Compare commits

..

10 Commits

Author SHA1 Message Date
kennethreitz 1c5dc1dfbb Replace HTTP/2 server push with dependency injection in backlog
HTTP/2 server push was removed from the spec and dropped by browsers.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-24 16:02:15 -04:00
kennethreitz cb4bc295b8 Docs: second improvement pass
- tutorial-auth: fix deprecated datetime.utcnow() → datetime.now(timezone.utc),
  add role-based access control section, add auth strategy comparison
- tutorial-websockets: use WebSocketDisconnect instead of bare Exception,
  add connection lifecycle section, add rejected connection test example
- tutorial-sqlalchemy: modernize to mapped_column() / Mapped[] (SQLAlchemy 2.0)
- deployment: use uv in Docker example, fix stale uv.lock reference
- quickstart: link to all tutorials in "next steps"
- sandbox: rewrite with project layout, mypy, and pattern-matching test examples

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-24 15:58:48 -04:00
kennethreitz 536428a787 Remove Unreleased section from changelog
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-24 15:54:13 -04:00
kennethreitz 3d5f3c7e93 Improve documentation across the board (#602)
## Summary

- **Deployment guide**: health check endpoint, Docker Compose example,
Caddy reverse proxy config, Procfile pattern, production checklist
- **API reference**: quick usage examples for every class (API, Request,
Response, RouteGroup, BackgroundQueue, RateLimiter, status helpers)
- **Feature tour**: new Pydantic validation and content negotiation
sections, expanded MessagePack docs
- **Testing guide**: rate limiting and mounted WSGI app test examples,
Werkzeug 3.1.7 tip
- **Middleware tutorial**: pure ASGI middleware example (no
BaseHTTPMiddleware dependency)
- **CLI guide**: environment variables section (PORT, SECRET_KEY)
- **Homepage**: updated feature list with SSE, rate limiting, Pydantic,
content negotiation, route groups
- **Backlog**: removed already-implemented items, added current ideas

+362 lines of docs, no code changes.

## Test plan
- [x] `make html` builds cleanly with no warnings
- [x] All 199 tests pass

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Signed-off-by: Kenneth Reitz <me@kennethreitz.org>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Andreas Motl <andreas.motl@panodata.org>
2026-03-24 15:51:55 -04:00
kennethreitz e0cce231ea Update CLAUDE.md to reflect lock file status
Signed-off-by: Kenneth Reitz <me@kennethreitz.org>
2026-03-24 15:42:14 -04:00
Andreas Motl 44c33475b2 Remove dependency lock file uv.lock. This is a library. (#601)
## About
We think using an `uv.lock` file is only applicable for applications,
and otherwise gives wrong impressions and expectations.

## References
- https://discuss.python.org/t/the-purpose-of-a-lock-file/38756
- https://github.com/orgs/python-poetry/discussions/7847
2026-03-24 15:35:41 -04:00
kennethreitz f4a292108b Move version below tagline in docs sidebar
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-24 15:34:49 -04:00
kennethreitz 25ea333ad4 Prefix version with v in docs sidebar
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-24 15:33:12 -04:00
kennethreitz 6279835040 Show version number in docs sidebar
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-24 15:32:48 -04:00
kennethreitz 0e493ad8d1 Add CLAUDE.md and /release command
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-24 15:31:42 -04:00
19 changed files with 627 additions and 3495 deletions
+42
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@@ -0,0 +1,42 @@
Release a new version of responder to PyPI and GitHub.
Usage: /release <version> (e.g. /release 3.6.0)
If no version is provided, ask the user what version to release.
## Steps
1. **Verify clean state**: Run `git status` and ensure the working tree is clean. If not, stop and ask the user.
2. **Run tests**: Run `uv run pytest -x --no-header -q`. If any fail, stop and report.
3. **Bump version**: Update `responder/__version__.py` to the new version.
4. **Update changelog**:
- Run `git log --oneline $(git describe --tags --abbrev=0)..HEAD` to get commits since last release.
- Add a new section in `CHANGELOG.md` under `## [Unreleased]` with the date, categorized into Added/Changed/Fixed/Removed.
- Update the compare links at the bottom of the file.
5. **Lock deps**: Run `uv lock`.
6. **Commit**: Stage `responder/__version__.py`, `CHANGELOG.md`, and `uv.lock`. Commit with message `Bump version to X.Y.Z and update changelog`.
7. **Push and tag**:
```
git push
git tag vX.Y.Z
git push origin vX.Y.Z
```
8. **GitHub release**: Create a release with `gh release create` including highlights and a link to the full changelog.
9. **Build and publish**:
```
uv build
uvx twine upload dist/responder-X.Y.Z*
```
Note: This requires a PyPI token. If twine fails due to auth, tell the user to set `TWINE_USERNAME=__token__` and `TWINE_PASSWORD` and re-run, or run `! uvx twine upload dist/responder-X.Y.Z*` interactively.
10. **Update GitHub release**: Edit the release to add a link to the PyPI page: `https://pypi.org/project/responder/X.Y.Z/`
11. **Report**: Print a summary with links to the GitHub release and PyPI page.
+1
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@@ -8,6 +8,7 @@
.DS_Store
coverage.xml
.coverage*
*.lock
__pycache__
tests/__pycache__
-4
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@@ -5,8 +5,6 @@ All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and
this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [Unreleased]
## [v3.5.0] - 2026-03-24
### Added
@@ -14,7 +12,6 @@ this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.htm
- CI validation for Python 3.14, 3.14 free-threaded, and PyPy 3.11
- Marimo notebook mounting docs and example
- Type annotations for `routes.py`
- `uv.lock` for reproducible installs
### Changed
@@ -462,7 +459,6 @@ this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.htm
- Conception!
[unreleased]: https://github.com/kennethreitz/responder/compare/v3.5.0..HEAD
[v3.5.0]: https://github.com/kennethreitz/responder/compare/v3.4.0..v3.5.0
[v3.4.0]: https://github.com/kennethreitz/responder/compare/v3.3.0..v3.4.0
[v3.3.0]: https://github.com/kennethreitz/responder/compare/v3.2.0..v3.3.0
+44
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@@ -0,0 +1,44 @@
# Responder
A familiar HTTP Service Framework for Python, by Kenneth Reitz.
## Commands
- **Tests**: `uv run pytest` (runs full suite with coverage)
- **Single test**: `uv run pytest tests/test_responder.py::test_name -xvs`
- **Lint**: `uv run ruff check .`
- **Type check**: `uv run mypy`
- **Build docs**: `cd docs && uv run make html`
- **Build package**: `uv build`
- **Lock deps**: `uv lock`
## Architecture
- `responder/api.py` — Main `API` class, the entry point for all apps
- `responder/routes.py``Router`, `Route`, `WebSocketRoute` dispatch
- `responder/models.py``Request` and `Response` wrappers around Starlette
- `responder/ext/` — Extensions: CLI, GraphQL, OpenAPI, rate limiting
- `responder/background.py` — Background task queue
- `responder/formats.py` — Content negotiation (JSON, YAML, msgpack)
- `responder/__version__.py` — Single source of truth for version string
## Conventions
- Python 3.10+ only. Use `from __future__ import annotations` where present.
- Use `inspect.iscoroutinefunction` (not `asyncio.iscoroutinefunction`).
- Tests use `api.requests` (Starlette TestClient) with `allowed_hosts=[";"]` or `["localhost"]`.
- Werkzeug 3.1.7+ rejects invalid Host headers — use `localhost` when mounting WSGI apps in tests.
- Version is in `responder/__version__.py`, bump it there.
- Changelog follows [Keep a Changelog](https://keepachangelog.com/) format in `CHANGELOG.md`.
- Compare links at the bottom of CHANGELOG.md must be updated when adding a release.
- All deps managed via `uv`. Lock file (`uv.lock`) is not committed.
## Release Process
1. Bump version in `responder/__version__.py`
2. Add changelog entry in `CHANGELOG.md` (update compare links too)
3. `uv lock` to refresh the lock file
4. Commit: `Bump version to X.Y.Z and update changelog`
5. `git tag vX.Y.Z && git push && git push origin vX.Y.Z`
6. `gh release create vX.Y.Z --title "vX.Y.Z" --notes "..."`
7. `uv build && uvx twine upload dist/responder-X.Y.Z*`
+2
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@@ -5,6 +5,8 @@
</p>
<p>
<strong>Responder</strong> — a familiar HTTP service framework for Python.
<br />
<small>v{{ version }}</small>
</p>
<h3>Useful Links</h3>
<ul>
+87 -4
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@@ -12,6 +12,20 @@ The central object of every Responder application. It holds your routes,
middleware, templates, and configuration. Create one at the top of your
module and use it to define your entire web service.
Quick example::
import responder
api = responder.API(
title="My Service", # OpenAPI title
version="1.0", # OpenAPI version
openapi="3.0.2", # enable OpenAPI
docs_route="/docs", # Swagger UI at /docs
cors=True, # enable CORS
secret_key="change-me", # session signing key
allowed_hosts=["example.com"],
)
.. module:: responder
.. autoclass:: API
@@ -28,6 +42,27 @@ parameters, the request body, cookies, and more.
Most properties are synchronous, but reading the body requires ``await``
because it involves I/O.
Common patterns::
# Headers (case-insensitive)
token = req.headers.get("Authorization")
# Query parameters: /search?q=python&page=2
query = req.params["q"]
# JSON body
data = await req.media()
# Form data
form = await req.media("form")
# File uploads
files = await req.media("files")
# Client info
ip, port = req.client
is_https = req.is_secure
.. autoclass:: Request
:inherited-members:
@@ -39,6 +74,19 @@ The response object is passed into every view as the second argument.
Mutate it to control what gets sent back to the client — the body,
status code, headers, and cookies.
Common patterns::
resp.text = "plain text" # text/plain
resp.html = "<h1>Hello</h1>" # text/html
resp.media = {"key": "value"} # application/json
resp.content = b"raw bytes" # application/octet-stream
resp.file("path/to/file.pdf") # auto content-type
resp.stream_file("large/export.csv") # streamed
resp.status_code = 201
resp.headers["X-Custom"] = "value"
resp.cookies["session"] = "abc123"
.. autoclass:: Response
:inherited-members:
@@ -47,7 +95,13 @@ Route Groups
------------
Group related routes under a shared URL prefix — useful for API versioning
and organizing large applications.
and organizing large applications::
v1 = api.group("/v1")
@v1.route("/users")
def list_users(req, resp):
resp.media = []
.. autoclass:: responder.api.RouteGroup
:members:
@@ -57,7 +111,19 @@ Background Queue
----------------
Run tasks in background threads without blocking the response. Available
as ``api.background``.
as ``api.background``::
@api.route("/submit")
async def submit(req, resp):
data = await req.media()
@api.background.task
def process(data):
# runs in a thread pool
...
process(data)
resp.media = {"status": "accepted"}
.. autoclass:: responder.background.BackgroundQueue
:members:
@@ -67,6 +133,8 @@ Query Dict
----------
A dictionary subclass for query string parameters with multi-value support.
Behaves like a normal dict for single values, but supports ``getlist()``
for parameters that appear multiple times (e.g. ``?tag=a&tag=b``).
.. autoclass:: responder.models.QueryDict
:members:
@@ -76,7 +144,15 @@ Rate Limiter
------------
In-memory token bucket rate limiter. Limits requests per client IP address
and returns ``429 Too Many Requests`` when exceeded.
and returns ``429 Too Many Requests`` when exceeded::
from responder.ext.ratelimit import RateLimiter
limiter = RateLimiter(requests=100, period=60) # 100 req/min
limiter.install(api)
Response headers: ``X-RateLimit-Limit``, ``X-RateLimit-Remaining``,
and ``Retry-After`` (when limited).
.. autoclass:: responder.ext.ratelimit.RateLimiter
:members:
@@ -86,7 +162,14 @@ Status Code Helpers
-------------------
Convenience functions for checking which category a status code falls
into. Useful in middleware and after-request hooks.
into. Useful in middleware and after-request hooks::
from responder.status_codes import is_200, is_400, is_500
@api.after_request()
def log_errors(req, resp):
if is_400(resp.status_code) or is_500(resp.status_code):
print(f"Error: {req.method} {req.url.path} -> {resp.status_code}")
.. autofunction:: responder.status_codes.is_100
+5 -4
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@@ -1,7 +1,8 @@
# Backlog
## Future Ideas
- Consider adding `after_request` hooks (complement to `before_request`)
- Explore WebSocket before_request short-circuit support
- Add rate limiting middleware
- Consider async template rendering by default
- WebSocket before_request short-circuit support (reject before accept)
- Per-route rate limiting (different limits for different endpoints)
- Built-in structured logging with request context
- OpenAPI 3.1 support
- Dependency injection for route handlers
+19
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@@ -71,6 +71,25 @@ For URLs, use a fragment::
$ responder run https://example.com/app.py#service
Environment Variables
---------------------
Responder automatically reads the ``PORT`` environment variable at
runtime:
- ``PORT`` — bind to ``0.0.0.0`` on this port (cloud platform convention)
When ``PORT`` is set, the server binds to all interfaces automatically.
This is how cloud platforms like Fly.io, Railway, and Heroku inject the
listen port.
For other settings like ``SECRET_KEY``, read them in your application
code and pass them to ``responder.API()``::
import os
api = responder.API(secret_key=os.environ["SECRET_KEY"])
Building Frontend Assets
-------------------------
+88 -4
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@@ -30,8 +30,9 @@ Here's a minimal Dockerfile::
FROM python:3.13-slim
WORKDIR /app
COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
COPY . .
RUN pip install responder
RUN uv pip install --system responder
ENV PORT=80
EXPOSE 80
CMD ["python", "api.py"]
@@ -42,9 +43,10 @@ Build and run::
$ docker run -p 8000:80 myapi
The ``python:3.13-slim`` image is about 150MB — small enough for fast
deploys but includes everything you need. For even smaller images, you
can use ``python:3.13-alpine``, though some packages may need extra
build dependencies.
deploys but includes everything you need. Using ``uv`` for installs
is significantly faster than pip. For even smaller images, you can use
``python:3.13-alpine``, though some packages may need extra build
dependencies.
Cloud Platforms
@@ -67,6 +69,27 @@ The pattern is always the same: deploy your code, set the start command
to ``python api.py``, and the platform handles the rest.
Health Check Endpoint
---------------------
Every production deployment needs a health check — a lightweight endpoint
that monitoring tools, load balancers, and orchestrators can poll to verify
your service is running::
@api.route("/health")
def health(req, resp):
resp.media = {"status": "healthy"}
Keep it simple. Don't query the database or do expensive work — the health
check should return instantly. Cloud platforms, Docker, and Kubernetes all
look for an HTTP 200 to confirm your service is alive.
For Docker, add a ``HEALTHCHECK`` instruction::
HEALTHCHECK --interval=30s --timeout=3s \
CMD curl -f http://localhost/health || exit 1
Uvicorn Directly
----------------
@@ -82,6 +105,45 @@ Uvicorn supports many options — SSL certificates, access logging, graceful
shutdown timeouts, and more. See the
`uvicorn documentation <https://www.uvicorn.org/deployment/>`_ for details.
For platforms like Heroku or Railway that use a ``Procfile``::
web: uvicorn api:api --host 0.0.0.0 --port $PORT --workers 4
Docker Compose
--------------
For local development with databases and other services, Docker Compose
ties everything together::
# docker-compose.yml
services:
api:
build: .
ports:
- "5042:80"
environment:
- PORT=80
- DATABASE_URL=postgresql+asyncpg://user:pass@db/myapp
- SECRET_KEY=dev-secret
depends_on:
- db
db:
image: docker.io/postgres:16-alpine
environment:
POSTGRES_USER: user
POSTGRES_PASSWORD: pass
POSTGRES_DB: myapp
volumes:
- pgdata:/var/lib/postgresql/data
volumes:
pgdata:
Run with ``docker compose up``. The API waits for ``db`` to start, then
connects using the ``DATABASE_URL`` environment variable.
Reverse Proxy
-------------
@@ -95,9 +157,31 @@ front of your application for:
- **Static asset serving** — offload static files to the proxy
- **Rate limiting** — at the infrastructure level
A minimal Caddy config that handles HTTPS automatically::
# Caddyfile
example.com {
reverse_proxy localhost:5042
}
Responder's ``TrustedHostMiddleware`` and ``HTTPSRedirectMiddleware`` work
correctly behind proxies that set standard forwarding headers
(``X-Forwarded-For``, ``X-Forwarded-Proto``).
That said, uvicorn is production-ready on its own. Many applications run
uvicorn directly without a reverse proxy and do just fine.
Production Checklist
--------------------
Before going live:
- **Set a secret key**``SECRET_KEY`` env var, never the default
- **Disable debug mode**``DEBUG=false`` or omit it entirely
- **Set allowed hosts** — restrict to your actual domain names
- **Use multiple workers**``--workers 4`` or more, depending on CPU cores
- **Add a health check**``/health`` endpoint for monitoring
- **Enable HTTPS** — via your proxy, cloud platform, or uvicorn's ``--ssl-*`` flags
- **Set up logging** — uvicorn logs requests by default; pipe them to your log aggregator
- **Pin your dependencies** — use a lock file or pinned requirements for reproducible deploys
+6 -2
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@@ -59,21 +59,25 @@ What You Get
One ``pip install``, batteries included:
- Pydantic request validation and response serialization.
- Mount Flask, Django, or any WSGI/ASGI app at a subroute.
- Gzip compression, HSTS, CORS, and trusted host validation.
- Before-request hooks that can short-circuit for auth guards.
- Before-request and after-request hooks for auth and logging.
- A test client for fast, in-process testing with pytest.
- Route parameters with f-string syntax and type convertors.
- Lifespan context managers for startup and shutdown logic.
- Custom exception handlers for clean error responses.
- `GraphQL`_ with Graphene and a built-in GraphiQL IDE.
- Server-Sent Events for real-time streaming.
- File serving with automatic content-type detection.
- Sync and async views — ``async`` is always optional.
- Class-based views with ``on_get``, ``on_post``, ``on_request``.
- Built-in rate limiting with ``X-RateLimit`` headers.
- Content negotiation: JSON, YAML, and MessagePack.
- A pleasant API with a single import statement.
- OpenAPI schema generation with Swagger UI.
- A production `uvicorn`_ server, ready to deploy.
- HTTP method filtering for REST APIs.
- Route groups for API versioning.
- Signed cookie-based sessions.
- Background tasks in a thread pool.
- WebSocket support.
+6
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@@ -376,3 +376,9 @@ jump into the tutorials:
- :doc:`tutorial-rest` — build a full CRUD API with validation
- :doc:`tutorial-sqlalchemy` — connect to a database
- :doc:`tutorial-auth` — add authentication
- :doc:`tutorial-websockets` — real-time communication
- :doc:`tutorial-middleware` — hooks and middleware
- :doc:`tutorial-flask` — migrating from Flask
- :doc:`guide-config` — environment variables and secrets
- :doc:`deployment` — Docker, cloud platforms, and production
- :doc:`testing` — writing tests with pytest
+43 -17
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@@ -2,35 +2,61 @@
# Development Sandbox
## Setup
Set up a development sandbox.
Acquire sources and create virtualenv.
Clone the repo and install all dependencies:
```shell
git clone https://github.com/kennethreitz/responder.git
cd responder
uv venv
```
Install project in editable mode, including
all development tools.
```shell
uv venv && source .venv/bin/activate
uv pip install --upgrade --editable '.[develop,docs,release,test]'
```
## Operations
Run tests.
## Running Tests
```shell
source .venv/bin/activate
pytest
pytest # full suite with coverage
pytest tests/test_responder.py -xvs # single file, stop on first failure
pytest -k "test_mount" # run tests matching a pattern
```
Format code.
## Code Formatting
```shell
ruff format .
ruff check --fix .
ruff format . # auto-format
ruff check --fix . # lint and auto-fix
```
Documentation authoring.
## Type Checking
```shell
sphinx-autobuild --open-browser --watch docs/source docs/source docs/build
mypy
```
## Documentation
Live-reloading doc server (opens in browser):
```shell
cd docs
sphinx-autobuild --open-browser --watch source source build
```
Or build once:
```shell
cd docs
make html
# open build/html/index.html
```
## Project Layout
```
responder/
├── responder/ # main package
│ ├── api.py # API class — the entry point
│ ├── routes.py # Router, Route, WebSocketRoute
│ ├── models.py # Request and Response wrappers
│ ├── ext/ # extensions (CLI, GraphQL, OpenAPI, rate limiting)
│ ├── background.py # background task queue
│ └── formats.py # content negotiation (JSON, YAML, msgpack)
├── tests/ # pytest test suite
├── examples/ # runnable example apps
├── docs/source/ # Sphinx documentation
└── pyproject.toml # project metadata and tool config
```
+54
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@@ -269,6 +269,57 @@ just like in production. You can verify their effects on the response::
assert r.headers["X-Served-By"] == "responder"
Testing Rate Limiting
---------------------
Rate limiters are just hooks — they run automatically during tests.
Verify the headers and the 429 response::
from responder.ext.ratelimit import RateLimiter
def test_rate_limiting():
api = responder.API(allowed_hosts=["localhost"])
limiter = RateLimiter(requests=2, period=60)
limiter.install(api)
@api.route("/")
def view(req, resp):
resp.text = "ok"
# First two requests succeed
for _ in range(2):
r = api.requests.get("http://localhost/")
assert r.status_code == 200
assert "X-RateLimit-Remaining" in r.headers
# Third request is rate limited
r = api.requests.get("http://localhost/")
assert r.status_code == 429
Testing Mounted Apps
--------------------
When testing WSGI apps mounted at a subroute, use ``localhost`` as the
host to avoid Werkzeug's trusted host validation::
from flask import Flask
def test_flask_mount():
api = responder.API(allowed_hosts=["localhost"])
flask_app = Flask(__name__)
@flask_app.route("/")
def hello():
return "Hello from Flask!"
api.mount("/flask", flask_app)
r = api.requests.get("http://localhost/flask")
assert r.status_code == 200
assert "Hello from Flask" in r.text
Tips
----
@@ -284,3 +335,6 @@ Tips
- **Test the contract, not the implementation.** Assert on status codes,
response bodies, and headers — not on internal state.
- **Use ``localhost`` for mounted WSGI apps.** Werkzeug 3.1.7+ validates
the ``Host`` header, so avoid synthetic hosts like ``;`` in tests.
+73 -2
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@@ -596,6 +596,73 @@ can pace themselves.
The rate limiter is per-client, keyed by IP address.
Pydantic Validation
-------------------
`Pydantic <https://docs.pydantic.dev/>`_ models integrate directly with
Responder's routing. Set ``request_model`` to validate incoming data and
``response_model`` to control the shape of outgoing data::
from pydantic import BaseModel
class ItemIn(BaseModel):
name: str
price: float
class ItemOut(BaseModel):
id: int
name: str
price: float
@api.route("/items", methods=["POST"],
request_model=ItemIn, response_model=ItemOut)
async def create_item(req, resp):
data = await req.media()
resp.media = {"id": 1, **data}
When ``request_model`` is set:
- Valid requests are parsed and the data is available via ``await req.media()``
- Invalid requests get an automatic ``422 Unprocessable Entity`` response
with detailed error messages — you don't write any validation code
When ``response_model`` is set:
- The response is serialized through the model before being sent
- Extra fields are stripped automatically
- Type coercion happens at the boundary
This is the recommended way to build validated REST APIs with Responder.
See the :doc:`tutorial-rest` for a complete walkthrough.
Content Negotiation
-------------------
Responder automatically negotiates the response format based on the
client's ``Accept`` header. Set ``resp.media`` to a Python object and
the right thing happens:
- ``Accept: application/json`` (default) → JSON
- ``Accept: application/x-yaml`` → YAML
- ``Accept: application/x-msgpack`` → MessagePack
This means a single endpoint serves multiple formats without any
conditional logic in your code::
@api.route("/data")
def data(req, resp):
resp.media = {"key": "value"}
Clients get the format they ask for::
$ curl http://localhost:5042/data
{"key": "value"}
$ curl -H "Accept: application/x-yaml" http://localhost:5042/data
key: value
MessagePack
-----------
@@ -608,6 +675,10 @@ Responder supports MessagePack alongside JSON and YAML::
# Decode a MessagePack request body
data = await req.media("msgpack")
Content negotiation works too — clients can send
# Respond with MessagePack
resp.media = {"result": [1, 2, 3]}
Content negotiation works automatically — clients can send
``Accept: application/x-msgpack`` to receive MessagePack responses
instead of JSON.
instead of JSON. You can also explicitly decode MessagePack request
bodies by passing ``"msgpack"`` to ``req.media()``.
+55 -2
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@@ -46,14 +46,14 @@ Install PyJWT::
Create a helper to encode and decode tokens::
import jwt
from datetime import datetime, timedelta
from datetime import datetime, timedelta, timezone
SECRET = "your-secret-key"
def create_token(user_id: int) -> str:
payload = {
"sub": user_id,
"exp": datetime.utcnow() + timedelta(hours=24),
"exp": datetime.now(timezone.utc) + timedelta(hours=24),
}
return jwt.encode(payload, SECRET, algorithm="HS256")
@@ -189,3 +189,56 @@ Remember to set a proper secret key::
The session data is signed (not encrypted) — users can read it but
can't tamper with it. Don't store sensitive data like passwords in
sessions.
Role-Based Access Control
--------------------------
For APIs where different users have different permissions, embed the
role in the token and check it in route-specific guards::
def create_token(user_id: int, role: str = "user") -> str:
payload = {
"sub": user_id,
"role": role,
"exp": datetime.now(timezone.utc) + timedelta(hours=24),
}
return jwt.encode(payload, SECRET, algorithm="HS256")
Create a helper that checks for a specific role::
def require_role(*roles):
"""Before-request hook factory that restricts by role."""
def check(req, resp):
user_role = getattr(req.state, "role", None)
if user_role not in roles:
resp.status_code = 403
resp.media = {"error": "Insufficient permissions"}
return check
Use it on specific routes::
@api.route("/admin/users", before_request=require_role("admin"))
def list_all_users(req, resp):
resp.media = {"users": [...]}
And store the role during token verification::
# In your auth_guard:
req.state.user_id = payload["sub"]
req.state.role = payload.get("role", "user")
Choosing an Auth Strategy
--------------------------
- **API keys** — simplest. Good for server-to-server, CLI tools, and
internal services. No expiration unless you build it.
- **JWT tokens** — standard for SPAs and mobile apps. Stateless, so
they scale well. Downside: you can't revoke them without a blocklist.
- **Sessions** — best for traditional web apps with HTML forms. The
browser manages cookies automatically. Stateful — the server controls
the session lifecycle.
Start with API keys for internal tools, JWT for public APIs, and
sessions for web apps with login pages.
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@@ -117,6 +117,47 @@ the existing stack. Keep this in mind for ordering dependencies — if
middleware A depends on middleware B having run first, add B before A.
Writing Pure ASGI Middleware
----------------------------
For maximum performance and control, you can write middleware as a plain
ASGI application. This bypasses Starlette's ``BaseHTTPMiddleware``
abstraction — it's faster and gives you direct access to the ASGI
protocol::
class SecurityHeadersMiddleware:
def __init__(self, app):
self.app = app
async def __call__(self, scope, receive, send):
if scope["type"] != "http":
await self.app(scope, receive, send)
return
async def send_with_headers(message):
if message["type"] == "http.response.start":
extra = [
(b"x-content-type-options", b"nosniff"),
(b"x-frame-options", b"DENY"),
(b"referrer-policy", b"strict-origin-when-cross-origin"),
]
message["headers"] = list(message["headers"]) + extra
await send(message)
await self.app(scope, receive, send_with_headers)
api.add_middleware(SecurityHeadersMiddleware)
This is the same pattern used internally by Starlette and uvicorn. The
middleware receives the ASGI ``scope``, ``receive``, and ``send`` callables,
and wraps ``send`` to inject headers into the response.
For most cases, ``BaseHTTPMiddleware`` is simpler and perfectly fine.
Use the pure ASGI approach when you need to handle WebSocket connections,
streaming responses, or want to avoid the overhead of request/response
object creation.
When to Use What
-----------------
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@@ -28,8 +28,8 @@ SQLAlchemy models map Python classes to database tables. Each attribute
becomes a column::
# models.py
from sqlalchemy import Column, Integer, String
from sqlalchemy.orm import DeclarativeBase
from sqlalchemy import String
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
class Base(DeclarativeBase):
pass
@@ -37,15 +37,16 @@ becomes a column::
class Book(Base):
__tablename__ = "books"
id = Column(Integer, primary_key=True, autoincrement=True)
title = Column(String, nullable=False)
author = Column(String, nullable=False)
year = Column(Integer, nullable=False)
isbn = Column(String, nullable=True)
id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True)
title: Mapped[str] = mapped_column(String, nullable=False)
author: Mapped[str] = mapped_column(String, nullable=False)
year: Mapped[int] = mapped_column(nullable=False)
isbn: Mapped[str | None] = mapped_column(String, nullable=True)
``DeclarativeBase`` is SQLAlchemy's modern base class (SQLAlchemy 2.0+).
Each model class corresponds to a table, and each ``Column`` corresponds
to a column in that table.
This uses SQLAlchemy 2.0's ``Mapped`` type annotations and
``mapped_column()``, which give you type checker support and cleaner
syntax than the older ``Column()`` style. Each model class corresponds
to a table, and each ``mapped_column()`` corresponds to a column.
Database Setup
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@@ -58,6 +58,8 @@ A chat room needs to broadcast messages to all connected clients. We keep
a set of active connections and iterate through them when someone sends
a message::
from starlette.websockets import WebSocketDisconnect
connected = set()
@api.route("/chat", websocket=True)
@@ -70,13 +72,15 @@ a message::
# Broadcast to all connected clients
for client in connected:
await client.send_text(message)
except Exception:
except WebSocketDisconnect:
pass
finally:
connected.discard(ws)
The ``try/finally`` block ensures we remove disconnected clients from
the set, even if the connection drops unexpectedly.
the set, even if the connection drops unexpectedly. Catching
``WebSocketDisconnect`` specifically (rather than bare ``Exception``)
makes the intent clear and avoids swallowing real bugs.
Data Formats
@@ -154,6 +158,40 @@ WebSocket before-request hooks receive the ``ws`` object and must call
``await ws.accept()`` if they want the connection to proceed.
Connection Lifecycle
--------------------
WebSocket connections go through several states:
1. **Connecting** — the client sends an upgrade request
2. **Open** — after ``await ws.accept()``, both sides can send messages
3. **Closing** — either side initiates a close handshake
4. **Closed** — the connection is fully terminated
When a client disconnects (closes the tab, loses network), the next
``await ws.receive_text()`` raises ``WebSocketDisconnect``. Always
handle this — otherwise your server accumulates dead connections::
from starlette.websockets import WebSocketDisconnect
@api.route("/ws", websocket=True)
async def handler(ws):
await ws.accept()
try:
while True:
data = await ws.receive_text()
await ws.send_text(f"Got: {data}")
except WebSocketDisconnect:
print("Client disconnected")
You can also close connections from the server side::
await ws.close(code=1000) # 1000 = normal closure
Common close codes: ``1000`` (normal), ``1001`` (going away),
``1008`` (policy violation), ``1011`` (server error).
Testing WebSockets
------------------
@@ -169,3 +207,13 @@ Use Starlette's ``TestClient`` for WebSocket tests::
The ``websocket_connect`` context manager handles the connection
lifecycle — it connects on enter and disconnects on exit.
You can also test that connections are properly rejected::
from starlette.websockets import WebSocketDisconnect
def test_websocket_404():
client = TestClient(api)
with pytest.raises(WebSocketDisconnect):
with client.websocket_connect("/nonexistent"):
pass
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