From 133ef071a9ec88c466bc8cee2ba973db9f00f9f9 Mon Sep 17 00:00:00 2001 From: "stainless-app[bot]" <142633134+stainless-app[bot]@users.noreply.github.com> Date: Wed, 3 Sep 2025 02:56:25 +0000 Subject: [PATCH 1/3] feat(types): replace List[str] with SequenceNotStr in params --- src/openlayer/_utils/_transform.py | 6 ++++++ .../inference_pipelines/data_stream_params.py | 17 +++++++++-------- .../inference_pipeline_create_params.py | 5 +++-- .../types/projects/test_create_params.py | 5 +++-- .../types/projects/test_update_params.py | 5 +++-- 5 files changed, 24 insertions(+), 14 deletions(-) diff --git a/src/openlayer/_utils/_transform.py b/src/openlayer/_utils/_transform.py index b0cc20a7..f0bcefd4 100644 --- a/src/openlayer/_utils/_transform.py +++ b/src/openlayer/_utils/_transform.py @@ -16,6 +16,7 @@ lru_cache, is_mapping, is_iterable, + is_sequence, ) from .._files import is_base64_file_input from ._typing import ( @@ -24,6 +25,7 @@ extract_type_arg, is_iterable_type, is_required_type, + is_sequence_type, is_annotated_type, strip_annotated_type, ) @@ -184,6 +186,8 @@ def _transform_recursive( (is_list_type(stripped_type) and is_list(data)) # Iterable[T] or (is_iterable_type(stripped_type) and is_iterable(data) and not isinstance(data, str)) + # Sequence[T] + or (is_sequence_type(stripped_type) and is_sequence(data) and not isinstance(data, str)) ): # dicts are technically iterable, but it is an iterable on the keys of the dict and is not usually # intended as an iterable, so we don't transform it. @@ -346,6 +350,8 @@ async def _async_transform_recursive( (is_list_type(stripped_type) and is_list(data)) # Iterable[T] or (is_iterable_type(stripped_type) and is_iterable(data) and not isinstance(data, str)) + # Sequence[T] + or (is_sequence_type(stripped_type) and is_sequence(data) and not isinstance(data, str)) ): # dicts are technically iterable, but it is an iterable on the keys of the dict and is not usually # intended as an iterable, so we don't transform it. diff --git a/src/openlayer/types/inference_pipelines/data_stream_params.py b/src/openlayer/types/inference_pipelines/data_stream_params.py index 2a3e9506..a897b34a 100644 --- a/src/openlayer/types/inference_pipelines/data_stream_params.py +++ b/src/openlayer/types/inference_pipelines/data_stream_params.py @@ -2,9 +2,10 @@ from __future__ import annotations -from typing import Dict, List, Union, Iterable, Optional +from typing import Dict, Union, Iterable, Optional from typing_extensions import Required, Annotated, TypeAlias, TypedDict +from ..._types import SequenceNotStr from ..._utils import PropertyInfo __all__ = [ @@ -60,7 +61,7 @@ class ConfigLlmData(TypedDict, total=False): provided, a unique id is generated by Openlayer. """ - input_variable_names: Annotated[List[str], PropertyInfo(alias="inputVariableNames")] + input_variable_names: Annotated[SequenceNotStr[str], PropertyInfo(alias="inputVariableNames")] """Array of input variable names. Each input variable should be a dataset column.""" latency_column_name: Annotated[str, PropertyInfo(alias="latencyColumnName")] @@ -90,19 +91,19 @@ class ConfigLlmData(TypedDict, total=False): class ConfigTabularClassificationData(TypedDict, total=False): - class_names: Required[Annotated[List[str], PropertyInfo(alias="classNames")]] + class_names: Required[Annotated[SequenceNotStr[str], PropertyInfo(alias="classNames")]] """List of class names indexed by label integer in the dataset. E.g. ["Retained", "Exited"] when 0, 1 are in your label column. """ - categorical_feature_names: Annotated[List[str], PropertyInfo(alias="categoricalFeatureNames")] + categorical_feature_names: Annotated[SequenceNotStr[str], PropertyInfo(alias="categoricalFeatureNames")] """Array with the names of all categorical features in the dataset. E.g. ["Age", "Geography"]. """ - feature_names: Annotated[List[str], PropertyInfo(alias="featureNames")] + feature_names: Annotated[SequenceNotStr[str], PropertyInfo(alias="featureNames")] """Array with all input feature names.""" inference_id_column_name: Annotated[str, PropertyInfo(alias="inferenceIdColumnName")] @@ -143,13 +144,13 @@ class ConfigTabularClassificationData(TypedDict, total=False): class ConfigTabularRegressionData(TypedDict, total=False): - categorical_feature_names: Annotated[List[str], PropertyInfo(alias="categoricalFeatureNames")] + categorical_feature_names: Annotated[SequenceNotStr[str], PropertyInfo(alias="categoricalFeatureNames")] """Array with the names of all categorical features in the dataset. E.g. ["Gender", "Geography"]. """ - feature_names: Annotated[List[str], PropertyInfo(alias="featureNames")] + feature_names: Annotated[SequenceNotStr[str], PropertyInfo(alias="featureNames")] """Array with all input feature names.""" inference_id_column_name: Annotated[str, PropertyInfo(alias="inferenceIdColumnName")] @@ -180,7 +181,7 @@ class ConfigTabularRegressionData(TypedDict, total=False): class ConfigTextClassificationData(TypedDict, total=False): - class_names: Required[Annotated[List[str], PropertyInfo(alias="classNames")]] + class_names: Required[Annotated[SequenceNotStr[str], PropertyInfo(alias="classNames")]] """List of class names indexed by label integer in the dataset. E.g. ["Retained", "Exited"] when 0, 1 are in your label column. diff --git a/src/openlayer/types/projects/inference_pipeline_create_params.py b/src/openlayer/types/projects/inference_pipeline_create_params.py index a13f2057..14e6d11b 100644 --- a/src/openlayer/types/projects/inference_pipeline_create_params.py +++ b/src/openlayer/types/projects/inference_pipeline_create_params.py @@ -2,9 +2,10 @@ from __future__ import annotations -from typing import List, Optional +from typing import Optional from typing_extensions import Literal, Required, Annotated, TypedDict +from ..._types import SequenceNotStr from ..._utils import PropertyInfo __all__ = ["InferencePipelineCreateParams", "Project", "Workspace"] @@ -51,4 +52,4 @@ class Workspace(TypedDict, total=False): saml_only_access: Annotated[bool, PropertyInfo(alias="samlOnlyAccess")] """Whether the workspace only allows SAML authentication.""" - wildcard_domains: Annotated[List[str], PropertyInfo(alias="wildcardDomains")] + wildcard_domains: Annotated[SequenceNotStr[str], PropertyInfo(alias="wildcardDomains")] diff --git a/src/openlayer/types/projects/test_create_params.py b/src/openlayer/types/projects/test_create_params.py index ff3aeedb..b2ebdba0 100644 --- a/src/openlayer/types/projects/test_create_params.py +++ b/src/openlayer/types/projects/test_create_params.py @@ -2,9 +2,10 @@ from __future__ import annotations -from typing import List, Union, Iterable, Optional +from typing import Union, Iterable, Optional from typing_extensions import Literal, Required, Annotated, TypedDict +from ..._types import SequenceNotStr from ..._utils import PropertyInfo __all__ = ["TestCreateParams", "Threshold", "ThresholdInsightParameter"] @@ -165,5 +166,5 @@ class Threshold(TypedDict, total=False): threshold_mode: Annotated[Literal["automatic", "manual"], PropertyInfo(alias="thresholdMode")] """Whether to use automatic anomaly detection or manual thresholds""" - value: Union[float, bool, str, List[str]] + value: Union[float, bool, str, SequenceNotStr[str]] """The value to be compared.""" diff --git a/src/openlayer/types/projects/test_update_params.py b/src/openlayer/types/projects/test_update_params.py index 53f6c3fe..4e006e14 100644 --- a/src/openlayer/types/projects/test_update_params.py +++ b/src/openlayer/types/projects/test_update_params.py @@ -2,9 +2,10 @@ from __future__ import annotations -from typing import List, Union, Iterable, Optional +from typing import Union, Iterable, Optional from typing_extensions import Literal, Required, Annotated, TypedDict +from ..._types import SequenceNotStr from ..._utils import PropertyInfo __all__ = ["TestUpdateParams", "Payload", "PayloadThreshold", "PayloadThresholdInsightParameter"] @@ -82,7 +83,7 @@ class PayloadThreshold(TypedDict, total=False): threshold_mode: Annotated[Literal["automatic", "manual"], PropertyInfo(alias="thresholdMode")] """Whether to use automatic anomaly detection or manual thresholds""" - value: Union[float, bool, str, List[str]] + value: Union[float, bool, str, SequenceNotStr[str]] """The value to be compared.""" From 0465274ed295cd8d67b5473b0447b98a56b69cda Mon Sep 17 00:00:00 2001 From: "stainless-app[bot]" <142633134+stainless-app[bot]@users.noreply.github.com> Date: Thu, 4 Sep 2025 02:59:50 +0000 Subject: [PATCH 2/3] feat: improve future compat with pydantic v3 --- src/openlayer/_base_client.py | 6 +- src/openlayer/_compat.py | 96 ++++++++--------- src/openlayer/_models.py | 80 +++++++------- src/openlayer/_utils/__init__.py | 10 +- src/openlayer/_utils/_compat.py | 45 ++++++++ src/openlayer/_utils/_datetime_parse.py | 136 ++++++++++++++++++++++++ src/openlayer/_utils/_transform.py | 6 +- src/openlayer/_utils/_typing.py | 2 +- src/openlayer/_utils/_utils.py | 1 - tests/test_models.py | 48 ++++----- tests/test_transform.py | 16 +-- tests/test_utils/test_datetime_parse.py | 110 +++++++++++++++++++ tests/utils.py | 8 +- 13 files changed, 432 insertions(+), 132 deletions(-) create mode 100644 src/openlayer/_utils/_compat.py create mode 100644 src/openlayer/_utils/_datetime_parse.py create mode 100644 tests/test_utils/test_datetime_parse.py diff --git a/src/openlayer/_base_client.py b/src/openlayer/_base_client.py index 28340224..3e13d930 100644 --- a/src/openlayer/_base_client.py +++ b/src/openlayer/_base_client.py @@ -59,7 +59,7 @@ ModelBuilderProtocol, ) from ._utils import is_dict, is_list, asyncify, is_given, lru_cache, is_mapping -from ._compat import PYDANTIC_V2, model_copy, model_dump +from ._compat import PYDANTIC_V1, model_copy, model_dump from ._models import GenericModel, FinalRequestOptions, validate_type, construct_type from ._response import ( APIResponse, @@ -232,7 +232,7 @@ def _set_private_attributes( model: Type[_T], options: FinalRequestOptions, ) -> None: - if PYDANTIC_V2 and getattr(self, "__pydantic_private__", None) is None: + if (not PYDANTIC_V1) and getattr(self, "__pydantic_private__", None) is None: self.__pydantic_private__ = {} self._model = model @@ -320,7 +320,7 @@ def _set_private_attributes( client: AsyncAPIClient, options: FinalRequestOptions, ) -> None: - if PYDANTIC_V2 and getattr(self, "__pydantic_private__", None) is None: + if (not PYDANTIC_V1) and getattr(self, "__pydantic_private__", None) is None: self.__pydantic_private__ = {} self._model = model diff --git a/src/openlayer/_compat.py b/src/openlayer/_compat.py index 92d9ee61..bdef67f0 100644 --- a/src/openlayer/_compat.py +++ b/src/openlayer/_compat.py @@ -12,14 +12,13 @@ _T = TypeVar("_T") _ModelT = TypeVar("_ModelT", bound=pydantic.BaseModel) -# --------------- Pydantic v2 compatibility --------------- +# --------------- Pydantic v2, v3 compatibility --------------- # Pyright incorrectly reports some of our functions as overriding a method when they don't # pyright: reportIncompatibleMethodOverride=false -PYDANTIC_V2 = pydantic.VERSION.startswith("2.") +PYDANTIC_V1 = pydantic.VERSION.startswith("1.") -# v1 re-exports if TYPE_CHECKING: def parse_date(value: date | StrBytesIntFloat) -> date: # noqa: ARG001 @@ -44,90 +43,92 @@ def is_typeddict(type_: type[Any]) -> bool: # noqa: ARG001 ... else: - if PYDANTIC_V2: - from pydantic.v1.typing import ( + # v1 re-exports + if PYDANTIC_V1: + from pydantic.typing import ( get_args as get_args, is_union as is_union, get_origin as get_origin, is_typeddict as is_typeddict, is_literal_type as is_literal_type, ) - from pydantic.v1.datetime_parse import parse_date as parse_date, parse_datetime as parse_datetime + from pydantic.datetime_parse import parse_date as parse_date, parse_datetime as parse_datetime else: - from pydantic.typing import ( + from ._utils import ( get_args as get_args, is_union as is_union, get_origin as get_origin, + parse_date as parse_date, is_typeddict as is_typeddict, + parse_datetime as parse_datetime, is_literal_type as is_literal_type, ) - from pydantic.datetime_parse import parse_date as parse_date, parse_datetime as parse_datetime # refactored config if TYPE_CHECKING: from pydantic import ConfigDict as ConfigDict else: - if PYDANTIC_V2: - from pydantic import ConfigDict - else: + if PYDANTIC_V1: # TODO: provide an error message here? ConfigDict = None + else: + from pydantic import ConfigDict as ConfigDict # renamed methods / properties def parse_obj(model: type[_ModelT], value: object) -> _ModelT: - if PYDANTIC_V2: - return model.model_validate(value) - else: + if PYDANTIC_V1: return cast(_ModelT, model.parse_obj(value)) # pyright: ignore[reportDeprecated, reportUnnecessaryCast] + else: + return model.model_validate(value) def field_is_required(field: FieldInfo) -> bool: - if PYDANTIC_V2: - return field.is_required() - return field.required # type: ignore + if PYDANTIC_V1: + return field.required # type: ignore + return field.is_required() def field_get_default(field: FieldInfo) -> Any: value = field.get_default() - if PYDANTIC_V2: - from pydantic_core import PydanticUndefined - - if value == PydanticUndefined: - return None + if PYDANTIC_V1: return value + from pydantic_core import PydanticUndefined + + if value == PydanticUndefined: + return None return value def field_outer_type(field: FieldInfo) -> Any: - if PYDANTIC_V2: - return field.annotation - return field.outer_type_ # type: ignore + if PYDANTIC_V1: + return field.outer_type_ # type: ignore + return field.annotation def get_model_config(model: type[pydantic.BaseModel]) -> Any: - if PYDANTIC_V2: - return model.model_config - return model.__config__ # type: ignore + if PYDANTIC_V1: + return model.__config__ # type: ignore + return model.model_config def get_model_fields(model: type[pydantic.BaseModel]) -> dict[str, FieldInfo]: - if PYDANTIC_V2: - return model.model_fields - return model.__fields__ # type: ignore + if PYDANTIC_V1: + return model.__fields__ # type: ignore + return model.model_fields def model_copy(model: _ModelT, *, deep: bool = False) -> _ModelT: - if PYDANTIC_V2: - return model.model_copy(deep=deep) - return model.copy(deep=deep) # type: ignore + if PYDANTIC_V1: + return model.copy(deep=deep) # type: ignore + return model.model_copy(deep=deep) def model_json(model: pydantic.BaseModel, *, indent: int | None = None) -> str: - if PYDANTIC_V2: - return model.model_dump_json(indent=indent) - return model.json(indent=indent) # type: ignore + if PYDANTIC_V1: + return model.json(indent=indent) # type: ignore + return model.model_dump_json(indent=indent) def model_dump( @@ -139,14 +140,14 @@ def model_dump( warnings: bool = True, mode: Literal["json", "python"] = "python", ) -> dict[str, Any]: - if PYDANTIC_V2 or hasattr(model, "model_dump"): + if (not PYDANTIC_V1) or hasattr(model, "model_dump"): return model.model_dump( mode=mode, exclude=exclude, exclude_unset=exclude_unset, exclude_defaults=exclude_defaults, # warnings are not supported in Pydantic v1 - warnings=warnings if PYDANTIC_V2 else True, + warnings=True if PYDANTIC_V1 else warnings, ) return cast( "dict[str, Any]", @@ -159,9 +160,9 @@ def model_dump( def model_parse(model: type[_ModelT], data: Any) -> _ModelT: - if PYDANTIC_V2: - return model.model_validate(data) - return model.parse_obj(data) # pyright: ignore[reportDeprecated] + if PYDANTIC_V1: + return model.parse_obj(data) # pyright: ignore[reportDeprecated] + return model.model_validate(data) # generic models @@ -170,17 +171,16 @@ def model_parse(model: type[_ModelT], data: Any) -> _ModelT: class GenericModel(pydantic.BaseModel): ... else: - if PYDANTIC_V2: + if PYDANTIC_V1: + import pydantic.generics + + class GenericModel(pydantic.generics.GenericModel, pydantic.BaseModel): ... + else: # there no longer needs to be a distinction in v2 but # we still have to create our own subclass to avoid # inconsistent MRO ordering errors class GenericModel(pydantic.BaseModel): ... - else: - import pydantic.generics - - class GenericModel(pydantic.generics.GenericModel, pydantic.BaseModel): ... - # cached properties if TYPE_CHECKING: diff --git a/src/openlayer/_models.py b/src/openlayer/_models.py index 92f7c10b..3a6017ef 100644 --- a/src/openlayer/_models.py +++ b/src/openlayer/_models.py @@ -50,7 +50,7 @@ strip_annotated_type, ) from ._compat import ( - PYDANTIC_V2, + PYDANTIC_V1, ConfigDict, GenericModel as BaseGenericModel, get_args, @@ -81,11 +81,7 @@ class _ConfigProtocol(Protocol): class BaseModel(pydantic.BaseModel): - if PYDANTIC_V2: - model_config: ClassVar[ConfigDict] = ConfigDict( - extra="allow", defer_build=coerce_boolean(os.environ.get("DEFER_PYDANTIC_BUILD", "true")) - ) - else: + if PYDANTIC_V1: @property @override @@ -95,6 +91,10 @@ def model_fields_set(self) -> set[str]: class Config(pydantic.BaseConfig): # pyright: ignore[reportDeprecated] extra: Any = pydantic.Extra.allow # type: ignore + else: + model_config: ClassVar[ConfigDict] = ConfigDict( + extra="allow", defer_build=coerce_boolean(os.environ.get("DEFER_PYDANTIC_BUILD", "true")) + ) def to_dict( self, @@ -215,25 +215,25 @@ def construct( # pyright: ignore[reportIncompatibleMethodOverride] if key not in model_fields: parsed = construct_type(value=value, type_=extra_field_type) if extra_field_type is not None else value - if PYDANTIC_V2: - _extra[key] = parsed - else: + if PYDANTIC_V1: _fields_set.add(key) fields_values[key] = parsed + else: + _extra[key] = parsed object.__setattr__(m, "__dict__", fields_values) - if PYDANTIC_V2: - # these properties are copied from Pydantic's `model_construct()` method - object.__setattr__(m, "__pydantic_private__", None) - object.__setattr__(m, "__pydantic_extra__", _extra) - object.__setattr__(m, "__pydantic_fields_set__", _fields_set) - else: + if PYDANTIC_V1: # init_private_attributes() does not exist in v2 m._init_private_attributes() # type: ignore # copied from Pydantic v1's `construct()` method object.__setattr__(m, "__fields_set__", _fields_set) + else: + # these properties are copied from Pydantic's `model_construct()` method + object.__setattr__(m, "__pydantic_private__", None) + object.__setattr__(m, "__pydantic_extra__", _extra) + object.__setattr__(m, "__pydantic_fields_set__", _fields_set) return m @@ -243,7 +243,7 @@ def construct( # pyright: ignore[reportIncompatibleMethodOverride] # although not in practice model_construct = construct - if not PYDANTIC_V2: + if PYDANTIC_V1: # we define aliases for some of the new pydantic v2 methods so # that we can just document these methods without having to specify # a specific pydantic version as some users may not know which @@ -363,10 +363,10 @@ def _construct_field(value: object, field: FieldInfo, key: str) -> object: if value is None: return field_get_default(field) - if PYDANTIC_V2: - type_ = field.annotation - else: + if PYDANTIC_V1: type_ = cast(type, field.outer_type_) # type: ignore + else: + type_ = field.annotation # type: ignore if type_ is None: raise RuntimeError(f"Unexpected field type is None for {key}") @@ -375,7 +375,7 @@ def _construct_field(value: object, field: FieldInfo, key: str) -> object: def _get_extra_fields_type(cls: type[pydantic.BaseModel]) -> type | None: - if not PYDANTIC_V2: + if PYDANTIC_V1: # TODO return None @@ -628,30 +628,30 @@ def _build_discriminated_union_meta(*, union: type, meta_annotations: tuple[Any, for variant in get_args(union): variant = strip_annotated_type(variant) if is_basemodel_type(variant): - if PYDANTIC_V2: - field = _extract_field_schema_pv2(variant, discriminator_field_name) - if not field: + if PYDANTIC_V1: + field_info = cast("dict[str, FieldInfo]", variant.__fields__).get(discriminator_field_name) # pyright: ignore[reportDeprecated, reportUnnecessaryCast] + if not field_info: continue # Note: if one variant defines an alias then they all should - discriminator_alias = field.get("serialization_alias") - - field_schema = field["schema"] + discriminator_alias = field_info.alias - if field_schema["type"] == "literal": - for entry in cast("LiteralSchema", field_schema)["expected"]: + if (annotation := getattr(field_info, "annotation", None)) and is_literal_type(annotation): + for entry in get_args(annotation): if isinstance(entry, str): mapping[entry] = variant else: - field_info = cast("dict[str, FieldInfo]", variant.__fields__).get(discriminator_field_name) # pyright: ignore[reportDeprecated, reportUnnecessaryCast] - if not field_info: + field = _extract_field_schema_pv2(variant, discriminator_field_name) + if not field: continue # Note: if one variant defines an alias then they all should - discriminator_alias = field_info.alias + discriminator_alias = field.get("serialization_alias") - if (annotation := getattr(field_info, "annotation", None)) and is_literal_type(annotation): - for entry in get_args(annotation): + field_schema = field["schema"] + + if field_schema["type"] == "literal": + for entry in cast("LiteralSchema", field_schema)["expected"]: if isinstance(entry, str): mapping[entry] = variant @@ -714,7 +714,7 @@ class GenericModel(BaseGenericModel, BaseModel): pass -if PYDANTIC_V2: +if not PYDANTIC_V1: from pydantic import TypeAdapter as _TypeAdapter _CachedTypeAdapter = cast("TypeAdapter[object]", lru_cache(maxsize=None)(_TypeAdapter)) @@ -782,12 +782,12 @@ class FinalRequestOptions(pydantic.BaseModel): json_data: Union[Body, None] = None extra_json: Union[AnyMapping, None] = None - if PYDANTIC_V2: - model_config: ClassVar[ConfigDict] = ConfigDict(arbitrary_types_allowed=True) - else: + if PYDANTIC_V1: class Config(pydantic.BaseConfig): # pyright: ignore[reportDeprecated] arbitrary_types_allowed: bool = True + else: + model_config: ClassVar[ConfigDict] = ConfigDict(arbitrary_types_allowed=True) def get_max_retries(self, max_retries: int) -> int: if isinstance(self.max_retries, NotGiven): @@ -820,9 +820,9 @@ def construct( # type: ignore key: strip_not_given(value) for key, value in values.items() } - if PYDANTIC_V2: - return super().model_construct(_fields_set, **kwargs) - return cast(FinalRequestOptions, super().construct(_fields_set, **kwargs)) # pyright: ignore[reportDeprecated] + if PYDANTIC_V1: + return cast(FinalRequestOptions, super().construct(_fields_set, **kwargs)) # pyright: ignore[reportDeprecated] + return super().model_construct(_fields_set, **kwargs) if not TYPE_CHECKING: # type checkers incorrectly complain about this assignment diff --git a/src/openlayer/_utils/__init__.py b/src/openlayer/_utils/__init__.py index ca547ce5..dc64e29a 100644 --- a/src/openlayer/_utils/__init__.py +++ b/src/openlayer/_utils/__init__.py @@ -10,7 +10,6 @@ lru_cache as lru_cache, is_mapping as is_mapping, is_tuple_t as is_tuple_t, - parse_date as parse_date, is_iterable as is_iterable, is_sequence as is_sequence, coerce_float as coerce_float, @@ -23,7 +22,6 @@ coerce_boolean as coerce_boolean, coerce_integer as coerce_integer, file_from_path as file_from_path, - parse_datetime as parse_datetime, strip_not_given as strip_not_given, deepcopy_minimal as deepcopy_minimal, get_async_library as get_async_library, @@ -32,6 +30,13 @@ maybe_coerce_boolean as maybe_coerce_boolean, maybe_coerce_integer as maybe_coerce_integer, ) +from ._compat import ( + get_args as get_args, + is_union as is_union, + get_origin as get_origin, + is_typeddict as is_typeddict, + is_literal_type as is_literal_type, +) from ._typing import ( is_list_type as is_list_type, is_union_type as is_union_type, @@ -56,3 +61,4 @@ function_has_argument as function_has_argument, assert_signatures_in_sync as assert_signatures_in_sync, ) +from ._datetime_parse import parse_date as parse_date, parse_datetime as parse_datetime diff --git a/src/openlayer/_utils/_compat.py b/src/openlayer/_utils/_compat.py new file mode 100644 index 00000000..dd703233 --- /dev/null +++ b/src/openlayer/_utils/_compat.py @@ -0,0 +1,45 @@ +from __future__ import annotations + +import sys +import typing_extensions +from typing import Any, Type, Union, Literal, Optional +from datetime import date, datetime +from typing_extensions import get_args as _get_args, get_origin as _get_origin + +from .._types import StrBytesIntFloat +from ._datetime_parse import parse_date as _parse_date, parse_datetime as _parse_datetime + +_LITERAL_TYPES = {Literal, typing_extensions.Literal} + + +def get_args(tp: type[Any]) -> tuple[Any, ...]: + return _get_args(tp) + + +def get_origin(tp: type[Any]) -> type[Any] | None: + return _get_origin(tp) + + +def is_union(tp: Optional[Type[Any]]) -> bool: + if sys.version_info < (3, 10): + return tp is Union # type: ignore[comparison-overlap] + else: + import types + + return tp is Union or tp is types.UnionType + + +def is_typeddict(tp: Type[Any]) -> bool: + return typing_extensions.is_typeddict(tp) + + +def is_literal_type(tp: Type[Any]) -> bool: + return get_origin(tp) in _LITERAL_TYPES + + +def parse_date(value: Union[date, StrBytesIntFloat]) -> date: + return _parse_date(value) + + +def parse_datetime(value: Union[datetime, StrBytesIntFloat]) -> datetime: + return _parse_datetime(value) diff --git a/src/openlayer/_utils/_datetime_parse.py b/src/openlayer/_utils/_datetime_parse.py new file mode 100644 index 00000000..7cb9d9e6 --- /dev/null +++ b/src/openlayer/_utils/_datetime_parse.py @@ -0,0 +1,136 @@ +""" +This file contains code from https://github.com/pydantic/pydantic/blob/main/pydantic/v1/datetime_parse.py +without the Pydantic v1 specific errors. +""" + +from __future__ import annotations + +import re +from typing import Dict, Union, Optional +from datetime import date, datetime, timezone, timedelta + +from .._types import StrBytesIntFloat + +date_expr = r"(?P\d{4})-(?P\d{1,2})-(?P\d{1,2})" +time_expr = ( + r"(?P\d{1,2}):(?P\d{1,2})" + r"(?::(?P\d{1,2})(?:\.(?P\d{1,6})\d{0,6})?)?" + r"(?PZ|[+-]\d{2}(?::?\d{2})?)?$" +) + +date_re = re.compile(f"{date_expr}$") +datetime_re = re.compile(f"{date_expr}[T ]{time_expr}") + + +EPOCH = datetime(1970, 1, 1) +# if greater than this, the number is in ms, if less than or equal it's in seconds +# (in seconds this is 11th October 2603, in ms it's 20th August 1970) +MS_WATERSHED = int(2e10) +# slightly more than datetime.max in ns - (datetime.max - EPOCH).total_seconds() * 1e9 +MAX_NUMBER = int(3e20) + + +def _get_numeric(value: StrBytesIntFloat, native_expected_type: str) -> Union[None, int, float]: + if isinstance(value, (int, float)): + return value + try: + return float(value) + except ValueError: + return None + except TypeError: + raise TypeError(f"invalid type; expected {native_expected_type}, string, bytes, int or float") from None + + +def _from_unix_seconds(seconds: Union[int, float]) -> datetime: + if seconds > MAX_NUMBER: + return datetime.max + elif seconds < -MAX_NUMBER: + return datetime.min + + while abs(seconds) > MS_WATERSHED: + seconds /= 1000 + dt = EPOCH + timedelta(seconds=seconds) + return dt.replace(tzinfo=timezone.utc) + + +def _parse_timezone(value: Optional[str]) -> Union[None, int, timezone]: + if value == "Z": + return timezone.utc + elif value is not None: + offset_mins = int(value[-2:]) if len(value) > 3 else 0 + offset = 60 * int(value[1:3]) + offset_mins + if value[0] == "-": + offset = -offset + return timezone(timedelta(minutes=offset)) + else: + return None + + +def parse_datetime(value: Union[datetime, StrBytesIntFloat]) -> datetime: + """ + Parse a datetime/int/float/string and return a datetime.datetime. + + This function supports time zone offsets. When the input contains one, + the output uses a timezone with a fixed offset from UTC. + + Raise ValueError if the input is well formatted but not a valid datetime. + Raise ValueError if the input isn't well formatted. + """ + if isinstance(value, datetime): + return value + + number = _get_numeric(value, "datetime") + if number is not None: + return _from_unix_seconds(number) + + if isinstance(value, bytes): + value = value.decode() + + assert not isinstance(value, (float, int)) + + match = datetime_re.match(value) + if match is None: + raise ValueError("invalid datetime format") + + kw = match.groupdict() + if kw["microsecond"]: + kw["microsecond"] = kw["microsecond"].ljust(6, "0") + + tzinfo = _parse_timezone(kw.pop("tzinfo")) + kw_: Dict[str, Union[None, int, timezone]] = {k: int(v) for k, v in kw.items() if v is not None} + kw_["tzinfo"] = tzinfo + + return datetime(**kw_) # type: ignore + + +def parse_date(value: Union[date, StrBytesIntFloat]) -> date: + """ + Parse a date/int/float/string and return a datetime.date. + + Raise ValueError if the input is well formatted but not a valid date. + Raise ValueError if the input isn't well formatted. + """ + if isinstance(value, date): + if isinstance(value, datetime): + return value.date() + else: + return value + + number = _get_numeric(value, "date") + if number is not None: + return _from_unix_seconds(number).date() + + if isinstance(value, bytes): + value = value.decode() + + assert not isinstance(value, (float, int)) + match = date_re.match(value) + if match is None: + raise ValueError("invalid date format") + + kw = {k: int(v) for k, v in match.groupdict().items()} + + try: + return date(**kw) + except ValueError: + raise ValueError("invalid date format") from None diff --git a/src/openlayer/_utils/_transform.py b/src/openlayer/_utils/_transform.py index f0bcefd4..c19124f0 100644 --- a/src/openlayer/_utils/_transform.py +++ b/src/openlayer/_utils/_transform.py @@ -19,6 +19,7 @@ is_sequence, ) from .._files import is_base64_file_input +from ._compat import get_origin, is_typeddict from ._typing import ( is_list_type, is_union_type, @@ -29,7 +30,6 @@ is_annotated_type, strip_annotated_type, ) -from .._compat import get_origin, model_dump, is_typeddict _T = TypeVar("_T") @@ -169,6 +169,8 @@ def _transform_recursive( Defaults to the same value as the `annotation` argument. """ + from .._compat import model_dump + if inner_type is None: inner_type = annotation @@ -333,6 +335,8 @@ async def _async_transform_recursive( Defaults to the same value as the `annotation` argument. """ + from .._compat import model_dump + if inner_type is None: inner_type = annotation diff --git a/src/openlayer/_utils/_typing.py b/src/openlayer/_utils/_typing.py index 845cd6b2..193109f3 100644 --- a/src/openlayer/_utils/_typing.py +++ b/src/openlayer/_utils/_typing.py @@ -15,7 +15,7 @@ from ._utils import lru_cache from .._types import InheritsGeneric -from .._compat import is_union as _is_union +from ._compat import is_union as _is_union def is_annotated_type(typ: type) -> bool: diff --git a/src/openlayer/_utils/_utils.py b/src/openlayer/_utils/_utils.py index ea3cf3f2..f0818595 100644 --- a/src/openlayer/_utils/_utils.py +++ b/src/openlayer/_utils/_utils.py @@ -22,7 +22,6 @@ import sniffio from .._types import NotGiven, FileTypes, NotGivenOr, HeadersLike -from .._compat import parse_date as parse_date, parse_datetime as parse_datetime _T = TypeVar("_T") _TupleT = TypeVar("_TupleT", bound=Tuple[object, ...]) diff --git a/tests/test_models.py b/tests/test_models.py index 02d71189..ab95d39c 100644 --- a/tests/test_models.py +++ b/tests/test_models.py @@ -8,7 +8,7 @@ from pydantic import Field from openlayer._utils import PropertyInfo -from openlayer._compat import PYDANTIC_V2, parse_obj, model_dump, model_json +from openlayer._compat import PYDANTIC_V1, parse_obj, model_dump, model_json from openlayer._models import BaseModel, construct_type @@ -294,12 +294,12 @@ class Model(BaseModel): assert cast(bool, m.foo) is True m = Model.construct(foo={"name": 3}) - if PYDANTIC_V2: - assert isinstance(m.foo, Submodel1) - assert m.foo.name == 3 # type: ignore - else: + if PYDANTIC_V1: assert isinstance(m.foo, Submodel2) assert m.foo.name == "3" + else: + assert isinstance(m.foo, Submodel1) + assert m.foo.name == 3 # type: ignore def test_list_of_unions() -> None: @@ -426,10 +426,10 @@ class Model(BaseModel): expected = datetime(2019, 12, 27, 18, 11, 19, 117000, tzinfo=timezone.utc) - if PYDANTIC_V2: - expected_json = '{"created_at":"2019-12-27T18:11:19.117000Z"}' - else: + if PYDANTIC_V1: expected_json = '{"created_at": "2019-12-27T18:11:19.117000+00:00"}' + else: + expected_json = '{"created_at":"2019-12-27T18:11:19.117000Z"}' model = Model.construct(created_at="2019-12-27T18:11:19.117Z") assert model.created_at == expected @@ -531,7 +531,7 @@ class Model2(BaseModel): assert m4.to_dict(mode="python") == {"created_at": datetime.fromisoformat(time_str)} assert m4.to_dict(mode="json") == {"created_at": time_str} - if not PYDANTIC_V2: + if PYDANTIC_V1: with pytest.raises(ValueError, match="warnings is only supported in Pydantic v2"): m.to_dict(warnings=False) @@ -556,7 +556,7 @@ class Model(BaseModel): assert m3.model_dump() == {"foo": None} assert m3.model_dump(exclude_none=True) == {} - if not PYDANTIC_V2: + if PYDANTIC_V1: with pytest.raises(ValueError, match="round_trip is only supported in Pydantic v2"): m.model_dump(round_trip=True) @@ -580,10 +580,10 @@ class Model(BaseModel): assert json.loads(m.to_json()) == {"FOO": "hello"} assert json.loads(m.to_json(use_api_names=False)) == {"foo": "hello"} - if PYDANTIC_V2: - assert m.to_json(indent=None) == '{"FOO":"hello"}' - else: + if PYDANTIC_V1: assert m.to_json(indent=None) == '{"FOO": "hello"}' + else: + assert m.to_json(indent=None) == '{"FOO":"hello"}' m2 = Model() assert json.loads(m2.to_json()) == {} @@ -595,7 +595,7 @@ class Model(BaseModel): assert json.loads(m3.to_json()) == {"FOO": None} assert json.loads(m3.to_json(exclude_none=True)) == {} - if not PYDANTIC_V2: + if PYDANTIC_V1: with pytest.raises(ValueError, match="warnings is only supported in Pydantic v2"): m.to_json(warnings=False) @@ -622,7 +622,7 @@ class Model(BaseModel): assert json.loads(m3.model_dump_json()) == {"foo": None} assert json.loads(m3.model_dump_json(exclude_none=True)) == {} - if not PYDANTIC_V2: + if PYDANTIC_V1: with pytest.raises(ValueError, match="round_trip is only supported in Pydantic v2"): m.model_dump_json(round_trip=True) @@ -679,12 +679,12 @@ class B(BaseModel): ) assert isinstance(m, A) assert m.type == "a" - if PYDANTIC_V2: - assert m.data == 100 # type: ignore[comparison-overlap] - else: + if PYDANTIC_V1: # pydantic v1 automatically converts inputs to strings # if the expected type is a str assert m.data == "100" + else: + assert m.data == 100 # type: ignore[comparison-overlap] def test_discriminated_unions_unknown_variant() -> None: @@ -768,12 +768,12 @@ class B(BaseModel): ) assert isinstance(m, A) assert m.foo_type == "a" - if PYDANTIC_V2: - assert m.data == 100 # type: ignore[comparison-overlap] - else: + if PYDANTIC_V1: # pydantic v1 automatically converts inputs to strings # if the expected type is a str assert m.data == "100" + else: + assert m.data == 100 # type: ignore[comparison-overlap] def test_discriminated_unions_overlapping_discriminators_invalid_data() -> None: @@ -833,7 +833,7 @@ class B(BaseModel): assert UnionType.__discriminator__ is discriminator -@pytest.mark.skipif(not PYDANTIC_V2, reason="TypeAliasType is not supported in Pydantic v1") +@pytest.mark.skipif(PYDANTIC_V1, reason="TypeAliasType is not supported in Pydantic v1") def test_type_alias_type() -> None: Alias = TypeAliasType("Alias", str) # pyright: ignore @@ -849,7 +849,7 @@ class Model(BaseModel): assert m.union == "bar" -@pytest.mark.skipif(not PYDANTIC_V2, reason="TypeAliasType is not supported in Pydantic v1") +@pytest.mark.skipif(PYDANTIC_V1, reason="TypeAliasType is not supported in Pydantic v1") def test_field_named_cls() -> None: class Model(BaseModel): cls: str @@ -936,7 +936,7 @@ class Type2(BaseModel): assert isinstance(model.value, InnerType2) -@pytest.mark.skipif(not PYDANTIC_V2, reason="this is only supported in pydantic v2 for now") +@pytest.mark.skipif(PYDANTIC_V1, reason="this is only supported in pydantic v2 for now") def test_extra_properties() -> None: class Item(BaseModel): prop: int diff --git a/tests/test_transform.py b/tests/test_transform.py index 8c5ab27a..c8f3477f 100644 --- a/tests/test_transform.py +++ b/tests/test_transform.py @@ -15,7 +15,7 @@ parse_datetime, async_transform as _async_transform, ) -from openlayer._compat import PYDANTIC_V2 +from openlayer._compat import PYDANTIC_V1 from openlayer._models import BaseModel _T = TypeVar("_T") @@ -189,7 +189,7 @@ class DateModel(BaseModel): @pytest.mark.asyncio async def test_iso8601_format(use_async: bool) -> None: dt = datetime.fromisoformat("2023-02-23T14:16:36.337692+00:00") - tz = "Z" if PYDANTIC_V2 else "+00:00" + tz = "+00:00" if PYDANTIC_V1 else "Z" assert await transform({"foo": dt}, DatetimeDict, use_async) == {"foo": "2023-02-23T14:16:36.337692+00:00"} # type: ignore[comparison-overlap] assert await transform(DatetimeModel(foo=dt), Any, use_async) == {"foo": "2023-02-23T14:16:36.337692" + tz} # type: ignore[comparison-overlap] @@ -297,11 +297,11 @@ async def test_pydantic_unknown_field(use_async: bool) -> None: @pytest.mark.asyncio async def test_pydantic_mismatched_types(use_async: bool) -> None: model = MyModel.construct(foo=True) - if PYDANTIC_V2: + if PYDANTIC_V1: + params = await transform(model, Any, use_async) + else: with pytest.warns(UserWarning): params = await transform(model, Any, use_async) - else: - params = await transform(model, Any, use_async) assert cast(Any, params) == {"foo": True} @@ -309,11 +309,11 @@ async def test_pydantic_mismatched_types(use_async: bool) -> None: @pytest.mark.asyncio async def test_pydantic_mismatched_object_type(use_async: bool) -> None: model = MyModel.construct(foo=MyModel.construct(hello="world")) - if PYDANTIC_V2: + if PYDANTIC_V1: + params = await transform(model, Any, use_async) + else: with pytest.warns(UserWarning): params = await transform(model, Any, use_async) - else: - params = await transform(model, Any, use_async) assert cast(Any, params) == {"foo": {"hello": "world"}} diff --git a/tests/test_utils/test_datetime_parse.py b/tests/test_utils/test_datetime_parse.py new file mode 100644 index 00000000..c93ea237 --- /dev/null +++ b/tests/test_utils/test_datetime_parse.py @@ -0,0 +1,110 @@ +""" +Copied from https://github.com/pydantic/pydantic/blob/v1.10.22/tests/test_datetime_parse.py +with modifications so it works without pydantic v1 imports. +""" + +from typing import Type, Union +from datetime import date, datetime, timezone, timedelta + +import pytest + +from openlayer._utils import parse_date, parse_datetime + + +def create_tz(minutes: int) -> timezone: + return timezone(timedelta(minutes=minutes)) + + +@pytest.mark.parametrize( + "value,result", + [ + # Valid inputs + ("1494012444.883309", date(2017, 5, 5)), + (b"1494012444.883309", date(2017, 5, 5)), + (1_494_012_444.883_309, date(2017, 5, 5)), + ("1494012444", date(2017, 5, 5)), + (1_494_012_444, date(2017, 5, 5)), + (0, date(1970, 1, 1)), + ("2012-04-23", date(2012, 4, 23)), + (b"2012-04-23", date(2012, 4, 23)), + ("2012-4-9", date(2012, 4, 9)), + (date(2012, 4, 9), date(2012, 4, 9)), + (datetime(2012, 4, 9, 12, 15), date(2012, 4, 9)), + # Invalid inputs + ("x20120423", ValueError), + ("2012-04-56", ValueError), + (19_999_999_999, date(2603, 10, 11)), # just before watershed + (20_000_000_001, date(1970, 8, 20)), # just after watershed + (1_549_316_052, date(2019, 2, 4)), # nowish in s + (1_549_316_052_104, date(2019, 2, 4)), # nowish in ms + (1_549_316_052_104_324, date(2019, 2, 4)), # nowish in μs + (1_549_316_052_104_324_096, date(2019, 2, 4)), # nowish in ns + ("infinity", date(9999, 12, 31)), + ("inf", date(9999, 12, 31)), + (float("inf"), date(9999, 12, 31)), + ("infinity ", date(9999, 12, 31)), + (int("1" + "0" * 100), date(9999, 12, 31)), + (1e1000, date(9999, 12, 31)), + ("-infinity", date(1, 1, 1)), + ("-inf", date(1, 1, 1)), + ("nan", ValueError), + ], +) +def test_date_parsing(value: Union[str, bytes, int, float], result: Union[date, Type[Exception]]) -> None: + if type(result) == type and issubclass(result, Exception): # pyright: ignore[reportUnnecessaryIsInstance] + with pytest.raises(result): + parse_date(value) + else: + assert parse_date(value) == result + + +@pytest.mark.parametrize( + "value,result", + [ + # Valid inputs + # values in seconds + ("1494012444.883309", datetime(2017, 5, 5, 19, 27, 24, 883_309, tzinfo=timezone.utc)), + (1_494_012_444.883_309, datetime(2017, 5, 5, 19, 27, 24, 883_309, tzinfo=timezone.utc)), + ("1494012444", datetime(2017, 5, 5, 19, 27, 24, tzinfo=timezone.utc)), + (b"1494012444", datetime(2017, 5, 5, 19, 27, 24, tzinfo=timezone.utc)), + (1_494_012_444, datetime(2017, 5, 5, 19, 27, 24, tzinfo=timezone.utc)), + # values in ms + ("1494012444000.883309", datetime(2017, 5, 5, 19, 27, 24, 883, tzinfo=timezone.utc)), + ("-1494012444000.883309", datetime(1922, 8, 29, 4, 32, 35, 999117, tzinfo=timezone.utc)), + (1_494_012_444_000, datetime(2017, 5, 5, 19, 27, 24, tzinfo=timezone.utc)), + ("2012-04-23T09:15:00", datetime(2012, 4, 23, 9, 15)), + ("2012-4-9 4:8:16", datetime(2012, 4, 9, 4, 8, 16)), + ("2012-04-23T09:15:00Z", datetime(2012, 4, 23, 9, 15, 0, 0, timezone.utc)), + ("2012-4-9 4:8:16-0320", datetime(2012, 4, 9, 4, 8, 16, 0, create_tz(-200))), + ("2012-04-23T10:20:30.400+02:30", datetime(2012, 4, 23, 10, 20, 30, 400_000, create_tz(150))), + ("2012-04-23T10:20:30.400+02", datetime(2012, 4, 23, 10, 20, 30, 400_000, create_tz(120))), + ("2012-04-23T10:20:30.400-02", datetime(2012, 4, 23, 10, 20, 30, 400_000, create_tz(-120))), + (b"2012-04-23T10:20:30.400-02", datetime(2012, 4, 23, 10, 20, 30, 400_000, create_tz(-120))), + (datetime(2017, 5, 5), datetime(2017, 5, 5)), + (0, datetime(1970, 1, 1, 0, 0, 0, tzinfo=timezone.utc)), + # Invalid inputs + ("x20120423091500", ValueError), + ("2012-04-56T09:15:90", ValueError), + ("2012-04-23T11:05:00-25:00", ValueError), + (19_999_999_999, datetime(2603, 10, 11, 11, 33, 19, tzinfo=timezone.utc)), # just before watershed + (20_000_000_001, datetime(1970, 8, 20, 11, 33, 20, 1000, tzinfo=timezone.utc)), # just after watershed + (1_549_316_052, datetime(2019, 2, 4, 21, 34, 12, 0, tzinfo=timezone.utc)), # nowish in s + (1_549_316_052_104, datetime(2019, 2, 4, 21, 34, 12, 104_000, tzinfo=timezone.utc)), # nowish in ms + (1_549_316_052_104_324, datetime(2019, 2, 4, 21, 34, 12, 104_324, tzinfo=timezone.utc)), # nowish in μs + (1_549_316_052_104_324_096, datetime(2019, 2, 4, 21, 34, 12, 104_324, tzinfo=timezone.utc)), # nowish in ns + ("infinity", datetime(9999, 12, 31, 23, 59, 59, 999999)), + ("inf", datetime(9999, 12, 31, 23, 59, 59, 999999)), + ("inf ", datetime(9999, 12, 31, 23, 59, 59, 999999)), + (1e50, datetime(9999, 12, 31, 23, 59, 59, 999999)), + (float("inf"), datetime(9999, 12, 31, 23, 59, 59, 999999)), + ("-infinity", datetime(1, 1, 1, 0, 0)), + ("-inf", datetime(1, 1, 1, 0, 0)), + ("nan", ValueError), + ], +) +def test_datetime_parsing(value: Union[str, bytes, int, float], result: Union[datetime, Type[Exception]]) -> None: + if type(result) == type and issubclass(result, Exception): # pyright: ignore[reportUnnecessaryIsInstance] + with pytest.raises(result): + parse_datetime(value) + else: + assert parse_datetime(value) == result diff --git a/tests/utils.py b/tests/utils.py index 1f672faf..1dfd80d4 100644 --- a/tests/utils.py +++ b/tests/utils.py @@ -19,7 +19,7 @@ is_annotated_type, is_type_alias_type, ) -from openlayer._compat import PYDANTIC_V2, field_outer_type, get_model_fields +from openlayer._compat import PYDANTIC_V1, field_outer_type, get_model_fields from openlayer._models import BaseModel BaseModelT = TypeVar("BaseModelT", bound=BaseModel) @@ -28,12 +28,12 @@ def assert_matches_model(model: type[BaseModelT], value: BaseModelT, *, path: list[str]) -> bool: for name, field in get_model_fields(model).items(): field_value = getattr(value, name) - if PYDANTIC_V2: - allow_none = False - else: + if PYDANTIC_V1: # in v1 nullability was structured differently # https://docs.pydantic.dev/2.0/migration/#required-optional-and-nullable-fields allow_none = getattr(field, "allow_none", False) + else: + allow_none = False assert_matches_type( field_outer_type(field), From ba68eabcbf19f74659f66cdff6eaed949e1296fa Mon Sep 17 00:00:00 2001 From: "stainless-app[bot]" <142633134+stainless-app[bot]@users.noreply.github.com> Date: Thu, 4 Sep 2025 03:00:12 +0000 Subject: [PATCH 3/3] release: 0.2.0-alpha.87 --- .release-please-manifest.json | 2 +- CHANGELOG.md | 9 +++++++++ pyproject.toml | 2 +- src/openlayer/_version.py | 2 +- 4 files changed, 12 insertions(+), 3 deletions(-) diff --git a/.release-please-manifest.json b/.release-please-manifest.json index 0bfbe6c9..e116b4e3 100644 --- a/.release-please-manifest.json +++ b/.release-please-manifest.json @@ -1,3 +1,3 @@ { - ".": "0.2.0-alpha.86" + ".": "0.2.0-alpha.87" } \ No newline at end of file diff --git a/CHANGELOG.md b/CHANGELOG.md index 324469d2..cd2cfdae 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,15 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/) and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.html). +## 0.2.0-alpha.87 (2025-09-04) + +Full Changelog: [v0.2.0-alpha.86...v0.2.0-alpha.87](https://github.com/openlayer-ai/openlayer-python/compare/v0.2.0-alpha.86...v0.2.0-alpha.87) + +### Features + +* improve future compat with pydantic v3 ([88a15df](https://github.com/openlayer-ai/openlayer-python/commit/88a15df047bc0b4ddf388dfc18693f363cc11c48)) +* **types:** replace List[str] with SequenceNotStr in params ([8838b80](https://github.com/openlayer-ai/openlayer-python/commit/8838b8041ae034bfe7c59a5cd259ffaba4138434)) + ## 0.2.0-alpha.86 (2025-09-02) Full Changelog: [v0.2.0-alpha.85...v0.2.0-alpha.86](https://github.com/openlayer-ai/openlayer-python/compare/v0.2.0-alpha.85...v0.2.0-alpha.86) diff --git a/pyproject.toml b/pyproject.toml index 9171503e..64cc87bb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openlayer" -version = "0.2.0-alpha.86" +version = "0.2.0-alpha.87" description = "The official Python library for the openlayer API" dynamic = ["readme"] license = "Apache-2.0" diff --git a/src/openlayer/_version.py b/src/openlayer/_version.py index bd3d3e72..315d2c29 100644 --- a/src/openlayer/_version.py +++ b/src/openlayer/_version.py @@ -1,4 +1,4 @@ # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. __title__ = "openlayer" -__version__ = "0.2.0-alpha.86" # x-release-please-version +__version__ = "0.2.0-alpha.87" # x-release-please-version