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utils.py
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utils.py
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import asyncio
import inspect
from contextlib import contextmanager
from copy import deepcopy
from typing import (
Any,
Callable,
Dict,
List,
Mapping,
Optional,
Sequence,
Tuple,
Type,
Union,
cast,
)
from fastapi import params
from fastapi.concurrency import (
AsyncExitStack,
_fake_asynccontextmanager,
asynccontextmanager,
contextmanager_in_threadpool,
)
from fastapi.datastructures import MultiAliasablModelField
from fastapi.dependencies.models import Dependant, SecurityRequirement
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_LIST,
SHAPE_SEQUENCE,
SHAPE_SET,
SHAPE_SINGLETON,
SHAPE_TUPLE,
SHAPE_TUPLE_ELLIPSIS,
FieldInfo,
Required,
)
from pydantic.schema import get_annotation_from_field_info
from pydantic.typing import ForwardRef, evaluate_forwardref
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_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: MultiAliasablModelField) -> 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__
assert __version__
try:
# parse_options_header is only available in the right multlipart
from multipart.multipart import parse_options_header
assert parse_options_header
except ImportError:
logger.error(multipart_incorrect_install_error)
raise RuntimeError(multipart_incorrect_install_error)
except ImportError:
logger.error(multipart_not_installed_error)
raise RuntimeError(multipart_not_installed_error)
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,
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)
sub_dependant.security_scopes = security_scopes
return sub_dependant
CacheKey = Tuple[Optional[Callable], 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[MultiAliasablModelField]:
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: MultiAliasablModelField) -> 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 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
def is_scalar_sequence_field(field: MultiAliasablModelField) -> 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
return True
if lenient_issubclass(field.type_, sequence_types):
return True
return False
def get_typed_signature(call: Callable) -> inspect.Signature:
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, globalns),
)
for param in signature.parameters.values()
]
typed_signature = inspect.Signature(typed_params)
return typed_signature
def get_typed_annotation(param: inspect.Parameter, globalns: Dict[str, Any]) -> Any:
annotation = param.annotation
if isinstance(annotation, str):
# Temporary ignore type
# Ref: https://github.com/samuelcolvin/pydantic/issues/1738
annotation = ForwardRef(annotation) # type: ignore
annotation = evaluate_forwardref(annotation, globalns, globalns)
return annotation
async_contextmanager_dependencies_error = """
FastAPI dependencies with yield require Python 3.7 or above,
or the backports for Python 3.6, installed with:
pip install async-exit-stack async-generator
"""
def check_dependency_contextmanagers() -> None:
if AsyncExitStack is None or asynccontextmanager == _fake_asynccontextmanager:
raise RuntimeError(async_contextmanager_dependencies_error) # pragma: no cover
def get_dependant(
*,
path: str,
call: Callable,
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
if is_gen_callable(call) or is_async_gen_callable(call):
check_dependency_contextmanagers()
dependant = Dependant(call=call, name=name, path=path, use_cache=use_cache)
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"
if isinstance(param.default, params.Path):
ignore_default = False
else:
ignore_default = True
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(
*,
param: inspect.Parameter,
param_name: str,
default_field_info: Type[params.Param] = params.Param,
force_type: Optional[params.ParamTypes] = None,
ignore_default: bool = False,
) -> MultiAliasablModelField:
default_value = Required
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_value)
required = default_value == Required
annotation: Any = Any
if not param.annotation == param.empty:
annotation = param.annotation
annotation = get_annotation_from_field_info(annotation, field_info, param_name)
aliases = getattr(field_info, "aliases", tuple())
if not field_info.alias and getattr(field_info, "convert_underscores", None):
alias = param.name.replace("_", "-")
aliases = tuple(a.replace("_", "-") for a in aliases)
else:
alias = field_info.alias or param.name
field = create_response_field(
name=param.name,
type_=annotation,
default=None if required else default_value,
alias=alias,
aliases=aliases,
required=required,
field_info=field_info,
)
field.required = required
if not had_schema and not is_scalar_field(field=field):
field.field_info = params.Body(field_info.default)
return field
def add_param_to_fields(
*, field: MultiAliasablModelField, 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) -> bool:
if inspect.isroutine(call):
return inspect.iscoroutinefunction(call)
if inspect.isclass(call):
return False
call = getattr(call, "__call__", None)
return inspect.iscoroutinefunction(call)
def is_async_gen_callable(call: Callable) -> bool:
if inspect.isasyncgenfunction(call):
return True
call = getattr(call, "__call__", None)
return inspect.isasyncgenfunction(call)
def is_gen_callable(call: Callable) -> bool:
if inspect.isgeneratorfunction(call):
return True
call = getattr(call, "__call__", None)
return inspect.isgeneratorfunction(call)
async def solve_generator(
*, call: Callable, 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):
if not inspect.isasyncgenfunction(call):
# asynccontextmanager from the async_generator backfill pre python3.7
# does not support callables that are not functions or methods.
# See https://github.com/python-trio/async_generator/issues/32
#
# Expand the callable class into its __call__ method before decorating it.
# This approach will work on newer python versions as well.
call = getattr(call, "__call__", None)
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, Tuple[str]], Any]] = None,
) -> Tuple[
Dict[str, Any],
List[ErrorWrapper],
Optional[BackgroundTasks],
Response,
Dict[Tuple[Callable, Tuple[str]], Any],
]:
values: Dict[str, Any] = {}
errors: List[ErrorWrapper] = []
response = response or Response(
content=None,
status_code=None, # type: ignore
headers=None,
media_type=None,
background=None,
)
dependency_cache = dependency_cache or {}
sub_dependant: Dependant
for sub_dependant in dependant.dependencies:
sub_dependant.call = cast(Callable, sub_dependant.call)
sub_dependant.cache_key = cast(
Tuple[Callable, Tuple[str]], sub_dependant.cache_key
)
call = sub_dependant.call
use_sub_dependant = sub_dependant
if (
dependency_overrides_provider
and dependency_overrides_provider.dependency_overrides
):
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,
)
use_sub_dependant.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")
if stack is None:
raise RuntimeError(
async_contextmanager_dependencies_error
) # pragma: no cover
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[MultiAliasablModelField],
received_params: Union[Mapping[str, Any], QueryParams, Headers],
) -> Tuple[Dict[str, Any], List[ErrorWrapper]]:
values = {}
errors = []
for field in required_params:
key = field.alias
aliases = getattr(field, 'aliases') or tuple()
for alias in aliases:
if alias in received_params:
key = alias
break
if is_scalar_sequence_field(field) and isinstance(
received_params, (QueryParams, Headers)
):
value = received_params.getlist(key) or field.default
else:
value = received_params.get(key)
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(
# TODO: not sure how to properly report aliased fields
MissingError(), loc=(field_info.in_.value, aliases or field.alias) # type: ignore
)
)
else:
values[field.name] = deepcopy(field.default)
continue
v_, errors_ = field.validate(
value, values, loc=(field_info.in_.value, key)
)
if isinstance(errors_, ErrorWrapper):
errors.append(errors_)
elif isinstance(errors_, list):
errors.extend(errors_)
else:
values[field.name] = v_
return values, errors
async def request_body_to_args(
required_params: List[MultiAliasablModelField],
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}
for field in required_params:
loc: Tuple[str, ...]
if field_alias_omitted:
loc = ("body",)
else:
loc = ("body", field.alias)
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)
):
awaitables = [sub_value.read() for sub_value in value]
contents = await asyncio.gather(*awaitables)
value = sequence_shape_to_type[field.shape](contents)
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_schema_compatible_field(
*, field: MultiAliasablModelField
) -> MultiAliasablModelField:
out_field = field
if lenient_issubclass(field.type_, UploadFile):
use_type: type = bytes
if field.shape in sequence_shapes:
use_type = List[bytes]
out_field = create_response_field(
name=field.name,
type_=use_type,
class_validators=field.class_validators,
model_config=field.model_config,
default=field.default,
required=field.required,
alias=field.alias,
aliases=field.aliases,
field_info=field.field_info,
)
return out_field
def get_body_field(
*, dependant: Dependant, name: str
) -> Optional[MultiAliasablModelField]:
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:
final_field = get_schema_compatible_field(field=first_param)
check_file_field(final_field)
return final_field
# 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)
model_name = "Body_" + name
BodyModel = create_model(model_name)
for f in flat_dependant.body_params:
BodyModel.__fields__[f.name] = get_schema_compatible_field(field=f)
required = any(True for f in flat_dependant.body_params if f.required)
BodyFieldInfo_kwargs: Dict[str, Any] = dict(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 = [
getattr(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