diff --git a/.github/workflows/test_and_publish.yaml b/.github/workflows/test_and_publish.yaml index 5980b7ad..b6d26cf5 100644 --- a/.github/workflows/test_and_publish.yaml +++ b/.github/workflows/test_and_publish.yaml @@ -13,7 +13,7 @@ on: env: DEFAULT_LINUX: "slim" - DEFAULT_PYTHON: "3.12" + DEFAULT_PYTHON: "3.13" DEFAULT_SCHEMAS: "pydantic" jobs: @@ -22,7 +22,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python: [ "3.8", "3.9", "3.10", "3.11", "3.12" ] + python: [ "3.9", "3.10", "3.11", "3.12", "3.13" ] container: image: python:${{ matrix.python }} steps: @@ -101,7 +101,7 @@ jobs: strategy: matrix: linux: ["slim"] - python: ["3.8", "3.9", "3.10", "3.11", "3.12"] + python: ["3.9", "3.10", "3.11", "3.12", "3.13"] schemas: ["pydantic", "marshmallow", "typesystem"] steps: - name: Check out the repo diff --git a/.github/workflows/test_pull_request_branch.yaml b/.github/workflows/test_pull_request_branch.yaml index b1816e9b..dc417bb4 100644 --- a/.github/workflows/test_pull_request_branch.yaml +++ b/.github/workflows/test_pull_request_branch.yaml @@ -10,7 +10,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python: ["3.8", "3.9", "3.10", "3.11", "3.12"] + python: ["3.9", "3.10", "3.11", "3.12", "3.13"] container: image: python:${{ matrix.python }} steps: diff --git a/flama/asgi.py b/flama/asgi.py index b4818df0..e962bdbd 100644 --- a/flama/asgi.py +++ b/flama/asgi.py @@ -28,11 +28,19 @@ class URLComponent(Component): def resolve(self, scope: types.Scope) -> types.URL: host, port = scope.get("server", ["", None]) scheme = scope.get("scheme", "") + path = scope.get("path", "") + query = scope.get("query_string", b"").decode() if (scheme == "http" and port in (80, None)) or (scheme == "https" and port in (443, None)): port = None - return types.URL(f"{scheme}://{host}{f':{port}' if port else ''}{scope.get('raw_path', b'').decode()}") + if port: + host += f":{port}" + + if query: + path += f"?{query}" + + return types.URL(f"{scheme}://{host}{path}") class SchemeComponent(Component): diff --git a/flama/authentication/components.py b/flama/authentication/components.py index 62266828..0f021541 100644 --- a/flama/authentication/components.py +++ b/flama/authentication/components.py @@ -1,32 +1,27 @@ import http import logging +import typing as t from flama import Component -from flama.authentication import exceptions, jwt +from flama.authentication import exceptions, jwt, types from flama.exceptions import HTTPException from flama.types import Headers from flama.types.http import Cookies logger = logging.getLogger(__name__) -__all__ = ["JWTComponent"] +__all__ = ["AccessTokenComponent", "RefreshTokenComponent"] -class JWTComponent(Component): - def __init__( - self, - secret: bytes, - *, - header_key: str = "Authorization", - header_prefix: str = "Bearer", - cookie_key: str = "flama_authentication", - ): +class BaseTokenComponent(Component): + def __init__(self, secret: bytes, *, header_key: str, header_prefix: str, cookie_key: str): self.secret = secret self.header_key = header_key self.header_prefix = header_prefix self.cookie_key = cookie_key def _token_from_cookies(self, cookies: Cookies) -> bytes: + print(f"ERROR: {cookies}") try: token = cookies[self.cookie_key]["value"] except KeyError: @@ -36,6 +31,7 @@ def _token_from_cookies(self, cookies: Cookies) -> bytes: return token.encode() def _token_from_header(self, headers: Headers) -> bytes: + print(f"ERROR: {headers}") try: header_prefix, token = headers[self.header_key].split() except KeyError: @@ -55,7 +51,7 @@ def _token_from_header(self, headers: Headers) -> bytes: return token.encode() - def resolve(self, headers: Headers, cookies: Cookies) -> jwt.JWT: + def _resolve_token(self, headers: Headers, cookies: Cookies) -> jwt.JWT: try: try: encoded_token = self._token_from_header(headers) @@ -76,3 +72,33 @@ def resolve(self, headers: Headers, cookies: Cookies) -> jwt.JWT: ) return token + + +class AccessTokenComponent(BaseTokenComponent): + def __init__( + self, + secret: bytes, + *, + header_prefix: str = "Bearer", + header_key: str = "access_token", + cookie_key: str = "access_token", + ): + super().__init__(secret, header_prefix=header_prefix, header_key=header_key, cookie_key=cookie_key) + + def resolve(self, headers: Headers, cookies: Cookies) -> types.AccessToken: + return t.cast(types.AccessToken, self._resolve_token(headers, cookies)) + + +class RefreshTokenComponent(BaseTokenComponent): + def __init__( + self, + secret: bytes, + *, + header_prefix: str = "Bearer", + header_key: str = "refresh_token", + cookie_key: str = "refresh_token", + ): + super().__init__(secret, header_prefix=header_prefix, header_key=header_key, cookie_key=cookie_key) + + def resolve(self, headers: Headers, cookies: Cookies) -> types.RefreshToken: + return t.cast(types.RefreshToken, self._resolve_token(headers, cookies)) diff --git a/flama/authentication/jwt/__init__.py b/flama/authentication/jwt/__init__.py index f2d37798..b6d8df8e 100644 --- a/flama/authentication/jwt/__init__.py +++ b/flama/authentication/jwt/__init__.py @@ -1,3 +1,3 @@ -from flama.authentication.jwt.jwt import JWT - -__all__ = ["JWT"] +from flama.authentication.components import * # noqa +from flama.authentication.jwt.jwt import JWT # noqa +from flama.authentication.types import * # noqa diff --git a/flama/authentication/middlewares.py b/flama/authentication/middlewares.py index 6d9552e2..53cad0f4 100644 --- a/flama/authentication/middlewares.py +++ b/flama/authentication/middlewares.py @@ -2,7 +2,7 @@ import logging import typing as t -from flama.authentication.jwt.jwt import JWT +from flama import authentication from flama.exceptions import HTTPException from flama.http import APIErrorResponse, Request @@ -44,7 +44,9 @@ async def _get_response(self, scope: "types.Scope", receive: "types.Receive") -> return self.app try: - token: JWT = await app.injector.resolve(JWT).value({"request": Request(scope, receive=receive)}) + token: authentication.AccessToken = await app.injector.resolve(authentication.AccessToken).value( + {"request": Request(scope, receive=receive)} + ) except HTTPException as e: logger.debug("JWT error: %s", e.detail) return APIErrorResponse(status_code=e.status_code, detail=e.detail) diff --git a/flama/authentication/types.py b/flama/authentication/types.py new file mode 100644 index 00000000..2bacb5ef --- /dev/null +++ b/flama/authentication/types.py @@ -0,0 +1,8 @@ +import typing as t + +from flama.authentication.jwt import JWT + +__all__ = ["AccessToken", "RefreshToken"] + +AccessToken = t.NewType("AccessToken", JWT) +RefreshToken = t.NewType("RefreshToken", JWT) diff --git a/flama/client.py b/flama/client.py index 59199f07..056f534d 100644 --- a/flama/client.py +++ b/flama/client.py @@ -119,7 +119,7 @@ def __init__( self.lifespan = LifespanContextManager(app) if app else None self.app = app - kwargs["app"] = app + kwargs.setdefault("transport", httpx.ASGITransport(app=app) if app else None) # type: ignore kwargs.setdefault("base_url", "http://localapp") kwargs["headers"] = {"user-agent": f"flama/{importlib.metadata.version('flama')}", **kwargs.get("headers", {})} diff --git a/flama/concurrency.py b/flama/concurrency.py index 044a9b8f..a7d52079 100644 --- a/flama/concurrency.py +++ b/flama/concurrency.py @@ -4,16 +4,6 @@ import sys import typing as t -if sys.version_info < (3, 9): # PORT: Remove when stop supporting 3.8 # pragma: no cover - import contextvars - - async def to_thread(func, /, *args, **kwargs): - return await asyncio.get_running_loop().run_in_executor( - None, functools.partial(contextvars.copy_context().run, func, *args, **kwargs) - ) - - asyncio.to_thread = to_thread # pyright: ignore - if sys.version_info < (3, 10): # PORT: Remove when stop supporting 3.9 # pragma: no cover from typing_extensions import ParamSpec, TypeGuard @@ -39,7 +29,7 @@ def is_async( while isinstance(obj, functools.partial): obj = obj.func - return asyncio.iscoroutinefunction(obj) or (callable(obj) and asyncio.iscoroutinefunction(obj.__call__)) + return asyncio.iscoroutinefunction(obj) or asyncio.iscoroutinefunction(getattr(obj, "__call__")) async def run( @@ -58,9 +48,7 @@ async def run( if is_async(func): return await func(*args, **kwargs) - return t.cast( - R, await asyncio.to_thread(func, *args, **kwargs) # PORT: Remove when stop supporting 3.8 # type: ignore - ) + return t.cast(R, await asyncio.to_thread(func, *args, **kwargs)) if sys.version_info < (3, 11): # PORT: Remove when stop supporting 3.10 # pragma: no cover diff --git a/flama/exceptions.py b/flama/exceptions.py index e6097bf0..3e4c8fbb 100644 --- a/flama/exceptions.py +++ b/flama/exceptions.py @@ -14,6 +14,8 @@ "WebSocketException", "NotFoundException", "MethodNotAllowedException", + "FrameworkNotInstalled", + "FrameworkVersionWarning", ] @@ -139,3 +141,15 @@ def __repr__(self) -> str: params = ("path", "params", "method", "allowed") formatted_params = ", ".join([f"{x}={getattr(self, x)}" for x in params if getattr(self, x)]) return f"{self.__class__.__name__}({formatted_params})" + + +class FrameworkNotInstalled(Exception): + """Cannot find an installed version of the framework.""" + + ... + + +class FrameworkVersionWarning(Warning): + """Warning for when a framework version does not match.""" + + ... diff --git a/flama/models/models/pytorch.py b/flama/models/models/pytorch.py index 68c02097..63099e41 100644 --- a/flama/models/models/pytorch.py +++ b/flama/models/models/pytorch.py @@ -11,7 +11,8 @@ class PyTorchModel(Model): def predict(self, x: t.List[t.List[t.Any]]) -> t.Any: - assert torch is not None, "`torch` must be installed to use PyTorchModel." + if torch is None: # noqa + raise exceptions.FrameworkNotInstalled("pytorch") try: return self.model(torch.Tensor(x)).tolist() diff --git a/flama/models/models/sklearn.py b/flama/models/models/sklearn.py index 0f8ddd88..4cb8d0c6 100644 --- a/flama/models/models/sklearn.py +++ b/flama/models/models/sklearn.py @@ -3,9 +3,17 @@ from flama import exceptions from flama.models.base import Model +try: + import sklearn # type: ignore +except Exception: # pragma: no cover + sklearn = None + class SKLearnModel(Model): def predict(self, x: t.List[t.List[t.Any]]) -> t.Any: + if sklearn is None: # noqa + raise exceptions.FrameworkNotInstalled("scikit-learn") + try: return self.model.predict(x).tolist() except ValueError as e: diff --git a/flama/models/models/tensorflow.py b/flama/models/models/tensorflow.py index c242de77..cfbfb056 100644 --- a/flama/models/models/tensorflow.py +++ b/flama/models/models/tensorflow.py @@ -3,6 +3,11 @@ from flama import exceptions from flama.models.base import Model +try: + import numpy as np # type: ignore +except Exception: # pragma: no cover + np = None + try: import tensorflow as tf # type: ignore except Exception: # pragma: no cover @@ -11,9 +16,13 @@ class TensorFlowModel(Model): def predict(self, x: t.List[t.List[t.Any]]) -> t.Any: - assert tf is not None, "`tensorflow` must be installed to use TensorFlowModel." + if np is None: # noqa + raise exceptions.FrameworkNotInstalled("numpy") + + if tf is None: # noqa + raise exceptions.FrameworkNotInstalled("tensorflow") try: - return self.model.predict(x).tolist() + return self.model.predict(np.array(x)).tolist() except (tf.errors.OpError, ValueError): # type: ignore raise exceptions.HTTPException(status_code=400) diff --git a/flama/resources/crud.py b/flama/resources/crud.py index ff6c5087..938c2bd7 100644 --- a/flama/resources/crud.py +++ b/flama/resources/crud.py @@ -25,8 +25,8 @@ def _add_create( async def create( self, worker: FlamaWorker, - resource: types.Schema[rest_schemas.input.schema], - ) -> types.Schema[rest_schemas.output.schema]: + resource: types.Schema[rest_schemas.input.schema], # type: ignore + ) -> types.Schema[rest_schemas.output.schema]: # type: ignore if resource.get(rest_model.primary_key.name) is None: resource.pop(rest_model.primary_key.name, None) @@ -76,8 +76,8 @@ def _add_retrieve( async def retrieve( self, worker: FlamaWorker, - resource_id: rest_model.primary_key.type, - ) -> types.Schema[rest_schemas.output.schema]: + resource_id: rest_model.primary_key.type, # type: ignore + ) -> types.Schema[rest_schemas.output.schema]: # type: ignore try: async with worker: repository = worker.repositories[self._meta.name] @@ -118,9 +118,9 @@ def _add_update( async def update( self, worker: FlamaWorker, - resource_id: rest_model.primary_key.type, - resource: types.Schema[rest_schemas.input.schema], - ) -> types.Schema[rest_schemas.output.schema]: + resource_id: rest_model.primary_key.type, # type: ignore + resource: types.Schema[rest_schemas.input.schema], # type: ignore + ) -> types.Schema[rest_schemas.output.schema]: # type: ignore resource[rest_model.primary_key.name] = resource_id async with worker: try: @@ -172,9 +172,9 @@ def _add_partial_update( async def partial_update( self, worker: FlamaWorker, - resource_id: rest_model.primary_key.type, - resource: types.PartialSchema[rest_schemas.input.schema], - ) -> types.Schema[rest_schemas.output.schema]: + resource_id: rest_model.primary_key.type, # type: ignore + resource: types.PartialSchema[rest_schemas.input.schema], # type: ignore + ) -> types.Schema[rest_schemas.output.schema]: # type: ignore resource[rest_model.primary_key.name] = resource_id async with worker: repository = worker.repositories[self._meta.name] @@ -217,7 +217,7 @@ def _add_delete( cls, name: str, verbose_name: str, rest_model: data_structures.Model, **kwargs ) -> t.Dict[str, t.Any]: @resource_method("/{resource_id}/", methods=["DELETE"], name="delete") - async def delete(self, worker: FlamaWorker, resource_id: rest_model.primary_key.type): + async def delete(self, worker: FlamaWorker, resource_id: rest_model.primary_key.type): # type: ignore try: async with worker: repository = worker.repositories[self._meta.name] @@ -258,7 +258,7 @@ async def list( order_by: t.Optional[str] = None, order_direction: str = "asc", **kwargs, - ) -> types.Schema[rest_schemas.output.schema]: + ) -> types.Schema[rest_schemas.output.schema]: # type: ignore async with worker: repository = worker.repositories[self._meta.name] return [ # type: ignore[return-value] @@ -295,8 +295,8 @@ def _add_replace( async def replace( self, worker: FlamaWorker, - resources: t.List[types.Schema[rest_schemas.input.schema]], - ) -> t.List[types.Schema[rest_schemas.output.schema]]: + resources: t.List[types.Schema[rest_schemas.input.schema]], # type: ignore + ) -> t.List[types.Schema[rest_schemas.output.schema]]: # type: ignore async with worker: repository = worker.repositories[self._meta.name] await repository.drop() @@ -338,8 +338,8 @@ def _add_partial_replace( async def partial_replace( self, worker: FlamaWorker, - resources: t.List[types.Schema[rest_schemas.input.schema]], - ) -> t.List[types.Schema[rest_schemas.output.schema]]: + resources: t.List[types.Schema[rest_schemas.input.schema]], # type: ignore + ) -> t.List[types.Schema[rest_schemas.output.schema]]: # type: ignore async with worker: repository = worker.repositories[self._meta.name] await repository.drop( @@ -375,7 +375,7 @@ class DropMixin: @classmethod def _add_drop(cls, name: str, verbose_name: str, **kwargs) -> t.Dict[str, t.Any]: @resource_method("/", methods=["DELETE"], name="drop") - async def drop(self, worker: FlamaWorker) -> types.Schema[schemas.schemas.DropCollection]: + async def drop(self, worker: FlamaWorker) -> types.Schema[schemas.schemas.DropCollection]: # type: ignore async with worker: repository = worker.repositories[self._meta.name] result = await repository.drop() diff --git a/flama/serialize/data_structures.py b/flama/serialize/data_structures.py index 1c71f06d..3f29a4cd 100644 --- a/flama/serialize/data_structures.py +++ b/flama/serialize/data_structures.py @@ -17,8 +17,8 @@ import weakref from pathlib import Path +from flama import exceptions from flama.serialize.base import Serializer -from flama.serialize.exceptions import FrameworkVersionWarning from flama.serialize.types import Framework if sys.version_info < (3, 11): # PORT: Remove when stop supporting 3.10 # pragma: no cover @@ -284,7 +284,7 @@ def from_dict(cls, data: t.Dict[str, t.Any], **kwargs) -> "ModelArtifact": warnings.warn( f"Model was built using {metadata.framework.lib.value} '{metadata.framework.version}' but detected " f"version '{serializer.version()}' installed. This may cause unexpected behavior.", - FrameworkVersionWarning, + exceptions.FrameworkVersionWarning, ) return cls(model=model, meta=metadata, artifacts=artifacts) @@ -327,7 +327,7 @@ def dump( :param kwargs: Keyword arguments passed to library dump method. """ logger.info("Dump model '%s'", path) - with tarfile.open(path, f"w:{Compression[compression].compression_format}") as tar: + with tarfile.open(path, f"w:{Compression[compression].compression_format}") as tar: # type: ignore if self.artifacts: for name, path in self.artifacts.items(): tar.add(path, f"artifacts/{name}") diff --git a/flama/serialize/exceptions.py b/flama/serialize/exceptions.py deleted file mode 100644 index aed00404..00000000 --- a/flama/serialize/exceptions.py +++ /dev/null @@ -1,13 +0,0 @@ -__all__ = ["FrameworkNotInstalled", "FrameworkVersionWarning"] - - -class FrameworkNotInstalled(Exception): - """Cannot find an installed version of the framework.""" - - ... - - -class FrameworkVersionWarning(Warning): - """Warning for when a framework version does not match.""" - - ... diff --git a/flama/serialize/serializers/pytorch.py b/flama/serialize/serializers/pytorch.py index c9ebabe8..fdf5a754 100644 --- a/flama/serialize/serializers/pytorch.py +++ b/flama/serialize/serializers/pytorch.py @@ -3,7 +3,8 @@ import io import typing as t -from flama.serialize import exceptions, types +from flama import exceptions +from flama.serialize import types from flama.serialize.base import Serializer try: diff --git a/flama/serialize/serializers/sklearn.py b/flama/serialize/serializers/sklearn.py index 7639720f..ebcc4c54 100644 --- a/flama/serialize/serializers/sklearn.py +++ b/flama/serialize/serializers/sklearn.py @@ -6,7 +6,8 @@ import typing as t import warnings -from flama.serialize import exceptions, types +from flama import exceptions +from flama.serialize import types from flama.serialize.base import Serializer if t.TYPE_CHECKING: diff --git a/flama/serialize/serializers/tensorflow.py b/flama/serialize/serializers/tensorflow.py index 0b993bb5..5918dee7 100644 --- a/flama/serialize/serializers/tensorflow.py +++ b/flama/serialize/serializers/tensorflow.py @@ -1,12 +1,11 @@ import codecs import importlib.metadata -import io import json -import tarfile +import tempfile import typing as t -from tempfile import TemporaryDirectory -from flama.serialize import exceptions, types +from flama import exceptions +from flama.serialize import types from flama.serialize.base import Serializer try: @@ -25,22 +24,17 @@ def dump(self, obj: t.Any, **kwargs) -> bytes: if tf is None: # noqa raise exceptions.FrameworkNotInstalled("tensorflow") - buffer = io.BytesIO() - with TemporaryDirectory() as saved_model_dir, tarfile.open(fileobj=buffer, mode="w") as model_tar: - tf.keras.models.save_model(obj, saved_model_dir) # type: ignore - model_tar.add(saved_model_dir, arcname="") - buffer.seek(0) - return codecs.encode(buffer.read(), "base64") + with tempfile.NamedTemporaryFile(mode="rb", suffix=".keras") as tmp_file: + tf.keras.models.save_model(obj, tmp_file.name) # type: ignore + return codecs.encode(tmp_file.read(), "base64") def load(self, model: bytes, **kwargs) -> t.Any: if tf is None: # noqa raise exceptions.FrameworkNotInstalled("tensorflow") - with TemporaryDirectory() as saved_model_dir, tarfile.open( - fileobj=io.BytesIO(codecs.decode(model, "base64")), mode="r:" - ) as model_tar: - model_tar.extractall(saved_model_dir) - return tf.keras.models.load_model(saved_model_dir) # type: ignore + with tempfile.NamedTemporaryFile(mode="wb", suffix=".keras") as tmp_file: + tmp_file.write(codecs.decode(model, "base64")) + return tf.keras.models.load_model(tmp_file.name) # type: ignore def info(self, model: t.Any) -> t.Optional["JSONSchema"]: model_info: "JSONSchema" = json.loads(model.to_json()) diff --git a/poetry.lock b/poetry.lock index eaa78ac3..d2a4cc2c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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[package.dependencies] setuptools = "*" [package.extras] -docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx-rtd-theme"] -test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] -testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] +docs = ["Sphinx", "furo", "repoze.sphinx.autointerface"] +test = ["coverage[toml]", "zope.event", "zope.testing"] +testing = ["coverage[toml]", "zope.event", "zope.testing"] [extras] client = ["httpx"] @@ -3414,5 +3534,5 @@ typesystem = ["typesystem"] [metadata] lock-version = "2.0" -python-versions = ">=3.8,<3.13" -content-hash = "685e249f0feb4cee69639d74d2611c8fd594ab84d1832a0080c7fb56415c32c0" +python-versions = ">=3.9,<3.14" +content-hash = "e26cf9fec62daadc80b08771862f90aaad70a180d0c349f992c485e835b0c15d" diff --git a/pyproject.toml b/pyproject.toml index 88ae1e8a..33bb473c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -32,10 +32,10 @@ include = ["flama/py.typed", "flama/templates/**/*"] exclude = [] [tool.poetry.dependencies] -python = ">=3.8,<3.13" -starlette = ">=0.31.0,<1.0.0" +python = ">=3.9,<3.14" +starlette = ">=0.31,<1.0.0" click = "^8.1" -uvicorn = { version = ">=0.23.2,<1.0.0", extras = ["standard"] } +uvicorn = { version = ">=0.23,<1.0.0", extras = ["standard"] } Jinja2 = "^3.1.2" pyyaml = "^6.0" typing-extensions = { version = "^4.4", python = "<3.10" } @@ -44,7 +44,7 @@ marshmallow = { version = "^3.0", optional = true } apispec = { version = "^6.0", optional = true } typesystem = { version = "^0.4.1", optional = true } SQLAlchemy = { version = "^2.0", extras = ["asyncio"], optional = true } -httpx = { version = "^0.25", optional = true} +httpx = { version = ">=0.25,<1.0.0", optional = true} [tool.poetry.extras] pydantic = ["pydantic"] @@ -71,13 +71,12 @@ ruff = "^0.0.292" black = "^23.9" pre-commit = "^3.4" python-multipart = "^0.0.6" -uvicorn = { version = ">=0.23.2,<1.0.0", extras = ["standard"] } -httpx = "^0.25" +httpx = ">=0.25,<1.0.0" aiosqlite = ">=0.19.0,<1.0.0" Faker = "^8.2" SQLAlchemy = { version = "^2.0", extras = ["asyncio"] } gevent = "^23.9.1" -pyright = "^1.1.370" +pyright = "^1.1.386" [tool.poetry.group.schemas] optional = true @@ -91,10 +90,10 @@ typesystem = "^0.4" [tool.poetry.group.ml] optional = true -[tool.poetry.group.ml.dependencies] -scikit-learn = { version = "~1.3.2", python = ">=3.9" } -tensorflow-cpu = { version = "~2.15.0", platform = "linux", python = ">=3.9,<3.12" } -torch = { version = "~2.1.2", python = ">=3.8,<3.12"} +[tool.poetry.group.ml.dependencies] # Only testable on linux and before 3.13, because numpy old versions are not providing binaries +scikit-learn = { version = "~1.5.2", platform = "linux", python = ">=3.9,<3.13" } +tensorflow-cpu = { version = "~2.17.0", platform = "linux", python = ">=3.9,<3.13" } +torch = { version = "~2.5.0", platform = "linux", python = ">=3.9,<3.13" } [tool.black] line-length = 120 diff --git a/scripts/docker_push b/scripts/docker_push index 5de8181c..5c87d610 100755 --- a/scripts/docker_push +++ b/scripts/docker_push @@ -2,7 +2,7 @@ set -e LINUX_VERSIONS=("slim") -PYTHON_VERSIONS=("3.8" "3.9" "3.10" "3.11", "3.12") +PYTHON_VERSIONS=("3.9" "3.10" "3.11" "3.12" "3.13") SCHEMA_LIBS=("pydantic" "marshmallow" "typesystem") DEFAULT_LINUX="slim" diff --git a/tests/authentication/test_components.py b/tests/authentication/test_components.py index 8ea2baeb..0f6c89da 100644 --- a/tests/authentication/test_components.py +++ b/tests/authentication/test_components.py @@ -2,9 +2,7 @@ import pytest -from flama import Flama -from flama.authentication.components import JWTComponent -from flama.authentication.jwt.jwt import JWT +from flama import Flama, authentication TOKEN = ( b"eyJhbGciOiAiSFMyNTYiLCAidHlwIjogIkpXVCJ9.eyJkYXRhIjogeyJmb28iOiAiYmFyIn0sICJpYXQiOiAwfQ==.J3zdedMZSFNOimstjJat0V" @@ -12,47 +10,135 @@ ) -class TestCaseJWTComponent: - @pytest.fixture(scope="function") - def secret(self): - return uuid.UUID(int=0) +@pytest.fixture(scope="function") +def secret(): + return uuid.UUID(int=0) - @pytest.fixture(scope="function") - def app(self, secret): - return Flama( - schema=None, - docs=None, - components=[ - JWTComponent( - secret=secret.bytes, - header_key="Authorization", - header_prefix="Bearer", - cookie_key="flama_authentication", - ) - ], - ) +@pytest.fixture(scope="function") +def app(secret): + return Flama( + schema=None, + docs=None, + components=[ + authentication.AccessTokenComponent(secret=secret.bytes), + authentication.RefreshTokenComponent(secret=secret.bytes), + ], + ) + + +class TestCaseAccessTokenComponent: + @pytest.fixture(scope="function", autouse=True) + def add_endpoints(self, app): + @app.get("/") + def access_token(token: authentication.AccessToken): + return token.asdict() + + @pytest.mark.parametrize( + ["headers", "cookies", "status_code", "result"], + ( + pytest.param( + {"access_token": f"Bearer {TOKEN.decode()}"}, + None, + 200, + {"header": {"alg": "HS256", "typ": "JWT"}, "payload": {"data": {"foo": "bar"}, "iat": 0}}, + id="headers", + ), + pytest.param( + {"access_token": "token"}, + None, + 400, + { + "detail": { + "description": "Authentication header must be 'access_token: Bearer '", + "error": "JWTException", + }, + "error": "HTTPException", + "status_code": 400, + }, + id="header_wrong_format", + ), + pytest.param( + {"access_token": "Foo token"}, + None, + 400, + { + "detail": { + "description": "Authentication header must be 'access_token: Bearer '", + "error": "JWTException", + }, + "error": "HTTPException", + "status_code": 400, + }, + id="header_wrong_prefix", + ), + pytest.param( + None, + {"access_token": TOKEN.decode()}, + 200, + {"header": {"alg": "HS256", "typ": "JWT"}, "payload": {"data": {"foo": "bar"}, "iat": 0}}, + id="cookies", + ), + pytest.param( + None, + None, + 401, + {"detail": "Unauthorized", "error": "HTTPException", "status_code": 401}, + id="unauthorized", + ), + pytest.param( + None, + { + "access_token": "eyJhbGciOiAiSFMyNTYiLCAidHlwIjogIkpXVCJ9.eyJkYXRhIjogeyJmb28iOiAiYmFyI" + "n0sICJpYXQiOiAwfQ==.0000", + }, + 401, + { + "detail": { + "description": "Signature verification failed for token 'eyJhbGciOiAiSFMyNTYiLCAidHlwIjogIkpXVC" + "J9.eyJkYXRhIjogeyJmb28iOiAiYmFyIn0sICJpYXQiOiAwfQ==.0000'", + "error": "JWTValidateException", + }, + "error": "HTTPException", + "status_code": 401, + }, + id="invalid_token", + ), + ), + ) + async def test_injection(self, client, status_code, result, headers, cookies): + client.headers = headers + client.cookies = cookies + response = await client.request("get", "/") + + assert response.status_code == status_code + assert response.json() == result + + +class TestCaseRefreshTokenComponent: @pytest.fixture(scope="function", autouse=True) def add_endpoints(self, app): @app.get("/") - def jwt(token: JWT): + def refresh_token(token: authentication.RefreshToken): return token.asdict() @pytest.mark.parametrize( - ["params", "status_code", "result"], + ["headers", "cookies", "status_code", "result"], ( pytest.param( - {"headers": {"Authorization": f"Bearer {TOKEN.decode()}"}}, + {"refresh_token": f"Bearer {TOKEN.decode()}"}, + None, 200, {"header": {"alg": "HS256", "typ": "JWT"}, "payload": {"data": {"foo": "bar"}, "iat": 0}}, id="headers", ), pytest.param( - {"headers": {"Authorization": "token"}}, + {"refresh_token": "token"}, + None, 400, { "detail": { - "description": "Authentication header must be 'Authorization: Bearer '", + "description": "Authentication header must be 'refresh_token: Bearer '", "error": "JWTException", }, "error": "HTTPException", @@ -61,11 +147,12 @@ def jwt(token: JWT): id="header_wrong_format", ), pytest.param( - {"headers": {"Authorization": "Foo token"}}, + {"refresh_token": "Foo token"}, + None, 400, { "detail": { - "description": "Authentication header must be 'Authorization: Bearer '", + "description": "Authentication header must be 'refresh_token: Bearer '", "error": "JWTException", }, "error": "HTTPException", @@ -74,23 +161,24 @@ def jwt(token: JWT): id="header_wrong_prefix", ), pytest.param( - {"cookies": {"flama_authentication": TOKEN.decode()}}, + None, + {"refresh_token": TOKEN.decode()}, 200, {"header": {"alg": "HS256", "typ": "JWT"}, "payload": {"data": {"foo": "bar"}, "iat": 0}}, id="cookies", ), pytest.param( - {}, + None, + None, 401, {"detail": "Unauthorized", "error": "HTTPException", "status_code": 401}, id="unauthorized", ), pytest.param( + None, { - "cookies": { - "flama_authentication": "eyJhbGciOiAiSFMyNTYiLCAidHlwIjogIkpXVCJ9.eyJkYXRhIjogeyJmb28iOiAiYmFyI" - "n0sICJpYXQiOiAwfQ==.0000", - } + "refresh_token": "eyJhbGciOiAiSFMyNTYiLCAidHlwIjogIkpXVCJ9.eyJkYXRhIjogeyJmb28iOiAiYmFyI" + "n0sICJpYXQiOiAwfQ==.0000", }, 401, { @@ -106,8 +194,10 @@ def jwt(token: JWT): ), ), ) - async def test_injection(self, client, status_code, result, params): - response = await client.request("get", "/", **params) + async def test_injection(self, client, status_code, result, headers, cookies): + client.headers = headers + client.cookies = cookies + response = await client.request("get", "/") assert response.status_code == status_code assert response.json() == result diff --git a/tests/authentication/test_middlewares.py b/tests/authentication/test_middlewares.py index c9a1971c..0684eb46 100644 --- a/tests/authentication/test_middlewares.py +++ b/tests/authentication/test_middlewares.py @@ -3,7 +3,7 @@ import pytest from flama import Flama -from flama.authentication.components import JWTComponent +from flama.authentication.components import AccessTokenComponent from flama.authentication.middlewares import AuthenticationMiddleware from flama.middleware import Middleware @@ -27,7 +27,7 @@ def app(self, secret): return Flama( schema=None, docs=None, - components=[JWTComponent(secret=secret.bytes)], + components=[AccessTokenComponent(secret=secret.bytes)], middleware=[Middleware(AuthenticationMiddleware)], ) @@ -47,7 +47,7 @@ def headers(self, request): return None try: - return {"Authorization": f"Bearer {TOKENS[request.param].decode()}"} + return {"access_token": f"Bearer {TOKENS[request.param].decode()}"} except KeyError: raise ValueError(f"Invalid token {request.param}") @@ -57,7 +57,7 @@ def cookies(self, request): return None try: - return {"flama_authentication": TOKENS[request.param].decode()} + return {"access_token": TOKENS[request.param].decode()} except KeyError: raise ValueError(f"Invalid token {request.param}") @@ -105,7 +105,9 @@ def cookies(self, request): indirect=["headers", "cookies"], ) async def test_request(self, client, path, headers, cookies, status_code, result): - response = await client.request("get", path, headers=headers, cookies=cookies) + client.headers = headers + client.cookies = cookies + response = await client.request("get", path) assert response.status_code == status_code assert response.json() == result diff --git a/tests/conftest.py b/tests/conftest.py index b4c2d47e..821e5e74 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -197,7 +197,7 @@ def _sklearn_pipeline(self): def _tensorflow(self): model = tf.keras.models.Sequential( [ - tf.keras.layers.Flatten(input_shape=(2,)), + tf.keras.Input((2,)), tf.keras.layers.Dense(10, activation="tanh"), tf.keras.layers.Dense(1, activation="sigmoid"), ] diff --git a/tests/schemas/conftest.py b/tests/schemas/conftest.py index 40be108a..99b93643 100644 --- a/tests/schemas/conftest.py +++ b/tests/schemas/conftest.py @@ -66,7 +66,7 @@ def bar_optional_schema(app, foo_schema): schema = type( "BarOptional", (marshmallow.Schema,), - {"foo": marshmallow.fields.Nested(child_schema(), required=False, default=None, allow_none=True)}, + {"foo": marshmallow.fields.Nested(child_schema(), required=False, dump_default=None, allow_none=True)}, ) name = "abc.BarOptional" else: diff --git a/tests/schemas/test_data_structures.py b/tests/schemas/test_data_structures.py index 0c8594ce..94b62eab 100644 --- a/tests/schemas/test_data_structures.py +++ b/tests/schemas/test_data_structures.py @@ -115,6 +115,8 @@ def schema_type(self, app, request, foo_schema, bar_schema, bar_optional_schema, elif request.param == "list_of_schema": return t.List[types.Schema[foo_schema.schema]] if inspect.isclass(foo_schema.schema) else foo_schema.schema elif request.param == "schema_partial": + if app.schema.schema_library.lib in (typesystem,): + pytest.skip("Library does not support optional partial schemas") return types.PartialSchema[foo_schema.schema] elif request.param == "schema_nested": return types.Schema[bar_schema.schema] diff --git a/tests/test_asgi.py b/tests/test_asgi.py index e38f1abb..4bfc7554 100644 --- a/tests/test_asgi.py +++ b/tests/test_asgi.py @@ -395,7 +395,8 @@ async def test_cookies(self, client, path, method, cookies, expected): cookies_jar = http.cookiejar.CookieJar() for cookie in cookies: cookies_jar.set_cookie(cookie) - response = await client.request(method, path, cookies=cookies_jar) + client.cookies = cookies_jar + response = await client.request(method, path) response_json = response.json() assert response_json == expected