Merge branch 'master' into async_sql_databases_docs_py310

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Sebastián Ramírez 2022-12-16 23:20:06 +04:00 committed by GitHub
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@ -1,5 +0,0 @@
[flake8]
max-line-length = 88
select = C,E,F,W,B,B9
ignore = E203, E501, W503
exclude = __init__.py

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@ -18,3 +18,4 @@ uz: 4883
sv: 5146
he: 5157
ta: 5434
ar: 3349

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@ -433,7 +433,7 @@ if __name__ == "__main__":
)
authors = {**issue_authors, **pr_authors}
maintainers_logins = {"tiangolo"}
bot_names = {"codecov", "github-actions"}
bot_names = {"codecov", "github-actions", "pre-commit-ci", "dependabot"}
maintainers = []
for login in maintainers_logins:
user = authors[login]

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@ -36,9 +36,9 @@ jobs:
- uses: actions/upload-artifact@v3
with:
name: docs-zip
path: ./docs.zip
path: ./site/docs.zip
- name: Deploy to Netlify
uses: nwtgck/actions-netlify@v1.2.4
uses: nwtgck/actions-netlify@v2.0.0
with:
publish-dir: './site'
production-branch: master

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@ -11,21 +11,26 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Clean site
run: |
rm -rf ./site
mkdir ./site
- name: Download Artifact Docs
uses: dawidd6/action-download-artifact@v2.24.0
uses: dawidd6/action-download-artifact@v2.24.2
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
workflow: build-docs.yml
run_id: ${{ github.event.workflow_run.id }}
name: docs-zip
path: ./site/
- name: Unzip docs
run: |
rm -rf ./site
cd ./site
unzip docs.zip
rm -f docs.zip
- name: Deploy to Netlify
id: netlify
uses: nwtgck/actions-netlify@v1.2.4
uses: nwtgck/actions-netlify@v2.0.0
with:
publish-dir: './site'
production-deploy: false

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@ -18,6 +18,8 @@ jobs:
uses: actions/setup-python@v4
with:
python-version: "3.7"
cache: "pip"
cache-dependency-path: pyproject.toml
- uses: actions/cache@v3
id: cache
with:
@ -29,7 +31,7 @@ jobs:
- name: Build distribution
run: python -m build
- name: Publish
uses: pypa/gh-action-pypi-publish@v1.5.1
uses: pypa/gh-action-pypi-publish@v1.5.2
with:
password: ${{ secrets.PYPI_API_TOKEN }}
- name: Dump GitHub context

35
.github/workflows/smokeshow.yml vendored Normal file
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@ -0,0 +1,35 @@
name: Smokeshow
on:
workflow_run:
workflows: [Test]
types: [completed]
permissions:
statuses: write
jobs:
smokeshow:
if: ${{ github.event.workflow_run.conclusion == 'success' }}
runs-on: ubuntu-latest
steps:
- uses: actions/setup-python@v4
with:
python-version: '3.9'
- run: pip install smokeshow
- uses: dawidd6/action-download-artifact@v2.24.2
with:
workflow: test.yml
commit: ${{ github.event.workflow_run.head_sha }}
- run: smokeshow upload coverage-html
env:
SMOKESHOW_GITHUB_STATUS_DESCRIPTION: Coverage {coverage-percentage}
SMOKESHOW_GITHUB_COVERAGE_THRESHOLD: 100
SMOKESHOW_GITHUB_CONTEXT: coverage
SMOKESHOW_GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
SMOKESHOW_GITHUB_PR_HEAD_SHA: ${{ github.event.workflow_run.head_sha }}
SMOKESHOW_AUTH_KEY: ${{ secrets.SMOKESHOW_AUTH_KEY }}

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@ -12,7 +12,7 @@ jobs:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.7", "3.8", "3.9", "3.10"]
python-version: ["3.7", "3.8", "3.9", "3.10", "3.11"]
fail-fast: false
steps:
@ -21,17 +21,57 @@ jobs:
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
cache: "pip"
cache-dependency-path: pyproject.toml
- uses: actions/cache@v3
id: cache
with:
path: ${{ env.pythonLocation }}
key: ${{ runner.os }}-python-${{ env.pythonLocation }}-${{ hashFiles('pyproject.toml') }}-test-v02
key: ${{ runner.os }}-python-${{ env.pythonLocation }}-${{ hashFiles('pyproject.toml') }}-test-v03
- name: Install Dependencies
if: steps.cache.outputs.cache-hit != 'true'
run: pip install -e .[all,dev,doc,test]
- name: Lint
run: bash scripts/lint.sh
- run: mkdir coverage
- name: Test
run: bash scripts/test.sh
- name: Upload coverage
uses: codecov/codecov-action@v3
env:
COVERAGE_FILE: coverage/.coverage.${{ runner.os }}-py${{ matrix.python-version }}
CONTEXT: ${{ runner.os }}-py${{ matrix.python-version }}
- name: Store coverage files
uses: actions/upload-artifact@v3
with:
name: coverage
path: coverage
coverage-combine:
needs: [test]
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
with:
python-version: '3.8'
cache: "pip"
cache-dependency-path: pyproject.toml
- name: Get coverage files
uses: actions/download-artifact@v3
with:
name: coverage
path: coverage
- run: pip install coverage[toml]
- run: ls -la coverage
- run: coverage combine coverage
- run: coverage report
- run: coverage html --show-contexts --title "Coverage for ${{ github.sha }}"
- name: Store coverage HTML
uses: actions/upload-artifact@v3
with:
name: coverage-html
path: htmlcov

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@ -12,25 +12,18 @@ repos:
- id: end-of-file-fixer
- id: trailing-whitespace
- repo: https://github.com/asottile/pyupgrade
rev: v3.1.0
rev: v3.2.2
hooks:
- id: pyupgrade
args:
- --py3-plus
- --keep-runtime-typing
- repo: https://github.com/PyCQA/autoflake
rev: v1.7.7
- repo: https://github.com/charliermarsh/ruff-pre-commit
rev: v0.0.138
hooks:
- id: autoflake
- id: ruff
args:
- --recursive
- --in-place
- --remove-all-unused-imports
- --remove-unused-variables
- --expand-star-imports
- --exclude
- __init__.py
- --remove-duplicate-keys
- --fix
- repo: https://github.com/pycqa/isort
rev: 5.10.1
hooks:

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@ -8,8 +8,8 @@
<a href="https://github.com/tiangolo/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">
<img src="https://github.com/tiangolo/fastapi/workflows/Test/badge.svg?event=push&branch=master" alt="Test">
</a>
<a href="https://codecov.io/gh/tiangolo/fastapi" target="_blank">
<img src="https://img.shields.io/codecov/c/github/tiangolo/fastapi?color=%2334D058" alt="Coverage">
<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/tiangolo/fastapi" target="_blank">
<img src="https://coverage-badge.samuelcolvin.workers.dev/tiangolo/fastapi.svg" alt="Coverage">
</a>
<a href="https://pypi.org/project/fastapi" target="_blank">
<img src="https://img.shields.io/pypi/v/fastapi?color=%2334D058&label=pypi%20package" alt="Package version">
@ -427,7 +427,7 @@ For a more complete example including more features, see the <a href="https://fa
* **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries.
* Many extra features (thanks to Starlette) as:
* **WebSockets**
* extremely easy tests based on `requests` and `pytest`
* extremely easy tests based on HTTPX and `pytest`
* **CORS**
* **Cookie Sessions**
* ...and more.
@ -447,7 +447,7 @@ Used by Pydantic:
Used by Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - Required if you want to use the `TestClient`.
* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Required if you want to use the `TestClient`.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Required if you want to use the default template configuration.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Required if you want to support form <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>, with `request.form()`.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - Required for `SessionMiddleware` support.

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@ -446,7 +446,7 @@ Used by Pydantic:
Used by Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - Required if you want to use the `TestClient`.
* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Required if you want to use the `TestClient`.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Required if you want to use the default template configuration.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Required if you want to support form <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>, with `request.form()`.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - Required for `SessionMiddleware` support.

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@ -169,7 +169,7 @@ Mit **FastAPI** bekommen Sie viele von **Starlette**'s Funktionen (da FastAPI nu
* **WebSocket**-Unterstützung.
* Hintergrundaufgaben im selben Prozess.
* Ereignisse für das Starten und Herunterfahren.
* Testclient basierend auf `requests`.
* Testclient basierend auf HTTPX.
* **CORS**, GZip, statische Dateien, Antwortfluss.
* **Sitzungs und Cookie** Unterstützung.
* 100% Testabdeckung.

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@ -445,7 +445,7 @@ Used by Pydantic:
Used by Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - Required if you want to use the `TestClient`.
* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Required if you want to use the `TestClient`.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Required if you want to use the default template configuration.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Required if you want to support form <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>, with `request.form()`.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - Required for `SessionMiddleware` support.

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avatarUrl: https://avatars.githubusercontent.com/u/44925437?u=61369138589bc7fee6c417f3fbd50fbd38286cc4&v=4
url: https://github.com/cryptapi
- - login: ObliviousAI
- login: jrobbins-LiveData
avatarUrl: https://avatars.githubusercontent.com/u/79278744?u=bae8175fc3f09db281aca1f97a9ddc1a914a8c4f&v=4
url: https://github.com/jrobbins-LiveData
- - login: nihpo
avatarUrl: https://avatars.githubusercontent.com/u/1841030?u=0264956d7580f7e46687a762a7baa629f84cf97c&v=4
url: https://github.com/nihpo
- login: ObliviousAI
avatarUrl: https://avatars.githubusercontent.com/u/65656077?v=4
url: https://github.com/ObliviousAI
- login: Lovage-Labs
avatarUrl: https://avatars.githubusercontent.com/u/71685552?v=4
url: https://github.com/Lovage-Labs
- login: chaserowbotham
avatarUrl: https://avatars.githubusercontent.com/u/97751084?v=4
url: https://github.com/chaserowbotham
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avatarUrl: https://avatars.githubusercontent.com/u/103889729?v=4
url: https://github.com/VincentParedes
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avatarUrl: https://avatars.githubusercontent.com/u/34240465?v=4
url: https://github.com/mercedes-benz
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url: https://github.com/johnadjei
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url: https://github.com/Trivie
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avatarUrl: https://avatars.githubusercontent.com/u/11562137?u=dc01daafb354135603a263729e3d26d939c0c452&v=4
url: https://github.com/wdwinslow
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url: https://github.com/Lovage-Labs
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url: https://github.com/moellenbeck
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url: https://github.com/AccentDesign
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url: https://github.com/DelfinaCare
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avatarUrl: https://avatars.githubusercontent.com/u/62146168?v=4
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avatarUrl: https://avatars.githubusercontent.com/u/2905043?v=4
url: https://github.com/indeedeng
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url: https://github.com/A-Edge
- - login: Kludex
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@ -161,8 +182,11 @@ sponsors:
- login: Shark009
avatarUrl: https://avatars.githubusercontent.com/u/3163309?u=0c6f4091b0eda05c44c390466199826e6dc6e431&v=4
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@ -1,6 +1,6 @@
# Async Tests
You have already seen how to test your **FastAPI** applications using the provided `TestClient`, but with it, you can't test or run any other `async` function in your (synchronous) pytest functions.
You have already seen how to test your **FastAPI** applications using the provided `TestClient`. Up to now, you have only seen how to write synchronous tests, without using `async` functions.
Being able to use asynchronous functions in your tests could be useful, for example, when you're querying your database asynchronously. Imagine you want to test sending requests to your FastAPI application and then verify that your backend successfully wrote the correct data in the database, while using an async database library.
@ -8,7 +8,7 @@ Let's look at how we can make that work.
## pytest.mark.anyio
If we want to call asynchronous functions in our tests, our test functions have to be asynchronous. Anyio provides a neat plugin for this, that allows us to specify that some test functions are to be called asynchronously.
If we want to call asynchronous functions in our tests, our test functions have to be asynchronous. AnyIO provides a neat plugin for this, that allows us to specify that some test functions are to be called asynchronously.
## HTTPX
@ -16,13 +16,7 @@ Even if your **FastAPI** application uses normal `def` functions instead of `asy
The `TestClient` does some magic inside to call the asynchronous FastAPI application in your normal `def` test functions, using standard pytest. But that magic doesn't work anymore when we're using it inside asynchronous functions. By running our tests asynchronously, we can no longer use the `TestClient` inside our test functions.
Luckily there's a nice alternative, called <a href="https://www.python-httpx.org/" class="external-link" target="_blank">HTTPX</a>.
HTTPX is an HTTP client for Python 3 that allows us to query our FastAPI application similarly to how we did it with the `TestClient`.
If you're familiar with the <a href="https://requests.readthedocs.io/en/master/" class="external-link" target="_blank">Requests</a> library, you'll find that the API of HTTPX is almost identical.
The important difference for us is that with HTTPX we are not limited to synchronous, but can also make asynchronous requests.
The `TestClient` is based on <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a>, and luckily, we can use it directly to test the API.
## Example
@ -85,7 +79,7 @@ This is the equivalent to:
response = client.get('/')
```
that we used to make our requests with the `TestClient`.
...that we used to make our requests with the `TestClient`.
!!! tip
Note that we're using async/await with the new `AsyncClient` - the request is asynchronous.

View File

@ -68,7 +68,7 @@ Enforces that all incoming requests have a correctly set `Host` header, in order
The following arguments are supported:
* `allowed_hosts` - A list of domain names that should be allowed as hostnames. Wildcard domains such as `*.example.com` are supported for matching subdomains to allow any hostname either use `allowed_hosts=["*"]` or omit the middleware.
* `allowed_hosts` - A list of domain names that should be allowed as hostnames. Wildcard domains such as `*.example.com` are supported for matching subdomains. To allow any hostname either use `allowed_hosts=["*"]` or omit the middleware.
If an incoming request does not validate correctly then a `400` response will be sent.

View File

@ -50,7 +50,7 @@ It could be just one or two lines of code, like:
```Python
callback_url = "https://example.com/api/v1/invoices/events/"
requests.post(callback_url, json={"description": "Invoice paid", "paid": True})
httpx.post(callback_url, json={"description": "Invoice paid", "paid": True})
```
But possibly the most important part of the callback is making sure that your API user (the external developer) implements the *external API* correctly, according to the data that *your API* is going to send in the request body of the callback, etc.
@ -64,7 +64,7 @@ This example doesn't implement the callback itself (that could be just a line of
!!! tip
The actual callback is just an HTTP request.
When implementing the callback yourself, you could use something like <a href="https://www.encode.io/httpx/" class="external-link" target="_blank">HTTPX</a> or <a href="https://requests.readthedocs.io/" class="external-link" target="_blank">Requests</a>.
When implementing the callback yourself, you could use something like <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a> or <a href="https://requests.readthedocs.io/" class="external-link" target="_blank">Requests</a>.
## Write the callback documentation code

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@ -112,17 +112,15 @@ In WebSocket endpoints you can import from `fastapi` and use:
They work the same way as for other FastAPI endpoints/*path operations*:
```Python hl_lines="58-65 68-83"
```Python hl_lines="66-77 76-91"
{!../../../docs_src/websockets/tutorial002.py!}
```
!!! info
In a WebSocket it doesn't really make sense to raise an `HTTPException`. So it's better to close the WebSocket connection directly.
As this is a WebSocket it doesn't really make sense to raise an `HTTPException`, instead we raise a `WebSocketException`.
You can use a closing code from the <a href="https://tools.ietf.org/html/rfc6455#section-7.4.1" class="external-link" target="_blank">valid codes defined in the specification</a>.
In the future, there will be a `WebSocketException` that you will be able to `raise` from anywhere, and add exception handlers for it. It depends on the <a href="https://github.com/encode/starlette/pull/527" class="external-link" target="_blank">PR #527</a> in Starlette.
### Try the WebSockets with dependencies
If your file is named `main.py`, run your application with:

View File

@ -367,7 +367,7 @@ It has:
* WebSocket support.
* In-process background tasks.
* Startup and shutdown events.
* Test client built on requests.
* Test client built on HTTPX.
* CORS, GZip, Static Files, Streaming responses.
* Session and Cookie support.
* 100% test coverage.

View File

@ -166,7 +166,7 @@ With **FastAPI** you get all of **Starlette**'s features (as FastAPI is just Sta
* **WebSocket** support.
* In-process background tasks.
* Startup and shutdown events.
* Test client built on `requests`.
* Test client built on HTTPX.
* **CORS**, GZip, Static Files, Streaming responses.
* **Session and Cookie** support.
* 100% test coverage.

View File

@ -47,7 +47,7 @@ You can:
* <a href="https://github.com/tiangolo" class="external-link" target="_blank">Follow me on **GitHub**</a>.
* See other Open Source projects I have created that could help you.
* Follow me to see when I create a new Open Source project.
* <a href="https://twitter.com/tiangolo" class="external-link" target="_blank">Follow me on **Twitter**</a>.
* <a href="https://twitter.com/tiangolo" class="external-link" target="_blank">Follow me on **Twitter**</a> or <a href="https://fosstodon.org/@tiangolo" class="external-link" target="_blank">Mastodon</a>.
* Tell me how you use FastAPI (I love to hear that).
* Hear when I make announcements or release new tools.
* You can also <a href="https://twitter.com/fastapi" class="external-link" target="_blank">follow @fastapi on Twitter</a> (a separate account).
@ -67,13 +67,54 @@ I love to hear about how **FastAPI** is being used, what you have liked in it, i
* <a href="https://www.slant.co/options/34241/~fastapi-review" class="external-link" target="_blank">Vote for **FastAPI** in Slant</a>.
* <a href="https://alternativeto.net/software/fastapi/" class="external-link" target="_blank">Vote for **FastAPI** in AlternativeTo</a>.
* <a href="https://stackshare.io/pypi-fastapi" class="external-link" target="_blank">Say you use **FastAPI** on StackShare</a>.
## Help others with issues in GitHub
You can see <a href="https://github.com/tiangolo/fastapi/issues" class="external-link" target="_blank">existing issues</a> and try and help others, most of the times they are questions that you might already know the answer for. 🤓
You can see <a href="https://github.com/tiangolo/fastapi/issues" class="external-link" target="_blank">existing issues</a> and try and help others, most of the times those issues are questions that you might already know the answer for. 🤓
If you are helping a lot of people with issues, you might become an official [FastAPI Expert](fastapi-people.md#experts){.internal-link target=_blank}. 🎉
Just remember, the most important point is: try to be kind. People come with their frustrations and in many cases don't ask in the best way, but try as best as you can to be kind. 🤗
The idea is for the **FastAPI** community to be kind and welcoming. At the same time, don't accept bullying or disrespectful behavior towards others. We have to take care of each other.
---
Here's how to help others with issues:
### Understand the question
* Check if you can understand what is the **purpose** and use case of the person asking.
* Then check if the question (the vast majority are questions) is **clear**.
* In many cases the question asked is about an imaginary solution from the user, but there might be a **better** one. If you can understand the problem and use case better, you might be able to suggest a better **alternative solution**.
* If you can't understand the question, ask for more **details**.
### Reproduce the problem
For most of the cases and most of the questions there's something related to the person's **original code**.
In many cases they will only copy a fragment of the code, but that's not enough to **reproduce the problem**.
* You can ask them to provide a <a href="https://stackoverflow.com/help/minimal-reproducible-example" class="external-link" target="_blank">minimal, reproducible, example</a>, that you can **copy-paste** and run locally to see the same error or behavior they are seeing, or to understand their use case better.
* If you are feeling too generous, you can try to **create an example** like that yourself, just based on the description of the problem. Just have in mind that this might take a lot of time and it might be better to ask them to clarify the problem first.
### Suggest solutions
* After being able to understand the question, you can give them a possible **answer**.
* In many cases, it's better to understand their **underlying problem or use case**, because there might be a better way to solve it than what they are trying to do.
### Ask to close
If they reply, there's a high chance you would have solved their problem, congrats, **you're a hero**! 🦸
* Now you can ask them, if that solved their problem, to **close the issue**.
## Watch the GitHub repository
You can "watch" FastAPI in GitHub (clicking the "watch" button at the top right): <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">https://github.com/tiangolo/fastapi</a>. 👀
@ -91,6 +132,57 @@ You can <a href="https://github.com/tiangolo/fastapi/issues/new/choose" class="e
**Note**: if you create an issue, then I'm going to ask you to also help others. 😉
## Review Pull Requests
You can help me review pull requests from others.
Again, please try your best to be kind. 🤗
---
Here's what to have in mind and how to review a pull request:
### Understand the problem
* First, make sure you **understand the problem** that the pull request is trying to solve. It might have a longer discussion in an issue.
* There's also a good chance that the pull request is not actually needed because the problem can be solved in a **different way**. Then you can suggest or ask about that.
### Don't worry about style
* Don't worry too much about things like commit message styles, I will squash and merge customizing the commit manually.
* Also don't worry about style rules, there are already automatized tools checking that.
And if there's any other style or consistency need, I'll ask directly for that, or I'll add commits on top with the needed changes.
### Check the code
* Check and read the code, see if it makes sense, **run it locally** and see if it actually solves the problem.
* Then **comment** saying that you did that, that's how I will know you really checked it.
!!! info
Unfortunately, I can't simply trust PRs that just have several approvals.
Several times it has happened that there are PRs with 3, 5 or more approvals, probably because the description is appealing, but when I check the PRs, they are actually broken, have a bug, or don't solve the problem they claim to solve. 😅
So, it's really important that you actually read and run the code, and let me know in the comments that you did. 🤓
* If the PR can be simplified in a way, you can ask for that, but there's no need to be too picky, there might be a lot of subjective points of view (and I will have my own as well 🙈), so it's better if you can focus on the fundamental things.
### Tests
* Help me check that the PR has **tests**.
* Check that the tests **fail** before the PR. 🚨
* Then check that the tests **pass** after the PR. ✅
* Many PRs don't have tests, you can **remind** them to add tests, or you can even **suggest** some tests yourself. That's one of the things that consume most time and you can help a lot with that.
* Then also comment what you tried, that way I'll know that you checked it. 🤓
## Create a Pull Request
You can [contribute](contributing.md){.internal-link target=_blank} to the source code with Pull Requests, for example:
@ -102,7 +194,25 @@ You can [contribute](contributing.md){.internal-link target=_blank} to the sourc
* You can also help to review the translations created by others.
* To propose new documentation sections.
* To fix an existing issue/bug.
* Make sure to add tests.
* To add a new feature.
* Make sure to add tests.
* Make sure to add documentation if it's relevant.
## Help Maintain FastAPI
Help me maintain **FastAPI**! 🤓
There's a lot of work to do, and for most of it, **YOU** can do it.
The main tasks that you can do right now are:
* [Help others with issues in GitHub](#help-others-with-issues-in-github){.internal-link target=_blank} (see the section above).
* [Review Pull Requests](#review-pull-requests){.internal-link target=_blank} (see the section above).
Those two tasks are what **consume time the most**. That's the main work of maintaining FastAPI.
If you can help me with that, **you are helping me maintain FastAPI** and making sure it keeps **advancing faster and better**. 🚀
## Join the chat

View File

@ -8,8 +8,8 @@
<a href="https://github.com/tiangolo/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">
<img src="https://github.com/tiangolo/fastapi/workflows/Test/badge.svg?event=push&branch=master" alt="Test">
</a>
<a href="https://codecov.io/gh/tiangolo/fastapi" target="_blank">
<img src="https://img.shields.io/codecov/c/github/tiangolo/fastapi?color=%2334D058" alt="Coverage">
<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/tiangolo/fastapi" target="_blank">
<img src="https://coverage-badge.samuelcolvin.workers.dev/tiangolo/fastapi.svg" alt="Coverage">
</a>
<a href="https://pypi.org/project/fastapi" target="_blank">
<img src="https://img.shields.io/pypi/v/fastapi?color=%2334D058&label=pypi%20package" alt="Package version">
@ -424,7 +424,7 @@ For a more complete example including more features, see the <a href="https://fa
* **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries.
* Many extra features (thanks to Starlette) as:
* **WebSockets**
* extremely easy tests based on `requests` and `pytest`
* extremely easy tests based on HTTPX and `pytest`
* **CORS**
* **Cookie Sessions**
* ...and more.
@ -444,7 +444,7 @@ Used by Pydantic:
Used by Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - Required if you want to use the `TestClient`.
* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Required if you want to use the `TestClient`.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Required if you want to use the default template configuration.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Required if you want to support form <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>, with `request.form()`.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - Required for `SessionMiddleware` support.

View File

@ -2,6 +2,104 @@
## Latest Changes
* ⬆ Bump nwtgck/actions-netlify from 1.2.4 to 2.0.0. PR [#5757](https://github.com/tiangolo/fastapi/pull/5757) by [@dependabot[bot]](https://github.com/apps/dependabot).
* 👷 Refactor CI artifact upload/download for docs previews. PR [#5793](https://github.com/tiangolo/fastapi/pull/5793) by [@tiangolo](https://github.com/tiangolo).
* ⬆ Bump pypa/gh-action-pypi-publish from 1.5.1 to 1.5.2. PR [#5714](https://github.com/tiangolo/fastapi/pull/5714) by [@dependabot[bot]](https://github.com/apps/dependabot).
* 👥 Update FastAPI People. PR [#5722](https://github.com/tiangolo/fastapi/pull/5722) by [@github-actions[bot]](https://github.com/apps/github-actions).
* 🔧 Update sponsors, disable course bundle. PR [#5713](https://github.com/tiangolo/fastapi/pull/5713) by [@tiangolo](https://github.com/tiangolo).
* ⬆ Update typer[all] requirement from <0.7.0,>=0.6.1 to >=0.6.1,<0.8.0. PR [#5639](https://github.com/tiangolo/fastapi/pull/5639) by [@dependabot[bot]](https://github.com/apps/dependabot).
## 0.88.0
### Upgrades
* ⬆ Bump Starlette to version `0.22.0` to fix bad encoding for query parameters in new `TestClient`. PR [#5659](https://github.com/tiangolo/fastapi/pull/5659) by [@azogue](https://github.com/azogue).
### Docs
* ✏️ Fix typo in docs for `docs/en/docs/advanced/middleware.md`. PR [#5376](https://github.com/tiangolo/fastapi/pull/5376) by [@rifatrakib](https://github.com/rifatrakib).
### Translations
* 🌐 Add Portuguese translation for `docs/pt/docs/deployment/docker.md`. PR [#5663](https://github.com/tiangolo/fastapi/pull/5663) by [@ayr-ton](https://github.com/ayr-ton).
### Internal
* 👷 Tweak build-docs to improve CI performance. PR [#5699](https://github.com/tiangolo/fastapi/pull/5699) by [@tiangolo](https://github.com/tiangolo).
* ⬆ [pre-commit.ci] pre-commit autoupdate. PR [#5566](https://github.com/tiangolo/fastapi/pull/5566) by [@pre-commit-ci[bot]](https://github.com/apps/pre-commit-ci).
* ⬆️ Upgrade Ruff. PR [#5698](https://github.com/tiangolo/fastapi/pull/5698) by [@tiangolo](https://github.com/tiangolo).
* 👷 Remove pip cache for Smokeshow as it depends on a requirements.txt. PR [#5700](https://github.com/tiangolo/fastapi/pull/5700) by [@tiangolo](https://github.com/tiangolo).
* 💚 Fix pip cache for Smokeshow. PR [#5697](https://github.com/tiangolo/fastapi/pull/5697) by [@tiangolo](https://github.com/tiangolo).
* 👷 Fix and tweak CI cache handling. PR [#5696](https://github.com/tiangolo/fastapi/pull/5696) by [@tiangolo](https://github.com/tiangolo).
* 👷 Update `setup-python` action in tests to use new caching feature. PR [#5680](https://github.com/tiangolo/fastapi/pull/5680) by [@madkinsz](https://github.com/madkinsz).
* ⬆ Bump black from 22.8.0 to 22.10.0. PR [#5569](https://github.com/tiangolo/fastapi/pull/5569) by [@dependabot[bot]](https://github.com/apps/dependabot).
## 0.87.0
Highlights of this release:
* [Upgraded Starlette](https://github.com/encode/starlette/releases/tag/0.21.0)
* Now the `TestClient` is based on HTTPX instead of Requests. 🚀
* There are some possible **breaking changes** in the `TestClient` usage, but [@Kludex](https://github.com/Kludex) built [bump-testclient](https://github.com/Kludex/bump-testclient) to help you automatize migrating your tests. Make sure you are using Git and that you can undo any unnecessary changes (false positive changes, etc) before using `bump-testclient`.
* New [WebSocketException (and docs)](https://fastapi.tiangolo.com/advanced/websockets/#using-depends-and-others), re-exported from Starlette.
* Upgraded and relaxed dependencies for package extras `all` (including new Uvicorn version), when you install `"fastapi[all]"`.
* New docs about how to [**Help Maintain FastAPI**](https://fastapi.tiangolo.com/help-fastapi/#help-maintain-fastapi).
### Features
* ⬆️ Upgrade and relax dependencies for extras "all". PR [#5634](https://github.com/tiangolo/fastapi/pull/5634) by [@tiangolo](https://github.com/tiangolo).
* ✨ Re-export Starlette's `WebSocketException` and add it to docs. PR [#5629](https://github.com/tiangolo/fastapi/pull/5629) by [@tiangolo](https://github.com/tiangolo).
* 📝 Update references to Requests for tests to HTTPX, and add HTTPX to extras. PR [#5628](https://github.com/tiangolo/fastapi/pull/5628) by [@tiangolo](https://github.com/tiangolo).
* ⬆ Upgrade Starlette to `0.21.0`, including the new [`TestClient` based on HTTPX](https://github.com/encode/starlette/releases/tag/0.21.0). PR [#5471](https://github.com/tiangolo/fastapi/pull/5471) by [@pawelrubin](https://github.com/pawelrubin).
### Docs
* ✏️ Tweak Help FastAPI from PR review after merging. PR [#5633](https://github.com/tiangolo/fastapi/pull/5633) by [@tiangolo](https://github.com/tiangolo).
* ✏️ Clarify docs on CORS. PR [#5627](https://github.com/tiangolo/fastapi/pull/5627) by [@paxcodes](https://github.com/paxcodes).
* 📝 Update Help FastAPI: Help Maintain FastAPI. PR [#5632](https://github.com/tiangolo/fastapi/pull/5632) by [@tiangolo](https://github.com/tiangolo).
### Translations
* 🌐 Fix highlight lines for Japanese translation for `docs/tutorial/query-params.md`. PR [#2969](https://github.com/tiangolo/fastapi/pull/2969) by [@ftnext](https://github.com/ftnext).
* 🌐 Add French translation for `docs/fr/docs/advanced/additional-status-code.md`. PR [#5477](https://github.com/tiangolo/fastapi/pull/5477) by [@axel584](https://github.com/axel584).
* 🌐 Add Portuguese translation for `docs/pt/docs/tutorial/request-forms-and-files.md`. PR [#5579](https://github.com/tiangolo/fastapi/pull/5579) by [@batlopes](https://github.com/batlopes).
* 🌐 Add Japanese translation for `docs/ja/docs/advanced/websockets.md`. PR [#4983](https://github.com/tiangolo/fastapi/pull/4983) by [@xryuseix](https://github.com/xryuseix).
### Internal
* ✨ Use Ruff for linting. PR [#5630](https://github.com/tiangolo/fastapi/pull/5630) by [@tiangolo](https://github.com/tiangolo).
* 🛠 Add Arabic issue number to Notify Translations GitHub Action. PR [#5610](https://github.com/tiangolo/fastapi/pull/5610) by [@tiangolo](https://github.com/tiangolo).
* ⬆ Bump dawidd6/action-download-artifact from 2.24.1 to 2.24.2. PR [#5609](https://github.com/tiangolo/fastapi/pull/5609) by [@dependabot[bot]](https://github.com/apps/dependabot).
* ⬆ Bump dawidd6/action-download-artifact from 2.24.0 to 2.24.1. PR [#5603](https://github.com/tiangolo/fastapi/pull/5603) by [@dependabot[bot]](https://github.com/apps/dependabot).
* 📝 Update coverage badge to use Samuel Colvin's Smokeshow. PR [#5585](https://github.com/tiangolo/fastapi/pull/5585) by [@tiangolo](https://github.com/tiangolo).
## 0.86.0
### Features
* ⬆ Add Python 3.11 to the officially supported versions. PR [#5587](https://github.com/tiangolo/fastapi/pull/5587) by [@tiangolo](https://github.com/tiangolo).
* ✅ Enable tests for Python 3.11. PR [#4881](https://github.com/tiangolo/fastapi/pull/4881) by [@tiangolo](https://github.com/tiangolo).
### Fixes
* 🐛 Close FormData (uploaded files) after the request is done. PR [#5465](https://github.com/tiangolo/fastapi/pull/5465) by [@adriangb](https://github.com/adriangb).
### Docs
* ✏ Fix typo in `docs/en/docs/tutorial/security/oauth2-jwt.md`. PR [#5584](https://github.com/tiangolo/fastapi/pull/5584) by [@vivekashok1221](https://github.com/vivekashok1221).
### Translations
* 🌐 Update wording in Chinese translation for `docs/zh/docs/python-types.md`. PR [#5416](https://github.com/tiangolo/fastapi/pull/5416) by [@supercaizehua](https://github.com/supercaizehua).
* 🌐 Add Russian translation for `docs/ru/docs/deployment/index.md`. PR [#5336](https://github.com/tiangolo/fastapi/pull/5336) by [@Xewus](https://github.com/Xewus).
* 🌐 Update Chinese translation for `docs/tutorial/security/oauth2-jwt.md`. PR [#3846](https://github.com/tiangolo/fastapi/pull/3846) by [@jaystone776](https://github.com/jaystone776).
### Internal
* 👷 Update FastAPI People to exclude bots: pre-commit-ci, dependabot. PR [#5586](https://github.com/tiangolo/fastapi/pull/5586) by [@tiangolo](https://github.com/tiangolo).
* 🎨 Format OpenAPI JSON in `test_starlette_exception.py`. PR [#5379](https://github.com/tiangolo/fastapi/pull/5379) by [@iudeen](https://github.com/iudeen).
* 👷 Switch from Codecov to Smokeshow plus pytest-cov to pure coverage for internal tests. PR [#5583](https://github.com/tiangolo/fastapi/pull/5583) by [@tiangolo](https://github.com/tiangolo).
* 👥 Update FastAPI People. PR [#5571](https://github.com/tiangolo/fastapi/pull/5571) by [@github-actions[bot]](https://github.com/apps/github-actions).
## 0.85.2

View File

@ -57,7 +57,7 @@ The following arguments are supported:
* `allow_origins` - A list of origins that should be permitted to make cross-origin requests. E.g. `['https://example.org', 'https://www.example.org']`. You can use `['*']` to allow any origin.
* `allow_origin_regex` - A regex string to match against origins that should be permitted to make cross-origin requests. e.g. `'https://.*\.example\.org'`.
* `allow_methods` - A list of HTTP methods that should be allowed for cross-origin requests. Defaults to `['GET']`. You can use `['*']` to allow all standard methods.
* `allow_headers` - A list of HTTP request headers that should be supported for cross-origin requests. Defaults to `[]`. You can use `['*']` to allow all headers. The `Accept`, `Accept-Language`, `Content-Language` and `Content-Type` headers are always allowed for CORS requests.
* `allow_headers` - A list of HTTP request headers that should be supported for cross-origin requests. Defaults to `[]`. You can use `['*']` to allow all headers. The `Accept`, `Accept-Language`, `Content-Language` and `Content-Type` headers are always allowed for <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/CORS#simple_requests" class="external-link" rel="noopener" target="_blank">simple CORS requests</a>.
* `allow_credentials` - Indicate that cookies should be supported for cross-origin requests. Defaults to `False`. Also, `allow_origins` cannot be set to `['*']` for credentials to be allowed, origins must be specified.
* `expose_headers` - Indicate any response headers that should be made accessible to the browser. Defaults to `[]`.
* `max_age` - Sets a maximum time in seconds for browsers to cache CORS responses. Defaults to `600`.

View File

@ -257,7 +257,7 @@ Call the endpoint `/users/me/`, you will get the response as:
<img src="/img/tutorial/security/image09.png">
If you open the developer tools, you could see how the data sent and only includes the token, the password is only sent in the first request to authenticate the user and get that access token, but not afterwards:
If you open the developer tools, you could see how the data sent only includes the token, the password is only sent in the first request to authenticate the user and get that access token, but not afterwards:
<img src="/img/tutorial/security/image10.png">

View File

@ -2,16 +2,16 @@
Thanks to <a href="https://www.starlette.io/testclient/" class="external-link" target="_blank">Starlette</a>, testing **FastAPI** applications is easy and enjoyable.
It is based on <a href="https://requests.readthedocs.io" class="external-link" target="_blank">Requests</a>, so it's very familiar and intuitive.
It is based on <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a>, which in turn is designed based on Requests, so it's very familiar and intuitive.
With it, you can use <a href="https://docs.pytest.org/" class="external-link" target="_blank">pytest</a> directly with **FastAPI**.
## Using `TestClient`
!!! info
To use `TestClient`, first install <a href="https://github.com/psf/requests" class="external-link" target="_blank">`requests`</a>.
To use `TestClient`, first install <a href="https://www.python-httpx.org" class="external-link" target="_blank">`httpx`</a>.
E.g. `pip install requests`.
E.g. `pip install httpx`.
Import `TestClient`.
@ -19,7 +19,7 @@ Create a `TestClient` by passing your **FastAPI** application to it.
Create functions with a name that starts with `test_` (this is standard `pytest` conventions).
Use the `TestClient` object the same way as you do with `requests`.
Use the `TestClient` object the same way as you do with `httpx`.
Write simple `assert` statements with the standard Python expressions that you need to check (again, standard `pytest`).
@ -130,7 +130,7 @@ You could then update `test_main.py` with the extended tests:
{!> ../../../docs_src/app_testing/app_b/test_main.py!}
```
Whenever you need the client to pass information in the request and you don't know how to, you can search (Google) how to do it in `requests`.
Whenever you need the client to pass information in the request and you don't know how to, you can search (Google) how to do it in `httpx`, or even how to do it with `requests`, as HTTPX's design is based on Requests' design.
Then you just do the same in your tests.
@ -142,7 +142,7 @@ E.g.:
* To pass *headers*, use a `dict` in the `headers` parameter.
* For *cookies*, a `dict` in the `cookies` parameter.
For more information about how to pass data to the backend (using `requests` or the `TestClient`) check the <a href="https://requests.readthedocs.io" class="external-link" target="_blank">Requests documentation</a>.
For more information about how to pass data to the backend (using `httpx` or the `TestClient`) check the <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX documentation</a>.
!!! info
Note that the `TestClient` receives data that can be converted to JSON, not Pydantic models.

View File

@ -22,12 +22,6 @@
</div>
</div>
<div id="announce-right" style="position: relative;">
<div class="item">
<a title="Get three courses at 10% off their current prices! Plus, we'll be donating 10% of all profits from sales of this bundle to the FastAPI team." style="display: block; position: relative;" href="https://testdriven.io/talkpython/" target="_blank">
<span class="sponsor-badge">sponsor</span>
<img class="sponsor-image" src="/img/sponsors/fastapi-course-bundle-banner.png" />
</a>
</div>
<div class="item">
<a title="The data structure for unstructured multimodal data" style="display: block; position: relative;" href="https://bit.ly/3AcNTYL" target="_blank">
<span class="sponsor-badge">sponsor</span>
@ -40,12 +34,6 @@
<img class="sponsor-image" src="/img/sponsors/cryptapi-banner.svg" />
</a>
</div>
<!-- <div class="item">
<a title="The ultimate solution to unlimited and forever cloud storage." style="display: block; position: relative;" href="https://app.imgwhale.xyz/" target="_blank">
<span class="sponsor-badge">sponsor</span>
<img class="sponsor-image" src="/img/sponsors/imgwhale-banner.svg" />
</a>
</div> -->
<div class="item">
<a title="Help us migrate doist to FastAPI" style="display: block; position: relative;" href="https://doist.com/careers/9B437B1615-wa-senior-backend-engineer-python" target="_blank">
<span class="sponsor-badge">sponsor</span>

View File

@ -167,7 +167,7 @@ Con **FastAPI** obtienes todas las características de **Starlette** (porque Fas
* Soporte para **GraphQL**.
* <abbr title="En español: tareas que se ejecutan en el fondo, sin frenar requests, en el mismo proceso. En ingles: In-process background tasks">Tareas en background</abbr>.
* Eventos de startup y shutdown.
* Cliente de pruebas construido con `requests`.
* Cliente de pruebas construido con HTTPX.
* **CORS**, GZip, Static Files, Streaming responses.
* Soporte para **Session and Cookie**.
* Cobertura de pruebas al 100%.

View File

@ -418,7 +418,7 @@ Para un ejemplo más completo que incluye más características ve el <a href="h
* Muchas características extra (gracias a Starlette) como:
* **WebSockets**
* **GraphQL**
* pruebas extremadamente fáciles con `requests` y `pytest`
* pruebas extremadamente fáciles con HTTPX y `pytest`
* **CORS**
* **Cookie Sessions**
* ...y mucho más.
@ -438,7 +438,7 @@ Usadas por Pydantic:
Usados por Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - Requerido si quieres usar el `TestClient`.
* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Requerido si quieres usar el `TestClient`.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Requerido si quieres usar la configuración por defecto de templates.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Requerido si quieres dar soporte a <abbr title="convertir el string que viene de un HTTP request a datos de Python">"parsing"</abbr> de formularios, con `request.form()`.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - Requerido para dar soporte a `SessionMiddleware`.

View File

@ -421,7 +421,7 @@ item: Item
* قابلیت‌های اضافی دیگر (بر اساس Starlette) شامل:
* **<abbr title="WebSocket">وب‌سوکت</abbr>**
* **GraphQL**
* تست‌های خودکار آسان مبتنی بر `requests` و `pytest`
* تست‌های خودکار آسان مبتنی بر HTTPX و `pytest`
* **CORS**
* **Cookie Sessions**
* و موارد بیشمار دیگر.
@ -441,7 +441,7 @@ item: Item
استفاده شده توسط Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - در صورتی که می‌خواهید از `TestClient` استفاده کنید.
* <a href="https://www.python-httpx.org" target="_blank"><code>HTTPX</code></a> - در صورتی که می‌خواهید از `TestClient` استفاده کنید.
* <a href="https://github.com/Tinche/aiofiles" target="_blank"><code>aiofiles</code></a> - در صورتی که می‌خواهید از `FileResponse` و `StaticFiles` استفاده کنید.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - در صورتی که بخواهید از پیکربندی پیش‌فرض برای قالب‌ها استفاده کنید.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - در صورتی که بخواهید با استفاده از `request.form()` از قابلیت <abbr title="تبدیل رشته متنی موجود در درخواست HTTP به انواع داده پایتون">"تجزیه (parse)"</abbr> فرم استفاده کنید.

View File

@ -0,0 +1,240 @@
# Réponses supplémentaires dans OpenAPI
!!! Attention
Ceci concerne un sujet plutôt avancé.
Si vous débutez avec **FastAPI**, vous n'en aurez peut-être pas besoin.
Vous pouvez déclarer des réponses supplémentaires, avec des codes HTTP, des types de médias, des descriptions, etc.
Ces réponses supplémentaires seront incluses dans le schéma OpenAPI, elles apparaîtront donc également dans la documentation de l'API.
Mais pour ces réponses supplémentaires, vous devez vous assurer de renvoyer directement une `Response` comme `JSONResponse`, avec votre code HTTP et votre contenu.
## Réponse supplémentaire avec `model`
Vous pouvez ajouter à votre décorateur de *paramètre de chemin* un paramètre `responses`.
Il prend comme valeur un `dict` dont les clés sont des codes HTTP pour chaque réponse, comme `200`, et la valeur de ces clés sont d'autres `dict` avec des informations pour chacun d'eux.
Chacun de ces `dict` de réponse peut avoir une clé `model`, contenant un modèle Pydantic, tout comme `response_model`.
**FastAPI** prendra ce modèle, générera son schéma JSON et l'inclura au bon endroit dans OpenAPI.
Par exemple, pour déclarer une autre réponse avec un code HTTP `404` et un modèle Pydantic `Message`, vous pouvez écrire :
```Python hl_lines="18 22"
{!../../../docs_src/additional_responses/tutorial001.py!}
```
!!! Remarque
Gardez à l'esprit que vous devez renvoyer directement `JSONResponse`.
!!! Info
La clé `model` ne fait pas partie d'OpenAPI.
**FastAPI** prendra le modèle Pydantic à partir de là, générera le `JSON Schema` et le placera au bon endroit.
Le bon endroit est :
* Dans la clé `content`, qui a pour valeur un autre objet JSON (`dict`) qui contient :
* Une clé avec le type de support, par ex. `application/json`, qui contient comme valeur un autre objet JSON, qui contient :
* Une clé `schema`, qui a pour valeur le schéma JSON du modèle, voici le bon endroit.
* **FastAPI** ajoute ici une référence aux schémas JSON globaux à un autre endroit de votre OpenAPI au lieu de l'inclure directement. De cette façon, d'autres applications et clients peuvent utiliser ces schémas JSON directement, fournir de meilleurs outils de génération de code, etc.
Les réponses générées au format OpenAPI pour cette *opération de chemin* seront :
```JSON hl_lines="3-12"
{
"responses": {
"404": {
"description": "Additional Response",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Message"
}
}
}
},
"200": {
"description": "Successful Response",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Item"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/HTTPValidationError"
}
}
}
}
}
}
```
Les schémas sont référencés à un autre endroit du modèle OpenAPI :
```JSON hl_lines="4-16"
{
"components": {
"schemas": {
"Message": {
"title": "Message",
"required": [
"message"
],
"type": "object",
"properties": {
"message": {
"title": "Message",
"type": "string"
}
}
},
"Item": {
"title": "Item",
"required": [
"id",
"value"
],
"type": "object",
"properties": {
"id": {
"title": "Id",
"type": "string"
},
"value": {
"title": "Value",
"type": "string"
}
}
},
"ValidationError": {
"title": "ValidationError",
"required": [
"loc",
"msg",
"type"
],
"type": "object",
"properties": {
"loc": {
"title": "Location",
"type": "array",
"items": {
"type": "string"
}
},
"msg": {
"title": "Message",
"type": "string"
},
"type": {
"title": "Error Type",
"type": "string"
}
}
},
"HTTPValidationError": {
"title": "HTTPValidationError",
"type": "object",
"properties": {
"detail": {
"title": "Detail",
"type": "array",
"items": {
"$ref": "#/components/schemas/ValidationError"
}
}
}
}
}
}
}
```
## Types de médias supplémentaires pour la réponse principale
Vous pouvez utiliser ce même paramètre `responses` pour ajouter différents types de médias pour la même réponse principale.
Par exemple, vous pouvez ajouter un type de média supplémentaire `image/png`, en déclarant que votre *opération de chemin* peut renvoyer un objet JSON (avec le type de média `application/json`) ou une image PNG :
```Python hl_lines="19-24 28"
{!../../../docs_src/additional_responses/tutorial002.py!}
```
!!! Remarque
Notez que vous devez retourner l'image en utilisant directement un `FileResponse`.
!!! Info
À moins que vous ne spécifiiez explicitement un type de média différent dans votre paramètre `responses`, FastAPI supposera que la réponse a le même type de média que la classe de réponse principale (par défaut `application/json`).
Mais si vous avez spécifié une classe de réponse personnalisée avec `None` comme type de média, FastAPI utilisera `application/json` pour toute réponse supplémentaire associée à un modèle.
## Combinaison d'informations
Vous pouvez également combiner des informations de réponse provenant de plusieurs endroits, y compris les paramètres `response_model`, `status_code` et `responses`.
Vous pouvez déclarer un `response_model`, en utilisant le code HTTP par défaut `200` (ou un code personnalisé si vous en avez besoin), puis déclarer des informations supplémentaires pour cette même réponse dans `responses`, directement dans le schéma OpenAPI.
**FastAPI** conservera les informations supplémentaires des `responses` et les combinera avec le schéma JSON de votre modèle.
Par exemple, vous pouvez déclarer une réponse avec un code HTTP `404` qui utilise un modèle Pydantic et a une `description` personnalisée.
Et une réponse avec un code HTTP `200` qui utilise votre `response_model`, mais inclut un `example` personnalisé :
```Python hl_lines="20-31"
{!../../../docs_src/additional_responses/tutorial003.py!}
```
Tout sera combiné et inclus dans votre OpenAPI, et affiché dans la documentation de l'API :
<img src="/img/tutorial/additional-responses/image01.png">
## Combinez les réponses prédéfinies et les réponses personnalisées
Vous voulez peut-être avoir des réponses prédéfinies qui s'appliquent à de nombreux *paramètre de chemin*, mais vous souhaitez les combiner avec des réponses personnalisées nécessaires à chaque *opération de chemin*.
Dans ces cas, vous pouvez utiliser la technique Python "d'affection par décomposition" (appelé _unpacking_ en anglais) d'un `dict` avec `**dict_to_unpack` :
``` Python
old_dict = {
"old key": "old value",
"second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```
Ici, `new_dict` contiendra toutes les paires clé-valeur de `old_dict` plus la nouvelle paire clé-valeur :
``` Python
{
"old key": "old value",
"second old key": "second old value",
"new key": "new value",
}
```
Vous pouvez utiliser cette technique pour réutiliser certaines réponses prédéfinies dans vos *paramètres de chemin* et les combiner avec des réponses personnalisées supplémentaires.
Par exemple:
```Python hl_lines="13-17 26"
{!../../../docs_src/additional_responses/tutorial004.py!}
```
## Plus d'informations sur les réponses OpenAPI
Pour voir exactement ce que vous pouvez inclure dans les réponses, vous pouvez consulter ces sections dans la spécification OpenAPI :
* <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#responsesObject" class="external-link" target="_blank">Objet Responses de OpenAPI </a>, il inclut le `Response Object`.
* <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md#responseObject" class="external-link" target="_blank">Objet Response de OpenAPI </a>, vous pouvez inclure n'importe quoi directement dans chaque réponse à l'intérieur de votre paramètre `responses`. Y compris `description`, `headers`, `content` (à l'intérieur de cela, vous déclarez différents types de médias et schémas JSON) et `links`.

View File

@ -0,0 +1,37 @@
# Codes HTTP supplémentaires
Par défaut, **FastAPI** renverra les réponses à l'aide d'une structure de données `JSONResponse`, en plaçant la réponse de votre *chemin d'accès* à l'intérieur de cette `JSONResponse`.
Il utilisera le code HTTP par défaut ou celui que vous avez défini dans votre *chemin d'accès*.
## Codes HTTP supplémentaires
Si vous souhaitez renvoyer des codes HTTP supplémentaires en plus du code principal, vous pouvez le faire en renvoyant directement une `Response`, comme une `JSONResponse`, et en définissant directement le code HTTP supplémentaire.
Par exemple, disons que vous voulez avoir un *chemin d'accès* qui permet de mettre à jour les éléments et renvoie les codes HTTP 200 "OK" en cas de succès.
Mais vous voulez aussi qu'il accepte de nouveaux éléments. Et lorsque les éléments n'existaient pas auparavant, il les crée et renvoie un code HTTP de 201 "Créé".
Pour y parvenir, importez `JSONResponse` et renvoyez-y directement votre contenu, en définissant le `status_code` que vous souhaitez :
```Python hl_lines="4 25"
{!../../../docs_src/additional_status_codes/tutorial001.py!}
```
!!! Attention
Lorsque vous renvoyez une `Response` directement, comme dans l'exemple ci-dessus, elle sera renvoyée directement.
Elle ne sera pas sérialisée avec un modèle.
Assurez-vous qu'il contient les données souhaitées et que les valeurs soient dans un format JSON valides (si vous utilisez une `JSONResponse`).
!!! note "Détails techniques"
Vous pouvez également utiliser `from starlette.responses import JSONResponse`.
Pour plus de commodités, **FastAPI** fournit les objets `starlette.responses` sous forme d'un alias accessible par `fastapi.responses`. Mais la plupart des réponses disponibles proviennent directement de Starlette. Il en est de même avec l'objet `statut`.
## Documents OpenAPI et API
Si vous renvoyez directement des codes HTTP et des réponses supplémentaires, ils ne seront pas inclus dans le schéma OpenAPI (la documentation de l'API), car FastAPI n'a aucun moyen de savoir à l'avance ce que vous allez renvoyer.
Mais vous pouvez documenter cela dans votre code, en utilisant : [Réponses supplémentaires dans OpenAPI](additional-responses.md){.internal-link target=_blank}.

View File

@ -426,7 +426,7 @@ For a more complete example including more features, see the <a href="https://fa
* Many extra features (thanks to Starlette) as:
* **WebSockets**
* **GraphQL**
* extremely easy tests based on `requests` and `pytest`
* extremely easy tests based on HTTPX and `pytest`
* **CORS**
* **Cookie Sessions**
* ...and more.
@ -446,7 +446,7 @@ Used by Pydantic:
Used by Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - Required if you want to use the `TestClient`.
* <a href="https://www.python-httpx.org" target="_blank"><code>HTTPX</code></a> - Required if you want to use the `TestClient`.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Required if you want to use the default template configuration.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Required if you want to support form <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>, with `request.form()`.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - Required for `SessionMiddleware` support.

View File

@ -67,6 +67,9 @@ nav:
- tutorial/query-params.md
- tutorial/body.md
- tutorial/background-tasks.md
- Guide utilisateur avancé:
- advanced/additional-status-codes.md
- advanced/additional-responses.md
- async.md
- Déploiement:
- deployment/index.md

View File

@ -445,7 +445,7 @@ item: Item
בשימוש Starlette:
- <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - דרוש אם ברצונכם להשתמש ב - `TestClient`.
- <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - דרוש אם ברצונכם להשתמש ב - `TestClient`.
- <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - דרוש אם ברצונכם להשתמש בברירת המחדל של תצורת הטמפלייטים.
- <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - דרוש אם ברצונכם לתמוך ב <abbr title="המרת המחרוזת שמגיעה מבקשת HTTP למידע פייתון">"פרסור"</abbr> טפסים, באצמעות <code dir="ltr">request.form()</code>.
- <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - דרוש אם ברצונכם להשתמש ב - `SessionMiddleware`.

View File

@ -426,7 +426,7 @@ For a more complete example including more features, see the <a href="https://fa
* Many extra features (thanks to Starlette) as:
* **WebSockets**
* **GraphQL**
* extremely easy tests based on `requests` and `pytest`
* extremely easy tests based on HTTPX and `pytest`
* **CORS**
* **Cookie Sessions**
* ...and more.
@ -446,7 +446,7 @@ Used by Pydantic:
Used by Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - Required if you want to use the `TestClient`.
* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Required if you want to use the `TestClient`.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Required if you want to use the default template configuration.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Required if you want to support form <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>, with `request.form()`.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - Required for `SessionMiddleware` support.

View File

@ -423,7 +423,7 @@ For a more complete example including more features, see the <a href="https://fa
* Many extra features (thanks to Starlette) as:
* **WebSockets**
* **GraphQL**
* extremely easy tests based on `requests` and `pytest`
* extremely easy tests based on HTTPX and `pytest`
* **CORS**
* **Cookie Sessions**
* ...and more.
@ -443,7 +443,7 @@ Used by Pydantic:
Used by Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - Required if you want to use the `TestClient`.
* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Required if you want to use the `TestClient`.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Required if you want to use the default template configuration.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Required if you want to support form <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>, with `request.form()`.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - Required for `SessionMiddleware` support.

View File

@ -0,0 +1,186 @@
# WebSocket
**FastAPI**で<a href="https://developer.mozilla.org/en-US/docs/Web/API/WebSockets_API" class="external-link" target="_blank">WebSocket</a>が使用できます。
## `WebSockets`のインストール
まず `WebSockets`のインストールが必要です。
<div class="termy">
```console
$ pip install websockets
---> 100%
```
</div>
## WebSocket クライアント
### 本番環境
本番環境では、React、Vue.js、Angularなどの最新のフレームワークで作成されたフロントエンドを使用しているでしょう。
そして、バックエンドとWebSocketを使用して通信するために、おそらくフロントエンドのユーティリティを使用することになるでしょう。
または、ネイティブコードでWebSocketバックエンドと直接通信するネイティブモバイルアプリケーションがあるかもしれません。
他にも、WebSocketのエンドポイントと通信する方法があるかもしれません。
---
ただし、この例では非常にシンプルなHTML文書といくつかのJavaScriptを、すべてソースコードの中に入れて使用することにします。
もちろん、これは最適な方法ではありませんし、本番環境で使うことはないでしょう。
本番環境では、上記の方法のいずれかの選択肢を採用することになるでしょう。
しかし、これはWebSocketのサーバーサイドに焦点を当て、実用的な例を示す最も簡単な方法です。
```Python hl_lines="2 6-38 41-43"
{!../../../docs_src/websockets/tutorial001.py!}
```
## `websocket` を作成する
**FastAPI** アプリケーションで、`websocket` を作成します。
```Python hl_lines="1 46-47"
{!../../../docs_src/websockets/tutorial001.py!}
```
!!! note "技術詳細"
`from starlette.websockets import WebSocket` を使用しても構いません.
**FastAPI** は開発者の利便性のために、同じ `WebSocket` を提供します。しかし、こちらはStarletteから直接提供されるものです。
## メッセージの送受信
WebSocketルートでは、 `await` を使ってメッセージの送受信ができます。
```Python hl_lines="48-52"
{!../../../docs_src/websockets/tutorial001.py!}
```
バイナリやテキストデータ、JSONデータを送受信できます。
## 試してみる
ファイル名が `main.py` である場合、以下の方法でアプリケーションを実行します。
<div class="termy">
```console
$ uvicorn main:app --reload
<span style="color: green;">INFO</span>: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```
</div>
ブラウザで <a href="http://127.0.0.1:8000" class="external-link" target="_blank">http://127.0.0.1:8000</a> を開きます。
次のようなシンプルなページが表示されます。
<img src="/img/tutorial/websockets/image01.png">
入力ボックスにメッセージを入力して送信できます。
<img src="/img/tutorial/websockets/image02.png">
そして、 WebSocketを使用した**FastAPI**アプリケーションが応答します。
<img src="/img/tutorial/websockets/image03.png">
複数のメッセージを送信(および受信)できます。
<img src="/img/tutorial/websockets/image04.png">
そして、これらの通信はすべて同じWebSocket接続を使用します。
## 依存関係
WebSocketエンドポイントでは、`fastapi` から以下をインポートして使用できます。
* `Depends`
* `Security`
* `Cookie`
* `Header`
* `Path`
* `Query`
これらは、他のFastAPI エンドポイント/*path operation* の場合と同じように機能します。
```Python hl_lines="58-65 68-83"
{!../../../docs_src/websockets/tutorial002.py!}
```
!!! info "情報"
WebSocket で `HTTPException` を発生させることはあまり意味がありません。したがって、WebSocketの接続を直接閉じる方がよいでしょう。
クロージングコードは、<a href="https://tools.ietf.org/html/rfc6455#section-7.4.1" class="external-link" target="_blank">仕様で定義された有効なコード</a>の中から使用することができます。
将来的には、どこからでも `raise` できる `WebSocketException` が用意され、専用の例外ハンドラを追加できるようになる予定です。これは、Starlette の <a href="https://github.com/encode/starlette/pull/527" class="external-link" target="_blank">PR #527</a> に依存するものです。
### 依存関係を用いてWebSocketsを試してみる
ファイル名が `main.py` である場合、以下の方法でアプリケーションを実行します。
<div class="termy">
```console
$ uvicorn main:app --reload
<span style="color: green;">INFO</span>: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```
</div>
ブラウザで <a href="http://127.0.0.1:8000" class="external-link" target="_blank">http://127.0.0.1:8000</a> を開きます。
クライアントが設定できる項目は以下の通りです。
* パスで使用される「Item ID」
* クエリパラメータとして使用される「Token」
!!! tip "豆知識"
クエリ `token` は依存パッケージによって処理されることに注意してください。
これにより、WebSocketに接続してメッセージを送受信できます。
<img src="/img/tutorial/websockets/image05.png">
## 切断や複数クライアントへの対応
WebSocket接続が閉じられると、 `await websocket.receive_text()` は例外 `WebSocketDisconnect` を発生させ、この例のようにキャッチして処理することができます。
```Python hl_lines="81-83"
{!../../../docs_src/websockets/tutorial003.py!}
```
試してみるには、
* いくつかのブラウザタブでアプリを開きます。
* それらのタブでメッセージを記入してください。
* そして、タブのうち1つを閉じてください。
これにより例外 `WebSocketDisconnect` が発生し、他のすべてのクライアントは次のようなメッセージを受信します。
```
Client #1596980209979 left the chat
```
!!! tip "豆知識"
上記のアプリは、複数の WebSocket 接続に対してメッセージを処理し、ブロードキャストする方法を示すための最小限のシンプルな例です。
しかし、すべての接続がメモリ内の単一のリストで処理されるため、プロセスの実行中にのみ機能し、単一のプロセスでのみ機能することに注意してください。
もしFastAPIと簡単に統合できて、RedisやPostgreSQLなどでサポートされている、より堅牢なものが必要なら、<a href="https://github.com/encode/broadcaster" class="external-link" target="_blank">encode/broadcaster</a> を確認してください。
## その他のドキュメント
オプションの詳細については、Starletteのドキュメントを確認してください。
* <a href="https://www.starlette.io/websockets/" class="external-link" target="_blank"> `WebSocket` クラス</a>
* <a href="https://www.starlette.io/endpoints/#websocketendpoint" class="external-link" target="_blank">クラスベースのWebSocket処理</a>

View File

@ -169,7 +169,7 @@ FastAPIには非常に使いやすく、非常に強力な<abbr title='also know
* **GraphQL**のサポート
* プロセス内バックグラウンドタスク
* 起動およびシャットダウンイベント
* `requests`に基づいて構築されたテストクライアント
* `httpx`に基づいて構築されたテストクライアント
* **CORS**、GZip、静的ファイル、ストリーミング応答
* **セッションとCookie**のサポート
* テストカバレッジ100%

View File

@ -416,7 +416,7 @@ item: Item
- 以下のようなたくさんのおまけ機能(Starlette のおかげです):
- **WebSockets**
- **GraphQL**
- `requests` や `pytest`をもとにした極限に簡単なテスト
- `httpx` や `pytest`をもとにした極限に簡単なテスト
- **CORS**
- **クッキーセッション**
- ...などなど。
@ -436,7 +436,7 @@ Pydantic によって使用されるもの:
Starlette によって使用されるもの:
- <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - `TestClient`を使用するために必要です。
- <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - `TestClient`を使用するために必要です。
- <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - デフォルトのテンプレート設定を使用する場合は必要です。
- <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>`request.form()`からの変換をサポートしたい場合は必要です。
- <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - `SessionMiddleware` サポートのためには必要です。

View File

@ -64,7 +64,7 @@ http://127.0.0.1:8000/items/?skip=20
同様に、デフォルト値を `None` とすることで、オプショナルなクエリパラメータを宣言できます:
```Python hl_lines="7"
```Python hl_lines="9"
{!../../../docs_src/query_params/tutorial002.py!}
```
@ -82,7 +82,7 @@ http://127.0.0.1:8000/items/?skip=20
`bool` 型も宣言できます。これは以下の様に変換されます:
```Python hl_lines="7"
```Python hl_lines="9"
{!../../../docs_src/query_params/tutorial003.py!}
```
@ -126,7 +126,7 @@ http://127.0.0.1:8000/items/foo?short=yes
名前で判別されます:
```Python hl_lines="6 8"
```Python hl_lines="8 10"
{!../../../docs_src/query_params/tutorial004.py!}
```
@ -184,7 +184,7 @@ http://127.0.0.1:8000/items/foo-item?needy=sooooneedy
そして当然、あるパラメータを必須に、別のパラメータにデフォルト値を設定し、また別のパラメータをオプショナルにできます:
```Python hl_lines="7"
```Python hl_lines="10"
{!../../../docs_src/query_params/tutorial006.py!}
```

View File

@ -2,7 +2,7 @@
<a href="https://www.starlette.io/testclient/" class="external-link" target="_blank">Starlette</a> のおかげで、**FastAPI** アプリケーションのテストは簡単で楽しいものになっています。
<a href="http://docs.python-requests.org" class="external-link" target="_blank">Requests</a> がベースなので、非常に使いやすく直感的です。
<a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a> がベースなので、非常に使いやすく直感的です。
これを使用すると、**FastAPI** と共に <a href="https://docs.pytest.org/" class="external-link" target="_blank">pytest</a> を直接利用できます。
@ -14,7 +14,7 @@
`test_` から始まる名前の関数を作成します (これは `pytest` の標準的なコンベンションです)。
`requests` と同じ様に `TestClient` オブジェクトを使用します。
`httpx` と同じ様に `TestClient` オブジェクトを使用します。
チェックしたい Python の標準的な式と共に、シンプルに `assert` 文を記述します。
@ -94,7 +94,7 @@
{!> ../../../docs_src/app_testing/app_b/test_main.py!}
```
リクエストに情報を渡せるクライアントが必要で、その方法がわからない場合はいつでも、`requests` での実現方法を検索 (Google) できます。
リクエストに情報を渡せるクライアントが必要で、その方法がわからない場合はいつでも、`httpx` での実現方法を検索 (Google) できます。
テストでも同じことを行います。
@ -106,7 +106,7 @@
* *ヘッダー* を渡すには、`headers` パラメータに `dict` を渡します。
* *cookies* の場合、 `cookies` パラメータに `dict` です。
(`requests` または `TestClient` を使用して) バックエンドにデータを渡す方法の詳細は、<a href="http://docs.python-requests.org" class="external-link" target="_blank">Requestsのドキュメント</a>を確認してください。
(`httpx` または `TestClient` を使用して) バックエンドにデータを渡す方法の詳細は、<a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPXのドキュメント</a>を確認してください。
!!! info "情報"
`TestClient` は、Pydanticモデルではなく、JSONに変換できるデータを受け取ることに注意してください。

View File

@ -86,6 +86,7 @@ nav:
- advanced/response-directly.md
- advanced/custom-response.md
- advanced/nosql-databases.md
- advanced/websockets.md
- advanced/conditional-openapi.md
- async.md
- デプロイ:

View File

@ -422,7 +422,7 @@ item: Item
* (Starlette 덕분에) 많은 추가 기능:
* **웹 소켓**
* **GraphQL**
* `requests``pytest`에 기반한 극히 쉬운 테스트
* HTTPX`pytest`에 기반한 극히 쉬운 테스트
* **CORS**
* **쿠키 세션**
* ...기타 등등.
@ -442,7 +442,7 @@ Pydantic이 사용하는:
Starlette이 사용하는:
* <a href="http://docs.python-requests.org" target="_blank"><code>requests</code></a> - `TestClient`를 사용하려면 필요.
* <a href="https://www.python-httpx.org" target="_blank"><code>HTTPX</code></a> - `TestClient`를 사용하려면 필요.
* <a href="http://jinja.pocoo.org" target="_blank"><code>jinja2</code></a> - 기본 템플릿 설정을 사용하려면 필요.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - `request.form()`과 함께 <abbr title="HTTP 요청에서 파이썬 데이터로 가는 문자열 변환">"parsing"</abbr>의 지원을 원하면 필요.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - `SessionMiddleware` 지원을 위해 필요.

View File

@ -429,7 +429,7 @@ For a more complete example including more features, see the <a href="https://fa
* **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries.
* Many extra features (thanks to Starlette) as:
* **WebSockets**
* extremely easy tests based on `requests` and `pytest`
* extremely easy tests based on HTTPX and `pytest`
* **CORS**
* **Cookie Sessions**
* ...and more.
@ -449,7 +449,7 @@ Used by Pydantic:
Used by Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - Required if you want to use the `TestClient`.
* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Required if you want to use the `TestClient`.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Required if you want to use the default template configuration.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Required if you want to support form <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>, with `request.form()`.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - Required for `SessionMiddleware` support.

View File

@ -420,7 +420,7 @@ Dla bardziej kompletnych przykładów posiadających więcej funkcjonalności, z
* Wiele dodatkowych funkcji (dzięki Starlette) takie jak:
* **WebSockety**
* **GraphQL**
* bardzo proste testy bazujące na `requests` oraz `pytest`
* bardzo proste testy bazujące na HTTPX oraz `pytest`
* **CORS**
* **Sesje cookie**
* ...i więcej.
@ -440,7 +440,7 @@ Używane przez Pydantic:
Używane przez Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - Wymagane jeżeli chcesz korzystać z `TestClient`.
* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Wymagane jeżeli chcesz korzystać z `TestClient`.
* <a href="https://github.com/Tinche/aiofiles" target="_blank"><code>aiofiles</code></a> - Wymagane jeżeli chcesz korzystać z `FileResponse` albo `StaticFiles`.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Wymagane jeżeli chcesz używać domyślnej konfiguracji szablonów.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Wymagane jeżelich chcesz wsparcie <abbr title="przetwarzania stringa którzy przychodzi z żądaniem HTTP na dane używane przez Pythona">"parsowania"</abbr> formularzy, używając `request.form()`.

View File

@ -0,0 +1,701 @@
# FastAPI em contêineres - Docker
Ao fazer o deploy de aplicações FastAPI uma abordagem comum é construir uma **imagem de contêiner Linux**. Isso normalmente é feito usando o <a href="https://www.docker.com/" class="external-link" target="_blank">**Docker**</a>. Você pode a partir disso fazer o deploy dessa imagem de algumas maneiras.
Usando contêineres Linux você tem diversas vantagens incluindo **segurança**, **replicabilidade**, **simplicidade**, entre outras.
!!! Dica
Está com pressa e já sabe dessas coisas? Pode ir direto para [`Dockerfile` abaixo 👇](#build-a-docker-image-for-fastapi).
<details>
<summary>Visualização do Dockerfile 👀</summary>
```Dockerfile
FROM python:3.9
WORKDIR /code
COPY ./requirements.txt /code/requirements.txt
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
COPY ./app /code/app
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
# If running behind a proxy like Nginx or Traefik add --proxy-headers
# CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80", "--proxy-headers"]
```
</details>
## O que é um Contêiner
Contêineres (especificamente contêineres Linux) são um jeito muito **leve** de empacotar aplicações contendo todas as dependências e arquivos necessários enquanto os mantém isolados de outros contêineres (outras aplicações ou componentes) no mesmo sistema.
Contêineres Linux rodam usando o mesmo kernel Linux do hospedeiro (máquina, máquina virtual, servidor na nuvem, etc). Isso simplesmente significa que eles são muito leves (comparados com máquinas virtuais emulando um sistema operacional completo).
Dessa forma, contêineres consomem **poucos recursos**, uma quantidade comparável com rodar os processos diretamente (uma máquina virtual consumiria muito mais).
Contêineres também possuem seus próprios processos (comumente um único processo), sistema de arquivos e rede **isolados** simplificando deploy, segurança, desenvolvimento, etc.
## O que é uma Imagem de Contêiner
Um **contêiner** roda a partir de uma **imagem de contêiner**.
Uma imagem de contêiner é uma versão **estática** de todos os arquivos, variáveis de ambiente e do comando/programa padrão que deve estar presente num contêiner. **Estática** aqui significa que a **imagem** de contêiner não está rodando, não está sendo executada, somente contém os arquivos e metadados empacotados.
Em contraste com a "**imagem de contêiner**" que contém os conteúdos estáticos armazenados, um "**contêiner**" normalmente se refere à instância rodando, a coisa que está sendo **executada**.
Quando o **contêiner** é iniciado e está rodando (iniciado a partir de uma **imagem de contêiner**), ele pode criar ou modificar arquivos, variáveis de ambiente, etc. Essas mudanças vão existir somente nesse contêiner, mas não persistirão na imagem subjacente do container (não serão salvas no disco).
Uma imagem de contêiner é comparável ao arquivo de **programa** e seus conteúdos, ex.: `python` e algum arquivo `main.py`.
E o **contêiner** em si (em contraste à **imagem de contêiner**) é a própria instância da imagem rodando, comparável a um **processo**. Na verdade, um contêiner está rodando somente quando há um **processo rodando** (e normalmente é somente um processo). O contêiner finaliza quando não há um processo rodando nele.
## Imagens de contêiner
Docker tem sido uma das principais ferramentas para criar e gerenciar **imagens de contêiner** e **contêineres**.
E existe um <a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a> público com **imagens de contêiner oficiais** pré-prontas para diversas ferramentas, ambientes, bancos de dados e aplicações.
Por exemplo, há uma <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Imagem Python</a> oficial.
E existe muitas outras imagens para diferentes coisas, como bancos de dados, por exemplo:
* <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>
* <a href="https://hub.docker.com/_/mysql" class="external-link" target="_blank">MySQL</a>
* <a href="https://hub.docker.com/_/mongo" class="external-link" target="_blank">MongoDB</a>
* <a href="https://hub.docker.com/_/redis" class="external-link" target="_blank">Redis</a>, etc.
Usando imagens de contêiner pré-prontas é muito fácil **combinar** e usar diferentes ferramentas. Por exemplo, para testar um novo banco de dados. Em muitos casos, você pode usar as **imagens oficiais** precisando somente de variáveis de ambiente para configurá-las.
Dessa forma, em muitos casos você pode aprender sobre contêineres e Docker e re-usar essa experiência com diversos componentes e ferramentas.
Então, você rodaria **vários contêineres** com coisas diferentes, como um banco de dados, uma aplicação Python, um servidor web com uma aplicação frontend React, e conectá-los juntos via sua rede interna.
Todos os sistemas de gerenciamento de contêineres (como Docker ou Kubernetes) possuem essas funcionalidades de rede integradas a eles.
## Contêineres e Processos
Uma **imagem de contêiner** normalmente inclui em seus metadados o programa padrão ou comando que deve ser executado quando o **contêiner** é iniciado e os parâmetros a serem passados para esse programa. Muito similar ao que seria se estivesse na linha de comando.
Quando um **contêiner** é iniciado, ele irá rodar esse comando/programa (embora você possa sobrescrevê-lo e fazer com que ele rode um comando/programa diferente).
Um contêiner está rodando enquanto o **processo principal** (comando ou programa) estiver rodando.
Um contêiner normalmente tem um **único processo**, mas também é possível iniciar sub-processos a partir do processo principal, e dessa forma você terá **vários processos** no mesmo contêiner.
Mas não é possível ter um contêiner rodando sem **pelo menos um processo rodando**. Se o processo principal parar, o contêiner também para.
## Construindo uma Imagem Docker para FastAPI
Okay, vamos construir algo agora! 🚀
Eu vou mostrar como construir uma **imagem Docker** para FastAPI **do zero**, baseado na **imagem oficial do Python**.
Isso é o que você quer fazer na **maioria dos casos**, por exemplo:
* Usando **Kubernetes** ou ferramentas similares
* Quando rodando em uma **Raspberry Pi**
* Usando um serviço em nuvem que irá rodar uma imagem de contêiner para você, etc.
### O Pacote Requirements
Você normalmente teria os **requisitos do pacote** para sua aplicação em algum arquivo.
Isso pode depender principalmente da ferramenta que você usa para **instalar** esses requisitos.
O caminho mais comum de fazer isso é ter um arquivo `requirements.txt` com os nomes dos pacotes e suas versões, um por linha.
Você, naturalmente, usaria as mesmas ideias que você leu em [Sobre Versões do FastAPI](./versions.md){.internal-link target=_blank} para definir os intervalos de versões.
Por exemplo, seu `requirements.txt` poderia parecer com:
```
fastapi>=0.68.0,<0.69.0
pydantic>=1.8.0,<2.0.0
uvicorn>=0.15.0,<0.16.0
```
E você normalmente instalaria essas dependências de pacote com `pip`, por exemplo:
<div class="termy">
```console
$ pip install -r requirements.txt
---> 100%
Successfully installed fastapi pydantic uvicorn
```
</div>
!!! info
Há outros formatos e ferramentas para definir e instalar dependências de pacote.
Eu vou mostrar um exemplo depois usando Poetry em uma seção abaixo. 👇
### Criando o Código do **FastAPI**
* Crie um diretório `app` e entre nele.
* Crie um arquivo vazio `__init__.py`.
* Crie um arquivo `main.py` com:
```Python
from typing import Optional
from fastapi import FastAPI
app = FastAPI()
@app.get("/")
def read_root():
return {"Hello": "World"}
@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
return {"item_id": item_id, "q": q}
```
### Dockerfile
Agora, no mesmo diretório do projeto, crie um arquivo `Dockerfile` com:
```{ .dockerfile .annotate }
# (1)
FROM python:3.9
# (2)
WORKDIR /code
# (3)
COPY ./requirements.txt /code/requirements.txt
# (4)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
# (5)
COPY ./app /code/app
# (6)
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```
1. Inicie a partir da imagem base oficial do Python.
2. Defina o diretório de trabalho atual para `/code`.
Esse é o diretório onde colocaremos o arquivo `requirements.txt` e o diretório `app`.
3. Copie o arquivo com os requisitos para o diretório `/code`.
Copie **somente** o arquivo com os requisitos primeiro, não o resto do código.
Como esse arquivo **não muda com frequência**, o Docker irá detectá-lo e usar o **cache** para esse passo, habilitando o cache para o próximo passo também.
4. Instale as dependências de pacote vindas do arquivo de requisitos.
A opção `--no-cache-dir` diz ao `pip` para não salvar os pacotes baixados localmente, pois isso só aconteceria se `pip` fosse executado novamente para instalar os mesmos pacotes, mas esse não é o caso quando trabalhamos com contêineres.
!!! note
`--no-cache-dir` é apenas relacionado ao `pip`, não tem nada a ver com Docker ou contêineres.
A opção `--upgrade` diz ao `pip` para atualizar os pacotes se eles já estiverem instalados.
Por causa do passo anterior de copiar o arquivo, ele pode ser detectado pelo **cache do Docker**, esse passo também **usará o cache do Docker** quando disponível.
Usando o cache nesse passo irá **salvar** muito **tempo** quando você for construir a imagem repetidas vezes durante o desenvolvimento, ao invés de **baixar e instalar** todas as dependências **toda vez**.
5. Copie o diretório `./app` dentro do diretório `/code`.
Como isso tem todo o código contendo o que **muda com mais frequência**, o **cache do Docker** não será usado para esse passo ou para **qualquer passo seguinte** facilmente.
Então, é importante colocar isso **perto do final** do `Dockerfile`, para otimizar o tempo de construção da imagem do contêiner.
6. Defina o **comando** para rodar o servidor `uvicorn`.
`CMD` recebe uma lista de strings, cada uma dessas strings é o que você digitaria na linha de comando separado por espaços.
Esse comando será executado a partir do **diretório de trabalho atual**, o mesmo diretório `/code` que você definiu acima com `WORKDIR /code`.
Porque o programa será iniciado em `/code` e dentro dele está o diretório `./app` com seu código, o **Uvicorn** será capaz de ver e **importar** `app` de `app.main`.
!!! tip
Revise o que cada linha faz clicando em cada bolha com o número no código. 👆
Agora você deve ter uma estrutura de diretório como:
```
.
├── app
│   ├── __init__.py
│ └── main.py
├── Dockerfile
└── requirements.txt
```
#### Por Trás de um Proxy de Terminação TLS
Se você está executando seu contêiner atrás de um Proxy de Terminação TLS (load balancer) como Nginx ou Traefik, adicione a opção `--proxy-headers`, isso fará com que o Uvicorn confie nos cabeçalhos enviados por esse proxy, informando que o aplicativo está sendo executado atrás do HTTPS, etc.
```Dockerfile
CMD ["uvicorn", "app.main:app", "--proxy-headers", "--host", "0.0.0.0", "--port", "80"]
```
#### Cache Docker
Existe um truque importante nesse `Dockerfile`, primeiro copiamos o **arquivo com as dependências sozinho**, não o resto do código. Deixe-me te contar o porquê disso.
```Dockerfile
COPY ./requirements.txt /code/requirements.txt
```
Docker e outras ferramentas **constróem** essas imagens de contêiner **incrementalmente**, adicionando **uma camada em cima da outra**, começando do topo do `Dockerfile` e adicionando qualquer arquivo criado por cada uma das instruções do `Dockerfile`.
Docker e ferramentas similares também usam um **cache interno** ao construir a imagem, se um arquivo não mudou desde a última vez que a imagem do contêiner foi construída, então ele irá **reutilizar a mesma camada** criada na última vez, ao invés de copiar o arquivo novamente e criar uma nova camada do zero.
Somente evitar a cópia de arquivos não melhora muito as coisas, mas porque ele usou o cache para esse passo, ele pode **usar o cache para o próximo passo**. Por exemplo, ele pode usar o cache para a instrução que instala as dependências com:
```Dockerfile
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
```
O arquivo com os requisitos de pacote **não muda com frequência**. Então, ao copiar apenas esse arquivo, o Docker será capaz de **usar o cache** para esse passo.
E então, o Docker será capaz de **usar o cache para o próximo passo** que baixa e instala essas dependências. E é aqui que **salvamos muito tempo**. ✨ ...e evitamos tédio esperando. 😪😆
Baixar e instalar as dependências do pacote **pode levar minutos**, mas usando o **cache** leva **segundos** no máximo.
E como você estaria construindo a imagem do contêiner novamente e novamente durante o desenvolvimento para verificar se suas alterações de código estão funcionando, há muito tempo acumulado que isso economizaria.
A partir daí, perto do final do `Dockerfile`, copiamos todo o código. Como isso é o que **muda com mais frequência**, colocamos perto do final, porque quase sempre, qualquer coisa depois desse passo não será capaz de usar o cache.
```Dockerfile
COPY ./app /code/app
```
### Construindo a Imagem Docker
Agora que todos os arquivos estão no lugar, vamos construir a imagem do contêiner.
* Vá para o diretório do projeto (onde está o seu `Dockerfile`, contendo o diretório `app`).
* Construa sua imagem FastAPI:
<div class="termy">
```console
$ docker build -t myimage .
---> 100%
```
</div>
!!! tip
Note o `.` no final, é equivalente a `./`, ele diz ao Docker o diretório a ser usado para construir a imagem do contêiner.
Nesse caso, é o mesmo diretório atual (`.`).
### Inicie o contêiner Docker
* Execute um contêiner baseado na sua imagem:
<div class="termy">
```console
$ docker run -d --name mycontêiner -p 80:80 myimage
```
</div>
## Verifique
Você deve ser capaz de verificar isso no URL do seu contêiner Docker, por exemplo: <a href="http://192.168.99.100/items/5?q=somequery" class="external-link" target="_blank">http://192.168.99.100/items/5?q=somequery</a> ou <a href="http://127.0.0.1/items/5?q=somequery" class="external-link" target="_blank">http://127.0.0.1/items/5?q=somequery</a> (ou equivalente, usando seu host Docker).
Você verá algo como:
```JSON
{"item_id": 5, "q": "somequery"}
```
## Documentação interativa da API
Agora você pode ir para <a href="http://192.168.99.100/docs" class="external-link" target="_blank">http://192.168.99.100/docs</a> ou <a href="http://127.0.0.1/docs" class="external-link" target="_blank">http://127.0.0.1/docs</a> (ou equivalente, usando seu host Docker).
Você verá a documentação interativa automática da API (fornecida pelo <a href="https://github.com/swagger-api/swagger-ui" class="external-link" target="_blank">Swagger UI</a>):
![Swagger UI](https://fastapi.tiangolo.com/img/index/index-01-swagger-ui-simple.png)
## Documentação alternativa da API
E você também pode ir para <a href="http://192.168.99.100/redoc" class="external-link" target="_blank">http://192.168.99.100/redoc</a> ou <a href="http://127.0.0.1/redoc" class="external-link" target="_blank">http://127.0.0.1/redoc</a> (ou equivalente, usando seu host Docker).
Você verá a documentação alternativa automática (fornecida pela <a href="https://github.com/Rebilly/ReDoc" class="external-link" target="_blank">ReDoc</a>):
![ReDoc](https://fastapi.tiangolo.com/img/index/index-02-redoc-simple.png)
## Construindo uma Imagem Docker com um Arquivo Único FastAPI
Se seu FastAPI for um único arquivo, por exemplo, `main.py` sem um diretório `./app`, sua estrutura de arquivos poderia ser assim:
```
.
├── Dockerfile
├── main.py
└── requirements.txt
```
Então você só teria que alterar os caminhos correspondentes para copiar o arquivo dentro do `Dockerfile`:
```{ .dockerfile .annotate hl_lines="10 13" }
FROM python:3.9
WORKDIR /code
COPY ./requirements.txt /code/requirements.txt
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
# (1)
COPY ./main.py /code/
# (2)
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80"]
```
1. Copie o arquivo `main.py` para o diretório `/code` diretamente (sem nenhum diretório `./app`).
2. Execute o Uvicorn e diga a ele para importar o objeto `app` de `main` (em vez de importar de `app.main`).
Então ajuste o comando Uvicorn para usar o novo módulo `main` em vez de `app.main` para importar o objeto FastAPI `app`.
## Conceitos de Implantação
Vamos falar novamente sobre alguns dos mesmos [Conceitos de Implantação](./concepts.md){.internal-link target=_blank} em termos de contêineres.
Contêineres são principalmente uma ferramenta para simplificar o processo de **construção e implantação** de um aplicativo, mas eles não impõem uma abordagem particular para lidar com esses **conceitos de implantação** e existem várias estratégias possíveis.
A **boa notícia** é que com cada estratégia diferente há uma maneira de cobrir todos os conceitos de implantação. 🎉
Vamos revisar esses **conceitos de implantação** em termos de contêineres:
* HTTPS
* Executando na inicialização
* Reinicializações
* Replicação (número de processos rodando)
* Memória
* Passos anteriores antes de começar
## HTTPS
Se nos concentrarmos apenas na **imagem do contêiner** para um aplicativo FastAPI (e posteriormente no **contêiner** em execução), o HTTPS normalmente seria tratado **externamente** por outra ferramenta.
Isso poderia ser outro contêiner, por exemplo, com <a href="https://traefik.io/" class="external-link" target="_blank">Traefik</a>, lidando com **HTTPS** e aquisição **automática** de **certificados**.
!!! tip
Traefik tem integrações com Docker, Kubernetes e outros, portanto, é muito fácil configurar e configurar o HTTPS para seus contêineres com ele.
Alternativamente, o HTTPS poderia ser tratado por um provedor de nuvem como um de seus serviços (enquanto ainda executasse o aplicativo em um contêiner).
## Executando na inicialização e reinicializações
Normalmente, outra ferramenta é responsável por **iniciar e executar** seu contêiner.
Ela poderia ser o **Docker** diretamente, **Docker Compose**, **Kubernetes**, um **serviço de nuvem**, etc.
Na maioria (ou em todos) os casos, há uma opção simples para habilitar a execução do contêiner na inicialização e habilitar reinicializações em falhas. Por exemplo, no Docker, é a opção de linha de comando `--restart`.
Sem usar contêineres, fazer aplicativos executarem na inicialização e com reinicializações pode ser trabalhoso e difícil. Mas quando **trabalhando com contêineres** em muitos casos essa funcionalidade é incluída por padrão. ✨
## Replicação - Número de Processos
Se você tiver um <abbr title="Um grupo de máquinas que são configuradas para estarem conectadas e trabalharem juntas de alguma forma">cluster</abbr> de máquinas com **Kubernetes**, Docker Swarm Mode, Nomad ou outro sistema complexo semelhante para gerenciar contêineres distribuídos em várias máquinas, então provavelmente desejará **lidar com a replicação** no **nível do cluster** em vez de usar um **gerenciador de processos** (como o Gunicorn com workers) em cada contêiner.
Um desses sistemas de gerenciamento de contêineres distribuídos como o Kubernetes normalmente tem alguma maneira integrada de lidar com a **replicação de contêineres** enquanto ainda oferece **balanceamento de carga** para as solicitações recebidas. Tudo no **nível do cluster**.
Nesses casos, você provavelmente desejará criar uma **imagem do contêiner do zero** como [explicado acima](#dockerfile), instalando suas dependências e executando **um único processo Uvicorn** em vez de executar algo como Gunicorn com trabalhadores Uvicorn.
### Balanceamento de Carga
Quando usando contêineres, normalmente você terá algum componente **escutando na porta principal**. Poderia ser outro contêiner que também é um **Proxy de Terminação TLS** para lidar com **HTTPS** ou alguma ferramenta semelhante.
Como esse componente assumiria a **carga** de solicitações e distribuiria isso entre os trabalhadores de uma maneira (esperançosamente) **balanceada**, ele também é comumente chamado de **Balanceador de Carga**.
!!! tip
O mesmo componente **Proxy de Terminação TLS** usado para HTTPS provavelmente também seria um **Balanceador de Carga**.
E quando trabalhar com contêineres, o mesmo sistema que você usa para iniciar e gerenciá-los já terá ferramentas internas para transmitir a **comunicação de rede** (por exemplo, solicitações HTTP) do **balanceador de carga** (que também pode ser um **Proxy de Terminação TLS**) para o(s) contêiner(es) com seu aplicativo.
### Um Balanceador de Carga - Múltiplos Contêineres de Workers
Quando trabalhando com **Kubernetes** ou sistemas similares de gerenciamento de contêiner distribuído, usando seus mecanismos de rede internos permitiria que o único **balanceador de carga** que estivesse escutando na **porta principal** transmitisse comunicação (solicitações) para possivelmente **múltiplos contêineres** executando seu aplicativo.
Cada um desses contêineres executando seu aplicativo normalmente teria **apenas um processo** (ex.: um processo Uvicorn executando seu aplicativo FastAPI). Todos seriam **contêineres idênticos**, executando a mesma coisa, mas cada um com seu próprio processo, memória, etc. Dessa forma, você aproveitaria a **paralelização** em **núcleos diferentes** da CPU, ou até mesmo em **máquinas diferentes**.
E o sistema de contêiner com o **balanceador de carga** iria **distribuir as solicitações** para cada um dos contêineres com seu aplicativo **em turnos**. Portanto, cada solicitação poderia ser tratada por um dos múltiplos **contêineres replicados** executando seu aplicativo.
E normalmente esse **balanceador de carga** seria capaz de lidar com solicitações que vão para *outros* aplicativos em seu cluster (por exemplo, para um domínio diferente, ou sob um prefixo de URL diferente), e transmitiria essa comunicação para os contêineres certos para *esse outro* aplicativo em execução em seu cluster.
### Um Processo por Contêiner
Nesse tipo de cenário, provavelmente você desejará ter **um único processo (Uvicorn) por contêiner**, pois já estaria lidando com a replicação no nível do cluster.
Então, nesse caso, você **não** desejará ter um gerenciador de processos como o Gunicorn com trabalhadores Uvicorn, ou o Uvicorn usando seus próprios trabalhadores Uvicorn. Você desejará ter apenas um **único processo Uvicorn** por contêiner (mas provavelmente vários contêineres).
Tendo outro gerenciador de processos dentro do contêiner (como seria com o Gunicorn ou o Uvicorn gerenciando trabalhadores Uvicorn) só adicionaria **complexidade desnecessária** que você provavelmente já está cuidando com seu sistema de cluster.
### Contêineres com Múltiplos Processos e Casos Especiais
Claro, existem **casos especiais** em que você pode querer ter um **contêiner** com um **gerenciador de processos Gunicorn** iniciando vários **processos trabalhadores Uvicorn** dentro.
Nesses casos, você pode usar a **imagem oficial do Docker** que inclui o **Gunicorn** como um gerenciador de processos executando vários **processos trabalhadores Uvicorn**, e algumas configurações padrão para ajustar o número de trabalhadores com base nos atuais núcleos da CPU automaticamente. Eu vou te contar mais sobre isso abaixo em [Imagem Oficial do Docker com Gunicorn - Uvicorn](#imagem-oficial-do-docker-com-gunicorn-uvicorn).
Aqui estão alguns exemplos de quando isso pode fazer sentido:
#### Um Aplicativo Simples
Você pode querer um gerenciador de processos no contêiner se seu aplicativo for **simples o suficiente** para que você não precise (pelo menos não agora) ajustar muito o número de processos, e você pode simplesmente usar um padrão automatizado (com a imagem oficial do Docker), e você está executando em um **único servidor**, não em um cluster.
#### Docker Compose
Você pode estar implantando em um **único servidor** (não em um cluster) com o **Docker Compose**, então você não teria uma maneira fácil de gerenciar a replicação de contêineres (com o Docker Compose) enquanto preserva a rede compartilhada e o **balanceamento de carga**.
Então você pode querer ter **um único contêiner** com um **gerenciador de processos** iniciando **vários processos trabalhadores** dentro.
#### Prometheus and Outros Motivos
Você também pode ter **outros motivos** que tornariam mais fácil ter um **único contêiner** com **múltiplos processos** em vez de ter **múltiplos contêineres** com **um único processo** em cada um deles.
Por exemplo (dependendo de sua configuração), você poderia ter alguma ferramenta como um exportador do Prometheus no mesmo contêiner que deve ter acesso a **cada uma das solicitações** que chegam.
Nesse caso, se você tivesse **múltiplos contêineres**, por padrão, quando o Prometheus fosse **ler as métricas**, ele receberia as métricas de **um único contêiner cada vez** (para o contêiner que tratou essa solicitação específica), em vez de receber as **métricas acumuladas** de todos os contêineres replicados.
Então, nesse caso, poderia ser mais simples ter **um único contêiner** com **múltiplos processos**, e uma ferramenta local (por exemplo, um exportador do Prometheus) no mesmo contêiner coletando métricas do Prometheus para todos os processos internos e expor essas métricas no único contêiner.
---
O ponto principal é que **nenhum** desses são **regras escritas em pedra** que você deve seguir cegamente. Você pode usar essas idéias para **avaliar seu próprio caso de uso** e decidir qual é a melhor abordagem para seu sistema, verificando como gerenciar os conceitos de:
* Segurança - HTTPS
* Executando na inicialização
* Reinicializações
* Replicação (o número de processos em execução)
* Memória
* Passos anteriores antes de inicializar
## Memória
Se você executar **um único processo por contêiner**, terá uma quantidade mais ou menos bem definida, estável e limitada de memória consumida por cada um desses contêineres (mais de um se eles forem replicados).
E então você pode definir esses mesmos limites e requisitos de memória em suas configurações para seu sistema de gerenciamento de contêineres (por exemplo, no **Kubernetes**). Dessa forma, ele poderá **replicar os contêineres** nas **máquinas disponíveis** levando em consideração a quantidade de memória necessária por eles e a quantidade disponível nas máquinas no cluster.
Se sua aplicação for **simples**, isso provavelmente **não será um problema**, e você pode não precisar especificar limites de memória rígidos. Mas se você estiver **usando muita memória** (por exemplo, com **modelos de aprendizado de máquina**), deve verificar quanta memória está consumindo e ajustar o **número de contêineres** que executa em **cada máquina** (e talvez adicionar mais máquinas ao seu cluster).
Se você executar **múltiplos processos por contêiner** (por exemplo, com a imagem oficial do Docker), deve garantir que o número de processos iniciados não **consuma mais memória** do que o disponível.
## Passos anteriores antes de inicializar e contêineres
Se você estiver usando contêineres (por exemplo, Docker, Kubernetes), existem duas abordagens principais que você pode usar.
### Contêineres Múltiplos
Se você tiver **múltiplos contêineres**, provavelmente cada um executando um **único processo** (por exemplo, em um cluster do **Kubernetes**), então provavelmente você gostaria de ter um **contêiner separado** fazendo o trabalho dos **passos anteriores** em um único contêiner, executando um único processo, **antes** de executar os contêineres trabalhadores replicados.
!!! info
Se você estiver usando o Kubernetes, provavelmente será um <a href="https://kubernetes.io/docs/concepts/workloads/pods/init-containers/" class="external-link" target="_blank">Init Container</a>.
Se no seu caso de uso não houver problema em executar esses passos anteriores **em paralelo várias vezes** (por exemplo, se você não estiver executando migrações de banco de dados, mas apenas verificando se o banco de dados está pronto), então você também pode colocá-los em cada contêiner logo antes de iniciar o processo principal.
### Contêiner Único
Se você tiver uma configuração simples, com um **único contêiner** que então inicia vários **processos trabalhadores** (ou também apenas um processo), então poderia executar esses passos anteriores no mesmo contêiner, logo antes de iniciar o processo com o aplicativo. A imagem oficial do Docker suporta isso internamente.
## Imagem Oficial do Docker com Gunicorn - Uvicorn
Há uma imagem oficial do Docker que inclui o Gunicorn executando com trabalhadores Uvicorn, conforme detalhado em um capítulo anterior: [Server Workers - Gunicorn com Uvicorn](./server-workers.md){.internal-link target=_blank}.
Essa imagem seria útil principalmente nas situações descritas acima em: [Contêineres com Múltiplos Processos e Casos Especiais](#contêineres-com-múltiplos-processos-e-casos-Especiais).
* <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>.
!!! warning
Existe uma grande chance de que você **não** precise dessa imagem base ou de qualquer outra semelhante, e seria melhor construir a imagem do zero, como [descrito acima em: Construa uma Imagem Docker para o FastAPI](#construa-uma-imagem-docker-para-o-fastapi).
Essa imagem tem um mecanismo de **auto-ajuste** incluído para definir o **número de processos trabalhadores** com base nos núcleos de CPU disponíveis.
Isso tem **padrões sensíveis**, mas você ainda pode alterar e atualizar todas as configurações com **variáveis de ambiente** ou arquivos de configuração.
Há também suporte para executar <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker#pre_start_path" class="external-link" target="_blank">**passos anteriores antes de iniciar**</a> com um script.
!!! tip
Para ver todas as configurações e opções, vá para a página da imagem Docker: <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>.
### Número de Processos na Imagem Oficial do Docker
O **número de processos** nesta imagem é **calculado automaticamente** a partir dos **núcleos de CPU** disponíveis.
Isso significa que ele tentará **aproveitar** o máximo de **desempenho** da CPU possível.
Você também pode ajustá-lo com as configurações usando **variáveis de ambiente**, etc.
Mas isso também significa que, como o número de processos depende da CPU do contêiner em execução, a **quantidade de memória consumida** também dependerá disso.
Então, se seu aplicativo consumir muito memória (por exemplo, com modelos de aprendizado de máquina), e seu servidor tiver muitos núcleos de CPU **mas pouca memória**, então seu contêiner pode acabar tentando usar mais memória do que está disponível e degradar o desempenho muito (ou até mesmo travar). 🚨
### Criando um `Dockerfile`
Aqui está como você criaria um `Dockerfile` baseado nessa imagem:
```Dockerfile
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9
COPY ./requirements.txt /app/requirements.txt
RUN pip install --no-cache-dir --upgrade -r /app/requirements.txt
COPY ./app /app
```
### Aplicações Maiores
Se você seguiu a seção sobre a criação de [Aplicações Maiores com Múltiplos Arquivos](../tutorial/bigger-applications.md){.internal-link target=_blank}, seu `Dockerfile` pode parecer com isso:
```Dockerfile
```Dockerfile hl_lines="7"
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9
COPY ./requirements.txt /app/requirements.txt
RUN pip install --no-cache-dir --upgrade -r /app/requirements.txt
COPY ./app /app/app
```
### Quando Usar
Você provavelmente **não** deve usar essa imagem base oficial (ou qualquer outra semelhante) se estiver usando **Kubernetes** (ou outros) e já estiver definindo **replicação** no nível do cluster, com vários **contêineres**. Nesses casos, é melhor **construir uma imagem do zero** conforme descrito acima: [Construindo uma Imagem Docker para FastAPI](#construindo-uma-imagem-docker-para-fastapi).
Essa imagem seria útil principalmente nos casos especiais descritos acima em [Contêineres com Múltiplos Processos e Casos Especiais](#contêineres-com-múltiplos-processos-e-casos-Especiais). Por exemplo, se sua aplicação for **simples o suficiente** para que a configuração padrão de número de processos com base na CPU funcione bem, você não quer se preocupar com a configuração manual da replicação no nível do cluster e não está executando mais de um contêiner com seu aplicativo. Ou se você estiver implantando com **Docker Compose**, executando em um único servidor, etc.
## Deploy da Imagem do Contêiner
Depois de ter uma imagem de contêiner (Docker), existem várias maneiras de implantá-la.
Por exemplo:
* Com **Docker Compose** em um único servidor
* Com um cluster **Kubernetes**
* Com um cluster Docker Swarm Mode
* Com outra ferramenta como o Nomad
* Com um serviço de nuvem que pega sua imagem de contêiner e a implanta
## Imagem Docker com Poetry
Se você usa <a href="https://python-poetry.org/" class="external-link" target="_blank">Poetry</a> para gerenciar as dependências do seu projeto, pode usar a construção multi-estágio do Docker:
```{ .dockerfile .annotate }
# (1)
FROM python:3.9 as requirements-stage
# (2)
WORKDIR /tmp
# (3)
RUN pip install poetry
# (4)
COPY ./pyproject.toml ./poetry.lock* /tmp/
# (5)
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes
# (6)
FROM python:3.9
# (7)
WORKDIR /code
# (8)
COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt
# (9)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
# (10)
COPY ./app /code/app
# (11)
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```
1. Esse é o primeiro estágio, ele é chamado `requirements-stage`.
2. Defina `/tmp` como o diretório de trabalho atual.
Aqui é onde geraremos o arquivo `requirements.txt`
3. Instale o Poetry nesse estágio do Docker.
4. Copie os arquivos `pyproject.toml` e `poetry.lock` para o diretório `/tmp`.
Porque está usando `./poetry.lock*` (terminando com um `*`), não irá falhar se esse arquivo ainda não estiver disponível.
5. Gere o arquivo `requirements.txt`.
6. Este é o estágio final, tudo aqui será preservado na imagem final do contêiner.
7. Defina o diretório de trabalho atual como `/code`.
8. Copie o arquivo `requirements.txt` para o diretório `/code`.
Essse arquivo só existe no estágio anterior do Docker, é por isso que usamos `--from-requirements-stage` para copiá-lo.
9. Instale as dependências de pacote do arquivo `requirements.txt` gerado.
10. Copie o diretório `app` para o diretório `/code`.
11. Execute o comando `uvicorn`, informando-o para usar o objeto `app` importado de `app.main`.
!!! tip
Clique nos números das bolhas para ver o que cada linha faz.
Um **estágio do Docker** é uma parte de um `Dockerfile` que funciona como uma **imagem temporária do contêiner** que só é usada para gerar alguns arquivos para serem usados posteriormente.
O primeiro estágio será usado apenas para **instalar Poetry** e para **gerar o `requirements.txt`** com as dependências do seu projeto a partir do arquivo `pyproject.toml` do Poetry.
Esse arquivo `requirements.txt` será usado com `pip` mais tarde no **próximo estágio**.
Na imagem final do contêiner, **somente o estágio final** é preservado. Os estágios anteriores serão descartados.
Quando usar Poetry, faz sentido usar **construções multi-estágio do Docker** porque você realmente não precisa ter o Poetry e suas dependências instaladas na imagem final do contêiner, você **apenas precisa** ter o arquivo `requirements.txt` gerado para instalar as dependências do seu projeto.
Então, no próximo (e último) estágio, você construiria a imagem mais ou menos da mesma maneira descrita anteriormente.
### Por trás de um proxy de terminação TLS - Poetry
Novamente, se você estiver executando seu contêiner atrás de um proxy de terminação TLS (balanceador de carga) como Nginx ou Traefik, adicione a opção `--proxy-headers` ao comando:
```Dockerfile
CMD ["uvicorn", "app.main:app", "--proxy-headers", "--host", "0.0.0.0", "--port", "80"]
```
## Recapitulando
Usando sistemas de contêiner (por exemplo, com **Docker** e **Kubernetes**), torna-se bastante simples lidar com todos os **conceitos de implantação**:
* HTTPS
* Executando na inicialização
* Reinícios
* Replicação (o número de processos rodando)
* Memória
* Passos anteriores antes de inicializar
Na maioria dos casos, você provavelmente não desejará usar nenhuma imagem base e, em vez disso, **construir uma imagem de contêiner do zero** baseada na imagem oficial do Docker Python.
Tendo cuidado com a **ordem** das instruções no `Dockerfile` e o **cache do Docker**, você pode **minimizar os tempos de construção**, para maximizar sua produtividade (e evitar a tédio). 😎
Em alguns casos especiais, você pode querer usar a imagem oficial do Docker para o FastAPI. 🤓

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@ -167,7 +167,7 @@ Com **FastAPI**, você terá todos os recursos do **Starlette** (já que FastAPI
* Suporte a **GraphQL**.
* Tarefas em processo _background_.
* Eventos na inicialização e encerramento.
* Cliente de testes construído sobre `requests`.
* Cliente de testes construído sobre HTTPX.
* Respostas em **CORS**, GZip, Static Files, Streaming.
* Suporte a **Session e Cookie**.
* 100% de cobertura de testes.

View File

@ -415,7 +415,7 @@ Para um exemplo mais completo incluindo mais recursos, veja <a href="https://fas
* Muitos recursos extras (graças ao Starlette) como:
* **WebSockets**
* **GraphQL**
* testes extrememamente fáceis baseados em `requests` e `pytest`
* testes extrememamente fáceis baseados em HTTPX e `pytest`
* **CORS**
* **Cookie Sessions**
* ...e mais.
@ -435,7 +435,7 @@ Usados por Pydantic:
Usados por Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - Necessário se você quiser utilizar o `TestClient`.
* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Necessário se você quiser utilizar o `TestClient`.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Necessário se você quiser utilizar a configuração padrão de templates.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Necessário se você quiser suporte com <abbr title="converte uma string que chega de uma requisição HTTP para dados Python">"parsing"</abbr> de formulário, com `request.form()`.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - Necessário para suporte a `SessionMiddleware`.

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@ -0,0 +1,36 @@
# Formulários e Arquivos da Requisição
Você pode definir arquivos e campos de formulário ao mesmo tempo usando `File` e `Form`.
!!! info "Informação"
Para receber arquivos carregados e/ou dados de formulário, primeiro instale <a href="https://andrew-d.github.io/python-multipart/" class="external-link" target="_blank">`python-multipart`</a>.
Por exemplo: `pip install python-multipart`.
## Importe `File` e `Form`
```Python hl_lines="1"
{!../../../docs_src/request_forms_and_files/tutorial001.py!}
```
## Defina parâmetros de `File` e `Form`
Crie parâmetros de arquivo e formulário da mesma forma que você faria para `Body` ou `Query`:
```Python hl_lines="8"
{!../../../docs_src/request_forms_and_files/tutorial001.py!}
```
Os arquivos e campos de formulário serão carregados como dados de formulário e você receberá os arquivos e campos de formulário.
E você pode declarar alguns dos arquivos como `bytes` e alguns como `UploadFile`.
!!! warning "Aviso"
Você pode declarar vários parâmetros `File` e `Form` em uma *operação de caminho*, mas não é possível declarar campos `Body` para receber como JSON, pois a requisição terá o corpo codificado usando `multipart/form-data` ao invés de `application/json`.
Isso não é uma limitação do **FastAPI** , é parte do protocolo HTTP.
## Recapitulando
Usar `File` e `Form` juntos quando precisar receber dados e arquivos na mesma requisição.

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@ -75,6 +75,7 @@ nav:
- tutorial/header-params.md
- tutorial/response-status-code.md
- tutorial/request-forms.md
- tutorial/request-forms-and-files.md
- tutorial/handling-errors.md
- Segurança:
- tutorial/security/index.md
@ -86,6 +87,7 @@ nav:
- deployment/versions.md
- deployment/https.md
- deployment/deta.md
- deployment/docker.md
- alternatives.md
- history-design-future.md
- external-links.md

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@ -0,0 +1,21 @@
# Развёртывание - Введение
Развернуть приложение **FastAPI** довольно просто.
## Да что такое это ваше - "развёртывание"?!
Термин **развёртывание** (приложения) означает выполнение необходимых шагов, чтобы сделать приложение **доступным для пользователей**.
Обычно **веб-приложения** размещают на удалённом компьютере с серверной программой, которая обеспечивает хорошую производительность, стабильность и т. д., Чтобы ваши пользователи могли эффективно, беспрерывно и беспроблемно обращаться к приложению.
Это отличется от **разработки**, когда вы постоянно меняете код, делаете в нём намеренные ошибки и исправляете их, останавливаете и перезапускаете сервер разработки и т. д.
## Стратегии развёртывания
В зависимости от вашего конкретного случая, есть несколько способов сделать это.
Вы можете **развернуть сервер** самостоятельно, используя различные инструменты. Например, можно использовать **облачный сервис**, который выполнит часть работы за вас. Также возможны и другие варианты.
В этом блоке я покажу вам некоторые из основных концепций, которые вы, вероятно, должны иметь в виду при развертывании приложения **FastAPI** (хотя большинство из них применимо к любому другому типу веб-приложений).
В последующих разделах вы узнаете больше деталей и методов, необходимых для этого. ✨

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@ -169,7 +169,7 @@ FastAPI включает в себя чрезвычайно простую в и
* Поддержка **WebSocket**.
* Фоновые задачи для процессов.
* События запуска и выключения.
* Тестовый клиент построен на библиотеке `requests`.
* Тестовый клиент построен на библиотеке HTTPX.
* **CORS**, GZip, статические файлы, потоковые ответы.
* Поддержка **сессий и cookie**.
* 100% покрытие тестами.

View File

@ -424,7 +424,7 @@ item: Item
* **GraphQL** интеграция с <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> и другими библиотеками.
* Множество дополнительных функций (благодаря Starlette), таких как:
* **Веб-сокеты**
* очень простые тесты на основе `requests` и `pytest`
* очень простые тесты на основе HTTPX и `pytest`
* **CORS**
* **Cookie сеансы(сессии)**
* ...и многое другое.
@ -444,7 +444,7 @@ item: Item
Используется Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - Обязательно, если вы хотите использовать `TestClient`.
* <a href="https://www.python-httpx.org" target="_blank"><code>HTTPX</code></a> - Обязательно, если вы хотите использовать `TestClient`.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Обязательно, если вы хотите использовать конфигурацию шаблона по умолчанию.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Обязательно, если вы хотите поддерживать форму <abbr title="преобразование строки, полученной из HTTP-запроса, в данные Python">"парсинга"</abbr> с помощью `request.form()`.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - Обязательно, для поддержки `SessionMiddleware`.

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@ -59,13 +59,15 @@ nav:
- uk: /uk/
- zh: /zh/
- features.md
- fastapi-people.md
- python-types.md
- Учебник - руководство пользователя:
- tutorial/background-tasks.md
- external-links.md
- async.md
- Развёртывание:
- deployment/index.md
- deployment/versions.md
- external-links.md
markdown_extensions:
- toc:
permalink: true

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@ -426,7 +426,7 @@ For a more complete example including more features, see the <a href="https://fa
* Many extra features (thanks to Starlette) as:
* **WebSockets**
* **GraphQL**
* extremely easy tests based on `requests` and `pytest`
* extremely easy tests based on HTTPX and `pytest`
* **CORS**
* **Cookie Sessions**
* ...and more.
@ -446,7 +446,7 @@ Used by Pydantic:
Used by Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - Required if you want to use the `TestClient`.
* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Required if you want to use the `TestClient`.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Required if you want to use the default template configuration.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Required if you want to support form <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>, with `request.form()`.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - Required for `SessionMiddleware` support.

View File

@ -429,7 +429,7 @@ For a more complete example including more features, see the <a href="https://fa
* **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries.
* Many extra features (thanks to Starlette) as:
* **WebSockets**
* extremely easy tests based on `requests` and `pytest`
* extremely easy tests based on HTTPX and `pytest`
* **CORS**
* **Cookie Sessions**
* ...and more.
@ -449,7 +449,7 @@ Used by Pydantic:
Used by Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - Required if you want to use the `TestClient`.
* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Required if you want to use the `TestClient`.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Required if you want to use the default template configuration.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Required if you want to support form <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>, with `request.form()`.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - Required for `SessionMiddleware` support.

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@ -174,7 +174,7 @@ Bütün entegrasyonlar kullanımı kolay olmak üzere (zorunluluklar ile beraber
* **GraphQL** desteği.
* Kullanım halinde arka plan işlevleri.
* Başlatma ve kapatma eventleri(startup and shutdown).
* Test sunucusu `requests` üzerine kurulu.
* Test sunucusu HTTPX üzerine kurulu.
* **CORS**, GZip, Static dosyalar, Streaming responseları.
* **Session and Cookie** desteği.
* 100% test kapsayıcılığı.

View File

@ -434,7 +434,7 @@ Daha fazla örnek ve özellik için <a href="https://fastapi.tiangolo.com/tutori
* Diğer ekstra özellikler (Starlette sayesinde):
* **WebSockets**
* **GraphQL**
* `requests` ve `pytest` sayesinde aşırı kolay testler.
* HTTPX ve `pytest` sayesinde aşırı kolay testler.
* **CORS**
* **Cookie Sessions**
* ...ve daha fazlası.
@ -454,7 +454,7 @@ Pydantic tarafında kullanılan:
Starlette tarafında kullanılan:
* <a href="http://docs.python-requests.org" target="_blank"><code>requests</code></a> - Eğer `TestClient` kullanmak istiyorsan gerekli.
* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Eğer `TestClient` kullanmak istiyorsan gerekli.
* <a href="http://jinja.pocoo.org" target="_blank"><code>jinja2</code></a> - Eğer kendine ait template konfigürasyonu oluşturmak istiyorsan gerekli
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Form kullanmak istiyorsan gerekli <abbr title="HTTP bağlantısından gelen stringi Python objesine çevirmek için">("dönüşümü")</abbr>.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - `SessionMiddleware` desteği için gerekli.

View File

@ -426,7 +426,7 @@ For a more complete example including more features, see the <a href="https://fa
* Many extra features (thanks to Starlette) as:
* **WebSockets**
* **GraphQL**
* extremely easy tests based on `requests` and `pytest`
* extremely easy tests based on HTTPX and `pytest`
* **CORS**
* **Cookie Sessions**
* ...and more.
@ -446,7 +446,7 @@ Used by Pydantic:
Used by Starlette:
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - Required if you want to use the `TestClient`.
* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Required if you want to use the `TestClient`.
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - Required if you want to use the default template configuration.
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - Required if you want to support form <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>, with `request.form()`.
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - Required for `SessionMiddleware` support.

View File

@ -171,7 +171,7 @@ FastAPI 有一个使用非常简单,但是非常强大的<abbr title='也叫
* **支持 GraphQL**
* 后台任务处理。
* Startup 和 shutdown 事件。
* 测试客户端基于 `requests`
* 测试客户端基于 HTTPX
* **CORS**, GZip, 静态文件, 流响应。
* 支持 **Session 和 Cookie**
* 100% 测试覆盖率。

View File

@ -422,7 +422,7 @@ item: Item
* 许多额外功能(归功于 Starlette比如
* **WebSockets**
* **GraphQL**
* 基于 `requests``pytest` 的极其简单的测试
* 基于 HTTPX`pytest` 的极其简单的测试
* **CORS**
* **Cookie Sessions**
* ......以及更多
@ -442,7 +442,7 @@ item: Item
用于 Starlette
* <a href="https://requests.readthedocs.io" target="_blank"><code>requests</code></a> - 使用 `TestClient` 时安装。
* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - 使用 `TestClient` 时安装。
* <a href="https://jinja.palletsprojects.com" target="_blank"><code>jinja2</code></a> - 使用默认模板配置时安装。
* <a href="https://andrew-d.github.io/python-multipart/" target="_blank"><code>python-multipart</code></a> - 需要通过 `request.form()` 对表单进行<abbr title="将来自 HTTP 请求中的字符串转换为 Python 数据类型">「解析」</abbr>时安装。
* <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - 需要 `SessionMiddleware` 支持时安装。

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@ -194,7 +194,7 @@ John Doe
这表示:
* 变量 `items_t` 是一个 `tuple`,其中的每个元素都是 `int` 类型。
* 变量 `items_t` 是一个 `tuple`,其中的前两个元素都是 `int` 类型, 最后一个元素是 `str` 类型。
* 变量 `items_s` 是一个 `set`,其中的每个元素都是 `bytes` 类型。
#### 字典

View File

@ -1,34 +1,34 @@
# 使用(哈希)密码和 JWT Bearer 令牌的 OAuth2
# OAuth2 实现密码哈希与 Bearer JWT 令牌验证
既然我们已经有了所有的安全流程,就让我们来使用 <abbr title="JSON Web Tokens">JWT</abbr> 令牌和安全哈希密码让应用程序真正地安全吧
至此,我们已经编写了所有安全流,本章学习如何使用 <abbr title="JSON Web Tokens">JWT</abbr> 令牌Token和安全密码哈希Hash实现真正的安全机制
你可以在应用程序中真正地使用这些代码,在数据库中保存密码哈希值,等等
本章的示例代码真正实现了在应用的数据库中保存哈希密码等功能
我们将从上一章结束的位置开始,然后对示例进行扩充
接下来,我们紧接上一章,继续完善安全机制
## 关于 JWT
## JWT 简介
JWT 表示 「JSON Web Tokens」
JWT 即**JSON 网络令牌**JSON Web Tokens
它是一个将 JSON 对象编码为密集且没有空格的长字符串的标准。字符串看起来像这样
JWT 是一种将 JSON 对象编码为没有空格且难以理解的长字符串的标准。JWT 的内容如下所示
```
eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c
```
它没有被加密,因此任何人都可以从字符串内容中还原数据
JWT 字符串没有加密,任何人都能用它恢复原始信息
它经过了签名。因此,当你收到一个由你发出的令牌时,可以校验令牌是否真的由你发出
JWT 使用了签名机制。接受令牌时,可以用签名校验令牌
通过这种方式,你可以创建一个有效期为 1 周的令牌。然后当用户第二天使用令牌重新访问时,你知道该用户仍然处于登入状态。
使用 JWT 创建有效期为一周的令牌。第二天,用户持令牌再次访问时,仍为登录状态。
一周后令牌将会过期,用户将不会通过认证,必须再次登录才能获得一个新令牌。而且如果用户(或第三方)试图修改令牌以篡改过期时间,你将因为签名不匹配而能够发觉
令牌于一周后过期,届时,用户身份验证就会失败。只有再次登录,才能获得新的令牌。如果用户(或第三方)篡改令牌的过期时间,因为签名不匹配会导致身份验证失败
果你想上手体验 JWT 令牌并了解其工作方式,可访问 <a href="https://jwt.io/" class="external-link" target="_blank">https://jwt.io</a>
需深入了解 JWT 令牌,了解它的工作方式,请参阅 <a href="https://jwt.io/" class="external-link" target="_blank">https://jwt.io</a>
## 安装 `python-jose`
我们需要安装 `python-jose`在 Python 中生成和校验 JWT 令牌:
安装 `python-jose`在 Python 中生成和校验 JWT 令牌:
<div class="termy">
@ -40,38 +40,39 @@ $ pip install python-jose[cryptography]
</div>
<a href="https://github.com/mpdavis/python-jose" class="external-link" target="_blank">Python-jose</a> 需要一个额外的加密后端。
<a href="https://github.com/mpdavis/python-jose" class="external-link" target="_blank">Python-jose</a> 需要安装配套的加密后端。
这里我们使用的是推荐的后端<a href="https://cryptography.io/" class="external-link" target="_blank">pyca/cryptography</a>
本教程推荐的后端是<a href="https://cryptography.io/" class="external-link" target="_blank">pyca/cryptography</a>
!!! tip
本教程曾经使用过 <a href="https://pyjwt.readthedocs.io/" class="external-link" target="_blank">PyJWT</a>
!!! tip "提示"
但是后来更新为使用 Python-jose因为它提供了 PyJWT 的所有功能,以及之后与其他工具进行集成时你可能需要的一些其他功能
本教程以前使用 <a href="https://pyjwt.readthedocs.io/" class="external-link" target="_blank">PyJWT</a>
## 哈希密码
但后来换成了 Python-jose因为 Python-jose 支持 PyJWT 的所有功能,还支持与其它工具集成时可能会用到的一些其它功能。
「哈希」的意思是:将某些内容(在本例中为密码)转换为看起来像乱码的字节序列(只是一个字符串)。
## 密码哈希
每次你传入完全相同的内容(完全相同的密码)时,你都会得到完全相同的乱码
**哈希**是指把特定内容(本例中为密码)转换为乱码形式的字节序列(其实就是字符串)
但是你不能从乱码转换回密码。
每次传入完全相同的内容时(比如,完全相同的密码),返回的都是完全相同的乱码。
### 为什么使用哈希密码
但这个乱码无法转换回传入的密码。
如果你的数据库被盗,小偷将无法获得用户的明文密码,只能拿到哈希值。
### 为什么使用密码哈希
因此,小偷将无法尝试在另一个系统中使用这些相同的密码(由于许多用户在任何地方都使用相同的密码,因此这很危险)。
原因很简单,假如数据库被盗,窃贼无法获取用户的明文密码,得到的只是哈希值。
这样一来,窃贼就无法在其它应用中使用窃取的密码,要知道,很多用户在所有系统中都使用相同的密码,风险超大)。
## 安装 `passlib`
PassLib 是一个用于处理哈希密码的很棒的 Python 包。
Passlib 是处理密码哈希的 Python 包。
它支持许多安全哈希算法以及配合算法使用的实用程序
它支持很多安全哈希算法及配套工具
推荐的算法是 「Bcrypt」
本教程推荐的算法是 **Bcrypt**
因此,安装附带 Bcrypt 的 PassLib
因此,请先安装附带 Bcrypt 的 PassLib
<div class="termy">
@ -83,46 +84,49 @@ $ pip install passlib[bcrypt]
</div>
!!! tip
使用 `passlib`,你甚至可以将其配置为能够读取 DjangoFlask 的安全扩展或许多其他工具创建的密码。
!!! tip "提示"
因此,你将能够,举个例子,将数据库中来自 Django 应用的数据共享给一个 FastAPI 应用。或者使用同一数据库但逐渐将应用从 Django 迁移到 FastAPI
`passlib` 甚至可以读取 Django、Flask 的安全插件等工具创建的密码
而你的用户将能够同时从 Django 应用或 FastAPI 应用登录
例如,把 Django 应用的数据共享给 FastAPI 应用的数据库。或利用同一个数据库,可以逐步把应用从 Django 迁移到 FastAPI
## 哈希并校验密码
并且,用户可以同时从 Django 应用或 FastAPI 应用登录。
`passlib` 导入我们需要的工具。
## 密码哈希与校验
创建一个 PassLib 「上下文」。这将用于哈希和校验密码
`passlib` 导入所需工具
!!! tip
PassLib 上下文还具有使用不同哈希算法的功能,包括仅允许用于校验的已弃用的旧算法等。
创建用于密码哈希和身份校验的 PassLib **上下文**
例如你可以使用它来读取和校验由另一个系统例如Django生成的密码但是使用其他算法例如 Bcrypt 生成新的密码哈希值。
!!! tip "提示"
并同时兼容所有的这些功能
PassLib 上下文还支持使用不同哈希算法的功能,包括只能校验的已弃用旧算法等
创建一个工具函数以哈希来自用户的密码。
例如,用它读取和校验其它系统(如 Django生成的密码但要使用其它算法如 Bcrypt生成新的哈希密码。
然后创建另一个工具函数,用于校验接收的密码是否与存储的哈希值匹配
同时,这些功能都是兼容的
再创建另一个工具函数用于认证并返回用户。
接下来,创建三个工具函数,其中一个函数用于哈希用户的密码。
第一个函数用于校验接收的密码是否匹配存储的哈希值。
第三个函数用于身份验证,并返回用户。
```Python hl_lines="7 48 55-56 59-60 69-75"
{!../../../docs_src/security/tutorial004.py!}
```
!!! note
如果你查看新的(伪)数据库 `fake_users_db`,你将看到哈希后的密码现在的样子:`"$2b$12$EixZaYVK1fsbw1ZfbX3OXePaWxn96p36WQoeG6Lruj3vjPGga31lW"`。
!!! note "笔记"
查看新的(伪)数据库 `fake_users_db`,就能看到哈希后的密码:`"$2b$12$EixZaYVK1fsbw1ZfbX3OXePaWxn96p36WQoeG6Lruj3vjPGga31lW"`。
## 处理 JWT 令牌
导入已安装的模块。
创建一个随机密钥,该密钥将用于 JWT 令牌进行签名。
创建用于 JWT 令牌签名的随机密钥
要生成一个安全的随机密钥,可使用以下命令
使用以下命令,生成安全的随机密钥
<div class="termy">
@ -134,15 +138,15 @@ $ openssl rand -hex 32
</div>
然后将输出复制到变量 「SECRET_KEY」 中(不要使用示例中的这个)
然后,把生成的密钥复制到变量**SECRET_KEY**,注意,不要使用本例所示的密钥
创建用于设定 JWT 令牌签名算法的变量 「ALGORITHM」并将其设置`"HS256"`
创建指定 JWT 令牌签名算法的变量 **ALGORITHM**,本例中的值`"HS256"`
创建一个设置令牌过期时间的变量。
创建设置令牌过期时间的变量。
定义一个将在令牌端点中用于响应的 Pydantic 模型。
定义令牌端点响应的 Pydantic 模型。
创建一个生成新的访问令牌的工具函数。
创建生成新的访问令牌的工具函数。
```Python hl_lines="6 12-14 28-30 78-86"
{!../../../docs_src/security/tutorial004.py!}
@ -150,11 +154,11 @@ $ openssl rand -hex 32
## 更新依赖项
更新 `get_current_user` 以接收与之前相同的令牌,但这次使用的是 JWT 令牌。
更新 `get_current_user` 以接收与之前相同的令牌,但这用的是 JWT 令牌。
解码接收到的令牌,对其进行校验,然后返回当前用户。
解码并校验接收到的令牌,然后返回当前用户。
如果令牌无效,立即返回一个 HTTP 错误。
如果令牌无效,则直接返回 HTTP 错误。
```Python hl_lines="89-106"
{!../../../docs_src/security/tutorial004.py!}
@ -162,57 +166,57 @@ $ openssl rand -hex 32
## 更新 `/token` *路径操作*
使用令牌过期时间创建一个 `timedelta` 对象。
用令牌过期时间创建 `timedelta` 对象。
创建一个真实的 JWT 访问令牌并返回它
创建并返回真正的 JWT 访问令牌
```Python hl_lines="115-128"
{!../../../docs_src/security/tutorial004.py!}
```
### 关于 JWT 「主题」 `sub` 的技术细节
### JWT `sub` 的技术细节
JWT 的规范中提到有一个 `sub` 键,值为该令牌的主题。
JWT 规范还包括 `sub` 键,值是令牌的主题。
使用它并不是必须的,但这是你放置用户标识的地方,所以我们在示例中使用了它
该键是可选的,但要把用户标识放在这个键里,所以本例使用了该键
除了识别用户并允许他们直接在你的 API 上执行操作之外JWT 还可以用于其他事情。
除了识别用户与许可用户在 API 上直接执行操作之外JWT 还可能用于其它事情。
例如,你可以识别一个 「汽车」 或 「博客文章」
例如,识别**汽车**或**博客**
然后你可以添加关于该实体的权限,比如「驾驶」(汽车)或「编辑」(博客)。
接着,为实体添加权限,比如**驾驶**(汽车)或**编辑**(博客)。
然后,你可以将 JWT 令牌交给用户(或机器人),他们可以使用它来执行这些操作(驾驶汽车,或编辑博客文章),甚至不需要有一个账户,只需使用你的 API 为其生成的 JWT 令牌
然后,把 JWT 令牌交给用户(或机器人),他们就可以执行驾驶汽车,或编辑博客等操作。无需注册账户,只要有 API 生成的 JWT 令牌就可以
使用这样的思路JWT 可以用于更复杂的场景。
同理JWT 可以用于更复杂的场景。
在这些情况下,几个实体可能有相同的 ID比如说 `foo`(一个用户 `foo`,一辆车 `foo`,一篇博客文章 `foo`
在这些情况下,多个实体的 ID 可能是相同的,以 ID `foo` 为例,用户的 ID 是 `foo`,车的 ID 是 `foo`,博客的 ID 也是 `foo`
因此,为了避免 ID 冲突,当为用户创建 JWT 令牌时,你可以在 `sub` 键的值前加上前缀,例如 `username:`。所以,在这个例子中,`sub` 的值可以是:`username:johndoe`。
为了避免 ID 冲突,在给用户创建 JWT 令牌时,可以为 `sub` 键的值加上前缀,例如 `username:`。因此,在本例中,`sub` 的值可以是:`username:johndoe`。
要记住的重点是,`sub` 键在整个应用程序中应该有一个唯一的标识符,而且应该是一个字符串。
注意,划重点,`sub` 键在整个应用中应该只有一个唯一的标识符,而且应该是字符串。
## 检查效果
## 检查
运行服务器并访问文档: <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>
你会看到如下用户界面:
可以看到如下用户界面:
<img src="https://fastapi.tiangolo.com/img/tutorial/security/image07.png">
像以前一样对应用程序进行认证
用与上一章同样的方式实现应用授权
使用如下凭证:
用户名: `johndoe`
密码: `secret`
用户名: `johndoe` 密码: `secret`
!!! check
请注意,代码中没有任何地方记录了明文密码 「`secret`」,我们只保存了其哈希值。
!!! check "检查"
注意,代码中没有明文密码**`secret`**,只保存了它的哈希值。
<img src="https://fastapi.tiangolo.com/img/tutorial/security/image08.png">
访问 `/users/me/` 端点,你将获得如下响应:
调用 `/users/me/` 端点,收到下面的响应:
```JSON
{
@ -225,41 +229,42 @@ JWT 的规范中提到有一个 `sub` 键,值为该令牌的主题。
<img src="https://fastapi.tiangolo.com/img/tutorial/security/image09.png">
如果你打开开发者工具,将看到数据是如何发送的并且其中仅包含了令牌,只有在第一个请求中发送了密码以校验用户身份并获取该访问令牌,但之后都不会再发送密码:
打开浏览器的开发者工具,查看数据是怎么发送的,而且数据里只包含了令牌,只有验证用户的第一个请求才发送密码,并获取访问令牌,但之后不会再发送密码:
<img src="https://fastapi.tiangolo.com/img/tutorial/security/image10.png">
!!! note
注意请求中的 `Authorization` 首部,其值以 `Bearer` 开头。
!!! note "笔记"
## 使用 `scopes` 的进阶用法
注意,请求中 `Authorization` 响应头的值以 `Bearer` 开头。
OAuth2 具有「作用域」的概念。
## `scopes` 高级用法
你可以使用它们向 JWT 令牌添加一组特定的权限
OAuth2 支持**`scopes`**(作用域)
然后,你可以将此令牌直接提供给用户或第三方,使其在一些限制下与你的 API 进行交互
**`scopes`**为 JWT 令牌添加指定权限
你可以在之后的**进阶用户指南**中了解如何使用它们以及如何将它们集成到 **FastAPI**
让持有令牌的用户或第三方在指定限制条件下与 API 交互
## 总结
**高级用户指南**中将介绍如何使用 `scopes`,及如何把 `scopes` 集成至 **FastAPI**
通过目前你所看到的,你可以使用像 OAuth2 和 JWT 这样的标准来构建一个安全的 **FastAPI** 应用程序。
## 小结
在几乎所有的框架中,处理安全性问题都很容易成为一个相当复杂的话题
至此,您可以使用 OAuth2 和 JWT 等标准配置安全的 **FastAPI** 应用
许多高度简化了安全流程的软件包不得不在数据模型、数据库和可用功能上做出很多妥协。而这些过于简化流程的软件包中,有些其实隐含了安全漏洞。
几乎在所有框架中,处理安全问题很快都会变得非常复杂。
有些包为了简化安全流,不得不在数据模型、数据库和功能上做出妥协。而有些过于简化的软件包其实存在了安全隐患。
---
**FastAPI** 不对任何数据库、数据模型或工具做任何妥协。
**FastAPI** 不向任何数据库、数据模型或工具做妥协。
它给了你所有的灵活性来选择最适合你项目的前者
开发者可以灵活选择最适合项目的安全机制
你可以直接使用许多维护良好且使用广泛的包,如 `passlib``python-jose`,因为 **FastAPI** 不需要任何复杂的机制来集成外部包。
还可以直接使用 `passlib``python-jose` 等维护良好、使用广泛的包,这是因为 **FastAPI** 不需要任何复杂机制,就能集成外部的包。
但它为你提供了一些工具,在不影响灵活性、健壮性和安全性的前提下,尽可能地简化这个过程
而且,**FastAPI** 还提供了一些工具,在不影响灵活、稳定和安全的前提下,尽可能地简化安全机制
而且你可以用相对简单的方式使用和实现安全、标准的协议,比如 OAuth2
**FastAPI** 还支持以相对简单的方式,使用 OAuth2 等安全、标准的协议
你可以在**进阶用户指南**中了解更多关于如何使用 OAuth2 「作用域」的信息,以实现更精细的权限系统,并同样遵循这些标准。带有作用域的 OAuth2 是很多大的认证提供商使用的机制,比如 Facebook、Google、GitHub、微软、Twitter 等,授权第三方应用代表用户与他们的 API 进行交互。
**高级用户指南**中详细介绍了 OAuth2**`scopes`**的内容遵循同样的标准实现更精密的权限系统。OAuth2 的作用域是脸书、谷歌、GitHub、微软、推特等第三方身份验证应用使用的机制让用户授权第三方应用与 API 交互。

View File

@ -107,7 +107,7 @@ async def get_current_user(
if security_scopes.scopes:
authenticate_value = f'Bearer scope="{security_scopes.scope_str}"'
else:
authenticate_value = f"Bearer"
authenticate_value = "Bearer"
credentials_exception = HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Could not validate credentials",

View File

@ -106,7 +106,7 @@ async def get_current_user(
if security_scopes.scopes:
authenticate_value = f'Bearer scope="{security_scopes.scope_str}"'
else:
authenticate_value = f"Bearer"
authenticate_value = "Bearer"
credentials_exception = HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Could not validate credentials",

View File

@ -107,7 +107,7 @@ async def get_current_user(
if security_scopes.scopes:
authenticate_value = f'Bearer scope="{security_scopes.scope_str}"'
else:
authenticate_value = f"Bearer"
authenticate_value = "Bearer"
credentials_exception = HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Could not validate credentials",

View File

@ -1,6 +1,14 @@
from typing import Union
from fastapi import Cookie, Depends, FastAPI, Query, WebSocket, status
from fastapi import (
Cookie,
Depends,
FastAPI,
Query,
WebSocket,
WebSocketException,
status,
)
from fastapi.responses import HTMLResponse
app = FastAPI()
@ -61,7 +69,7 @@ async def get_cookie_or_token(
token: Union[str, None] = Query(default=None),
):
if session is None and token is None:
await websocket.close(code=status.WS_1008_POLICY_VIOLATION)
raise WebSocketException(code=status.WS_1008_POLICY_VIOLATION)
return session or token

View File

@ -1,6 +1,6 @@
"""FastAPI framework, high performance, easy to learn, fast to code, ready for production"""
__version__ = "0.85.2"
__version__ = "0.88.0"
from starlette import status as status
@ -8,6 +8,7 @@ from .applications import FastAPI as FastAPI
from .background import BackgroundTasks as BackgroundTasks
from .datastructures import UploadFile as UploadFile
from .exceptions import HTTPException as HTTPException
from .exceptions import WebSocketException as WebSocketException
from .param_functions import Body as Body
from .param_functions import Cookie as Cookie
from .param_functions import Depends as Depends

View File

@ -105,10 +105,10 @@ def check_file_field(field: ModelField) -> None:
assert parse_options_header
except ImportError:
logger.error(multipart_incorrect_install_error)
raise RuntimeError(multipart_incorrect_install_error)
raise RuntimeError(multipart_incorrect_install_error) from None
except ImportError:
logger.error(multipart_not_installed_error)
raise RuntimeError(multipart_not_installed_error)
raise RuntimeError(multipart_not_installed_error) from None
def get_param_sub_dependant(
@ -426,21 +426,21 @@ def is_coroutine_callable(call: Callable[..., Any]) -> bool:
return inspect.iscoroutinefunction(call)
if inspect.isclass(call):
return False
dunder_call = getattr(call, "__call__", None)
dunder_call = getattr(call, "__call__", None) # noqa: B004
return inspect.iscoroutinefunction(dunder_call)
def is_async_gen_callable(call: Callable[..., Any]) -> bool:
if inspect.isasyncgenfunction(call):
return True
dunder_call = getattr(call, "__call__", None)
dunder_call = getattr(call, "__call__", None) # noqa: B004
return inspect.isasyncgenfunction(dunder_call)
def is_gen_callable(call: Callable[..., Any]) -> bool:
if inspect.isgeneratorfunction(call):
return True
dunder_call = getattr(call, "__call__", None)
dunder_call = getattr(call, "__call__", None) # noqa: B004
return inspect.isgeneratorfunction(dunder_call)
@ -724,14 +724,14 @@ def get_body_field(*, dependant: Dependant, name: str) -> Optional[ModelField]:
# in case a sub-dependency is evaluated with a single unique body field
# That is combined (embedded) with other body fields
for param in flat_dependant.body_params:
setattr(param.field_info, "embed", True)
setattr(param.field_info, "embed", True) # noqa: B010
model_name = "Body_" + name
BodyModel: Type[BaseModel] = create_model(model_name)
for f in flat_dependant.body_params:
BodyModel.__fields__[f.name] = f
required = any(True for f in flat_dependant.body_params if f.required)
BodyFieldInfo_kwargs: Dict[str, Any] = dict(default=None)
BodyFieldInfo_kwargs: Dict[str, Any] = {"default": None}
if any(isinstance(f.field_info, params.File) for f in flat_dependant.body_params):
BodyFieldInfo: Type[params.Body] = params.File
elif any(isinstance(f.field_info, params.Form) for f in flat_dependant.body_params):
@ -740,7 +740,7 @@ def get_body_field(*, dependant: Dependant, name: str) -> Optional[ModelField]:
BodyFieldInfo = params.Body
body_param_media_types = [
getattr(f.field_info, "media_type")
f.field_info.media_type
for f in flat_dependant.body_params
if isinstance(f.field_info, params.Body)
]

View File

@ -157,7 +157,7 @@ def jsonable_encoder(
data = vars(obj)
except Exception as e:
errors.append(e)
raise ValueError(errors)
raise ValueError(errors) from e
return jsonable_encoder(
data,
include=include,

View File

@ -3,6 +3,7 @@ from typing import Any, Dict, Optional, Sequence, Type
from pydantic import BaseModel, ValidationError, create_model
from pydantic.error_wrappers import ErrorList
from starlette.exceptions import HTTPException as StarletteHTTPException
from starlette.exceptions import WebSocketException as WebSocketException # noqa: F401
class HTTPException(StarletteHTTPException):

View File

@ -3,6 +3,7 @@ import dataclasses
import email.message
import inspect
import json
from contextlib import AsyncExitStack
from enum import Enum, IntEnum
from typing import (
Any,
@ -190,6 +191,9 @@ def get_request_handler(
if body_field:
if is_body_form:
body = await request.form()
stack = request.scope.get("fastapi_astack")
assert isinstance(stack, AsyncExitStack)
stack.push_async_callback(body.close)
else:
body_bytes = await request.body()
if body_bytes:
@ -697,7 +701,7 @@ class APIRouter(routing.Router):
), "A path prefix must not end with '/', as the routes will start with '/'"
else:
for r in router.routes:
path = getattr(r, "path")
path = getattr(r, "path") # noqa: B009
name = getattr(r, "name", "unknown")
if path is not None and not path:
raise Exception(

View File

@ -54,7 +54,7 @@ class APIKeyHeader(APIKeyBase):
self.auto_error = auto_error
async def __call__(self, request: Request) -> Optional[str]:
api_key: str = request.headers.get(self.model.name)
api_key = request.headers.get(self.model.name)
if not api_key:
if self.auto_error:
raise HTTPException(

View File

@ -38,7 +38,7 @@ class HTTPBase(SecurityBase):
async def __call__(
self, request: Request
) -> Optional[HTTPAuthorizationCredentials]:
authorization: str = request.headers.get("Authorization")
authorization = request.headers.get("Authorization")
scheme, credentials = get_authorization_scheme_param(authorization)
if not (authorization and scheme and credentials):
if self.auto_error:
@ -67,7 +67,7 @@ class HTTPBasic(HTTPBase):
async def __call__( # type: ignore
self, request: Request
) -> Optional[HTTPBasicCredentials]:
authorization: str = request.headers.get("Authorization")
authorization = request.headers.get("Authorization")
scheme, param = get_authorization_scheme_param(authorization)
if self.realm:
unauthorized_headers = {"WWW-Authenticate": f'Basic realm="{self.realm}"'}
@ -113,7 +113,7 @@ class HTTPBearer(HTTPBase):
async def __call__(
self, request: Request
) -> Optional[HTTPAuthorizationCredentials]:
authorization: str = request.headers.get("Authorization")
authorization = request.headers.get("Authorization")
scheme, credentials = get_authorization_scheme_param(authorization)
if not (authorization and scheme and credentials):
if self.auto_error:
@ -148,7 +148,7 @@ class HTTPDigest(HTTPBase):
async def __call__(
self, request: Request
) -> Optional[HTTPAuthorizationCredentials]:
authorization: str = request.headers.get("Authorization")
authorization = request.headers.get("Authorization")
scheme, credentials = get_authorization_scheme_param(authorization)
if not (authorization and scheme and credentials):
if self.auto_error:

View File

@ -126,7 +126,7 @@ class OAuth2(SecurityBase):
self.auto_error = auto_error
async def __call__(self, request: Request) -> Optional[str]:
authorization: str = request.headers.get("Authorization")
authorization = request.headers.get("Authorization")
if not authorization:
if self.auto_error:
raise HTTPException(
@ -157,7 +157,7 @@ class OAuth2PasswordBearer(OAuth2):
)
async def __call__(self, request: Request) -> Optional[str]:
authorization: str = request.headers.get("Authorization")
authorization = request.headers.get("Authorization")
scheme, param = get_authorization_scheme_param(authorization)
if not authorization or scheme.lower() != "bearer":
if self.auto_error:
@ -200,7 +200,7 @@ class OAuth2AuthorizationCodeBearer(OAuth2):
)
async def __call__(self, request: Request) -> Optional[str]:
authorization: str = request.headers.get("Authorization")
authorization = request.headers.get("Authorization")
scheme, param = get_authorization_scheme_param(authorization)
if not authorization or scheme.lower() != "bearer":
if self.auto_error:

View File

@ -23,7 +23,7 @@ class OpenIdConnect(SecurityBase):
self.auto_error = auto_error
async def __call__(self, request: Request) -> Optional[str]:
authorization: str = request.headers.get("Authorization")
authorization = request.headers.get("Authorization")
if not authorization:
if self.auto_error:
raise HTTPException(

View File

@ -1,7 +1,9 @@
from typing import Tuple
from typing import Optional, Tuple
def get_authorization_scheme_param(authorization_header_value: str) -> Tuple[str, str]:
def get_authorization_scheme_param(
authorization_header_value: Optional[str],
) -> Tuple[str, str]:
if not authorization_header_value:
return "", ""
scheme, _, param = authorization_header_value.partition(" ")

View File

@ -89,7 +89,7 @@ def create_response_field(
except RuntimeError:
raise fastapi.exceptions.FastAPIError(
f"Invalid args for response field! Hint: check that {type_} is a valid pydantic field type"
)
) from None
def create_cloned_field(

View File

@ -34,11 +34,12 @@ classifiers = [
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Internet :: WWW/HTTP :: HTTP Servers",
"Topic :: Internet :: WWW/HTTP",
]
dependencies = [
"starlette==0.20.4",
"starlette==0.22.0",
"pydantic >=1.6.2,!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,<2.0.0",
]
dynamic = ["version"]
@ -50,12 +51,11 @@ Documentation = "https://fastapi.tiangolo.com/"
[project.optional-dependencies]
test = [
"pytest >=7.1.3,<8.0.0",
"pytest-cov >=2.12.0,<5.0.0",
"coverage[toml] >= 6.5.0,<7.0",
"mypy ==0.982",
"flake8 >=3.8.3,<6.0.0",
"black == 22.8.0",
"ruff ==0.0.138",
"black == 22.10.0",
"isort >=5.0.6,<6.0.0",
"requests >=2.24.0,<3.0.0",
"httpx >=0.23.0,<0.24.0",
"email_validator >=1.1.1,<2.0.0",
# TODO: once removing databases from tutorial, upgrade SQLAlchemy
@ -83,25 +83,24 @@ doc = [
"mkdocs-markdownextradata-plugin >=0.1.7,<0.3.0",
# TODO: upgrade and enable typer-cli once it supports Click 8.x.x
# "typer-cli >=0.0.12,<0.0.13",
"typer[all] >=0.6.1,<0.7.0",
"typer[all] >=0.6.1,<0.8.0",
"pyyaml >=5.3.1,<7.0.0",
]
dev = [
"autoflake >=1.4.0,<2.0.0",
"flake8 >=3.8.3,<6.0.0",
"ruff ==0.0.138",
"uvicorn[standard] >=0.12.0,<0.19.0",
"pre-commit >=2.17.0,<3.0.0",
]
all = [
"requests >=2.24.0,<3.0.0",
"jinja2 >=2.11.2,<4.0.0",
"python-multipart >=0.0.5,<0.0.6",
"itsdangerous >=1.1.0,<3.0.0",
"pyyaml >=5.3.1,<7.0.0",
"ujson >=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0,<6.0.0",
"orjson >=3.2.1,<4.0.0",
"email_validator >=1.1.1,<2.0.0",
"uvicorn[standard] >=0.12.0,<0.19.0",
"httpx >=0.23.0",
"jinja2 >=2.11.2",
"python-multipart >=0.0.5",
"itsdangerous >=1.1.0",
"pyyaml >=5.3.1",
"ujson >=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0",
"orjson >=3.2.1",
"email_validator >=1.1.1",
"uvicorn[standard] >=0.12.0",
]
[tool.hatch.version]
@ -136,9 +135,52 @@ filterwarnings = [
# TODO: needed by asyncio in Python 3.9.7 https://bugs.python.org/issue45097, try to remove on 3.9.8
'ignore:The loop argument is deprecated since Python 3\.8, and scheduled for removal in Python 3\.10:DeprecationWarning:asyncio',
'ignore:starlette.middleware.wsgi is deprecated and will be removed in a future release\..*:DeprecationWarning:starlette',
# TODO: remove after upgrading HTTPX to a version newer than 0.23.0
# Including PR: https://github.com/encode/httpx/pull/2309
"ignore:'cgi' is deprecated:DeprecationWarning",
# For passlib
"ignore:'crypt' is deprecated and slated for removal in Python 3.13:DeprecationWarning",
# see https://trio.readthedocs.io/en/stable/history.html#trio-0-22-0-2022-09-28
"ignore:You seem to already have a custom.*:RuntimeWarning:trio",
"ignore::trio.TrioDeprecationWarning",
# TODO remove pytest-cov
'ignore::pytest.PytestDeprecationWarning:pytest_cov',
]
[tool.coverage.run]
parallel = true
source = [
"docs_src",
"tests",
"fastapi"
]
context = '${CONTEXT}'
[tool.ruff]
select = [
"E", # pycodestyle errors
"W", # pycodestyle warnings
"F", # pyflakes
# "I", # isort
"C", # flake8-comprehensions
"B", # flake8-bugbear
]
ignore = [
"E501", # line too long, handled by black
"B008", # do not perform function calls in argument defaults
"C901", # too complex
]
[tool.ruff.per-file-ignores]
"__init__.py" = ["F401"]
"docs_src/dependencies/tutorial007.py" = ["F821"]
"docs_src/dependencies/tutorial008.py" = ["F821"]
"docs_src/dependencies/tutorial009.py" = ["F821"]
"docs_src/dependencies/tutorial010.py" = ["F821"]
"docs_src/custom_response/tutorial007.py" = ["B007"]
"docs_src/dataclasses/tutorial003.py" = ["I001"]
"docs_src/path_operation_advanced_configuration/tutorial007.py" = ["B904"]
"docs_src/custom_request_and_route/tutorial002.py" = ["B904"]
[tool.ruff.isort]
known-third-party = ["fastapi", "pydantic", "starlette"]

View File

@ -284,7 +284,9 @@ def build_all():
continue
langs.append(lang.name)
cpu_count = os.cpu_count() or 1
with Pool(cpu_count * 2) as p:
process_pool_size = cpu_count * 4
typer.echo(f"Using process pool size: {process_pool_size}")
with Pool(process_pool_size) as p:
p.map(build_lang, langs)
@ -332,7 +334,7 @@ def serve():
os.chdir("site")
server_address = ("", 8008)
server = HTTPServer(server_address, SimpleHTTPRequestHandler)
typer.echo(f"Serving at: http://127.0.0.1:8008")
typer.echo("Serving at: http://127.0.0.1:8008")
server.serve_forever()
@ -420,7 +422,7 @@ def get_file_to_nav_map(nav: list) -> Dict[str, Tuple[str, ...]]:
file_to_nav = {}
for item in nav:
if type(item) is str:
file_to_nav[item] = tuple()
file_to_nav[item] = ()
elif type(item) is dict:
item_key = list(item.keys())[0]
sub_nav = item[item_key]

View File

@ -1,6 +1,6 @@
#!/bin/sh -e
set -x
autoflake --remove-all-unused-imports --recursive --remove-unused-variables --in-place docs_src fastapi tests scripts --exclude=__init__.py
ruff fastapi tests docs_src scripts --fix
black fastapi tests docs_src scripts
isort fastapi tests docs_src scripts

View File

@ -4,6 +4,6 @@ set -e
set -x
mypy fastapi
flake8 fastapi tests
ruff fastapi tests docs_src scripts
black fastapi tests --check
isort fastapi tests docs_src scripts --check-only

View File

@ -3,4 +3,7 @@
set -e
set -x
bash scripts/test.sh --cov-report=html ${@}
bash scripts/test.sh ${@}
coverage combine
coverage report --show-missing
coverage html

View File

@ -6,4 +6,4 @@ set -x
# Check README.md is up to date
python ./scripts/docs.py verify-readme
export PYTHONPATH=./docs_src
pytest --cov=fastapi --cov=tests --cov=docs_src --cov-report=term-missing:skip-covered --cov-report=xml tests ${@}
coverage run -m pytest tests ${@}

View File

@ -3,7 +3,9 @@
set -x
set -e
cd ./site
if [ -f docs.zip ]; then
rm -rf docs.zip
fi
zip -r docs.zip ./site
zip -r docs.zip ./

View File

@ -110,6 +110,6 @@ def test_route_classes():
for r in app.router.routes:
assert isinstance(r, Route)
routes[r.path] = r
assert getattr(routes["/a/"], "x_type") == "A"
assert getattr(routes["/a/b/"], "x_type") == "B"
assert getattr(routes["/a/b/c/"], "x_type") == "C"
assert getattr(routes["/a/"], "x_type") == "A" # noqa: B009
assert getattr(routes["/a/b/"], "x_type") == "B" # noqa: B009
assert getattr(routes["/a/b/c/"], "x_type") == "C" # noqa: B009

View File

@ -1,6 +1,10 @@
from pathlib import Path
from typing import List
import pytest
from fastapi import UploadFile
from fastapi import FastAPI, UploadFile
from fastapi.datastructures import Default
from fastapi.testclient import TestClient
def test_upload_file_invalid():
@ -20,3 +24,25 @@ def test_default_placeholder_bool():
placeholder_b = Default("")
assert placeholder_a
assert not placeholder_b
def test_upload_file_is_closed(tmp_path: Path):
path = tmp_path / "test.txt"
path.write_bytes(b"<file content>")
app = FastAPI()
testing_file_store: List[UploadFile] = []
@app.post("/uploadfile/")
def create_upload_file(file: UploadFile):
testing_file_store.append(file)
return {"filename": file.filename}
client = TestClient(app)
with path.open("rb") as file:
response = client.post("/uploadfile/", files={"file": file})
assert response.status_code == 200, response.text
assert response.json() == {"filename": "test.txt"}
assert testing_file_store
assert testing_file_store[0].file.closed

View File

@ -101,7 +101,7 @@ def test_schema():
def test_get_invalid():
response = client.get("/foo", params={"client_id": None})
response = client.get("/foo")
assert response.status_code == status.HTTP_422_UNPROCESSABLE_ENTITY

View File

@ -333,7 +333,7 @@ def test_get_api_route_not_decorated():
def test_delete():
response = client.delete("/items/foo", json={"name": "Foo"})
response = client.request("DELETE", "/items/foo", json={"name": "Foo"})
assert response.status_code == 200, response.text
assert response.json() == {"item_id": "foo", "item": {"name": "Foo", "price": None}}

View File

@ -104,5 +104,5 @@ def test_openapi_schema():
def test_get_with_body():
body = {"name": "Foo", "description": "Some description", "price": 5.5}
response = client.get("/product", json=body)
response = client.request("GET", "/product", json=body)
assert response.json() == body

View File

@ -33,8 +33,6 @@ async def hidden_query(
return {"hidden_query": hidden_query}
client = TestClient(app)
openapi_shema = {
"openapi": "3.0.2",
"info": {"title": "FastAPI", "version": "0.1.0"},
@ -161,6 +159,7 @@ openapi_shema = {
def test_openapi_schema():
client = TestClient(app)
response = client.get("/openapi.json")
assert response.status_code == 200
assert response.json() == openapi_shema
@ -184,7 +183,8 @@ def test_openapi_schema():
],
)
def test_hidden_cookie(path, cookies, expected_status, expected_response):
response = client.get(path, cookies=cookies)
client = TestClient(app, cookies=cookies)
response = client.get(path)
assert response.status_code == expected_status
assert response.json() == expected_response
@ -207,12 +207,14 @@ def test_hidden_cookie(path, cookies, expected_status, expected_response):
],
)
def test_hidden_header(path, headers, expected_status, expected_response):
client = TestClient(app)
response = client.get(path, headers=headers)
assert response.status_code == expected_status
assert response.json() == expected_response
def test_hidden_path():
client = TestClient(app)
response = client.get("/hidden_path/hidden_path")
assert response.status_code == 200
assert response.json() == {"hidden_path": "hidden_path"}
@ -234,6 +236,7 @@ def test_hidden_path():
],
)
def test_hidden_query(path, expected_status, expected_response):
client = TestClient(app)
response = client.get(path)
assert response.status_code == expected_status
assert response.json() == expected_response

View File

@ -22,8 +22,6 @@ def read_current_user(current_user: User = Depends(get_current_user)):
return current_user
client = TestClient(app)
openapi_schema = {
"openapi": "3.0.2",
"info": {"title": "FastAPI", "version": "0.1.0"},
@ -51,18 +49,21 @@ openapi_schema = {
def test_openapi_schema():
client = TestClient(app)
response = client.get("/openapi.json")
assert response.status_code == 200, response.text
assert response.json() == openapi_schema
def test_security_api_key():
response = client.get("/users/me", cookies={"key": "secret"})
client = TestClient(app, cookies={"key": "secret"})
response = client.get("/users/me")
assert response.status_code == 200, response.text
assert response.json() == {"username": "secret"}
def test_security_api_key_no_key():
client = TestClient(app)
response = client.get("/users/me")
assert response.status_code == 403, response.text
assert response.json() == {"detail": "Not authenticated"}

View File

@ -22,8 +22,6 @@ def read_current_user(current_user: User = Depends(get_current_user)):
return current_user
client = TestClient(app)
openapi_schema = {
"openapi": "3.0.2",
"info": {"title": "FastAPI", "version": "0.1.0"},
@ -56,18 +54,21 @@ openapi_schema = {
def test_openapi_schema():
client = TestClient(app)
response = client.get("/openapi.json")
assert response.status_code == 200, response.text
assert response.json() == openapi_schema
def test_security_api_key():
response = client.get("/users/me", cookies={"key": "secret"})
client = TestClient(app, cookies={"key": "secret"})
response = client.get("/users/me")
assert response.status_code == 200, response.text
assert response.json() == {"username": "secret"}
def test_security_api_key_no_key():
client = TestClient(app)
response = client.get("/users/me")
assert response.status_code == 403, response.text
assert response.json() == {"detail": "Not authenticated"}

View File

@ -29,8 +29,6 @@ def read_current_user(current_user: User = Depends(get_current_user)):
return current_user
client = TestClient(app)
openapi_schema = {
"openapi": "3.0.2",
"info": {"title": "FastAPI", "version": "0.1.0"},
@ -58,18 +56,21 @@ openapi_schema = {
def test_openapi_schema():
client = TestClient(app)
response = client.get("/openapi.json")
assert response.status_code == 200, response.text
assert response.json() == openapi_schema
def test_security_api_key():
response = client.get("/users/me", cookies={"key": "secret"})
client = TestClient(app, cookies={"key": "secret"})
response = client.get("/users/me")
assert response.status_code == 200, response.text
assert response.json() == {"username": "secret"}
def test_security_api_key_no_key():
client = TestClient(app)
response = client.get("/users/me")
assert response.status_code == 200, response.text
assert response.json() == {"msg": "Create an account first"}

View File

@ -4,7 +4,6 @@ from typing import Optional
from fastapi import FastAPI, Security
from fastapi.security import HTTPBasic, HTTPBasicCredentials
from fastapi.testclient import TestClient
from requests.auth import HTTPBasicAuth
app = FastAPI()
@ -51,8 +50,7 @@ def test_openapi_schema():
def test_security_http_basic():
auth = HTTPBasicAuth(username="john", password="secret")
response = client.get("/users/me", auth=auth)
response = client.get("/users/me", auth=("john", "secret"))
assert response.status_code == 200, response.text
assert response.json() == {"username": "john", "password": "secret"}

View File

@ -3,7 +3,6 @@ from base64 import b64encode
from fastapi import FastAPI, Security
from fastapi.security import HTTPBasic, HTTPBasicCredentials
from fastapi.testclient import TestClient
from requests.auth import HTTPBasicAuth
app = FastAPI()
@ -48,8 +47,7 @@ def test_openapi_schema():
def test_security_http_basic():
auth = HTTPBasicAuth(username="john", password="secret")
response = client.get("/users/me", auth=auth)
response = client.get("/users/me", auth=("john", "secret"))
assert response.status_code == 200, response.text
assert response.json() == {"username": "john", "password": "secret"}

View File

@ -3,7 +3,6 @@ from base64 import b64encode
from fastapi import FastAPI, Security
from fastapi.security import HTTPBasic, HTTPBasicCredentials
from fastapi.testclient import TestClient
from requests.auth import HTTPBasicAuth
app = FastAPI()
@ -54,8 +53,7 @@ def test_openapi_schema():
def test_security_http_basic():
auth = HTTPBasicAuth(username="john", password="secret")
response = client.get("/users/me", auth=auth)
response = client.get("/users/me", auth=("john", "secret"))
assert response.status_code == 200, response.text
assert response.json() == {"username": "john", "password": "secret"}

View File

@ -47,10 +47,10 @@ openapi_schema = {
"responses": {
"200": {
"content": {"application/json": {"schema": {}}},
"description": "Successful " "Response",
"description": "Successful Response",
}
},
"summary": "No Body " "Status " "Code " "Exception",
"summary": "No Body Status Code Exception",
}
},
"/http-no-body-statuscode-with-detail-exception": {
@ -59,7 +59,7 @@ openapi_schema = {
"responses": {
"200": {
"content": {"application/json": {"schema": {}}},
"description": "Successful " "Response",
"description": "Successful Response",
}
},
"summary": "No Body Status Code With Detail Exception",

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