/
file_body.py
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/
file_body.py
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import collections.abc
import enum
import inspect
import typing
from contextlib import asynccontextmanager
from pydantic.fields import ModelField
from starlette.datastructures import UploadFile
from starlette.requests import HTTPConnection, Request
from xpresso._utils.pydantic_utils import model_field_from_param
from xpresso._utils.typing import Literal
from xpresso.binders._binders.media_type_validator import MediaTypeValidator
from xpresso.binders._binders.pydantic_validators import validate_body_field
from xpresso.binders._binders.utils import (
Consumer,
ConsumerContextManager,
wrap_consumer_as_cm,
)
from xpresso.binders.api import ModelNameMap, SupportsExtractor, SupportsOpenAPI
from xpresso.openapi import models as openapi_models
from xpresso.openapi._utils import parse_examples
class FileType(enum.Enum):
bytes = enum.auto()
uploadfile = enum.auto()
stream = enum.auto()
STREAM_TYPES = (typing.AsyncIterator, typing.AsyncGenerator, typing.AsyncIterable, collections.abc.AsyncGenerator, collections.abc.AsyncIterable, collections.abc.AsyncIterator) # type: ignore
def get_file_type(field: ModelField) -> FileType:
if field.type_ is bytes:
return FileType.bytes
if inspect.isclass(field.type_) and issubclass(field.type_, UploadFile):
return FileType.uploadfile
if field.type_ in STREAM_TYPES: # type: ignore
return FileType.stream
raise TypeError(f"Target type {field.type_.__name__} is not recognized")
RequestConsumer = Consumer[Request]
RequestConsumerContextManger = ConsumerContextManager[Request]
async def consume_into_bytes(request: Request) -> bytes:
res = bytearray()
async for chunk in request.stream():
res.extend(chunk)
return res
async def read_into_bytes(request: Request) -> bytes:
return await request.body()
def create_consume_into_uploadfile(
cls: typing.Type[UploadFile],
) -> RequestConsumerContextManger:
@asynccontextmanager
async def consume_into_uploadfile(
request: Request,
) -> typing.AsyncIterator[UploadFile]:
file = cls(
filename="body", content_type=request.headers.get("Content-Type", "*/*")
)
async for chunk in request.stream():
if chunk:
await file.write(chunk)
await file.seek(0)
try:
yield file
finally:
await file.close()
return consume_into_uploadfile
def create_read_into_uploadfile(
cls: typing.Type[UploadFile],
) -> RequestConsumerContextManger:
@asynccontextmanager
async def read_into_uploadfile(
request: Request,
) -> typing.AsyncIterator[UploadFile]:
file = cls(
filename="body", content_type=request.headers.get("Content-Type", "*/*")
)
await file.write(await request.body())
await file.seek(0)
try:
yield file
finally:
await file.close()
return read_into_uploadfile
async def consume_into_stream(request: Request) -> typing.AsyncIterator[bytes]:
return request.stream()
def has_body(conn: HTTPConnection) -> bool:
if (
"transfer-encoding" in conn.headers
and conn.headers["transfer-encoding"] == "chunked"
):
# when transfer encoding is chunked, the content length header is omitted
return True
content_length = conn.headers.get("content-length", None)
if content_length is not None and content_length != "0":
return True
return False
class Extractor(typing.NamedTuple):
media_type_validator: MediaTypeValidator
consumer_cm: RequestConsumerContextManger
field: ModelField
def __hash__(self) -> int:
return hash("file")
def __eq__(self, __o: object) -> bool:
return isinstance(__o, Extractor)
async def extract(
self, connection: HTTPConnection
) -> typing.AsyncIterator[typing.Any]:
assert isinstance(connection, Request)
if not has_body(connection):
yield validate_body_field(None, field=self.field, loc=("body",))
return
media_type = connection.headers.get("content-type", None)
self.media_type_validator.validate(media_type)
async with self.consumer_cm(connection) as res:
yield res
class ExtractorMarker(typing.NamedTuple):
media_type: typing.Optional[str]
enforce_media_type: bool
consume: bool
def register_parameter(self, param: inspect.Parameter) -> SupportsExtractor:
if self.media_type and self.enforce_media_type:
media_type_validator = MediaTypeValidator(self.media_type)
else:
media_type_validator = MediaTypeValidator(None)
consumer_cm: RequestConsumerContextManger
field = model_field_from_param(param, arbitrary_types_allowed=True)
file_type = get_file_type(field)
if file_type is FileType.bytes:
if self.consume:
consumer_cm = wrap_consumer_as_cm(consume_into_bytes)
else:
consumer_cm = wrap_consumer_as_cm(read_into_bytes)
elif file_type is FileType.uploadfile:
if self.consume:
consumer_cm = create_consume_into_uploadfile(field.type_)
else:
consumer_cm = create_read_into_uploadfile(field.type_)
else: # stream
if self.consume:
consumer_cm = wrap_consumer_as_cm(consume_into_stream)
else:
raise ValueError("consume=False is not supported for streams")
return Extractor(
media_type_validator=media_type_validator,
consumer_cm=consumer_cm,
field=field,
)
class OpenAPI(typing.NamedTuple):
media_type: str
description: typing.Optional[str]
examples: typing.Optional[openapi_models.Examples]
format: Literal["binary", "base64"]
required: bool
nullable: bool
include_in_schema: bool
def get_models(self) -> typing.List[type]:
return []
def modify_operation_schema(
self,
model_name_map: ModelNameMap,
operation: openapi_models.Operation,
components: openapi_models.Components,
) -> None:
if not self.include_in_schema:
return
operation.requestBody = operation.requestBody or openapi_models.RequestBody(
content={}
)
if not isinstance(
operation.requestBody, openapi_models.RequestBody
): # pragma: no cover
raise ValueError(
"Expected request body to be a RequestBody object, found a reference"
)
operation.requestBody.content[self.media_type] = openapi_models.MediaType(
schema=openapi_models.Schema( # type: ignore
type="string",
format=self.format,
nullable=self.nullable or None,
),
examples=self.examples,
)
operation.requestBody.required = operation.requestBody.required or self.required
operation.requestBody.description = (
operation.requestBody.description or self.description
)
class OpenAPIMarker(typing.NamedTuple):
media_type: typing.Optional[str]
description: typing.Optional[str]
examples: typing.Optional[
typing.Dict[str, typing.Union[openapi_models.Example, typing.Any]]
]
format: Literal["binary", "base64"]
include_in_schema: bool
def register_parameter(self, param: inspect.Parameter) -> SupportsOpenAPI:
field = model_field_from_param(param, arbitrary_types_allowed=True)
examples = parse_examples(self.examples) if self.examples else None
required = field.required is not False
return OpenAPI(
media_type=self.media_type or "*/*",
description=self.description,
examples=examples,
format=self.format,
required=required,
nullable=field.allow_none,
include_in_schema=self.include_in_schema,
)