Merge remote-tracking branch 'origin/main' into claude/json-api-docs-1-0-review-a3e83u

# Conflicts:
#	datasette/__init__.py
#	tests/test_api_write.py
This commit is contained in:
Claude 2026-07-06 22:25:27 +00:00
commit 194ee95ae2
No known key found for this signature in database
37 changed files with 4888 additions and 179 deletions

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@ -1,4 +1,5 @@
import asyncio
import binascii
from contextlib import contextmanager
import aiofiles
import click
@ -236,10 +237,8 @@ class CustomJSONEncoder(json.JSONEncoder):
- ``sqlite3.Row`` becomes a tuple
- ``sqlite3.Cursor`` becomes a list
If a binary blob can be decoded as UTF-8, the encoder returns it as text.
If it can't (for example, images), it is encoded as an object, with the actual
data base64-encoded, like so: ::
Binary blobs are encoded as an object, with the actual data base64-encoded,
like so: ::
{
"$base64": True,
@ -255,17 +254,42 @@ class CustomJSONEncoder(json.JSONEncoder):
if isinstance(obj, sqlite3.Cursor):
return list(obj)
if isinstance(obj, bytes):
# Does it encode to utf8?
try:
return obj.decode("utf8")
except UnicodeDecodeError:
return {
"$base64": True,
"encoded": base64.b64encode(obj).decode("latin1"),
}
return {
"$base64": True,
"encoded": base64.b64encode(obj).decode("latin1"),
}
return json.JSONEncoder.default(self, obj)
class WriteJsonValueError(ValueError):
pass
def decode_write_json_cell(value):
if not isinstance(value, dict):
return value
keys = set(value.keys())
if keys == {"$raw"}:
return value["$raw"]
if keys == {"$base64", "encoded"} and value.get("$base64") is True:
encoded = value["encoded"]
if not isinstance(encoded, str):
raise WriteJsonValueError("$base64 encoded value must be a string")
try:
return base64.b64decode(encoded, validate=True)
except binascii.Error as ex:
raise WriteJsonValueError("Invalid $base64 encoded value") from ex
return value
def decode_write_json_row(row):
return {key: decode_write_json_cell(value) for key, value in row.items()}
def decode_write_json_rows(rows):
return [decode_write_json_row(row) for row in rows]
@contextmanager
def sqlite_timelimit(conn, ms):
deadline = time.perf_counter() + (ms / 1000)

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@ -67,13 +67,25 @@ class BadRequest(Base400):
status = 400
class PayloadTooLarge(Base400):
status = 413
SAMESITE_VALUES = ("strict", "lax", "none")
# Bodies read fully into memory (post_body/post_vars/json) are capped at this
# size unless the max_post_body_bytes setting says otherwise. Kept deliberately
# far below multipart's DEFAULT_MAX_REQUEST_SIZE: that parser streams to disk,
# while these bodies are held in RAM and json.loads() can multiply their
# footprint several times over.
DEFAULT_MAX_POST_BODY_BYTES = 2 * 1024 * 1024 # 2MB
class Request:
def __init__(self, scope, receive):
def __init__(self, scope, receive, max_post_body_bytes=DEFAULT_MAX_POST_BODY_BYTES):
self.scope = scope
self.receive = receive
self.max_post_body_bytes = max_post_body_bytes
def __repr__(self):
return '<asgi.Request method="{}" url="{}">'.format(self.method, self.url)
@ -141,15 +153,43 @@ class Request:
def actor(self):
return self.scope.get("actor", None)
async def post_body(self):
body = b""
async def post_body(self, max_bytes=None):
"""
Read the request body fully into memory.
The body is capped at max_bytes - or self.max_post_body_bytes
(default 2MB, set from the max_post_body_bytes setting for requests
created by Datasette) if max_bytes is not provided. Pass max_bytes=0
to disable the limit. Raises PayloadTooLarge (HTTP 413) if exceeded -
oversized bodies are rejected as soon as the limit is passed, without
buffering the rest.
"""
if max_bytes is None:
max_bytes = self.max_post_body_bytes
too_large = PayloadTooLarge(
"Request body exceeded maximum size of {} bytes".format(max_bytes)
)
if max_bytes:
# Reject early if the client declares an oversized body
try:
if int(self.headers.get("content-length", "")) > max_bytes:
raise too_large
except ValueError:
# Missing or malformed - the streaming check below still applies
pass
chunks = []
received = 0
more_body = True
while more_body:
message = await self.receive()
assert message["type"] == "http.request", message
body += message.get("body", b"")
chunk = message.get("body", b"")
received += len(chunk)
if max_bytes and received > max_bytes:
raise too_large
chunks.append(chunk)
more_body = message.get("more_body", False)
return body
return b"".join(chunks)
async def post_vars(self):
body = await self.post_body()

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@ -488,17 +488,17 @@ def analyze_sql_tables(
and key.operation in {"create", "alter", "drop"}
for key in operations
)
dropped_tables = {
dropped_tables_and_views = {
(key.database, key.table)
for key in operations
if key.operation == "drop" and key.target_type == "table"
if key.operation == "drop" and key.target_type in {"table", "view"}
}
def key_is_drop_table_delete(key: OperationKey) -> bool:
return (
key.operation == "delete"
and key.target_type == "table"
and (key.database, key.table) in dropped_tables
and (key.database, key.table) in dropped_tables_and_views
)
has_user_table_access_in_schema_operation = any(