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5
.flake8
Normal file
@@ -0,0 +1,5 @@
|
||||
[flake8]
|
||||
max-line-length = 88
|
||||
select = C,E,F,W,B,B9
|
||||
ignore = E203, E501, W503
|
||||
exclude = __init__.py
|
||||
1
.github/FUNDING.yml
vendored
Normal file
@@ -0,0 +1 @@
|
||||
github: [tiangolo]
|
||||
62
.github/ISSUE_TEMPLATE/bug_report.md
vendored
@@ -1,62 +0,0 @@
|
||||
---
|
||||
name: Bug report
|
||||
about: Create a report to help us improve
|
||||
title: "[BUG]"
|
||||
labels: bug
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
### Describe the bug
|
||||
|
||||
Write here a clear and concise description of what the bug is.
|
||||
|
||||
### To Reproduce
|
||||
|
||||
Steps to reproduce the behavior with a minimum self-contained file.
|
||||
|
||||
Replace each part with your own scenario:
|
||||
|
||||
1. Create a file with:
|
||||
|
||||
```Python
|
||||
from fastapi import FastAPI
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
@app.get("/")
|
||||
def read_root():
|
||||
return {"Hello": "World"}
|
||||
```
|
||||
|
||||
3. Open the browser and call the endpoint `/`.
|
||||
4. It returns a JSON with `{"Hello": "World"}`.
|
||||
5. But I expected it to return `{"Hello": "Sara"}`.
|
||||
|
||||
### Expected behavior
|
||||
|
||||
Add a clear and concise description of what you expected to happen.
|
||||
|
||||
### Screenshots
|
||||
|
||||
If applicable, add screenshots to help explain your problem.
|
||||
|
||||
### Environment
|
||||
|
||||
- OS: [e.g. Linux / Windows / macOS]
|
||||
- FastAPI Version [e.g. 0.3.0], get it with:
|
||||
|
||||
```bash
|
||||
python -c "import fastapi; print(fastapi.__version__)"
|
||||
```
|
||||
|
||||
- Python version, get it with:
|
||||
|
||||
```bash
|
||||
python --version
|
||||
```
|
||||
|
||||
### Additional context
|
||||
|
||||
Add any other context about the problem here.
|
||||
92
.github/ISSUE_TEMPLATE/feature_request.md
vendored
@@ -1,26 +1,104 @@
|
||||
---
|
||||
name: Feature request
|
||||
about: Suggest an idea for this project
|
||||
title: "[FEATURE]"
|
||||
title: ""
|
||||
labels: enhancement
|
||||
assignees: ''
|
||||
|
||||
---
|
||||
|
||||
### Is your feature request related to a problem
|
||||
### First check
|
||||
|
||||
Is your feature request related to a problem?
|
||||
* [ ] I added a very descriptive title to this issue.
|
||||
* [ ] I used the GitHub search to find a similar issue and didn't find it.
|
||||
* [ ] I searched the FastAPI documentation, with the integrated search.
|
||||
* [ ] I already searched in Google "How to X in FastAPI" and didn't find any information.
|
||||
* [ ] I already read and followed all the tutorial in the docs and didn't find an answer.
|
||||
* [ ] I already checked if it is not related to FastAPI but to [Pydantic](https://github.com/samuelcolvin/pydantic).
|
||||
* [ ] I already checked if it is not related to FastAPI but to [Swagger UI](https://github.com/swagger-api/swagger-ui).
|
||||
* [ ] I already checked if it is not related to FastAPI but to [ReDoc](https://github.com/Redocly/redoc).
|
||||
* [ ] After submitting this, I commit to:
|
||||
* Read open issues with questions until I find 2 issues where I can help someone and add a comment to help there.
|
||||
* Or, I already hit the "watch" button in this repository to receive notifications and I commit to help at least 2 people that ask questions in the future.
|
||||
* Implement a Pull Request for a confirmed bug.
|
||||
|
||||
Add a clear and concise description of what the problem is. Ex. I want to be able to [...] but I can't because [...]
|
||||
<!--
|
||||
|
||||
I'm asking all this because answering questions and solving problems in GitHub issues consumes a lot of time. I end up not being able to add new features, fix bugs, review Pull Requests, etc. as fast as I wish because I have to spend too much time handling issues.
|
||||
|
||||
All that, on top of all the incredible help provided by a bunch of community members that give a lot of their time to come here and help others.
|
||||
|
||||
That's a lot of work they are doing, but if more FastAPI users came to help others like them just a little bit more, it would be much less effort for them (and you and me 😅).
|
||||
|
||||
-->
|
||||
|
||||
### Example
|
||||
|
||||
Here's a self-contained [minimal, reproducible, example](https://stackoverflow.com/help/minimal-reproducible-example) with my use case:
|
||||
|
||||
<!-- Replace the code below with your own self-contained, minimal, reproducible, example -->
|
||||
|
||||
```Python
|
||||
from fastapi import FastAPI
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
@app.get("/")
|
||||
def read_root():
|
||||
return {"Hello": "World"}
|
||||
```
|
||||
|
||||
### Description
|
||||
|
||||
<!-- Replace the content below with your own feature request -->
|
||||
|
||||
* Open the browser and call the endpoint `/`.
|
||||
* It returns a JSON with `{"Hello": "World"}`.
|
||||
* I would like it to have an extra parameter to teleport me to the moon and back.
|
||||
|
||||
### The solution you would like
|
||||
|
||||
Add a clear and concise description of what you want to happen.
|
||||
<!-- Replace this with your own content -->
|
||||
|
||||
I would like it to have a `teleport_to_moon` parameter that defaults to `False`, and can be set to `True` to teleport me:
|
||||
|
||||
```Python
|
||||
from fastapi import FastAPI
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
@app.get("/", teleport_to_moon=True)
|
||||
def read_root():
|
||||
return {"Hello": "World"}
|
||||
```
|
||||
|
||||
### Describe alternatives you've considered
|
||||
|
||||
Add a clear and concise description of any alternative solutions or features you've considered.
|
||||
<!-- Replace this with your own ideas -->
|
||||
|
||||
To wait for Space X moon travel plans to drop down long after they release them. But I would rather teleport.
|
||||
|
||||
### Environment
|
||||
|
||||
* OS: [e.g. Linux / Windows / macOS]:
|
||||
* FastAPI Version [e.g. 0.3.0]:
|
||||
|
||||
To know the FastAPI version use:
|
||||
|
||||
```bash
|
||||
python -c "import fastapi; print(fastapi.__version__)"
|
||||
```
|
||||
|
||||
* Python version:
|
||||
|
||||
To know the Python version use:
|
||||
|
||||
```bash
|
||||
python --version
|
||||
```
|
||||
|
||||
### Additional context
|
||||
|
||||
Add any other context or screenshots about the feature request here.
|
||||
<!-- Add any other context or screenshots about the question here. -->
|
||||
|
||||
71
.github/ISSUE_TEMPLATE/question.md
vendored
@@ -1,24 +1,81 @@
|
||||
---
|
||||
name: Question
|
||||
about: Ask a question
|
||||
title: "[QUESTION]"
|
||||
name: Question or Problem
|
||||
about: Ask a question or ask about a problem
|
||||
title: ""
|
||||
labels: question
|
||||
assignees: ''
|
||||
assignees: ""
|
||||
|
||||
---
|
||||
|
||||
### First check
|
||||
|
||||
* [ ] I added a very descriptive title to this issue.
|
||||
* [ ] I used the GitHub search to find a similar issue and didn't find it.
|
||||
* [ ] I searched the FastAPI documentation, with the integrated search.
|
||||
* [ ] I already searched in Google "How to X in FastAPI" and didn't find any information.
|
||||
* [ ] I already read and followed all the tutorial in the docs and didn't find an answer.
|
||||
* [ ] I already checked if it is not related to FastAPI but to [Pydantic](https://github.com/samuelcolvin/pydantic).
|
||||
* [ ] I already checked if it is not related to FastAPI but to [Swagger UI](https://github.com/swagger-api/swagger-ui).
|
||||
* [ ] I already checked if it is not related to FastAPI but to [ReDoc](https://github.com/Redocly/redoc).
|
||||
* [ ] After submitting this, I commit to one of:
|
||||
* Read open issues with questions until I find 2 issues where I can help someone and add a comment to help there.
|
||||
* I already hit the "watch" button in this repository to receive notifications and I commit to help at least 2 people that ask questions in the future.
|
||||
* Implement a Pull Request for a confirmed bug.
|
||||
|
||||
<!--
|
||||
|
||||
I'm asking all this because answering questions and solving problems in GitHub issues consumes a lot of time. I end up not being able to add new features, fix bugs, review Pull Requests, etc. as fast as I wish because I have to spend too much time handling issues.
|
||||
|
||||
All that, on top of all the incredible help provided by a bunch of community members that give a lot of their time to come here and help others.
|
||||
|
||||
That's a lot of work they are doing, but if more FastAPI users came to help others like them just a little bit more, it would be much less effort for them (and you and me 😅).
|
||||
|
||||
-->
|
||||
|
||||
### Example
|
||||
|
||||
Here's a self-contained, [minimal, reproducible, example](https://stackoverflow.com/help/minimal-reproducible-example) with my use case:
|
||||
|
||||
<!-- Replace the code below with your own self-contained, minimal, reproducible, example, if I (or someone) can copy it, run it, and see it right away, there's a much higher chance I (or someone) will be able to help you -->
|
||||
|
||||
```Python
|
||||
from fastapi import FastAPI
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
@app.get("/")
|
||||
def read_root():
|
||||
return {"Hello": "World"}
|
||||
```
|
||||
|
||||
### Description
|
||||
|
||||
How can I [...]?
|
||||
<!-- Replace the content below with your own problem, question, or error -->
|
||||
|
||||
Is it possible to [...]?
|
||||
* Open the browser and call the endpoint `/`.
|
||||
* It returns a JSON with `{"Hello": "World"}`.
|
||||
* But I expected it to return `{"Hello": "Sara"}`.
|
||||
|
||||
### Environment
|
||||
|
||||
* OS: [e.g. Linux / Windows / macOS]:
|
||||
* FastAPI Version [e.g. 0.3.0]:
|
||||
|
||||
To know the FastAPI version use:
|
||||
|
||||
```bash
|
||||
python -c "import fastapi; print(fastapi.__version__)"
|
||||
```
|
||||
|
||||
* Python version:
|
||||
|
||||
To know the Python version use:
|
||||
|
||||
```bash
|
||||
python --version
|
||||
```
|
||||
|
||||
### Additional context
|
||||
|
||||
Add any other context or screenshots about the feature request here.
|
||||
<!-- Add any other context or screenshots about the question here. -->
|
||||
|
||||
7
.github/actions/get-artifact/Dockerfile
vendored
Normal file
@@ -0,0 +1,7 @@
|
||||
FROM python:3.7
|
||||
|
||||
RUN pip install httpx "pydantic==1.5.1"
|
||||
|
||||
COPY ./app /app
|
||||
|
||||
CMD ["python", "/app/main.py"]
|
||||
16
.github/actions/get-artifact/action.yml
vendored
Normal file
@@ -0,0 +1,16 @@
|
||||
name: "Get Artifact"
|
||||
description: "Get artifact, possibly uploaded by a PR, useful to deploy docs previews"
|
||||
author: "Sebastián Ramírez <tiangolo@gmail.com>"
|
||||
inputs:
|
||||
token:
|
||||
description: 'Token for the repo. Can be passed in using {{ secrets.GITHUB_TOKEN }}'
|
||||
required: true
|
||||
name:
|
||||
description: 'Artifact name'
|
||||
required: true
|
||||
path:
|
||||
description: 'Where to store the artifact'
|
||||
required: true
|
||||
runs:
|
||||
using: 'docker'
|
||||
image: 'Dockerfile'
|
||||
63
.github/actions/get-artifact/app/main.py
vendored
Normal file
@@ -0,0 +1,63 @@
|
||||
import logging
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
from typing import List, Optional
|
||||
|
||||
import httpx
|
||||
from pydantic import BaseModel, BaseSettings, SecretStr
|
||||
|
||||
github_api = "https://api.github.com"
|
||||
netlify_api = "https://api.netlify.com"
|
||||
|
||||
|
||||
class Settings(BaseSettings):
|
||||
input_name: str
|
||||
input_token: SecretStr
|
||||
input_path: str
|
||||
github_repository: str
|
||||
github_event_path: Path
|
||||
github_event_name: Optional[str] = None
|
||||
|
||||
|
||||
class Artifact(BaseModel):
|
||||
id: int
|
||||
node_id: str
|
||||
name: str
|
||||
size_in_bytes: int
|
||||
url: str
|
||||
archive_download_url: str
|
||||
expired: bool
|
||||
created_at: datetime
|
||||
updated_at: datetime
|
||||
|
||||
|
||||
class ArtifactResponse(BaseModel):
|
||||
total_count: int
|
||||
artifacts: List[Artifact]
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
settings = Settings()
|
||||
logging.info(f"Using config: {settings.json()}")
|
||||
github_headers = {
|
||||
"Authorization": f"token {settings.input_token.get_secret_value()}"
|
||||
}
|
||||
response = httpx.get(
|
||||
f"{github_api}/repos/{settings.github_repository}/actions/artifacts",
|
||||
headers=github_headers,
|
||||
)
|
||||
data = response.json()
|
||||
artifacts_response = ArtifactResponse.parse_obj(data)
|
||||
use_artifact: Optional[Artifact] = None
|
||||
for artifact in artifacts_response.artifacts:
|
||||
if artifact.name == settings.input_name:
|
||||
use_artifact = artifact
|
||||
break
|
||||
assert use_artifact
|
||||
file_response = httpx.get(
|
||||
use_artifact.archive_download_url, headers=github_headers, timeout=30
|
||||
)
|
||||
zip_file = Path(settings.input_path)
|
||||
zip_file.write_bytes(file_response.content)
|
||||
logging.info("Finished")
|
||||
7
.github/actions/watch-previews/Dockerfile
vendored
Normal file
@@ -0,0 +1,7 @@
|
||||
FROM python:3.7
|
||||
|
||||
RUN pip install httpx PyGithub "pydantic==1.5.1"
|
||||
|
||||
COPY ./app /app
|
||||
|
||||
CMD ["python", "/app/main.py"]
|
||||
10
.github/actions/watch-previews/action.yml
vendored
Normal file
@@ -0,0 +1,10 @@
|
||||
name: "Watch docs previews in PRs"
|
||||
description: "Check PRs and trigger new docs deploys"
|
||||
author: "Sebastián Ramírez <tiangolo@gmail.com>"
|
||||
inputs:
|
||||
token:
|
||||
description: 'Token for the repo. Can be passed in using {{ secrets.GITHUB_TOKEN }}'
|
||||
required: true
|
||||
runs:
|
||||
using: 'docker'
|
||||
image: 'Dockerfile'
|
||||
101
.github/actions/watch-previews/app/main.py
vendored
Normal file
@@ -0,0 +1,101 @@
|
||||
import logging
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
from typing import List, Optional
|
||||
|
||||
import httpx
|
||||
from github import Github
|
||||
from github.NamedUser import NamedUser
|
||||
from pydantic import BaseModel, BaseSettings, SecretStr
|
||||
|
||||
github_api = "https://api.github.com"
|
||||
netlify_api = "https://api.netlify.com"
|
||||
|
||||
|
||||
class Settings(BaseSettings):
|
||||
input_token: SecretStr
|
||||
github_repository: str
|
||||
github_event_path: Path
|
||||
github_event_name: Optional[str] = None
|
||||
|
||||
|
||||
class Artifact(BaseModel):
|
||||
id: int
|
||||
node_id: str
|
||||
name: str
|
||||
size_in_bytes: int
|
||||
url: str
|
||||
archive_download_url: str
|
||||
expired: bool
|
||||
created_at: datetime
|
||||
updated_at: datetime
|
||||
|
||||
|
||||
class ArtifactResponse(BaseModel):
|
||||
total_count: int
|
||||
artifacts: List[Artifact]
|
||||
|
||||
|
||||
def get_message(commit: str) -> str:
|
||||
return f"Docs preview for commit {commit} at"
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
settings = Settings()
|
||||
logging.info(f"Using config: {settings.json()}")
|
||||
g = Github(settings.input_token.get_secret_value())
|
||||
repo = g.get_repo(settings.github_repository)
|
||||
owner: NamedUser = repo.owner
|
||||
headers = {"Authorization": f"token {settings.input_token.get_secret_value()}"}
|
||||
prs = list(repo.get_pulls(state="open"))
|
||||
response = httpx.get(
|
||||
f"{github_api}/repos/{settings.github_repository}/actions/artifacts",
|
||||
headers=headers,
|
||||
)
|
||||
data = response.json()
|
||||
artifacts_response = ArtifactResponse.parse_obj(data)
|
||||
for pr in prs:
|
||||
logging.info("-----")
|
||||
logging.info(f"Processing PR #{pr.number}: {pr.title}")
|
||||
pr_comments = list(pr.get_issue_comments())
|
||||
pr_commits = list(pr.get_commits())
|
||||
last_commit = pr_commits[0]
|
||||
for pr_commit in pr_commits:
|
||||
if pr_commit.commit.author.date > last_commit.commit.author.date:
|
||||
last_commit = pr_commit
|
||||
commit = last_commit.commit.sha
|
||||
logging.info(f"Last commit: {commit}")
|
||||
message = get_message(commit)
|
||||
notified = False
|
||||
for pr_comment in pr_comments:
|
||||
if message in pr_comment.body:
|
||||
notified = True
|
||||
logging.info(f"Docs preview was notified: {notified}")
|
||||
if not notified:
|
||||
artifact_name = f"docs-zip-{commit}"
|
||||
use_artifact: Optional[Artifact] = None
|
||||
for artifact in artifacts_response.artifacts:
|
||||
if artifact.name == artifact_name:
|
||||
use_artifact = artifact
|
||||
break
|
||||
if not use_artifact:
|
||||
logging.info("Artifact not available")
|
||||
else:
|
||||
logging.info(f"Existing artifact: {use_artifact.name}")
|
||||
response = httpx.post(
|
||||
"https://api.github.com/repos/tiangolo/fastapi/actions/workflows/preview-docs.yml/dispatches",
|
||||
headers=headers,
|
||||
json={
|
||||
"ref": "master",
|
||||
"inputs": {
|
||||
"pr": f"{pr.number}",
|
||||
"name": artifact_name,
|
||||
"commit": commit,
|
||||
},
|
||||
},
|
||||
)
|
||||
logging.info(
|
||||
f"Trigger sent, response status: {response.status_code} - content: {response.content}"
|
||||
)
|
||||
logging.info("Finished")
|
||||
@@ -1,4 +1,4 @@
|
||||
name: Build and Deploy to Netlify
|
||||
name: Build Docs
|
||||
on:
|
||||
push:
|
||||
pull_request:
|
||||
@@ -7,6 +7,10 @@ jobs:
|
||||
build:
|
||||
runs-on: ubuntu-18.04
|
||||
steps:
|
||||
- name: Dump GitHub context
|
||||
env:
|
||||
GITHUB_CONTEXT: ${{ toJson(github) }}
|
||||
run: echo "$GITHUB_CONTEXT"
|
||||
- uses: actions/checkout@v2
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v1
|
||||
@@ -18,12 +22,21 @@ jobs:
|
||||
run: python3.7 -m flit install --extras doc
|
||||
- name: Build Docs
|
||||
run: python3.7 ./scripts/docs.py build-all
|
||||
- name: Zip docs
|
||||
if: github.event_name == 'pull_request'
|
||||
run: bash ./scripts/zip-docs.sh
|
||||
- uses: actions/upload-artifact@v2
|
||||
if: github.event_name == 'pull_request'
|
||||
with:
|
||||
name: docs-zip-${{ github.event.pull_request.head.sha }}
|
||||
path: ./docs.zip
|
||||
- name: Deploy to Netlify
|
||||
uses: nwtgck/actions-netlify@v1.0.3
|
||||
uses: nwtgck/actions-netlify@v1.1.5
|
||||
with:
|
||||
publish-dir: './site'
|
||||
production-branch: master
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
enable-commit-comment: false
|
||||
env:
|
||||
NETLIFY_AUTH_TOKEN: ${{ secrets.NETLIFY_AUTH_TOKEN }}
|
||||
NETLIFY_SITE_ID: ${{ secrets.NETLIFY_SITE_ID }}
|
||||
@@ -1,15 +1,24 @@
|
||||
name: Issue Manager
|
||||
|
||||
on:
|
||||
schedule:
|
||||
- cron: "0 0 * * *"
|
||||
- cron: "0 0 * * *"
|
||||
issue_comment:
|
||||
types:
|
||||
- created
|
||||
- edited
|
||||
issues:
|
||||
types:
|
||||
- labeled
|
||||
|
||||
jobs:
|
||||
issue-manager:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: tiangolo/issue-manager@master
|
||||
with:
|
||||
token: ${{ secrets.GITHUB_TOKEN }}
|
||||
config: >
|
||||
- uses: tiangolo/issue-manager@0.2.0
|
||||
with:
|
||||
token: ${{ secrets.GITHUB_TOKEN }}
|
||||
config: >
|
||||
{
|
||||
"answered": {
|
||||
"users": ["tiangolo", "dmontagu"],
|
||||
14
.github/workflows/pr-approvals.yml
vendored
Normal file
@@ -0,0 +1,14 @@
|
||||
name: Label approved pull requests
|
||||
on: pull_request_review
|
||||
jobs:
|
||||
labelWhenApproved:
|
||||
name: Label when approved
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Label when approved
|
||||
uses: pullreminders/label-when-approved-action@v1.0.7
|
||||
env:
|
||||
APPROVALS: "2"
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
ADD_LABEL: "approved-2"
|
||||
REMOVE_LABEL: "awaiting%20review"
|
||||
44
.github/workflows/preview-docs.yml
vendored
Normal file
@@ -0,0 +1,44 @@
|
||||
name: Preview Docs
|
||||
on:
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
pr:
|
||||
description: Pull Request number
|
||||
required: true
|
||||
name:
|
||||
description: Artifact name for zip file with docs
|
||||
required: true
|
||||
commit:
|
||||
description: Commit SHA hash
|
||||
required: true
|
||||
|
||||
jobs:
|
||||
deploy:
|
||||
runs-on: ubuntu-18.04
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
- uses: ./.github/actions/get-artifact
|
||||
with:
|
||||
token: ${{ secrets.GITHUB_TOKEN }}
|
||||
name: ${{ github.event.inputs.name }}
|
||||
path: ./archive.zip
|
||||
- name: Unzip docs
|
||||
run: bash ./scripts/unzip-docs.sh
|
||||
- name: Deploy to Netlify
|
||||
id: netlify
|
||||
uses: nwtgck/actions-netlify@v1.1.5
|
||||
with:
|
||||
publish-dir: './site'
|
||||
production-deploy: false
|
||||
github-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
enable-commit-comment: false
|
||||
env:
|
||||
NETLIFY_AUTH_TOKEN: ${{ secrets.NETLIFY_AUTH_TOKEN }}
|
||||
NETLIFY_SITE_ID: ${{ secrets.NETLIFY_SITE_ID }}
|
||||
- name: Comment Deploy
|
||||
env:
|
||||
PR: "${{ github.event.inputs.pr }}"
|
||||
DEPLOY_URL: "${{ steps.netlify.outputs.deploy-url }}"
|
||||
GITHUB_TOKEN: "${{ secrets.GITHUB_TOKEN }}"
|
||||
COMMIT: "${{ github.event.inputs.commit }}"
|
||||
run: bash ./scripts/docs-comment-deploy.sh
|
||||
39
.github/workflows/publish.yml
vendored
Normal file
@@ -0,0 +1,39 @@
|
||||
name: Publish
|
||||
|
||||
on:
|
||||
release:
|
||||
types:
|
||||
- created
|
||||
|
||||
jobs:
|
||||
publish:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Dump GitHub context
|
||||
env:
|
||||
GITHUB_CONTEXT: ${{ toJson(github) }}
|
||||
run: echo "$GITHUB_CONTEXT"
|
||||
- uses: actions/checkout@v2
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v1
|
||||
with:
|
||||
python-version: "3.6"
|
||||
- name: Install Flit
|
||||
run: pip install flit
|
||||
- name: Install Dependencies
|
||||
run: flit install --symlink
|
||||
- name: Publish
|
||||
env:
|
||||
FLIT_USERNAME: ${{ secrets.FLIT_USERNAME }}
|
||||
FLIT_PASSWORD: ${{ secrets.FLIT_PASSWORD }}
|
||||
run: bash scripts/publish.sh
|
||||
- name: Dump GitHub context
|
||||
env:
|
||||
GITHUB_CONTEXT: ${{ toJson(github) }}
|
||||
run: echo "$GITHUB_CONTEXT"
|
||||
# - name: Notify
|
||||
# env:
|
||||
# GITTER_TOKEN: ${{ secrets.GITTER_TOKEN }}
|
||||
# GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
# TAG: ${{ github.event.release.name }}
|
||||
# run: bash scripts/notify.sh
|
||||
29
.github/workflows/test.yml
vendored
Normal file
@@ -0,0 +1,29 @@
|
||||
name: Test
|
||||
|
||||
on:
|
||||
push:
|
||||
pull_request:
|
||||
types: [opened, synchronize]
|
||||
|
||||
jobs:
|
||||
test:
|
||||
runs-on: ubuntu-latest
|
||||
strategy:
|
||||
matrix:
|
||||
python-version: [3.6, 3.7, 3.8]
|
||||
fail-fast: false
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v1
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
- name: Install Flit
|
||||
run: pip install flit
|
||||
- name: Install Dependencies
|
||||
run: flit install --symlink
|
||||
- name: Test
|
||||
run: bash scripts/test.sh
|
||||
- name: Upload coverage
|
||||
uses: codecov/codecov-action@v1
|
||||
13
.github/workflows/watch-docs-previews.yml
vendored
Normal file
@@ -0,0 +1,13 @@
|
||||
name: Watch Docs Previews
|
||||
on:
|
||||
schedule:
|
||||
- cron: "0 * * * *"
|
||||
|
||||
jobs:
|
||||
deploy:
|
||||
runs-on: ubuntu-18.04
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
- uses: ./.github/actions/watch-previews
|
||||
with:
|
||||
token: ${{ secrets.ACTIONS_TOKEN }}
|
||||
8
.gitignore
vendored
@@ -14,4 +14,12 @@ test.db
|
||||
log.txt
|
||||
Pipfile.lock
|
||||
env3.*
|
||||
env
|
||||
docs_build
|
||||
venv
|
||||
docs.zip
|
||||
archive.zip
|
||||
|
||||
# vim temporary files
|
||||
*~
|
||||
.*.sw?
|
||||
|
||||
32
.travis.yml
@@ -1,32 +0,0 @@
|
||||
dist: xenial
|
||||
|
||||
language: python
|
||||
|
||||
cache: pip
|
||||
|
||||
python:
|
||||
- "3.6"
|
||||
- "3.7"
|
||||
- "3.8"
|
||||
- "nightly"
|
||||
|
||||
matrix:
|
||||
allow_failures:
|
||||
- python: "nightly"
|
||||
|
||||
install:
|
||||
- pip install flit
|
||||
- flit install --symlink
|
||||
|
||||
script:
|
||||
- bash scripts/test.sh
|
||||
|
||||
after_script:
|
||||
- bash <(curl -s https://codecov.io/bash)
|
||||
|
||||
deploy:
|
||||
provider: script
|
||||
script: bash scripts/deploy.sh
|
||||
on:
|
||||
tags: true
|
||||
python: "3.6"
|
||||
66
README.md
@@ -5,14 +5,14 @@
|
||||
<em>FastAPI framework, high performance, easy to learn, fast to code, ready for production</em>
|
||||
</p>
|
||||
<p align="center">
|
||||
<a href="https://travis-ci.com/tiangolo/fastapi" target="_blank">
|
||||
<img src="https://travis-ci.com/tiangolo/fastapi.svg?branch=master" alt="Build Status">
|
||||
<a href="https://github.com/tiangolo/fastapi/actions?query=workflow%3ATest" target="_blank">
|
||||
<img src="https://github.com/tiangolo/fastapi/workflows/Test/badge.svg" alt="Test">
|
||||
</a>
|
||||
<a href="https://codecov.io/gh/tiangolo/fastapi" target="_blank">
|
||||
<img src="https://img.shields.io/codecov/c/github/tiangolo/fastapi" alt="Coverage">
|
||||
<img src="https://img.shields.io/codecov/c/github/tiangolo/fastapi?color=%2334D058" alt="Coverage">
|
||||
</a>
|
||||
<a href="https://pypi.org/project/fastapi" target="_blank">
|
||||
<img src="https://badge.fury.io/py/fastapi.svg" alt="Package version">
|
||||
<img src="https://img.shields.io/pypi/v/fastapi?color=%2334D058&label=pypi%20package" alt="Package version">
|
||||
</a>
|
||||
<a href="https://gitter.im/tiangolo/fastapi?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge" target="_blank">
|
||||
<img src="https://badges.gitter.im/tiangolo/fastapi.svg" alt="Join the chat at https://gitter.im/tiangolo/fastapi">
|
||||
@@ -33,7 +33,7 @@ The key features are:
|
||||
|
||||
* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
|
||||
|
||||
* **Fast to code**: Increase the speed to develop features by about 200% to 300% *.
|
||||
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
|
||||
* **Fewer bugs**: Reduce about 40% of human (developer) induced errors. *
|
||||
* **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging.
|
||||
* **Easy**: Designed to be easy to use and learn. Less time reading docs.
|
||||
@@ -45,38 +45,44 @@ The key features are:
|
||||
|
||||
## Opinions
|
||||
|
||||
"*[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products.*"
|
||||
"_[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products._"
|
||||
|
||||
<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>
|
||||
|
||||
---
|
||||
|
||||
"*I’m over the moon excited about **FastAPI**. It’s so fun!*"
|
||||
"_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"
|
||||
|
||||
<div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div>
|
||||
|
||||
---
|
||||
|
||||
"_**Netflix** is pleased to announce the open-source release of our **crisis management** orchestration framework: **Dispatch**! [built with **FastAPI**]_"
|
||||
|
||||
<div style="text-align: right; margin-right: 10%;">Kevin Glisson, Marc Vilanova, Forest Monsen - <strong>Netflix</strong> <a href="https://netflixtechblog.com/introducing-dispatch-da4b8a2a8072" target="_blank"><small>(ref)</small></a></div>
|
||||
|
||||
---
|
||||
|
||||
"_I’m over the moon excited about **FastAPI**. It’s so fun!_"
|
||||
|
||||
<div style="text-align: right; margin-right: 10%;">Brian Okken - <strong><a href="https://pythonbytes.fm/episodes/show/123/time-to-right-the-py-wrongs?time_in_sec=855" target="_blank">Python Bytes</a> podcast host</strong> <a href="https://twitter.com/brianokken/status/1112220079972728832" target="_blank"><small>(ref)</small></a></div>
|
||||
|
||||
---
|
||||
|
||||
"*Honestly, what you've built looks super solid and polished. In many ways, it's what I wanted **Hug** to be - it's really inspiring to see someone build that.*"
|
||||
"_Honestly, what you've built looks super solid and polished. In many ways, it's what I wanted **Hug** to be - it's really inspiring to see someone build that._"
|
||||
|
||||
<div style="text-align: right; margin-right: 10%;">Timothy Crosley - <strong><a href="http://www.hug.rest/" target="_blank">Hug</a> creator</strong> <a href="https://news.ycombinator.com/item?id=19455465" target="_blank"><small>(ref)</small></a></div>
|
||||
|
||||
---
|
||||
|
||||
"*If you're looking to learn one **modern framework** for building REST APIs, check out **FastAPI** [...] It's fast, easy to use and easy to learn [...]*"
|
||||
"_If you're looking to learn one **modern framework** for building REST APIs, check out **FastAPI** [...] It's fast, easy to use and easy to learn [...]_"
|
||||
|
||||
"*We've switched over to **FastAPI** for our **APIs** [...] I think you'll like it [...]*"
|
||||
"_We've switched over to **FastAPI** for our **APIs** [...] I think you'll like it [...]_"
|
||||
|
||||
<div style="text-align: right; margin-right: 10%;">Ines Montani - Matthew Honnibal - <strong><a href="https://explosion.ai" target="_blank">Explosion AI</a> founders - <a href="https://spacy.io" target="_blank">spaCy</a> creators</strong> <a href="https://twitter.com/_inesmontani/status/1144173225322143744" target="_blank"><small>(ref)</small></a> - <a href="https://twitter.com/honnibal/status/1144031421859655680" target="_blank"><small>(ref)</small></a></div>
|
||||
|
||||
---
|
||||
|
||||
"*We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]*"
|
||||
|
||||
<div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div>
|
||||
|
||||
---
|
||||
|
||||
## **Typer**, the FastAPI of CLIs
|
||||
|
||||
<a href="https://typer.tiangolo.com" target="_blank"><img src="https://typer.tiangolo.com/img/logo-margin/logo-margin-vector.svg" style="width: 20%;"></a>
|
||||
@@ -125,6 +131,8 @@ $ pip install uvicorn
|
||||
* Create a file `main.py` with:
|
||||
|
||||
```Python
|
||||
from typing import Optional
|
||||
|
||||
from fastapi import FastAPI
|
||||
|
||||
app = FastAPI()
|
||||
@@ -136,7 +144,7 @@ def read_root():
|
||||
|
||||
|
||||
@app.get("/items/{item_id}")
|
||||
def read_item(item_id: int, q: str = None):
|
||||
def read_item(item_id: int, q: Optional[str] = None):
|
||||
return {"item_id": item_id, "q": q}
|
||||
```
|
||||
|
||||
@@ -145,7 +153,9 @@ def read_item(item_id: int, q: str = None):
|
||||
|
||||
If your code uses `async` / `await`, use `async def`:
|
||||
|
||||
```Python hl_lines="7 12"
|
||||
```Python hl_lines="9 14"
|
||||
from typing import Optional
|
||||
|
||||
from fastapi import FastAPI
|
||||
|
||||
app = FastAPI()
|
||||
@@ -157,7 +167,7 @@ async def read_root():
|
||||
|
||||
|
||||
@app.get("/items/{item_id}")
|
||||
async def read_item(item_id: int, q: str = None):
|
||||
async def read_item(item_id: int, q: Optional[str] = None):
|
||||
return {"item_id": item_id, "q": q}
|
||||
```
|
||||
|
||||
@@ -176,11 +186,11 @@ Run the server with:
|
||||
```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)
|
||||
<span style="color: green;">INFO</span>: Started reloader process [28720]
|
||||
<span style="color: green;">INFO</span>: Started server process [28722]
|
||||
<span style="color: green;">INFO</span>: Waiting for application startup.
|
||||
<span style="color: green;">INFO</span>: Application startup complete.
|
||||
INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
|
||||
INFO: Started reloader process [28720]
|
||||
INFO: Started server process [28722]
|
||||
INFO: Waiting for application startup.
|
||||
INFO: Application startup complete.
|
||||
```
|
||||
|
||||
</div>
|
||||
@@ -235,7 +245,9 @@ Now modify the file `main.py` to receive a body from a `PUT` request.
|
||||
|
||||
Declare the body using standard Python types, thanks to Pydantic.
|
||||
|
||||
```Python hl_lines="2 7 8 9 10 23 24 25"
|
||||
```Python hl_lines="4 9 10 11 12 25 26 27"
|
||||
from typing import Optional
|
||||
|
||||
from fastapi import FastAPI
|
||||
from pydantic import BaseModel
|
||||
|
||||
@@ -245,7 +257,7 @@ app = FastAPI()
|
||||
class Item(BaseModel):
|
||||
name: str
|
||||
price: float
|
||||
is_offer: bool = None
|
||||
is_offer: Optional[bool] = None
|
||||
|
||||
|
||||
@app.get("/")
|
||||
@@ -254,7 +266,7 @@ def read_root():
|
||||
|
||||
|
||||
@app.get("/items/{item_id}")
|
||||
def read_item(item_id: int, q: str = None):
|
||||
def read_item(item_id: int, q: Optional[str] = None):
|
||||
return {"item_id": item_id, "q": q}
|
||||
|
||||
|
||||
|
||||
230
docs/en/data/external_links.yml
Normal file
@@ -0,0 +1,230 @@
|
||||
articles:
|
||||
english:
|
||||
- link: https://medium.com/@williamhayes/fastapi-starlette-debug-vs-prod-5f7561db3a59
|
||||
title: FastAPI/Starlette debug vs prod
|
||||
author_link: https://medium.com/@williamhayes
|
||||
author: William Hayes
|
||||
- link: https://medium.com/data-rebels/fastapi-google-as-an-external-authentication-provider-3a527672cf33
|
||||
title: FastAPI — Google as an external authentication provider
|
||||
author_link: https://medium.com/@nilsdebruin
|
||||
author: Nils de Bruin
|
||||
- link: https://medium.com/data-rebels/fastapi-how-to-add-basic-and-cookie-authentication-a45c85ef47d3
|
||||
title: FastAPI — How to add basic and cookie authentication
|
||||
author_link: https://medium.com/@nilsdebruin
|
||||
author: Nils de Bruin
|
||||
- link: https://dev.to/errietta/introduction-to-the-fastapi-python-framework-2n10
|
||||
title: Introduction to the fastapi python framework
|
||||
author_link: https://dev.to/errietta
|
||||
author: Errieta Kostala
|
||||
- link: http://nickc1.github.io/api,/scikit-learn/2019/01/10/scikit-fastapi.html
|
||||
title: "FastAPI and Scikit-Learn: Easily Deploy Models"
|
||||
author_link: http://nickc1.github.io/
|
||||
author: Nick Cortale
|
||||
- link: https://medium.com/data-rebels/fastapi-authentication-revisited-enabling-api-key-authentication-122dc5975680
|
||||
title: "FastAPI authentication revisited: Enabling API key authentication"
|
||||
author_link: https://medium.com/@nilsdebruin
|
||||
author: Nils de Bruin
|
||||
- link: https://medium.com/@nico.axtmann95/deploying-a-scikit-learn-model-with-onnx-und-fastapi-1af398268915
|
||||
title: Deploying a scikit-learn model with ONNX and FastAPI
|
||||
author_link: https://www.linkedin.com/in/nico-axtmann
|
||||
author: Nico Axtmann
|
||||
- link: https://geekflare.com/python-asynchronous-web-frameworks/
|
||||
title: Top 5 Asynchronous Web Frameworks for Python
|
||||
author_link: https://geekflare.com/author/ankush/
|
||||
author: Ankush Thakur
|
||||
- link: https://medium.com/@gntrm/jwt-authentication-with-fastapi-and-aws-cognito-1333f7f2729e
|
||||
title: JWT Authentication with FastAPI and AWS Cognito
|
||||
author_link: https://twitter.com/gntrm
|
||||
author: Johannes Gontrum
|
||||
- link: https://towardsdatascience.com/how-to-deploy-a-machine-learning-model-dc51200fe8cf
|
||||
title: How to Deploy a Machine Learning Model
|
||||
author_link: https://www.linkedin.com/in/mgrootendorst/
|
||||
author: Maarten Grootendorst
|
||||
- link: https://eng.uber.com/ludwig-v0-2/
|
||||
title: "Uber: Ludwig v0.2 Adds New Features and Other Improvements to its Deep Learning Toolbox [including a FastAPI server]"
|
||||
author_link: https://eng.uber.com
|
||||
author: Uber Engineering
|
||||
- link: https://gitlab.com/euri10/fastapi_cheatsheet
|
||||
title: A FastAPI and Swagger UI visual cheatsheet
|
||||
author_link: https://gitlab.com/euri10
|
||||
author: "@euri10"
|
||||
- link: https://medium.com/@mike.p.moritz/using-docker-compose-to-deploy-a-lightweight-python-rest-api-with-a-job-queue-37e6072a209b
|
||||
title: Using Docker Compose to deploy a lightweight Python REST API with a job queue
|
||||
author_link: https://medium.com/@mike.p.moritz
|
||||
author: Mike Moritz
|
||||
- link: https://robwagner.dev/tortoise-fastapi-setup/
|
||||
title: Setting up Tortoise ORM with FastAPI
|
||||
author_link: https://robwagner.dev/
|
||||
author: Rob Wagner
|
||||
- link: https://dev.to/dbanty/why-i-m-leaving-flask-3ki6
|
||||
title: Why I'm Leaving Flask
|
||||
author_link: https://dev.to/dbanty
|
||||
author: Dylan Anthony
|
||||
- link: https://medium.com/python-data/how-to-deploy-tensorflow-2-0-models-as-an-api-service-with-fastapi-docker-128b177e81f3
|
||||
title: How To Deploy Tensorflow 2.0 Models As An API Service With FastAPI & Docker
|
||||
author_link: https://medium.com/@bbrenyah
|
||||
author: Bernard Brenyah
|
||||
- link: https://testdriven.io/blog/fastapi-crud/
|
||||
title: "TestDriven.io: Developing and Testing an Asynchronous API with FastAPI and Pytest"
|
||||
author_link: https://testdriven.io/authors/herman
|
||||
author: Michael Herman
|
||||
- link: https://towardsdatascience.com/deploying-iris-classifications-with-fastapi-and-docker-7c9b83fdec3a
|
||||
title: "Towards Data Science: Deploying Iris Classifications with FastAPI and Docker"
|
||||
author_link: https://towardsdatascience.com/@mandygu
|
||||
author: Mandy Gu
|
||||
- link: https://medium.com/analytics-vidhya/deploy-machine-learning-models-with-keras-fastapi-redis-and-docker-4940df614ece
|
||||
title: Deploy Machine Learning Models with Keras, FastAPI, Redis and Docker
|
||||
author_link: https://medium.com/@shane.soh
|
||||
author: Shane Soh
|
||||
- link: https://medium.com/@arthur393/another-boilerplate-to-fastapi-azure-pipeline-ci-pytest-3c8d9a4be0bb
|
||||
title: "Another Boilerplate to FastAPI: Azure Pipeline CI + Pytest"
|
||||
author_link: https://twitter.com/arthurheinrique
|
||||
author: Arthur Henrique
|
||||
- link: https://iwpnd.pw/articles/2020-01/deploy-fastapi-to-aws-lambda
|
||||
title: How to continuously deploy a FastAPI to AWS Lambda with AWS SAM
|
||||
author_link: https://iwpnd.pw
|
||||
author: Benjamin Ramser
|
||||
- link: https://www.tutlinks.com/create-and-deploy-fastapi-app-to-heroku/
|
||||
title: Create and Deploy FastAPI app to Heroku without using Docker
|
||||
author_link: https://www.linkedin.com/in/navule/
|
||||
author: Navule Pavan Kumar Rao
|
||||
- link: https://iwpnd.pw/articles/2020-03/apache-kafka-fastapi-geostream
|
||||
title: Apache Kafka producer and consumer with FastAPI and aiokafka
|
||||
author_link: https://iwpnd.pw
|
||||
author: Benjamin Ramser
|
||||
- link: https://wuilly.com/2019/10/real-time-notifications-with-python-and-postgres/
|
||||
title: Real-time Notifications with Python and Postgres
|
||||
author_link: https://wuilly.com/
|
||||
author: Guillermo Cruz
|
||||
- link: https://dev.to/paurakhsharma/microservice-in-python-using-fastapi-24cc
|
||||
title: Microservice in Python using FastAPI
|
||||
author_link: https://twitter.com/PaurakhSharma
|
||||
author: Paurakh Sharma Humagain
|
||||
- link: https://dev.to/cuongld2/build-simple-api-service-with-python-fastapi-part-1-581o
|
||||
title: Build simple API service with Python FastAPI — Part 1
|
||||
author_link: https://dev.to/cuongld2
|
||||
author: cuongld2
|
||||
- link: https://paulsec.github.io/posts/fastapi_plus_zeit_serverless_fu/
|
||||
title: FastAPI + Zeit.co = 🚀
|
||||
author_link: https://twitter.com/PaulWebSec
|
||||
author: Paul Sec
|
||||
- link: https://dev.to/tiangolo/build-a-web-api-from-scratch-with-fastapi-the-workshop-2ehe
|
||||
title: Build a web API from scratch with FastAPI - the workshop
|
||||
author_link: https://twitter.com/tiangolo
|
||||
author: Sebastián Ramírez (tiangolo)
|
||||
- link: https://www.twilio.com/blog/build-secure-twilio-webhook-python-fastapi
|
||||
title: Build a Secure Twilio Webhook with Python and FastAPI
|
||||
author_link: https://www.twilio.com
|
||||
author: Twilio
|
||||
- link: https://www.stavros.io/posts/fastapi-with-django/
|
||||
title: Using FastAPI with Django
|
||||
author_link: https://twitter.com/Stavros
|
||||
author: Stavros Korokithakis
|
||||
- link: https://netflixtechblog.com/introducing-dispatch-da4b8a2a8072
|
||||
title: Introducing Dispatch
|
||||
author_link: https://netflixtechblog.com/
|
||||
author: Netflix
|
||||
- link: https://davidefiocco.github.io/2020/06/27/streamlit-fastapi-ml-serving.html
|
||||
title: Machine learning model serving in Python using FastAPI and streamlit
|
||||
author_link: https://github.com/davidefiocco
|
||||
author: Davide Fiocco
|
||||
- link: https://www.tutlinks.com/deploy-fastapi-on-azure/
|
||||
title: Deploy FastAPI on Azure App Service
|
||||
author_link: https://www.linkedin.com/in/navule/
|
||||
author: Navule Pavan Kumar Rao
|
||||
- link: https://towardsdatascience.com/build-and-host-fast-data-science-applications-using-fastapi-823be8a1d6a0
|
||||
title: Build And Host Fast Data Science Applications Using FastAPI
|
||||
author_link: https://medium.com/@farhadmalik
|
||||
author: Farhad Malik
|
||||
japanese:
|
||||
- link: https://qiita.com/mtitg/items/47770e9a562dd150631d
|
||||
title: FastAPI|DB接続してCRUDするPython製APIサーバーを構築
|
||||
author_link: https://qiita.com/mtitg
|
||||
author: "@mtitg"
|
||||
- link: https://qiita.com/ryoryomaru/items/59958ed385b3571d50de
|
||||
title: python製の最新APIフレームワーク FastAPI を触ってみた
|
||||
author_link: https://qiita.com/ryoryomaru
|
||||
author: "@ryoryomaru"
|
||||
- link: https://qiita.com/angel_katayoku/items/0e1f5dbbe62efc612a78
|
||||
title: FastAPIでCORSを回避
|
||||
author_link: https://qiita.com/angel_katayoku
|
||||
author: "@angel_katayoku"
|
||||
- link: https://qiita.com/angel_katayoku/items/4fbc1a4e2b33fa2237d2
|
||||
title: FastAPIをMySQLと接続してDockerで管理してみる
|
||||
author_link: https://qiita.com/angel_katayoku
|
||||
author: "@angel_katayoku"
|
||||
- link: https://qiita.com/angel_katayoku/items/8a458a8952f50b73f420
|
||||
title: FastAPIでPOSTされたJSONのレスポンスbodyを受け取る
|
||||
author_link: https://qiita.com/angel_katayoku
|
||||
author: "@angel_katayoku"
|
||||
- link: https://qiita.com/hikarut/items/b178af2e2440c67c6ac4
|
||||
title: フロントエンド開発者向けのDockerによるPython開発環境構築
|
||||
author_link: https://qiita.com/hikarut
|
||||
author: Hikaru Takahashi
|
||||
- link: https://rightcode.co.jp/blog/information-technology/fastapi-tutorial-todo-apps-environment
|
||||
title: "【第1回】FastAPIチュートリアル: ToDoアプリを作ってみよう【環境構築編】"
|
||||
author_link: https://rightcode.co.jp/author/jun
|
||||
author: ライトコードメディア編集部
|
||||
- link: https://rightcode.co.jp/blog/information-technology/fastapi-tutorial-todo-apps-model-building
|
||||
title: "【第2回】FastAPIチュートリアル: ToDoアプリを作ってみよう【モデル構築編】"
|
||||
author_link: https://rightcode.co.jp/author/jun
|
||||
author: ライトコードメディア編集部
|
||||
- link: https://rightcode.co.jp/blog/information-technology/fastapi-tutorial-todo-apps-authentication-user-registration
|
||||
title: "【第3回】FastAPIチュートリアル: toDoアプリを作ってみよう【認証・ユーザ登録編】"
|
||||
author_link: https://rightcode.co.jp/author/jun
|
||||
author: ライトコードメディア編集部
|
||||
- link: https://rightcode.co.jp/blog/information-technology/fastapi-tutorial-todo-apps-admin-page-improvement
|
||||
title: "【第4回】FastAPIチュートリアル: toDoアプリを作ってみよう【管理者ページ改良編】"
|
||||
author_link: https://rightcode.co.jp/author/jun
|
||||
author: ライトコードメディア編集部
|
||||
- link: https://qiita.com/bee2/items/0ad260ab9835a2087dae
|
||||
title: PythonのWeb frameworkのパフォーマンス比較 (Django, Flask, responder, FastAPI, japronto)
|
||||
author_link: https://qiita.com/bee2
|
||||
author: "@bee2"
|
||||
- link: https://qiita.com/bee2/items/75d9c0d7ba20e7a4a0e9
|
||||
title: "[FastAPI] Python製のASGI Web フレームワーク FastAPIに入門する"
|
||||
author_link: https://qiita.com/bee2
|
||||
author: "@bee2"
|
||||
vietnamese:
|
||||
- link: https://fullstackstation.com/fastapi-trien-khai-bang-docker/
|
||||
title: "FASTAPI: TRIỂN KHAI BẰNG DOCKER"
|
||||
author_link: https://fullstackstation.com/author/figonking/
|
||||
author: Nguyễn Nhân
|
||||
russian:
|
||||
- link: https://habr.com/ru/post/454440/
|
||||
title: "Мелкая питонячая радость #2: Starlette - Солидная примочка – FastAPI"
|
||||
author_link: https://habr.com/ru/users/57uff3r/
|
||||
author: Andrey Korchak
|
||||
- link: https://habr.com/ru/post/478620/
|
||||
title: Почему Вы должны попробовать FastAPI?
|
||||
author_link: https://github.com/prostomarkeloff
|
||||
author: prostomarkeloff
|
||||
german:
|
||||
- link: https://blog.codecentric.de/2019/08/inbetriebnahme-eines-scikit-learn-modells-mit-onnx-und-fastapi/
|
||||
title: Inbetriebnahme eines scikit-learn-Modells mit ONNX und FastAPI
|
||||
author_link: https://twitter.com/_nicoax
|
||||
author: Nico Axtmann
|
||||
podcasts:
|
||||
english:
|
||||
- link: https://pythonbytes.fm/episodes/show/123/time-to-right-the-py-wrongs?time_in_sec=855
|
||||
title: FastAPI on PythonBytes
|
||||
author_link: https://pythonbytes.fm/
|
||||
author: Python Bytes FM
|
||||
- link: https://www.pythonpodcast.com/fastapi-web-application-framework-episode-259/
|
||||
title: "Build The Next Generation Of Python Web Applications With FastAPI - Episode 259 - interview to Sebastían Ramírez (tiangolo)"
|
||||
author_link: https://www.pythonpodcast.com/
|
||||
author: Podcast.`__init__`
|
||||
talks:
|
||||
english:
|
||||
- link: https://www.youtube.com/watch?v=3DLwPcrE5mA
|
||||
title: "PyCon UK 2019: FastAPI from the ground up"
|
||||
author_link: https://twitter.com/chriswithers13
|
||||
author: Chris Withers
|
||||
- link: https://www.youtube.com/watch?v=z9K5pwb0rt8
|
||||
title: "PyConBY 2020: Serve ML models easily with FastAPI"
|
||||
author_link: https://twitter.com/tiangolo
|
||||
author: "Sebastián Ramírez (tiangolo)"
|
||||
- link: https://www.youtube.com/watch?v=PnpTY1f4k2U
|
||||
title: "[VIRTUAL] Py.Amsterdam's flying Software Circus: Intro to FastAPI"
|
||||
author_link: https://twitter.com/tiangolo
|
||||
author: "Sebastián Ramírez (tiangolo)"
|
||||
@@ -168,7 +168,7 @@ You can use this same `responses` parameter to add different media types for the
|
||||
|
||||
For example, you can add an additional media type of `image/png`, declaring that your *path operation* can return a JSON object (with media type `application/json`) or a PNG image:
|
||||
|
||||
```Python hl_lines="17 18 19 20 21 22 23 24 28"
|
||||
```Python hl_lines="19 20 21 22 23 24 28"
|
||||
{!../../../docs_src/additional_responses/tutorial002.py!}
|
||||
```
|
||||
|
||||
@@ -228,7 +228,7 @@ You can use that technique to re-use some predefined responses in your *path ope
|
||||
|
||||
For example:
|
||||
|
||||
```Python hl_lines="11 12 13 14 15 24"
|
||||
```Python hl_lines="13 14 15 16 17 26"
|
||||
{!../../../docs_src/additional_responses/tutorial004.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -14,7 +14,7 @@ But you also want it to accept new items. And when the items didn't exist before
|
||||
|
||||
To achieve that, import `JSONResponse`, and return your content there directly, setting the `status_code` that you want:
|
||||
|
||||
```Python hl_lines="2 19"
|
||||
```Python hl_lines="4 23"
|
||||
{!../../../docs_src/additional_status_codes/tutorial001.py!}
|
||||
```
|
||||
|
||||
|
||||
100
docs/en/docs/advanced/async-tests.md
Normal file
@@ -0,0 +1,100 @@
|
||||
# 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.
|
||||
|
||||
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.
|
||||
|
||||
Let's look at how we can make that work.
|
||||
|
||||
## pytest-asyncio
|
||||
|
||||
If we want to call asynchronous functions in our tests, our test functions have to be asynchronous. Pytest provides a neat library for this, called `pytest-asyncio`, that allows us to specify that some test functions are to be called asynchronously.
|
||||
|
||||
You can install it via:
|
||||
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
$ pip install pytest-asyncio
|
||||
|
||||
---> 100%
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
## HTTPX
|
||||
|
||||
Even if your **FastAPI** application uses normal `def` functions instead of `async def`, it is still an `async` application underneath.
|
||||
|
||||
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.
|
||||
|
||||
## Example
|
||||
|
||||
For a simple example, let's consider the following `main.py` module:
|
||||
|
||||
```Python
|
||||
{!../../../docs_src/async_tests/main.py!}
|
||||
```
|
||||
|
||||
The `test_main.py` module that contains the tests for `main.py` could look like this now:
|
||||
|
||||
```Python
|
||||
{!../../../docs_src/async_tests/test_main.py!}
|
||||
```
|
||||
|
||||
## Run it
|
||||
|
||||
You can run your tests as usual via:
|
||||
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
$ pytest
|
||||
|
||||
---> 100%
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
## In Detail
|
||||
|
||||
The marker `@pytest.mark.asyncio` tells pytest that this test function should be called asynchronously:
|
||||
|
||||
```Python hl_lines="7"
|
||||
{!../../../docs_src/async_tests/test_main.py!}
|
||||
```
|
||||
|
||||
!!! tip
|
||||
Note that the test function is now `async def` instead of just `def` as before when using the `TestClient`.
|
||||
|
||||
Then we can create an `AsyncClient` with the app, and send async requests to it, using `await`.
|
||||
|
||||
```Python hl_lines="9 10"
|
||||
{!../../../docs_src/async_tests/test_main.py!}
|
||||
```
|
||||
|
||||
This is the equivalent to:
|
||||
|
||||
```Python
|
||||
response = client.get('/')
|
||||
```
|
||||
|
||||
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.
|
||||
|
||||
## Other Asynchronous Function Calls
|
||||
|
||||
As the testing function is now asynchronous, you can now also call (and `await`) other `async` functions apart from sending requests to your FastAPI application in your tests, exactly as you would call them anywhere else in your code.
|
||||
|
||||
!!! tip
|
||||
If you encounter a `RuntimeError: Task attached to a different loop` when integrating asynchronous function calls in your tests (e.g. when using <a href="https://stackoverflow.com/questions/41584243/runtimeerror-task-attached-to-a-different-loop" class="external-link" target="_blank">MongoDB's MotorClient</a>) check out <a href="https://github.com/pytest-dev/pytest-asyncio/issues/38#issuecomment-264418154" class="external-link" target="_blank">this issue</a> in the pytest-asyncio repository.
|
||||
346
docs/en/docs/advanced/behind-a-proxy.md
Normal file
@@ -0,0 +1,346 @@
|
||||
# Behind a Proxy
|
||||
|
||||
In some situations, you might need to use a **proxy** server like Traefik or Nginx with a configuration that adds an extra path prefix that is not seen by your application.
|
||||
|
||||
In these cases you can use `root_path` to configure your application.
|
||||
|
||||
The `root_path` is a mechanism provided by the ASGI specification (that FastAPI is built on, through Starlette).
|
||||
|
||||
The `root_path` is used to handle these specific cases.
|
||||
|
||||
And it's also used internally when mounting sub-applications.
|
||||
|
||||
## Proxy with a stripped path prefix
|
||||
|
||||
Having a proxy with a stripped path prefix, in this case, means that you could declare a path at `/app` in your code, but then, you add a layer on top (the proxy) that would put your **FastAPI** application under a path like `/api/v1`.
|
||||
|
||||
In this case, the original path `/app` would actually be served at `/api/v1/app`.
|
||||
|
||||
Even though all your code is written assuming there's just `/app`.
|
||||
|
||||
And the proxy would be **"stripping"** the **path prefix** on the fly before transmitting the request to Uvicorn, keep your application convinced that it is serving at `/app`, so that you don't have to update all your code to include the prefix `/api/v1`.
|
||||
|
||||
Up to here, everything would work as normally.
|
||||
|
||||
But then, when you open the integrated docs UI (the frontend), it would expect to get the OpenAPI schema at `/openapi.json`, instead of `/api/v1/openapi.json`.
|
||||
|
||||
So, the frontend (that runs in the browser) would try to reach `/openapi.json` and wouldn't be able to get the OpenAPI schema.
|
||||
|
||||
Because we have a proxy with a path prefix of `/api/v1` for our app, the frontend needs to fetch the OpenAPI schema at `/api/v1/openapi.json`.
|
||||
|
||||
```mermaid
|
||||
graph LR
|
||||
|
||||
browser("Browser")
|
||||
proxy["Proxy on http://0.0.0.0:9999/api/v1/app"]
|
||||
server["Server on http://127.0.0.1:8000/app"]
|
||||
|
||||
browser --> proxy
|
||||
proxy --> server
|
||||
```
|
||||
|
||||
!!! tip
|
||||
The IP `0.0.0.0` is commonly used to mean that the program listens on all the IPs available in that machine/server.
|
||||
|
||||
The docs UI would also need the OpenAPI schema to declare that this API `server` is located at `/api/v1` (behind the proxy). For example:
|
||||
|
||||
```JSON hl_lines="4 5 6 7 8"
|
||||
{
|
||||
"openapi": "3.0.2",
|
||||
// More stuff here
|
||||
"servers": [
|
||||
{
|
||||
"url": "/api/v1"
|
||||
}
|
||||
],
|
||||
"paths": {
|
||||
// More stuff here
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
In this example, the "Proxy" could be something like **Traefik**. And the server would be something like **Uvicorn**, running your FastAPI application.
|
||||
|
||||
### Providing the `root_path`
|
||||
|
||||
To achieve this, you can use the command line option `--root-path` like:
|
||||
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
$ uvicorn main:app --root-path /api/v1
|
||||
|
||||
<span style="color: green;">INFO</span>: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
If you use Hypercorn, it also has the option `--root-path`.
|
||||
|
||||
!!! note "Technical Details"
|
||||
The ASGI specification defines a `root_path` for this use case.
|
||||
|
||||
And the `--root-path` command line option provides that `root_path`.
|
||||
|
||||
### Checking the current `root_path`
|
||||
|
||||
You can get the current `root_path` used by your application for each request, it is part of the `scope` dictionary (that's part of the ASGI spec).
|
||||
|
||||
Here we are including it in the message just for demonstration purposes.
|
||||
|
||||
```Python hl_lines="8"
|
||||
{!../../../docs_src/behind_a_proxy/tutorial001.py!}
|
||||
```
|
||||
|
||||
Then, if you start Uvicorn with:
|
||||
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
$ uvicorn main:app --root-path /api/v1
|
||||
|
||||
<span style="color: green;">INFO</span>: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
The response would be something like:
|
||||
|
||||
```JSON
|
||||
{
|
||||
"message": "Hello World",
|
||||
"root_path": "/api/v1"
|
||||
}
|
||||
```
|
||||
|
||||
### Setting the `root_path` in the FastAPI app
|
||||
|
||||
Alternatively, if you don't have a way to provide a command line option like `--root-path` or equivalent, you can set the `root_path` parameter when creating your FastAPI app:
|
||||
|
||||
```Python hl_lines="3"
|
||||
{!../../../docs_src/behind_a_proxy/tutorial002.py!}
|
||||
```
|
||||
|
||||
Passing the `root_path` to `FastAPI` would be the equivalent of passing the `--root-path` command line option to Uvicorn or Hypercorn.
|
||||
|
||||
### About `root_path`
|
||||
|
||||
Have in mind that the server (Uvicorn) won't use that `root_path` for anything else than passing it to the app.
|
||||
|
||||
But if you go with your browser to <a href="http://127.0.0.1:8000" class="external-link" target="_blank">http://127.0.0.1:8000/app</a> you will see the normal response:
|
||||
|
||||
```JSON
|
||||
{
|
||||
"message": "Hello World",
|
||||
"root_path": "/api/v1"
|
||||
}
|
||||
```
|
||||
|
||||
So, it won't expect to be accessed at `http://127.0.0.1:8000/api/v1/app`.
|
||||
|
||||
Uvicorn will expect the proxy to access Uvicorn at `http://127.0.0.1:8000/app`, and then it would be the proxy's responsibility to add the extra `/api/v1` prefix on top.
|
||||
|
||||
## About proxies with a stripped path prefix
|
||||
|
||||
Have in mind that a proxy with stripped path prefix is only one of the ways to configure it.
|
||||
|
||||
Probably in many cases the default will be that the proxy doesn't have a stripped path prefix.
|
||||
|
||||
In a case like that (without a stripped path prefix), the proxy would listen on something like `https://myawesomeapp.com`, and then if the browser goes to `https://myawesomeapp.com/api/v1/app` and your server (e.g. Uvicorn) listens on `http://127.0.0.1:8000` the proxy (without a stripped path prefix) would access Uvicorn at the same path: `http://127.0.0.1:8000/api/v1/app`.
|
||||
|
||||
## Testing locally with Traefik
|
||||
|
||||
You can easily run the experiment locally with a stripped path prefix using <a href="https://docs.traefik.io/" class="external-link" target="_blank">Traefik</a>.
|
||||
|
||||
<a href="https://github.com/containous/traefik/releases" class="external-link" target="_blank">Download Traefik</a>, it's a single binary, you can extract the compressed file and run it directly from the terminal.
|
||||
|
||||
Then create a file `traefik.toml` with:
|
||||
|
||||
```TOML hl_lines="3"
|
||||
[entryPoints]
|
||||
[entryPoints.http]
|
||||
address = ":9999"
|
||||
|
||||
[providers]
|
||||
[providers.file]
|
||||
filename = "routes.toml"
|
||||
```
|
||||
|
||||
This tells Traefik to listen on port 9999 and to use another file `routes.toml`.
|
||||
|
||||
!!! tip
|
||||
We are using port 9999 instead of the standard HTTP port 80 so that you don't have to run it with admin (`sudo`) privileges.
|
||||
|
||||
Now create that other file `routes.toml`:
|
||||
|
||||
```TOML hl_lines="5 12 20"
|
||||
[http]
|
||||
[http.middlewares]
|
||||
|
||||
[http.middlewares.api-stripprefix.stripPrefix]
|
||||
prefixes = ["/api/v1"]
|
||||
|
||||
[http.routers]
|
||||
|
||||
[http.routers.app-http]
|
||||
entryPoints = ["http"]
|
||||
service = "app"
|
||||
rule = "PathPrefix(`/api/v1`)"
|
||||
middlewares = ["api-stripprefix"]
|
||||
|
||||
[http.services]
|
||||
|
||||
[http.services.app]
|
||||
[http.services.app.loadBalancer]
|
||||
[[http.services.app.loadBalancer.servers]]
|
||||
url = "http://127.0.0.1:8000"
|
||||
```
|
||||
|
||||
This file configures Traefik to use the path prefix `/api/v1`.
|
||||
|
||||
And then it will redirect its requests to your Uvicorn running on `http://127.0.0.1:8000`.
|
||||
|
||||
Now start Traefik:
|
||||
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
$ ./traefik --configFile=traefik.toml
|
||||
|
||||
INFO[0000] Configuration loaded from file: /home/user/awesomeapi/traefik.toml
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
And now start your app with Uvicorn, using the `--root-path` option:
|
||||
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
$ uvicorn main:app --root-path /api/v1
|
||||
|
||||
<span style="color: green;">INFO</span>: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
### Check the responses
|
||||
|
||||
Now, if you go to the URL with the port for Uvicorn: <a href="http://127.0.0.1:8000/app" class="external-link" target="_blank">http://127.0.0.1:8000/app</a>, you will see the normal response:
|
||||
|
||||
```JSON
|
||||
{
|
||||
"message": "Hello World",
|
||||
"root_path": "/api/v1"
|
||||
}
|
||||
```
|
||||
|
||||
!!! tip
|
||||
Notice that even though you are accessing it at `http://127.0.0.1:8000/app` it shows the `root_path` of `/api/v1`, taken from the option `--root-path`.
|
||||
|
||||
And now open the URL with the port for Traefik, including the path prefix: <a href="http://127.0.0.1:9999/api/v1/app" class="external-link" target="_blank">http://127.0.0.1:9999/api/v1/app</a>.
|
||||
|
||||
We get the same response:
|
||||
|
||||
```JSON
|
||||
{
|
||||
"message": "Hello World",
|
||||
"root_path": "/api/v1"
|
||||
}
|
||||
```
|
||||
|
||||
but this time at the URL with the prefix path provided by the proxy: `/api/v1`.
|
||||
|
||||
Of course, the idea here is that everyone would access the app through the proxy, so the version with the path prefix `/app/v1` is the "correct" one.
|
||||
|
||||
And the version without the path prefix (`http://127.0.0.1:8000/app`), provided by Uvicorn directly, would be exclusively for the _proxy_ (Traefik) to access it.
|
||||
|
||||
That demonstrates how the Proxy (Traefik) uses the path prefix and how the server (Uvicorn) uses the `root_path` from the option `--root-path`.
|
||||
|
||||
### Check the docs UI
|
||||
|
||||
But here's the fun part. ✨
|
||||
|
||||
The "official" way to access the app would be through the proxy with the path prefix that we defined. So, as we would expect, if you try the docs UI served by Uvicorn directly, without the path prefix in the URL, it won't work, because it expects to be accessed through the proxy.
|
||||
|
||||
You can check it at <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>:
|
||||
|
||||
<img src="/img/tutorial/behind-a-proxy/image01.png">
|
||||
|
||||
But if we access the docs UI at the "official" URL using the proxy with port `9999`, at `/api/v1/docs`, it works correctly! 🎉
|
||||
|
||||
You can check it at <a href="http://127.0.0.1:9999/api/v1/docs" class="external-link" target="_blank">http://127.0.0.1:9999/api/v1/docs</a>:
|
||||
|
||||
<img src="/img/tutorial/behind-a-proxy/image02.png">
|
||||
|
||||
Right as we wanted it. ✔️
|
||||
|
||||
This is because FastAPI uses this `root_path` to create the default `server` in OpenAPI with the URL provided by `root_path`.
|
||||
|
||||
## Additional servers
|
||||
|
||||
!!! warning
|
||||
This is a more advanced use case. Feel free to skip it.
|
||||
|
||||
By default, **FastAPI** will create a `server` in the OpenAPI schema with the URL for the `root_path`.
|
||||
|
||||
But you can also provide other alternative `servers`, for example if you want *the same* docs UI to interact with a staging and production environments.
|
||||
|
||||
If you pass a custom list of `servers` and there's a `root_path` (because your API lives behind a proxy), **FastAPI** will insert a "server" with this `root_path` at the beginning of the list.
|
||||
|
||||
For example:
|
||||
|
||||
```Python hl_lines="4 5 6 7"
|
||||
{!../../../docs_src/behind_a_proxy/tutorial003.py!}
|
||||
```
|
||||
|
||||
Will generate an OpenAPI schema like:
|
||||
|
||||
```JSON hl_lines="5 6 7"
|
||||
{
|
||||
"openapi": "3.0.2",
|
||||
// More stuff here
|
||||
"servers": [
|
||||
{
|
||||
"url": "/api/v1"
|
||||
},
|
||||
{
|
||||
"url": "https://stag.example.com",
|
||||
"description": "Staging environment"
|
||||
},
|
||||
{
|
||||
"url": "https://prod.example.com",
|
||||
"description": "Production environment"
|
||||
}
|
||||
],
|
||||
"paths": {
|
||||
// More stuff here
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
!!! tip
|
||||
Notice the auto-generated server with a `url` value of `/api/v1`, taken from the `root_path`.
|
||||
|
||||
In the docs UI at <a href="http://127.0.0.1:9999/api/v1/docs" class="external-link" target="_blank">http://127.0.0.1:9999/api/v1/docs</a> it would look like:
|
||||
|
||||
<img src="/img/tutorial/behind-a-proxy/image03.png">
|
||||
|
||||
!!! tip
|
||||
The docs UI will interact with the server that you select.
|
||||
|
||||
### Disable automatic server from `root_path`
|
||||
|
||||
If you don't want **FastAPI** to include an automatic server using the `root_path`, you can use the parameter `root_path_in_servers=False`:
|
||||
|
||||
```Python hl_lines="9"
|
||||
{!../../../docs_src/behind_a_proxy/tutorial004.py!}
|
||||
```
|
||||
|
||||
and then it won't include it in the OpenAPI schema.
|
||||
|
||||
## Mounting a sub-application
|
||||
|
||||
If you need to mount a sub-application (as described in [Sub Applications - Mounts](./sub-applications.md){.internal-link target=_blank}) while also using a proxy with `root_path`, you can do it normally, as you would expect.
|
||||
|
||||
FastAPI will internally use the `root_path` smartly, so it will just work. ✨
|
||||
58
docs/en/docs/advanced/conditional-openapi.md
Normal file
@@ -0,0 +1,58 @@
|
||||
# Conditional OpenAPI
|
||||
|
||||
If you needed to, you could use settings and environment variables to configure OpenAPI conditionally depending on the environment, and even disable it entirely.
|
||||
|
||||
## About security, APIs, and docs
|
||||
|
||||
Hiding your documentation user interfaces in production *shouldn't* be the way to protect your API.
|
||||
|
||||
That doesn't add any extra security to your API, the *path operations* will still be available where they are.
|
||||
|
||||
If there's a security flaw in your code, it will still exist.
|
||||
|
||||
Hiding the documentation just makes it more difficult to understand how to interact with your API, and could make it more difficult for you to debug it in production. It could be considered simply a form of <a href="https://en.wikipedia.org/wiki/Security_through_obscurity" class="external-link" target="_blank">Security through obscurity</a>.
|
||||
|
||||
If you want to secure your API, there are several better things you can do, for example:
|
||||
|
||||
* Make sure you have well defined Pydantic models for your request bodies and responses.
|
||||
* Configure any required permissions and roles using dependencies.
|
||||
* Never store plaintext passwords, only password hashes.
|
||||
* Implement and use well-known cryptographic tools, like Passlib and JWT tokens, etc.
|
||||
* Add more granular permission controls with OAuth2 scopes where needed.
|
||||
* ...etc.
|
||||
|
||||
Nevertheless, you might have a very specific use case where you really need to disable the API docs for some environment (e.g. for production) or depending on configurations from environment variables.
|
||||
|
||||
## Conditional OpenAPI from settings and env vars
|
||||
|
||||
You can easily use the same Pydantic settings to configure your generated OpenAPI and the docs UIs.
|
||||
|
||||
For example:
|
||||
|
||||
```Python hl_lines="6 11"
|
||||
{!../../../docs_src/conditional_openapi/tutorial001.py!}
|
||||
```
|
||||
|
||||
Here we declare the setting `openapi_url` with the same default of `"/openapi.json"`.
|
||||
|
||||
And then we use it when creating the `FastAPI` app.
|
||||
|
||||
Then you could disable OpenAPI (including the UI docs) by setting the environment variable `OPENAPI_URL` to the empty string, like:
|
||||
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
$ OPENAPI_URL= uvicorn main:app
|
||||
|
||||
<span style="color: green;">INFO</span>: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
Then if you go to the URLs at `/openapi.json`, `/docs`, or `/redoc` you will just get a `404 Not Found` error like:
|
||||
|
||||
```JSON
|
||||
{
|
||||
"detail": "Not Found"
|
||||
}
|
||||
```
|
||||
@@ -203,6 +203,21 @@ File responses will include appropriate `Content-Length`, `Last-Modified` and `E
|
||||
{!../../../docs_src/custom_response/tutorial009.py!}
|
||||
```
|
||||
|
||||
## Default response class
|
||||
|
||||
When creating a **FastAPI** class instance or an `APIRouter` you can specify which response class to use by default.
|
||||
|
||||
The parameter that defines this is `default_response_class`.
|
||||
|
||||
In the example below, **FastAPI** will use `ORJSONResponse` by default, in all *path operations*, instead of `JSONResponse`.
|
||||
|
||||
```Python hl_lines="2 4"
|
||||
{!../../../docs_src/custom_response/tutorial010.py!}
|
||||
```
|
||||
|
||||
!!! tip
|
||||
You can still override `response_class` in *path operations* as before.
|
||||
|
||||
## Additional documentation
|
||||
|
||||
You can also declare the media type and many other details in OpenAPI using `responses`: [Additional Responses in OpenAPI](additional-responses.md){.internal-link target=_blank}.
|
||||
|
||||
@@ -4,6 +4,9 @@ You can define event handlers (functions) that need to be executed before the ap
|
||||
|
||||
These functions can be declared with `async def` or normal `def`.
|
||||
|
||||
!!! warning
|
||||
Only event handlers for the main application will be executed, not for [Sub Applications - Mounts](./sub-applications.md){.internal-link target=_blank}.
|
||||
|
||||
## `startup` event
|
||||
|
||||
To add a function that should be run before the application starts, declare it with the event `"startup"`:
|
||||
@@ -41,4 +44,4 @@ Here, the `shutdown` event handler function will write a text line `"Application
|
||||
So, we declare the event handler function with standard `def` instead of `async def`.
|
||||
|
||||
!!! info
|
||||
You can read more about these event handlers in <a href="https://www.starlette.io/events/" class="external-link" target="_blank">Starlette's Events' docs</a>.
|
||||
You can read more about these event handlers in <a href="https://www.starlette.io/events/" class="external-link" target="_blank">Starlette's Events' docs</a>.
|
||||
|
||||
@@ -32,7 +32,6 @@ And that function `get_openapi()` receives as parameters:
|
||||
* `openapi_version`: The version of the OpenAPI specification used. By default, the latest: `3.0.2`.
|
||||
* `description`: The description of your API.
|
||||
* `routes`: A list of routes, these are each of the registered *path operations*. They are taken from `app.routes`.
|
||||
* `openapi_prefix`: The URL prefix to be used in your OpenAPI.
|
||||
|
||||
## Overriding the defaults
|
||||
|
||||
@@ -52,7 +51,7 @@ First, write all your **FastAPI** application as normally:
|
||||
|
||||
Then, use the same utility function to generate the OpenAPI schema, inside a `custom_openapi()` function:
|
||||
|
||||
```Python hl_lines="2 15 16 17 18 19 20"
|
||||
```Python hl_lines="2 15 16 17 18 19 20"
|
||||
{!../../../docs_src/extending_openapi/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -72,7 +71,7 @@ That way, your application won't have to generate the schema every time a user o
|
||||
|
||||
It will be generated only once, and then the same cached schema will be used for the next requests.
|
||||
|
||||
```Python hl_lines="13 14 24 25"
|
||||
```Python hl_lines="13 14 24 25"
|
||||
{!../../../docs_src/extending_openapi/tutorial001.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -16,3 +16,9 @@ In the next sections you will see other options, configurations, and additional
|
||||
You could still use most of the features in **FastAPI** with the knowledge from the main [Tutorial - User Guide](../tutorial/){.internal-link target=_blank}.
|
||||
|
||||
And the next sections assume you already read it, and assume that you know those main ideas.
|
||||
|
||||
## TestDriven.io course
|
||||
|
||||
If you would like to take an advanced-beginner course to complement this section of the docs, you might want to check: <a href="https://testdriven.io/courses/tdd-fastapi/" class="external-link" target="_blank">Test-Driven Development with FastAPI and Docker</a> by **TestDriven.io**.
|
||||
|
||||
They are currently donating 10% of all profits to the development of **FastAPI**. 🎉 😄
|
||||
|
||||
@@ -19,7 +19,7 @@ You can adapt it to any other NoSQL database like:
|
||||
|
||||
For now, don't pay attention to the rest, only the imports:
|
||||
|
||||
```Python hl_lines="6 7 8"
|
||||
```Python hl_lines="3 4 5"
|
||||
{!../../../docs_src/nosql_databases/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -29,7 +29,7 @@ We will use it later as a fixed field `type` in our documents.
|
||||
|
||||
This is not required by Couchbase, but is a good practice that will help you afterwards.
|
||||
|
||||
```Python hl_lines="10"
|
||||
```Python hl_lines="9"
|
||||
{!../../../docs_src/nosql_databases/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -54,7 +54,7 @@ This utility function will:
|
||||
* Set defaults for timeouts.
|
||||
* Return it.
|
||||
|
||||
```Python hl_lines="13 14 15 16 17 18 19 20 21 22"
|
||||
```Python hl_lines="12 13 14 15 16 17 18 19 20 21"
|
||||
{!../../../docs_src/nosql_databases/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -66,7 +66,7 @@ As **Couchbase** "documents" are actually just "JSON objects", we can model them
|
||||
|
||||
First, let's create a `User` model:
|
||||
|
||||
```Python hl_lines="25 26 27 28 29"
|
||||
```Python hl_lines="24 25 26 27 28"
|
||||
{!../../../docs_src/nosql_databases/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -80,7 +80,7 @@ This will have the data that is actually stored in the database.
|
||||
|
||||
We don't create it as a subclass of Pydantic's `BaseModel` but as a subclass of our own `User`, because it will have all the attributes in `User` plus a couple more:
|
||||
|
||||
```Python hl_lines="32 33 34"
|
||||
```Python hl_lines="31 32 33"
|
||||
{!../../../docs_src/nosql_databases/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -100,7 +100,7 @@ Now create a function that will:
|
||||
|
||||
By creating a function that is only dedicated to getting your user from a `username` (or any other parameter) independent of your *path operation function*, you can more easily re-use it in multiple parts and also add <abbr title="Automated test, written in code, that checks if another piece of code is working correctly.">unit tests</abbr> for it:
|
||||
|
||||
```Python hl_lines="37 38 39 40 41 42 43"
|
||||
```Python hl_lines="36 37 38 39 40 41 42"
|
||||
{!../../../docs_src/nosql_databases/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -135,7 +135,7 @@ UserInDB(username="johndoe", hashed_password="some_hash")
|
||||
|
||||
### Create the `FastAPI` app
|
||||
|
||||
```Python hl_lines="47"
|
||||
```Python hl_lines="46"
|
||||
{!../../../docs_src/nosql_databases/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -145,7 +145,7 @@ As our code is calling Couchbase and we are not using the <a href="https://docs.
|
||||
|
||||
Also, Couchbase recommends not using a single `Bucket` object in multiple "<abbr title="A sequence of code being executed by the program, while at the same time, or at intervals, there can be others being executed too.">thread</abbr>s", so, we can get just get the bucket directly and pass it to our utility functions:
|
||||
|
||||
```Python hl_lines="50 51 52 53 54"
|
||||
```Python hl_lines="49 50 51 52 53"
|
||||
{!../../../docs_src/nosql_databases/tutorial001.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -31,7 +31,7 @@ It will have a *path operation* that will receive an `Invoice` body, and a query
|
||||
|
||||
This part is pretty normal, most of the code is probably already familiar to you:
|
||||
|
||||
```Python hl_lines="8 9 10 11 12 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53"
|
||||
```Python hl_lines="10 11 12 13 14 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54"
|
||||
{!../../../docs_src/openapi_callbacks/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -92,7 +92,7 @@ Because of that, you need to declare what will be the `default_response_class`,
|
||||
|
||||
But as we are never calling `app.include_router(some_router)`, we need to set the `default_response_class` during creation of the `APIRouter`.
|
||||
|
||||
```Python hl_lines="3 24"
|
||||
```Python hl_lines="5 26"
|
||||
{!../../../docs_src/openapi_callbacks/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -105,7 +105,7 @@ It should look just like a normal FastAPI *path operation*:
|
||||
* It should probably have a declaration of the body it should receive, e.g. `body: InvoiceEvent`.
|
||||
* And it could also have a declaration of the response it should return, e.g. `response_model=InvoiceEventReceived`.
|
||||
|
||||
```Python hl_lines="15 16 17 20 21 27 28 29 30 31"
|
||||
```Python hl_lines="17 18 19 22 23 29 30 31 32 33"
|
||||
{!../../../docs_src/openapi_callbacks/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -172,7 +172,7 @@ At this point you have the *callback path operation(s)* needed (the one(s) that
|
||||
|
||||
Now use the parameter `callbacks` in *your API's path operation decorator* to pass the attribute `.routes` (that's actually just a `list` of routes/*path operations*) from that callback router:
|
||||
|
||||
```Python hl_lines="34"
|
||||
```Python hl_lines="36"
|
||||
{!../../../docs_src/openapi_callbacks/tutorial001.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -31,7 +31,7 @@ For example, you cannot put a Pydantic model in a `JSONResponse` without first c
|
||||
|
||||
For those cases, you can use the `jsonable_encoder` to convert your data before passing it to a response:
|
||||
|
||||
```Python hl_lines="4 6 20 21"
|
||||
```Python hl_lines="6 7 21 22"
|
||||
{!../../../docs_src/response_directly/tutorial001.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -54,9 +54,9 @@ But by using the `secrets.compare_digest()` it will be secure against a type of
|
||||
|
||||
But what's a "timing attack"?
|
||||
|
||||
Let's imagine an attacker is trying to guess the username and password.
|
||||
Let's imagine some attackers are trying to guess the username and password.
|
||||
|
||||
And that attacker sends a request with a username `johndoe` and a password `love123`.
|
||||
And they send a request with a username `johndoe` and a password `love123`.
|
||||
|
||||
Then the Python code in your application would be equivalent to something like:
|
||||
|
||||
@@ -67,7 +67,7 @@ if "johndoe" == "stanleyjobson" and "love123" == "swordfish":
|
||||
|
||||
But right at the moment Python compares the first `j` in `johndoe` to the first `s` in `stanleyjobson`, it will return `False`, because it already knows that those two strings are not the same, thinking that "there's no need to waste more computation comparing the rest of the letters". And your application will say "incorrect user or password".
|
||||
|
||||
But then the attacker tries with username `stanleyjobsox` and password `love123`.
|
||||
But then the attackers try with username `stanleyjobsox` and password `love123`.
|
||||
|
||||
And your application code does something like:
|
||||
|
||||
@@ -78,17 +78,17 @@ if "stanleyjobsox" == "stanleyjobson" and "love123" == "swordfish":
|
||||
|
||||
Python will have to compare the whole `stanleyjobso` in both `stanleyjobsox` and `stanleyjobson` before realizing that both strings are not the same. So it will take some extra microseconds to reply back "incorrect user or password".
|
||||
|
||||
#### The time to answer helps the attacker
|
||||
#### The time to answer helps the attackers
|
||||
|
||||
At that point, by noticing that the server took some microseconds longer to send the "incorrect user or password" response, the attacker will know that she/he got _something_ right, some of the initial letters were right.
|
||||
At that point, by noticing that the server took some microseconds longer to send the "incorrect user or password" response, the attackers will know that they got _something_ right, some of the initial letters were right.
|
||||
|
||||
And then she/he can try again knowing that it's probably something more similar to `stanleyjobsox` than to `johndoe`.
|
||||
And then they can try again knowing that it's probably something more similar to `stanleyjobsox` than to `johndoe`.
|
||||
|
||||
#### A "professional" attack
|
||||
|
||||
Of course, the attacker would not try all this by hand, she/he would write a program to do it, possibly with thousands or millions of tests per second. And would get just one extra correct letter at a time.
|
||||
Of course, the attackers would not try all this by hand, they would write a program to do it, possibly with thousands or millions of tests per second. And would get just one extra correct letter at a time.
|
||||
|
||||
But doing that, in some minutes or hours the attacker would have guessed the correct username and password, with the "help" of our application, just using the time taken to answer.
|
||||
But doing that, in some minutes or hours the attackers would have guessed the correct username and password, with the "help" of our application, just using the time taken to answer.
|
||||
|
||||
#### Fix it with `secrets.compare_digest()`
|
||||
|
||||
|
||||
@@ -56,7 +56,7 @@ They are normally used to declare specific security permissions, for example:
|
||||
|
||||
First, let's quickly see the parts that change from the examples in the main **Tutorial - User Guide** for [OAuth2 with Password (and hashing), Bearer with JWT tokens](../../tutorial/security/oauth2-jwt.md){.internal-link target=_blank}. Now using OAuth2 scopes:
|
||||
|
||||
```Python hl_lines="2 5 9 13 47 65 106 108 109 110 111 112 113 114 115 116 122 123 124 125 129 130 131 132 133 134 135 140 154"
|
||||
```Python hl_lines="2 4 8 12 46 64 105 107 108 109 110 111 112 113 114 115 121 122 123 124 128 129 130 131 132 133 134 139 153"
|
||||
{!../../../docs_src/security/tutorial005.py!}
|
||||
```
|
||||
|
||||
@@ -68,7 +68,7 @@ The first change is that now we are declaring the OAuth2 security scheme with tw
|
||||
|
||||
The `scopes` parameter receives a `dict` with each scope as a key and the description as the value:
|
||||
|
||||
```Python hl_lines="63 64 65 66"
|
||||
```Python hl_lines="62 63 64 65"
|
||||
{!../../../docs_src/security/tutorial005.py!}
|
||||
```
|
||||
|
||||
@@ -93,7 +93,7 @@ And we return the scopes as part of the JWT token.
|
||||
|
||||
But in your application, for security, you should make sure you only add the scopes that the user is actually able to have, or the ones you have predefined.
|
||||
|
||||
```Python hl_lines="155"
|
||||
```Python hl_lines="153"
|
||||
{!../../../docs_src/security/tutorial005.py!}
|
||||
```
|
||||
|
||||
@@ -118,7 +118,7 @@ In this case, it requires the scope `me` (it could require more than one scope).
|
||||
|
||||
We are doing it here to demonstrate how **FastAPI** handles scopes declared at different levels.
|
||||
|
||||
```Python hl_lines="5 140 167"
|
||||
```Python hl_lines="4 139 166"
|
||||
{!../../../docs_src/security/tutorial005.py!}
|
||||
```
|
||||
|
||||
@@ -143,7 +143,7 @@ We also declare a special parameter of type `SecurityScopes`, imported from `fas
|
||||
|
||||
This `SecurityScopes` class is similar to `Request` (`Request` was used to get the request object directly).
|
||||
|
||||
```Python hl_lines="9 106"
|
||||
```Python hl_lines="8 105"
|
||||
{!../../../docs_src/security/tutorial005.py!}
|
||||
```
|
||||
|
||||
@@ -159,7 +159,7 @@ We create an `HTTPException` that we can re-use (`raise`) later at several point
|
||||
|
||||
In this exception, we include the scopes required (if any) as a string separated by spaces (using `scope_str`). We put that string containing the scopes in in the `WWW-Authenticate` header (this is part of the spec).
|
||||
|
||||
```Python hl_lines="106 108 109 110 111 112 113 114 115 116"
|
||||
```Python hl_lines="105 107 108 109 110 111 112 113 114 115"
|
||||
{!../../../docs_src/security/tutorial005.py!}
|
||||
```
|
||||
|
||||
@@ -177,7 +177,7 @@ Instead of, for example, a `dict`, or something else, as it could break the appl
|
||||
|
||||
We also verify that we have a user with that username, and if not, we raise that same exception we created before.
|
||||
|
||||
```Python hl_lines="47 117 118 119 120 121 122 123 124 125 126 127 128"
|
||||
```Python hl_lines="46 116 117 118 119 120 121 122 123 124 125 126 127"
|
||||
{!../../../docs_src/security/tutorial005.py!}
|
||||
```
|
||||
|
||||
@@ -187,7 +187,7 @@ We now verify that all the scopes required, by this dependency and all the depen
|
||||
|
||||
For this, we use `security_scopes.scopes`, that contains a `list` with all these scopes as `str`.
|
||||
|
||||
```Python hl_lines="129 130 131 132 133 134 135"
|
||||
```Python hl_lines="128 129 130 131 132 133 134"
|
||||
{!../../../docs_src/security/tutorial005.py!}
|
||||
```
|
||||
|
||||
|
||||
382
docs/en/docs/advanced/settings.md
Normal file
@@ -0,0 +1,382 @@
|
||||
# Settings and Environment Variables
|
||||
|
||||
In many cases your application could need some external settings or configurations, for example secret keys, database credentials, credentials for email services, etc.
|
||||
|
||||
Most of these settings are variable (can change), like database URLs. And many could be sensitive, like secrets.
|
||||
|
||||
For this reason it's common to provide them in environment variables that are read by the application.
|
||||
|
||||
## Environment Variables
|
||||
|
||||
!!! tip
|
||||
If you already know what "environment variables" are and how to use them, feel free to skip to the next section below.
|
||||
|
||||
An <a href="https://en.wikipedia.org/wiki/Environment_variable" class="external-link" target="_blank">environment variable</a> (also known as "env var") is a variable that lives outside of the Python code, in the operating system, and could be read by your Python code (or by other programs as well).
|
||||
|
||||
You can create and use environment variables in the shell, without needing Python:
|
||||
|
||||
=== "Linux, macOS, Windows Bash"
|
||||
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
// You could create an env var MY_NAME with
|
||||
$ export MY_NAME="Wade Wilson"
|
||||
|
||||
// Then you could use it with other programs, like
|
||||
$ echo "Hello $MY_NAME"
|
||||
|
||||
Hello Wade Wilson
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
=== "Windows PowerShell"
|
||||
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
// Create an env var MY_NAME
|
||||
$ $Env:MY_NAME = "Wade Wilson"
|
||||
|
||||
// Use it with other programs, like
|
||||
$ echo "Hello $Env:MY_NAME"
|
||||
|
||||
Hello Wade Wilson
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
### Read env vars in Python
|
||||
|
||||
You could also create environment variables outside of Python, in the terminal (or with any other method), and then read them in Python.
|
||||
|
||||
For example you could have a file `main.py` with:
|
||||
|
||||
```Python hl_lines="3"
|
||||
import os
|
||||
|
||||
name = os.getenv("MY_NAME", "World")
|
||||
print(f"Hello {name} from Python")
|
||||
```
|
||||
|
||||
!!! tip
|
||||
The second argument to <a href="https://docs.python.org/3.8/library/os.html#os.getenv" class="external-link" target="_blank">`os.getenv()`</a> is the default value to return.
|
||||
|
||||
If not provided, it's `None` by default, here we provide `"World"` as the default value to use.
|
||||
|
||||
Then you could call that Python program:
|
||||
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
// Here we don't set the env var yet
|
||||
$ python main.py
|
||||
|
||||
// As we didn't set the env var, we get the default value
|
||||
|
||||
Hello World from Python
|
||||
|
||||
// But if we create an environment variable first
|
||||
$ export MY_NAME="Wade Wilson"
|
||||
|
||||
// And then call the program again
|
||||
$ python main.py
|
||||
|
||||
// Now it can read the environment variable
|
||||
|
||||
Hello Wade Wilson from Python
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
As environment variables can be set outside of the code, but can be read by the code, and don't have to be stored (committed to `git`) with the rest of the files, it's common to use them for configurations or settings.
|
||||
|
||||
You can also create an environment variable only for a specific program invocation, that is only available to that program, and only for its duration.
|
||||
|
||||
To do that, create it right before the program itself, on the same line:
|
||||
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
// Create an env var MY_NAME in line for this program call
|
||||
$ MY_NAME="Wade Wilson" python main.py
|
||||
|
||||
// Now it can read the environment variable
|
||||
|
||||
Hello Wade Wilson from Python
|
||||
|
||||
// The env var no longer exists afterwards
|
||||
$ python main.py
|
||||
|
||||
Hello World from Python
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
!!! tip
|
||||
You can read more about it at <a href="https://12factor.net/config" class="external-link" target="_blank">The Twelve-Factor App: Config</a>.
|
||||
|
||||
### Types and validation
|
||||
|
||||
These environment variables can only handle text strings, as they are external to Python and have to be compatible with other programs and the rest of the system (and even with different operating systems, as Linux, Windows, macOS).
|
||||
|
||||
That means that any value read in Python from an environment variable will be a `str`, and any conversion to a different type or validation has to be done in code.
|
||||
|
||||
## Pydantic `Settings`
|
||||
|
||||
Fortunately, Pydantic provides a great utility to handle these settings coming from environment variables with <a href="https://pydantic-docs.helpmanual.io/usage/settings/" class="external-link" target="_blank">Pydantic: Settings management</a>.
|
||||
|
||||
### Create the `Settings` object
|
||||
|
||||
Import `BaseSettings` from Pydantic and create a sub-class, very much like with a Pydantic model.
|
||||
|
||||
The same way as with Pydantic models, you declare class attributes with type annotations, and possibly default values.
|
||||
|
||||
You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.
|
||||
|
||||
```Python hl_lines="2 5 6 7 8 11"
|
||||
{!../../../docs_src/settings/tutorial001.py!}
|
||||
```
|
||||
|
||||
!!! tip
|
||||
If you want something quick to copy and paste, don't use this example, use the last one below.
|
||||
|
||||
Then, when you create an instance of that `Settings` class (in this case, in the `settings` object), Pydantic will read the environment variables in a case-insensitive way, so, an upper-case variable `APP_NAME` will still be read for the attribute `app_name`.
|
||||
|
||||
Next it will convert and validate the data. So, when you use that `settings` object, you will have data of the types you declared (e.g. `items_per_user` will be an `int`).
|
||||
|
||||
### Use the `settings`
|
||||
|
||||
Then you can use the new `settings` object in your application:
|
||||
|
||||
```Python hl_lines="18 19 20"
|
||||
{!../../../docs_src/settings/tutorial001.py!}
|
||||
```
|
||||
|
||||
### Run the server
|
||||
|
||||
Next, you would run the server passing the configurations as environment variables, for example you could set an `ADMIN_EMAIL` and `APP_NAME` with:
|
||||
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
$ ADMIN_EMAIL="deadpool@example.com" APP_NAME="ChimichangApp" uvicorn main:app
|
||||
|
||||
<span style="color: green;">INFO</span>: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
!!! tip
|
||||
To set multiple env vars for a single command just separate them with a space, and put them all before the command.
|
||||
|
||||
And then the `admin_email` setting would be set to `"deadpool@example.com"`.
|
||||
|
||||
The `app_name` would be `"ChimichangApp"`.
|
||||
|
||||
And the `items_per_user` would keep its default value of `50`.
|
||||
|
||||
## Settings in another module
|
||||
|
||||
You could put those settings in another module file as you saw in [Bigger Applications - Multiple Files](../tutorial/bigger-applications.md){.internal-link target=_blank}.
|
||||
|
||||
For example, you could have a file `config.py` with:
|
||||
|
||||
```Python
|
||||
{!../../../docs_src/settings/app01/config.py!}
|
||||
```
|
||||
|
||||
And then use it in a file `main.py`:
|
||||
|
||||
```Python hl_lines="3 11 12 13"
|
||||
{!../../../docs_src/settings/app01/main.py!}
|
||||
```
|
||||
|
||||
!!! tip
|
||||
You would also need a file `__init__.py` as you saw on [Bigger Applications - Multiple Files](../tutorial/bigger-applications.md){.internal-link target=_blank}.
|
||||
|
||||
## Settings in a dependency
|
||||
|
||||
In some occasions it might be useful to provide the settings from a dependency, instead of having a global object with `settings` that is used everywhere.
|
||||
|
||||
This could be especially useful during testing, as it's very easy to override a dependency with your own custom settings.
|
||||
|
||||
### The config file
|
||||
|
||||
Coming from the previous example, your `config.py` file could look like:
|
||||
|
||||
```Python hl_lines="10"
|
||||
{!../../../docs_src/settings/app02/config.py!}
|
||||
```
|
||||
|
||||
Notice that now we don't create a default instance `settings = Settings()`.
|
||||
|
||||
### The main app file
|
||||
|
||||
Now we create a dependency that returns a new `config.Settings()`.
|
||||
|
||||
```Python hl_lines="5 11 12"
|
||||
{!../../../docs_src/settings/app02/main.py!}
|
||||
```
|
||||
|
||||
!!! tip
|
||||
We'll discuss the `@lru_cache()` in a bit.
|
||||
|
||||
For now you can assume `get_settings()` is a normal function.
|
||||
|
||||
And then we can require it from the *path operation function* as a dependency and use it anywhere we need it.
|
||||
|
||||
```Python hl_lines="16 18 19 20"
|
||||
{!../../../docs_src/settings/app02/main.py!}
|
||||
```
|
||||
|
||||
### Settings and testing
|
||||
|
||||
Then it would be very easy to provide a different settings object during testing by creating a dependency override for `get_settings`:
|
||||
|
||||
```Python hl_lines="8 9 12 21"
|
||||
{!../../../docs_src/settings/app02/test_main.py!}
|
||||
```
|
||||
|
||||
In the dependency override we set a new value for the `admin_email` when creating the new `Settings` object, and then we return that new object.
|
||||
|
||||
Then we can test that it is used.
|
||||
|
||||
## Reading a `.env` file
|
||||
|
||||
If you have many settings that possibly change a lot, maybe in different environments, it might be useful to put them on a file and then read them from it as if they were environment variables.
|
||||
|
||||
This practice is common enough that it has a name, these environment variables are commonly placed in a file `.env`, and the file is called a "dotenv".
|
||||
|
||||
!!! tip
|
||||
A file starting with a dot (`.`) is a hidden file in Unix-like systems, like Linux and macOS.
|
||||
|
||||
But a dotenv file doesn't really have to have that exact filename.
|
||||
|
||||
Pydantic has support for reading from these types of files using an external library. You can read more at <a href="https://pydantic-docs.helpmanual.io/usage/settings/#dotenv-env-support" class="external-link" target="_blank">Pydantic Settings: Dotenv (.env) support</a>.
|
||||
|
||||
!!! tip
|
||||
For this to work, you need to `pip install python-dotenv`.
|
||||
|
||||
### The `.env` file
|
||||
|
||||
You could have a `.env` file with:
|
||||
|
||||
```bash
|
||||
ADMIN_EMAIL="deadpool@example.com"
|
||||
APP_NAME="ChimichangApp"
|
||||
```
|
||||
|
||||
### Read settings from `.env`
|
||||
|
||||
And then update your `config.py` with:
|
||||
|
||||
```Python hl_lines="9 10"
|
||||
{!../../../docs_src/settings/app03/config.py!}
|
||||
```
|
||||
|
||||
Here we create a class `Config` inside of your Pydantic `Settings` class, and set the `env_file` to the filename with the dotenv file we want to use.
|
||||
|
||||
!!! tip
|
||||
The `Config` class is used just for Pydantic configuration. You can read more at <a href="https://pydantic-docs.helpmanual.io/usage/model_config/" class="external-link" target="_blank">Pydantic Model Config</a>
|
||||
|
||||
### Creating the `Settings` only once with `lru_cache`
|
||||
|
||||
Reading a file from disk is normally a costly (slow) operation, so you probably want to do it only once and then re-use the same settings object, instead of reading it for each request.
|
||||
|
||||
But every time we do:
|
||||
|
||||
```Python
|
||||
config.Settings()
|
||||
```
|
||||
|
||||
a new `Settings` object would be created, and at creation it would read the `.env` file again.
|
||||
|
||||
If the dependency function was just like:
|
||||
|
||||
```Python
|
||||
def get_settings():
|
||||
return config.Settings()
|
||||
```
|
||||
|
||||
we would create that object for each request, and we would be reading the `.env` file for each request. ⚠️
|
||||
|
||||
But as we are using the `@lru_cache()` decorator on top, the `Settings` object will be created only once, the first time it's called. ✔️
|
||||
|
||||
```Python hl_lines="1 10"
|
||||
{!../../../docs_src/settings/app03/main.py!}
|
||||
```
|
||||
|
||||
Then for any subsequent calls of `get_settings()` in the dependencies for the next requests, instead of executing the internal code of `get_settings()` and creating a new `Settings` object, it will return the same object that was returned on the first call, again and again.
|
||||
|
||||
#### `lru_cache` Technical Details
|
||||
|
||||
`@lru_cache()` modifies the function it decorates to return the same value that was returned the first time, instead of computing it again, executing the code of the function every time.
|
||||
|
||||
So, the function below it will be executed once for each combination of arguments. And then the values returned by each of those combinations of arguments will be used again and again whenever the function is called with exactly the same combination of arguments.
|
||||
|
||||
For example, if you have a function:
|
||||
|
||||
```Python
|
||||
@lru_cache()
|
||||
def say_hi(name: str, salutation: str = "Ms."):
|
||||
return f"Hello {salutation} {name}"
|
||||
```
|
||||
|
||||
your program could execute like this:
|
||||
|
||||
```mermaid
|
||||
sequenceDiagram
|
||||
|
||||
participant code as Code
|
||||
participant function as say_hi()
|
||||
participant execute as Execute function
|
||||
|
||||
rect rgba(0, 255, 0, .1)
|
||||
code ->> function: say_hi(name="Camila")
|
||||
function ->> execute: execute function code
|
||||
execute ->> code: return the result
|
||||
end
|
||||
|
||||
rect rgba(0, 255, 255, .1)
|
||||
code ->> function: say_hi(name="Camila")
|
||||
function ->> code: return stored result
|
||||
end
|
||||
|
||||
rect rgba(0, 255, 0, .1)
|
||||
code ->> function: say_hi(name="Rick")
|
||||
function ->> execute: execute function code
|
||||
execute ->> code: return the result
|
||||
end
|
||||
|
||||
rect rgba(0, 255, 0, .1)
|
||||
code ->> function: say_hi(name="Rick", salutation="Mr.")
|
||||
function ->> execute: execute function code
|
||||
execute ->> code: return the result
|
||||
end
|
||||
|
||||
rect rgba(0, 255, 255, .1)
|
||||
code ->> function: say_hi(name="Rick")
|
||||
function ->> code: return stored result
|
||||
end
|
||||
|
||||
rect rgba(0, 255, 255, .1)
|
||||
code ->> function: say_hi(name="Camila")
|
||||
function ->> code: return stored result
|
||||
end
|
||||
```
|
||||
|
||||
In the case of our dependency `get_settings()`, the function doesn't even take any arguments, so it always returns the same value.
|
||||
|
||||
That way, it behaves almost as if it was just a global variable. But as it uses a dependency function, then we can override it easily for testing.
|
||||
|
||||
`@lru_cache()` is part of `functools` which is part of Python's standard library, you can read more about it in the <a href="https://docs.python.org/3/library/functools.html#functools.lru_cache" class="external-link" target="_blank">Python docs for `@lru_cache()`</a>.
|
||||
|
||||
## Recap
|
||||
|
||||
You can use Pydantic Settings to handle the settings or configurations for your application, with all the power of Pydantic models.
|
||||
|
||||
* By using a dependency you can simplify testing.
|
||||
* You can use `.env` files with it.
|
||||
* Using `@lru_cache()` lets you avoid reading the dotenv file again and again for each request, while allowing you to override it during testing.
|
||||
@@ -1,100 +0,0 @@
|
||||
# Sub Applications - Behind a Proxy, Mounts
|
||||
|
||||
There are at least two situations where you could need to create your **FastAPI** application using some specific paths.
|
||||
|
||||
But then you need to set them up to be served with a path prefix.
|
||||
|
||||
It could happen if you have a:
|
||||
|
||||
* **Proxy** server.
|
||||
* You are "**mounting**" a FastAPI application inside another FastAPI application (or inside another ASGI application, like Starlette).
|
||||
|
||||
## Proxy
|
||||
|
||||
Having a proxy in this case means that you could declare a path at `/app`, but then, you could need to add a layer on top (the Proxy) that would put your **FastAPI** application under a path like `/api/v1`.
|
||||
|
||||
In this case, the original path `/app` will actually be served at `/api/v1/app`.
|
||||
|
||||
Even though your application "thinks" it is serving at `/app`.
|
||||
|
||||
And the Proxy could be re-writing the path "on the fly" to keep your application convinced that it is serving at `/app`.
|
||||
|
||||
Up to here, everything would work as normally.
|
||||
|
||||
But then, when you open the integrated docs, they would expect to get the OpenAPI schema at `/openapi.json`, instead of `/api/v1/openapi.json`.
|
||||
|
||||
So, the frontend (that runs in the browser) would try to reach `/openapi.json` and wouldn't be able to get the OpenAPI schema.
|
||||
|
||||
So, it's needed that the frontend looks for the OpenAPI schema at `/api/v1/openapi.json`.
|
||||
|
||||
And it's also needed that the returned JSON OpenAPI schema has the defined path at `/api/v1/app` (behind the proxy) instead of `/app`.
|
||||
|
||||
---
|
||||
|
||||
For these cases, you can declare an `openapi_prefix` parameter in your `FastAPI` application.
|
||||
|
||||
See the section below, about "mounting", for an example.
|
||||
|
||||
## Mounting a **FastAPI** application
|
||||
|
||||
"Mounting" means adding a complete "independent" application in a specific path, that then takes care of handling all the sub-paths.
|
||||
|
||||
You could want to do this if you have several "independent" applications that you want to separate, having their own independent OpenAPI schema and user interfaces.
|
||||
|
||||
### Top-level application
|
||||
|
||||
First, create the main, top-level, **FastAPI** application, and its *path operations*:
|
||||
|
||||
```Python hl_lines="3 6 7 8"
|
||||
{!../../../docs_src/sub_applications/tutorial001.py!}
|
||||
```
|
||||
|
||||
### Sub-application
|
||||
|
||||
Then, create your sub-application, and its *path operations*.
|
||||
|
||||
This sub-application is just another standard FastAPI application, but this is the one that will be "mounted".
|
||||
|
||||
When creating the sub-application, use the parameter `openapi_prefix`. In this case, with a prefix of `/subapi`:
|
||||
|
||||
```Python hl_lines="11 14 15 16"
|
||||
{!../../../docs_src/sub_applications/tutorial001.py!}
|
||||
```
|
||||
|
||||
### Mount the sub-application
|
||||
|
||||
In your top-level application, `app`, mount the sub-application, `subapi`.
|
||||
|
||||
Here you need to make sure you use the same path that you used for the `openapi_prefix`, in this case, `/subapi`:
|
||||
|
||||
```Python hl_lines="11 19"
|
||||
{!../../../docs_src/sub_applications/tutorial001.py!}
|
||||
```
|
||||
|
||||
## Check the automatic API docs
|
||||
|
||||
Now, run `uvicorn`, if your file is at `main.py`, it would be:
|
||||
|
||||
<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>
|
||||
|
||||
And open the docs at <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.
|
||||
|
||||
You will see the automatic API docs for the main app, including only its own paths:
|
||||
|
||||
<img src="/img/tutorial/sub-applications/image01.png">
|
||||
|
||||
And then, open the docs for the sub-application, at <a href="http://127.0.0.1:8000/subapi/docs" class="external-link" target="_blank">http://127.0.0.1:8000/subapi/docs</a>.
|
||||
|
||||
You will see the automatic API docs for the sub-application, including only its own sub-paths, with their correct prefix:
|
||||
|
||||
<img src="/img/tutorial/sub-applications/image02.png">
|
||||
|
||||
If you try interacting with any of the two user interfaces, they will work, because the browser will be able to talk to the correct path (or sub-path).
|
||||
73
docs/en/docs/advanced/sub-applications.md
Normal file
@@ -0,0 +1,73 @@
|
||||
# Sub Applications - Mounts
|
||||
|
||||
If you need to have two independent FastAPI applications, with their own independent OpenAPI and their own docs UIs, you can have a main app and "mount" one (or more) sub-application(s).
|
||||
|
||||
## Mounting a **FastAPI** application
|
||||
|
||||
"Mounting" means adding a completely "independent" application in a specific path, that then takes care of handling everything under that path, with the _path operations_ declared in that sub-application.
|
||||
|
||||
### Top-level application
|
||||
|
||||
First, create the main, top-level, **FastAPI** application, and its *path operations*:
|
||||
|
||||
```Python hl_lines="3 6 7 8"
|
||||
{!../../../docs_src/sub_applications/tutorial001.py!}
|
||||
```
|
||||
|
||||
### Sub-application
|
||||
|
||||
Then, create your sub-application, and its *path operations*.
|
||||
|
||||
This sub-application is just another standard FastAPI application, but this is the one that will be "mounted":
|
||||
|
||||
```Python hl_lines="11 14 15 16"
|
||||
{!../../../docs_src/sub_applications/tutorial001.py!}
|
||||
```
|
||||
|
||||
### Mount the sub-application
|
||||
|
||||
In your top-level application, `app`, mount the sub-application, `subapi`.
|
||||
|
||||
In this case, it will be mounted at the path `/subapi`:
|
||||
|
||||
```Python hl_lines="11 19"
|
||||
{!../../../docs_src/sub_applications/tutorial001.py!}
|
||||
```
|
||||
|
||||
### Check the automatic API docs
|
||||
|
||||
Now, run `uvicorn` with the main app, if your file is `main.py`, it would be:
|
||||
|
||||
<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>
|
||||
|
||||
And open the docs at <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.
|
||||
|
||||
You will see the automatic API docs for the main app, including only its own _path operations_:
|
||||
|
||||
<img src="/img/tutorial/sub-applications/image01.png">
|
||||
|
||||
And then, open the docs for the sub-application, at <a href="http://127.0.0.1:8000/subapi/docs" class="external-link" target="_blank">http://127.0.0.1:8000/subapi/docs</a>.
|
||||
|
||||
You will see the automatic API docs for the sub-application, including only its own _path operations_, all under the correct sub-path prefix `/subapi`:
|
||||
|
||||
<img src="/img/tutorial/sub-applications/image02.png">
|
||||
|
||||
If you try interacting with any of the two user interfaces, they will work correctly, because the browser will be able to talk to each specific app or sub-app.
|
||||
|
||||
### Technical Details: `root_path`
|
||||
|
||||
When you mount a sub-application as described above, FastAPI will take care of communicating the mount path for the sub-application using a mechanism from the ASGI specification called a `root_path`.
|
||||
|
||||
That way, the sub-application will know to use that path prefix for the docs UI.
|
||||
|
||||
And the sub-application could also have its own mounted sub-applications and everything would work correctly, because FastAPI handles all these `root_path`s automatically.
|
||||
|
||||
You will learn more about the `root_path` and how to use it explicitly in the section about [Behind a Proxy](./behind-a-proxy.md){.internal-link target=_blank}.
|
||||
@@ -39,13 +39,16 @@ $ pip install aiofiles
|
||||
* Declare a `Request` parameter in the *path operation* that will return a template.
|
||||
* Use the `templates` you created to render and return a `TemplateResponse`, passing the `request` as one of the key-value pairs in the Jinja2 "context".
|
||||
|
||||
```Python hl_lines="3 10 14 15"
|
||||
```Python hl_lines="4 11 15 16"
|
||||
{!../../../docs_src/templates/tutorial001.py!}
|
||||
```
|
||||
|
||||
!!! note
|
||||
Notice that you have to pass the `request` as part of the key-value pairs in the context for Jinja2. So, you also have to declare it in your *path operation*.
|
||||
|
||||
!!! tip
|
||||
By declaring `response_class=HTMLResponse` the docs UI will be able to know that the response will be HTML.
|
||||
|
||||
!!! note "Technical Details"
|
||||
You could also use `from starlette.templating import Jinja2Templates`.
|
||||
|
||||
|
||||
95
docs/en/docs/advanced/testing-database.md
Normal file
@@ -0,0 +1,95 @@
|
||||
# Testing a Database
|
||||
|
||||
You can use the same dependency overrides from [Testing Dependencies with Overrides](testing-dependencies.md){.internal-link target=_blank} to alter a database for testing.
|
||||
|
||||
You could want to set up a different database for testing, rollback the data after the tests, pre-fill it with some testing data, etc.
|
||||
|
||||
The main idea is exactly the same you saw in that previous chapter.
|
||||
|
||||
## Add tests for the SQL app
|
||||
|
||||
Let's update the example from [SQL (Relational) Databases](../tutorial/sql-databases.md){.internal-link target=_blank} to use a testing database.
|
||||
|
||||
All the app code is the same, you can go back to that chapter check how it was.
|
||||
|
||||
The only changes here are in the new testing file.
|
||||
|
||||
Your normal dependency `get_db()` would return a database session.
|
||||
|
||||
In the test, you could use a dependency override to return your *custom* database session instead of the one that would be used normally.
|
||||
|
||||
In this example we'll create a temporary database only for the tests.
|
||||
|
||||
## File structure
|
||||
|
||||
We create a new file at `sql_app/tests/test_sql_app.py`.
|
||||
|
||||
So the new file structure looks like:
|
||||
|
||||
``` hl_lines="9 10 11"
|
||||
.
|
||||
└── sql_app
|
||||
├── __init__.py
|
||||
├── crud.py
|
||||
├── database.py
|
||||
├── main.py
|
||||
├── models.py
|
||||
├── schemas.py
|
||||
└── tests
|
||||
├── __init__.py
|
||||
└── test_sql_app.py
|
||||
```
|
||||
|
||||
## Create the new database session
|
||||
|
||||
First, we create a new database session with the new database.
|
||||
|
||||
For the tests we'll use a file `test.db` instead of `sql_app.db`.
|
||||
|
||||
But the rest of the session code is more or less the same, we just copy it.
|
||||
|
||||
```Python hl_lines="8 9 10 11 12 13"
|
||||
{!../../../docs_src/sql_databases/sql_app/tests/test_sql_app.py!}
|
||||
```
|
||||
|
||||
!!! tip
|
||||
You could reduce duplication in that code by putting it in a function and using it from both `database.py` and `tests/test_sql_app.py`.
|
||||
|
||||
For simplicity and to focus on the specific testing code, we are just copying it.
|
||||
|
||||
## Create the database
|
||||
|
||||
Because now we are going to use a new database in a new file, we need to make sure we create the database with:
|
||||
|
||||
```Python
|
||||
Base.metadata.create_all(bind=engine)
|
||||
```
|
||||
|
||||
That is normally called in `main.py`, but the line in `main.py` uses the database file `sql_app.db`, and we need to make sure we create `test.db` for the tests.
|
||||
|
||||
So we add that line here, with the new file.
|
||||
|
||||
```Python hl_lines="16"
|
||||
{!../../../docs_src/sql_databases/sql_app/tests/test_sql_app.py!}
|
||||
```
|
||||
|
||||
## Dependency override
|
||||
|
||||
Now we create the dependency override and add it to the overrides for our app.
|
||||
|
||||
```Python hl_lines="19 20 21 22 23 24 27"
|
||||
{!../../../docs_src/sql_databases/sql_app/tests/test_sql_app.py!}
|
||||
```
|
||||
|
||||
!!! tip
|
||||
The code for `override_get_db()` is almost exactly the same as for `get_db()`, but in `override_get_db()` we use the `TestingSessionLocal` for the testing database instead.
|
||||
|
||||
## Test the app
|
||||
|
||||
Then we can just test the app as normally.
|
||||
|
||||
```Python hl_lines="32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47"
|
||||
{!../../../docs_src/sql_databases/sql_app/tests/test_sql_app.py!}
|
||||
```
|
||||
|
||||
And all the modifications we made in the database during the tests will be in the `test.db` database instead of the main `sql_app.db`.
|
||||
@@ -20,18 +20,6 @@ You probably want to test the external provider once, but not necessarily call i
|
||||
|
||||
In this case, you can override the dependency that calls that provider, and use a custom dependency that returns a mock user, only for your tests.
|
||||
|
||||
### Use case: testing database
|
||||
|
||||
Other example could be that you are using a specific database only for testing.
|
||||
|
||||
Your normal dependency would return a database session.
|
||||
|
||||
But then, after each test, you could want to rollback all the operations or remove data.
|
||||
|
||||
Or you could want to alter the data before the tests run, etc.
|
||||
|
||||
In this case, you could use a dependency override to return your *custom* database session instead of the one that would be used normally.
|
||||
|
||||
### Use the `app.dependency_overrides` attribute
|
||||
|
||||
For these cases, your **FastAPI** application has an attribute `app.dependency_overrides`, it is a simple `dict`.
|
||||
@@ -40,7 +28,7 @@ To override a dependency for testing, you put as a key the original dependency (
|
||||
|
||||
And then **FastAPI** will call that override instead of the original dependency.
|
||||
|
||||
```Python hl_lines="24 25 28"
|
||||
```Python hl_lines="26 27 30"
|
||||
{!../../../docs_src/dependency_testing/tutorial001.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -7,3 +7,6 @@ For this, you use the `TestClient` in a `with` statement, connecting to the WebS
|
||||
```Python hl_lines="27 28 29 30 31"
|
||||
{!../../../docs_src/app_testing/tutorial002.py!}
|
||||
```
|
||||
|
||||
!!! note
|
||||
For more details, check Starlette's documentation for <a href="https://www.starlette.io/testclient/#testing-websocket-sessions" class="external-link" target="_blank">testing WebSockets</a>.
|
||||
|
||||
@@ -51,38 +51,7 @@ In your WebSocket route you can `await` for messages and send messages.
|
||||
|
||||
You can receive and send binary, text, and JSON data.
|
||||
|
||||
## Using `Depends` and others
|
||||
|
||||
In WebSocket endpoints you can import from `fastapi` and use:
|
||||
|
||||
* `Depends`
|
||||
* `Security`
|
||||
* `Cookie`
|
||||
* `Header`
|
||||
* `Path`
|
||||
* `Query`
|
||||
|
||||
They work the same way as for other FastAPI endpoints/*path operations*:
|
||||
|
||||
```Python hl_lines="53 54 55 56 57 58 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76"
|
||||
{!../../../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.
|
||||
|
||||
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.
|
||||
|
||||
## More info
|
||||
|
||||
To learn more about the options, check Starlette's documentation for:
|
||||
|
||||
* <a href="https://www.starlette.io/websockets/" class="external-link" target="_blank">The `WebSocket` class</a>.
|
||||
* <a href="https://www.starlette.io/endpoints/#websocketendpoint" class="external-link" target="_blank">Class-based WebSocket handling</a>.
|
||||
|
||||
## Test it
|
||||
## Try it
|
||||
|
||||
If your file is named `main.py`, run your application with:
|
||||
|
||||
@@ -115,3 +84,89 @@ You can send (and receive) many messages:
|
||||
<img src="/img/tutorial/websockets/image04.png">
|
||||
|
||||
And all of them will use the same WebSocket connection.
|
||||
|
||||
## Using `Depends` and others
|
||||
|
||||
In WebSocket endpoints you can import from `fastapi` and use:
|
||||
|
||||
* `Depends`
|
||||
* `Security`
|
||||
* `Cookie`
|
||||
* `Header`
|
||||
* `Path`
|
||||
* `Query`
|
||||
|
||||
They work the same way as for other FastAPI endpoints/*path operations*:
|
||||
|
||||
```Python hl_lines="58 59 60 61 62 63 64 65 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83"
|
||||
{!../../../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.
|
||||
|
||||
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:
|
||||
|
||||
<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>
|
||||
|
||||
Open your browser at <a href="http://127.0.0.1:8000" class="external-link" target="_blank">http://127.0.0.1:8000</a>.
|
||||
|
||||
There you can set:
|
||||
|
||||
* The "Item ID", used in the path.
|
||||
* The "Token" used as a query parameter.
|
||||
|
||||
!!! tip
|
||||
Notice that the query `token` will be handled by a dependency.
|
||||
|
||||
With that you can connect the WebSocket and then send and receive messages:
|
||||
|
||||
<img src="/img/tutorial/websockets/image05.png">
|
||||
|
||||
## Handling disconnections and multiple clients
|
||||
|
||||
When a WebSocket connection is closed, the `await websocket.receive_text()` will raise a `WebSocketDisconnect` exception, which you can then catch and handle like in this example.
|
||||
|
||||
```Python hl_lines="81-83"
|
||||
{!../../../docs_src/websockets/tutorial003.py!}
|
||||
```
|
||||
|
||||
To try it out:
|
||||
|
||||
* Open the app with several browser tabs.
|
||||
* Write messages from them.
|
||||
* Then close one of the tabs.
|
||||
|
||||
That will raise the `WebSocketDisconnect` exception, and all the other clients will receive a message like:
|
||||
|
||||
```
|
||||
Client #1596980209979 left the chat
|
||||
```
|
||||
|
||||
!!! tip
|
||||
The app above is a minimal and simple example to demonstrate how to handle and broadcast messages to several WebSocket connections.
|
||||
|
||||
But have in mind that, as everything is handled in memory, in a single list, it will only work while the process is running, and will only work with a single process.
|
||||
|
||||
If you need something easy to integrate with FastAPI but that is more robust, supported by Redis, PostgreSQL or others, check <a href="https://github.com/encode/broadcaster" class="external-link" target="_blank">encode/broadcaster</a>.
|
||||
|
||||
## More info
|
||||
|
||||
To learn more about the options, check Starlette's documentation for:
|
||||
|
||||
* <a href="https://www.starlette.io/websockets/" class="external-link" target="_blank">The `WebSocket` class</a>.
|
||||
* <a href="https://www.starlette.io/endpoints/#websocketendpoint" class="external-link" target="_blank">Class-based WebSocket handling</a>.
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
# Including WSGI - Flask, Django, others
|
||||
|
||||
You can mount WSGI applications as you saw with [Sub Applications - Behind a Proxy, Mounts](./sub-applications-proxy.md){.internal-link target=_blank}.
|
||||
You can mount WSGI applications as you saw with [Sub Applications - Mounts](./sub-applications.md){.internal-link target=_blank}, [Behind a Proxy](./behind-a-proxy.md){.internal-link target=_blank}.
|
||||
|
||||
For that, you can use the `WSGIMiddleware` and use it to wrap your WSGI application, for example, Flask, Django, etc.
|
||||
|
||||
|
||||
@@ -55,7 +55,7 @@ But by following the steps above, it will be able to do some performance optimiz
|
||||
|
||||
Modern versions of Python have support for **"asynchronous code"** using something called **"coroutines"**, with **`async` and `await`** syntax.
|
||||
|
||||
Let's see that phrase by parts in the sections below, below:
|
||||
Let's see that phrase by parts in the sections below:
|
||||
|
||||
* **Asynchronous Code**
|
||||
* **`async` and `await`**
|
||||
@@ -63,13 +63,13 @@ Let's see that phrase by parts in the sections below, below:
|
||||
|
||||
## Asynchronous Code
|
||||
|
||||
Asynchronous code just means that the language has a way to tell the computer / program that at some point in the code, he will have to wait for *something else* to finish somewhere else. Let's say that *something else* is called "slow-file".
|
||||
Asynchronous code just means that the language 💬 has a way to tell the computer / program 🤖 that at some point in the code, it 🤖 will have to wait for *something else* to finish somewhere else. Let's say that *something else* is called "slow-file" 📝.
|
||||
|
||||
So, during that time, the computer can go and do some other work, while "slow-file" finishes.
|
||||
So, during that time, the computer can go and do some other work, while "slow-file" 📝 finishes.
|
||||
|
||||
Then the computer / program will come back every time it has a chance because it's waiting again, or whenever he finished all the work he had at that point. And it will see if any of the tasks he was waiting for has already finished doing whatever it had to do.
|
||||
Then the computer / program 🤖 will come back every time it has a chance because it's waiting again, or whenever it 🤖 finished all the work it had at that point. And it 🤖 will see if any of the tasks it was waiting for have already finished, doing whatever it had to do.
|
||||
|
||||
And then it takes the first task to finish (let's say, our "slow-file") and continues whatever it had to do with it.
|
||||
Next, it 🤖 takes the first task to finish (let's say, our "slow-file" 📝) and continues whatever it had to do with it.
|
||||
|
||||
That "wait for something else" normally refers to <abbr title="Input and Output">I/O</abbr> operations that are relatively "slow" (compared to the speed of the processor and the RAM memory), like waiting for:
|
||||
|
||||
@@ -82,7 +82,7 @@ That "wait for something else" normally refers to <abbr title="Input and Output"
|
||||
* a database query to return the results
|
||||
* etc.
|
||||
|
||||
As the execution time is consumed mostly by waiting for <abbr title="Input and Output">I/O</abbr> operations, so they call them "I/O bound".
|
||||
As the execution time is consumed mostly by waiting for <abbr title="Input and Output">I/O</abbr> operations, they call them "I/O bound" operations.
|
||||
|
||||
It's called "asynchronous" because the computer / program doesn't have to be "synchronized" with the slow task, waiting for the exact moment that the task finishes, while doing nothing, to be able to take the task result and continue the work.
|
||||
|
||||
@@ -94,7 +94,7 @@ For "synchronous" (contrary to "asynchronous") they commonly also use the term "
|
||||
|
||||
This idea of **asynchronous** code described above is also sometimes called **"concurrency"**. It is different from **"parallelism"**.
|
||||
|
||||
**Concurrency** and **parallelism** both relate to "different things happening more or less at the same time".
|
||||
**Concurrency** and **parallelism** both relate to "different things happening more or less at the same time".
|
||||
|
||||
But the details between *concurrency* and *parallelism* are quite different.
|
||||
|
||||
@@ -102,107 +102,109 @@ To see the difference, imagine the following story about burgers:
|
||||
|
||||
### Concurrent Burgers
|
||||
|
||||
You go with your crush to get fast food, you stand in line while the cashier takes the orders from the people in front of you.
|
||||
You go with your crush 😍 to get fast food 🍔, you stand in line while the cashier 💁 takes the orders from the people in front of you.
|
||||
|
||||
Then it's your turn, you place your order of 2 very fancy burgers for your crush and you.
|
||||
Then it's your turn, you place your order of 2 very fancy burgers 🍔 for your crush 😍 and you.
|
||||
|
||||
You pay.
|
||||
You pay 💸.
|
||||
|
||||
The cashier says something to the guy in the kitchen so he knows he has to prepare your burgers (even though he is currently preparing the ones for the previous clients).
|
||||
The cashier 💁 says something to the guy in the kitchen 👨🍳 so he knows he has to prepare your burgers 🍔 (even though he is currently preparing the ones for the previous clients).
|
||||
|
||||
The cashier gives you the number of your turn.
|
||||
The cashier 💁 gives you the number of your turn.
|
||||
|
||||
While you are waiting, you go with your crush and pick a table, you sit and talk with your crush for a long time (as your burgers are very fancy and take some time to prepare).
|
||||
While you are waiting, you go with your crush 😍 and pick a table, you sit and talk with your crush 😍 for a long time (as your burgers are very fancy and take some time to prepare ✨🍔✨).
|
||||
|
||||
As you are seating on the table with your crush, while you wait for the burgers, you can spend that time admiring how awesome, cute and smart your crush is.
|
||||
As you are sitting on the table with your crush 😍, while you wait for the burgers 🍔, you can spend that time admiring how awesome, cute and smart your crush is ✨😍✨.
|
||||
|
||||
While waiting and talking to your crush, from time to time, you check the number displayed on the counter to see if it's your turn already.
|
||||
While waiting and talking to your crush 😍, from time to time, you check the number displayed on the counter to see if it's your turn already.
|
||||
|
||||
Then at some point, it finally is your turn. You go to the counter, get your burgers and come back to the table.
|
||||
Then at some point, it finally is your turn. You go to the counter, get your burgers 🍔 and come back to the table.
|
||||
|
||||
You and your crush eat the burgers and have a nice time.
|
||||
You and your crush 😍 eat the burgers 🍔 and have a nice time ✨.
|
||||
|
||||
---
|
||||
|
||||
Imagine you are the computer / program in that story.
|
||||
Imagine you are the computer / program 🤖 in that story.
|
||||
|
||||
While you are at the line, you are just idle, waiting for your turn, not doing anything very "productive". But the line is fast because the cashier is only taking the orders, so that's fine.
|
||||
While you are at the line, you are just idle 😴, waiting for your turn, not doing anything very "productive". But the line is fast because the cashier 💁 is only taking the orders (not preparing them), so that's fine.
|
||||
|
||||
Then, when it's your turn, you do actual "productive" work, you process the menu, decide what you want, get your crush's choice, pay, check that you give the correct bill or card, check that you are charged correctly, check that the order has the correct items, etc.
|
||||
Then, when it's your turn, you do actual "productive" work 🤓, you process the menu, decide what you want, get your crush's 😍 choice, pay 💸, check that you give the correct bill or card, check that you are charged correctly, check that the order has the correct items, etc.
|
||||
|
||||
But then, even though you still don't have your burgers, your work with the cashier is "on pause", because you have to wait for your burgers to be ready.
|
||||
But then, even though you still don't have your burgers 🍔, your work with the cashier 💁 is "on pause" ⏸, because you have to wait 🕙 for your burgers to be ready.
|
||||
|
||||
But as you go away from the counter and seat on the table with a number for your turn, you can switch your attention to your crush, and "work" on that. Then you are again doing something very "productive", as is flirting with your crush.
|
||||
But as you go away from the counter and sit on the table with a number for your turn, you can switch 🔀 your attention to your crush 😍, and "work" ⏯ 🤓 on that. Then you are again doing something very "productive" 🤓, as is flirting with your crush 😍.
|
||||
|
||||
Then the cashier says "I'm finished with doing the burgers" by putting your number on the counter display, but you don't jump like crazy immediately when the displayed number changes to your turn number. You know no one will steal your burgers because you have the number of your turn, and they have theirs.
|
||||
Then the cashier 💁 says "I'm finished with doing the burgers" 🍔 by putting your number on the counter's display, but you don't jump like crazy immediately when the displayed number changes to your turn number. You know no one will steal your burgers 🍔 because you have the number of your turn, and they have theirs.
|
||||
|
||||
So you wait for your crush to finish the story (finish the current work / task being processed), smile gently and say that you are going for the burgers.
|
||||
So you wait for your crush 😍 to finish the story (finish the current work ⏯ / task being processed 🤓), smile gently and say that you are going for the burgers ⏸.
|
||||
|
||||
Then you go to the counter, to the initial task that is now finished, pick the burgers, say thanks and take them to the table. That finishes that step / task of interaction with the counter. That in turn, creates a new task, of "eating burgers", but the previous one of "getting burgers" is finished.
|
||||
Then you go to the counter 🔀, to the initial task that is now finished ⏯, pick the burgers 🍔, say thanks and take them to the table. That finishes that step / task of interaction with the counter ⏹. That in turn, creates a new task, of "eating burgers" 🔀 ⏯, but the previous one of "getting burgers" is finished ⏹.
|
||||
|
||||
### Parallel Burgers
|
||||
|
||||
You go with your crush to get parallel fast food.
|
||||
Now let's imagine these aren't "Concurrent Burgers", but "Parallel Burgers".
|
||||
|
||||
You stand in line while several (let's say 8) cashiers take the orders from the people in front of you.
|
||||
You go with your crush 😍 to get parallel fast food 🍔.
|
||||
|
||||
Everyone before you is waiting for their burgers to be ready before leaving the counter because each of the 8 cashiers goes himself and prepares the burger right away before getting the next order.
|
||||
You stand in line while several (let's say 8) cashiers that at the same time are cooks 👨🍳👨🍳👨🍳👨🍳👨🍳👨🍳👨🍳👨🍳 take the orders from the people in front of you.
|
||||
|
||||
Then it's finally your turn, you place your order of 2 very fancy burgers for your crush and you.
|
||||
Everyone before you is waiting 🕙 for their burgers 🍔 to be ready before leaving the counter because each of the 8 cashiers goes himself and prepares the burger right away before getting the next order.
|
||||
|
||||
You pay.
|
||||
Then it's finally your turn, you place your order of 2 very fancy burgers 🍔 for your crush 😍 and you.
|
||||
|
||||
The cashier goes to the kitchen.
|
||||
You pay 💸.
|
||||
|
||||
You wait, standing in front of the counter, so that no one else takes your burgers before you, as there are no numbers for turns.
|
||||
The cashier goes to the kitchen 👨🍳.
|
||||
|
||||
As you and your crush are busy not letting anyone get in front of you and take your burgers whenever they arrive, you cannot pay attention to your crush.
|
||||
You wait, standing in front of the counter 🕙, so that no one else takes your burgers 🍔 before you do, as there are no numbers for turns.
|
||||
|
||||
This is "synchronous" work, you are "synchronized" with the cashier/cook. You have to wait and be there at the exact moment that the cashier/cook finishes the burgers and gives them to you, or otherwise, someone else might take them.
|
||||
As you and your crush 😍 are busy not letting anyone get in front of you and take your burgers whenever they arrive 🕙, you cannot pay attention to your crush 😞.
|
||||
|
||||
Then your cashier/cook finally comes back with your burgers, after a long time waiting there in front of the counter.
|
||||
This is "synchronous" work, you are "synchronized" with the cashier/cook 👨🍳. You have to wait 🕙 and be there at the exact moment that the cashier/cook 👨🍳 finishes the burgers 🍔 and gives them to you, or otherwise, someone else might take them.
|
||||
|
||||
You take your burgers and go to the table with your crush.
|
||||
Then your cashier/cook 👨🍳 finally comes back with your burgers 🍔, after a long time waiting 🕙 there in front of the counter.
|
||||
|
||||
You just eat them, and you are done.
|
||||
You take your burgers 🍔 and go to the table with your crush 😍.
|
||||
|
||||
There was not much talk or flirting as most of the time was spent waiting in front of the counter.
|
||||
You just eat them, and you are done 🍔 ⏹.
|
||||
|
||||
There was not much talk or flirting as most of the time was spent waiting 🕙 in front of the counter 😞.
|
||||
|
||||
---
|
||||
|
||||
In this scenario of the parallel burgers, you are a computer / program with two processors (you and your crush), both waiting and dedicating their attention to be "waiting on the counter" for a long time.
|
||||
In this scenario of the parallel burgers, you are a computer / program 🤖 with two processors (you and your crush 😍), both waiting 🕙 and dedicating their attention ⏯ to be "waiting on the counter" 🕙 for a long time.
|
||||
|
||||
The fast food store has 8 processors (cashiers/cooks). While the concurrent burgers store might have had only 2 (one cashier and one cook).
|
||||
The fast food store has 8 processors (cashiers/cooks) 👨🍳👨🍳👨🍳👨🍳👨🍳👨🍳👨🍳👨🍳. While the concurrent burgers store might have had only 2 (one cashier and one cook) 💁 👨🍳.
|
||||
|
||||
But still, the final experience is not the best.
|
||||
But still, the final experience is not the best 😞.
|
||||
|
||||
---
|
||||
|
||||
This would be the parallel equivalent story for burgers.
|
||||
This would be the parallel equivalent story for burgers 🍔.
|
||||
|
||||
For a more "real life" example of this, imagine a bank.
|
||||
|
||||
Up to recently, most of the banks had multiple cashiers and a big line.
|
||||
Up to recently, most of the banks had multiple cashiers 👨💼👨💼👨💼👨💼 and a big line 🕙🕙🕙🕙🕙🕙🕙🕙.
|
||||
|
||||
All of the cashiers doing all the work with one client after the other.
|
||||
All of the cashiers doing all the work with one client after the other 👨💼⏯.
|
||||
|
||||
And you have to wait in the line for a long time or you lose your turn.
|
||||
And you have to wait 🕙 in the line for a long time or you lose your turn.
|
||||
|
||||
You probably wouldn't want to take your crush with you to do errands at the bank.
|
||||
You probably wouldn't want to take your crush 😍 with you to do errands at the bank 🏦.
|
||||
|
||||
### Burger Conclusion
|
||||
|
||||
In this scenario of "fast food burgers with your crush", as there is a lot of waiting, it makes a lot more sense to have a concurrent system.
|
||||
In this scenario of "fast food burgers with your crush", as there is a lot of waiting 🕙, it makes a lot more sense to have a concurrent system ⏸🔀⏯.
|
||||
|
||||
This is the case for most of the web applications.
|
||||
|
||||
Many, many users, but your server is waiting for their not-so-good connection to send their requests.
|
||||
Many, many users, but your server is waiting 🕙 for their not-so-good connection to send their requests.
|
||||
|
||||
And then waiting again for the responses to come back.
|
||||
And then waiting 🕙 again for the responses to come back.
|
||||
|
||||
This "waiting" is measured in microseconds, but still, summing it all, it's a lot of waiting in the end.
|
||||
This "waiting" 🕙 is measured in microseconds, but still, summing it all, it's a lot of waiting in the end.
|
||||
|
||||
That's why it makes a lot of sense to use asynchronous code for web APIs.
|
||||
That's why it makes a lot of sense to use asynchronous ⏸🔀⏯ code for web APIs.
|
||||
|
||||
Most of the existing popular Python frameworks (including Flask and Django) were created before the new asynchronous features in Python existed. So, the ways they can be deployed support parallel execution and an older form of asynchronous execution that is not as powerful as the new capabilities.
|
||||
|
||||
@@ -210,7 +212,7 @@ Even though the main specification for asynchronous web Python (ASGI) was develo
|
||||
|
||||
That kind of asynchronicity is what made NodeJS popular (even though NodeJS is not parallel) and that's the strength of Go as a programing language.
|
||||
|
||||
And that's the same level of performance</a> you get with **FastAPI**.
|
||||
And that's the same level of performance you get with **FastAPI**.
|
||||
|
||||
And as you can have parallelism and asynchronicity at the same time, you get higher performance than most of the tested NodeJS frameworks and on par with Go, which is a compiled language closer to C <a href="https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=query&l=zijmkf-1" class="external-link" target="_blank">(all thanks to Starlette)</a>.
|
||||
|
||||
@@ -228,15 +230,15 @@ So, to balance that out, imagine the following short story:
|
||||
|
||||
---
|
||||
|
||||
There's no waiting anywhere, just a lot of work to be done, on multiple places of the house.
|
||||
There's no waiting 🕙 anywhere, just a lot of work to be done, on multiple places of the house.
|
||||
|
||||
You could have turns as in the burgers example, first the living room, then the kitchen, but as you are not waiting for anything, just cleaning and cleaning, the turns wouldn't affect anything.
|
||||
You could have turns as in the burgers example, first the living room, then the kitchen, but as you are not waiting 🕙 for anything, just cleaning and cleaning, the turns wouldn't affect anything.
|
||||
|
||||
It would take the same amount of time to finish with or without turns (concurrency) and you would have done the same amount of work.
|
||||
|
||||
But in this case, if you could bring the 8 ex-cashier/cooks/now-cleaners, and each one of them (plus you) could take a zone of the house to clean it, you could do all the work in **parallel**, with the extra help, and finish much sooner.
|
||||
But in this case, if you could bring the 8 ex-cashier/cooks/now-cleaners 👨🍳👨🍳👨🍳👨🍳👨🍳👨🍳👨🍳👨🍳, and each one of them (plus you) could take a zone of the house to clean it, you could do all the work in **parallel**, with the extra help, and finish much sooner.
|
||||
|
||||
In this scenario, each one of the cleaners (including you) would be a processor, doing their part of the job.
|
||||
In this scenario, each one of the cleaners (including you) would be a processor, doing their part of the job.
|
||||
|
||||
And as most of the execution time is taken by actual work (instead of waiting), and the work in a computer is done by a <abbr title="Central Processing Unit">CPU</abbr>, they call these problems "CPU bound".
|
||||
|
||||
@@ -246,8 +248,8 @@ Common examples of CPU bound operations are things that require complex math pro
|
||||
|
||||
For example:
|
||||
|
||||
* **Audio** or **image processing**
|
||||
* **Computer vision**: an image is composed of millions of pixels, each pixel has 3 values / colors, processing that normally requires computing something on those pixels, all at the same time)
|
||||
* **Audio** or **image processing**.
|
||||
* **Computer vision**: an image is composed of millions of pixels, each pixel has 3 values / colors, processing that normally requires computing something on those pixels, all at the same time.
|
||||
* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.
|
||||
* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.
|
||||
|
||||
@@ -263,7 +265,7 @@ To see how to achieve this parallelism in production see the section about [Depl
|
||||
|
||||
## `async` and `await`
|
||||
|
||||
Modern versions of python have a very intuitive way to define asynchronous code. This makes it look just like normal "sequential" code and do the "awaiting" for you at the right moments.
|
||||
Modern versions of Python have a very intuitive way to define asynchronous code. This makes it look just like normal "sequential" code and do the "awaiting" for you at the right moments.
|
||||
|
||||
When there is an operation that will require waiting before giving the results and has support for these new Python features, you can code it like:
|
||||
|
||||
@@ -271,7 +273,7 @@ When there is an operation that will require waiting before giving the results a
|
||||
burgers = await get_burgers(2)
|
||||
```
|
||||
|
||||
The key here is the `await`. It tells Python that it has to wait for `get_burgers(2)` to finish doing its thing before storing the results in `burgers`. With that, Python will know that it can go and do something else in the meanwhile (like receiving another request).
|
||||
The key here is the `await`. It tells Python that it has to wait ⏸ for `get_burgers(2)` to finish doing its thing 🕙 before storing the results in `burgers`. With that, Python will know that it can go and do something else 🔀 ⏯ in the meanwhile (like receiving another request).
|
||||
|
||||
For `await` to work, it has to be inside a function that supports this asynchronicity. To do that, you just declare it with `async def`:
|
||||
|
||||
@@ -290,7 +292,7 @@ def get_sequential_burgers(number: int):
|
||||
return burgers
|
||||
```
|
||||
|
||||
With `async def`, Python knows that, inside that function, it has to be aware of `await` expressions, and that it can "pause" the execution of that function and go do something else before coming back.
|
||||
With `async def`, Python knows that, inside that function, it has to be aware of `await` expressions, and that it can "pause" ⏸ the execution of that function and go do something else 🔀 before coming back.
|
||||
|
||||
When you want to call an `async def` function, you have to "await" it. So, this won't work:
|
||||
|
||||
@@ -334,11 +336,11 @@ But before that, handling asynchronous code was quite more complex and difficult
|
||||
|
||||
In previous versions of Python, you could have used threads or <a href="http://www.gevent.org/" class="external-link" target="_blank">Gevent</a>. But the code is way more complex to understand, debug, and think about.
|
||||
|
||||
In previous versions of NodeJS / Browser JavaScript, you would have used "callbacks". Which lead to <a href="http://callbackhell.com/" class="external-link" target="_blank">callback hell</a>.
|
||||
In previous versions of NodeJS / Browser JavaScript, you would have used "callbacks". Which leads to <a href="http://callbackhell.com/" class="external-link" target="_blank">callback hell</a>.
|
||||
|
||||
## Coroutines
|
||||
|
||||
**Coroutine** is just the very fancy term for the thing returned by an `async def` function. Python knows that it is something like a function that it can start and that it will end at some point, but that it might be paused internally too, whenever there is an `await` inside of it.
|
||||
**Coroutine** is just the very fancy term for the thing returned by an `async def` function. Python knows that it is something like a function that it can start and that it will end at some point, but that it might be paused ⏸ internally too, whenever there is an `await` inside of it.
|
||||
|
||||
But all this functionality of using asynchronous code with `async` and `await` is many times summarized as using "coroutines". It is comparable to the main key feature of Go, the "Goroutines".
|
||||
|
||||
@@ -348,7 +350,7 @@ Let's see the same phrase from above:
|
||||
|
||||
> Modern versions of Python have support for **"asynchronous code"** using something called **"coroutines"**, with **`async` and `await`** syntax.
|
||||
|
||||
That should make more sense now.
|
||||
That should make more sense now. ✨
|
||||
|
||||
All that is what powers FastAPI (through Starlette) and what makes it have such an impressive performance.
|
||||
|
||||
@@ -356,16 +358,16 @@ All that is what powers FastAPI (through Starlette) and what makes it have such
|
||||
|
||||
!!! warning
|
||||
You can probably skip this.
|
||||
|
||||
|
||||
These are very technical details of how **FastAPI** works underneath.
|
||||
|
||||
|
||||
If you have quite some technical knowledge (co-routines, threads, blocking, etc) and are curious about how FastAPI handles `async def` vs normal `def`, go ahead.
|
||||
|
||||
### Path operation functions
|
||||
|
||||
When you declare a *path operation function* with normal `def` instead of `async def`, it is run in an external threadpool that is then awaited, instead of being called directly (as it would block the server).
|
||||
|
||||
If you are coming from another async framework that does not work in the way described above and you are used to define trivial compute-only *path operation functions* with plain `def` for a tiny performance gain (about 100 nanoseconds), please note that in **FastAPI** the effect would be quite opposite. In these cases, it's better to use `async def` unless your *path operation functions* use code that performs blocking <abbr title="Input/Output: disk reading or writing, network communications.">IO</abbr>.
|
||||
If you are coming from another async framework that does not work in the way described above and you are used to define trivial compute-only *path operation functions* with plain `def` for a tiny performance gain (about 100 nanoseconds), please note that in **FastAPI** the effect would be quite opposite. In these cases, it's better to use `async def` unless your *path operation functions* use code that performs blocking <abbr title="Input/Output: disk reading or writing, network communications.">I/O</abbr>.
|
||||
|
||||
Still, in both situations, chances are that **FastAPI** will [still be faster](/#performance){.internal-link target=_blank} than (or at least comparable to) your previous framework.
|
||||
|
||||
@@ -375,7 +377,7 @@ The same applies for dependencies. If a dependency is a standard `def` function
|
||||
|
||||
### Sub-dependencies
|
||||
|
||||
You can have multiple dependencies and sub-dependencies requiring each other (as parameters of the function definitions), some of them might be created with `async def` and some with normal `def`. It would still work, and the ones created with normal `def` would be called on an external thread instead of being "awaited".
|
||||
You can have multiple dependencies and sub-dependencies requiring each other (as parameters of the function definitions), some of them might be created with `async def` and some with normal `def`. It would still work, and the ones created with normal `def` would be called on an external thread (from the threadpool) instead of being "awaited".
|
||||
|
||||
### Other utility functions
|
||||
|
||||
@@ -383,7 +385,7 @@ Any other utility function that you call directly can be created with normal `de
|
||||
|
||||
This is in contrast to the functions that FastAPI calls for you: *path operation functions* and dependencies.
|
||||
|
||||
If your utility function is a normal function with `def`, it will be called directly (as you write it in your code), not in a threadpool, if the function is created with `async def` then you should await for that function when you call it in your code.
|
||||
If your utility function is a normal function with `def`, it will be called directly (as you write it in your code), not in a threadpool, if the function is created with `async def` then you should `await` for that function when you call it in your code.
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -24,59 +24,67 @@ That will create a directory `./env/` with the Python binaries and then you will
|
||||
|
||||
Activate the new environment with:
|
||||
|
||||
<div class="termy">
|
||||
=== "Linux, macOS"
|
||||
|
||||
```console
|
||||
$ source ./env/bin/activate
|
||||
```
|
||||
<div class="termy">
|
||||
|
||||
</div>
|
||||
```console
|
||||
$ source ./env/bin/activate
|
||||
```
|
||||
|
||||
Or in Windows' PowerShell:
|
||||
</div>
|
||||
|
||||
<div class="termy">
|
||||
=== "Windows PowerShell"
|
||||
|
||||
```console
|
||||
$ .\env\Scripts\Activate.ps1
|
||||
```
|
||||
<div class="termy">
|
||||
|
||||
</div>
|
||||
```console
|
||||
$ .\env\Scripts\Activate.ps1
|
||||
```
|
||||
|
||||
Or if you use Bash for Windows (e.g. <a href="https://gitforwindows.org/" class="external-link" target="_blank">Git Bash</a>):
|
||||
</div>
|
||||
|
||||
<div class="termy">
|
||||
=== "Windows Bash"
|
||||
|
||||
```console
|
||||
$ source ./env/Scripts/activate
|
||||
```
|
||||
Or if you use Bash for Windows (e.g. <a href="https://gitforwindows.org/" class="external-link" target="_blank">Git Bash</a>):
|
||||
|
||||
</div>
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
$ source ./env/Scripts/activate
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
To check it worked, use:
|
||||
|
||||
<div class="termy">
|
||||
=== "Linux, macOS, Windows Bash"
|
||||
|
||||
```console
|
||||
$ which pip
|
||||
<div class="termy">
|
||||
|
||||
some/directory/fastapi/env/bin/pip
|
||||
```
|
||||
```console
|
||||
$ which pip
|
||||
|
||||
</div>
|
||||
some/directory/fastapi/env/bin/pip
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
=== "Windows PowerShell"
|
||||
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
$ Get-Command pip
|
||||
|
||||
some/directory/fastapi/env/bin/pip
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
If it shows the `pip` binary at `env/bin/pip` then it worked. 🎉
|
||||
|
||||
Or in Windows PowerShell:
|
||||
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
$ Get-Command pip
|
||||
|
||||
some/directory/fastapi/env/bin/pip
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
!!! tip
|
||||
Every time you install a new package with `pip` under that environment, activate the environment again.
|
||||
@@ -103,27 +111,31 @@ Now re-activate the environment to make sure you are using the `flit` you just i
|
||||
|
||||
And now use `flit` to install the development dependencies:
|
||||
|
||||
<div class="termy">
|
||||
=== "Linux, macOS"
|
||||
|
||||
```console
|
||||
$ flit install --deps develop --symlink
|
||||
<div class="termy">
|
||||
|
||||
---> 100%
|
||||
```
|
||||
```console
|
||||
$ flit install --deps develop --symlink
|
||||
|
||||
</div>
|
||||
---> 100%
|
||||
```
|
||||
|
||||
If you are on Windows, use `--pth-file` instead of `--symlink`:
|
||||
</div>
|
||||
|
||||
<div class="termy">
|
||||
=== "Windows"
|
||||
|
||||
```console
|
||||
$ flit install --deps develop --pth-file
|
||||
If you are on Windows, use `--pth-file` instead of `--symlink`:
|
||||
|
||||
---> 100%
|
||||
```
|
||||
<div class="termy">
|
||||
|
||||
</div>
|
||||
```console
|
||||
$ flit install --deps develop --pth-file
|
||||
|
||||
---> 100%
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
It will install all the dependencies and your local FastAPI in your local environment.
|
||||
|
||||
@@ -257,7 +269,16 @@ Here are the steps to help with translations.
|
||||
|
||||
#### Tips and guidelines
|
||||
|
||||
* Add a single Pull Request per page translated. That will make it much easier for others to review it.
|
||||
* Check the currently <a href="https://github.com/tiangolo/fastapi/pulls" class="external-link" target="_blank">existing pull requests</a> for your language and add reviews requesting changes or approving them.
|
||||
|
||||
!!! tip
|
||||
You can <a href="https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/commenting-on-a-pull-request" class="external-link" target="_blank">add comments with change suggestions</a> to existing pull requests.
|
||||
|
||||
Check the docs about <a href="https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/about-pull-request-reviews" class="external-link" target="_blank">adding a pull request review</a> to approve it or request changes.
|
||||
|
||||
* Check in the <a href="https://github.com/tiangolo/fastapi/issues" class="external-link" target="_blank">issues</a> to see if there's one coordinating translations for your language.
|
||||
|
||||
* Add a single pull request per page translated. That will make it much easier for others to review it.
|
||||
|
||||
For the languages I don't speak, I'll wait for several others to review the translation before merging.
|
||||
|
||||
@@ -385,6 +406,11 @@ Updating en
|
||||
|
||||
Now you can check in your code editor the newly created directory `docs/ht/`.
|
||||
|
||||
!!! tip
|
||||
Create a first pull request with just this, to set up the configuration for the new language, before adding translations.
|
||||
|
||||
That way others can help with other pages while you work on the first one. 🚀
|
||||
|
||||
Start by translating the main page, `docs/ht/index.md`.
|
||||
|
||||
Then you can continue with the previous instructions, for an "Existing Language".
|
||||
@@ -473,13 +499,3 @@ $ bash scripts/test-cov-html.sh
|
||||
</div>
|
||||
|
||||
This command generates a directory `./htmlcov/`, if you open the file `./htmlcov/index.html` in your browser, you can explore interactively the regions of code that are covered by the tests, and notice if there is any region missing.
|
||||
|
||||
### Tests in your editor
|
||||
|
||||
If you want to use the integrated tests in your editor add `./docs_src` to your `PYTHONPATH` variable.
|
||||
|
||||
For example, in VS Code you can create a file `.env` with:
|
||||
|
||||
```env
|
||||
PYTHONPATH=./docs_src
|
||||
```
|
||||
|
||||
@@ -11,3 +11,8 @@ a.internal-link::after {
|
||||
*/
|
||||
content: "\00A0↪";
|
||||
}
|
||||
|
||||
/* Give space to lower icons so Gitter chat doesn't get on top of them */
|
||||
.md-footer-meta {
|
||||
padding-bottom: 2em;
|
||||
}
|
||||
|
||||
@@ -161,6 +161,8 @@ CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
|
||||
* Create a `main.py` file with:
|
||||
|
||||
```Python
|
||||
from typing import Optional
|
||||
|
||||
from fastapi import FastAPI
|
||||
|
||||
app = FastAPI()
|
||||
@@ -172,7 +174,7 @@ def read_root():
|
||||
|
||||
|
||||
@app.get("/items/{item_id}")
|
||||
def read_item(item_id: int, q: str = None):
|
||||
def read_item(item_id: int, q: Optional[str] = None):
|
||||
return {"item_id": item_id, "q": q}
|
||||
```
|
||||
|
||||
@@ -329,55 +331,61 @@ You can deploy **FastAPI** directly without Docker too.
|
||||
|
||||
You just need to install an ASGI compatible server like:
|
||||
|
||||
* <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>, a lightning-fast ASGI server, built on uvloop and httptools.
|
||||
=== "Uvicorn"
|
||||
|
||||
<div class="termy">
|
||||
* <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>, a lightning-fast ASGI server, built on uvloop and httptools.
|
||||
|
||||
```console
|
||||
$ pip install uvicorn
|
||||
<div class="termy">
|
||||
|
||||
---> 100%
|
||||
```
|
||||
```console
|
||||
$ pip install uvicorn
|
||||
|
||||
</div>
|
||||
---> 100%
|
||||
```
|
||||
|
||||
* <a href="https://gitlab.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>, an ASGI server also compatible with HTTP/2.
|
||||
</div>
|
||||
|
||||
<div class="termy">
|
||||
=== "Hypercorn"
|
||||
|
||||
```console
|
||||
$ pip install hypercorn
|
||||
* <a href="https://gitlab.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>, an ASGI server also compatible with HTTP/2.
|
||||
|
||||
---> 100%
|
||||
```
|
||||
<div class="termy">
|
||||
|
||||
</div>
|
||||
```console
|
||||
$ pip install hypercorn
|
||||
|
||||
...or any other ASGI server.
|
||||
---> 100%
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
...or any other ASGI server.
|
||||
|
||||
And run your application the same way you have done in the tutorials, but without the `--reload` option, e.g.:
|
||||
|
||||
<div class="termy">
|
||||
=== "Uvicorn"
|
||||
|
||||
```console
|
||||
$ uvicorn main:app --host 0.0.0.0 --port 80
|
||||
<div class="termy">
|
||||
|
||||
<span style="color: green;">INFO</span>: Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)
|
||||
```
|
||||
```console
|
||||
$ uvicorn main:app --host 0.0.0.0 --port 80
|
||||
|
||||
</div>
|
||||
<span style="color: green;">INFO</span>: Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)
|
||||
```
|
||||
|
||||
or with Hypercorn:
|
||||
</div>
|
||||
|
||||
<div class="termy">
|
||||
=== "Hypercorn"
|
||||
|
||||
```console
|
||||
$ hypercorn main:app --bind 0.0.0.0:80
|
||||
<div class="termy">
|
||||
|
||||
Running on 0.0.0.0:8080 over http (CTRL + C to quit)
|
||||
```
|
||||
```console
|
||||
$ hypercorn main:app --bind 0.0.0.0:80
|
||||
|
||||
</div>
|
||||
Running on 0.0.0.0:8080 over http (CTRL + C to quit)
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
You might want to set up some tooling to make sure it is restarted automatically if it stops.
|
||||
|
||||
|
||||
@@ -7,113 +7,72 @@ There are many posts, articles, tools, and projects, related to **FastAPI**.
|
||||
Here's an incomplete list of some of them.
|
||||
|
||||
!!! tip
|
||||
If you have an article, project, tool, or anything related to **FastAPI** that is not yet listed here, create a <a href="https://github.com/tiangolo/fastapi/edit/master/docs/external-links.md" class="external-link" target="_blank">Pull Request adding it</a>.
|
||||
If you have an article, project, tool, or anything related to **FastAPI** that is not yet listed here, create a <a href="https://github.com/tiangolo/fastapi/edit/master/docs/en/data/external_links.yml" class="external-link" target="_blank">Pull Request adding it</a>.
|
||||
|
||||
## Articles
|
||||
|
||||
### English
|
||||
|
||||
* <a href="https://medium.com/@williamhayes/fastapi-starlette-debug-vs-prod-5f7561db3a59" class="external-link" target="_blank">FastAPI/Starlette debug vs prod</a> by <a href="https://medium.com/@williamhayes" class="external-link" target="_blank">William Hayes</a>.
|
||||
{% if external_links %}
|
||||
{% for article in external_links.articles.english %}
|
||||
|
||||
* <a href="https://medium.com/data-rebels/fastapi-google-as-an-external-authentication-provider-3a527672cf33" class="external-link" target="_blank">FastAPI — Google as an external authentication provider</a> by <a href="https://medium.com/@nils_29588" class="external-link" target="_blank">Nils de Bruin</a>.
|
||||
|
||||
* <a href="https://medium.com/data-rebels/fastapi-how-to-add-basic-and-cookie-authentication-a45c85ef47d3" class="external-link" target="_blank">FastAPI — How to add basic and cookie authentication</a> by <a href="https://medium.com/@nils_29588" class="external-link" target="_blank">Nils de Bruin</a>.
|
||||
|
||||
* <a href="https://dev.to/errietta/introduction-to-the-fastapi-python-framework-2n10" class="external-link" target="_blank">Introduction to the fastapi python framework</a> by <a href="https://dev.to/errietta" class="external-link" target="_blank">Errieta Kostala</a>.
|
||||
|
||||
* <a href="http://nickc1.github.io/api,/scikit-learn/2019/01/10/scikit-fastapi.html" class="external-link" target="_blank">FastAPI and Scikit-Learn: Easily Deploy Models</a> by <a href="http://nickc1.github.io/" class="external-link" target="_blank">Nick Cortale</a>.
|
||||
|
||||
* <a href="https://medium.com/data-rebels/fastapi-authentication-revisited-enabling-api-key-authentication-122dc5975680" class="external-link" target="_blank">FastAPI authentication revisited: Enabling API key authentication</a> by <a href="https://medium.com/@nils_29588" class="external-link" target="_blank">Nils de Bruin</a>.
|
||||
|
||||
* <a href="https://blog.bartab.fr/fastapi-logging-on-the-fly/" class="external-link" target="_blank">FastAPI, a simple use case on logging</a> by <a href="https://blog.bartab.fr/" class="external-link" target="_blank">@euri10</a>.
|
||||
|
||||
* <a href="https://medium.com/@nico.axtmann95/deploying-a-scikit-learn-model-with-onnx-und-fastapi-1af398268915" class="external-link" target="_blank">Deploying a scikit-learn model with ONNX and FastAPI</a> by <a href="https://www.linkedin.com/in/nico-axtmann" class="external-link" target="_blank">Nico Axtmann</a>.
|
||||
|
||||
* <a href="https://geekflare.com/python-asynchronous-web-frameworks/" class="external-link" target="_blank">Top 5 Asynchronous Web Frameworks for Python</a> by <a href="https://geekflare.com/author/ankush/" class="external-link" target="_blank">Ankush Thakur</a> on <a href="https://geekflare.com" class="external-link" target="_blank">GeekFlare</a>.
|
||||
|
||||
* <a href="https://medium.com/@gntrm/jwt-authentication-with-fastapi-and-aws-cognito-1333f7f2729e" class="external-link" target="_blank">JWT Authentication with FastAPI and AWS Cognito</a> by <a href="https://twitter.com/gntrm" class="external-link" target="_blank">Johannes Gontrum</a>.
|
||||
|
||||
* <a href="https://towardsdatascience.com/how-to-deploy-a-machine-learning-model-dc51200fe8cf" class="external-link" target="_blank">How to Deploy a Machine Learning Model</a> by <a href="https://www.linkedin.com/in/mgrootendorst/" class="external-link" target="_blank">Maarten Grootendorst</a> on <a href="https://towardsdatascience.com/" class="external-link" target="_blank">Towards Data Science</a>.
|
||||
|
||||
* [Uber: Ludwig v0.2 Adds New Features and Other Improvements to its Deep Learning Toolbox [including a FastAPI server]](https://eng.uber.com/ludwig-v0-2/){.external-link target=_blank} on <a href="https://eng.uber.com" class="external-link" target="_blank">Uber Engineering</a>.
|
||||
|
||||
* <a href="https://gitlab.com/euri10/fastapi_cheatsheet" class="external-link" target="_blank">A FastAPI and Swagger UI visual cheatsheet</a> by <a href="https://gitlab.com/euri10" class="external-link" target="_blank">@euri10</a>
|
||||
|
||||
* <a href="https://medium.com/@mike.p.moritz/using-docker-compose-to-deploy-a-lightweight-python-rest-api-with-a-job-queue-37e6072a209b" class="external-link" target="_blank">Using Docker Compose to deploy a lightweight Python REST API with a job queue</a> by <a href="https://medium.com/@mike.p.moritz" class="external-link" target="_blank">Mike Moritz</a>.
|
||||
|
||||
* <a href="https://robwagner.dev/tortoise-fastapi-setup/" class="external-link" target="_blank">Setting up Tortoise ORM with FastAPI</a> by <a href="https://robwagner.dev/" class="external-link" target="_blank">Rob Wagner</a>.
|
||||
|
||||
* <a href="https://dev.to/dbanty/why-i-m-leaving-flask-3ki6" class="external-link" target="_blank">Why I'm Leaving Flask</a> by <a href="https://dev.to/dbanty" class="external-link" target="_blank">Dylan Anthony</a>.
|
||||
|
||||
* <a href="https://medium.com/python-data/how-to-deploy-tensorflow-2-0-models-as-an-api-service-with-fastapi-docker-128b177e81f3" class="external-link" target="_blank">How To Deploy Tensorflow 2.0 Models As An API Service With FastAPI & Docker</a> by <a href="https://medium.com/@bbrenyah" class="external-link" target="_blank">Bernard Brenyah</a>.
|
||||
|
||||
* <a href="https://testdriven.io/blog/fastapi-crud/" class="external-link" target="_blank">TestDriven.io: Developing and Testing an Asynchronous API with FastAPI and Pytest</a> by <a href="https://testdriven.io/authors/herman/" class="external-link" target="_blank">Michael Herman</a>.
|
||||
|
||||
* <a href="https://towardsdatascience.com/deploying-iris-classifications-with-fastapi-and-docker-7c9b83fdec3a" class="external-link" target="_blank">Towards Data Science: Deploying Iris Classifications with FastAPI and Docker</a> by <a href="https://towardsdatascience.com/@mandygu" class="external-link" target="_blank">Mandy Gu</a>.
|
||||
|
||||
* <a href="https://medium.com/analytics-vidhya/deploy-machine-learning-models-with-keras-fastapi-redis-and-docker-4940df614ece" class="external-link" target="_blank">Deploy Machine Learning Models with Keras, FastAPI, Redis and Docker</a> by <a href="https://medium.com/@shane.soh" class="external-link" target="_blank">Shane Soh</a>.
|
||||
|
||||
* <a href="https://medium.com/@arthur393/another-boilerplate-to-fastapi-azure-pipeline-ci-pytest-3c8d9a4be0bb" class="external-link" target="_blank">Another Boilerplate to FastAPI: Azure Pipeline CI + Pytest</a> by <a href="https://twitter.com/arthurheinrique" class="external-link" target="_blank">Arthur Henrique</a>.
|
||||
|
||||
* <a href="https://iwpnd.pw/articles/2020-01/deploy-fastapi-to-aws-lambda" class="external-link" target="_blank">How to continuously deploy a FastAPI to AWS Lambda with AWS SAM</a> by <a href="https://iwpnd.pw" class="external-link" target="_blank">Benjamin Ramser</a>.
|
||||
|
||||
* <a href="https://www.tutlinks.com/create-and-deploy-fastapi-app-to-heroku/" class="external-link" target="_blank">Create and Deploy FastAPI app to Heroku without using Docker</a> by <a href="https://www.linkedin.com/in/navule/" class="external-link" target="_blank">Navule Pavan Kumar Rao</a>.
|
||||
|
||||
* <a href="https://iwpnd.pw/articles/2020-03/apache-kafka-fastapi-geostream" class="external-link" target="_blank">Apache Kafka producer and consumer with FastAPI and aiokafka</a> by <a href="https://iwpnd.pw" class="external-link" target="_blank">Benjamin Ramser</a>.
|
||||
* <a href="{{ article.link }}" class="external-link" target="_blank">{{ article.title }}</a> by <a href="{{ article.author_link }}" class="external-link" target="_blank">{{ article.author }}</a>.
|
||||
{% endfor %}
|
||||
{% endif %}
|
||||
|
||||
### Japanese
|
||||
|
||||
* <a href="https://qiita.com/mtitg/items/47770e9a562dd150631d" class="external-link" target="_blank">FastAPI|DB接続してCRUDするPython製APIサーバーを構築</a> by <a href="https://qiita.com/mtitg" class="external-link" target="_blank">@mtitg</a>.
|
||||
{% if external_links %}
|
||||
{% for article in external_links.articles.japanese %}
|
||||
|
||||
* <a href="https://qiita.com/ryoryomaru/items/59958ed385b3571d50de" class="external-link" target="_blank">python製の最新APIフレームワーク FastAPI を触ってみた</a> by <a href="https://qiita.com/ryoryomaru" class="external-link" target="_blank">@ryoryomaru</a>.
|
||||
|
||||
* <a href="https://qiita.com/angel_katayoku/items/0e1f5dbbe62efc612a78" class="external-link" target="_blank">FastAPIでCORSを回避</a> by <a href="https://qiita.com/angel_katayoku" class="external-link" target="_blank">@angel_katayoku</a>.
|
||||
|
||||
* <a href="https://qiita.com/angel_katayoku/items/4fbc1a4e2b33fa2237d2" class="external-link" target="_blank">FastAPIをMySQLと接続してDockerで管理してみる</a> by <a href="https://qiita.com/angel_katayoku" class="external-link" target="_blank">@angel_katayoku</a>.
|
||||
|
||||
* <a href="https://qiita.com/angel_katayoku/items/8a458a8952f50b73f420" class="external-link" target="_blank">FastAPIでPOSTされたJSONのレスポンスbodyを受け取る</a> by <a href="https://qiita.com/angel_katayoku" class="external-link" target="_blank">@angel_katayoku</a>.
|
||||
|
||||
* <a href="https://qiita.com/hikarut/items/b178af2e2440c67c6ac4" class="external-link" target="_blank">フロントエンド開発者向けのDockerによるPython開発環境構築</a> by <a href="https://qiita.com/hikarut" class="external-link" target="_blank">Hikaru Takahashi</a>.
|
||||
|
||||
* <a href="https://rightcode.co.jp/blog/information-technology/fastapi-tutorial-todo-apps-environment" class="external-link" target="_blank">【第1回】FastAPIチュートリアル: ToDoアプリを作ってみよう【環境構築編】</a> by <a href="https://rightcode.co.jp/author/jun" class="external-link" target="_blank">ライトコードメディア編集部</a>
|
||||
|
||||
* <a href="https://rightcode.co.jp/blog/information-technology/fastapi-tutorial-todo-apps-model-building" class="external-link" target="_blank">【第2回】FastAPIチュートリアル: ToDoアプリを作ってみよう【モデル構築編】</a> by <a href="https://rightcode.co.jp/author/jun" class="external-link" target="_blank">ライトコードメディア編集部</a>
|
||||
|
||||
* <a href="https://rightcode.co.jp/blog/information-technology/fastapi-tutorial-todo-apps-authentication-user-registration" class="external-link" target="_blank">【第3回】FastAPIチュートリアル: toDoアプリを作ってみよう【認証・ユーザ登録編】</a> by <a href="https://rightcode.co.jp/author/jun" class="external-link" target="_blank">ライトコードメディア編集部</a>
|
||||
|
||||
* <a href="https://rightcode.co.jp/blog/information-technology/fastapi-tutorial-todo-apps-admin-page-improvement" class="external-link" target="_blank">【第4回】FastAPIチュートリアル: toDoアプリを作ってみよう【管理者ページ改良編】</a> by <a href="https://rightcode.co.jp/author/jun" class="external-link" target="_blank">ライトコードメディア編集部</a>
|
||||
|
||||
* <a href="https://qiita.com/bee2/items/0ad260ab9835a2087dae" class="external-link" target="_blank">PythonのWeb frameworkのパフォーマンス比較 (Django, Flask, responder, FastAPI, japronto)</a> by <a href="https://qiita.com/bee2" class="external-link" target="_blank">@bee2</a>.
|
||||
|
||||
* <a href="https://qiita.com/bee2/items/75d9c0d7ba20e7a4a0e9" class="external-link" target="_blank">[FastAPI] Python製のASGI Web フレームワーク FastAPIに入門する</a> by <a href="https://qiita.com/bee2" class="external-link" target="_blank">@bee2</a>.
|
||||
|
||||
### Chinese
|
||||
|
||||
* <a href="https://cloud.tencent.com/developer/article/1431448" class="external-link" target="_blank">使用FastAPI框架快速构建高性能的api服务</a> by <a href="https://cloud.tencent.com/developer/user/5471722" class="external-link" target="_blank">逍遥散人</a>.
|
||||
|
||||
* <a href="https://wxq0309.github.io/" class="external-link" target="_blank">FastAPI框架中文文档</a> by <a href="https://wxq0309.github.io/" class="external-link" target="_blank">何大仙</a>.
|
||||
* <a href="{{ article.link }}" class="external-link" target="_blank">{{ article.title }}</a> by <a href="{{ article.author_link }}" class="external-link" target="_blank">{{ article.author }}</a>.
|
||||
{% endfor %}
|
||||
{% endif %}
|
||||
|
||||
### Vietnamese
|
||||
|
||||
* <a href="https://fullstackstation.com/fastapi-trien-khai-bang-docker/" class="external-link" target="_blank">FASTAPI: TRIỂN KHAI BẰNG DOCKER</a> by <a href="https://fullstackstation.com/author/figonking/" class="external-link" target="_blank">Nguyễn Nhân</a>.
|
||||
{% if external_links %}
|
||||
{% for article in external_links.articles.vietnamese %}
|
||||
|
||||
* <a href="{{ article.link }}" class="external-link" target="_blank">{{ article.title }}</a> by <a href="{{ article.author_link }}" class="external-link" target="_blank">{{ article.author }}</a>.
|
||||
{% endfor %}
|
||||
{% endif %}
|
||||
|
||||
### Russian
|
||||
|
||||
* <a href="https://habr.com/ru/post/454440/" class="external-link" target="_blank">Мелкая питонячая радость #2: Starlette - Солидная примочка – FastAPI</a> by <a href="https://habr.com/ru/users/57uff3r/" class="external-link" target="_blank">Andrey Korchak</a>.
|
||||
{% if external_links %}
|
||||
{% for article in external_links.articles.russian %}
|
||||
|
||||
* <a href="https://habr.com/ru/post/478620/" class="external-link" target="_blank">Почему Вы должны попробовать FastAPI?</a> by <a href="https://github.com/prostomarkeloff" class="external-link" target="_blank">prostomarkeloff</a>.
|
||||
* <a href="{{ article.link }}" class="external-link" target="_blank">{{ article.title }}</a> by <a href="{{ article.author_link }}" class="external-link" target="_blank">{{ article.author }}</a>.
|
||||
{% endfor %}
|
||||
{% endif %}
|
||||
|
||||
### German
|
||||
|
||||
* <a href="https://blog.codecentric.de/2019/08/inbetriebnahme-eines-scikit-learn-modells-mit-onnx-und-fastapi/" class="external-link" target="_blank">Inbetriebnahme eines scikit-learn-Modells mit ONNX und FastAPI</a> by <a href="https://twitter.com/_nicoax" class="external-link" target="_blank">Nico Axtmann</a>.
|
||||
{% if external_links %}
|
||||
{% for article in external_links.articles.german %}
|
||||
|
||||
* <a href="{{ article.link }}" class="external-link" target="_blank">{{ article.title }}</a> by <a href="{{ article.author_link }}" class="external-link" target="_blank">{{ article.author }}</a>.
|
||||
{% endfor %}
|
||||
{% endif %}
|
||||
|
||||
## Podcasts
|
||||
|
||||
* <a href="https://pythonbytes.fm/episodes/show/123/time-to-right-the-py-wrongs?time_in_sec=855" class="external-link" target="_blank">FastAPI on PythonBytes</a> by <a href="https://pythonbytes.fm/" class="external-link" target="_blank">Python Bytes FM</a>.
|
||||
{% if external_links %}
|
||||
{% for article in external_links.podcasts.english %}
|
||||
|
||||
* <a href="{{ article.link }}" class="external-link" target="_blank">{{ article.title }}</a> by <a href="{{ article.author_link }}" class="external-link" target="_blank">{{ article.author }}</a>.
|
||||
{% endfor %}
|
||||
{% endif %}
|
||||
|
||||
## Talks
|
||||
|
||||
* <a href="https://www.youtube.com/watch?v=3DLwPcrE5mA" class="external-link" target="_blank">PyCon UK 2019: FastAPI from the ground up</a> by <a href="https://twitter.com/chriswithers13" class="external-link" target="_blank">Chris Withers</a>.
|
||||
{% if external_links %}
|
||||
{% for article in external_links.talks.english %}
|
||||
|
||||
* <a href="{{ article.link }}" class="external-link" target="_blank">{{ article.title }}</a> by <a href="{{ article.author_link }}" class="external-link" target="_blank">{{ article.author }}</a>.
|
||||
{% endfor %}
|
||||
{% endif %}
|
||||
|
||||
## Projects
|
||||
|
||||
|
||||
@@ -71,7 +71,7 @@ my_second_user: User = User(**second_user_data)
|
||||
|
||||
### Editor support
|
||||
|
||||
All the framework was designed to be easy and intuitive to use, all the decisions where tested on multiple editors even before starting development, to ensure the best development experience.
|
||||
All the framework was designed to be easy and intuitive to use, all the decisions were tested on multiple editors even before starting development, to ensure the best development experience.
|
||||
|
||||
In the last Python developer survey it was clear <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank">that the most used feature is "autocompletion"</a>.
|
||||
|
||||
|
||||
@@ -12,28 +12,18 @@ And there are several ways to get help too.
|
||||
|
||||
## Star **FastAPI** in GitHub
|
||||
|
||||
You can "star" FastAPI in GitHub (clicking the star button at the top right): <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">https://github.com/tiangolo/fastapi</a>.
|
||||
You can "star" FastAPI in GitHub (clicking the star button at the top right): <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">https://github.com/tiangolo/fastapi</a>. ⭐️
|
||||
|
||||
By adding a star, other users will be able to find it more easily and see that it has been already useful for others.
|
||||
|
||||
## Watch the GitHub repository for releases
|
||||
|
||||
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>.
|
||||
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>. 👀
|
||||
|
||||
There you can select "Releases only".
|
||||
|
||||
Doing it, you will receive notifications (in your email) whenever there's a new release (a new version) of **FastAPI** with bug fixes and new features.
|
||||
|
||||
## Join the chat
|
||||
|
||||
<a href="https://gitter.im/tiangolo/fastapi?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge" target="_blank">
|
||||
<img src="https://badges.gitter.im/tiangolo/fastapi.svg" alt="Join the chat at https://gitter.im/tiangolo/fastapi">
|
||||
</a>
|
||||
|
||||
Join the chat on Gitter: <a href="https://gitter.im/tiangolo/fastapi" class="external-link" target="_blank">https://gitter.im/tiangolo/fastapi</a>.
|
||||
|
||||
There you can ask quick questions, help others, share ideas, etc.
|
||||
|
||||
## Connect with the author
|
||||
|
||||
You can connect with <a href="https://tiangolo.com" class="external-link" target="_blank">me (Sebastián Ramírez / `tiangolo`)</a>, the author.
|
||||
@@ -45,40 +35,32 @@ You can:
|
||||
* 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>.
|
||||
* Tell me how you use FastAPI (I love to hear that).
|
||||
* Ask questions.
|
||||
* Hear when I make announcements or release new tools.
|
||||
* <a href="https://www.linkedin.com/in/tiangolo/" class="external-link" target="_blank">Connect with me on **Linkedin**</a>.
|
||||
* Talk to me.
|
||||
* Endorse me or recommend me :)
|
||||
* <a href="https://medium.com/@tiangolo" class="external-link" target="_blank">Read what I write (or follow me) on **Medium**</a>.
|
||||
* Read other ideas, articles and tools I have created.
|
||||
* Follow me to see when I publish something new.
|
||||
* Hear when I make announcements or release new tools (although I use Twitter more often 🤷♂).
|
||||
* Read what I write (or follow me) on <a href="https://dev.to/tiangolo" class="external-link" target="_blank">**Dev.to**</a> or <a href="https://medium.com/@tiangolo" class="external-link" target="_blank">**Medium**</a>.
|
||||
* Read other ideas, articles, and about tools I have created.
|
||||
* Follow me to read when I publish something new.
|
||||
|
||||
## Tweet about **FastAPI**
|
||||
|
||||
<a href="https://twitter.com/compose/tweet?text=I'm loving FastAPI because... https://github.com/tiangolo/fastapi cc @tiangolo" class="external-link" target="_blank">Tweet about **FastAPI**</a> and let me and others know why you like it.
|
||||
|
||||
## Let me know how are you using **FastAPI**
|
||||
<a href="https://twitter.com/compose/tweet?text=I'm loving FastAPI because... https://github.com/tiangolo/fastapi cc @tiangolo" class="external-link" target="_blank">Tweet about **FastAPI**</a> and let me and others know why you like it. 🎉
|
||||
|
||||
I love to hear about how **FastAPI** is being used, what have you liked in it, in which project/company are you using it, etc.
|
||||
|
||||
You can let me know:
|
||||
|
||||
* <a href="https://twitter.com/compose/tweet?text=Hey @tiangolo, I'm using FastAPI at..." class="external-link" target="_blank">On **Twitter**</a>.
|
||||
* <a href="https://www.linkedin.com/in/tiangolo/" class="external-link" target="_blank">On **Linkedin**</a>.
|
||||
* <a href="https://medium.com/@tiangolo" class="external-link" target="_blank">On **Medium**</a>.
|
||||
|
||||
## Vote for FastAPI
|
||||
|
||||
* <a href="https://github.com/vinta/awesome-python/pull/1209" class="external-link" target="_blank">Vote to include **FastAPI** in `awesome-python`</a>.
|
||||
* <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://github.com/marmelab/awesome-rest/pull/93" class="external-link" target="_blank">Vote for **FastAPI** on awesome-rest</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.
|
||||
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. 🤓
|
||||
|
||||
## 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>.
|
||||
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>. 👀
|
||||
|
||||
If you select "Watching" instead of "Releases only", you will receive notifications when someone creates a new issue.
|
||||
|
||||
@@ -88,9 +70,10 @@ Then you can try and help them solving those issues.
|
||||
|
||||
You can <a href="https://github.com/tiangolo/fastapi/issues/new/choose" class="external-link" target="_blank">create a new issue</a> in the GitHub repository, for example to:
|
||||
|
||||
* Report a bug/issue.
|
||||
* Ask a question or ask about a problem.
|
||||
* Suggest a new feature.
|
||||
* Ask a question.
|
||||
|
||||
**Note**: if you create an issue then I'm going to ask you to also help others. 😉
|
||||
|
||||
## Create a Pull Request
|
||||
|
||||
@@ -101,6 +84,39 @@ You can <a href="https://github.com/tiangolo/fastapi" class="external-link" targ
|
||||
* To fix an existing issue/bug.
|
||||
* To add a new feature.
|
||||
|
||||
## Join the chat
|
||||
|
||||
<a href="https://gitter.im/tiangolo/fastapi?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge" target="_blank">
|
||||
<img src="https://badges.gitter.im/tiangolo/fastapi.svg" alt="Join the chat at https://gitter.im/tiangolo/fastapi">
|
||||
</a>
|
||||
|
||||
Join the chat on Gitter: <a href="https://gitter.im/tiangolo/fastapi" class="external-link" target="_blank">https://gitter.im/tiangolo/fastapi</a>.
|
||||
|
||||
There you can have quick conversations with others, help others, share ideas, etc.
|
||||
|
||||
But have in mind that as it allows more "free conversation", it's easy to ask questions that are too general and more difficult to answer, so, you might not receive answers.
|
||||
|
||||
In GitHub issues the template will guide to to write the right question so that you can more easily get a good answer, or even solve the problem yourself even before asking. And in GitHub I can make sure I always answer everything, even if it takes some time. I can't personally do that with the Gitter chat. 😅
|
||||
|
||||
Conversations in Gitter are also not as easily searchable as in GitHub, so questions and answers might get lost in the conversation.
|
||||
|
||||
On the other side, there's more than 1000 people in the chat, so there's a high chance you'll find someone to talk to there, almost all the time. 😄
|
||||
|
||||
## Sponsor the author
|
||||
|
||||
You can also financially support the author (me) through <a href="https://github.com/sponsors/tiangolo" class="external-link" target="_blank">GitHub sponsors</a>.
|
||||
|
||||
There you could buy me a coffee ☕️ to say thanks 😄.
|
||||
|
||||
## Sponsor the tools that power FastAPI
|
||||
|
||||
As you have seen in the documentation, FastAPI stands on the shoulders of giants, Starlette and Pydantic.
|
||||
|
||||
You can also sponsor:
|
||||
|
||||
* <a href="https://github.com/sponsors/samuelcolvin" class="external-link" target="_blank">Samuel Colvin (Pydantic)</a>
|
||||
* <a href="https://github.com/sponsors/encode" class="external-link" target="_blank">Encode (Starlette, Uvicorn)</a>
|
||||
|
||||
---
|
||||
|
||||
Thanks!
|
||||
Thanks! 🚀
|
||||
|
||||
|
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|
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@@ -5,14 +5,14 @@
|
||||
<em>FastAPI framework, high performance, easy to learn, fast to code, ready for production</em>
|
||||
</p>
|
||||
<p align="center">
|
||||
<a href="https://travis-ci.com/tiangolo/fastapi" target="_blank">
|
||||
<img src="https://travis-ci.com/tiangolo/fastapi.svg?branch=master" alt="Build Status">
|
||||
<a href="https://github.com/tiangolo/fastapi/actions?query=workflow%3ATest" target="_blank">
|
||||
<img src="https://github.com/tiangolo/fastapi/workflows/Test/badge.svg" alt="Test">
|
||||
</a>
|
||||
<a href="https://codecov.io/gh/tiangolo/fastapi" target="_blank">
|
||||
<img src="https://img.shields.io/codecov/c/github/tiangolo/fastapi" alt="Coverage">
|
||||
<img src="https://img.shields.io/codecov/c/github/tiangolo/fastapi?color=%2334D058" alt="Coverage">
|
||||
</a>
|
||||
<a href="https://pypi.org/project/fastapi" target="_blank">
|
||||
<img src="https://badge.fury.io/py/fastapi.svg" alt="Package version">
|
||||
<img src="https://img.shields.io/pypi/v/fastapi?color=%2334D058&label=pypi%20package" alt="Package version">
|
||||
</a>
|
||||
<a href="https://gitter.im/tiangolo/fastapi?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge" target="_blank">
|
||||
<img src="https://badges.gitter.im/tiangolo/fastapi.svg" alt="Join the chat at https://gitter.im/tiangolo/fastapi">
|
||||
@@ -33,7 +33,7 @@ The key features are:
|
||||
|
||||
* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
|
||||
|
||||
* **Fast to code**: Increase the speed to develop features by about 200% to 300% *.
|
||||
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
|
||||
* **Fewer bugs**: Reduce about 40% of human (developer) induced errors. *
|
||||
* **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging.
|
||||
* **Easy**: Designed to be easy to use and learn. Less time reading docs.
|
||||
@@ -45,38 +45,44 @@ The key features are:
|
||||
|
||||
## Opinions
|
||||
|
||||
"*[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products.*"
|
||||
"_[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products._"
|
||||
|
||||
<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>
|
||||
|
||||
---
|
||||
|
||||
"*I’m over the moon excited about **FastAPI**. It’s so fun!*"
|
||||
"_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"
|
||||
|
||||
<div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div>
|
||||
|
||||
---
|
||||
|
||||
"_**Netflix** is pleased to announce the open-source release of our **crisis management** orchestration framework: **Dispatch**! [built with **FastAPI**]_"
|
||||
|
||||
<div style="text-align: right; margin-right: 10%;">Kevin Glisson, Marc Vilanova, Forest Monsen - <strong>Netflix</strong> <a href="https://netflixtechblog.com/introducing-dispatch-da4b8a2a8072" target="_blank"><small>(ref)</small></a></div>
|
||||
|
||||
---
|
||||
|
||||
"_I’m over the moon excited about **FastAPI**. It’s so fun!_"
|
||||
|
||||
<div style="text-align: right; margin-right: 10%;">Brian Okken - <strong><a href="https://pythonbytes.fm/episodes/show/123/time-to-right-the-py-wrongs?time_in_sec=855" target="_blank">Python Bytes</a> podcast host</strong> <a href="https://twitter.com/brianokken/status/1112220079972728832" target="_blank"><small>(ref)</small></a></div>
|
||||
|
||||
---
|
||||
|
||||
"*Honestly, what you've built looks super solid and polished. In many ways, it's what I wanted **Hug** to be - it's really inspiring to see someone build that.*"
|
||||
"_Honestly, what you've built looks super solid and polished. In many ways, it's what I wanted **Hug** to be - it's really inspiring to see someone build that._"
|
||||
|
||||
<div style="text-align: right; margin-right: 10%;">Timothy Crosley - <strong><a href="http://www.hug.rest/" target="_blank">Hug</a> creator</strong> <a href="https://news.ycombinator.com/item?id=19455465" target="_blank"><small>(ref)</small></a></div>
|
||||
|
||||
---
|
||||
|
||||
"*If you're looking to learn one **modern framework** for building REST APIs, check out **FastAPI** [...] It's fast, easy to use and easy to learn [...]*"
|
||||
"_If you're looking to learn one **modern framework** for building REST APIs, check out **FastAPI** [...] It's fast, easy to use and easy to learn [...]_"
|
||||
|
||||
"*We've switched over to **FastAPI** for our **APIs** [...] I think you'll like it [...]*"
|
||||
"_We've switched over to **FastAPI** for our **APIs** [...] I think you'll like it [...]_"
|
||||
|
||||
<div style="text-align: right; margin-right: 10%;">Ines Montani - Matthew Honnibal - <strong><a href="https://explosion.ai" target="_blank">Explosion AI</a> founders - <a href="https://spacy.io" target="_blank">spaCy</a> creators</strong> <a href="https://twitter.com/_inesmontani/status/1144173225322143744" target="_blank"><small>(ref)</small></a> - <a href="https://twitter.com/honnibal/status/1144031421859655680" target="_blank"><small>(ref)</small></a></div>
|
||||
|
||||
---
|
||||
|
||||
"*We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]*"
|
||||
|
||||
<div style="text-align: right; margin-right: 10%;">Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala - <strong>Uber</strong> <a href="https://eng.uber.com/ludwig-v0-2/" target="_blank"><small>(ref)</small></a></div>
|
||||
|
||||
---
|
||||
|
||||
## **Typer**, the FastAPI of CLIs
|
||||
|
||||
<a href="https://typer.tiangolo.com" target="_blank"><img src="https://typer.tiangolo.com/img/logo-margin/logo-margin-vector.svg" style="width: 20%;"></a>
|
||||
@@ -125,6 +131,8 @@ $ pip install uvicorn
|
||||
* Create a file `main.py` with:
|
||||
|
||||
```Python
|
||||
from typing import Optional
|
||||
|
||||
from fastapi import FastAPI
|
||||
|
||||
app = FastAPI()
|
||||
@@ -136,7 +144,7 @@ def read_root():
|
||||
|
||||
|
||||
@app.get("/items/{item_id}")
|
||||
def read_item(item_id: int, q: str = None):
|
||||
def read_item(item_id: int, q: Optional[str] = None):
|
||||
return {"item_id": item_id, "q": q}
|
||||
```
|
||||
|
||||
@@ -145,7 +153,9 @@ def read_item(item_id: int, q: str = None):
|
||||
|
||||
If your code uses `async` / `await`, use `async def`:
|
||||
|
||||
```Python hl_lines="7 12"
|
||||
```Python hl_lines="9 14"
|
||||
from typing import Optional
|
||||
|
||||
from fastapi import FastAPI
|
||||
|
||||
app = FastAPI()
|
||||
@@ -157,7 +167,7 @@ async def read_root():
|
||||
|
||||
|
||||
@app.get("/items/{item_id}")
|
||||
async def read_item(item_id: int, q: str = None):
|
||||
async def read_item(item_id: int, q: Optional[str] = None):
|
||||
return {"item_id": item_id, "q": q}
|
||||
```
|
||||
|
||||
@@ -176,11 +186,11 @@ Run the server with:
|
||||
```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)
|
||||
<span style="color: green;">INFO</span>: Started reloader process [28720]
|
||||
<span style="color: green;">INFO</span>: Started server process [28722]
|
||||
<span style="color: green;">INFO</span>: Waiting for application startup.
|
||||
<span style="color: green;">INFO</span>: Application startup complete.
|
||||
INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
|
||||
INFO: Started reloader process [28720]
|
||||
INFO: Started server process [28722]
|
||||
INFO: Waiting for application startup.
|
||||
INFO: Application startup complete.
|
||||
```
|
||||
|
||||
</div>
|
||||
@@ -235,7 +245,9 @@ Now modify the file `main.py` to receive a body from a `PUT` request.
|
||||
|
||||
Declare the body using standard Python types, thanks to Pydantic.
|
||||
|
||||
```Python hl_lines="2 7 8 9 10 23 24 25"
|
||||
```Python hl_lines="4 9 10 11 12 25 26 27"
|
||||
from typing import Optional
|
||||
|
||||
from fastapi import FastAPI
|
||||
from pydantic import BaseModel
|
||||
|
||||
@@ -245,7 +257,7 @@ app = FastAPI()
|
||||
class Item(BaseModel):
|
||||
name: str
|
||||
price: float
|
||||
is_offer: bool = None
|
||||
is_offer: Optional[bool] = None
|
||||
|
||||
|
||||
@app.get("/")
|
||||
@@ -254,7 +266,7 @@ def read_root():
|
||||
|
||||
|
||||
@app.get("/items/{item_id}")
|
||||
def read_item(item_id: int, q: str = None):
|
||||
def read_item(item_id: int, q: Optional[str] = None):
|
||||
return {"item_id": item_id, "q": q}
|
||||
|
||||
|
||||
|
||||
@@ -35,7 +35,7 @@ function setupTermynal() {
|
||||
|
||||
function createTermynals() {
|
||||
document
|
||||
.querySelectorAll(`.${termynalActivateClass} .codehilite`)
|
||||
.querySelectorAll(`.${termynalActivateClass} .highlight`)
|
||||
.forEach(node => {
|
||||
const text = node.textContent;
|
||||
const lines = text.split("\n");
|
||||
|
||||
@@ -1,16 +1,18 @@
|
||||
# Project Generation - Template
|
||||
|
||||
There is a project generator that you can use to get started, with a lot of the initial set up, security, database and first API endpoints already done for you.
|
||||
You can use a project generator to get started, as it includes a lot of the initial set up, security, database and first API endpoints already done for you.
|
||||
|
||||
## Full-Stack-FastAPI-PostgreSQL
|
||||
A project generator will always have a very opinionated setup that you should update and adapt for your own needs, but it might be a good starting point for your project.
|
||||
|
||||
## Full Stack FastAPI PostgreSQL
|
||||
|
||||
GitHub: <a href="https://github.com/tiangolo/full-stack-fastapi-postgresql" class="external-link" target="_blank">https://github.com/tiangolo/full-stack-fastapi-postgresql</a>
|
||||
|
||||
### Full-Stack-FastAPI-PostgreSQL Features
|
||||
### Full Stack FastAPI PostgreSQL - Features
|
||||
|
||||
* Full **Docker** integration (Docker based).
|
||||
* Docker Swarm Mode deployment.
|
||||
* **Docker Compose** integration and optimization for local development
|
||||
* **Docker Compose** integration and optimization for local development.
|
||||
* **Production ready** Python web server using Uvicorn and Gunicorn.
|
||||
* Python <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">**FastAPI**</a> backend:
|
||||
* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic).
|
||||
@@ -19,14 +21,14 @@ GitHub: <a href="https://github.com/tiangolo/full-stack-fastapi-postgresql" clas
|
||||
* **Short**: Minimize code duplication. Multiple features from each parameter declaration.
|
||||
* **Robust**: Get production-ready code. With automatic interactive documentation.
|
||||
* **Standards-based**: Based on (and fully compatible with) the open standards for APIs: <a href="https://github.com/OAI/OpenAPI-Specification" class="external-link" target="_blank">OpenAPI</a> and <a href="http://json-schema.org/" class="external-link" target="_blank">JSON Schema</a>.
|
||||
* Many other features including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc.
|
||||
* <a href="https://fastapi.tiangolo.com/features/" class="external-link" target="_blank">**Many other features**</a> including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc.
|
||||
* **Secure password** hashing by default.
|
||||
* **JWT token** authentication.
|
||||
* **SQLAlchemy** models (independent of Flask extensions, so they can be used with Celery workers directly).
|
||||
* Basic starting models for users (modify and remove as you need).
|
||||
* **Alembic** migrations.
|
||||
* **CORS** (Cross Origin Resource Sharing).
|
||||
* **Celery** worker that can import and use models and code from the rest of the backend selectively (you don't have to install the complete app in each worker).
|
||||
* **Celery** worker that can import and use models and code from the rest of the backend selectively.
|
||||
* REST backend tests based on **Pytest**, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time (so you can use ElasticSearch, MongoDB, CouchDB, or whatever you want, and just test that the API works).
|
||||
* Easy Python integration with **Jupyter Kernels** for remote or in-Docker development with extensions like Atom Hydrogen or Visual Studio Code Jupyter.
|
||||
* **Vue** frontend:
|
||||
@@ -50,53 +52,33 @@ GitHub: <a href="https://github.com/tiangolo/full-stack-fastapi-postgresql" clas
|
||||
* Traefik integration, including Let's Encrypt **HTTPS** certificates automatic generation.
|
||||
* GitLab **CI** (continuous integration), including frontend and backend testing.
|
||||
|
||||
## Full-Stack-FastAPI-Couchbase
|
||||
## Full Stack FastAPI Couchbase
|
||||
|
||||
GitHub: <a href="https://github.com/tiangolo/full-stack-fastapi-couchbase" class="external-link" target="_blank">https://github.com/tiangolo/full-stack-fastapi-couchbase</a>
|
||||
|
||||
### Full-Stack-FastAPI-Couchbase Features
|
||||
⚠️ **WARNING** ⚠️
|
||||
|
||||
* Full **Docker** integration (Docker based).
|
||||
* Docker Swarm Mode deployment.
|
||||
* **Docker Compose** integration and optimization for local development.
|
||||
If you are starting a new project from scratch, check the alternatives here.
|
||||
|
||||
For example, the project generator <a href="https://github.com/tiangolo/full-stack-fastapi-postgresql" class="external-link" target="_blank">Full Stack FastAPI PostgreSQL</a> might be a better alternative, as it is actively maintained and used. And it includes all the new features and improvements.
|
||||
|
||||
You are still free to use the Couchbase-based generator if you want to, it should probably still work fine, and if you already have a project generated with it that's fine as well (and you probably already updated it to suit your needs).
|
||||
|
||||
You can read more about it in the docs for the repo.
|
||||
|
||||
## Full Stack FastAPI MongoDB
|
||||
|
||||
...might come later, depending on my time availability and other factors. 😅 🎉
|
||||
|
||||
## Machine Learning models with spaCy and FastAPI
|
||||
|
||||
GitHub: <a href="https://github.com/microsoft/cookiecutter-spacy-fastapi" class="external-link" target="_blank">https://github.com/microsoft/cookiecutter-spacy-fastapi</a>
|
||||
|
||||
### Machine Learning models with spaCy and FastAPI - Features
|
||||
|
||||
* **spaCy** NER model integration.
|
||||
* **Azure Cognitive Search** request format built in.
|
||||
* **Production ready** Python web server using Uvicorn and Gunicorn.
|
||||
* Python <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">**FastAPI**</a> backend:
|
||||
* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic).
|
||||
* **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging.
|
||||
* **Easy**: Designed to be easy to use and learn. Less time reading docs.
|
||||
* **Short**: Minimize code duplication. Multiple features from each parameter declaration.
|
||||
* **Robust**: Get production-ready code. With automatic interactive documentation.
|
||||
* **Standards-based**: <a href="https://github.com/OAI/OpenAPI-Specification" class="external-link" target="_blank">OpenAPI</a> and <a href="http://json-schema.org/" class="external-link" target="_blank">JSON Schema</a>.
|
||||
* Many other features including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc.
|
||||
* **Secure password** hashing by default.
|
||||
* **JWT token** authentication.
|
||||
* **CORS** (Cross Origin Resource Sharing).
|
||||
* **Celery** worker that can import and use code from the rest of the backend selectively (you don't have to install the complete app in each worker).
|
||||
* **NoSQL Couchbase** database that supports direct synchronization via Couchbase Sync Gateway for offline-first applications.
|
||||
* **Full Text Search** integrated, using Couchbase.
|
||||
* REST backend tests based on Pytest, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time (so you can use ElasticSearch, MongoDB, or whatever you want, and just test that the API works).
|
||||
* Easy Python integration with **Jupyter** Kernels for remote or in-Docker development with extensions like Atom Hydrogen or Visual Studio Code Jupyter.
|
||||
* **Email notifications** for account creation and password recovery, compatible with:
|
||||
* Mailgun
|
||||
* SparkPost
|
||||
* SendGrid
|
||||
* ...any other provider that can generate standard SMTP credentials.
|
||||
* **Vue** frontend:
|
||||
* Generated with Vue CLI.
|
||||
* **JWT Authentication** handling.
|
||||
* Login view.
|
||||
* After login, main dashboard view.
|
||||
* Main dashboard with user creation and edition.
|
||||
* Self user edition.
|
||||
* **Vuex**.
|
||||
* **Vue-router**.
|
||||
* **Vuetify** for beautiful material design components.
|
||||
* **TypeScript**.
|
||||
* Docker server based on **Nginx** (configured to play nicely with Vue-router).
|
||||
* Docker multi-stage building, so you don't need to save or commit compiled code.
|
||||
* Frontend tests ran at build time (can be disabled too).
|
||||
* Made as modular as possible, so it works out of the box, but you can re-generate with Vue CLI or create it as you need, and re-use what you want.
|
||||
* **Flower** for Celery jobs monitoring.
|
||||
* Load balancing between frontend and backend with **Traefik**, so you can have both under the same domain, separated by path, but served by different containers.
|
||||
* Traefik integration, including Let's Encrypt **HTTPS** certificates automatic generation.
|
||||
* GitLab **CI** (continuous integration), including frontend and backend testing.
|
||||
* **Azure DevOps** Kubernetes (AKS) CI/CD deployment built in.
|
||||
* **Multilingual** Easily choose one of spaCy's built in languages during project setup.
|
||||
* **Easily extensible** to other model frameworks (Pytorch, Tensorflow), not just spaCy.
|
||||
|
||||
@@ -144,15 +144,15 @@ You can use, for example:
|
||||
{!../../../docs_src/python_types/tutorial005.py!}
|
||||
```
|
||||
|
||||
### Types with subtypes
|
||||
### Generic types with type parameters
|
||||
|
||||
There are some data structures that can contain other values, like `dict`, `list`, `set` and `tuple`. And the internal values can have their own type too.
|
||||
|
||||
To declare those types and the subtypes, you can use the standard Python module `typing`.
|
||||
To declare those types and the internal types, you can use the standard Python module `typing`.
|
||||
|
||||
It exists specifically to support these type hints.
|
||||
|
||||
#### Lists
|
||||
#### `List`
|
||||
|
||||
For example, let's define a variable to be a `list` of `str`.
|
||||
|
||||
@@ -166,25 +166,30 @@ Declare the variable, with the same colon (`:`) syntax.
|
||||
|
||||
As the type, put the `List`.
|
||||
|
||||
As the list is a type that takes a "subtype", you put the subtype in square brackets:
|
||||
As the list is a type that contains some internal types, you put them in square brackets:
|
||||
|
||||
```Python hl_lines="4"
|
||||
{!../../../docs_src/python_types/tutorial006.py!}
|
||||
```
|
||||
|
||||
!!! tip
|
||||
Those internal types in the square brackets are called "type parameters".
|
||||
|
||||
In this case, `str` is the type parameter passed to `List`.
|
||||
|
||||
That means: "the variable `items` is a `list`, and each of the items in this list is a `str`".
|
||||
|
||||
By doing that, your editor can provide support even while processing items from the list.
|
||||
|
||||
Without types, that's almost impossible to achieve:
|
||||
By doing that, your editor can provide support even while processing items from the list:
|
||||
|
||||
<img src="/img/python-types/image05.png">
|
||||
|
||||
Without types, that's almost impossible to achieve.
|
||||
|
||||
Notice that the variable `item` is one of the elements in the list `items`.
|
||||
|
||||
And still, the editor knows it is a `str`, and provides support for that.
|
||||
|
||||
#### Tuples and Sets
|
||||
#### `Tuple` and `Set`
|
||||
|
||||
You would do the same to declare `tuple`s and `set`s:
|
||||
|
||||
@@ -194,16 +199,16 @@ You would do the same to declare `tuple`s and `set`s:
|
||||
|
||||
This means:
|
||||
|
||||
* The variable `items_t` is a `tuple`, and each of its items is an `int`.
|
||||
* The variable `items_t` is a `tuple` with 3 items, an `int`, another `int`, and a `str`.
|
||||
* The variable `items_s` is a `set`, and each of its items is of type `bytes`.
|
||||
|
||||
#### Dicts
|
||||
#### `Dict`
|
||||
|
||||
To define a `dict`, you pass 2 subtypes, separated by commas.
|
||||
To define a `dict`, you pass 2 type parameters, separated by commas.
|
||||
|
||||
The first subtype is for the keys of the `dict`.
|
||||
The first type parameter is for the keys of the `dict`.
|
||||
|
||||
The second subtype is for the values of the `dict`:
|
||||
The second type parameter is for the values of the `dict`:
|
||||
|
||||
```Python hl_lines="1 4"
|
||||
{!../../../docs_src/python_types/tutorial008.py!}
|
||||
@@ -215,6 +220,29 @@ This means:
|
||||
* The keys of this `dict` are of type `str` (let's say, the name of each item).
|
||||
* The values of this `dict` are of type `float` (let's say, the price of each item).
|
||||
|
||||
#### `Optional`
|
||||
|
||||
You can also use `Optional` to declare that a variable has a type, like `str`, but that it is "optional", which means that it could also be `None`:
|
||||
|
||||
```Python hl_lines="1 4"
|
||||
{!../../../docs_src/python_types/tutorial009.py!}
|
||||
```
|
||||
|
||||
Using `Optional[str]` instead of just `str` will let the editor help you detecting errors where you could be assuming that a value is always a `str`, when it could actually be `None` too.
|
||||
|
||||
#### Generic types
|
||||
|
||||
These types that take type parameters in square brackets, like:
|
||||
|
||||
* `List`
|
||||
* `Tuple`
|
||||
* `Set`
|
||||
* `Dict`
|
||||
* `Optional`
|
||||
* ...and others.
|
||||
|
||||
are called **Generic types** or **Generics**.
|
||||
|
||||
### Classes as types
|
||||
|
||||
You can also declare a class as the type of a variable.
|
||||
@@ -222,13 +250,13 @@ You can also declare a class as the type of a variable.
|
||||
Let's say you have a class `Person`, with a name:
|
||||
|
||||
```Python hl_lines="1 2 3"
|
||||
{!../../../docs_src/python_types/tutorial009.py!}
|
||||
{!../../../docs_src/python_types/tutorial010.py!}
|
||||
```
|
||||
|
||||
Then you can declare a variable to be of type `Person`:
|
||||
|
||||
```Python hl_lines="6"
|
||||
{!../../../docs_src/python_types/tutorial009.py!}
|
||||
{!../../../docs_src/python_types/tutorial010.py!}
|
||||
```
|
||||
|
||||
And then, again, you get all the editor support:
|
||||
@@ -250,7 +278,7 @@ And you get all the editor support with that resulting object.
|
||||
Taken from the official Pydantic docs:
|
||||
|
||||
```Python
|
||||
{!../../../docs_src/python_types/tutorial010.py!}
|
||||
{!../../../docs_src/python_types/tutorial011.py!}
|
||||
```
|
||||
|
||||
!!! info
|
||||
|
||||
@@ -2,6 +2,269 @@
|
||||
|
||||
## Latest changes
|
||||
|
||||
## 0.61.0
|
||||
|
||||
### Features
|
||||
|
||||
* Add support for injecting `HTTPConnection` (as `Request` and `WebSocket`). Useful for sharing app state in dependencies. PR [#1827](https://github.com/tiangolo/fastapi/pull/1827) by [@nsidnev](https://github.com/nsidnev).
|
||||
* Export `WebSocketDisconnect` and add example handling WebSocket disconnections to docs. PR [#1822](https://github.com/tiangolo/fastapi/pull/1822) by [@rkbeatss](https://github.com/rkbeatss).
|
||||
|
||||
### Breaking Changes
|
||||
|
||||
* Require Pydantic > `1.0.0`.
|
||||
* Remove support for deprecated Pydantic `0.32.2`. This improves maintainability and allows new features.
|
||||
* In `FastAPI` and `APIRouter`:
|
||||
* Remove *path operation decorators* related/deprecated parameter `response_model_skip_defaults` (use `response_model_exclude_unset` instead).
|
||||
* Change *path operation decorators* parameter default for `response_model_exclude` from `set()` to `None` (as is in Pydantic).
|
||||
* In `encoders.jsonable_encoder`:
|
||||
* Remove deprecated `skip_defaults`, use instead `exclude_unset`.
|
||||
* Set default of `exclude` from `set()` to `None` (as is in Pydantic).
|
||||
* PR [#1862](https://github.com/tiangolo/fastapi/pull/1862).
|
||||
* In `encoders.jsonable_encoder` remove parameter `sqlalchemy_safe`.
|
||||
* It was an early hack to allow returning SQLAlchemy models, but it was never documented, and the recommended way is using Pydantic's `orm_mode` as described in the tutorial: [SQL (Relational) Databases](https://fastapi.tiangolo.com/tutorial/sql-databases/).
|
||||
* PR [#1864](https://github.com/tiangolo/fastapi/pull/1864).
|
||||
|
||||
### Docs
|
||||
|
||||
* Add link to the course by TestDriven.io: [Test-Driven Development with FastAPI and Docker](https://testdriven.io/courses/tdd-fastapi/). PR [#1860](https://github.com/tiangolo/fastapi/pull/1860).
|
||||
* Fix empty log message in docs example about handling errors. PR [#1815](https://github.com/tiangolo/fastapi/pull/1815) by [@manlix](https://github.com/manlix).
|
||||
* Reword text to reduce ambiguity while not being gender-specific. PR [#1824](https://github.com/tiangolo/fastapi/pull/1824) by [@Mause](https://github.com/Mause).
|
||||
|
||||
### Internal
|
||||
|
||||
* Add Flake8 linting. Original PR [#1774](https://github.com/tiangolo/fastapi/pull/1774) by [@MashhadiNima](https://github.com/MashhadiNima).
|
||||
* Disable Gitter bot, as it's currently broken, and Gitter's response doesn't show the problem. PR [#1853](https://github.com/tiangolo/fastapi/pull/1853).
|
||||
|
||||
## 0.60.2
|
||||
|
||||
* Fix typo in docs for query parameters. PR [#1832](https://github.com/tiangolo/fastapi/pull/1832) by [@ycd](https://github.com/ycd).
|
||||
* Add docs about [Async Tests](https://fastapi.tiangolo.com/advanced/async-tests/). PR [#1619](https://github.com/tiangolo/fastapi/pull/1619) by [@empicano](https://github.com/empicano).
|
||||
* Raise an exception when using form data (`Form`, `File`) without having `python-multipart` installed.
|
||||
* Up to now the application would run, and raise an exception only when receiving a request with form data, the new behavior, raising early, will prevent from deploying applications with broken dependencies.
|
||||
* It also detects if the correct package `python-multipart` is installed instead of the incorrect `multipart` (both importable as `multipart`).
|
||||
* PR [#1851](https://github.com/tiangolo/fastapi/pull/1851) based on original PR [#1627](https://github.com/tiangolo/fastapi/pull/1627) by [@chrisngyn](https://github.com/chrisngyn), [@YKo20010](https://github.com/YKo20010), [@kx-chen](https://github.com/kx-chen).
|
||||
* Re-enable Gitter releases bot. PR [#1831](https://github.com/tiangolo/fastapi/pull/1831).
|
||||
* Add link to async SQL databases tutorial from main SQL tutorial. PR [#1813](https://github.com/tiangolo/fastapi/pull/1813) by [@short2strings](https://github.com/short2strings).
|
||||
* Fix typo in tutorial about behind a proxy. PR [#1807](https://github.com/tiangolo/fastapi/pull/1807) by [@toidi](https://github.com/toidi).
|
||||
* Fix typo in Portuguese docs. PR [#1795](https://github.com/tiangolo/fastapi/pull/1795) by [@izaguerreiro](https://github.com/izaguerreiro).
|
||||
* Add translations setup for Ukrainian. PR [#1830](https://github.com/tiangolo/fastapi/pull/1830).
|
||||
* Add external link [Build And Host Fast Data Science Applications Using FastAPI](https://towardsdatascience.com/build-and-host-fast-data-science-applications-using-fastapi-823be8a1d6a0). PR [#1786](https://github.com/tiangolo/fastapi/pull/1786) by [@Kludex](https://github.com/Kludex).
|
||||
* Fix encoding of Pydantic models that inherit from others models with custom `json_encoders`. PR [#1769](https://github.com/tiangolo/fastapi/pull/1769) by [@henrybetts](https://github.com/henrybetts).
|
||||
* Simplify and improve `jsonable_encoder`. PR [#1754](https://github.com/tiangolo/fastapi/pull/1754) by [@MashhadiNima](https://github.com/MashhadiNima).
|
||||
* Simplify internal code syntax in several points. PR [#1753](https://github.com/tiangolo/fastapi/pull/1753) by [@uriyyo](https://github.com/uriyyo).
|
||||
* Improve internal typing, declare `Optional` parameters. PR [#1731](https://github.com/tiangolo/fastapi/pull/1731) by [@MashhadiNima](https://github.com/MashhadiNima).
|
||||
* Add external link [Deploy FastAPI on Azure App Service](https://www.tutlinks.com/deploy-fastapi-on-azure/) to docs. PR [#1726](https://github.com/tiangolo/fastapi/pull/1726) by [@windson](https://github.com/windson).
|
||||
* Add link to Starlette docs about WebSocket testing. PR [#1717](https://github.com/tiangolo/fastapi/pull/1717) by [@hellocoldworld](https://github.com/hellocoldworld).
|
||||
* Refactor generating dependant, merge for loops. PR [#1714](https://github.com/tiangolo/fastapi/pull/1714) by [@Bloodielie](https://github.com/Bloodielie).
|
||||
* Update example for templates with Jinja to include HTML media type. PR [#1690](https://github.com/tiangolo/fastapi/pull/1690) by [@frafra](https://github.com/frafra).
|
||||
* Fix typos in docs for security. PR [#1678](https://github.com/tiangolo/fastapi/pull/1678) by [@nilslindemann](https://github.com/nilslindemann).
|
||||
* Fix typos in docs for dependencies. PR [#1675](https://github.com/tiangolo/fastapi/pull/1675) by [@nilslindemann](https://github.com/nilslindemann).
|
||||
* Fix type annotation for `**extra` parameters in `FastAPI`. PR [#1659](https://github.com/tiangolo/fastapi/pull/1659) by [@bharel](https://github.com/bharel).
|
||||
* Bump MkDocs Material to fix docs in browsers with dark mode. PR [#1789](https://github.com/tiangolo/fastapi/pull/1789) by [@adriencaccia](https://github.com/adriencaccia).
|
||||
* Remove docs preview comment from each commit. PR [#1826](https://github.com/tiangolo/fastapi/pull/1826).
|
||||
* Update GitHub context extraction for Gitter notification bot. PR [#1766](https://github.com/tiangolo/fastapi/pull/1766).
|
||||
|
||||
## 0.60.1
|
||||
|
||||
* Add debugging logs for GitHub actions to introspect GitHub hidden context. PR [#1764](https://github.com/tiangolo/fastapi/pull/1764).
|
||||
* Use OS preference theme for online docs. PR [#1760](https://github.com/tiangolo/fastapi/pull/1760) by [@adriencaccia](https://github.com/adriencaccia).
|
||||
* Upgrade Starlette to version `0.13.6` to handle a vulnerability when using static files in Windows. PR [#1759](https://github.com/tiangolo/fastapi/pull/1759) by [@jamesag26](https://github.com/jamesag26).
|
||||
* Pin Swagger UI temporarily, waiting for a fix for [swagger-api/swagger-ui#6249](https://github.com/swagger-api/swagger-ui/issues/6249). PR [#1763](https://github.com/tiangolo/fastapi/pull/1763).
|
||||
* Update GitHub Actions, use commit from PR for docs preview, not commit from pre-merge. PR [#1761](https://github.com/tiangolo/fastapi/pull/1761).
|
||||
* Update GitHub Actions, refactor Gitter bot. PR [#1746](https://github.com/tiangolo/fastapi/pull/1746).
|
||||
|
||||
## 0.60.0
|
||||
|
||||
* Add GitHub Action to watch for missing preview docs and trigger a preview deploy. PR [#1740](https://github.com/tiangolo/fastapi/pull/1740).
|
||||
* Add custom GitHub Action to get artifact with docs preview. PR [#1739](https://github.com/tiangolo/fastapi/pull/1739).
|
||||
* Add new GitHub Actions to preview docs from PRs. PR [#1738](https://github.com/tiangolo/fastapi/pull/1738).
|
||||
* Add XML test coverage to support GitHub Actions. PR [#1737](https://github.com/tiangolo/fastapi/pull/1737).
|
||||
* Update badges and remove Travis now that GitHub Actions is the main CI. PR [#1736](https://github.com/tiangolo/fastapi/pull/1736).
|
||||
* Add GitHub Actions for CI, move from Travis. PR [#1735](https://github.com/tiangolo/fastapi/pull/1735).
|
||||
* Add support for adding OpenAPI schema for GET requests with a body. PR [#1626](https://github.com/tiangolo/fastapi/pull/1626) by [@victorphoenix3](https://github.com/victorphoenix3).
|
||||
|
||||
## 0.59.0
|
||||
|
||||
* Fix typo in docstring for OAuth2 utils. PR [#1621](https://github.com/tiangolo/fastapi/pull/1621) by [@tomarv2](https://github.com/tomarv2).
|
||||
* Update JWT docs to use Python-jose instead of PyJWT. Initial PR [#1610](https://github.com/tiangolo/fastapi/pull/1610) by [@asheux](https://github.com/asheux).
|
||||
* Fix/re-enable search bar in docs. PR [#1703](https://github.com/tiangolo/fastapi/pull/1703).
|
||||
* Auto-generate a "server" in OpenAPI `servers` when there's a `root_path` instead of prefixing all the `paths`:
|
||||
* Add a new parameter for `FastAPI` classes: `root_path_in_servers` to disable the auto-generation of `servers`.
|
||||
* New docs about `root_path` and `servers` in [Additional Servers](https://fastapi.tiangolo.com/advanced/behind-a-proxy/#additional-servers).
|
||||
* Update OAuth2 examples to use a relative URL for `tokenUrl="token"` to make sure those examples keep working as-is even when behind a reverse proxy.
|
||||
* Initial PR [#1596](https://github.com/tiangolo/fastapi/pull/1596) by [@rkbeatss](https://github.com/rkbeatss).
|
||||
* Fix typo/link in External Links. PR [#1702](https://github.com/tiangolo/fastapi/pull/1702).
|
||||
* Update handling of [External Links](https://fastapi.tiangolo.com/external-links/) to use a data file and allow translating the headers without becoming obsolete quickly when new links are added. PR [#https://github.com/tiangolo/fastapi/pull/1701](https://github.com/tiangolo/fastapi/pull/1701).
|
||||
* Add external link [Machine learning model serving in Python using FastAPI and Streamlit](https://davidefiocco.github.io/2020/06/27/streamlit-fastapi-ml-serving.html) to docs. PR [#1669](https://github.com/tiangolo/fastapi/pull/1669) by [@davidefiocco](https://github.com/davidefiocco).
|
||||
* Add note in docs on order in Pydantic Unions. PR [#1591](https://github.com/tiangolo/fastapi/pull/1591) by [@kbanc](https://github.com/kbanc).
|
||||
* Improve support for tests in editor. PR [#1699](https://github.com/tiangolo/fastapi/pull/1699).
|
||||
* Pin dependencies. PR [#1697](https://github.com/tiangolo/fastapi/pull/1697).
|
||||
* Update isort to version 5.x.x. PR [#1670](https://github.com/tiangolo/fastapi/pull/1670) by [@asheux](https://github.com/asheux).
|
||||
|
||||
## 0.58.1
|
||||
|
||||
* Add link in docs to Pydantic data types. PR [#1612](https://github.com/tiangolo/fastapi/pull/1612) by [@tayoogunbiyi](https://github.com/tayoogunbiyi).
|
||||
* Fix link in warning logs for `openapi_prefix`. PR [#1611](https://github.com/tiangolo/fastapi/pull/1611) by [@bavaria95](https://github.com/bavaria95).
|
||||
* Fix bad link in docs. PR [#1603](https://github.com/tiangolo/fastapi/pull/1603) by [@molto0504](https://github.com/molto0504).
|
||||
* Add Vim temporary files to `.gitignore` for contributors using Vim. PR [#1590](https://github.com/tiangolo/fastapi/pull/1590) by [@asheux](https://github.com/asheux).
|
||||
* Fix typo in docs for sub-applications. PR [#1578](https://github.com/tiangolo/fastapi/pull/1578) by [@schlpbch](https://github.com/schlpbch).
|
||||
* Use `Optional` in all the examples in the docs. Original PR [#1574](https://github.com/tiangolo/fastapi/pull/1574) by [@chrisngyn](https://github.com/chrisngyn), [@kx-chen](https://github.com/kx-chen), [@YKo20010](https://github.com/YKo20010). Updated and merged PR [#1644](https://github.com/tiangolo/fastapi/pull/1644).
|
||||
* Update tests and handling of `response_model_by_alias`. PR [#1642](https://github.com/tiangolo/fastapi/pull/1642).
|
||||
* Add translation to Chinese for [Body - Fields - 请求体 - 字段](https://fastapi.tiangolo.com/zh/tutorial/body-fields/). PR [#1569](https://github.com/tiangolo/fastapi/pull/1569) by [@waynerv](https://github.com/waynerv).
|
||||
* Update Chinese translation of main page. PR [#1564](https://github.com/tiangolo/fastapi/pull/1564) by [@waynerv](https://github.com/waynerv).
|
||||
* Add translation to Chinese for [Body - Multiple Parameters - 请求体 - 多个参数](https://fastapi.tiangolo.com/zh/tutorial/body-multiple-params/). PR [#1532](https://github.com/tiangolo/fastapi/pull/1532) by [@waynerv](https://github.com/waynerv).
|
||||
* Add translation to Chinese for [Path Parameters and Numeric Validations - 路径参数和数值校验](https://fastapi.tiangolo.com/zh/tutorial/path-params-numeric-validations/). PR [#1506](https://github.com/tiangolo/fastapi/pull/1506) by [@waynerv](https://github.com/waynerv).
|
||||
* Add GitHub action to auto-label approved PRs (mainly for translations). PR [#1638](https://github.com/tiangolo/fastapi/pull/1638).
|
||||
|
||||
## 0.58.0
|
||||
|
||||
* Deep merge OpenAPI responses to preserve all the additional metadata. PR [#1577](https://github.com/tiangolo/fastapi/pull/1577).
|
||||
* Mention in docs that only main app events are run (not sub-apps). PR [#1554](https://github.com/tiangolo/fastapi/pull/1554) by [@amacfie](https://github.com/amacfie).
|
||||
* Fix body validation error response, do not include body variable when it is not embedded. PR [#1553](https://github.com/tiangolo/fastapi/pull/1553) by [@amacfie](https://github.com/amacfie).
|
||||
* Fix testing OAuth2 security scopes when using dependency overrides. PR [#1549](https://github.com/tiangolo/fastapi/pull/1549) by [@amacfie](https://github.com/amacfie).
|
||||
* Fix Model for JSON Schema keyword `not` as a JSON Schema instead of a list. PR [#1548](https://github.com/tiangolo/fastapi/pull/1548) by [@v-do](https://github.com/v-do).
|
||||
* Add support for OpenAPI `servers`. PR [#1547](https://github.com/tiangolo/fastapi/pull/1547) by [@mikaello](https://github.com/mikaello).
|
||||
|
||||
## 0.57.0
|
||||
|
||||
* Remove broken link from "External Links". PR [#1565](https://github.com/tiangolo/fastapi/pull/1565) by [@victorphoenix3](https://github.com/victorphoenix3).
|
||||
* Update/fix docs for [WebSockets with dependencies](https://fastapi.tiangolo.com/advanced/websockets/#using-depends-and-others). Original PR [#1540](https://github.com/tiangolo/fastapi/pull/1540) by [@ChihSeanHsu](https://github.com/ChihSeanHsu).
|
||||
* Add support for Python's `http.HTTPStatus` in `status_code` parameters. PR [#1534](https://github.com/tiangolo/fastapi/pull/1534) by [@retnikt](https://github.com/retnikt).
|
||||
* When using Pydantic models with `__root__`, use the internal value in `jsonable_encoder`. PR [#1524](https://github.com/tiangolo/fastapi/pull/1524) by [@patrickkwang](https://github.com/patrickkwang).
|
||||
* Update docs for path parameters. PR [#1521](https://github.com/tiangolo/fastapi/pull/1521) by [@yankeexe](https://github.com/yankeexe).
|
||||
* Update docs for first steps, links and rewording. PR [#1518](https://github.com/tiangolo/fastapi/pull/1518) by [@yankeexe](https://github.com/yankeexe).
|
||||
* Enable `showCommonExtensions` in Swagger UI to show additional validations like `maxLength`, etc. PR [#1466](https://github.com/tiangolo/fastapi/pull/1466) by [@TiewKH](https://github.com/TiewKH).
|
||||
* Make `OAuth2PasswordRequestFormStrict` importable directly from `fastapi.security`. PR [#1462](https://github.com/tiangolo/fastapi/pull/1462) by [@RichardHoekstra](https://github.com/RichardHoekstra).
|
||||
* Add docs about [Default response class](https://fastapi.tiangolo.com/advanced/custom-response/#default-response-class). PR [#1455](https://github.com/tiangolo/fastapi/pull/1455) by [@TezRomacH](https://github.com/TezRomacH).
|
||||
* Add note in docs about additional parameters `response_model_exclude_defaults` and `response_model_exclude_none` in [Response Model](https://fastapi.tiangolo.com/tutorial/response-model/#use-the-response_model_exclude_unset-parameter). PR [#1427](https://github.com/tiangolo/fastapi/pull/1427) by [@wshayes](https://github.com/wshayes).
|
||||
* Add note about [PyCharm Pydantic plugin](https://github.com/koxudaxi/pydantic-pycharm-plugin) to docs. PR [#1420](https://github.com/tiangolo/fastapi/pull/1420) by [@koxudaxi](https://github.com/koxudaxi).
|
||||
* Update and clarify testing function name. PR [#1395](https://github.com/tiangolo/fastapi/pull/1395) by [@chenl](https://github.com/chenl).
|
||||
* Fix duplicated headers created by indirect dependencies that use the request directly. PR [#1386](https://github.com/tiangolo/fastapi/pull/1386) by [@obataku](https://github.com/obataku) from tests by [@scottsmith2gmail](https://github.com/scottsmith2gmail).
|
||||
* Upgrade Starlette version to `0.13.4`. PR [#1361](https://github.com/tiangolo/fastapi/pull/1361) by [@rushton](https://github.com/rushton).
|
||||
* Improve error handling and feedback for requests with invalid JSON. PR [#1354](https://github.com/tiangolo/fastapi/pull/1354) by [@aviramha](https://github.com/aviramha).
|
||||
* Add support for declaring metadata for tags in OpenAPI. New docs at [Tutorial - Metadata and Docs URLs - Metadata for tags](https://fastapi.tiangolo.com/tutorial/metadata/#metadata-for-tags). PR [#1348](https://github.com/tiangolo/fastapi/pull/1348) by [@thomas-maschler](https://github.com/thomas-maschler).
|
||||
* Add basic setup for Russian translations. PR [#1566](https://github.com/tiangolo/fastapi/pull/1566).
|
||||
* Remove obsolete Chinese articles after adding official community translations. PR [#1510](https://github.com/tiangolo/fastapi/pull/1510) by [@waynerv](https://github.com/waynerv).
|
||||
* Add `__repr__` for *path operation function* parameter helpers (like `Query`, `Depends`, etc) to simplify debugging. PR [#1560](https://github.com/tiangolo/fastapi/pull/1560) by [@rkbeatss](https://github.com/rkbeatss) and [@victorphoenix3](https://github.com/victorphoenix3).
|
||||
|
||||
## 0.56.1
|
||||
|
||||
* Add link to advanced docs from tutorial. PR [#1512](https://github.com/tiangolo/fastapi/pull/1512) by [@kx-chen](https://github.com/kx-chen).
|
||||
* Remove internal unnecessary f-strings. PR [#1526](https://github.com/tiangolo/fastapi/pull/1526) by [@kotamatsuoka](https://github.com/kotamatsuoka).
|
||||
* Add translation to Chinese for [Query Parameters and String Validations - 查询参数和字符串校验](https://fastapi.tiangolo.com/zh/tutorial/query-params-str-validations/). PR [#1500](https://github.com/tiangolo/fastapi/pull/1500) by [@waynerv](https://github.com/waynerv).
|
||||
* Add translation to Chinese for [Request Body - 请求体](https://fastapi.tiangolo.com/zh/tutorial/body/). PR [#1492](https://github.com/tiangolo/fastapi/pull/1492) by [@waynerv](https://github.com/waynerv).
|
||||
* Add translation to Chinese for [Help FastAPI - Get Help - 帮助 FastAPI - 获取帮助](https://fastapi.tiangolo.com/zh/help-fastapi/). PR [#1465](https://github.com/tiangolo/fastapi/pull/1465) by [@waynerv](https://github.com/waynerv).
|
||||
* Add translation to Chinese for [Query Parameters - 查询参数](https://fastapi.tiangolo.com/zh/tutorial/query-params/). PR [#1454](https://github.com/tiangolo/fastapi/pull/1454) by [@waynerv](https://github.com/waynerv).
|
||||
* Add translation to Chinese for [Contributing - 开发 - 贡献](https://fastapi.tiangolo.com/zh/contributing/). PR [#1460](https://github.com/tiangolo/fastapi/pull/1460) by [@waynerv](https://github.com/waynerv).
|
||||
* Add translation to Chinese for [Path Parameters - 路径参数](https://fastapi.tiangolo.com/zh/tutorial/path-params/). PR [#1453](https://github.com/tiangolo/fastapi/pull/1453) by [@waynerv](https://github.com/waynerv).
|
||||
* Add official Microsoft project generator for [serving spaCy with FastAPI and Azure Cognitive Skills](https://github.com/microsoft/cookiecutter-spacy-fastapi) to [Project Generators](https://fastapi.tiangolo.com/project-generation/). PR [#1390](https://github.com/tiangolo/fastapi/pull/1390) by [@kabirkhan](https://github.com/kabirkhan).
|
||||
* Update docs in [Python Types Intro](https://fastapi.tiangolo.com/python-types/) to include info about `Optional`. Original PR [#1377](https://github.com/tiangolo/fastapi/pull/1377) by [@yaegassy](https://github.com/yaegassy).
|
||||
* Fix support for callable class dependencies with `yield`. PR [#1365](https://github.com/tiangolo/fastapi/pull/1365) by [@mrosales](https://github.com/mrosales).
|
||||
* Fix/remove incorrect error logging when a client sends invalid payloads. PR [#1351](https://github.com/tiangolo/fastapi/pull/1351) by [@dbanty](https://github.com/dbanty).
|
||||
* Add translation to Chinese for [First Steps - 第一步](https://fastapi.tiangolo.com/zh/tutorial/first-steps/). PR [#1323](https://github.com/tiangolo/fastapi/pull/1323) by [@waynerv](https://github.com/waynerv).
|
||||
* Fix generating OpenAPI for apps using callbacks with routers including Pydantic models. PR [#1322](https://github.com/tiangolo/fastapi/pull/1322) by [@nsidnev](https://github.com/nsidnev).
|
||||
* Optimize internal regex performance in `get_path_param_names()`. PR [#1243](https://github.com/tiangolo/fastapi/pull/1243) by [@heckad](https://github.com/heckad).
|
||||
* Remove `*,` from functions in docs where it's not needed. PR [#1239](https://github.com/tiangolo/fastapi/pull/1239) by [@pankaj-giri](https://github.com/pankaj-giri).
|
||||
* Start translations for Italian. PR [#1557](https://github.com/tiangolo/fastapi/pull/1557) by [@csr](https://github.com/csr).
|
||||
|
||||
## 0.56.0
|
||||
|
||||
* Add support for ASGI `root_path`:
|
||||
* Use `root_path` internally for mounted applications, so that OpenAPI and the docs UI works automatically without extra configurations and parameters.
|
||||
* Add new `root_path` parameter for `FastAPI` applications to provide it in cases where it can be set with the command line (e.g. for Uvicorn and Hypercorn, with the parameter `--root-path`).
|
||||
* Deprecate `openapi_prefix` parameter in favor of the new `root_path` parameter.
|
||||
* Add new/updated docs for [Sub Applications - Mounts](https://fastapi.tiangolo.com/advanced/sub-applications/), without `openapi_prefix` (as it is now handled automatically).
|
||||
* Add new/updated docs for [Behind a Proxy](https://fastapi.tiangolo.com/advanced/behind-a-proxy/), including how to setup a local testing proxy with Traefik and using `root_path`.
|
||||
* Update docs for [Extending OpenAPI](https://fastapi.tiangolo.com/advanced/extending-openapi/) with the new `openapi_prefix` parameter passed (internally generated from `root_path`).
|
||||
* Original PR [#1199](https://github.com/tiangolo/fastapi/pull/1199) by [@iksteen](https://github.com/iksteen).
|
||||
* Update new issue templates and docs: [Help FastAPI - Get Help](https://fastapi.tiangolo.com/help-fastapi/). PR [#1531](https://github.com/tiangolo/fastapi/pull/1531).
|
||||
* Update GitHub action issue-manager. PR [#1520](https://github.com/tiangolo/fastapi/pull/1520).
|
||||
* Add new links:
|
||||
* **English articles**:
|
||||
* [Real-time Notifications with Python and Postgres](https://wuilly.com/2019/10/real-time-notifications-with-python-and-postgres/) by [Guillermo Cruz](https://wuilly.com/).
|
||||
* [Microservice in Python using FastAPI](https://dev.to/paurakhsharma/microservice-in-python-using-fastapi-24cc) by [Paurakh Sharma Humagain](https://twitter.com/PaurakhSharma).
|
||||
* [Build simple API service with Python FastAPI — Part 1](https://dev.to/cuongld2/build-simple-api-service-with-python-fastapi-part-1-581o) by [cuongld2](https://dev.to/cuongld2).
|
||||
* [FastAPI + Zeit.co = 🚀](https://paulsec.github.io/posts/fastapi_plus_zeit_serverless_fu/) by [Paul Sec](https://twitter.com/PaulWebSec).
|
||||
* [Build a web API from scratch with FastAPI - the workshop](https://dev.to/tiangolo/build-a-web-api-from-scratch-with-fastapi-the-workshop-2ehe) by [Sebastián Ramírez (tiangolo)](https://twitter.com/tiangolo).
|
||||
* [Build a Secure Twilio Webhook with Python and FastAPI](https://www.twilio.com/blog/build-secure-twilio-webhook-python-fastapi) by [Twilio](https://www.twilio.com).
|
||||
* [Using FastAPI with Django](https://www.stavros.io/posts/fastapi-with-django/) by [Stavros Korokithakis](https://twitter.com/Stavros).
|
||||
* [Introducing Dispatch](https://netflixtechblog.com/introducing-dispatch-da4b8a2a8072) by [Netflix](https://netflixtechblog.com/).
|
||||
* **Podcasts**:
|
||||
* [Build The Next Generation Of Python Web Applications With FastAPI - Episode 259 - interview to Sebastían Ramírez (tiangolo)](https://www.pythonpodcast.com/fastapi-web-application-framework-episode-259/) by [Podcast.`__init__`](https://www.pythonpodcast.com/).
|
||||
* **Talks**:
|
||||
* [PyConBY 2020: Serve ML models easily with FastAPI](https://www.youtube.com/watch?v=z9K5pwb0rt8) by [Sebastián Ramírez (tiangolo)](https://twitter.com/tiangolo).
|
||||
* [[VIRTUAL] Py.Amsterdam's flying Software Circus: Intro to FastAPI](https://www.youtube.com/watch?v=PnpTY1f4k2U) by [Sebastián Ramírez (tiangolo)](https://twitter.com/tiangolo).
|
||||
* PR [#1467](https://github.com/tiangolo/fastapi/pull/1467).
|
||||
* Add translation to Chinese for [Python Types Intro - Python 类型提示简介](https://fastapi.tiangolo.com/zh/python-types/). PR [#1197](https://github.com/tiangolo/fastapi/pull/1197) by [@waynerv](https://github.com/waynerv).
|
||||
|
||||
## 0.55.1
|
||||
|
||||
* Fix handling of enums with their own schema in path parameters. To support [samuelcolvin/pydantic#1432](https://github.com/samuelcolvin/pydantic/pull/1432) in FastAPI. PR [#1463](https://github.com/tiangolo/fastapi/pull/1463).
|
||||
|
||||
## 0.55.0
|
||||
|
||||
* Allow enums to allow them to have their own schemas in OpenAPI. To support [samuelcolvin/pydantic#1432](https://github.com/samuelcolvin/pydantic/pull/1432) in FastAPI. PR [#1461](https://github.com/tiangolo/fastapi/pull/1461).
|
||||
* Add links for funding through [GitHub sponsors](https://github.com/sponsors/tiangolo). PR [#1425](https://github.com/tiangolo/fastapi/pull/1425).
|
||||
* Update issue template for for questions. PR [#1344](https://github.com/tiangolo/fastapi/pull/1344) by [@retnikt](https://github.com/retnikt).
|
||||
* Update warning about storing passwords in docs. PR [#1336](https://github.com/tiangolo/fastapi/pull/1336) by [@skorokithakis](https://github.com/skorokithakis).
|
||||
* Fix typo. PR [#1326](https://github.com/tiangolo/fastapi/pull/1326) by [@chenl](https://github.com/chenl).
|
||||
* Add translation to Portuguese for [Alternatives, Inspiration and Comparisons - Alternativas, Inspiração e Comparações](https://fastapi.tiangolo.com/pt/alternatives/). PR [#1325](https://github.com/tiangolo/fastapi/pull/1325) by [@Serrones](https://github.com/Serrones).
|
||||
* Fix 2 typos in docs. PR [#1324](https://github.com/tiangolo/fastapi/pull/1324) by [@waynerv](https://github.com/waynerv).
|
||||
* Update CORS docs, fix correct default of `max_age=600`. PR [#1301](https://github.com/tiangolo/fastapi/pull/1301) by [@derekbekoe](https://github.com/derekbekoe).
|
||||
* Add translation of [main page to Portuguese](https://fastapi.tiangolo.com/pt/). PR [#1300](https://github.com/tiangolo/fastapi/pull/1300) by [@Serrones](https://github.com/Serrones).
|
||||
* Re-word and clarify docs for extra info in fields. PR [#1299](https://github.com/tiangolo/fastapi/pull/1299) by [@chris-allnutt](https://github.com/chris-allnutt).
|
||||
* Make sure the `*` in short features in the docs is consistent (after `.`) in all languages. PR [#1424](https://github.com/tiangolo/fastapi/pull/1424).
|
||||
* Update order of execution for `get_db` in SQLAlchemy tutorial. PR [#1293](https://github.com/tiangolo/fastapi/pull/1293) by [@bcb](https://github.com/bcb).
|
||||
* Fix typos in Async docs. PR [#1423](https://github.com/tiangolo/fastapi/pull/1423).
|
||||
|
||||
## 0.54.2
|
||||
|
||||
* Add translation to Spanish for [Concurrency and async / await - Concurrencia y async / await](https://fastapi.tiangolo.com/es/async/). PR [#1290](https://github.com/tiangolo/fastapi/pull/1290) by [@alvaropernas](https://github.com/alvaropernas).
|
||||
* Remove obsolete vote link. PR [#1289](https://github.com/tiangolo/fastapi/pull/1289) by [@donhui](https://github.com/donhui).
|
||||
* Allow disabling docs UIs by just disabling OpenAPI with `openapi_url=None`. New example in docs: [Advanced: Conditional OpenAPI](https://fastapi.tiangolo.com/advanced/conditional-openapi/). PR [#1421](https://github.com/tiangolo/fastapi/pull/1421).
|
||||
* Add translation to Portuguese for [Benchmarks - Comparações](https://fastapi.tiangolo.com/pt/benchmarks/). PR [#1274](https://github.com/tiangolo/fastapi/pull/1274) by [@Serrones](https://github.com/Serrones).
|
||||
* Add translation to Portuguese for [Tutorial - User Guide - Intro - Tutorial - Guia de Usuário - Introdução](https://fastapi.tiangolo.com/pt/tutorial/). PR [#1259](https://github.com/tiangolo/fastapi/pull/1259) by [@marcosmmb](https://github.com/marcosmmb).
|
||||
* Allow using Unicode in MkDocs for translations. PR [#1419](https://github.com/tiangolo/fastapi/pull/1419).
|
||||
* Add translation to Spanish for [Advanced User Guide - Intro - Guía de Usuario Avanzada - Introducción](https://fastapi.tiangolo.com/es/advanced/). PR [#1250](https://github.com/tiangolo/fastapi/pull/1250) by [@jfunez](https://github.com/jfunez).
|
||||
* Add translation to Portuguese for [History, Design and Future - História, Design e Futuro](https://fastapi.tiangolo.com/pt/history-design-future/). PR [#1249](https://github.com/tiangolo/fastapi/pull/1249) by [@marcosmmb](https://github.com/marcosmmb).
|
||||
* Add translation to Portuguese for [Features - Recursos](https://fastapi.tiangolo.com/pt/features/). PR [#1248](https://github.com/tiangolo/fastapi/pull/1248) by [@marcosmmb](https://github.com/marcosmmb).
|
||||
* Add translation to Spanish for [Tutorial - User Guide - Intro - Tutorial - Guía de Usuario - Introducción](https://fastapi.tiangolo.com/es/tutorial/). PR [#1244](https://github.com/tiangolo/fastapi/pull/1244) by [@MartinEliasQ](https://github.com/MartinEliasQ).
|
||||
* Add translation to Chinese for [Deployment - 部署](https://fastapi.tiangolo.com/zh/deployment/). PR [#1203](https://github.com/tiangolo/fastapi/pull/1203) by [@RunningIkkyu](https://github.com/RunningIkkyu).
|
||||
* Add translation to Chinese for [Tutorial - User Guide - Intro - 教程 - 用户指南 - 简介](https://fastapi.tiangolo.com/zh/tutorial/). PR [#1202](https://github.com/tiangolo/fastapi/pull/1202) by [@waynerv](https://github.com/waynerv).
|
||||
* Add translation to Chinese for [Features - 特性](https://fastapi.tiangolo.com/zh/features/). PR [#1192](https://github.com/tiangolo/fastapi/pull/1192) by [@Dustyposa](https://github.com/Dustyposa).
|
||||
* Add translation for [main page to Chinese](https://fastapi.tiangolo.com/zh/) PR [#1191](https://github.com/tiangolo/fastapi/pull/1191) by [@waynerv](https://github.com/waynerv).
|
||||
* Update docs for project generation. PR [#1287](https://github.com/tiangolo/fastapi/pull/1287).
|
||||
* Add Spanish translation for [Introducción a los Tipos de Python (Python Types Intro)](https://fastapi.tiangolo.com/es/python-types/). PR [#1237](https://github.com/tiangolo/fastapi/pull/1237) by [@mariacamilagl](https://github.com/mariacamilagl).
|
||||
* Add Spanish translation for [Características (Features)](https://fastapi.tiangolo.com/es/features/). PR [#1220](https://github.com/tiangolo/fastapi/pull/1220) by [@mariacamilagl](https://github.com/mariacamilagl).
|
||||
|
||||
## 0.54.1
|
||||
|
||||
* Update database test setup. PR [#1226](https://github.com/tiangolo/fastapi/pull/1226).
|
||||
* Improve test debugging by showing response text in failing tests. PR [#1222](https://github.com/tiangolo/fastapi/pull/1222) by [@samuelcolvin](https://github.com/samuelcolvin).
|
||||
|
||||
## 0.54.0
|
||||
|
||||
* Fix grammatical mistakes in async docs. PR [#1188](https://github.com/tiangolo/fastapi/pull/1188) by [@mickeypash](https://github.com/mickeypash).
|
||||
* Add support for `response_model_exclude_defaults` and `response_model_exclude_none`:
|
||||
* Deprecate the parameter `include_none` in `jsonable_encoder` and add the inverted `exclude_none`, to keep in sync with Pydantic.
|
||||
* PR [#1166](https://github.com/tiangolo/fastapi/pull/1166) by [@voegtlel](https://github.com/voegtlel).
|
||||
* Add example about [Testing a Database](https://fastapi.tiangolo.com/advanced/testing-database/). Initial PR [#1144](https://github.com/tiangolo/fastapi/pull/1144) by [@duganchen](https://github.com/duganchen).
|
||||
* Update docs for [Development - Contributing: Translations](https://fastapi.tiangolo.com/contributing/#translations) including note about reviewing translation PRs. [#1215](https://github.com/tiangolo/fastapi/pull/1215).
|
||||
* Update log style in README.md for GitHub Markdown compatibility. PR [#1200](https://github.com/tiangolo/fastapi/pull/1200) by [#geekgao](https://github.com/geekgao).
|
||||
* Add Python venv `env` to `.gitignore`. PR [#1212](https://github.com/tiangolo/fastapi/pull/1212) by [@cassiobotaro](https://github.com/cassiobotaro).
|
||||
* Start Portuguese translations. PR [#1210](https://github.com/tiangolo/fastapi/pull/1210) by [@cassiobotaro](https://github.com/cassiobotaro).
|
||||
* Update docs for Pydantic's `Settings` using a dependency with `@lru_cache()`. PR [#1214](https://github.com/tiangolo/fastapi/pull/1214).
|
||||
* Add first translation to Spanish [FastAPI](https://fastapi.tiangolo.com/es/). PR [#1201](https://github.com/tiangolo/fastapi/pull/1201) by [@mariacamilagl](https://github.com/mariacamilagl).
|
||||
* Add docs about [Settings and Environment Variables](https://fastapi.tiangolo.com/advanced/settings/). Initial PR [1118](https://github.com/tiangolo/fastapi/pull/1118) by [@alexmitelman](https://github.com/alexmitelman).
|
||||
|
||||
## 0.53.2
|
||||
|
||||
* Fix automatic embedding of body fields for dependencies and sub-dependencies. Original PR [#1079](https://github.com/tiangolo/fastapi/pull/1079) by [@Toad2186](https://github.com/Toad2186).
|
||||
* Fix dependency overrides in WebSocket testing. PR [#1122](https://github.com/tiangolo/fastapi/pull/1122) by [@amitlissack](https://github.com/amitlissack).
|
||||
* Fix docs script to ensure languages are always sorted. PR [#1189](https://github.com/tiangolo/fastapi/pull/1189).
|
||||
* Start translations for Chinese. PR [#1187](https://github.com/tiangolo/fastapi/pull/1187) by [@RunningIkkyu](https://github.com/RunningIkkyu).
|
||||
* Add docs for [Schema Extra - Example](https://fastapi.tiangolo.com/tutorial/schema-extra-example/). PR [#1185](https://github.com/tiangolo/fastapi/pull/1185).
|
||||
|
||||
## 0.53.1
|
||||
|
||||
* Fix included example after translations refactor. PR [#1182](https://github.com/tiangolo/fastapi/pull/1182).
|
||||
|
||||
@@ -1,53 +0,0 @@
|
||||
# Application Configuration
|
||||
|
||||
There are several things that you can configure in your FastAPI application.
|
||||
|
||||
## Title, description, and version
|
||||
|
||||
You can set the:
|
||||
|
||||
* Title: used as your API's title/name, in OpenAPI and the automatic API docs UIs.
|
||||
* Description: the description of your API, in OpenAPI and the automatic API docs UIs.
|
||||
* Version: the version of your API, e.g. `v2` or `2.5.0`.
|
||||
* Useful for example if you had a previous version of the application, also using OpenAPI.
|
||||
|
||||
To set them, use the parameters `title`, `description`, and `version`:
|
||||
|
||||
```Python hl_lines="4 5 6"
|
||||
{!../../../docs_src/application_configuration/tutorial001.py!}
|
||||
```
|
||||
|
||||
With this configuration, the automatic API docs would look like:
|
||||
|
||||
<img src="/img/tutorial/application-configuration/image01.png">
|
||||
|
||||
## OpenAPI URL
|
||||
|
||||
By default, the OpenAPI schema is served at `/openapi.json`.
|
||||
|
||||
But you can configure it with the parameter `openapi_url`.
|
||||
|
||||
For example, to set it to be served at `/api/v1/openapi.json`:
|
||||
|
||||
```Python hl_lines="3"
|
||||
{!../../../docs_src/application_configuration/tutorial002.py!}
|
||||
```
|
||||
|
||||
If you want to disable the OpenAPI schema completely you can set `openapi_url=None`.
|
||||
|
||||
## Docs URLs
|
||||
|
||||
You can configure the two documentation user interfaces included:
|
||||
|
||||
* **Swagger UI**: served at `/docs`.
|
||||
* You can set its URL with the parameter `docs_url`.
|
||||
* You can disable it by setting `docs_url=None`.
|
||||
* ReDoc: served at `/redoc`.
|
||||
* You can set its URL with the parameter `redoc_url`.
|
||||
* You can disable it by setting `redoc_url=None`.
|
||||
|
||||
For example, to set Swagger UI to be served at `/documentation` and disable ReDoc:
|
||||
|
||||
```Python hl_lines="3"
|
||||
{!../../../docs_src/application_configuration/tutorial003.py!}
|
||||
```
|
||||
@@ -2,7 +2,7 @@
|
||||
|
||||
You can define background tasks to be run *after* returning a response.
|
||||
|
||||
This is useful for operations that need to happen after a request, but that the client doesn't really have to be waiting for the operation to complete before receiving his response.
|
||||
This is useful for operations that need to happen after a request, but that the client doesn't really have to be waiting for the operation to complete before receiving the response.
|
||||
|
||||
This includes, for example:
|
||||
|
||||
@@ -57,7 +57,7 @@ Using `BackgroundTasks` also works with the dependency injection system, you can
|
||||
|
||||
**FastAPI** knows what to do in each case and how to re-use the same object, so that all the background tasks are merged together and are run in the background afterwards:
|
||||
|
||||
```Python hl_lines="11 14 20 23"
|
||||
```Python hl_lines="13 15 22 25"
|
||||
{!../../../docs_src/background_tasks/tutorial002.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -6,7 +6,7 @@ The same way you can declare additional validation and metadata in *path operati
|
||||
|
||||
First, you have to import it:
|
||||
|
||||
```Python hl_lines="2"
|
||||
```Python hl_lines="4"
|
||||
{!../../../docs_src/body_fields/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -17,7 +17,7 @@ First, you have to import it:
|
||||
|
||||
You can then use `Field` with model attributes:
|
||||
|
||||
```Python hl_lines="9 10"
|
||||
```Python hl_lines="11 12 13 14"
|
||||
{!../../../docs_src/body_fields/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -35,37 +35,11 @@ You can then use `Field` with model attributes:
|
||||
!!! tip
|
||||
Notice how each model's attribute with a type, default value and `Field` has the same structure as a *path operation function's* parameter, with `Field` instead of `Path`, `Query` and `Body`.
|
||||
|
||||
## JSON Schema extras
|
||||
## Add extra information
|
||||
|
||||
In `Field`, `Path`, `Query`, `Body` and others you'll see later, you can declare extra parameters apart from those described before.
|
||||
You can declare extra information in `Field`, `Query`, `Body`, etc. And it will be included in the generated JSON Schema.
|
||||
|
||||
Those parameters will be added as-is to the output JSON Schema.
|
||||
|
||||
If you know JSON Schema and want to add extra information apart from what we have discussed here, you can pass that as extra keyword arguments.
|
||||
|
||||
!!! warning
|
||||
Have in mind that extra parameters passed won't add any validation, only annotation, for documentation purposes.
|
||||
|
||||
For example, you can use that functionality to pass an <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.3.md#fixed-fields-20" class="external-link" target="_blank">example</a> for a body request:
|
||||
|
||||
```Python hl_lines="20 21 22 23 24 25"
|
||||
{!../../../docs_src/body_fields/tutorial002.py!}
|
||||
```
|
||||
|
||||
Alternately, you can provide these extras on a per-field basis by using additional keyword arguments to `Field`:
|
||||
|
||||
```Python hl_lines="2 8 9 10 11"
|
||||
{!../../../docs_src/body_fields/tutorial003.py!}
|
||||
```
|
||||
|
||||
Either way, in the `/docs` it would look like this:
|
||||
|
||||
<img src="/img/tutorial/body-fields/image01.png">
|
||||
|
||||
!!! note "Technical Details"
|
||||
JSON Schema defines a field <a href="https://json-schema.org/draft/2019-09/json-schema-validation.html#rfc.section.9.5" class="external-link" target="_blank">`examples`</a> in the most recent versions, but OpenAPI is based on an older version of JSON Schema that didn't have `examples`.
|
||||
|
||||
So, OpenAPI defines its own <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.3.md#fixed-fields-20" class="external-link" target="_blank">`example`</a> for the same purpose (as `example`, not `examples`), and that's what is used by the docs UI (using Swagger UI).
|
||||
You will learn more about adding extra information later in the docs, when learning to declare examples.
|
||||
|
||||
## Recap
|
||||
|
||||
|
||||
@@ -8,7 +8,7 @@ First, of course, you can mix `Path`, `Query` and request body parameter declara
|
||||
|
||||
And you can also declare body parameters as optional, by setting the default to `None`:
|
||||
|
||||
```Python hl_lines="17 18 19"
|
||||
```Python hl_lines="19 20 21"
|
||||
{!../../../docs_src/body_multiple_params/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -30,7 +30,7 @@ In the previous example, the *path operations* would expect a JSON body with the
|
||||
|
||||
But you can also declare multiple body parameters, e.g. `item` and `user`:
|
||||
|
||||
```Python hl_lines="20"
|
||||
```Python hl_lines="22"
|
||||
{!../../../docs_src/body_multiple_params/tutorial002.py!}
|
||||
```
|
||||
|
||||
@@ -72,7 +72,7 @@ If you declare it as is, because it is a singular value, **FastAPI** will assume
|
||||
But you can instruct **FastAPI** to treat it as another body key using `Body`:
|
||||
|
||||
|
||||
```Python hl_lines="21"
|
||||
```Python hl_lines="23"
|
||||
{!../../../docs_src/body_multiple_params/tutorial003.py!}
|
||||
```
|
||||
|
||||
@@ -104,12 +104,12 @@ Of course, you can also declare additional query parameters whenever you need, a
|
||||
As, by default, singular values are interpreted as query parameters, you don't have to explicitly add a `Query`, you can just do:
|
||||
|
||||
```Python
|
||||
q: str = None
|
||||
q: Optional[str] = None
|
||||
```
|
||||
|
||||
as in:
|
||||
|
||||
```Python hl_lines="25"
|
||||
```Python hl_lines="27"
|
||||
{!../../../docs_src/body_multiple_params/tutorial004.py!}
|
||||
```
|
||||
|
||||
@@ -131,7 +131,7 @@ item: Item = Body(..., embed=True)
|
||||
|
||||
as in:
|
||||
|
||||
```Python hl_lines="15"
|
||||
```Python hl_lines="17"
|
||||
{!../../../docs_src/body_multiple_params/tutorial005.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -6,15 +6,15 @@ With **FastAPI**, you can define, validate, document, and use arbitrarily deeply
|
||||
|
||||
You can define an attribute to be a subtype. For example, a Python `list`:
|
||||
|
||||
```Python hl_lines="12"
|
||||
```Python hl_lines="14"
|
||||
{!../../../docs_src/body_nested_models/tutorial001.py!}
|
||||
```
|
||||
|
||||
This will make `tags` be a list of items. Although it doesn't declare the type of each of the items.
|
||||
|
||||
## List fields with subtype
|
||||
## List fields with type parameter
|
||||
|
||||
But Python has a specific way to declare lists with subtypes:
|
||||
But Python has a specific way to declare lists with internal types, or "type parameters":
|
||||
|
||||
### Import typing's `List`
|
||||
|
||||
@@ -24,12 +24,12 @@ First, import `List` from standard Python's `typing` module:
|
||||
{!../../../docs_src/body_nested_models/tutorial002.py!}
|
||||
```
|
||||
|
||||
### Declare a `List` with a subtype
|
||||
### Declare a `List` with a type parameter
|
||||
|
||||
To declare types that have subtypes, like `list`, `dict`, `tuple`:
|
||||
To declare types that have type parameters (internal types), like `list`, `dict`, `tuple`:
|
||||
|
||||
* Import them from the `typing` module
|
||||
* Pass the subtype(s) as "type arguments" using square brackets: `[` and `]`
|
||||
* Pass the internal type(s) as "type parameters" using square brackets: `[` and `]`
|
||||
|
||||
```Python
|
||||
from typing import List
|
||||
@@ -39,7 +39,7 @@ my_list: List[str]
|
||||
|
||||
That's all standard Python syntax for type declarations.
|
||||
|
||||
Use that same standard syntax for model attributes with subtypes.
|
||||
Use that same standard syntax for model attributes with internal types.
|
||||
|
||||
So, in our example, we can make `tags` be specifically a "list of strings":
|
||||
|
||||
@@ -71,7 +71,7 @@ Each attribute of a Pydantic model has a type.
|
||||
|
||||
But that type can itself be another Pydantic model.
|
||||
|
||||
So, you can declare deeply nested JSON `object`s with specific attribute names, types and validations.
|
||||
So, you can declare deeply nested JSON "objects" with specific attribute names, types and validations.
|
||||
|
||||
All that, arbitrarily nested.
|
||||
|
||||
@@ -174,7 +174,7 @@ You can define arbitrarily deeply nested models:
|
||||
```
|
||||
|
||||
!!! info
|
||||
Notice how `Offer` as a list of `Item`s, which in turn have an optional list of `Image`s
|
||||
Notice how `Offer` has a list of `Item`s, which in turn have an optional list of `Image`s
|
||||
|
||||
## Bodies of pure lists
|
||||
|
||||
|
||||
@@ -9,15 +9,17 @@ Your API almost always has to send a **response** body. But clients don't necess
|
||||
To declare a **request** body, you use <a href="https://pydantic-docs.helpmanual.io/" class="external-link" target="_blank">Pydantic</a> models with all their power and benefits.
|
||||
|
||||
!!! info
|
||||
You cannot send a request body using a `GET` operation (HTTP method).
|
||||
To send data, you should use one of: `POST` (the more common), `PUT`, `DELETE` or `PATCH`.
|
||||
|
||||
To send data, you have to use one of: `POST` (the more common), `PUT`, `DELETE` or `PATCH`.
|
||||
Sending a body with a `GET` request has an undefined behavior in the specifications, nevertheless, it is supported by FastAPI, only for very complex/extreme use cases.
|
||||
|
||||
As it is discouraged, the interactive docs with Swagger UI won't show the documentation for the body when using `GET`, and proxies in the middle might not support it.
|
||||
|
||||
## Import Pydantic's `BaseModel`
|
||||
|
||||
First, you need to import `BaseModel` from `pydantic`:
|
||||
|
||||
```Python hl_lines="2"
|
||||
```Python hl_lines="4"
|
||||
{!../../../docs_src/body/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -27,7 +29,7 @@ Then you declare your data model as a class that inherits from `BaseModel`.
|
||||
|
||||
Use standard Python types for all the attributes:
|
||||
|
||||
```Python hl_lines="5 6 7 8 9"
|
||||
```Python hl_lines="7 8 9 10 11"
|
||||
{!../../../docs_src/body/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -57,7 +59,7 @@ For example, this model above declares a JSON "`object`" (or Python `dict`) like
|
||||
|
||||
To add it to your *path operation*, declare it the same way you declared path and query parameters:
|
||||
|
||||
```Python hl_lines="16"
|
||||
```Python hl_lines="18"
|
||||
{!../../../docs_src/body/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -108,11 +110,22 @@ But you would get the same editor support with <a href="https://www.jetbrains.co
|
||||
|
||||
<img src="/img/tutorial/body/image05.png">
|
||||
|
||||
!!! tip
|
||||
If you use <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> as your editor, you can use the <a href="https://github.com/koxudaxi/pydantic-pycharm-plugin/" class="external-link" target="_blank">Pydantic PyCharm Plugin</a>.
|
||||
|
||||
It improves editor support for Pydantic models, with:
|
||||
|
||||
* auto-completion
|
||||
* type checks
|
||||
* refactoring
|
||||
* searching
|
||||
* inspections
|
||||
|
||||
## Use the model
|
||||
|
||||
Inside of the function, you can access all the attributes of the model object directly:
|
||||
|
||||
```Python hl_lines="19"
|
||||
```Python hl_lines="21"
|
||||
{!../../../docs_src/body/tutorial002.py!}
|
||||
```
|
||||
|
||||
@@ -122,7 +135,7 @@ You can declare path parameters and body requests at the same time.
|
||||
|
||||
**FastAPI** will recognize that the function parameters that match path parameters should be **taken from the path**, and that function parameters that are declared to be Pydantic models should be **taken from the request body**.
|
||||
|
||||
```Python hl_lines="15 16"
|
||||
```Python hl_lines="17 18"
|
||||
{!../../../docs_src/body/tutorial003.py!}
|
||||
```
|
||||
|
||||
@@ -132,7 +145,7 @@ You can also declare **body**, **path** and **query** parameters, all at the sam
|
||||
|
||||
**FastAPI** will recognize each of them and take the data from the correct place.
|
||||
|
||||
```Python hl_lines="16"
|
||||
```Python hl_lines="18"
|
||||
{!../../../docs_src/body/tutorial004.py!}
|
||||
```
|
||||
|
||||
@@ -142,6 +155,11 @@ The function parameters will be recognized as follows:
|
||||
* If the parameter is of a **singular type** (like `int`, `float`, `str`, `bool`, etc) it will be interpreted as a **query** parameter.
|
||||
* If the parameter is declared to be of the type of a **Pydantic model**, it will be interpreted as a request **body**.
|
||||
|
||||
!!! note
|
||||
FastAPI will know that the value of `q` is not required because of the default value `= None`.
|
||||
|
||||
The `Optional` in `Optional[str]` is not used by FastAPI, but will allow your editor to give you better support and detect errors.
|
||||
|
||||
## Without Pydantic
|
||||
|
||||
If you don't want to use Pydantic models, you can also use **Body** parameters. See the docs for [Body - Multiple Parameters: Singular values in body](body-multiple-params.md#singular-values-in-body){.internal-link target=_blank}.
|
||||
|
||||
@@ -6,7 +6,7 @@ You can define Cookie parameters the same way you define `Query` and `Path` para
|
||||
|
||||
First import `Cookie`:
|
||||
|
||||
```Python hl_lines="1"
|
||||
```Python hl_lines="3"
|
||||
{!../../../docs_src/cookie_params/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -16,7 +16,7 @@ Then declare the cookie parameters using the same structure as with `Path` and `
|
||||
|
||||
The first value is the default value, you can pass all the extra validation or annotation parameters:
|
||||
|
||||
```Python hl_lines="7"
|
||||
```Python hl_lines="9"
|
||||
{!../../../docs_src/cookie_params/tutorial001.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -60,7 +60,7 @@ The following arguments are supported:
|
||||
* `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_credentials` - Indicate that cookies should be supported for cross-origin requests. Defaults to `False`.
|
||||
* `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 `60`.
|
||||
* `max_age` - Sets a maximum time in seconds for browsers to cache CORS responses. Defaults to `600`.
|
||||
|
||||
The middleware responds to two particular types of HTTP request...
|
||||
|
||||
|
||||
@@ -6,7 +6,7 @@ Before diving deeper into the **Dependency Injection** system, let's upgrade the
|
||||
|
||||
In the previous example, we were returning a `dict` from our dependency ("dependable"):
|
||||
|
||||
```Python hl_lines="7"
|
||||
```Python hl_lines="9"
|
||||
{!../../../docs_src/dependencies/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -69,21 +69,21 @@ If you pass a "callable" as a dependency in **FastAPI**, it will analyze the par
|
||||
|
||||
That also applies to callables with no parameters at all. The same as it would be for *path operation functions* with no parameters.
|
||||
|
||||
Then, we can change the dependency "dependable" `common_parameters` from above to the class `CommonQueryParameters`:
|
||||
Then, we can change the dependency "dependable" `common_parameters` from above to the class `CommonQueryParams`:
|
||||
|
||||
```Python hl_lines="9 10 11 12 13"
|
||||
```Python hl_lines="11 12 13 14 15"
|
||||
{!../../../docs_src/dependencies/tutorial002.py!}
|
||||
```
|
||||
|
||||
Pay attention to the `__init__` method used to create the instance of the class:
|
||||
|
||||
```Python hl_lines="10"
|
||||
```Python hl_lines="12"
|
||||
{!../../../docs_src/dependencies/tutorial002.py!}
|
||||
```
|
||||
|
||||
...it has the same parameters as our previous `common_parameters`:
|
||||
|
||||
```Python hl_lines="6"
|
||||
```Python hl_lines="8"
|
||||
{!../../../docs_src/dependencies/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -101,15 +101,15 @@ In both cases the data will be converted, validated, documented on the OpenAPI s
|
||||
|
||||
Now you can declare your dependency using this class.
|
||||
|
||||
And as when **FastAPI** calls that class the value that will be passed as `commons` to your function will be an "instance" of the class, you can declare that parameter `commons` to be of type of the class, `CommonQueryParams`.
|
||||
|
||||
```Python hl_lines="17"
|
||||
```Python hl_lines="19"
|
||||
{!../../../docs_src/dependencies/tutorial002.py!}
|
||||
```
|
||||
|
||||
**FastAPI** calls the `CommonQueryParams` class. This creates an "instance" of that class and the instance will be passed as the parameter `commons` to your function.
|
||||
|
||||
## Type annotation vs `Depends`
|
||||
|
||||
In the code above, you are declaring `commons` as:
|
||||
Notice how we write `CommonQueryParams` twice in the above code:
|
||||
|
||||
```Python
|
||||
commons: CommonQueryParams = Depends(CommonQueryParams)
|
||||
@@ -143,7 +143,7 @@ commons = Depends(CommonQueryParams)
|
||||
|
||||
..as in:
|
||||
|
||||
```Python hl_lines="17"
|
||||
```Python hl_lines="19"
|
||||
{!../../../docs_src/dependencies/tutorial003.py!}
|
||||
```
|
||||
|
||||
@@ -175,17 +175,17 @@ commons: CommonQueryParams = Depends(CommonQueryParams)
|
||||
commons: CommonQueryParams = Depends()
|
||||
```
|
||||
|
||||
So, you can declare the dependency as the type of the variable, and use `Depends()` as the "default" value (the value after the `=`) for that function's parameter, without any parameter, instead of having to write the full class *again* inside of `Depends(CommonQueryParams)`.
|
||||
You declare the dependency as the type of the parameter, and you use `Depends()` as its "default" value (that after the `=`) for that function's parameter, without any parameter in `Depends()`, instead of having to write the full class *again* inside of `Depends(CommonQueryParams)`.
|
||||
|
||||
So, the same example would look like:
|
||||
The same example would then look like:
|
||||
|
||||
```Python hl_lines="17"
|
||||
```Python hl_lines="19"
|
||||
{!../../../docs_src/dependencies/tutorial004.py!}
|
||||
```
|
||||
|
||||
...and **FastAPI** will know what to do.
|
||||
|
||||
!!! tip
|
||||
If all that seems more confusing than helpful, disregard it, you don't *need* it.
|
||||
|
||||
If that seems more confusing than helpful, disregard it, you don't *need* it.
|
||||
|
||||
It is just a shortcut. Because **FastAPI** cares about helping you minimize code repetition.
|
||||
|
||||
@@ -25,7 +25,7 @@ These dependencies will be executed/solved the same way normal dependencies. But
|
||||
|
||||
Using these `dependencies` in the *path operation decorator* you can make sure they are executed while avoiding editor/tooling errors.
|
||||
|
||||
It might also help avoiding confusion for new developers that see an un-used parameter in your code and could think it's unnecessary.
|
||||
It might also help avoid confusion for new developers that see an unused parameter in your code and could think it's unnecessary.
|
||||
|
||||
## Dependencies errors and return values
|
||||
|
||||
|
||||
@@ -31,7 +31,7 @@ Let's first focus on the dependency.
|
||||
|
||||
It is just a function that can take all the same parameters that a *path operation function* can take:
|
||||
|
||||
```Python hl_lines="6 7"
|
||||
```Python hl_lines="8 9"
|
||||
{!../../../docs_src/dependencies/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -39,7 +39,7 @@ That's it.
|
||||
|
||||
**2 lines**.
|
||||
|
||||
And it has the same shape and structure that all your *path operation functions*.
|
||||
And it has the same shape and structure that all your *path operation functions* have.
|
||||
|
||||
You can think of it as a *path operation function* without the "decorator" (without the `@app.get("/some-path")`).
|
||||
|
||||
@@ -55,7 +55,7 @@ And then it just returns a `dict` containing those values.
|
||||
|
||||
### Import `Depends`
|
||||
|
||||
```Python hl_lines="1"
|
||||
```Python hl_lines="3"
|
||||
{!../../../docs_src/dependencies/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -63,7 +63,7 @@ And then it just returns a `dict` containing those values.
|
||||
|
||||
The same way you use `Body`, `Query`, etc. with your *path operation function* parameters, use `Depends` with a new parameter:
|
||||
|
||||
```Python hl_lines="11 16"
|
||||
```Python hl_lines="13 18"
|
||||
{!../../../docs_src/dependencies/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -123,10 +123,9 @@ So, the interactive docs will have all the information from these dependencies t
|
||||
|
||||
<img src="/img/tutorial/dependencies/image01.png">
|
||||
|
||||
|
||||
## Simple usage
|
||||
|
||||
If you look at it, *path operation functions* are declared to be used whenever a *path* and *operation* matches, and then **FastAPI** takes care of calling the function with the correct parameters and use the response.
|
||||
If you look at it, *path operation functions* are declared to be used whenever a *path* and *operation* matches, and then **FastAPI** takes care of calling the function with the correct parameters, extracting the data from the request.
|
||||
|
||||
Actually, all (or most) of the web frameworks work in this same way.
|
||||
|
||||
|
||||
@@ -10,7 +10,7 @@ They can be as **deep** as you need them to be.
|
||||
|
||||
You could create a first dependency ("dependable") like:
|
||||
|
||||
```Python hl_lines="6 7"
|
||||
```Python hl_lines="8 9"
|
||||
{!../../../docs_src/dependencies/tutorial005.py!}
|
||||
```
|
||||
|
||||
@@ -22,7 +22,7 @@ This is quite simple (not very useful), but will help us focus on how the sub-de
|
||||
|
||||
Then you can create another dependency function (a "dependable") that at the same time declares a dependency of its own (so it is a "dependant" too):
|
||||
|
||||
```Python hl_lines="11"
|
||||
```Python hl_lines="13"
|
||||
{!../../../docs_src/dependencies/tutorial005.py!}
|
||||
```
|
||||
|
||||
@@ -31,13 +31,13 @@ Let's focus on the parameters declared:
|
||||
* Even though this function is a dependency ("dependable") itself, it also declares another dependency (it "depends" on something else).
|
||||
* It depends on the `query_extractor`, and assigns the value returned by it to the parameter `q`.
|
||||
* It also declares an optional `last_query` cookie, as a `str`.
|
||||
* Let's imagine that if the user didn't provide any query `q`, we just use the last query used, that we had saved to a cookie before.
|
||||
* If the user didn't provide any query `q`, we use the last query used, which we saved to a cookie before.
|
||||
|
||||
### Use the dependency
|
||||
|
||||
Then we can use the dependency with:
|
||||
|
||||
```Python hl_lines="19"
|
||||
```Python hl_lines="21"
|
||||
{!../../../docs_src/dependencies/tutorial005.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -20,7 +20,7 @@ You can use `jsonable_encoder` for that.
|
||||
|
||||
It receives an object, like a Pydantic model, and returns a JSON compatible version:
|
||||
|
||||
```Python hl_lines="4 21"
|
||||
```Python hl_lines="5 22"
|
||||
{!../../../docs_src/encoder/tutorial001.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -49,17 +49,18 @@ Here are some of the additional data types you can use:
|
||||
* `Decimal`:
|
||||
* Standard Python `Decimal`.
|
||||
* In requests and responses, handled the same as a `float`.
|
||||
* You can check all the valid pydantic data types here: <a href="https://pydantic-docs.helpmanual.io/usage/types" class="external-link" target="_blank">Pydantic data types</a>.
|
||||
|
||||
## Example
|
||||
|
||||
Here's an example *path operation* with parameters using some of the above types.
|
||||
|
||||
```Python hl_lines="1 2 11 12 13 14 15"
|
||||
```Python hl_lines="1 3 12 13 14 15 16"
|
||||
{!../../../docs_src/extra_data_types/tutorial001.py!}
|
||||
```
|
||||
|
||||
Note that the parameters inside the function have their natural data type, and you can, for example, perform normal date manipulations, like:
|
||||
|
||||
```Python hl_lines="17 18"
|
||||
```Python hl_lines="18 19"
|
||||
{!../../../docs_src/extra_data_types/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -17,7 +17,7 @@ This is especially the case for user models, because:
|
||||
|
||||
Here's a general idea of how the models could look like with their password fields and the places where they are used:
|
||||
|
||||
```Python hl_lines="7 9 14 20 22 27 28 31 32 33 38 39"
|
||||
```Python hl_lines="9 11 16 22 24 29 30 33 34 35 40 41"
|
||||
{!../../../docs_src/extra_models/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -150,7 +150,7 @@ All the data conversion, validation, documentation, etc. will still work as norm
|
||||
|
||||
That way, we can declare just the differences between the models (with plaintext `password`, with `hashed_password` and without password):
|
||||
|
||||
```Python hl_lines="7 13 14 17 18 21 22"
|
||||
```Python hl_lines="9 15 16 19 20 23 24"
|
||||
{!../../../docs_src/extra_models/tutorial002.py!}
|
||||
```
|
||||
|
||||
@@ -162,6 +162,9 @@ It will be defined in OpenAPI with `anyOf`.
|
||||
|
||||
To do that, use the standard Python type hint <a href="https://docs.python.org/3/library/typing.html#typing.Union" class="external-link" target="_blank">`typing.Union`</a>:
|
||||
|
||||
!!! note
|
||||
When defining a <a href="https://pydantic-docs.helpmanual.io/usage/types/#unions" class="external-link" target="_blank">`Union`</a>, include the most specific type first, followed by the less specific type. In the example below, the more specific `PlaneItem` comes before `CarItem` in `Union[PlaneItem, CarItem]`.
|
||||
|
||||
```Python hl_lines="1 14 15 18 19 20 33"
|
||||
{!../../../docs_src/extra_models/tutorial003.py!}
|
||||
```
|
||||
|
||||
@@ -71,13 +71,13 @@ You will see the alternative automatic documentation (provided by <a href="https
|
||||
|
||||
#### "Schema"
|
||||
|
||||
A "schema" is a definition or description of something. Not the code that implements it, but just the abstract description.
|
||||
A "schema" is a definition or description of something. Not the code that implements it, but just an abstract description.
|
||||
|
||||
#### API "schema"
|
||||
|
||||
In this case, OpenAPI is a specification that dictates how to define a schema of your API.
|
||||
In this case, <a href="https://github.com/OAI/OpenAPI-Specification" class="external-link" target="_blank">OpenAPI</a> is a specification that dictates how to define a schema of your API.
|
||||
|
||||
This OpenAPI schema would include your API paths, the possible parameters they take, etc.
|
||||
This schema definition includes your API paths, the possible parameters they take, etc.
|
||||
|
||||
#### Data "schema"
|
||||
|
||||
@@ -91,7 +91,7 @@ OpenAPI defines an API schema for your API. And that schema includes definitions
|
||||
|
||||
#### Check the `openapi.json`
|
||||
|
||||
If you are curious about how the raw OpenAPI schema looks like, it is just an automatically generated JSON with the descriptions of all your API.
|
||||
If you are curious about how the raw OpenAPI schema looks like, FastAPI automatically generates a JSON (schema) with the descriptions of all your API.
|
||||
|
||||
You can see it directly at: <a href="http://127.0.0.1:8000/openapi.json" class="external-link" target="_blank">http://127.0.0.1:8000/openapi.json</a>.
|
||||
|
||||
@@ -120,7 +120,7 @@ It will show a JSON starting with something like:
|
||||
|
||||
#### What is OpenAPI for
|
||||
|
||||
This OpenAPI schema is what powers the 2 interactive documentation systems included.
|
||||
The OpenAPI schema is what powers the two interactive documentation systems included.
|
||||
|
||||
And there are dozens of alternatives, all based on OpenAPI. You could easily add any of those alternatives to your application built with **FastAPI**.
|
||||
|
||||
@@ -139,7 +139,7 @@ You could also use it to generate code automatically, for clients that communica
|
||||
!!! note "Technical Details"
|
||||
`FastAPI` is a class that inherits directly from `Starlette`.
|
||||
|
||||
You can use all the Starlette functionality with `FastAPI` too.
|
||||
You can use all the <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a> functionality with `FastAPI` too.
|
||||
|
||||
### Step 2: create a `FastAPI` "instance"
|
||||
|
||||
@@ -202,7 +202,7 @@ https://example.com/items/foo
|
||||
!!! info
|
||||
A "path" is also commonly called an "endpoint" or a "route".
|
||||
|
||||
Building an API, the "path" is the main way to separate "concerns" and "resources".
|
||||
While building an API, the "path" is the main way to separate "concerns" and "resources".
|
||||
|
||||
#### Operation
|
||||
|
||||
@@ -239,7 +239,7 @@ So, in OpenAPI, each of the HTTP methods is called an "operation".
|
||||
|
||||
We are going to call them "**operations**" too.
|
||||
|
||||
#### Define a *path operation function*
|
||||
#### Define a *path operation decorator*
|
||||
|
||||
```Python hl_lines="6"
|
||||
{!../../../docs_src/first_steps/tutorial001.py!}
|
||||
@@ -281,7 +281,7 @@ And the more exotic ones:
|
||||
|
||||
The information here is presented as a guideline, not a requirement.
|
||||
|
||||
For example, when using GraphQL you normally perform all the actions using only `post`.
|
||||
For example, when using GraphQL you normally perform all the actions using only `POST` operations.
|
||||
|
||||
### Step 4: define the **path operation function**
|
||||
|
||||
@@ -297,7 +297,7 @@ This is our "**path operation function**":
|
||||
|
||||
This is a Python function.
|
||||
|
||||
It will be called by **FastAPI** whenever it receives a request to the URL "`/`" using `GET`.
|
||||
It will be called by **FastAPI** whenever it receives a request to the URL "`/`" using a `GET` operation.
|
||||
|
||||
In this case, it is an `async` function.
|
||||
|
||||
|
||||
@@ -47,7 +47,7 @@ In this example, when the client request an item by an ID that doesn't exist, ra
|
||||
|
||||
### The resulting response
|
||||
|
||||
If the client requests `http://example.com/items/foo` (an `item_id` `"foo"`), he will receive an HTTP status code of 200, and a JSON response of:
|
||||
If the client requests `http://example.com/items/foo` (an `item_id` `"foo"`), that client will receive an HTTP status code of 200, and a JSON response of:
|
||||
|
||||
```JSON
|
||||
{
|
||||
@@ -55,7 +55,7 @@ If the client requests `http://example.com/items/foo` (an `item_id` `"foo"`), he
|
||||
}
|
||||
```
|
||||
|
||||
But if the client requests `http://example.com/items/bar` (a non-existent `item_id` `"bar"`), he will receive an HTTP status code of 404 (the "not found" error), and a JSON response of:
|
||||
But if the client requests `http://example.com/items/bar` (a non-existent `item_id` `"bar"`), that client will receive an HTTP status code of 404 (the "not found" error), and a JSON response of:
|
||||
|
||||
```JSON
|
||||
{
|
||||
@@ -115,7 +115,7 @@ So, you will receive a clean error, with an HTTP status code of `418` and a JSON
|
||||
|
||||
**FastAPI** has some default exception handlers.
|
||||
|
||||
These handlers are in charge or returning the default JSON responses when you `raise` an `HTTPException` and when the request has invalid data.
|
||||
These handlers are in charge of returning the default JSON responses when you `raise` an `HTTPException` and when the request has invalid data.
|
||||
|
||||
You can override these exception handlers with your own.
|
||||
|
||||
@@ -209,13 +209,12 @@ Now try sending an invalid item like:
|
||||
|
||||
You will receive a response telling you that the data is invalid containing the received body:
|
||||
|
||||
```JSON hl_lines="13 14 15 16"
|
||||
```JSON hl_lines="12 13 14 15"
|
||||
{
|
||||
"detail": [
|
||||
{
|
||||
"loc": [
|
||||
"body",
|
||||
"item",
|
||||
"size"
|
||||
],
|
||||
"msg": "value is not a valid integer",
|
||||
|
||||
@@ -6,7 +6,7 @@ You can define Header parameters the same way you define `Query`, `Path` and `Co
|
||||
|
||||
First import `Header`:
|
||||
|
||||
```Python hl_lines="1"
|
||||
```Python hl_lines="3"
|
||||
{!../../../docs_src/header_params/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -16,7 +16,7 @@ Then declare the header parameters using the same structure as with `Path`, `Que
|
||||
|
||||
The first value is the default value, you can pass all the extra validation or annotation parameters:
|
||||
|
||||
```Python hl_lines="7"
|
||||
```Python hl_lines="9"
|
||||
{!../../../docs_src/header_params/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -44,7 +44,7 @@ So, you can use `user_agent` as you normally would in Python code, instead of ne
|
||||
|
||||
If for some reason you need to disable automatic conversion of underscores to hyphens, set the parameter `convert_underscores` of `Header` to `False`:
|
||||
|
||||
```Python hl_lines="7"
|
||||
```Python hl_lines="10"
|
||||
{!../../../docs_src/header_params/tutorial002.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -75,6 +75,6 @@ There is also an **Advanced User Guide** that you can read later after this **Tu
|
||||
|
||||
The **Advanced User Guide**, builds on this, uses the same concepts, and teaches you some extra features.
|
||||
|
||||
But you should first read the **Tutorial - User guide** (what you are reading right now).
|
||||
But you should first read the **Tutorial - User Guide** (what you are reading right now).
|
||||
|
||||
It's designed so that you can build a complete application with just the **Tutorial - User guide**, and then extend it in different ways, depending on your needs, using some of the additional ideas from the **Advanced User Guide**.
|
||||
It's designed so that you can build a complete application with just the **Tutorial - User Guide**, and then extend it in different ways, depending on your needs, using some of the additional ideas from the **Advanced User Guide**.
|
||||
|
||||
105
docs/en/docs/tutorial/metadata.md
Normal file
@@ -0,0 +1,105 @@
|
||||
# Metadata and Docs URLs
|
||||
|
||||
You can customize several metadata configurations in your **FastAPI** application.
|
||||
|
||||
## Title, description, and version
|
||||
|
||||
You can set the:
|
||||
|
||||
* **Title**: used as your API's title/name, in OpenAPI and the automatic API docs UIs.
|
||||
* **Description**: the description of your API, in OpenAPI and the automatic API docs UIs.
|
||||
* **Version**: the version of your API, e.g. `v2` or `2.5.0`.
|
||||
* Useful for example if you had a previous version of the application, also using OpenAPI.
|
||||
|
||||
To set them, use the parameters `title`, `description`, and `version`:
|
||||
|
||||
```Python hl_lines="4 5 6"
|
||||
{!../../../docs_src/metadata/tutorial001.py!}
|
||||
```
|
||||
|
||||
With this configuration, the automatic API docs would look like:
|
||||
|
||||
<img src="/img/tutorial/metadata/image01.png">
|
||||
|
||||
## Metadata for tags
|
||||
|
||||
You can also add additional metadata for the different tags used to group your path operations with the parameter `openapi_tags`.
|
||||
|
||||
It takes a list containing one dictionary for each tag.
|
||||
|
||||
Each dictionary can contain:
|
||||
|
||||
* `name` (**required**): a `str` with the same tag name you use in the `tags` parameter in your *path operations* and `APIRouter`s.
|
||||
* `description`: a `str` with a short description for the tag. It can have Markdown and will be shown in the docs UI.
|
||||
* `externalDocs`: a `dict` describing external documentation with:
|
||||
* `description`: a `str` with a short description for the external docs.
|
||||
* `url` (**required**): a `str` with the URL for the external documentation.
|
||||
|
||||
### Create metadata for tags
|
||||
|
||||
Let's try that in an example with tags for `users` and `items`.
|
||||
|
||||
Create metadata for your tags and pass it to the `openapi_tags` parameter:
|
||||
|
||||
```Python hl_lines="3 4 5 6 7 8 9 10 11 12 13 14 15 16 18"
|
||||
{!../../../docs_src/metadata/tutorial004.py!}
|
||||
```
|
||||
|
||||
Notice that you can use Markdown inside of the descriptions, for example "login" will be shown in bold (**login**) and "fancy" will be shown in italics (_fancy_).
|
||||
|
||||
!!! tip
|
||||
You don't have to add metadata for all the tags that you use.
|
||||
|
||||
### Use your tags
|
||||
|
||||
Use the `tags` parameter with your *path operations* (and `APIRouter`s) to assign them to different tags:
|
||||
|
||||
```Python hl_lines="21 26"
|
||||
{!../../../docs_src/metadata/tutorial004.py!}
|
||||
```
|
||||
|
||||
!!! info
|
||||
Read more about tags in [Path Operation Configuration](../path-operation-configuration/#tags){.internal-link target=_blank}.
|
||||
|
||||
### Check the docs
|
||||
|
||||
Now, if you check the docs, they will show all the additional metadata:
|
||||
|
||||
<img src="/img/tutorial/metadata/image02.png">
|
||||
|
||||
### Order of tags
|
||||
|
||||
The order of each tag metadata dictionary also defines the order shown in the docs UI.
|
||||
|
||||
For example, even though `users` would go after `items` in alphabetical order, it is shown before them, because we added their metadata as the first dictionary in the list.
|
||||
|
||||
## OpenAPI URL
|
||||
|
||||
By default, the OpenAPI schema is served at `/openapi.json`.
|
||||
|
||||
But you can configure it with the parameter `openapi_url`.
|
||||
|
||||
For example, to set it to be served at `/api/v1/openapi.json`:
|
||||
|
||||
```Python hl_lines="3"
|
||||
{!../../../docs_src/metadata/tutorial002.py!}
|
||||
```
|
||||
|
||||
If you want to disable the OpenAPI schema completely you can set `openapi_url=None`, that will also disable the documentation user interfaces that use it.
|
||||
|
||||
## Docs URLs
|
||||
|
||||
You can configure the two documentation user interfaces included:
|
||||
|
||||
* **Swagger UI**: served at `/docs`.
|
||||
* You can set its URL with the parameter `docs_url`.
|
||||
* You can disable it by setting `docs_url=None`.
|
||||
* ReDoc: served at `/redoc`.
|
||||
* You can set its URL with the parameter `redoc_url`.
|
||||
* You can disable it by setting `redoc_url=None`.
|
||||
|
||||
For example, to set Swagger UI to be served at `/documentation` and disable ReDoc:
|
||||
|
||||
```Python hl_lines="3"
|
||||
{!../../../docs_src/metadata/tutorial003.py!}
|
||||
```
|
||||
@@ -6,7 +6,7 @@ The same way you can declare more validations and metadata for query parameters
|
||||
|
||||
First, import `Path` from `fastapi`:
|
||||
|
||||
```Python hl_lines="1"
|
||||
```Python hl_lines="3"
|
||||
{!../../../docs_src/path_params_numeric_validations/tutorial001.py!}
|
||||
```
|
||||
|
||||
@@ -16,7 +16,7 @@ You can declare all the same parameters as for `Query`.
|
||||
|
||||
For example, to declare a `title` metadata value for the path parameter `item_id` you can type:
|
||||
|
||||
```Python hl_lines="8"
|
||||
```Python hl_lines="10"
|
||||
{!../../../docs_src/path_params_numeric_validations/tutorial001.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -85,7 +85,7 @@ And when you open your browser at <a href="http://127.0.0.1:8000/docs" class="ex
|
||||
|
||||
And because the generated schema is from the <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.2.md" class="external-link" target="_blank">OpenAPI</a> standard, there are many compatible tools.
|
||||
|
||||
Because of this, **FastAPI** itself provides an alternative API documentation (using ReDoc):
|
||||
Because of this, **FastAPI** itself provides an alternative API documentation (using ReDoc), which you can access at <a href="http://127.0.0.1:8000/redoc" class="external-link" target="_blank">http://127.0.0.1:8000/redoc</a>:
|
||||
|
||||
<img src="/img/tutorial/path-params/image02.png">
|
||||
|
||||
@@ -125,7 +125,7 @@ Import `Enum` and create a sub-class that inherits from `str` and from `Enum`.
|
||||
|
||||
By inheriting from `str` the API docs will be able to know that the values must be of type `string` and will be able to render correctly.
|
||||
|
||||
And create class attributes with fixed values, those fixed values will be the available valid values:
|
||||
Then create class attributes with fixed values, which will be the available valid values:
|
||||
|
||||
```Python hl_lines="1 6 7 8 9"
|
||||
{!../../../docs_src/path_params/tutorial005.py!}
|
||||
@@ -147,7 +147,7 @@ Then create a *path parameter* with a type annotation using the enum class you c
|
||||
|
||||
### Check the docs
|
||||
|
||||
Because the available values for the *path parameter* are specified, the interactive docs can show them nicely:
|
||||
Because the available values for the *path parameter* are predefined, the interactive docs can show them nicely:
|
||||
|
||||
<img src="/img/tutorial/path-params/image03.png">
|
||||
|
||||
@@ -167,7 +167,7 @@ You can compare it with the *enumeration member* in your created enum `ModelName
|
||||
|
||||
You can get the actual value (a `str` in this case) using `model_name.value`, or in general, `your_enum_member.value`:
|
||||
|
||||
```Python hl_lines="19"
|
||||
```Python hl_lines="20"
|
||||
{!../../../docs_src/path_params/tutorial005.py!}
|
||||
```
|
||||
|
||||
@@ -178,12 +178,21 @@ You can get the actual value (a `str` in this case) using `model_name.value`, or
|
||||
|
||||
You can return *enum members* from your *path operation*, even nested in a JSON body (e.g. a `dict`).
|
||||
|
||||
They will be converted to their corresponding values before returning them to the client:
|
||||
They will be converted to their corresponding values (strings in this case) before returning them to the client:
|
||||
|
||||
```Python hl_lines="18 20 21"
|
||||
```Python hl_lines="18 21 23"
|
||||
{!../../../docs_src/path_params/tutorial005.py!}
|
||||
```
|
||||
|
||||
In your client you will get a JSON response like:
|
||||
|
||||
```JSON
|
||||
{
|
||||
"model_name": "alexnet",
|
||||
"message": "Deep Learning FTW!"
|
||||
}
|
||||
```
|
||||
|
||||
## Path parameters containing paths
|
||||
|
||||
Let's say you have a *path operation* with a path `/files/{file_path}`.
|
||||
|
||||
@@ -4,11 +4,16 @@
|
||||
|
||||
Let's take this application as example:
|
||||
|
||||
```Python hl_lines="7"
|
||||
```Python hl_lines="9"
|
||||
{!../../../docs_src/query_params_str_validations/tutorial001.py!}
|
||||
```
|
||||
|
||||
The query parameter `q` is of type `str`, and by default is `None`, so it is optional.
|
||||
The query parameter `q` is of type `Optional[str]`, that means that it's of type `str` but could also be `None`, and indeed, the default value is `None`, so FastAPI will know it's not required.
|
||||
|
||||
!!! note
|
||||
FastAPI will know that the value of `q` is not required because of the default value `= None`.
|
||||
|
||||
The `Optional` in `Optional[str]` is not used by FastAPI, but will allow your editor to give you better support and detect errors.
|
||||
|
||||
## Additional validation
|
||||
|
||||
@@ -18,7 +23,7 @@ We are going to enforce that even though `q` is optional, whenever it is provide
|
||||
|
||||
To achieve that, first import `Query` from `fastapi`:
|
||||
|
||||
```Python hl_lines="1"
|
||||
```Python hl_lines="3"
|
||||
{!../../../docs_src/query_params_str_validations/tutorial002.py!}
|
||||
```
|
||||
|
||||
@@ -26,7 +31,7 @@ To achieve that, first import `Query` from `fastapi`:
|
||||
|
||||
And now use it as the default value of your parameter, setting the parameter `max_length` to 50:
|
||||
|
||||
```Python hl_lines="7"
|
||||
```Python hl_lines="9"
|
||||
{!../../../docs_src/query_params_str_validations/tutorial002.py!}
|
||||
```
|
||||
|
||||
@@ -35,18 +40,35 @@ As we have to replace the default value `None` with `Query(None)`, the first par
|
||||
So:
|
||||
|
||||
```Python
|
||||
q: str = Query(None)
|
||||
q: Optional[str] = Query(None)
|
||||
```
|
||||
|
||||
...makes the parameter optional, the same as:
|
||||
|
||||
```Python
|
||||
q: str = None
|
||||
q: Optional[str] = None
|
||||
```
|
||||
|
||||
But it declares it explicitly as being a query parameter.
|
||||
|
||||
And then, we can pass more parameters to `Query`. In this case, the `max_length` parameter that applies to strings:
|
||||
!!! info
|
||||
Have in mind that FastAPI cares about the part:
|
||||
|
||||
```Python
|
||||
= None
|
||||
```
|
||||
|
||||
or the:
|
||||
|
||||
```Python
|
||||
= Query(None)
|
||||
```
|
||||
|
||||
and will use that `None` to detect that the query parameter is not required.
|
||||
|
||||
The `Optional` part is only to allow your editor to provide better support.
|
||||
|
||||
Then, we can pass more parameters to `Query`. In this case, the `max_length` parameter that applies to strings:
|
||||
|
||||
```Python
|
||||
q: str = Query(None, max_length=50)
|
||||
@@ -58,7 +80,7 @@ This will validate the data, show a clear error when the data is not valid, and
|
||||
|
||||
You can also add a parameter `min_length`:
|
||||
|
||||
```Python hl_lines="7"
|
||||
```Python hl_lines="9"
|
||||
{!../../../docs_src/query_params_str_validations/tutorial003.py!}
|
||||
```
|
||||
|
||||
@@ -66,7 +88,7 @@ You can also add a parameter `min_length`:
|
||||
|
||||
You can define a <abbr title="A regular expression, regex or regexp is a sequence of characters that define a search pattern for strings.">regular expression</abbr> that the parameter should match:
|
||||
|
||||
```Python hl_lines="8"
|
||||
```Python hl_lines="10"
|
||||
{!../../../docs_src/query_params_str_validations/tutorial004.py!}
|
||||
```
|
||||
|
||||
@@ -104,13 +126,13 @@ q: str
|
||||
instead of:
|
||||
|
||||
```Python
|
||||
q: str = None
|
||||
q: Optional[str] = None
|
||||
```
|
||||
|
||||
But we are now declaring it with `Query`, for example like:
|
||||
|
||||
```Python
|
||||
q: str = Query(None, min_length=3)
|
||||
q: Optional[str] = Query(None, min_length=3)
|
||||
```
|
||||
|
||||
So, when you need to declare a value as required while using `Query`, you can use `...` as the first argument:
|
||||
@@ -120,7 +142,7 @@ So, when you need to declare a value as required while using `Query`, you can us
|
||||
```
|
||||
|
||||
!!! info
|
||||
If you hadn't seen that `...` before: it is a a special single value, it is <a href="https://docs.python.org/3/library/constants.html#Ellipsis" class="external-link" target="_blank">part of Python and is called "Ellipsis"</a>.
|
||||
If you hadn't seen that `...` before: it is a special single value, it is <a href="https://docs.python.org/3/library/constants.html#Ellipsis" class="external-link" target="_blank">part of Python and is called "Ellipsis"</a>.
|
||||
|
||||
This will let **FastAPI** know that this parameter is required.
|
||||
|
||||
@@ -211,13 +233,13 @@ That information will be included in the generated OpenAPI and used by the docum
|
||||
|
||||
You can add a `title`:
|
||||
|
||||
```Python hl_lines="7"
|
||||
```Python hl_lines="10"
|
||||
{!../../../docs_src/query_params_str_validations/tutorial007.py!}
|
||||
```
|
||||
|
||||
And a `description`:
|
||||
|
||||
```Python hl_lines="11"
|
||||
```Python hl_lines="13"
|
||||
{!../../../docs_src/query_params_str_validations/tutorial008.py!}
|
||||
```
|
||||
|
||||
@@ -239,7 +261,7 @@ But you still need it to be exactly `item-query`...
|
||||
|
||||
Then you can declare an `alias`, and that alias is what will be used to find the parameter value:
|
||||
|
||||
```Python hl_lines="7"
|
||||
```Python hl_lines="9"
|
||||
{!../../../docs_src/query_params_str_validations/tutorial009.py!}
|
||||
```
|
||||
|
||||
@@ -251,7 +273,7 @@ You have to leave it there a while because there are clients using it, but you w
|
||||
|
||||
Then pass the parameter `deprecated=True` to `Query`:
|
||||
|
||||
```Python hl_lines="16"
|
||||
```Python hl_lines="18"
|
||||
{!../../../docs_src/query_params_str_validations/tutorial010.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -63,7 +63,7 @@ The parameter values in your function will be:
|
||||
|
||||
The same way, you can declare optional query parameters, by setting their default to `None`:
|
||||
|
||||
```Python hl_lines="7"
|
||||
```Python hl_lines="9"
|
||||
{!../../../docs_src/query_params/tutorial002.py!}
|
||||
```
|
||||
|
||||
@@ -72,11 +72,16 @@ In this case, the function parameter `q` will be optional, and will be `None` by
|
||||
!!! check
|
||||
Also notice that **FastAPI** is smart enough to notice that the path parameter `item_id` is a path parameter and `q` is not, so, it's a query parameter.
|
||||
|
||||
!!! note
|
||||
FastAPI will know that `q` is optional because of the `= None`.
|
||||
|
||||
The `Optional` in `Optional[str]` is not used by FastAPI (FastAPI will only use the `str` part), but the `Optional[str]` will let your editor help you finding errors in your code.
|
||||
|
||||
## Query parameter type conversion
|
||||
|
||||
You can also declare `bool` types, and they will be converted:
|
||||
|
||||
```Python hl_lines="7"
|
||||
```Python hl_lines="9"
|
||||
{!../../../docs_src/query_params/tutorial003.py!}
|
||||
```
|
||||
|
||||
@@ -121,7 +126,7 @@ And you don't have to declare them in any specific order.
|
||||
|
||||
They will be detected by name:
|
||||
|
||||
```Python hl_lines="6 8"
|
||||
```Python hl_lines="8 10"
|
||||
{!../../../docs_src/query_params/tutorial004.py!}
|
||||
```
|
||||
|
||||
@@ -179,7 +184,7 @@ http://127.0.0.1:8000/items/foo-item?needy=sooooneedy
|
||||
|
||||
And of course, you can define some parameters as required, some as having a default value, and some entirely optional:
|
||||
|
||||
```Python hl_lines="7"
|
||||
```Python hl_lines="10"
|
||||
{!../../../docs_src/query_params/tutorial006.py!}
|
||||
```
|
||||
|
||||
@@ -191,36 +196,3 @@ In this case, there are 3 query parameters:
|
||||
|
||||
!!! tip
|
||||
You could also use `Enum`s the same way as with [Path Parameters](path-params.md#predefined-values){.internal-link target=_blank}.
|
||||
|
||||
## Optional type declarations
|
||||
|
||||
!!! warning
|
||||
This might be an advanced use case.
|
||||
|
||||
You might want to skip it.
|
||||
|
||||
If you are using `mypy` it could complain with type declarations like:
|
||||
|
||||
```Python
|
||||
limit: int = None
|
||||
```
|
||||
|
||||
With an error like:
|
||||
|
||||
```
|
||||
Incompatible types in assignment (expression has type "None", variable has type "int")
|
||||
```
|
||||
|
||||
In those cases you can use `Optional` to tell `mypy` that the value could be `None`, like:
|
||||
|
||||
```Python
|
||||
from typing import Optional
|
||||
|
||||
limit: Optional[int] = None
|
||||
```
|
||||
|
||||
In a *path operation* that could look like:
|
||||
|
||||
```Python hl_lines="9"
|
||||
{!../../../docs_src/query_params/tutorial007.py!}
|
||||
```
|
||||
|
||||
@@ -35,13 +35,13 @@ But most importantly:
|
||||
|
||||
Here we are declaring a `UserIn` model, it will contain a plaintext password:
|
||||
|
||||
```Python hl_lines="7 9"
|
||||
```Python hl_lines="9 11"
|
||||
{!../../../docs_src/response_model/tutorial002.py!}
|
||||
```
|
||||
|
||||
And we are using this model to declare our input and the same model to declare our output:
|
||||
|
||||
```Python hl_lines="15 16"
|
||||
```Python hl_lines="17 18"
|
||||
{!../../../docs_src/response_model/tutorial002.py!}
|
||||
```
|
||||
|
||||
@@ -52,25 +52,25 @@ In this case, it might not be a problem, because the user himself is sending the
|
||||
But if we use the same model for another *path operation*, we could be sending our user's passwords to every client.
|
||||
|
||||
!!! danger
|
||||
Never send the plain password of a user in a response.
|
||||
Never store the plain password of a user or send it in a response.
|
||||
|
||||
## Add an output model
|
||||
|
||||
We can instead create an input model with the plaintext password and an output model without it:
|
||||
|
||||
```Python hl_lines="7 9 14"
|
||||
```Python hl_lines="9 11 16"
|
||||
{!../../../docs_src/response_model/tutorial003.py!}
|
||||
```
|
||||
|
||||
Here, even though our *path operation function* is returning the same input user that contains the password:
|
||||
|
||||
```Python hl_lines="22"
|
||||
```Python hl_lines="24"
|
||||
{!../../../docs_src/response_model/tutorial003.py!}
|
||||
```
|
||||
|
||||
...we declared the `response_model` to be our model `UserOut`, that doesn't include the password:
|
||||
|
||||
```Python hl_lines="20"
|
||||
```Python hl_lines="22"
|
||||
{!../../../docs_src/response_model/tutorial003.py!}
|
||||
```
|
||||
|
||||
@@ -94,9 +94,9 @@ Your response model could have default values, like:
|
||||
{!../../../docs_src/response_model/tutorial004.py!}
|
||||
```
|
||||
|
||||
* `description: str = None` has a default of `None`.
|
||||
* `description: Optional[str] = None` has a default of `None`.
|
||||
* `tax: float = 10.5` has a default of `10.5`.
|
||||
* `tags: List[str] = []` has a default of an empty list: `[]`.
|
||||
* `tags: List[str] = []` as a default of an empty list: `[]`.
|
||||
|
||||
but you might want to omit them from the result if they were not actually stored.
|
||||
|
||||
@@ -124,6 +124,14 @@ So, if you send a request to that *path operation* for the item with ID `foo`, t
|
||||
!!! info
|
||||
FastAPI uses Pydantic model's `.dict()` with <a href="https://pydantic-docs.helpmanual.io/usage/exporting_models/#modeldict" class="external-link" target="_blank">its `exclude_unset` parameter</a> to achieve this.
|
||||
|
||||
!!! info
|
||||
You can also use:
|
||||
|
||||
* `response_model_exclude_defaults=True`
|
||||
* `response_model_exclude_none=True`
|
||||
|
||||
as described in <a href="https://pydantic-docs.helpmanual.io/usage/exporting_models/#modeldict" class="external-link" target="_blank">the Pydantic docs</a> for `exclude_defaults` and `exclude_none`.
|
||||
|
||||
#### Data with values for fields with defaults
|
||||
|
||||
But if your data has values for the model's fields with default values, like the item with ID `bar`:
|
||||
@@ -175,7 +183,9 @@ This can be used as a quick shortcut if you have only one Pydantic model and wan
|
||||
|
||||
This is because the JSON Schema generated in your app's OpenAPI (and the docs) will still be the one for the complete model, even if you use `response_model_include` or `response_model_exclude` to omit some attributes.
|
||||
|
||||
```Python hl_lines="29 35"
|
||||
This also applies to `response_model_by_alias` that works similarly.
|
||||
|
||||
```Python hl_lines="31 37"
|
||||
{!../../../docs_src/response_model/tutorial005.py!}
|
||||
```
|
||||
|
||||
@@ -188,7 +198,7 @@ This can be used as a quick shortcut if you have only one Pydantic model and wan
|
||||
|
||||
If you forget to use a `set` and use a `list` or `tuple` instead, FastAPI will still convert it to a `set` and it will work correctly:
|
||||
|
||||
```Python hl_lines="29 35"
|
||||
```Python hl_lines="31 37"
|
||||
{!../../../docs_src/response_model/tutorial006.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -17,6 +17,9 @@ The same way you can specify a response model, you can also declare the HTTP sta
|
||||
|
||||
The `status_code` parameter receives a number with the HTTP status code.
|
||||
|
||||
!!! info
|
||||
`status_code` can alternatively also receive an `IntEnum`, such as Python's <a href="https://docs.python.org/3/library/http.html#http.HTTPStatus" class="external-link" target="_blank">`http.HTTPStatus`</a>.
|
||||
|
||||
It will:
|
||||
|
||||
* Return that status code in the response.
|
||||
@@ -83,4 +86,4 @@ They are just a convenience, they hold the same number, but that way you can use
|
||||
|
||||
## Changing the default
|
||||
|
||||
Later, in the **Advanced User Guide**, you will see how to return a different status code than the default you are declaring here.
|
||||
Later, in the [Advanced User Guide](../advanced/response-change-status-code.md){.internal-link target=_blank}, you will see how to return a different status code than the default you are declaring here.
|
||||
|
||||
58
docs/en/docs/tutorial/schema-extra-example.md
Normal file
@@ -0,0 +1,58 @@
|
||||
# Schema Extra - Example
|
||||
|
||||
You can define extra information to go in JSON Schema.
|
||||
|
||||
A common use case is to add an `example` that will be shown in the docs.
|
||||
|
||||
There are several ways you can declare extra JSON Schema information.
|
||||
|
||||
## Pydantic `schema_extra`
|
||||
|
||||
You can declare an example for a Pydantic model using `Config` and `schema_extra`, as described in <a href="https://pydantic-docs.helpmanual.io/usage/schema/#schema-customization" class="external-link" target="_blank">Pydantic's docs: Schema customization</a>:
|
||||
|
||||
```Python hl_lines="15 16 17 18 19 20 21 22 23"
|
||||
{!../../../docs_src/schema_extra_example/tutorial001.py!}
|
||||
```
|
||||
|
||||
That extra info will be added as-is to the output JSON Schema.
|
||||
|
||||
## `Field` additional arguments
|
||||
|
||||
In `Field`, `Path`, `Query`, `Body` and others you'll see later, you can also declare extra info for the JSON Schema by passing any other arbitrary arguments to the function, for example, to add an `example`:
|
||||
|
||||
```Python hl_lines="4 10 11 12 13"
|
||||
{!../../../docs_src/schema_extra_example/tutorial002.py!}
|
||||
```
|
||||
|
||||
!!! warning
|
||||
Have in mind that those extra arguments passed won't add any validation, only annotation, for documentation purposes.
|
||||
|
||||
## `Body` additional arguments
|
||||
|
||||
The same way you can pass extra info to `Field`, you can do the same with `Path`, `Query`, `Body`, etc.
|
||||
|
||||
For example, you can pass an `example` for a body request to `Body`:
|
||||
|
||||
```Python hl_lines="21 22 23 24 25 26"
|
||||
{!../../../docs_src/schema_extra_example/tutorial003.py!}
|
||||
```
|
||||
|
||||
## Example in the docs UI
|
||||
|
||||
With any of the methods above it would look like this in the `/docs`:
|
||||
|
||||
<img src="/img/tutorial/body-fields/image01.png">
|
||||
|
||||
## Technical Details
|
||||
|
||||
About `example` vs `examples`...
|
||||
|
||||
JSON Schema defines a field <a href="https://json-schema.org/draft/2019-09/json-schema-validation.html#rfc.section.9.5" class="external-link" target="_blank">`examples`</a> in the most recent versions, but OpenAPI is based on an older version of JSON Schema that didn't have `examples`.
|
||||
|
||||
So, OpenAPI defined its own <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.0.3.md#fixed-fields-20" class="external-link" target="_blank">`example`</a> for the same purpose (as `example`, not `examples`), and that's what is used by the docs UI (using Swagger UI).
|
||||
|
||||
So, although `example` is not part of JSON Schema, it is part of OpenAPI, and that's what will be used by the docs UI.
|
||||
|
||||
## Other info
|
||||
|
||||
The same way, you could add your own custom extra info that would be added to the JSON Schema for each model, for example to customize a frontend user interface, etc.
|
||||
@@ -85,12 +85,12 @@ But in this case, the same **FastAPI** application will handle the API and the a
|
||||
|
||||
So, let's review it from that simplified point of view:
|
||||
|
||||
* The user types his `username` and `password` in the frontend, and hits `Enter`.
|
||||
* The frontend (running in the user's browser) sends that `username` and `password` to a specific URL in our API.
|
||||
* The API checks that `username` and `password`, and responds with a "token".
|
||||
* The user types the `username` and `password` in the frontend, and hits `Enter`.
|
||||
* The frontend (running in the user's browser) sends that `username` and `password` to a specific URL in our API (declared with `tokenUrl="token"`).
|
||||
* The API checks that `username` and `password`, and responds with a "token" (we haven't implemented any of this yet).
|
||||
* A "token" is just a string with some content that we can use later to verify this user.
|
||||
* Normally, a token is set to expire after some time.
|
||||
* So, the user will have to login again at some point later.
|
||||
* So, the user will have to log in again at some point later.
|
||||
* And if the token is stolen, the risk is less. It is not like a permanent key that will work forever (in most of the cases).
|
||||
* The frontend stores that token temporarily somewhere.
|
||||
* The user clicks in the frontend to go to another section of the frontend web app.
|
||||
@@ -103,7 +103,7 @@ So, let's review it from that simplified point of view:
|
||||
|
||||
**FastAPI** provides several tools, at different levels of abstraction, to implement these security features.
|
||||
|
||||
In this example we are going to use **OAuth2**, with the **Password** flow, using a **Bearer** token.
|
||||
In this example we are going to use **OAuth2**, with the **Password** flow, using a **Bearer** token. We do that using the `OAuth2PasswordBearer` class.
|
||||
|
||||
!!! info
|
||||
A "bearer" token is not the only option.
|
||||
@@ -114,13 +114,22 @@ In this example we are going to use **OAuth2**, with the **Password** flow, usin
|
||||
|
||||
In that case, **FastAPI** also provides you with the tools to build it.
|
||||
|
||||
`OAuth2PasswordBearer` is a class that we create passing a parameter of the URL in where the client (the frontend running in the user's browser) can use to send the `username` and `password` and get a token.
|
||||
When we create an instance of the `OAuth2PasswordBearer` class we pass in the `tokenUrl` parameter. This parameter contains the URL that the client (the frontend running in the user's browser) will use to send the `username` and `password` in order to get a token.
|
||||
|
||||
```Python hl_lines="6"
|
||||
{!../../../docs_src/security/tutorial001.py!}
|
||||
```
|
||||
|
||||
It doesn't create that endpoint / *path operation*, but declares that that URL is the one that the client should use to get the token. That information is used in OpenAPI, and then in the interactive API documentation systems.
|
||||
!!! tip
|
||||
here `tokenUrl="token"` refers to a relative URL `token` that we haven't created yet. As it's a relative URL, it's equivalent to `./token`.
|
||||
|
||||
Because we are using a relative URL, if your API was located at `https://example.com/`, then it would refer to `https://example.com/token`. But if your API was located at `https://example.com/api/v1/`, then it would refer to `https://example.com/api/v1/token`.
|
||||
|
||||
Using a relative URL is important to make sure your application keeps working even in an advanced use case like [Behind a Proxy](../../advanced/behind-a-proxy.md){.internal-link target=_blank}.
|
||||
|
||||
This parameter doesn't create that endpoint / *path operation*, but declares that the URL `/token` will be the one that the client should use to get the token. That information is used in OpenAPI, and then in the interactive API documentation systems.
|
||||
|
||||
We will soon also create the actual path operation.
|
||||
|
||||
!!! info
|
||||
If you are a very strict "Pythonista" you might dislike the style of the parameter name `tokenUrl` instead of `token_url`.
|
||||
|
||||
@@ -20,26 +20,35 @@ It is not encrypted, so, anyone could recover the information from the contents.
|
||||
|
||||
But it's signed. So, when you receive a token that you emitted, you can verify that you actually emitted it.
|
||||
|
||||
That way, you can create a token with an expiration of, let's say, 1 week. And then when the user comes back the next day with the token, you know she/he is still signed into your system.
|
||||
That way, you can create a token with an expiration of, let's say, 1 week. And then when the user comes back the next day with the token, you know that user is still logged in to your system.
|
||||
|
||||
And after a week, the token will be expired and the user will not be authorized and will have to sign in again to get a new token. And if the user (or a third party) tried to modify the token to change the expiration, you would be able to discover it, because the signatures would not match.
|
||||
After a week, the token will be expired and the user will not be authorized and will have to sign in again to get a new token. And if the user (or a third party) tried to modify the token to change the expiration, you would be able to discover it, because the signatures would not match.
|
||||
|
||||
If you want to play with JWT tokens and see how they work, check <a href="https://jwt.io/" class="external-link" target="_blank">https://jwt.io</a>.
|
||||
|
||||
## Install `PyJWT`
|
||||
## Install `python-jose`
|
||||
|
||||
We need to install `PyJWT` to generate and verify the JWT tokens in Python:
|
||||
We need to install `python-jose` to generate and verify the JWT tokens in Python:
|
||||
|
||||
<div class="termy">
|
||||
|
||||
```console
|
||||
$ pip install pyjwt
|
||||
$ pip install python-jose[cryptography]
|
||||
|
||||
---> 100%
|
||||
```
|
||||
|
||||
</div>
|
||||
|
||||
<a href="https://github.com/mpdavis/python-jose" class="external-link" target="_blank">Python-jose</a> requires a cryptographic backend as an extra.
|
||||
|
||||
Here we are using the recommended one: <a href="http://cryptography.io/" class="external-link" target="_blank">pyca/cryptography</a>.
|
||||
|
||||
!!! tip
|
||||
This tutorial previously used <a href="https://pyjwt.readthedocs.io/" class="external-link" target="_blank">PyJWT</a>.
|
||||
|
||||
But it was updated to use Python-jose instead as it provides all the features from PyJWT plus some extras that you might need later when building integrations with other tools.
|
||||
|
||||
## Password hashing
|
||||
|
||||
"Hashing" means converting some content (a password in this case) into a sequence of bytes (just a string) that looks like gibberish.
|
||||
@@ -88,7 +97,7 @@ Import the tools we need from `passlib`.
|
||||
Create a PassLib "context". This is what will be used to hash and verify passwords.
|
||||
|
||||
!!! tip
|
||||
The PassLib context also has functionality to use different hashing algorithms, including deprecate old ones only to allow verifying them, etc.
|
||||
The PassLib context also has functionality to use different hashing algorithms, including deprecated old ones only to allow verifying them, etc.
|
||||
|
||||
For example, you could use it to read and verify passwords generated by another system (like Django) but hash any new passwords with a different algorithm like Bcrypt.
|
||||
|
||||
@@ -135,7 +144,7 @@ Define a Pydantic Model that will be used in the token endpoint for the response
|
||||
|
||||
Create a utility function to generate a new access token.
|
||||
|
||||
```Python hl_lines="3 6 12 13 14 28 29 30 78 79 80 81 82 83 84 85 86"
|
||||
```Python hl_lines="6 12 13 14 28 29 30 78 79 80 81 82 83 84 85 86"
|
||||
{!../../../docs_src/security/tutorial004.py!}
|
||||
```
|
||||
|
||||
@@ -167,13 +176,13 @@ The JWT specification says that there's a key `sub`, with the subject of the tok
|
||||
|
||||
It's optional to use it, but that's where you would put the user's identification, so we are using it here.
|
||||
|
||||
JWT might be used for other things apart from identifying a user and allowing him to perform operations directly on your API.
|
||||
JWT might be used for other things apart from identifying a user and allowing them to perform operations directly on your API.
|
||||
|
||||
For example, you could identify a "car" or a "blog post".
|
||||
|
||||
Then you could add permissions about that entity, like "drive" (for the car) or "edit" (for the blog).
|
||||
|
||||
And then, you could give that JWT token to a user (or bot), and he could use it to perform those actions (drive the car, or edit the blog post) without even needing to have an account, just with the JWT token your API generated for that.
|
||||
And then, you could give that JWT token to a user (or bot), and they could use it to perform those actions (drive the car, or edit the blog post) without even needing to have an account, just with the JWT token your API generated for that.
|
||||
|
||||
Using these ideas, JWT can be used for way more sophisticated scenarios.
|
||||
|
||||
@@ -247,7 +256,7 @@ Many packages that simplify it a lot have to make many compromises with the data
|
||||
|
||||
It gives you all the flexibility to choose the ones that fit your project the best.
|
||||
|
||||
And you can use directly many well maintained and widely used packages like `passlib` and `pyjwt`, because **FastAPI** doesn't require any complex mechanisms to integrate external packages.
|
||||
And you can use directly many well maintained and widely used packages like `passlib` and `python-jose`, because **FastAPI** doesn't require any complex mechanisms to integrate external packages.
|
||||
|
||||
But it provides you the tools to simplify the process as much as possible without compromising flexibility, robustness, or security.
|
||||
|
||||
|
||||
@@ -36,7 +36,7 @@ They are normally used to declare specific security permissions, for example:
|
||||
In OAuth2 a "scope" is just a string that declares a specific permission required.
|
||||
|
||||
It doesn't matter if it has other characters like `:` or if it is a URL.
|
||||
|
||||
|
||||
Those details are implementation specific.
|
||||
|
||||
For OAuth2 they are just strings.
|
||||
@@ -47,9 +47,9 @@ Now let's use the utilities provided by **FastAPI** to handle this.
|
||||
|
||||
### `OAuth2PasswordRequestForm`
|
||||
|
||||
First, import `OAuth2PasswordRequestForm`, and use it as a dependency with `Depends` for the path `/token`:
|
||||
First, import `OAuth2PasswordRequestForm`, and use it as a dependency with `Depends` in the *path operation* for `/token`:
|
||||
|
||||
```Python hl_lines="2 74"
|
||||
```Python hl_lines="4 76"
|
||||
{!../../../docs_src/security/tutorial003.py!}
|
||||
```
|
||||
|
||||
@@ -90,7 +90,7 @@ If there is no such user, we return an error saying "incorrect username or passw
|
||||
|
||||
For the error, we use the exception `HTTPException`:
|
||||
|
||||
```Python hl_lines="1 75 76 77"
|
||||
```Python hl_lines="3 77 78 79"
|
||||
{!../../../docs_src/security/tutorial003.py!}
|
||||
```
|
||||
|
||||
@@ -118,7 +118,7 @@ If your database is stolen, the thief won't have your users' plaintext passwords
|
||||
|
||||
So, the thief won't be able to try to use those same passwords in another system (as many users use the same password everywhere, this would be dangerous).
|
||||
|
||||
```Python hl_lines="78 79 80 81"
|
||||
```Python hl_lines="80 81 82 83"
|
||||
{!../../../docs_src/security/tutorial003.py!}
|
||||
```
|
||||
|
||||
@@ -156,7 +156,7 @@ For this simple example, we are going to just be completely insecure and return
|
||||
|
||||
But for now, let's focus on the specific details we need.
|
||||
|
||||
```Python hl_lines="83"
|
||||
```Python hl_lines="85"
|
||||
{!../../../docs_src/security/tutorial003.py!}
|
||||
```
|
||||
|
||||
@@ -166,7 +166,7 @@ For this simple example, we are going to just be completely insecure and return
|
||||
This is something that you have to do yourself in your code, and make sure you use those JSON keys.
|
||||
|
||||
It's almost the only thing that you have to remember to do correctly yourself, to be compliant with the specifications.
|
||||
|
||||
|
||||
For the rest, **FastAPI** handles it for you.
|
||||
|
||||
## Update the dependencies
|
||||
@@ -177,11 +177,11 @@ We want to get the `current_user` *only* if this user is active.
|
||||
|
||||
So, we create an additional dependency `get_current_active_user` that in turn uses `get_current_user` as a dependency.
|
||||
|
||||
Both of these dependencies will just return an HTTP error if the user doesn't exists, or if is inactive.
|
||||
Both of these dependencies will just return an HTTP error if the user doesn't exist, or if is inactive.
|
||||
|
||||
So, in our endpoint, we will only get a user if the user exists, was correctly authenticated, and is active:
|
||||
|
||||
```Python hl_lines="56 57 58 59 60 61 62 63 64 65 67 68 69 70 88"
|
||||
```Python hl_lines="58 59 60 61 62 63 64 65 66 67 69 70 71 72 90"
|
||||
{!../../../docs_src/security/tutorial003.py!}
|
||||
```
|
||||
|
||||
|
||||
@@ -98,9 +98,9 @@ Let's refer to the file `sql_app/database.py`.
|
||||
|
||||
In this example, we are "connecting" to a SQLite database (opening a file with the SQLite database).
|
||||
|
||||
The file will be located at the same directory in the file `test.db`.
|
||||
The file will be located at the same directory in the file `sql_app.db`.
|
||||
|
||||
That's why the last part is `./test.db`.
|
||||
That's why the last part is `./sql_app.db`.
|
||||
|
||||
If you were using a **PostgreSQL** database instead, you would just have to uncomment the line:
|
||||
|
||||
@@ -437,6 +437,8 @@ And you would also use Alembic for "migrations" (that's its main job).
|
||||
|
||||
A "migration" is the set of steps needed whenever you change the structure of your SQLAlchemy models, add a new attribute, etc. to replicate those changes in the database, add a new column, a new table, etc.
|
||||
|
||||
You can find an example of Alembic in a FastAPI project in the templates from [Project Generation - Template](../project-generation.md){.internal-link target=_blank}. Specifically in <a href="https://github.com/tiangolo/full-stack-fastapi-postgresql/tree/master/%7B%7Bcookiecutter.project_slug%7D%7D/backend/app/alembic/" class="external-link" target="_blank">the `alembic` directory in the source code</a>.
|
||||
|
||||
### Create a dependency
|
||||
|
||||
!!! info
|
||||
@@ -537,6 +539,9 @@ def read_user(user_id: int, db: Session = Depends(get_db)):
|
||||
...
|
||||
```
|
||||
|
||||
!!! info
|
||||
If you need to connect to your relational database asynchronously, see [Async SQL (Relational) Databases](../advanced/async-sql-databases.md){.internal-link target=_blank}.
|
||||
|
||||
!!! note "Very Technical Details"
|
||||
If you are curious and have a deep technical knowledge, you can check the very technical details of how this `async def` vs `def` is handled in the [Async](../async.md#very-technical-details){.internal-link target=_blank} docs.
|
||||
|
||||
|
||||