Browse Source

fixed bug in file structure

pull/6038/head
yyklimenko 2 years ago
parent
commit
40965c9825
  1. 0
      fastapi/dependencies/stubs.py
  2. 9
      fastapi/dependencies/utils.py
  3. 953
      fastapi/utils.py

0
fastapi/stubs.py → fastapi/dependencies/stubs.py

9
fastapi/dependencies/utils.py

@ -26,6 +26,7 @@ from fastapi.concurrency import (
contextmanager_in_threadpool,
)
from fastapi.dependencies.models import Dependant, SecurityRequirement
from fastapi.dependencies.stubs import GenericTypeStub
from fastapi.logger import logger
from fastapi.security.base import SecurityBase
from fastapi.security.oauth2 import OAuth2, SecurityScopes
@ -263,16 +264,18 @@ def substitute_generic_type(annotation: Any, typevars: Dict[str, Any]) -> Any:
def get_typed_signature(call: Callable[..., Any]) -> inspect.Signature:
typevars = None
if is_generic_type(call):
origin = call.__origin__
generic: GenericTypeStub = cast(GenericTypeStub, call)
typevars = {
typevar.__name__: value
for typevar, value in zip(origin.__parameters__, call.__args__)
for typevar, value in zip(
generic.__origin__.__parameters__, generic.__args__
)
}
origin: Any = generic.__origin__
call = origin.__init__
signature = inspect.signature(call)
globalns = getattr(call, "__globals__", {})
typed_params = [
inspect.Parameter(
name=param.name,

953
fastapi/utils.py

@ -1,800 +1,207 @@
import dataclasses
import inspect
from contextlib import contextmanager
from copy import deepcopy
from typing import (
Any,
Callable,
Coroutine,
Dict,
ForwardRef,
List,
Mapping,
Optional,
Sequence,
Tuple,
Type,
Union,
cast,
)
import anyio
from fastapi import params
from fastapi.concurrency import (
AsyncExitStack,
asynccontextmanager,
contextmanager_in_threadpool,
)
from fastapi.dependencies.models import Dependant, SecurityRequirement
from fastapi.dependencies.stubs import GenericTypeStub
from fastapi.logger import logger
from fastapi.security.base import SecurityBase
from fastapi.security.oauth2 import OAuth2, SecurityScopes
from fastapi.security.open_id_connect_url import OpenIdConnect
from fastapi.utils import create_response_field, get_path_param_names
from pydantic import BaseModel, create_model
from pydantic.error_wrappers import ErrorWrapper
from pydantic.errors import MissingError
from pydantic.fields import (
SHAPE_FROZENSET,
SHAPE_LIST,
SHAPE_SEQUENCE,
SHAPE_SET,
SHAPE_SINGLETON,
SHAPE_TUPLE,
SHAPE_TUPLE_ELLIPSIS,
FieldInfo,
ModelField,
Required,
Undefined,
)
from pydantic.schema import get_annotation_from_field_info
from pydantic.typing import evaluate_forwardref
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
from starlette.background import BackgroundTasks
from starlette.concurrency import run_in_threadpool
from starlette.datastructures import FormData, Headers, QueryParams, UploadFile
from starlette.requests import HTTPConnection, Request
from starlette.responses import Response
from starlette.websockets import WebSocket
sequence_shapes = {
SHAPE_LIST,
SHAPE_SET,
SHAPE_FROZENSET,
SHAPE_TUPLE,
SHAPE_SEQUENCE,
SHAPE_TUPLE_ELLIPSIS,
}
sequence_types = (list, set, tuple)
sequence_shape_to_type = {
SHAPE_LIST: list,
SHAPE_SET: set,
SHAPE_TUPLE: tuple,
SHAPE_SEQUENCE: list,
SHAPE_TUPLE_ELLIPSIS: list,
}
multipart_not_installed_error = (
'Form data requires "python-multipart" to be installed. \n'
'You can install "python-multipart" with: \n\n'
"pip install python-multipart\n"
)
multipart_incorrect_install_error = (
'Form data requires "python-multipart" to be installed. '
'It seems you installed "multipart" instead. \n'
'You can remove "multipart" with: \n\n'
"pip uninstall multipart\n\n"
'And then install "python-multipart" with: \n\n'
"pip install python-multipart\n"
)
def check_file_field(field: ModelField) -> None:
field_info = field.field_info
if isinstance(field_info, params.Form):
try:
# __version__ is available in both multiparts, and can be mocked
from multipart import __version__ # type: ignore
assert __version__
try:
# parse_options_header is only available in the right multipart
from multipart.multipart import parse_options_header # type: ignore
assert parse_options_header
except ImportError:
logger.error(multipart_incorrect_install_error)
raise RuntimeError(multipart_incorrect_install_error) from None
except ImportError:
logger.error(multipart_not_installed_error)
raise RuntimeError(multipart_not_installed_error) from None
def get_param_sub_dependant(
*, param: inspect.Parameter, path: str, security_scopes: Optional[List[str]] = None
) -> Dependant:
depends: params.Depends = param.default
if depends.dependency:
dependency = depends.dependency
else:
dependency = param.annotation
return get_sub_dependant(
depends=depends,
dependency=dependency,
path=path,
name=param.name,
security_scopes=security_scopes,
)
def get_parameterless_sub_dependant(*, depends: params.Depends, path: str) -> Dependant:
assert callable(
depends.dependency
), "A parameter-less dependency must have a callable dependency"
return get_sub_dependant(depends=depends, dependency=depends.dependency, path=path)
def get_sub_dependant(
*,
depends: params.Depends,
dependency: Callable[..., Any],
path: str,
name: Optional[str] = None,
security_scopes: Optional[List[str]] = None,
) -> Dependant:
security_requirement = None
security_scopes = security_scopes or []
if isinstance(depends, params.Security):
dependency_scopes = depends.scopes
security_scopes.extend(dependency_scopes)
if isinstance(dependency, SecurityBase):
use_scopes: List[str] = []
if isinstance(dependency, (OAuth2, OpenIdConnect)):
use_scopes = security_scopes
security_requirement = SecurityRequirement(
security_scheme=dependency, scopes=use_scopes
)
sub_dependant = get_dependant(
path=path,
call=dependency,
name=name,
security_scopes=security_scopes,
use_cache=depends.use_cache,
)
if security_requirement:
sub_dependant.security_requirements.append(security_requirement)
return sub_dependant
CacheKey = Tuple[Optional[Callable[..., Any]], Tuple[str, ...]]
def get_flat_dependant(
dependant: Dependant,
*,
skip_repeats: bool = False,
visited: Optional[List[CacheKey]] = None,
) -> Dependant:
if visited is None:
visited = []
visited.append(dependant.cache_key)
flat_dependant = Dependant(
path_params=dependant.path_params.copy(),
query_params=dependant.query_params.copy(),
header_params=dependant.header_params.copy(),
cookie_params=dependant.cookie_params.copy(),
body_params=dependant.body_params.copy(),
security_schemes=dependant.security_requirements.copy(),
use_cache=dependant.use_cache,
path=dependant.path,
)
for sub_dependant in dependant.dependencies:
if skip_repeats and sub_dependant.cache_key in visited:
continue
flat_sub = get_flat_dependant(
sub_dependant, skip_repeats=skip_repeats, visited=visited
)
flat_dependant.path_params.extend(flat_sub.path_params)
flat_dependant.query_params.extend(flat_sub.query_params)
flat_dependant.header_params.extend(flat_sub.header_params)
flat_dependant.cookie_params.extend(flat_sub.cookie_params)
flat_dependant.body_params.extend(flat_sub.body_params)
flat_dependant.security_requirements.extend(flat_sub.security_requirements)
return flat_dependant
def get_flat_params(dependant: Dependant) -> List[ModelField]:
flat_dependant = get_flat_dependant(dependant, skip_repeats=True)
return (
flat_dependant.path_params
+ flat_dependant.query_params
+ flat_dependant.header_params
+ flat_dependant.cookie_params
)
def is_scalar_field(field: ModelField) -> bool:
field_info = field.field_info
if not (
field.shape == SHAPE_SINGLETON
and not lenient_issubclass(field.type_, BaseModel)
and not lenient_issubclass(field.type_, sequence_types + (dict,))
and not dataclasses.is_dataclass(field.type_)
and not isinstance(field_info, params.Body)
):
return False
if field.sub_fields:
if not all(is_scalar_field(f) for f in field.sub_fields):
return False
return True
if TYPE_CHECKING: # pragma: nocover
from .routing import APIRoute
def is_scalar_sequence_field(field: ModelField) -> bool:
if (field.shape in sequence_shapes) and not lenient_issubclass(
field.type_, BaseModel
):
if field.sub_fields is not None:
for sub_field in field.sub_fields:
if not is_scalar_field(sub_field):
return False
def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:
if status_code is None:
return True
if lenient_issubclass(field.type_, sequence_types):
# 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
return False
def is_generic_type(obj: Any) -> bool:
return hasattr(obj, "__origin__") and hasattr(obj, "__args__")
def substitute_generic_type(annotation: Any, typevars: Dict[str, Any]) -> Any:
collection_shells = {list: List, set: List, dict: Dict, tuple: Tuple}
if is_generic_type(annotation):
args = tuple(
substitute_generic_type(arg, typevars) for arg in annotation.__args__
)
annotation = collection_shells.get(annotation.__origin__, annotation)
return annotation[args]
return typevars.get(annotation.__name__, annotation)
def get_typed_signature(call: Callable[..., Any]) -> inspect.Signature:
typevars = None
if is_generic_type(call):
stub: GenericTypeStub = cast(GenericTypeStub, call)
typevars = {
typevar.__name__: value
for typevar, value in zip(stub.__origin__.__parameters__, stub.__args__)
}
call = stub.__origin__.__init__ # type: ignore
signature = inspect.signature(call)
globalns = getattr(call, "__globals__", {})
typed_params = [
inspect.Parameter(
name=param.name,
kind=param.kind,
default=param.default,
annotation=get_typed_annotation(param.annotation, globalns, typevars),
)
for param in signature.parameters.values()
if param.name != "self"
]
typed_signature = inspect.Signature(typed_params)
return typed_signature
current_status_code = int(status_code)
return not (current_status_code < 200 or current_status_code in {204, 304})
def get_typed_annotation(
annotation: Any,
globalns: Dict[str, Any],
typevars: Optional[Dict[str, type]] = None,
) -> Any:
if isinstance(annotation, str):
annotation = ForwardRef(annotation)
annotation = evaluate_forwardref(annotation, globalns, globalns)
if typevars:
annotation = substitute_generic_type(annotation, typevars)
return annotation
def get_typed_return_annotation(call: Callable[..., Any]) -> Any:
signature = inspect.signature(call)
annotation = signature.return_annotation
if annotation is inspect.Signature.empty:
return None
globalns = getattr(call, "__globals__", {})
return get_typed_annotation(annotation, globalns)
def get_dependant(
def get_model_definitions(
*,
path: str,
call: Callable[..., Any],
name: Optional[str] = None,
security_scopes: Optional[List[str]] = None,
use_cache: bool = True,
) -> Dependant:
path_param_names = get_path_param_names(path)
endpoint_signature = get_typed_signature(call)
signature_params = endpoint_signature.parameters
dependant = Dependant(
call=call,
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]
if "description" in m_schema:
m_schema["description"] = m_schema["description"].split("\f")[0]
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] = True,
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,
path=path,
security_scopes=security_scopes,
use_cache=use_cache,
type_=type_,
class_validators=class_validators,
default=default,
required=required,
model_config=model_config,
alias=alias,
)
for param_name, param in signature_params.items():
if isinstance(param.default, params.Depends):
sub_dependant = get_param_sub_dependant(
param=param, path=path, security_scopes=security_scopes
)
dependant.dependencies.append(sub_dependant)
continue
if add_non_field_param_to_dependency(param=param, dependant=dependant):
continue
param_field = get_param_field(
param=param, default_field_info=params.Query, param_name=param_name
)
if param_name in path_param_names:
assert is_scalar_field(
field=param_field
), "Path params must be of one of the supported types"
ignore_default = not isinstance(param.default, params.Path)
param_field = get_param_field(
param=param,
param_name=param_name,
default_field_info=params.Path,
force_type=params.ParamTypes.path,
ignore_default=ignore_default,
)
add_param_to_fields(field=param_field, dependant=dependant)
elif is_scalar_field(field=param_field):
add_param_to_fields(field=param_field, dependant=dependant)
elif isinstance(
param.default, (params.Query, params.Header)
) and is_scalar_sequence_field(param_field):
add_param_to_fields(field=param_field, dependant=dependant)
else:
field_info = param_field.field_info
assert isinstance(
field_info, params.Body
), f"Param: {param_field.name} can only be a request body, using Body()"
dependant.body_params.append(param_field)
return dependant
def add_non_field_param_to_dependency(
*, param: inspect.Parameter, dependant: Dependant
) -> Optional[bool]:
if lenient_issubclass(param.annotation, Request):
dependant.request_param_name = param.name
return True
elif lenient_issubclass(param.annotation, WebSocket):
dependant.websocket_param_name = param.name
return True
elif lenient_issubclass(param.annotation, HTTPConnection):
dependant.http_connection_param_name = param.name
return True
elif lenient_issubclass(param.annotation, Response):
dependant.response_param_name = param.name
return True
elif lenient_issubclass(param.annotation, BackgroundTasks):
dependant.background_tasks_param_name = param.name
return True
elif lenient_issubclass(param.annotation, SecurityScopes):
dependant.security_scopes_param_name = param.name
return True
return None
def get_param_field(
try:
return response_field(field_info=field_info)
except RuntimeError:
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,
*,
param: inspect.Parameter,
param_name: str,
default_field_info: Type[params.Param] = params.Param,
force_type: Optional[params.ParamTypes] = None,
ignore_default: bool = False,
cloned_types: Optional[Dict[Type[BaseModel], Type[BaseModel]]] = None,
) -> ModelField:
default_value: Any = Undefined
had_schema = False
if not param.default == param.empty and ignore_default is False:
default_value = param.default
if isinstance(default_value, FieldInfo):
had_schema = True
field_info = default_value
default_value = field_info.default
if (
isinstance(field_info, params.Param)
and getattr(field_info, "in_", None) is None
):
field_info.in_ = default_field_info.in_
if force_type:
field_info.in_ = force_type # type: ignore
else:
field_info = default_field_info(default=default_value)
required = True
if default_value is Required or ignore_default:
required = True
default_value = None
elif default_value is not Undefined:
required = False
annotation: Any = Any
if not param.annotation == param.empty:
annotation = param.annotation
annotation = get_annotation_from_field_info(annotation, field_info, param_name)
if not field_info.alias and getattr(field_info, "convert_underscores", None):
alias = param.name.replace("_", "-")
else:
alias = field_info.alias or param.name
field = create_response_field(
name=param.name,
type_=annotation,
default=default_value,
alias=alias,
required=required,
field_info=field_info,
# _cloned_types has already cloned types, to support recursive models
if cloned_types is None:
cloned_types = {}
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,
)
if not had_schema and not is_scalar_field(field=field):
field.field_info = params.Body(field_info.default)
if not had_schema and lenient_issubclass(field.type_, UploadFile):
field.field_info = params.File(field_info.default)
return field
def add_param_to_fields(*, field: ModelField, dependant: Dependant) -> None:
field_info = cast(params.Param, field.field_info)
if field_info.in_ == params.ParamTypes.path:
dependant.path_params.append(field)
elif field_info.in_ == params.ParamTypes.query:
dependant.query_params.append(field)
elif field_info.in_ == params.ParamTypes.header:
dependant.header_params.append(field)
else:
assert (
field_info.in_ == params.ParamTypes.cookie
), f"non-body parameters must be in path, query, header or cookie: {field.name}"
dependant.cookie_params.append(field)
def is_coroutine_callable(call: Callable[..., Any]) -> bool:
if inspect.isroutine(call):
return inspect.iscoroutinefunction(call)
if inspect.isclass(call):
return False
dunder_call = getattr(call, "__call__", None) # noqa: B004
return inspect.iscoroutinefunction(dunder_call)
operation_id = name + path
operation_id = re.sub(r"\W", "_", operation_id)
operation_id = operation_id + "_" + method.lower()
return operation_id
def is_async_gen_callable(call: Callable[..., Any]) -> bool:
if inspect.isasyncgenfunction(call):
return True
dunder_call = getattr(call, "__call__", None) # noqa: B004
return inspect.isasyncgenfunction(dunder_call)
def is_gen_callable(call: Callable[..., Any]) -> bool:
if inspect.isgeneratorfunction(call):
return True
dunder_call = getattr(call, "__call__", None) # noqa: B004
return inspect.isgeneratorfunction(dunder_call)
def generate_unique_id(route: "APIRoute") -> str:
operation_id = route.name + route.path_format
operation_id = re.sub(r"\W", "_", operation_id)
assert route.methods
operation_id = operation_id + "_" + list(route.methods)[0].lower()
return operation_id
async def solve_generator(
*, call: Callable[..., Any], stack: AsyncExitStack, sub_values: Dict[str, Any]
) -> Any:
if is_gen_callable(call):
cm = contextmanager_in_threadpool(contextmanager(call)(**sub_values))
elif is_async_gen_callable(call):
cm = asynccontextmanager(call)(**sub_values)
return await stack.enter_async_context(cm)
async def solve_dependencies(
*,
request: Union[Request, WebSocket],
dependant: Dependant,
body: Optional[Union[Dict[str, Any], FormData]] = None,
background_tasks: Optional[BackgroundTasks] = None,
response: Optional[Response] = None,
dependency_overrides_provider: Optional[Any] = None,
dependency_cache: Optional[Dict[Tuple[Callable[..., Any], Tuple[str]], Any]] = None,
) -> Tuple[
Dict[str, Any],
List[ErrorWrapper],
Optional[BackgroundTasks],
Response,
Dict[Tuple[Callable[..., Any], Tuple[str]], Any],
]:
values: Dict[str, Any] = {}
errors: List[ErrorWrapper] = []
if response is None:
response = Response()
del response.headers["content-length"]
response.status_code = None # type: ignore
dependency_cache = dependency_cache or {}
sub_dependant: Dependant
for sub_dependant in dependant.dependencies:
sub_dependant.call = cast(Callable[..., Any], sub_dependant.call)
sub_dependant.cache_key = cast(
Tuple[Callable[..., Any], Tuple[str]], sub_dependant.cache_key
)
call = sub_dependant.call
use_sub_dependant = sub_dependant
def deep_dict_update(main_dict: Dict[Any, Any], update_dict: Dict[Any, Any]) -> None:
for key, value in update_dict.items():
if (
dependency_overrides_provider
and dependency_overrides_provider.dependency_overrides
key in main_dict
and isinstance(main_dict[key], dict)
and isinstance(value, dict)
):
original_call = sub_dependant.call
call = getattr(
dependency_overrides_provider, "dependency_overrides", {}
).get(original_call, original_call)
use_path: str = sub_dependant.path # type: ignore
use_sub_dependant = get_dependant(
path=use_path,
call=call,
name=sub_dependant.name,
security_scopes=sub_dependant.security_scopes,
)
solved_result = await solve_dependencies(
request=request,
dependant=use_sub_dependant,
body=body,
background_tasks=background_tasks,
response=response,
dependency_overrides_provider=dependency_overrides_provider,
dependency_cache=dependency_cache,
)
(
sub_values,
sub_errors,
background_tasks,
_, # the subdependency returns the same response we have
sub_dependency_cache,
) = solved_result
dependency_cache.update(sub_dependency_cache)
if sub_errors:
errors.extend(sub_errors)
continue
if sub_dependant.use_cache and sub_dependant.cache_key in dependency_cache:
solved = dependency_cache[sub_dependant.cache_key]
elif is_gen_callable(call) or is_async_gen_callable(call):
stack = request.scope.get("fastapi_astack")
assert isinstance(stack, AsyncExitStack)
solved = await solve_generator(
call=call, stack=stack, sub_values=sub_values
)
elif is_coroutine_callable(call):
solved = await call(**sub_values)
else:
solved = await run_in_threadpool(call, **sub_values)
if sub_dependant.name is not None:
values[sub_dependant.name] = solved
if sub_dependant.cache_key not in dependency_cache:
dependency_cache[sub_dependant.cache_key] = solved
path_values, path_errors = request_params_to_args(
dependant.path_params, request.path_params
)
query_values, query_errors = request_params_to_args(
dependant.query_params, request.query_params
)
header_values, header_errors = request_params_to_args(
dependant.header_params, request.headers
)
cookie_values, cookie_errors = request_params_to_args(
dependant.cookie_params, request.cookies
)
values.update(path_values)
values.update(query_values)
values.update(header_values)
values.update(cookie_values)
errors += path_errors + query_errors + header_errors + cookie_errors
if dependant.body_params:
(
body_values,
body_errors,
) = await request_body_to_args( # body_params checked above
required_params=dependant.body_params, received_body=body
)
values.update(body_values)
errors.extend(body_errors)
if dependant.http_connection_param_name:
values[dependant.http_connection_param_name] = request
if dependant.request_param_name and isinstance(request, Request):
values[dependant.request_param_name] = request
elif dependant.websocket_param_name and isinstance(request, WebSocket):
values[dependant.websocket_param_name] = request
if dependant.background_tasks_param_name:
if background_tasks is None:
background_tasks = BackgroundTasks()
values[dependant.background_tasks_param_name] = background_tasks
if dependant.response_param_name:
values[dependant.response_param_name] = response
if dependant.security_scopes_param_name:
values[dependant.security_scopes_param_name] = SecurityScopes(
scopes=dependant.security_scopes
)
return values, errors, background_tasks, response, dependency_cache
def request_params_to_args(
required_params: Sequence[ModelField],
received_params: Union[Mapping[str, Any], QueryParams, Headers],
) -> Tuple[Dict[str, Any], List[ErrorWrapper]]:
values = {}
errors = []
for field in required_params:
if is_scalar_sequence_field(field) and isinstance(
received_params, (QueryParams, Headers)
deep_dict_update(main_dict[key], value)
elif (
key in main_dict
and isinstance(main_dict[key], list)
and isinstance(update_dict[key], list)
):
value = received_params.getlist(field.alias) or field.default
else:
value = received_params.get(field.alias)
field_info = field.field_info
assert isinstance(
field_info, params.Param
), "Params must be subclasses of Param"
if value is None:
if field.required:
errors.append(
ErrorWrapper(
MissingError(), loc=(field_info.in_.value, field.alias)
)
)
else:
values[field.name] = deepcopy(field.default)
continue
v_, errors_ = field.validate(
value, values, loc=(field_info.in_.value, field.alias)
)
if isinstance(errors_, ErrorWrapper):
errors.append(errors_)
elif isinstance(errors_, list):
errors.extend(errors_)
main_dict[key] = main_dict[key] + update_dict[key]
else:
values[field.name] = v_
return values, errors
main_dict[key] = value
async def request_body_to_args(
required_params: List[ModelField],
received_body: Optional[Union[Dict[str, Any], FormData]],
) -> Tuple[Dict[str, Any], List[ErrorWrapper]]:
values = {}
errors = []
if required_params:
field = required_params[0]
field_info = field.field_info
embed = getattr(field_info, "embed", None)
field_alias_omitted = len(required_params) == 1 and not embed
if field_alias_omitted:
received_body = {field.alias: received_body}
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.
for field in required_params:
loc: Tuple[str, ...]
if field_alias_omitted:
loc = ("body",)
else:
loc = ("body", field.alias)
The first one to _not_ be a `DefaultPlaceholder` will be returned.
value: Optional[Any] = None
if received_body is not None:
if (
field.shape in sequence_shapes or field.type_ in sequence_types
) and isinstance(received_body, FormData):
value = received_body.getlist(field.alias)
else:
try:
value = received_body.get(field.alias)
except AttributeError:
errors.append(get_missing_field_error(loc))
continue
if (
value is None
or (isinstance(field_info, params.Form) and value == "")
or (
isinstance(field_info, params.Form)
and field.shape in sequence_shapes
and len(value) == 0
)
):
if field.required:
errors.append(get_missing_field_error(loc))
else:
values[field.name] = deepcopy(field.default)
continue
if (
isinstance(field_info, params.File)
and lenient_issubclass(field.type_, bytes)
and isinstance(value, UploadFile)
):
value = await value.read()
elif (
field.shape in sequence_shapes
and isinstance(field_info, params.File)
and lenient_issubclass(field.type_, bytes)
and isinstance(value, sequence_types)
):
results: List[Union[bytes, str]] = []
async def process_fn(
fn: Callable[[], Coroutine[Any, Any, Any]]
) -> None:
result = await fn()
results.append(result)
async with anyio.create_task_group() as tg:
for sub_value in value:
tg.start_soon(process_fn, sub_value.read)
value = sequence_shape_to_type[field.shape](results)
v_, errors_ = field.validate(value, values, loc=loc)
if isinstance(errors_, ErrorWrapper):
errors.append(errors_)
elif isinstance(errors_, list):
errors.extend(errors_)
else:
values[field.name] = v_
return values, errors
def get_missing_field_error(loc: Tuple[str, ...]) -> ErrorWrapper:
missing_field_error = ErrorWrapper(MissingError(), loc=loc)
return missing_field_error
def get_body_field(*, dependant: Dependant, name: str) -> Optional[ModelField]:
flat_dependant = get_flat_dependant(dependant)
if not flat_dependant.body_params:
return None
first_param = flat_dependant.body_params[0]
field_info = first_param.field_info
embed = getattr(field_info, "embed", None)
body_param_names_set = {param.name for param in flat_dependant.body_params}
if len(body_param_names_set) == 1 and not embed:
check_file_field(first_param)
return first_param
# If one field requires to embed, all have to be embedded
# in case a sub-dependency is evaluated with a single unique body field
# That is combined (embedded) with other body fields
for param in flat_dependant.body_params:
setattr(param.field_info, "embed", True) # noqa: B010
model_name = "Body_" + name
BodyModel: Type[BaseModel] = create_model(model_name)
for f in flat_dependant.body_params:
BodyModel.__fields__[f.name] = f
required = any(True for f in flat_dependant.body_params if f.required)
BodyFieldInfo_kwargs: Dict[str, Any] = {"default": None}
if any(isinstance(f.field_info, params.File) for f in flat_dependant.body_params):
BodyFieldInfo: Type[params.Body] = params.File
elif any(isinstance(f.field_info, params.Form) for f in flat_dependant.body_params):
BodyFieldInfo = params.Form
else:
BodyFieldInfo = params.Body
body_param_media_types = [
f.field_info.media_type
for f in flat_dependant.body_params
if isinstance(f.field_info, params.Body)
]
if len(set(body_param_media_types)) == 1:
BodyFieldInfo_kwargs["media_type"] = body_param_media_types[0]
final_field = create_response_field(
name="body",
type_=BodyModel,
required=required,
alias="body",
field_info=BodyFieldInfo(**BodyFieldInfo_kwargs),
)
check_file_field(final_field)
return final_field
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

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