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1_fastapi_callee__utils__is_body_allowed_for_status_code__c43120258fa89bc20d6f8ee671b6ead9ab223fc7 | callee | fail-to-pass | https://github.com/fastapi/fastapi | c43120258fa89bc20d6f8ee671b6ead9ab223fc7 | function | is_body_allowed_for_status_code | utils.py | def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
if status_code is None:
return True
current_status_code = int(status_code)
return not (current_status_code < 200 or current_status_code in {204, 304})
| def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
if status_code is None:
return True
# Ref: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#patterned-fields-1
if status_code in {
"default",
"1XX",
"2XX",
"3XX",
"4XX",
"5XX",
}:
return True
current_status_code = int(status_code)
return not (current_status_code < 200 or current_status_code in {204, 205, 304})
| import functools
import re
import warnings
from dataclasses import is_dataclass
from enum import Enum
from typing import TYPE_CHECKING, Any, Dict, Optional, Set, Type, Union, cast
import fastapi
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from fastapi.openapi.constants import REF_PREFIX
from pydantic import BaseConfig, BaseModel, create_model
from pydantic.class_validators import Validator
from pydantic.fields import FieldInfo, ModelField, UndefinedType
from pydantic.schema import model_process_schema
from pydantic.utils import lenient_issubclass
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = name + path
operation_id = re.sub("[^0-9a-zA-Z_]", "_", operation_id)
operation_id = operation_id + "_" + method.lower()
return operation_id
def generate_unique_id(route: "APIRoute") -> str:
operation_id = route.name + route.path_format
operation_id = re.sub("[^0-9a-zA-Z_]", "_", operation_id)
assert route.methods
operation_id = operation_id + "_" + list(route.methods)[0].lower()
return operation_id
def deep_dict_update(main_dict: Dict[Any, Any], update_dict: Dict[Any, Any]) -> None:
for key, value in update_dict.items():
if (
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(value, dict)
):
deep_dict_update(main_dict[key], value)
else:
main_dict[key] = value
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| import functools
import re
import warnings
from dataclasses import is_dataclass
from enum import Enum
from typing import TYPE_CHECKING, Any, Dict, Optional, Set, Type, Union, cast
import fastapi
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from fastapi.openapi.constants import REF_PREFIX
from pydantic import BaseConfig, BaseModel, create_model
from pydantic.class_validators import Validator
from pydantic.fields import FieldInfo, ModelField, UndefinedType
from pydantic.schema import model_process_schema
from pydantic.utils import lenient_issubclass
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
if status_code is None:
return True
current_status_code = int(status_code)
return not (current_status_code < 200 or current_status_code in {204, 304})
def get_model_definitions(
*,
flat_models: Set[Union[Type[BaseModel], Type[Enum]]],
model_name_map: Dict[Union[Type[BaseModel], Type[Enum]], str],
) -> Dict[str, Any]:
definitions: Dict[str, Dict[str, Any]] = {}
for model in flat_models:
m_schema, m_definitions, m_nested_models = model_process_schema(
model, model_name_map=model_name_map, ref_prefix=REF_PREFIX
)
definitions.update(m_definitions)
model_name = model_name_map[model]
definitions[model_name] = m_schema
return definitions
def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
def create_response_field(
name: str,
type_: Type[Any],
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = None,
required: Union[bool, UndefinedType] = False,
model_config: Type[BaseConfig] = BaseConfig,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
) -> ModelField:
"""
Create a new response field. Raises if type_ is invalid.
"""
class_validators = class_validators or {}
field_info = field_info or FieldInfo()
response_field = functools.partial(
ModelField,
name=name,
type_=type_,
class_validators=class_validators,
default=default,
required=required,
model_config=model_config,
alias=alias,
)
try:
return response_field(field_info=field_info)
except RuntimeError:
raise fastapi.exceptions.FastAPIError(
f"Invalid args for response field! Hint: check that {type_} is a valid pydantic field type"
)
def create_cloned_field(
field: ModelField,
*,
cloned_types: Optional[Dict[Type[BaseModel], Type[BaseModel]]] = None,
) -> ModelField:
# _cloned_types has already cloned types, to support recursive models
if cloned_types is None:
cloned_types = dict()
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(
original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_response_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias
new_field.alias = field.alias
new_field.class_validators = field.class_validators
new_field.default = field.default
new_field.required = field.required
new_field.model_config = field.model_config
new_field.field_info = field.field_info
new_field.allow_none = field.allow_none
new_field.validate_always = field.validate_always
if field.sub_fields:
new_field.sub_fields = [
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields
]
if field.key_field:
new_field.key_field = create_cloned_field(
field.key_field, cloned_types=cloned_types
)
new_field.validators = field.validators
new_field.pre_validators = field.pre_validators
new_field.post_validators = field.post_validators
new_field.parse_json = field.parse_json
new_field.shape = field.shape
new_field.populate_validators()
return new_field
def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = name + path
operation_id = re.sub("[^0-9a-zA-Z_]", "_", operation_id)
operation_id = operation_id + "_" + method.lower()
return operation_id
def generate_unique_id(route: "APIRoute") -> str:
operation_id = route.name + route.path_format
operation_id = re.sub("[^0-9a-zA-Z_]", "_", operation_id)
assert route.methods
operation_id = operation_id + "_" + list(route.methods)[0].lower()
return operation_id
def deep_dict_update(main_dict: Dict[Any, Any], update_dict: Dict[Any, Any]) -> None:
for key, value in update_dict.items():
if (
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(value, dict)
):
deep_dict_update(main_dict[key], value)
else:
main_dict[key] = value
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| import re
import warnings
from dataclasses import is_dataclass
from typing import (
TYPE_CHECKING,
Any,
Dict,
MutableMapping,
Optional,
Set,
Type,
Union,
cast,
)
from weakref import WeakKeyDictionary
import fastapi
from fastapi._compat import (
PYDANTIC_V2,
BaseConfig,
ModelField,
PydanticSchemaGenerationError,
Undefined,
UndefinedType,
Validator,
lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from pydantic import BaseModel, create_model
from pydantic.fields import FieldInfo
from typing_extensions import Literal
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
# Cache for `create_cloned_field`
_CLONED_TYPES_CACHE: MutableMapping[Type[BaseModel], Type[BaseModel]] = (
WeakKeyDictionary()
)
def create_cloned_field(
field: ModelField,
*,
cloned_types: Optional[MutableMapping[Type[BaseModel],
Type[BaseModel]]] = None,
) -> ModelField:
if PYDANTIC_V2:
return field
# cloned_types caches already cloned types to support recursive models and improve
# performance by avoiding unnecessary cloning
if cloned_types is None:
cloned_types = _CLONED_TYPES_CACHE
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(
original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_model_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias # type: ignore[attr-defined]
new_field.alias = field.alias # type: ignore[misc]
# type: ignore[attr-defined]
new_field.class_validators = field.class_validators
new_field.default = field.default # type: ignore[misc]
new_field.required = field.required # type: ignore[misc]
new_field.model_config = field.model_config # type: ignore[attr-defined]
new_field.field_info = field.field_info
new_field.allow_none = field.allow_none # type: ignore[attr-defined]
# type: ignore[attr-defined]
new_field.validate_always = field.validate_always
if field.sub_fields: # type: ignore[attr-defined]
new_field.sub_fields = [ # type: ignore[attr-defined]
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields # type: ignore[attr-defined]
]
if field.key_field: # type: ignore[attr-defined]
new_field.key_field = create_cloned_field( # type: ignore[attr-defined]
field.key_field, # type: ignore[attr-defined]
cloned_types=cloned_types,
)
new_field.validators = field.validators # type: ignore[attr-defined]
# type: ignore[attr-defined]
new_field.pre_validators = field.pre_validators
# type: ignore[attr-defined]
new_field.post_validators = field.post_validators
new_field.parse_json = field.parse_json # type: ignore[attr-defined]
new_field.shape = field.shape # type: ignore[attr-defined]
new_field.populate_validators() # type: ignore[attr-defined]
return new_field
def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = f"{name}{path}"
operation_id = re.sub(r"\W", "_", operation_id)
operation_id = f"{operation_id}_{method.lower()}"
return operation_id
def generate_unique_id(route: "APIRoute") -> str:
operation_id = f"{route.name}{route.path_format}"
operation_id = re.sub(r"\W", "_", operation_id)
assert route.methods
operation_id = f"{operation_id}_{list(route.methods)[0].lower()}"
return operation_id
def deep_dict_update(main_dict: Dict[Any, Any], update_dict: Dict[Any, Any]) -> None:
for key, value in update_dict.items():
if (
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(value, dict)
):
deep_dict_update(main_dict[key], value)
elif (
key in main_dict
and isinstance(main_dict[key], list)
and isinstance(update_dict[key], list)
):
main_dict[key] = main_dict[key] + update_dict[key]
else:
main_dict[key] = value
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| import re
import warnings
from dataclasses import is_dataclass
from typing import (
TYPE_CHECKING,
Any,
Dict,
MutableMapping,
Optional,
Set,
Type,
Union,
cast,
)
from weakref import WeakKeyDictionary
import fastapi
from fastapi._compat import (
PYDANTIC_V2,
BaseConfig,
ModelField,
PydanticSchemaGenerationError,
Undefined,
UndefinedType,
Validator,
lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from pydantic import BaseModel, create_model
from pydantic.fields import FieldInfo
from typing_extensions import Literal
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
# Cache for `create_cloned_field`
_CLONED_TYPES_CACHE: MutableMapping[Type[BaseModel], Type[BaseModel]] = (
WeakKeyDictionary()
)
def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
if status_code is None:
return True
# Ref: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#patterned-fields-1
if status_code in {
"default",
"1XX",
"2XX",
"3XX",
"4XX",
"5XX",
}:
return True
current_status_code = int(status_code)
return not (current_status_code < 200 or current_status_code in {204, 205, 304})
def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
def create_model_field(
name: str,
type_: Any,
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = Undefined,
required: Union[bool, UndefinedType] = Undefined,
model_config: Type[BaseConfig] = BaseConfig,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
mode: Literal["validation", "serialization"] = "validation",
) -> ModelField:
class_validators = class_validators or {}
if PYDANTIC_V2:
field_info = field_info or FieldInfo(
annotation=type_, default=default, alias=alias
)
else:
field_info = field_info or FieldInfo()
kwargs = {"name": name, "field_info": field_info}
if PYDANTIC_V2:
kwargs.update({"mode": mode})
else:
kwargs.update(
{
"type_": type_,
"class_validators": class_validators,
"default": default,
"required": required,
"model_config": model_config,
"alias": alias,
}
)
try:
return ModelField(**kwargs) # type: ignore[arg-type]
except (RuntimeError, PydanticSchemaGenerationError):
raise fastapi.exceptions.FastAPIError(
"Invalid args for response field! Hint: "
f"check that {type_} is a valid Pydantic field type. "
"If you are using a return type annotation that is not a valid Pydantic "
"field (e.g. Union[Response, dict, None]) you can disable generating the "
"response model from the type annotation with the path operation decorator "
"parameter response_model=None. Read more: "
"https://fastapi.tiangolo.com/tutorial/response-model/"
) from None
def create_cloned_field(
field: ModelField,
*,
cloned_types: Optional[MutableMapping[Type[BaseModel], Type[BaseModel]]] = None,
) -> ModelField:
if PYDANTIC_V2:
return field
# cloned_types caches already cloned types to support recursive models and improve
# performance by avoiding unnecessary cloning
if cloned_types is None:
cloned_types = _CLONED_TYPES_CACHE
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_model_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias # type: ignore[attr-defined]
new_field.alias = field.alias # type: ignore[misc]
new_field.class_validators = field.class_validators # type: ignore[attr-defined]
new_field.default = field.default # type: ignore[misc]
new_field.required = field.required # type: ignore[misc]
new_field.model_config = field.model_config # type: ignore[attr-defined]
new_field.field_info = field.field_info
new_field.allow_none = field.allow_none # type: ignore[attr-defined]
new_field.validate_always = field.validate_always # type: ignore[attr-defined]
if field.sub_fields: # type: ignore[attr-defined]
new_field.sub_fields = [ # type: ignore[attr-defined]
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields # type: ignore[attr-defined]
]
if field.key_field: # type: ignore[attr-defined]
new_field.key_field = create_cloned_field( # type: ignore[attr-defined]
field.key_field, # type: ignore[attr-defined]
cloned_types=cloned_types,
)
new_field.validators = field.validators # type: ignore[attr-defined]
new_field.pre_validators = field.pre_validators # type: ignore[attr-defined]
new_field.post_validators = field.post_validators # type: ignore[attr-defined]
new_field.parse_json = field.parse_json # type: ignore[attr-defined]
new_field.shape = field.shape # type: ignore[attr-defined]
new_field.populate_validators() # type: ignore[attr-defined]
return new_field
def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = f"{name}{path}"
operation_id = re.sub(r"\W", "_", operation_id)
operation_id = f"{operation_id}_{method.lower()}"
return operation_id
def generate_unique_id(route: "APIRoute") -> str:
operation_id = f"{route.name}{route.path_format}"
operation_id = re.sub(r"\W", "_", operation_id)
assert route.methods
operation_id = f"{operation_id}_{list(route.methods)[0].lower()}"
return operation_id
def deep_dict_update(main_dict: Dict[Any, Any], update_dict: Dict[Any, Any]) -> None:
for key, value in update_dict.items():
if (
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(value, dict)
):
deep_dict_update(main_dict[key], value)
elif (
key in main_dict
and isinstance(main_dict[key], list)
and isinstance(update_dict[key], list)
):
main_dict[key] = main_dict[key] + update_dict[key]
else:
main_dict[key] = value
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| ============================= test session starts ==============================
platform linux -- Python 3.11.9, pytest-8.3.2, pluggy-1.5.0 -- /workspace/test_venv/bin/python
cachedir: .pytest_cache
rootdir: /workspace/test_repo
configfile: pyproject.toml
plugins: anyio-3.7.1, asyncio-0.24.0
asyncio: mode=Mode.STRICT, default_loop_scope=function
collecting ... collected 0 items / 1 error
==================================== ERRORS ====================================
_________ ERROR collecting tests/test_filter_pydantic_sub_model_pv2.py _________
ImportError while importing test module '/workspace/test_repo/tests/test_filter_pydantic_sub_model_pv2.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/local/lib/python3.11/importlib/__init__.py:126: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/test_filter_pydantic_sub_model_pv2.py:5: in <module>
from fastapi import Depends, FastAPI
fastapi/__init__.py:7: in <module>
from .applications import FastAPI as FastAPI
fastapi/applications.py:16: in <module>
from fastapi import routing
fastapi/routing.py:35: in <module>
from fastapi.dependencies.utils import (
fastapi/dependencies/utils.py:57: in <module>
from fastapi.utils import create_response_field, get_path_param_names
E ImportError: cannot import name 'create_response_field' from 'fastapi.utils' (/workspace/test_repo/fastapi/utils.py)
=========================== short test summary info ============================
ERROR tests/test_filter_pydantic_sub_model_pv2.py
!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!
=============================== 1 error in 0.61s ===============================
| {'total': 3, 'passed': 3, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, 'warning': 0, 'error': 0} | {'total': 1, 'passed': 0, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, 'warning': 0, 'error': 1} | ./test_repo/fastapi/utils.py | ./test_repo/tests/test_filter_pydantic_sub_model_pv2.py |
1_fastapi_callee__utils__get_path_param_names__b9d912c6380661647b51c322820fcb4ba08f32d2 | callee | fail-to-pass | https://github.com/fastapi/fastapi | b9d912c6380661647b51c322820fcb4ba08f32d2 | function | get_path_param_names | utils.py | def get_path_param_names(path: str):
return {item.strip("{}") for item in re.findall("{[^}]*}", path)}
| def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
| import re
from typing import Dict, Sequence, Set, Type
from starlette.routing import BaseRoute
from fastapi import routing
from fastapi.openapi.constants import REF_PREFIX
from pydantic import BaseModel
from pydantic.fields import Field
from pydantic.schema import get_flat_models_from_fields, model_process_schema
def get_flat_models_from_routes(routes: Sequence[BaseRoute]):
body_fields_from_routes = []
responses_from_routes = []
for route in routes:
if route.include_in_schema and isinstance(route, routing.APIRoute):
if route.body_field:
assert isinstance(
route.body_field, Field
), "A request body must be a Pydantic Field"
body_fields_from_routes.append(route.body_field)
if route.response_field:
responses_from_routes.append(route.response_field)
flat_models = get_flat_models_from_fields(
body_fields_from_routes + responses_from_routes
)
return flat_models
def get_model_definitions(
*, flat_models: Set[Type[BaseModel]], model_name_map: Dict[Type[BaseModel], str]
):
definitions: Dict[str, Dict] = {}
for model in flat_models:
m_schema, m_definitions = model_process_schema(
model, model_name_map=model_name_map, ref_prefix=REF_PREFIX
)
definitions.update(m_definitions)
model_name = model_name_map[model]
definitions[model_name] = m_schema
return definitions
| import re
from typing import Dict, Sequence, Set, Type
from starlette.routing import BaseRoute
from fastapi import routing
from fastapi.openapi.constants import REF_PREFIX
from pydantic import BaseModel
from pydantic.fields import Field
from pydantic.schema import get_flat_models_from_fields, model_process_schema
def get_flat_models_from_routes(routes: Sequence[BaseRoute]):
body_fields_from_routes = []
responses_from_routes = []
for route in routes:
if route.include_in_schema and isinstance(route, routing.APIRoute):
if route.body_field:
assert isinstance(
route.body_field, Field
), "A request body must be a Pydantic Field"
body_fields_from_routes.append(route.body_field)
if route.response_field:
responses_from_routes.append(route.response_field)
flat_models = get_flat_models_from_fields(
body_fields_from_routes + responses_from_routes
)
return flat_models
def get_model_definitions(
*, flat_models: Set[Type[BaseModel]], model_name_map: Dict[Type[BaseModel], str]
):
definitions: Dict[str, Dict] = {}
for model in flat_models:
m_schema, m_definitions = model_process_schema(
model, model_name_map=model_name_map, ref_prefix=REF_PREFIX
)
definitions.update(m_definitions)
model_name = model_name_map[model]
definitions[model_name] = m_schema
return definitions
def get_path_param_names(path: str):
return {item.strip("{}") for item in re.findall("{[^}]*}", path)}
| import re
import warnings
from dataclasses import is_dataclass
from typing import (
TYPE_CHECKING,
Any,
Dict,
MutableMapping,
Optional,
Set,
Type,
Union,
cast,
)
from weakref import WeakKeyDictionary
import fastapi
from fastapi._compat import (
PYDANTIC_V2,
BaseConfig,
ModelField,
PydanticSchemaGenerationError,
Undefined,
UndefinedType,
Validator,
lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from pydantic import BaseModel, create_model
from pydantic.fields import FieldInfo
from typing_extensions import Literal
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
# Cache for `create_cloned_field`
_CLONED_TYPES_CACHE: MutableMapping[Type[BaseModel], Type[BaseModel]] = (
WeakKeyDictionary()
)
def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
if status_code is None:
return True
# Ref: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#patterned-fields-1
if status_code in {
"default",
"1XX",
"2XX",
"3XX",
"4XX",
"5XX",
}:
return True
current_status_code = int(status_code)
return not (current_status_code < 200 or current_status_code in {204, 205, 304})
def create_cloned_field(
field: ModelField,
*,
cloned_types: Optional[MutableMapping[Type[BaseModel],
Type[BaseModel]]] = None,
) -> ModelField:
if PYDANTIC_V2:
return field
# cloned_types caches already cloned types to support recursive models and improve
# performance by avoiding unnecessary cloning
if cloned_types is None:
cloned_types = _CLONED_TYPES_CACHE
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(
original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_model_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias # type: ignore[attr-defined]
new_field.alias = field.alias # type: ignore[misc]
# type: ignore[attr-defined]
new_field.class_validators = field.class_validators
new_field.default = field.default # type: ignore[misc]
new_field.required = field.required # type: ignore[misc]
new_field.model_config = field.model_config # type: ignore[attr-defined]
new_field.field_info = field.field_info
new_field.allow_none = field.allow_none # type: ignore[attr-defined]
# type: ignore[attr-defined]
new_field.validate_always = field.validate_always
if field.sub_fields: # type: ignore[attr-defined]
new_field.sub_fields = [ # type: ignore[attr-defined]
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields # type: ignore[attr-defined]
]
if field.key_field: # type: ignore[attr-defined]
new_field.key_field = create_cloned_field( # type: ignore[attr-defined]
field.key_field, # type: ignore[attr-defined]
cloned_types=cloned_types,
)
new_field.validators = field.validators # type: ignore[attr-defined]
# type: ignore[attr-defined]
new_field.pre_validators = field.pre_validators
# type: ignore[attr-defined]
new_field.post_validators = field.post_validators
new_field.parse_json = field.parse_json # type: ignore[attr-defined]
new_field.shape = field.shape # type: ignore[attr-defined]
new_field.populate_validators() # type: ignore[attr-defined]
return new_field
def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = f"{name}{path}"
operation_id = re.sub(r"\W", "_", operation_id)
operation_id = f"{operation_id}_{method.lower()}"
return operation_id
def generate_unique_id(route: "APIRoute") -> str:
operation_id = f"{route.name}{route.path_format}"
operation_id = re.sub(r"\W", "_", operation_id)
assert route.methods
operation_id = f"{operation_id}_{list(route.methods)[0].lower()}"
return operation_id
def deep_dict_update(main_dict: Dict[Any, Any], update_dict: Dict[Any, Any]) -> None:
for key, value in update_dict.items():
if (
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(value, dict)
):
deep_dict_update(main_dict[key], value)
elif (
key in main_dict
and isinstance(main_dict[key], list)
and isinstance(update_dict[key], list)
):
main_dict[key] = main_dict[key] + update_dict[key]
else:
main_dict[key] = value
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| import re
import warnings
from dataclasses import is_dataclass
from typing import (
TYPE_CHECKING,
Any,
Dict,
MutableMapping,
Optional,
Set,
Type,
Union,
cast,
)
from weakref import WeakKeyDictionary
import fastapi
from fastapi._compat import (
PYDANTIC_V2,
BaseConfig,
ModelField,
PydanticSchemaGenerationError,
Undefined,
UndefinedType,
Validator,
lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from pydantic import BaseModel, create_model
from pydantic.fields import FieldInfo
from typing_extensions import Literal
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
# Cache for `create_cloned_field`
_CLONED_TYPES_CACHE: MutableMapping[Type[BaseModel], Type[BaseModel]] = (
WeakKeyDictionary()
)
def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
if status_code is None:
return True
# Ref: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#patterned-fields-1
if status_code in {
"default",
"1XX",
"2XX",
"3XX",
"4XX",
"5XX",
}:
return True
current_status_code = int(status_code)
return not (current_status_code < 200 or current_status_code in {204, 205, 304})
def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
def create_model_field(
name: str,
type_: Any,
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = Undefined,
required: Union[bool, UndefinedType] = Undefined,
model_config: Type[BaseConfig] = BaseConfig,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
mode: Literal["validation", "serialization"] = "validation",
) -> ModelField:
class_validators = class_validators or {}
if PYDANTIC_V2:
field_info = field_info or FieldInfo(
annotation=type_, default=default, alias=alias
)
else:
field_info = field_info or FieldInfo()
kwargs = {"name": name, "field_info": field_info}
if PYDANTIC_V2:
kwargs.update({"mode": mode})
else:
kwargs.update(
{
"type_": type_,
"class_validators": class_validators,
"default": default,
"required": required,
"model_config": model_config,
"alias": alias,
}
)
try:
return ModelField(**kwargs) # type: ignore[arg-type]
except (RuntimeError, PydanticSchemaGenerationError):
raise fastapi.exceptions.FastAPIError(
"Invalid args for response field! Hint: "
f"check that {type_} is a valid Pydantic field type. "
"If you are using a return type annotation that is not a valid Pydantic "
"field (e.g. Union[Response, dict, None]) you can disable generating the "
"response model from the type annotation with the path operation decorator "
"parameter response_model=None. Read more: "
"https://fastapi.tiangolo.com/tutorial/response-model/"
) from None
def create_cloned_field(
field: ModelField,
*,
cloned_types: Optional[MutableMapping[Type[BaseModel], Type[BaseModel]]] = None,
) -> ModelField:
if PYDANTIC_V2:
return field
# cloned_types caches already cloned types to support recursive models and improve
# performance by avoiding unnecessary cloning
if cloned_types is None:
cloned_types = _CLONED_TYPES_CACHE
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_model_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias # type: ignore[attr-defined]
new_field.alias = field.alias # type: ignore[misc]
new_field.class_validators = field.class_validators # type: ignore[attr-defined]
new_field.default = field.default # type: ignore[misc]
new_field.required = field.required # type: ignore[misc]
new_field.model_config = field.model_config # type: ignore[attr-defined]
new_field.field_info = field.field_info
new_field.allow_none = field.allow_none # type: ignore[attr-defined]
new_field.validate_always = field.validate_always # type: ignore[attr-defined]
if field.sub_fields: # type: ignore[attr-defined]
new_field.sub_fields = [ # type: ignore[attr-defined]
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields # type: ignore[attr-defined]
]
if field.key_field: # type: ignore[attr-defined]
new_field.key_field = create_cloned_field( # type: ignore[attr-defined]
field.key_field, # type: ignore[attr-defined]
cloned_types=cloned_types,
)
new_field.validators = field.validators # type: ignore[attr-defined]
new_field.pre_validators = field.pre_validators # type: ignore[attr-defined]
new_field.post_validators = field.post_validators # type: ignore[attr-defined]
new_field.parse_json = field.parse_json # type: ignore[attr-defined]
new_field.shape = field.shape # type: ignore[attr-defined]
new_field.populate_validators() # type: ignore[attr-defined]
return new_field
def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = f"{name}{path}"
operation_id = re.sub(r"\W", "_", operation_id)
operation_id = f"{operation_id}_{method.lower()}"
return operation_id
def generate_unique_id(route: "APIRoute") -> str:
operation_id = f"{route.name}{route.path_format}"
operation_id = re.sub(r"\W", "_", operation_id)
assert route.methods
operation_id = f"{operation_id}_{list(route.methods)[0].lower()}"
return operation_id
def deep_dict_update(main_dict: Dict[Any, Any], update_dict: Dict[Any, Any]) -> None:
for key, value in update_dict.items():
if (
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(value, dict)
):
deep_dict_update(main_dict[key], value)
elif (
key in main_dict
and isinstance(main_dict[key], list)
and isinstance(update_dict[key], list)
):
main_dict[key] = main_dict[key] + update_dict[key]
else:
main_dict[key] = value
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| ============================= test session starts ==============================
platform linux -- Python 3.11.9, pytest-8.3.2, pluggy-1.5.0 -- /workspace/test_venv/bin/python
cachedir: .pytest_cache
rootdir: /workspace/test_repo
configfile: pyproject.toml
plugins: anyio-3.7.1, asyncio-0.24.0
asyncio: mode=Mode.STRICT, default_loop_scope=function
collecting ... collected 0 items / 1 error
==================================== ERRORS ====================================
_________ ERROR collecting tests/test_filter_pydantic_sub_model_pv2.py _________
ImportError while importing test module '/workspace/test_repo/tests/test_filter_pydantic_sub_model_pv2.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/local/lib/python3.11/importlib/__init__.py:126: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/test_filter_pydantic_sub_model_pv2.py:5: in <module>
from fastapi import Depends, FastAPI
fastapi/__init__.py:7: in <module>
from .applications import FastAPI as FastAPI
fastapi/applications.py:16: in <module>
from fastapi import routing
fastapi/routing.py:35: in <module>
from fastapi.dependencies.utils import (
fastapi/dependencies/utils.py:57: in <module>
from fastapi.utils import create_response_field, get_path_param_names
E ImportError: cannot import name 'create_response_field' from 'fastapi.utils' (/workspace/test_repo/fastapi/utils.py)
=========================== short test summary info ============================
ERROR tests/test_filter_pydantic_sub_model_pv2.py
!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!
=============================== 1 error in 0.60s ===============================
| {'total': 3, 'passed': 3, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, 'warning': 0, 'error': 0} | {'total': 1, 'passed': 0, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, 'warning': 0, 'error': 1} | ./test_repo/fastapi/utils.py | ./test_repo/tests/test_filter_pydantic_sub_model_pv2.py |
1_fastapi_callee__utils__create_cloned_field__aa84ac8e3e305d76e71c0c1b31237517948fa12f | callee | fail-to-pass | https://github.com/fastapi/fastapi | aa84ac8e3e305d76e71c0c1b31237517948fa12f | function | create_cloned_field | utils.py | def create_cloned_field(field: Field) -> Field:
original_type = field.type_
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = create_model( # type: ignore
original_type.__name__,
__config__=original_type.__config__,
__validators__=original_type.__validators__,
)
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = f
new_field = Field(
name=field.name,
type_=use_type,
class_validators={},
default=None,
required=False,
model_config=BaseConfig,
schema=Schema(None),
)
new_field.has_alias = field.has_alias
new_field.alias = field.alias
new_field.class_validators = field.class_validators
new_field.default = field.default
new_field.required = field.required
new_field.model_config = field.model_config
new_field.schema = field.schema
new_field.allow_none = field.allow_none
new_field.validate_always = field.validate_always
if field.sub_fields:
new_field.sub_fields = [
create_cloned_field(sub_field) for sub_field in field.sub_fields
]
if field.key_field:
new_field.key_field = create_cloned_field(field.key_field)
new_field.validators = field.validators
new_field.whole_pre_validators = field.whole_pre_validators
new_field.whole_post_validators = field.whole_post_validators
new_field.parse_json = field.parse_json
new_field.shape = field.shape
new_field._populate_validators()
return new_field
| def create_cloned_field(
field: ModelField,
*,
cloned_types: Optional[MutableMapping[Type[BaseModel],
Type[BaseModel]]] = None,
) -> ModelField:
if PYDANTIC_V2:
return field
# cloned_types caches already cloned types to support recursive models and improve
# performance by avoiding unnecessary cloning
if cloned_types is None:
cloned_types = _CLONED_TYPES_CACHE
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(
original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_model_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias # type: ignore[attr-defined]
new_field.alias = field.alias # type: ignore[misc]
# type: ignore[attr-defined]
new_field.class_validators = field.class_validators
new_field.default = field.default # type: ignore[misc]
new_field.required = field.required # type: ignore[misc]
new_field.model_config = field.model_config # type: ignore[attr-defined]
new_field.field_info = field.field_info
new_field.allow_none = field.allow_none # type: ignore[attr-defined]
# type: ignore[attr-defined]
new_field.validate_always = field.validate_always
if field.sub_fields: # type: ignore[attr-defined]
new_field.sub_fields = [ # type: ignore[attr-defined]
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields # type: ignore[attr-defined]
]
if field.key_field: # type: ignore[attr-defined]
new_field.key_field = create_cloned_field( # type: ignore[attr-defined]
field.key_field, # type: ignore[attr-defined]
cloned_types=cloned_types,
)
new_field.validators = field.validators # type: ignore[attr-defined]
# type: ignore[attr-defined]
new_field.pre_validators = field.pre_validators
# type: ignore[attr-defined]
new_field.post_validators = field.post_validators
new_field.parse_json = field.parse_json # type: ignore[attr-defined]
new_field.shape = field.shape # type: ignore[attr-defined]
new_field.populate_validators() # type: ignore[attr-defined]
return new_field
| import re
from typing import Any, Dict, List, Sequence, Set, Type, cast
from fastapi import routing
from fastapi.openapi.constants import REF_PREFIX
from pydantic import BaseConfig, BaseModel, Schema, create_model
from pydantic.fields import Field
from pydantic.schema import get_flat_models_from_fields, model_process_schema
from pydantic.utils import lenient_issubclass
from starlette.routing import BaseRoute
def get_flat_models_from_routes(
routes: Sequence[Type[BaseRoute]]
) -> Set[Type[BaseModel]]:
body_fields_from_routes: List[Field] = []
responses_from_routes: List[Field] = []
for route in routes:
if getattr(route, "include_in_schema", None) and isinstance(
route, routing.APIRoute
):
if route.body_field:
assert isinstance(
route.body_field, Field
), "A request body must be a Pydantic Field"
body_fields_from_routes.append(route.body_field)
if route.response_field:
responses_from_routes.append(route.response_field)
if route.response_fields:
responses_from_routes.extend(route.response_fields.values())
flat_models = get_flat_models_from_fields(
body_fields_from_routes + responses_from_routes, known_models=set()
)
return flat_models
def get_model_definitions(
*, flat_models: Set[Type[BaseModel]], model_name_map: Dict[Type[BaseModel], str]
) -> Dict[str, Any]:
definitions: Dict[str, Dict] = {}
for model in flat_models:
m_schema, m_definitions = model_process_schema(
model, model_name_map=model_name_map, ref_prefix=REF_PREFIX
)
definitions.update(m_definitions)
model_name = model_name_map[model]
definitions[model_name] = m_schema
return definitions
def get_path_param_names(path: str) -> Set[str]:
return {item.strip("{}") for item in re.findall("{[^}]*}", path)}
default = None,
required = False,
model_config = BaseConfig,
schema = Schema(None),
)
new_field.has_alias= field.has_alias
new_field.alias= field.alias
new_field.class_validators= field.class_validators
new_field.default= field.default
new_field.required= field.required
new_field.model_config= field.model_config
new_field.schema= field.schema
new_field.allow_none= field.allow_none
new_field.validate_always= field.validate_always
if field.sub_fields:
new_field.sub_fields= [
create_cloned_field(sub_field) for sub_field in field.sub_fields
]
if field.key_field:
new_field.key_field = create_cloned_field(field.key_field)
new_field.validators = field.validators
new_field.whole_pre_validators = field.whole_pre_validators
new_field.whole_post_validators = field.whole_post_validators
new_field.parse_json = field.parse_json
new_field.shape = field.shape
new_field._populate_validators()
return new_field
| import re
from typing import Any, Dict, List, Sequence, Set, Type, cast
from fastapi import routing
from fastapi.openapi.constants import REF_PREFIX
from pydantic import BaseConfig, BaseModel, Schema, create_model
from pydantic.fields import Field
from pydantic.schema import get_flat_models_from_fields, model_process_schema
from pydantic.utils import lenient_issubclass
from starlette.routing import BaseRoute
def get_flat_models_from_routes(
routes: Sequence[Type[BaseRoute]]
) -> Set[Type[BaseModel]]:
body_fields_from_routes: List[Field] = []
responses_from_routes: List[Field] = []
for route in routes:
if getattr(route, "include_in_schema", None) and isinstance(
route, routing.APIRoute
):
if route.body_field:
assert isinstance(
route.body_field, Field
), "A request body must be a Pydantic Field"
body_fields_from_routes.append(route.body_field)
if route.response_field:
responses_from_routes.append(route.response_field)
if route.response_fields:
responses_from_routes.extend(route.response_fields.values())
flat_models = get_flat_models_from_fields(
body_fields_from_routes + responses_from_routes, known_models=set()
)
return flat_models
def get_model_definitions(
*, flat_models: Set[Type[BaseModel]], model_name_map: Dict[Type[BaseModel], str]
) -> Dict[str, Any]:
definitions: Dict[str, Dict] = {}
for model in flat_models:
m_schema, m_definitions = model_process_schema(
model, model_name_map=model_name_map, ref_prefix=REF_PREFIX
)
definitions.update(m_definitions)
model_name = model_name_map[model]
definitions[model_name] = m_schema
return definitions
def get_path_param_names(path: str) -> Set[str]:
return {item.strip("{}") for item in re.findall("{[^}]*}", path)}
def create_cloned_field(field: Field) -> Field:
original_type = field.type_
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = create_model( # type: ignore
original_type.__name__,
__config__=original_type.__config__,
__validators__=original_type.__validators__,
)
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = f
new_field = Field(
name=field.name,
type_=use_type,
class_validators={},
default=None,
required=False,
model_config=BaseConfig,
schema=Schema(None),
)
new_field.has_alias = field.has_alias
new_field.alias = field.alias
new_field.class_validators = field.class_validators
new_field.default = field.default
new_field.required = field.required
new_field.model_config = field.model_config
new_field.schema = field.schema
new_field.allow_none = field.allow_none
new_field.validate_always = field.validate_always
if field.sub_fields:
new_field.sub_fields = [
create_cloned_field(sub_field) for sub_field in field.sub_fields
]
if field.key_field:
new_field.key_field = create_cloned_field(field.key_field)
new_field.validators = field.validators
new_field.whole_pre_validators = field.whole_pre_validators
new_field.whole_post_validators = field.whole_post_validators
new_field.parse_json = field.parse_json
new_field.shape = field.shape
new_field._populate_validators()
return new_field
| import re
import warnings
from dataclasses import is_dataclass
from typing import (
TYPE_CHECKING,
Any,
Dict,
MutableMapping,
Optional,
Set,
Type,
Union,
cast,
)
from weakref import WeakKeyDictionary
import fastapi
from fastapi._compat import (
PYDANTIC_V2,
BaseConfig,
ModelField,
PydanticSchemaGenerationError,
Undefined,
UndefinedType,
Validator,
lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from pydantic import BaseModel, create_model
from pydantic.fields import FieldInfo
from typing_extensions import Literal
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
# Cache for `create_cloned_field`
_CLONED_TYPES_CACHE: MutableMapping[Type[BaseModel], Type[BaseModel]] = (
WeakKeyDictionary()
)
def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
if status_code is None:
return True
# Ref: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#patterned-fields-1
if status_code in {
"default",
"1XX",
"2XX",
"3XX",
"4XX",
"5XX",
}:
return True
current_status_code = int(status_code)
return not (current_status_code < 200 or current_status_code in {204, 205, 304})
def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
def create_model_field(
name: str,
type_: Any,
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = Undefined,
required: Union[bool, UndefinedType] = Undefined,
model_config: Type[BaseConfig] = BaseConfig,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
mode: Literal["validation", "serialization"] = "validation",
) -> ModelField:
class_validators = class_validators or {}
if PYDANTIC_V2:
field_info = field_info or FieldInfo(
annotation=type_, default=default, alias=alias
)
else:
field_info = field_info or FieldInfo()
kwargs = {"name": name, "field_info": field_info}
if PYDANTIC_V2:
kwargs.update({"mode": mode})
else:
kwargs.update(
{
"type_": type_,
"class_validators": class_validators,
"default": default,
"required": required,
"model_config": model_config,
"alias": alias,
}
)
try:
return ModelField(**kwargs) # type: ignore[arg-type]
except (RuntimeError, PydanticSchemaGenerationError):
raise fastapi.exceptions.FastAPIError(
"Invalid args for response field! Hint: "
f"check that {type_} is a valid Pydantic field type. "
"If you are using a return type annotation that is not a valid Pydantic "
"field (e.g. Union[Response, dict, None]) you can disable generating the "
"response model from the type annotation with the path operation decorator "
"parameter response_model=None. Read more: "
"https://fastapi.tiangolo.com/tutorial/response-model/"
) from None
def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = f"{name}{path}"
operation_id = re.sub(r"\W", "_", operation_id)
operation_id = f"{operation_id}_{method.lower()}"
return operation_id
def generate_unique_id(route: "APIRoute") -> str:
operation_id = f"{route.name}{route.path_format}"
operation_id = re.sub(r"\W", "_", operation_id)
assert route.methods
operation_id = f"{operation_id}_{list(route.methods)[0].lower()}"
return operation_id
def deep_dict_update(main_dict: Dict[Any, Any], update_dict: Dict[Any, Any]) -> None:
for key, value in update_dict.items():
if (
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(value, dict)
):
deep_dict_update(main_dict[key], value)
elif (
key in main_dict
and isinstance(main_dict[key], list)
and isinstance(update_dict[key], list)
):
main_dict[key] = main_dict[key] + update_dict[key]
else:
main_dict[key] = value
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| import re
import warnings
from dataclasses import is_dataclass
from typing import (
TYPE_CHECKING,
Any,
Dict,
MutableMapping,
Optional,
Set,
Type,
Union,
cast,
)
from weakref import WeakKeyDictionary
import fastapi
from fastapi._compat import (
PYDANTIC_V2,
BaseConfig,
ModelField,
PydanticSchemaGenerationError,
Undefined,
UndefinedType,
Validator,
lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from pydantic import BaseModel, create_model
from pydantic.fields import FieldInfo
from typing_extensions import Literal
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
# Cache for `create_cloned_field`
_CLONED_TYPES_CACHE: MutableMapping[Type[BaseModel], Type[BaseModel]] = (
WeakKeyDictionary()
)
def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
if status_code is None:
return True
# Ref: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#patterned-fields-1
if status_code in {
"default",
"1XX",
"2XX",
"3XX",
"4XX",
"5XX",
}:
return True
current_status_code = int(status_code)
return not (current_status_code < 200 or current_status_code in {204, 205, 304})
def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
def create_model_field(
name: str,
type_: Any,
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = Undefined,
required: Union[bool, UndefinedType] = Undefined,
model_config: Type[BaseConfig] = BaseConfig,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
mode: Literal["validation", "serialization"] = "validation",
) -> ModelField:
class_validators = class_validators or {}
if PYDANTIC_V2:
field_info = field_info or FieldInfo(
annotation=type_, default=default, alias=alias
)
else:
field_info = field_info or FieldInfo()
kwargs = {"name": name, "field_info": field_info}
if PYDANTIC_V2:
kwargs.update({"mode": mode})
else:
kwargs.update(
{
"type_": type_,
"class_validators": class_validators,
"default": default,
"required": required,
"model_config": model_config,
"alias": alias,
}
)
try:
return ModelField(**kwargs) # type: ignore[arg-type]
except (RuntimeError, PydanticSchemaGenerationError):
raise fastapi.exceptions.FastAPIError(
"Invalid args for response field! Hint: "
f"check that {type_} is a valid Pydantic field type. "
"If you are using a return type annotation that is not a valid Pydantic "
"field (e.g. Union[Response, dict, None]) you can disable generating the "
"response model from the type annotation with the path operation decorator "
"parameter response_model=None. Read more: "
"https://fastapi.tiangolo.com/tutorial/response-model/"
) from None
def create_cloned_field(
field: ModelField,
*,
cloned_types: Optional[MutableMapping[Type[BaseModel], Type[BaseModel]]] = None,
) -> ModelField:
if PYDANTIC_V2:
return field
# cloned_types caches already cloned types to support recursive models and improve
# performance by avoiding unnecessary cloning
if cloned_types is None:
cloned_types = _CLONED_TYPES_CACHE
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_model_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias # type: ignore[attr-defined]
new_field.alias = field.alias # type: ignore[misc]
new_field.class_validators = field.class_validators # type: ignore[attr-defined]
new_field.default = field.default # type: ignore[misc]
new_field.required = field.required # type: ignore[misc]
new_field.model_config = field.model_config # type: ignore[attr-defined]
new_field.field_info = field.field_info
new_field.allow_none = field.allow_none # type: ignore[attr-defined]
new_field.validate_always = field.validate_always # type: ignore[attr-defined]
if field.sub_fields: # type: ignore[attr-defined]
new_field.sub_fields = [ # type: ignore[attr-defined]
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields # type: ignore[attr-defined]
]
if field.key_field: # type: ignore[attr-defined]
new_field.key_field = create_cloned_field( # type: ignore[attr-defined]
field.key_field, # type: ignore[attr-defined]
cloned_types=cloned_types,
)
new_field.validators = field.validators # type: ignore[attr-defined]
new_field.pre_validators = field.pre_validators # type: ignore[attr-defined]
new_field.post_validators = field.post_validators # type: ignore[attr-defined]
new_field.parse_json = field.parse_json # type: ignore[attr-defined]
new_field.shape = field.shape # type: ignore[attr-defined]
new_field.populate_validators() # type: ignore[attr-defined]
return new_field
def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = f"{name}{path}"
operation_id = re.sub(r"\W", "_", operation_id)
operation_id = f"{operation_id}_{method.lower()}"
return operation_id
def generate_unique_id(route: "APIRoute") -> str:
operation_id = f"{route.name}{route.path_format}"
operation_id = re.sub(r"\W", "_", operation_id)
assert route.methods
operation_id = f"{operation_id}_{list(route.methods)[0].lower()}"
return operation_id
def deep_dict_update(main_dict: Dict[Any, Any], update_dict: Dict[Any, Any]) -> None:
for key, value in update_dict.items():
if (
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(value, dict)
):
deep_dict_update(main_dict[key], value)
elif (
key in main_dict
and isinstance(main_dict[key], list)
and isinstance(update_dict[key], list)
):
main_dict[key] = main_dict[key] + update_dict[key]
else:
main_dict[key] = value
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| ============================= test session starts ==============================
platform linux -- Python 3.11.9, pytest-8.3.2, pluggy-1.5.0 -- /workspace/test_venv/bin/python
cachedir: .pytest_cache
rootdir: /workspace/test_repo
configfile: pyproject.toml
plugins: anyio-3.7.1, asyncio-0.24.0
asyncio: mode=Mode.STRICT, default_loop_scope=function
collecting ... collected 0 items / 1 error
==================================== ERRORS ====================================
_________ ERROR collecting tests/test_filter_pydantic_sub_model_pv2.py _________
tests/test_filter_pydantic_sub_model_pv2.py:5: in <module>
from fastapi import Depends, FastAPI
fastapi/__init__.py:7: in <module>
from .applications import FastAPI as FastAPI
fastapi/applications.py:16: in <module>
from fastapi import routing
fastapi/routing.py:35: in <module>
from fastapi.dependencies.utils import (
fastapi/dependencies/utils.py:57: in <module>
from fastapi.utils import create_response_field, get_path_param_names
fastapi/utils.py:109: in <module>
def create_cloned_field(field: Field) -> Field:
E NameError: name 'Field' is not defined
=========================== short test summary info ============================
ERROR tests/test_filter_pydantic_sub_model_pv2.py - NameError: name 'Field' i...
!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!
=============================== 1 error in 0.60s ===============================
| {'total': 3, 'passed': 3, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, 'warning': 0, 'error': 0} | {'total': 1, 'passed': 0, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, 'warning': 0, 'error': 1} | ./test_repo/fastapi/utils.py | ./test_repo/tests/test_filter_pydantic_sub_model_pv2.py |
1_fastapi_callee__utils__generate_operation_id_for_path__687065509b047a642acd1d281d6d68c6698509b1 | callee | fail-to-pass | https://github.com/fastapi/fastapi | 687065509b047a642acd1d281d6d68c6698509b1 | function | generate_operation_id_for_path | utils.py | def generate_operation_id_for_path(*, name: str, path: str, method: str) -> str:
operation_id = name + path
operation_id = operation_id.replace(
"{", "_").replace("}", "_").replace("/", "_")
operation_id = operation_id + "_" + method.lower()
return operation_id
| def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = f"{name}{path}"
operation_id = re.sub(r"\W", "_", operation_id)
operation_id = f"{operation_id}_{method.lower()}"
return operation_id
| import re
from typing import Any, Dict, List, Sequence, Set, Type, cast
from fastapi import routing
from fastapi.openapi.constants import REF_PREFIX
from pydantic import BaseConfig, BaseModel, Schema, create_model
from pydantic.fields import Field
from pydantic.schema import get_flat_models_from_fields, model_process_schema
from pydantic.utils import lenient_issubclass
from starlette.routing import BaseRoute
def get_flat_models_from_routes(routes: Sequence[BaseRoute]) -> Set[Type[BaseModel]]:
body_fields_from_routes: List[Field] = []
responses_from_routes: List[Field] = []
for route in routes:
if getattr(route, "include_in_schema", None) and isinstance(
route, routing.APIRoute
):
if route.body_field:
assert isinstance(
route.body_field, Field
), "A request body must be a Pydantic Field"
body_fields_from_routes.append(route.body_field)
if route.response_field:
responses_from_routes.append(route.response_field)
if route.response_fields:
responses_from_routes.extend(route.response_fields.values())
flat_models = get_flat_models_from_fields(
body_fields_from_routes + responses_from_routes, known_models=set()
)
return flat_models
def get_model_definitions(
*, flat_models: Set[Type[BaseModel]], model_name_map: Dict[Type[BaseModel], str]
) -> Dict[str, Any]:
definitions: Dict[str, Dict] = {}
for model in flat_models:
m_schema, m_definitions = model_process_schema(
model, model_name_map=model_name_map, ref_prefix=REF_PREFIX
)
definitions.update(m_definitions)
model_name = model_name_map[model]
definitions[model_name] = m_schema
return definitions
def get_path_param_names(path: str) -> Set[str]:
return {item.strip("{}") for item in re.findall("{[^}]*}", path)}
def create_cloned_field(field: Field) -> Field:
original_type = field.type_
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = create_model( # type: ignore
original_type.__name__,
__config__=original_type.__config__,
__validators__=original_type.__validators__,
)
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = f
new_field = Field(
name=field.name,
type_=use_type,
class_validators={},
default=None,
required=False,
model_config=BaseConfig,
schema=Schema(None),
)
new_field.has_alias = field.has_alias
new_field.alias = field.alias
new_field.class_validators = field.class_validators
new_field.default = field.default
new_field.required = field.required
new_field.model_config = field.model_config
new_field.schema = field.schema
new_field.allow_none = field.allow_none
new_field.validate_always = field.validate_always
if field.sub_fields:
new_field.sub_fields = [
create_cloned_field(sub_field) for sub_field in field.sub_fields
]
if field.key_field:
new_field.key_field = create_cloned_field(field.key_field)
new_field.validators = field.validators
new_field.whole_pre_validators = field.whole_pre_validators
new_field.whole_post_validators = field.whole_post_validators
new_field.parse_json = field.parse_json
new_field.shape = field.shape
new_field._populate_validators()
return new_field
def generate_operation_id_for_path(*, name: str, path: str, method: str) -> str:
operation_id = name + path
operation_id = operation_id.replace(
"{", "_").replace("}", "_").replace("/", "_")
operation_id = operation_id + "_" + method.lower()
return operation_id
| import re
from typing import Any, Dict, List, Sequence, Set, Type, cast
from fastapi import routing
from fastapi.openapi.constants import REF_PREFIX
from pydantic import BaseConfig, BaseModel, Schema, create_model
from pydantic.fields import Field
from pydantic.schema import get_flat_models_from_fields, model_process_schema
from pydantic.utils import lenient_issubclass
from starlette.routing import BaseRoute
def get_flat_models_from_routes(routes: Sequence[BaseRoute]) -> Set[Type[BaseModel]]:
body_fields_from_routes: List[Field] = []
responses_from_routes: List[Field] = []
for route in routes:
if getattr(route, "include_in_schema", None) and isinstance(
route, routing.APIRoute
):
if route.body_field:
assert isinstance(
route.body_field, Field
), "A request body must be a Pydantic Field"
body_fields_from_routes.append(route.body_field)
if route.response_field:
responses_from_routes.append(route.response_field)
if route.response_fields:
responses_from_routes.extend(route.response_fields.values())
flat_models = get_flat_models_from_fields(
body_fields_from_routes + responses_from_routes, known_models=set()
)
return flat_models
def get_model_definitions(
*, flat_models: Set[Type[BaseModel]], model_name_map: Dict[Type[BaseModel], str]
) -> Dict[str, Any]:
definitions: Dict[str, Dict] = {}
for model in flat_models:
m_schema, m_definitions = model_process_schema(
model, model_name_map=model_name_map, ref_prefix=REF_PREFIX
)
definitions.update(m_definitions)
model_name = model_name_map[model]
definitions[model_name] = m_schema
return definitions
def get_path_param_names(path: str) -> Set[str]:
return {item.strip("{}") for item in re.findall("{[^}]*}", path)}
def create_cloned_field(field: Field) -> Field:
original_type = field.type_
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = create_model( # type: ignore
original_type.__name__,
__config__=original_type.__config__,
__validators__=original_type.__validators__,
)
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = f
new_field = Field(
name=field.name,
type_=use_type,
class_validators={},
default=None,
required=False,
model_config=BaseConfig,
schema=Schema(None),
)
new_field.has_alias = field.has_alias
new_field.alias = field.alias
new_field.class_validators = field.class_validators
new_field.default = field.default
new_field.required = field.required
new_field.model_config = field.model_config
new_field.schema = field.schema
new_field.allow_none = field.allow_none
new_field.validate_always = field.validate_always
if field.sub_fields:
new_field.sub_fields = [
create_cloned_field(sub_field) for sub_field in field.sub_fields
]
if field.key_field:
new_field.key_field = create_cloned_field(field.key_field)
new_field.validators = field.validators
new_field.whole_pre_validators = field.whole_pre_validators
new_field.whole_post_validators = field.whole_post_validators
new_field.parse_json = field.parse_json
new_field.shape = field.shape
new_field._populate_validators()
return new_field
def generate_operation_id_for_path(*, name: str, path: str, method: str) -> str:
operation_id = name + path
operation_id = operation_id.replace(
"{", "_").replace("}", "_").replace("/", "_")
operation_id = operation_id + "_" + method.lower()
return operation_id
| import re
import warnings
from dataclasses import is_dataclass
from typing import (
TYPE_CHECKING,
Any,
Dict,
MutableMapping,
Optional,
Set,
Type,
Union,
cast,
)
from weakref import WeakKeyDictionary
import fastapi
from fastapi._compat import (
PYDANTIC_V2,
BaseConfig,
ModelField,
PydanticSchemaGenerationError,
Undefined,
UndefinedType,
Validator,
lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from pydantic import BaseModel, create_model
from pydantic.fields import FieldInfo
from typing_extensions import Literal
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
# Cache for `create_cloned_field`
_CLONED_TYPES_CACHE: MutableMapping[Type[BaseModel], Type[BaseModel]] = (
WeakKeyDictionary()
)
def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
if status_code is None:
return True
# Ref: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#patterned-fields-1
if status_code in {
"default",
"1XX",
"2XX",
"3XX",
"4XX",
"5XX",
}:
return True
current_status_code = int(status_code)
return not (current_status_code < 200 or current_status_code in {204, 205, 304})
def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
def create_model_field(
name: str,
type_: Any,
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = Undefined,
required: Union[bool, UndefinedType] = Undefined,
model_config: Type[BaseConfig] = BaseConfig,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
mode: Literal["validation", "serialization"] = "validation",
) -> ModelField:
class_validators = class_validators or {}
if PYDANTIC_V2:
field_info = field_info or FieldInfo(
annotation=type_, default=default, alias=alias
)
else:
field_info = field_info or FieldInfo()
kwargs = {"name": name, "field_info": field_info}
if PYDANTIC_V2:
kwargs.update({"mode": mode})
else:
kwargs.update(
{
"type_": type_,
"class_validators": class_validators,
"default": default,
"required": required,
"model_config": model_config,
"alias": alias,
}
)
try:
return ModelField(**kwargs) # type: ignore[arg-type]
except (RuntimeError, PydanticSchemaGenerationError):
raise fastapi.exceptions.FastAPIError(
"Invalid args for response field! Hint: "
f"check that {type_} is a valid Pydantic field type. "
"If you are using a return type annotation that is not a valid Pydantic "
"field (e.g. Union[Response, dict, None]) you can disable generating the "
"response model from the type annotation with the path operation decorator "
"parameter response_model=None. Read more: "
"https://fastapi.tiangolo.com/tutorial/response-model/"
) from None
def create_cloned_field(
field: ModelField,
*,
cloned_types: Optional[MutableMapping[Type[BaseModel],
Type[BaseModel]]] = None,
) -> ModelField:
if PYDANTIC_V2:
return field
# cloned_types caches already cloned types to support recursive models and improve
# performance by avoiding unnecessary cloning
if cloned_types is None:
cloned_types = _CLONED_TYPES_CACHE
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(
original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_model_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias # type: ignore[attr-defined]
new_field.alias = field.alias # type: ignore[misc]
# type: ignore[attr-defined]
new_field.class_validators = field.class_validators
new_field.default = field.default # type: ignore[misc]
new_field.required = field.required # type: ignore[misc]
new_field.model_config = field.model_config # type: ignore[attr-defined]
new_field.field_info = field.field_info
new_field.allow_none = field.allow_none # type: ignore[attr-defined]
# type: ignore[attr-defined]
new_field.validate_always = field.validate_always
if field.sub_fields: # type: ignore[attr-defined]
new_field.sub_fields = [ # type: ignore[attr-defined]
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields # type: ignore[attr-defined]
]
if field.key_field: # type: ignore[attr-defined]
new_field.key_field = create_cloned_field( # type: ignore[attr-defined]
field.key_field, # type: ignore[attr-defined]
cloned_types=cloned_types,
)
new_field.validators = field.validators # type: ignore[attr-defined]
# type: ignore[attr-defined]
new_field.pre_validators = field.pre_validators
# type: ignore[attr-defined]
new_field.post_validators = field.post_validators
new_field.parse_json = field.parse_json # type: ignore[attr-defined]
new_field.shape = field.shape # type: ignore[attr-defined]
new_field.populate_validators() # type: ignore[attr-defined]
return new_field
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| import re
import warnings
from dataclasses import is_dataclass
from typing import (
TYPE_CHECKING,
Any,
Dict,
MutableMapping,
Optional,
Set,
Type,
Union,
cast,
)
from weakref import WeakKeyDictionary
import fastapi
from fastapi._compat import (
PYDANTIC_V2,
BaseConfig,
ModelField,
PydanticSchemaGenerationError,
Undefined,
UndefinedType,
Validator,
lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from pydantic import BaseModel, create_model
from pydantic.fields import FieldInfo
from typing_extensions import Literal
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
# Cache for `create_cloned_field`
_CLONED_TYPES_CACHE: MutableMapping[Type[BaseModel], Type[BaseModel]] = (
WeakKeyDictionary()
)
def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
if status_code is None:
return True
# Ref: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#patterned-fields-1
if status_code in {
"default",
"1XX",
"2XX",
"3XX",
"4XX",
"5XX",
}:
return True
current_status_code = int(status_code)
return not (current_status_code < 200 or current_status_code in {204, 205, 304})
def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
def create_model_field(
name: str,
type_: Any,
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = Undefined,
required: Union[bool, UndefinedType] = Undefined,
model_config: Type[BaseConfig] = BaseConfig,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
mode: Literal["validation", "serialization"] = "validation",
) -> ModelField:
class_validators = class_validators or {}
if PYDANTIC_V2:
field_info = field_info or FieldInfo(
annotation=type_, default=default, alias=alias
)
else:
field_info = field_info or FieldInfo()
kwargs = {"name": name, "field_info": field_info}
if PYDANTIC_V2:
kwargs.update({"mode": mode})
else:
kwargs.update(
{
"type_": type_,
"class_validators": class_validators,
"default": default,
"required": required,
"model_config": model_config,
"alias": alias,
}
)
try:
return ModelField(**kwargs) # type: ignore[arg-type]
except (RuntimeError, PydanticSchemaGenerationError):
raise fastapi.exceptions.FastAPIError(
"Invalid args for response field! Hint: "
f"check that {type_} is a valid Pydantic field type. "
"If you are using a return type annotation that is not a valid Pydantic "
"field (e.g. Union[Response, dict, None]) you can disable generating the "
"response model from the type annotation with the path operation decorator "
"parameter response_model=None. Read more: "
"https://fastapi.tiangolo.com/tutorial/response-model/"
) from None
def create_cloned_field(
field: ModelField,
*,
cloned_types: Optional[MutableMapping[Type[BaseModel], Type[BaseModel]]] = None,
) -> ModelField:
if PYDANTIC_V2:
return field
# cloned_types caches already cloned types to support recursive models and improve
# performance by avoiding unnecessary cloning
if cloned_types is None:
cloned_types = _CLONED_TYPES_CACHE
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_model_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias # type: ignore[attr-defined]
new_field.alias = field.alias # type: ignore[misc]
new_field.class_validators = field.class_validators # type: ignore[attr-defined]
new_field.default = field.default # type: ignore[misc]
new_field.required = field.required # type: ignore[misc]
new_field.model_config = field.model_config # type: ignore[attr-defined]
new_field.field_info = field.field_info
new_field.allow_none = field.allow_none # type: ignore[attr-defined]
new_field.validate_always = field.validate_always # type: ignore[attr-defined]
if field.sub_fields: # type: ignore[attr-defined]
new_field.sub_fields = [ # type: ignore[attr-defined]
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields # type: ignore[attr-defined]
]
if field.key_field: # type: ignore[attr-defined]
new_field.key_field = create_cloned_field( # type: ignore[attr-defined]
field.key_field, # type: ignore[attr-defined]
cloned_types=cloned_types,
)
new_field.validators = field.validators # type: ignore[attr-defined]
new_field.pre_validators = field.pre_validators # type: ignore[attr-defined]
new_field.post_validators = field.post_validators # type: ignore[attr-defined]
new_field.parse_json = field.parse_json # type: ignore[attr-defined]
new_field.shape = field.shape # type: ignore[attr-defined]
new_field.populate_validators() # type: ignore[attr-defined]
return new_field
def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = f"{name}{path}"
operation_id = re.sub(r"\W", "_", operation_id)
operation_id = f"{operation_id}_{method.lower()}"
return operation_id
def generate_unique_id(route: "APIRoute") -> str:
operation_id = f"{route.name}{route.path_format}"
operation_id = re.sub(r"\W", "_", operation_id)
assert route.methods
operation_id = f"{operation_id}_{list(route.methods)[0].lower()}"
return operation_id
def deep_dict_update(main_dict: Dict[Any, Any], update_dict: Dict[Any, Any]) -> None:
for key, value in update_dict.items():
if (
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(value, dict)
):
deep_dict_update(main_dict[key], value)
elif (
key in main_dict
and isinstance(main_dict[key], list)
and isinstance(update_dict[key], list)
):
main_dict[key] = main_dict[key] + update_dict[key]
else:
main_dict[key] = value
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| ============================= test session starts ==============================
platform linux -- Python 3.11.9, pytest-8.3.2, pluggy-1.5.0 -- /workspace/test_venv/bin/python
cachedir: .pytest_cache
rootdir: /workspace/test_repo
configfile: pyproject.toml
plugins: anyio-3.7.1, asyncio-0.24.0
asyncio: mode=Mode.STRICT, default_loop_scope=function
collecting ... collected 0 items / 1 error
==================================== ERRORS ====================================
_________ ERROR collecting tests/test_filter_pydantic_sub_model_pv2.py _________
ImportError while importing test module '/workspace/test_repo/tests/test_filter_pydantic_sub_model_pv2.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/local/lib/python3.11/importlib/__init__.py:126: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/test_filter_pydantic_sub_model_pv2.py:5: in <module>
from fastapi import Depends, FastAPI
fastapi/__init__.py:7: in <module>
from .applications import FastAPI as FastAPI
fastapi/applications.py:16: in <module>
from fastapi import routing
fastapi/routing.py:35: in <module>
from fastapi.dependencies.utils import (
fastapi/dependencies/utils.py:57: in <module>
from fastapi.utils import create_response_field, get_path_param_names
E ImportError: cannot import name 'create_response_field' from 'fastapi.utils' (/workspace/test_repo/fastapi/utils.py)
=========================== short test summary info ============================
ERROR tests/test_filter_pydantic_sub_model_pv2.py
!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!
=============================== 1 error in 0.59s ===============================
| {'total': 3, 'passed': 3, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, 'warning': 0, 'error': 0} | {'total': 1, 'passed': 0, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, 'warning': 0, 'error': 1} | ./test_repo/fastapi/utils.py | ./test_repo/tests/test_filter_pydantic_sub_model_pv2.py |
1_fastapi_callee__utils__generate_unique_id__8a0d4c79c18e6bd219b965b9d50578c139e7efd8 | callee | fail-to-pass | https://github.com/fastapi/fastapi | 8a0d4c79c18e6bd219b965b9d50578c139e7efd8 | function | generate_unique_id | utils.py | def generate_unique_id(route: "APIRoute") -> str:
operation_id = route.name + route.path_format
operation_id = re.sub("[^0-9a-zA-Z_]", "_", operation_id)
assert route.methods
operation_id = operation_id + "_" + list(route.methods)[0].lower()
return operation_id
| def generate_unique_id(route: "APIRoute") -> str:
operation_id = f"{route.name}{route.path_format}"
operation_id = re.sub(r"\W", "_", operation_id)
assert route.methods
operation_id = f"{operation_id}_{list(route.methods)[0].lower()}"
return operation_id
| import functools
import re
import warnings
from dataclasses import is_dataclass
from enum import Enum
from typing import TYPE_CHECKING, Any, Dict, Optional, Set, Type, Union, cast
import fastapi
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from fastapi.openapi.constants import REF_PREFIX
from pydantic import BaseConfig, BaseModel, create_model
from pydantic.class_validators import Validator
from pydantic.fields import FieldInfo, ModelField, UndefinedType
from pydantic.schema import model_process_schema
from pydantic.utils import lenient_issubclass
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
def get_model_definitions(
*,
flat_models: Set[Union[Type[BaseModel], Type[Enum]]],
model_name_map: Dict[Union[Type[BaseModel], Type[Enum]], str],
) -> Dict[str, Any]:
definitions: Dict[str, Dict[str, Any]] = {}
for model in flat_models:
m_schema, m_definitions, m_nested_models = model_process_schema(
model, model_name_map=model_name_map, ref_prefix=REF_PREFIX
)
definitions.update(m_definitions)
model_name = model_name_map[model]
definitions[model_name] = m_schema
return definitions
def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
def create_response_field(
name: str,
type_: Type[Any],
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = None,
required: Union[bool, UndefinedType] = False,
model_config: Type[BaseConfig] = BaseConfig,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
) -> ModelField:
"""
Create a new response field. Raises if type_ is invalid.
"""
class_validators = class_validators or {}
field_info = field_info or FieldInfo(None)
response_field = functools.partial(
ModelField,
name=name,
type_=type_,
class_validators=class_validators,
default=default,
required=required,
model_config=model_config,
alias=alias,
)
try:
return response_field(field_info=field_info)
except RuntimeError:
raise fastapi.exceptions.FastAPIError(
f"Invalid args for response field! Hint: check that {type_} is a valid pydantic field type"
)
def create_cloned_field(
field: ModelField,
*,
cloned_types: Optional[Dict[Type[BaseModel], Type[BaseModel]]] = None,
) -> ModelField:
# _cloned_types has already cloned types, to support recursive models
if cloned_types is None:
cloned_types = dict()
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(
original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_response_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias
new_field.alias = field.alias
new_field.class_validators = field.class_validators
new_field.default = field.default
new_field.required = field.required
new_field.model_config = field.model_config
new_field.field_info = field.field_info
new_field.allow_none = field.allow_none
new_field.validate_always = field.validate_always
if field.sub_fields:
new_field.sub_fields = [
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields
]
if field.key_field:
new_field.key_field = create_cloned_field(
field.key_field, cloned_types=cloned_types
)
new_field.validators = field.validators
new_field.pre_validators = field.pre_validators
new_field.post_validators = field.post_validators
new_field.parse_json = field.parse_json
new_field.shape = field.shape
new_field.populate_validators()
return new_field
def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = name + path
operation_id = re.sub("[^0-9a-zA-Z_]", "_", operation_id)
operation_id = operation_id + "_" + method.lower()
return operation_id
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| import functools
import re
import warnings
from dataclasses import is_dataclass
from enum import Enum
from typing import TYPE_CHECKING, Any, Dict, Optional, Set, Type, Union, cast
import fastapi
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from fastapi.openapi.constants import REF_PREFIX
from pydantic import BaseConfig, BaseModel, create_model
from pydantic.class_validators import Validator
from pydantic.fields import FieldInfo, ModelField, UndefinedType
from pydantic.schema import model_process_schema
from pydantic.utils import lenient_issubclass
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
def get_model_definitions(
*,
flat_models: Set[Union[Type[BaseModel], Type[Enum]]],
model_name_map: Dict[Union[Type[BaseModel], Type[Enum]], str],
) -> Dict[str, Any]:
definitions: Dict[str, Dict[str, Any]] = {}
for model in flat_models:
m_schema, m_definitions, m_nested_models = model_process_schema(
model, model_name_map=model_name_map, ref_prefix=REF_PREFIX
)
definitions.update(m_definitions)
model_name = model_name_map[model]
definitions[model_name] = m_schema
return definitions
def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
def create_response_field(
name: str,
type_: Type[Any],
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = None,
required: Union[bool, UndefinedType] = False,
model_config: Type[BaseConfig] = BaseConfig,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
) -> ModelField:
"""
Create a new response field. Raises if type_ is invalid.
"""
class_validators = class_validators or {}
field_info = field_info or FieldInfo(None)
response_field = functools.partial(
ModelField,
name=name,
type_=type_,
class_validators=class_validators,
default=default,
required=required,
model_config=model_config,
alias=alias,
)
try:
return response_field(field_info=field_info)
except RuntimeError:
raise fastapi.exceptions.FastAPIError(
f"Invalid args for response field! Hint: check that {type_} is a valid pydantic field type"
)
def create_cloned_field(
field: ModelField,
*,
cloned_types: Optional[Dict[Type[BaseModel], Type[BaseModel]]] = None,
) -> ModelField:
# _cloned_types has already cloned types, to support recursive models
if cloned_types is None:
cloned_types = dict()
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(
original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_response_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias
new_field.alias = field.alias
new_field.class_validators = field.class_validators
new_field.default = field.default
new_field.required = field.required
new_field.model_config = field.model_config
new_field.field_info = field.field_info
new_field.allow_none = field.allow_none
new_field.validate_always = field.validate_always
if field.sub_fields:
new_field.sub_fields = [
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields
]
if field.key_field:
new_field.key_field = create_cloned_field(
field.key_field, cloned_types=cloned_types
)
new_field.validators = field.validators
new_field.pre_validators = field.pre_validators
new_field.post_validators = field.post_validators
new_field.parse_json = field.parse_json
new_field.shape = field.shape
new_field.populate_validators()
return new_field
def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = name + path
operation_id = re.sub("[^0-9a-zA-Z_]", "_", operation_id)
operation_id = operation_id + "_" + method.lower()
return operation_id
def generate_unique_id(route: "APIRoute") -> str:
operation_id = route.name + route.path_format
operation_id = re.sub("[^0-9a-zA-Z_]", "_", operation_id)
assert route.methods
operation_id = operation_id + "_" + list(route.methods)[0].lower()
return operation_id
def deep_dict_update(main_dict: Dict[Any, Any], update_dict: Dict[Any, Any]) -> None:
for key in update_dict:
if (
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(update_dict[key], dict)
):
deep_dict_update(main_dict[key], update_dict[key])
else:
main_dict[key] = update_dict[key]
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| import re
import warnings
from dataclasses import is_dataclass
from typing import (
TYPE_CHECKING,
Any,
Dict,
MutableMapping,
Optional,
Set,
Type,
Union,
cast,
)
from weakref import WeakKeyDictionary
import fastapi
from fastapi._compat import (
PYDANTIC_V2,
BaseConfig,
ModelField,
PydanticSchemaGenerationError,
Undefined,
UndefinedType,
Validator,
lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from pydantic import BaseModel, create_model
from pydantic.fields import FieldInfo
from typing_extensions import Literal
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
# Cache for `create_cloned_field`
_CLONED_TYPES_CACHE: MutableMapping[Type[BaseModel], Type[BaseModel]] = (
WeakKeyDictionary()
)
def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
if status_code is None:
return True
# Ref: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#patterned-fields-1
if status_code in {
"default",
"1XX",
"2XX",
"3XX",
"4XX",
"5XX",
}:
return True
current_status_code = int(status_code)
return not (current_status_code < 200 or current_status_code in {204, 205, 304})
def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
def create_model_field(
name: str,
type_: Any,
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = Undefined,
required: Union[bool, UndefinedType] = Undefined,
model_config: Type[BaseConfig] = BaseConfig,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
mode: Literal["validation", "serialization"] = "validation",
) -> ModelField:
class_validators = class_validators or {}
if PYDANTIC_V2:
field_info = field_info or FieldInfo(
annotation=type_, default=default, alias=alias
)
else:
field_info = field_info or FieldInfo()
kwargs = {"name": name, "field_info": field_info}
if PYDANTIC_V2:
kwargs.update({"mode": mode})
else:
kwargs.update(
{
"type_": type_,
"class_validators": class_validators,
"default": default,
"required": required,
"model_config": model_config,
"alias": alias,
}
)
try:
return ModelField(**kwargs) # type: ignore[arg-type]
except (RuntimeError, PydanticSchemaGenerationError):
raise fastapi.exceptions.FastAPIError(
"Invalid args for response field! Hint: "
f"check that {type_} is a valid Pydantic field type. "
"If you are using a return type annotation that is not a valid Pydantic "
"field (e.g. Union[Response, dict, None]) you can disable generating the "
"response model from the type annotation with the path operation decorator "
"parameter response_model=None. Read more: "
"https://fastapi.tiangolo.com/tutorial/response-model/"
) from None
def create_cloned_field(
field: ModelField,
*,
cloned_types: Optional[MutableMapping[Type[BaseModel],
Type[BaseModel]]] = None,
) -> ModelField:
if PYDANTIC_V2:
return field
# cloned_types caches already cloned types to support recursive models and improve
# performance by avoiding unnecessary cloning
if cloned_types is None:
cloned_types = _CLONED_TYPES_CACHE
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(
original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_model_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias # type: ignore[attr-defined]
new_field.alias = field.alias # type: ignore[misc]
# type: ignore[attr-defined]
new_field.class_validators = field.class_validators
new_field.default = field.default # type: ignore[misc]
new_field.required = field.required # type: ignore[misc]
new_field.model_config = field.model_config # type: ignore[attr-defined]
new_field.field_info = field.field_info
new_field.allow_none = field.allow_none # type: ignore[attr-defined]
# type: ignore[attr-defined]
new_field.validate_always = field.validate_always
if field.sub_fields: # type: ignore[attr-defined]
new_field.sub_fields = [ # type: ignore[attr-defined]
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields # type: ignore[attr-defined]
]
if field.key_field: # type: ignore[attr-defined]
new_field.key_field = create_cloned_field( # type: ignore[attr-defined]
field.key_field, # type: ignore[attr-defined]
cloned_types=cloned_types,
)
new_field.validators = field.validators # type: ignore[attr-defined]
# type: ignore[attr-defined]
new_field.pre_validators = field.pre_validators
# type: ignore[attr-defined]
new_field.post_validators = field.post_validators
new_field.parse_json = field.parse_json # type: ignore[attr-defined]
new_field.shape = field.shape # type: ignore[attr-defined]
new_field.populate_validators() # type: ignore[attr-defined]
return new_field
def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = f"{name}{path}"
operation_id = re.sub(r"\W", "_", operation_id)
operation_id = f"{operation_id}_{method.lower()}"
return operation_id
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| import re
import warnings
from dataclasses import is_dataclass
from typing import (
TYPE_CHECKING,
Any,
Dict,
MutableMapping,
Optional,
Set,
Type,
Union,
cast,
)
from weakref import WeakKeyDictionary
import fastapi
from fastapi._compat import (
PYDANTIC_V2,
BaseConfig,
ModelField,
PydanticSchemaGenerationError,
Undefined,
UndefinedType,
Validator,
lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from pydantic import BaseModel, create_model
from pydantic.fields import FieldInfo
from typing_extensions import Literal
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
# Cache for `create_cloned_field`
_CLONED_TYPES_CACHE: MutableMapping[Type[BaseModel], Type[BaseModel]] = (
WeakKeyDictionary()
)
def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
if status_code is None:
return True
# Ref: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#patterned-fields-1
if status_code in {
"default",
"1XX",
"2XX",
"3XX",
"4XX",
"5XX",
}:
return True
current_status_code = int(status_code)
return not (current_status_code < 200 or current_status_code in {204, 205, 304})
def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
def create_model_field(
name: str,
type_: Any,
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = Undefined,
required: Union[bool, UndefinedType] = Undefined,
model_config: Type[BaseConfig] = BaseConfig,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
mode: Literal["validation", "serialization"] = "validation",
) -> ModelField:
class_validators = class_validators or {}
if PYDANTIC_V2:
field_info = field_info or FieldInfo(
annotation=type_, default=default, alias=alias
)
else:
field_info = field_info or FieldInfo()
kwargs = {"name": name, "field_info": field_info}
if PYDANTIC_V2:
kwargs.update({"mode": mode})
else:
kwargs.update(
{
"type_": type_,
"class_validators": class_validators,
"default": default,
"required": required,
"model_config": model_config,
"alias": alias,
}
)
try:
return ModelField(**kwargs) # type: ignore[arg-type]
except (RuntimeError, PydanticSchemaGenerationError):
raise fastapi.exceptions.FastAPIError(
"Invalid args for response field! Hint: "
f"check that {type_} is a valid Pydantic field type. "
"If you are using a return type annotation that is not a valid Pydantic "
"field (e.g. Union[Response, dict, None]) you can disable generating the "
"response model from the type annotation with the path operation decorator "
"parameter response_model=None. Read more: "
"https://fastapi.tiangolo.com/tutorial/response-model/"
) from None
def create_cloned_field(
field: ModelField,
*,
cloned_types: Optional[MutableMapping[Type[BaseModel], Type[BaseModel]]] = None,
) -> ModelField:
if PYDANTIC_V2:
return field
# cloned_types caches already cloned types to support recursive models and improve
# performance by avoiding unnecessary cloning
if cloned_types is None:
cloned_types = _CLONED_TYPES_CACHE
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_model_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias # type: ignore[attr-defined]
new_field.alias = field.alias # type: ignore[misc]
new_field.class_validators = field.class_validators # type: ignore[attr-defined]
new_field.default = field.default # type: ignore[misc]
new_field.required = field.required # type: ignore[misc]
new_field.model_config = field.model_config # type: ignore[attr-defined]
new_field.field_info = field.field_info
new_field.allow_none = field.allow_none # type: ignore[attr-defined]
new_field.validate_always = field.validate_always # type: ignore[attr-defined]
if field.sub_fields: # type: ignore[attr-defined]
new_field.sub_fields = [ # type: ignore[attr-defined]
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields # type: ignore[attr-defined]
]
if field.key_field: # type: ignore[attr-defined]
new_field.key_field = create_cloned_field( # type: ignore[attr-defined]
field.key_field, # type: ignore[attr-defined]
cloned_types=cloned_types,
)
new_field.validators = field.validators # type: ignore[attr-defined]
new_field.pre_validators = field.pre_validators # type: ignore[attr-defined]
new_field.post_validators = field.post_validators # type: ignore[attr-defined]
new_field.parse_json = field.parse_json # type: ignore[attr-defined]
new_field.shape = field.shape # type: ignore[attr-defined]
new_field.populate_validators() # type: ignore[attr-defined]
return new_field
def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = f"{name}{path}"
operation_id = re.sub(r"\W", "_", operation_id)
operation_id = f"{operation_id}_{method.lower()}"
return operation_id
def generate_unique_id(route: "APIRoute") -> str:
operation_id = f"{route.name}{route.path_format}"
operation_id = re.sub(r"\W", "_", operation_id)
assert route.methods
operation_id = f"{operation_id}_{list(route.methods)[0].lower()}"
return operation_id
def deep_dict_update(main_dict: Dict[Any, Any], update_dict: Dict[Any, Any]) -> None:
for key, value in update_dict.items():
if (
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(value, dict)
):
deep_dict_update(main_dict[key], value)
elif (
key in main_dict
and isinstance(main_dict[key], list)
and isinstance(update_dict[key], list)
):
main_dict[key] = main_dict[key] + update_dict[key]
else:
main_dict[key] = value
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| ============================= test session starts ==============================
platform linux -- Python 3.11.9, pytest-8.3.2, pluggy-1.5.0 -- /workspace/test_venv/bin/python
cachedir: .pytest_cache
rootdir: /workspace/test_repo
configfile: pyproject.toml
plugins: anyio-3.7.1, asyncio-0.24.0
asyncio: mode=Mode.STRICT, default_loop_scope=function
collecting ... collected 0 items / 1 error
==================================== ERRORS ====================================
_________ ERROR collecting tests/test_filter_pydantic_sub_model_pv2.py _________
ImportError while importing test module '/workspace/test_repo/tests/test_filter_pydantic_sub_model_pv2.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/local/lib/python3.11/importlib/__init__.py:126: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/test_filter_pydantic_sub_model_pv2.py:5: in <module>
from fastapi import Depends, FastAPI
fastapi/__init__.py:7: in <module>
from .applications import FastAPI as FastAPI
fastapi/applications.py:16: in <module>
from fastapi import routing
fastapi/routing.py:35: in <module>
from fastapi.dependencies.utils import (
fastapi/dependencies/utils.py:57: in <module>
from fastapi.utils import create_response_field, get_path_param_names
E ImportError: cannot import name 'create_response_field' from 'fastapi.utils' (/workspace/test_repo/fastapi/utils.py)
=========================== short test summary info ============================
ERROR tests/test_filter_pydantic_sub_model_pv2.py
!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!
=============================== 1 error in 0.59s ===============================
| {'total': 3, 'passed': 3, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, 'warning': 0, 'error': 0} | {'total': 1, 'passed': 0, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, 'warning': 0, 'error': 1} | ./test_repo/fastapi/utils.py | ./test_repo/tests/test_filter_pydantic_sub_model_pv2.py |
1_fastapi_callee__utils__deep_dict_update__181a32236a32305788b87d10e7990d9564ae2056 | callee | fail-to-pass | https://github.com/fastapi/fastapi | 181a32236a32305788b87d10e7990d9564ae2056 | function | deep_dict_update | utils.py | def deep_dict_update(main_dict: dict, update_dict: dict) -> None:
for key in update_dict:
if (
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(update_dict[key], dict)
):
deep_dict_update(main_dict[key], update_dict[key])
else:
main_dict[key] = update_dict[key]
| def deep_dict_update(main_dict: Dict[Any, Any], update_dict: Dict[Any, Any]) -> None:
for key, value in update_dict.items():
if (
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(value, dict)
):
deep_dict_update(main_dict[key], value)
elif (
key in main_dict
and isinstance(main_dict[key], list)
and isinstance(update_dict[key], list)
):
main_dict[key] = main_dict[key] + update_dict[key]
else:
main_dict[key] = value
| import functools
import re
from dataclasses import is_dataclass
from enum import Enum
from typing import Any, Dict, Optional, Set, Type, Union, cast
import fastapi
from fastapi.logger import logger
from fastapi.openapi.constants import REF_PREFIX
from pydantic import BaseConfig, BaseModel, create_model
from pydantic.class_validators import Validator
from pydantic.schema import model_process_schema
from pydantic.utils import lenient_issubclass
try:
from pydantic.fields import FieldInfo, ModelField, UndefinedType
PYDANTIC_1 = True
except ImportError: # pragma: nocover
# TODO: remove when removing support for Pydantic < 1.0.0
from pydantic.fields import Field as ModelField # type: ignore
from pydantic import Schema as FieldInfo # type: ignore
class UndefinedType: # type: ignore
def __repr__(self) -> str:
return "PydanticUndefined"
logger.warning(
"Pydantic versions < 1.0.0 are deprecated in FastAPI and support will be "
"removed soon."
)
PYDANTIC_1 = False
# TODO: remove when removing support for Pydantic < 1.0.0
def get_field_info(field: ModelField) -> FieldInfo:
if PYDANTIC_1:
return field.field_info # type: ignore
else:
return field.schema # type: ignore # pragma: nocover
# TODO: remove when removing support for Pydantic < 1.0.0
def warning_response_model_skip_defaults_deprecated() -> None:
logger.warning( # pragma: nocover
"response_model_skip_defaults has been deprecated in favor of "
"response_model_exclude_unset to keep in line with Pydantic v1, support for "
"it will be removed soon."
)
def get_model_definitions(
*,
flat_models: Set[Union[Type[BaseModel], Type[Enum]]],
model_name_map: Dict[Union[Type[BaseModel], Type[Enum]], str],
) -> Dict[str, Any]:
definitions: Dict[str, Dict] = {}
for model in flat_models:
# ignore mypy error until enum schemas are released
m_schema, m_definitions, m_nested_models = model_process_schema(
model, model_name_map=model_name_map, ref_prefix=REF_PREFIX # type: ignore
)
definitions.update(m_definitions)
model_name = model_name_map[model]
definitions[model_name] = m_schema
return definitions
def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
def create_response_field(
name: str,
type_: Type[Any],
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = None,
required: Union[bool, UndefinedType] = False,
model_config: Type[BaseConfig] = BaseConfig,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
) -> ModelField:
"""
Create a new response field. Raises if type_ is invalid.
"""
class_validators = class_validators or {}
field_info = field_info or FieldInfo(None)
response_field = functools.partial(
ModelField,
name=name,
type_=type_,
class_validators=class_validators,
default=default,
required=required,
model_config=model_config,
alias=alias,
)
try:
if PYDANTIC_1:
return response_field(field_info=field_info)
else: # pragma: nocover
return response_field(schema=field_info)
except RuntimeError:
raise fastapi.exceptions.FastAPIError(
f"Invalid args for response field! Hint: check that {type_} is a valid pydantic field type"
)
def create_cloned_field(
field: ModelField, *, cloned_types: Dict[Type[BaseModel], Type[BaseModel]] = None,
) -> ModelField:
# _cloned_types has already cloned types, to support recursive models
if cloned_types is None:
cloned_types = dict()
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__ # type: ignore
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(
original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_response_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias
new_field.alias = field.alias
new_field.class_validators = field.class_validators
new_field.default = field.default
new_field.required = field.required
new_field.model_config = field.model_config
if PYDANTIC_1:
new_field.field_info = field.field_info
else: # pragma: nocover
new_field.schema = field.schema # type: ignore
new_field.allow_none = field.allow_none
new_field.validate_always = field.validate_always
if field.sub_fields:
new_field.sub_fields = [
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields
]
if field.key_field:
new_field.key_field = create_cloned_field(
field.key_field, cloned_types=cloned_types
)
new_field.validators = field.validators
if PYDANTIC_1:
new_field.pre_validators = field.pre_validators
new_field.post_validators = field.post_validators
else: # pragma: nocover
new_field.whole_pre_validators = field.whole_pre_validators # type: ignore
new_field.whole_post_validators = field.whole_post_validators # type: ignore
new_field.parse_json = field.parse_json
new_field.shape = field.shape
try:
new_field.populate_validators()
except AttributeError: # pragma: nocover
# TODO: remove when removing support for Pydantic < 1.0.0
new_field._populate_validators() # type: ignore
return new_field
def generate_operation_id_for_path(*, name: str, path: str, method: str) -> str:
operation_id = name + path
operation_id = re.sub("[^0-9a-zA-Z_]", "_", operation_id)
operation_id = operation_id + "_" + method.lower()
return operation_id
| import functools
import re
from dataclasses import is_dataclass
from enum import Enum
from typing import Any, Dict, Optional, Set, Type, Union, cast
import fastapi
from fastapi.logger import logger
from fastapi.openapi.constants import REF_PREFIX
from pydantic import BaseConfig, BaseModel, create_model
from pydantic.class_validators import Validator
from pydantic.schema import model_process_schema
from pydantic.utils import lenient_issubclass
try:
from pydantic.fields import FieldInfo, ModelField, UndefinedType
PYDANTIC_1 = True
except ImportError: # pragma: nocover
# TODO: remove when removing support for Pydantic < 1.0.0
from pydantic.fields import Field as ModelField # type: ignore
from pydantic import Schema as FieldInfo # type: ignore
class UndefinedType: # type: ignore
def __repr__(self) -> str:
return "PydanticUndefined"
logger.warning(
"Pydantic versions < 1.0.0 are deprecated in FastAPI and support will be "
"removed soon."
)
PYDANTIC_1 = False
# TODO: remove when removing support for Pydantic < 1.0.0
def get_field_info(field: ModelField) -> FieldInfo:
if PYDANTIC_1:
return field.field_info # type: ignore
else:
return field.schema # type: ignore # pragma: nocover
# TODO: remove when removing support for Pydantic < 1.0.0
def warning_response_model_skip_defaults_deprecated() -> None:
logger.warning( # pragma: nocover
"response_model_skip_defaults has been deprecated in favor of "
"response_model_exclude_unset to keep in line with Pydantic v1, support for "
"it will be removed soon."
)
def get_model_definitions(
*,
flat_models: Set[Union[Type[BaseModel], Type[Enum]]],
model_name_map: Dict[Union[Type[BaseModel], Type[Enum]], str],
) -> Dict[str, Any]:
definitions: Dict[str, Dict] = {}
for model in flat_models:
# ignore mypy error until enum schemas are released
m_schema, m_definitions, m_nested_models = model_process_schema(
model, model_name_map=model_name_map, ref_prefix=REF_PREFIX # type: ignore
)
definitions.update(m_definitions)
model_name = model_name_map[model]
definitions[model_name] = m_schema
return definitions
def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
def create_response_field(
name: str,
type_: Type[Any],
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = None,
required: Union[bool, UndefinedType] = False,
model_config: Type[BaseConfig] = BaseConfig,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
) -> ModelField:
"""
Create a new response field. Raises if type_ is invalid.
"""
class_validators = class_validators or {}
field_info = field_info or FieldInfo(None)
response_field = functools.partial(
ModelField,
name=name,
type_=type_,
class_validators=class_validators,
default=default,
required=required,
model_config=model_config,
alias=alias,
)
try:
if PYDANTIC_1:
return response_field(field_info=field_info)
else: # pragma: nocover
return response_field(schema=field_info)
except RuntimeError:
raise fastapi.exceptions.FastAPIError(
f"Invalid args for response field! Hint: check that {type_} is a valid pydantic field type"
)
def create_cloned_field(
field: ModelField, *, cloned_types: Dict[Type[BaseModel], Type[BaseModel]] = None,
) -> ModelField:
# _cloned_types has already cloned types, to support recursive models
if cloned_types is None:
cloned_types = dict()
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__ # type: ignore
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(
original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_response_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias
new_field.alias = field.alias
new_field.class_validators = field.class_validators
new_field.default = field.default
new_field.required = field.required
new_field.model_config = field.model_config
if PYDANTIC_1:
new_field.field_info = field.field_info
else: # pragma: nocover
new_field.schema = field.schema # type: ignore
new_field.allow_none = field.allow_none
new_field.validate_always = field.validate_always
if field.sub_fields:
new_field.sub_fields = [
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields
]
if field.key_field:
new_field.key_field = create_cloned_field(
field.key_field, cloned_types=cloned_types
)
new_field.validators = field.validators
if PYDANTIC_1:
new_field.pre_validators = field.pre_validators
new_field.post_validators = field.post_validators
else: # pragma: nocover
new_field.whole_pre_validators = field.whole_pre_validators # type: ignore
new_field.whole_post_validators = field.whole_post_validators # type: ignore
new_field.parse_json = field.parse_json
new_field.shape = field.shape
try:
new_field.populate_validators()
except AttributeError: # pragma: nocover
# TODO: remove when removing support for Pydantic < 1.0.0
new_field._populate_validators() # type: ignore
return new_field
def generate_operation_id_for_path(*, name: str, path: str, method: str) -> str:
operation_id = name + path
operation_id = re.sub("[^0-9a-zA-Z_]", "_", operation_id)
operation_id = operation_id + "_" + method.lower()
return operation_id
def deep_dict_update(main_dict: dict, update_dict: dict) -> None:
for key in update_dict:
if (
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(update_dict[key], dict)
):
deep_dict_update(main_dict[key], update_dict[key])
else:
main_dict[key] = update_dict[key]
| import re
import warnings
from dataclasses import is_dataclass
from typing import (
TYPE_CHECKING,
Any,
Dict,
MutableMapping,
Optional,
Set,
Type,
Union,
cast,
)
from weakref import WeakKeyDictionary
import fastapi
from fastapi._compat import (
PYDANTIC_V2,
BaseConfig,
ModelField,
PydanticSchemaGenerationError,
Undefined,
UndefinedType,
Validator,
lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from pydantic import BaseModel, create_model
from pydantic.fields import FieldInfo
from typing_extensions import Literal
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
# Cache for `create_cloned_field`
_CLONED_TYPES_CACHE: MutableMapping[Type[BaseModel], Type[BaseModel]] = (
WeakKeyDictionary()
)
def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
if status_code is None:
return True
# Ref: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#patterned-fields-1
if status_code in {
"default",
"1XX",
"2XX",
"3XX",
"4XX",
"5XX",
}:
return True
current_status_code = int(status_code)
return not (current_status_code < 200 or current_status_code in {204, 205, 304})
def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
def create_model_field(
name: str,
type_: Any,
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = Undefined,
required: Union[bool, UndefinedType] = Undefined,
model_config: Type[BaseConfig] = BaseConfig,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
mode: Literal["validation", "serialization"] = "validation",
) -> ModelField:
class_validators = class_validators or {}
if PYDANTIC_V2:
field_info = field_info or FieldInfo(
annotation=type_, default=default, alias=alias
)
else:
field_info = field_info or FieldInfo()
kwargs = {"name": name, "field_info": field_info}
if PYDANTIC_V2:
kwargs.update({"mode": mode})
else:
kwargs.update(
{
"type_": type_,
"class_validators": class_validators,
"default": default,
"required": required,
"model_config": model_config,
"alias": alias,
}
)
try:
return ModelField(**kwargs) # type: ignore[arg-type]
except (RuntimeError, PydanticSchemaGenerationError):
raise fastapi.exceptions.FastAPIError(
"Invalid args for response field! Hint: "
f"check that {type_} is a valid Pydantic field type. "
"If you are using a return type annotation that is not a valid Pydantic "
"field (e.g. Union[Response, dict, None]) you can disable generating the "
"response model from the type annotation with the path operation decorator "
"parameter response_model=None. Read more: "
"https://fastapi.tiangolo.com/tutorial/response-model/"
) from None
def create_cloned_field(
field: ModelField,
*,
cloned_types: Optional[MutableMapping[Type[BaseModel],
Type[BaseModel]]] = None,
) -> ModelField:
if PYDANTIC_V2:
return field
# cloned_types caches already cloned types to support recursive models and improve
# performance by avoiding unnecessary cloning
if cloned_types is None:
cloned_types = _CLONED_TYPES_CACHE
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(
original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_model_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias # type: ignore[attr-defined]
new_field.alias = field.alias # type: ignore[misc]
# type: ignore[attr-defined]
new_field.class_validators = field.class_validators
new_field.default = field.default # type: ignore[misc]
new_field.required = field.required # type: ignore[misc]
new_field.model_config = field.model_config # type: ignore[attr-defined]
new_field.field_info = field.field_info
new_field.allow_none = field.allow_none # type: ignore[attr-defined]
# type: ignore[attr-defined]
new_field.validate_always = field.validate_always
if field.sub_fields: # type: ignore[attr-defined]
new_field.sub_fields = [ # type: ignore[attr-defined]
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields # type: ignore[attr-defined]
]
if field.key_field: # type: ignore[attr-defined]
new_field.key_field = create_cloned_field( # type: ignore[attr-defined]
field.key_field, # type: ignore[attr-defined]
cloned_types=cloned_types,
)
new_field.validators = field.validators # type: ignore[attr-defined]
# type: ignore[attr-defined]
new_field.pre_validators = field.pre_validators
# type: ignore[attr-defined]
new_field.post_validators = field.post_validators
new_field.parse_json = field.parse_json # type: ignore[attr-defined]
new_field.shape = field.shape # type: ignore[attr-defined]
new_field.populate_validators() # type: ignore[attr-defined]
return new_field
def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = f"{name}{path}"
operation_id = re.sub(r"\W", "_", operation_id)
operation_id = f"{operation_id}_{method.lower()}"
return operation_id
def generate_unique_id(route: "APIRoute") -> str:
operation_id = f"{route.name}{route.path_format}"
operation_id = re.sub(r"\W", "_", operation_id)
assert route.methods
operation_id = f"{operation_id}_{list(route.methods)[0].lower()}"
return operation_id
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| import re
import warnings
from dataclasses import is_dataclass
from typing import (
TYPE_CHECKING,
Any,
Dict,
MutableMapping,
Optional,
Set,
Type,
Union,
cast,
)
from weakref import WeakKeyDictionary
import fastapi
from fastapi._compat import (
PYDANTIC_V2,
BaseConfig,
ModelField,
PydanticSchemaGenerationError,
Undefined,
UndefinedType,
Validator,
lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder, DefaultType
from pydantic import BaseModel, create_model
from pydantic.fields import FieldInfo
from typing_extensions import Literal
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
# Cache for `create_cloned_field`
_CLONED_TYPES_CACHE: MutableMapping[Type[BaseModel], Type[BaseModel]] = (
WeakKeyDictionary()
)
def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
if status_code is None:
return True
# Ref: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#patterned-fields-1
if status_code in {
"default",
"1XX",
"2XX",
"3XX",
"4XX",
"5XX",
}:
return True
current_status_code = int(status_code)
return not (current_status_code < 200 or current_status_code in {204, 205, 304})
def get_path_param_names(path: str) -> Set[str]:
return set(re.findall("{(.*?)}", path))
def create_model_field(
name: str,
type_: Any,
class_validators: Optional[Dict[str, Validator]] = None,
default: Optional[Any] = Undefined,
required: Union[bool, UndefinedType] = Undefined,
model_config: Type[BaseConfig] = BaseConfig,
field_info: Optional[FieldInfo] = None,
alias: Optional[str] = None,
mode: Literal["validation", "serialization"] = "validation",
) -> ModelField:
class_validators = class_validators or {}
if PYDANTIC_V2:
field_info = field_info or FieldInfo(
annotation=type_, default=default, alias=alias
)
else:
field_info = field_info or FieldInfo()
kwargs = {"name": name, "field_info": field_info}
if PYDANTIC_V2:
kwargs.update({"mode": mode})
else:
kwargs.update(
{
"type_": type_,
"class_validators": class_validators,
"default": default,
"required": required,
"model_config": model_config,
"alias": alias,
}
)
try:
return ModelField(**kwargs) # type: ignore[arg-type]
except (RuntimeError, PydanticSchemaGenerationError):
raise fastapi.exceptions.FastAPIError(
"Invalid args for response field! Hint: "
f"check that {type_} is a valid Pydantic field type. "
"If you are using a return type annotation that is not a valid Pydantic "
"field (e.g. Union[Response, dict, None]) you can disable generating the "
"response model from the type annotation with the path operation decorator "
"parameter response_model=None. Read more: "
"https://fastapi.tiangolo.com/tutorial/response-model/"
) from None
def create_cloned_field(
field: ModelField,
*,
cloned_types: Optional[MutableMapping[Type[BaseModel], Type[BaseModel]]] = None,
) -> ModelField:
if PYDANTIC_V2:
return field
# cloned_types caches already cloned types to support recursive models and improve
# performance by avoiding unnecessary cloning
if cloned_types is None:
cloned_types = _CLONED_TYPES_CACHE
original_type = field.type_
if is_dataclass(original_type) and hasattr(original_type, "__pydantic_model__"):
original_type = original_type.__pydantic_model__
use_type = original_type
if lenient_issubclass(original_type, BaseModel):
original_type = cast(Type[BaseModel], original_type)
use_type = cloned_types.get(original_type)
if use_type is None:
use_type = create_model(original_type.__name__, __base__=original_type)
cloned_types[original_type] = use_type
for f in original_type.__fields__.values():
use_type.__fields__[f.name] = create_cloned_field(
f, cloned_types=cloned_types
)
new_field = create_model_field(name=field.name, type_=use_type)
new_field.has_alias = field.has_alias # type: ignore[attr-defined]
new_field.alias = field.alias # type: ignore[misc]
new_field.class_validators = field.class_validators # type: ignore[attr-defined]
new_field.default = field.default # type: ignore[misc]
new_field.required = field.required # type: ignore[misc]
new_field.model_config = field.model_config # type: ignore[attr-defined]
new_field.field_info = field.field_info
new_field.allow_none = field.allow_none # type: ignore[attr-defined]
new_field.validate_always = field.validate_always # type: ignore[attr-defined]
if field.sub_fields: # type: ignore[attr-defined]
new_field.sub_fields = [ # type: ignore[attr-defined]
create_cloned_field(sub_field, cloned_types=cloned_types)
for sub_field in field.sub_fields # type: ignore[attr-defined]
]
if field.key_field: # type: ignore[attr-defined]
new_field.key_field = create_cloned_field( # type: ignore[attr-defined]
field.key_field, # type: ignore[attr-defined]
cloned_types=cloned_types,
)
new_field.validators = field.validators # type: ignore[attr-defined]
new_field.pre_validators = field.pre_validators # type: ignore[attr-defined]
new_field.post_validators = field.post_validators # type: ignore[attr-defined]
new_field.parse_json = field.parse_json # type: ignore[attr-defined]
new_field.shape = field.shape # type: ignore[attr-defined]
new_field.populate_validators() # type: ignore[attr-defined]
return new_field
def generate_operation_id_for_path(
*, name: str, path: str, method: str
) -> str: # pragma: nocover
warnings.warn(
"fastapi.utils.generate_operation_id_for_path() was deprecated, "
"it is not used internally, and will be removed soon",
DeprecationWarning,
stacklevel=2,
)
operation_id = f"{name}{path}"
operation_id = re.sub(r"\W", "_", operation_id)
operation_id = f"{operation_id}_{method.lower()}"
return operation_id
def generate_unique_id(route: "APIRoute") -> str:
operation_id = f"{route.name}{route.path_format}"
operation_id = re.sub(r"\W", "_", operation_id)
assert route.methods
operation_id = f"{operation_id}_{list(route.methods)[0].lower()}"
return operation_id
def deep_dict_update(main_dict: Dict[Any, Any], update_dict: Dict[Any, Any]) -> None:
for key, value in update_dict.items():
if (
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(value, dict)
):
deep_dict_update(main_dict[key], value)
elif (
key in main_dict
and isinstance(main_dict[key], list)
and isinstance(update_dict[key], list)
):
main_dict[key] = main_dict[key] + update_dict[key]
else:
main_dict[key] = value
def get_value_or_default(
first_item: Union[DefaultPlaceholder, DefaultType],
*extra_items: Union[DefaultPlaceholder, DefaultType],
) -> Union[DefaultPlaceholder, DefaultType]:
"""
Pass items or `DefaultPlaceholder`s by descending priority.
The first one to _not_ be a `DefaultPlaceholder` will be returned.
Otherwise, the first item (a `DefaultPlaceholder`) will be returned.
"""
items = (first_item,) + extra_items
for item in items:
if not isinstance(item, DefaultPlaceholder):
return item
return first_item
| ============================= test session starts ==============================
platform linux -- Python 3.11.9, pytest-8.3.2, pluggy-1.5.0 -- /workspace/test_venv/bin/python
cachedir: .pytest_cache
rootdir: /workspace/test_repo
configfile: pyproject.toml
plugins: anyio-3.7.1, asyncio-0.24.0
asyncio: mode=Mode.STRICT, default_loop_scope=function
collecting ... collected 0 items / 1 error
==================================== ERRORS ====================================
_________ ERROR collecting tests/test_filter_pydantic_sub_model_pv2.py _________
ImportError while importing test module '/workspace/test_repo/tests/test_filter_pydantic_sub_model_pv2.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/local/lib/python3.11/importlib/__init__.py:126: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/test_filter_pydantic_sub_model_pv2.py:5: in <module>
from fastapi import Depends, FastAPI
fastapi/__init__.py:7: in <module>
from .applications import FastAPI as FastAPI
fastapi/applications.py:16: in <module>
from fastapi import routing
fastapi/routing.py:35: in <module>
from fastapi.dependencies.utils import (
fastapi/dependencies/utils.py:57: in <module>
from fastapi.utils import create_response_field, get_path_param_names
E ImportError: cannot import name 'create_response_field' from 'fastapi.utils' (/workspace/test_repo/fastapi/utils.py)
=========================== short test summary info ============================
ERROR tests/test_filter_pydantic_sub_model_pv2.py
!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!
=============================== 1 error in 0.60s ===============================
| {'total': 3, 'passed': 3, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, 'warning': 0, 'error': 0} | {'total': 1, 'passed': 0, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, 'warning': 0, 'error': 1} | ./test_repo/fastapi/utils.py | ./test_repo/tests/test_filter_pydantic_sub_model_pv2.py |
1_fastapi_callee__routing___prepare_response_content__aea04ee32ee1942e6e1a904527bb8da6ba76abd9 | callee | fail-to-pass | https://github.com/fastapi/fastapi | aea04ee32ee1942e6e1a904527bb8da6ba76abd9 | function | _prepare_response_content | routing.py | "def _prepare_response_content(\n res: Any, *, by_alias: bool = True, exclude_unset: bool\n) -> A(...TRUNCATED) | "def _prepare_response_content(\n res: Any,\n *,\n exclude_unset: bool,\n exclude_defaul(...TRUNCATED) | "import asyncio\nimport inspect\nfrom typing import Any, Callable, Dict, List, Optional, Sequence, S(...TRUNCATED) | "import asyncio\nimport inspect\nfrom typing import Any, Callable, Dict, List, Optional, Sequence, S(...TRUNCATED) | "import asyncio\nimport dataclasses\nimport email.message\nimport inspect\nimport json\nfrom context(...TRUNCATED) | "import asyncio\nimport dataclasses\nimport email.message\nimport inspect\nimport json\nfrom context(...TRUNCATED) | "============================= test session starts ==============================\nplatform linux --(...TRUNCATED) | "{'total': 8, 'passed': 8, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, '(...TRUNCATED) | "{'total': 1, 'passed': 0, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, '(...TRUNCATED) | ./test_repo/fastapi/routing.py | ./test_repo/tests/test_generate_unique_id_function.py |
1_fastapi_callee__routing__get_request_handler__8c3ef76139590e0478e799375ec4c41703ea9f77 | callee | fail-to-pass | https://github.com/fastapi/fastapi | 8c3ef76139590e0478e799375ec4c41703ea9f77 | function | get_request_handler | routing.py | "def get_request_handler(\n dependant: Dependant,\n body_field: Field = None,\n status_code(...TRUNCATED) | "def get_request_handler(\n dependant: Dependant,\n body_field: Optional[ModelField] = None,\n(...TRUNCATED) | "import asyncio\nimport inspect\nimport logging\nfrom typing import Any, Callable, Dict, List, Optio(...TRUNCATED) | "import asyncio\nimport inspect\nimport logging\nfrom typing import Any, Callable, Dict, List, Optio(...TRUNCATED) | "import asyncio\nimport dataclasses\nimport email.message\nimport inspect\nimport json\nfrom context(...TRUNCATED) | "import asyncio\nimport dataclasses\nimport email.message\nimport inspect\nimport json\nfrom context(...TRUNCATED) | "============================= test session starts ==============================\nplatform linux --(...TRUNCATED) | "{'total': 8, 'passed': 8, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, '(...TRUNCATED) | "{'total': 1, 'passed': 0, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, '(...TRUNCATED) | ./test_repo/fastapi/routing.py | ./test_repo/tests/test_generate_unique_id_function.py |
1_fastapi_callee__routing__get_websocket_app__b087246f2649e1b30545693d7b850e5f277c3a29 | callee | fail-to-pass | https://github.com/fastapi/fastapi | b087246f2649e1b30545693d7b850e5f277c3a29 | function | get_websocket_app | routing.py | "def get_websocket_app(dependant: Dependant) -> Callable:\n async def app(websocket: WebSocket) -(...TRUNCATED) | "def get_websocket_app(\n dependant: Dependant,\n dependency_overrides_provider: Optional[Any](...TRUNCATED) | "import asyncio\nimport inspect\nimport logging\nimport re\nfrom typing import Any, Callable, Dict, (...TRUNCATED) | "import asyncio\nimport inspect\nimport logging\nimport re\nfrom typing import Any, Callable, Dict, (...TRUNCATED) | "import asyncio\nimport dataclasses\nimport email.message\nimport inspect\nimport json\nfrom context(...TRUNCATED) | "import asyncio\nimport dataclasses\nimport email.message\nimport inspect\nimport json\nfrom context(...TRUNCATED) | "============================= test session starts ==============================\nplatform linux --(...TRUNCATED) | "{'total': 8, 'passed': 8, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, '(...TRUNCATED) | "{'total': 1, 'passed': 0, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, '(...TRUNCATED) | ./test_repo/fastapi/routing.py | ./test_repo/tests/test_generate_unique_id_function.py |
1_fastapi_callee__routing__decorator__406c092a3bf65bbd4405ce87611a7e0b9c0ae706 | callee | fail-to-pass | https://github.com/fastapi/fastapi | 406c092a3bf65bbd4405ce87611a7e0b9c0ae706 | function | decorator | routing.py | "def decorator(func: typing.Callable) -> typing.Callable:\n self.add_api_route(\n path,\n (...TRUNCATED) | "def decorator(func: DecoratedCallable) -> DecoratedCallable:\n self.add_route(\n path,\n (...TRUNCATED) | "import asyncio\nimport inspect\nimport re\nimport typing\nfrom copy import deepcopy\n\nfrom starlet(...TRUNCATED) | "import asyncio\nimport inspect\nimport re\nimport typing\nfrom copy import deepcopy\n\nfrom starlet(...TRUNCATED) | "import asyncio\nimport dataclasses\nimport email.message\nimport inspect\nimport json\nfrom context(...TRUNCATED) | "import asyncio\nimport dataclasses\nimport email.message\nimport inspect\nimport json\nfrom context(...TRUNCATED) | "============================= test session starts ==============================\nplatform linux --(...TRUNCATED) | "{'total': 8, 'passed': 8, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, '(...TRUNCATED) | "{'total': 1, 'passed': 0, 'xpassed': 0, 'failed': 0, 'xfailed': 0, 'deselected': 0, 'skipped': 0, '(...TRUNCATED) | ./test_repo/fastapi/routing.py | ./test_repo/tests/test_generate_unique_id_function.py |
End of preview. Expand
in Dataset Viewer.
SyncBench
In tackling the challenge of agent out-of-sync, SyncBench is released as a part of our work SyncMind: Measuring Agent Out-of-Sync Recovery In Collaborative Software Engineering
Dataset Description
SyncBench for agent out-of-sync recovery:
- Task: Agent out-of-sync
- SyncBench
- In our current version, we construct SyncBench based on 21 popular GitHub repositories, while our dataset construction approach allows adaptive upsampling and downsampling for custom needs
- Expand to incorporate other repositories as data sources
- Downsampled to smaller ealuation subsets
- In our current version, we construct SyncBench based on 21 popular GitHub repositories, while our dataset construction approach allows adaptive upsampling and downsampling for custom needs
- Datasets: Caller and Callee
- Caller: Testing code out-of-sync
- Callee: Tested code out-of-sync
Data Structure
Format: JSON and CSV
Fields:
- instance_id: SyncBench instance ID
- instance_type: data type (i.e.,
callerorcallee) - task_type: task type (i.e.,
fail-to-passorpass-to-pass) - repo_url: URL link of the source GitHub repository
- commit: Git commit ID
- fm_type: Function type (i.e.,
functionormethod) - fm_name: Function name
- original_code: Out-of-sync function code
- gold_code: Up-to-date function code
- old_filtered_context: Out-of-sync context code (filtered)
- old_complete_context: Out-of-sync context code (complete)
- new_filtered_context: Up-to-date context code (filtered)
- new_complete_context: Up-to-date context code (complete)
- initial_error_log: Initial execution error log
- original_summary: Parsed execution output of the out-of-sync code
- gold_summary: Parsed execution output of the up-to-date code
- pyfile_name: Name of the Python file
- pyfile_path: Path to the Python file
- unittest_path: Path to the unit test
Dataset Versions
- SyncBench
- Data: syncbench_24k.csv
- Size: 24,332
- Filtered Dataset (coming soon!)
- Data: syncbench_8k.csv
- Size: 8k
- Evaluation Dataset
- Data: syncbench_300.csv
- Callee: syncbench_callee_150.csv
- Caller: syncbench_caller_150.csv
- Size: 300
- Data: syncbench_300.csv
- SyncBench
Usage
from datasets import load_dataset
dataset = load_dataset("xuehang/SyncBench")
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