected".format(
cursor.rowcount, "" if cursor.rowcount == 1 else "s"
)
redirect_url = stored_query.on_success_redirect
redirect_url = canned_query.get("on_success_redirect")
ok = True
except Exception as ex:
message = stored_query.on_error_message or str(ex)
message = canned_query.get("on_error_message") or str(ex)
message_type = datasette.ERROR
redirect_url = stored_query.on_error_redirect
redirect_url = canned_query.get("on_error_redirect")
ok = False
if should_return_json:
return Response.json(
@ -549,35 +528,31 @@ class QueryView(View):
# Create lookup dict for quick access
allowed_dict = {r.child: r for r in allowed_tables_page.resources}
# Are we a stored query?
stored_query = None
stored_query_write = False
# Are we a canned query?
canned_query = None
canned_query_write = False
if "table" in request.url_vars:
try:
await datasette.resolve_table(request)
except TableNotFound as table_not_found:
# Was this actually a stored query?
stored_query = await datasette.get_query(
table_not_found.database_name, table_not_found.table
# Was this actually a canned query?
canned_query = await datasette.get_canned_query(
table_not_found.database_name, table_not_found.table, request.actor
)
if stored_query is None:
if canned_query is None:
raise
stored_query_write = stored_query.is_write
canned_query_write = bool(canned_query.get("write"))
private = False
if stored_query:
# Respect stored query permissions
if canned_query:
# Respect canned query permissions
visible, private = await datasette.check_visibility(
request.actor,
action="view-query",
resource=QueryResource(database=database, query=stored_query.name),
resource=QueryResource(database=database, query=canned_query["name"]),
)
if not visible:
raise Forbidden("You do not have permission to view this query")
if not stored_query_write:
await _ensure_stored_query_execution_permissions(
datasette, db, stored_query, request.actor
)
else:
await datasette.ensure_permission(
@ -590,16 +565,16 @@ class QueryView(View):
params = {key: request.args.get(key) for key in request.args}
sql = None
if stored_query:
sql = stored_query.sql
if canned_query:
sql = canned_query["sql"]
elif "sql" in params:
sql = params.pop("sql")
# Extract any :named parameters
named_parameters = []
if stored_query and stored_query.parameters:
named_parameters = stored_query.parameters
if not named_parameters and sql:
if canned_query and canned_query.get("params"):
named_parameters = canned_query["params"]
if not named_parameters:
named_parameters = derive_named_parameters(sql)
named_parameter_values = {
named_parameter: params.get(named_parameter) or ""
@ -624,13 +599,13 @@ class QueryView(View):
params_for_query = params
if sql and not stored_query_write:
if not canned_query_write:
try:
if not stored_query:
if not canned_query:
# For regular queries we only allow SELECT, plus other rules
validate_sql_select(sql)
else:
# Stored queries can run magic parameters
# Canned queries can run magic parameters
params_for_query = MagicParameters(sql, params, request, datasette)
await params_for_query.execute_params()
results = await datasette.execute(
@ -668,8 +643,6 @@ class QueryView(View):
# Handle formats from plugins
if format_ == "csv":
if not sql:
raise DatasetteError("?sql= is required", status=400)
async def fetch_data_for_csv(request, _next=None):
results = await db.execute(sql, params, truncate=True)
@ -686,7 +659,7 @@ class QueryView(View):
columns=columns,
rows=rows,
sql=sql,
query_name=stored_query.name if stored_query else None,
query_name=canned_query["name"] if canned_query else None,
database=database,
table=None,
request=request,
@ -718,10 +691,10 @@ class QueryView(View):
elif format_ == "html":
headers = {}
templates = [f"query-{to_css_class(database)}.html", "query.html"]
if stored_query:
if canned_query:
templates.insert(
0,
f"query-{to_css_class(database)}-{to_css_class(stored_query.name)}.html",
f"query-{to_css_class(database)}-{to_css_class(canned_query['name'])}.html",
)
environment = datasette.get_jinja_environment(request)
@ -739,9 +712,6 @@ class QueryView(View):
}
)
metadata = await datasette.get_database_metadata(database)
if stored_query:
metadata = stored_query_to_dict(stored_query)
metadata.pop("source", None)
renderers = {}
for key, (_, can_render) in datasette.renderers.items():
@ -768,14 +738,9 @@ class QueryView(View):
resource=DatabaseResource(database=database),
actor=request.actor,
)
allow_store_query = await datasette.allowed(
action="store-query",
resource=DatabaseResource(database=database),
actor=request.actor,
)
show_hide_hidden = ""
if stored_query and stored_query.hide_sql:
if canned_query and canned_query.get("hide_sql"):
if bool(params.get("_show_sql")):
show_hide_link = path_with_removed_args(request, {"_show_sql"})
show_hide_text = "hide"
@ -803,38 +768,24 @@ class QueryView(View):
# - No magic parameters, so no :_ in the SQL string
edit_sql_url = None
is_validated_sql = False
if sql:
try:
validate_sql_select(sql)
is_validated_sql = True
except InvalidSql:
pass
if allow_execute_sql and is_validated_sql and ":_" not in sql:
edit_sql_url = (
datasette.urls.database(database)
+ "/-/query"
+ "?"
+ urlencode(
{
**{
"sql": sql,
},
**named_parameter_values,
}
)
)
save_query_url = None
if (
not stored_query
and allow_execute_sql
and allow_store_query
and is_validated_sql
and ":_" not in sql
):
save_query_url = (
try:
validate_sql_select(sql)
is_validated_sql = True
except InvalidSql:
pass
if allow_execute_sql and is_validated_sql and ":_" not in sql:
edit_sql_url = (
datasette.urls.database(database)
+ "/-/queries/store?"
+ urlencode({"sql": sql})
+ "/-/query"
+ "?"
+ urlencode(
{
**{
"sql": sql,
},
**named_parameter_values,
}
)
)
async def query_actions():
@ -843,7 +794,7 @@ class QueryView(View):
datasette=datasette,
actor=request.actor,
database=database,
query_name=stored_query.name if stored_query else None,
query_name=canned_query["name"] if canned_query else None,
request=request,
sql=sql,
params=params,
@ -863,17 +814,16 @@ class QueryView(View):
"sql": sql,
"params": params,
},
stored_query=stored_query.name if stored_query else None,
canned_query=canned_query["name"] if canned_query else None,
private=private,
stored_query_write=stored_query_write,
canned_query_write=canned_query_write,
db_is_immutable=not db.is_mutable,
error=query_error,
hide_sql=hide_sql,
show_hide_link=datasette.urls.path(show_hide_link),
show_hide_text=show_hide_text,
editable=not stored_query,
editable=not canned_query,
allow_execute_sql=allow_execute_sql,
save_query_url=save_query_url,
tables=await get_tables(datasette, request, db, allowed_dict),
named_parameter_values=named_parameter_values,
edit_sql_url=edit_sql_url,
@ -893,7 +843,7 @@ class QueryView(View):
)
),
show_hide_hidden=markupsafe.Markup(show_hide_hidden),
metadata=metadata,
metadata=canned_query or metadata,
alternate_url_json=alternate_url_json,
select_templates=[
f"{'*' if template_name == template.name else ''}{template_name}"
@ -902,12 +852,12 @@ class QueryView(View):
top_query=make_slot_function(
"top_query", datasette, request, database=database, sql=sql
),
top_stored_query=make_slot_function(
"top_stored_query",
top_canned_query=make_slot_function(
"top_canned_query",
datasette,
request,
database=database,
query_name=stored_query.name if stored_query else None,
query_name=canned_query["name"] if canned_query else None,
),
query_actions=query_actions,
),
@ -1220,6 +1170,22 @@ class TableCreateView(BaseView):
return Response.json(details, status=201)
async def _table_columns(datasette, database_name):
internal_db = datasette.get_internal_database()
result = await internal_db.execute(
"select table_name, name from catalog_columns where database_name = ?",
[database_name],
)
table_columns = {}
for row in result.rows:
table_columns.setdefault(row["table_name"], []).append(row["name"])
# Add views
db = datasette.get_database(database_name)
for view_name in await db.view_names():
table_columns[view_name] = []
return table_columns
async def display_rows(datasette, database, request, rows, columns):
display_rows = []
truncate_cells = datasette.setting("truncate_cells_html")
@ -1239,7 +1205,6 @@ async def display_rows(datasette, database, request, rows, columns):
database=database,
datasette=datasette,
request=request,
column_type=None,
):
candidate = await await_me_maybe(candidate)
if candidate is not None:

View file

@ -1,257 +0,0 @@
from urllib.parse import urlencode
from datasette.resources import DatabaseResource
from datasette.utils import sqlite3
from datasette.utils.asgi import Response
from .base import BaseView, _error
from .query_helpers import (
QueryValidationError,
_analysis_is_write,
_analysis_rows,
_analysis_rows_with_permissions,
_block_framing,
_coerce_execute_write_payload,
_derived_query_parameters,
_execute_write_analysis_data,
_inserted_row_url,
_json_or_form_payload,
_prepare_execute_write,
_table_columns,
_wants_json,
)
class ExecuteWriteView(BaseView):
name = "execute-write"
has_json_alternate = False
async def _render_form(
self,
request,
db,
*,
sql="",
parameter_values=None,
analysis=None,
analysis_error=None,
execution_message=None,
execution_links=None,
execution_ok=None,
status=200,
):
parameter_values = parameter_values or {}
execution_links = execution_links or []
parameter_names = []
analysis_rows = []
table_columns = await _table_columns(self.ds, db.name)
hidden_table_names = set(await db.hidden_table_names())
write_template_tables = {
table: columns
for table, columns in table_columns.items()
if columns and table not in hidden_table_names
}
if sql and analysis_error is None:
try:
parameter_names = _derived_query_parameters(sql)
if analysis is None:
params = {parameter: "" for parameter in parameter_names}
analysis = await db.analyze_sql(sql, params)
if _analysis_is_write(analysis):
analysis_rows = await _analysis_rows_with_permissions(
self.ds, analysis, request.actor
)
else:
analysis_error = (
"Use /-/query for read-only SQL; "
"this endpoint only executes writes"
)
except (QueryValidationError, sqlite3.DatabaseError) as ex:
analysis_error = getattr(ex, "message", str(ex))
allow_save_query = await self.ds.allowed(
action="execute-sql",
resource=DatabaseResource(db.name),
actor=request.actor,
) and await self.ds.allowed(
action="store-query",
resource=DatabaseResource(db.name),
actor=request.actor,
)
save_query_base_url = None
save_query_url = None
if allow_save_query:
save_query_base_url = self.ds.urls.database(db.name) + "/-/queries/store"
if (
sql
and analysis_error is None
and not any(row["allowed"] is False for row in analysis_rows)
):
save_query_url = save_query_base_url + "?" + urlencode({"sql": sql})
response = await self.render(
["execute_write.html"],
request,
{
"database": db.name,
"database_color": db.color,
"sql": sql,
"parameter_names": parameter_names,
"parameter_values": parameter_values,
"analysis_error": analysis_error,
"analysis_rows": [
row for row in analysis_rows if row["operation"] != "read"
],
"execution_message": execution_message,
"execution_links": execution_links,
"execution_ok": execution_ok,
"execute_disabled": bool(
(not sql)
or analysis_error
or any(row["allowed"] is False for row in analysis_rows)
),
"table_columns": table_columns,
"write_template_tables": write_template_tables,
"save_query_url": save_query_url,
"save_query_base_url": save_query_base_url,
},
)
response.status = status
return _block_framing(response)
async def get(self, request):
db = await self.ds.resolve_database(request)
await self.ds.ensure_permission(
action="execute-write-sql",
resource=DatabaseResource(db.name),
actor=request.actor,
)
if not db.is_mutable:
return _block_framing(
_error(
["Cannot execute write SQL because this database is immutable."],
403,
)
)
return await self._render_form(
request,
db,
sql=request.args.get("sql") or "",
)
async def post(self, request):
db = await self.ds.resolve_database(request)
if not await self.ds.allowed(
action="execute-write-sql",
resource=DatabaseResource(db.name),
actor=request.actor,
):
return _block_framing(
_error(["Permission denied: need execute-write-sql"], 403)
)
if not db.is_mutable:
return _block_framing(_error(["Database is immutable"], 403))
data = {}
is_json = request.headers.get("content-type", "").startswith("application/json")
sql = ""
provided_params = {}
try:
data, is_json = await _json_or_form_payload(request)
sql, provided_params = _coerce_execute_write_payload(data, is_json)
parameter_names, params, analysis = await _prepare_execute_write(
self.ds, db, sql, provided_params, request.actor
)
except QueryValidationError as ex:
if _wants_json(request, is_json, data):
return _block_framing(_error([ex.message], ex.status))
return await self._render_form(
request,
db,
sql=sql or "",
parameter_values=provided_params,
analysis_error=ex.message,
execution_message=ex.message,
execution_ok=False,
status=ex.status,
)
try:
cursor = await db.execute_write(sql, params, request=request)
except sqlite3.DatabaseError as ex:
message = str(ex)
if _wants_json(request, is_json, data):
return _block_framing(_error([message], 400))
return await self._render_form(
request,
db,
sql=sql,
parameter_values=params,
analysis=analysis,
execution_message=message,
execution_ok=False,
status=400,
)
message = "Query executed, {} row{} affected".format(
cursor.rowcount, "" if cursor.rowcount == 1 else "s"
)
if _wants_json(request, is_json, data):
return _block_framing(
Response.json(
{
"ok": True,
"message": message,
"rowcount": cursor.rowcount,
"analysis": _analysis_rows(analysis),
}
)
)
inserted_row_url = await _inserted_row_url(self.ds, db, analysis, cursor)
execution_links = (
[{"href": inserted_row_url, "label": "View row"}]
if inserted_row_url
else []
)
return await self._render_form(
request,
db,
sql=sql,
parameter_values={name: params.get(name, "") for name in parameter_names},
analysis=analysis,
execution_message=message,
execution_links=execution_links,
execution_ok=True,
)
class ExecuteWriteAnalyzeView(BaseView):
name = "execute-write-analyze"
has_json_alternate = False
async def get(self, request):
db = await self.ds.resolve_database(request)
if not await self.ds.allowed(
action="execute-write-sql",
resource=DatabaseResource(db.name),
actor=request.actor,
):
return _block_framing(
_error(["Permission denied: need execute-write-sql"], 403)
)
invalid_keys = set(request.args) - {"sql"}
if invalid_keys:
return _block_framing(
_error(
["Invalid keys: {}".format(", ".join(sorted(invalid_keys)))],
400,
)
)
sql = request.args.get("sql") or ""
return _block_framing(
Response.json(
await _execute_write_analysis_data(self.ds, db, sql, request.actor)
)
)

View file

@ -1,556 +0,0 @@
import json
import re
from datasette.resources import DatabaseResource, TableResource
from datasette.stored_queries import StoredQuery
from datasette.utils import (
named_parameters as derive_named_parameters,
escape_sqlite,
path_from_row_pks,
sqlite3,
validate_sql_select,
InvalidSql,
)
from datasette.utils.asgi import Forbidden
_query_name_re = re.compile(r"^[^/\.\n]+$")
_query_fields = {
"sql",
"title",
"description",
"hide_sql",
"fragment",
"parameters",
"params",
"is_private",
"on_success_message",
"on_success_redirect",
"on_error_message",
"on_error_redirect",
}
_query_create_fields = _query_fields | {"name", "mode", "csrftoken"}
_query_update_fields = _query_fields
_query_write_fields = {
"on_success_message",
"on_success_redirect",
"on_error_message",
"on_error_redirect",
}
class QueryValidationError(Exception):
def __init__(self, message, status=400):
self.message = message
self.status = status
def _actor_id(actor):
if isinstance(actor, dict):
return actor.get("id")
return None
def _as_bool(value):
if isinstance(value, bool):
return value
if value is None:
return False
if isinstance(value, int):
return bool(value)
if isinstance(value, str):
return value.lower() in {"1", "true", "t", "yes", "on"}
return bool(value)
def _as_optional_bool(value, name):
if value is None or value == "":
return None
if isinstance(value, bool):
return value
if isinstance(value, int):
return bool(value)
if isinstance(value, str):
lowered = value.lower()
if lowered in {"1", "true", "t", "yes", "on"}:
return True
if lowered in {"0", "false", "f", "no", "off"}:
return False
raise QueryValidationError("{} must be 0 or 1".format(name))
def _query_list_limit(value, default=50):
if value in (None, ""):
return default
try:
return min(max(1, int(value)), 1000)
except ValueError as ex:
raise QueryValidationError("_size must be an integer") from ex
def _derived_query_parameters(sql):
parameters = []
seen = set()
for parameter in derive_named_parameters(sql):
if parameter.startswith("_"):
raise QueryValidationError("Magic parameters are not allowed")
if parameter not in seen:
parameters.append(parameter)
seen.add(parameter)
return parameters
def _coerce_query_parameters(value, derived):
if value is None:
return derived
if isinstance(value, str):
parameters = [
parameter.strip()
for parameter in re.split(r"[\s,]+", value)
if parameter.strip()
]
elif isinstance(value, list):
parameters = value
else:
raise QueryValidationError("parameters must be a list of strings")
if not all(isinstance(parameter, str) for parameter in parameters):
raise QueryValidationError("parameters must be a list of strings")
if any(parameter.startswith("_") for parameter in parameters):
raise QueryValidationError("Magic parameters are not allowed")
if set(parameters) != set(derived):
raise QueryValidationError("parameters must match SQL named parameters")
return parameters
def _analysis_is_write(analysis):
return any(
access.operation in {"insert", "update", "delete"}
for access in analysis.table_accesses
)
def _block_framing(response):
response.headers["Content-Security-Policy"] = "frame-ancestors 'none'"
response.headers["X-Frame-Options"] = "DENY"
return response
def _wants_json(request, is_json, data):
return (
is_json
or request.headers.get("accept") == "application/json"
or (isinstance(data, dict) and data.get("_json"))
)
def _query_create_form_error_message(message):
return {
"Query name is required": "URL is required",
"Invalid query name": "Invalid URL",
"Query name conflicts with a table or view": (
"URL conflicts with an existing table or view"
),
"Query already exists": "A query already exists at that URL",
}.get(message, message)
async def _json_or_form_payload(request):
content_type = request.headers.get("content-type", "")
if content_type.startswith("application/json"):
body = await request.post_body()
try:
return json.loads(body or b"{}"), True
except json.JSONDecodeError as e:
raise QueryValidationError("Invalid JSON: {}".format(e))
return await request.post_vars(), False
async def _check_query_name(db, name, *, existing=False):
if not name or not isinstance(name, str):
raise QueryValidationError("Query name is required")
if not _query_name_re.match(name):
raise QueryValidationError("Invalid query name")
if not existing and (await db.table_exists(name) or await db.view_exists(name)):
raise QueryValidationError("Query name conflicts with a table or view")
async def _analyze_user_query(datasette, db, sql, *, actor):
if not sql or not isinstance(sql, str):
raise QueryValidationError("SQL is required")
derived = _derived_query_parameters(sql)
params = {parameter: "" for parameter in derived}
try:
analysis = await db.analyze_sql(sql, params)
except sqlite3.DatabaseError as ex:
raise QueryValidationError("Could not analyze query: {}".format(ex)) from ex
is_write = _analysis_is_write(analysis)
if is_write:
try:
await datasette.ensure_query_write_permissions(
db.name, sql, actor=actor, analysis=analysis
)
except Forbidden as ex:
raise QueryValidationError(str(ex), status=403) from ex
else:
try:
validate_sql_select(sql)
except InvalidSql as ex:
raise QueryValidationError(str(ex)) from ex
return is_write, derived, analysis
def _analysis_rows(analysis):
write_actions = {
"insert": "insert-row",
"update": "update-row",
"delete": "delete-row",
}
return [
{
"operation": access.operation,
"database": access.database,
"table": access.table,
"required_permission": write_actions.get(access.operation, ""),
"source": access.source,
}
for access in analysis.table_accesses
]
async def _analysis_rows_with_permissions(datasette, analysis, actor):
rows = _analysis_rows(analysis)
for row in rows:
permission = row["required_permission"]
if permission:
row["allowed"] = await datasette.allowed(
action=permission,
resource=TableResource(row["database"], row["table"]),
actor=actor,
)
else:
row["allowed"] = None
return rows
def _coerce_execute_write_payload(data, is_json):
if not isinstance(data, dict):
raise QueryValidationError("JSON must be a dictionary")
if is_json:
invalid_keys = set(data) - {"sql", "params"}
if invalid_keys:
raise QueryValidationError(
"Invalid keys: {}".format(", ".join(sorted(invalid_keys)))
)
params = data.get("params") or {}
else:
params = {
key: value
for key, value in data.items()
if key not in {"sql", "csrftoken", "_json"}
}
if not isinstance(params, dict):
raise QueryValidationError("params must be a dictionary")
return data.get("sql"), params
async def _prepare_execute_write(datasette, db, sql, params, actor):
if not sql or not isinstance(sql, str):
raise QueryValidationError("SQL is required")
parameter_names = _derived_query_parameters(sql)
extra_params = set(params) - set(parameter_names)
if extra_params:
raise QueryValidationError(
"Unknown parameters: {}".format(", ".join(sorted(extra_params)))
)
params = {name: params.get(name, "") for name in parameter_names}
try:
analysis = await db.analyze_sql(sql, params)
except sqlite3.DatabaseError as ex:
raise QueryValidationError("Could not analyze query: {}".format(ex)) from ex
if not _analysis_is_write(analysis):
raise QueryValidationError(
"Use /-/query for read-only SQL; this endpoint only executes writes"
)
try:
await datasette.ensure_query_write_permissions(
db.name, sql, actor=actor, analysis=analysis
)
except Forbidden as ex:
raise QueryValidationError(str(ex), status=403) from ex
return parameter_names, params, analysis
async def _ensure_stored_query_execution_permissions(
datasette, db, query: StoredQuery, actor
):
if query.is_trusted:
return
if query.is_write:
await datasette.ensure_permission(
action="execute-write-sql",
resource=DatabaseResource(db.name),
actor=actor,
)
await datasette.ensure_query_write_permissions(db.name, query.sql, actor=actor)
else:
await datasette.ensure_permission(
action="execute-sql",
resource=DatabaseResource(db.name),
actor=actor,
)
async def _execute_write_analysis_data(datasette, db, sql, actor):
parameter_names = []
analysis_rows = []
analysis_error = None
if sql:
try:
parameter_names = _derived_query_parameters(sql)
params = {parameter: "" for parameter in parameter_names}
analysis = await db.analyze_sql(sql, params)
if _analysis_is_write(analysis):
analysis_rows = await _analysis_rows_with_permissions(
datasette, analysis, actor
)
else:
analysis_error = (
"Use /-/query for read-only SQL; "
"this endpoint only executes writes"
)
except (QueryValidationError, sqlite3.DatabaseError) as ex:
analysis_error = getattr(ex, "message", str(ex))
return {
"ok": analysis_error is None,
"parameters": parameter_names,
"analysis_error": analysis_error,
"analysis_rows": [row for row in analysis_rows if row["operation"] != "read"],
"execute_disabled": bool(
(not sql)
or analysis_error
or any(row["allowed"] is False for row in analysis_rows)
),
}
async def _query_create_analysis_data(datasette, db, sql, actor):
has_sql = bool(sql and sql.strip())
parameter_names = []
analysis_rows = []
analysis_error = None
if has_sql:
try:
parameter_names = _derived_query_parameters(sql)
params = {parameter: "" for parameter in parameter_names}
analysis = await db.analyze_sql(sql, params)
analysis_rows = await _analysis_rows_with_permissions(
datasette, analysis, actor
)
except (QueryValidationError, sqlite3.DatabaseError) as ex:
analysis_error = getattr(ex, "message", str(ex))
return {
"ok": analysis_error is None,
"parameters": parameter_names,
"analysis_error": analysis_error,
"analysis_rows": analysis_rows,
"has_sql": has_sql,
"analysis_is_write": bool(
analysis_rows and any(row["required_permission"] for row in analysis_rows)
),
"save_disabled": bool(
(not has_sql)
or analysis_error
or any(row["allowed"] is False for row in analysis_rows)
),
}
async def _query_create_form_context(
datasette,
request,
db,
*,
sql="",
name="",
title="",
description="",
is_private=True,
):
analysis_data = await _query_create_analysis_data(datasette, db, sql, request.actor)
return {
"database": db.name,
"database_color": db.color,
"sql": sql,
"name": name,
"title": title,
"description": description,
"is_private": is_private,
**analysis_data,
}
async def _inserted_row_url(datasette, db, analysis, cursor):
if cursor.rowcount != 1:
return None
lastrowid = getattr(cursor, "lastrowid", None)
if lastrowid is None:
return None
direct_inserts = [
access
for access in analysis.table_accesses
if access.operation == "insert"
and access.source is None
and access.database == db.name
]
if len(direct_inserts) != 1:
return None
table = direct_inserts[0].table
pks = await db.primary_keys(table)
use_rowid = not pks
select = (
"rowid"
if use_rowid
else ", ".join(escape_sqlite(primary_key) for primary_key in pks)
)
try:
result = await db.execute(
"select {} from {} where rowid = ?".format(select, escape_sqlite(table)),
[lastrowid],
)
except sqlite3.DatabaseError:
return None
row = result.first()
if row is None:
return None
row_path = path_from_row_pks(row, pks, use_rowid)
return datasette.urls.row(db.name, table, row_path)
def _apply_query_data_types(data):
typed = dict(data)
for key in ("hide_sql", "is_private"):
if key in typed:
typed[key] = _as_bool(typed[key])
return typed
async def _prepare_query_create(datasette, request, db, data):
invalid_keys = set(data) - _query_create_fields
if invalid_keys:
raise QueryValidationError(
"Invalid keys: {}".format(", ".join(sorted(invalid_keys)))
)
data = _apply_query_data_types(data)
name = data.get("name")
await _check_query_name(db, name)
if await datasette.get_query(db.name, name) is not None:
raise QueryValidationError("Query already exists")
is_write, derived, analysis = await _analyze_user_query(
datasette,
db,
data.get("sql"),
actor=request.actor,
)
if not is_write and any(data.get(field) for field in _query_write_fields):
raise QueryValidationError("Writable query fields require writable SQL")
parameters = _coerce_query_parameters(
data.get("parameters", data.get("params")),
derived,
)
return {
"name": name,
"sql": data["sql"],
"title": data.get("title"),
"description": data.get("description"),
"hide_sql": _as_bool(data.get("hide_sql")),
"fragment": data.get("fragment"),
"parameters": parameters,
"is_write": is_write,
"is_private": _as_bool(data.get("is_private", True)),
"is_trusted": False,
"source": "user",
"owner_id": _actor_id(request.actor),
"on_success_message": data.get("on_success_message"),
"on_success_redirect": data.get("on_success_redirect"),
"on_error_message": data.get("on_error_message"),
"on_error_redirect": data.get("on_error_redirect"),
"analysis": analysis,
}
async def _prepare_query_update(datasette, request, db, existing: StoredQuery, update):
invalid_keys = set(update) - _query_update_fields
if invalid_keys:
raise QueryValidationError(
"Invalid keys: {}".format(", ".join(sorted(invalid_keys)))
)
update = _apply_query_data_types(update)
sql = update.get("sql", existing.sql)
query_is_write = existing.is_write
derived = _derived_query_parameters(sql)
parameters = None
if "sql" in update:
query_is_write, derived, _ = await _analyze_user_query(
datasette,
db,
sql,
actor=request.actor,
)
if "parameters" in update or "params" in update:
parameters = _coerce_query_parameters(
update.get("parameters", update.get("params")),
derived,
)
elif "sql" in update:
parameters = derived
if not query_is_write and any(update.get(field) for field in _query_write_fields):
raise QueryValidationError("Writable query fields require writable SQL")
field_values = {
"sql": sql,
"title": update.get("title"),
"description": update.get("description"),
"hide_sql": update.get("hide_sql"),
"fragment": update.get("fragment"),
"parameters": parameters,
"is_write": query_is_write,
"is_private": update.get("is_private"),
"on_success_message": update.get("on_success_message"),
"on_success_redirect": update.get("on_success_redirect"),
"on_error_message": update.get("on_error_message"),
"on_error_redirect": update.get("on_error_redirect"),
}
update_kwargs = {}
for field_name, value in field_values.items():
if field_name in update:
update_kwargs[field_name] = value
if parameters is not None:
update_kwargs["parameters"] = parameters
if "sql" in update:
update_kwargs["is_write"] = query_is_write
return update_kwargs
async def _table_columns(datasette, database_name):
internal_db = datasette.get_internal_database()
result = await internal_db.execute(
"select table_name, name from catalog_columns where database_name = ?",
[database_name],
)
table_columns = {}
for row in result.rows:
table_columns.setdefault(row["table_name"], []).append(row["name"])
# Add views
db = datasette.get_database(database_name)
for view_name in await db.view_names():
table_columns[view_name] = []
return table_columns

View file

@ -5,14 +5,12 @@ from datasette.resources import TableResource
from .base import DataView, BaseView, _error
from datasette.utils import (
await_me_maybe,
CustomRow,
make_slot_function,
to_css_class,
escape_sqlite,
)
from datasette.plugins import pm
import json
import markupsafe
import sqlite_utils
from .table import display_columns_and_rows, _get_extras
@ -44,62 +42,13 @@ class RowView(DataView):
if not rows:
raise NotFound(f"Record not found: {pk_values}")
pks = resolved.pks
async def template_data():
# Reorder columns so primary keys come first
pk_set = set(pks)
pk_cols = [d for d in results.description if d[0] in pk_set]
non_pk_cols = [d for d in results.description if d[0] not in pk_set]
reordered_description = pk_cols + non_pk_cols
reordered_columns = [d[0] for d in reordered_description]
# Reorder row data to match
reordered_rows = []
for row in rows:
new_row = CustomRow(reordered_columns)
for col in reordered_columns:
new_row[col] = row[col]
reordered_rows.append(new_row)
# Expand foreign key columns into dicts so display_columns_and_rows
# renders them as hyperlinks, matching the table view behavior
expanded_rows = reordered_rows
for fk in await db.foreign_keys_for_table(table):
column = fk["column"]
if column not in reordered_columns:
continue
column_index = reordered_columns.index(column)
values = [row[column_index] for row in expanded_rows]
expanded_labels = await self.ds.expand_foreign_keys(
request.actor, database, table, column, values
)
if expanded_labels:
new_rows = []
for row in expanded_rows:
new_row = CustomRow(reordered_columns)
for col in reordered_columns:
value = row[col]
if (
col == column
and (col, value) in expanded_labels
and value is not None
):
new_row[col] = {
"value": value,
"label": expanded_labels[(col, value)],
}
else:
new_row[col] = value
new_rows.append(new_row)
expanded_rows = new_rows
display_columns, display_rows = await display_columns_and_rows(
self.ds,
database,
table,
reordered_description,
expanded_rows,
results.description,
rows,
link_column=False,
truncate_cells=0,
request=request,
@ -107,14 +56,6 @@ class RowView(DataView):
for column in display_columns:
column["sortable"] = False
# Bold primary key cell values
for row in display_rows:
for cell in row:
if cell["column"] in pk_set:
cell["value"] = markupsafe.Markup(
"<strong>{}</strong>".format(cell["value"])
)
row_actions = []
for hook in pm.hook.row_actions(
datasette=self.ds,
@ -130,7 +71,6 @@ class RowView(DataView):
return {
"private": private,
"columns": reordered_columns,
"foreign_key_tables": await self.foreign_key_tables(
database, table, pk_values
),
@ -179,41 +119,26 @@ class RowView(DataView):
if "render_cell" in extras:
# Call render_cell plugin hook for each cell
ct_map = await self.ds.get_column_types(database, table)
rendered_rows = []
for row in rows:
rendered_row = {}
for value, column in zip(row, columns):
ct = ct_map.get(column)
# Call render_cell plugin hook
plugin_display_value = None
# Try column type render_cell first
if ct:
candidate = await ct.render_cell(
value=value,
column=column,
table=table,
database=database,
datasette=self.ds,
request=request,
)
for candidate in pm.hook.render_cell(
row=row,
value=value,
column=column,
table=table,
pks=resolved.pks,
database=database,
datasette=self.ds,
request=request,
):
candidate = await await_me_maybe(candidate)
if candidate is not None:
plugin_display_value = candidate
if plugin_display_value is None:
for candidate in pm.hook.render_cell(
row=row,
value=value,
column=column,
table=table,
pks=resolved.pks,
database=database,
datasette=self.ds,
request=request,
column_type=ct,
):
candidate = await await_me_maybe(candidate)
if candidate is not None:
plugin_display_value = candidate
break
break
if plugin_display_value:
rendered_row[column] = str(plugin_display_value)
rendered_rows.append(rendered_row)
@ -367,15 +292,6 @@ class RowUpdateView(BaseView):
update = data["update"]
# Validate column types
from datasette.views.table import _validate_column_types
ct_errors = await _validate_column_types(
self.ds, resolved.db.name, resolved.table, [update]
)
if ct_errors:
return _error(ct_errors, 400)
alter = data.get("alter")
if alter and not await self.ds.allowed(
action="alter-table",

View file

@ -1,14 +1,12 @@
import json
import logging
from datasette.jump import JumpSQL, namespace_sql_params
from datasette.plugins import pm
from datasette.events import LogoutEvent, LoginEvent, CreateTokenEvent
from datasette.permissions import TokenRestrictions
from datasette.resources import DatabaseResource, TableResource
from datasette.utils.asgi import Response, Forbidden
from datasette.utils import (
actor_matches_allow,
add_cors_headers,
await_me_maybe,
tilde_encode,
tilde_decode,
)
@ -67,7 +65,7 @@ class JsonDataView(BaseView):
context = {
"filename": self.filename,
"data": data,
"data_json": json.dumps(data, indent=2, default=repr),
"data_json": json.dumps(data, indent=4, default=repr),
}
# Add has_debug_permission if this view requires permissions-debug
if self.permission == "permissions-debug":
@ -713,36 +711,43 @@ class CreateTokenView(BaseView):
errors.append("Invalid expire duration unit")
# Are there any restrictions?
from datasette.tokens import TokenRestrictions
restrictions = TokenRestrictions()
restrict_all = []
restrict_database = {}
restrict_resource = {}
for key in form:
if key.startswith("all:") and key.count(":") == 1:
restrictions.allow_all(key.split(":")[1])
restrict_all.append(key.split(":")[1])
elif key.startswith("database:") and key.count(":") == 2:
bits = key.split(":")
restrictions.allow_database(tilde_decode(bits[1]), bits[2])
database = tilde_decode(bits[1])
action = bits[2]
restrict_database.setdefault(database, []).append(action)
elif key.startswith("resource:") and key.count(":") == 3:
bits = key.split(":")
restrictions.allow_resource(
tilde_decode(bits[1]), tilde_decode(bits[2]), bits[3]
)
database = tilde_decode(bits[1])
resource = tilde_decode(bits[2])
action = bits[3]
restrict_resource.setdefault(database, {}).setdefault(
resource, []
).append(action)
token = await self.ds.create_token(
restrictions = TokenRestrictions(
all=restrict_all,
database=restrict_database,
resource=restrict_resource,
)
token = self.ds.create_signed_token(
request.actor["id"],
expires_after=expires_after,
restrictions=restrictions,
handler="signed",
)
token_bits = self.ds.unsign(token[len("dstok_") :], namespace="token")
await self.ds.track_event(
CreateTokenEvent(
actor=request.actor,
expires_after=expires_after,
restrict_all=restrictions.all,
restrict_database=restrictions.database,
restrict_resource=restrictions.resource,
restrictions=restrictions,
)
)
context = await self.shared(request)
@ -816,18 +821,9 @@ class ApiExplorerView(BaseView):
"json": {
"rows": [
{
column: "<{}{}>".format(
column,
(
" (primary key)"
if column in (pks or ["rowid"])
else ""
),
)
for column in (
(["rowid"] if not pks else [])
+ await db.table_columns(table)
)
column: None
for column in await db.table_columns(table)
if column not in pks
}
]
},
@ -913,183 +909,75 @@ class ApiExplorerView(BaseView):
)
class JumpView(BaseView):
class TablesView(BaseView):
"""
Endpoint for the jump menu. Returns JSON navigation items the actor can use.
Simple endpoint that uses the new allowed_resources() API.
Returns JSON list of all tables the actor can view.
Supports ?q=foo+bar to filter tables matching .*foo.*bar.* pattern,
ordered by shortest name first.
"""
name = "jump"
name = "tables"
has_json_alternate = False
async def _fragments(self, request):
fragments = []
for hook in pm.hook.jump_items_sql(
datasette=self.ds,
actor=request.actor,
request=request,
):
value = await await_me_maybe(hook)
if value is None:
continue
if isinstance(value, JumpSQL):
fragments.append(value)
elif isinstance(value, (list, tuple)):
for fragment in value:
if fragment is not None:
assert isinstance(
fragment, JumpSQL
), "jump_items_sql must return JumpSQL instances"
fragments.append(fragment)
else:
raise TypeError("jump_items_sql must return JumpSQL instances")
return fragments
def _resolve_url(self, url):
if not url or url.startswith("/"):
return url
descriptor = json.loads(url)
if not isinstance(descriptor, dict):
raise TypeError("jump item url JSON must be an object")
method_name = descriptor.get("method")
if not isinstance(method_name, str) or not method_name:
raise TypeError("jump item url JSON must include a method")
if method_name.startswith("_"):
raise AttributeError(f"datasette.urls has no method named {method_name!r}")
try:
method = getattr(self.ds.urls, method_name)
except AttributeError as ex:
raise AttributeError(
f"datasette.urls has no method named {method_name!r}"
) from ex
if not callable(method):
raise TypeError(f"datasette.urls.{method_name} is not callable")
kwargs = {key: value for key, value in descriptor.items() if key != "method"}
try:
return method(**kwargs)
except TypeError as ex:
raise TypeError(
f"Invalid arguments for datasette.urls.{method_name}(): {ex}"
) from ex
def _sort_key(self, row, q):
display_label = row["display_name"] or row["label"]
display_label_lower = display_label.lower()
q_lower = q.lower()
if display_label_lower == q_lower:
relevance = 0
elif display_label_lower.startswith(q_lower):
relevance = 1
else:
relevance = 2
type_sort = {
"database": 10,
"table": 20,
"view": 25,
"query": 30,
}.get(row["type"], 50)
return (relevance, type_sort, len(display_label), row["label"])
async def _rows_for_database(self, database_name, indexed_fragments, q, pattern):
params = {"q": q, "pattern": pattern}
union_parts = []
for index, fragment in indexed_fragments:
fragment_sql, fragment_params = namespace_sql_params(
fragment.sql,
fragment.params or {},
f"jump_{index}",
)
union_parts.append(f"""
SELECT
type,
label,
description,
url,
search_text,
display_name
FROM (
{fragment_sql}
)
""")
params.update(fragment_params)
sql = f"""
WITH jump_items AS (
{" UNION ALL ".join(union_parts)}
)
SELECT
type,
label,
description,
url,
search_text,
display_name
FROM jump_items
WHERE :q = ''
OR search_text LIKE :pattern COLLATE NOCASE
ORDER BY
CASE
WHEN lower(COALESCE(display_name, label)) = lower(:q) THEN 0
WHEN lower(COALESCE(display_name, label)) LIKE lower(:q || '%') THEN 1
ELSE 2
END,
CASE type
WHEN 'database' THEN 10
WHEN 'table' THEN 20
WHEN 'view' THEN 25
WHEN 'query' THEN 30
ELSE 50
END,
length(COALESCE(display_name, label)),
label
LIMIT 101
"""
db = (
self.ds.get_internal_database()
if database_name is None
else self.ds.get_database(database_name)
)
result = await db.execute(sql, params)
return list(result.rows)
async def get(self, request):
# Get search query parameter
q = request.args.get("q", "").strip()
terms = q.split()
pattern = "%" + "%".join(terms) + "%" if terms else "%"
fragments = await self._fragments(request)
fragments_by_database = {}
for index, fragment in enumerate(fragments):
fragments_by_database.setdefault(fragment.database, []).append(
(index, fragment)
# Get SQL for allowed resources using the permission system
permission_sql, params = await self.ds.allowed_resources_sql(
action="view-table", actor=request.actor
)
# Build query based on whether we have a search query
if q:
# Build SQL LIKE pattern from search terms
# Split search terms by whitespace and build pattern: %term1%term2%term3%
terms = q.split()
pattern = "%" + "%".join(terms) + "%"
# Build query with CTE to filter by search pattern
sql = f"""
WITH allowed_tables AS (
{permission_sql}
)
rows = []
truncated = False
for database_name, indexed_fragments in fragments_by_database.items():
database_rows = await self._rows_for_database(
database_name, indexed_fragments, q, pattern
SELECT parent, child
FROM allowed_tables
WHERE child LIKE :pattern COLLATE NOCASE
ORDER BY length(child), child
"""
all_params = {**params, "pattern": pattern}
else:
# No search query - return all tables, ordered by name
# Fetch 101 to detect if we need to truncate
sql = f"""
WITH allowed_tables AS (
{permission_sql}
)
if len(database_rows) > 100:
truncated = True
database_rows = database_rows[:100]
rows.extend(database_rows)
rows.sort(key=lambda row: self._sort_key(row, q))
SELECT parent, child
FROM allowed_tables
ORDER BY parent, child
LIMIT 101
"""
all_params = params
if len(rows) > 100:
truncated = True
# Execute against internal database
result = await self.ds.get_internal_database().execute(sql, all_params)
# Build response with truncation
rows = list(result.rows)
truncated = len(rows) > 100
if truncated:
rows = rows[:100]
matches = []
for row in rows:
match = {
"name": row["label"],
"url": self._resolve_url(row["url"]),
"type": row["type"],
"description": row["description"],
matches = [
{
"name": f"{row['parent']}: {row['child']}",
"url": self.ds.urls.table(row["parent"], row["child"]),
}
if row["display_name"]:
match["display_name"] = row["display_name"]
matches.append(match)
for row in rows
]
return Response.json({"matches": matches, "truncated": truncated})

View file

@ -1,483 +0,0 @@
from urllib.parse import parse_qsl, urlencode
from datasette.resources import DatabaseResource, QueryResource
from datasette.stored_queries import stored_query_to_dict
from datasette.utils import sqlite3, tilde_decode
from datasette.utils.asgi import Response
from .base import BaseView, _error
from .query_helpers import (
QueryValidationError,
_as_bool,
_as_optional_bool,
_block_framing,
_derived_query_parameters,
_json_or_form_payload,
_prepare_query_create,
_prepare_query_update,
_query_create_analysis_data,
_query_create_form_context,
_query_create_form_error_message,
_query_list_limit,
)
class QueryParametersView(BaseView):
name = "query-parameters"
has_json_alternate = False
async def get(self, request):
db = await self.ds.resolve_database(request)
if not await self.ds.allowed(
action="execute-sql",
resource=DatabaseResource(db.name),
actor=request.actor,
):
return _block_framing(_error(["Permission denied: need execute-sql"], 403))
invalid_keys = set(request.args) - {"sql"}
if invalid_keys:
return _block_framing(
_error(
["Invalid keys: {}".format(", ".join(sorted(invalid_keys)))],
400,
)
)
try:
parameters = _derived_query_parameters(request.args.get("sql") or "")
except QueryValidationError as ex:
return _block_framing(_error([ex.message], ex.status))
return _block_framing(Response.json({"ok": True, "parameters": parameters}))
def _query_list_url(path, query_string, *, set_args=None, remove_args=None):
set_args = set_args or {}
remove_args = set(remove_args or ())
skip = set(set_args) | remove_args | {"_next"}
pairs = [
(key, value)
for key, value in parse_qsl(query_string, keep_blank_values=True)
if key not in skip
]
for key, value in set_args.items():
if value not in (None, ""):
pairs.append((key, value))
return path + (("?" + urlencode(pairs)) if pairs else "")
class QueryListView(BaseView):
name = "query-list"
async def database_name(self, request):
return (await self.ds.resolve_database(request)).name
def query_list_path(self, database):
return self.ds.urls.database(database) + "/-/queries"
async def get(self, request):
database = await self.database_name(request)
format_ = request.url_vars.get("format") or "html"
try:
limit = _query_list_limit(
request.args.get("_size"),
default=20 if format_ == "html" else 50,
)
is_write = _as_optional_bool(request.args.get("is_write"), "is_write")
is_private = _as_optional_bool(request.args.get("is_private"), "is_private")
except QueryValidationError as ex:
return _error([ex.message], ex.status)
page = await self.ds.list_queries(
database,
actor=request.actor,
limit=limit,
cursor=request.args.get("_next"),
q=request.args.get("q") or None,
is_write=is_write,
is_private=is_private,
source=request.args.get("source") or None,
owner_id=request.args.get("owner_id") or None,
include_private=True,
)
query_list_path = self.query_list_path(database)
next_url = None
if page.next:
pairs = [
(key, value)
for key, value in parse_qsl(
request.query_string, keep_blank_values=True
)
if key != "_next"
]
pairs.append(("_next", page.next))
next_url = "{}?{}".format(
query_list_path,
urlencode(pairs),
)
current_filters = {
"actor": request.actor,
"q": request.args.get("q") or None,
"is_write": is_write,
"is_private": is_private,
"source": request.args.get("source") or None,
"owner_id": request.args.get("owner_id") or None,
}
async def facet_count(field, value):
if current_filters[field] is not None and current_filters[field] != value:
return 0
filters = dict(current_filters)
filters[field] = value
return await self.ds.count_queries(database, **filters)
def facet_href(field, value):
if current_filters[field] == value:
return _query_list_url(
query_list_path,
request.query_string,
remove_args=[field],
)
if current_filters[field] is not None:
return None
return _query_list_url(
query_list_path,
request.query_string,
set_args={field: str(int(value))},
)
async def facet_item(label, field, value):
count = await facet_count(field, value)
active = current_filters[field] == value
if not active and not count:
return None
return {
"label": label,
"count": count,
"href": facet_href(field, value) if active or count else None,
"active": active,
}
async def facet_items(items):
return [
item
for item in [
await facet_item(label, field, value)
for label, field, value in items
]
if item is not None
]
facets = [
{
"title": "Mode",
"items": await facet_items(
[
("Read-only", "is_write", False),
("Writable", "is_write", True),
]
),
},
{
"title": "Visibility",
"items": await facet_items(
[
("Not private", "is_private", False),
("Private", "is_private", True),
]
),
},
]
data = {
"ok": True,
"database": database,
"database_color": (
self.ds.get_database(database).color if database is not None else None
),
"queries": page.queries,
"next": page.next,
"next_url": next_url,
"has_more": page.has_more,
"limit": page.limit,
"show_private_note": any(query.is_private for query in page.queries),
"show_trusted_note": any(query.is_trusted for query in page.queries),
"query_list_path": query_list_path,
"show_database": database is None,
"facets": facets,
"filters": {
"q": request.args.get("q") or "",
"is_write": request.args.get("is_write") or "",
"is_private": request.args.get("is_private") or "",
"source": request.args.get("source") or "",
"owner_id": request.args.get("owner_id") or "",
},
}
if format_ == "json":
return Response.json(
{
**data,
"queries": [stored_query_to_dict(query) for query in page.queries],
}
)
return await self.render(
["query_list.html"],
request,
data,
)
class GlobalQueryListView(QueryListView):
name = "global-query-list"
async def database_name(self, request):
return None
def query_list_path(self, database):
return self.ds.urls.path("/-/queries")
class QueryCreateView(BaseView):
name = "query-create"
has_json_alternate = False
async def _render_form(
self,
request,
db,
*,
sql="",
name="",
title="",
description="",
is_private=True,
status=200,
):
response = await self.render(
["query_create.html"],
request,
await _query_create_form_context(
self.ds,
request,
db,
sql=sql,
name=name,
title=title,
description=description,
is_private=is_private,
),
)
response.status = status
return response
async def get(self, request):
db = await self.ds.resolve_database(request)
await self.ds.ensure_permission(
action="execute-sql",
resource=DatabaseResource(db.name),
actor=request.actor,
)
await self.ds.ensure_permission(
action="store-query",
resource=DatabaseResource(db.name),
actor=request.actor,
)
return await self._render_form(request, db, sql=request.args.get("sql") or "")
class QueryCreateAnalyzeView(BaseView):
name = "query-create-analyze"
has_json_alternate = False
async def get(self, request):
db = await self.ds.resolve_database(request)
if not await self.ds.allowed(
action="execute-sql",
resource=DatabaseResource(db.name),
actor=request.actor,
):
return _block_framing(_error(["Permission denied: need execute-sql"], 403))
if not await self.ds.allowed(
action="store-query",
resource=DatabaseResource(db.name),
actor=request.actor,
):
return _block_framing(_error(["Permission denied: need store-query"], 403))
invalid_keys = set(request.args) - {"sql"}
if invalid_keys:
return _block_framing(
_error(
["Invalid keys: {}".format(", ".join(sorted(invalid_keys)))],
400,
)
)
sql = request.args.get("sql") or ""
return _block_framing(
Response.json(
await _query_create_analysis_data(self.ds, db, sql, request.actor)
)
)
class QueryStoreView(QueryCreateView):
name = "query-store"
async def _error_response(self, request, db, query_data, message, status):
message = _query_create_form_error_message(message)
self.ds.add_message(request, message, self.ds.ERROR)
return await self._render_form(
request,
db,
sql=query_data.get("sql") or "",
name=query_data.get("name") or "",
title=query_data.get("title") or "",
description=query_data.get("description") or "",
is_private=_as_bool(query_data.get("is_private", True)),
status=status,
)
async def post(self, request):
db = await self.ds.resolve_database(request)
if not await self.ds.allowed(
action="execute-sql",
resource=DatabaseResource(db.name),
actor=request.actor,
):
return _error(["Permission denied: need execute-sql"], 403)
if not await self.ds.allowed(
action="store-query",
resource=DatabaseResource(db.name),
actor=request.actor,
):
return _error(["Permission denied: need store-query"], 403)
is_json = False
query_data = {}
try:
data, is_json = await _json_or_form_payload(request)
if not isinstance(data, dict):
raise QueryValidationError("JSON must be a dictionary")
query_data = data.get("query") if is_json else data
if not isinstance(query_data, dict):
raise QueryValidationError("JSON must contain a query dictionary")
prepared = await _prepare_query_create(self.ds, request, db, query_data)
except QueryValidationError as ex:
if not is_json and isinstance(query_data, dict):
return await self._error_response(
request, db, query_data, ex.message, ex.status
)
return _error([ex.message], ex.status)
prepared.pop("analysis")
name = prepared.pop("name")
try:
await self.ds.add_query(db.name, name, replace=False, **prepared)
except sqlite3.IntegrityError as ex:
if not is_json and isinstance(query_data, dict):
return await self._error_response(request, db, query_data, str(ex), 400)
return _error([str(ex)], 400)
query = await self.ds.get_query(db.name, name)
assert query is not None
if is_json:
return Response.json(
{"ok": True, "query": stored_query_to_dict(query)}, status=201
)
self.ds.add_message(request, "Query saved", self.ds.INFO)
return Response.redirect(self.ds.urls.path(self.ds.urls.table(db.name, name)))
class QueryDefinitionView(BaseView):
name = "query-definition"
async def get(self, request):
db = await self.ds.resolve_database(request)
query_name = tilde_decode(request.url_vars["query"])
query = await self.ds.get_query(db.name, query_name)
if query is None:
return _error(["Query not found: {}".format(query_name)], 404)
if not await self.ds.allowed(
action="view-query",
resource=QueryResource(db.name, query_name),
actor=request.actor,
):
return _error(["Permission denied"], 403)
return Response.json({"ok": True, "query": stored_query_to_dict(query)})
class QueryUpdateView(BaseView):
name = "query-update"
async def post(self, request):
db = await self.ds.resolve_database(request)
query_name = tilde_decode(request.url_vars["query"])
existing = await self.ds.get_query(db.name, query_name)
if existing is None:
return _error(["Query not found: {}".format(query_name)], 404)
if not await self.ds.allowed(
action="update-query",
resource=QueryResource(db.name, query_name),
actor=request.actor,
):
return _error(["Permission denied: need update-query"], 403)
if existing.is_trusted:
return _error(["Trusted queries cannot be updated using the API"], 403)
try:
data, _ = await _json_or_form_payload(request)
if not isinstance(data, dict):
raise QueryValidationError("JSON must be a dictionary")
invalid_keys = set(data) - {"update", "return"}
if invalid_keys:
raise QueryValidationError(
"Invalid keys: {}".format(", ".join(invalid_keys))
)
update = data.get("update")
if not isinstance(update, dict):
raise QueryValidationError("JSON must contain an update dictionary")
if "sql" in update and not await self.ds.allowed(
action="execute-sql",
resource=DatabaseResource(db.name),
actor=request.actor,
):
raise QueryValidationError(
"Permission denied: need execute-sql", status=403
)
update_kwargs = await _prepare_query_update(
self.ds, request, db, existing, update
)
except QueryValidationError as ex:
return _error([ex.message], ex.status)
await self.ds.update_query(db.name, query_name, **update_kwargs)
if data.get("return"):
query = await self.ds.get_query(db.name, query_name)
assert query is not None
return Response.json(
{
"ok": True,
"query": stored_query_to_dict(query),
}
)
return Response.json({"ok": True})
class QueryDeleteView(BaseView):
name = "query-delete"
async def post(self, request):
db = await self.ds.resolve_database(request)
query_name = tilde_decode(request.url_vars["query"])
existing = await self.ds.get_query(db.name, query_name)
if existing is None:
return _error(["Query not found: {}".format(query_name)], 404)
if not await self.ds.allowed(
action="delete-query",
resource=QueryResource(db.name, query_name),
actor=request.actor,
):
return _error(["Permission denied: need delete-query"], 403)
await self.ds.remove_query(db.name, query_name)
return Response.json({"ok": True})

View file

@ -134,22 +134,6 @@ async def _redirect_if_needed(datasette, request, resolved):
)
async def _validate_column_types(datasette, database_name, table_name, rows):
"""Validate row values against assigned column types. Returns list of error strings."""
ct_map = await datasette.get_column_types(database_name, table_name)
if not ct_map:
return []
errors = []
for row in rows:
for col_name, ct in ct_map.items():
if col_name not in row:
continue
error = await ct.validate(row[col_name], datasette)
if error:
errors.append(f"{col_name}: {error}")
return errors
async def display_columns_and_rows(
datasette,
database_name,
@ -179,9 +163,6 @@ async def display_columns_and_rows(
)
)
# Look up column types for this table
column_types_map = await datasette.get_column_types(database_name, table_name)
column_details = {
col.name: col for col in await db.table_column_details(table_name)
}
@ -198,21 +179,16 @@ async def display_columns_and_rows(
else:
type_ = column_details[r[0]].type
notnull = column_details[r[0]].notnull
col_dict = {
"name": r[0],
"sortable": r[0] in sortable_columns,
"is_pk": r[0] in pks_for_display,
"type": type_,
"notnull": notnull,
"description": column_descriptions.get(r[0]),
"column_type": None,
"column_type_config": None,
}
ct = column_types_map.get(r[0])
if ct:
col_dict["column_type"] = ct.name
col_dict["column_type_config"] = ct.config
columns.append(col_dict)
columns.append(
{
"name": r[0],
"sortable": r[0] in sortable_columns,
"is_pk": r[0] in pks_for_display,
"type": type_,
"notnull": notnull,
"description": column_descriptions.get(r[0]),
}
)
column_to_foreign_key_table = {
fk["column"]: fk["other_table"]
@ -251,37 +227,23 @@ async def display_columns_and_rows(
# already shown in the link column.
continue
# First try column type render_cell, then plugins
# First let the plugins have a go
# pylint: disable=no-member
plugin_display_value = None
ct = column_types_map.get(column)
if ct:
candidate = await ct.render_cell(
value=value,
column=column,
table=table_name,
database=database_name,
datasette=datasette,
request=request,
)
for candidate in pm.hook.render_cell(
row=row,
value=value,
column=column,
table=table_name,
pks=pks_for_display,
database=database_name,
datasette=datasette,
request=request,
):
candidate = await await_me_maybe(candidate)
if candidate is not None:
plugin_display_value = candidate
if plugin_display_value is None:
for candidate in pm.hook.render_cell(
row=row,
value=value,
column=column,
table=table_name,
pks=pks_for_display,
database=database_name,
datasette=datasette,
request=request,
column_type=ct,
):
candidate = await await_me_maybe(candidate)
if candidate is not None:
plugin_display_value = candidate
break
break
if plugin_display_value:
display_value = plugin_display_value
elif isinstance(value, bytes):
@ -369,7 +331,6 @@ async def display_columns_and_rows(
"is_pk": False,
"type": "",
"notnull": 0,
"is_special_link_column": True,
}
columns = [first_column] + columns
return columns, cell_rows
@ -461,13 +422,6 @@ class TableInsertView(BaseView):
i, '", "'.join(missing_pks)
)
)
null_pks = [pk for pk in pks_list if pk in row and row[pk] is None]
if null_pks:
errors.append(
'Row {} has null primary key column(s): "{}"'.format(
i, '", "'.join(null_pks)
)
)
invalid_columns = set(row.keys()) - columns
if invalid_columns and not extras.get("alter"):
errors.append(
@ -530,13 +484,6 @@ class TableInsertView(BaseView):
if errors:
return _error(errors, 400)
# Validate column types
ct_errors = await _validate_column_types(
self.ds, database_name, table_name, rows
)
if ct_errors:
return _error(ct_errors, 400)
num_rows = len(rows)
# No that we've passed pks to _validate_data it's safe to
@ -673,122 +620,6 @@ class TableUpsertView(TableInsertView):
return await super().post(request, upsert=True)
class TableSetColumnTypeView(BaseView):
name = "table-set-column-type"
def __init__(self, datasette):
self.ds = datasette
async def post(self, request):
try:
resolved = await self.ds.resolve_table(request)
except NotFound as e:
return _error([e.args[0]], 404)
database_name = resolved.db.name
table_name = resolved.table
if not await self.ds.allowed(
action="set-column-type",
resource=TableResource(database=database_name, table=table_name),
actor=request.actor,
):
return _error(["Permission denied"], 403)
content_type = request.headers.get("content-type") or ""
if not content_type.startswith("application/json"):
return _error(["Invalid content-type, must be application/json"], 400)
try:
data = json.loads(await request.post_body())
except json.JSONDecodeError as e:
return _error(["Invalid JSON: {}".format(e)], 400)
if not isinstance(data, dict):
return _error(["JSON must be a dictionary"], 400)
invalid_keys = set(data.keys()) - {"column", "column_type"}
if invalid_keys:
return _error(
['Invalid parameter: "{}"'.format('", "'.join(sorted(invalid_keys)))],
400,
)
if "column" not in data:
return _error(['"column" is required'], 400)
column = data["column"]
if not isinstance(column, str):
return _error(['"column" must be a string'], 400)
if "column_type" not in data:
return _error(['"column_type" is required'], 400)
column_details = await self.ds._get_resource_column_details(
database_name, table_name
)
if column not in column_details:
return _error(["Column not found: {}".format(column)], 400)
column_type_data = data["column_type"]
if column_type_data is None:
await self.ds.remove_column_type(database_name, table_name, column)
return Response.json(
{
"ok": True,
"database": database_name,
"table": table_name,
"column": column,
"column_type": None,
},
status=200,
)
if not isinstance(column_type_data, dict):
return _error(['"column_type" must be an object or null'], 400)
invalid_column_type_keys = set(column_type_data.keys()) - {"type", "config"}
if invalid_column_type_keys:
return _error(
[
'Invalid column_type parameter: "{}"'.format(
'", "'.join(sorted(invalid_column_type_keys))
)
],
400,
)
if "type" not in column_type_data:
return _error(['"column_type.type" is required'], 400)
column_type = column_type_data["type"]
if not isinstance(column_type, str):
return _error(['"column_type.type" must be a string'], 400)
config = column_type_data.get("config")
if config is not None and not isinstance(config, dict):
return _error(['"column_type.config" must be a dictionary'], 400)
if column_type not in self.ds._column_types:
return _error(["Unknown column type: {}".format(column_type)], 400)
try:
await self.ds.set_column_type(
database_name, table_name, column, column_type, config
)
except ValueError as e:
return _error([str(e)], 400)
return Response.json(
{
"ok": True,
"database": database_name,
"table": table_name,
"column": column,
"column_type": {"type": column_type, "config": config},
},
status=200,
)
class TableDropView(BaseView):
name = "table-drop"
@ -963,12 +794,12 @@ async def table_view_traced(datasette, request):
try:
resolved = await datasette.resolve_table(request)
except TableNotFound as not_found:
# Was this actually a stored query?
stored_query = await datasette.get_query(
not_found.database_name, not_found.table
# Was this actually a canned query?
canned_query = await datasette.get_canned_query(
not_found.database_name, not_found.table, request.actor
)
# If this is a stored query, not a table, then dispatch to QueryView instead
if stored_query:
# If this is a canned query, not a table, then dispatch to QueryView instead
if canned_query:
return await QueryView()(request, datasette)
else:
raise
@ -1590,10 +1421,6 @@ async def table_view_data(
"Column names returned by this query"
return columns
async def extra_all_columns():
"All columns in the table, regardless of _col/_nocol filtering"
return list(table_columns)
async def extra_primary_keys():
"Primary keys for this table"
return pks
@ -1669,42 +1496,27 @@ async def table_view_data(
async def extra_render_cell():
"Rendered HTML for each cell using the render_cell plugin hook"
pks_for_display = pks if pks else (["rowid"] if not is_view else [])
col_names = [col[0] for col in results.description]
ct_map = await datasette.get_column_types(database_name, table_name)
columns = [col[0] for col in results.description]
rendered_rows = []
for row in rows:
rendered_row = {}
for value, column in zip(row, col_names):
ct = ct_map.get(column)
for value, column in zip(row, columns):
# Call render_cell plugin hook
plugin_display_value = None
# Try column type render_cell first
if ct:
candidate = await ct.render_cell(
value=value,
column=column,
table=table_name,
database=database_name,
datasette=datasette,
request=request,
)
for candidate in pm.hook.render_cell(
row=row,
value=value,
column=column,
table=table_name,
pks=pks_for_display,
database=database_name,
datasette=datasette,
request=request,
):
candidate = await await_me_maybe(candidate)
if candidate is not None:
plugin_display_value = candidate
if plugin_display_value is None:
for candidate in pm.hook.render_cell(
row=row,
value=value,
column=column,
table=table_name,
pks=pks_for_display,
database=database_name,
datasette=datasette,
request=request,
column_type=ct,
):
candidate = await await_me_maybe(candidate)
if candidate is not None:
plugin_display_value = candidate
break
break
if plugin_display_value:
rendered_row[column] = str(plugin_display_value)
rendered_rows.append(rendered_row)
@ -1717,58 +1529,6 @@ async def table_view_data(
"params": params,
}
async def extra_column_types():
"Column type assignments for this table"
ct_map = await datasette.get_column_types(database_name, table_name)
return {
col_name: {
"type": ct.name,
"config": ct.config,
}
for col_name, ct in ct_map.items()
}
async def extra_set_column_type_ui():
"Column type UI metadata for this table"
if is_view:
return None
if not await datasette.allowed(
action="set-column-type",
resource=TableResource(database=database_name, table=table_name),
actor=request.actor,
):
return None
column_details = await datasette._get_resource_column_details(
database_name, table_name
)
ct_map = await datasette.get_column_types(database_name, table_name)
columns = {}
for column_name, column_detail in column_details.items():
current = ct_map.get(column_name)
columns[column_name] = {
"current": (
{"type": current.name, "config": current.config}
if current is not None
else None
),
"options": [
{
"name": name,
"description": ct_cls.description,
}
for name, ct_cls in sorted(datasette._column_types.items())
if datasette._column_type_is_applicable(ct_cls, column_detail)
],
}
return {
"path": "{}/-/set-column-type".format(
datasette.urls.table(database_name, table_name)
),
"columns": columns,
}
async def extra_metadata():
"Metadata about the table and database"
tablemetadata = await datasette.get_resource_metadata(database_name, table_name)
@ -1820,35 +1580,11 @@ async def table_view_data(
]
async def extra_sorted_facet_results(extra_facet_results):
facet_configs = table_metadata.get("facets", [])
if facet_configs:
# Build ordered list of facet names from metadata config
metadata_facet_names = []
for fc in facet_configs:
if isinstance(fc, str):
metadata_facet_names.append(fc)
elif isinstance(fc, dict):
metadata_facet_names.append(list(fc.values())[0])
metadata_order = {name: i for i, name in enumerate(metadata_facet_names)}
metadata_facets = []
request_facets = []
for f in extra_facet_results["results"].values():
if f["name"] in metadata_order:
metadata_facets.append(f)
else:
request_facets.append(f)
metadata_facets.sort(key=lambda f: metadata_order[f["name"]])
request_facets.sort(
key=lambda f: (len(f["results"]), f["name"]),
reverse=True,
)
return metadata_facets + request_facets
else:
return sorted(
extra_facet_results["results"].values(),
key=lambda f: (len(f["results"]), f["name"]),
reverse=True,
)
return sorted(
extra_facet_results["results"].values(),
key=lambda f: (len(f["results"]), f["name"]),
reverse=True,
)
async def extra_table_definition():
return await db.get_table_definition(table_name)
@ -1948,10 +1684,8 @@ async def table_view_data(
"is_view",
"private",
"primary_keys",
"all_columns",
"expandable_columns",
"form_hidden_args",
"set_column_type_ui",
]
}
@ -1970,7 +1704,6 @@ async def table_view_data(
extra_human_description_en,
extra_next_url,
extra_columns,
extra_all_columns,
extra_primary_keys,
run_display_columns_and_rows,
extra_display_columns,
@ -1979,8 +1712,6 @@ async def table_view_data(
extra_debug,
extra_request,
extra_query,
extra_column_types,
extra_set_column_type_ui,
extra_metadata,
extra_extras,
extra_database,
@ -2014,18 +1745,7 @@ async def table_view_data(
}
)
raw_sqlite_rows = rows[:page_size]
# Apply transform_value for columns with assigned types
ct_map = await datasette.get_column_types(database_name, table_name)
transformed_rows = []
for r in raw_sqlite_rows:
row_dict = dict(r)
for col_name, ct in ct_map.items():
if col_name in row_dict:
row_dict[col_name] = await ct.transform_value(
row_dict[col_name], datasette
)
transformed_rows.append(row_dict)
data["rows"] = transformed_rows
data["rows"] = [dict(r) for r in raw_sqlite_rows]
if context_for_html_hack:
data.update(extra_context_from_filters)

View file

@ -33,7 +33,7 @@ The one exception is the "root" account, which you can sign into while using Dat
The ``--root`` flag is designed for local development and testing. When you start Datasette with ``--root``, the root user automatically receives every permission, including:
* All view permissions (``view-instance``, ``view-database``, ``view-table``, etc.)
* All write permissions (``insert-row``, ``update-row``, ``delete-row``, ``create-table``, ``alter-table``, ``set-column-type``, ``drop-table``)
* All write permissions (``insert-row``, ``update-row``, ``delete-row``, ``create-table``, ``alter-table``, ``drop-table``)
* Debug permissions (``permissions-debug``, ``debug-menu``)
* Any custom permissions defined by plugins
@ -121,7 +121,7 @@ This configuration will deny access to everyone except the user with ``id`` of `
How permissions are resolved
----------------------------
Datasette performs permission checks using the internal :ref:`datasette_allowed`, method which accepts keyword arguments for ``action``, ``resource`` and an optional ``actor``.
Datasette performs permission checks using the internal :ref:`datasette_allowed`, method which accepts keyword arguments for ``action``, ``resource`` and an optional ``actor``.
``resource`` should be an instance of the appropriate ``Resource`` subclass from :mod:`datasette.resources`—for example ``InstanceResource()``, ``DatabaseResource(database="...``)`` or ``TableResource(database="...", table="...")``. This defaults to ``InstanceResource()`` if not specified.
@ -468,7 +468,7 @@ You can control the following:
* Access to the entire Datasette instance
* Access to specific databases
* Access to specific tables and views
* Access to specific :ref:`queries <queries>`
* Access to specific :ref:`canned_queries`
If a user has permission to view a table they will be able to view that table, independent of if they have permission to view the database or instance that the table exists within.
@ -641,12 +641,12 @@ This works for SQL views as well - you can list their names in the ``"tables"``
.. _authentication_permissions_query:
Access to specific queries
--------------------------
Access to specific canned queries
---------------------------------
:ref:`Queries <queries>` allow you to configure named SQL queries in your ``datasette.yaml`` that can be executed by users. These queries can be set up to both read and write to the database, so controlling who can execute them can be important.
:ref:`canned_queries` allow you to configure named SQL queries in your ``datasette.yaml`` that can be executed by users. These queries can be set up to both read and write to the database, so controlling who can execute them can be important.
To limit access to the ``add_name`` query in your ``dogs.db`` database to just the :ref:`root user<authentication_root>`:
To limit access to the ``add_name`` canned query in your ``dogs.db`` database to just the :ref:`root user<authentication_root>`:
.. [[[cog
config_example(cog, """
@ -886,8 +886,6 @@ To grant ``create-table`` to the user with ``id`` of ``editor`` for the ``docs``
}
.. [[[end]]]
Other table-scoped write permissions, including ``set-column-type``, can be configured in the same place.
And for ``insert-row`` against the ``reports`` table in that ``docs`` database:
.. [[[cog
@ -1020,7 +1018,7 @@ You can also restrict permissions such that they can only be used within specifi
The resulting token will only be able to insert rows, and only to tables in the ``mydatabase`` database.
Finally, you can restrict permissions to individual resources - tables, SQL views and :ref:`named queries <queries>` - within a specific database::
Finally, you can restrict permissions to individual resources - tables, SQL views and :ref:`named queries <canned_queries>` - within a specific database::
datasette create-token root --resource mydatabase mytable insert-row
@ -1074,7 +1072,6 @@ cannot grant new access. If the underlying actor is denied by ``allow`` rules in
``datasette.yaml`` or by a plugin, a token that lists that resource in its
``"_r"`` section will still be denied.
To create tokens with restrictions in Python code, use the :ref:`TokenRestrictions <TokenRestrictions>` builder and pass it to :ref:`datasette.create_token() <datasette_create_token>`.
.. _permissions_plugins:
@ -1285,46 +1282,12 @@ Actor is allowed to view a table (or view) page, e.g. https://latest.datasette.i
view-query
----------
Actor is allowed to view a stored query page, e.g. https://latest.datasette.io/fixtures/pragma_cache_size. Executing an untrusted stored query also requires ``execute-sql`` or the relevant write permissions; :ref:`trusted stored queries <trusted_stored_queries>` can execute with ``view-query`` alone.
Actor is allowed to view (and execute) a :ref:`canned query <canned_queries>` page, e.g. https://latest.datasette.io/fixtures/pragma_cache_size - this includes executing :ref:`canned_queries_writable`.
``resource`` - ``datasette.resources.QueryResource(database, query)``
``database`` is the name of the database (string)
``query`` is the name of the query (string)
.. _actions_store_query:
store-query
-----------
Actor is allowed to create stored queries against a database.
``resource`` - ``datasette.resources.DatabaseResource(database)``
``database`` is the name of the database (string)
.. _actions_update_query:
update-query
------------
Actor is allowed to update a stored query.
``resource`` - ``datasette.resources.QueryResource(database, query)``
``database`` is the name of the database (string)
``query`` is the name of the query (string)
.. _actions_delete_query:
delete-query
------------
Actor is allowed to delete a stored query.
``resource`` - ``datasette.resources.QueryResource(database, query)``
``database`` is the name of the database (string)
``query`` is the name of the query (string)
``query`` is the name of the canned query (string)
.. _actions_insert_row:
@ -1379,18 +1342,6 @@ alter-table
Actor is allowed to alter a database table.
``resource`` - ``datasette.resources.TableResource(database, table)``
``database`` is the name of the database (string)
``table`` is the name of the table (string)
.. _actions_set_column_type:
set-column-type
---------------
Actor is allowed to set assigned :ref:`column types <table_configuration_column_types>` for columns in a table.
``resource`` - ``datasette.resources.TableResource(database, table)``
``database`` is the name of the database (string)
@ -1413,23 +1364,13 @@ Actor is allowed to drop a database table.
execute-sql
-----------
Actor is allowed to run arbitrary read-only SQL queries against a specific database, e.g. https://latest.datasette.io/fixtures/-/query?sql=select+100
Actor is allowed to run arbitrary SQL queries against a specific database, e.g. https://latest.datasette.io/fixtures/-/query?sql=select+100
``resource`` - ``datasette.resources.DatabaseResource(database)``
``database`` is the name of the database (string)
See also :ref:`the default_allow_sql setting <setting_default_allow_sql>`.
.. _actions_execute_write_sql:
execute-write-sql
-----------------
Actor is allowed to run arbitrary writable SQL queries against a specific database, subject to table-level write permissions such as ``insert-row``, ``update-row`` and ``delete-row``.
``resource`` - ``datasette.resources.DatabaseResource(database)``
``database`` is the name of the database (string)
.. _actions_permissions_debug:
permissions-debug
@ -1442,4 +1383,4 @@ Actor is allowed to view the ``/-/permissions`` debug tools.
debug-menu
----------
Controls if the various debug pages are displayed in the jump menu.
Controls if the various debug pages are displayed in the navigation menu.

View file

@ -4,177 +4,6 @@
Changelog
=========
.. _v1_0_unreleased:
Unreleased
----------
Stored queries
~~~~~~~~~~~~~~
- The previous "canned queries" feature has been renamed and expanded into :ref:`stored queries <stored_queries>`. Queries configured in ``datasette.yaml`` are now loaded into a new ``queries`` table in Datasette's :ref:`internal database <internals_internal_schema>`, alongside user-created stored queries. (:issue:`2735`)
- New stored query management APIs: ``datasette.add_query()``, ``datasette.update_query()``, ``datasette.remove_query()``, ``datasette.get_query()``, ``datasette.list_queries()`` and ``datasette.count_queries()``. These replace the removed ``datasette.get_canned_query()`` and ``datasette.get_canned_queries()`` methods. (:issue:`2735`)
- Users with :ref:`store-query <actions_store_query>` and :ref:`execute-sql <actions_execute_sql>` permission can create stored queries from the SQL query page or the new ``GET /<database>/-/queries/store`` form. (:issue:`2735`)
- The database page now shows a count and preview of stored queries, capped at five, and links to new paginated query browsers at ``/-/queries`` and ``/<database>/-/queries``. Those browsers support search. (:issue:`2735`)
- Stored queries created by users default to private and untrusted. Private stored queries can only be viewed, updated or deleted by their owner, even if another actor has broad ``view-query``, ``update-query`` or ``delete-query`` permission. Untrusted stored queries execute using the permissions of the actor running them. See :ref:`stored_queries` and :ref:`trusted_stored_queries` for details. (:issue:`2735`)
- New ``store-query``, ``update-query`` and ``delete-query`` permissions, plus updated semantics for :ref:`view-query <actions_view_query>`. Trusted stored queries can still execute with ``view-query`` alone; untrusted read queries also require :ref:`execute-sql <actions_execute_sql>` and untrusted writable queries require :ref:`execute-write-sql <actions_execute_write_sql>` plus the relevant table-level write permissions. (:issue:`2735`)
Write SQL UI
~~~~~~~~~~~~
- New "Write to this database" interface at ``/<database>/-/execute-write`` for running arbitrary writable SQL against mutable databases. The form extracts named parameters, analyzes the SQL, shows the table operations that will be attempted and links to a newly inserted row when a single-row insert succeeds. (:issue:`2742`)
- Added the new :ref:`execute-write-sql <actions_execute_write_sql>` permission for running arbitrary writable SQL. Execution is also gated by table-level permissions such as :ref:`insert-row <actions_insert_row>`, :ref:`update-row <actions_update_row>` and :ref:`delete-row <actions_delete_row>`, and writes to attached databases are rejected. (:issue:`2742`)
Plugin API changes
~~~~~~~~~~~~~~~~~~
- The ``top_canned_query()`` plugin hook has been renamed to :ref:`top_stored_query() <plugin_hook_top_stored_query>`. (:issue:`2747`)
- The ``canned_queries()`` plugin hook has been removed. Plugins can use the new :ref:`stored query management methods <datasette_stored_queries>` together with :ref:`startup() <plugin_hook_startup>` to register queries. (:issue:`2735`)
Bug fixes
~~~~~~~~~
- Fixed a bug where visiting ``/<database>/-/query`` without a ``?sql=`` parameter returned a 500 error. (:issue:`2743`)
.. _v1_0_a30:
1.0a30 (2026-05-24)
-------------------
The "Jump to" menu, activated by hitting ``/`` or through the application menu, can now be extended by plugins.
- New "Jump to..." menu item, always visible, for triggering the previously undocumented ``/`` menu. (:issue:`2725`)
- The ``/`` jump-to search interface now covers databases, views, canned queries and plugin-provided items in addition to tables. The endpoint backing it has been renamed from ``/-/tables`` to ``/-/jump``.
- New :ref:`plugin_hook_jump_items_sql` plugin hook, allowing plugins to contribute additional items to the jump-to menu by returning SQL. ``JumpSQL`` queries run against Datasette's internal database by default, or can target another database using the optional ``database=`` argument. (:issue:`2731`)
- ``datasette.jump.JumpSQL.menu_item()`` is a shortcut for adding individual jump menu items that are not backed by resources in the internal catalog.
- New :ref:`javascript_plugins_makeJumpSections` JavaScript plugin hook, allowing plugins to add custom blank-state sections to the jump-to menu before the user has typed a query.
- Debug menu links now appear in the jump-to menu instead of the top-right app menu, with descriptions for each debug item.
- Dropped Janus as a dependency, previously used to manage the write queue. This should not have any impact on plugin developers or end-users. (:issue:`1752`)
- Fixed a bug where stale tables and other related resources were not removed from ``catalog_*`` tables when a database was removed. (:issue:`2723`)
- New documented :ref:`datasette.fixtures.populate_fixture_database(conn) <datasette_fixtures_populate_fixture_database>` helper for creating the fixture database tables used by Datasette's own tests, intended for plugin test suites.
- Keyboard accessibility and ARIA roles for actions menus, thanks `pintaste <https://github.com/pintaste>`__. (:pr:`2727`)
.. _v1_0_a29:
1.0a29 (2026-05-12)
-------------------
- New ``TokenRestrictions.abbreviated(datasette)`` :ref:`utility method <TokenRestrictions>` for creating ``"_r"`` dictionaries. (:issue:`2695`)
- Table headers and column options are now visible even if a table contains zero rows. (:issue:`2701`)
- Fixed bug with display of column actions dialog on Mobile Safari. (:issue:`2708`)
- Fixed bug where tests could crash with a segfault due to a race condition between ``Datasette.close()`` and ``Datasette.close()``. (:issue:`2709`)
.. _v1_0_a28:
1.0a28 (2026-04-16)
-------------------
- Fixed a compatibility bug introduced in 1.0a27 where ``execute_write_fn()`` callbacks with a parameter name other than ``conn`` were seeing errors. (:issue:`2691`)
- The :ref:`database.close() <database_close>` method now also shuts down the write connection for that database.
- New :ref:`datasette.close() <datasette_close>` method for closing down all databases and resources associated with a Datasette instance. This is called automatically when the server shuts down. (:pr:`2693`)
- Datasette now includes a pytest plugin which automatically calls ``datasette.close()`` on temporary instances created in function-scoped fixtures and during tests. See :ref:`testing_plugins_autoclose` for details. This helps avoid running out of file descriptors in plugin test suites that were written before the ``Database(is_temp_disk=True)`` feature introduced in Datasette 1.0a27. (:issue:`2692`)
.. _v1_0_a27:
1.0a27 (2026-04-15)
-------------------
CSRF protection no longer uses CSRF tokens
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Datasette's token-based CSRF protection has been replaced with a mechanism based on the ``Sec-Fetch-Site`` and ``Origin`` request headers, which are `supported by all modern browsers <https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/Sec-Fetch-Site>`__. See `this article by Filippo Valsorda <https://words.filippo.io/csrf/>`__ for more details of this approach. This removes the need for CSRF tokens in forms and AJAX requests. (:pr:`2689`)
``RenameTableEvent`` when a table is renamed
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Renaming a table within Datasette will now fire a new :class:`~datasette.events.RenameTableEvent`, which plugins can use to react by updating ACL records or re-assigning comments or other associated records to the new table name. (:issue:`2681`)
This event will not be fired if the table is renamed by SQL running in some other process.
The ``datasette.track_event()`` method can now be called from within a write operation (using :ref:`database.execute_write() <database_execute_write>` and related methods) and the event will be fired after the write transaction has successfully committed. (:pr:`2682`)
Other changes
~~~~~~~~~~~~~
- New :ref:`actor= parameter <internals_datasette_client_actor>` for ``datasette.client`` methods, allowing internal requests to be made as a specific actor. This is particularly useful for writing automated tests. (:pr:`2688`)
- New ``Database(is_temp_disk=True)`` option, used internally for the internal database. This helps resolve intermittent database locked errors caused by the internal database being in-memory as opposed to on-disk. (:issue:`2683`) (:pr:`2684`)
- The ``/<database>/<table>/-/upsert`` API (:ref:`docs <TableUpsertView>`) now rejects rows with ``null`` primary key values. (:issue:`1936`)
- Improved example in the API explorer for the ``/-/upsert`` endpoint (:ref:`docs <TableUpsertView>`). (:issue:`1936`)
- The ``/<database>.json`` endpoint now includes an ``"ok": true`` key, for consistency with other JSON API responses.
- :ref:`call_with_supported_arguments() <internals_utils_call_with_supported_arguments>` is now documented as a supported public API. (:pr:`2678`)
.. _v1_0_a26:
1.0a26 (2026-03-18)
-------------------
New ``column_types`` system
~~~~~~~~~~~~~~~~~~~~~~~~~~~
Table columns can now have custom column types assigned to them, using the new ``column_types`` table configuration option or at runtime using a new UI and ``POST /<database>/<table>/-/set-column-type`` JSON API.
Built-in column types include ``url``, ``email``, and ``json``, and plugins can register additional types using the new :ref:`register_column_types() <plugin_register_column_types>` plugin hook. (:issue:`2664`, :issue:`2671`)
Column types can customize HTML rendering, validate values written through the insert, update, and upsert APIs, and transform values returned by the JSON API. They can optionally restrict themselves to specific SQLite column types using ``sqlite_types``. This feature also introduces a new :ref:`set-column-type <actions_set_column_type>` permission for assigning column types to a table. (:issue:`2672`)
The :ref:`render_cell() <plugin_hook_render_cell>` plugin hook now receives a ``column_type`` argument containing the assigned type instance, and a column type's own ``render_cell()`` method takes priority over the plugin hook chain.
The `datasette-files <https://github.com/datasette/datasette-files>`__ plugin will be the first to use this new feature.
UI for selecting columns and their order
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Table and view pages now include a dialog for selecting and re-ordering visible columns. (:issue:`2661`)
Other changes
~~~~~~~~~~~~~
- Fixed ``allowed_resources("view-query", actor)`` so actor-specific canned queries are returned correctly. Any plugin that defines a ``resources_sql()`` method on a ``Resource`` subclass needs to update to the new signature, see :ref:`the resources_sql() method<plugin_resources_sql>` documentation for details.
- Column actions can now be accessed in mobile view via a new "Column actions" button. Previously they were not available on mobile because table headers are not displayed there. (:issue:`2669`, :issue:`2670`)
- Row pages now render foreign key values as links to the referenced row. (:issue:`1592`)
- The ``startup()`` plugin hook now fires after metadata and internal schema tables have been populated, so plugins can reliably inspect that state during startup. (:issue:`2666`)
.. _v1_0_a25:
1.0a25 (2026-02-25)
-------------------
``write_wrapper()`` plugin hook for intercepting write operations
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
A new :ref:`write_wrapper() <plugin_hook_write_wrapper>` plugin hook allows plugins to intercept and wrap database write operations. (:pr:`2636`)
Plugins implement the hook as a generator-based context manager:
.. code-block:: python
@hookimpl
def write_wrapper(datasette, database, request):
def wrapper(conn):
# Setup code runs before the write
yield
# Cleanup code runs after the write
return wrapper
``register_token_handler()`` plugin hook for custom API token backends
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
A new :ref:`register_token_handler() <plugin_hook_register_token_handler>` plugin hook allows plugins to provide custom token backends for API authentication. (:pr:`2650`)
This includes a **backwards incompatible change**: the ``datasette.create_token()`` internal method is now an ``async`` method. Consult the :ref:`upgrade guide <upgrade_guide_v1_a25>` for details on how to update your code.
``render_cell()`` now receives a ``pks`` parameter
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The :ref:`render_cell() <plugin_hook_render_cell>` plugin hook now receives a ``pks`` parameter containing the list of primary key column names for the table being rendered. This avoids plugins needing to make redundant async calls to look up primary keys. (:pr:`2641`)
Other changes
~~~~~~~~~~~~~
- Facets defined in metadata now preserve their configured order, instead of being sorted by result count. Request-based facets added via the ``_facet`` parameter are still sorted by result count and appear after metadata-defined facets. (:issue:`2647`)
- Fixed ``--reload`` incorrectly interpreting the ``serve`` command as a file argument. Thanks, `Daniel Bates <https://github.com/danielalanbates>`__. (:pr:`2646`)
.. _v1_0_a24:
1.0a24 (2026-01-29)
@ -183,7 +12,7 @@ Other changes
``request.form()`` method for POST data and file uploads
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Datasette now includes a ``request.form()`` method for parsing form submissions, including handling file uploads. (:pr:`2626`)
Datasette now includes a ``request.form()`` method for parsing form submissions, including handling file uploads. (`#2626 <https://github.com/simonw/datasette/pull/2626>`__)
This supports both ``application/x-www-form-urlencoded`` and ``multipart/form-data`` content types, and uses a new streaming multipart parser that processes uploads without buffering entire request bodies in memory.
@ -334,7 +163,7 @@ Other changes
- Fixed bug where ``link:`` HTTP headers used invalid syntax. (:issue:`2470`)
- No longer tested against Python 3.8. Now tests against Python 3.13.
- FTS tables are now hidden by default if they correspond to a content table. (:issue:`2477`)
- Fixed bug with foreign key links to rows in databases with filenames containing a special character. Thanks, `Jack Stratton <https://github.com/phroa>`__. (:pr:`2476`)
- Fixed bug with foreign key links to rows in databases with filenames containing a special character. Thanks, `Jack Stratton <https://github.com/phroa>`__. (`#2476 <https://github.com/simonw/datasette/pull/2476>`__)
.. _v1_0_a17:
@ -377,7 +206,7 @@ Other changes
This release focuses on performance, in particular against large tables, and introduces some minor breaking changes for CSS styling in Datasette plugins.
- Removed the unit conversions feature and its dependency, Pint. This means Datasette is now compatible with the upcoming Python 3.13. (:issue:`2400`, :issue:`2320`)
- The ``datasette --pdb`` option now uses the `ipdb <https://github.com/gotcha/ipdb>`__ debugger if it is installed. You can install it using ``datasette install ipdb``. Thanks, `Tiago Ilieve <https://github.com/myhro>`__. (:pr:`2342`)
- The ``datasette --pdb`` option now uses the `ipdb <https://github.com/gotcha/ipdb>`__ debugger if it is installed. You can install it using ``datasette install ipdb``. Thanks, `Tiago Ilieve <https://github.com/myhro>`__. (`#2342 <https://github.com/simonw/datasette/pull/2342>`__)
- Fixed a confusing error that occurred if ``metadata.json`` contained nested objects. (:issue:`2403`)
- Fixed a bug with ``?_trace=1`` where it returned a blank page if the response was larger than 256KB. (:issue:`2404`)
- Tracing mechanism now also displays SQL queries that returned errors or ran out of time. `datasette-pretty-traces 0.5 <https://github.com/simonw/datasette-pretty-traces/releases/tag/0.5>`__ includes support for displaying this new type of trace. (:issue:`2405`)
@ -407,7 +236,7 @@ This release focuses on performance, in particular against large tables, and int
- Failed CSRF checks now display a more user-friendly error page. (:issue:`2390`)
- Fixed a bug where the ``json1`` extension was not correctly detected on the ``/-/versions`` page. Thanks, `Seb Bacon <https://github.com/sebbacon>`__. (:issue:`2326`)
- Fixed a bug where the Datasette write API did not correctly accept ``Content-Type: application/json; charset=utf-8``. (:issue:`2384`)
- Fixed a bug where Datasette would fail to start if ``metadata.yml`` contained a ``queries`` block. (:pr:`2386`)
- Fixed a bug where Datasette would fail to start if ``metadata.yml`` contained a ``queries`` block. (`#2386 <https://github.com/simonw/datasette/pull/2386>`__)
.. _v1_0_a14:
@ -420,13 +249,13 @@ This alpha introduces significant changes to Datasette's :ref:`metadata` system,
- Metadata about tables, databases, instances and columns is now stored in :ref:`internals_internal`. Thanks, Alex Garcia. (:issue:`2341`)
- Database write connections now execute using the ``IMMEDIATE`` isolation level for SQLite. This should help avoid a rare ``SQLITE_BUSY`` error that could occur when a transaction upgraded to a write mid-flight. (:issue:`2358`)
- Fix for a bug where canned queries with named parameters could fail against SQLite 3.46. (:issue:`2353`)
- Datasette now serves ``E-Tag`` headers for static files. Thanks, `Agustin Bacigalup <https://github.com/redraw>`__. (:pr:`2306`)
- Datasette now serves ``E-Tag`` headers for static files. Thanks, `Agustin Bacigalup <https://github.com/redraw>`__. (`#2306 <https://github.com/simonw/datasette/pull/2306>`__)
- Dropdown menus now use a ``z-index`` that should avoid them being hidden by plugins. (:issue:`2311`)
- Incorrect table and row names are no longer reflected back on the resulting 404 page. (:issue:`2359`)
- Improved documentation for async usage of the :ref:`plugin_hook_track_event` hook. (:issue:`2319`)
- Fixed some HTTPX deprecation warnings. (:issue:`2307`)
- Datasette now serves a ``<html lang="en">`` attribute. Thanks, `Charles Nepote <https://github.com/CharlesNepote>`__. (:issue:`2348`)
- Datasette's automated tests now run against the maximum and minimum supported versions of SQLite: 3.25 (from September 2018) and 3.46 (from May 2024). Thanks, Alex Garcia. (:pr:`2352`)
- Datasette's automated tests now run against the maximum and minimum supported versions of SQLite: 3.25 (from September 2018) and 3.46 (from May 2024). Thanks, Alex Garcia. (`#2352 <https://github.com/simonw/datasette/pull/2352>`__)
- Fixed an issue where clicking twice on the URL output by ``datasette --root`` produced a confusing error. (:issue:`2375`)
.. _v0_64_8:
@ -567,7 +396,7 @@ Configuration
- The ``-s/--setting`` option can now be used to set plugin configuration as well. See :ref:`configuration_cli` for details. (:issue:`2252`)
The above YAML configuration example using ``-s/--setting`` looks like this:
.. code-block:: bash
datasette mydatabase.db \
@ -590,7 +419,7 @@ This provides two initial hooks, with more to come in the future:
- :ref:`makeAboveTablePanelConfigs() <javascript_plugins_makeAboveTablePanelConfigs>` can add additional panels to the top of the table page.
- :ref:`makeColumnActions() <javascript_plugins_makeColumnActions>` can add additional actions to the column menu.
Thanks `Cameron Yick <https://github.com/hydrosquall>`__ for contributing this feature. (:pr:`2052`)
Thanks `Cameron Yick <https://github.com/hydrosquall>`__ for contributing this feature. (`#2052 <https://github.com/simonw/datasette/pull/2052>`__)
Plugin hooks
~~~~~~~~~~~~
@ -656,7 +485,7 @@ Minor fixes
- Datasette now checks if the user has permission to view a table linked to by a foreign key before turning that foreign key into a clickable link. (:issue:`2178`)
- The ``execute-sql`` permission now implies that the actor can also view the database and instance. (:issue:`2169`)
- Documentation describing a pattern for building plugins that themselves :ref:`define further hooks <writing_plugins_extra_hooks>` for other plugins. (:issue:`1765`)
- Datasette is now tested against the Python 3.12 preview. (:pr:`2175`)
- Datasette is now tested against the Python 3.12 preview. (`#2175 <https://github.com/simonw/datasette/pull/2175>`__)
.. _v1_0_a5:
@ -681,7 +510,7 @@ For more information and workarounds, read `the security advisory <https://githu
Also in this alpha:
- The new ``datasette plugins --requirements`` option outputs a list of currently installed plugins in Python ``requirements.txt`` format, useful for duplicating that installation elsewhere. (:issue:`2133`)
- :ref:`queries_writable` can now define a ``on_success_message_sql`` field in their configuration, containing a SQL query that should be executed upon successful completion of the write operation in order to generate a message to be shown to the user. (:issue:`2138`)
- :ref:`canned_queries_writable` can now define a ``on_success_message_sql`` field in their configuration, containing a SQL query that should be executed upon successful completion of the write operation in order to generate a message to be shown to the user. (:issue:`2138`)
- The automatically generated border color for a database is now shown in more places around the application. (:issue:`2119`)
- Every instance of example shell script code in the documentation should now include a working copy button, free from additional syntax. (:issue:`2140`)
@ -859,11 +688,11 @@ Features
~~~~~~~~
- Now tested against Python 3.11. Docker containers used by ``datasette publish`` and ``datasette package`` both now use that version of Python. (:issue:`1853`)
- ``--load-extension`` option now supports entrypoints. Thanks, Alex Garcia. (:pr:`1789`)
- ``--load-extension`` option now supports entrypoints. Thanks, Alex Garcia. (`#1789 <https://github.com/simonw/datasette/pull/1789>`__)
- Facet size can now be set per-table with the new ``facet_size`` table metadata option. (:issue:`1804`)
- The :ref:`setting_truncate_cells_html` setting now also affects long URLs in columns. (:issue:`1805`)
- The non-JavaScript SQL editor textarea now increases height to fit the SQL query. (:issue:`1786`)
- Facets are now displayed with better line-breaks in long values. Thanks, Daniel Rech. (:pr:`1794`)
- Facets are now displayed with better line-breaks in long values. Thanks, Daniel Rech. (`#1794 <https://github.com/simonw/datasette/pull/1794>`__)
- The ``settings.json`` file used in :ref:`config_dir` is now validated on startup. (:issue:`1816`)
- SQL queries can now include leading SQL comments, using ``/* ... */`` or ``-- ...`` syntax. Thanks, Charles Nepote. (:issue:`1860`)
- SQL query is now re-displayed when terminated with a time limit error. (:issue:`1819`)
@ -885,7 +714,7 @@ Documentation
- New tutorial: `Cleaning data with sqlite-utils and Datasette <https://datasette.io/tutorials/clean-data>`__.
- Screenshots in the documentation are now maintained using `shot-scraper <https://shot-scraper.datasette.io/>`__, as described in `Automating screenshots for the Datasette documentation using shot-scraper <https://simonwillison.net/2022/Oct/14/automating-screenshots/>`__. (:issue:`1844`)
- More detailed command descriptions on the :ref:`CLI reference <cli_reference>` page. (:issue:`1787`)
- New documentation on :ref:`deploying_openrc` - thanks, Adam Simpson. (:pr:`1825`)
- New documentation on :ref:`deploying_openrc` - thanks, Adam Simpson. (`#1825 <https://github.com/simonw/datasette/pull/1825>`__)
.. _v0_62:
@ -901,14 +730,14 @@ Features
- Datasette is now compatible with `Pyodide <https://pyodide.org/>`__. This is the enabling technology behind `Datasette Lite <https://lite.datasette.io/>`__. (:issue:`1733`)
- Database file downloads now implement conditional GET using ETags. (:issue:`1739`)
- HTML for facet results and suggested results has been extracted out into new templates ``_facet_results.html`` and ``_suggested_facets.html``. Thanks, M. Nasimul Haque. (:pr:`1759`)
- HTML for facet results and suggested results has been extracted out into new templates ``_facet_results.html`` and ``_suggested_facets.html``. Thanks, M. Nasimul Haque. (`#1759 <https://github.com/simonw/datasette/pull/1759>`__)
- Datasette now runs some SQL queries in parallel. This has limited impact on performance, see `this research issue <https://github.com/simonw/datasette/issues/1727>`__ for details.
- New ``--nolock`` option for ignoring file locks when opening read-only databases. (:issue:`1744`)
- Spaces in the database names in URLs are now encoded as ``+`` rather than ``~20``. (:issue:`1701`)
- ``<Binary: 2427344 bytes>`` is now displayed as ``<Binary: 2,427,344 bytes>`` and is accompanied by tooltip showing "2.3MB". (:issue:`1712`)
- The base Docker image used by ``datasette publish cloudrun``, ``datasette package`` and the `official Datasette image <https://hub.docker.com/datasetteproject/datasette>`__ has been upgraded to ``3.10.6-slim-bullseye``. (:issue:`1768`)
- Canned writable queries against immutable databases now show a warning message. (:issue:`1728`)
- ``datasette publish cloudrun`` has a new ``--timeout`` option which can be used to increase the time limit applied by the Google Cloud build environment. Thanks, Tim Sherratt. (:pr:`1717`)
- ``datasette publish cloudrun`` has a new ``--timeout`` option which can be used to increase the time limit applied by the Google Cloud build environment. Thanks, Tim Sherratt. (`#1717 <https://github.com/simonw/datasette/pull/1717>`__)
- ``datasette publish cloudrun`` has new ``--min-instances`` and ``--max-instances`` options. (:issue:`1779`)
Plugin hooks
@ -916,7 +745,7 @@ Plugin hooks
- New plugin hook: :ref:`handle_exception() <plugin_hook_handle_exception>`, for custom handling of exceptions caught by Datasette. (:issue:`1770`)
- The :ref:`render_cell() <plugin_hook_render_cell>` plugin hook is now also passed a ``row`` argument, representing the ``sqlite3.Row`` object that is being rendered. (:issue:`1300`)
- The :ref:`configuration directory <config_dir>` is now stored in ``datasette.config_dir``, making it available to plugins. Thanks, Chris Amico. (:pr:`1766`)
- The :ref:`configuration directory <config_dir>` is now stored in ``datasette.config_dir``, making it available to plugins. Thanks, Chris Amico. (`#1766 <https://github.com/simonw/datasette/pull/1766>`__)
Bug fixes
~~~~~~~~~
@ -969,7 +798,7 @@ Datasette also now requires Python 3.7 or higher.
- Common Datasette symbols can now be imported directly from the top-level ``datasette`` package, see :ref:`internals_shortcuts`. Those symbols are ``Response``, ``Forbidden``, ``NotFound``, ``hookimpl``, ``actor_matches_allow``. (:issue:`957`)
- ``/-/versions`` page now returns additional details for libraries used by SpatiaLite. (:issue:`1607`)
- Documentation now links to the `Datasette Tutorials <https://datasette.io/tutorials>`__.
- Datasette will now also look for SpatiaLite in ``/opt/homebrew`` - thanks, Dan Peterson. (:pr:`1649`)
- Datasette will now also look for SpatiaLite in ``/opt/homebrew`` - thanks, Dan Peterson. (`#1649 <https://github.com/simonw/datasette/pull/1649>`__)
- Fixed bug where :ref:`custom pages <custom_pages>` did not work on Windows. Thanks, Robert Christie. (:issue:`1545`)
- Fixed error caused when a table had a column named ``n``. (:issue:`1228`)
@ -1068,14 +897,14 @@ Other small fixes
- New :ref:`register_commands() <plugin_hook_register_commands>` plugin hook allows plugins to register additional Datasette CLI commands, e.g. ``datasette mycommand file.db``. (:issue:`1449`)
- Adding ``?_facet_size=max`` to a table page now shows the number of unique values in each facet. (:issue:`1423`)
- Upgraded dependency `httpx 0.20 <https://github.com/encode/httpx/releases/tag/0.20.0>`__ - the undocumented ``allow_redirects=`` parameter to :ref:`internals_datasette_client` is now ``follow_redirects=``, and defaults to ``False`` where it previously defaulted to ``True``. (:issue:`1488`)
- The ``--cors`` option now causes Datasette to return the ``Access-Control-Allow-Headers: Authorization`` header, in addition to ``Access-Control-Allow-Origin: *``. (:pr:`1467`)
- The ``--cors`` option now causes Datasette to return the ``Access-Control-Allow-Headers: Authorization`` header, in addition to ``Access-Control-Allow-Origin: *``. (`#1467 <https://github.com/simonw/datasette/pull/1467>`__)
- Code that figures out which named parameters a SQL query takes in order to display form fields for them is no longer confused by strings that contain colon characters. (:issue:`1421`)
- Renamed ``--help-config`` option to ``--help-settings``. (:issue:`1431`)
- ``datasette.databases`` property is now a documented API. (:issue:`1443`)
- The ``base.html`` template now wraps everything other than the ``<footer>`` in a ``<div class="not-footer">`` element, to help with advanced CSS customization. (:issue:`1446`)
- The :ref:`render_cell() <plugin_hook_render_cell>` plugin hook can now return an awaitable function. This means the hook can execute SQL queries. (:issue:`1425`)
- :ref:`plugin_register_routes` plugin hook now accepts an optional ``datasette`` argument. (:issue:`1404`)
- New ``hide_sql`` canned query option for defaulting to hiding the SQL query used by a canned query, see :ref:`queries_options`. (:issue:`1422`)
- New ``hide_sql`` canned query option for defaulting to hiding the SQL query used by a canned query, see :ref:`canned_queries_options`. (:issue:`1422`)
- New ``--cpu`` option for :ref:`datasette publish cloudrun <publish_cloud_run>`. (:issue:`1420`)
- If `Rich <https://github.com/willmcgugan/rich>`__ is installed in the same virtual environment as Datasette, it will be used to provide enhanced display of error tracebacks on the console. (:issue:`1416`)
- ``datasette.utils`` :ref:`internals_utils_parse_metadata` function, used by the new `datasette-remote-metadata plugin <https://datasette.io/plugins/datasette-remote-metadata>`__, is now a documented API. (:issue:`1405`)
@ -1097,7 +926,7 @@ Other small fixes
- New ``datasette --uds /tmp/datasette.sock`` option for binding Datasette to a Unix domain socket, see :ref:`proxy documentation <deploying_proxy>` (:issue:`1388`)
- ``"searchmode": "raw"`` table metadata option for defaulting a table to executing SQLite full-text search syntax without first escaping it, see :ref:`full_text_search_advanced_queries`. (:issue:`1389`)
- New plugin hook: ``get_metadata()``, for returning custom metadata for an instance, database or table. Thanks, Brandon Roberts! (:issue:`1384`)
- New plugin hook: ``skip_csrf``, for opting out of CSRF protection based on the incoming request. (:issue:`1377`)
- New plugin hook: :ref:`plugin_hook_skip_csrf`, for opting out of CSRF protection based on the incoming request. (:issue:`1377`)
- The :ref:`menu_links() <plugin_hook_menu_links>`, :ref:`table_actions() <plugin_hook_table_actions>` and :ref:`database_actions() <plugin_hook_database_actions>` plugin hooks all gained a new optional ``request`` argument providing access to the current request. (:issue:`1371`)
- Major performance improvement for Datasette faceting. (:issue:`1394`)
- Improved documentation for :ref:`deploying_proxy` to recommend using ``ProxyPreservehost On`` with Apache. (:issue:`1387`)
@ -1167,8 +996,8 @@ Documentation improvements, bug fixes and support for SpatiaLite 5.
- The :ref:`Response.asgi_send() <internals_response_asgi_send>` method is now documented. (:issue:`1266`)
- The official Datasette Docker image now bundles SpatiaLite version 5. (:issue:`1278`)
- Fixed a ``no such table: pragma_database_list`` bug when running Datasette against SQLite versions prior to SQLite 3.16.0. (:issue:`1276`)
- HTML lists displayed in table cells are now styled correctly. Thanks, Bob Whitelock. (:issue:`1141`, :pr:`1252`)
- Configuration directory mode now correctly serves immutable databases that are listed in ``inspect-data.json``. Thanks Campbell Allen and Frankie Robertson. (:pr:`1031`, :pr:`1229`)
- HTML lists displayed in table cells are now styled correctly. Thanks, Bob Whitelock. (:issue:`1141`, `#1252 <https://github.com/simonw/datasette/pull/1252>`__)
- Configuration directory mode now correctly serves immutable databases that are listed in ``inspect-data.json``. Thanks Campbell Allen and Frankie Robertson. (`#1031 <https://github.com/simonw/datasette/pull/1031>`__, `#1229 <https://github.com/simonw/datasette/pull/1229>`__)
.. _v0_55:
@ -1345,7 +1174,7 @@ A new visual design, plugin hooks for adding navigation options, better handling
New visual design
~~~~~~~~~~~~~~~~~
Datasette is no longer white and grey with blue and purple links! `Natalie Downe <https://twitter.com/natbat>`__ has been working on a visual refresh, the first iteration of which is included in this release. (:pr:`1056`)
Datasette is no longer white and grey with blue and purple links! `Natalie Downe <https://twitter.com/natbat>`__ has been working on a visual refresh, the first iteration of which is included in this release. (`#1056 <https://github.com/simonw/datasette/pull/1056>`__)
.. image:: datasette-0.51.png
:width: 740px
@ -1422,7 +1251,7 @@ New :ref:`deploying` documentation with guides for deploying Datasette on a Linu
Other improvements in this release:
- :ref:`publish_cloud_run` documentation now covers Google Cloud SDK options. Thanks, Geoffrey Hing. (:pr:`995`)
- :ref:`publish_cloud_run` documentation now covers Google Cloud SDK options. Thanks, Geoffrey Hing. (`#995 <https://github.com/simonw/datasette/pull/995>`__)
- New ``datasette -o`` option which opens your browser as soon as Datasette starts up. (:issue:`970`)
- Datasette now sets ``sqlite3.enable_callback_tracebacks(True)`` so that errors in custom SQL functions will display tracebacks. (:issue:`891`)
- Fixed two rendering bugs with column headers in portrait mobile view. (:issue:`978`, :issue:`980`)
@ -1449,7 +1278,7 @@ See also `Datasette 0.50: The annotated release notes <https://simonwillison.net
See also `Datasette 0.49: The annotated release notes <https://simonwillison.net/2020/Sep/15/datasette-0-49/>`__.
- Writable canned queries now expose a JSON API, see :ref:`queries_json_api`. (:issue:`880`)
- Writable canned queries now expose a JSON API, see :ref:`canned_queries_json_api`. (:issue:`880`)
- New mechanism for defining page templates with custom path parameters - a template file called ``pages/about/{slug}.html`` will be used to render any requests to ``/about/something``. See :ref:`custom_pages_parameters`. (:issue:`944`)
- ``register_output_renderer()`` render functions can now return a ``Response``. (:issue:`953`)
- New ``--upgrade`` option for ``datasette install``. (:issue:`945`)
@ -1526,7 +1355,7 @@ See also `Datasette 0.49: The annotated release notes <https://simonwillison.net
- ``tests`` are now excluded from the Datasette package properly - thanks, abeyerpath. (:issue:`456`)
- The Datasette package published to PyPI now includes ``sdist`` as well as ``bdist_wheel``.
- Better titles for canned query pages. (:issue:`887`)
- Now only loads Python files from a directory passed using the ``--plugins-dir`` option - thanks, Amjith Ramanujam. (:pr:`890`)
- Now only loads Python files from a directory passed using the ``--plugins-dir`` option - thanks, Amjith Ramanujam. (`#890 <https://github.com/simonw/datasette/pull/890>`__)
- New documentation section on :ref:`publish_vercel`.
.. _v0_45:
@ -1541,7 +1370,7 @@ Magic parameters for canned queries, a log out feature, improved plugin document
Magic parameters for canned queries
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Canned queries now support :ref:`queries_magic_parameters`, which can be used to insert or select automatically generated values. For example::
Canned queries now support :ref:`canned_queries_magic_parameters`, which can be used to insert or select automatically generated values. For example::
insert into logs
(user_id, timestamp)
@ -1572,7 +1401,7 @@ New plugin hooks
- :ref:`plugin_hook_register_magic_parameters` can be used to define new types of magic canned query parameters.
- :ref:`plugin_hook_startup` can run custom code when Datasette first starts up. `datasette-init <https://github.com/simonw/datasette-init>`__ is a new plugin that uses this hook to create database tables and views on startup if they have not yet been created. (:issue:`834`)
- ``canned_queries()`` lets plugins provide additional canned queries beyond those defined in Datasette's metadata. See `datasette-saved-queries <https://github.com/simonw/datasette-saved-queries>`__ for an example of this hook in action. (:issue:`852`)
- :ref:`plugin_hook_canned_queries` lets plugins provide additional canned queries beyond those defined in Datasette's metadata. See `datasette-saved-queries <https://github.com/simonw/datasette-saved-queries>`__ for an example of this hook in action. (:issue:`852`)
- :ref:`plugin_hook_forbidden` is a hook for customizing how Datasette responds to 403 forbidden errors. (:issue:`812`)
Smaller changes
@ -1647,7 +1476,7 @@ A new debug page at ``/-/permissions`` shows recent permission checks, to help a
Writable canned queries
~~~~~~~~~~~~~~~~~~~~~~~
Datasette's :ref:`queries` feature lets you define SQL queries in ``metadata.json`` which can then be executed by users visiting a specific URL. https://latest.datasette.io/fixtures/neighborhood_search for example.
Datasette's :ref:`canned_queries` feature lets you define SQL queries in ``metadata.json`` which can then be executed by users visiting a specific URL. https://latest.datasette.io/fixtures/neighborhood_search for example.
Canned queries were previously restricted to ``SELECT``, but Datasette 0.44 introduces the ability for canned queries to execute ``INSERT`` or ``UPDATE`` queries as well, using the new ``"write": true`` property (:issue:`800`):
@ -1666,7 +1495,7 @@ Canned queries were previously restricted to ``SELECT``, but Datasette 0.44 intr
}
}
See :ref:`queries_writable` for more details.
See :ref:`canned_queries_writable` for more details.
Flash messages
~~~~~~~~~~~~~~
@ -1721,7 +1550,7 @@ Smaller changes
- New ``request.cookies`` property.
- ``/-/plugins`` endpoint now shows a list of hooks implemented by each plugin, e.g. https://latest.datasette.io/-/plugins?all=1
- ``request.post_vars()`` method no longer discards empty values.
- New "params" canned query key for explicitly setting named parameters, see :ref:`queries_named_parameters`. (:issue:`797`)
- New "params" canned query key for explicitly setting named parameters, see :ref:`canned_queries_named_parameters`. (:issue:`797`)
- ``request.args`` is now a :ref:`MultiParams <internals_multiparams>` object.
- Fixed a bug with the ``datasette plugins`` command. (:issue:`802`)
- Nicer pattern for using ``make_app_client()`` in tests. (:issue:`395`)
@ -1754,8 +1583,8 @@ The main focus of this release is a major upgrade to the :ref:`plugin_register_o
* Redesign of :ref:`plugin_register_output_renderer` to provide more context to the render callback and support an optional ``"can_render"`` callback that controls if a suggested link to the output format is provided. (:issue:`581`, :issue:`770`)
* Visually distinguish float and integer columns - useful for figuring out why order-by-column might be returning unexpected results. (:issue:`729`)
* The :ref:`internals_request`, which is passed to several plugin hooks, is now documented. (:issue:`706`)
* New ``metadata.json`` option for setting a custom default page size for specific tables and views, see :ref:`table_configuration_size`. (:issue:`751`)
* Canned queries can now be configured with a default URL fragment hash, useful when working with plugins such as `datasette-vega <https://github.com/simonw/datasette-vega>`__, see :ref:`queries_options`. (:issue:`706`)
* New ``metadata.json`` option for setting a custom default page size for specific tables and views, see :ref:`metadata_page_size`. (:issue:`751`)
* Canned queries can now be configured with a default URL fragment hash, useful when working with plugins such as `datasette-vega <https://github.com/simonw/datasette-vega>`__, see :ref:`canned_queries_options`. (:issue:`706`)
* Fixed a bug in ``datasette publish`` when running on operating systems where the ``/tmp`` directory lives in a different volume, using a backport of the Python 3.8 ``shutil.copytree()`` function. (:issue:`744`)
* Every plugin hook is now covered by the unit tests, and a new unit test checks that each plugin hook has at least one corresponding test. (:issue:`771`, :issue:`773`)
@ -1795,7 +1624,7 @@ Also in this release:
* Datasette now has a *pattern portfolio* at ``/-/patterns`` - e.g. https://latest.datasette.io/-/patterns. This is a page that shows every Datasette user interface component in one place, to aid core development and people building custom CSS themes. (:issue:`151`)
* SQLite `PRAGMA functions <https://www.sqlite.org/pragma.html#pragfunc>`__ such as ``pragma_table_info(tablename)`` are now allowed in Datasette SQL queries. (:issue:`761`)
* Datasette pages now consistently return a ``content-type`` of ``text/html; charset=utf-8"``. (:issue:`752`)
* Datasette now handles an ASGI ``raw_path`` value of ``None``, which should allow compatibility with the `Mangum <https://github.com/erm/mangum>`__ adapter for running ASGI apps on AWS Lambda. Thanks, Colin Dellow. (:pr:`719`)
* Datasette now handles an ASGI ``raw_path`` value of ``None``, which should allow compatibility with the `Mangum <https://github.com/erm/mangum>`__ adapter for running ASGI apps on AWS Lambda. Thanks, Colin Dellow. (`#719 <https://github.com/simonw/datasette/pull/719>`__)
* Installation documentation now covers how to :ref:`installation_pipx`. (:issue:`756`)
* Improved the documentation for :ref:`full_text_search`. (:issue:`748`)
@ -1818,7 +1647,7 @@ Also in this release:
-----------------
* New :ref:`setting_base_url` configuration setting for serving up the correct links while running Datasette under a different URL prefix. (:issue:`394`)
* New metadata settings ``"sort"`` and ``"sort_desc"`` for setting the default sort order for a table. See :ref:`table_configuration_sort`. (:issue:`702`)
* New metadata settings ``"sort"`` and ``"sort_desc"`` for setting the default sort order for a table. See :ref:`metadata_default_sort`. (:issue:`702`)
* Sort direction arrow now displays by default on the primary key. This means you only have to click once (not twice) to sort in reverse order. (:issue:`677`)
* New ``await Request(scope, receive).post_vars()`` method for accessing POST form variables. (:issue:`700`)
* :ref:`plugin_hooks` documentation now links to example uses of each plugin. (:issue:`709`)
@ -1848,7 +1677,7 @@ Also in this release:
-----------------
* Plugins now have a supported mechanism for writing to a database, using the new ``.execute_write()`` and ``.execute_write_fn()`` methods. :ref:`Documentation <database_execute_write>`. (:issue:`682`)
* Immutable databases that have had their rows counted using the ``inspect`` command now use the calculated count more effectively - thanks, Kevin Keogh. (:pr:`666`)
* Immutable databases that have had their rows counted using the ``inspect`` command now use the calculated count more effectively - thanks, Kevin Keogh. (`#666 <https://github.com/simonw/datasette/pull/666>`__)
* ``--reload`` no longer restarts the server if a database file is modified, unless that database was opened immutable mode with ``-i``. (:issue:`494`)
* New ``?_searchmode=raw`` option turns off escaping for FTS queries in ``?_search=`` allowing full use of SQLite's `FTS5 query syntax <https://www.sqlite.org/fts5.html#full_text_query_syntax>`__. (:issue:`676`)
@ -1869,7 +1698,7 @@ Also in this release:
* Added five new plugins and one new conversion tool to the :ref:`ecosystem`.
* The ``Datasette`` class has a new ``render_template()`` method which can be used by plugins to render templates using Datasette's pre-configured `Jinja <https://jinja.palletsprojects.com/>`__ templating library.
* You can now execute SQL queries that start with a ``-- comment`` - thanks, Jay Graves (:pr:`653`)
* You can now execute SQL queries that start with a ``-- comment`` - thanks, Jay Graves (`#653 <https://github.com/simonw/datasette/pull/653>`__)
.. _v0_34:
@ -1877,7 +1706,7 @@ Also in this release:
-----------------
* ``_search=`` queries are now correctly escaped using a new ``escape_fts()`` custom SQL function. This means you can now run searches for strings like ``park.`` without seeing errors. (:issue:`651`)
* `Google Cloud Run <https://cloud.google.com/run/>`__ is no longer in beta, so ``datasette publish cloudrun`` has been updated to work even if the user has not installed the ``gcloud`` beta components package. Thanks, Katie McLaughlin (:pr:`660`)
* `Google Cloud Run <https://cloud.google.com/run/>`__ is no longer in beta, so ``datasette publish cloudrun`` has been updated to work even if the user has not installed the ``gcloud`` beta components package. Thanks, Katie McLaughlin (`#660 <https://github.com/simonw/datasette/pull/660>`__)
* ``datasette package`` now accepts a ``--port`` option for specifying which port the resulting Docker container should listen on. (:issue:`661`)
.. _v0_33:
@ -1915,7 +1744,7 @@ Datasette now renders templates using `Jinja async mode <https://jinja.palletspr
0.31.1 (2019-11-12)
-------------------
- Deployments created using ``datasette publish`` now use ``python:3.8`` base Docker image (:pr:`629`)
- Deployments created using ``datasette publish`` now use ``python:3.8`` base Docker image (`#629 <https://github.com/simonw/datasette/pull/629>`__)
.. _v0_31:
@ -1928,10 +1757,10 @@ If you are still running Python 3.5 you should stick with ``0.30.2``, which you
pip install datasette==0.30.2
- Format SQL button now works with read-only SQL queries - thanks, Tobias Kunze (:pr:`602`)
- Format SQL button now works with read-only SQL queries - thanks, Tobias Kunze (`#602 <https://github.com/simonw/datasette/pull/602>`__)
- New ``?column__notin=x,y,z`` filter for table views (:issue:`614`)
- Table view now uses ``select col1, col2, col3`` instead of ``select *``
- Database filenames can now contain spaces - thanks, Tobias Kunze (:pr:`590`)
- Database filenames can now contain spaces - thanks, Tobias Kunze (`#590 <https://github.com/simonw/datasette/pull/590>`__)
- Removed obsolete ``?_group_count=col`` feature (:issue:`504`)
- Improved user interface and documentation for ``datasette publish cloudrun`` (:issue:`608`)
- Tables with indexes now show the ``CREATE INDEX`` statements on the table page (:issue:`618`)
@ -1967,7 +1796,7 @@ If you are still running Python 3.5 you should stick with ``0.30.2``, which you
- Allow ``EXPLAIN WITH...`` (:issue:`583`)
- Button to format SQL - thanks, Tobias Kunze (:issue:`136`)
- Sort databases on homepage by argument order - thanks, Tobias Kunze (:issue:`585`)
- Display metadata footer on custom SQL queries - thanks, Tobias Kunze (:pr:`589`)
- Display metadata footer on custom SQL queries - thanks, Tobias Kunze (`#589 <https://github.com/simonw/datasette/pull/589>`__)
- Use ``--platform=managed`` for ``publish cloudrun`` (:issue:`587`)
- Fixed bug returning non-ASCII characters in CSV (:issue:`584`)
- Fix for ``/foo`` v.s. ``/foo-bar`` bug (:issue:`601`)
@ -1978,7 +1807,7 @@ If you are still running Python 3.5 you should stick with ``0.30.2``, which you
-------------------
- Fixed implementation of CodeMirror on database page (:issue:`560`)
- Documentation typo fixes - thanks, Min ho Kim (:pr:`561`)
- Documentation typo fixes - thanks, Min ho Kim (`#561 <https://github.com/simonw/datasette/pull/561>`__)
- Mechanism for detecting if a table has FTS enabled now works if the table name used alternative escaping mechanisms (:issue:`570`) - for compatibility with `a recent change to sqlite-utils <https://github.com/simonw/sqlite-utils/pull/57>`__.
.. _v0_29_2:
@ -2123,7 +1952,7 @@ Datasette :ref:`facets` provide an intuitive way to quickly summarize and intera
Facet by array (:issue:`359`) is only available if your SQLite installation provides the ``json1`` extension. Datasette will automatically detect columns that contain JSON arrays of values and offer a faceting interface against those columns - useful for modelling things like tags without needing to break them out into a new table. See :ref:`facet_by_json_array` for more.
The new :ref:`plugin_register_facet_classes` plugin hook (:pr:`445`) can be used to register additional custom facet classes. Each facet class should provide two methods: ``suggest()`` which suggests facet selections that might be appropriate for a provided SQL query, and ``facet_results()`` which executes a facet operation and returns results. Datasette's own faceting implementations have been refactored to use the same API as these plugins.
The new :ref:`plugin_register_facet_classes` plugin hook (`#445 <https://github.com/simonw/datasette/pull/445>`__) can be used to register additional custom facet classes. Each facet class should provide two methods: ``suggest()`` which suggests facet selections that might be appropriate for a provided SQL query, and ``facet_results()`` which executes a facet operation and returns results. Datasette's own faceting implementations have been refactored to use the same API as these plugins.
.. _v0_28_publish_cloudrun:
@ -2132,7 +1961,7 @@ datasette publish cloudrun
`Google Cloud Run <https://cloud.google.com/run/>`__ is a brand new serverless hosting platform from Google, which allows you to build a Docker container which will run only when HTTP traffic is received and will shut down (and hence cost you nothing) the rest of the time. It's similar to Zeit's Now v1 Docker hosting platform which sadly is `no longer accepting signups <https://hyperion.alpha.spectrum.chat/zeit/now/cannot-create-now-v1-deployments~d206a0d4-5835-4af5-bb5c-a17f0171fb25?m=MTU0Njk2NzgwODM3OA==>`__ from new users.
The new ``datasette publish cloudrun`` command was contributed by Romain Primet (:pr:`434`) and publishes selected databases to a new Datasette instance running on Google Cloud Run.
The new ``datasette publish cloudrun`` command was contributed by Romain Primet (`#434 <https://github.com/simonw/datasette/pull/434>`__) and publishes selected databases to a new Datasette instance running on Google Cloud Run.
See :ref:`publish_cloud_run` for full documentation.
@ -2141,7 +1970,7 @@ See :ref:`publish_cloud_run` for full documentation.
register_output_renderer plugins
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Russ Garrett implemented a new Datasette plugin hook called :ref:`register_output_renderer <plugin_register_output_renderer>` (:pr:`441`) which allows plugins to create additional output renderers in addition to Datasette's default ``.json`` and ``.csv``.
Russ Garrett implemented a new Datasette plugin hook called :ref:`register_output_renderer <plugin_register_output_renderer>` (`#441 <https://github.com/simonw/datasette/pull/441>`__) which allows plugins to create additional output renderers in addition to Datasette's default ``.json`` and ``.csv``.
Russ's in-development `datasette-geo <https://github.com/russss/datasette-geo>`__ plugin includes `an example <https://github.com/russss/datasette-geo/blob/d4cecc020848bbde91e9e17bf352f7c70bc3dccf/datasette_plugin_geo/geojson.py>`__ of this hook being used to output ``.geojson`` automatically converted from SpatiaLite.
@ -2150,7 +1979,7 @@ Russ's in-development `datasette-geo <https://github.com/russss/datasette-geo>`_
Medium changes
~~~~~~~~~~~~~~
- Datasette now conforms to the `Black coding style <https://github.com/python/black>`__ (:pr:`449`) - and has a unit test to enforce this in the future
- Datasette now conforms to the `Black coding style <https://github.com/python/black>`__ (`#449 <https://github.com/simonw/datasette/pull/449>`__) - and has a unit test to enforce this in the future
- New :ref:`json_api_table_arguments`:
- ``?columnname__in=value1,value2,value3`` filter for executing SQL IN queries against a table, see :ref:`table_arguments` (:issue:`433`)
- ``?columnname__date=yyyy-mm-dd`` filter which returns rows where the spoecified datetime column falls on the specified date (`583b22a <https://github.com/simonw/datasette/commit/583b22aa28e26c318de0189312350ab2688c90b1>`__)
@ -2171,17 +2000,17 @@ Small changes
- We now show the size of the database file next to the download link (:issue:`172`)
- New ``/-/databases`` introspection page shows currently connected databases (:issue:`470`)
- Binary data is no longer displayed on the table and row pages (:pr:`442` - thanks, Russ Garrett)
- Binary data is no longer displayed on the table and row pages (`#442 <https://github.com/simonw/datasette/pull/442>`__ - thanks, Russ Garrett)
- New show/hide SQL links on custom query pages (:issue:`415`)
- The :ref:`extra_body_script <plugin_hook_extra_body_script>` plugin hook now accepts an optional ``view_name`` argument (:pr:`443` - thanks, Russ Garrett)
- Bumped Jinja2 dependency to 2.10.1 (:pr:`426`)
- The :ref:`extra_body_script <plugin_hook_extra_body_script>` plugin hook now accepts an optional ``view_name`` argument (`#443 <https://github.com/simonw/datasette/pull/443>`__ - thanks, Russ Garrett)
- Bumped Jinja2 dependency to 2.10.1 (`#426 <https://github.com/simonw/datasette/pull/426>`__)
- All table filters are now documented, and documentation is enforced via unit tests (`2c19a27 <https://github.com/simonw/datasette/commit/2c19a27d15a913e5f3dd443f04067169a6f24634>`__)
- New project guideline: master should stay shippable at all times! (`31f36e1 <https://github.com/simonw/datasette/commit/31f36e1b97ccc3f4387c80698d018a69798b6228>`__)
- Fixed a bug where ``sqlite_timelimit()`` occasionally failed to clean up after itself (`bac4e01 <https://github.com/simonw/datasette/commit/bac4e01f40ae7bd19d1eab1fb9349452c18de8f5>`__)
- We no longer load additional plugins when executing pytest (:issue:`438`)
- Homepage now links to database views if there are less than five tables in a database (:issue:`373`)
- The ``--cors`` option is now respected by error pages (:issue:`453`)
- ``datasette publish heroku`` now uses the ``--include-vcs-ignore`` option, which means it works under Travis CI (:pr:`407`)
- ``datasette publish heroku`` now uses the ``--include-vcs-ignore`` option, which means it works under Travis CI (`#407 <https://github.com/simonw/datasette/pull/407>`__)
- ``datasette publish heroku`` now publishes using Python 3.6.8 (`666c374 <https://github.com/simonw/datasette/commit/666c37415a898949fae0437099d62a35b1e9c430>`__)
- Renamed ``datasette publish now`` to ``datasette publish nowv1`` (:issue:`472`)
- ``datasette publish nowv1`` now accepts multiple ``--alias`` parameters (`09ef305 <https://github.com/simonw/datasette/commit/09ef305c687399384fe38487c075e8669682deb4>`__)
@ -2253,7 +2082,7 @@ New plugin hooks, improved database view support and an easier way to use more r
- New ``render_cell`` plugin hook. Plugins can now customize how values are displayed in the HTML tables produced by Datasette's browsable interface. `datasette-json-html <https://github.com/simonw/datasette-json-html>`__ and `datasette-render-images <https://github.com/simonw/datasette-render-images>`__ are two new plugins that use this hook. :ref:`render_cell documentation <plugin_hook_render_cell>`. Closes :issue:`352`
- New ``extra_body_script`` plugin hook, enabling plugins to provide additional JavaScript that should be added to the page footer. :ref:`extra_body_script documentation <plugin_hook_extra_body_script>`.
- ``extra_css_urls`` and ``extra_js_urls`` hooks now take additional optional parameters, allowing them to be more selective about which pages they apply to. :ref:`Documentation <plugin_hook_extra_css_urls>`.
- You can now use the :ref:`sortable_columns metadata setting <table_configuration_sortable_columns>` to explicitly enable sort-by-column in the interface for database views, as well as for specific tables.
- You can now use the :ref:`sortable_columns metadata setting <metadata_sortable_columns>` to explicitly enable sort-by-column in the interface for database views, as well as for specific tables.
- The new ``fts_table`` and ``fts_pk`` metadata settings can now be used to :ref:`explicitly configure full-text search for a table or a view <full_text_search_table_or_view>`, even if that table is not directly coupled to the SQLite FTS feature in the database schema itself.
- Datasette will now use `pysqlite3 <https://github.com/coleifer/pysqlite3>`__ in place of the standard library ``sqlite3`` module if it has been installed in the current environment. This makes it much easier to run Datasette against a more recent version of SQLite, including the just-released `SQLite 3.25.0 <https://www.sqlite.org/releaselog/3_25_0.html>`__ which adds window function support. More details on how to use this in :issue:`360`
- New mechanism that allows :ref:`plugin configuration options <plugins_configuration>` to be set using ``metadata.json``.
@ -2272,7 +2101,7 @@ A number of small new features:
- Documentation for :ref:`datasette publish and datasette package <publishing>`, closes `#337 <https://github.com/simonw/datasette/issues/337>`_
- Fixed compatibility with Python 3.7
- ``datasette publish heroku`` now supports app names via the ``-n`` option, which can also be used to overwrite an existing application [Russ Garrett]
- Title and description metadata can now be set for :ref:`canned SQL queries <queries>`, closes `#342 <https://github.com/simonw/datasette/issues/342>`_
- Title and description metadata can now be set for :ref:`canned SQL queries <canned_queries>`, closes `#342 <https://github.com/simonw/datasette/issues/342>`_
- New ``force_https_on`` config option, fixes ``https://`` API URLs when deploying to Zeit Now - closes `#333 <https://github.com/simonw/datasette/issues/333>`_
- ``?_json_infinity=1`` query string argument for handling Infinity/-Infinity values in JSON, closes `#332 <https://github.com/simonw/datasette/issues/332>`_
- URLs displayed in the results of custom SQL queries are now URLified, closes `#298 <https://github.com/simonw/datasette/issues/298>`_
@ -2338,7 +2167,7 @@ Foreign key expansions
~~~~~~~~~~~~~~~~~~~~~~
When Datasette detects a foreign key reference it attempts to resolve a label
for that reference (automatically or using the :ref:`table_configuration_label_column` metadata
for that reference (automatically or using the :ref:`label_columns` metadata
option) so it can display a link to the associated row.
This expansion is now also available for JSON and CSV representations of the

View file

@ -51,7 +51,6 @@ markdown_uri_doc_suffix = ".html"
extlinks = {
"issue": ("https://github.com/simonw/datasette/issues/%s", "#%s"),
"pr": ("https://github.com/simonw/datasette/pull/%s", "#%s"),
}
# Add any paths that contain templates here, relative to this directory.

View file

@ -87,7 +87,6 @@ This is equivalent to a ``datasette.yaml`` file containing the following:
}
.. [[[end]]]
.. _configuration_reference:
``datasette.yaml`` reference
@ -434,12 +433,12 @@ Here is a simple example:
:ref:`authentication_permissions_config` has the full details.
.. _configuration_reference_queries:
.. _configuration_reference_canned_queries:
Queries configuration
~~~~~~~~~~~~~~~~~~~~~
Canned queries configuration
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:ref:`Queries <queries>` are named SQL queries that appear in the Datasette interface. They can be configured in ``datasette.yaml`` using the ``queries`` key at the database level:
:ref:`Canned queries <canned_queries>` are named SQL queries that appear in the Datasette interface. They can be configured in ``datasette.yaml`` using the ``queries`` key at the database level:
.. [[[cog
from metadata_doc import config_example, config_example
@ -484,7 +483,7 @@ Queries configuration
}
.. [[[end]]]
See the :ref:`queries documentation <queries>` for more, including how to configure :ref:`writable queries <queries_writable>`.
See the :ref:`canned queries documentation <canned_queries>` for more, including how to configure :ref:`writable canned queries <canned_queries_writable>`.
.. _configuration_reference_css_js:
@ -635,580 +634,5 @@ Will produce this HTML:
<script type="module" src="https://example.datasette.io/module.js"></script>
.. _configuration_reference_table:
Table configuration
~~~~~~~~~~~~~~~~~~~
Datasette supports a number of table-level configuration options inside ``datasette.yaml``. These are placed under ``databases.database_name.tables.table_name``.
.. _table_configuration_sort:
``sort`` / ``sort_desc``
^^^^^^^^^^^^^^^^^^^^^^^^
By default Datasette tables are sorted by primary key. You can set a default sort order for a specific table using the ``sort`` or ``sort_desc`` properties:
.. [[[cog
from metadata_doc import config_example
import textwrap
config_example(cog, textwrap.dedent(
"""
databases:
mydatabase:
tables:
example_table:
sort: created
""").strip()
)
.. ]]]
.. tab:: datasette.yaml
.. code-block:: yaml
databases:
mydatabase:
tables:
example_table:
sort: created
.. tab:: datasette.json
.. code-block:: json
{
"databases": {
"mydatabase": {
"tables": {
"example_table": {
"sort": "created"
}
}
}
}
}
.. [[[end]]]
Or use ``sort_desc`` to sort in descending order:
.. [[[cog
config_example(cog, textwrap.dedent(
"""
databases:
mydatabase:
tables:
example_table:
sort_desc: created
""").strip()
)
.. ]]]
.. tab:: datasette.yaml
.. code-block:: yaml
databases:
mydatabase:
tables:
example_table:
sort_desc: created
.. tab:: datasette.json
.. code-block:: json
{
"databases": {
"mydatabase": {
"tables": {
"example_table": {
"sort_desc": "created"
}
}
}
}
}
.. [[[end]]]
.. _table_configuration_size:
``size``
^^^^^^^^
Datasette defaults to displaying 100 rows per page, for both tables and views. You can change this on a per-table or per-view basis using the ``size`` key:
.. [[[cog
config_example(cog, textwrap.dedent(
"""
databases:
mydatabase:
tables:
example_table:
size: 10
""").strip()
)
.. ]]]
.. tab:: datasette.yaml
.. code-block:: yaml
databases:
mydatabase:
tables:
example_table:
size: 10
.. tab:: datasette.json
.. code-block:: json
{
"databases": {
"mydatabase": {
"tables": {
"example_table": {
"size": 10
}
}
}
}
}
.. [[[end]]]
This size can still be over-ridden by passing e.g. ``?_size=50`` in the query string.
.. _table_configuration_sortable_columns:
``sortable_columns``
^^^^^^^^^^^^^^^^^^^^
Datasette allows any column to be used for sorting by default. If you need to control which columns are available for sorting you can do so using ``sortable_columns``:
.. [[[cog
config_example(cog, textwrap.dedent(
"""
databases:
mydatabase:
tables:
example_table:
sortable_columns:
- height
- weight
""").strip()
)
.. ]]]
.. tab:: datasette.yaml
.. code-block:: yaml
databases:
mydatabase:
tables:
example_table:
sortable_columns:
- height
- weight
.. tab:: datasette.json
.. code-block:: json
{
"databases": {
"mydatabase": {
"tables": {
"example_table": {
"sortable_columns": [
"height",
"weight"
]
}
}
}
}
}
.. [[[end]]]
This will restrict sorting of ``example_table`` to just the ``height`` and ``weight`` columns.
You can also disable sorting entirely by setting ``"sortable_columns": []``
You can use ``sortable_columns`` to enable specific sort orders for a view called ``name_of_view`` in the database ``my_database`` like so:
.. [[[cog
config_example(cog, textwrap.dedent(
"""
databases:
my_database:
tables:
name_of_view:
sortable_columns:
- clicks
- impressions
""").strip()
)
.. ]]]
.. tab:: datasette.yaml
.. code-block:: yaml
databases:
my_database:
tables:
name_of_view:
sortable_columns:
- clicks
- impressions
.. tab:: datasette.json
.. code-block:: json
{
"databases": {
"my_database": {
"tables": {
"name_of_view": {
"sortable_columns": [
"clicks",
"impressions"
]
}
}
}
}
}
.. [[[end]]]
.. _table_configuration_label_column:
``label_column``
^^^^^^^^^^^^^^^^
Datasette's HTML interface attempts to display foreign key references as labelled hyperlinks. By default, it automatically detects a label column using the following rules (in order):
1. If there is exactly one unique text column, use that.
2. If there is a column called ``name`` or ``title`` (case-insensitive), use that.
3. If the table has only two columns - a primary key and one other - use the non-primary-key column.
You can override this automatic detection by specifying which column should be used for the link label with the ``label_column`` property:
.. [[[cog
config_example(cog, textwrap.dedent(
"""
databases:
mydatabase:
tables:
example_table:
label_column: title
""").strip()
)
.. ]]]
.. tab:: datasette.yaml
.. code-block:: yaml
databases:
mydatabase:
tables:
example_table:
label_column: title
.. tab:: datasette.json
.. code-block:: json
{
"databases": {
"mydatabase": {
"tables": {
"example_table": {
"label_column": "title"
}
}
}
}
}
.. [[[end]]]
.. _table_configuration_hidden:
``hidden``
^^^^^^^^^^
You can hide tables from the database listing view (in the same way that FTS and SpatiaLite tables are automatically hidden) using ``"hidden": true``:
.. [[[cog
config_example(cog, textwrap.dedent(
"""
databases:
mydatabase:
tables:
example_table:
hidden: true
""").strip()
)
.. ]]]
.. tab:: datasette.yaml
.. code-block:: yaml
databases:
mydatabase:
tables:
example_table:
hidden: true
.. tab:: datasette.json
.. code-block:: json
{
"databases": {
"mydatabase": {
"tables": {
"example_table": {
"hidden": true
}
}
}
}
}
.. [[[end]]]
.. _table_configuration_facets:
``facets`` / ``facet_size``
^^^^^^^^^^^^^^^^^^^^^^^^^^^
You can turn on facets by default for specific tables. ``facet_size`` controls how many unique values are shown for each facet on that table (the default is controlled by the :ref:`setting_default_facet_size` setting). See :ref:`facets_metadata` for full details.
.. [[[cog
config_example(cog, textwrap.dedent(
"""
databases:
sf-trees:
tables:
Street_Tree_List:
facets:
- qLegalStatus
facet_size: 10
""").strip()
)
.. ]]]
.. tab:: datasette.yaml
.. code-block:: yaml
databases:
sf-trees:
tables:
Street_Tree_List:
facets:
- qLegalStatus
facet_size: 10
.. tab:: datasette.json
.. code-block:: json
{
"databases": {
"sf-trees": {
"tables": {
"Street_Tree_List": {
"facets": [
"qLegalStatus"
],
"facet_size": 10
}
}
}
}
}
.. [[[end]]]
You can also specify :ref:`array <facet_by_json_array>` or :ref:`date <facet_by_date>` facets using JSON objects with a single key of ``array`` or ``date``:
.. code-block:: yaml
facets:
- array: tags
- date: created
.. _table_configuration_fts:
``fts_table`` / ``fts_pk`` / ``searchmode``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
These configure :ref:`full-text search <full_text_search>` for a table or view. See :ref:`full_text_search_table_or_view` for full details.
``fts_table`` specifies which FTS table to use for search. ``fts_pk`` sets the primary key column if it is something other than ``rowid``. ``searchmode`` can be set to ``"raw"`` to enable `SQLite advanced search operators <https://www.sqlite.org/fts5.html#full_text_query_syntax>`__.
.. [[[cog
config_example(cog, textwrap.dedent(
"""
databases:
russian-ads:
tables:
display_ads:
fts_table: ads_fts
fts_pk: id
searchmode: raw
""").strip()
)
.. ]]]
.. tab:: datasette.yaml
.. code-block:: yaml
databases:
russian-ads:
tables:
display_ads:
fts_table: ads_fts
fts_pk: id
searchmode: raw
.. tab:: datasette.json
.. code-block:: json
{
"databases": {
"russian-ads": {
"tables": {
"display_ads": {
"fts_table": "ads_fts",
"fts_pk": "id",
"searchmode": "raw"
}
}
}
}
}
.. [[[end]]]
.. _table_configuration_column_types:
``column_types``
^^^^^^^^^^^^^^^^
You can assign semantic column types to columns, which affect how values are rendered, validated, and transformed. Built-in column types include ``url``, ``email``, and ``json``. Plugins can register additional column types using the :ref:`register_column_types <plugin_register_column_types>` plugin hook.
Column types can optionally declare which SQLite column types they apply to using ``sqlite_types``. Datasette will reject incompatible assignments. The built-in ``url``, ``email``, and ``json`` column types are all restricted to ``TEXT`` columns.
The simplest form maps column names to type name strings:
.. [[[cog
config_example(cog, textwrap.dedent(
"""
databases:
mydatabase:
tables:
example_table:
column_types:
website: url
contact: email
extra_data: json
""").strip()
)
.. ]]]
.. tab:: datasette.yaml
.. code-block:: yaml
databases:
mydatabase:
tables:
example_table:
column_types:
website: url
contact: email
extra_data: json
.. tab:: datasette.json
.. code-block:: json
{
"databases": {
"mydatabase": {
"tables": {
"example_table": {
"column_types": {
"website": "url",
"contact": "email",
"extra_data": "json"
}
}
}
}
}
}
.. [[[end]]]
For column types that accept additional configuration, use an object with ``type`` and ``config`` keys:
.. [[[cog
config_example(cog, textwrap.dedent(
"""
databases:
mydatabase:
tables:
example_table:
column_types:
website:
type: url
config:
prefix: "https://"
""").strip()
)
.. ]]]
.. tab:: datasette.yaml
.. code-block:: yaml
databases:
mydatabase:
tables:
example_table:
column_types:
website:
type: url
config:
prefix: "https://"
.. tab:: datasette.json
.. code-block:: json
{
"databases": {
"mydatabase": {
"tables": {
"example_table": {
"column_types": {
"website": {
"type": "url",
"config": {
"prefix": "https://"
}
}
}
}
}
}
}
}
.. [[[end]]]

View file

@ -90,7 +90,6 @@ If you want to change Datasette's Python code you can use the ``--reload`` optio
You can also use the ``fixtures.py`` script to recreate the testing version of ``metadata.json`` used by the unit tests. To do that::
uv run python tests/fixtures.py fixtures.db fixtures-metadata.json
Or to output the plugins used by the tests, run this::
uv run python tests/fixtures.py fixtures.db fixtures-metadata.json fixtures-plugins
@ -296,7 +295,7 @@ Don't forget to create the release from the correct branch - usually ``main``, b
While the release is running you can confirm that the correct commits made it into the release using the https://github.com/simonw/datasette/compare/0.64.6...0.64.7 URL.
Finally, post a news item about the release on `datasette.io <https://datasette.io/>`__ by editing the `news.yaml <https://github.com/simonw/datasette.io/blob/main/news.yaml>`__ file in that site's repository. Use `this preview tool <https://tools.simonwillison.net/datasette-io-preview>`__ to preview the edits to the YAML.
Finally, post a news item about the release on `datasette.io <https://datasette.io/>`__ by editing the `news.yaml <https://github.com/simonw/datasette.io/blob/main/news.yaml>`__ file in that site's repository.
.. _contributing_alpha_beta:

View file

@ -29,7 +29,7 @@ The custom SQL template (``/dbname?sql=...``) gets this:
<body class="query db-dbname">
A stored query template (``/dbname/queryname``) gets this:
A canned query template (``/dbname/queryname``) gets this:
.. code-block:: html
@ -193,8 +193,8 @@ The lookup rules Datasette uses are as follows::
query-mydatabase.html
query.html
Stored query page (/mydatabase/query-name):
query-mydatabase-query-name.html
Canned query page (/mydatabase/canned-query):
query-mydatabase-canned-query.html
query-mydatabase.html
query.html
@ -230,7 +230,7 @@ will look something like this::
<!-- Templates considered: *query-mydb-tz.html, query-mydb.html, query.html -->
This example is from the stored query page for a query called "tz" in the
This example is from the canned query page for a query called "tz" in the
database called "mydb". The asterisk shows which template was selected - so in
this case, Datasette found a template file called ``query-mydb-tz.html`` and
used that - but if that template had not been found, it would have tried for

View file

@ -5,8 +5,6 @@ Datasette includes a mechanism for tracking events that occur while the software
The core Datasette application triggers events when certain things happen. This page describes those events.
Note that these events will *not* fire for changes made to a SQLite database by a process other than Datasette itself.
Plugins can listen for events using the {ref}`plugin_hook_track_event` plugin hook, which will be called with instances of the following classes - or additional classes {ref}`registered by other plugins <plugin_hook_register_events>`.
```{eval-rst}

View file

@ -98,16 +98,16 @@ You can increase this on an individual page by adding ``?_facet_size=100`` to th
.. _facets_metadata:
Facets in configuration
-----------------------
Facets in metadata
------------------
You can turn facets on by default for specific tables by adding a ``"facets"`` key to the table configuration in ``datasette.yaml``. See also the :ref:`table configuration reference <table_configuration_facets>` for a quick overview.
You can turn facets on by default for specific tables by adding them to a ``"facets"`` key in a Datasette :ref:`metadata` file.
Here's an example that turns on faceting by default for the ``qLegalStatus`` column in the ``Street_Tree_List`` table in the ``sf-trees`` database:
.. [[[cog
from metadata_doc import config_example
config_example(cog, {
from metadata_doc import metadata_example
metadata_example(cog, {
"databases": {
"sf-trees": {
"tables": {
@ -120,7 +120,7 @@ Here's an example that turns on faceting by default for the ``qLegalStatus`` col
})
.. ]]]
.. tab:: datasette.yaml
.. tab:: metadata.yaml
.. code-block:: yaml
@ -132,7 +132,7 @@ Here's an example that turns on faceting by default for the ``qLegalStatus`` col
- qLegalStatus
.. tab:: datasette.json
.. tab:: metadata.json
.. code-block:: json
@ -153,12 +153,10 @@ Here's an example that turns on faceting by default for the ``qLegalStatus`` col
Facets defined in this way will always be shown in the interface and returned in the API, regardless of the ``_facet`` arguments passed to the view.
Facets defined in configuration will be displayed in the order they are listed. Any additional facets added via query string parameters (e.g. ``?_facet=column_name``) will appear after the configured facets, sorted by the number of unique values.
You can specify :ref:`array <facet_by_json_array>` or :ref:`date <facet_by_date>` facets using JSON objects with a single key of ``array`` or ``date`` and a value specifying the column, like this:
You can specify :ref:`array <facet_by_json_array>` or :ref:`date <facet_by_date>` facets in metadata using JSON objects with a single key of ``array`` or ``date`` and a value specifying the column, like this:
.. [[[cog
config_example(cog, {
metadata_example(cog, {
"facets": [
{"array": "tags"},
{"date": "created"}
@ -166,7 +164,7 @@ You can specify :ref:`array <facet_by_json_array>` or :ref:`date <facet_by_date>
})
.. ]]]
.. tab:: datasette.yaml
.. tab:: metadata.yaml
.. code-block:: yaml
@ -175,7 +173,7 @@ You can specify :ref:`array <facet_by_json_array>` or :ref:`date <facet_by_date>
- date: created
.. tab:: datasette.json
.. tab:: metadata.json
.. code-block:: json
@ -194,7 +192,7 @@ You can specify :ref:`array <facet_by_json_array>` or :ref:`date <facet_by_date>
You can change the default facet size (the number of results shown for each facet) for a table using ``facet_size``:
.. [[[cog
config_example(cog, {
metadata_example(cog, {
"databases": {
"sf-trees": {
"tables": {
@ -208,7 +206,7 @@ You can change the default facet size (the number of results shown for each face
})
.. ]]]
.. tab:: datasette.yaml
.. tab:: metadata.yaml
.. code-block:: yaml
@ -221,7 +219,7 @@ You can change the default facet size (the number of results shown for each face
facet_size: 10
.. tab:: datasette.json
.. tab:: metadata.json
.. code-block:: json

View file

@ -52,7 +52,7 @@ Configuring full-text search for a table or view
If a table has a corresponding FTS table set up using the ``content=`` argument to ``CREATE VIRTUAL TABLE`` shown below, Datasette will detect it automatically and add a search interface to the table page for that table.
You can also manually configure which table should be used for full-text search using query string parameters or table configuration in ``datasette.yaml`` (see :ref:`table_configuration_fts`). You can set the associated FTS table for a specific table and you can also set one for a view - if you do that, the page for that SQL view will offer a search option.
You can also manually configure which table should be used for full-text search using query string parameters or :ref:`metadata`. You can set the associated FTS table for a specific table and you can also set one for a view - if you do that, the page for that SQL view will offer a search option.
Use ``?_fts_table=x`` to over-ride the FTS table for a specific page. If the primary key was something other than ``rowid`` you can use ``?_fts_pk=col`` to set that as well. This is particularly useful for views, for example:
@ -65,8 +65,8 @@ The ``"searchmode": "raw"`` property can be used to default the table to accepti
Here is an example which enables full-text search (with SQLite advanced search operators) for a ``display_ads`` view which is defined against the ``ads`` table and hence needs to run FTS against the ``ads_fts`` table, using the ``id`` as the primary key:
.. [[[cog
from metadata_doc import config_example
config_example(cog, {
from metadata_doc import metadata_example
metadata_example(cog, {
"databases": {
"russian-ads": {
"tables": {
@ -81,7 +81,7 @@ Here is an example which enables full-text search (with SQLite advanced search o
})
.. ]]]
.. tab:: datasette.yaml
.. tab:: metadata.yaml
.. code-block:: yaml
@ -94,7 +94,7 @@ Here is an example which enables full-text search (with SQLite advanced search o
searchmode: raw
.. tab:: datasette.json
.. tab:: metadata.json
.. code-block:: json

View file

@ -673,8 +673,8 @@ This example checks if the user can access a specific table, and sets ``private`
.. _datasette_create_token:
await .create_token(actor_id, expires_after=None, restrictions=None, handler=None)
----------------------------------------------------------------------------------
.create_token(actor_id, expires_after=None, restrict_all=None, restrict_database=None, restrict_resource=None)
--------------------------------------------------------------------------------------------------------------
``actor_id`` - string
The ID of the actor to create a token for.
@ -682,13 +682,16 @@ await .create_token(actor_id, expires_after=None, restrictions=None, handler=Non
``expires_after`` - int, optional
The number of seconds after which the token should expire.
``restrictions`` - :ref:`TokenRestrictions <TokenRestrictions>`, optional
A :ref:`TokenRestrictions <TokenRestrictions>` object limiting which actions the token can perform.
``restrict_all`` - iterable, optional
A list of actions that this token should be restricted to across all databases and resources.
``handler`` - string, optional
The name of a specific token handler to use. If omitted, the first registered handler is used. See :ref:`plugin_hook_register_token_handler`.
``restrict_database`` - dict, optional
For restricting actions within specific databases, e.g. ``{"mydb": ["view-table", "view-query"]}``.
This is an ``async`` method that returns an :ref:`API token <CreateTokenView>` string which can be used to authenticate requests to the Datasette API. The default ``SignedTokenHandler`` returns tokens of the format ``dstok_...``.
``restrict_resource`` - dict, optional
For restricting actions to specific resources (tables, SQL views and :ref:`canned_queries`) within a database. For example: ``{"mydb": {"mytable": ["insert-row", "update-row"]}}``.
This method returns a signed :ref:`API token <CreateTokenView>` of the format ``dstok_...`` which can be used to authenticate requests to the Datasette API.
All tokens must have an ``actor_id`` string indicating the ID of the actor which the token will act on behalf of.
@ -696,96 +699,28 @@ Tokens default to lasting forever, but can be set to expire after a given number
.. code-block:: python
token = await datasette.create_token(
token = datasette.create_token(
actor_id="user1",
expires_after=3600,
)
.. _TokenRestrictions:
TokenRestrictions
~~~~~~~~~~~~~~~~~
The ``TokenRestrictions`` class uses a builder pattern to specify which actions a token is allowed to perform. Import it from ``datasette.tokens``:
.. code-block:: python
from datasette.tokens import TokenRestrictions
restrictions = (
TokenRestrictions()
.allow_all("view-instance")
.allow_all("view-table")
.allow_database("docs", "view-query")
.allow_resource("docs", "attachments", "insert-row")
.allow_resource("docs", "attachments", "update-row")
)
The builder methods are:
- ``allow_all(action)`` - allow an action across all databases and resources
- ``allow_database(database, action)`` - allow an action on a specific database
- ``allow_resource(database, resource, action)`` - allow an action on a specific resource (table, SQL view or :ref:`stored query <stored_queries>`) within a database
Each method returns the ``TokenRestrictions`` instance so calls can be chained.
``TokenRestrictions`` also provides an ``abbreviated(datasette)`` method which returns the restrictions as a dictionary using the compact format described in :ref:`authentication_cli_create_token_restrict`, with action names replaced by their registered abbreviations. It returns the inner dictionary only - the ``"_r"`` wrapping key shown in that section is not included. Returns ``None`` if no restrictions are set. This is useful when writing a custom :ref:`plugin_hook_register_token_handler` that needs to embed restrictions in a token payload.
For example, the following restrictions:
.. code-block:: python
restrictions = (
TokenRestrictions()
.allow_all("view-instance")
.allow_database("docs", "view-query")
.allow_resource("docs", "attachments", "insert-row")
)
restrictions.abbreviated(datasette)
Returns this dictionary, using the abbreviations registered for each action:
.. code-block:: python
{
"a": ["vi"],
"d": {"docs": ["vq"]},
"r": {"docs": {"attachments": ["ir"]}},
}
The three ``restrict_*`` arguments can be used to create a token that has additional restrictions beyond what the associated actor is allowed to do.
The following example creates a token that can access ``view-instance`` and ``view-table`` across everything, can additionally use ``view-query`` for anything in the ``docs`` database and is allowed to execute ``insert-row`` and ``update-row`` in the ``attachments`` table in that database:
.. code-block:: python
token = await datasette.create_token(
token = datasette.create_token(
actor_id="user1",
restrictions=(
TokenRestrictions()
.allow_all("view-instance")
.allow_all("view-table")
.allow_database("docs", "view-query")
.allow_resource("docs", "attachments", "insert-row")
.allow_resource("docs", "attachments", "update-row")
),
restrict_all=("view-instance", "view-table"),
restrict_database={"docs": ("view-query",)},
restrict_resource={
"docs": {
"attachments": ("insert-row", "update-row")
}
},
)
.. _datasette_verify_token:
await .verify_token(token)
--------------------------
``token`` - string
The token string to verify.
This is an ``async`` method that verifies an API token by trying each registered token handler in order. Returns an actor dictionary from the first handler that recognizes the token, or ``None`` if no handler accepts it.
.. code-block:: python
actor = await datasette.verify_token(token)
if actor:
# Token was valid
print(actor["id"])
.. _datasette_get_database:
.get_database(name)
@ -837,10 +772,10 @@ await .get_resource_metadata(self, database_name, resource_name)
``database_name`` - string
The name of the database to query.
``resource_name`` - string
The name of the resource (table, view, or stored query) inside ``database_name`` to query.
The name of the resource (table, view, or canned query) inside ``database_name`` to query.
Returns metadata keys and values for the specified "resource" as a dictionary.
A "resource" in this context can be a table, view, or stored query.
A "resource" in this context can be a table, view, or canned query.
Internally queries the ``metadata_resources`` table inside the :ref:`internal database <internals_internal>`.
.. _datasette_get_column_metadata:
@ -851,7 +786,7 @@ await .get_column_metadata(self, database_name, resource_name, column_name)
``database_name`` - string
The name of the database to query.
``resource_name`` - string
The name of the resource (table, view, or stored query) inside ``database_name`` to query.
The name of the resource (table, view, or canned query) inside ``database_name`` to query.
``column_name`` - string
The name of the column inside ``resource_name`` to query.
@ -897,7 +832,7 @@ await .set_resource_metadata(self, database_name, resource_name, key, value)
``database_name`` - string
The database the metadata entry belongs to.
``resource_name`` - string
The resource (table, view, or stored query) the metadata entry belongs to.
The resource (table, view, or canned query) the metadata entry belongs to.
``key`` - string
The metadata entry key to insert (ex ``title``, ``description``, etc.)
``value`` - string
@ -915,7 +850,7 @@ await .set_column_metadata(self, database_name, resource_name, column_name, key,
``database_name`` - string
The database the metadata entry belongs to.
``resource_name`` - string
The resource (table, view, or stored query) the metadata entry belongs to.
The resource (table, view, or canned query) the metadata entry belongs to.
``column-name`` - string
The column the metadata entry belongs to.
``key`` - string
@ -927,297 +862,6 @@ Adds a new metadata entry for the specified column.
Any previous column-level metadata entry with the same ``key`` will be overwritten.
Internally upserts the value into the the ``metadata_columns`` table inside the :ref:`internal database <internals_internal>`.
.. _datasette_stored_queries:
Stored queries
--------------
:ref:`Stored queries <stored_queries>` are stored in the ``queries`` table in the :ref:`internal database <internals_internal>`. Plugins can use the following methods to add, update, list and remove stored queries.
.. _datasette_add_query:
await .add_query(database, name, sql, ...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Adds a stored query.
.. code-block:: python
async def add_query(
self,
database,
name,
sql,
*,
title=None,
description=None,
description_html=None,
hide_sql=False,
fragment=None,
parameters=None,
is_write=False,
is_private=False,
is_trusted=False,
source="plugin",
owner_id=None,
on_success_message=None,
on_success_message_sql=None,
on_success_redirect=None,
on_error_message=None,
on_error_redirect=None,
replace=True,
): ...
``database`` - string
The name of the database this query should belong to.
``name`` - string
The name of the stored query, used in the URL for that query.
``sql`` - string
The SQL for the stored query.
``title`` - string, optional
A display title for the query.
``description`` - string, optional
A plain text description.
``description_html`` - string, optional
An HTML description.
``hide_sql`` - boolean, optional
Set to ``True`` to hide the SQL by default on the query page.
``fragment`` - string, optional
A URL fragment to append to query links, for example ``"chart"``.
``parameters`` - list of strings, optional
Explicit parameter names for the query form. If omitted, Datasette derives parameters from the SQL.
``is_write`` - boolean, optional
Set to ``True`` for writable queries. They will the run against the SQLite write connection for the database.
``is_private`` - boolean, optional
Set to ``True`` for private queries. Private queries can only be viewed, updated or deleted by their owner.
``is_trusted`` - boolean, optional
Set to ``True`` for :ref:`trusted stored queries <trusted_stored_queries>`.
``source`` - string, optional
Identifies where the query came from. Defaults to ``"plugin"``.
``owner_id`` - string, optional
Actor ID of the query owner, used by private query permissions.
``on_success_message``, ``on_success_message_sql``, ``on_success_redirect``, ``on_error_message``, ``on_error_redirect`` - strings, optional
Options for :ref:`writable queries <queries_writable>`.
``replace`` - boolean, optional
Defaults to ``True``, which replaces any existing stored query with the same ``database`` and ``name``. Set this to ``False`` to raise a SQLite integrity error if the query already exists.
Example:
.. code-block:: python
await datasette.add_query(
database="fixtures",
name="recent_rows",
sql="select * from facetable order by created desc limit 10",
title="Recent rows",
source="my-plugin",
)
.. _datasette_update_query:
await .update_query(database, name, ...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Updates fields for an existing stored query. Only keyword arguments that are provided will be changed.
The available keyword arguments are the same as those for :ref:`datasette_add_query`, except for ``replace``. Pass ``None`` to clear optional text fields and options such as ``on_success_redirect``. Passing ``hide_sql=False`` removes the ``hide_sql`` option.
Example:
.. code-block:: python
await datasette.update_query(
database="fixtures",
name="recent_rows",
title="Latest rows",
is_private=True,
owner_id="alice",
)
.. _datasette_get_query:
await .get_query(database, name)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Returns a ``StoredQuery`` dataclass instance, or ``None`` if the query does not exist.
``StoredQuery`` has the following attributes: ``database``, ``name``, ``sql``, ``title``, ``description``, ``description_html``, ``hide_sql``, ``fragment``, ``parameters``, ``is_write``, ``is_private``, ``is_trusted``, ``source``, ``owner_id``, ``on_success_message``, ``on_success_message_sql``, ``on_success_redirect``, ``on_error_message`` and ``on_error_redirect``.
``parameters`` is a list of explicit parameter names.
.. _datasette_list_queries:
await .list_queries(database=None, ...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Lists stored queries visible to the specified actor.
.. code-block:: python
async def list_queries(
self,
database=None,
*,
actor=None,
limit=50,
cursor=None,
q=None,
is_write=None,
is_private=None,
is_trusted=None,
source=None,
owner_id=None,
include_private=False,
): ...
``database`` - string, optional
Restrict results to a specific database. Omit this to list queries across all databases.
``actor`` - dictionary, optional
The authenticated actor. Results are filtered using that actor's ``view-query`` permission.
``limit`` - integer, optional
Number of queries to return. Values are clamped to the range 1-1000.
``cursor`` - string, optional
Pagination cursor from the previous page's ``next`` value.
``q`` - string, optional
Search string matched against query name, title, description and SQL.
``is_write``, ``is_private``, ``is_trusted`` - boolean, optional
Filter by those stored query flags.
``source`` - string, optional
Filter by query source.
``owner_id`` - string, optional
Filter by owner actor ID.
``include_private`` - boolean, optional
Set to ``True`` to populate a ``private`` boolean on each returned ``StoredQuery`` indicating if anonymous users would be unable to view that query.
The return value is a ``StoredQueryPage`` dataclass instance with these attributes:
``queries`` - list of StoredQuery instances
Stored queries in the same format returned by :ref:`datasette_get_query`.
``next`` - string or None
Pagination cursor for the next page, if one exists.
``has_more`` - boolean
``True`` if another page of results is available.
``limit`` - integer
The limit used for this page.
.. _datasette_count_queries:
await .count_queries(database=None, ...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Counts stored queries visible to the specified actor. This accepts the same filtering keyword arguments as :ref:`datasette_list_queries`, except for ``limit``, ``cursor`` and ``include_private``.
.. _datasette_remove_query:
await .remove_query(database, name, source=None)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Removes a stored query.
``database`` - string
The database the query belongs to.
``name`` - string
The query name.
``source`` - string, optional
If provided, only a query with this source will be removed.
.. _datasette_column_types:
Column types
------------
Column types are stored in the ``column_types`` table in the :ref:`internal database <internals_internal>`. The following methods provide the API for reading and modifying column type assignments.
.. _datasette_get_column_type:
await .get_column_type(database, resource, column)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
``database`` - string
The name of the database.
``resource`` - string
The name of the table or view.
``column`` - string
The name of the column.
Returns a ``ColumnType`` subclass instance with ``.config`` populated for the specified column, or ``None`` if no column type is assigned.
.. code-block:: python
ct = await datasette.get_column_type(
"mydb", "mytable", "email_col"
)
if ct:
print(ct.name) # "email"
print(ct.config) # None or {...}
.. _datasette_get_column_types:
await .get_column_types(database, resource)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
``database`` - string
The name of the database.
``resource`` - string
The name of the table or view.
Returns a dictionary mapping column names to ``ColumnType`` subclass instances (with ``.config`` populated) for all columns that have assigned types on the given resource.
.. code-block:: python
ct_map = await datasette.get_column_types("mydb", "mytable")
for col_name, ct in ct_map.items():
print(col_name, ct.name, ct.config)
.. _datasette_set_column_type:
await .set_column_type(database, resource, column, column_type, config=None)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
``database`` - string
The name of the database.
``resource`` - string
The name of the table or view.
``column`` - string
The name of the column.
``column_type`` - string
The column type name to assign, e.g. ``"email"``.
``config`` - dict, optional
Optional configuration dict for the column type.
Assigns a column type to a column. Overwrites any existing assignment for that column.
Raises ``ValueError`` if the column type declares ``sqlite_types`` and the target column does not match one of those SQLite types.
.. code-block:: python
await datasette.set_column_type(
"mydb",
"mytable",
"location",
"point",
config={"srid": 4326},
)
.. _datasette_remove_column_type:
await .remove_column_type(database, resource, column)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
``database`` - string
The name of the database.
``resource`` - string
The name of the table or view.
``column`` - string
The name of the column.
Removes the column type assignment for the specified column.
.. code-block:: python
await datasette.remove_column_type(
"mydb", "mytable", "location"
)
.. _datasette_add_database:
.add_database(db, name=None, route=None)
@ -1297,19 +941,6 @@ The ``name`` and ``route`` parameters are optional and work the same way as they
This removes a database that has been previously added. ``name=`` is the unique name of that database.
.. _datasette_close:
.close()
--------
Release all resources held by this ``Datasette`` instance. This calls :ref:`database_close` on every attached database (including the internal database), shuts down the thread pool executor used to run SQL queries, and unlinks the temporary file used to back the internal database if one was created.
``close()`` is synchronous, idempotent and one-way: after a call to ``close()`` any attempt to use the Datasette instance to execute SQL will raise a ``datasette.database.DatasetteClosedError`` exception. A closed ``Datasette`` cannot be reopened — callers that need a fresh instance should construct a new one.
If a call to ``Database.close()`` on one of the attached databases raises an exception, ``Datasette.close()`` will continue trying to close the remaining databases and will re-raise the first exception after every database has been processed.
When Datasette is being served over ASGI the ``close()`` method is wired up to the lifespan shutdown event, so resources are released cleanly on ``SIGTERM`` / ``SIGINT``.
.. _datasette_track_event:
await .track_event(event)
@ -1543,28 +1174,6 @@ These methods can be used with :ref:`internals_datasette_urls` - for example:
For documentation on available ``**kwargs`` options and the shape of the HTTPX Response object refer to the `HTTPX Async documentation <https://www.python-httpx.org/async/>`__.
.. _internals_datasette_client_actor:
Authenticating as an actor
~~~~~~~~~~~~~~~~~~~~~~~~~~
All ``datasette.client`` methods accept an optional ``actor=`` parameter. When set to a dictionary describing an actor, the request is made with a signed ``ds_actor`` cookie identifying that actor — as if the request had been made by a user who is signed in as that actor.
This is a convenient shorthand equivalent to signing the cookie manually using ``datasette.client.actor_cookie()``.
Example usage:
.. code-block:: python
response = await datasette.client.get(
"/-/actor.json", actor={"id": "root"}
)
assert response.json() == {"actor": {"id": "root"}}
This parameter works with all HTTP methods (``get``, ``post``, ``put``, ``patch``, ``delete``, ``options``, ``head``) and the generic ``request`` method.
Passing both ``actor=`` and a ``ds_actor`` cookie via ``cookies=`` raises a ``TypeError``. Other unrelated cookies can be combined with ``actor=``.
Bypassing permission checks
~~~~~~~~~~~~~~~~~~~~~~~~~~~
@ -1805,8 +1414,8 @@ Instances of the ``Database`` class can be used to execute queries against attac
.. _database_constructor:
Database(ds, path=None, is_mutable=True, is_memory=False, memory_name=None, is_temp_disk=False)
-----------------------------------------------------------------------------------------------
Database(ds, path=None, is_mutable=True, is_memory=False, memory_name=None)
---------------------------------------------------------------------------
The ``Database()`` constructor can be used by plugins, in conjunction with :ref:`datasette_add_database`, to create and register new databases.
@ -1827,13 +1436,6 @@ The arguments are as follows:
``memory_name`` - string or ``None``
Use this to create a named in-memory database. Unlike regular memory databases these can be accessed by multiple threads and will persist an changes made to them for the lifetime of the Datasette server process.
``is_temp_disk`` - boolean
Set this to ``True`` to create a temporary file-backed database. This creates a SQLite database in a temporary file on disk (using Python's ``tempfile.mkstemp()``) with WAL mode enabled for better concurrent read/write performance. The temporary file is automatically cleaned up when the database is closed or when the process exits.
Unlike named in-memory databases (``memory_name``), temporary disk databases support concurrent readers and writers without locking errors, because WAL mode allows readers and writers to operate simultaneously. This makes them suitable for use cases like the internal database where concurrent access is common.
When ``is_temp_disk=True``, the ``path``, ``is_mutable``, and ``mode`` parameters are set automatically and should not be provided.
The first argument is the ``datasette`` instance you are attaching to, the second is a ``path=``, then ``is_mutable`` and ``is_memory`` are both optional arguments.
.. _database_hash:
@ -1999,36 +1601,6 @@ For example:
except Exception as e:
print("An error occurred:", e)
Your function can optionally accept a ``track_event`` parameter in addition to ``conn``. If it does, it will be passed a callable that can be used to queue events for dispatch after the write transaction commits successfully. Events queued this way are discarded if the write raises an exception.
.. code-block:: python
from datasette.events import AlterTableEvent
def my_write(conn, track_event):
before_schema = conn.execute(
"select sql from sqlite_master where name = 'my_table'"
).fetchone()[0]
conn.execute(
"alter table my_table add column new_col text"
)
after_schema = conn.execute(
"select sql from sqlite_master where name = 'my_table'"
).fetchone()[0]
track_event(
AlterTableEvent(
actor=None,
database="mydb",
table="my_table",
before_schema=before_schema,
after_schema=after_schema,
)
)
await database.execute_write_fn(my_write)
The value returned from ``await database.execute_write_fn(...)`` will be the return value from your function.
If your function raises an exception that exception will be propagated up to the ``await`` line.
@ -2048,8 +1620,6 @@ The :ref:`prepare_connection() <plugin_hook_prepare_connection>` plugin hook is
This allows plugins to execute database operations that might conflict with how database connections are usually configured. For example, running a ``VACUUM`` operation while bypassing any restrictions placed by the `datasette-sqlite-authorizer <https://github.com/datasette/datasette-sqlite-authorizer>`__ plugin.
Running ``VACUUM`` using this method also ensures it won't trigger incorrect :class:`~datasette.events.RenameTableEvent` events, since ``execute_isolated_fn()`` does not trigger the Datasette mechanism that detects renamed tables in a way that can be confused by a ``VACUUM``.
Plugins can also use this method to load potentially dangerous SQLite extensions, use them to perform an operation and then have them safely unloaded at the end of the call, without risk of exposing them to other connections.
Functions run using ``execute_isolated_fn()`` share the same queue as ``execute_write_fn()``, which guarantees that no writes can be executed at the same time as the isolated function is executing.
@ -2061,11 +1631,7 @@ The return value of the function will be returned by this method. Any exceptions
db.close()
----------
Release all resources held by this ``Database`` instance. This shuts down the background write thread (if one was started by a previous call to :ref:`database_execute_write_fn` or similar), closes the write connection, and closes any cached read connections.
After ``db.close()`` has been called, any further call to :ref:`database_execute`, :ref:`database_execute_fn`, :ref:`database_execute_write`, :ref:`database_execute_write_fn`, :ref:`database_execute_write_many`, :ref:`database_execute_write_script` or :ref:`database_execute_isolated_fn` will raise a ``datasette.database.DatasetteClosedError`` exception.
``close()`` is idempotent — calling it a second time is a no-op. It is one-way: a closed ``Database`` cannot be reopened.
Closes all of the open connections to file-backed databases. This is mainly intended to be used by large test suites, to avoid hitting limits on the number of open files.
.. _internals_database_introspection:
@ -2089,9 +1655,6 @@ The ``Database`` class also provides properties and methods for introspecting th
``db.is_memory`` - boolean
Is this database an in-memory database?
``db.is_temp_disk`` - boolean
Is this database a temporary file-backed database? See :ref:`database_constructor` for details. Temporary disk databases report ``hash`` as ``None`` but have real values for ``size`` and ``mtime_ns`` since they are backed by a file on disk.
``await db.attached_databases()`` - list of named tuples
Returns a list of additional databases that have been connected to this database using the SQLite ATTACH command. Each named tuple has fields ``seq``, ``name`` and ``file``.
@ -2120,13 +1683,13 @@ The ``Database`` class also provides properties and methods for introspecting th
The name of the FTS table associated with this table, if one exists.
``await db.label_column_for_table(table)`` - string or None
The label column that is associated with this table - either automatically detected or using the ``"label_column"`` key in configuration, see :ref:`table_configuration_label_column`.
The label column that is associated with this table - either automatically detected or using the ``"label_column"`` key from :ref:`metadata`, see :ref:`label_columns`.
``await db.foreign_keys_for_table(table)`` - list of dictionaries
Details of columns in this table which are foreign keys to other tables. A list of dictionaries where each dictionary is shaped like this: ``{"column": string, "other_table": string, "other_column": string}``.
``await db.hidden_table_names()`` - list of strings
List of tables which Datasette "hides" by default - usually these are tables associated with SQLite's full-text search feature, the SpatiaLite extension or tables hidden using the :ref:`table_configuration_hidden` feature.
List of tables which Datasette "hides" by default - usually these are tables associated with SQLite's full-text search feature, the SpatiaLite extension or tables hidden using the :ref:`metadata_hiding_tables` feature.
``await db.get_table_definition(table)`` - string
Returns the SQL definition for the table - the ``CREATE TABLE`` statement and any associated ``CREATE INDEX`` statements.
@ -2198,16 +1761,19 @@ The ``Database`` class also provides properties and methods for introspecting th
CSRF protection
===============
Datasette protects against Cross-Site Request Forgery by inspecting the browser-set ``Sec-Fetch-Site`` and ``Origin`` headers on every unsafe (non-``GET``/``HEAD``/``OPTIONS``) request, following the approach described in `Filippo Valsorda's article <https://words.filippo.io/csrf/>`__ and implemented in Go 1.25's ``http.CrossOriginProtection``.
Datasette uses `asgi-csrf <https://github.com/simonw/asgi-csrf>`__ to guard against CSRF attacks on form POST submissions. Users receive a ``ds_csrftoken`` cookie which is compared against the ``csrftoken`` form field (or ``x-csrftoken`` HTTP header) for every incoming request.
A request is rejected with a ``403`` response if:
If your plugin implements a ``<form method="POST">`` anywhere you will need to include that token. You can do so with the following template snippet:
- It carries ``Sec-Fetch-Site`` with any value other than ``same-origin`` or ``none``, or
- It has no ``Sec-Fetch-Site`` header but does carry an ``Origin`` header whose host does not match the request ``Host``.
.. code-block:: html
Requests from non-browser clients (``curl``, server-to-server scripts, etc.) do not send ``Sec-Fetch-Site`` or ``Origin`` and pass through unchanged - CSRF is a browser-only attack.
<input type="hidden" name="csrftoken" value="{{ csrftoken() }}">
No token, cookie, or hidden form field is needed. Any ``<form method="POST">`` inside Datasette or a plugin will be accepted from the same origin without modification.
If you are rendering templates using the :ref:`datasette_render_template` method the ``csrftoken()`` helper will only work if you provide the ``request=`` argument to that method. If you forget to do this you will see the following error::
form-urlencoded POST field did not match cookie
You can selectively disable CSRF protection using the :ref:`plugin_hook_skip_csrf` hook.
.. _internals_internal:
@ -2334,34 +1900,6 @@ The internal database schema is as follows:
value text,
unique(database_name, resource_name, column_name, key)
);
CREATE TABLE column_types (
database_name TEXT NOT NULL,
resource_name TEXT NOT NULL,
column_name TEXT NOT NULL,
column_type TEXT NOT NULL,
config TEXT,
PRIMARY KEY (database_name, resource_name, column_name)
);
CREATE TABLE queries (
database_name TEXT NOT NULL,
name TEXT NOT NULL,
sql TEXT NOT NULL,
title TEXT,
description TEXT,
description_html TEXT,
options TEXT NOT NULL DEFAULT '{}',
parameters TEXT NOT NULL DEFAULT '[]',
is_write INTEGER NOT NULL DEFAULT 0 CHECK (is_write IN (0, 1)),
is_private INTEGER NOT NULL DEFAULT 0 CHECK (is_private IN (0, 1)),
is_trusted INTEGER NOT NULL DEFAULT 0 CHECK (is_trusted IN (0, 1)),
source TEXT NOT NULL DEFAULT 'user',
owner_id TEXT,
created_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP,
updated_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (database_name, name)
);
CREATE INDEX queries_owner_idx
ON queries(owner_id);
.. [[[end]]]
@ -2431,43 +1969,6 @@ Note that the space character is a special case: it will be replaced with a ``+`
.. autofunction:: datasette.utils.tilde_decode
.. _internals_utils_call_with_supported_arguments:
call_with_supported_arguments(fn, \*\*kwargs)
---------------------------------------------
Call ``fn``, passing it only those keyword arguments that match its function signature. This implements a dependency injection pattern - the caller provides all available arguments, and the function receives only the ones it declares as parameters.
This is useful in plugins that want to define callback functions that only declare the arguments they need. For example:
.. code-block:: python
from datasette.utils import call_with_supported_arguments
def my_callback(request, datasette): ...
# This will pass only request and datasette, ignoring other kwargs:
call_with_supported_arguments(
my_callback,
request=request,
datasette=datasette,
database=database,
table=table,
)
.. autofunction:: datasette.utils.call_with_supported_arguments
.. _internals_utils_async_call_with_supported_arguments:
await async_call_with_supported_arguments(fn, \*\*kwargs)
---------------------------------------------------------
Async version of :ref:`call_with_supported_arguments <internals_utils_call_with_supported_arguments>`. Use this for ``async def`` callback functions.
.. autofunction:: datasette.utils.async_call_with_supported_arguments
.. _internals_tracer:
datasette.tracer

View file

@ -144,62 +144,46 @@ Shows currently attached databases. `Databases example <https://latest.datasette
}
]
.. _JumpView:
.. _TablesView:
/-/jump
-------
/-/tables
---------
Returns a JSON list of items that the current actor has permission to view for Datasette's jump menu. By default this includes visible databases, tables, views and stored queries, and plugins can contribute additional items.
Returns a JSON list of all tables that the current actor has permission to view. This endpoint uses the resource-based permission system and respects database and table-level access controls.
Each item includes a ``type`` string used as a category label in the menu. Items can also include an optional ``description`` with longer text describing that individual result.
The endpoint supports a ``?q=`` query parameter for filtering tables by name using case-insensitive regex matching.
The endpoint supports a ``?q=`` query parameter for filtering items by name.
`Jump example <https://latest.datasette.io/-/jump>`_:
`Tables example <https://latest.datasette.io/-/tables>`_:
.. code-block:: json
{
"matches": [
{
"name": "fixtures",
"url": "/fixtures",
"type": "database",
"description": null
"name": "fixtures/facetable",
"url": "/fixtures/facetable"
},
{
"name": "fixtures: facetable",
"url": "/fixtures/facetable",
"type": "table",
"description": null
},
{
"name": "fixtures: recent_releases",
"url": "/fixtures/recent_releases",
"type": "query",
"description": null
"name": "fixtures/searchable",
"url": "/fixtures/searchable"
}
],
"truncated": false
]
}
Search example with ``?q=facet`` returns only items matching ``.*facet.*``:
Search example with ``?q=facet`` returns only tables matching ``.*facet.*``:
.. code-block:: json
{
"matches": [
{
"name": "fixtures: facetable",
"url": "/fixtures/facetable",
"type": "table",
"description": null
"name": "fixtures/facetable",
"url": "/fixtures/facetable"
}
],
"truncated": false
]
}
When multiple search terms are provided (e.g., ``?q=user+profile``), items must match the pattern ``.*user.*profile.*``. Results are ordered by relevance, then by item type and shortest display name.
When multiple search terms are provided (e.g., ``?q=user+profile``), tables must match the pattern ``.*user.*profile.*``. Results are ordered by shortest table name first.
.. _JsonDataView_threads:

View file

@ -58,48 +58,6 @@ JavaScript plugins are blocks of code that can be registered with Datasette usin
The ``implementation`` object passed to this method should include a ``version`` key defining the plugin version, and one or more of the following named functions providing the implementation of the plugin:
.. _javascript_plugins_makeJumpSections:
makeJumpSections()
~~~~~~~~~~~~~~~~~~
This method should return a JavaScript array of objects defining additional sections to be added to the blank state of the ``/`` jump menu, before the user starts typing a search.
Each object should have the following:
``id`` - string
A unique string ID for the section, for example ``agent-chat``
``render(node, context)`` - function
A function that will be called with a DOM node to render the section into
The ``context`` object has the following keys:
``navigationSearch``
The ``<navigation-search>`` custom element instance.
This example shows how a plugin might add a button for starting a new chat:
.. code-block:: javascript
document.addEventListener('datasette_init', function(ev) {
ev.detail.registerPlugin('agent-plugin', {
version: 0.1,
makeJumpSections: () => {
return [
{
id: 'agent-chat',
render: node => {
node.innerHTML = '<button type="button">Start a new chat</button>';
node.querySelector('button').addEventListener('click', () => {
location.href = '/-/agent/new';
});
}
}
];
}
});
});
.. _javascript_plugins_makeAboveTablePanelConfigs:
makeAboveTablePanelConfigs()

View file

@ -438,7 +438,7 @@ looks like:
]
The column in the foreign key table that is used for the label can be specified
in ``datasette.yaml`` - see :ref:`table_configuration_label_column`.
in ``metadata.json`` - see :ref:`label_columns`.
.. _json_api_discover_alternate:
@ -941,70 +941,6 @@ To use the ``"replace": true`` option you will also need the :ref:`actions_updat
Pass ``"alter": true`` to automatically add any missing columns to the existing table that are present in the rows you are submitting. This requires the :ref:`actions_alter_table` permission.
.. _TableSetColumnTypeView:
Setting a column type
~~~~~~~~~~~~~~~~~~~~~
To set a column type for a table column, make a ``POST`` to ``/<database>/<table>/-/set-column-type``. This requires the :ref:`actions_set_column_type` permission.
::
POST /<database>/<table>/-/set-column-type
Content-Type: application/json
Authorization: Bearer dstok_<rest-of-token>
.. code-block:: json
{
"column": "title",
"column_type": {
"type": "email"
}
}
This will return a ``200`` response like this:
.. code-block:: json
{
"ok": true,
"database": "data",
"table": "posts",
"column": "title",
"column_type": {
"type": "email",
"config": null
}
}
To provide column type configuration, include a ``config`` object:
.. code-block:: json
{
"column": "title",
"column_type": {
"type": "url",
"config": {
"max_length": 200
}
}
}
To clear an existing column type assignment, set ``column_type`` to ``null``:
.. code-block:: json
{
"column": "title",
"column_type": null
}
This API stores the assignment in Datasette's internal database, so it can be used with immutable databases as well as mutable ones.
Any errors will return ``{"errors": ["... descriptive message ..."], "ok": false}``, and a ``400`` status code for a bad input or a ``403`` status code for an authentication or permission error.
.. _TableDropView:
Dropping tables

View file

@ -205,14 +205,370 @@ These will be displayed at the top of the table page, and will also show in the
You can see an example of how these look at `latest.datasette.io/fixtures/roadside_attractions <https://latest.datasette.io/fixtures/roadside_attractions>`__.
.. _metadata_table_config:
.. _metadata_default_sort:
Table configuration
-------------------
Setting a default sort order
----------------------------
Datasette supports a range of table-level configuration options including sort order, page size, facets, full-text search, column types, and more. These are now documented in the :ref:`table configuration <configuration_reference_table>` section of the configuration reference.
By default Datasette tables are sorted by primary key. You can over-ride this default for a specific table using the ``"sort"`` or ``"sort_desc"`` metadata properties:
For backwards compatibility these options can be specified in either ``metadata.yaml`` or ``datasette.yaml``.
.. [[[cog
metadata_example(cog, {
"databases": {
"mydatabase": {
"tables": {
"example_table": {
"sort": "created"
}
}
}
}
})
.. ]]]
.. tab:: metadata.yaml
.. code-block:: yaml
databases:
mydatabase:
tables:
example_table:
sort: created
.. tab:: metadata.json
.. code-block:: json
{
"databases": {
"mydatabase": {
"tables": {
"example_table": {
"sort": "created"
}
}
}
}
}
.. [[[end]]]
Or use ``"sort_desc"`` to sort in descending order:
.. [[[cog
metadata_example(cog, {
"databases": {
"mydatabase": {
"tables": {
"example_table": {
"sort_desc": "created"
}
}
}
}
})
.. ]]]
.. tab:: metadata.yaml
.. code-block:: yaml
databases:
mydatabase:
tables:
example_table:
sort_desc: created
.. tab:: metadata.json
.. code-block:: json
{
"databases": {
"mydatabase": {
"tables": {
"example_table": {
"sort_desc": "created"
}
}
}
}
}
.. [[[end]]]
.. _metadata_page_size:
Setting a custom page size
--------------------------
Datasette defaults to displaying 100 rows per page, for both tables and views. You can change this default page size on a per-table or per-view basis using the ``"size"`` key in ``metadata.json``:
.. [[[cog
metadata_example(cog, {
"databases": {
"mydatabase": {
"tables": {
"example_table": {
"size": 10
}
}
}
}
})
.. ]]]
.. tab:: metadata.yaml
.. code-block:: yaml
databases:
mydatabase:
tables:
example_table:
size: 10
.. tab:: metadata.json
.. code-block:: json
{
"databases": {
"mydatabase": {
"tables": {
"example_table": {
"size": 10
}
}
}
}
}
.. [[[end]]]
This size can still be over-ridden by passing e.g. ``?_size=50`` in the query string.
.. _metadata_sortable_columns:
Setting which columns can be used for sorting
---------------------------------------------
Datasette allows any column to be used for sorting by default. If you need to
control which columns are available for sorting you can do so using the optional
``sortable_columns`` key:
.. [[[cog
metadata_example(cog, {
"databases": {
"database1": {
"tables": {
"example_table": {
"sortable_columns": [
"height",
"weight"
]
}
}
}
}
})
.. ]]]
.. tab:: metadata.yaml
.. code-block:: yaml
databases:
database1:
tables:
example_table:
sortable_columns:
- height
- weight
.. tab:: metadata.json
.. code-block:: json
{
"databases": {
"database1": {
"tables": {
"example_table": {
"sortable_columns": [
"height",
"weight"
]
}
}
}
}
}
.. [[[end]]]
This will restrict sorting of ``example_table`` to just the ``height`` and
``weight`` columns.
You can also disable sorting entirely by setting ``"sortable_columns": []``
You can use ``sortable_columns`` to enable specific sort orders for a view called ``name_of_view`` in the database ``my_database`` like so:
.. [[[cog
metadata_example(cog, {
"databases": {
"my_database": {
"tables": {
"name_of_view": {
"sortable_columns": [
"clicks",
"impressions"
]
}
}
}
}
})
.. ]]]
.. tab:: metadata.yaml
.. code-block:: yaml
databases:
my_database:
tables:
name_of_view:
sortable_columns:
- clicks
- impressions
.. tab:: metadata.json
.. code-block:: json
{
"databases": {
"my_database": {
"tables": {
"name_of_view": {
"sortable_columns": [
"clicks",
"impressions"
]
}
}
}
}
}
.. [[[end]]]
.. _label_columns:
Specifying the label column for a table
---------------------------------------
Datasette's HTML interface attempts to display foreign key references as
labelled hyperlinks. By default, it looks for referenced tables that only have
two columns: a primary key column and one other. It assumes that the second
column should be used as the link label.
If your table has more than two columns you can specify which column should be
used for the link label with the ``label_column`` property:
.. [[[cog
metadata_example(cog, {
"databases": {
"database1": {
"tables": {
"example_table": {
"label_column": "title"
}
}
}
}
})
.. ]]]
.. tab:: metadata.yaml
.. code-block:: yaml
databases:
database1:
tables:
example_table:
label_column: title
.. tab:: metadata.json
.. code-block:: json
{
"databases": {
"database1": {
"tables": {
"example_table": {
"label_column": "title"
}
}
}
}
}
.. [[[end]]]
.. _metadata_hiding_tables:
Hiding tables
-------------
You can hide tables from the database listing view (in the same way that FTS and
SpatiaLite tables are automatically hidden) using ``"hidden": true``:
.. [[[cog
metadata_example(cog, {
"databases": {
"database1": {
"tables": {
"example_table": {
"hidden": True
}
}
}
}
})
.. ]]]
.. tab:: metadata.yaml
.. code-block:: yaml
databases:
database1:
tables:
example_table:
hidden: true
.. tab:: metadata.json
.. code-block:: json
{
"databases": {
"database1": {
"tables": {
"example_table": {
"hidden": true
}
}
}
}
}
.. [[[end]]]
.. _metadata_reference:
@ -257,7 +613,7 @@ Table-level metadata
"Table-level" metadata refers to fields that can be specified for each table in a Datasette instance. These attributes should be listed under a specific table using the `"tables"` field.
The following metadata fields are supported at the table level:
The following are the full list of allowed table-level metadata fields:
- ``source``
- ``source_url``
@ -265,6 +621,13 @@ The following metadata fields are supported at the table level:
- ``license_url``
- ``about``
- ``about_url``
- ``columns`` (see :ref:`metadata_column_descriptions`)
Additionally, tables support a number of configuration options (``sort``, ``sort_desc``, ``size``, ``sortable_columns``, ``label_column``, ``hidden``, ``facets``, ``facet_size``, ``fts_table``, ``fts_pk``, ``searchmode``, ``column_types``). See :ref:`table configuration <configuration_reference_table>` for full details.
- ``hidden``
- ``sort/sort_desc``
- ``size``
- ``sortable_columns``
- ``label_column``
- ``facets``
- ``fts_table``
- ``fts_pk``
- ``searchmode``
- ``columns``

View file

@ -28,7 +28,7 @@ The index page can also be accessed at ``/-/``, useful for if the default index
Database
========
Each database has a page listing the tables, views and stored queries available for that database. If the :ref:`actions_execute_sql` permission is enabled (it's on by default) there will also be an interface for executing arbitrary SQL select queries against the data.
Each database has a page listing the tables, views and canned queries available for that database. If the :ref:`actions_execute_sql` permission is enabled (it's on by default) there will also be an interface for executing arbitrary SQL select queries against the data.
Examples:
@ -40,8 +40,6 @@ The JSON version of this page provides programmatic access to the underlying dat
* `fivethirtyeight.datasettes.com/fivethirtyeight.json <https://fivethirtyeight.datasettes.com/fivethirtyeight.json>`_
* `datasette.io/global-power-plants.json <https://datasette.io/global-power-plants.json>`_
The returned object includes an ``"ok": true`` key alongside keys such as ``"database"``, ``"tables"``, ``"views"``, ``"queries"`` and ``"metadata"``.
.. _DatabaseView_hidden:
Hidden tables
@ -52,7 +50,7 @@ Some tables listed on the database page are treated as hidden. Hidden tables are
The following tables are hidden by default:
- Any table with a name that starts with an underscore - this is a Datasette convention to help plugins easily hide their own internal tables.
- Tables that have been configured as ``"hidden": true`` using :ref:`table_configuration_hidden`.
- Tables that have been configured as ``"hidden": true`` using :ref:`metadata_hiding_tables`.
- ``*_fts`` tables that implement SQLite full-text search indexes.
- Tables relating to the inner workings of the SpatiaLite SQLite extension.
- ``sqlite_stat`` tables used to store statistics used by the query optimizer.
@ -68,7 +66,7 @@ This means you can link directly to a query by constructing the following URL:
``/database-name/-/query?sql=SELECT+*+FROM+table_name``
Each configured :ref:`stored query <stored_queries>` has its own page, at ``/database-name/query-name``. Viewing this page will execute the query and display the results.
Each configured :ref:`canned query <canned_queries>` has its own page, at ``/database-name/query-name``. Viewing this page will execute the query and display the results.
In both cases adding a ``.json`` extension to the URL will return the results as JSON.

View file

@ -78,14 +78,12 @@ write_wrapper(datasette, database, request, transaction)
``transaction`` - bool
``True`` if the write will be wrapped in a database transaction.
Return a generator function that accepts a ``conn`` argument (a SQLite connection object) and optionally a ``track_event`` argument. The generator should ``yield`` exactly once. Code before the ``yield`` runs before the write function executes; code after the ``yield`` runs after it completes.
Return a generator function that accepts a ``conn`` argument (a SQLite connection object). The generator should ``yield`` exactly once. Code before the ``yield`` runs before the write function executes; code after the ``yield`` runs after it completes.
The result of the write function is sent back through the ``yield``, so you can capture it with ``result = yield``.
If the write function raises an exception, it is thrown into the generator so you can handle it with a ``try`` / ``except`` around the ``yield``.
If your generator accepts ``track_event``, you can call ``track_event(event)`` to queue an event that will be dispatched via :ref:`datasette.track_event() <datasette_track_event>` after the write commits successfully. Events are discarded if the write raises an exception.
Return ``None`` to skip wrapping for this particular write.
This example logs every write operation:
@ -476,8 +474,8 @@ Examples: `datasette-publish-fly <https://datasette.io/plugins/datasette-publish
.. _plugin_hook_render_cell:
render_cell(row, value, column, table, pks, database, datasette, request, column_type)
--------------------------------------------------------------------------------------
render_cell(row, value, column, table, pks, database, datasette, request)
-------------------------------------------------------------------------
Lets you customize the display of values within table cells in the HTML table view.
@ -505,11 +503,6 @@ Lets you customize the display of values within table cells in the HTML table vi
``request`` - :ref:`internals_request`
The current request object
``column_type`` - :ref:`ColumnType <datasette_column_types>` subclass instance or None
The :ref:`ColumnType <datasette_column_types>` subclass instance assigned to this column (with ``.config`` populated), or ``None`` if no column type is assigned. You can access ``column_type.name``, ``column_type.config``, etc.
If a column has a :ref:`column type <datasette_column_types>` assigned and that column type's ``render_cell`` method returns a non-``None`` value, it will take priority over this plugin hook.
If your hook returns ``None``, it will be ignored. Use this to indicate that your hook is not able to custom render this particular value.
If the hook returns a string, that string will be rendered in the table cell.
@ -609,7 +602,7 @@ When a request is received, the ``"render"`` callback function is called with ze
The SQL query that was executed.
``query_name`` - string or None
If this was the execution of a :ref:`stored query <stored_queries>`, the name of that query.
If this was the execution of a :ref:`canned query <canned_queries>`, the name of that query.
``database`` - string
The name of the database.
@ -892,15 +885,13 @@ Actions define what operations can be performed on resources (like viewing a tab
"""A collection of documents."""
name = "document-collection"
parent_class = None
parent_name = None
def __init__(self, collection: str):
super().__init__(parent=collection, child=None)
@classmethod
async def resources_sql(
cls, datasette, actor=None
) -> str:
def resources_sql(cls) -> str:
return """
SELECT collection_name AS parent, NULL AS child
FROM document_collections
@ -911,15 +902,13 @@ Actions define what operations can be performed on resources (like viewing a tab
"""A document in a collection."""
name = "document"
parent_class = DocumentCollectionResource
parent_name = "document-collection"
def __init__(self, collection: str, document: str):
super().__init__(parent=collection, child=document)
@classmethod
async def resources_sql(
cls, datasette, actor=None
) -> str:
def resources_sql(cls) -> str:
return """
SELECT collection_name AS parent, document_id AS child
FROM documents
@ -965,15 +954,13 @@ The fields of the ``Action`` dataclass are as follows:
- Define a ``name`` class attribute (e.g., ``"document"``)
- Define a ``parent_class`` class attribute (``None`` for top-level resources like databases, or the parent ``Resource`` subclass for child resources)
- Implement an async ``resources_sql(cls, datasette, actor=None)`` classmethod that returns SQL returning all resources as ``(parent, child)`` columns
- Implement a ``resources_sql()`` classmethod that returns SQL returning all resources as ``(parent, child)`` columns
- Have an ``__init__`` method that accepts appropriate parameters and calls ``super().__init__(parent=..., child=...)``
.. _plugin_resources_sql:
The ``resources_sql()`` method
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The ``resources_sql(datasette, actor)`` method
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The ``resources_sql()`` classmethod returns a SQL query that lists all resources of that type that exist in the system. It can be async because Datasette calls it with ``await``, and it receives the current ``datasette`` instance plus an optional ``actor`` argument.
The ``resources_sql()`` classmethod returns a SQL query that lists all resources of that type that exist in the system.
This query is used by Datasette to efficiently check permissions across multiple resources at once. When a user requests a list of resources (like tables, documents, or other entities), Datasette uses this SQL to:
@ -992,7 +979,7 @@ For example, if you're building a document management plugin with collections an
.. code-block:: python
@classmethod
async def resources_sql(cls, datasette, actor=None) -> str:
def resources_sql(cls) -> str:
return """
SELECT collection_name AS parent, document_id AS child
FROM documents
@ -1002,98 +989,6 @@ This tells Datasette "here's how to find all documents in the system - look in t
The permission system then uses this query along with rules from plugins to determine which documents each user can access, all efficiently in SQL rather than loading everything into Python.
.. _plugin_register_column_types:
register_column_types(datasette)
--------------------------------
Return a list of :ref:`ColumnType <datasette_column_types>` **subclasses** (not instances) to register custom column types. Column types define how values in specific columns are rendered, validated, and transformed.
.. code-block:: python
from datasette import hookimpl
from datasette.column_types import ColumnType, SQLiteType
import markupsafe
class ColorColumnType(ColumnType):
name = "color"
description = "CSS color value"
sqlite_types = (SQLiteType.TEXT,)
async def render_cell(
self,
value,
column,
table,
database,
datasette,
request,
):
if value:
return markupsafe.Markup(
'<span style="background-color: {color}">'
"{color}</span>"
).format(color=markupsafe.escape(value))
return None
async def validate(self, value, datasette):
if value and not value.startswith("#"):
return "Color must start with #"
return None
async def transform_value(self, value, datasette):
# Normalize to uppercase
if isinstance(value, str):
return value.upper()
return value
@hookimpl
def register_column_types(datasette):
return [ColorColumnType]
Each ``ColumnType`` subclass must define the following class attributes:
``name`` - string
Unique identifier for the column type, e.g. ``"color"``. Must be unique across all plugins.
``description`` - string
Human-readable label, e.g. ``"CSS color value"``.
``sqlite_types`` - tuple of ``SQLiteType`` values, optional
Restrict assignments of this column type to columns with matching SQLite types, e.g. ``(SQLiteType.TEXT,)``. If omitted, the column type can be assigned to any column.
And the following methods, all optional:
``render_cell(self, value, column, table, database, datasette, request)``
Return an HTML string to render this cell value, or ``None`` to fall through to the default ``render_cell`` plugin hook chain. When a column type provides rendering, it takes priority over the ``render_cell`` plugin hook.
``validate(self, value, datasette)``
Validate a value before it is written via the insert, update, or upsert API endpoints. Return ``None`` if valid, or a string error message if invalid. Null values and empty strings skip validation.
``transform_value(self, value, datasette)``
Transform a value before it appears in JSON API output. Return the transformed value. The default implementation returns the value unchanged.
Per-column configuration is available via ``self.config`` in all methods. When a column type is looked up for a specific column (via :ref:`get_column_type <datasette_get_column_type>` or :ref:`get_column_types <datasette_get_column_types>`), the returned instance has ``config`` set to the parsed JSON config dict for that column assignment, or ``None`` if no config was provided.
Column types are assigned to columns via the :ref:`column_types <table_configuration_column_types>` table configuration option:
.. code-block:: yaml
databases:
mydb:
tables:
mytable:
column_types:
bg_color: color
highlight:
type: color
config:
format: rgb
Datasette includes three built-in column types: ``url``, ``email``, and ``json``.
.. _plugin_asgi_wrapper:
asgi_wrapper(datasette)
@ -1207,6 +1102,85 @@ Potential use-cases:
Examples: `datasette-saved-queries <https://datasette.io/plugins/datasette-saved-queries>`__, `datasette-init <https://datasette.io/plugins/datasette-init>`__
.. _plugin_hook_canned_queries:
canned_queries(datasette, database, actor)
------------------------------------------
``datasette`` - :ref:`internals_datasette`
You can use this to access plugin configuration options via ``datasette.plugin_config(your_plugin_name)``, or to execute SQL queries.
``database`` - string
The name of the database.
``actor`` - dictionary or None
The currently authenticated :ref:`actor <authentication_actor>`.
Use this hook to return a dictionary of additional :ref:`canned query <canned_queries>` definitions for the specified database. The return value should be the same shape as the JSON described in the :ref:`canned query <canned_queries>` documentation.
.. code-block:: python
from datasette import hookimpl
@hookimpl
def canned_queries(datasette, database):
if database == "mydb":
return {
"my_query": {
"sql": "select * from my_table where id > :min_id"
}
}
The hook can alternatively return an awaitable function that returns a list. Here's an example that returns queries that have been stored in the ``saved_queries`` database table, if one exists:
.. code-block:: python
from datasette import hookimpl
@hookimpl
def canned_queries(datasette, database):
async def inner():
db = datasette.get_database(database)
if await db.table_exists("saved_queries"):
results = await db.execute(
"select name, sql from saved_queries"
)
return {
result["name"]: {"sql": result["sql"]}
for result in results
}
return inner
The actor parameter can be used to include the currently authenticated actor in your decision. Here's an example that returns saved queries that were saved by that actor:
.. code-block:: python
from datasette import hookimpl
@hookimpl
def canned_queries(datasette, database, actor):
async def inner():
db = datasette.get_database(database)
if actor is not None and await db.table_exists(
"saved_queries"
):
results = await db.execute(
"select name, sql from saved_queries where actor_id = :id",
{"id": actor["id"]},
)
return {
result["name"]: {"sql": result["sql"]}
for result in results
}
return inner
Example: `datasette-saved-queries <https://datasette.io/plugins/datasette-saved-queries>`__
.. _plugin_hook_actor_from_request:
actor_from_request(datasette, request)
@ -1625,7 +1599,7 @@ register_magic_parameters(datasette)
``datasette`` - :ref:`internals_datasette`
You can use this to access plugin configuration options via ``datasette.plugin_config(your_plugin_name)``.
:ref:`queries_magic_parameters` can be used to add automatic parameters to :ref:`configured queries <queries>`. This plugin hook allows additional magic parameters to be defined by plugins.
:ref:`canned_queries_magic_parameters` can be used to add automatic parameters to :ref:`canned queries <canned_queries>`. This plugin hook allows additional magic parameters to be defined by plugins.
Magic parameters all take this format: ``_prefix_rest_of_parameter``. The prefix indicates which magic parameter function should be called - the rest of the parameter is passed as an argument to that function.
@ -1758,6 +1732,31 @@ This example logs an error to `Sentry <https://sentry.io/>`__ and then renders a
Example: `datasette-sentry <https://datasette.io/plugins/datasette-sentry>`_
.. _plugin_hook_skip_csrf:
skip_csrf(datasette, scope)
---------------------------
``datasette`` - :ref:`internals_datasette`
You can use this to access plugin configuration options via ``datasette.plugin_config(your_plugin_name)``, or to execute SQL queries.
``scope`` - dictionary
The `ASGI scope <https://asgi.readthedocs.io/en/latest/specs/www.html#http-connection-scope>`__ for the incoming HTTP request.
This hook can be used to skip :ref:`internals_csrf` for a specific incoming request. For example, you might have a custom path at ``/submit-comment`` which is designed to accept comments from anywhere, whether or not the incoming request originated on the site and has an accompanying CSRF token.
This example will disable CSRF protection for that specific URL path:
.. code-block:: python
from datasette import hookimpl
@hookimpl
def skip_csrf(scope):
return scope["path"] == "/submit-comment"
If any of the currently active ``skip_csrf()`` plugin hooks return ``True``, CSRF protection will be skipped for the request.
.. _plugin_hook_menu_links:
@ -1802,106 +1801,6 @@ Using :ref:`internals_datasette_urls` here ensures that links in the menu will t
Examples: `datasette-search-all <https://datasette.io/plugins/datasette-search-all>`_, `datasette-graphql <https://datasette.io/plugins/datasette-graphql>`_
.. _plugin_hook_jump_items_sql:
jump_items_sql(datasette, actor, request)
-----------------------------------------
``datasette`` - :ref:`internals_datasette`
You can use this to access plugin configuration options via ``datasette.plugin_config(your_plugin_name)``, or to execute SQL queries.
``actor`` - dictionary or None
The currently authenticated :ref:`actor <authentication_actor>`.
``request`` - :ref:`internals_request`
The current HTTP request.
This hook allows plugins to add extra results to Datasette's ``/`` jump menu, which is powered by the ``/-/jump`` JSON endpoint.
Return a ``datasette.jump.JumpSQL`` object, or a list of ``JumpSQL`` objects. Each ``JumpSQL`` object wraps a SQL query to be searched alongside Datasette's own databases, tables, views and stored query results. The hook can also be an ``async def`` function, or return an awaitable that resolves to one of these values.
``JumpSQL`` queries run against Datasette's internal database by default. To run a query against another database, pass its name as the optional ``database=`` argument. For example, ``JumpSQL(database="content", sql="...")`` runs against the ``content`` database.
Datasette groups ``JumpSQL`` queries by database and executes one ``UNION ALL`` query for each database.
The SQL query must return these columns:
``type``
A short type string for the result, for example ``"app"`` or ``"dashboard"``. The jump menu displays this above the item as a category label.
``label``
The stable name for the result. This is returned as ``name`` in the JSON API and is used for sorting.
``description``
Optional longer text describing this individual item, or ``NULL``. The jump menu displays this below the item's URL when it is present.
``url``
The URL to navigate to when the item is selected. This can be either a string starting with ``/`` or a JSON object describing a call to one of the :ref:`internals_datasette_urls` methods. For example, ``json_object('method', 'table', 'database', 'fixtures', 'table', 'facetable')`` calls ``datasette.urls.table(database='fixtures', table='facetable')``. Unknown methods or invalid named arguments will result in an error.
``search_text``
Text that should be searched by the ``?q=`` parameter.
``display_name``
A human-readable label for the result, or ``NULL``. Datasette returns this as ``display_name`` in the JSON API, and the jump menu shows it as the primary readable label with ``name`` shown underneath.
Use ``params=`` to pass SQL parameters. Datasette will automatically namespace those parameters before adding the SQL fragment to the per-database ``UNION ALL`` query.
This example returns a SQL fragment that searches rows from a ``dashboards`` table in the ``content`` database. The ``url`` column uses ``json_object()`` to describe a call to ``datasette.urls.row(database='content', table='dashboards', row_path=slug)``:
.. code-block:: python
from datasette import hookimpl
from datasette.jump import JumpSQL
@hookimpl
def jump_items_sql(datasette, actor, request):
if not actor:
return None
return JumpSQL(
sql="""
SELECT
'dashboard' AS type,
slug AS label,
description,
json_object(
'method', 'row',
'database', 'content',
'table', 'dashboards',
'row_path', slug
) AS url,
slug || ' ' || COALESCE(title, '') || ' ' || COALESCE(description, '') AS search_text,
title AS display_name
FROM dashboards
WHERE owner_id = :actor_id
""",
params={"actor_id": actor["id"]},
database="content",
)
This example uses the ``JumpSQL.menu_item()`` shortcut to add a single "Plugin dashboard" result for signed-in users:
.. code-block:: python
from datasette import hookimpl
from datasette.jump import JumpSQL
@hookimpl
def jump_items_sql(datasette, actor, request):
if not actor:
return None
return JumpSQL.menu_item(
item_type="dashboard",
label="plugin-dashboard",
description="Review plugin status and configuration.",
url="/-/plugin-dashboard",
search_text="plugin dashboard",
display_name="Plugin dashboard",
)
``JumpSQL.menu_item(...)`` is a shortcut for adding a single jump menu item from Python code. It accepts the keyword arguments shown above.
.. _plugin_actions:
Action hooks
@ -1994,7 +1893,7 @@ query_actions(datasette, actor, database, query_name, request, sql, params)
The name of the database.
``query_name`` - string or None
The name of the stored query, or ``None`` if this is an arbitrary SQL query.
The name of the canned query, or ``None`` if this is an arbitrary SQL query.
``request`` - :ref:`internals_request`
The current HTTP request.
@ -2005,7 +1904,7 @@ query_actions(datasette, actor, database, query_name, request, sql, params)
``params`` - dictionary
The parameters passed to the SQL query, if any.
Populates a "Query actions" menu on the stored query and arbitrary SQL query pages.
Populates a "Query actions" menu on the canned query and arbitrary SQL query pages.
This example adds a new query action linking to a page for explaining a query:
@ -2269,9 +2168,9 @@ top_query(datasette, request, database, sql)
Returns HTML to be displayed at the top of the query results page.
.. _plugin_hook_top_stored_query:
.. _plugin_hook_top_canned_query:
top_stored_query(datasette, request, database, query_name)
top_canned_query(datasette, request, database, query_name)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
``datasette`` - :ref:`internals_datasette`
@ -2284,9 +2183,9 @@ top_stored_query(datasette, request, database, query_name)
The name of the database.
``query_name`` - string
The name of the stored query.
The name of the canned query.
Returns HTML to be displayed at the top of the stored query page.
Returns HTML to be displayed at the top of the canned query page.
.. _plugin_event_tracking:
@ -2435,61 +2334,3 @@ The plugin can then call ``datasette.track_event(...)`` to send a ``ban-user`` e
BanUserEvent(user={"id": 1, "username": "cleverbot"})
)
.. _plugin_hook_register_token_handler:
register_token_handler(datasette)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
``datasette`` - :ref:`internals_datasette`
You can use this to access plugin configuration options via ``datasette.plugin_config(your_plugin_name)``.
Return a ``TokenHandler`` instance to provide a custom token creation and verification backend. This hook can return a single ``TokenHandler`` or a list of them.
The default ``SignedTokenHandler`` uses itsdangerous signed tokens (``dstok_`` prefix). Plugins can provide alternative backends such as database-backed tokens that support revocation and auditing.
.. code-block:: python
from datasette import hookimpl, TokenHandler
class DatabaseTokenHandler(TokenHandler):
name = "database"
async def create_token(
self,
datasette,
actor_id,
*,
expires_after=None,
restrictions=None
):
# Store token in database and return token string
...
async def verify_token(self, datasette, token):
# Look up token in database, return actor dict or None
...
@hookimpl
def register_token_handler(datasette):
return DatabaseTokenHandler()
The ``create_token`` method receives a ``restrictions`` argument which will be a :ref:`TokenRestrictions <TokenRestrictions>` instance or ``None``.
Tokens can then be created and verified using :ref:`datasette.create_token() <datasette_create_token>` and ``datasette.verify_token()``, which delegate to the registered handlers. If no ``handler`` is specified, the first handler is used according to `pluggy call-time ordering <https://pluggy.readthedocs.io/en/stable/#call-time-order>`_. Use the ``handler`` parameter to select a specific backend by name:
.. code-block:: python
# Uses first registered handler (default)
token = await datasette.create_token("user123")
# Uses a specific handler by name
token = await datasette.create_token(
"user123", handler="database"
)
# Verification tries all handlers
actor = await datasette.verify_token(token)
If no handlers are registered, ``create_token()`` raises ``RuntimeError``. If the requested ``handler`` name is not found, it raises ``ValueError``.

View file

@ -207,42 +207,6 @@ If you run ``datasette plugins --all`` it will include default plugins that ship
"register_actions"
]
},
{
"name": "datasette.default_column_types",
"static": false,
"templates": false,
"version": null,
"hooks": [
"register_column_types"
]
},
{
"name": "datasette.default_database_actions",
"static": false,
"templates": false,
"version": null,
"hooks": [
"database_actions"
]
},
{
"name": "datasette.default_debug_menu",
"static": false,
"templates": false,
"version": null,
"hooks": [
"jump_items_sql"
]
},
{
"name": "datasette.default_jump_items",
"static": false,
"templates": false,
"version": null,
"hooks": [
"jump_items_sql"
]
},
{
"name": "datasette.default_magic_parameters",
"static": false,
@ -252,23 +216,25 @@ If you run ``datasette plugins --all`` it will include default plugins that ship
"register_magic_parameters"
]
},
{
"name": "datasette.default_menu_links",
"static": false,
"templates": false,
"version": null,
"hooks": [
"menu_links"
]
},
{
"name": "datasette.default_permissions",
"static": false,
"templates": false,
"version": null,
"hooks": [
"permission_resources_sql"
]
},
{
"name": "datasette.default_permissions.tokens",
"static": false,
"templates": false,
"version": null,
"hooks": [
"actor_from_request",
"register_token_handler"
"canned_queries",
"permission_resources_sql",
"skip_csrf"
]
},
{
@ -277,8 +243,7 @@ If you run ``datasette plugins --all`` it will include default plugins that ship
"templates": false,
"version": null,
"hooks": [
"register_events",
"write_wrapper"
"register_events"
]
},
{

View file

@ -30,7 +30,7 @@ Warning
The following steps are recommended:
- Disable arbitrary SQL queries by untrusted users. See :ref:`authentication_permissions_execute_sql` for ways to do this. The easiest is to start Datasette with the ``datasette --setting default_allow_sql off`` option.
- Define :ref:`queries <queries>` with the SQL queries that use SpatiaLite functions that you want people to be able to execute.
- Define :ref:`canned_queries` with the SQL queries that use SpatiaLite functions that you want people to be able to execute.
The `Datasette SpatiaLite tutorial <https://datasette.io/tutorials/spatialite>`__ includes detailed instructions for running SpatiaLite safely using these techniques

View file

@ -66,12 +66,12 @@ You can also use the `sqlite-utils <https://sqlite-utils.datasette.io/>`__ tool
sqlite-utils create-view sf-trees.db demo_view "select qSpecies from Street_Tree_List"
.. _queries:
.. _canned_queries:
Queries
-------
Canned queries
--------------
As an alternative to adding views to your database, you can define named queries inside your ``datasette.yaml`` file. Here's an example:
As an alternative to adding views to your database, you can define canned queries inside your ``datasette.yaml`` file. Here's an example:
.. [[[cog
from metadata_doc import config_example, config_example
@ -120,67 +120,24 @@ Then run Datasette like this::
datasette sf-trees.db -m metadata.json
Each configured query will be listed on the database index page, and will also get its own URL at::
Each canned query will be listed on the database index page, and will also get its own URL at::
/database-name/query-name
/database-name/canned-query-name
For the above example, that URL would be::
/sf-trees/just_species
You can optionally include ``"title"`` and ``"description"`` keys to show a title and description on the query page. As with regular table metadata you can alternatively specify ``"description_html"`` to have your description rendered as HTML (rather than having HTML special characters escaped).
You can optionally include ``"title"`` and ``"description"`` keys to show a title and description on the canned query page. As with regular table metadata you can alternatively specify ``"description_html"`` to have your description rendered as HTML (rather than having HTML special characters escaped).
.. _stored_queries:
.. _saved_queries:
.. _canned_queries_named_parameters:
Stored queries
~~~~~~~~~~~~~~
Canned query parameters
~~~~~~~~~~~~~~~~~~~~~~~
Datasette stores both configured queries and user-created queries in the ``queries`` table in the :ref:`internal database <internals_internal>`. Configured queries come from the ``queries`` section of ``datasette.yaml``. User-created stored queries can be created from the SQL query page by actors with the :ref:`actions_store_query` and :ref:`actions_execute_sql` permissions. Writable stored queries also require the permissions needed for the writes they perform.
Canned queries support named parameters, so if you include those in the SQL you will then be able to enter them using the form fields on the canned query page or by adding them to the URL. This means canned queries can be used to create custom JSON APIs based on a carefully designed SQL statement.
Stored queries created by users default to private. Private stored queries can only be viewed, updated or deleted by the actor that created them. Broad ``view-query``, ``update-query`` or ``delete-query`` permission grants still do not allow other actors to access another actor's private stored queries.
Stored queries created by users are untrusted. This means they execute using the permissions of the actor who runs them, as if that actor had pasted the SQL into the regular custom SQL interface or write SQL interface. Read-only stored queries require ``execute-sql``. Writable stored queries require ``execute-write-sql`` plus the relevant table-level write permissions.
.. _trusted_stored_queries:
.. _trusted_saved_queries:
Trusted stored queries
++++++++++++++++++++++
A trusted stored query can execute with ``view-query`` permission alone. It skips the additional ``execute-sql`` and write permission checks that are applied to untrusted stored queries.
Trusted stored queries should only be used for SQL that has been reviewed by someone trusted to configure the Datasette instance. For that reason, trusted stored queries can only be added using configuration. Users cannot create trusted stored queries through the web interface or the stored query JSON API.
Queries defined in ``datasette.yaml`` are trusted by default:
.. code-block:: yaml
databases:
mydatabase:
queries:
report:
sql: select * from report
You can opt out of this behavior for a configured query using ``is_trusted: false``:
.. code-block:: yaml
databases:
mydatabase:
queries:
report:
sql: select * from report
is_trusted: false
.. _queries_named_parameters:
Query parameters
~~~~~~~~~~~~~~~~
Configured queries support named parameters, so if you include those in the SQL you will then be able to enter them using the form fields on the query page or by adding them to the URL. This means configured queries can be used to create custom JSON APIs based on a carefully designed SQL statement.
Here's an example of a configured query with a named parameter:
Here's an example of a canned query with a named parameter:
.. code-block:: sql
@ -190,7 +147,7 @@ Here's an example of a configured query with a named parameter:
where neighborhood like '%' || :text || '%'
order by neighborhood;
The query configuration looks like this:
In the canned query configuration looks like this:
.. [[[cog
@ -247,7 +204,7 @@ The query configuration looks like this:
Note that we are using SQLite string concatenation here - the ``||`` operator - to add wildcard ``%`` characters to the string provided by the user.
You can try this query out here:
You can try this canned query out here:
https://latest.datasette.io/fixtures/neighborhood_search?text=town
In this example the ``:text`` named parameter is automatically extracted from the query using a regular expression.
@ -313,17 +270,17 @@ You can alternatively provide an explicit list of named parameters using the ``"
}
.. [[[end]]]
.. _queries_options:
.. _canned_queries_options:
Additional query options
~~~~~~~~~~~~~~~~~~~~~~~~
Additional canned query options
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Additional options can be specified for configured queries in the YAML or JSON configuration.
Additional options can be specified for canned queries in the YAML or JSON configuration.
hide_sql
++++++++
Configured queries default to displaying their SQL query at the top of the page. If the query is extremely long you may want to hide it by default, with a "show" link that can be used to make it visible.
Canned queries default to displaying their SQL query at the top of the page. If the query is extremely long you may want to hide it by default, with a "show" link that can be used to make it visible.
Add the ``"hide_sql": true`` option to hide the SQL query by default.
@ -332,7 +289,7 @@ fragment
Some plugins, such as `datasette-vega <https://github.com/simonw/datasette-vega>`__, can be configured by including additional data in the fragment hash of the URL - the bit that comes after a ``#`` symbol.
You can set a default fragment hash that will be included in the link to the query from the database index page using the ``"fragment"`` key.
You can set a default fragment hash that will be included in the link to the canned query from the database index page using the ``"fragment"`` key.
This example demonstrates both ``fragment`` and ``hide_sql``:
@ -389,14 +346,14 @@ This example demonstrates both ``fragment`` and ``hide_sql``:
`See here <https://latest.datasette.io/fixtures#queries>`__ for a demo of this in action.
.. _queries_writable:
.. _canned_queries_writable:
Writable queries
~~~~~~~~~~~~~~~~
Writable canned queries
~~~~~~~~~~~~~~~~~~~~~~~
Configured queries are read-only by default. You can use the ``"write": true`` key to indicate that a query can write to the database.
Canned queries by default are read-only. You can use the ``"write": true`` key to indicate that a canned query can write to the database.
See :ref:`authentication_permissions_query` for details on how to add permission checks to queries, using the ``"allow"`` key.
See :ref:`authentication_permissions_query` for details on how to add permission checks to canned queries, using the ``"allow"`` key.
.. [[[cog
config_example(cog, {
@ -524,14 +481,14 @@ You can pre-populate form fields when the page first loads using a query string,
If you specify a query in ``"on_success_message_sql"``, that query will be executed after the main query. The first column of the first row return by that query will be displayed as a success message. Named parameters from the main query will be made available to the success message query as well.
.. _queries_magic_parameters:
.. _canned_queries_magic_parameters:
Magic parameters
~~~~~~~~~~~~~~~~
Named parameters that start with an underscore are special: they can be used to automatically add values created by Datasette that are not contained in the incoming form fields or query string.
These magic parameters are only supported for configured queries: to avoid security issues (such as queries that extract the user's private cookies) they are not available to SQL that is executed by the user as a custom SQL query.
These magic parameters are only supported for canned queries: to avoid security issues (such as queries that extract the user's private cookies) they are not available to SQL that is executed by the user as a custom SQL query.
Available magic parameters are:
@ -621,14 +578,14 @@ The form presented at ``/mydatabase/add_message`` will have just a field for ``m
Additional custom magic parameters can be added by plugins using the :ref:`plugin_hook_register_magic_parameters` hook.
.. _queries_json_api:
.. _canned_queries_json_api:
JSON API for writable queries
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
JSON API for writable canned queries
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Writable queries can also be accessed using a JSON API. You can POST data to them using JSON, and you can request that their response is returned to you as JSON.
Writable canned queries can also be accessed using a JSON API. You can POST data to them using JSON, and you can request that their response is returned to you as JSON.
To submit JSON to a writable query, encode key/value parameters as a JSON document::
To submit JSON to a writable canned query, encode key/value parameters as a JSON document::
POST /mydatabase/add_message

View file

@ -82,73 +82,6 @@ This method registers any :ref:`plugin_hook_startup` or :ref:`plugin_hook_prepar
If you are using ``await datasette.client.get()`` and similar methods then you don't need to worry about this - Datasette automatically calls ``invoke_startup()`` the first time it handles a request.
.. _testing_plugins_datasette_fixtures_database:
Using Datasette's fixtures database
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Datasette's own test suite uses a SQLite database with tables that exercise features such as compound primary keys, foreign keys, sortable columns, facets, full-text search and binary data.
You can use those same tables in your plugin tests using the ``populate_fixture_database(conn)`` helper in ``datasette.fixtures``:
Be aware that future Datasette releases may change details of these tables, so try not to rely on their exact structure in your own tests.
.. _datasette_fixtures_populate_fixture_database:
``populate_fixture_database(conn)``
Populates an existing SQLite connection with the fixture tables.
For an in-memory test database:
.. code-block:: python
from datasette.app import Datasette
from datasette.fixtures import populate_fixture_database
import pytest
import pytest_asyncio
@pytest_asyncio.fixture
async def datasette():
datasette = Datasette()
db = datasette.add_memory_database("fixtures")
await db.execute_write_fn(populate_fixture_database)
await datasette.invoke_startup()
return datasette
@pytest.mark.asyncio
async def test_facetable(datasette):
response = await datasette.client.get(
"/fixtures/facetable.json?_shape=array"
)
assert response.status_code == 200
.. _testing_plugins_autoclose:
Automatic cleanup of Datasette instances
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Installing Datasette also installs a small pytest plugin that automatically calls :ref:`datasette_close` on any ``Datasette()`` instance constructed during a test. This helps prevent large test suites from running out of file descriptors or leaking background threads from the hundreds of instances they may build up across a session.
The plugin closes:
- Instances created in the body of a test function.
- Instances created inside **function-scoped** pytest fixtures (the default scope — ``@pytest.fixture`` with no ``scope=`` argument, or ``scope="function"``).
The plugin deliberately does **not** close:
- Instances created inside higher-scoped fixtures (``scope="session"``, ``"module"``, ``"class"`` or ``"package"``). Those fixtures are typically designed to produce a single ``Datasette`` that is shared across many tests, and closing it automatically would break the tests that run after the first.
In practice this means downstream projects rarely need to call ``ds.close()`` themselves — function-scoped fixtures and inline test code are both covered automatically, while long-lived shared fixtures keep working as before.
If you need to opt out of this behavior, add the following to your ``pytest.ini`` (or equivalent):
.. code-block:: ini
[pytest]
datasette_autoclose = false
.. _testing_datasette_client:
Using datasette.client in tests
@ -302,8 +235,9 @@ As an example, here's a very simple plugin which executes an HTTP response and r
if request.method == "GET":
return Response.html("""
<form action="/-/fetch-url" method="post">
<input type="hidden" name="csrftoken" value="{}">
<input name="url"><input type="submit">
</form>""")
</form>""".format(request.scope["csrftoken"]()))
vars = await request.post_vars()
url = vars["url"]
return Response.text(httpx.get(url).text)

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