#
# This module is part of SQLAlchemy and is released under
# the MIT License: https://www.opensource.org/licenses/mit-license.php
-# mypy: allow-untyped-defs, allow-untyped-calls
"""Define cursor-specific result set constructs including
:class:`.CursorResult`."""
from typing import Any
from typing import cast
from typing import ClassVar
+from typing import Deque
from typing import Dict
from typing import Final
from typing import Iterable
from .base import Connection
from .default import DefaultExecutionContext
from .interfaces import _DBAPICursorDescription
+ from .interfaces import _MutableCoreSingleExecuteParams
+ from .interfaces import CoreExecuteOptionsParameter
from .interfaces import DBAPICursor
+ from .interfaces import DBAPIType
from .interfaces import Dialect
from .interfaces import ExecutionContext
from .result import _KeyIndexType
from .result import _KeyType
from .result import _ProcessorsType
from .result import _TupleGetterType
+ from ..sql.schema import Column
from ..sql.type_api import _ResultProcessorType
_CursorKeyMapRecType = Tuple[
Optional[int], # MD_INDEX, None means the record is ambiguously named
int, # MD_RESULT_MAP_INDEX, -1 if MD_INDEX is None
- List[Any], # MD_OBJECTS
+ TupleAny, # MD_OBJECTS
str, # MD_LOOKUP_KEY
str, # MD_RENDERED_NAME
Optional["_ResultProcessorType[Any]"], # MD_PROCESSOR
str,
]
+_MergeColTuple = Tuple[
+ int,
+ Optional[int],
+ str,
+ TypeEngine[Any],
+ "DBAPIType",
+ Optional[TupleAny],
+ Optional[str],
+]
+
class CursorResultMetaData(ResultMetaData):
"""Result metadata for DBAPI cursors."""
# column keys and other names
if num_ctx_cols:
# keymap by primary string...
- by_key: Dict[str, _CursorKeyMapRecType] = {
+ by_key: Dict[_KeyType, _CursorKeyMapRecType] = {
metadata_entry[MD_LOOKUP_KEY]: metadata_entry
for metadata_entry in raw
}
# record into by_key.
by_key.update(
{
- key: (None, -1, [], key, key, None, None)
+ key: (None, -1, (), key, key, None, None)
for key in dupes
}
)
def _merge_cursor_description(
self,
- context,
- cursor_description,
- result_columns,
- num_ctx_cols,
- cols_are_ordered,
- textual_ordered,
- ad_hoc_textual,
- loose_column_name_matching,
- driver_column_names,
- ):
+ context: DefaultExecutionContext,
+ cursor_description: _DBAPICursorDescription,
+ result_columns: Sequence[ResultColumnsEntry],
+ num_ctx_cols: int,
+ cols_are_ordered: bool,
+ textual_ordered: bool,
+ ad_hoc_textual: bool,
+ loose_column_name_matching: bool,
+ driver_column_names: bool,
+ ) -> List[_CursorKeyMapRecType]:
"""Merge a cursor.description with compiled result column information.
There are at least four separate strategies used here, selected
mapped_type, cursor_colname, coltype
),
untranslated,
- )
+ ) # type: ignore[misc]
for (
idx,
ridx,
]
def _colnames_from_description(
- self, context, cursor_description, driver_column_names
- ):
+ self,
+ context: DefaultExecutionContext,
+ cursor_description: _DBAPICursorDescription,
+ driver_column_names: bool,
+ ) -> Iterator[Tuple[int, str, str, Optional[str], DBAPIType]]:
"""Extract column names and data types from a cursor.description.
Applies unicode decoding, column translation, "normalization",
yield idx, colname, unnormalized, untranslated, coltype
def _merge_textual_cols_by_position(
- self, context, cursor_description, result_columns, driver_column_names
- ):
+ self,
+ context: DefaultExecutionContext,
+ cursor_description: _DBAPICursorDescription,
+ result_columns: Sequence[ResultColumnsEntry],
+ driver_column_names: bool,
+ ) -> Iterator[_MergeColTuple]:
num_ctx_cols = len(result_columns)
if num_ctx_cols > len(cursor_description):
def _merge_cols_by_name(
self,
- context,
- cursor_description,
- result_columns,
- loose_column_name_matching,
- driver_column_names,
- ):
+ context: DefaultExecutionContext,
+ cursor_description: _DBAPICursorDescription,
+ result_columns: Sequence[ResultColumnsEntry],
+ loose_column_name_matching: bool,
+ driver_column_names: bool,
+ ) -> Iterator[_MergeColTuple]:
match_map = self._create_description_match_map(
result_columns, loose_column_name_matching
)
@classmethod
def _create_description_match_map(
cls,
- result_columns: List[ResultColumnsEntry],
+ result_columns: Sequence[ResultColumnsEntry],
loose_column_name_matching: bool = False,
- ) -> Dict[
- Union[str, object], Tuple[str, Tuple[Any, ...], TypeEngine[Any], int]
- ]:
+ ) -> Dict[Union[str, object], Tuple[str, TupleAny, TypeEngine[Any], int]]:
"""when matching cursor.description to a set of names that are present
in a Compiled object, as is the case with TextualSelect, get all the
names we expect might match those in cursor.description.
d: Dict[
Union[str, object],
- Tuple[str, Tuple[Any, ...], TypeEngine[Any], int],
+ Tuple[str, TupleAny, TypeEngine[Any], int],
] = {}
for ridx, elem in enumerate(result_columns):
key = elem[RM_RENDERED_NAME]
return d
def _merge_cols_by_none(
- self, context, cursor_description, driver_column_names
- ):
+ self,
+ context: DefaultExecutionContext,
+ cursor_description: _DBAPICursorDescription,
+ driver_column_names: bool,
+ ) -> Iterator[_MergeColTuple]:
self._keys = []
for (
else:
return None
- def _raise_for_ambiguous_column_name(self, rec):
+ def _raise_for_ambiguous_column_name(
+ self, rec: _KeyMapRecType
+ ) -> NoReturn:
raise exc.InvalidRequestError(
"Ambiguous column name '%s' in "
"result set column descriptions" % rec[MD_LOOKUP_KEY]
)
- def _index_for_key(self, key: Any, raiseerr: bool = True) -> Optional[int]:
+ def _index_for_key(
+ self, key: _KeyIndexType, raiseerr: bool = True
+ ) -> Optional[int]:
# TODO: can consider pre-loading ints and negative ints
# into _keymap - also no coverage here
if isinstance(key, int):
self._raise_for_ambiguous_column_name(rec)
return index
- def _indexes_for_keys(self, keys):
+ def _indexes_for_keys(
+ self, keys: Sequence[_KeyIndexType]
+ ) -> Sequence[int]:
try:
- return [self._keymap[key][0] for key in keys]
+ return [self._keymap[key][0] for key in keys] # type: ignore[index,misc] # noqa: E501
except KeyError as ke:
# ensure it raises
CursorResultMetaData._key_fallback(self, ke.args[0], ke)
def _metadata_for_keys(
- self, keys: Sequence[Any]
+ self, keys: Sequence[_KeyIndexType]
) -> Iterator[_NonAmbigCursorKeyMapRecType]:
for key in keys:
if isinstance(key, int):
yield cast(_NonAmbigCursorKeyMapRecType, rec)
- def __getstate__(self):
+ def __getstate__(self) -> Dict[str, Any]:
# TODO: consider serializing this as SimpleResultMetaData
return {
"_keymap": {
"_translated_indexes": self._translated_indexes,
}
- def __setstate__(self, state):
+ def __setstate__(self, state: Dict[str, Any]) -> None:
self._processors = [None for _ in range(len(state["_keys"]))]
self._keymap = state["_keymap"]
self._keymap_by_result_column_idx = None
def yield_per(
self,
result: CursorResult[Unpack[TupleAny]],
- dbapi_cursor: Optional[DBAPICursor],
+ dbapi_cursor: DBAPICursor,
num: int,
) -> None:
return
__slots__ = ()
- def soft_close(self, result, dbapi_cursor):
+ def soft_close(
+ self,
+ result: CursorResult[Unpack[TupleAny]],
+ dbapi_cursor: Optional[DBAPICursor],
+ ) -> None:
pass
- def hard_close(self, result, dbapi_cursor):
+ def hard_close(
+ self,
+ result: CursorResult[Unpack[TupleAny]],
+ dbapi_cursor: Optional[DBAPICursor],
+ ) -> None:
pass
- def fetchone(self, result, dbapi_cursor, hard_close=False):
+ def fetchone(
+ self,
+ result: CursorResult[Unpack[TupleAny]],
+ dbapi_cursor: DBAPICursor,
+ hard_close: bool = False,
+ ) -> Any:
return self._non_result(result, None)
- def fetchmany(self, result, dbapi_cursor, size=None):
+ def fetchmany(
+ self,
+ result: CursorResult[Unpack[TupleAny]],
+ dbapi_cursor: DBAPICursor,
+ size: Optional[int] = None,
+ ) -> Any:
return self._non_result(result, [])
- def fetchall(self, result, dbapi_cursor):
+ def fetchall(
+ self, result: CursorResult[Unpack[TupleAny]], dbapi_cursor: DBAPICursor
+ ) -> Any:
return self._non_result(result, [])
- def _non_result(self, result, default, err=None):
+ def _non_result(
+ self,
+ result: CursorResult[Unpack[TupleAny]],
+ default: Any,
+ err: Optional[BaseException] = None,
+ ) -> Any:
raise NotImplementedError()
__slots__ = ()
- def _non_result(self, result, default, err=None):
+ def _non_result(
+ self,
+ result: CursorResult[Unpack[TupleAny]],
+ default: Any,
+ err: Optional[BaseException] = None,
+ ) -> Any:
if result.closed:
raise exc.ResourceClosedError(
"This result object is closed."
__slots__ = ()
- def _non_result(self, result, default, err=None):
+ def _non_result(
+ self,
+ result: CursorResult[Unpack[TupleAny]],
+ default: Any,
+ err: Optional[BaseException] = None,
+ ) -> Any:
# we only expect to have a _NoResultMetaData() here right now.
assert not result._metadata.returns_rows
- result._metadata._we_dont_return_rows(err)
+ result._metadata._we_dont_return_rows(err) # type: ignore[union-attr]
_NO_CURSOR_DML = NoCursorDMLFetchStrategy()
)
def yield_per(
- self,
- result: CursorResult[Any],
- dbapi_cursor: Optional[DBAPICursor],
- num: int,
+ self, result: CursorResult[Any], dbapi_cursor: DBAPICursor, num: int
) -> None:
result.cursor_strategy = BufferedRowCursorFetchStrategy(
dbapi_cursor,
def __init__(
self,
- dbapi_cursor,
- execution_options,
- growth_factor=5,
- initial_buffer=None,
- ):
+ dbapi_cursor: DBAPICursor,
+ execution_options: CoreExecuteOptionsParameter,
+ growth_factor: int = 5,
+ initial_buffer: Optional[Deque[Any]] = None,
+ ) -> None:
self._max_row_buffer = execution_options.get("max_row_buffer", 1000)
if initial_buffer is not None:
self._bufsize = self._max_row_buffer
@classmethod
- def create(cls, result):
+ def create(
+ cls, result: CursorResult[Any]
+ ) -> BufferedRowCursorFetchStrategy:
return BufferedRowCursorFetchStrategy(
result.cursor,
result.context.execution_options,
)
- def _buffer_rows(self, result, dbapi_cursor):
+ def _buffer_rows(
+ self, result: CursorResult[Any], dbapi_cursor: DBAPICursor
+ ) -> None:
"""this is currently used only by fetchone()."""
size = self._bufsize
self._max_row_buffer, size * self._growth_factor
)
- def yield_per(self, result, dbapi_cursor, num):
+ def yield_per(
+ self, result: CursorResult[Any], dbapi_cursor: DBAPICursor, num: int
+ ) -> None:
self._growth_factor = 0
self._max_row_buffer = self._bufsize = num
- def soft_close(self, result, dbapi_cursor):
+ def soft_close(
+ self, result: CursorResult[Any], dbapi_cursor: Optional[DBAPICursor]
+ ) -> None:
self._rowbuffer.clear()
super().soft_close(result, dbapi_cursor)
- def hard_close(self, result, dbapi_cursor):
+ def hard_close(
+ self, result: CursorResult[Any], dbapi_cursor: Optional[DBAPICursor]
+ ) -> None:
self._rowbuffer.clear()
super().hard_close(result, dbapi_cursor)
- def fetchone(self, result, dbapi_cursor, hard_close=False):
+ def fetchone(
+ self,
+ result: CursorResult[Any],
+ dbapi_cursor: DBAPICursor,
+ hard_close: bool = False,
+ ) -> Any:
if not self._rowbuffer:
self._buffer_rows(result, dbapi_cursor)
if not self._rowbuffer:
return None
return self._rowbuffer.popleft()
- def fetchmany(self, result, dbapi_cursor, size=None):
+ def fetchmany(
+ self,
+ result: CursorResult[Any],
+ dbapi_cursor: DBAPICursor,
+ size: Optional[int] = None,
+ ) -> Any:
if size is None:
return self.fetchall(result, dbapi_cursor)
result._soft_close()
return res
- def fetchall(self, result, dbapi_cursor):
+ def fetchall(
+ self, result: CursorResult[Any], dbapi_cursor: DBAPICursor
+ ) -> Any:
try:
ret = list(self._rowbuffer) + list(dbapi_cursor.fetchall())
self._rowbuffer.clear()
assert dbapi_cursor is not None
self._rowbuffer = collections.deque(dbapi_cursor.fetchall())
- def yield_per(self, result, dbapi_cursor, num):
+ def yield_per(
+ self, result: CursorResult[Any], dbapi_cursor: DBAPICursor, num: int
+ ) -> Any:
pass
- def soft_close(self, result, dbapi_cursor):
+ def soft_close(
+ self, result: CursorResult[Any], dbapi_cursor: Optional[DBAPICursor]
+ ) -> None:
self._rowbuffer.clear()
super().soft_close(result, dbapi_cursor)
- def hard_close(self, result, dbapi_cursor):
+ def hard_close(
+ self, result: CursorResult[Any], dbapi_cursor: Optional[DBAPICursor]
+ ) -> None:
self._rowbuffer.clear()
super().hard_close(result, dbapi_cursor)
- def fetchone(self, result, dbapi_cursor, hard_close=False):
+ def fetchone(
+ self,
+ result: CursorResult[Any],
+ dbapi_cursor: DBAPICursor,
+ hard_close: bool = False,
+ ) -> Any:
if self._rowbuffer:
return self._rowbuffer.popleft()
else:
result._soft_close(hard=hard_close)
return None
- def fetchmany(self, result, dbapi_cursor, size=None):
+ def fetchmany(
+ self,
+ result: CursorResult[Any],
+ dbapi_cursor: DBAPICursor,
+ size: Optional[int] = None,
+ ) -> Any:
if size is None:
return self.fetchall(result, dbapi_cursor)
result._soft_close()
return rows
- def fetchall(self, result, dbapi_cursor):
+ def fetchall(
+ self, result: CursorResult[Any], dbapi_cursor: DBAPICursor
+ ) -> Any:
ret = self._rowbuffer
self._rowbuffer = collections.deque()
result._soft_close()
returns_rows = False
- def _we_dont_return_rows(self, err=None):
+ def _we_dont_return_rows(
+ self, err: Optional[BaseException] = None
+ ) -> NoReturn:
raise exc.ResourceClosedError(
"This result object does not return rows. "
"It has been closed automatically."
) from err
- def _index_for_key(self, keys, raiseerr):
+ def _index_for_key(self, keys: _KeyIndexType, raiseerr: bool) -> NoReturn:
self._we_dont_return_rows()
- def _metadata_for_keys(self, key):
+ def _metadata_for_keys(self, keys: Sequence[_KeyIndexType]) -> NoReturn:
self._we_dont_return_rows()
- def _reduce(self, keys):
+ def _reduce(self, keys: Sequence[_KeyIndexType]) -> NoReturn:
self._we_dont_return_rows()
@property
- def _keymap(self): # type: ignore[override]
+ def _keymap(self) -> NoReturn: # type: ignore[override]
self._we_dont_return_rows()
@property
- def _key_to_index(self): # type: ignore[override]
+ def _key_to_index(self) -> NoReturn: # type: ignore[override]
self._we_dont_return_rows()
@property
- def _processors(self): # type: ignore[override]
+ def _processors(self) -> NoReturn: # type: ignore[override]
self._we_dont_return_rows()
@property
- def keys(self):
+ def keys(self) -> NoReturn:
self._we_dont_return_rows()
if tf is not None:
_fixed_tf = tf # needed to make mypy happy...
- def _sliced_row(raw_data):
+ def _sliced_row(raw_data: Any) -> Any:
return _make_row(_fixed_tf(raw_data))
sliced_row = _sliced_row
if echo:
log = self.context.connection._log_debug
- def _log_row(row):
+ def _log_row(row: Any) -> Any:
log("Row %r", sql_util._repr_row(row))
return row
self._row_logging_fn = _log_row
- def _make_row_2(row):
+ def _make_row_2(row: Any) -> Any:
return _log_row(sliced_row(row))
make_row = _make_row_2
else:
- make_row = sliced_row
+ make_row = sliced_row # type: ignore[assignment]
self._set_memoized_attribute("_row_getter", make_row)
else:
)
return metadata
- def _soft_close(self, hard=False):
+ def _soft_close(self, hard: bool = False) -> None:
"""Soft close this :class:`_engine.CursorResult`.
This releases all DBAPI cursor resources, but leaves the
self._soft_closed = True
@property
- def inserted_primary_key_rows(self):
+ def inserted_primary_key_rows(self) -> List[Optional[Any]]:
"""Return the value of
:attr:`_engine.CursorResult.inserted_primary_key`
as a row contained within a list; some dialects may support a
"when returning() "
"is used."
)
- return self.context.inserted_primary_key_rows
+ return self.context.inserted_primary_key_rows # type: ignore[no-any-return] # noqa: E501
@property
- def inserted_primary_key(self):
+ def inserted_primary_key(self) -> Optional[Any]:
"""Return the primary key for the row just inserted.
The return value is a :class:`_result.Row` object representing
else:
return None
- def last_updated_params(self):
+ def last_updated_params(
+ self,
+ ) -> Union[
+ List[_MutableCoreSingleExecuteParams], _MutableCoreSingleExecuteParams
+ ]:
"""Return the collection of updated parameters from this
execution.
else:
return self.context.compiled_parameters[0]
- def last_inserted_params(self):
+ def last_inserted_params(
+ self,
+ ) -> Union[
+ List[_MutableCoreSingleExecuteParams], _MutableCoreSingleExecuteParams
+ ]:
"""Return the collection of inserted parameters from this
execution.
return self.context.compiled_parameters[0]
@property
- def returned_defaults_rows(self):
+ def returned_defaults_rows(
+ self,
+ ) -> Optional[Sequence[Row[Unpack[TupleAny]]]]:
"""Return a list of rows each containing the values of default
columns that were fetched using
the :meth:`.ValuesBase.return_defaults` feature.
"""
return self.context.returned_default_rows
- def splice_horizontally(
- self, other: CursorResult[Any]
- ) -> CursorResult[Any]:
+ def splice_horizontally(self, other: CursorResult[Any]) -> Self:
"""Return a new :class:`.CursorResult` that "horizontally splices"
together the rows of this :class:`.CursorResult` with that of another
:class:`.CursorResult`.
""" # noqa: E501
- clone: CursorResult[Any] = self._generate()
+ clone = self._generate()
assert clone is self # just to note
assert isinstance(other._metadata, CursorResultMetaData)
assert isinstance(self._metadata, CursorResultMetaData)
clone._reset_memoizations()
return clone
- def splice_vertically(self, other):
+ def splice_vertically(self, other: CursorResult[Any]) -> Self:
"""Return a new :class:`.CursorResult` that "vertically splices",
i.e. "extends", the rows of this :class:`.CursorResult` with that of
another :class:`.CursorResult`.
clone._reset_memoizations()
return clone
- def _rewind(self, rows):
+ def _rewind(self, rows: Any) -> Self:
"""rewind this result back to the given rowset.
this is used internally for the case where an :class:`.Insert`
return self
@property
- def returned_defaults(self):
+ def returned_defaults(self) -> Optional[Row[Unpack[TupleAny]]]:
"""Return the values of default columns that were fetched using
the :meth:`.ValuesBase.return_defaults` feature.
else:
return None
- def lastrow_has_defaults(self):
+ def lastrow_has_defaults(self) -> bool:
"""Return ``lastrow_has_defaults()`` from the underlying
:class:`.ExecutionContext`.
return self.context.lastrow_has_defaults()
- def postfetch_cols(self):
+ def postfetch_cols(self) -> Optional[Sequence[Column[Any]]]:
"""Return ``postfetch_cols()`` from the underlying
:class:`.ExecutionContext`.
)
return self.context.postfetch_cols
- def prefetch_cols(self):
+ def prefetch_cols(self) -> Optional[Sequence[Column[Any]]]:
"""Return ``prefetch_cols()`` from the underlying
:class:`.ExecutionContext`.
)
return self.context.prefetch_cols
- def supports_sane_rowcount(self):
+ def supports_sane_rowcount(self) -> bool:
"""Return ``supports_sane_rowcount`` from the dialect.
See :attr:`_engine.CursorResult.rowcount` for background.
return self.dialect.supports_sane_rowcount
- def supports_sane_multi_rowcount(self):
+ def supports_sane_multi_rowcount(self) -> bool:
"""Return ``supports_sane_multi_rowcount`` from the dialect.
See :attr:`_engine.CursorResult.rowcount` for background.
raise # not called
@property
- def lastrowid(self):
+ def lastrowid(self) -> int:
"""Return the 'lastrowid' accessor on the DBAPI cursor.
This is a DBAPI specific method and is only functional
self.cursor_strategy.handle_exception(self, self.cursor, e)
@property
- def returns_rows(self):
+ def returns_rows(self) -> bool:
"""True if this :class:`_engine.CursorResult` returns zero or more
rows.
return self._metadata.returns_rows
@property
- def is_insert(self):
+ def is_insert(self) -> bool:
"""True if this :class:`_engine.CursorResult` is the result
of a executing an expression language compiled
:func:`_expression.insert` construct.
"""
return self.context.isinsert
- def _fetchiter_impl(self):
+ def _fetchiter_impl(self) -> Iterator[Any]:
fetchone = self.cursor_strategy.fetchone
while True:
break
yield row
- def _fetchone_impl(self, hard_close=False):
+ def _fetchone_impl(self, hard_close: bool = False) -> Any:
return self.cursor_strategy.fetchone(self, self.cursor, hard_close)
- def _fetchall_impl(self):
+ def _fetchall_impl(self) -> Any:
return self.cursor_strategy.fetchall(self, self.cursor)
- def _fetchmany_impl(self, size=None):
+ def _fetchmany_impl(self, size: Optional[int] = None) -> Any:
return self.cursor_strategy.fetchmany(self, self.cursor, size)
- def _raw_row_iterator(self):
+ def _raw_row_iterator(self) -> Any:
return self._fetchiter_impl()
def merge(
)
return merged_result
- def close(self) -> Any:
+ def close(self) -> None:
"""Close this :class:`_engine.CursorResult`.
This closes out the underlying DBAPI cursor corresponding to the
projects / thirdparty / sqlalchemy / sqlalchemy.git / commitdiff
