Test against Python 3.15-dev, bump ty and Black (#738)

* Add Python 3.15-dev to test matrix
* Run ty check only on 3.14
* Bump Black version
* Update tabulate and use that in 
* Bump to latest ty
This commit is contained in:
Simon Willison 2026-05-17 16:52:48 -07:00 committed by GitHub
commit 8f0c06e188
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17 changed files with 175 additions and 216 deletions

View file

@ -1,7 +1,7 @@
import base64
from typing import Any
import click
from click_default_group import DefaultGroup # type: ignore
from click_default_group import DefaultGroup
from datetime import datetime, timezone
import hashlib
import pathlib
@ -42,7 +42,6 @@ from .utils import (
TypeTracker,
)
CONTEXT_SETTINGS = dict(help_option_names=["-h", "--help"])
@ -223,7 +222,7 @@ def tables(
else:
items = db.table_names(fts4=fts4, fts5=fts5)
for name in items:
row = [name]
row: list[Any] = [name]
if counts:
row.append(method(name).count)
if columns:
@ -2122,8 +2121,9 @@ def _execute_query(
cursor = [[cursor.rowcount]]
else:
headers = [c[0] for c in cursor.description]
cursor_or_rows: Any = cursor
if raw:
row = cursor.fetchone() # type: ignore[union-attr]
row = cursor_or_rows.fetchone()
data = row[0] if row else None
if isinstance(data, bytes):
sys.stdout.buffer.write(data)
@ -2911,8 +2911,7 @@ def _analyze(db, tables, columns, save, common_limit=10, no_most=False, no_least
)
details = (
(
textwrap.dedent(
"""
textwrap.dedent("""
{table}.{column}: ({i}/{total})
Total rows: {total_rows}
@ -2920,8 +2919,7 @@ def _analyze(db, tables, columns, save, common_limit=10, no_most=False, no_least
Blank rows: {num_blank}
Distinct values: {num_distinct}{most_common_rendered}{least_common_rendered}
"""
)
""")
.strip()
.format(
i=i + 1,
@ -2968,8 +2966,7 @@ def uninstall(packages, yes):
def _generate_convert_help():
help = textwrap.dedent(
"""
help = textwrap.dedent("""
Convert columns using Python code you supply. For example:
\b
@ -2982,8 +2979,7 @@ def _generate_convert_help():
Use "-" for CODE to read Python code from standard input.
The following common operations are available as recipe functions:
"""
).strip()
""").strip()
recipe_names = [
n
for n in dir(recipes)
@ -2997,15 +2993,13 @@ def _generate_convert_help():
name, str(inspect.signature(fn)), textwrap.dedent(fn.__doc__.rstrip())
)
help += "\n\n"
help += textwrap.dedent(
"""
help += textwrap.dedent("""
You can use these recipes like so:
\b
sqlite-utils convert my.db mytable mycolumn \\
'r.jsonsplit(value, delimiter=":")'
"""
).strip()
""").strip()
return help

View file

@ -15,6 +15,7 @@ from collections.abc import Mapping
import contextlib
import datetime
import decimal
import importlib
import inspect
import itertools
import json
@ -22,7 +23,7 @@ import os
import pathlib
import re
import secrets
from sqlite_fts4 import rank_bm25 # type: ignore
from sqlite_fts4 import rank_bm25
import textwrap
from typing import (
cast,
@ -43,7 +44,7 @@ import uuid
from sqlite_utils.plugins import pm
try:
from sqlite_dump import iterdump # type: ignore[import-not-found]
iterdump = importlib.import_module("sqlite_dump").iterdump
except ImportError:
iterdump = None
@ -82,15 +83,17 @@ def quote_identifier(identifier: str) -> str:
return '"{}"'.format(identifier.replace('"', '""'))
pd: Any = None
try:
import pandas as pd # type: ignore
pd = importlib.import_module("pandas")
except ImportError:
pd = None # type: ignore
pd = None
np: Any = None
try:
import numpy as np # type: ignore
np = importlib.import_module("numpy")
except ImportError:
np = None # type: ignore
np = None
Column = namedtuple(
"Column", ("cid", "name", "type", "notnull", "default_value", "is_pk")
@ -190,7 +193,10 @@ class Default:
DEFAULT = Default()
COLUMN_TYPE_MAPPING = {
Tracer = Callable[[str, Optional[Union[Sequence[Any], Dict[str, Any]]]], None]
COLUMN_TYPE_MAPPING: Dict[Any, str] = {
float: "REAL",
int: "INTEGER",
bool: "INTEGER",
@ -339,7 +345,7 @@ class Database:
memory_name: Optional[str] = None,
recreate: bool = False,
recursive_triggers: bool = True,
tracer: Optional[Callable] = None,
tracer: Optional[Tracer] = None,
use_counts_table: bool = False,
execute_plugins: bool = True,
use_old_upsert: bool = False,
@ -375,8 +381,8 @@ class Database:
self.conn = sqlite3.connect(str(filename_or_conn))
else:
assert not recreate, "recreate cannot be used with connections, only paths"
self.conn = filename_or_conn
self._tracer = tracer
self.conn = cast(sqlite3.Connection, filename_or_conn)
self._tracer: Optional[Tracer] = tracer
if recursive_triggers:
self.execute("PRAGMA recursive_triggers=on;")
self._registered_functions: set = set()
@ -421,7 +427,7 @@ class Database:
@contextlib.contextmanager
def tracer(
self, tracer: Optional[Callable[[str, Optional[Sequence]], None]] = None
self, tracer: Optional[Tracer] = None
) -> Generator["Database", None, None]:
"""
Context manager to temporarily set a tracer function - all executed SQL queries will
@ -439,7 +445,7 @@ class Database:
:param tracer: Callable accepting ``sql`` and ``parameters`` arguments
"""
prev_tracer = self._tracer
self._tracer = tracer or print
self._tracer = tracer or cast(Tracer, print)
try:
yield self
finally:
@ -2275,12 +2281,10 @@ class Table(Queryable):
"{}_{}".format(index_name, suffix) if suffix else index_name
)
sql = (
textwrap.dedent(
"""
textwrap.dedent("""
CREATE {unique}INDEX {if_not_exists}{index_name}
ON {table_name} ({columns});
"""
)
""")
.strip()
.format(
index_name=quote_identifier(created_index_name),
@ -2475,8 +2479,7 @@ class Table(Queryable):
See :ref:`python_api_cached_table_counts` for details.
"""
sql = (
textwrap.dedent(
"""
textwrap.dedent("""
{create_counts_table}
CREATE TRIGGER IF NOT EXISTS {trigger_insert} AFTER INSERT ON {table}
BEGIN
@ -2501,8 +2504,7 @@ class Table(Queryable):
);
END;
INSERT OR REPLACE INTO _counts VALUES ({table_quoted}, (select count(*) from {table}));
"""
)
""")
.strip()
.format(
create_counts_table=_COUNTS_TABLE_CREATE_SQL.format(
@ -2554,14 +2556,12 @@ class Table(Queryable):
:param replace: Should any existing FTS index for this table be replaced by the new one?
"""
create_fts_sql = (
textwrap.dedent(
"""
textwrap.dedent("""
CREATE VIRTUAL TABLE {table_fts} USING {fts_version} (
{columns},{tokenize}
content={table}
)
"""
)
""")
.strip()
.format(
table=quote_identifier(self.name),
@ -2599,8 +2599,7 @@ class Table(Queryable):
table = quote_identifier(self.name)
table_fts = quote_identifier(self.name + "_fts")
triggers = (
textwrap.dedent(
"""
textwrap.dedent("""
CREATE TRIGGER {table_ai} AFTER INSERT ON {table} BEGIN
INSERT INTO {table_fts} (rowid, {columns}) VALUES (new.rowid, {new_cols});
END;
@ -2611,8 +2610,7 @@ class Table(Queryable):
INSERT INTO {table_fts} ({table_fts}, rowid, {columns}) VALUES('delete', old.rowid, {old_cols});
INSERT INTO {table_fts} (rowid, {columns}) VALUES (new.rowid, {new_cols});
END;
"""
)
""")
.strip()
.format(
table=table,
@ -2637,12 +2635,10 @@ class Table(Queryable):
"""
columns_quoted = ", ".join(quote_identifier(c) for c in columns)
sql = (
textwrap.dedent(
"""
textwrap.dedent("""
INSERT INTO {table_fts} (rowid, {columns})
SELECT rowid, {columns} FROM {table};
"""
)
""")
.strip()
.format(
table=quote_identifier(self.name),
@ -2659,17 +2655,11 @@ class Table(Queryable):
if fts_table:
self.db[fts_table].drop()
# Now delete the triggers that related to that table
sql = (
textwrap.dedent(
"""
sql = textwrap.dedent("""
SELECT name FROM sqlite_master
WHERE type = 'trigger'
AND (sql LIKE '% INSERT INTO [{}]%' OR sql LIKE '% INSERT INTO "{}"%')
"""
)
.strip()
.format(fts_table, fts_table)
)
""").strip().format(fts_table, fts_table)
trigger_names = []
for row in self.db.execute(sql).fetchall():
trigger_names.append(row[0])
@ -2695,8 +2685,7 @@ class Table(Queryable):
def detect_fts(self) -> Optional[str]:
"Detect if table has a corresponding FTS virtual table and return it"
sql = textwrap.dedent(
"""
sql = textwrap.dedent("""
SELECT name FROM sqlite_master
WHERE rootpage = 0
AND (
@ -2707,8 +2696,7 @@ class Table(Queryable):
AND sql LIKE '%VIRTUAL TABLE%USING FTS%'
)
)
"""
).strip()
""").strip()
args = {
"like": '%VIRTUAL TABLE%USING FTS%content="{}"%'.format(self.name),
"like2": '%VIRTUAL TABLE%USING FTS%content="{}"%'.format(self.name),
@ -2724,13 +2712,9 @@ class Table(Queryable):
"Run the ``optimize`` operation against the associated full-text search index table."
fts_table = self.detect_fts()
if fts_table is not None:
self.db.execute(
"""
self.db.execute("""
INSERT INTO {table} ({table}) VALUES ("optimize");
""".strip().format(
table=quote_identifier(fts_table)
)
)
""".strip().format(table=quote_identifier(fts_table)))
return self
def search_sql(
@ -2768,8 +2752,7 @@ class Table(Queryable):
)
fts_table_quoted = quote_identifier(fts_table)
virtual_table_using = self.db.table(fts_table).virtual_table_using
sql = textwrap.dedent(
"""
sql = textwrap.dedent("""
with {original} as (
select
rowid,
@ -2786,8 +2769,7 @@ class Table(Queryable):
order by
{order_by}
{limit_offset}
"""
).strip()
""").strip()
if virtual_table_using == "FTS5":
rank_implementation = "{}.rank".format(fts_table_quoted)
else:
@ -3517,7 +3499,7 @@ class Table(Queryable):
raise ValueError(
"When using list-based iteration, the first yielded value must be a list of column name strings"
)
column_names = list(first_record)
column_names = cast(List[str], list(first_record))
all_columns = column_names
num_columns = len(column_names)
# Get the actual first data record
@ -3559,7 +3541,8 @@ class Table(Queryable):
chunk_as_dicts = [dict(zip(column_names, row)) for row in chunk]
column_types = suggest_column_types(chunk_as_dicts)
else:
column_types = suggest_column_types(chunk) # type: ignore[arg-type]
dict_chunk = cast(List[Dict[str, Any]], chunk)
column_types = suggest_column_types(dict_chunk)
if extracts:
for col in extracts:
if col in column_types:
@ -3586,14 +3569,14 @@ class Table(Queryable):
all_columns.insert(0, hash_id)
else:
all_columns_set: Set[str] = set()
for record in chunk:
all_columns_set.update(record.keys()) # type: ignore[union-attr]
for record in cast(List[Dict[str, Any]], chunk):
all_columns_set.update(record.keys())
all_columns = list(sorted(all_columns_set))
if hash_id:
all_columns.insert(0, hash_id)
else:
if not list_mode:
for record in chunk:
for record in cast(List[Dict[str, Any]], chunk):
all_columns += [
column for column in record if column not in all_columns
]
@ -3791,6 +3774,7 @@ class Table(Queryable):
:param strict: Boolean, apply STRICT mode if creating the table.
"""
assert isinstance(lookup_values, dict)
assert pk is not None
if extra_values is not None:
assert isinstance(extra_values, dict)
combined_values = dict(lookup_values)
@ -3810,7 +3794,7 @@ class Table(Queryable):
)
)
try:
return rows[0][pk] # type: ignore[index]
return rows[0][pk]
except IndexError:
return self.insert(
combined_values,

View file

@ -3,6 +3,7 @@ import contextlib
import csv
import enum
import hashlib
import importlib
import io
import itertools
import json
@ -21,6 +22,7 @@ from typing import (
Set,
Tuple,
Type,
TYPE_CHECKING,
TypeVar,
Union,
cast,
@ -30,22 +32,26 @@ import click
from . import recipes
try:
import pysqlite3 as sqlite3 # type: ignore[import-not-found] # noqa: F401
from pysqlite3 import dbapi2 # type: ignore[import-not-found] # noqa: F401
if TYPE_CHECKING:
import sqlite3 # noqa: F401
from sqlite3 import dbapi2 # noqa: F401
OperationalError = dbapi2.OperationalError
except ImportError:
else:
try:
import sqlean as sqlite3 # type: ignore[import-not-found] # noqa: F401
from sqlean import dbapi2 # type: ignore[import-not-found] # noqa: F401
sqlite3 = importlib.import_module("pysqlite3")
dbapi2 = importlib.import_module("pysqlite3.dbapi2")
OperationalError = dbapi2.OperationalError
except ImportError:
import sqlite3 # noqa: F401
from sqlite3 import dbapi2 # noqa: F401
try:
sqlite3 = importlib.import_module("sqlean")
dbapi2 = importlib.import_module("sqlean.dbapi2")
OperationalError = dbapi2.OperationalError
except ImportError:
import sqlite3 # noqa: F401
from sqlite3 import dbapi2 # noqa: F401
OperationalError = dbapi2.OperationalError
OperationalError = dbapi2.OperationalError
SPATIALITE_PATHS = (
@ -60,7 +66,7 @@ SPATIALITE_PATHS = (
ORIGINAL_CSV_FIELD_SIZE_LIMIT = csv.field_size_limit()
# Type alias for row dictionaries - values can be various SQLite-compatible types
RowValue = Union[None, int, float, str, bytes, bool]
RowValue = Union[None, int, float, str, bytes, bool, List[str]]
Row = Dict[str, RowValue]
T = TypeVar("T")
@ -284,7 +290,7 @@ def _extra_key_strategy(
else:
extras_value = row.pop(None)
row_out = cast(Row, row)
row_out[extras_key] = extras_value # type: ignore[assignment]
row_out[extras_key] = cast(RowValue, extras_value)
yield row_out
@ -464,14 +470,14 @@ class ValueTracker:
def test_integer(self, value: object) -> bool:
try:
int(value) # type: ignore
int(cast(Any, value))
return True
except (ValueError, TypeError):
return False
def test_float(self, value: object) -> bool:
try:
float(value) # type: ignore[arg-type]
float(cast(Any, value))
return True
except (ValueError, TypeError):
return False