KafkaRouter
faststream.confluent.fastapi.KafkaRouter #
KafkaRouter(
bootstrap_servers: str | Iterable[str] = "localhost",
*,
request_timeout_ms: int = 40 * 1000,
retry_backoff_ms: int = 100,
metadata_max_age_ms: int = 5 * 60 * 1000,
connections_max_idle_ms: int = 9 * 60 * 1000,
client_id: str | None = SERVICE_NAME,
allow_auto_create_topics: bool = True,
config: Optional[ConfluentConfig] = None,
acks: Literal[0, 1, -1, "all"] = EMPTY,
compression_type: Literal[
"gzip", "snappy", "lz4", "zstd"
]
| None = None,
partitioner: str
| Callable[
[bytes, list[Partition], list[Partition]], Partition
] = "consistent_random",
max_request_size: int = 1024 * 1024,
linger_ms: int = 0,
enable_idempotence: bool = False,
transactional_id: str | None = None,
transaction_timeout_ms: int = 60 * 1000,
graceful_timeout: float | None = 15.0,
decoder: Optional[CustomCallable] = None,
parser: Optional[CustomCallable] = None,
middlewares: Sequence[BrokerMiddleware[Any, Any]] = (),
specification: Optional[SpecificationFactory] = None,
security: Optional[BaseSecurity] = None,
specification_url: str | None = None,
protocol: str | None = None,
protocol_version: str = "auto",
description: str | None = None,
specification_tags: Iterable[Union[Tag, TagDict]] = (),
logger: Optional[LoggerProto] = EMPTY,
log_level: int = INFO,
setup_state: bool = True,
context: ContextRepo | None = None,
schema_url: str | None = "/asyncapi",
prefix: str = "",
tags: list[Union[str, Enum]] | None = None,
dependencies: Sequence[Depends] | None = None,
default_response_class: type[Response] = Default(
JSONResponse
),
responses: dict[int | str, dict[str, Any]]
| None = None,
callbacks: list[BaseRoute] | None = None,
routes: list[BaseRoute] | None = None,
redirect_slashes: bool = True,
default: Optional[ASGIApp] = None,
dependency_overrides_provider: Any | None = None,
route_class: type[APIRoute] = APIRoute,
on_startup: Sequence[Callable[[], Any]] | None = None,
on_shutdown: Sequence[Callable[[], Any]] | None = None,
lifespan: Optional[Lifespan[Any]] = None,
deprecated: bool | None = None,
include_in_schema: bool = True,
generate_unique_id_function: Callable[
[APIRoute], str
] = Default(generate_unique_id),
)
Bases: StreamRouter[Message | tuple[Message, ...]]
A class to represent a Kafka router.
Initialize the KafkaRouter.
| PARAMETER | DESCRIPTION |
|---|---|
bootstrap_servers | A This does not have to be the full node list. It just needs to have at least one broker that will respond to a Metadata API Request. Default port is 9092. TYPE: |
request_timeout_ms | Client request timeout in milliseconds. TYPE: |
retry_backoff_ms | Milliseconds to backoff when retrying on errors. TYPE: |
metadata_max_age_ms | The period of time in milliseconds after which we force a refresh of metadata even if we haven't seen any partition leadership changes to proactively discover any new brokers or partitions. TYPE: |
connections_max_idle_ms | Close idle connections after the number of milliseconds specified by this config. Specifying TYPE: |
client_id | A name for this client. This string is passed in each request to servers and can be used to identify specific server-side log entries that correspond to this client. Also submitted to :class: TYPE: |
allow_auto_create_topics | Allow automatic topic creation on the broker when subscribing to or assigning non-existent topics. TYPE: |
config | Extra configuration for the confluent-kafka-python producer/consumer. See TYPE: |
acks | One of
If unset, defaults to TYPE: |
compression_type | The compression type for all data generated bythe producer. Compression is of full batches of data, so the efficacy of batching will also impact the compression ratio (more batching means better compression). TYPE: |
partitioner | Callable used to determine which partition each message is assigned to. Called (after key serialization): TYPE: |
max_request_size | The maximum size of a request. This is also effectively a cap on the maximum record size. Note that the server has its own cap on record size which may be different from this. This setting will limit the number of record batches the producer will send in a single request to avoid sending huge requests. TYPE: |
linger_ms | The producer groups together any records that arrive in between request transmissions into a single batched request. Normally this occurs only under load when records arrive faster than they can be sent out. However in some circumstances the client may want to reduce the number of requests even under moderate load. This setting accomplishes this by adding a small amount of artificial delay; that is, if first request is processed faster, than TYPE: |
enable_idempotence | When set to TYPE: |
transactional_id | Transactional ID for the producer. TYPE: |
transaction_timeout_ms | Transaction timeout in milliseconds. TYPE: |
graceful_timeout | Graceful shutdown timeout. Broker waits for all running subscribers completion before shut down. TYPE: |
decoder | Custom decoder object. TYPE: |
parser | Custom parser object. TYPE: |
middlewares | Middlewares to apply to all broker publishers/subscribers. TYPE: |
specification | Optional specification factory to generate the AsyncAPI schema for the broker. If provided, this will be used to customize or override the default schema generation. TYPE: |
security | Security options to connect broker and generate Specification server security information. TYPE: |
specification_url | Specification hardcoded server addresses. Use TYPE: |
protocol | Specification server protocol. TYPE: |
protocol_version | Specification server protocol version. TYPE: |
description | Specification server description. TYPE: |
specification_tags | Specification server tags. |
context | faststream.ContextRepo object to store application injections. TYPE: |
logger | User specified logger to pass into Context and log service messages. TYPE: |
log_level | Service messages log level. TYPE: |
setup_state | Whether to add broker to app scope in lifespan. You should disable this option at old ASGI servers. TYPE: |
schema_url | The URL path where the AsyncAPI schema will be served (e.g. "/asyncapi"). If set to None, the schema endpoint will not be added automatically. TYPE: |
prefix | An optional path prefix for the router. TYPE: |
tags | A list of tags to be applied to all the path operations in this router. It will be added to the generated OpenAPI (e.g. visible at Read more about it in the FastAPI docs for Path Operation Configuration: https://fastapi.tiangolo.com/tutorial/path-operation-configuration/ TYPE: |
dependencies | A list of dependencies (using Read more about it in the FastAPI docs for Bigger Applications - Multiple Files: https://fastapi.tiangolo.com/tutorial/bigger-applications/#include-an-apirouter-with-a-custom-prefix-tags-responses-and-dependencies TYPE: |
default_response_class | The default response class to be used. Read more in the FastAPI docs for Custom Response - HTML, Stream, File, others: https://fastapi.tiangolo.com/advanced/custom-response/#default-response-class TYPE: |
responses | Additional responses to be shown in OpenAPI. It will be added to the generated OpenAPI (e.g. visible at Read more about it in the FastAPI docs for Additional Responses in OpenAPI: https://fastapi.tiangolo.com/advanced/additional-responses/ And in the FastAPI docs for Bigger Applications: https://fastapi.tiangolo.com/tutorial/bigger-applications/#include-an-apirouter-with-a-custom-prefix-tags-responses-and-dependencies TYPE: |
callbacks | OpenAPI callbacks that should apply to all path operations in this router. It will be added to the generated OpenAPI (e.g. visible at Read more about it in the FastAPI docs for OpenAPI Callbacks: https://fastapi.tiangolo.com/advanced/openapi-callbacks/ TYPE: |
routes | Note: you probably shouldn't use this parameter, it is inherited from Starlette and supported for compatibility. A list of routes to serve incoming HTTP and WebSocket requests. You normally wouldn't use this parameter with FastAPI, it is inherited from Starlette and supported for compatibility. In FastAPI, you normally would use the path operation methods, like TYPE: |
redirect_slashes | Whether to detect and redirect slashes in URLs when the client doesn't use the same format. TYPE: |
default | Default function handler for this router. Used to handle 404 Not Found errors. TYPE: |
dependency_overrides_provider | Only used internally by FastAPI to handle dependency overrides. You shouldn't need to use it. It normally points to the TYPE: |
route_class | Custom route (path operation) class to be used by this router. Read more about it in the FastAPI docs for Custom Request and APIRoute class: https://fastapi.tiangolo.com/how-to/custom-request-and-route/#custom-apiroute-class-in-a-router TYPE: |
on_startup | A list of startup event handler functions. You should instead use the Read more in the FastAPI docs for TYPE: |
on_shutdown | A list of shutdown event handler functions. You should instead use the Read more in the FastAPI docs for TYPE: |
lifespan | A Read more in the FastAPI docs for TYPE: |
deprecated | Mark all path operations in this router as deprecated. It will be added to the generated OpenAPI (e.g. visible at Read more about it in the FastAPI docs for Path Operation Configuration: https://fastapi.tiangolo.com/tutorial/path-operation-configuration/ TYPE: |
include_in_schema | To include (or not) all the path operations in this router in the generated OpenAPI. This affects the generated OpenAPI (e.g. visible at Read more about it in the FastAPI docs for Query Parameters and String Validations: https://fastapi.tiangolo.com/tutorial/query-params-str-validations/#exclude-parameters-from-openapi TYPE: |
generate_unique_id_function | Customize the function used to generate unique IDs for the path operations shown in the generated OpenAPI. This is particularly useful when automatically generating clients or SDKs for your API. Read more about it in the FastAPI docs about how to Generate Clients: https://fastapi.tiangolo.com/advanced/generate-clients/#custom-generate-unique-id-function TYPE: |
Source code in faststream/confluent/fastapi/fastapi.py
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middleware_stack instance-attribute #
on_startup instance-attribute #
on_shutdown instance-attribute #
dependency_overrides_provider instance-attribute #
generate_unique_id_function instance-attribute #
fastapi_config instance-attribute #
set_broker #
Set already existed App object broker.
Useful then you create/init broker in on_startup hook.
Source code in faststream/_internal/application.py
add_broker #
Source code in faststream/_internal/application.py
not_found async #
Source code in starlette/routing.py
url_path_for #
lifespan async #
Handle ASGI lifespan messages, which allows us to manage application startup and shutdown events.
Source code in starlette/routing.py
app async #
Source code in fastapi/routing.py
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mount #
host #
add_route #
add_route(
path: str,
endpoint: Callable[
[Request], Awaitable[Response] | Response
],
methods: Collection[str] | None = None,
name: str | None = None,
include_in_schema: bool = True,
) -> None
Source code in fastapi/routing.py
add_websocket_route #
frontend #
frontend(
path: str,
*,
directory: str | PathLike[str],
fallback: Literal["auto", "index.html", "404.html"]
| None = "auto",
check_dir: bool = True,
) -> None
Serve a static frontend build as low-priority routes.
Use this for frontend tools that build static files into a directory, such as dist. FastAPI path operations are checked first, and the frontend files are checked only if no normal route matched.
A typical project could look like this:
.
├── pyproject.toml
├── app
│ ├── __init__.py
│ └── main.py
└── dist
├── index.html
└── assets
└── app.js
Then in app/main.py:
from fastapi import APIRouter, FastAPI
app = FastAPI()
router = APIRouter()
router.frontend("/", directory="dist")
app.include_router(router)
Source code in fastapi/routing.py
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handle async #
Source code in fastapi/routing.py
matches #
Source code in fastapi/routing.py
route #
route(
path: str,
methods: Collection[str] | None = None,
name: str | None = None,
include_in_schema: bool = True,
) -> Callable[[DecoratedCallable], DecoratedCallable]
Source code in fastapi/routing.py
add_api_route #
add_api_route(
path: str,
endpoint: Callable[..., Any],
*,
response_model: Any = Default(None),
status_code: int | None = None,
tags: list[str | Enum] | None = None,
dependencies: Sequence[Depends] | None = None,
summary: str | None = None,
description: str | None = None,
response_description: str = "Successful Response",
responses: dict[int | str, dict[str, Any]]
| None = None,
deprecated: bool | None = None,
methods: set[str] | list[str] | None = None,
operation_id: str | None = None,
response_model_include: IncEx | None = None,
response_model_exclude: IncEx | None = None,
response_model_by_alias: bool = True,
response_model_exclude_unset: bool = False,
response_model_exclude_defaults: bool = False,
response_model_exclude_none: bool = False,
include_in_schema: bool = True,
response_class: type[Response]
| DefaultPlaceholder = Default(JSONResponse),
name: str | None = None,
route_class_override: type[APIRoute] | None = None,
callbacks: list[BaseRoute] | None = None,
openapi_extra: dict[str, Any] | None = None,
generate_unique_id_function: Callable[[APIRoute], str]
| DefaultPlaceholder = Default(generate_unique_id),
strict_content_type: bool
| DefaultPlaceholder = Default(True),
) -> None
Source code in fastapi/routing.py
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api_route #
api_route(
path: str,
*,
response_model: Any = Default(None),
status_code: int | None = None,
tags: list[str | Enum] | None = None,
dependencies: Sequence[Depends] | None = None,
summary: str | None = None,
description: str | None = None,
response_description: str = "Successful Response",
responses: dict[int | str, dict[str, Any]]
| None = None,
deprecated: bool | None = None,
methods: list[str] | None = None,
operation_id: str | None = None,
response_model_include: IncEx | None = None,
response_model_exclude: IncEx | None = None,
response_model_by_alias: bool = True,
response_model_exclude_unset: bool = False,
response_model_exclude_defaults: bool = False,
response_model_exclude_none: bool = False,
include_in_schema: bool = True,
response_class: type[Response] = Default(JSONResponse),
name: str | None = None,
callbacks: list[BaseRoute] | None = None,
openapi_extra: dict[str, Any] | None = None,
generate_unique_id_function: Callable[
[APIRoute], str
] = Default(generate_unique_id),
) -> Callable[[DecoratedCallable], DecoratedCallable]
Source code in fastapi/routing.py
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add_api_websocket_route #
add_api_websocket_route(
path: str,
endpoint: Callable[..., Any],
name: str | None = None,
*,
dependencies: Sequence[Depends] | None = None,
) -> None
Source code in fastapi/routing.py
websocket #
websocket(
path: str,
name: str | None = None,
*,
dependencies: Sequence[Depends] | None = None,
) -> Callable[[DecoratedCallable], DecoratedCallable]
Decorate a WebSocket function.
Read more about it in the FastAPI docs for WebSockets.
Example
Example#
from fastapi import APIRouter, FastAPI, WebSocket
app = FastAPI()
router = APIRouter()
@router.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
await websocket.accept()
while True:
data = await websocket.receive_text()
await websocket.send_text(f"Message text was: {data}")
app.include_router(router)
Source code in fastapi/routing.py
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websocket_route #
websocket_route(
path: str, name: str | None = None
) -> Callable[[DecoratedCallable], DecoratedCallable]
Source code in fastapi/routing.py
include_router #
include_router(
router: Union[
StreamRouter[MsgType], BrokerRouter[MsgType]
],
*,
prefix: str = "",
tags: list[str | Enum] | None = None,
dependencies: Sequence[Depends] | None = None,
default_response_class: type[Response] = Default(
JSONResponse
),
responses: dict[int | str, dict[str, Any]]
| None = None,
callbacks: list[BaseRoute] | None = None,
deprecated: bool | None = None,
include_in_schema: bool = True,
generate_unique_id_function: Callable[
[APIRoute], str
] = Default(generate_unique_id),
) -> None
Includes a router in the API.
Source code in faststream/_internal/fastapi/router.py
get #
get(
path: str,
*,
response_model: Any = Default(None),
status_code: int | None = None,
tags: list[str | Enum] | None = None,
dependencies: Sequence[Depends] | None = None,
summary: str | None = None,
description: str | None = None,
response_description: str = "Successful Response",
responses: dict[int | str, dict[str, Any]]
| None = None,
deprecated: bool | None = None,
operation_id: str | None = None,
response_model_include: IncEx | None = None,
response_model_exclude: IncEx | None = None,
response_model_by_alias: bool = True,
response_model_exclude_unset: bool = False,
response_model_exclude_defaults: bool = False,
response_model_exclude_none: bool = False,
include_in_schema: bool = True,
response_class: type[Response] = Default(JSONResponse),
name: str | None = None,
callbacks: list[BaseRoute] | None = None,
openapi_extra: dict[str, Any] | None = None,
generate_unique_id_function: Callable[
[APIRoute], str
] = Default(generate_unique_id),
) -> Callable[[DecoratedCallable], DecoratedCallable]
Add a path operation using an HTTP GET operation.
Example#
from fastapi import APIRouter, FastAPI
app = FastAPI()
router = APIRouter()
@router.get("/items/")
def read_items():
return [{"name": "Empanada"}, {"name": "Arepa"}]
app.include_router(router)
Source code in fastapi/routing.py
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put #
put(
path: str,
*,
response_model: Any = Default(None),
status_code: int | None = None,
tags: list[str | Enum] | None = None,
dependencies: Sequence[Depends] | None = None,
summary: str | None = None,
description: str | None = None,
response_description: str = "Successful Response",
responses: dict[int | str, dict[str, Any]]
| None = None,
deprecated: bool | None = None,
operation_id: str | None = None,
response_model_include: IncEx | None = None,
response_model_exclude: IncEx | None = None,
response_model_by_alias: bool = True,
response_model_exclude_unset: bool = False,
response_model_exclude_defaults: bool = False,
response_model_exclude_none: bool = False,
include_in_schema: bool = True,
response_class: type[Response] = Default(JSONResponse),
name: str | None = None,
callbacks: list[BaseRoute] | None = None,
openapi_extra: dict[str, Any] | None = None,
generate_unique_id_function: Callable[
[APIRoute], str
] = Default(generate_unique_id),
) -> Callable[[DecoratedCallable], DecoratedCallable]
Add a path operation using an HTTP PUT operation.
Example#
from fastapi import APIRouter, FastAPI
from pydantic import BaseModel
class Item(BaseModel):
name: str
description: str | None = None
app = FastAPI()
router = APIRouter()
@router.put("/items/{item_id}")
def replace_item(item_id: str, item: Item):
return {"message": "Item replaced", "id": item_id}
app.include_router(router)
Source code in fastapi/routing.py
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post #
post(
path: str,
*,
response_model: Any = Default(None),
status_code: int | None = None,
tags: list[str | Enum] | None = None,
dependencies: Sequence[Depends] | None = None,
summary: str | None = None,
description: str | None = None,
response_description: str = "Successful Response",
responses: dict[int | str, dict[str, Any]]
| None = None,
deprecated: bool | None = None,
operation_id: str | None = None,
response_model_include: IncEx | None = None,
response_model_exclude: IncEx | None = None,
response_model_by_alias: bool = True,
response_model_exclude_unset: bool = False,
response_model_exclude_defaults: bool = False,
response_model_exclude_none: bool = False,
include_in_schema: bool = True,
response_class: type[Response] = Default(JSONResponse),
name: str | None = None,
callbacks: list[BaseRoute] | None = None,
openapi_extra: dict[str, Any] | None = None,
generate_unique_id_function: Callable[
[APIRoute], str
] = Default(generate_unique_id),
) -> Callable[[DecoratedCallable], DecoratedCallable]
Add a path operation using an HTTP POST operation.
Example#
from fastapi import APIRouter, FastAPI
from pydantic import BaseModel
class Item(BaseModel):
name: str
description: str | None = None
app = FastAPI()
router = APIRouter()
@router.post("/items/")
def create_item(item: Item):
return {"message": "Item created"}
app.include_router(router)
Source code in fastapi/routing.py
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delete #
delete(
path: str,
*,
response_model: Any = Default(None),
status_code: int | None = None,
tags: list[str | Enum] | None = None,
dependencies: Sequence[Depends] | None = None,
summary: str | None = None,
description: str | None = None,
response_description: str = "Successful Response",
responses: dict[int | str, dict[str, Any]]
| None = None,
deprecated: bool | None = None,
operation_id: str | None = None,
response_model_include: IncEx | None = None,
response_model_exclude: IncEx | None = None,
response_model_by_alias: bool = True,
response_model_exclude_unset: bool = False,
response_model_exclude_defaults: bool = False,
response_model_exclude_none: bool = False,
include_in_schema: bool = True,
response_class: type[Response] = Default(JSONResponse),
name: str | None = None,
callbacks: list[BaseRoute] | None = None,
openapi_extra: dict[str, Any] | None = None,
generate_unique_id_function: Callable[
[APIRoute], str
] = Default(generate_unique_id),
) -> Callable[[DecoratedCallable], DecoratedCallable]
Add a path operation using an HTTP DELETE operation.
Example#
from fastapi import APIRouter, FastAPI
app = FastAPI()
router = APIRouter()
@router.delete("/items/{item_id}")
def delete_item(item_id: str):
return {"message": "Item deleted"}
app.include_router(router)
Source code in fastapi/routing.py
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options #
options(
path: str,
*,
response_model: Any = Default(None),
status_code: int | None = None,
tags: list[str | Enum] | None = None,
dependencies: Sequence[Depends] | None = None,
summary: str | None = None,
description: str | None = None,
response_description: str = "Successful Response",
responses: dict[int | str, dict[str, Any]]
| None = None,
deprecated: bool | None = None,
operation_id: str | None = None,
response_model_include: IncEx | None = None,
response_model_exclude: IncEx | None = None,
response_model_by_alias: bool = True,
response_model_exclude_unset: bool = False,
response_model_exclude_defaults: bool = False,
response_model_exclude_none: bool = False,
include_in_schema: bool = True,
response_class: type[Response] = Default(JSONResponse),
name: str | None = None,
callbacks: list[BaseRoute] | None = None,
openapi_extra: dict[str, Any] | None = None,
generate_unique_id_function: Callable[
[APIRoute], str
] = Default(generate_unique_id),
) -> Callable[[DecoratedCallable], DecoratedCallable]
Add a path operation using an HTTP OPTIONS operation.
Example#
from fastapi import APIRouter, FastAPI
app = FastAPI()
router = APIRouter()
@router.options("/items/")
def get_item_options():
return {"additions": ["Aji", "Guacamole"]}
app.include_router(router)
Source code in fastapi/routing.py
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head #
head(
path: str,
*,
response_model: Any = Default(None),
status_code: int | None = None,
tags: list[str | Enum] | None = None,
dependencies: Sequence[Depends] | None = None,
summary: str | None = None,
description: str | None = None,
response_description: str = "Successful Response",
responses: dict[int | str, dict[str, Any]]
| None = None,
deprecated: bool | None = None,
operation_id: str | None = None,
response_model_include: IncEx | None = None,
response_model_exclude: IncEx | None = None,
response_model_by_alias: bool = True,
response_model_exclude_unset: bool = False,
response_model_exclude_defaults: bool = False,
response_model_exclude_none: bool = False,
include_in_schema: bool = True,
response_class: type[Response] = Default(JSONResponse),
name: str | None = None,
callbacks: list[BaseRoute] | None = None,
openapi_extra: dict[str, Any] | None = None,
generate_unique_id_function: Callable[
[APIRoute], str
] = Default(generate_unique_id),
) -> Callable[[DecoratedCallable], DecoratedCallable]
Add a path operation using an HTTP HEAD operation.
Example#
from fastapi import APIRouter, FastAPI
from pydantic import BaseModel
class Item(BaseModel):
name: str
description: str | None = None
app = FastAPI()
router = APIRouter()
@router.head("/items/", status_code=204)
def get_items_headers(response: Response):
response.headers["X-Cat-Dog"] = "Alone in the world"
app.include_router(router)
Source code in fastapi/routing.py
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patch #
patch(
path: str,
*,
response_model: Any = Default(None),
status_code: int | None = None,
tags: list[str | Enum] | None = None,
dependencies: Sequence[Depends] | None = None,
summary: str | None = None,
description: str | None = None,
response_description: str = "Successful Response",
responses: dict[int | str, dict[str, Any]]
| None = None,
deprecated: bool | None = None,
operation_id: str | None = None,
response_model_include: IncEx | None = None,
response_model_exclude: IncEx | None = None,
response_model_by_alias: bool = True,
response_model_exclude_unset: bool = False,
response_model_exclude_defaults: bool = False,
response_model_exclude_none: bool = False,
include_in_schema: bool = True,
response_class: type[Response] = Default(JSONResponse),
name: str | None = None,
callbacks: list[BaseRoute] | None = None,
openapi_extra: dict[str, Any] | None = None,
generate_unique_id_function: Callable[
[APIRoute], str
] = Default(generate_unique_id),
) -> Callable[[DecoratedCallable], DecoratedCallable]
Add a path operation using an HTTP PATCH operation.
Example#
from fastapi import APIRouter, FastAPI
from pydantic import BaseModel
class Item(BaseModel):
name: str
description: str | None = None
app = FastAPI()
router = APIRouter()
@router.patch("/items/")
def update_item(item: Item):
return {"message": "Item updated in place"}
app.include_router(router)
Source code in fastapi/routing.py
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trace #
trace(
path: str,
*,
response_model: Any = Default(None),
status_code: int | None = None,
tags: list[str | Enum] | None = None,
dependencies: Sequence[Depends] | None = None,
summary: str | None = None,
description: str | None = None,
response_description: str = "Successful Response",
responses: dict[int | str, dict[str, Any]]
| None = None,
deprecated: bool | None = None,
operation_id: str | None = None,
response_model_include: IncEx | None = None,
response_model_exclude: IncEx | None = None,
response_model_by_alias: bool = True,
response_model_exclude_unset: bool = False,
response_model_exclude_defaults: bool = False,
response_model_exclude_none: bool = False,
include_in_schema: bool = True,
response_class: type[Response] = Default(JSONResponse),
name: str | None = None,
callbacks: list[BaseRoute] | None = None,
openapi_extra: dict[str, Any] | None = None,
generate_unique_id_function: Callable[
[APIRoute], str
] = Default(generate_unique_id),
) -> Callable[[DecoratedCallable], DecoratedCallable]
Add a path operation using an HTTP TRACE operation.
Example#
from fastapi import APIRouter, FastAPI
from pydantic import BaseModel
class Item(BaseModel):
name: str
description: str | None = None
app = FastAPI()
router = APIRouter()
@router.trace("/items/{item_id}")
def trace_item(item_id: str):
return None
app.include_router(router)
Source code in fastapi/routing.py
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add_event_handler #
Add an event handler function for startup or shutdown.
This method is kept for backward compatibility after Starlette removed support for on_startup/on_shutdown handlers.
Ref: https://github.com/Kludex/starlette/pull/3117
Source code in fastapi/routing.py
on_event #
Add an event handler for the router.
on_event is deprecated, use lifespan event handlers instead.
Read more about it in the FastAPI docs for Lifespan Events.
Source code in fastapi/routing.py
after_startup #
after_startup(
func: Callable[[AppType], Mapping[str, Any]],
) -> Callable[[AppType], Mapping[str, Any]]
after_startup(
func: Callable[[AppType], Mapping[str, Any]]
| Callable[[AppType], Awaitable[Mapping[str, Any]]]
| Callable[[AppType], None]
| Callable[[AppType], Awaitable[None]],
) -> (
Callable[[AppType], Mapping[str, Any]]
| Callable[[AppType], Awaitable[Mapping[str, Any]]]
| Callable[[AppType], None]
| Callable[[AppType], Awaitable[None]]
)
Register a function to be executed after startup.
Source code in faststream/_internal/fastapi/router.py
on_broker_shutdown #
on_broker_shutdown(
func: Callable[[AppType], None]
| Callable[[AppType], Awaitable[None]],
) -> (
Callable[[AppType], None]
| Callable[[AppType], Awaitable[None]]
)
Register a function to be executed before broker stop.
Source code in faststream/_internal/fastapi/router.py
subscriber #
subscriber(
*topics: str,
partitions: Sequence[TopicPartition] = (),
polling_interval: float = 0.1,
group_id: str | None = None,
group_instance_id: str | None = None,
fetch_max_wait_ms: int = 500,
fetch_max_bytes: int = 50 * 1024 * 1024,
fetch_min_bytes: int = 1,
max_partition_fetch_bytes: int = 1 * 1024 * 1024,
auto_offset_reset: Literal[
"latest", "earliest", "none"
] = "latest",
auto_commit_interval_ms: int = 5 * 1000,
check_crcs: bool = True,
partition_assignment_strategy: Sequence[str] = (
"roundrobin",
),
max_poll_interval_ms: int = 5 * 60 * 1000,
session_timeout_ms: int = 10 * 1000,
heartbeat_interval_ms: int = 3 * 1000,
isolation_level: Literal[
"read_uncommitted", "read_committed"
] = "read_uncommitted",
on_assign: Callable[..., None] | None = None,
on_revoke: Callable[..., None] | None = None,
on_lost: Callable[..., None] | None = None,
batch: Literal[False] = False,
max_records: int | None = None,
dependencies: Iterable[Depends] = (),
parser: Optional[CustomCallable] = None,
decoder: Optional[CustomCallable] = None,
max_workers: None = None,
ack_policy: AckPolicy = EMPTY,
no_reply: bool = False,
title: str | None = None,
description: str | None = None,
include_in_schema: bool = True,
response_model: Any = Default(None),
response_model_include: Optional[IncEx] = None,
response_model_exclude: Optional[IncEx] = None,
response_model_by_alias: bool = True,
response_model_exclude_unset: bool = False,
response_model_exclude_defaults: bool = False,
response_model_exclude_none: bool = False,
) -> DefaultSubscriber
subscriber(
*topics: str,
partitions: Sequence[TopicPartition] = (),
polling_interval: float = 0.1,
group_id: str | None = None,
group_instance_id: str | None = None,
fetch_max_wait_ms: int = 500,
fetch_max_bytes: int = 50 * 1024 * 1024,
fetch_min_bytes: int = 1,
max_partition_fetch_bytes: int = 1 * 1024 * 1024,
auto_offset_reset: Literal[
"latest", "earliest", "none"
] = "latest",
auto_commit_interval_ms: int = 5 * 1000,
check_crcs: bool = True,
partition_assignment_strategy: Sequence[str] = (
"roundrobin",
),
max_poll_interval_ms: int = 5 * 60 * 1000,
session_timeout_ms: int = 10 * 1000,
heartbeat_interval_ms: int = 3 * 1000,
isolation_level: Literal[
"read_uncommitted", "read_committed"
] = "read_uncommitted",
on_assign: Callable[..., None] | None = None,
on_revoke: Callable[..., None] | None = None,
on_lost: Callable[..., None] | None = None,
batch: Literal[False] = False,
max_records: int | None = None,
dependencies: Iterable[Depends] = (),
parser: Optional[CustomCallable] = None,
decoder: Optional[CustomCallable] = None,
max_workers: int = ...,
ack_policy: AckPolicy = EMPTY,
no_reply: bool = False,
title: str | None = None,
description: str | None = None,
include_in_schema: bool = True,
response_model: Any = Default(None),
response_model_include: Optional[IncEx] = None,
response_model_exclude: Optional[IncEx] = None,
response_model_by_alias: bool = True,
response_model_exclude_unset: bool = False,
response_model_exclude_defaults: bool = False,
response_model_exclude_none: bool = False,
) -> ConcurrentDefaultSubscriber
subscriber(
*topics: str,
partitions: Sequence[TopicPartition] = (),
polling_interval: float = 0.1,
group_id: str | None = None,
group_instance_id: str | None = None,
fetch_max_wait_ms: int = 500,
fetch_max_bytes: int = 50 * 1024 * 1024,
fetch_min_bytes: int = 1,
max_partition_fetch_bytes: int = 1 * 1024 * 1024,
auto_offset_reset: Literal[
"latest", "earliest", "none"
] = "latest",
auto_commit_interval_ms: int = 5 * 1000,
check_crcs: bool = True,
partition_assignment_strategy: Sequence[str] = (
"roundrobin",
),
max_poll_interval_ms: int = 5 * 60 * 1000,
session_timeout_ms: int = 10 * 1000,
heartbeat_interval_ms: int = 3 * 1000,
isolation_level: Literal[
"read_uncommitted", "read_committed"
] = "read_uncommitted",
on_assign: Callable[..., None] | None = None,
on_revoke: Callable[..., None] | None = None,
on_lost: Callable[..., None] | None = None,
batch: Literal[True] = ...,
max_records: int | None = None,
dependencies: Iterable[Depends] = (),
parser: Optional[CustomCallable] = None,
decoder: Optional[CustomCallable] = None,
max_workers: None = None,
title: str | None = None,
description: str | None = None,
include_in_schema: bool = True,
response_model: Any = Default(None),
response_model_include: Optional[IncEx] = None,
response_model_exclude: Optional[IncEx] = None,
response_model_by_alias: bool = True,
response_model_exclude_unset: bool = False,
response_model_exclude_defaults: bool = False,
response_model_exclude_none: bool = False,
) -> BatchSubscriber
subscriber(
*topics: str,
partitions: Sequence[TopicPartition] = (),
polling_interval: float = 0.1,
group_id: str | None = None,
group_instance_id: str | None = None,
fetch_max_wait_ms: int = 500,
fetch_max_bytes: int = 50 * 1024 * 1024,
fetch_min_bytes: int = 1,
max_partition_fetch_bytes: int = 1 * 1024 * 1024,
auto_offset_reset: Literal[
"latest", "earliest", "none"
] = "latest",
auto_commit_interval_ms: int = 5 * 1000,
check_crcs: bool = True,
partition_assignment_strategy: Sequence[str] = (
"roundrobin",
),
max_poll_interval_ms: int = 5 * 60 * 1000,
session_timeout_ms: int = 10 * 1000,
heartbeat_interval_ms: int = 3 * 1000,
isolation_level: Literal[
"read_uncommitted", "read_committed"
] = "read_uncommitted",
on_assign: Callable[..., None] | None = None,
on_revoke: Callable[..., None] | None = None,
on_lost: Callable[..., None] | None = None,
batch: bool = False,
max_records: int | None = None,
dependencies: Iterable[Depends] = (),
parser: Optional[CustomCallable] = None,
decoder: Optional[CustomCallable] = None,
max_workers: int | None = None,
ack_policy: AckPolicy = EMPTY,
no_reply: bool = False,
title: str | None = None,
description: str | None = None,
include_in_schema: bool = True,
response_model: Any = Default(None),
response_model_include: Optional[IncEx] = None,
response_model_exclude: Optional[IncEx] = None,
response_model_by_alias: bool = True,
response_model_exclude_unset: bool = False,
response_model_exclude_defaults: bool = False,
response_model_exclude_none: bool = False,
) -> Union[
BatchSubscriber,
DefaultSubscriber,
ConcurrentDefaultSubscriber,
]
subscriber(
*topics: str,
partitions: Sequence[TopicPartition] = (),
polling_interval: float = 0.1,
group_id: str | None = None,
group_instance_id: str | None = None,
fetch_max_wait_ms: int = 500,
fetch_max_bytes: int = 50 * 1024 * 1024,
fetch_min_bytes: int = 1,
max_partition_fetch_bytes: int = 1 * 1024 * 1024,
auto_offset_reset: Literal[
"latest", "earliest", "none"
] = "latest",
auto_commit_interval_ms: int = 5 * 1000,
check_crcs: bool = True,
partition_assignment_strategy: Sequence[str] = (
"roundrobin",
),
max_poll_interval_ms: int = 5 * 60 * 1000,
session_timeout_ms: int = 10 * 1000,
heartbeat_interval_ms: int = 3 * 1000,
isolation_level: Literal[
"read_uncommitted", "read_committed"
] = "read_uncommitted",
on_assign: Callable[..., None] | None = None,
on_revoke: Callable[..., None] | None = None,
on_lost: Callable[..., None] | None = None,
batch: bool = False,
max_records: int | None = None,
dependencies: Iterable[Depends] = (),
parser: Optional[CustomCallable] = None,
decoder: Optional[CustomCallable] = None,
max_workers: int | None = None,
ack_policy: AckPolicy = EMPTY,
no_reply: bool = False,
title: str | None = None,
description: str | None = None,
include_in_schema: bool = True,
response_model: Any = Default(None),
response_model_include: Optional[IncEx] = None,
response_model_exclude: Optional[IncEx] = None,
response_model_by_alias: bool = True,
response_model_exclude_unset: bool = False,
response_model_exclude_defaults: bool = False,
response_model_exclude_none: bool = False,
) -> Union[
BatchSubscriber,
DefaultSubscriber,
ConcurrentDefaultSubscriber,
]
Create a subscriber for Kafka topics.
| PARAMETER | DESCRIPTION |
|---|---|
*topics | Kafka topics to consume messages from. TYPE: |
partitions | Sequence of topic partitions. TYPE: |
polling_interval | Polling interval in seconds. TYPE: |
group_id | Name of the consumer group to join for dynamic partition assignment (if enabled), and to use for fetching and committing offsets. If TYPE: |
group_instance_id | A unique string that identifies the consumer instance. If set, the consumer is treated as a static member of the group and does not participate in consumer group management (e.g. partition assignment, rebalances). This can be used to assign partitions to specific consumers, rather than letting the group assign partitions based on consumer metadata. TYPE: |
fetch_max_wait_ms | The maximum amount of time in milliseconds the server will block before answering the fetch request if there isn't sufficient data to immediately satisfy the requirement given by TYPE: |
fetch_max_bytes | The maximum amount of data the server should return for a fetch request. This is not an absolute maximum, if the first message in the first non-empty partition of the fetch is larger than this value, the message will still be returned to ensure that the consumer can make progress. NOTE: consumer performs fetches to multiple brokers in parallel so memory usage will depend on the number of brokers containing partitions for the topic. TYPE: |
fetch_min_bytes | Minimum amount of data the server should return for a fetch request, otherwise wait up to TYPE: |
max_partition_fetch_bytes | The maximum amount of data per-partition the server will return. The maximum total memory used for a request TYPE: |
auto_offset_reset | A policy for resetting offsets on
TYPE: |
auto_commit | If
|
auto_commit_interval_ms | Milliseconds between automatic offset commits, if TYPE: |
check_crcs | Automatically check the CRC32 of the records consumed. This ensures no on-the-wire or on-disk corruption to the messages occurred. This check adds some overhead, so it may be disabled in cases seeking extreme performance. TYPE: |
partition_assignment_strategy | List of objects to use to distribute partition ownership amongst consumer instances when group management is used. This preference is implicit in the order of the strategies in the list. When assignment strategy changes: to support a change to the assignment strategy, new versions must enable support both for the old assignment strategy and the new one. The coordinator will choose the old assignment strategy until all members have been updated. Then it will choose the new strategy. TYPE: |
max_poll_interval_ms | Maximum allowed time between calls to consume messages in batches. If this interval is exceeded the consumer is considered failed and the group will rebalance in order to reassign the partitions to another consumer group member. If API methods block waiting for messages, that time does not count against this timeout. TYPE: |
session_timeout_ms | Client group session and failure detection timeout. The consumer sends periodic heartbeats ( TYPE: |
heartbeat_interval_ms | The expected time in milliseconds between heartbeats to the consumer coordinator when using Kafka's group management feature. Heartbeats are used to ensure that the consumer's session stays active and to facilitate rebalancing when new consumers join or leave the group. The value must be set lower than TYPE: |
isolation_level | Controls how to read messages written transactionally.
Non-transactional messages will be returned unconditionally in either mode. Messages will always be returned in offset order. Hence, in TYPE: |
batch | Whether to consume messages in batches or not. TYPE: |
max_records | Number of messages to consume as one batch. TYPE: |
on_assign | Callback called when partitions are assigned to the consumer during a rebalance. Receives TYPE: |
on_revoke | Callback called when partitions are revoked from the consumer during a rebalance. Receives TYPE: |
on_lost | Callback called when partitions are lost (e.g., due to session timeout). Receives TYPE: |
dependencies | Dependencies list ( TYPE: |
parser | Parser to map original Message object to FastStream one. TYPE: |
decoder | Function to decode FastStream msg bytes body to python objects. TYPE: |
middlewares | Subscriber middlewares to wrap incoming message processing.
|
no_ack | Whether to disable FastStream auto acknowledgement logic or not.
|
ack_policy | Acknowledgement policy for the subscriber. TYPE: |
no_reply | Whether to disable FastStream RPC and Reply To auto responses or not. TYPE: |
title | Specification subscriber object title. TYPE: |
description | Specification subscriber object description. Uses decorated docstring as default. TYPE: |
include_in_schema | Whether to include operation in Specification schema or not. TYPE: |
max_workers | Number of workers to process messages concurrently. TYPE: |
response_model | The type to use for the response. It could be any valid Pydantic field type. So, it doesn't have to be a Pydantic model, it could be other things, like a It will be used for:
Read more about it in the FastAPI docs for Response Model. TYPE: |
response_model_include | Configuration passed to Pydantic to include only certain fields in the response data. Read more about it in the FastAPI docs for Response Model - Return Type. TYPE: |
response_model_exclude | Configuration passed to Pydantic to exclude certain fields in the response data. Read more about it in the FastAPI docs for Response Model - Return Type. TYPE: |
response_model_by_alias | Configuration passed to Pydantic to define if the response model should be serialized by alias when an alias is used. Read more about it in the FastAPI docs for Response Model - Return Type. TYPE: |
response_model_exclude_unset | Configuration passed to Pydantic to define if the response data should have all the fields, including the ones that were not set and have their default values. This is different from When Read more about it in the FastAPI docs for Response Model - Return Type. TYPE: |
response_model_exclude_defaults | Configuration passed to Pydantic to define if the response data should have all the fields, including the ones that have the same value as the default. This is different from When Read more about it in the FastAPI docs for Response Model - Return Type. TYPE: |
response_model_exclude_none | Configuration passed to Pydantic to define if the response data should exclude fields set to This is much simpler (less smart) than Read more about it in the FastAPI docs for Response Model - Return Type. TYPE: |
Source code in faststream/confluent/fastapi/fastapi.py
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publisher #
publisher(
topic: str,
*,
key: bytes | str | None = None,
partition: int | None = None,
headers: dict[str, str] | None = None,
reply_to: str = "",
batch: Literal[False] = False,
title: str | None = None,
description: str | None = None,
schema: Any | None = None,
include_in_schema: bool = True,
) -> DefaultPublisher
publisher(
topic: str,
*,
key: bytes | str | None = None,
partition: int | None = None,
headers: dict[str, str] | None = None,
reply_to: str = "",
batch: Literal[True] = ...,
title: str | None = None,
description: str | None = None,
schema: Any | None = None,
include_in_schema: bool = True,
) -> BatchPublisher
publisher(
topic: str,
*,
key: bytes | str | None = None,
partition: int | None = None,
headers: dict[str, str] | None = None,
reply_to: str = "",
batch: bool = False,
title: str | None = None,
description: str | None = None,
schema: Any | None = None,
include_in_schema: bool = True,
) -> Union[BatchPublisher, DefaultPublisher]
publisher(
topic: str,
*,
key: bytes | str | None = None,
partition: int | None = None,
headers: dict[str, str] | None = None,
reply_to: str = "",
batch: bool = False,
title: str | None = None,
description: str | None = None,
schema: Any | None = None,
include_in_schema: bool = True,
) -> Union[BatchPublisher, DefaultPublisher]
Publish messages to a Kafka topic.
| PARAMETER | DESCRIPTION |
|---|---|
topic | Topic where the message will be published. TYPE: |
key | A key to associate with the message. Can be used to determine which partition to send the message to. If partition is TYPE: |
partition | Specify a partition. If not set, the partition will be selected using the configured TYPE: |
headers | Message headers to store metainformation. content-type and correlation_id will be set automatically by framework anyway. Can be overridden by TYPE: |
reply_to | Topic name to send response. TYPE: |
batch | Whether to send messages in batches or not. TYPE: |
title | Specification publisher object title. TYPE: |
description | Specification publisher object description. TYPE: |
schema | Specification publishing message type. Should be any python-native object annotation or TYPE: |
include_in_schema | Whetever to include operation in Specification schema or not. TYPE: |
| RETURNS | DESCRIPTION |
|---|---|
Union[BatchPublisher, DefaultPublisher] | Union["BatchPublisher", "DefaultPublisher"]: The publisher instance. |