mirror of
https://github.com/simonw/sqlite-utils.git
synced 2026-07-23 09:24:31 +02:00
More type annotations (#697)
* Add comprehensive type annotations - mypy.ini: expanded configuration with module-specific settings - hookspecs.py: type annotations for hook functions - plugins.py: typed get_plugins() return value - recipes.py: full type annotations for parsedate, parsedatetime, jsonsplit - utils.py: extensive type annotations including Row type alias, TypeTracker, ValueTracker, and all utility functions - db.py: type annotations for Database methods (__exit__, ensure_autocommit_off, tracer, register_function, etc.) and Queryable class methods - tests/test_docs.py: updated to match new signature display format * Fix type errors caught by ty check - Add type: ignore comments for external library type stub limitations (csv.reader, click.progressbar, IOBase.name, Callable.__name__) - Change Iterable to Sequence for SQL where_args parameters - Use db.table() instead of db[name] for proper Table return type - Fix rebuild_fts return type from None to Table - Update test_tracer to expect fewer queries (optimization side effect) * Fix mypy type errors - Add type: ignore comments for runtime-valid patterns mypy can't verify - Fix new_column_types annotation to Dict[str, Set[type]] - Add type: ignore for Default sentinel values passed to create_table * mypy skip tests directory * Fix CI: exclude typing imports from recipe docs, skip mypy on tests - Add Callable and Optional to exclusion list in _generate_convert_help() - Regenerate docs/cli-reference.rst with cog - Add [mypy-tests.*] ignore_errors = True to skip test type errors --------- Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
parent
871038505b
commit
8d74ffc932
10 changed files with 274 additions and 154 deletions
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@ -1051,7 +1051,7 @@ def insert_upsert_implementation(
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csv_reader_args["delimiter"] = delimiter
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if quotechar:
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csv_reader_args["quotechar"] = quotechar
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reader = csv_std.reader(decoded, **csv_reader_args)
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reader = csv_std.reader(decoded, **csv_reader_args) # type: ignore
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first_row = next(reader)
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if no_headers:
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headers = ["untitled_{}".format(i + 1) for i in range(len(first_row))]
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@ -2988,7 +2988,7 @@ def _generate_convert_help():
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n
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for n in dir(recipes)
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if not n.startswith("_")
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and n not in ("json", "parser")
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and n not in ("json", "parser", "Callable", "Optional")
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and callable(getattr(recipes, n))
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]
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for name in recipe_names:
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@ -32,6 +32,8 @@ from typing import (
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Generator,
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Iterable,
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Sequence,
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Set,
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Type,
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Union,
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Optional,
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List,
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@ -287,7 +289,7 @@ class DescIndex(str):
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class BadMultiValues(Exception):
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"With multi=True code must return a Python dictionary"
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def __init__(self, values):
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def __init__(self, values: object) -> None:
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self.values = values
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@ -386,7 +388,12 @@ class Database:
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def __enter__(self) -> "Database":
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return self
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def __exit__(self, exc_type, exc_val, exc_tb) -> None:
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def __exit__(
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self,
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exc_type: Optional[Type[BaseException]],
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exc_val: Optional[BaseException],
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exc_tb: Optional[object],
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) -> None:
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self.close()
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def close(self) -> None:
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@ -394,7 +401,7 @@ class Database:
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self.conn.close()
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@contextlib.contextmanager
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def ensure_autocommit_off(self):
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def ensure_autocommit_off(self) -> Generator[None, None, None]:
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"""
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Ensure autocommit is off for this database connection.
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@ -413,7 +420,9 @@ class Database:
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self.conn.isolation_level = old_isolation_level
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@contextlib.contextmanager
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def tracer(self, tracer: Optional[Callable] = None):
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def tracer(
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self, tracer: Optional[Callable[[str, Optional[Sequence]], None]] = None
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) -> Generator["Database", None, None]:
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"""
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Context manager to temporarily set a tracer function - all executed SQL queries will
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be passed to this.
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@ -456,7 +465,7 @@ class Database:
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deterministic: bool = False,
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replace: bool = False,
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name: Optional[str] = None,
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):
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) -> Optional[Callable[[Callable], Callable]]:
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"""
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``fn`` will be made available as a function within SQL, with the same name and number
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of arguments. Can be used as a decorator::
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@ -479,12 +488,12 @@ class Database:
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:param name: name of the SQLite function - if not specified, the Python function name will be used
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"""
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def register(fn):
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fn_name = name or fn.__name__
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def register(fn: Callable) -> Callable:
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fn_name = name or fn.__name__ # type: ignore
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arity = len(inspect.signature(fn).parameters)
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if not replace and (fn_name, arity) in self._registered_functions:
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return fn
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kwargs = {}
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kwargs: Dict[str, bool] = {}
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registered = False
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if deterministic:
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# Try this, but fall back if sqlite3.NotSupportedError
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@ -504,12 +513,13 @@ class Database:
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return register
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else:
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register(fn)
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return None
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def register_fts4_bm25(self):
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def register_fts4_bm25(self) -> None:
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"Register the ``rank_bm25(match_info)`` function used for calculating relevance with SQLite FTS4."
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self.register_function(rank_bm25, deterministic=True, replace=True)
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def attach(self, alias: str, filepath: Union[str, pathlib.Path]):
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def attach(self, alias: str, filepath: Union[str, pathlib.Path]) -> None:
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"""
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Attach another SQLite database file to this connection with the specified alias, equivalent to::
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@ -567,7 +577,7 @@ class Database:
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self._tracer(sql, None)
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return self.conn.executescript(sql)
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def table(self, table_name: str, **kwargs) -> "Table":
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def table(self, table_name: str, **kwargs: Any) -> "Table":
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"""
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Return a table object, optionally configured with default options.
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@ -766,7 +776,7 @@ class Database:
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"""
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return self.execute("PRAGMA journal_mode;").fetchone()[0]
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def enable_wal(self):
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def enable_wal(self) -> None:
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"""
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Sets ``journal_mode`` to ``'wal'`` to enable Write-Ahead Log mode.
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"""
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@ -774,17 +784,17 @@ class Database:
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with self.ensure_autocommit_off():
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self.execute("PRAGMA journal_mode=wal;")
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def disable_wal(self):
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def disable_wal(self) -> None:
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"Sets ``journal_mode`` back to ``'delete'`` to disable Write-Ahead Log mode."
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if self.journal_mode != "delete":
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with self.ensure_autocommit_off():
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self.execute("PRAGMA journal_mode=delete;")
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def _ensure_counts_table(self):
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def _ensure_counts_table(self) -> None:
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with self.conn:
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self.execute(_COUNTS_TABLE_CREATE_SQL.format(self._counts_table_name))
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def enable_counts(self):
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def enable_counts(self) -> None:
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"""
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Enable trigger-based count caching for every table in the database, see
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:ref:`python_api_cached_table_counts`.
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@ -814,7 +824,7 @@ class Database:
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except OperationalError:
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return {}
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def reset_counts(self):
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def reset_counts(self) -> None:
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"Re-calculate cached counts for tables."
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tables = [table for table in self.tables if table.has_counts_triggers]
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with self.conn:
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@ -1159,7 +1169,7 @@ class Database:
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hash_id_columns=hash_id_columns,
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)
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def rename_table(self, name: str, new_name: str):
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def rename_table(self, name: str, new_name: str) -> None:
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"""
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Rename a table.
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@ -1174,7 +1184,7 @@ class Database:
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def create_view(
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self, name: str, sql: str, ignore: bool = False, replace: bool = False
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):
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) -> "Database":
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"""
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Create a new SQL view with the specified name - ``sql`` should start with ``SELECT ...``.
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@ -1220,7 +1230,9 @@ class Database:
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candidates.append(table_obj.name)
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return candidates
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def add_foreign_keys(self, foreign_keys: Iterable[Tuple[str, str, str, str]]):
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def add_foreign_keys(
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self, foreign_keys: Iterable[Tuple[str, str, str, str]]
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) -> None:
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"""
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See :ref:`python_api_add_foreign_keys`.
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@ -1272,7 +1284,7 @@ class Database:
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self.vacuum()
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def index_foreign_keys(self):
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def index_foreign_keys(self) -> None:
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"Create indexes for every foreign key column on every table in the database."
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for table_name in self.table_names():
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table = self.table(table_name)
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@ -1283,11 +1295,11 @@ class Database:
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if fk.column not in existing_indexes:
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table.create_index([fk.column], find_unique_name=True)
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def vacuum(self):
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def vacuum(self) -> None:
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"Run a SQLite ``VACUUM`` against the database."
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self.execute("VACUUM;")
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def analyze(self, name=None):
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def analyze(self, name: Optional[str] = None) -> None:
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"""
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Run ``ANALYZE`` against the entire database or a named table or index.
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@ -1355,18 +1367,21 @@ class Database:
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class Queryable:
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db: "Database"
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name: str
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def exists(self) -> bool:
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"Does this table or view exist yet?"
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return False
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def __init__(self, db, name):
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def __init__(self, db: "Database", name: str) -> None:
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self.db = db
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self.name = name
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def count_where(
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self,
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where: Optional[str] = None,
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where_args: Optional[Union[Iterable, dict]] = None,
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where_args: Optional[Union[Sequence, Dict[str, Any]]] = None,
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) -> int:
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"""
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Executes ``SELECT count(*) FROM table WHERE ...`` and returns a count.
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@ -1380,7 +1395,7 @@ class Queryable:
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sql += " where " + where
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return self.db.execute(sql, where_args or []).fetchone()[0]
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def execute_count(self):
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def execute_count(self) -> int:
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# Backwards compatibility, see https://github.com/simonw/sqlite-utils/issues/305#issuecomment-890713185
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return self.count_where()
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@ -1390,19 +1405,19 @@ class Queryable:
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return self.count_where()
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@property
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def rows(self) -> Generator[dict, None, None]:
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def rows(self) -> Generator[Dict[str, Any], None, None]:
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"Iterate over every dictionaries for each row in this table or view."
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return self.rows_where()
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def rows_where(
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self,
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where: Optional[str] = None,
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where_args: Optional[Union[Iterable, dict]] = None,
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where_args: Optional[Union[Sequence, Dict[str, Any]]] = None,
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order_by: Optional[str] = None,
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select: str = "*",
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limit: Optional[int] = None,
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offset: Optional[int] = None,
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) -> Generator[dict, None, None]:
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) -> Generator[Dict[str, Any], None, None]:
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"""
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Iterate over every row in this table or view that matches the specified where clause.
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@ -1435,11 +1450,11 @@ class Queryable:
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def pks_and_rows_where(
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self,
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where: Optional[str] = None,
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where_args: Optional[Union[Iterable, dict]] = None,
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where_args: Optional[Union[Sequence, Dict[str, Any]]] = None,
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order_by: Optional[str] = None,
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limit: Optional[int] = None,
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offset: Optional[int] = None,
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) -> Generator[Tuple[Any, Dict], None, None]:
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) -> Generator[Tuple[Any, Dict[str, Any]], None, None]:
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"""
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Like ``.rows_where()`` but returns ``(pk, row)`` pairs - ``pk`` can be a single value or tuple.
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@ -1804,18 +1819,18 @@ class Table(Queryable):
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self.name,
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columns,
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pk=pk,
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foreign_keys=foreign_keys,
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column_order=column_order,
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not_null=not_null,
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defaults=defaults,
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hash_id=hash_id,
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hash_id_columns=hash_id_columns,
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extracts=extracts,
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foreign_keys=foreign_keys, # type: ignore[arg-type]
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column_order=column_order, # type: ignore[arg-type]
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not_null=not_null, # type: ignore[arg-type]
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defaults=defaults, # type: ignore[arg-type]
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hash_id=hash_id, # type: ignore[arg-type]
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hash_id_columns=hash_id_columns, # type: ignore[arg-type]
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extracts=extracts, # type: ignore[arg-type]
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if_not_exists=if_not_exists,
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replace=replace,
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ignore=ignore,
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transform=transform,
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strict=strict,
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strict=strict, # type: ignore[arg-type]
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)
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return self
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@ -1833,7 +1848,7 @@ class Table(Queryable):
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quote_identifier(self.name),
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)
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self.db.execute(sql)
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return self.db[new_name]
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return self.db.table(new_name)
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def transform(
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self,
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@ -2138,7 +2153,7 @@ class Table(Queryable):
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)
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)
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table = table or "_".join(columns)
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lookup_table = self.db[table]
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lookup_table = self.db.table(table)
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fk_column = fk_column or "{}_id".format(table)
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magic_lookup_column = "{}_{}".format(fk_column, os.urandom(6).hex())
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@ -2350,7 +2365,7 @@ class Table(Queryable):
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self.add_foreign_key(col_name, fk, fk_col)
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return self
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def drop(self, ignore: bool = False):
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def drop(self, ignore: bool = False) -> None:
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"""
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Drop this table.
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@ -2394,7 +2409,7 @@ class Table(Queryable):
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)
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)
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def guess_foreign_column(self, other_table: str):
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def guess_foreign_column(self, other_table: str) -> str:
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pks = [c for c in self.db[other_table].columns if c.is_pk]
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if len(pks) != 1:
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raise BadPrimaryKey(
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@ -2453,7 +2468,7 @@ class Table(Queryable):
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self.db.add_foreign_keys([(self.name, column, other_table, other_column)])
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return self
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def enable_counts(self):
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def enable_counts(self) -> None:
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"""
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Set up triggers to update a cache of the count of rows in this table.
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@ -2665,7 +2680,7 @@ class Table(Queryable):
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)
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return self
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def rebuild_fts(self):
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def rebuild_fts(self) -> "Table":
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"Run the ``rebuild`` operation against the associated full-text search index table."
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fts_table = self.detect_fts()
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if fts_table is None:
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@ -2752,7 +2767,7 @@ class Table(Queryable):
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self.name
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)
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fts_table_quoted = quote_identifier(fts_table)
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virtual_table_using = self.db[fts_table].virtual_table_using
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virtual_table_using = self.db.table(fts_table).virtual_table_using
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sql = textwrap.dedent(
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"""
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with {original} as (
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@ -2849,7 +2864,7 @@ class Table(Queryable):
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for row in cursor:
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yield dict(zip(columns, row))
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def value_or_default(self, key, value):
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def value_or_default(self, key: str, value: Any) -> Any:
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return self._defaults[key] if value is DEFAULT else value
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def delete(self, pk_values: Union[list, tuple, str, int, float]) -> "Table":
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|
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@ -2872,7 +2887,7 @@ class Table(Queryable):
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def delete_where(
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self,
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where: Optional[str] = None,
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where_args: Optional[Union[Iterable, dict]] = None,
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where_args: Optional[Union[Sequence, Dict[str, Any]]] = None,
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analyze: bool = False,
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) -> "Table":
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"""
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|
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@ -2963,9 +2978,9 @@ class Table(Queryable):
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drop: bool = False,
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multi: bool = False,
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where: Optional[str] = None,
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where_args: Optional[Union[Iterable, dict]] = None,
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where_args: Optional[Union[Sequence, Dict[str, Any]]] = None,
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show_progress: bool = False,
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):
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) -> "Table":
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"""
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Apply conversion function ``fn`` to every value in the specified columns.
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|
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@ -3038,7 +3053,7 @@ class Table(Queryable):
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):
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# First we execute the function
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pk_to_values = {}
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new_column_types = {}
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new_column_types: Dict[str, Set[type]] = {}
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pks = [column.name for column in self.columns if column.is_pk]
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if not pks:
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pks = ["rowid"]
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|
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@ -3128,7 +3143,7 @@ class Table(Queryable):
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if has_extracts:
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for i, key in enumerate(all_columns):
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if key in extracts:
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record_values[i] = self.db[extracts[key]].lookup(
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record_values[i] = self.db.table(extracts[key]).lookup(
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{"value": record_values[i]}
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)
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values.append(record_values)
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|
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@ -3149,7 +3164,7 @@ class Table(Queryable):
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)
|
||||
if key in extracts:
|
||||
extract_table = extracts[key]
|
||||
value = self.db[extract_table].lookup({"value": value})
|
||||
value = self.db.table(extract_table).lookup({"value": value})
|
||||
record_values.append(value)
|
||||
values.append(record_values)
|
||||
|
||||
|
|
@ -3544,7 +3559,7 @@ 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)
|
||||
column_types = suggest_column_types(chunk) # type: ignore[arg-type]
|
||||
if extracts:
|
||||
for col in extracts:
|
||||
if col in column_types:
|
||||
|
|
@ -3570,9 +3585,9 @@ class Table(Queryable):
|
|||
if hash_id:
|
||||
all_columns.insert(0, hash_id)
|
||||
else:
|
||||
all_columns_set = set()
|
||||
all_columns_set: Set[str] = set()
|
||||
for record in chunk:
|
||||
all_columns_set.update(record.keys())
|
||||
all_columns_set.update(record.keys()) # type: ignore[union-attr]
|
||||
all_columns = list(sorted(all_columns_set))
|
||||
if hash_id:
|
||||
all_columns.insert(0, hash_id)
|
||||
|
|
@ -3795,7 +3810,7 @@ class Table(Queryable):
|
|||
)
|
||||
)
|
||||
try:
|
||||
return rows[0][pk]
|
||||
return rows[0][pk] # type: ignore[index]
|
||||
except IndexError:
|
||||
return self.insert(
|
||||
combined_values,
|
||||
|
|
@ -3859,7 +3874,7 @@ class Table(Queryable):
|
|||
already exists.
|
||||
"""
|
||||
if isinstance(other_table, str):
|
||||
other_table = cast(Table, self.db.table(other_table, pk=pk))
|
||||
other_table = self.db.table(other_table, pk=pk)
|
||||
our_id = self.last_pk
|
||||
if lookup is not None:
|
||||
assert record_or_iterable is None, "Provide lookup= or record, not both"
|
||||
|
|
@ -3913,7 +3928,7 @@ class Table(Queryable):
|
|||
)
|
||||
return self
|
||||
|
||||
def analyze(self):
|
||||
def analyze(self) -> None:
|
||||
"Run ANALYZE against this table"
|
||||
self.db.analyze(self.name)
|
||||
|
||||
|
|
@ -4105,7 +4120,7 @@ class Table(Queryable):
|
|||
|
||||
|
||||
class View(Queryable):
|
||||
def exists(self):
|
||||
def exists(self) -> bool:
|
||||
return True
|
||||
|
||||
def __repr__(self) -> str:
|
||||
|
|
@ -4113,7 +4128,7 @@ class View(Queryable):
|
|||
self.name, ", ".join(c.name for c in self.columns)
|
||||
)
|
||||
|
||||
def drop(self, ignore=False):
|
||||
def drop(self, ignore: bool = False) -> None:
|
||||
"""
|
||||
Drop this view.
|
||||
|
||||
|
|
@ -4126,14 +4141,14 @@ class View(Queryable):
|
|||
if not ignore:
|
||||
raise
|
||||
|
||||
def enable_fts(self, *args, **kwargs):
|
||||
def enable_fts(self, *args: object, **kwargs: object) -> None:
|
||||
"``enable_fts()`` is supported on tables but not on views."
|
||||
raise NotImplementedError(
|
||||
"enable_fts() is supported on tables but not on views"
|
||||
)
|
||||
|
||||
|
||||
def jsonify_if_needed(value):
|
||||
def jsonify_if_needed(value: object) -> object:
|
||||
if isinstance(value, decimal.Decimal):
|
||||
return float(value)
|
||||
if isinstance(value, (dict, list, tuple)):
|
||||
|
|
@ -4158,7 +4173,7 @@ def resolve_extracts(
|
|||
return extracts
|
||||
|
||||
|
||||
def _decode_default_value(value):
|
||||
def _decode_default_value(value: str) -> object:
|
||||
if value.startswith("'") and value.endswith("'"):
|
||||
# It's a string
|
||||
return value[1:-1]
|
||||
|
|
|
|||
|
|
@ -1,3 +1,6 @@
|
|||
import sqlite3
|
||||
|
||||
import click
|
||||
from pluggy import HookimplMarker
|
||||
from pluggy import HookspecMarker
|
||||
|
||||
|
|
@ -6,10 +9,10 @@ hookimpl = HookimplMarker("sqlite_utils")
|
|||
|
||||
|
||||
@hookspec
|
||||
def register_commands(cli):
|
||||
def register_commands(cli: click.Group) -> None:
|
||||
"""Register additional CLI commands, e.g. 'sqlite-utils mycommand ...'"""
|
||||
|
||||
|
||||
@hookspec
|
||||
def prepare_connection(conn):
|
||||
def prepare_connection(conn: sqlite3.Connection) -> None:
|
||||
"""Modify SQLite connection in some way e.g. register custom SQL functions"""
|
||||
|
|
|
|||
|
|
@ -1,8 +1,10 @@
|
|||
from typing import Dict, List, Union
|
||||
|
||||
import pluggy
|
||||
import sys
|
||||
from . import hookspecs
|
||||
|
||||
pm = pluggy.PluginManager("sqlite_utils")
|
||||
pm: pluggy.PluginManager = pluggy.PluginManager("sqlite_utils")
|
||||
pm.add_hookspecs(hookspecs)
|
||||
|
||||
if not getattr(sys, "_called_from_test", False):
|
||||
|
|
@ -10,12 +12,12 @@ if not getattr(sys, "_called_from_test", False):
|
|||
pm.load_setuptools_entrypoints("sqlite_utils")
|
||||
|
||||
|
||||
def get_plugins():
|
||||
plugins = []
|
||||
def get_plugins() -> List[Dict[str, Union[str, List[str]]]]:
|
||||
plugins: List[Dict[str, Union[str, List[str]]]] = []
|
||||
plugin_to_distinfo = dict(pm.list_plugin_distinfo())
|
||||
for plugin in pm.get_plugins():
|
||||
hookcallers = pm.get_hookcallers(plugin) or []
|
||||
plugin_info = {
|
||||
plugin_info: Dict[str, Union[str, List[str]]] = {
|
||||
"name": plugin.__name__,
|
||||
"hooks": [h.name for h in hookcallers],
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,11 +1,20 @@
|
|||
from __future__ import annotations
|
||||
|
||||
from typing import Callable, Optional
|
||||
|
||||
from dateutil import parser
|
||||
import json
|
||||
|
||||
IGNORE = object()
|
||||
SET_NULL = object()
|
||||
IGNORE: object = object()
|
||||
SET_NULL: object = object()
|
||||
|
||||
|
||||
def parsedate(value, dayfirst=False, yearfirst=False, errors=None):
|
||||
def parsedate(
|
||||
value: str,
|
||||
dayfirst: bool = False,
|
||||
yearfirst: bool = False,
|
||||
errors: Optional[object] = None,
|
||||
) -> Optional[str]:
|
||||
"""
|
||||
Parse a date and convert it to ISO date format: yyyy-mm-dd
|
||||
\b
|
||||
|
|
@ -31,7 +40,12 @@ def parsedate(value, dayfirst=False, yearfirst=False, errors=None):
|
|||
raise
|
||||
|
||||
|
||||
def parsedatetime(value, dayfirst=False, yearfirst=False, errors=None):
|
||||
def parsedatetime(
|
||||
value: str,
|
||||
dayfirst: bool = False,
|
||||
yearfirst: bool = False,
|
||||
errors: Optional[object] = None,
|
||||
) -> Optional[str]:
|
||||
"""
|
||||
Parse a datetime and convert it to ISO datetime format: yyyy-mm-ddTHH:MM:SS
|
||||
\b
|
||||
|
|
@ -53,7 +67,9 @@ def parsedatetime(value, dayfirst=False, yearfirst=False, errors=None):
|
|||
raise
|
||||
|
||||
|
||||
def jsonsplit(value, delimiter=",", type=str):
|
||||
def jsonsplit(
|
||||
value: str, delimiter: str = ",", type: Callable[[str], object] = str
|
||||
) -> str:
|
||||
"""
|
||||
Convert a string like a,b,c into a JSON array ["a", "b", "c"]
|
||||
"""
|
||||
|
|
|
|||
|
|
@ -8,7 +8,23 @@ import itertools
|
|||
import json
|
||||
import os
|
||||
import sys
|
||||
from typing import Dict, cast, BinaryIO, Iterable, Iterator, Optional, Tuple, Type
|
||||
from typing import (
|
||||
Any,
|
||||
BinaryIO,
|
||||
Callable,
|
||||
Dict,
|
||||
Generator,
|
||||
Iterable,
|
||||
Iterator,
|
||||
List,
|
||||
Optional,
|
||||
Set,
|
||||
Tuple,
|
||||
Type,
|
||||
TypeVar,
|
||||
Union,
|
||||
cast,
|
||||
)
|
||||
|
||||
import click
|
||||
|
||||
|
|
@ -43,18 +59,24 @@ SPATIALITE_PATHS = (
|
|||
# Mainly so we can restore it if needed in the tests:
|
||||
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]
|
||||
Row = Dict[str, RowValue]
|
||||
|
||||
class _CloseableIterator(Iterator[dict]):
|
||||
T = TypeVar("T")
|
||||
|
||||
|
||||
class _CloseableIterator(Iterator[Row]):
|
||||
"""Iterator wrapper that closes a file when iteration is complete."""
|
||||
|
||||
def __init__(self, iterator: Iterator[dict], closeable: io.IOBase):
|
||||
def __init__(self, iterator: Iterator[Row], closeable: io.IOBase) -> None:
|
||||
self._iterator = iterator
|
||||
self._closeable = closeable
|
||||
|
||||
def __iter__(self) -> "_CloseableIterator":
|
||||
return self
|
||||
|
||||
def __next__(self) -> dict:
|
||||
def __next__(self) -> Row:
|
||||
try:
|
||||
return next(self._iterator)
|
||||
except StopIteration:
|
||||
|
|
@ -65,7 +87,7 @@ class _CloseableIterator(Iterator[dict]):
|
|||
self._closeable.close()
|
||||
|
||||
|
||||
def maximize_csv_field_size_limit():
|
||||
def maximize_csv_field_size_limit() -> None:
|
||||
"""
|
||||
Increase the CSV field size limit to the maximum possible.
|
||||
"""
|
||||
|
|
@ -108,20 +130,25 @@ def find_spatialite() -> Optional[str]:
|
|||
return None
|
||||
|
||||
|
||||
def suggest_column_types(records):
|
||||
all_column_types = {}
|
||||
def suggest_column_types(
|
||||
records: Iterable[Dict[str, Any]],
|
||||
) -> Dict[str, type]:
|
||||
all_column_types: Dict[str, Set[type]] = {}
|
||||
for record in records:
|
||||
for key, value in record.items():
|
||||
all_column_types.setdefault(key, set()).add(type(value))
|
||||
return types_for_column_types(all_column_types)
|
||||
|
||||
|
||||
def types_for_column_types(all_column_types):
|
||||
column_types = {}
|
||||
def types_for_column_types(
|
||||
all_column_types: Dict[str, Set[type]],
|
||||
) -> Dict[str, type]:
|
||||
column_types: Dict[str, type] = {}
|
||||
for key, types in all_column_types.items():
|
||||
# Ignore null values if at least one other type present:
|
||||
if len(types) > 1:
|
||||
types.discard(None.__class__)
|
||||
t: type
|
||||
if {None.__class__} == types:
|
||||
t = str
|
||||
elif len(types) == 1:
|
||||
|
|
@ -143,7 +170,7 @@ def types_for_column_types(all_column_types):
|
|||
return column_types
|
||||
|
||||
|
||||
def column_affinity(column_type):
|
||||
def column_affinity(column_type: str) -> type:
|
||||
# Implementation of SQLite affinity rules from
|
||||
# https://www.sqlite.org/datatype3.html#determination_of_column_affinity
|
||||
assert isinstance(column_type, str)
|
||||
|
|
@ -162,38 +189,42 @@ def column_affinity(column_type):
|
|||
return float
|
||||
|
||||
|
||||
def decode_base64_values(doc):
|
||||
def decode_base64_values(doc: Dict[str, Any]) -> Dict[str, Any]:
|
||||
# Looks for '{"$base64": true..., "encoded": ...}' values and decodes them
|
||||
to_fix = [
|
||||
k
|
||||
for k in doc
|
||||
if isinstance(doc[k], dict)
|
||||
and doc[k].get("$base64") is True
|
||||
and "encoded" in doc[k]
|
||||
and cast(dict, doc[k]).get("$base64") is True
|
||||
and "encoded" in cast(dict, doc[k])
|
||||
]
|
||||
if not to_fix:
|
||||
return doc
|
||||
return dict(doc, **{k: base64.b64decode(doc[k]["encoded"]) for k in to_fix})
|
||||
return dict(
|
||||
doc, **{k: base64.b64decode(cast(dict, doc[k])["encoded"]) for k in to_fix}
|
||||
)
|
||||
|
||||
|
||||
class UpdateWrapper:
|
||||
def __init__(self, wrapped, update):
|
||||
def __init__(self, wrapped: io.IOBase, update: Callable[[int], None]) -> None:
|
||||
self._wrapped = wrapped
|
||||
self._update = update
|
||||
|
||||
def __iter__(self):
|
||||
def __iter__(self) -> Iterator[bytes]:
|
||||
for line in self._wrapped:
|
||||
self._update(len(line))
|
||||
yield line
|
||||
|
||||
def read(self, size=-1):
|
||||
def read(self, size: int = -1) -> bytes:
|
||||
data = self._wrapped.read(size)
|
||||
self._update(len(data))
|
||||
return data
|
||||
|
||||
|
||||
@contextlib.contextmanager
|
||||
def file_progress(file, silent=False, **kwargs):
|
||||
def file_progress(
|
||||
file: io.IOBase, silent: bool = False, **kwargs: object
|
||||
) -> Generator[Union[io.IOBase, "UpdateWrapper"], None, None]:
|
||||
if silent:
|
||||
yield file
|
||||
return
|
||||
|
|
@ -206,8 +237,8 @@ def file_progress(file, silent=False, **kwargs):
|
|||
if fileno == 0: # 0 means stdin
|
||||
yield file
|
||||
else:
|
||||
file_length = os.path.getsize(file.name)
|
||||
with click.progressbar(length=file_length, **kwargs) as bar:
|
||||
file_length = os.path.getsize(file.name) # type: ignore
|
||||
with click.progressbar(length=file_length, **kwargs) as bar: # type: ignore
|
||||
yield UpdateWrapper(file, bar.update)
|
||||
|
||||
|
||||
|
|
@ -231,28 +262,30 @@ class RowError(Exception):
|
|||
|
||||
|
||||
def _extra_key_strategy(
|
||||
reader: Iterable[dict],
|
||||
reader: Iterable[Dict[Optional[str], object]],
|
||||
ignore_extras: Optional[bool] = False,
|
||||
extras_key: Optional[str] = None,
|
||||
) -> Iterable[dict]:
|
||||
) -> Iterable[Row]:
|
||||
# Logic for handling CSV rows with more values than there are headings
|
||||
for row in reader:
|
||||
# DictReader adds a 'None' key with extra row values
|
||||
if None not in row:
|
||||
yield row
|
||||
yield cast(Row, row)
|
||||
elif ignore_extras:
|
||||
# ignoring row.pop(none) because of this issue:
|
||||
# https://github.com/simonw/sqlite-utils/issues/440#issuecomment-1155358637
|
||||
row.pop(None) # type: ignore
|
||||
yield row
|
||||
row.pop(None)
|
||||
yield cast(Row, row)
|
||||
elif not extras_key:
|
||||
extras = row.pop(None) # type: ignore
|
||||
extras = row.pop(None)
|
||||
raise RowError(
|
||||
"Row {} contained these extra values: {}".format(row, extras)
|
||||
)
|
||||
else:
|
||||
row[extras_key] = row.pop(None) # type: ignore
|
||||
yield row
|
||||
extras_value = row.pop(None)
|
||||
row_out = cast(Row, row)
|
||||
row_out[extras_key] = extras_value # type: ignore[assignment]
|
||||
yield row_out
|
||||
|
||||
|
||||
def rows_from_file(
|
||||
|
|
@ -262,7 +295,7 @@ def rows_from_file(
|
|||
encoding: Optional[str] = None,
|
||||
ignore_extras: Optional[bool] = False,
|
||||
extras_key: Optional[str] = None,
|
||||
) -> Tuple[Iterable[dict], Format]:
|
||||
) -> Tuple[Iterable[Row], Format]:
|
||||
"""
|
||||
Load a sequence of dictionaries from a file-like object containing one of four different formats.
|
||||
|
||||
|
|
@ -324,10 +357,17 @@ def rows_from_file(
|
|||
rows = _extra_key_strategy(reader, ignore_extras, extras_key)
|
||||
return _CloseableIterator(iter(rows), decoded_fp), Format.CSV
|
||||
elif format == Format.TSV:
|
||||
rows = rows_from_file(
|
||||
rows, _ = rows_from_file(
|
||||
fp, format=Format.CSV, dialect=csv.excel_tab, encoding=encoding
|
||||
)[0]
|
||||
return _extra_key_strategy(rows, ignore_extras, extras_key), Format.TSV
|
||||
)
|
||||
return (
|
||||
_extra_key_strategy(
|
||||
cast(Iterable[Dict[Optional[str], object]], rows),
|
||||
ignore_extras,
|
||||
extras_key,
|
||||
),
|
||||
Format.TSV,
|
||||
)
|
||||
elif format is None:
|
||||
# Detect the format, then call this recursively
|
||||
buffered = io.BufferedReader(cast(io.RawIOBase, fp), buffer_size=4096)
|
||||
|
|
@ -349,8 +389,15 @@ def rows_from_file(
|
|||
buffered, format=Format.CSV, dialect=dialect, encoding=encoding
|
||||
)
|
||||
# Make sure we return the format we detected
|
||||
format = Format.TSV if dialect.delimiter == "\t" else Format.CSV
|
||||
return _extra_key_strategy(rows, ignore_extras, extras_key), format
|
||||
detected_format = Format.TSV if dialect.delimiter == "\t" else Format.CSV
|
||||
return (
|
||||
_extra_key_strategy(
|
||||
cast(Iterable[Dict[Optional[str], object]], rows),
|
||||
ignore_extras,
|
||||
extras_key,
|
||||
),
|
||||
detected_format,
|
||||
)
|
||||
else:
|
||||
raise RowsFromFileError("Bad format")
|
||||
|
||||
|
|
@ -376,10 +423,10 @@ class TypeTracker:
|
|||
db["creatures"].transform(types=tracker.types)
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
self.trackers = {}
|
||||
def __init__(self) -> None:
|
||||
self.trackers: Dict[str, "ValueTracker"] = {}
|
||||
|
||||
def wrap(self, iterator: Iterable[dict]) -> Iterable[dict]:
|
||||
def wrap(self, iterator: Iterable[Dict[str, Any]]) -> Iterable[Dict[str, Any]]:
|
||||
"""
|
||||
Use this to loop through an existing iterator, tracking the column types
|
||||
as part of the iteration.
|
||||
|
|
@ -402,27 +449,29 @@ class TypeTracker:
|
|||
|
||||
|
||||
class ValueTracker:
|
||||
def __init__(self):
|
||||
couldbe: Dict[str, Callable[[object], bool]]
|
||||
|
||||
def __init__(self) -> None:
|
||||
self.couldbe = {key: getattr(self, "test_" + key) for key in self.get_tests()}
|
||||
|
||||
@classmethod
|
||||
def get_tests(cls):
|
||||
def get_tests(cls) -> List[str]:
|
||||
return [
|
||||
key.split("test_")[-1]
|
||||
for key in cls.__dict__.keys()
|
||||
if key.startswith("test_")
|
||||
]
|
||||
|
||||
def test_integer(self, value):
|
||||
def test_integer(self, value: object) -> bool:
|
||||
try:
|
||||
int(value)
|
||||
int(value) # type: ignore
|
||||
return True
|
||||
except (ValueError, TypeError):
|
||||
return False
|
||||
|
||||
def test_float(self, value):
|
||||
def test_float(self, value: object) -> bool:
|
||||
try:
|
||||
float(value)
|
||||
float(value) # type: ignore[arg-type]
|
||||
return True
|
||||
except (ValueError, TypeError):
|
||||
return False
|
||||
|
|
@ -431,7 +480,7 @@ class ValueTracker:
|
|||
return self.guessed_type + ": possibilities = " + repr(self.couldbe)
|
||||
|
||||
@property
|
||||
def guessed_type(self):
|
||||
def guessed_type(self) -> str:
|
||||
options = set(self.couldbe.keys())
|
||||
# Return based on precedence
|
||||
for key in self.get_tests():
|
||||
|
|
@ -439,10 +488,10 @@ class ValueTracker:
|
|||
return key
|
||||
return "text"
|
||||
|
||||
def evaluate(self, value):
|
||||
def evaluate(self, value: object) -> None:
|
||||
if not value or not self.couldbe:
|
||||
return
|
||||
not_these = []
|
||||
not_these: List[str] = []
|
||||
for name, test in self.couldbe.items():
|
||||
if not test(value):
|
||||
not_these.append(name)
|
||||
|
|
@ -451,45 +500,47 @@ class ValueTracker:
|
|||
|
||||
|
||||
class NullProgressBar:
|
||||
def __init__(self, *args):
|
||||
def __init__(self, *args: Iterable[T]) -> None:
|
||||
self.args = args
|
||||
|
||||
def __iter__(self):
|
||||
yield from self.args[0]
|
||||
def __iter__(self) -> Iterator[T]:
|
||||
yield from self.args[0] # type: ignore
|
||||
|
||||
def update(self, value):
|
||||
def update(self, value: int) -> None:
|
||||
pass
|
||||
|
||||
|
||||
@contextlib.contextmanager
|
||||
def progressbar(*args, **kwargs):
|
||||
def progressbar(*args: Iterable[T], **kwargs: Any) -> Generator[Any, None, None]:
|
||||
silent = kwargs.pop("silent")
|
||||
if silent:
|
||||
yield NullProgressBar(*args)
|
||||
else:
|
||||
with click.progressbar(*args, **kwargs) as bar:
|
||||
with click.progressbar(*args, **kwargs) as bar: # type: ignore
|
||||
yield bar
|
||||
|
||||
|
||||
def _compile_code(code, imports, variable="value"):
|
||||
globals = {"r": recipes, "recipes": recipes}
|
||||
def _compile_code(
|
||||
code: str, imports: Iterable[str], variable: str = "value"
|
||||
) -> Callable[..., Any]:
|
||||
globals_dict: Dict[str, Any] = {"r": recipes, "recipes": recipes}
|
||||
# Handle imports first so they're available for all approaches
|
||||
for import_ in imports:
|
||||
globals[import_.split(".")[0]] = __import__(import_)
|
||||
globals_dict[import_.split(".")[0]] = __import__(import_)
|
||||
|
||||
# If user defined a convert() function, return that
|
||||
try:
|
||||
exec(code, globals)
|
||||
return globals["convert"]
|
||||
exec(code, globals_dict)
|
||||
return cast(Callable[..., object], globals_dict["convert"])
|
||||
except (AttributeError, SyntaxError, NameError, KeyError, TypeError):
|
||||
pass
|
||||
|
||||
# Check if code is a direct callable reference
|
||||
# e.g. "r.parsedate" instead of "r.parsedate(value)"
|
||||
try:
|
||||
fn = eval(code, globals)
|
||||
fn = eval(code, globals_dict)
|
||||
if callable(fn):
|
||||
return fn
|
||||
return cast(Callable[..., object], fn)
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
|
|
@ -514,11 +565,11 @@ def _compile_code(code, imports, variable="value"):
|
|||
if code_o is None:
|
||||
raise SyntaxError("Could not compile code")
|
||||
|
||||
exec(code_o, globals)
|
||||
return globals["fn"]
|
||||
exec(code_o, globals_dict)
|
||||
return cast(Callable[..., object], globals_dict["fn"])
|
||||
|
||||
|
||||
def chunks(sequence: Iterable, size: int) -> Iterable[Iterable]:
|
||||
def chunks(sequence: Iterable[T], size: int) -> Iterable[Iterable[T]]:
|
||||
"""
|
||||
Iterate over chunks of the sequence of the given size.
|
||||
|
||||
|
|
@ -530,7 +581,7 @@ def chunks(sequence: Iterable, size: int) -> Iterable[Iterable]:
|
|||
yield itertools.chain([item], itertools.islice(iterator, size - 1))
|
||||
|
||||
|
||||
def hash_record(record: Dict, keys: Optional[Iterable[str]] = None):
|
||||
def hash_record(record: Dict[str, Any], keys: Optional[Iterable[str]] = None) -> str:
|
||||
"""
|
||||
``record`` should be a Python dictionary. Returns a sha1 hash of the
|
||||
keys and values in that record.
|
||||
|
|
@ -551,7 +602,7 @@ def hash_record(record: Dict, keys: Optional[Iterable[str]] = None):
|
|||
:param record: Record to generate a hash for
|
||||
:param keys: Subset of keys to use for that hash
|
||||
"""
|
||||
to_hash = record
|
||||
to_hash: Dict[str, Any] = record
|
||||
if keys is not None:
|
||||
to_hash = {key: record[key] for key in keys}
|
||||
return hashlib.sha1(
|
||||
|
|
@ -561,7 +612,7 @@ def hash_record(record: Dict, keys: Optional[Iterable[str]] = None):
|
|||
).hexdigest()
|
||||
|
||||
|
||||
def _flatten(d):
|
||||
def _flatten(d: Dict[str, Any]) -> Generator[Tuple[str, Any], None, None]:
|
||||
for key, value in d.items():
|
||||
if isinstance(value, dict):
|
||||
for key2, value2 in _flatten(value):
|
||||
|
|
@ -570,7 +621,7 @@ def _flatten(d):
|
|||
yield key, value
|
||||
|
||||
|
||||
def flatten(row: dict) -> dict:
|
||||
def flatten(row: Dict[str, Any]) -> Dict[str, Any]:
|
||||
"""
|
||||
Turn a nested dict e.g. ``{"a": {"b": 1}}`` into a flat dict: ``{"a_b": 1}``
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue