Route handlers#
Route handlers are the core of Litestar. They are constructed by decorating a function or class method with one of the handler decorators exported from Litestar.
For example:
from litestar import get
@get("/")
def greet() -> str:
return "hello world"
In the above example, the decorator includes all the information required to define the endpoint operation for the
combination of the path "/"
and the http verb GET
. In this case it will be a http response with a “Content-Type”
header of text/plain
.
What the decorator does, is wrap the function or method within a class instance that inherits from
BaseRouteHandler
. These classes are optimized
descriptor classes that record all the data necessary for the given function or method - this includes a modelling of
the function signature, which allows for injection of kwargs and dependencies, as well as data pertinent to OpenAPI
spec generation.
Synchronous and asynchronous callables
Both synchronous and asynchronous callables are supported. One important aspect of this is that using a synchronous function which perform blocking operations, such as I/O or computationally intensive tasks, can potentially block the main thread running the event loop, and in turn block the whole application.
To mitigate this, the sync_to_thread
parameter can be set to True
, which
will result in the function being run in a thread pool. Should the function be
non-blocking, sync_to_thread
should be set to False
instead.
If a synchronous function is passed, without setting an explicit sync_to_thread
value, a warning will be raised.
See also
Declaring path(s)#
All route handler decorator accept an optional path argument. This argument can be declared as a kwarg using the path
key word:
from litestar import get
@get(path="/some-path")
async def my_route_handler() -> None:
...
It can also be passed as an argument without the key-word:
from litestar import get
@get("/some-path")
async def my_route_handler() -> None:
...
And the value for this argument can be either a string path, as in the above examples, or a list of string paths:
from litestar import get
@get(["/some-path", "/some-other-path"])
async def my_route_handler() -> None:
...
This is particularly useful when you want to have optional path parameters:
from litestar import get
@get(
["/some-path", "/some-path/{some_id:int}"],
)
async def my_route_handler(some_id: int = 1) -> None:
...
Handler function kwargs#
Route handler functions or methods access various data by declaring these as annotated function kwargs. The annotated kwargs are inspected by Litestar and then injected into the request handler.
The following sources can be accessed using annotated function kwargs:
Additionally, you can specify the following special kwargs, what’s called “reserved keywords” internally:
cookies
: injects the requestcookies
as a parsed dictionary.headers
: injects the request headers as an instance ofHeaders
, which is a case-insensitive mapping.query
: injects the requestquery_params
as a parsed dictionary.request
: injects theRequest
instance. Available only for http route handlersscope
: injects the ASGI scope dictionary.socket
: injects theWebSocket
instance. Available only for websocket route handlersstate
: injects a copy of the applicationState
.body
: the raw request body. Available only for http route handlers
For example:
from typing import Any, Dict
from litestar import Request, get
from litestar.datastructures import Headers, State
@get(path="/")
async def my_request_handler(
state: State,
request: Request,
headers: Headers,
query: Dict[str, Any],
cookies: Dict[str, Any],
) -> None:
...
from typing import Any
from litestar import Request, get
from litestar.datastructures import Headers, State
@get(path="/")
async def my_request_handler(
state: State,
request: Request,
headers: Headers,
query: dict[str, Any],
cookies: dict[str, Any],
) -> None:
...
Tip
You can define a custom typing for your application state and then use it as a type instead of just using the State class from Litestar
Handler function type annotations#
Litestar enforces strict type annotations. Functions decorated by a route handler must have all their kwargs and
return value type annotated. If a type annotation is missing, an
ImproperlyConfiguredException
will be raised during the
application boot-up process.
There are several reasons for why this limitation is enforced:
to ensure best practices
to ensure consistent OpenAPI schema generation
to allow Litestar to compute during the application bootstrap all the kwargs required by a function
HTTP route handlers#
The most commonly used route handlers are those that handle http requests and responses. These route handlers all
inherit from the class HTTPRouteHandler
, which
is aliased as the decorator called route
:
from litestar import HttpMethod, route
@route(path="/some-path", http_method=[HttpMethod.GET, HttpMethod.POST])
async def my_endpoint() -> None:
...
As mentioned above, route
does is merely an alias for HTTPRouteHandler
, thus the below code is equivalent to the one
above:
from litestar import HttpMethod
from litestar.handlers.http_handlers import HTTPRouteHandler
@HTTPRouteHandler(path="/some-path", http_method=[HttpMethod.GET, HttpMethod.POST])
async def my_endpoint() -> None:
...
HTTP route handlers kwargs#
The route
decorator requires an http_method
kwarg, which is a member of the
HttpMethod
enum or a list of members, e.g. HttpMethod.GET
or
[HttpMethod.PATCH, HttpMethod.PUT]
.
Semantic handler decorators#
Litestar also includes “semantic” decorators, that is, decorators the pre-set the http_method
kwarg to a specific HTTP
verb, which correlates with their name:
These are used exactly like route
with the sole exception that you cannot configure the http_method
kwarg:
from litestar import delete, get, patch, post, put, head
from pydantic import BaseModel
class Resource(BaseModel):
...
@get(path="/resources")
async def list_resources() -> list[Resource]:
...
@post(path="/resources")
async def create_resource(data: Resource) -> Resource:
...
@get(path="/resources/{pk:int}")
async def retrieve_resource(pk: int) -> Resource:
...
@head(path="/resources/{pk:int}")
async def retrieve_resource_head(pk: int) -> None:
...
@put(path="/resources/{pk:int}")
async def update_resource(data: Resource, pk: int) -> Resource:
...
@patch(path="/resources/{pk:int}")
async def partially_update_resource(data: Partial[Resource], pk: int) -> Resource:
...
@delete(path="/resources/{pk:int}")
async def delete_resource(pk: int) -> None:
...
Although these decorators are merely subclasses of HTTPRouteHandler
that pre-set the http_method
, using get, patch, put, delete or post instead of route makes the
code clearer and simpler.
Furthermore, in the OpenAPI specification each unique combination of http verb (e.g. “GET”, “POST” etc.) and path is
regarded as a distinct operation, and each operation
should be distinguished by a unique operation_id
and optimally also have a summary
and description
sections.
As such, using the route
decorator is discouraged. Instead, the preferred pattern is to share code using secondary
class methods or by abstracting code to reusable functions.
Websocket route handlers#
A WebSocket connection can be handled with a websocket
route handler.
Note
The websocket handler is a low level approach, requiring to handle the socket directly, and dealing with keeping it open, exceptions, client disconnects and content negotiation.
For a more high level approach to handling WebSockets, see WebSockets
from litestar import WebSocket, websocket
@websocket(path="/socket")
async def my_websocket_handler(socket: WebSocket) -> None:
await socket.accept()
await socket.send_json({...})
await socket.close()
The websocket
decorator is an alias of the class
WebsocketRouteHandler
. Thus, the below
code is equivalent to the one above:
from litestar import WebSocket
from litestar.handlers.websocket_handlers import WebsocketRouteHandler
@WebsocketRouteHandler(path="/socket")
async def my_websocket_handler(socket: WebSocket) -> None:
await socket.accept()
await socket.send_json({...})
await socket.close()
In difference to HTTP routes handlers, websocket handlers have the following requirements:
they must declare a
socket
kwarg.they must have a return annotation of
None
.they must be async functions.
These requirements are enforced using inspection, and if any of them is unfulfilled an informative exception will be raised.
Note
OpenAPI currently does not support websockets. As such no schema will be generated for these route handlers.
See also
ASGI route handlers#
If you need to write your own ASGI application, you can do so using the asgi
decorator:
from litestar.types import Scope, Receive, Send
from litestar.status_codes import HTTP_400_BAD_REQUEST
from litestar import Response, asgi
@asgi(path="/my-asgi-app")
async def my_asgi_app(scope: Scope, receive: Receive, send: Send) -> None:
if scope["type"] == "http":
if scope["method"] == "GET":
response = Response({"hello": "world"})
await response(scope=scope, receive=receive, send=send)
return
response = Response(
{"detail": "unsupported request"}, status_code=HTTP_400_BAD_REQUEST
)
await response(scope=scope, receive=receive, send=send)
Like other route handlers, the asgi
decorator is an alias of the class
ASGIRouteHandler
. Thus,
the code below is equivalent to the one above:
from litestar import Response
from litestar.handlers.asgi_handlers import ASGIRouteHandler
from litestar.status_codes import HTTP_400_BAD_REQUEST
from litestar.types import Scope, Receive, Send
@ASGIRouteHandler(path="/my-asgi-app")
async def my_asgi_app(scope: Scope, receive: Receive, send: Send) -> None:
if scope["type"] == "http":
if scope["method"] == "GET":
response = Response({"hello": "world"})
await response(scope=scope, receive=receive, send=send)
return
response = Response(
{"detail": "unsupported request"}, status_code=HTTP_400_BAD_REQUEST
)
await response(scope=scope, receive=receive, send=send)
Limitations of ASGI route handlers#
In difference to the other route handlers, the asgi
route handler accepts only 3 kwargs that must be defined:
scope
, a mapping of values describing the ASGI connection. It always includes atype
key, with the values being eitherhttp
orwebsocket
, and apath
key. If the type ishttp
, the scope dictionary will also include amethod
key with the value being one ofDELETE, GET, POST, PATCH, PUT, HEAD
.receive
, an injected function by which the ASGI application receives messages.send
, an injected function by which the ASGI application sends messages.
You can read more about these in the ASGI specification.
Additionally, ASGI route handler functions must be async functions. This is enforced using inspection, and if the function is not an async function, an informative exception will be raised.
See the API Reference
for full details on the asgi
decorator and the
kwargs it accepts.
Route handler indexing#
You can provide in all route handler decorators a name
kwarg. The value for this kwarg must be unique, otherwise
ImproperlyConfiguredException
exception will be raised. Default
value for name
is value returned by handler.__str__
which should be the full dotted path to the handler
(e.g. app.controllers.projects.list
for list
function residing in app/controllers/projects.py
file). name
can
be used to dynamically retrieve (i.e. during runtime) a mapping containing the route handler instance and paths, also
it can be used to build a URL path for that handler:
from litestar import Litestar, Request, get
from litestar.exceptions import NotFoundException
from litestar.response_containers import Redirect
@get("/abc", name="one")
def handler_one() -> None:
pass
@get("/xyz", name="two")
def handler_two() -> None:
pass
@get("/def/{param:int}", name="three")
def handler_three(param: int) -> None:
pass
@get("/{handler_name:str}", name="four")
def handler_four(request: Request, name: str) -> Redirect:
handler_index = request.app.get_handler_index_by_name(name)
if not handler_index:
raise NotFoundException(f"no handler matching the name {name} was found")
# handler_index == { "paths": ["/"], "handler": ..., "qualname": ... }
# do something with the handler index below, e.g. send a redirect response to the handler, or access
# handler.opt and some values stored there etc.
return Redirect(path=handler_index[0])
@get("/redirect/{param_value:int}", name="five")
def handler_five(request: Request, param_value: int) -> Redirect:
path = request.app.route_reverse("three", param=param_value)
return Redirect(path=path)
app = Litestar(route_handlers=[handler_one, handler_two, handler_three])
route_reverse
will raise
NoMatchRouteFoundException
if route with given name was not found
or if any of path parameters is missing or if any of passed path parameters types do not match types in the respective
route declaration. However, str
is accepted in place of datetime.datetime
, datetime.date
,
datetime.time
, datetime.timedelta
, float
, and pathlib.Path
parameters, so you can apply custom formatting and pass the result to route_reverse
.
If handler has multiple paths attached to it route_reverse
will return the path that consumes the most number of
keywords arguments passed to the function.
from litestar import get, Request
@get(
["/some-path", "/some-path/{id:int}", "/some-path/{id:int}/{val:str}"],
name="handler_name",
)
def handler(id: int = 1, val: str = "default") -> None:
...
@get("/path-info")
def path_info(request: Request) -> str:
path_optional = request.app.route_reverse("handler_name")
# /some-path`
path_partial = request.app.route_reverse("handler_name", id=100)
# /some-path/100
path_full = request.app.route_reverse("handler_name", id=100, val="value")
# /some-path/100/value`
return f"{path_optional} {path_partial} {path_full}"
If there are multiple paths attached to a handler that have the same path parameters (for example indexed handler
has been registered on multiple routers) the result of route_reverse
is not defined.
The function will return a formatted path, but it might be picked randomly so reversing urls in such cases is highly
discouraged.
If you have access to request
instance you can make reverse lookups using
url_for
function which is similar to route_reverse
but returns
absolute URL.
Handler opts
#
All route handler decorators accept a key called opt
which accepts a dictionary of arbitrary values, e.g.
from litestar import get
@get("/", opt={"my_key": "some-value"})
def handler() -> None:
...
This dictionary can be accessed by a route guard, or by accessing the route_handler
property on a request
, or using the
ASGI scope
object directly.
Passing keyword arguments to handlers#
Building on opts
, you can pass any arbitrary kwarg to the route handler decorator, and it will be automatically set
as a key in the opt dictionary:
from litestar import get
@get("/", my_key="some-value")
def handler() -> None:
...
assert handler.opt["my_key"] == "some-value"
You can specify the opt
dictionary at all levels of your application. On specific route handlers, on a controller,
a router, and even on the app instance itself.
The resulting dictionary is constructed by merging opt dictionaries of all levels. If multiple layers define the same key, the value from the closest layer to the response handler will take precedence.
Signature namespace#
Litestar produces a model of the arguments to any handler or dependency function, called a “signature model” which is used for parsing and validation of raw data to be injected into the function.
Building the model requires inspection of the names and types of the signature parameters at runtime, and so it is
necessary for the types to be available within the scope of the module - something that linting tools such as ruff
or flake8-type-checking
will actively monitor, and suggest against.
For example, the name Model
is not available at runtime in the following snippet:
from __future__ import annotations
from typing import TYPE_CHECKING
from litestar import Controller, post
if TYPE_CHECKING:
from domain import Model
class MyController(Controller):
@post()
def create_item(data: Model) -> Model:
return data
In this example, Litestar will be unable to generate the signature model because the type Model
does not exist in
the module scope at runtime. We can address this on a case-by-case basis by silencing our linters, for example:
from __future__ import annotations
However, this approach can get tedious, so as an alternative, Litestar accepts a signature_namespace
mapping at
every layer of the application. The following is a demonstration of how to use this
pattern.
This module defines our domain type in some central place.
from __future__ import annotations
from dataclasses import dataclass
@dataclass
class Model:
a: int
b: str
This module defines our controller, note that we don’t import Model
into the runtime namespace, nor do we require
any directives to control behavior of linters.
from __future__ import annotations
from typing import TYPE_CHECKING
from litestar import Controller, post
if TYPE_CHECKING:
from .domain import Model
class MyController(Controller):
@post(sync_to_thread=False)
def post_handler(self, data: Model) -> Model:
return data
Finally, we ensure that our application knows that when it encounters the name “Model” when parsing signatures, that it
should reference our domain Model
type.
from __future__ import annotations
from litestar import Litestar
from .controller import MyController
from .domain import Model
app = Litestar(route_handlers=[MyController], signature_namespace={"Model": Model})
Default signature namespace#
Litestar automatically adds some names to the signature namespace when parsing signature models in order to support injection of the Handler function kwargs.
These names are:
Headers
ImmutableState
Receive
Request
Scope
Send
State
WebSocket
WebSocketScope
The import of any of these names can be safely left inside an if TYPE_CHECKING:
block without any configuration
required.