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extra stuff, pydantic v2 etc

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Andrew Morgan
2025-09-29 17:51:17 +01:00
parent e049a65e9e
commit c13b80d6da
9 changed files with 152 additions and 542 deletions
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poetry.lock generated
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@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand. # This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand.
[[package]] [[package]]
name = "annotated-types" name = "annotated-types"
@@ -39,7 +39,7 @@ description = "The ultimate Python library in building OAuth and OpenID Connect
optional = true optional = true
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@@ -435,7 +435,7 @@ description = "XML bomb protection for Python stdlib modules"
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@@ -1243,7 +1239,7 @@ description = "An LDAP3 auth provider for Synapse"
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@@ -1482,7 +1478,7 @@ description = "OpenTracing API for Python. See documentation at http://opentraci
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python-versions = ">=3.9" python-versions = ">=3.9"
groups = ["main"] groups = ["main"]
markers = "extra == \"all\" or extra == \"opentracing\"" markers = "extra == \"opentracing\" or extra == \"all\""
files = [ files = [
{file = "tornado-6.5-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:f81067dad2e4443b015368b24e802d0083fecada4f0a4572fdb72fc06e54a9a6"}, {file = "tornado-6.5-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:f81067dad2e4443b015368b24e802d0083fecada4f0a4572fdb72fc06e54a9a6"},
{file = "tornado-6.5-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:9ac1cbe1db860b3cbb251e795c701c41d343f06a96049d6274e7c77559117e41"}, {file = "tornado-6.5-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:9ac1cbe1db860b3cbb251e795c701c41d343f06a96049d6274e7c77559117e41"},
@@ -2866,7 +2841,7 @@ description = "non-blocking redis client for python"
optional = true optional = true
python-versions = "*" python-versions = "*"
groups = ["main"] groups = ["main"]
markers = "extra == \"all\" or extra == \"redis\"" markers = "extra == \"redis\" or extra == \"all\""
files = [ files = [
{file = "txredisapi-1.4.11-py3-none-any.whl", hash = "sha256:ac64d7a9342b58edca13ef267d4fa7637c1aa63f8595e066801c1e8b56b22d0b"}, {file = "txredisapi-1.4.11-py3-none-any.whl", hash = "sha256:ac64d7a9342b58edca13ef267d4fa7637c1aa63f8595e066801c1e8b56b22d0b"},
{file = "txredisapi-1.4.11.tar.gz", hash = "sha256:3eb1af99aefdefb59eb877b1dd08861efad60915e30ad5bf3d5bf6c5cedcdbc6"}, {file = "txredisapi-1.4.11.tar.gz", hash = "sha256:3eb1af99aefdefb59eb877b1dd08861efad60915e30ad5bf3d5bf6c5cedcdbc6"},
@@ -3112,7 +3087,7 @@ description = "An XML Schema validator and decoder"
optional = true optional = true
python-versions = ">=3.7" python-versions = ">=3.7"
groups = ["main"] groups = ["main"]
markers = "extra == \"all\" or extra == \"saml2\"" markers = "extra == \"saml2\" or extra == \"all\""
files = [ files = [
{file = "xmlschema-2.4.0-py3-none-any.whl", hash = "sha256:dc87be0caaa61f42649899189aab2fd8e0d567f2cf548433ba7b79278d231a4a"}, {file = "xmlschema-2.4.0-py3-none-any.whl", hash = "sha256:dc87be0caaa61f42649899189aab2fd8e0d567f2cf548433ba7b79278d231a4a"},
{file = "xmlschema-2.4.0.tar.gz", hash = "sha256:d74cd0c10866ac609e1ef94a5a69b018ad16e39077bc6393408b40c6babee793"}, {file = "xmlschema-2.4.0.tar.gz", hash = "sha256:d74cd0c10866ac609e1ef94a5a69b018ad16e39077bc6393408b40c6babee793"},
@@ -3256,4 +3231,4 @@ url-preview = ["lxml"]
[metadata] [metadata]
lock-version = "2.1" lock-version = "2.1"
python-versions = "^3.9.0" python-versions = "^3.9.0"
content-hash = "2e8ea085e1a0c6f0ac051d4bc457a96827d01f621b1827086de01a5ffa98cf79" content-hash = "8783bfa1c998c4cf854e173b3f6745b0e21e655e0c24a8f9cda4be5d7375dc19"

2
pyproject.toml
View File

@@ -224,7 +224,7 @@ matrix-common = "^1.3.0"
packaging = ">=20.0" packaging = ">=20.0"
# We support pydantic v1 and pydantic v2 via the pydantic.v1 compat module. # We support pydantic v1 and pydantic v2 via the pydantic.v1 compat module.
# See https://github.com/matrix-org/synapse/issues/15858 # See https://github.com/matrix-org/synapse/issues/15858
pydantic = ">=1.7.4, <3" pydantic = ">=2.0.0, <3"
# This is for building the rust components during "poetry install", which # This is for building the rust components during "poetry install", which
# currently ignores the `build-system.requires` directive (c.f. # currently ignores the `build-system.requires` directive (c.f.

478
scripts-dev/check_pydantic_models.py
View File

@@ -1,478 +0,0 @@
#! /usr/bin/env python
#
# This file is licensed under the Affero General Public License (AGPL) version 3.
#
# Copyright 2022 The Matrix.org Foundation C.I.C.
# Copyright (C) 2023 New Vector, Ltd
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# See the GNU Affero General Public License for more details:
# <https://www.gnu.org/licenses/agpl-3.0.html>.
#
# Originally licensed under the Apache License, Version 2.0:
# <http://www.apache.org/licenses/LICENSE-2.0>.
#
# [This file includes modifications made by New Vector Limited]
#
#
"""
A script which enforces that Synapse always uses strict types when defining a Pydantic
model.
Pydantic does not yet offer a strict mode, but it is planned for pydantic v2. See
https://github.com/pydantic/pydantic/issues/1098
https://pydantic-docs.helpmanual.io/blog/pydantic-v2/#strict-mode
until then, this script is a best effort to stop us from introducing type coersion bugs
(like the infamous stringy power levels fixed in room version 10).
"""
import argparse
import contextlib
import functools
import importlib
import logging
import os
import pkgutil
import sys
import textwrap
import traceback
import unittest.mock
from contextlib import contextmanager
from typing import (
Any,
Callable,
Dict,
Generator,
List,
Set,
Type,
TypeVar,
)
from parameterized import parameterized
from typing_extensions import ParamSpec
from synapse._pydantic_compat import (
BaseModel as PydanticBaseModel,
conbytes,
confloat,
conint,
constr,
get_args,
)
logger = logging.getLogger(__name__)
CONSTRAINED_TYPE_FACTORIES_WITH_STRICT_FLAG: List[Callable] = [
constr,
conbytes,
conint,
confloat,
]
TYPES_THAT_PYDANTIC_WILL_COERCE_TO = [
str,
bytes,
int,
float,
bool,
]
P = ParamSpec("P")
R = TypeVar("R")
class ModelCheckerException(Exception):
"""Dummy exception. Allows us to detect unwanted types during a module import."""
class MissingStrictInConstrainedTypeException(ModelCheckerException):
factory_name: str
def __init__(self, factory_name: str):
self.factory_name = factory_name
class FieldHasUnwantedTypeException(ModelCheckerException):
message: str
def __init__(self, message: str):
self.message = message
def make_wrapper(factory: Callable[P, R]) -> Callable[P, R]:
"""We patch `constr` and friends with wrappers that enforce strict=True."""
@functools.wraps(factory)
def wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
if "strict" not in kwargs:
raise MissingStrictInConstrainedTypeException(factory.__name__)
if not kwargs["strict"]:
raise MissingStrictInConstrainedTypeException(factory.__name__)
return factory(*args, **kwargs)
return wrapper
def field_type_unwanted(type_: Any) -> bool:
"""Very rough attempt to detect if a type is unwanted as a Pydantic annotation.
At present, we exclude types which will coerce, or any generic type involving types
which will coerce."""
logger.debug("Is %s unwanted?")
if type_ in TYPES_THAT_PYDANTIC_WILL_COERCE_TO:
logger.debug("yes")
return True
logger.debug("Maybe. Subargs are %s", get_args(type_))
rv = any(field_type_unwanted(t) for t in get_args(type_))
logger.debug("Conclusion: %s %s unwanted", type_, "is" if rv else "is not")
return rv
class PatchedBaseModel(PydanticBaseModel):
"""A patched version of BaseModel that inspects fields after models are defined.
We complain loudly if we see an unwanted type.
Beware: ModelField.type_ is presumably private; this is likely to be very brittle.
"""
@classmethod
def __init_subclass__(cls: Type[PydanticBaseModel], **kwargs: object):
for field in cls.__fields__.values():
# Note that field.type_ and field.outer_type are computed based on the
# annotation type, see pydantic.fields.ModelField._type_analysis
if field_type_unwanted(field.outer_type_):
# TODO: this only reports the first bad field. Can we find all bad ones
# and report them all?
raise FieldHasUnwantedTypeException(
f"{cls.__module__}.{cls.__qualname__} has field '{field.name}' "
f"with unwanted type `{field.outer_type_}`"
)
@contextmanager
def monkeypatch_pydantic() -> Generator[None, None, None]:
"""Patch pydantic with our snooping versions of BaseModel and the con* functions.
If the snooping functions see something they don't like, they'll raise a
ModelCheckingException instance.
"""
with contextlib.ExitStack() as patches:
# Most Synapse code ought to import the patched objects directly from
# `pydantic`. But we also patch their containing modules `pydantic.main` and
# `pydantic.types` for completeness.
patch_basemodel = unittest.mock.patch(
"synapse._pydantic_compat.BaseModel", new=PatchedBaseModel
)
patches.enter_context(patch_basemodel)
for factory in CONSTRAINED_TYPE_FACTORIES_WITH_STRICT_FLAG:
wrapper: Callable = make_wrapper(factory)
patch = unittest.mock.patch(
f"synapse._pydantic_compat.{factory.__name__}", new=wrapper
)
patches.enter_context(patch)
yield
def format_model_checker_exception(e: ModelCheckerException) -> str:
"""Work out which line of code caused e. Format the line in a human-friendly way."""
# TODO. FieldHasUnwantedTypeException gives better error messages. Can we ditch the
# patches of constr() etc, and instead inspect fields to look for ConstrainedStr
# with strict=False? There is some difficulty with the inheritance hierarchy
# because StrictStr < ConstrainedStr < str.
if isinstance(e, FieldHasUnwantedTypeException):
return e.message
elif isinstance(e, MissingStrictInConstrainedTypeException):
frame_summary = traceback.extract_tb(e.__traceback__)[-2]
return (
f"Missing `strict=True` from {e.factory_name}() call \n"
+ traceback.format_list([frame_summary])[0].lstrip()
)
else:
raise ValueError(f"Unknown exception {e}") from e
def lint() -> int:
"""Try to import all of Synapse and see if we spot any Pydantic type coercions.
Print any problems, then return a status code suitable for sys.exit."""
failures = do_lint()
if failures:
print(f"Found {len(failures)} problem(s)")
for failure in sorted(failures):
print(failure)
return os.EX_DATAERR if failures else os.EX_OK
def do_lint() -> Set[str]:
"""Try to import all of Synapse and see if we spot any Pydantic type coercions."""
failures = set()
with monkeypatch_pydantic():
logger.debug("Importing synapse")
try:
# TODO: make "synapse" an argument so we can target this script at
# a subpackage
module = importlib.import_module("synapse")
except ModelCheckerException as e:
logger.warning("Bad annotation found when importing synapse")
failures.add(format_model_checker_exception(e))
return failures
try:
logger.debug("Fetching subpackages")
module_infos = list(
pkgutil.walk_packages(module.__path__, f"{module.__name__}.")
)
except ModelCheckerException as e:
logger.warning("Bad annotation found when looking for modules to import")
failures.add(format_model_checker_exception(e))
return failures
for module_info in module_infos:
logger.debug("Importing %s", module_info.name)
try:
importlib.import_module(module_info.name)
except ModelCheckerException as e:
logger.warning(
"Bad annotation found when importing %s", module_info.name
)
failures.add(format_model_checker_exception(e))
return failures
def run_test_snippet(source: str) -> None:
"""Exec a snippet of source code in an isolated environment."""
# To emulate `source` being called at the top level of the module,
# the globals and locals we provide apparently have to be the same mapping.
#
# > Remember that at the module level, globals and locals are the same dictionary.
# > If exec gets two separate objects as globals and locals, the code will be
# > executed as if it were embedded in a class definition.
globals_: Dict[str, object]
locals_: Dict[str, object]
globals_ = locals_ = {}
exec(textwrap.dedent(source), globals_, locals_)
class TestConstrainedTypesPatch(unittest.TestCase):
def test_expression_without_strict_raises(self) -> None:
with monkeypatch_pydantic(), self.assertRaises(ModelCheckerException):
run_test_snippet(
"""
try:
from pydantic.v1 import constr
except ImportError:
from pydantic import constr
constr()
"""
)
def test_called_as_module_attribute_raises(self) -> None:
with monkeypatch_pydantic(), self.assertRaises(ModelCheckerException):
run_test_snippet(
"""
import pydantic
pydantic.constr()
"""
)
def test_wildcard_import_raises(self) -> None:
with monkeypatch_pydantic(), self.assertRaises(ModelCheckerException):
run_test_snippet(
"""
try:
from pydantic.v1 import *
except ImportError:
from pydantic import *
constr()
"""
)
def test_alternative_import_raises(self) -> None:
with monkeypatch_pydantic(), self.assertRaises(ModelCheckerException):
run_test_snippet(
"""
try:
from pydantic.v1.types import constr
except ImportError:
from pydantic.types import constr
constr()
"""
)
def test_alternative_import_attribute_raises(self) -> None:
with monkeypatch_pydantic(), self.assertRaises(ModelCheckerException):
run_test_snippet(
"""
try:
from pydantic.v1 import types as pydantic_types
except ImportError:
from pydantic import types as pydantic_types
pydantic_types.constr()
"""
)
def test_kwarg_but_no_strict_raises(self) -> None:
with monkeypatch_pydantic(), self.assertRaises(ModelCheckerException):
run_test_snippet(
"""
try:
from pydantic.v1 import constr
except ImportError:
from pydantic import constr
constr(min_length=10)
"""
)
def test_kwarg_strict_False_raises(self) -> None:
with monkeypatch_pydantic(), self.assertRaises(ModelCheckerException):
run_test_snippet(
"""
try:
from pydantic.v1 import constr
except ImportError:
from pydantic import constr
constr(strict=False)
"""
)
def test_kwarg_strict_True_doesnt_raise(self) -> None:
with monkeypatch_pydantic():
run_test_snippet(
"""
try:
from pydantic.v1 import constr
except ImportError:
from pydantic import constr
constr(strict=True)
"""
)
def test_annotation_without_strict_raises(self) -> None:
with monkeypatch_pydantic(), self.assertRaises(ModelCheckerException):
run_test_snippet(
"""
try:
from pydantic.v1 import constr
except ImportError:
from pydantic import constr
x: constr()
"""
)
def test_field_annotation_without_strict_raises(self) -> None:
with monkeypatch_pydantic(), self.assertRaises(ModelCheckerException):
run_test_snippet(
"""
try:
from pydantic.v1 import BaseModel, conint
except ImportError:
from pydantic import BaseModel, conint
class C:
x: conint()
"""
)
class TestFieldTypeInspection(unittest.TestCase):
@parameterized.expand(
[
("str",),
("bytes"),
("int",),
("float",),
("bool"),
("Optional[str]",),
("Union[None, str]",),
("List[str]",),
("List[List[str]]",),
("Dict[StrictStr, str]",),
("Dict[str, StrictStr]",),
("TypedDict('D', x=int)",),
]
)
def test_field_holding_unwanted_type_raises(self, annotation: str) -> None:
with monkeypatch_pydantic(), self.assertRaises(ModelCheckerException):
run_test_snippet(
f"""
from typing import *
try:
from pydantic.v1 import *
except ImportError:
from pydantic import *
class C(BaseModel):
f: {annotation}
"""
)
@parameterized.expand(
[
("StrictStr",),
("StrictBytes"),
("StrictInt",),
("StrictFloat",),
("StrictBool"),
("constr(strict=True, min_length=10)",),
("Optional[StrictStr]",),
("Union[None, StrictStr]",),
("List[StrictStr]",),
("List[List[StrictStr]]",),
("Dict[StrictStr, StrictStr]",),
("TypedDict('D', x=StrictInt)",),
]
)
def test_field_holding_accepted_type_doesnt_raise(self, annotation: str) -> None:
with monkeypatch_pydantic():
run_test_snippet(
f"""
from typing import *
try:
from pydantic.v1 import *
except ImportError:
from pydantic import *
class C(BaseModel):
f: {annotation}
"""
)
def test_field_holding_str_raises_with_alternative_import(self) -> None:
with monkeypatch_pydantic(), self.assertRaises(ModelCheckerException):
run_test_snippet(
"""
try:
from pydantic.v1.main import BaseModel
except ImportError:
from pydantic.main import BaseModel
class C(BaseModel):
f: str
"""
)
parser = argparse.ArgumentParser()
parser.add_argument("mode", choices=["lint", "test"], default="lint", nargs="?")
parser.add_argument("-v", "--verbose", action="store_true")
if __name__ == "__main__":
args = parser.parse_args(sys.argv[1:])
logging.basicConfig(
format="%(asctime)s %(name)s:%(lineno)d %(levelname)s %(message)s",
level=logging.DEBUG if args.verbose else logging.INFO,
)
# suppress logs we don't care about
logging.getLogger("xmlschema").setLevel(logging.WARNING)
if args.mode == "lint":
sys.exit(lint())
elif args.mode == "test":
unittest.main(argv=sys.argv[:1])

3
scripts-dev/lint.sh
View File

@@ -134,9 +134,6 @@ fi
# Ensure the formatting of Rust code. # Ensure the formatting of Rust code.
cargo-fmt cargo-fmt
# Ensure all Pydantic models use strict types.
./scripts-dev/check_pydantic_models.py lint
# Ensure type hints are correct. # Ensure type hints are correct.
mypy mypy

99
synapse/rest/client/keys.py
View File

@@ -552,6 +552,105 @@ class SigningKeyUploadServlet(RestServlet):
self.e2e_keys_handler = hs.get_e2e_keys_handler() self.e2e_keys_handler = hs.get_e2e_keys_handler()
self.auth_handler = hs.get_auth_handler() self.auth_handler = hs.get_auth_handler()
class SigningKeyUploadRequestBody(RequestBodyModel):
"""
The body of a `POST /_matrix/client/v3/keys/device_signing/upload` request.
Based on https://spec.matrix.org/v1.16/client-server-api/#post_matrixclientv3keysdevice_signingupload.
"""
class AuthenticationData(RequestBodyModel):
session: StrictStr
"""The value of the session key given by the homeserver."""
type: StrictStr
"""
The authentication type that the client is attempting to
complete.
May be omitted if session is given, and the client is reissuing a
request which it believes has been completed out-of-band (for
example, via the fallback mechanism; see
https://spec.matrix.org/v1.16/client-server-api/#fallback).
"""
# TODO: Other types...
# TODO: Make this a before type so that we can transform it into a single PublicKey?
@staticmethod
def validate_public_key(
public_key_object: Mapping[str, str],
) -> Mapping[str, str]:
"""Validates that the given mapping contains:
* Exactly one property.
* The name is in the form "x:y" and the value is in the form "y".
"""
if len(public_key_object) != 1:
raise ValueError("Exactly one public key may be provided")
algorithm_and_ub64_pk, unpadded_base64_public_key = next(
iter(public_key_object.items())
)
if (
":" not in algorithm_and_ub64_pk
or len(algorithm_and_ub64_pk.split(":")) != 2
):
raise ValueError(
"Property of public key is not in the form `<algorithm>:<unpadded_base64_public_key>`"
)
_algorithm, ub64_pk = algorithm_and_ub64_pk.split(":")
if ub64_pk != unpadded_base64_public_key:
raise ValueError(
"Unpadded base64 public key in property and value portions of public key object do not match"
)
return public_key_object
PublicKey = Annotated[
Mapping[StrictStr, StrictStr], AfterValidator(validate_public_key)
]
"""A public key.
The object must have exactly one property, whose name is in the form
`<algorithm>:<unpadded_base64_public_key>`, and whose value is the
unpadded base64 public key.
"""
class CrossSigningKey(RequestBodyModel):
keys: Mapping[StrictStr, StrictStr]
"""The public key."""
signatures: Optional[Mapping[UserIDType, Mapping[StrictStr, StrictStr]]]
# TODO: Optional for the master key, required for other keys. Subclass for master crosssigningkey?
"""Signatures of the key. Optional for the master key. Other keys must be signed by the user's master key."""
usage: List[StrictStr]
"""What the key is used for."""
user_id: UserIDType
"""The ID of the user the key belongs to."""
auth: AuthenticationData
"""Additional authentication information for the user-interactive authentication API."""
master_key: Optional[CrossSigningKey]
"""The user's master key."""
self_signing_key: Optional[CrossSigningKey]
"""
The user's self-signing key. Must be signed by the accompanying
master key, or by the user's most recently uploaded master key if no
master key is included in the request.
"""
user_signing_key: Optional[CrossSigningKey]
"""
The user's user-signing key. Must be signed by the accompanying master
key, or by the user's most recently uploaded master key if no master key
is included in the request.
"""
@interactive_auth_handler @interactive_auth_handler
async def on_POST(self, request: SynapseRequest) -> Tuple[int, JsonDict]: async def on_POST(self, request: SynapseRequest) -> Tuple[int, JsonDict]:
requester = await self.auth.get_user_by_req(request) requester = await self.auth.get_user_by_req(request)

13
synapse/types/handlers/sliding_sync.py
View File

@@ -36,8 +36,8 @@ from typing import (
) )
import attr import attr
from pydantic import ConfigDict
from synapse._pydantic_compat import Extra
from synapse.api.constants import EventTypes from synapse.api.constants import EventTypes
from synapse.events import EventBase from synapse.events import EventBase
from synapse.types import ( from synapse.types import (
@@ -71,14 +71,9 @@ class SlidingSyncConfig(SlidingSyncBody):
user: UserIDType user: UserIDType
requester: Requester requester: Requester
# Pydantic config model_config = ConfigDict(
class Config: arbitrary_types_allowed=True
# By default, ignore fields that we don't recognise. )
extra = Extra.ignore
# By default, don't allow fields to be reassigned after parsing.
allow_mutation = False
# Allow custom types like `UserID` to be used in the model
arbitrary_types_allowed = True
class OperationType(Enum): class OperationType(Enum):

18
synapse/types/rest/__init__.py
View File

@@ -18,8 +18,24 @@
# [This file includes modifications made by New Vector Limited] # [This file includes modifications made by New Vector Limited]
# #
# #
from pydantic import ConfigDict
from synapse.util.pydantic_models import ParseModel from synapse.util.pydantic_models import ParseModel
class RequestBodyModel(ParseModel): class RequestBodyModel(ParseModel):
pass model_config = ConfigDict(
# Allow custom types like `UserIDType` to be used in the model
arbitrary_types_allowed=True,
# By default, do not allow coercing field types.
#
# This saves subclassing models from needing to write i.e. "StrictStr"
# instead of "str" in their fields.
#
# To revert to "lax" mode for a given field, use:
#
# ```
# my_field: Annotated[str, Field(strict=False)]
# ````
strict=True,
)

6
synapse/types/rest/client/__init__.py
View File

@@ -20,6 +20,8 @@
# #
from typing import TYPE_CHECKING, Dict, List, Optional, Tuple, Union from typing import TYPE_CHECKING, Dict, List, Optional, Tuple, Union
from pydantic import ConfigDict
from synapse._pydantic_compat import ( from synapse._pydantic_compat import (
Extra, Extra,
Field, Field,
@@ -123,6 +125,10 @@ class SlidingSyncBody(RequestBodyModel):
extensions: Extensions API. A map of extension key to extension config. extensions: Extensions API. A map of extension key to extension config.
""" """
model_config = ConfigDict(
arbitrary_types_allowed=True
)
class CommonRoomParameters(RequestBodyModel): class CommonRoomParameters(RequestBodyModel):
""" """
Common parameters shared between the sliding window and room subscription APIs. Common parameters shared between the sliding window and room subscription APIs.

2
synapse/util/pydantic_models.py
View File

@@ -40,7 +40,7 @@ class ParseModel(BaseModel):
# By default, ignore fields that we don't recognise. # By default, ignore fields that we don't recognise.
extra = Extra.ignore extra = Extra.ignore
# By default, don't allow fields to be reassigned after parsing. # By default, don't allow fields to be reassigned after parsing.
allow_mutation = False frozen = True
class AnyEventId(StrictStr): class AnyEventId(StrictStr):