diff --git a/pyproject.toml b/pyproject.toml index fce3556f..ba705dd8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,7 +10,7 @@ authors = [ dependencies = [ "httpx>=0.23.0, <1", - "pydantic>=1.9.0, <3", + "pydantic>=2.0.0, <3", "typing-extensions>=4.14, <5", "anyio>=3.5.0, <5", "distro>=1.7.0, <2", @@ -46,12 +46,7 @@ aiohttp = ["aiohttp", "httpx_aiohttp>=0.1.9"] [tool.uv] managed = true required-version = ">=0.9" -conflicts = [ - [ - { group = "pydantic-v1" }, - { group = "pydantic-v2" }, - ], -] +conflicts = [] [dependency-groups] # version pins are in uv.lock @@ -69,13 +64,6 @@ dev = [ "pytest-xdist>=3.6.1", "dotenv>=0.9.9", ] -pydantic-v1 = [ - "pydantic>=1.9.0,<2", -] -pydantic-v2 = [ - "pydantic~=2.0 ; python_full_version < '3.14'", - "pydantic~=2.12 ; python_full_version >= '3.14'", -] [build-system] requires = ["hatchling==1.26.3", "hatch-fancy-pypi-readme", "packaging"] diff --git a/scripts/test b/scripts/test index fe50ebb1..8ba96662 100755 --- a/scripts/test +++ b/scripts/test @@ -14,14 +14,8 @@ PY_VERSION_MIN=">=3.9.0" PY_VERSION_MAX=">=3.14.0" function run_tests() { - echo "==> Running tests with Pydantic v2" + echo "==> Running tests" uv run --isolated --all-extras pytest "$@" - - # Skip Pydantic v1 tests on latest Python (not supported) - if [[ "$UV_PYTHON" != "$PY_VERSION_MAX" ]]; then - echo "==> Running tests with Pydantic v1" - uv run --isolated --all-extras --group=pydantic-v1 pytest "$@" - fi } # If UV_PYTHON is already set in the environment, just run the command once diff --git a/src/stagehand/_compat.py b/src/stagehand/_compat.py index e6690a4f..9c7fd5de 100644 --- a/src/stagehand/_compat.py +++ b/src/stagehand/_compat.py @@ -19,6 +19,12 @@ PYDANTIC_V1 = pydantic.VERSION.startswith("1.") +if PYDANTIC_V1: + raise ImportError( + f"stagehand requires Pydantic v2 or newer; found Pydantic {pydantic.VERSION}. " + "Install `pydantic>=2,<3`." + ) + if TYPE_CHECKING: def parse_date(value: date | StrBytesIntFloat) -> date: # noqa: ARG001 diff --git a/src/stagehand/resources/sessions_helpers.py b/src/stagehand/resources/sessions_helpers.py index 7e979d8e..c0af9ba9 100644 --- a/src/stagehand/resources/sessions_helpers.py +++ b/src/stagehand/resources/sessions_helpers.py @@ -2,12 +2,17 @@ from __future__ import annotations -from typing_extensions import Literal, override +import inspect +import logging +from typing import Any, Type, Mapping, cast +from typing_extensions import Unpack, Literal, override import httpx +from pydantic import BaseModel, ConfigDict -from ..types import session_start_params +from ..types import session_start_params, session_extract_params from .._types import Body, Omit, Query, Headers, NotGiven, omit, not_given +from .._utils import lru_cache from .._compat import cached_property from ..session import Session, AsyncSession from .sessions import ( @@ -25,6 +30,190 @@ async_to_streamed_response_wrapper, ) from ..types.session_start_response import SessionStartResponse +from ..types.session_extract_response import SessionExtractResponse + +logger = logging.getLogger(__name__) + +_ORIGINAL_SESSION_EXTRACT = Session.extract +_ORIGINAL_ASYNC_SESSION_EXTRACT = AsyncSession.extract + + +def install_pydantic_extract_patch() -> None: + if getattr(Session.extract, "__stagehand_pydantic_extract_patch__", False): + return + + Session.extract = _sync_extract # type: ignore[assignment] + AsyncSession.extract = _async_extract # type: ignore[assignment] + + +def is_pydantic_model(schema: Any) -> bool: + return inspect.isclass(schema) and issubclass(schema, BaseModel) + + +def pydantic_model_to_json_schema(schema: Type[BaseModel]) -> dict[str, object]: + schema.model_rebuild() + return cast(dict[str, object], schema.model_json_schema()) + + +def validate_extract_response( + result: object, schema: Type[BaseModel], *, strict_response_validation: bool +) -> object: + validation_schema = _validation_schema(schema, strict_response_validation) + try: + return validation_schema.model_validate(result) + except Exception: + try: + normalized = _convert_dict_keys_to_snake_case(result) + return validation_schema.model_validate(normalized) + except Exception: + logger.warning( + "Failed to validate extracted data against schema %s. Returning raw data.", + schema.__name__, + ) + return result + + +@lru_cache(maxsize=256) +def _validation_schema(schema: Type[BaseModel], strict_response_validation: bool) -> Type[BaseModel]: + extra_behavior: Literal["allow", "forbid"] = "forbid" if strict_response_validation else "allow" + validation_schema = cast( + Type[BaseModel], + type( + f"{schema.__name__}ExtractValidation", + (schema,), + { + "__module__": schema.__module__, + "model_config": ConfigDict(extra=extra_behavior), + }, + ), + ) + validation_schema.model_rebuild(force=True) + return validation_schema + + +def _camel_to_snake(name: str) -> str: + chars: list[str] = [] + for i, ch in enumerate(name): + if ch.isupper() and i != 0 and not name[i - 1].isupper(): + chars.append("_") + chars.append(ch.lower()) + return "".join(chars) + + +def _convert_dict_keys_to_snake_case(data: Any) -> Any: + if isinstance(data, dict): + items = cast(dict[object, object], data).items() + return { + _camel_to_snake(k) if isinstance(k, str) else k: _convert_dict_keys_to_snake_case(v) + for k, v in items + } + if isinstance(data, list): + return [_convert_dict_keys_to_snake_case(item) for item in cast(list[object], data)] + return data + + +def _with_schema( + params: Mapping[str, object], + schema: dict[str, object] | type | None, +) -> session_extract_params.SessionExtractParamsNonStreaming: + api_params = dict(params) + if schema is not None: + api_params["schema"] = cast(Any, schema) + return cast(session_extract_params.SessionExtractParamsNonStreaming, api_params) + + +def _sync_extract( # type: ignore[override, misc] + self: Session, + *, + schema: dict[str, object] | type | None = None, + page: Any | None = None, + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = not_given, + **params: Unpack[session_extract_params.SessionExtractParamsNonStreaming], # pyright: ignore[reportGeneralTypeIssues] +) -> SessionExtractResponse: + params_schema = params.pop("schema", None) # type: ignore[misc] + resolved_schema = schema if schema is not None else params_schema + + pydantic_cls: Type[BaseModel] | None = None + if is_pydantic_model(resolved_schema): + pydantic_cls = cast(Type[BaseModel], resolved_schema) + resolved_schema = pydantic_model_to_json_schema(pydantic_cls) + + response = _ORIGINAL_SESSION_EXTRACT( + self, + page=page, + extra_headers=extra_headers, + extra_query=extra_query, + extra_body=extra_body, + timeout=timeout, + **_with_schema(params, resolved_schema), + ) + + if pydantic_cls is not None and response.data and response.data.result is not None: + response.data.result = validate_extract_response( + response.data.result, + pydantic_cls, + strict_response_validation=self._client._strict_response_validation, + ) + + return response + + +async def _async_extract( # type: ignore[override, misc] + self: AsyncSession, + *, + schema: dict[str, object] | type | None = None, + page: Any | None = None, + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = not_given, + **params: Unpack[session_extract_params.SessionExtractParamsNonStreaming], # pyright: ignore[reportGeneralTypeIssues] +) -> SessionExtractResponse: + params_schema = params.pop("schema", None) # type: ignore[misc] + resolved_schema = schema if schema is not None else params_schema + + pydantic_cls: Type[BaseModel] | None = None + if is_pydantic_model(resolved_schema): + pydantic_cls = cast(Type[BaseModel], resolved_schema) + resolved_schema = pydantic_model_to_json_schema(pydantic_cls) + + response = await _ORIGINAL_ASYNC_SESSION_EXTRACT( + self, + page=page, + extra_headers=extra_headers, + extra_query=extra_query, + extra_body=extra_body, + timeout=timeout, + **_with_schema(params, resolved_schema), + ) + + if pydantic_cls is not None and response.data and response.data.result is not None: + response.data.result = validate_extract_response( + response.data.result, + pydantic_cls, + strict_response_validation=self._client._strict_response_validation, + ) + + return response + + +_sync_extract.__module__ = _ORIGINAL_SESSION_EXTRACT.__module__ +_sync_extract.__name__ = _ORIGINAL_SESSION_EXTRACT.__name__ +_sync_extract.__qualname__ = _ORIGINAL_SESSION_EXTRACT.__qualname__ +_sync_extract.__doc__ = _ORIGINAL_SESSION_EXTRACT.__doc__ +setattr(_sync_extract, "__stagehand_pydantic_extract_patch__", True) # noqa: B010 + +_async_extract.__module__ = _ORIGINAL_ASYNC_SESSION_EXTRACT.__module__ +_async_extract.__name__ = _ORIGINAL_ASYNC_SESSION_EXTRACT.__name__ +_async_extract.__qualname__ = _ORIGINAL_ASYNC_SESSION_EXTRACT.__qualname__ +_async_extract.__doc__ = _ORIGINAL_ASYNC_SESSION_EXTRACT.__doc__ +setattr(_async_extract, "__stagehand_pydantic_extract_patch__", True) # noqa: B010 + + +install_pydantic_extract_patch() class SessionsResourceWithHelpersRawResponse(SessionsResourceWithRawResponse): diff --git a/tests/test_session_extract_pydantic.py b/tests/test_session_extract_pydantic.py new file mode 100644 index 00000000..434cbde7 --- /dev/null +++ b/tests/test_session_extract_pydantic.py @@ -0,0 +1,200 @@ +# Manually maintained tests for Pydantic extract helpers. + +from __future__ import annotations + +import os +import json +from typing import Any, cast + +import httpx +import pytest +from respx import MockRouter +from pydantic import BaseModel +from respx.models import Call + +from stagehand import Stagehand, AsyncStagehand + +base_url = os.environ.get("TEST_API_BASE_URL", "http://127.0.0.1:4010") + + +class ExtractedUser(BaseModel): + user_name: str + lucky_number: int + + +class ExtractedName(BaseModel): + user_name: str + + +@pytest.mark.respx(base_url=base_url) +def test_session_extract_accepts_pydantic_schema(respx_mock: MockRouter, client: Stagehand) -> None: + session_id = "00000000-0000-0000-0000-000000000000" + + respx_mock.post("/v1/sessions/start").mock( + return_value=httpx.Response( + 200, + json={"success": True, "data": {"available": True, "sessionId": session_id}}, + ) + ) + + extract_route = respx_mock.post(f"/v1/sessions/{session_id}/extract").mock( + return_value=httpx.Response( + 200, + json={"success": True, "data": {"result": {"userName": "Ada", "luckyNumber": 7}}}, + ) + ) + + session = client.sessions.start(model_name="openai/gpt-5-nano") + response = session.extract(instruction="extract the user", schema=cast(Any, ExtractedUser)) + + assert isinstance(response.data.result, ExtractedUser) + assert response.data.result.user_name == "Ada" + assert response.data.result.lucky_number == 7 + + first_call = cast(Call, extract_route.calls[0]) + request_body = json.loads(first_call.request.content) + assert request_body["schema"]["properties"]["user_name"]["type"] == "string" + assert request_body["schema"]["properties"]["lucky_number"]["type"] == "integer" + + +@pytest.mark.parametrize("client", [False], indirect=True) +@pytest.mark.respx(base_url=base_url) +def test_session_extract_allows_extra_fields_when_client_is_non_strict( + respx_mock: MockRouter, client: Stagehand +) -> None: + session_id = "00000000-0000-0000-0000-000000000001" + + respx_mock.post("/v1/sessions/start").mock( + return_value=httpx.Response( + 200, + json={"success": True, "data": {"available": True, "sessionId": session_id}}, + ) + ) + + respx_mock.post(f"/v1/sessions/{session_id}/extract").mock( + return_value=httpx.Response( + 200, + json={"success": True, "data": {"result": {"userName": "Ada", "favoriteColor": "blue"}}}, + ) + ) + + session = client.sessions.start(model_name="openai/gpt-5-nano") + response = session.extract(instruction="extract the user", schema=cast(Any, ExtractedName)) + + assert isinstance(response.data.result, ExtractedName) + assert response.data.result.user_name == "Ada" + assert response.data.result.model_extra == {"favorite_color": "blue"} + + +@pytest.mark.respx(base_url=base_url) +def test_session_extract_rejects_extra_fields_when_client_is_strict( + respx_mock: MockRouter, client: Stagehand +) -> None: + session_id = "00000000-0000-0000-0000-000000000002" + + respx_mock.post("/v1/sessions/start").mock( + return_value=httpx.Response( + 200, + json={"success": True, "data": {"available": True, "sessionId": session_id}}, + ) + ) + + respx_mock.post(f"/v1/sessions/{session_id}/extract").mock( + return_value=httpx.Response( + 200, + json={"success": True, "data": {"result": {"userName": "Ada", "favoriteColor": "blue"}}}, + ) + ) + + session = client.sessions.start(model_name="openai/gpt-5-nano") + response = session.extract(instruction="extract the user", schema=cast(Any, ExtractedName)) + + assert response.data.result == {"userName": "Ada", "favoriteColor": "blue"} + + +@pytest.mark.respx(base_url=base_url) +async def test_async_session_extract_accepts_pydantic_schema( + respx_mock: MockRouter, async_client: AsyncStagehand +) -> None: + session_id = "00000000-0000-0000-0000-000000000000" + + respx_mock.post("/v1/sessions/start").mock( + return_value=httpx.Response( + 200, + json={"success": True, "data": {"available": True, "sessionId": session_id}}, + ) + ) + + extract_route = respx_mock.post(f"/v1/sessions/{session_id}/extract").mock( + return_value=httpx.Response( + 200, + json={"success": True, "data": {"result": {"userName": "Grace", "luckyNumber": 11}}}, + ) + ) + + session = await async_client.sessions.start(model_name="openai/gpt-5-nano") + response = await session.extract(instruction="extract the user", schema=cast(Any, ExtractedUser)) + + assert isinstance(response.data.result, ExtractedUser) + assert response.data.result.user_name == "Grace" + assert response.data.result.lucky_number == 11 + + first_call = cast(Call, extract_route.calls[0]) + request_body = json.loads(first_call.request.content) + assert request_body["schema"]["properties"]["user_name"]["type"] == "string" + assert request_body["schema"]["properties"]["lucky_number"]["type"] == "integer" + + +@pytest.mark.parametrize("async_client", [False], indirect=True) +@pytest.mark.respx(base_url=base_url) +async def test_async_session_extract_allows_extra_fields_when_client_is_non_strict( + respx_mock: MockRouter, async_client: AsyncStagehand +) -> None: + session_id = "00000000-0000-0000-0000-000000000003" + + respx_mock.post("/v1/sessions/start").mock( + return_value=httpx.Response( + 200, + json={"success": True, "data": {"available": True, "sessionId": session_id}}, + ) + ) + + respx_mock.post(f"/v1/sessions/{session_id}/extract").mock( + return_value=httpx.Response( + 200, + json={"success": True, "data": {"result": {"userName": "Grace", "favoriteColor": "green"}}}, + ) + ) + + session = await async_client.sessions.start(model_name="openai/gpt-5-nano") + response = await session.extract(instruction="extract the user", schema=cast(Any, ExtractedName)) + + assert isinstance(response.data.result, ExtractedName) + assert response.data.result.user_name == "Grace" + assert response.data.result.model_extra == {"favorite_color": "green"} + + +@pytest.mark.respx(base_url=base_url) +async def test_async_session_extract_rejects_extra_fields_when_client_is_strict( + respx_mock: MockRouter, async_client: AsyncStagehand +) -> None: + session_id = "00000000-0000-0000-0000-000000000004" + + respx_mock.post("/v1/sessions/start").mock( + return_value=httpx.Response( + 200, + json={"success": True, "data": {"available": True, "sessionId": session_id}}, + ) + ) + + respx_mock.post(f"/v1/sessions/{session_id}/extract").mock( + return_value=httpx.Response( + 200, + json={"success": True, "data": {"result": {"userName": "Grace", "favoriteColor": "green"}}}, + ) + ) + + session = await async_client.sessions.start(model_name="openai/gpt-5-nano") + response = await session.extract(instruction="extract the user", schema=cast(Any, ExtractedName)) + + assert 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