fastapi-gsap/.venv/lib/python3.12/site-packages/sqlalchemy/engine/processors.py
Tyler J King e744336385 fix: capability enforcement, credential safety, atomic delegations, input validation
C-6: ConnectorRuntime enforces capability_mask per operation.
     READ-only ACs cannot invoke MUTATE operations (wipe, lock, retire).
C-7: AC validated against database (exists, active, not expired)
     before connector invocation.
C-9: Delegated AC capability bounded by delegator's capability.
C-10: Command counter uses atomic SQL increment with limit check.
M-23: expire_stale() uses same atomic SQL pattern.

H-1: Sensitive credential fields hidden from repr/logs via repr=False.
H-2: Stub backend requires ALLOW_STUB_CREDENTIALS=true to activate.
H-3: Kerberos backend raises CredentialResolutionError instead of
     returning stub ticket.
H-4: Chronicle INTENT emitted before execution, RESULT after.
H-5: device_id validated as UUID before Graph API URL interpolation.
H-8: ConnectorRuntime enforces governance for all connector invocations.

Signed-off-by: Tyler King <tking@guildhouse.dev>
2026-04-14 08:13:27 -04:00

61 lines
2.3 KiB
Python

# engine/processors.py
# Copyright (C) 2010-2026 the SQLAlchemy authors and contributors
# <see AUTHORS file>
# Copyright (C) 2010 Gaetan de Menten gdementen@gmail.com
#
# This module is part of SQLAlchemy and is released under
# the MIT License: https://www.opensource.org/licenses/mit-license.php
"""defines generic type conversion functions, as used in bind and result
processors.
They all share one common characteristic: None is passed through unchanged.
"""
from __future__ import annotations
import typing
from ._py_processors import str_to_datetime_processor_factory # noqa
from ..util._has_cy import HAS_CYEXTENSION
if typing.TYPE_CHECKING or not HAS_CYEXTENSION:
from ._py_processors import int_to_boolean as int_to_boolean
from ._py_processors import str_to_date as str_to_date
from ._py_processors import str_to_datetime as str_to_datetime
from ._py_processors import str_to_time as str_to_time
from ._py_processors import (
to_decimal_processor_factory as to_decimal_processor_factory,
)
from ._py_processors import to_float as to_float
from ._py_processors import to_str as to_str
else:
from sqlalchemy.cyextension.processors import (
DecimalResultProcessor,
)
from sqlalchemy.cyextension.processors import ( # noqa: F401
int_to_boolean as int_to_boolean,
)
from sqlalchemy.cyextension.processors import ( # noqa: F401,E501
str_to_date as str_to_date,
)
from sqlalchemy.cyextension.processors import ( # noqa: F401
str_to_datetime as str_to_datetime,
)
from sqlalchemy.cyextension.processors import ( # noqa: F401,E501
str_to_time as str_to_time,
)
from sqlalchemy.cyextension.processors import ( # noqa: F401,E501
to_float as to_float,
)
from sqlalchemy.cyextension.processors import ( # noqa: F401,E501
to_str as to_str,
)
def to_decimal_processor_factory(target_class, scale):
# Note that the scale argument is not taken into account for integer
# values in the C implementation while it is in the Python one.
# For example, the Python implementation might return
# Decimal('5.00000') whereas the C implementation will
# return Decimal('5'). These are equivalent of course.
return DecimalResultProcessor(target_class, "%%.%df" % scale).process