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@ -1,17 +0,0 @@
{
"name": "pallets/flask",
"image": "mcr.microsoft.com/devcontainers/python:3",
"customizations": {
"vscode": {
"settings": {
"python.defaultInterpreterPath": "${workspaceFolder}/.venv",
"python.terminal.activateEnvInCurrentTerminal": true,
"python.terminal.launchArgs": [
"-X",
"dev"
]
}
}
},
"onCreateCommand": ".devcontainer/on-create-command.sh"
}

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@ -1,7 +0,0 @@
#!/bin/bash
set -e
python3 -m venv --upgrade-deps .venv
. .venv/bin/activate
pip install -r requirements/dev.txt
pip install -e .
pre-commit install --install-hooks

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@ -9,5 +9,5 @@ end_of_line = lf
charset = utf-8 charset = utf-8
max_line_length = 88 max_line_length = 88
[*.{css,html,js,json,jsx,scss,ts,tsx,yaml,yml}] [*.{yml,yaml,json,js,css,html}]
indent_size = 2 indent_size = 2

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@ -5,7 +5,7 @@ about: Report a bug in Flask (not other projects which depend on Flask)
<!-- <!--
This issue tracker is a tool to address bugs in Flask itself. Please use This issue tracker is a tool to address bugs in Flask itself. Please use
GitHub Discussions or the Pallets Discord for questions about your own code. Pallets Discord or Stack Overflow for questions about your own code.
Replace this comment with a clear outline of what the bug is. Replace this comment with a clear outline of what the bug is.
--> -->

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@ -1,11 +1,11 @@
blank_issues_enabled: false blank_issues_enabled: false
contact_links: contact_links:
- name: Security issue - name: Security issue
url: https://github.com/pallets/flask/security/advisories/new url: security@palletsprojects.com
about: Do not report security issues publicly. Create a private advisory. about: Do not report security issues publicly. Email our security contact.
- name: Questions on GitHub Discussions - name: Questions
url: https://github.com/pallets/flask/discussions/ url: https://stackoverflow.com/questions/tagged/flask?tab=Frequent
about: Ask questions about your own code on the Discussions tab. about: Search for and ask questions about your code on Stack Overflow.
- name: Questions on Discord - name: Questions and discussions
url: https://discord.gg/pallets url: https://discord.gg/pallets
about: Ask questions about your own code on our Discord chat. about: Discuss questions about your code on our Discord chat.

19
.github/SECURITY.md vendored Normal file
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@ -0,0 +1,19 @@
# Security Policy
If you believe you have identified a security issue with a Pallets
project, **do not open a public issue**. To responsibly report a
security issue, please email security@palletsprojects.com. A security
team member will contact you acknowledging the report and how to
continue.
Be sure to include as much detail as necessary in your report. As with
reporting normal issues, a minimal reproducible example will help the
maintainers address the issue faster. If you are able, you may also
include a fix for the issue generated with `git format-patch`.
The current and previous release will receive security patches, with
older versions evaluated based on usage information and severity.
After fixing an issue, we will make a security release along with an
announcement on our blog. We may obtain a CVE id as well. You may
include a name and link if you would like to be credited for the report.

8
.github/dependabot.yml vendored Normal file
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@ -0,0 +1,8 @@
version: 2
updates:
- package-ecosystem: pip
directory: "/"
schedule:
interval: monthly
time: "08:00"
open-pull-requests-limit: 99

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@ -1,7 +1,6 @@
<!-- <!--
Before opening a PR, open a ticket describing the issue or feature the Before opening a PR, open a ticket describing the issue or feature the
PR will address. An issue is not required for fixing typos in PR will address. Follow the steps in CONTRIBUTING.rst.
documentation, or other simple non-code changes.
Replace this comment with a description of the change. Describe how it Replace this comment with a description of the change. Describe how it
addresses the linked ticket. addresses the linked ticket.
@ -10,16 +9,22 @@ addresses the linked ticket.
<!-- <!--
Link to relevant issues or previous PRs, one per line. Use "fixes" to Link to relevant issues or previous PRs, one per line. Use "fixes" to
automatically close an issue. automatically close an issue.
fixes #<issue number>
--> -->
- fixes #<issue number>
<!-- <!--
Ensure each step in CONTRIBUTING.rst is complete, especially the following: Ensure each step in CONTRIBUTING.rst is complete by adding an "x" to
each box below.
- Add tests that demonstrate the correct behavior of the change. Tests If only docs were changed, these aren't relevant and can be removed.
should fail without the change.
- Add or update relevant docs, in the docs folder and in code.
- Add an entry in CHANGES.rst summarizing the change and linking to the issue.
- Add `.. versionchanged::` entries in any relevant code docs.
--> -->
Checklist:
- [ ] Add tests that demonstrate the correct behavior of the change. Tests should fail without the change.
- [ ] Add or update relevant docs, in the docs folder and in code.
- [ ] Add an entry in `CHANGES.rst` summarizing the change and linking to the issue.
- [ ] Add `.. versionchanged::` entries in any relevant code docs.
- [ ] Run `pre-commit` hooks and fix any issues.
- [ ] Run `pytest` and `tox`, no tests failed.

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@ -1,26 +1,15 @@
name: Lock inactive closed issues name: 'Lock threads'
# Lock closed issues that have not received any further activity for two weeks.
# This does not close open issues, only humans may do that. It is easier to
# respond to new issues with fresh examples rather than continuing discussions
# on old issues.
on: on:
schedule: schedule:
- cron: '0 0 * * *' - cron: '0 0 * * *'
permissions: {}
concurrency:
group: lock
cancel-in-progress: true
jobs: jobs:
lock: lock:
runs-on: ubuntu-latest runs-on: ubuntu-latest
permissions:
issues: write
pull-requests: write
discussions: write
steps: steps:
- uses: dessant/lock-threads@7266a7ce5c1df01b1c6db85bf8cd86c737dadbe7 # v6.0.0 - uses: dessant/lock-threads@v2
with: with:
issue-inactive-days: 14 github-token: ${{ github.token }}
pr-inactive-days: 14 issue-lock-inactive-days: 14
discussion-inactive-days: 14 pr-lock-inactive-days: 14

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@ -1,29 +0,0 @@
name: pre-commit
on:
pull_request:
push:
branches: [main, stable]
permissions: {}
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true
jobs:
main:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- uses: astral-sh/setup-uv@cec208311dfd045dd5311c1add060b2062131d57 # v8.0.0
with:
enable-cache: true
prune-cache: false
- uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
id: setup-python
with:
python-version-file: pyproject.toml
- uses: actions/cache@668228422ae6a00e4ad889ee87cd7109ec5666a7 # v5.0.4
with:
path: ~/.cache/pre-commit
key: pre-commit|${{ hashFiles('pyproject.toml', '.pre-commit-config.yaml') }}
- run: uv run --locked --no-default-groups --group pre-commit pre-commit run --show-diff-on-failure --color=always --all-files

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@ -1,62 +0,0 @@
name: Publish
on:
push:
tags: ['*']
permissions: {}
concurrency:
group: publish-${{ github.event.push.ref }}
cancel-in-progress: true
jobs:
build:
runs-on: ubuntu-latest
outputs:
artifact-id: ${{ steps.upload-artifact.outputs.artifact-id }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- uses: astral-sh/setup-uv@cec208311dfd045dd5311c1add060b2062131d57 # v8.0.0
with:
enable-cache: false
prune-cache: false
- uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version-file: pyproject.toml
- run: echo "SOURCE_DATE_EPOCH=$(git log -1 --pretty=%ct)" >> $GITHUB_ENV
- run: uv build
- uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7.0.0
id: upload-artifact
with:
name: dist
path: dist/
if-no-files-found: error
create-release:
needs: [build]
runs-on: ubuntu-latest
permissions:
contents: write
steps:
- uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
artifact-ids: ${{ needs.build.outputs.artifact-id }}
path: dist/
- name: create release
run: gh release create --draft --repo ${GITHUB_REPOSITORY} ${GITHUB_REF_NAME} dist/*
env:
GH_TOKEN: ${{ github.token }}
publish-pypi:
needs: [build]
environment:
name: publish
url: https://pypi.org/project/Flask/${{ github.ref_name }}
runs-on: ubuntu-latest
permissions:
id-token: write
steps:
- uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
artifact-ids: ${{ needs.build.outputs.artifact-id }}
path: dist/
- uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # v1.13.0
with:
packages-dir: "dist/"

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@ -1,63 +1,54 @@
name: Tests name: Tests
on: on:
pull_request:
paths-ignore: ['docs/**', 'README.md']
push: push:
branches: [main, stable] branches:
paths-ignore: ['docs/**', 'README.md'] - main
permissions: {} - '*.x'
concurrency: paths-ignore:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} - 'docs/**'
cancel-in-progress: true - '*.md'
- '*.rst'
pull_request:
branches:
- main
- '*.x'
paths-ignore:
- 'docs/**'
- '*.md'
- '*.rst'
jobs: jobs:
tests: tests:
name: ${{ matrix.name || matrix.python }} name: ${{ matrix.name }}
runs-on: ${{ matrix.os || 'ubuntu-latest' }} runs-on: ${{ matrix.os }}
strategy: strategy:
fail-fast: false fail-fast: false
matrix: matrix:
include: include:
- {python: '3.14'} - {name: Linux, python: '3.9', os: ubuntu-latest, tox: py39}
- {python: '3.14t'} - {name: Windows, python: '3.9', os: windows-latest, tox: py39}
- {name: Windows, python: '3.14', os: windows-latest} - {name: Mac, python: '3.9', os: macos-latest, tox: py39}
- {name: Mac, python: '3.14', os: macos-latest} - {name: '3.8', python: '3.8', os: ubuntu-latest, tox: py38}
- {python: '3.13'} - {name: '3.7', python: '3.7', os: ubuntu-latest, tox: py37}
- {python: '3.12'} - {name: '3.6', python: '3.6', os: ubuntu-latest, tox: py36}
- {python: '3.11'} - {name: 'PyPy', python: pypy3, os: ubuntu-latest, tox: pypy3}
- {python: '3.10'} - {name: Typing, python: '3.9', os: ubuntu-latest, tox: typing}
- {name: PyPy, python: 'pypy-3.11', tox: pypy3.11}
- {name: Minimum Versions, python: '3.14', tox: tests-min}
- {name: Development Versions, python: '3.10', tox: tests-dev}
steps: steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 - uses: actions/checkout@v2
with: - uses: actions/setup-python@v2
persist-credentials: false
- uses: astral-sh/setup-uv@cec208311dfd045dd5311c1add060b2062131d57 # v8.0.0
with:
enable-cache: true
prune-cache: false
- uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with: with:
python-version: ${{ matrix.python }} python-version: ${{ matrix.python }}
- run: uv run --locked --no-default-groups --group dev tox run - name: update pip
env: run: |
TOX_ENV: ${{ matrix.tox || format('py{0}', matrix.python) }} pip install -U wheel
typing: pip install -U setuptools
runs-on: ubuntu-latest python -m pip install -U pip
steps: - name: get pip cache dir
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 id: pip-cache
run: echo "::set-output name=dir::$(pip cache dir)"
- name: cache pip
uses: actions/cache@v2
with: with:
persist-credentials: false path: ${{ steps.pip-cache.outputs.dir }}
- uses: astral-sh/setup-uv@cec208311dfd045dd5311c1add060b2062131d57 # v8.0.0 key: pip|${{ runner.os }}|${{ matrix.python }}|${{ hashFiles('setup.py') }}|${{ hashFiles('requirements/*.txt') }}
with: - run: pip install tox
enable-cache: true - run: tox -e ${{ matrix.tox }}
prune-cache: false
- uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version-file: pyproject.toml
- name: cache mypy
uses: actions/cache@668228422ae6a00e4ad889ee87cd7109ec5666a7 # v5.0.4
with:
path: ./.mypy_cache
key: mypy|${{ hashFiles('pyproject.toml') }}
- run: uv run --locked --no-default-groups --group dev tox run -e typing

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@ -1,22 +0,0 @@
name: GitHub Actions security analysis with zizmor
on:
pull_request:
paths: ["**/*.yaml?"]
push:
branches: [main, stable]
paths: ["**/*.yaml?"]
permissions: {}
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true
jobs:
zizmor:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- uses: zizmorcore/zizmor-action@71321a20a9ded102f6e9ce5718a2fcec2c4f70d8 # v0.5.2
with:
advanced-security: false
annotations: true

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.gitignore vendored
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@ -1,8 +1,26 @@
.idea/ .DS_Store
.vscode/ .env
__pycache__/ .flaskenv
*.pyc
*.pyo
env/
venv/
.venv/
env*
dist/ dist/
.coverage* build/
htmlcov/ *.egg
*.egg-info/
_mailinglist
.tox/ .tox/
.cache/
.pytest_cache/
.idea/
docs/_build/ docs/_build/
.vscode
# Coverage reports
htmlcov/
.coverage
.coverage.*
*,cover

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@ -1,23 +1,32 @@
ci:
autoupdate_schedule: monthly
repos: repos:
- repo: https://github.com/astral-sh/ruff-pre-commit - repo: https://github.com/asottile/pyupgrade
rev: 5e2fb545eba1ea9dc051f6f962d52fe8f76a9794 # frozen: v0.15.13 rev: v2.29.0
hooks: hooks:
- id: ruff-check - id: pyupgrade
- id: ruff-format args: ["--py36-plus"]
- repo: https://github.com/astral-sh/uv-pre-commit - repo: https://github.com/asottile/reorder_python_imports
rev: fa60a193803535a9e2accdb3ca4b1b584b1150cb # frozen: 0.11.15 rev: v2.6.0
hooks: hooks:
- id: uv-lock - id: reorder-python-imports
- repo: https://github.com/codespell-project/codespell name: Reorder Python imports (src, tests)
rev: 2ccb47ff45ad361a21071a7eedda4c37e6ae8c5a # frozen: v2.4.2 files: "^(?!examples/)"
args: ["--application-directories", "src"]
- repo: https://github.com/psf/black
rev: 21.9b0
hooks: hooks:
- id: codespell - id: black
args: ['--write-changes'] - repo: https://github.com/PyCQA/flake8
rev: 3.9.2
hooks:
- id: flake8
additional_dependencies:
- flake8-bugbear
- flake8-implicit-str-concat
- repo: https://github.com/pre-commit/pre-commit-hooks - repo: https://github.com/pre-commit/pre-commit-hooks
rev: 3e8a8703264a2f4a69428a0aa4dcb512790b2c8c # frozen: v6.0.0 rev: v4.0.1
hooks: hooks:
- id: check-merge-conflict
- id: debug-statements
- id: fix-byte-order-marker - id: fix-byte-order-marker
- id: trailing-whitespace - id: trailing-whitespace
- id: end-of-file-fixer - id: end-of-file-fixer

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@ -1,10 +1,9 @@
version: 2 version: 2
build: python:
os: ubuntu-24.04 install:
tools: - requirements: requirements/docs.txt
python: '3.13' - method: pip
commands: path: .
- asdf plugin add uv sphinx:
- asdf install uv latest builder: dirhtml
- asdf global uv latest fail_on_warning: true
- uv run --group docs sphinx-build -W -b dirhtml docs $READTHEDOCS_OUTPUT/html

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76
CODE_OF_CONDUCT.md Normal file
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@ -0,0 +1,76 @@
# Contributor Covenant Code of Conduct
## Our Pledge
In the interest of fostering an open and welcoming environment, we as
contributors and maintainers pledge to making participation in our project and
our community a harassment-free experience for everyone, regardless of age, body
size, disability, ethnicity, sex characteristics, gender identity and expression,
level of experience, education, socio-economic status, nationality, personal
appearance, race, religion, or sexual identity and orientation.
## Our Standards
Examples of behavior that contributes to creating a positive environment
include:
* Using welcoming and inclusive language
* Being respectful of differing viewpoints and experiences
* Gracefully accepting constructive criticism
* Focusing on what is best for the community
* Showing empathy towards other community members
Examples of unacceptable behavior by participants include:
* The use of sexualized language or imagery and unwelcome sexual attention or
advances
* Trolling, insulting/derogatory comments, and personal or political attacks
* Public or private harassment
* Publishing others' private information, such as a physical or electronic
address, without explicit permission
* Other conduct which could reasonably be considered inappropriate in a
professional setting
## Our Responsibilities
Project maintainers are responsible for clarifying the standards of acceptable
behavior and are expected to take appropriate and fair corrective action in
response to any instances of unacceptable behavior.
Project maintainers have the right and responsibility to remove, edit, or
reject comments, commits, code, wiki edits, issues, and other contributions
that are not aligned to this Code of Conduct, or to ban temporarily or
permanently any contributor for other behaviors that they deem inappropriate,
threatening, offensive, or harmful.
## Scope
This Code of Conduct applies both within project spaces and in public spaces
when an individual is representing the project or its community. Examples of
representing a project or community include using an official project e-mail
address, posting via an official social media account, or acting as an appointed
representative at an online or offline event. Representation of a project may be
further defined and clarified by project maintainers.
## Enforcement
Instances of abusive, harassing, or otherwise unacceptable behavior may be
reported by contacting the project team at report@palletsprojects.com. All
complaints will be reviewed and investigated and will result in a response that
is deemed necessary and appropriate to the circumstances. The project team is
obligated to maintain confidentiality with regard to the reporter of an incident.
Further details of specific enforcement policies may be posted separately.
Project maintainers who do not follow or enforce the Code of Conduct in good
faith may face temporary or permanent repercussions as determined by other
members of the project's leadership.
## Attribution
This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,
available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html
[homepage]: https://www.contributor-covenant.org
For answers to common questions about this code of conduct, see
https://www.contributor-covenant.org/faq

229
CONTRIBUTING.rst Normal file
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@ -0,0 +1,229 @@
How to contribute to Flask
==========================
Thank you for considering contributing to Flask!
Support questions
-----------------
Please don't use the issue tracker for this. The issue tracker is a tool
to address bugs and feature requests in Flask itself. Use one of the
following resources for questions about using Flask or issues with your
own code:
- The ``#questions`` channel on our Discord chat:
https://discord.gg/pallets
- The mailing list flask@python.org for long term discussion or larger
issues.
- Ask on `Stack Overflow`_. Search with Google first using:
``site:stackoverflow.com flask {search term, exception message, etc.}``
- Ask on our `GitHub Discussions`_.
.. _Stack Overflow: https://stackoverflow.com/questions/tagged/flask?tab=Frequent
.. _GitHub Discussions: https://github.com/pallets/flask/discussions
Reporting issues
----------------
Include the following information in your post:
- Describe what you expected to happen.
- If possible, include a `minimal reproducible example`_ to help us
identify the issue. This also helps check that the issue is not with
your own code.
- Describe what actually happened. Include the full traceback if there
was an exception.
- List your Python and Flask versions. If possible, check if this
issue is already fixed in the latest releases or the latest code in
the repository.
.. _minimal reproducible example: https://stackoverflow.com/help/minimal-reproducible-example
Submitting patches
------------------
If there is not an open issue for what you want to submit, prefer
opening one for discussion before working on a PR. You can work on any
issue that doesn't have an open PR linked to it or a maintainer assigned
to it. These show up in the sidebar. No need to ask if you can work on
an issue that interests you.
Include the following in your patch:
- Use `Black`_ to format your code. This and other tools will run
automatically if you install `pre-commit`_ using the instructions
below.
- Include tests if your patch adds or changes code. Make sure the test
fails without your patch.
- Update any relevant docs pages and docstrings. Docs pages and
docstrings should be wrapped at 72 characters.
- Add an entry in ``CHANGES.rst``. Use the same style as other
entries. Also include ``.. versionchanged::`` inline changelogs in
relevant docstrings.
.. _Black: https://black.readthedocs.io
.. _pre-commit: https://pre-commit.com
First time setup
~~~~~~~~~~~~~~~~
- Download and install the `latest version of git`_.
- Configure git with your `username`_ and `email`_.
.. code-block:: text
$ git config --global user.name 'your name'
$ git config --global user.email 'your email'
- Make sure you have a `GitHub account`_.
- Fork Flask to your GitHub account by clicking the `Fork`_ button.
- `Clone`_ the main repository locally.
.. code-block:: text
$ git clone https://github.com/pallets/flask
$ cd flask
- Add your fork as a remote to push your work to. Replace
``{username}`` with your username. This names the remote "fork", the
default Pallets remote is "origin".
.. code-block:: text
$ git remote add fork https://github.com/{username}/flask
- Create a virtualenv.
.. tabs::
.. group-tab:: Linux/macOS
.. code-block:: text
$ python3 -m venv env
$ . env/bin/activate
.. group-tab:: Windows
.. code-block:: text
> py -3 -m venv env
> env\Scripts\activate
- Upgrade pip and setuptools.
.. code-block:: text
$ python -m pip install --upgrade pip setuptools
- Install the development dependencies, then install Flask in editable
mode.
.. code-block:: text
$ pip install -r requirements/dev.txt && pip install -e .
- Install the pre-commit hooks.
.. code-block:: text
$ pre-commit install
.. _latest version of git: https://git-scm.com/downloads
.. _username: https://docs.github.com/en/github/using-git/setting-your-username-in-git
.. _email: https://docs.github.com/en/github/setting-up-and-managing-your-github-user-account/setting-your-commit-email-address
.. _GitHub account: https://github.com/join
.. _Fork: https://github.com/pallets/flask/fork
.. _Clone: https://docs.github.com/en/github/getting-started-with-github/fork-a-repo#step-2-create-a-local-clone-of-your-fork
Start coding
~~~~~~~~~~~~
- Create a branch to identify the issue you would like to work on. If
you're submitting a bug or documentation fix, branch off of the
latest ".x" branch.
.. code-block:: text
$ git fetch origin
$ git checkout -b your-branch-name origin/2.0.x
If you're submitting a feature addition or change, branch off of the
"main" branch.
.. code-block:: text
$ git fetch origin
$ git checkout -b your-branch-name origin/main
- Using your favorite editor, make your changes,
`committing as you go`_.
- Include tests that cover any code changes you make. Make sure the
test fails without your patch. Run the tests as described below.
- Push your commits to your fork on GitHub and
`create a pull request`_. Link to the issue being addressed with
``fixes #123`` in the pull request.
.. code-block:: text
$ git push --set-upstream fork your-branch-name
.. _committing as you go: https://dont-be-afraid-to-commit.readthedocs.io/en/latest/git/commandlinegit.html#commit-your-changes
.. _create a pull request: https://docs.github.com/en/github/collaborating-with-issues-and-pull-requests/creating-a-pull-request
Running the tests
~~~~~~~~~~~~~~~~~
Run the basic test suite with pytest.
.. code-block:: text
$ pytest
This runs the tests for the current environment, which is usually
sufficient. CI will run the full suite when you submit your pull
request. You can run the full test suite with tox if you don't want to
wait.
.. code-block:: text
$ tox
Running test coverage
~~~~~~~~~~~~~~~~~~~~~
Generating a report of lines that do not have test coverage can indicate
where to start contributing. Run ``pytest`` using ``coverage`` and
generate a report.
.. code-block:: text
$ pip install coverage
$ coverage run -m pytest
$ coverage html
Open ``htmlcov/index.html`` in your browser to explore the report.
Read more about `coverage <https://coverage.readthedocs.io>`__.
Building the docs
~~~~~~~~~~~~~~~~~
Build the docs in the ``docs`` directory using Sphinx.
.. code-block:: text
$ cd docs
$ make html
Open ``_build/html/index.html`` in your browser to view the docs.
Read more about `Sphinx <https://www.sphinx-doc.org/en/stable/>`__.

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include CHANGES.rst
include CONTRIBUTING.rst
include tox.ini
include requirements/*.txt
graft artwork
graft docs
prune docs/_build
graft examples
graft tests
include src/flask/py.typed
global-exclude *.pyc

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<div align="center"><img src="https://raw.githubusercontent.com/pallets/flask/refs/heads/stable/docs/_static/flask-name.svg" alt="" height="150"></div>
# Flask
Flask is a lightweight [WSGI] web application framework. It is designed
to make getting started quick and easy, with the ability to scale up to
complex applications. It began as a simple wrapper around [Werkzeug]
and [Jinja], and has become one of the most popular Python web
application frameworks.
Flask offers suggestions, but doesn't enforce any dependencies or
project layout. It is up to the developer to choose the tools and
libraries they want to use. There are many extensions provided by the
community that make adding new functionality easy.
[WSGI]: https://wsgi.readthedocs.io/
[Werkzeug]: https://werkzeug.palletsprojects.com/
[Jinja]: https://jinja.palletsprojects.com/
## A Simple Example
```python
# save this as app.py
from flask import Flask
app = Flask(__name__)
@app.route("/")
def hello():
return "Hello, World!"
```
```
$ flask run
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
```
## Donate
The Pallets organization develops and supports Flask and the libraries
it uses. In order to grow the community of contributors and users, and
allow the maintainers to devote more time to the projects, [please
donate today].
[please donate today]: https://palletsprojects.com/donate
## Contributing
See our [detailed contributing documentation][contrib] for many ways to
contribute, including reporting issues, requesting features, asking or answering
questions, and making PRs.
[contrib]: https://palletsprojects.com/contributing/

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Flask
=====
Flask is a lightweight `WSGI`_ web application framework. It is designed
to make getting started quick and easy, with the ability to scale up to
complex applications. It began as a simple wrapper around `Werkzeug`_
and `Jinja`_ and has become one of the most popular Python web
application frameworks.
Flask offers suggestions, but doesn't enforce any dependencies or
project layout. It is up to the developer to choose the tools and
libraries they want to use. There are many extensions provided by the
community that make adding new functionality easy.
.. _WSGI: https://wsgi.readthedocs.io/
.. _Werkzeug: https://werkzeug.palletsprojects.com/
.. _Jinja: https://jinja.palletsprojects.com/
Installing
----------
Install and update using `pip`_:
.. code-block:: text
$ pip install -U Flask
.. _pip: https://pip.pypa.io/en/stable/getting-started/
A Simple Example
----------------
.. code-block:: python
# save this as app.py
from flask import Flask
app = Flask(__name__)
@app.route("/")
def hello():
return "Hello, World!"
.. code-block:: text
$ flask run
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
Contributing
------------
For guidance on setting up a development environment and how to make a
contribution to Flask, see the `contributing guidelines`_.
.. _contributing guidelines: https://github.com/pallets/flask/blob/main/CONTRIBUTING.rst
Donate
------
The Pallets organization develops and supports Flask and the libraries
it uses. In order to grow the community of contributors and users, and
allow the maintainers to devote more time to the projects, `please
donate today`_.
.. _please donate today: https://palletsprojects.com/donate
Links
-----
- Documentation: https://flask.palletsprojects.com/
- Changes: https://flask.palletsprojects.com/changes/
- PyPI Releases: https://pypi.org/project/Flask/
- Source Code: https://github.com/pallets/flask/
- Issue Tracker: https://github.com/pallets/flask/issues/
- Website: https://palletsprojects.com/p/flask/
- Twitter: https://twitter.com/PalletsTeam
- Chat: https://discord.gg/pallets

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Copyright 2010 Pallets
This logo or a modified version may be used by anyone to refer to the
Flask project, but does not indicate endorsement by the project.
Redistribution and use in source (SVG) and binary (renders in PNG, etc.)
forms, with or without modification, are permitted provided that the
following conditions are met:
1. Redistributions of source code must retain the above copyright
notice and this list of conditions.
2. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
We would appreciate that you make the image a link to
https://palletsprojects.com/p/flask/ if you use it in a medium that
supports links.

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@ -0,0 +1,46 @@
Foreword for Experienced Programmers
====================================
Thread-Locals in Flask
----------------------
One of the design decisions in Flask was that simple tasks should be simple;
they should not take a lot of code and yet they should not limit you. Because
of that, Flask has a few design choices that some people might find
surprising or unorthodox. For example, Flask uses thread-local objects
internally so that you dont have to pass objects around from
function to function within a request in order to stay threadsafe.
This approach is convenient, but requires a valid
request context for dependency injection or when attempting to reuse code which
uses a value pegged to the request. The Flask project is honest about
thread-locals, does not hide them, and calls out in the code and documentation
where they are used.
Develop for the Web with Caution
--------------------------------
Always keep security in mind when building web applications.
If you write a web application, you are probably allowing users to register
and leave their data on your server. The users are entrusting you with data.
And even if you are the only user that might leave data in your application,
you still want that data to be stored securely.
Unfortunately, there are many ways the security of a web application can be
compromised. Flask protects you against one of the most common security
problems of modern web applications: cross-site scripting (XSS). Unless you
deliberately mark insecure HTML as secure, Flask and the underlying Jinja2
template engine have you covered. But there are many more ways to cause
security problems.
The documentation will warn you about aspects of web development that require
attention to security. Some of these security concerns are far more complex
than one might think, and we all sometimes underestimate the likelihood that a
vulnerability will be exploited - until a clever attacker figures out a way to
exploit our applications. And don't think that your application is not
important enough to attract an attacker. Depending on the kind of attack,
chances are that automated bots are probing for ways to fill your database with
spam, links to malicious software, and the like.
Flask is no different from any other framework in that you the developer must
build with caution, watching for exploits when building to your requirements.

View file

@ -3,7 +3,7 @@ API
.. module:: flask .. module:: flask
This part of the documentation covers all the interfaces of Flask. For This part of the documentation covers all the interfaces of Flask. For
parts where Flask depends on external libraries, we document the most parts where Flask depends on external libraries, we document the most
important right here and provide links to the canonical documentation. important right here and provide links to the canonical documentation.
@ -31,15 +31,17 @@ Incoming Request Data
:inherited-members: :inherited-members:
:exclude-members: json_module :exclude-members: json_module
.. data:: request .. attribute:: request
A proxy to the request data for the current request, an instance of To access incoming request data, you can use the global `request`
:class:`.Request`. object. Flask parses incoming request data for you and gives you
access to it through that global object. Internally Flask makes
sure that you always get the correct data for the active thread if you
are in a multithreaded environment.
This is only available when a :doc:`request context </appcontext>` is This is a proxy. See :ref:`notes-on-proxies` for more information.
active.
This is a proxy. See :ref:`context-visibility` for more information. The request object is an instance of a :class:`~flask.Request`.
Response Objects Response Objects
@ -60,33 +62,40 @@ does this is by using a signed cookie. The user can look at the session
contents, but can't modify it unless they know the secret key, so make sure to contents, but can't modify it unless they know the secret key, so make sure to
set that to something complex and unguessable. set that to something complex and unguessable.
To access the current session you can use the :data:`.session` proxy. To access the current session you can use the :class:`session` object:
.. data:: session .. class:: session
A proxy to the session data for the current request, an instance of The session object works pretty much like an ordinary dict, with the
:class:`.SessionMixin`. difference that it keeps track of modifications.
This is only available when a :doc:`request context </appcontext>` is This is a proxy. See :ref:`notes-on-proxies` for more information.
active.
This is a proxy. See :ref:`context-visibility` for more information. The following attributes are interesting:
The session object works like a dict but tracks assignment and access to its .. attribute:: new
keys. It cannot track modifications to mutable values, you need to set
:attr:`~.SessionMixin.modified` manually when modifying a list, dict, etc.
.. code-block:: python ``True`` if the session is new, ``False`` otherwise.
# appending to a list is not detected .. attribute:: modified
session["numbers"].append(42)
``True`` if the session object detected a modification. Be advised
that modifications on mutable structures are not picked up
automatically, in that situation you have to explicitly set the
attribute to ``True`` yourself. Here an example::
# this change is not picked up because a mutable object (here
# a list) is changed.
session['objects'].append(42)
# so mark it as modified yourself # so mark it as modified yourself
session.modified = True session.modified = True
The session is persisted across requests using a cookie. By default the .. attribute:: permanent
users's browser will clear the cookie when it is closed. Set
:attr:`~.SessionMixin.permanent` to ``True`` to persist the cookie for If set to ``True`` the session lives for
:data:`PERMANENT_SESSION_LIFETIME`. :attr:`~flask.Flask.permanent_session_lifetime` seconds. The
default is 31 days. If set to ``False`` (which is the default) the
session will be deleted when the user closes the browser.
Session Interface Session Interface
@ -116,9 +125,10 @@ implementation that Flask is using.
.. admonition:: Notice .. admonition:: Notice
The :data:`PERMANENT_SESSION_LIFETIME` config can be an integer or ``timedelta``. The ``PERMANENT_SESSION_LIFETIME`` config key can also be an integer
The :attr:`~flask.Flask.permanent_session_lifetime` attribute is always a starting with Flask 0.8. Either catch this down yourself or use
``timedelta``. the :attr:`~flask.Flask.permanent_session_lifetime` attribute on the
app which converts the result to an integer automatically.
Test Client Test Client
@ -146,24 +156,23 @@ Application Globals
To share data that is valid for one request only from one function to To share data that is valid for one request only from one function to
another, a global variable is not good enough because it would break in another, a global variable is not good enough because it would break in
threaded environments. Flask provides you with a special object that threaded environments. Flask provides you with a special object that
ensures it is only valid for the active request and that will return ensures it is only valid for the active request and that will return
different values for each request. In a nutshell: it does the right different values for each request. In a nutshell: it does the right
thing, like it does for :data:`.request` and :data:`.session`. thing, like it does for :class:`request` and :class:`session`.
.. data:: g .. data:: g
A proxy to a namespace object used to store data during a single request or A namespace object that can store data during an
app context. An instance of :attr:`.Flask.app_ctx_globals_class`, which :doc:`application context </appcontext>`. This is an instance of
defaults to :class:`._AppCtxGlobals`. :attr:`Flask.app_ctx_globals_class`, which defaults to
:class:`ctx._AppCtxGlobals`.
This is a good place to store resources during a request. For example, a This is a good place to store resources during a request. During
:meth:`~.Flask.before_request` function could load a user object from a testing, you can use the :ref:`faking-resources` pattern to
session id, then set ``g.user`` to be used in the view function. pre-configure such resources.
This is only available when an :doc:`app context </appcontext>` is active. This is a proxy. See :ref:`notes-on-proxies` for more information.
This is a proxy. See :ref:`context-visibility` for more information.
.. versionchanged:: 0.10 .. versionchanged:: 0.10
Bound to the application context instead of the request context. Bound to the application context instead of the request context.
@ -177,16 +186,17 @@ Useful Functions and Classes
.. data:: current_app .. data:: current_app
A proxy to the :class:`.Flask` application handling the current request or A proxy to the application handling the current request. This is
other activity. useful to access the application without needing to import it, or if
it can't be imported, such as when using the application factory
pattern or in blueprints and extensions.
This is useful to access the application without needing to import it, or if This is only available when an
it can't be imported, such as when using the application factory pattern or :doc:`application context </appcontext>` is pushed. This happens
in blueprints and extensions. automatically during requests and CLI commands. It can be controlled
manually with :meth:`~flask.Flask.app_context`.
This is only available when an :doc:`app context </appcontext>` is active. This is a proxy. See :ref:`notes-on-proxies` for more information.
This is a proxy. See :ref:`context-visibility` for more information.
.. autofunction:: has_request_context .. autofunction:: has_request_context
@ -208,6 +218,12 @@ Useful Functions and Classes
.. autofunction:: send_from_directory .. autofunction:: send_from_directory
.. autofunction:: safe_join
.. autofunction:: escape
.. autoclass:: Markup
:members: escape, unescape, striptags
Message Flashing Message Flashing
---------------- ----------------
@ -222,20 +238,26 @@ JSON Support
.. module:: flask.json .. module:: flask.json
Flask uses Python's built-in :mod:`json` module for handling JSON by Flask uses the built-in :mod:`json` module for handling JSON. It will
default. The JSON implementation can be changed by assigning a different use the current blueprint's or application's JSON encoder and decoder
provider to :attr:`flask.Flask.json_provider_class` or for easier customization. By default it handles some extra data types:
:attr:`flask.Flask.json`. The functions provided by ``flask.json`` will
use methods on ``app.json`` if an app context is active.
Jinja's ``|tojson`` filter is configured to use the app's JSON provider. - :class:`datetime.datetime` and :class:`datetime.date` are serialized
The filter marks the output with ``|safe``. Use it to render data inside to :rfc:`822` strings. This is the same as the HTTP date format.
HTML ``<script>`` tags. - :class:`uuid.UUID` is serialized to a string.
- :class:`dataclasses.dataclass` is passed to
:func:`dataclasses.asdict`.
- :class:`~markupsafe.Markup` (or any object with a ``__html__``
method) will call the ``__html__`` method to get a string.
Jinja's ``|tojson`` filter is configured to use Flask's :func:`dumps`
function. The filter marks the output with ``|safe`` automatically. Use
the filter to render data inside ``<script>`` tags.
.. sourcecode:: html+jinja .. sourcecode:: html+jinja
<script> <script>
const names = {{ names|tojson }}; const names = {{ names|tosjon }};
renderChart(names, {{ axis_data|tojson }}); renderChart(names, {{ axis_data|tojson }});
</script> </script>
@ -249,13 +271,11 @@ HTML ``<script>`` tags.
.. autofunction:: load .. autofunction:: load
.. autoclass:: flask.json.provider.JSONProvider .. autoclass:: JSONEncoder
:members: :members:
:member-order: bysource
.. autoclass:: flask.json.provider.DefaultJSONProvider .. autoclass:: JSONDecoder
:members: :members:
:member-order: bysource
.. automodule:: flask.json.tag .. automodule:: flask.json.tag
@ -269,10 +289,6 @@ Template Rendering
.. autofunction:: render_template_string .. autofunction:: render_template_string
.. autofunction:: stream_template
.. autofunction:: stream_template_string
.. autofunction:: get_template_attribute .. autofunction:: get_template_attribute
Configuration Configuration
@ -290,31 +306,59 @@ Stream Helpers
Useful Internals Useful Internals
---------------- ----------------
.. autoclass:: flask.ctx.RequestContext
:members:
.. data:: _request_ctx_stack
The internal :class:`~werkzeug.local.LocalStack` that holds
:class:`~flask.ctx.RequestContext` instances. Typically, the
:data:`request` and :data:`session` proxies should be accessed
instead of the stack. It may be useful to access the stack in
extension code.
The following attributes are always present on each layer of the
stack:
`app`
the active Flask application.
`url_adapter`
the URL adapter that was used to match the request.
`request`
the current request object.
`session`
the active session object.
`g`
an object with all the attributes of the :data:`flask.g` object.
`flashes`
an internal cache for the flashed messages.
Example usage::
from flask import _request_ctx_stack
def get_session():
ctx = _request_ctx_stack.top
if ctx is not None:
return ctx.session
.. autoclass:: flask.ctx.AppContext .. autoclass:: flask.ctx.AppContext
:members: :members:
.. data:: flask.globals.app_ctx .. data:: _app_ctx_stack
A proxy to the active :class:`.AppContext`. The internal :class:`~werkzeug.local.LocalStack` that holds
:class:`~flask.ctx.AppContext` instances. Typically, the
:data:`current_app` and :data:`g` proxies should be accessed instead
of the stack. Extensions can access the contexts on the stack as a
namespace to store data.
This is an internal object that is essential to how Flask handles requests. .. versionadded:: 0.9
Accessing this should not be needed in most cases. Most likely you want
:data:`.current_app`, :data:`.g`, :data:`.request`, and :data:`.session` instead.
This is only available when a :doc:`request context </appcontext>` is
active.
This is a proxy. See :ref:`context-visibility` for more information.
.. class:: flask.ctx.RequestContext
.. deprecated:: 3.2
Merged with :class:`AppContext`. This alias will be removed in Flask 4.0.
.. data:: flask.globals.request_ctx
.. deprecated:: 3.2
Merged with :data:`.app_ctx`. This alias will be removed in Flask 4.0.
.. autoclass:: flask.blueprints.BlueprintSetupState .. autoclass:: flask.blueprints.BlueprintSetupState
:members: :members:
@ -324,13 +368,18 @@ Useful Internals
Signals Signals
------- -------
Signals are provided by the `Blinker`_ library. See :doc:`signals` for an introduction. .. versionadded:: 0.6
.. _blinker: https://blinker.readthedocs.io/ .. data:: signals.signals_available
``True`` if the signaling system is available. This is the case
when `blinker`_ is installed.
The following signals exist in Flask:
.. data:: template_rendered .. data:: template_rendered
This signal is sent when a template was successfully rendered. The This signal is sent when a template was successfully rendered. The
signal is invoked with the instance of the template as `template` signal is invoked with the instance of the template as `template`
and the context as dictionary (named `context`). and the context as dictionary (named `context`).
@ -364,7 +413,7 @@ Signals are provided by the `Blinker`_ library. See :doc:`signals` for an introd
.. data:: request_started .. data:: request_started
This signal is sent when the request context is set up, before This signal is sent when the request context is set up, before
any request processing happens. Because the request context is already any request processing happens. Because the request context is already
bound, the subscriber can access the request with the standard global bound, the subscriber can access the request with the standard global
proxies such as :class:`~flask.request`. proxies such as :class:`~flask.request`.
@ -384,7 +433,7 @@ Signals are provided by the `Blinker`_ library. See :doc:`signals` for an introd
Example subscriber:: Example subscriber::
def log_response(sender, response, **extra): def log_response(sender, response, **extra):
sender.logger.debug('Request context is about to close down. ' sender.logger.debug('Request context is about to close down. '
'Response: %s', response) 'Response: %s', response)
from flask import request_finished from flask import request_finished
@ -421,8 +470,8 @@ Signals are provided by the `Blinker`_ library. See :doc:`signals` for an introd
.. data:: request_tearing_down .. data:: request_tearing_down
This signal is sent when the request is tearing down. This is always This signal is sent when the request is tearing down. This is always
called, even if an exception is caused. Currently functions listening called, even if an exception is caused. Currently functions listening
to this signal are called after the regular teardown handlers, but this to this signal are called after the regular teardown handlers, but this
is not something you can rely on. is not something you can rely on.
@ -440,8 +489,8 @@ Signals are provided by the `Blinker`_ library. See :doc:`signals` for an introd
.. data:: appcontext_tearing_down .. data:: appcontext_tearing_down
This signal is sent when the app context is tearing down. This is always This signal is sent when the app context is tearing down. This is always
called, even if an exception is caused. Currently functions listening called, even if an exception is caused. Currently functions listening
to this signal are called after the regular teardown handlers, but this to this signal are called after the regular teardown handlers, but this
is not something you can rely on. is not something you can rely on.
@ -458,9 +507,9 @@ Signals are provided by the `Blinker`_ library. See :doc:`signals` for an introd
.. data:: appcontext_pushed .. data:: appcontext_pushed
This signal is sent when an application context is pushed. The sender This signal is sent when an application context is pushed. The sender
is the application. This is usually useful for unittests in order to is the application. This is usually useful for unittests in order to
temporarily hook in information. For instance it can be used to temporarily hook in information. For instance it can be used to
set a resource early onto the `g` object. set a resource early onto the `g` object.
Example usage:: Example usage::
@ -487,15 +536,16 @@ Signals are provided by the `Blinker`_ library. See :doc:`signals` for an introd
.. data:: appcontext_popped .. data:: appcontext_popped
This signal is sent when an application context is popped. The sender This signal is sent when an application context is popped. The sender
is the application. This usually falls in line with the is the application. This usually falls in line with the
:data:`appcontext_tearing_down` signal. :data:`appcontext_tearing_down` signal.
.. versionadded:: 0.10 .. versionadded:: 0.10
.. data:: message_flashed .. data:: message_flashed
This signal is sent when the application is flashing a message. The This signal is sent when the application is flashing a message. The
messages is sent as `message` keyword argument and the category as messages is sent as `message` keyword argument and the category as
`category`. `category`.
@ -510,6 +560,23 @@ Signals are provided by the `Blinker`_ library. See :doc:`signals` for an introd
.. versionadded:: 0.10 .. versionadded:: 0.10
.. class:: signals.Namespace
An alias for :class:`blinker.base.Namespace` if blinker is available,
otherwise a dummy class that creates fake signals. This class is
available for Flask extensions that want to provide the same fallback
system as Flask itself.
.. method:: signal(name, doc=None)
Creates a new signal for this namespace if blinker is available,
otherwise returns a fake signal that has a send method that will
do nothing but will fail with a :exc:`RuntimeError` for all other
operations, including connecting.
.. _blinker: https://pypi.org/project/blinker/
Class-Based Views Class-Based Views
----------------- -----------------
@ -537,7 +604,7 @@ Generally there are three ways to define rules for the routing system:
which is exposed as :attr:`flask.Flask.url_map`. which is exposed as :attr:`flask.Flask.url_map`.
Variable parts in the route can be specified with angular brackets Variable parts in the route can be specified with angular brackets
(``/user/<username>``). By default a variable part in the URL accepts any (``/user/<username>``). By default a variable part in the URL accepts any
string without a slash however a different converter can be specified as string without a slash however a different converter can be specified as
well by using ``<converter:name>``. well by using ``<converter:name>``.
@ -571,7 +638,7 @@ Here are some examples::
pass pass
An important detail to keep in mind is how Flask deals with trailing An important detail to keep in mind is how Flask deals with trailing
slashes. The idea is to keep each URL unique so the following rules slashes. The idea is to keep each URL unique so the following rules
apply: apply:
1. If a rule ends with a slash and is requested without a slash by the 1. If a rule ends with a slash and is requested without a slash by the
@ -580,11 +647,11 @@ apply:
2. If a rule does not end with a trailing slash and the user requests the 2. If a rule does not end with a trailing slash and the user requests the
page with a trailing slash, a 404 not found is raised. page with a trailing slash, a 404 not found is raised.
This is consistent with how web servers deal with static files. This This is consistent with how web servers deal with static files. This
also makes it possible to use relative link targets safely. also makes it possible to use relative link targets safely.
You can also define multiple rules for the same function. They have to be You can also define multiple rules for the same function. They have to be
unique however. Defaults can also be specified. Here for example is a unique however. Defaults can also be specified. Here for example is a
definition for a URL that accepts an optional page:: definition for a URL that accepts an optional page::
@app.route('/users/', defaults={'page': 1}) @app.route('/users/', defaults={'page': 1})
@ -596,7 +663,7 @@ This specifies that ``/users/`` will be the URL for page one and
``/users/page/N`` will be the URL for page ``N``. ``/users/page/N`` will be the URL for page ``N``.
If a URL contains a default value, it will be redirected to its simpler If a URL contains a default value, it will be redirected to its simpler
form with a 308 redirect. In the above example, ``/users/page/1`` will form with a 301 redirect. In the above example, ``/users/page/1`` will
be redirected to ``/users/``. If your route handles ``GET`` and ``POST`` be redirected to ``/users/``. If your route handles ``GET`` and ``POST``
requests, make sure the default route only handles ``GET``, as redirects requests, make sure the default route only handles ``GET``, as redirects
can't preserve form data. :: can't preserve form data. ::
@ -607,33 +674,33 @@ can't preserve form data. ::
pass pass
Here are the parameters that :meth:`~flask.Flask.route` and Here are the parameters that :meth:`~flask.Flask.route` and
:meth:`~flask.Flask.add_url_rule` accept. The only difference is that :meth:`~flask.Flask.add_url_rule` accept. The only difference is that
with the route parameter the view function is defined with the decorator with the route parameter the view function is defined with the decorator
instead of the `view_func` parameter. instead of the `view_func` parameter.
=============== ========================================================== =============== ==========================================================
`rule` the URL rule as string `rule` the URL rule as string
`endpoint` the endpoint for the registered URL rule. Flask itself `endpoint` the endpoint for the registered URL rule. Flask itself
assumes that the name of the view function is the name assumes that the name of the view function is the name
of the endpoint if not explicitly stated. of the endpoint if not explicitly stated.
`view_func` the function to call when serving a request to the `view_func` the function to call when serving a request to the
provided endpoint. If this is not provided one can provided endpoint. If this is not provided one can
specify the function later by storing it in the specify the function later by storing it in the
:attr:`~flask.Flask.view_functions` dictionary with the :attr:`~flask.Flask.view_functions` dictionary with the
endpoint as key. endpoint as key.
`defaults` A dictionary with defaults for this rule. See the `defaults` A dictionary with defaults for this rule. See the
example above for how defaults work. example above for how defaults work.
`subdomain` specifies the rule for the subdomain in case subdomain `subdomain` specifies the rule for the subdomain in case subdomain
matching is in use. If not specified the default matching is in use. If not specified the default
subdomain is assumed. subdomain is assumed.
`**options` the options to be forwarded to the underlying `**options` the options to be forwarded to the underlying
:class:`~werkzeug.routing.Rule` object. A change to :class:`~werkzeug.routing.Rule` object. A change to
Werkzeug is handling of method options. methods is a list Werkzeug is handling of method options. methods is a list
of methods this rule should be limited to (``GET``, ``POST`` of methods this rule should be limited to (``GET``, ``POST``
etc.). By default a rule just listens for ``GET`` (and etc.). By default a rule just listens for ``GET`` (and
implicitly ``HEAD``). Starting with Flask 0.6, ``OPTIONS`` is implicitly ``HEAD``). Starting with Flask 0.6, ``OPTIONS`` is
implicitly added and handled by the standard request implicitly added and handled by the standard request
handling. They have to be specified as keyword arguments. handling. They have to be specified as keyword arguments.
=============== ========================================================== =============== ==========================================================
@ -645,19 +712,19 @@ customize behavior the view function would normally not have control over.
The following attributes can be provided optionally to either override The following attributes can be provided optionally to either override
some defaults to :meth:`~flask.Flask.add_url_rule` or general behavior: some defaults to :meth:`~flask.Flask.add_url_rule` or general behavior:
- `__name__`: The name of a function is by default used as endpoint. If - `__name__`: The name of a function is by default used as endpoint. If
endpoint is provided explicitly this value is used. Additionally this endpoint is provided explicitly this value is used. Additionally this
will be prefixed with the name of the blueprint by default which will be prefixed with the name of the blueprint by default which
cannot be customized from the function itself. cannot be customized from the function itself.
- `methods`: If methods are not provided when the URL rule is added, - `methods`: If methods are not provided when the URL rule is added,
Flask will look on the view function object itself if a `methods` Flask will look on the view function object itself if a `methods`
attribute exists. If it does, it will pull the information for the attribute exists. If it does, it will pull the information for the
methods from there. methods from there.
- `provide_automatic_options`: if this attribute is set Flask will - `provide_automatic_options`: if this attribute is set Flask will
either force enable or disable the automatic implementation of the either force enable or disable the automatic implementation of the
HTTP ``OPTIONS`` response. This can be useful when working with HTTP ``OPTIONS`` response. This can be useful when working with
decorators that want to customize the ``OPTIONS`` response on a per-view decorators that want to customize the ``OPTIONS`` response on a per-view
basis. basis.

View file

@ -1,63 +1,74 @@
The App and Request Context .. currentmodule:: flask
===========================
The context keeps track of data and objects during a request, CLI command, or The Application Context
other activity. Rather than passing this data around to every function, the =======================
:data:`.current_app`, :data:`.g`, :data:`.request`, and :data:`.session` proxies
are accessed instead.
When handling a request, the context is referred to as the "request context" The application context keeps track of the application-level data during
because it contains request data in addition to application data. Otherwise, a request, CLI command, or other activity. Rather than passing the
such as during a CLI command, it is referred to as the "app context". During an application around to each function, the :data:`current_app` and
app context, :data:`.current_app` and :data:`.g` are available, while during a :data:`g` proxies are accessed instead.
request context :data:`.request` and :data:`.session` are also available.
This is similar to :doc:`/reqcontext`, which keeps track of
request-level data during a request. A corresponding application context
is pushed when a request context is pushed.
Purpose of the Context Purpose of the Context
---------------------- ----------------------
The context and proxies help solve two development issues: circular imports, and The :class:`Flask` application object has attributes, such as
passing around global data during a request. :attr:`~Flask.config`, that are useful to access within views and
:doc:`CLI commands </cli>`. However, importing the ``app`` instance
within the modules in your project is prone to circular import issues.
When using the :doc:`app factory pattern </patterns/appfactories>` or
writing reusable :doc:`blueprints </blueprints>` or
:doc:`extensions </extensions>` there won't be an ``app`` instance to
import at all.
The :class:`.Flask` application object has attributes, such as Flask solves this issue with the *application context*. Rather than
:attr:`~.Flask.config`, that are useful to access within views and other referring to an ``app`` directly, you use the :data:`current_app`
functions. However, importing the ``app`` instance within the modules in your proxy, which points to the application handling the current activity.
project is prone to circular import issues. When using the
:doc:`app factory pattern </patterns/appfactories>` or writing reusable
:doc:`blueprints </blueprints>` or :doc:`extensions </extensions>` there won't
be an ``app`` instance to import at all.
When the application handles a request, it creates a :class:`.Request` object. Flask automatically *pushes* an application context when handling a
Because a *worker* handles only one request at a time, the request data can be request. View functions, error handlers, and other functions that run
considered global to that worker during that request. Passing it as an argument during a request will have access to :data:`current_app`.
through every function during the request becomes verbose and redundant.
Flask solves these issues with the *active context* pattern. Rather than Flask will also automatically push an app context when running CLI
importing an ``app`` directly, or having to pass it and the request through to commands registered with :attr:`Flask.cli` using ``@app.cli.command()``.
every single function, you import and access the proxies, which point to the
currently active application and request data. This is sometimes referred to
as "context local" data.
Context During Setup Lifetime of the Context
-------------------- -----------------------
If you try to access :data:`.current_app`, :data:`.g`, or anything that uses it, The application context is created and destroyed as necessary. When a
outside an app context, you'll get this error message: Flask application begins handling a request, it pushes an application
context and a :doc:`request context </reqcontext>`. When the request
ends it pops the request context then the application context.
Typically, an application context will have the same lifetime as a
request.
See :doc:`/reqcontext` for more information about how the contexts work
and the full life cycle of a request.
Manually Push a Context
-----------------------
If you try to access :data:`current_app`, or anything that uses it,
outside an application context, you'll get this error message:
.. code-block:: pytb .. code-block:: pytb
RuntimeError: Working outside of application context. RuntimeError: Working outside of application context.
Attempted to use functionality that expected a current application to be This typically means that you attempted to use functionality that
set. To solve this, set up an app context using 'with app.app_context()'. needed to interface with the current application object in some way.
See the documentation on app context for more information. To solve this, set up an application context with app.app_context().
If you see that error while configuring your application, such as when If you see that error while configuring your application, such as when
initializing an extension, you can push a context manually since you have direct initializing an extension, you can push a context manually since you
access to the ``app``. Use :meth:`.Flask.app_context` in a ``with`` block. have direct access to the ``app``. Use :meth:`~Flask.app_context` in a
``with`` block, and everything that runs in the block will have access
.. code-block:: python to :data:`current_app`. ::
def create_app(): def create_app():
app = Flask(__name__) app = Flask(__name__)
@ -67,121 +78,80 @@ access to the ``app``. Use :meth:`.Flask.app_context` in a ``with`` block.
return app return app
If you see that error somewhere else in your code not related to setting up the If you see that error somewhere else in your code not related to
application, it most likely indicates that you should move that code into a view configuring the application, it most likely indicates that you should
function or CLI command. move that code into a view function or CLI command.
Context During Testing Storing Data
---------------------- ------------
See :doc:`/testing` for detailed information about managing the context during The application context is a good place to store common data during a
tests. request or CLI command. Flask provides the :data:`g object <g>` for this
purpose. It is a simple namespace object that has the same lifetime as
an application context.
If you try to access :data:`.request`, :data:`.session`, or anything that uses .. note::
it, outside a request context, you'll get this error message: The ``g`` name stands for "global", but that is referring to the
data being global *within a context*. The data on ``g`` is lost
after the context ends, and it is not an appropriate place to store
data between requests. Use the :data:`session` or a database to
store data across requests.
.. code-block:: pytb A common use for :data:`g` is to manage resources during a request.
RuntimeError: Working outside of request context. 1. ``get_X()`` creates resource ``X`` if it does not exist, caching it
as ``g.X``.
2. ``teardown_X()`` closes or otherwise deallocates the resource if it
exists. It is registered as a :meth:`~Flask.teardown_appcontext`
handler.
Attempted to use functionality that expected an active HTTP request. See the For example, you can manage a database connection using this pattern::
documentation on request context for more information.
This will probably only happen during tests. If you see that error somewhere from flask import g
else in your code not related to testing, it most likely indicates that you
should move that code into a view function.
The primary way to solve this is to use :meth:`.Flask.test_client` to simulate def get_db():
a full request. if 'db' not in g:
g.db = connect_to_database()
If you only want to unit test one function, rather than a full request, use return g.db
:meth:`.Flask.test_request_context` in a ``with`` block.
.. code-block:: python @app.teardown_appcontext
def teardown_db(exception):
db = g.pop('db', None)
def generate_report(year): if db is not None:
format = request.args.get("format") db.close()
...
with app.test_request_context( During a request, every call to ``get_db()`` will return the same
"/make_report/2017", query_string={"format": "short"} connection, and it will be closed automatically at the end of the
): request.
generate_report()
You can use :class:`~werkzeug.local.LocalProxy` to make a new context
local from ``get_db()``::
from werkzeug.local import LocalProxy
db = LocalProxy(get_db)
Accessing ``db`` will call ``get_db`` internally, in the same way that
:data:`current_app` works.
----
If you're writing an extension, :data:`g` should be reserved for user
code. You may store internal data on the context itself, but be sure to
use a sufficiently unique name. The current context is accessed with
:data:`_app_ctx_stack.top <_app_ctx_stack>`. For more information see
:doc:`/extensiondev`.
.. _context-visibility: Events and Signals
------------------
Visibility of the Context The application will call functions registered with
------------------------- :meth:`~Flask.teardown_appcontext` when the application context is
popped.
The context will have the same lifetime as an activity, such as a request, CLI If :data:`~signals.signals_available` is true, the following signals are
command, or ``with`` block. Various callbacks and signals registered with the sent: :data:`appcontext_pushed`, :data:`appcontext_tearing_down`, and
app will be run during the context. :data:`appcontext_popped`.
When a Flask application handles a request, it pushes a request context
to set the active application and request data. When it handles a CLI command,
it pushes an app context to set the active application. When the activity ends,
it pops that context. Proxy objects like :data:`.request`, :data:`.session`,
:data:`.g`, and :data:`.current_app`, are accessible while the context is pushed
and active, and are not accessible after the context is popped.
The context is unique to each thread (or other worker type). The proxies cannot
be passed to another worker, which has a different context space and will not
know about the active context in the parent's space.
Besides being scoped to each worker, the proxy object has a separate type and
identity than the proxied real object. In some cases you'll need access to the
real object, rather than the proxy. Use the
:meth:`~.LocalProxy._get_current_object` method in those cases.
.. code-block:: python
app = current_app._get_current_object()
my_signal.send(app)
Lifecycle of the Context
------------------------
Flask dispatches a request in multiple stages which can affect the request,
response, and how errors are handled. See :doc:`/lifecycle` for a list of all
the steps, callbacks, and signals during each request. The following are the
steps directly related to the context.
- The app context is pushed, the proxies are available.
- The :data:`.appcontext_pushed` signal is sent.
- The request is dispatched.
- Any :meth:`.Flask.teardown_request` decorated functions are called.
- The :data:`.request_tearing_down` signal is sent.
- Any :meth:`.Flask.teardown_appcontext` decorated functions are called.
- The :data:`.appcontext_tearing_down` signal is sent.
- The app context is popped, the proxies are no longer available.
- The :data:`.appcontext_popped` signal is sent.
The teardown callbacks are called by the context when it is popped. They are
called even if there is an unhandled exception during dispatch. They may be
called multiple times in some test scenarios. This means there is no guarantee
that any other parts of the request dispatch have run. Be sure to write these
functions in a way that does not depend on other callbacks. All callbacks are
called even if any raise an error.
How the Context Works
---------------------
Context locals are implemented using Python's :mod:`contextvars` and Werkzeug's
:class:`~werkzeug.local.LocalProxy`. Python's contextvars are a low level
structure to manage data local to a thread or coroutine. ``LocalProxy`` wraps
the contextvar so that access to any attributes and methods is forwarded to the
object stored in the contextvar.
The context is tracked like a stack, with the active context at the top of the
stack. Flask manages pushing and popping contexts during requests, CLI commands,
testing, ``with`` blocks, etc. The proxies access attributes on the active
context.
Because it is a stack, other contexts may be pushed to change the proxies during
an already active context. This is not a common pattern, but can be used in
advanced use cases. For example, a Flask application can be used as WSGI
middleware, calling another wrapped Flask app from a view.

View file

@ -7,7 +7,8 @@ Using ``async`` and ``await``
Routes, error handlers, before request, after request, and teardown Routes, error handlers, before request, after request, and teardown
functions can all be coroutine functions if Flask is installed with the functions can all be coroutine functions if Flask is installed with the
``async`` extra (``pip install flask[async]``). This allows views to be ``async`` extra (``pip install flask[async]``). It requires Python 3.7+
where ``contextvars.ContextVar`` is available. This allows views to be
defined with ``async def`` and use ``await``. defined with ``async def`` and use ``await``.
.. code-block:: python .. code-block:: python
@ -23,6 +24,12 @@ method in views that inherit from the :class:`flask.views.View` class, as
well as all the HTTP method handlers in views that inherit from the well as all the HTTP method handlers in views that inherit from the
:class:`flask.views.MethodView` class. :class:`flask.views.MethodView` class.
.. admonition:: Using ``async`` on Windows on Python 3.8
Python 3.8 has a bug related to asyncio on Windows. If you encounter
something like ``ValueError: set_wakeup_fd only works in main thread``,
please upgrade to Python 3.9.
Performance Performance
----------- -----------
@ -58,8 +65,8 @@ If you wish to use background tasks it is best to use a task queue to
trigger background work, rather than spawn tasks in a view trigger background work, rather than spawn tasks in a view
function. With that in mind you can spawn asyncio tasks by serving function. With that in mind you can spawn asyncio tasks by serving
Flask with an ASGI server and utilising the asgiref WsgiToAsgi adapter Flask with an ASGI server and utilising the asgiref WsgiToAsgi adapter
as described in :doc:`deploying/asgi`. This works as the adapter creates as described in :ref:`asgi`. This works as the adapter creates an
an event loop that runs continually. event loop that runs continually.
When to use Quart instead When to use Quart instead
@ -72,15 +79,15 @@ Flask based on the `ASGI`_ standard instead of WSGI. This allows it to
handle many concurrent requests, long running requests, and websockets handle many concurrent requests, long running requests, and websockets
without requiring multiple worker processes or threads. without requiring multiple worker processes or threads.
It has also already been possible to :doc:`run Flask with Gevent </gevent>` to It has also already been possible to run Flask with Gevent or Eventlet
get many of the benefits of async request handling. Gevent patches low-level to get many of the benefits of async request handling. These libraries
Python functions to accomplish this, whereas ``async``/``await`` and ASGI use patch low-level Python functions to accomplish this, whereas ``async``/
standard, modern Python capabilities. Deciding whether you should use gevent ``await`` and ASGI use standard, modern Python capabilities. Deciding
with Flask, or Quart, or something else is ultimately up to understanding the whether you should use Flask, Quart, or something else is ultimately up
specific needs of your project. to understanding the specific needs of your project.
.. _Quart: https://quart.palletsprojects.com .. _Quart: https://gitlab.com/pgjones/quart
.. _ASGI: https://asgi.readthedocs.io .. _ASGI: https://asgi.readthedocs.io/en/latest/
Extensions Extensions
@ -114,6 +121,6 @@ implemented async support, or make a feature request or PR to them.
Other event loops Other event loops
----------------- -----------------
At the moment Flask only supports :mod:`asyncio`. It's possible to override At the moment Flask only supports :mod:`asyncio`. It's possible to
:meth:`flask.Flask.ensure_sync` to change how async functions are wrapped to use override :meth:`flask.Flask.ensure_sync` to change how async functions
a different library. See :ref:`gevent-asyncio` for an example. are wrapped to use a different library.

100
docs/becomingbig.rst Normal file
View file

@ -0,0 +1,100 @@
Becoming Big
============
Here are your options when growing your codebase or scaling your application.
Read the Source.
----------------
Flask started in part to demonstrate how to build your own framework on top of
existing well-used tools Werkzeug (WSGI) and Jinja (templating), and as it
developed, it became useful to a wide audience. As you grow your codebase,
don't just use Flask -- understand it. Read the source. Flask's code is
written to be read; its documentation is published so you can use its internal
APIs. Flask sticks to documented APIs in upstream libraries, and documents its
internal utilities so that you can find the hook points needed for your
project.
Hook. Extend.
-------------
The :doc:`/api` docs are full of available overrides, hook points, and
:doc:`/signals`. You can provide custom classes for things like the
request and response objects. Dig deeper on the APIs you use, and look
for the customizations which are available out of the box in a Flask
release. Look for ways in which your project can be refactored into a
collection of utilities and Flask extensions. Explore the many
:doc:`/extensions` in the community, and look for patterns to build your
own extensions if you do not find the tools you need.
Subclass.
---------
The :class:`~flask.Flask` class has many methods designed for subclassing. You
can quickly add or customize behavior by subclassing :class:`~flask.Flask` (see
the linked method docs) and using that subclass wherever you instantiate an
application class. This works well with :doc:`/patterns/appfactories`.
See :doc:`/patterns/subclassing` for an example.
Wrap with middleware.
---------------------
The :doc:`/patterns/appdispatch` pattern shows in detail how to apply middleware. You
can introduce WSGI middleware to wrap your Flask instances and introduce fixes
and changes at the layer between your Flask application and your HTTP
server. Werkzeug includes several `middlewares
<https://werkzeug.palletsprojects.com/middleware/>`_.
Fork.
-----
If none of the above options work, fork Flask. The majority of code of Flask
is within Werkzeug and Jinja2. These libraries do the majority of the work.
Flask is just the paste that glues those together. For every project there is
the point where the underlying framework gets in the way (due to assumptions
the original developers had). This is natural because if this would not be the
case, the framework would be a very complex system to begin with which causes a
steep learning curve and a lot of user frustration.
This is not unique to Flask. Many people use patched and modified
versions of their framework to counter shortcomings. This idea is also
reflected in the license of Flask. You don't have to contribute any
changes back if you decide to modify the framework.
The downside of forking is of course that Flask extensions will most
likely break because the new framework has a different import name.
Furthermore integrating upstream changes can be a complex process,
depending on the number of changes. Because of that, forking should be
the very last resort.
Scale like a pro.
-----------------
For many web applications the complexity of the code is less an issue than
the scaling for the number of users or data entries expected. Flask by
itself is only limited in terms of scaling by your application code, the
data store you want to use and the Python implementation and webserver you
are running on.
Scaling well means for example that if you double the amount of servers
you get about twice the performance. Scaling bad means that if you add a
new server the application won't perform any better or would not even
support a second server.
There is only one limiting factor regarding scaling in Flask which are
the context local proxies. They depend on context which in Flask is
defined as being either a thread, process or greenlet. If your server
uses some kind of concurrency that is not based on threads or greenlets,
Flask will no longer be able to support these global proxies. However the
majority of servers are using either threads, greenlets or separate
processes to achieve concurrency which are all methods well supported by
the underlying Werkzeug library.
Discuss with the community.
---------------------------
The Flask developers keep the framework accessible to users with codebases big
and small. If you find an obstacle in your way, caused by Flask, don't hesitate
to contact the developers on the mailing list or Discord server. The best way for
the Flask and Flask extension developers to improve the tools for larger
applications is getting feedback from users.

View file

@ -140,19 +140,6 @@ name, and child URLs will be prefixed with the parent's URL prefix.
url_for('parent.child.create') url_for('parent.child.create')
/parent/child/create /parent/child/create
In addition a child blueprint's will gain their parent's subdomain,
with their subdomain as prefix if present i.e.
.. code-block:: python
parent = Blueprint('parent', __name__, subdomain='parent')
child = Blueprint('child', __name__, subdomain='child')
parent.register_blueprint(child)
app.register_blueprint(parent)
url_for('parent.child.create', _external=True)
"child.parent.domain.tld"
Blueprint-specific before request functions, etc. registered with the Blueprint-specific before request functions, etc. registered with the
parent will trigger for the child. If a child does not have an error parent will trigger for the child. If a child does not have an error
handler that can handle a given exception, the parent's will be tried. handler that can handle a given exception, the parent's will be tried.

View file

@ -15,10 +15,33 @@ Application Discovery
--------------------- ---------------------
The ``flask`` command is installed by Flask, not your application; it must be The ``flask`` command is installed by Flask, not your application; it must be
told where to find your application in order to use it. The ``--app`` told where to find your application in order to use it. The ``FLASK_APP``
option is used to specify how to load the application. environment variable is used to specify how to load the application.
While ``--app`` supports a variety of options for specifying your .. tabs::
.. group-tab:: Bash
.. code-block:: text
$ export FLASK_APP=hello
$ flask run
.. group-tab:: CMD
.. code-block:: text
> set FLASK_APP=hello
> flask run
.. group-tab:: Powershell
.. code-block:: text
> $env:FLASK_APP = "hello"
> flask run
While ``FLASK_APP`` supports a variety of options for specifying your
application, most use cases should be simple. Here are the typical values: application, most use cases should be simple. Here are the typical values:
(nothing) (nothing)
@ -26,32 +49,32 @@ application, most use cases should be simple. Here are the typical values:
automatically detecting an app (``app`` or ``application``) or automatically detecting an app (``app`` or ``application``) or
factory (``create_app`` or ``make_app``). factory (``create_app`` or ``make_app``).
``--app hello`` ``FLASK_APP=hello``
The given name is imported, automatically detecting an app (``app`` The given name is imported, automatically detecting an app (``app``
or ``application``) or factory (``create_app`` or ``make_app``). or ``application``) or factory (``create_app`` or ``make_app``).
---- ----
``--app`` has three parts: an optional path that sets the current working ``FLASK_APP`` has three parts: an optional path that sets the current working
directory, a Python file or dotted import path, and an optional variable directory, a Python file or dotted import path, and an optional variable
name of the instance or factory. If the name is a factory, it can optionally name of the instance or factory. If the name is a factory, it can optionally
be followed by arguments in parentheses. The following values demonstrate these be followed by arguments in parentheses. The following values demonstrate these
parts: parts:
``--app src/hello`` ``FLASK_APP=src/hello``
Sets the current working directory to ``src`` then imports ``hello``. Sets the current working directory to ``src`` then imports ``hello``.
``--app hello.web`` ``FLASK_APP=hello.web``
Imports the path ``hello.web``. Imports the path ``hello.web``.
``--app hello:app2`` ``FLASK_APP=hello:app2``
Uses the ``app2`` Flask instance in ``hello``. Uses the ``app2`` Flask instance in ``hello``.
``--app 'hello:create_app("dev")'`` ``FLASK_APP="hello:create_app('dev')"``
The ``create_app`` factory in ``hello`` is called with the string ``'dev'`` The ``create_app`` factory in ``hello`` is called with the string ``'dev'``
as the argument. as the argument.
If ``--app`` is not set, the command will try to import "app" or If ``FLASK_APP`` is not set, the command will try to import "app" or
"wsgi" (as a ".py" file, or package) and try to detect an application "wsgi" (as a ".py" file, or package) and try to detect an application
instance or factory. instance or factory.
@ -71,7 +94,7 @@ Run the Development Server
The :func:`run <cli.run_command>` command will start the development server. It The :func:`run <cli.run_command>` command will start the development server. It
replaces the :meth:`Flask.run` method in most cases. :: replaces the :meth:`Flask.run` method in most cases. ::
$ flask --app hello run $ flask run
* Serving Flask app "hello" * Serving Flask app "hello"
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit) * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
@ -80,55 +103,6 @@ replaces the :meth:`Flask.run` method in most cases. ::
is provided for convenience, but is not designed to be particularly secure, is provided for convenience, but is not designed to be particularly secure,
stable, or efficient. See :doc:`/deploying/index` for how to run in production. stable, or efficient. See :doc:`/deploying/index` for how to run in production.
If another program is already using port 5000, you'll see
``OSError: [Errno 98]`` or ``OSError: [WinError 10013]`` when the
server tries to start. See :ref:`address-already-in-use` for how to
handle that.
Debug Mode
~~~~~~~~~~
In debug mode, the ``flask run`` command will enable the interactive debugger and the
reloader by default, and make errors easier to see and debug. To enable debug mode, use
the ``--debug`` option.
.. code-block:: console
$ flask --app hello run --debug
* Serving Flask app "hello"
* Debug mode: on
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
* Restarting with inotify reloader
* Debugger is active!
* Debugger PIN: 223-456-919
The ``--debug`` option can also be passed to the top level ``flask`` command to enable
debug mode for any command. The following two ``run`` calls are equivalent.
.. code-block:: console
$ flask --app hello --debug run
$ flask --app hello run --debug
Watch and Ignore Files with the Reloader
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
When using debug mode, the reloader will trigger whenever your Python code or imported
modules change. The reloader can watch additional files with the ``--extra-files``
option. Multiple paths are separated with ``:``, or ``;`` on Windows.
.. code-block:: text
$ flask run --extra-files file1:dirA/file2:dirB/
* Running on http://127.0.0.1:8000/
* Detected change in '/path/to/file1', reloading
The reloader can also ignore files using :mod:`fnmatch` patterns with the
``--exclude-patterns`` option. Multiple patterns are separated with ``:``, or ``;`` on
Windows.
Open a Shell Open a Shell
------------ ------------
@ -138,34 +112,141 @@ shell with the :func:`shell <cli.shell_command>` command. An application
context will be active, and the app instance will be imported. :: context will be active, and the app instance will be imported. ::
$ flask shell $ flask shell
Python 3.10.0 (default, Oct 27 2021, 06:59:51) [GCC 11.1.0] on linux Python 3.6.2 (default, Jul 20 2017, 03:52:27)
App: example [production] [GCC 7.1.1 20170630] on linux
Instance: /home/david/Projects/pallets/flask/instance App: example
Instance: /home/user/Projects/hello/instance
>>> >>>
Use :meth:`~Flask.shell_context_processor` to add other automatic imports. Use :meth:`~Flask.shell_context_processor` to add other automatic imports.
Environments
------------
.. versionadded:: 1.0
The environment in which the Flask app runs is set by the
:envvar:`FLASK_ENV` environment variable. If not set it defaults to
``production``. The other recognized environment is ``development``.
Flask and extensions may choose to enable behaviors based on the
environment.
If the env is set to ``development``, the ``flask`` command will enable
debug mode and ``flask run`` will enable the interactive debugger and
reloader.
.. tabs::
.. group-tab:: Bash
.. code-block:: text
$ export FLASK_ENV=development
$ flask run
* Serving Flask app "hello"
* Environment: development
* Debug mode: on
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
* Restarting with inotify reloader
* Debugger is active!
* Debugger PIN: 223-456-919
.. group-tab:: CMD
.. code-block:: text
> set FLASK_ENV=development
> flask run
* Serving Flask app "hello"
* Environment: development
* Debug mode: on
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
* Restarting with inotify reloader
* Debugger is active!
* Debugger PIN: 223-456-919
.. group-tab:: Powershell
.. code-block:: text
> $env:FLASK_ENV = "development"
> flask run
* Serving Flask app "hello"
* Environment: development
* Debug mode: on
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
* Restarting with inotify reloader
* Debugger is active!
* Debugger PIN: 223-456-919
Watch Extra Files with the Reloader
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
When using development mode, the reloader will trigger whenever your
Python code or imported modules change. The reloader can watch
additional files with the ``--extra-files`` option, or the
``FLASK_RUN_EXTRA_FILES`` environment variable. Multiple paths are
separated with ``:``, or ``;`` on Windows.
.. tabs::
.. group-tab:: Bash
.. code-block:: text
$ flask run --extra-files file1:dirA/file2:dirB/
# or
$ export FLASK_RUN_EXTRA_FILES=file1:dirA/file2:dirB/
$ flask run
* Running on http://127.0.0.1:8000/
* Detected change in '/path/to/file1', reloading
.. group-tab:: CMD
.. code-block:: text
> flask run --extra-files file1:dirA/file2:dirB/
# or
> set FLASK_RUN_EXTRA_FILES=file1:dirA/file2:dirB/
> flask run
* Running on http://127.0.0.1:8000/
* Detected change in '/path/to/file1', reloading
.. group-tab:: Powershell
.. code-block:: text
> flask run --extra-files file1:dirA/file2:dirB/
# or
> $env:FLASK_RUN_EXTRA_FILES = "file1:dirA/file2:dirB/"
> flask run
* Running on http://127.0.0.1:8000/
* Detected change in '/path/to/file1', reloading
Debug Mode
----------
Debug mode will be enabled when :envvar:`FLASK_ENV` is ``development``,
as described above. If you want to control debug mode separately, use
:envvar:`FLASK_DEBUG`. The value ``1`` enables it, ``0`` disables it.
.. _dotenv: .. _dotenv:
Environment Variables From dotenv Environment Variables From dotenv
--------------------------------- ---------------------------------
The ``flask`` command supports setting any option for any command with Rather than setting ``FLASK_APP`` each time you open a new terminal, you can
environment variables. The variables are named like ``FLASK_OPTION`` or use Flask's dotenv support to set environment variables automatically.
``FLASK_COMMAND_OPTION``, for example ``FLASK_APP`` or
``FLASK_RUN_PORT``.
Rather than passing options every time you run a command, or environment
variables every time you open a new terminal, you can use Flask's dotenv
support to set environment variables automatically.
If `python-dotenv`_ is installed, running the ``flask`` command will set If `python-dotenv`_ is installed, running the ``flask`` command will set
environment variables defined in the files ``.env`` and ``.flaskenv``. environment variables defined in the files :file:`.env` and :file:`.flaskenv`.
You can also specify an extra file to load with the ``--env-file`` This can be used to avoid having to set ``FLASK_APP`` manually every time you
option. Dotenv files can be used to avoid having to set ``--app`` or open a new terminal, and to set configuration using environment variables
``FLASK_APP`` manually, and to set configuration using environment similar to how some deployment services work.
variables similar to how some deployment services work.
Variables set on the command line are used over those set in :file:`.env`, Variables set on the command line are used over those set in :file:`.env`,
which are used over those set in :file:`.flaskenv`. :file:`.flaskenv` should be which are used over those set in :file:`.flaskenv`. :file:`.flaskenv` should be
@ -173,7 +254,9 @@ used for public variables, such as ``FLASK_APP``, while :file:`.env` should not
be committed to your repository so that it can set private variables. be committed to your repository so that it can set private variables.
Directories are scanned upwards from the directory you call ``flask`` Directories are scanned upwards from the directory you call ``flask``
from to locate the files. from to locate the files. The current working directory will be set to the
location of the file, with the assumption that that is the top level project
directory.
The files are only loaded by the ``flask`` command or calling The files are only loaded by the ``flask`` command or calling
:meth:`~Flask.run`. If you would like to load these files when running in :meth:`~Flask.run`. If you would like to load these files when running in
@ -200,14 +283,6 @@ command, instead of ``flask run --port 8000``:
$ flask run $ flask run
* Running on http://127.0.0.1:8000/ * Running on http://127.0.0.1:8000/
.. group-tab:: Fish
.. code-block:: text
$ set -x FLASK_RUN_PORT 8000
$ flask run
* Running on http://127.0.0.1:8000/
.. group-tab:: CMD .. group-tab:: CMD
.. code-block:: text .. code-block:: text
@ -255,13 +330,6 @@ configure as expected.
$ export FLASK_SKIP_DOTENV=1 $ export FLASK_SKIP_DOTENV=1
$ flask run $ flask run
.. group-tab:: Fish
.. code-block:: text
$ set -x FLASK_SKIP_DOTENV 1
$ flask run
.. group-tab:: CMD .. group-tab:: CMD
.. code-block:: text .. code-block:: text
@ -288,25 +356,19 @@ script. Activating the virtualenv will set the variables.
.. group-tab:: Bash .. group-tab:: Bash
Unix Bash, :file:`.venv/bin/activate`:: Unix Bash, :file:`venv/bin/activate`::
$ export FLASK_APP=hello $ export FLASK_APP=hello
.. group-tab:: Fish
Fish, :file:`.venv/bin/activate.fish`::
$ set -x FLASK_APP hello
.. group-tab:: CMD .. group-tab:: CMD
Windows CMD, :file:`.venv\\Scripts\\activate.bat`:: Windows CMD, :file:`venv\\Scripts\\activate.bat`::
> set FLASK_APP=hello > set FLASK_APP=hello
.. group-tab:: Powershell .. group-tab:: Powershell
Windows Powershell, :file:`.venv\\Scripts\\activate.ps1`:: Windows Powershell, :file:`venv\\Scripts\\activate.ps1`::
> $env:FLASK_APP = "hello" > $env:FLASK_APP = "hello"
@ -421,14 +483,12 @@ commands directly to the application's level:
Application Context Application Context
~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~
Commands added using the Flask app's :attr:`~Flask.cli` or Commands added using the Flask app's :attr:`~Flask.cli`
:class:`~flask.cli.FlaskGroup` :meth:`~cli.AppGroup.command` decorator :meth:`~cli.AppGroup.command` decorator will be executed with an application
will be executed with an application context pushed, so your custom context pushed, so your command and extensions have access to the app and its
commands and parameters have access to the app and its configuration. The configuration. If you create a command using the Click :func:`~click.command`
:func:`~cli.with_appcontext` decorator can be used to get the same decorator instead of the Flask decorator, you can use
behavior, but is not needed in most cases. :func:`~cli.with_appcontext` to get the same behavior. ::
.. code-block:: python
import click import click
from flask.cli import with_appcontext from flask.cli import with_appcontext
@ -440,22 +500,36 @@ behavior, but is not needed in most cases.
app.cli.add_command(do_work) app.cli.add_command(do_work)
If you're sure a command doesn't need the context, you can disable it::
@app.cli.command(with_appcontext=False)
def do_work():
...
Plugins Plugins
------- -------
Flask will automatically load commands specified in the ``flask.commands`` Flask will automatically load commands specified in the ``flask.commands``
`entry point`_. This is useful for extensions that want to add commands when `entry point`_. This is useful for extensions that want to add commands when
they are installed. Entry points are specified in :file:`pyproject.toml`: they are installed. Entry points are specified in :file:`setup.py` ::
.. code-block:: toml from setuptools import setup
setup(
name='flask-my-extension',
...,
entry_points={
'flask.commands': [
'my-command=flask_my_extension.commands:cli'
],
},
)
[project.entry-points."flask.commands"]
my-command = "my_extension.commands:cli"
.. _entry point: https://packaging.python.org/tutorials/packaging-projects/#entry-points .. _entry point: https://packaging.python.org/tutorials/packaging-projects/#entry-points
Inside :file:`my_extension/commands.py` you can then export a Click Inside :file:`flask_my_extension/commands.py` you can then export a Click
object:: object::
import click import click
@ -474,7 +548,7 @@ Custom Scripts
-------------- --------------
When you are using the app factory pattern, it may be more convenient to define When you are using the app factory pattern, it may be more convenient to define
your own Click script. Instead of using ``--app`` and letting Flask load your own Click script. Instead of using ``FLASK_APP`` and letting Flask load
your application, you can create your own Click object and export it as a your application, you can create your own Click object and export it as a
`console script`_ entry point. `console script`_ entry point.
@ -493,15 +567,22 @@ Create an instance of :class:`~cli.FlaskGroup` and pass it the factory::
def cli(): def cli():
"""Management script for the Wiki application.""" """Management script for the Wiki application."""
Define the entry point in :file:`pyproject.toml`: Define the entry point in :file:`setup.py`::
.. code-block:: toml from setuptools import setup
[project.scripts] setup(
wiki = "wiki:cli" name='flask-my-extension',
...,
entry_points={
'console_scripts': [
'wiki=wiki:cli'
],
},
)
Install the application in the virtualenv in editable mode and the custom Install the application in the virtualenv in editable mode and the custom
script is available. Note that you don't need to set ``--app``. :: script is available. Note that you don't need to set ``FLASK_APP``. ::
$ pip install -e . $ pip install -e .
$ wiki run $ wiki run
@ -521,36 +602,53 @@ script is available. Note that you don't need to set ``--app``. ::
PyCharm Integration PyCharm Integration
------------------- -------------------
PyCharm Professional provides a special Flask run configuration to run the development PyCharm Professional provides a special Flask run configuration. For
server. For the Community Edition, and for other commands besides ``run``, you need to the Community Edition, we need to configure it to call the ``flask run``
create a custom run configuration. These instructions should be similar for any other CLI command with the correct environment variables. These instructions
IDE you use. should be similar for any other IDE you might want to use.
In PyCharm, with your project open, click on *Run* from the menu bar and go to *Edit In PyCharm, with your project open, click on *Run* from the menu bar and
Configurations*. You'll see a screen similar to this: go to *Edit Configurations*. You'll be greeted by a screen similar to
this:
.. image:: _static/pycharm-run-config.png .. image:: _static/pycharm-runconfig.png
:align: center :align: center
:class: screenshot :class: screenshot
:alt: Screenshot of PyCharm run configuration. :alt: Screenshot of PyCharms's run configuration settings.
Once you create a configuration for the ``flask run``, you can copy and change it to There's quite a few options to change, but once we've done it for one
call any other command. command, we can easily copy the entire configuration and make a single
tweak to give us access to other commands, including any custom ones you
may implement yourself.
Click the *+ (Add New Configuration)* button and select *Python*. Give the configuration Click the + (*Add New Configuration*) button and select *Python*. Give
a name such as "flask run". the configuration a name such as "flask run". For the ``flask run``
command, check "Single instance only" since you can't run the server
more than once at the same time.
Click the *Script path* dropdown and change it to *Module name*, then input ``flask``. Select *Module name* from the dropdown (**A**) then input ``flask``.
The *Parameters* field is set to the CLI command to execute along with any arguments. The *Parameters* field (**B**) is set to the CLI command to execute
This example uses ``--app hello run --debug``, which will run the development server in (with any arguments). In this example we use ``run``, which will run
debug mode. ``--app hello`` should be the import or file with your Flask app. the development server.
If you installed your project as a package in your virtualenv, you may uncheck the You can skip this next step if you're using :ref:`dotenv`. We need to
*PYTHONPATH* options. This will more accurately match how you deploy later. add an environment variable (**C**) to identify our application. Click
on the browse button and add an entry with ``FLASK_APP`` on the left and
the Python import or file on the right (``hello`` for example). Add an
entry with ``FLASK_ENV`` and set it to ``development``.
Click *OK* to save and close the configuration. Select the configuration in the main Next we need to set the working directory (**D**) to be the folder where
PyCharm window and click the play button next to it to run the server. our application resides.
Now that you have a configuration for ``flask run``, you can copy that configuration and If you have installed your project as a package in your virtualenv, you
change the *Parameters* argument to run a different CLI command. may untick the *PYTHONPATH* options (**E**). This will more accurately
match how you deploy the app later.
Click *Apply* to save the configuration, or *OK* to save and close the
window. Select the configuration in the main PyCharm window and click
the play button next to it to run the server.
Now that we have a configuration which runs ``flask run`` from within
PyCharm, we can copy that configuration and alter the *Script* argument
to run a different CLI command, e.g. ``flask shell``.

View file

@ -11,23 +11,16 @@ release, version = get_version("Flask")
# General -------------------------------------------------------------- # General --------------------------------------------------------------
default_role = "code" master_doc = "index"
extensions = [ extensions = [
"sphinx.ext.autodoc", "sphinx.ext.autodoc",
"sphinx.ext.extlinks",
"sphinx.ext.intersphinx", "sphinx.ext.intersphinx",
"sphinxcontrib.log_cabinet", "sphinxcontrib.log_cabinet",
"sphinx_tabs.tabs",
"pallets_sphinx_themes", "pallets_sphinx_themes",
"sphinx_issues",
"sphinx_tabs.tabs",
] ]
autodoc_member_order = "bysource"
autodoc_typehints = "description" autodoc_typehints = "description"
autodoc_preserve_defaults = True
extlinks = {
"issue": ("https://github.com/pallets/flask/issues/%s", "#%s"),
"pr": ("https://github.com/pallets/flask/pull/%s", "#%s"),
"ghsa": ("https://github.com/pallets/flask/security/advisories/GHSA-%s", "GHSA-%s"),
}
intersphinx_mapping = { intersphinx_mapping = {
"python": ("https://docs.python.org/3/", None), "python": ("https://docs.python.org/3/", None),
"werkzeug": ("https://werkzeug.palletsprojects.com/", None), "werkzeug": ("https://werkzeug.palletsprojects.com/", None),
@ -36,8 +29,9 @@ intersphinx_mapping = {
"itsdangerous": ("https://itsdangerous.palletsprojects.com/", None), "itsdangerous": ("https://itsdangerous.palletsprojects.com/", None),
"sqlalchemy": ("https://docs.sqlalchemy.org/", None), "sqlalchemy": ("https://docs.sqlalchemy.org/", None),
"wtforms": ("https://wtforms.readthedocs.io/", None), "wtforms": ("https://wtforms.readthedocs.io/", None),
"blinker": ("https://blinker.readthedocs.io/", None), "blinker": ("https://pythonhosted.org/blinker/", None),
} }
issues_github_path = "pallets/flask"
# HTML ----------------------------------------------------------------- # HTML -----------------------------------------------------------------
@ -49,6 +43,8 @@ html_context = {
ProjectLink("PyPI Releases", "https://pypi.org/project/Flask/"), ProjectLink("PyPI Releases", "https://pypi.org/project/Flask/"),
ProjectLink("Source Code", "https://github.com/pallets/flask/"), ProjectLink("Source Code", "https://github.com/pallets/flask/"),
ProjectLink("Issue Tracker", "https://github.com/pallets/flask/issues/"), ProjectLink("Issue Tracker", "https://github.com/pallets/flask/issues/"),
ProjectLink("Website", "https://palletsprojects.com/p/flask/"),
ProjectLink("Twitter", "https://twitter.com/PalletsTeam"),
ProjectLink("Chat", "https://discord.gg/pallets"), ProjectLink("Chat", "https://discord.gg/pallets"),
] ]
} }
@ -58,13 +54,14 @@ html_sidebars = {
} }
singlehtml_sidebars = {"index": ["project.html", "localtoc.html", "ethicalads.html"]} singlehtml_sidebars = {"index": ["project.html", "localtoc.html", "ethicalads.html"]}
html_static_path = ["_static"] html_static_path = ["_static"]
html_favicon = "_static/flask-icon.svg" html_favicon = "_static/flask-icon.png"
html_logo = "_static/flask-logo.svg" html_logo = "_static/flask-icon.png"
html_title = f"Flask Documentation ({version})" html_title = f"Flask Documentation ({version})"
html_show_sourcelink = False html_show_sourcelink = False
gettext_uuid = True # LaTeX ----------------------------------------------------------------
gettext_compact = False
latex_documents = [(master_doc, f"Flask-{version}.tex", html_title, author, "manual")]
# Local Extensions ----------------------------------------------------- # Local Extensions -----------------------------------------------------

View file

@ -38,26 +38,63 @@ method::
app.config.update( app.config.update(
TESTING=True, TESTING=True,
SECRET_KEY='192b9bdd22ab9ed4d12e236c78afcb9a393ec15f71bbf5dc987d54727823bcbf' SECRET_KEY=b'_5#y2L"F4Q8z\n\xec]/'
) )
Debug Mode Environment and Debug Features
---------- ------------------------------
The :data:`DEBUG` config value is special because it may behave inconsistently if The :data:`ENV` and :data:`DEBUG` config values are special because they
changed after the app has begun setting up. In order to set debug mode reliably, use the may behave inconsistently if changed after the app has begun setting up.
``--debug`` option on the ``flask`` or ``flask run`` command. ``flask run`` will use the In order to set the environment and debug mode reliably, Flask uses
interactive debugger and reloader by default in debug mode. environment variables.
.. code-block:: text The environment is used to indicate to Flask, extensions, and other
programs, like Sentry, what context Flask is running in. It is
controlled with the :envvar:`FLASK_ENV` environment variable and
defaults to ``production``.
$ flask --app hello run --debug Setting :envvar:`FLASK_ENV` to ``development`` will enable debug mode.
``flask run`` will use the interactive debugger and reloader by default
in debug mode. To control this separately from the environment, use the
:envvar:`FLASK_DEBUG` flag.
Using the option is recommended. While it is possible to set :data:`DEBUG` in your .. versionchanged:: 1.0
config or code, this is strongly discouraged. It can't be read early by the Added :envvar:`FLASK_ENV` to control the environment separately
``flask run`` command, and some systems or extensions may have already configured from debug mode. The development environment enables debug mode.
themselves based on a previous value.
To switch Flask to the development environment and enable debug mode,
set :envvar:`FLASK_ENV`:
.. tabs::
.. group-tab:: Bash
.. code-block:: text
$ export FLASK_ENV=development
$ flask run
.. group-tab:: CMD
.. code-block:: text
> set FLASK_ENV=development
> flask run
.. group-tab:: Powershell
.. code-block:: text
> $env:FLASK_ENV = "development"
> flask run
Using the environment variables as described above is recommended. While
it is possible to set :data:`ENV` and :data:`DEBUG` in your config or
code, this is strongly discouraged. They can't be read early by the
``flask`` command, and some systems or extensions may have already
configured themselves based on a previous value.
Builtin Configuration Values Builtin Configuration Values
@ -65,21 +102,38 @@ Builtin Configuration Values
The following configuration values are used internally by Flask: The following configuration values are used internally by Flask:
.. py:data:: ENV
What environment the app is running in. Flask and extensions may
enable behaviors based on the environment, such as enabling debug
mode. The :attr:`~flask.Flask.env` attribute maps to this config
key. This is set by the :envvar:`FLASK_ENV` environment variable and
may not behave as expected if set in code.
**Do not enable development when deploying in production.**
Default: ``'production'``
.. versionadded:: 1.0
.. py:data:: DEBUG .. py:data:: DEBUG
Whether debug mode is enabled. When using ``flask run`` to start the development Whether debug mode is enabled. When using ``flask run`` to start the
server, an interactive debugger will be shown for unhandled exceptions, and the development server, an interactive debugger will be shown for
server will be reloaded when code changes. The :attr:`~flask.Flask.debug` attribute unhandled exceptions, and the server will be reloaded when code
maps to this config key. This is set with the ``FLASK_DEBUG`` environment variable. changes. The :attr:`~flask.Flask.debug` attribute maps to this
It may not behave as expected if set in code. config key. This is enabled when :data:`ENV` is ``'development'``
and is overridden by the ``FLASK_DEBUG`` environment variable. It
may not behave as expected if set in code.
**Do not enable debug mode when deploying in production.** **Do not enable debug mode when deploying in production.**
Default: ``False`` Default: ``True`` if :data:`ENV` is ``'development'``, or ``False``
otherwise.
.. py:data:: TESTING .. py:data:: TESTING
Enable testing mode. Exceptions are propagated rather than handled by Enable testing mode. Exceptions are propagated rather than handled by the
the app's error handlers. Extensions may also change their behavior to the app's error handlers. Extensions may also change their behavior to
facilitate easier testing. You should enable this in your own tests. facilitate easier testing. You should enable this in your own tests.
@ -93,6 +147,14 @@ The following configuration values are used internally by Flask:
Default: ``None`` Default: ``None``
.. py:data:: PRESERVE_CONTEXT_ON_EXCEPTION
Don't pop the request context when an exception occurs. If not set, this
is true if ``DEBUG`` is true. This allows debuggers to introspect the
request data on errors, and should normally not need to be set directly.
Default: ``None``
.. py:data:: TRAP_HTTP_EXCEPTIONS .. py:data:: TRAP_HTTP_EXCEPTIONS
If there is no handler for an ``HTTPException``-type exception, re-raise it If there is no handler for an ``HTTPException``-type exception, re-raise it
@ -118,32 +180,13 @@ The following configuration values are used internally by Flask:
application. It should be a long random ``bytes`` or ``str``. For application. It should be a long random ``bytes`` or ``str``. For
example, copy the output of this to your config:: example, copy the output of this to your config::
$ python -c 'import secrets; print(secrets.token_hex())' $ python -c 'import os; print(os.urandom(16))'
'192b9bdd22ab9ed4d12e236c78afcb9a393ec15f71bbf5dc987d54727823bcbf' b'_5#y2L"F4Q8z\n\xec]/'
**Do not reveal the secret key when posting questions or committing code.** **Do not reveal the secret key when posting questions or committing code.**
Default: ``None`` Default: ``None``
.. py:data:: SECRET_KEY_FALLBACKS
A list of old secret keys that can still be used for unsigning. This allows
a project to implement key rotation without invalidating active sessions or
other recently-signed secrets.
Keys should be removed after an appropriate period of time, as checking each
additional key adds some overhead.
Order should not matter, but the default implementation will test the last
key in the list first, so it might make sense to order oldest to newest.
Flask's built-in secure cookie session supports this. Extensions that use
:data:`SECRET_KEY` may not support this yet.
Default: ``None``
.. versionadded:: 3.1
.. py:data:: SESSION_COOKIE_NAME .. py:data:: SESSION_COOKIE_NAME
The name of the session cookie. Can be changed in case you already have a The name of the session cookie. Can be changed in case you already have a
@ -153,23 +196,12 @@ The following configuration values are used internally by Flask:
.. py:data:: SESSION_COOKIE_DOMAIN .. py:data:: SESSION_COOKIE_DOMAIN
The value of the ``Domain`` parameter on the session cookie. If not set, browsers The domain match rule that the session cookie will be valid for. If not
will only send the cookie to the exact domain it was set from. Otherwise, they set, the cookie will be valid for all subdomains of :data:`SERVER_NAME`.
will send it to any subdomain of the given value as well. If ``False``, the cookie's domain will not be set.
Not setting this value is more restricted and secure than setting it.
Default: ``None`` Default: ``None``
.. warning::
If this is changed after the browser created a cookie is created with
one setting, it may result in another being created. Browsers may send
send both in an undefined order. In that case, you may want to change
:data:`SESSION_COOKIE_NAME` as well or otherwise invalidate old sessions.
.. versionchanged:: 2.3
Not set by default, does not fall back to ``SERVER_NAME``.
.. py:data:: SESSION_COOKIE_PATH .. py:data:: SESSION_COOKIE_PATH
The path that the session cookie will be valid for. If not set, the cookie The path that the session cookie will be valid for. If not set, the cookie
@ -192,23 +224,6 @@ The following configuration values are used internally by Flask:
Default: ``False`` Default: ``False``
.. py:data:: SESSION_COOKIE_PARTITIONED
Browsers will send cookies based on the top-level document's domain, rather
than only the domain of the document setting the cookie. This prevents third
party cookies set in iframes from "leaking" between separate sites.
Browsers are beginning to disallow non-partitioned third party cookies, so
you need to mark your cookies partitioned if you expect them to work in such
embedded situations.
Enabling this implicitly enables :data:`SESSION_COOKIE_SECURE` as well, as
it is only valid when served over HTTPS.
Default: ``False``
.. versionadded:: 3.1
.. py:data:: SESSION_COOKIE_SAMESITE .. py:data:: SESSION_COOKIE_SAMESITE
Restrict how cookies are sent with requests from external sites. Can Restrict how cookies are sent with requests from external sites. Can
@ -261,43 +276,24 @@ The following configuration values are used internally by Flask:
Default: ``None`` Default: ``None``
.. py:data:: TRUSTED_HOSTS
Validate :attr:`.Request.host` and other attributes that use it against
these trusted values. Raise a :exc:`~werkzeug.exceptions.SecurityError` if
the host is invalid, which results in a 400 error. If it is ``None``, all
hosts are valid. Each value is either an exact match, or can start with
a dot ``.`` to match any subdomain.
Validation is done during routing against this value. ``before_request`` and
``after_request`` callbacks will still be called.
Default: ``None``
.. versionadded:: 3.1
.. py:data:: SERVER_NAME .. py:data:: SERVER_NAME
Inform the application what host and port it is bound to. Inform the application what host and port it is bound to. Required
for subdomain route matching support.
Must be set if ``subdomain_matching`` is enabled, to be able to extract the If set, will be used for the session cookie domain if
subdomain from the request. :data:`SESSION_COOKIE_DOMAIN` is not set. Modern web browsers will
not allow setting cookies for domains without a dot. To use a domain
locally, add any names that should route to the app to your
``hosts`` file. ::
Must be set for ``url_for`` to generate external URLs outside of a 127.0.0.1 localhost.dev
request context.
If set, ``url_for`` can generate external URLs with only an application
context instead of a request context.
Default: ``None`` Default: ``None``
.. versionchanged:: 3.1
Does not restrict requests to only this domain, for both
``subdomain_matching`` and ``host_matching``.
.. versionchanged:: 1.0
Does not implicitly enable ``subdomain_matching``.
.. versionchanged:: 2.3
Does not affect ``SESSION_COOKIE_DOMAIN``.
.. py:data:: APPLICATION_ROOT .. py:data:: APPLICATION_ROOT
Inform the application what path it is mounted under by the application / Inform the application what path it is mounted under by the application /
@ -319,53 +315,42 @@ The following configuration values are used internally by Flask:
.. py:data:: MAX_CONTENT_LENGTH .. py:data:: MAX_CONTENT_LENGTH
The maximum number of bytes that will be read during this request. If Don't read more than this many bytes from the incoming request data. If not
this limit is exceeded, a 413 :exc:`~werkzeug.exceptions.RequestEntityTooLarge` set and the request does not specify a ``CONTENT_LENGTH``, no data will be
error is raised. If it is set to ``None``, no limit is enforced at the read for security.
Flask application level. However, if it is ``None`` and the request has no
``Content-Length`` header and the WSGI server does not indicate that it
terminates the stream, then no data is read to avoid an infinite stream.
Each request defaults to this config. It can be set on a specific
:attr:`.Request.max_content_length` to apply the limit to that specific
view. This should be set appropriately based on an application's or view's
specific needs.
Default: ``None`` Default: ``None``
.. versionadded:: 0.6 .. py:data:: JSON_AS_ASCII
.. py:data:: MAX_FORM_MEMORY_SIZE Serialize objects to ASCII-encoded JSON. If this is disabled, the
JSON returned from ``jsonify`` will contain Unicode characters. This
has security implications when rendering the JSON into JavaScript in
templates, and should typically remain enabled.
The maximum size in bytes any non-file form field may be in a Default: ``True``
``multipart/form-data`` body. If this limit is exceeded, a 413
:exc:`~werkzeug.exceptions.RequestEntityTooLarge` error is raised. If it is
set to ``None``, no limit is enforced at the Flask application level.
Each request defaults to this config. It can be set on a specific .. py:data:: JSON_SORT_KEYS
:attr:`.Request.max_form_memory_parts` to apply the limit to that specific
view. This should be set appropriately based on an application's or view's
specific needs.
Default: ``500_000`` Sort the keys of JSON objects alphabetically. This is useful for caching
because it ensures the data is serialized the same way no matter what
Python's hash seed is. While not recommended, you can disable this for a
possible performance improvement at the cost of caching.
.. versionadded:: 3.1 Default: ``True``
.. py:data:: MAX_FORM_PARTS .. py:data:: JSONIFY_PRETTYPRINT_REGULAR
The maximum number of fields that may be present in a ``jsonify`` responses will be output with newlines, spaces, and indentation
``multipart/form-data`` body. If this limit is exceeded, a 413 for easier reading by humans. Always enabled in debug mode.
:exc:`~werkzeug.exceptions.RequestEntityTooLarge` error is raised. If it
is set to ``None``, no limit is enforced at the Flask application level.
Each request defaults to this config. It can be set on a specific Default: ``False``
:attr:`.Request.max_form_parts` to apply the limit to that specific view.
This should be set appropriately based on an application's or view's
specific needs.
Default: ``1_000`` .. py:data:: JSONIFY_MIMETYPE
.. versionadded:: 3.1 The mimetype of ``jsonify`` responses.
Default: ``'application/json'``
.. py:data:: TEMPLATES_AUTO_RELOAD .. py:data:: TEMPLATES_AUTO_RELOAD
@ -388,12 +373,6 @@ The following configuration values are used internally by Flask:
``4093``. Larger cookies may be silently ignored by browsers. Set to ``4093``. Larger cookies may be silently ignored by browsers. Set to
``0`` to disable the warning. ``0`` to disable the warning.
.. py:data:: PROVIDE_AUTOMATIC_OPTIONS
Set to ``False`` to disable the automatic addition of OPTIONS
responses. This can be overridden per route by altering the
``provide_automatic_options`` attribute.
.. versionadded:: 0.4 .. versionadded:: 0.4
``LOGGER_NAME`` ``LOGGER_NAME``
@ -434,30 +413,17 @@ The following configuration values are used internally by Flask:
Added :data:`MAX_COOKIE_SIZE` to control a warning from Werkzeug. Added :data:`MAX_COOKIE_SIZE` to control a warning from Werkzeug.
.. versionchanged:: 2.2
Removed ``PRESERVE_CONTEXT_ON_EXCEPTION``.
.. versionchanged:: 2.3
``JSON_AS_ASCII``, ``JSON_SORT_KEYS``, ``JSONIFY_MIMETYPE``, and
``JSONIFY_PRETTYPRINT_REGULAR`` were removed. The default ``app.json`` provider has
equivalent attributes instead.
.. versionchanged:: 2.3
``ENV`` was removed.
.. versionadded:: 3.1
Added :data:`PROVIDE_AUTOMATIC_OPTIONS` to control the default
addition of autogenerated OPTIONS responses.
Configuring from Python Files Configuring from Python Files
----------------------------- -----------------------------
Configuration becomes more useful if you can store it in a separate file, ideally Configuration becomes more useful if you can store it in a separate file,
located outside the actual application package. You can deploy your application, then ideally located outside the actual application package. This makes
separately configure it for the specific deployment. packaging and distributing your application possible via various package
handling tools (:doc:`/patterns/distribute`) and finally modifying the
configuration file afterwards.
A common pattern is this:: So a common pattern is this::
app = Flask(__name__) app = Flask(__name__)
app.config.from_object('yourapplication.default_settings') app.config.from_object('yourapplication.default_settings')
@ -479,14 +445,6 @@ in the shell before starting the server:
$ flask run $ flask run
* Running on http://127.0.0.1:5000/ * Running on http://127.0.0.1:5000/
.. group-tab:: Fish
.. code-block:: text
$ set -x YOURAPPLICATION_SETTINGS /path/to/settings.cfg
$ flask run
* Running on http://127.0.0.1:5000/
.. group-tab:: CMD .. group-tab:: CMD
.. code-block:: text .. code-block:: text
@ -510,7 +468,7 @@ sure to use uppercase letters for your config keys.
Here is an example of a configuration file:: Here is an example of a configuration file::
# Example configuration # Example configuration
SECRET_KEY = '192b9bdd22ab9ed4d12e236c78afcb9a393ec15f71bbf5dc987d54727823bcbf' SECRET_KEY = b'_5#y2L"F4Q8z\n\xec]/'
Make sure to load the configuration very early on, so that extensions have Make sure to load the configuration very early on, so that extensions have
the ability to access the configuration when starting up. There are other the ability to access the configuration when starting up. There are other
@ -528,8 +486,8 @@ from a TOML file:
.. code-block:: python .. code-block:: python
import tomllib import toml
app.config.from_file("config.toml", load=tomllib.load, text=False) app.config.from_file("config.toml", load=toml.load)
Or from a JSON file: Or from a JSON file:
@ -542,14 +500,11 @@ Or from a JSON file:
Configuring from Environment Variables Configuring from Environment Variables
-------------------------------------- --------------------------------------
In addition to pointing to configuration files using environment In addition to pointing to configuration files using environment variables, you
variables, you may find it useful (or necessary) to control your may find it useful (or necessary) to control your configuration values directly
configuration values directly from the environment. Flask can be from the environment.
instructed to load all environment variables starting with a specific
prefix into the config using :meth:`~flask.Config.from_prefixed_env`.
Environment variables can be set in the shell before starting the Environment variables can be set in the shell before starting the server:
server:
.. tabs:: .. tabs::
@ -557,17 +512,8 @@ server:
.. code-block:: text .. code-block:: text
$ export FLASK_SECRET_KEY="5f352379324c22463451387a0aec5d2f" $ export SECRET_KEY="5f352379324c22463451387a0aec5d2f"
$ export FLASK_MAIL_ENABLED=false $ export MAIL_ENABLED=false
$ flask run
* Running on http://127.0.0.1:5000/
.. group-tab:: Fish
.. code-block:: text
$ set -x FLASK_SECRET_KEY "5f352379324c22463451387a0aec5d2f"
$ set -x FLASK_MAIL_ENABLED false
$ flask run $ flask run
* Running on http://127.0.0.1:5000/ * Running on http://127.0.0.1:5000/
@ -575,8 +521,8 @@ server:
.. code-block:: text .. code-block:: text
> set FLASK_SECRET_KEY="5f352379324c22463451387a0aec5d2f" > set SECRET_KEY="5f352379324c22463451387a0aec5d2f"
> set FLASK_MAIL_ENABLED=false > set MAIL_ENABLED=false
> flask run > flask run
* Running on http://127.0.0.1:5000/ * Running on http://127.0.0.1:5000/
@ -584,51 +530,36 @@ server:
.. code-block:: text .. code-block:: text
> $env:FLASK_SECRET_KEY = "5f352379324c22463451387a0aec5d2f" > $env:SECRET_KEY = "5f352379324c22463451387a0aec5d2f"
> $env:FLASK_MAIL_ENABLED = "false" > $env:MAIL_ENABLED = "false"
> flask run > flask run
* Running on http://127.0.0.1:5000/ * Running on http://127.0.0.1:5000/
The variables can then be loaded and accessed via the config with a key While this approach is straightforward to use, it is important to remember that
equal to the environment variable name without the prefix i.e. environment variables are strings -- they are not automatically deserialized
into Python types.
.. code-block:: python Here is an example of a configuration file that uses environment variables::
app.config.from_prefixed_env() import os
app.config["SECRET_KEY"] # Is "5f352379324c22463451387a0aec5d2f"
The prefix is ``FLASK_`` by default. This is configurable via the _mail_enabled = os.environ.get("MAIL_ENABLED", default="true")
``prefix`` argument of :meth:`~flask.Config.from_prefixed_env`. MAIL_ENABLED = _mail_enabled.lower() in {"1", "t", "true"}
Values will be parsed to attempt to convert them to a more specific type SECRET_KEY = os.environ.get("SECRET_KEY")
than strings. By default :func:`json.loads` is used, so any valid JSON
value is possible, including lists and dicts. This is configurable via
the ``loads`` argument of :meth:`~flask.Config.from_prefixed_env`.
When adding a boolean value with the default JSON parsing, only "true" if not SECRET_KEY:
and "false", lowercase, are valid values. Keep in mind that any raise ValueError("No SECRET_KEY set for Flask application")
non-empty string is considered ``True`` by Python.
It is possible to set keys in nested dictionaries by separating the
keys with double underscore (``__``). Any intermediate keys that don't
exist on the parent dict will be initialized to an empty dict.
.. code-block:: text Notice that any value besides an empty string will be interpreted as a boolean
``True`` value in Python, which requires care if an environment explicitly sets
values intended to be ``False``.
$ export FLASK_MYAPI__credentials__username=user123 Make sure to load the configuration very early on, so that extensions have the
ability to access the configuration when starting up. There are other methods
.. code-block:: python on the config object as well to load from individual files. For a complete
reference, read the :class:`~flask.Config` class documentation.
app.config["MYAPI"]["credentials"]["username"] # Is "user123"
On Windows, environment variable keys are always uppercase, therefore
the above example would end up as ``MYAPI__CREDENTIALS__USERNAME``.
For even more config loading features, including merging and
case-insensitive Windows support, try a dedicated library such as
Dynaconf_, which includes integration with Flask.
.. _Dynaconf: https://www.dynaconf.com/
Configuration Best Practices Configuration Best Practices
@ -648,10 +579,6 @@ that experience:
limit yourself to request-only accesses to the configuration you can limit yourself to request-only accesses to the configuration you can
reconfigure the object later on as needed. reconfigure the object later on as needed.
3. Make sure to load the configuration very early on, so that
extensions can access the configuration when calling ``init_app``.
.. _config-dev-prod: .. _config-dev-prod:
Development / Production Development / Production
@ -749,8 +676,10 @@ your configuration files. However here a list of good recommendations:
code at all. If you are working often on different projects you can code at all. If you are working often on different projects you can
even create your own script for sourcing that activates a virtualenv even create your own script for sourcing that activates a virtualenv
and exports the development configuration for you. and exports the development configuration for you.
- Use a tool like `fabric`_ to push code and configuration separately - Use a tool like `fabric`_ in production to push code and
to the production server(s). configurations separately to the production server(s). For some
details about how to do that, head over to the
:doc:`/patterns/fabric` pattern.
.. _fabric: https://www.fabfile.org/ .. _fabric: https://www.fabfile.org/

View file

@ -1,8 +1 @@
Contributing .. include:: ../CONTRIBUTING.rst
============
See the Pallets `detailed contributing documentation <contrib_>`_ for many ways
to contribute, including reporting issues, requesting features, asking or
answering questions, and making PRs.
.. _contrib: https://palletsprojects.com/contributing/

View file

@ -39,22 +39,47 @@ during a request. This debugger should only be used during development.
security risk. Do not run the development server or debugger in a security risk. Do not run the development server or debugger in a
production environment. production environment.
The debugger is enabled by default when the development server is run in debug mode. To enable the debugger, run the development server with the
``FLASK_ENV`` environment variable set to ``development``. This puts
Flask in debug mode, which changes how it handles some errors, and
enables the debugger and reloader.
.. code-block:: text .. tabs::
$ flask --app hello run --debug .. group-tab:: Bash
When running from Python code, passing ``debug=True`` enables debug mode, which is .. code-block:: text
mostly equivalent.
$ export FLASK_ENV=development
$ flask run
.. group-tab:: CMD
.. code-block:: text
> set FLASK_ENV=development
> flask run
.. group-tab:: Powershell
.. code-block:: text
> $env:FLASK_ENV = "development"
> flask run
``FLASK_ENV`` can only be set as an environment variable. When running
from Python code, passing ``debug=True`` enables debug mode, which is
mostly equivalent. Debug mode can be controlled separately from
``FLASK_ENV`` with the ``FLASK_DEBUG`` environment variable as well.
.. code-block:: python .. code-block:: python
app.run(debug=True) app.run(debug=True)
:doc:`/server` and :doc:`/cli` have more information about running the debugger and :doc:`/server` and :doc:`/cli` have more information about running the
debug mode. More information about the debugger can be found in the `Werkzeug debugger, debug mode, and development mode. More information about the
documentation <https://werkzeug.palletsprojects.com/debug/>`__. debugger can be found in the `Werkzeug documentation
<https://werkzeug.palletsprojects.com/debug/>`__.
External Debuggers External Debuggers
@ -66,13 +91,34 @@ be used to step through code during a request before an error is raised,
or if no error is raised. Some even have a remote mode so you can debug or if no error is raised. Some even have a remote mode so you can debug
code running on another machine. code running on another machine.
When using an external debugger, the app should still be in debug mode, otherwise Flask When using an external debugger, the app should still be in debug mode,
turns unhandled errors into generic 500 error pages. However, the built-in debugger and but it can be useful to disable the built-in debugger and reloader,
reloader should be disabled so they don't interfere with the external debugger. which can interfere.
.. code-block:: text When running from the command line:
$ flask --app hello run --debug --no-debugger --no-reload .. tabs::
.. group-tab:: Bash
.. code-block:: text
$ export FLASK_ENV=development
$ flask run --no-debugger --no-reload
.. group-tab:: CMD
.. code-block:: text
> set FLASK_ENV=development
> flask run --no-debugger --no-reload
.. group-tab:: Powershell
.. code-block:: text
> $env:FLASK_ENV = "development"
> flask run --no-debugger --no-reload
When running from Python: When running from Python:
@ -80,20 +126,8 @@ When running from Python:
app.run(debug=True, use_debugger=False, use_reloader=False) app.run(debug=True, use_debugger=False, use_reloader=False)
Disabling these isn't required, an external debugger will continue to work with the Disabling these isn't required, an external debugger will continue to
following caveats. work with the following caveats. If the built-in debugger is not
disabled, it will catch unhandled exceptions before the external
- If the built-in debugger is not disabled, it will catch unhandled exceptions before debugger can. If the reloader is not disabled, it could cause an
the external debugger can. unexpected reload if code changes during debugging.
- If the reloader is not disabled, it could cause an unexpected reload if code changes
during a breakpoint.
- The development server will still catch unhandled exceptions if the built-in
debugger is disabled, otherwise it would crash on any error. If you want that (and
usually you don't) pass ``passthrough_errors=True`` to ``app.run``.
.. code-block:: python
app.run(
debug=True, passthrough_errors=True,
use_debugger=False, use_reloader=False
)

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Apache httpd
============
`Apache httpd`_ is a fast, production level HTTP server. When serving
your application with one of the WSGI servers listed in :doc:`index`, it
is often good or necessary to put a dedicated HTTP server in front of
it. This "reverse proxy" can handle incoming requests, TLS, and other
security and performance concerns better than the WSGI server.
httpd can be installed using your system package manager, or a pre-built
executable for Windows. Installing and running httpd itself is outside
the scope of this doc. This page outlines the basics of configuring
httpd to proxy your application. Be sure to read its documentation to
understand what features are available.
.. _Apache httpd: https://httpd.apache.org/
Domain Name
-----------
Acquiring and configuring a domain name is outside the scope of this
doc. In general, you will buy a domain name from a registrar, pay for
server space with a hosting provider, and then point your registrar
at the hosting provider's name servers.
To simulate this, you can also edit your ``hosts`` file, located at
``/etc/hosts`` on Linux. Add a line that associates a name with the
local IP.
Modern Linux systems may be configured to treat any domain name that
ends with ``.localhost`` like this without adding it to the ``hosts``
file.
.. code-block:: python
:caption: ``/etc/hosts``
127.0.0.1 hello.localhost
Configuration
-------------
The httpd configuration is located at ``/etc/httpd/conf/httpd.conf`` on
Linux. It may be different depending on your operating system. Check the
docs and look for ``httpd.conf``.
Remove or comment out any existing ``DocumentRoot`` directive. Add the
config lines below. We'll assume the WSGI server is listening locally at
``http://127.0.0.1:8000``.
.. code-block:: apache
:caption: ``/etc/httpd/conf/httpd.conf``
LoadModule proxy_module modules/mod_proxy.so
LoadModule proxy_http_module modules/mod_proxy_http.so
ProxyPass / http://127.0.0.1:8000/
RequestHeader set X-Forwarded-Proto http
RequestHeader set X-Forwarded-Prefix /
The ``LoadModule`` lines might already exist. If so, make sure they are
uncommented instead of adding them manually.
Then :doc:`proxy_fix` so that your application uses the ``X-Forwarded``
headers. ``X-Forwarded-For`` and ``X-Forwarded-Host`` are automatically
set by ``ProxyPass``.

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@ -1,3 +1,5 @@
.. _asgi:
ASGI ASGI
==== ====
@ -20,7 +22,7 @@ wrapping the Flask app,
asgi_app = WsgiToAsgi(app) asgi_app = WsgiToAsgi(app)
and then serving the ``asgi_app`` with the ASGI server, e.g. using and then serving the ``asgi_app`` with the ASGI server, e.g. using
`Hypercorn <https://github.com/pgjones/hypercorn>`_, `Hypercorn <https://gitlab.com/pgjones/hypercorn>`_,
.. sourcecode:: text .. sourcecode:: text

61
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@ -0,0 +1,61 @@
CGI
===
If all other deployment methods do not work, CGI will work for sure.
CGI is supported by all major servers but usually has a sub-optimal
performance.
This is also the way you can use a Flask application on Google's `App
Engine`_, where execution happens in a CGI-like environment.
.. admonition:: Watch Out
Please make sure in advance that any ``app.run()`` calls you might
have in your application file are inside an ``if __name__ ==
'__main__':`` block or moved to a separate file. Just make sure it's
not called because this will always start a local WSGI server which
we do not want if we deploy that application to CGI / app engine.
With CGI, you will also have to make sure that your code does not contain
any ``print`` statements, or that ``sys.stdout`` is overridden by something
that doesn't write into the HTTP response.
Creating a `.cgi` file
----------------------
First you need to create the CGI application file. Let's call it
:file:`yourapplication.cgi`::
#!/usr/bin/python
from wsgiref.handlers import CGIHandler
from yourapplication import app
CGIHandler().run(app)
Server Setup
------------
Usually there are two ways to configure the server. Either just copy the
``.cgi`` into a :file:`cgi-bin` (and use `mod_rewrite` or something similar to
rewrite the URL) or let the server point to the file directly.
In Apache for example you can put something like this into the config:
.. sourcecode:: apache
ScriptAlias /app /path/to/the/application.cgi
On shared webhosting, though, you might not have access to your Apache config.
In this case, a file called ``.htaccess``, sitting in the public directory
you want your app to be available, works too but the ``ScriptAlias`` directive
won't work in that case:
.. sourcecode:: apache
RewriteEngine On
RewriteCond %{REQUEST_FILENAME} !-f # Don't interfere with static files
RewriteRule ^(.*)$ /path/to/the/application.cgi/$1 [L]
For more information consult the documentation of your webserver.
.. _App Engine: https://cloud.google.com/appengine/docs/

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@ -1,8 +0,0 @@
:orphan:
eventlet
========
`Eventlet is no longer maintained.`__ Use :doc:`/deploying/gevent` instead.
__ https://eventlet.readthedocs.io

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@ -0,0 +1,238 @@
FastCGI
=======
FastCGI is a deployment option on servers like `nginx`_, `lighttpd`_, and
`cherokee`_; see :doc:`uwsgi` and :doc:`wsgi-standalone` for other options.
To use your WSGI application with any of them you will need a FastCGI
server first. The most popular one is `flup`_ which we will use for
this guide. Make sure to have it installed to follow along.
.. admonition:: Watch Out
Please make sure in advance that any ``app.run()`` calls you might
have in your application file are inside an ``if __name__ ==
'__main__':`` block or moved to a separate file. Just make sure it's
not called because this will always start a local WSGI server which
we do not want if we deploy that application to FastCGI.
Creating a `.fcgi` file
-----------------------
First you need to create the FastCGI server file. Let's call it
`yourapplication.fcgi`::
#!/usr/bin/python
from flup.server.fcgi import WSGIServer
from yourapplication import app
if __name__ == '__main__':
WSGIServer(app).run()
This is enough for Apache to work, however nginx and older versions of
lighttpd need a socket to be explicitly passed to communicate with the
FastCGI server. For that to work you need to pass the path to the
socket to the :class:`~flup.server.fcgi.WSGIServer`::
WSGIServer(application, bindAddress='/path/to/fcgi.sock').run()
The path has to be the exact same path you define in the server
config.
Save the :file:`yourapplication.fcgi` file somewhere you will find it again.
It makes sense to have that in :file:`/var/www/yourapplication` or something
similar.
Make sure to set the executable bit on that file so that the servers
can execute it:
.. sourcecode:: text
$ chmod +x /var/www/yourapplication/yourapplication.fcgi
Configuring Apache
------------------
The example above is good enough for a basic Apache deployment but your
`.fcgi` file will appear in your application URL e.g.
``example.com/yourapplication.fcgi/news/``. There are few ways to configure
your application so that yourapplication.fcgi does not appear in the URL.
A preferable way is to use the ScriptAlias and SetHandler configuration
directives to route requests to the FastCGI server. The following example
uses FastCgiServer to start 5 instances of the application which will
handle all incoming requests::
LoadModule fastcgi_module /usr/lib64/httpd/modules/mod_fastcgi.so
FastCgiServer /var/www/html/yourapplication/app.fcgi -idle-timeout 300 -processes 5
<VirtualHost *>
ServerName webapp1.mydomain.com
DocumentRoot /var/www/html/yourapplication
AddHandler fastcgi-script fcgi
ScriptAlias / /var/www/html/yourapplication/app.fcgi/
<Location />
SetHandler fastcgi-script
</Location>
</VirtualHost>
These processes will be managed by Apache. If you're using a standalone
FastCGI server, you can use the FastCgiExternalServer directive instead.
Note that in the following the path is not real, it's simply used as an
identifier to other
directives such as AliasMatch::
FastCgiServer /var/www/html/yourapplication -host 127.0.0.1:3000
If you cannot set ScriptAlias, for example on a shared web host, you can use
WSGI middleware to remove yourapplication.fcgi from the URLs. Set .htaccess::
<IfModule mod_fcgid.c>
AddHandler fcgid-script .fcgi
<Files ~ (\.fcgi)>
SetHandler fcgid-script
Options +FollowSymLinks +ExecCGI
</Files>
</IfModule>
<IfModule mod_rewrite.c>
Options +FollowSymlinks
RewriteEngine On
RewriteBase /
RewriteCond %{REQUEST_FILENAME} !-f
RewriteRule ^(.*)$ yourapplication.fcgi/$1 [QSA,L]
</IfModule>
Set yourapplication.fcgi::
#!/usr/bin/python
#: optional path to your local python site-packages folder
import sys
sys.path.insert(0, '<your_local_path>/lib/python<your_python_version>/site-packages')
from flup.server.fcgi import WSGIServer
from yourapplication import app
class ScriptNameStripper(object):
def __init__(self, app):
self.app = app
def __call__(self, environ, start_response):
environ['SCRIPT_NAME'] = ''
return self.app(environ, start_response)
app = ScriptNameStripper(app)
if __name__ == '__main__':
WSGIServer(app).run()
Configuring lighttpd
--------------------
A basic FastCGI configuration for lighttpd looks like that::
fastcgi.server = ("/yourapplication.fcgi" =>
((
"socket" => "/tmp/yourapplication-fcgi.sock",
"bin-path" => "/var/www/yourapplication/yourapplication.fcgi",
"check-local" => "disable",
"max-procs" => 1
))
)
alias.url = (
"/static/" => "/path/to/your/static/"
)
url.rewrite-once = (
"^(/static($|/.*))$" => "$1",
"^(/.*)$" => "/yourapplication.fcgi$1"
)
Remember to enable the FastCGI, alias and rewrite modules. This configuration
binds the application to ``/yourapplication``. If you want the application to
work in the URL root you have to work around a lighttpd bug with the
:class:`~werkzeug.contrib.fixers.LighttpdCGIRootFix` middleware.
Make sure to apply it only if you are mounting the application the URL
root. Also, see the Lighty docs for more information on `FastCGI and Python
<https://redmine.lighttpd.net/projects/lighttpd/wiki/Docs_ModFastCGI>`_ (note that
explicitly passing a socket to run() is no longer necessary).
Configuring nginx
-----------------
Installing FastCGI applications on nginx is a bit different because by
default no FastCGI parameters are forwarded.
A basic Flask FastCGI configuration for nginx looks like this::
location = /yourapplication { rewrite ^ /yourapplication/ last; }
location /yourapplication { try_files $uri @yourapplication; }
location @yourapplication {
include fastcgi_params;
fastcgi_split_path_info ^(/yourapplication)(.*)$;
fastcgi_param PATH_INFO $fastcgi_path_info;
fastcgi_param SCRIPT_NAME $fastcgi_script_name;
fastcgi_pass unix:/tmp/yourapplication-fcgi.sock;
}
This configuration binds the application to ``/yourapplication``. If you
want to have it in the URL root it's a bit simpler because you don't
have to figure out how to calculate ``PATH_INFO`` and ``SCRIPT_NAME``::
location / { try_files $uri @yourapplication; }
location @yourapplication {
include fastcgi_params;
fastcgi_param PATH_INFO $fastcgi_script_name;
fastcgi_param SCRIPT_NAME "";
fastcgi_pass unix:/tmp/yourapplication-fcgi.sock;
}
Running FastCGI Processes
-------------------------
Since nginx and others do not load FastCGI apps, you have to do it by
yourself. `Supervisor can manage FastCGI processes.
<http://supervisord.org/configuration.html#fcgi-program-x-section-settings>`_
You can look around for other FastCGI process managers or write a script
to run your `.fcgi` file at boot, e.g. using a SysV ``init.d`` script.
For a temporary solution, you can always run the ``.fcgi`` script inside
GNU screen. See ``man screen`` for details, and note that this is a
manual solution which does not persist across system restart::
$ screen
$ /var/www/yourapplication/yourapplication.fcgi
Debugging
---------
FastCGI deployments tend to be hard to debug on most web servers. Very
often the only thing the server log tells you is something along the
lines of "premature end of headers". In order to debug the application
the only thing that can really give you ideas why it breaks is switching
to the correct user and executing the application by hand.
This example assumes your application is called `application.fcgi` and
that your web server user is `www-data`::
$ su www-data
$ cd /var/www/yourapplication
$ python application.fcgi
Traceback (most recent call last):
File "yourapplication.fcgi", line 4, in <module>
ImportError: No module named yourapplication
In this case the error seems to be "yourapplication" not being on the
python path. Common problems are:
- Relative paths being used. Don't rely on the current working directory.
- The code depending on environment variables that are not set by the
web server.
- Different python interpreters being used.
.. _nginx: https://nginx.org/
.. _lighttpd: https://www.lighttpd.net/
.. _cherokee: https://cherokee-project.com/
.. _flup: https://pypi.org/project/flup/

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@ -1,76 +0,0 @@
gevent
======
Prefer using :doc:`gunicorn` or :doc:`uwsgi` with gevent workers rather
than using `gevent`_ directly. Gunicorn and uWSGI provide much more
configurable and production-tested servers.
`gevent`_ allows writing asynchronous, coroutine-based code that looks
like standard synchronous Python. It uses `greenlet`_ to enable task
switching without writing ``async/await`` or using ``asyncio``. This is
not the same as Python's ``async/await``, or the ASGI server spec.
gevent provides a WSGI server that can handle many connections at once
instead of one per worker process. See :doc:`/gevent` for more
information about enabling it in your application.
.. _gevent: https://www.gevent.org/
.. _greenlet: https://greenlet.readthedocs.io/en/latest/
Installing
----------
When using gevent, greenlet>=1.0 is required. When using PyPy,
PyPy>=7.3.7 is required.
Create a virtualenv, install your application, then install ``gevent``.
.. code-block:: text
$ cd hello-app
$ python -m venv .venv
$ . .venv/bin/activate
$ pip install . # install your application
$ pip install gevent
Running
-------
To use gevent to serve your application, write a script that imports its
``WSGIServer``, as well as your app or app factory.
.. code-block:: python
:caption: ``wsgi.py``
from gevent.pywsgi import WSGIServer
from hello import create_app
app = create_app()
http_server = WSGIServer(("127.0.0.1", 8000), app)
http_server.serve_forever()
.. code-block:: text
$ python wsgi.py
No output is shown when the server starts.
Binding Externally
------------------
gevent should not be run as root because it would cause your
application code to run as root, which is not secure. However, this
means it will not be possible to bind to port 80 or 443. Instead, a
reverse proxy such as :doc:`nginx` or :doc:`apache-httpd` should be used
in front of gevent.
You can bind to all external IPs on a non-privileged port by using
``0.0.0.0`` in the server arguments shown in the previous section. Don't
do this when using a reverse proxy setup, otherwise it will be possible
to bypass the proxy.
``0.0.0.0`` is not a valid address to navigate to, you'd use a specific
IP address in your browser.

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@ -1,116 +0,0 @@
Gunicorn
========
`Gunicorn`_ is a pure Python WSGI server with simple configuration and
multiple worker implementations for performance tuning.
* It tends to integrate easily with hosting platforms.
* It does not support Windows (but does run on WSL).
* It is easy to install as it does not require additional dependencies
or compilation.
* It has built-in async worker support using gevent.
This page outlines the basics of running Gunicorn. Be sure to read its
`documentation`_ and use ``gunicorn --help`` to understand what features
are available.
.. _Gunicorn: https://gunicorn.org/
.. _documentation: https://docs.gunicorn.org/
Installing
----------
Gunicorn is easy to install, as it does not require external
dependencies or compilation. It runs on Windows only under WSL.
Create a virtualenv, install your application, then install
``gunicorn``.
.. code-block:: text
$ cd hello-app
$ python -m venv .venv
$ . .venv/bin/activate
$ pip install . # install your application
$ pip install gunicorn
Running
-------
The only required argument to Gunicorn tells it how to load your Flask
application. The syntax is ``{module_import}:{app_variable}``.
``module_import`` is the dotted import name to the module with your
application. ``app_variable`` is the variable with the application. It
can also be a function call (with any arguments) if you're using the
app factory pattern.
.. code-block:: text
# equivalent to 'from hello import app'
$ gunicorn -w 4 'hello:app'
# equivalent to 'from hello import create_app; create_app()'
$ gunicorn -w 4 'hello:create_app()'
Starting gunicorn 20.1.0
Listening at: http://127.0.0.1:8000 (x)
Using worker: sync
Booting worker with pid: x
Booting worker with pid: x
Booting worker with pid: x
Booting worker with pid: x
The ``-w`` option specifies the number of processes to run; a starting
value could be ``CPU * 2``. The default is only 1 worker, which is
probably not what you want for the default worker type.
Logs for each request aren't shown by default, only worker info and
errors are shown. To show access logs on stdout, use the
``--access-logfile=-`` option.
Binding Externally
------------------
Gunicorn should not be run as root because it would cause your
application code to run as root, which is not secure. However, this
means it will not be possible to bind to port 80 or 443. Instead, a
reverse proxy such as :doc:`nginx` or :doc:`apache-httpd` should be used
in front of Gunicorn.
You can bind to all external IPs on a non-privileged port using the
``-b 0.0.0.0`` option. Don't do this when using a reverse proxy setup,
otherwise it will be possible to bypass the proxy.
.. code-block:: text
$ gunicorn -w 4 -b 0.0.0.0 'hello:create_app()'
Listening at: http://0.0.0.0:8000 (x)
``0.0.0.0`` is not a valid address to navigate to, you'd use a specific
IP address in your browser.
Async with gevent
-----------------
The default sync worker is appropriate for most use cases. If you need numerous,
long running, concurrent connections, Gunicorn provides an asynchronous worker
using `gevent`_. This is not the same as Python's ``async/await``, or the ASGI
server spec. See :doc:`/gevent` for more information about enabling it in your
application.
.. _gevent: https://www.gevent.org/
When using gevent, greenlet>=1.0 is required. When using PyPy, PyPy>=7.3.7 is
required.
.. code-block:: text
$ gunicorn -k gevent 'hello:create_app()'
Starting gunicorn 20.1.0
Listening at: http://127.0.0.1:8000 (x)
Using worker: gevent
Booting worker with pid: x

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Deploying to Production Deployment Options
======================= ==================
After developing your application, you'll want to make it available While lightweight and easy to use, **Flask's built-in server is not suitable
publicly to other users. When you're developing locally, you're probably for production** as it doesn't scale well. Some of the options available for
using the built-in development server, debugger, and reloader. These properly running Flask in production are documented here.
should not be used in production. Instead, you should use a dedicated
WSGI server or hosting platform, some of which will be described here.
"Production" means "not development", which applies whether you're If you want to deploy your Flask application to a WSGI server not listed here,
serving your application publicly to millions of users or privately / look up the server documentation about how to use a WSGI app with it. Just
locally to a single user. **Do not use the development server when remember that your :class:`Flask` application object is the actual WSGI
deploying to production. It is intended for use only during local application.
development. It is not designed to be particularly secure, stable, or
efficient.**
Self-Hosted Options
Hosted options
--------------
- `Deploying Flask on Heroku <https://devcenter.heroku.com/articles/getting-started-with-python>`_
- `Deploying Flask on Google App Engine <https://cloud.google.com/appengine/docs/standard/python3/runtime>`_
- `Deploying Flask on Google Cloud Run <https://cloud.google.com/run/docs/quickstarts/build-and-deploy/python>`_
- `Deploying Flask on AWS Elastic Beanstalk <https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create-deploy-python-flask.html>`_
- `Deploying on Azure (IIS) <https://docs.microsoft.com/en-us/azure/app-service/containers/how-to-configure-python>`_
- `Deploying on PythonAnywhere <https://help.pythonanywhere.com/pages/Flask/>`_
Self-hosted options
------------------- -------------------
Flask is a WSGI *application*. A WSGI *server* is used to run the
application, converting incoming HTTP requests to the standard WSGI
environ, and converting outgoing WSGI responses to HTTP responses.
The primary goal of these docs is to familiarize you with the concepts
involved in running a WSGI application using a production WSGI server
and HTTP server. There are many WSGI servers and HTTP servers, with many
configuration possibilities. The pages below discuss the most common
servers, and show the basics of running each one. The next section
discusses platforms that can manage this for you.
.. toctree:: .. toctree::
:maxdepth: 1 :maxdepth: 2
gunicorn wsgi-standalone
waitress uwsgi
mod_wsgi mod_wsgi
uwsgi fastcgi
gevent cgi
asgi asgi
WSGI servers have HTTP servers built-in. However, a dedicated HTTP
server may be safer, more efficient, or more capable. Putting an HTTP
server in front of the WSGI server is called a "reverse proxy."
.. toctree::
:maxdepth: 1
proxy_fix
nginx
apache-httpd
This list is not exhaustive, and you should evaluate these and other
servers based on your application's needs. Different servers will have
different capabilities, configuration, and support.
Hosting Platforms
-----------------
There are many services available for hosting web applications without
needing to maintain your own server, networking, domain, etc. Some
services may have a free tier up to a certain time or bandwidth. Many of
these services use one of the WSGI servers described above, or a similar
interface. The links below are for some of the most common platforms,
which have instructions for Flask, WSGI, or Python.
- `PythonAnywhere <https://help.pythonanywhere.com/pages/Flask/>`_
- `Google App Engine <https://cloud.google.com/appengine/docs/standard/python3/building-app>`_
- `Google Cloud Run <https://cloud.google.com/run/docs/quickstarts/build-and-deploy/deploy-python-service>`_
- `AWS Elastic Beanstalk <https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create-deploy-python-flask.html>`_
- `Microsoft Azure <https://docs.microsoft.com/en-us/azure/app-service/quickstart-python>`_
This list is not exhaustive, and you should evaluate these and other
services based on your application's needs. Different services will have
different capabilities, configuration, pricing, and support.
You'll probably need to :doc:`proxy_fix` when using most hosting
platforms.

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mod_wsgi mod_wsgi (Apache)
======== =================
`mod_wsgi`_ is a WSGI server integrated with the `Apache httpd`_ server. If you are using the `Apache`_ webserver, consider using `mod_wsgi`_.
The modern `mod_wsgi-express`_ command makes it easy to configure and
start the server without needing to write Apache httpd configuration.
* Tightly integrated with Apache httpd. .. admonition:: Watch Out
* Supports Windows directly.
* Requires a compiler and the Apache development headers to install.
* Does not require a reverse proxy setup.
This page outlines the basics of running mod_wsgi-express, not the more Please make sure in advance that any ``app.run()`` calls you might
complex installation and configuration with httpd. Be sure to read the have in your application file are inside an ``if __name__ ==
`mod_wsgi-express`_, `mod_wsgi`_, and `Apache httpd`_ documentation to '__main__':`` block or moved to a separate file. Just make sure it's
understand what features are available. not called because this will always start a local WSGI server which
we do not want if we deploy that application to mod_wsgi.
.. _mod_wsgi-express: https://pypi.org/project/mod-wsgi/ .. _Apache: https://httpd.apache.org/
.. _mod_wsgi: https://modwsgi.readthedocs.io/
.. _Apache httpd: https://httpd.apache.org/
Installing `mod_wsgi`
---------------------
Installing If you don't have `mod_wsgi` installed yet you have to either install it
---------- using a package manager or compile it yourself. The mod_wsgi
`installation instructions`_ cover source installations on UNIX systems.
Installing mod_wsgi requires a compiler and the Apache server and If you are using Ubuntu/Debian you can apt-get it and activate it as
development headers installed. You will get an error if they are not. follows:
How to install them depends on the OS and package manager that you use.
Create a virtualenv, install your application, then install .. sourcecode:: text
``mod_wsgi``.
.. code-block:: text $ apt-get install libapache2-mod-wsgi-py3
$ cd hello-app If you are using a yum based distribution (Fedora, OpenSUSE, etc..) you
$ python -m venv .venv can install it as follows:
$ . .venv/bin/activate
$ pip install . # install your application
$ pip install mod_wsgi
.. sourcecode:: text
Running $ yum install mod_wsgi
-------
The only argument to ``mod_wsgi-express`` specifies a script containing On FreeBSD install `mod_wsgi` by compiling the `www/mod_wsgi` port or by
your Flask application, which must be called ``application``. You can using pkg_add:
write a small script to import your app with this name, or to create it
if using the app factory pattern.
.. code-block:: python .. sourcecode:: text
:caption: ``wsgi.py``
from hello import app $ pkg install ap24-py37-mod_wsgi
application = app If you are using pkgsrc you can install `mod_wsgi` by compiling the
`www/ap2-wsgi` package.
.. code-block:: python If you encounter segfaulting child processes after the first apache
:caption: ``wsgi.py`` reload you can safely ignore them. Just restart the server.
from hello import create_app Creating a `.wsgi` file
-----------------------
To run your application you need a :file:`yourapplication.wsgi` file.
This file contains the code `mod_wsgi` is executing on startup
to get the application object. The object called `application`
in that file is then used as application.
For most applications the following file should be sufficient::
from yourapplication import app as application
If a factory function is used in a :file:`__init__.py` file, then the function should be imported::
from yourapplication import create_app
application = create_app() application = create_app()
Now run the ``mod_wsgi-express start-server`` command. If you don't have a factory function for application creation but a singleton
instance you can directly import that one as `application`.
.. code-block:: text Store that file somewhere that you will find it again (e.g.:
:file:`/var/www/yourapplication`) and make sure that `yourapplication` and all
the libraries that are in use are on the python load path. If you don't
want to install it system wide consider using a `virtual python`_
instance. Keep in mind that you will have to actually install your
application into the virtualenv as well. Alternatively there is the
option to just patch the path in the ``.wsgi`` file before the import::
$ mod_wsgi-express start-server wsgi.py --processes 4 import sys
sys.path.insert(0, '/path/to/the/application')
The ``--processes`` option specifies the number of worker processes to Configuring Apache
run; a starting value could be ``CPU * 2``.
Logs for each request aren't show in the terminal. If an error occurs,
its information is written to the error log file shown when starting the
server.
Binding Externally
------------------ ------------------
Unlike the other WSGI servers in these docs, mod_wsgi can be run as The last thing you have to do is to create an Apache configuration file
root to bind to privileged ports like 80 and 443. However, it must be for your application. In this example we are telling `mod_wsgi` to
configured to drop permissions to a different user and group for the execute the application under a different user for security reasons:
worker processes.
For example, if you created a ``hello`` user and group, you should .. sourcecode:: apache
install your virtualenv and application as that user, then tell
mod_wsgi to drop to that user after starting.
.. code-block:: text <VirtualHost *>
ServerName example.com
$ sudo /home/hello/.venv/bin/mod_wsgi-express start-server \ WSGIDaemonProcess yourapplication user=user1 group=group1 threads=5
/home/hello/wsgi.py \ WSGIScriptAlias / /var/www/yourapplication/yourapplication.wsgi
--user hello --group hello --port 80 --processes 4
<Directory /var/www/yourapplication>
WSGIProcessGroup yourapplication
WSGIApplicationGroup %{GLOBAL}
Order deny,allow
Allow from all
</Directory>
</VirtualHost>
Note: WSGIDaemonProcess isn't implemented in Windows and Apache will
refuse to run with the above configuration. On a Windows system, eliminate those lines:
.. sourcecode:: apache
<VirtualHost *>
ServerName example.com
WSGIScriptAlias / C:\yourdir\yourapp.wsgi
<Directory C:\yourdir>
Order deny,allow
Allow from all
</Directory>
</VirtualHost>
Note: There have been some changes in access control configuration
for `Apache 2.4`_.
.. _Apache 2.4: https://httpd.apache.org/docs/trunk/upgrading.html
Most notably, the syntax for directory permissions has changed from httpd 2.2
.. sourcecode:: apache
Order allow,deny
Allow from all
to httpd 2.4 syntax
.. sourcecode:: apache
Require all granted
For more information consult the `mod_wsgi documentation`_.
.. _mod_wsgi: https://github.com/GrahamDumpleton/mod_wsgi
.. _installation instructions: https://modwsgi.readthedocs.io/en/develop/installation.html
.. _virtual python: https://pypi.org/project/virtualenv/
.. _mod_wsgi documentation: https://modwsgi.readthedocs.io/en/develop/index.html
Troubleshooting
---------------
If your application does not run, follow this guide to troubleshoot:
**Problem:** application does not run, errorlog shows SystemExit ignored
You have an ``app.run()`` call in your application file that is not
guarded by an ``if __name__ == '__main__':`` condition. Either
remove that :meth:`~flask.Flask.run` call from the file and move it
into a separate :file:`run.py` file or put it into such an if block.
**Problem:** application gives permission errors
Probably caused by your application running as the wrong user. Make
sure the folders the application needs access to have the proper
privileges set and the application runs as the correct user
(``user`` and ``group`` parameter to the `WSGIDaemonProcess`
directive)
**Problem:** application dies with an error on print
Keep in mind that mod_wsgi disallows doing anything with
:data:`sys.stdout` and :data:`sys.stderr`. You can disable this
protection from the config by setting the `WSGIRestrictStdout` to
``off``:
.. sourcecode:: apache
WSGIRestrictStdout Off
Alternatively you can also replace the standard out in the .wsgi file
with a different stream::
import sys
sys.stdout = sys.stderr
**Problem:** accessing resources gives IO errors
Your application probably is a single .py file you symlinked into
the site-packages folder. Please be aware that this does not work,
instead you either have to put the folder into the pythonpath the
file is stored in, or convert your application into a package.
The reason for this is that for non-installed packages, the module
filename is used to locate the resources and for symlinks the wrong
filename is picked up.
Support for Automatic Reloading
-------------------------------
To help deployment tools you can activate support for automatic
reloading. Whenever something changes the ``.wsgi`` file, `mod_wsgi` will
reload all the daemon processes for us.
For that, just add the following directive to your `Directory` section:
.. sourcecode:: apache
WSGIScriptReloading On
Working with Virtual Environments
---------------------------------
Virtual environments have the advantage that they never install the
required dependencies system wide so you have a better control over what
is used where. If you want to use a virtual environment with mod_wsgi
you have to modify your ``.wsgi`` file slightly.
Add the following lines to the top of your ``.wsgi`` file::
activate_this = '/path/to/env/bin/activate_this.py'
with open(activate_this) as file_:
exec(file_.read(), dict(__file__=activate_this))
This sets up the load paths according to the settings of the virtual
environment. Keep in mind that the path has to be absolute.

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@ -1,69 +0,0 @@
nginx
=====
`nginx`_ is a fast, production level HTTP server. When serving your
application with one of the WSGI servers listed in :doc:`index`, it is
often good or necessary to put a dedicated HTTP server in front of it.
This "reverse proxy" can handle incoming requests, TLS, and other
security and performance concerns better than the WSGI server.
Nginx can be installed using your system package manager, or a pre-built
executable for Windows. Installing and running Nginx itself is outside
the scope of this doc. This page outlines the basics of configuring
Nginx to proxy your application. Be sure to read its documentation to
understand what features are available.
.. _nginx: https://nginx.org/
Domain Name
-----------
Acquiring and configuring a domain name is outside the scope of this
doc. In general, you will buy a domain name from a registrar, pay for
server space with a hosting provider, and then point your registrar
at the hosting provider's name servers.
To simulate this, you can also edit your ``hosts`` file, located at
``/etc/hosts`` on Linux. Add a line that associates a name with the
local IP.
Modern Linux systems may be configured to treat any domain name that
ends with ``.localhost`` like this without adding it to the ``hosts``
file.
.. code-block:: python
:caption: ``/etc/hosts``
127.0.0.1 hello.localhost
Configuration
-------------
The nginx configuration is located at ``/etc/nginx/nginx.conf`` on
Linux. It may be different depending on your operating system. Check the
docs and look for ``nginx.conf``.
Remove or comment out any existing ``server`` section. Add a ``server``
section and use the ``proxy_pass`` directive to point to the address the
WSGI server is listening on. We'll assume the WSGI server is listening
locally at ``http://127.0.0.1:8000``.
.. code-block:: nginx
:caption: ``/etc/nginx.conf``
server {
listen 80;
server_name _;
location / {
proxy_pass http://127.0.0.1:8000/;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header X-Forwarded-Host $host;
proxy_set_header X-Forwarded-Prefix /;
}
}
Then :doc:`proxy_fix` so that your application uses these headers.

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@ -1,33 +0,0 @@
Tell Flask it is Behind a Proxy
===============================
When using a reverse proxy, or many Python hosting platforms, the proxy
will intercept and forward all external requests to the local WSGI
server.
From the WSGI server and Flask application's perspectives, requests are
now coming from the HTTP server to the local address, rather than from
the remote address to the external server address.
HTTP servers should set ``X-Forwarded-`` headers to pass on the real
values to the application. The application can then be told to trust and
use those values by wrapping it with the
:doc:`werkzeug:middleware/proxy_fix` middleware provided by Werkzeug.
This middleware should only be used if the application is actually
behind a proxy, and should be configured with the number of proxies that
are chained in front of it. Not all proxies set all the headers. Since
incoming headers can be faked, you must set how many proxies are setting
each header so the middleware knows what to trust.
.. code-block:: python
from werkzeug.middleware.proxy_fix import ProxyFix
app.wsgi_app = ProxyFix(
app.wsgi_app, x_for=1, x_proto=1, x_host=1, x_prefix=1
)
Remember, only apply this middleware if you are behind a proxy, and set
the correct number of proxies that set each header. It can be a security
issue if you get this configuration wrong.

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@ -1,143 +1,71 @@
uWSGI uWSGI
===== =====
`uWSGI`_ is a fast, compiled server suite with extensive configuration uWSGI is a deployment option on servers like `nginx`_, `lighttpd`_, and
and capabilities beyond a basic server. `cherokee`_; see :doc:`fastcgi` and :doc:`wsgi-standalone` for other options.
To use your WSGI application with uWSGI protocol you will need a uWSGI server
first. uWSGI is both a protocol and an application server; the application
server can serve uWSGI, FastCGI, and HTTP protocols.
* It can be very performant due to being a compiled program. The most popular uWSGI server is `uwsgi`_, which we will use for this
* It is complex to configure beyond the basic application, and has so guide. Make sure to have it installed to follow along.
many options that it can be difficult for beginners to understand.
* It does not support Windows (but does run on WSL).
* It requires a compiler to install in some cases.
This page outlines the basics of running uWSGI. Be sure to read its .. admonition:: Watch Out
documentation to understand what features are available.
.. _uWSGI: https://uwsgi-docs.readthedocs.io/en/latest/ Please make sure in advance that any ``app.run()`` calls you might
have in your application file are inside an ``if __name__ ==
'__main__':`` block or moved to a separate file. Just make sure it's
not called because this will always start a local WSGI server which
we do not want if we deploy that application to uWSGI.
Starting your app with uwsgi
----------------------------
Installing `uwsgi` is designed to operate on WSGI callables found in python modules.
----------
uWSGI has multiple ways to install it. The most straightforward is to Given a flask application in myapp.py, use the following command:
install the ``pyuwsgi`` package, which provides precompiled wheels for
common platforms. However, it does not provide SSL support, which can be
provided with a reverse proxy instead.
Create a virtualenv, install your application, then install ``pyuwsgi``. .. sourcecode:: text
.. code-block:: text $ uwsgi -s /tmp/yourapplication.sock --manage-script-name --mount /yourapplication=myapp:app
$ cd hello-app The ``--manage-script-name`` will move the handling of ``SCRIPT_NAME``
$ python -m venv .venv to uwsgi, since it is smarter about that.
$ . .venv/bin/activate It is used together with the ``--mount`` directive which will make
$ pip install . # install your application requests to ``/yourapplication`` be directed to ``myapp:app``.
$ pip install pyuwsgi If your application is accessible at root level, you can use a
single ``/`` instead of ``/yourapplication``. ``myapp`` refers to the name of
the file of your flask application (without extension) or the module which
provides ``app``. ``app`` is the callable inside of your application (usually
the line reads ``app = Flask(__name__)``).
If you have a compiler available, you can install the ``uwsgi`` package If you want to deploy your flask application inside of a virtual environment,
instead. Or install the ``pyuwsgi`` package from sdist instead of wheel. you need to also add ``--virtualenv /path/to/virtual/environment``. You might
Either method will include SSL support. also need to add ``--plugin python`` or ``--plugin python3`` depending on which
python version you use for your project.
.. code-block:: text Configuring nginx
$ pip install uwsgi
# or
$ pip install --no-binary pyuwsgi pyuwsgi
Running
-------
The most basic way to run uWSGI is to tell it to start an HTTP server
and import your application.
.. code-block:: text
$ uwsgi --http 127.0.0.1:8000 --master -p 4 -w hello:app
*** Starting uWSGI 2.0.20 (64bit) on [x] ***
*** Operational MODE: preforking ***
mounting hello:app on /
spawned uWSGI master process (pid: x)
spawned uWSGI worker 1 (pid: x, cores: 1)
spawned uWSGI worker 2 (pid: x, cores: 1)
spawned uWSGI worker 3 (pid: x, cores: 1)
spawned uWSGI worker 4 (pid: x, cores: 1)
spawned uWSGI http 1 (pid: x)
If you're using the app factory pattern, you'll need to create a small
Python file to create the app, then point uWSGI at that.
.. code-block:: python
:caption: ``wsgi.py``
from hello import create_app
app = create_app()
.. code-block:: text
$ uwsgi --http 127.0.0.1:8000 --master -p 4 -w wsgi:app
The ``--http`` option starts an HTTP server at 127.0.0.1 port 8000. The
``--master`` option specifies the standard worker manager. The ``-p``
option starts 4 worker processes; a starting value could be ``CPU * 2``.
The ``-w`` option tells uWSGI how to import your application
Binding Externally
------------------
uWSGI should not be run as root with the configuration shown in this doc
because it would cause your application code to run as root, which is
not secure. However, this means it will not be possible to bind to port
80 or 443. Instead, a reverse proxy such as :doc:`nginx` or
:doc:`apache-httpd` should be used in front of uWSGI. It is possible to
run uWSGI as root securely, but that is beyond the scope of this doc.
uWSGI has optimized integration with `Nginx uWSGI`_ and
`Apache mod_proxy_uwsgi`_, and possibly other servers, instead of using
a standard HTTP proxy. That configuration is beyond the scope of this
doc, see the links for more information.
.. _Nginx uWSGI: https://uwsgi-docs.readthedocs.io/en/latest/Nginx.html
.. _Apache mod_proxy_uwsgi: https://uwsgi-docs.readthedocs.io/en/latest/Apache.html#mod-proxy-uwsgi
You can bind to all external IPs on a non-privileged port using the
``--http 0.0.0.0:8000`` option. Don't do this when using a reverse proxy
setup, otherwise it will be possible to bypass the proxy.
.. code-block:: text
$ uwsgi --http 0.0.0.0:8000 --master -p 4 -w wsgi:app
``0.0.0.0`` is not a valid address to navigate to, you'd use a specific
IP address in your browser.
Async with gevent
----------------- -----------------
The default sync worker is appropriate for most use cases. If you need numerous, A basic flask nginx configuration looks like this::
long running, concurrent connections, uWSGI provides an asynchronous worker
using `gevent`_. This is not the same as Python's ``async/await``, or the ASGI
server spec. See :doc:`/gevent` for more information about enabling it in your
application.
.. _gevent: https://www.gevent.org/ location = /yourapplication { rewrite ^ /yourapplication/; }
location /yourapplication { try_files $uri @yourapplication; }
location @yourapplication {
include uwsgi_params;
uwsgi_pass unix:/tmp/yourapplication.sock;
}
When using gevent, greenlet>=1.0 is required. When using PyPy, PyPy>=7.3.7 is This configuration binds the application to ``/yourapplication``. If you want
required. to have it in the URL root its a bit simpler::
.. code-block:: text location / { try_files $uri @yourapplication; }
location @yourapplication {
include uwsgi_params;
uwsgi_pass unix:/tmp/yourapplication.sock;
}
$ uwsgi --http 127.0.0.1:8000 --master --gevent 100 -w wsgi:app .. _nginx: https://nginx.org/
.. _lighttpd: https://www.lighttpd.net/
*** Starting uWSGI 2.0.20 (64bit) on [x] *** .. _cherokee: https://cherokee-project.com/
*** Operational MODE: async *** .. _uwsgi: https://uwsgi-docs.readthedocs.io/en/latest/
mounting hello:app on /
spawned uWSGI master process (pid: x)
spawned uWSGI worker 1 (pid: x, cores: 100)
spawned uWSGI http 1 (pid: x)
*** running gevent loop engine [addr:x] ***

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@ -1,75 +0,0 @@
Waitress
========
`Waitress`_ is a pure Python WSGI server.
* It is easy to configure.
* It supports Windows directly.
* It is easy to install as it does not require additional dependencies
or compilation.
* It does not support streaming requests, full request data is always
buffered.
* It uses a single process with multiple thread workers.
This page outlines the basics of running Waitress. Be sure to read its
documentation and ``waitress-serve --help`` to understand what features
are available.
.. _Waitress: https://docs.pylonsproject.org/projects/waitress/
Installing
----------
Create a virtualenv, install your application, then install
``waitress``.
.. code-block:: text
$ cd hello-app
$ python -m venv .venv
$ . .venv/bin/activate
$ pip install . # install your application
$ pip install waitress
Running
-------
The only required argument to ``waitress-serve`` tells it how to load
your Flask application. The syntax is ``{module}:{app}``. ``module`` is
the dotted import name to the module with your application. ``app`` is
the variable with the application. If you're using the app factory
pattern, use ``--call {module}:{factory}`` instead.
.. code-block:: text
# equivalent to 'from hello import app'
$ waitress-serve --host 127.0.0.1 hello:app
# equivalent to 'from hello import create_app; create_app()'
$ waitress-serve --host 127.0.0.1 --call hello:create_app
Serving on http://127.0.0.1:8080
The ``--host`` option binds the server to local ``127.0.0.1`` only.
Logs for each request aren't shown, only errors are shown. Logging can
be configured through the Python interface instead of the command line.
Binding Externally
------------------
Waitress should not be run as root because it would cause your
application code to run as root, which is not secure. However, this
means it will not be possible to bind to port 80 or 443. Instead, a
reverse proxy such as :doc:`nginx` or :doc:`apache-httpd` should be used
in front of Waitress.
You can bind to all external IPs on a non-privileged port by not
specifying the ``--host`` option. Don't do this when using a reverse
proxy setup, otherwise it will be possible to bypass the proxy.
``0.0.0.0`` is not a valid address to navigate to, you'd use a specific
IP address in your browser.

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@ -0,0 +1,153 @@
Standalone WSGI Containers
==========================
There are popular servers written in Python that contain WSGI applications and
serve HTTP. These servers stand alone when they run; you can proxy to them
from your web server. Note the section on :ref:`deploying-proxy-setups` if you
run into issues.
Gunicorn
--------
`Gunicorn`_ 'Green Unicorn' is a WSGI HTTP Server for UNIX. It's a pre-fork
worker model ported from Ruby's Unicorn project. It supports both `eventlet`_
and `greenlet`_. Running a Flask application on this server is quite simple::
$ gunicorn myproject:app
`Gunicorn`_ provides many command-line options -- see ``gunicorn -h``.
For example, to run a Flask application with 4 worker processes (``-w
4``) binding to localhost port 4000 (``-b 127.0.0.1:4000``)::
$ gunicorn -w 4 -b 127.0.0.1:4000 myproject:app
The ``gunicorn`` command expects the names of your application module or
package and the application instance within the module. If you use the
application factory pattern, you can pass a call to that::
$ gunicorn "myproject:create_app()"
.. _Gunicorn: https://gunicorn.org/
.. _eventlet: https://eventlet.net/
uWSGI
--------
`uWSGI`_ is a fast application server written in C. It is very configurable
which makes it more complicated to setup than gunicorn.
Running `uWSGI HTTP Router`_::
$ uwsgi --http 127.0.0.1:5000 --module myproject:app
For a more optimized setup, see :doc:`configuring uWSGI and NGINX <uwsgi>`.
.. _uWSGI: https://uwsgi-docs.readthedocs.io/en/latest/
.. _uWSGI HTTP Router: https://uwsgi-docs.readthedocs.io/en/latest/HTTP.html#the-uwsgi-http-https-router
Gevent
-------
`Gevent`_ is a coroutine-based Python networking library that uses
`greenlet`_ to provide a high-level synchronous API on top of `libev`_
event loop::
from gevent.pywsgi import WSGIServer
from yourapplication import app
http_server = WSGIServer(('', 5000), app)
http_server.serve_forever()
.. _Gevent: http://www.gevent.org/
.. _greenlet: https://greenlet.readthedocs.io/en/latest/
.. _libev: http://software.schmorp.de/pkg/libev.html
Twisted Web
-----------
`Twisted Web`_ is the web server shipped with `Twisted`_, a mature,
non-blocking event-driven networking library. Twisted Web comes with a
standard WSGI container which can be controlled from the command line using
the ``twistd`` utility::
$ twistd web --wsgi myproject.app
This example will run a Flask application called ``app`` from a module named
``myproject``.
Twisted Web supports many flags and options, and the ``twistd`` utility does
as well; see ``twistd -h`` and ``twistd web -h`` for more information. For
example, to run a Twisted Web server in the foreground, on port 8080, with an
application from ``myproject``::
$ twistd -n web --port tcp:8080 --wsgi myproject.app
.. _Twisted: https://twistedmatrix.com/trac/
.. _Twisted Web: https://twistedmatrix.com/trac/wiki/TwistedWeb
.. _deploying-proxy-setups:
Proxy Setups
------------
If you deploy your application using one of these servers behind an HTTP proxy
you will need to rewrite a few headers in order for the application to work.
The two problematic values in the WSGI environment usually are ``REMOTE_ADDR``
and ``HTTP_HOST``. You can configure your httpd to pass these headers, or you
can fix them in middleware. Werkzeug ships a fixer that will solve some common
setups, but you might want to write your own WSGI middleware for specific
setups.
Here's a simple nginx configuration which proxies to an application served on
localhost at port 8000, setting appropriate headers:
.. sourcecode:: nginx
server {
listen 80;
server_name _;
access_log /var/log/nginx/access.log;
error_log /var/log/nginx/error.log;
location / {
proxy_pass http://127.0.0.1:8000/;
proxy_redirect off;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
}
}
If your httpd is not providing these headers, the most common setup invokes the
host being set from ``X-Forwarded-Host`` and the remote address from
``X-Forwarded-For``::
from werkzeug.middleware.proxy_fix import ProxyFix
app.wsgi_app = ProxyFix(app.wsgi_app, x_proto=1, x_host=1)
.. admonition:: Trusting Headers
Please keep in mind that it is a security issue to use such a middleware in
a non-proxy setup because it will blindly trust the incoming headers which
might be forged by malicious clients.
If you want to rewrite the headers from another header, you might want to
use a fixer like this::
class CustomProxyFix(object):
def __init__(self, app):
self.app = app
def __call__(self, environ, start_response):
host = environ.get('HTTP_X_FHOST', '')
if host:
environ['HTTP_HOST'] = host
return self.app(environ, start_response)
app.wsgi_app = CustomProxyFix(app.wsgi_app)

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@ -96,10 +96,10 @@ is ambiguous.
One Template Engine One Template Engine
------------------- -------------------
Flask decides on one template engine: Jinja. Why doesn't Flask have a Flask decides on one template engine: Jinja2. Why doesn't Flask have a
pluggable template engine interface? You can obviously use a different pluggable template engine interface? You can obviously use a different
template engine, but Flask will still configure Jinja for you. While template engine, but Flask will still configure Jinja2 for you. While
that limitation that Jinja is *always* configured will probably go away, that limitation that Jinja2 is *always* configured will probably go away,
the decision to bundle one template engine and use that will not. the decision to bundle one template engine and use that will not.
Template engines are like programming languages and each of those engines Template engines are like programming languages and each of those engines
@ -107,7 +107,7 @@ has a certain understanding about how things work. On the surface they
all work the same: you tell the engine to evaluate a template with a set all work the same: you tell the engine to evaluate a template with a set
of variables and take the return value as string. of variables and take the return value as string.
But that's about where similarities end. Jinja for example has an But that's about where similarities end. Jinja2 for example has an
extensive filter system, a certain way to do template inheritance, extensive filter system, a certain way to do template inheritance,
support for reusable blocks (macros) that can be used from inside support for reusable blocks (macros) that can be used from inside
templates and also from Python code, supports iterative template templates and also from Python code, supports iterative template
@ -118,8 +118,8 @@ other hand treats templates similar to Python modules.
When it comes to connecting a template engine with an application or When it comes to connecting a template engine with an application or
framework there is more than just rendering templates. For instance, framework there is more than just rendering templates. For instance,
Flask uses Jinja's extensive autoescaping support. Also it provides Flask uses Jinja2's extensive autoescaping support. Also it provides
ways to access macros from Jinja templates. ways to access macros from Jinja2 templates.
A template abstraction layer that would not take the unique features of A template abstraction layer that would not take the unique features of
the template engines away is a science on its own and a too large the template engines away is a science on its own and a too large
@ -130,27 +130,11 @@ being present. You can easily use your own templating language, but an
extension could still depend on Jinja itself. extension could still depend on Jinja itself.
What does "micro" mean? Micro with Dependencies
----------------------- -----------------------
“Micro” does not mean that your whole web application has to fit into a single
Python file (although it certainly can), nor does it mean that Flask is lacking
in functionality. The "micro" in microframework means Flask aims to keep the
core simple but extensible. Flask won't make many decisions for you, such as
what database to use. Those decisions that it does make, such as what
templating engine to use, are easy to change. Everything else is up to you, so
that Flask can be everything you need and nothing you don't.
By default, Flask does not include a database abstraction layer, form
validation or anything else where different libraries already exist that can
handle that. Instead, Flask supports extensions to add such functionality to
your application as if it was implemented in Flask itself. Numerous extensions
provide database integration, form validation, upload handling, various open
authentication technologies, and more. Flask may be "micro", but it's ready for
production use on a variety of needs.
Why does Flask call itself a microframework and yet it depends on two Why does Flask call itself a microframework and yet it depends on two
libraries (namely Werkzeug and Jinja). Why shouldn't it? If we look libraries (namely Werkzeug and Jinja2). Why shouldn't it? If we look
over to the Ruby side of web development there we have a protocol very over to the Ruby side of web development there we have a protocol very
similar to WSGI. Just that it's called Rack there, but besides that it similar to WSGI. Just that it's called Rack there, but besides that it
looks very much like a WSGI rendition for Ruby. But nearly all looks very much like a WSGI rendition for Ruby. But nearly all
@ -169,20 +153,22 @@ infrastructure, packages with dependencies are no longer an issue and
there are very few reasons against having libraries that depend on others. there are very few reasons against having libraries that depend on others.
Context Locals Thread Locals
-------------- -------------
Flask uses special context locals and proxies to provide access to the Flask uses thread local objects (context local objects in fact, they
current app and request data to any code running during a request, CLI command, support greenlet contexts as well) for request, session and an extra
etc. Context locals are specific to the worker handling the activity, such as a object you can put your own things on (:data:`~flask.g`). Why is that and
thread, process, coroutine, or greenlet. isn't that a bad idea?
The context and proxies help solve two development issues: circular imports, and Yes it is usually not such a bright idea to use thread locals. They cause
passing around global data. :data:`.current_app` can be used to access the troubles for servers that are not based on the concept of threads and make
application object without needing to import the app object directly, avoiding large applications harder to maintain. However Flask is just not designed
circular import issues. :data:`.request`, :data:`.session`, and :data:`.g` can for large applications or asynchronous servers. Flask wants to make it
be imported to access the current data for the request, rather than needing to quick and easy to write a traditional web application.
pass them as arguments through every single function in your project.
Also see the :doc:`/becomingbig` section of the documentation for some
inspiration for larger applications based on Flask.
Async/await and ASGI support Async/await and ASGI support
@ -209,7 +195,7 @@ What Flask is, What Flask is Not
Flask will never have a database layer. It will not have a form library Flask will never have a database layer. It will not have a form library
or anything else in that direction. Flask itself just bridges to Werkzeug or anything else in that direction. Flask itself just bridges to Werkzeug
to implement a proper WSGI application and to Jinja to handle templating. to implement a proper WSGI application and to Jinja2 to handle templating.
It also binds to a few common standard library packages such as logging. It also binds to a few common standard library packages such as logging.
Everything else is up for extensions. Everything else is up for extensions.
@ -218,12 +204,5 @@ requirements and Flask could not meet those if it would force any of this
into the core. The majority of web applications will need a template into the core. The majority of web applications will need a template
engine in some sort. However not every application needs a SQL database. engine in some sort. However not every application needs a SQL database.
As your codebase grows, you are free to make the design decisions appropriate
for your project. Flask will continue to provide a very simple glue layer to
the best that Python has to offer. You can implement advanced patterns in
SQLAlchemy or another database tool, introduce non-relational data persistence
as appropriate, and take advantage of framework-agnostic tools built for WSGI,
the Python web interface.
The idea of Flask is to build a good foundation for all applications. The idea of Flask is to build a good foundation for all applications.
Everything else is up to you or extensions. Everything else is up to you or extensions.

View file

@ -69,6 +69,7 @@ See also:
- Sentry also supports catching errors from a worker queue - Sentry also supports catching errors from a worker queue
(RQ, Celery, etc.) in a similar fashion. See the `Python SDK docs (RQ, Celery, etc.) in a similar fashion. See the `Python SDK docs
<https://docs.sentry.io/platforms/python/>`__ for more information. <https://docs.sentry.io/platforms/python/>`__ for more information.
- `Getting started with Sentry <https://docs.sentry.io/quickstart/?platform=python>`__
- `Flask-specific documentation <https://docs.sentry.io/platforms/python/guides/flask/>`__ - `Flask-specific documentation <https://docs.sentry.io/platforms/python/guides/flask/>`__
@ -150,7 +151,7 @@ If a route receives an unallowed request method, a "405 Method Not Allowed"
subclasses of :class:`~werkzeug.exceptions.HTTPException` and are provided by subclasses of :class:`~werkzeug.exceptions.HTTPException` and are provided by
default in Flask. default in Flask.
Flask gives you the ability to raise any HTTP exception registered by Flask gives you to the ability to raise any HTTP exception registered by
Werkzeug. However, the default HTTP exceptions return simple exception Werkzeug. However, the default HTTP exceptions return simple exception
pages. You might want to show custom error pages to the user when an error occurs. pages. You might want to show custom error pages to the user when an error occurs.
This can be done by registering error handlers. This can be done by registering error handlers.
@ -231,7 +232,7 @@ responses, you could also pass them through directly.
Error handlers still respect the exception class hierarchy. If you Error handlers still respect the exception class hierarchy. If you
register handlers for both ``HTTPException`` and ``Exception``, the register handlers for both ``HTTPException`` and ``Exception``, the
``Exception`` handler will not handle ``HTTPException`` subclasses ``Exception`` handler will not handle ``HTTPException`` subclasses
because the ``HTTPException`` handler is more specific. because it the ``HTTPException`` handler is more specific.
Unhandled Exceptions Unhandled Exceptions
@ -488,7 +489,7 @@ This is a simple example:
@app.errorhandler(InvalidAPIUsage) @app.errorhandler(InvalidAPIUsage)
def invalid_api_usage(e): def invalid_api_usage(e):
return jsonify(e.to_dict()), e.status_code return jsonify(e.to_dict())
# an API app route for getting user information # an API app route for getting user information
# a correct request might be /api/user?user_id=420 # a correct request might be /api/user?user_id=420

View file

@ -1,277 +1,310 @@
Flask Extension Development Flask Extension Development
=========================== ===========================
.. currentmodule:: flask Flask, being a microframework, often requires some repetitive steps to get
a third party library working. Many such extensions are already available
on `PyPI`_.
Extensions are extra packages that add functionality to a Flask If you want to create your own Flask extension for something that does not
application. While `PyPI`_ contains many Flask extensions, you may not exist yet, this guide to extension development will help you get your
find one that fits your need. If this is the case, you can create your extension running in no time and to feel like users would expect your
own, and publish it for others to use as well. extension to behave.
This guide will show how to create a Flask extension, and some of the Anatomy of an Extension
common patterns and requirements involved. Since extensions can do -----------------------
anything, this guide won't be able to cover every possibility.
The best ways to learn about extensions are to look at how other Extensions are all located in a package called ``flask_something``
extensions you use are written, and discuss with others. Discuss your where "something" is the name of the library you want to bridge. So for
design ideas with others on our `Discord Chat`_ or example if you plan to add support for a library named `simplexml` to
`GitHub Discussions`_. Flask, you would name your extension's package ``flask_simplexml``.
The best extensions share common patterns, so that anyone familiar with The name of the actual extension (the human readable name) however would
using one extension won't feel completely lost with another. This can be something like "Flask-SimpleXML". Make sure to include the name
only work if collaboration happens early. "Flask" somewhere in that name and that you check the capitalization.
This is how users can then register dependencies to your extension in
their :file:`setup.py` files.
But what do extensions look like themselves? An extension has to ensure
that it works with multiple Flask application instances at once. This is
a requirement because many people will use patterns like the
:doc:`/patterns/appfactories` pattern to create their application as
needed to aid unittests and to support multiple configurations. Because
of that it is crucial that your application supports that kind of
behavior.
Most importantly the extension must be shipped with a :file:`setup.py` file and
registered on PyPI. Also the development checkout link should work so
that people can easily install the development version into their
virtualenv without having to download the library by hand.
Flask extensions must be licensed under a BSD, MIT or more liberal license
in order to be listed in the Flask Extension Registry. Keep in mind
that the Flask Extension Registry is a moderated place and libraries will
be reviewed upfront if they behave as required.
"Hello Flaskext!"
-----------------
So let's get started with creating such a Flask extension. The extension
we want to create here will provide very basic support for SQLite3.
First we create the following folder structure::
flask-sqlite3/
flask_sqlite3.py
LICENSE
README
Here's the contents of the most important files:
setup.py
````````
The next file that is absolutely required is the :file:`setup.py` file which is
used to install your Flask extension. The following contents are
something you can work with::
"""
Flask-SQLite3
-------------
This is the description for that library
"""
from setuptools import setup
Naming setup(
------ name='Flask-SQLite3',
version='1.0',
url='http://example.com/flask-sqlite3/',
license='BSD',
author='Your Name',
author_email='your-email@example.com',
description='Very short description',
long_description=__doc__,
py_modules=['flask_sqlite3'],
# if you would be using a package instead use packages instead
# of py_modules:
# packages=['flask_sqlite3'],
zip_safe=False,
include_package_data=True,
platforms='any',
install_requires=[
'Flask'
],
classifiers=[
'Environment :: Web Environment',
'Intended Audience :: Developers',
'License :: OSI Approved :: BSD License',
'Operating System :: OS Independent',
'Programming Language :: Python',
'Topic :: Internet :: WWW/HTTP :: Dynamic Content',
'Topic :: Software Development :: Libraries :: Python Modules'
]
)
A Flask extension typically has ``flask`` in its name as a prefix or That's a lot of code but you can really just copy/paste that from existing
suffix. If it wraps another library, it should include the library name extensions and adapt.
as well. This makes it easy to search for extensions, and makes their
purpose clearer.
A general Python packaging recommendation is that the install name from flask_sqlite3.py
the package index and the name used in ``import`` statements should be ````````````````
related. The import name is lowercase, with words separated by
underscores (``_``). The install name is either lower case or title
case, with words separated by dashes (``-``). If it wraps another
library, prefer using the same case as that library's name.
Here are some example install and import names: Now this is where your extension code goes. But how exactly should such
an extension look like? What are the best practices? Continue reading
for some insight.
- ``Flask-Name`` imported as ``flask_name`` Initializing Extensions
- ``flask-name-lower`` imported as ``flask_name_lower`` -----------------------
- ``Flask-ComboName`` imported as ``flask_comboname``
- ``Name-Flask`` imported as ``name_flask`` Many extensions will need some kind of initialization step. For example,
consider an application that's currently connecting to SQLite like the
documentation suggests (:doc:`/patterns/sqlite3`). So how does the
extension know the name of the application object?
Quite simple: you pass it to it.
There are two recommended ways for an extension to initialize:
initialization functions:
If your extension is called `helloworld` you might have a function
called ``init_helloworld(app[, extra_args])`` that initializes the
extension for that application. It could attach before / after
handlers etc.
classes:
Classes work mostly like initialization functions but can later be
used to further change the behavior.
What to use depends on what you have in mind. For the SQLite 3 extension
we will use the class-based approach because it will provide users with an
object that handles opening and closing database connections.
When designing your classes, it's important to make them easily reusable
at the module level. This means the object itself must not under any
circumstances store any application specific state and must be shareable
between different applications.
The Extension Code
------------------
Here's the contents of the `flask_sqlite3.py` for copy/paste::
import sqlite3
from flask import current_app, _app_ctx_stack
The Extension Class and Initialization class SQLite3(object):
--------------------------------------
All extensions will need some entry point that initializes the
extension with the application. The most common pattern is to create a
class that represents the extension's configuration and behavior, with
an ``init_app`` method to apply the extension instance to the given
application instance.
.. code-block:: python
class HelloExtension:
def __init__(self, app=None): def __init__(self, app=None):
self.app = app
if app is not None: if app is not None:
self.init_app(app) self.init_app(app)
def init_app(self, app): def init_app(self, app):
app.before_request(...) app.config.setdefault('SQLITE3_DATABASE', ':memory:')
app.teardown_appcontext(self.teardown)
It is important that the app is not stored on the extension, don't do def connect(self):
``self.app = app``. The only time the extension should have direct return sqlite3.connect(current_app.config['SQLITE3_DATABASE'])
access to an app is during ``init_app``, otherwise it should use
:data:`.current_app`.
This allows the extension to support the application factory pattern, def teardown(self, exception):
avoids circular import issues when importing the extension instance ctx = _app_ctx_stack.top
elsewhere in a user's code, and makes testing with different if hasattr(ctx, 'sqlite3_db'):
configurations easier. ctx.sqlite3_db.close()
.. code-block:: python @property
def connection(self):
hello = HelloExtension() ctx = _app_ctx_stack.top
if ctx is not None:
def create_app(): if not hasattr(ctx, 'sqlite3_db'):
app = Flask(__name__) ctx.sqlite3_db = self.connect()
hello.init_app(app) return ctx.sqlite3_db
return app
Above, the ``hello`` extension instance exists independently of the
application. This means that other modules in a user's project can do
``from project import hello`` and use the extension in blueprints before
the app exists.
The :attr:`Flask.extensions` dict can be used to store a reference to
the extension on the application, or some other state specific to the
application. Be aware that this is a single namespace, so use a name
unique to your extension, such as the extension's name without the
"flask" prefix.
Adding Behavior So here's what these lines of code do:
---------------
There are many ways that an extension can add behavior. Any setup 1. The ``__init__`` method takes an optional app object and, if supplied, will
methods that are available on the :class:`Flask` object can be used call ``init_app``.
during an extension's ``init_app`` method. 2. The ``init_app`` method exists so that the ``SQLite3`` object can be
instantiated without requiring an app object. This method supports the
factory pattern for creating applications. The ``init_app`` will set the
configuration for the database, defaulting to an in memory database if
no configuration is supplied. In addition, the ``init_app`` method
attaches the ``teardown`` handler.
3. Next, we define a ``connect`` method that opens a database connection.
4. Finally, we add a ``connection`` property that on first access opens
the database connection and stores it on the context. This is also
the recommended way to handling resources: fetch resources lazily the
first time they are used.
A common pattern is to use :meth:`~Flask.before_request` to initialize Note here that we're attaching our database connection to the top
some data or a connection at the beginning of each request, then application context via ``_app_ctx_stack.top``. Extensions should use
:meth:`~Flask.teardown_request` to clean it up at the end. This can be the top context for storing their own information with a sufficiently
stored on :data:`.g`, discussed more below. complex name.
A more lazy approach is to provide a method that initializes and caches So why did we decide on a class-based approach here? Because using our
the data or connection. For example, a ``ext.get_db`` method could extension looks something like this::
create a database connection the first time it's called, so that a view
that doesn't use the database doesn't create a connection.
Besides doing something before and after every view, your extension from flask import Flask
might want to add some specific views as well. In this case, you could from flask_sqlite3 import SQLite3
define a :class:`Blueprint`, then call :meth:`~Flask.register_blueprint`
during ``init_app`` to add the blueprint to the app.
app = Flask(__name__)
app.config.from_pyfile('the-config.cfg')
db = SQLite3(app)
Configuration Techniques You can then use the database from views like this::
------------------------
There can be multiple levels and sources of configuration for an @app.route('/')
extension. You should consider what parts of your extension fall into def show_all():
each one. cur = db.connection.cursor()
cur.execute(...)
- Configuration per application instance, through ``app.config`` Likewise if you are outside of a request you can use the database by
values. This is configuration that could reasonably change for each pushing an app context::
deployment of an application. A common example is a URL to an
external resource, such as a database. Configuration keys should
start with the extension's name so that they don't interfere with
other extensions.
- Configuration per extension instance, through ``__init__``
arguments. This configuration usually affects how the extension
is used, such that it wouldn't make sense to change it per
deployment.
- Configuration per extension instance, through instance attributes
and decorator methods. It might be more ergonomic to assign to
``ext.value``, or use a ``@ext.register`` decorator to register a
function, after the extension instance has been created.
- Global configuration through class attributes. Changing a class
attribute like ``Ext.connection_class`` can customize default
behavior without making a subclass. This could be combined
per-extension configuration to override defaults.
- Subclassing and overriding methods and attributes. Making the API of
the extension itself something that can be overridden provides a
very powerful tool for advanced customization.
The :class:`~flask.Flask` object itself uses all of these techniques. with app.app_context():
cur = db.connection.cursor()
cur.execute(...)
It's up to you to decide what configuration is appropriate for your At the end of the ``with`` block the teardown handles will be executed
extension, based on what you need and what you want to support. automatically.
Configuration should not be changed after the application setup phase is Additionally, the ``init_app`` method is used to support the factory pattern
complete and the server begins handling requests. Configuration is for creating apps::
global, any changes to it are not guaranteed to be visible to other
workers.
db = SQLite3()
Data During a Request # Then later on.
--------------------- app = create_app('the-config.cfg')
When writing a Flask application, the :data:`~flask.g` object is used to
store information during a request. For example the
:doc:`tutorial <tutorial/database>` stores a connection to a SQLite
database as ``g.db``. Extensions can also use this, with some care.
Since ``g`` is a single global namespace, extensions must use unique
names that won't collide with user data. For example, use the extension
name as a prefix, or as a namespace.
.. code-block:: python
# an internal prefix with the extension name
g._hello_user_id = 2
# or an internal prefix as a namespace
from types import SimpleNamespace
g._hello = SimpleNamespace()
g._hello.user_id = 2
The data in ``g`` lasts for an application context. An application context is
active during a request, CLI command, or ``with app.app_context()`` block. If
you're storing something that should be closed, use
:meth:`~flask.Flask.teardown_appcontext` to ensure that it gets closed when the
app context ends. If it should only be valid during a request, or would not be
used in the CLI outside a request, use :meth:`~flask.Flask.teardown_request`.
Views and Models
----------------
Your extension views might want to interact with specific models in your
database, or some other extension or data connected to your application.
For example, let's consider a ``Flask-SimpleBlog`` extension that works
with Flask-SQLAlchemy to provide a ``Post`` model and views to write
and read posts.
The ``Post`` model needs to subclass the Flask-SQLAlchemy ``db.Model``
object, but that's only available once you've created an instance of
that extension, not when your extension is defining its views. So how
can the view code, defined before the model exists, access the model?
One method could be to use :doc:`views`. During ``__init__``, create
the model, then create the views by passing the model to the view
class's :meth:`~views.View.as_view` method.
.. code-block:: python
class PostAPI(MethodView):
def __init__(self, model):
self.model = model
def get(self, id):
post = self.model.query.get(id)
return jsonify(post.to_json())
class BlogExtension:
def __init__(self, db):
class Post(db.Model):
id = db.Column(primary_key=True)
title = db.Column(db.String, nullable=False)
self.post_model = Post
def init_app(self, app):
api_view = PostAPI.as_view(model=self.post_model)
db = SQLAlchemy()
blog = BlogExtension(db)
db.init_app(app) db.init_app(app)
blog.init_app(app)
Another technique could be to use an attribute on the extension, such as Keep in mind that supporting this factory pattern for creating apps is required
``self.post_model`` from above. Add the extension to ``app.extensions`` for approved flask extensions (described below).
in ``init_app``, then access
``current_app.extensions["simple_blog"].post_model`` from views.
You may also want to provide base classes so that users can provide .. admonition:: Note on ``init_app``
their own ``Post`` model that conforms to the API your extension
expects. So they could implement ``class Post(blog.BasePost)``, then
set it as ``blog.post_model``.
As you can see, this can get a bit complex. Unfortunately, there's no As you noticed, ``init_app`` does not assign ``app`` to ``self``. This
perfect solution here, only different strategies and tradeoffs depending is intentional! Class based Flask extensions must only store the
on your needs and how much customization you want to offer. Luckily, application on the object when the application was passed to the
this sort of resource dependency is not a common need for most constructor. This tells the extension: I am not interested in using
extensions. Remember, if you need help with design, ask on our multiple applications.
`Discord Chat`_ or `GitHub Discussions`_.
When the extension needs to find the current application and it does
not have a reference to it, it must either use the
:data:`~flask.current_app` context local or change the API in a way
that you can pass the application explicitly.
Recommended Extension Guidelines Using _app_ctx_stack
-------------------------------- --------------------
Flask previously had the concept of "approved extensions", where the In the example above, before every request, a ``sqlite3_db`` variable is
Flask maintainers evaluated the quality, support, and compatibility of assigned to ``_app_ctx_stack.top``. In a view function, this variable is
the extensions before listing them. While the list became too difficult accessible using the ``connection`` property of ``SQLite3``. During the
to maintain over time, the guidelines are still relevant to all teardown of a request, the ``sqlite3_db`` connection is closed. By using
extensions maintained and developed today, as they help the Flask this pattern, the *same* connection to the sqlite3 database is accessible
to anything that needs it for the duration of the request.
Learn from Others
-----------------
This documentation only touches the bare minimum for extension development.
If you want to learn more, it's a very good idea to check out existing extensions
on the `PyPI`_. If you feel lost there is still the `mailinglist`_ and the
`Discord server`_ to get some ideas for nice looking APIs. Especially if you do
something nobody before you did, it might be a very good idea to get some more
input. This not only generates useful feedback on what people might want from
an extension, but also avoids having multiple developers working in isolation
on pretty much the same problem.
Remember: good API design is hard, so introduce your project on the
mailing list, and let other developers give you a helping hand with
designing the API.
The best Flask extensions are extensions that share common idioms for the
API. And this can only work if collaboration happens early.
Approved Extensions
-------------------
Flask previously had the concept of approved extensions. These came with
some vetting of support and compatibility. While this list became too
difficult to maintain over time, the guidelines are still relevant to
all extensions maintained and developed today, as they help the Flask
ecosystem remain consistent and compatible. ecosystem remain consistent and compatible.
1. An extension requires a maintainer. In the event an extension author 0. An approved Flask extension requires a maintainer. In the event an
would like to move beyond the project, the project should find a new extension author would like to move beyond the project, the project
maintainer and transfer access to the repository, documentation, should find a new maintainer and transfer access to the repository,
PyPI, and any other services. The `Pallets-Eco`_ organization on documentation, PyPI, and any other services. If no maintainer
GitHub allows for community maintenance with oversight from the is available, give access to the Pallets core team.
Pallets maintainers. 1. The naming scheme is *Flask-ExtensionName* or *ExtensionName-Flask*.
2. The naming scheme is *Flask-ExtensionName* or *ExtensionName-Flask*.
It must provide exactly one package or module named It must provide exactly one package or module named
``flask_extension_name``. ``flask_extension_name``.
3. The extension must use an open source license. The Python web 2. The extension must be BSD or MIT licensed. It must be open source
ecosystem tends to prefer BSD or MIT. It must be open source and and publicly available.
publicly available. 3. The extension's API must have the following characteristics:
4. The extension's API must have the following characteristics:
- It must support multiple applications running in the same Python - It must support multiple applications running in the same Python
process. Use ``current_app`` instead of ``self.app``, store process. Use ``current_app`` instead of ``self.app``, store
@ -279,27 +312,21 @@ ecosystem remain consistent and compatible.
- It must be possible to use the factory pattern for creating - It must be possible to use the factory pattern for creating
applications. Use the ``ext.init_app()`` pattern. applications. Use the ``ext.init_app()`` pattern.
5. From a clone of the repository, an extension with its dependencies 4. From a clone of the repository, an extension with its dependencies
must be installable in editable mode with ``pip install -e .``. must be installable with ``pip install -e .``.
6. It must ship tests that can be invoked with a common tool like 5. It must ship a testing suite that can be invoked with ``tox -e py``
``tox -e py``, ``nox -s test`` or ``pytest``. If not using ``tox``, or ``pytest``. If not using ``tox``, the test dependencies should be
the test dependencies should be specified in a requirements file. specified in a ``requirements.txt`` file. The tests must be part of
The tests must be part of the sdist distribution. the sdist distribution.
7. A link to the documentation or project website must be in the PyPI 6. The documentation must use the ``flask`` theme from the
metadata or the readme. The documentation should use the Flask theme `Official Pallets Themes`_. A link to the documentation or project
from the `Official Pallets Themes`_. website must be in the PyPI metadata or the readme.
8. The extension's dependencies should not use upper bounds or assume 7. For maximum compatibility, the extension should support the same
any particular version scheme, but should use lower bounds to versions of Python that Flask supports. 3.6+ is recommended as of
indicate minimum compatibility support. For example, 2020. Use ``python_requires=">= 3.6"`` in ``setup.py`` to indicate
``sqlalchemy>=1.4``. supported versions.
9. Indicate the versions of Python supported using ``python_requires=">=version"``.
Flask and Pallets policy is to support all Python versions that are not
within six months of end of life (EOL). See Python's `EOL calendar`_ for
timing.
.. _PyPI: https://pypi.org/search/?c=Framework+%3A%3A+Flask .. _PyPI: https://pypi.org/search/?c=Framework+%3A%3A+Flask
.. _Discord Chat: https://discord.gg/pallets .. _mailinglist: https://mail.python.org/mailman/listinfo/flask
.. _GitHub Discussions: https://github.com/pallets/flask/discussions .. _Discord server: https://discord.gg/pallets
.. _Official Pallets Themes: https://pypi.org/project/Pallets-Sphinx-Themes/ .. _Official Pallets Themes: https://pypi.org/project/Pallets-Sphinx-Themes/
.. _Pallets-Eco: https://github.com/pallets-eco
.. _EOL calendar: https://devguide.python.org/versions/

View file

@ -39,10 +39,10 @@ an extension called "Flask-Foo" might be used like this::
Building Extensions Building Extensions
------------------- -------------------
While `PyPI <pypi_>`_ contains many Flask extensions, you may not find While the `PyPI <pypi_>`_ contains many Flask extensions, you may
an extension that fits your need. If this is the case, you can create not find an extension that fits your need. If this is the case, you can
your own, and publish it for others to use as well. Read create your own. Read :doc:`/extensiondev` to develop your own Flask
:doc:`extensiondev` to develop your own Flask extension. extension.
.. _pypi: https://pypi.org/search/?c=Framework+%3A%3A+Flask .. _pypi: https://pypi.org/search/?c=Framework+%3A%3A+Flask

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@ -0,0 +1,53 @@
Foreword
========
Read this before you get started with Flask. This hopefully answers some
questions about the purpose and goals of the project, and when you
should or should not be using it.
What does "micro" mean?
-----------------------
“Micro” does not mean that your whole web application has to fit into a single
Python file (although it certainly can), nor does it mean that Flask is lacking
in functionality. The "micro" in microframework means Flask aims to keep the
core simple but extensible. Flask won't make many decisions for you, such as
what database to use. Those decisions that it does make, such as what
templating engine to use, are easy to change. Everything else is up to you, so
that Flask can be everything you need and nothing you don't.
By default, Flask does not include a database abstraction layer, form
validation or anything else where different libraries already exist that can
handle that. Instead, Flask supports extensions to add such functionality to
your application as if it was implemented in Flask itself. Numerous extensions
provide database integration, form validation, upload handling, various open
authentication technologies, and more. Flask may be "micro", but it's ready for
production use on a variety of needs.
Configuration and Conventions
-----------------------------
Flask has many configuration values, with sensible defaults, and a few
conventions when getting started. By convention, templates and static
files are stored in subdirectories within the application's Python
source tree, with the names :file:`templates` and :file:`static`
respectively. While this can be changed, you usually don't have to,
especially when getting started.
Growing with Flask
------------------
Once you have Flask up and running, you'll find a variety of extensions
available in the community to integrate your project for production.
As your codebase grows, you are free to make the design decisions appropriate
for your project. Flask will continue to provide a very simple glue layer to
the best that Python has to offer. You can implement advanced patterns in
SQLAlchemy or another database tool, introduce non-relational data persistence
as appropriate, and take advantage of framework-agnostic tools built for WSGI,
the Python web interface.
Flask includes many hooks to customize its behavior. Should you need more
customization, the Flask class is built for subclassing. If you are interested
in that, check out the :doc:`becomingbig` chapter. If you are curious about
the Flask design principles, head over to the section about :doc:`design`.

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@ -1,125 +0,0 @@
Async with Gevent
=================
`Gevent`_ patches Python's standard library to run within special async workers
called `greenlets`_. Gevent has existed since long before Python's native
asyncio was available, and Flask has always worked with it.
.. _gevent: https://www.gevent.org
.. _greenlets: https://greenlet.readthedocs.io
Gevent is a reliable way to handle numerous, long lived, concurrent connections,
and to achieve similar capabilities to ASGI and asyncio. This works without
needing to write ``async def`` or ``await`` anywhere, but relies on gevent and
greenlet's low level manipulation of the Python interpreter.
Deciding whether you should use gevent with Flask, or `Quart`_, or something
else, is ultimately up to understanding the specific needs of your project.
.. _quart: https://quart.palletsprojects.com
Enabling gevent
---------------
You need to apply gevent's patching as early as possible in your code. This
enables gevent's underlying event loop and converts many Python internals to run
inside it. Add the following at the top of your project's module or top
``__init__.py``:
.. code-block:: python
import gevent.monkey
gevent.monkey.patch_all()
When deploying in production, use :doc:`/deploying/gunicorn` or
:doc:`/deploying/uwsgi` with a gevent worker, as described on those pages.
To run concurrent tasks within your own code, such as views, use
|gevent.spawn|_:
.. |gevent.spawn| replace:: ``gevent.spawn()``
.. _gevent.spawn: https://www.gevent.org/api/gevent.html#gevent.spawn
.. code-block:: python
@app.post("/send")
def send_email():
gevent.spawn(email.send, to="example@example.example", text="example")
return "Email is being sent."
If you need to access :data:`request` or other Flask context globals within the
spawned function, decorate the function with :func:`.stream_with_context` or
:func:`.copy_current_request_context`. Prefer passing the exact data you need
when spawning the function, rather than using the decorators.
.. note::
When using gevent, greenlet>=1.0 is required. When using PyPy, PyPy>=7.3.7
is required.
.. _gevent-asyncio:
Combining with ``async``/``await``
----------------------------------
Gevent's patching does not interact well with Flask's built-in asyncio support.
If you want to use Gevent and asyncio in the same app, you'll need to override
:meth:`flask.Flask.async_to_sync` to run async functions inside gevent.
.. code-block:: python
import gevent.monkey
gevent.monkey.patch_all()
import asyncio
from flask import Flask, request
loop = asyncio.EventLoop()
gevent.spawn(loop.run_forever)
class GeventFlask(Flask):
def async_to_sync(self, func):
def run(*args, **kwargs):
coro = func(*args, **kwargs)
future = asyncio.run_coroutine_threadsafe(coro, loop)
return future.result()
return run
app = GeventFlask(__name__)
@app.get("/")
async def greet():
await asyncio.sleep(1)
return f"Hello, {request.args.get("name", "World")}!"
This starts an asyncio event loop in a gevent worker. Async functions are
scheduled on that event loop. This may still have limitations, and may need to
be modified further when using other asyncio implementations.
libuv
~~~~~
`libuv`_ is another event loop implementation that `gevent supports`_. There's
also a project called `uvloop`_ that enables libuv in asyncio. If you want to
use libuv, use gevent's support, not uvloop. It may be possible to further
modify the ``async_to_sync`` code from the previous section to work with uvloop,
but that's not currently known.
.. _libuv: https://libuv.org/
.. _gevent supports: https://www.gevent.org/loop_impls.html
.. _uvloop: https://uvloop.readthedocs.io/
To enable gevent's libuv support, add the following at the *very* top of your
code, before ``gevent.monkey.patch_all()``:
.. code-block:: python
import gevent
gevent.config.loop = "libuv"
import gevent.monkey
gevent.monkey.patch_all()

206
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@ -0,0 +1,206 @@
HTML/XHTML FAQ
==============
The Flask documentation and example applications are using HTML5. You
may notice that in many situations, when end tags are optional they are
not used, so that the HTML is cleaner and faster to load. Because there
is much confusion about HTML and XHTML among developers, this document tries
to answer some of the major questions.
History of XHTML
----------------
For a while, it appeared that HTML was about to be replaced by XHTML.
However, barely any websites on the Internet are actual XHTML (which is
HTML processed using XML rules). There are a couple of major reasons
why this is the case. One of them is Internet Explorer's lack of proper
XHTML support. The XHTML spec states that XHTML must be served with the MIME
type :mimetype:`application/xhtml+xml`, but Internet Explorer refuses
to read files with that MIME type.
While it is relatively easy to configure Web servers to serve XHTML properly,
few people do. This is likely because properly using XHTML can be quite
painful.
One of the most important causes of pain is XML's draconian (strict and
ruthless) error handling. When an XML parsing error is encountered,
the browser is supposed to show the user an ugly error message, instead
of attempting to recover from the error and display what it can. Most of
the (X)HTML generation on the web is based on non-XML template engines
(such as Jinja, the one used in Flask) which do not protect you from
accidentally creating invalid XHTML. There are XML based template engines,
such as Kid and the popular Genshi, but they often come with a larger
runtime overhead and are not as straightforward to use because they have
to obey XML rules.
The majority of users, however, assumed they were properly using XHTML.
They wrote an XHTML doctype at the top of the document and self-closed all
the necessary tags (``<br>`` becomes ``<br/>`` or ``<br></br>`` in XHTML).
However, even if the document properly validates as XHTML, what really
determines XHTML/HTML processing in browsers is the MIME type, which as
said before is often not set properly. So the valid XHTML was being treated
as invalid HTML.
XHTML also changed the way JavaScript is used. To properly work with XHTML,
programmers have to use the namespaced DOM interface with the XHTML
namespace to query for HTML elements.
History of HTML5
----------------
Development of the HTML5 specification was started in 2004 under the name
"Web Applications 1.0" by the Web Hypertext Application Technology Working
Group, or WHATWG (which was formed by the major browser vendors Apple,
Mozilla, and Opera) with the goal of writing a new and improved HTML
specification, based on existing browser behavior instead of unrealistic
and backwards-incompatible specifications.
For example, in HTML4 ``<title/Hello/`` theoretically parses exactly the
same as ``<title>Hello</title>``. However, since people were using
XHTML-like tags along the lines of ``<link />``, browser vendors implemented
the XHTML syntax over the syntax defined by the specification.
In 2007, the specification was adopted as the basis of a new HTML
specification under the umbrella of the W3C, known as HTML5. Currently,
it appears that XHTML is losing traction, as the XHTML 2 working group has
been disbanded and HTML5 is being implemented by all major browser vendors.
HTML versus XHTML
-----------------
The following table gives you a quick overview of features available in
HTML 4.01, XHTML 1.1 and HTML5. (XHTML 1.0 is not included, as it was
superseded by XHTML 1.1 and the barely-used XHTML5.)
.. tabularcolumns:: |p{9cm}|p{2cm}|p{2cm}|p{2cm}|
+-----------------------------------------+----------+----------+----------+
| | HTML4.01 | XHTML1.1 | HTML5 |
+=========================================+==========+==========+==========+
| ``<tag/value/`` == ``<tag>value</tag>`` | |Y| [1]_ | |N| | |N| |
+-----------------------------------------+----------+----------+----------+
| ``<br/>`` supported | |N| | |Y| | |Y| [2]_ |
+-----------------------------------------+----------+----------+----------+
| ``<script/>`` supported | |N| | |Y| | |N| |
+-----------------------------------------+----------+----------+----------+
| should be served as `text/html` | |Y| | |N| [3]_ | |Y| |
+-----------------------------------------+----------+----------+----------+
| should be served as | |N| | |Y| | |N| |
| `application/xhtml+xml` | | | |
+-----------------------------------------+----------+----------+----------+
| strict error handling | |N| | |Y| | |N| |
+-----------------------------------------+----------+----------+----------+
| inline SVG | |N| | |Y| | |Y| |
+-----------------------------------------+----------+----------+----------+
| inline MathML | |N| | |Y| | |Y| |
+-----------------------------------------+----------+----------+----------+
| ``<video>`` tag | |N| | |N| | |Y| |
+-----------------------------------------+----------+----------+----------+
| ``<audio>`` tag | |N| | |N| | |Y| |
+-----------------------------------------+----------+----------+----------+
| New semantic tags like ``<article>`` | |N| | |N| | |Y| |
+-----------------------------------------+----------+----------+----------+
.. [1] This is an obscure feature inherited from SGML. It is usually not
supported by browsers, for reasons detailed above.
.. [2] This is for compatibility with server code that generates XHTML for
tags such as ``<br>``. It should not be used in new code.
.. [3] XHTML 1.0 is the last XHTML standard that allows to be served
as `text/html` for backwards compatibility reasons.
.. |Y| image:: _static/yes.png
:alt: Yes
.. |N| image:: _static/no.png
:alt: No
What does "strict" mean?
------------------------
HTML5 has strictly defined parsing rules, but it also specifies exactly
how a browser should react to parsing errors - unlike XHTML, which simply
states parsing should abort. Some people are confused by apparently
invalid syntax that still generates the expected results (for example,
missing end tags or unquoted attribute values).
Some of these work because of the lenient error handling most browsers use
when they encounter a markup error, others are actually specified. The
following constructs are optional in HTML5 by standard, but have to be
supported by browsers:
- Wrapping the document in an ``<html>`` tag
- Wrapping header elements in ``<head>`` or the body elements in
``<body>``
- Closing the ``<p>``, ``<li>``, ``<dt>``, ``<dd>``, ``<tr>``,
``<td>``, ``<th>``, ``<tbody>``, ``<thead>``, or ``<tfoot>`` tags.
- Quoting attributes, so long as they contain no whitespace or
special characters (like ``<``, ``>``, ``'``, or ``"``).
- Requiring boolean attributes to have a value.
This means the following page in HTML5 is perfectly valid:
.. sourcecode:: html
<!doctype html>
<title>Hello HTML5</title>
<div class=header>
<h1>Hello HTML5</h1>
<p class=tagline>HTML5 is awesome
</div>
<ul class=nav>
<li><a href=/index>Index</a>
<li><a href=/downloads>Downloads</a>
<li><a href=/about>About</a>
</ul>
<div class=body>
<h2>HTML5 is probably the future</h2>
<p>
There might be some other things around but in terms of
browser vendor support, HTML5 is hard to beat.
<dl>
<dt>Key 1
<dd>Value 1
<dt>Key 2
<dd>Value 2
</dl>
</div>
New technologies in HTML5
-------------------------
HTML5 adds many new features that make Web applications easier to write
and to use.
- The ``<audio>`` and ``<video>`` tags provide a way to embed audio and
video without complicated add-ons like QuickTime or Flash.
- Semantic elements like ``<article>``, ``<header>``, ``<nav>``, and
``<time>`` that make content easier to understand.
- The ``<canvas>`` tag, which supports a powerful drawing API, reducing
the need for server-generated images to present data graphically.
- New form control types like ``<input type="date">`` that allow user
agents to make entering and validating values easier.
- Advanced JavaScript APIs like Web Storage, Web Workers, Web Sockets,
geolocation, and offline applications.
Many other features have been added, as well. A good guide to new features
in HTML5 is Mark Pilgrim's book, `Dive Into HTML5`_.
Not all of them are supported in browsers yet, however, so use caution.
.. _Dive Into HTML5: https://diveintohtml5.info/
What should be used?
--------------------
Currently, the answer is HTML5. There are very few reasons to use XHTML
considering the latest developments in Web browsers. To summarize the
reasons given above:
- Internet Explorer has poor support for XHTML.
- Many JavaScript libraries also do not support XHTML, due to the more
complicated namespacing API it requires.
- HTML5 adds several new features, including semantic tags and the
long-awaited ``<audio>`` and ``<video>`` tags.
- It has the support of most browser vendors behind it.
- It is much easier to write, and more compact.
For most applications, it is undoubtedly better to use HTML5 than XHTML.

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@ -3,15 +3,12 @@
Welcome to Flask Welcome to Flask
================ ================
.. image:: _static/flask-name.svg .. image:: _static/flask-logo.png
:alt: Flask: web development, one drop at a time
:align: center :align: center
:height: 200px :target: https://palletsprojects.com/p/flask/
Welcome to Flask's documentation. Flask is a lightweight WSGI web application framework. Welcome to Flask's documentation. Get started with :doc:`installation`
It is designed to make getting started quick and easy, with the ability to scale up to
complex applications.
Get started with :doc:`installation`
and then get an overview with the :doc:`quickstart`. There is also a and then get an overview with the :doc:`quickstart`. There is also a
more detailed :doc:`tutorial/index` that shows how to create a small but more detailed :doc:`tutorial/index` that shows how to create a small but
complete application with Flask. Common patterns are described in the complete application with Flask. Common patterns are described in the
@ -19,26 +16,28 @@ complete application with Flask. Common patterns are described in the
component of Flask in detail, with a full reference in the :doc:`api` component of Flask in detail, with a full reference in the :doc:`api`
section. section.
Flask depends on the `Werkzeug`_ WSGI toolkit, the `Jinja`_ template engine, and the Flask depends on the `Jinja`_ template engine and the `Werkzeug`_ WSGI
`Click`_ CLI toolkit. Be sure to check their documentation as well as Flask's when toolkit. The documentation for these libraries can be found at:
looking for information.
.. _Werkzeug: https://werkzeug.palletsprojects.com - `Jinja documentation <https://jinja.palletsprojects.com/>`_
.. _Jinja: https://jinja.palletsprojects.com - `Werkzeug documentation <https://werkzeug.palletsprojects.com/>`_
.. _Click: https://click.palletsprojects.com
.. _Jinja: https://www.palletsprojects.com/p/jinja/
.. _Werkzeug: https://www.palletsprojects.com/p/werkzeug/
User's Guide User's Guide
------------ ------------
Flask provides configuration and conventions, with sensible defaults, to get started. This part of the documentation, which is mostly prose, begins with some
This section of the documentation explains the different parts of the Flask framework background information about Flask, then focuses on step-by-step
and how they can be used, customized, and extended. Beyond Flask itself, look for instructions for web development with Flask.
community-maintained extensions to add even more functionality.
.. toctree:: .. toctree::
:maxdepth: 2 :maxdepth: 2
foreword
advanced_foreword
installation installation
quickstart quickstart
tutorial/index tutorial/index
@ -50,17 +49,16 @@ community-maintained extensions to add even more functionality.
config config
signals signals
views views
lifecycle
appcontext appcontext
reqcontext
blueprints blueprints
extensions extensions
cli cli
server server
shell shell
patterns/index patterns/index
web-security
deploying/index deploying/index
gevent becomingbig
async-await async-await
@ -79,10 +77,14 @@ method, this part of the documentation is for you.
Additional Notes Additional Notes
---------------- ----------------
Design notes, legal information and changelog are here for the interested.
.. toctree:: .. toctree::
:maxdepth: 2 :maxdepth: 2
design design
htmlfaq
security
extensiondev extensiondev
contributing contributing
license license

View file

@ -5,7 +5,10 @@ Installation
Python Version Python Version
-------------- --------------
We recommend using the latest version of Python. Flask supports Python 3.10 and newer. We recommend using the latest version of Python. Flask supports Python
3.6 and newer.
``async`` support in Flask requires Python 3.7+ for ``contextvars.ContextVar``.
Dependencies Dependencies
@ -23,14 +26,12 @@ These distributions will be installed automatically when installing Flask.
to protect Flask's session cookie. to protect Flask's session cookie.
* `Click`_ is a framework for writing command line applications. It provides * `Click`_ is a framework for writing command line applications. It provides
the ``flask`` command and allows adding custom management commands. the ``flask`` command and allows adding custom management commands.
* `Blinker`_ provides support for :doc:`signals`.
.. _Werkzeug: https://palletsprojects.com/p/werkzeug/ .. _Werkzeug: https://palletsprojects.com/p/werkzeug/
.. _Jinja: https://palletsprojects.com/p/jinja/ .. _Jinja: https://palletsprojects.com/p/jinja/
.. _MarkupSafe: https://palletsprojects.com/p/markupsafe/ .. _MarkupSafe: https://palletsprojects.com/p/markupsafe/
.. _ItsDangerous: https://palletsprojects.com/p/itsdangerous/ .. _ItsDangerous: https://palletsprojects.com/p/itsdangerous/
.. _Click: https://palletsprojects.com/p/click/ .. _Click: https://palletsprojects.com/p/click/
.. _Blinker: https://blinker.readthedocs.io/
Optional dependencies Optional dependencies
@ -39,26 +40,17 @@ Optional dependencies
These distributions will not be installed automatically. Flask will detect and These distributions will not be installed automatically. Flask will detect and
use them if you install them. use them if you install them.
* `Blinker`_ provides support for :doc:`signals`.
* `python-dotenv`_ enables support for :ref:`dotenv` when running ``flask`` * `python-dotenv`_ enables support for :ref:`dotenv` when running ``flask``
commands. commands.
* `Watchdog`_ provides a faster, more efficient reloader for the development * `Watchdog`_ provides a faster, more efficient reloader for the development
server. server.
.. _Blinker: https://pythonhosted.org/blinker/
.. _python-dotenv: https://github.com/theskumar/python-dotenv#readme .. _python-dotenv: https://github.com/theskumar/python-dotenv#readme
.. _watchdog: https://pythonhosted.org/watchdog/ .. _watchdog: https://pythonhosted.org/watchdog/
greenlet
~~~~~~~~
You may choose to use :doc:`/gevent` with your application. In this case,
greenlet>=1.0 is required. When using PyPy, PyPy>=7.3.7 is required.
These are not minimum supported versions, they only indicate the first
versions that added necessary features. You should use the latest
versions of each.
Virtual environments Virtual environments
-------------------- --------------------
@ -83,7 +75,7 @@ environments.
Create an environment Create an environment
~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~
Create a project folder and a :file:`.venv` folder within: Create a project folder and a :file:`venv` folder within:
.. tabs:: .. tabs::
@ -93,7 +85,7 @@ Create a project folder and a :file:`.venv` folder within:
$ mkdir myproject $ mkdir myproject
$ cd myproject $ cd myproject
$ python3 -m venv .venv $ python3 -m venv venv
.. group-tab:: Windows .. group-tab:: Windows
@ -101,7 +93,7 @@ Create a project folder and a :file:`.venv` folder within:
> mkdir myproject > mkdir myproject
> cd myproject > cd myproject
> py -3 -m venv .venv > py -3 -m venv venv
.. _install-activate-env: .. _install-activate-env:
@ -117,13 +109,13 @@ Before you work on your project, activate the corresponding environment:
.. code-block:: text .. code-block:: text
$ . .venv/bin/activate $ . venv/bin/activate
.. group-tab:: Windows .. group-tab:: Windows
.. code-block:: text .. code-block:: text
> .venv\Scripts\activate > venv\Scripts\activate
Your shell prompt will change to show the name of the activated Your shell prompt will change to show the name of the activated
environment. environment.

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@ -1,5 +1,19 @@
BSD-3-Clause License License
==================== =======
.. literalinclude:: ../LICENSE.txt BSD-3-Clause Source License
:language: text ---------------------------
The BSD-3-Clause license applies to all files in the Flask repository
and source distribution. This includes Flask's source code, the
examples, and tests, as well as the documentation.
.. include:: ../LICENSE.rst
Artwork License
---------------
This license applies to Flask's logo.
.. include:: ../artwork/LICENSE.rst

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@ -1,171 +0,0 @@
Application Structure and Lifecycle
===================================
Flask makes it pretty easy to write a web application. But there are quite a few
different parts to an application and to each request it handles. Knowing what happens
during application setup, serving, and handling requests will help you know what's
possible in Flask and how to structure your application.
Application Setup
-----------------
The first step in creating a Flask application is creating the application object. Each
Flask application is an instance of the :class:`.Flask` class, which collects all
configuration, extensions, and views.
.. code-block:: python
from flask import Flask
app = Flask(__name__)
app.config.from_mapping(
SECRET_KEY="dev",
)
app.config.from_prefixed_env()
@app.route("/")
def index():
return "Hello, World!"
This is known as the "application setup phase", it's the code you write that's outside
any view functions or other handlers. It can be split up between different modules and
sub-packages, but all code that you want to be part of your application must be imported
in order for it to be registered.
All application setup must be completed before you start serving your application and
handling requests. This is because WSGI servers divide work between multiple workers, or
can be distributed across multiple machines. If the configuration changed in one worker,
there's no way for Flask to ensure consistency between other workers.
Flask tries to help developers catch some of these setup ordering issues by showing an
error if setup-related methods are called after requests are handled. In that case
you'll see this error:
The setup method 'route' can no longer be called on the application. It has already
handled its first request, any changes will not be applied consistently.
Make sure all imports, decorators, functions, etc. needed to set up the application
are done before running it.
However, it is not possible for Flask to detect all cases of out-of-order setup. In
general, don't do anything to modify the ``Flask`` app object and ``Blueprint`` objects
from within view functions that run during requests. This includes:
- Adding routes, view functions, and other request handlers with ``@app.route``,
``@app.errorhandler``, ``@app.before_request``, etc.
- Registering blueprints.
- Loading configuration with ``app.config``.
- Setting up the Jinja template environment with ``app.jinja_env``.
- Setting a session interface, instead of the default itsdangerous cookie.
- Setting a JSON provider with ``app.json``, instead of the default provider.
- Creating and initializing Flask extensions.
Serving the Application
-----------------------
Flask is a WSGI application framework. The other half of WSGI is the WSGI server. During
development, Flask, through Werkzeug, provides a development WSGI server with the
``flask run`` CLI command. When you are done with development, use a production server
to serve your application, see :doc:`deploying/index`.
Regardless of what server you're using, it will follow the :pep:`3333` WSGI spec. The
WSGI server will be told how to access your Flask application object, which is the WSGI
application. Then it will start listening for HTTP requests, translate the request data
into a WSGI environ, and call the WSGI application with that data. The WSGI application
will return data that is translated into an HTTP response.
#. Browser or other client makes HTTP request.
#. WSGI server receives request.
#. WSGI server converts HTTP data to WSGI ``environ`` dict.
#. WSGI server calls WSGI application with the ``environ``.
#. Flask, the WSGI application, does all its internal processing to route the request
to a view function, handle errors, etc.
#. Flask translates View function return into WSGI response data, passes it to WSGI
server.
#. WSGI server creates and send an HTTP response.
#. Client receives the HTTP response.
Middleware
~~~~~~~~~~
The WSGI application above is a callable that behaves in a certain way. Middleware
is a WSGI application that wraps another WSGI application. It's a similar concept to
Python decorators. The outermost middleware will be called by the server. It can modify
the data passed to it, then call the WSGI application (or further middleware) that it
wraps, and so on. And it can take the return value of that call and modify it further.
From the WSGI server's perspective, there is one WSGI application, the one it calls
directly. Typically, Flask is the "real" application at the end of the chain of
middleware. But even Flask can call further WSGI applications, although that's an
advanced, uncommon use case.
A common middleware you'll see used with Flask is Werkzeug's
:class:`~werkzeug.middleware.proxy_fix.ProxyFix`, which modifies the request to look
like it came directly from a client even if it passed through HTTP proxies on the way.
There are other middleware that can handle serving static files, authentication, etc.
How a Request is Handled
------------------------
For us, the interesting part of the steps above is when Flask gets called by the WSGI
server (or middleware). At that point, it will do quite a lot to handle the request and
generate the response. At the most basic, it will match the URL to a view function, call
the view function, and pass the return value back to the server. But there are many more
parts that you can use to customize its behavior.
#. WSGI server calls the Flask object, which calls :meth:`.Flask.wsgi_app`.
#. An :class:`.AppContext` object is created. This converts the WSGI ``environ``
dict into a :class:`.Request` object.
#. The :doc:`app context <appcontext>` is pushed, which makes
:data:`.current_app`, :data:`.g`, :data:`.request`, and :data:`.session`
available.
#. The :data:`.appcontext_pushed` signal is sent.
#. The URL is matched against the URL rules registered with the :meth:`~.Flask.route`
decorator during application setup. If there is no match, the error - usually a 404,
405, or redirect - is stored to be handled later.
#. The :data:`.request_started` signal is sent.
#. Any :meth:`~.Flask.url_value_preprocessor` decorated functions are called.
#. Any :meth:`~.Flask.before_request` decorated functions are called. If any of
these function returns a value it is treated as the response immediately.
#. If the URL didn't match a route a few steps ago, that error is raised now.
#. The :meth:`~.Flask.route` decorated view function associated with the matched URL
is called and returns a value to be used as the response.
#. If any step so far raised an exception, and there is an :meth:`~.Flask.errorhandler`
decorated function that matches the exception class or HTTP error code, it is
called to handle the error and return a response.
#. Whatever returned a response value - a before request function, the view, or an
error handler, that value is converted to a :class:`.Response` object.
#. Any :func:`~.after_this_request` decorated functions are called, which can modify
the response object. They are then cleared.
#. Any :meth:`~.Flask.after_request` decorated functions are called, which can modify
the response object.
#. The session is saved, persisting any modified session data using the app's
:attr:`~.Flask.session_interface`.
#. The :data:`.request_finished` signal is sent.
#. If any step so far raised an exception, and it was not handled by an error handler
function, it is handled now. HTTP exceptions are treated as responses with their
corresponding status code, other exceptions are converted to a generic 500 response.
The :data:`.got_request_exception` signal is sent.
#. The response object's status, headers, and body are returned to the WSGI server.
#. Any :meth:`~.Flask.teardown_request` decorated functions are called.
#. The :data:`.request_tearing_down` signal is sent.
#. Any :meth:`~.Flask.teardown_appcontext` decorated functions are called.
#. The :data:`.appcontext_tearing_down` signal is sent.
#. The app context is popped, :data:`.current_app`, :data:`.g`, :data:`.request`,
and :data:`.session` are no longer available.
#. The :data:`.appcontext_popped` signal is sent.
When executing a CLI command or plain app context without request data, the same
order of steps is followed, omitting the steps that refer to the request.
A :class:`Blueprint` can add handlers for these events that are specific to the
blueprint. The handlers for a blueprint will run if the blueprint
owns the route that matches the request.
There are even more decorators and customization points than this, but that aren't part
of every request lifecycle. They're more specific to certain things you might use during
a request, such as templates, building URLs, or handling JSON data. See the rest of this
documentation, as well as the :doc:`api` to explore further.

View file

@ -159,7 +159,7 @@ Depending on your project, it may be more useful to configure each logger you
care about separately, instead of configuring only the root logger. :: care about separately, instead of configuring only the root logger. ::
for logger in ( for logger in (
logging.getLogger(app.name), app.logger,
logging.getLogger('sqlalchemy'), logging.getLogger('sqlalchemy'),
logging.getLogger('other_package'), logging.getLogger('other_package'),
): ):

View file

@ -18,20 +18,34 @@ Working with this Document
-------------------------- --------------------------
Each of the techniques and examples below results in an ``application`` Each of the techniques and examples below results in an ``application``
object that can be run with any WSGI server. For development, use the object that can be run with any WSGI server. For production, see
``flask run`` command to start a development server. For production, see :doc:`/deploying/index`. For development, Werkzeug provides a server
:doc:`/deploying/index`. through :func:`werkzeug.serving.run_simple`::
.. code-block:: python from werkzeug.serving import run_simple
run_simple('localhost', 5000, application, use_reloader=True)
Note that :func:`run_simple <werkzeug.serving.run_simple>` is not intended for
use in production. Use a production WSGI server. See :doc:`/deploying/index`.
In order to use the interactive debugger, debugging must be enabled both on
the application and the simple server. Here is the "hello world" example with
debugging and :func:`run_simple <werkzeug.serving.run_simple>`::
from flask import Flask from flask import Flask
from werkzeug.serving import run_simple
app = Flask(__name__) app = Flask(__name__)
app.debug = True
@app.route('/') @app.route('/')
def hello_world(): def hello_world():
return 'Hello World!' return 'Hello World!'
if __name__ == '__main__':
run_simple('localhost', 5000, app,
use_reloader=True, use_debugger=True, use_evalex=True)
Combining Applications Combining Applications
---------------------- ----------------------
@ -44,9 +58,7 @@ are combined by the dispatcher middleware into a larger one that is
dispatched based on prefix. dispatched based on prefix.
For example you could have your main application run on ``/`` and your For example you could have your main application run on ``/`` and your
backend interface on ``/backend``. backend interface on ``/backend``::
.. code-block:: python
from werkzeug.middleware.dispatcher import DispatcherMiddleware from werkzeug.middleware.dispatcher import DispatcherMiddleware
from frontend_app import application as frontend from frontend_app import application as frontend
@ -77,13 +89,11 @@ the dynamic application creation.
The perfect level for abstraction in that regard is the WSGI layer. You The perfect level for abstraction in that regard is the WSGI layer. You
write your own WSGI application that looks at the request that comes and write your own WSGI application that looks at the request that comes and
delegates it to your Flask application. If that application does not delegates it to your Flask application. If that application does not
exist yet, it is dynamically created and remembered. exist yet, it is dynamically created and remembered::
.. code-block:: python
from threading import Lock from threading import Lock
class SubdomainDispatcher: class SubdomainDispatcher(object):
def __init__(self, domain, create_app): def __init__(self, domain, create_app):
self.domain = domain self.domain = domain
@ -107,9 +117,7 @@ exist yet, it is dynamically created and remembered.
return app(environ, start_response) return app(environ, start_response)
This dispatcher can then be used like this: This dispatcher can then be used like this::
.. code-block:: python
from myapplication import create_app, get_user_for_subdomain from myapplication import create_app, get_user_for_subdomain
from werkzeug.exceptions import NotFound from werkzeug.exceptions import NotFound
@ -135,14 +143,12 @@ Dispatch by Path
Dispatching by a path on the URL is very similar. Instead of looking at Dispatching by a path on the URL is very similar. Instead of looking at
the ``Host`` header to figure out the subdomain one simply looks at the the ``Host`` header to figure out the subdomain one simply looks at the
request path up to the first slash. request path up to the first slash::
.. code-block:: python
from threading import Lock from threading import Lock
from wsgiref.util import shift_path_info from werkzeug.wsgi import pop_path_info, peek_path_info
class PathDispatcher: class PathDispatcher(object):
def __init__(self, default_app, create_app): def __init__(self, default_app, create_app):
self.default_app = default_app self.default_app = default_app
@ -160,24 +166,15 @@ request path up to the first slash.
return app return app
def __call__(self, environ, start_response): def __call__(self, environ, start_response):
app = self.get_application(_peek_path_info(environ)) app = self.get_application(peek_path_info(environ))
if app is not None: if app is not None:
shift_path_info(environ) pop_path_info(environ)
else: else:
app = self.default_app app = self.default_app
return app(environ, start_response) return app(environ, start_response)
def _peek_path_info(environ):
segments = environ.get("PATH_INFO", "").lstrip("/").split("/", 1)
if segments:
return segments[0]
return None
The big difference between this and the subdomain one is that this one The big difference between this and the subdomain one is that this one
falls back to another application if the creator function returns ``None``. falls back to another application if the creator function returns ``None``::
.. code-block:: python
from myapplication import create_app, default_app, get_user_for_prefix from myapplication import create_app, default_app, get_user_for_prefix

View file

@ -89,20 +89,57 @@ Using Applications
To run such an application, you can use the :command:`flask` command: To run such an application, you can use the :command:`flask` command:
.. code-block:: text .. tabs::
$ flask --app hello run .. group-tab:: Bash
Flask will automatically detect the factory if it is named .. code-block:: text
``create_app`` or ``make_app`` in ``hello``. You can also pass arguments
to the factory like this:
.. code-block:: text $ export FLASK_APP=myapp
$ flask run
$ flask --app 'hello:create_app(local_auth=True)' run .. group-tab:: CMD
Then the ``create_app`` factory in ``hello`` is called with the keyword .. code-block:: text
argument ``local_auth=True``. See :doc:`/cli` for more detail.
> set FLASK_APP=myapp
> flask run
.. group-tab:: Powershell
.. code-block:: text
> $env:FLASK_APP = "myapp"
> flask run
Flask will automatically detect the factory (``create_app`` or ``make_app``)
in ``myapp``. You can also pass arguments to the factory like this:
.. tabs::
.. group-tab:: Bash
.. code-block:: text
$ export FLASK_APP="myapp:create_app('dev')"
$ flask run
.. group-tab:: CMD
.. code-block:: text
> set FLASK_APP="myapp:create_app('dev')"
> flask run
.. group-tab:: Powershell
.. code-block:: text
> $env:FLASK_APP = "myapp:create_app('dev')"
> flask run
Then the ``create_app`` factory in ``myapp`` is called with the string
``'dev'`` as the argument. See :doc:`/cli` for more detail.
Factory Improvements Factory Improvements
-------------------- --------------------

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@ -1,242 +1,101 @@
Background Tasks with Celery Celery Background Tasks
============================ =======================
If your application has a long running task, such as processing some uploaded data or If your application has a long running task, such as processing some uploaded
sending email, you don't want to wait for it to finish during a request. Instead, use a data or sending email, you don't want to wait for it to finish during a
task queue to send the necessary data to another process that will run the task in the request. Instead, use a task queue to send the necessary data to another
background while the request returns immediately. process that will run the task in the background while the request returns
immediately.
`Celery`_ is a powerful task queue that can be used for simple background tasks as well
as complex multi-stage programs and schedules. This guide will show you how to configure
Celery using Flask. Read Celery's `First Steps with Celery`_ guide to learn how to use
Celery itself.
.. _Celery: https://celery.readthedocs.io
.. _First Steps with Celery: https://celery.readthedocs.io/en/latest/getting-started/first-steps-with-celery.html
The Flask repository contains `an example <https://github.com/pallets/flask/tree/main/examples/celery>`_
based on the information on this page, which also shows how to use JavaScript to submit
tasks and poll for progress and results.
Celery is a powerful task queue that can be used for simple background tasks
as well as complex multi-stage programs and schedules. This guide will show you
how to configure Celery using Flask, but assumes you've already read the
`First Steps with Celery <https://celery.readthedocs.io/en/latest/getting-started/first-steps-with-celery.html>`_
guide in the Celery documentation.
Install Install
------- -------
Install Celery from PyPI, for example using pip: Celery is a separate Python package. Install it from PyPI using pip::
.. code-block:: text
$ pip install celery $ pip install celery
Configure
---------
Integrate Celery with Flask The first thing you need is a Celery instance, this is called the celery
--------------------------- application. It serves the same purpose as the :class:`~flask.Flask`
object in Flask, just for Celery. Since this instance is used as the
entry-point for everything you want to do in Celery, like creating tasks
and managing workers, it must be possible for other modules to import it.
You can use Celery without any integration with Flask, but it's convenient to configure For instance you can place this in a ``tasks`` module. While you can use
it through Flask's config, and to let tasks access the Flask application. Celery without any reconfiguration with Flask, it becomes a bit nicer by
subclassing tasks and adding support for Flask's application contexts and
hooking it up with the Flask configuration.
Celery uses similar ideas to Flask, with a ``Celery`` app object that has configuration This is all that is necessary to properly integrate Celery with Flask::
and registers tasks. While creating a Flask app, use the following code to create and
configure a Celery app as well.
.. code-block:: python from celery import Celery
from celery import Celery, Task def make_celery(app):
celery = Celery(
app.import_name,
backend=app.config['CELERY_RESULT_BACKEND'],
broker=app.config['CELERY_BROKER_URL']
)
celery.conf.update(app.config)
def celery_init_app(app: Flask) -> Celery: class ContextTask(celery.Task):
class FlaskTask(Task): def __call__(self, *args, **kwargs):
def __call__(self, *args: object, **kwargs: object) -> object:
with app.app_context(): with app.app_context():
return self.run(*args, **kwargs) return self.run(*args, **kwargs)
celery_app = Celery(app.name, task_cls=FlaskTask) celery.Task = ContextTask
celery_app.config_from_object(app.config["CELERY"]) return celery
celery_app.set_default()
app.extensions["celery"] = celery_app
return celery_app
This creates and returns a ``Celery`` app object. Celery `configuration`_ is taken from The function creates a new Celery object, configures it with the broker
the ``CELERY`` key in the Flask configuration. The Celery app is set as the default, so from the application config, updates the rest of the Celery config from
that it is seen during each request. The ``Task`` subclass automatically runs task the Flask config and then creates a subclass of the task that wraps the
functions with a Flask app context active, so that services like your database task execution in an application context.
connections are available.
.. _configuration: https://celery.readthedocs.io/en/stable/userguide/configuration.html An example task
---------------
Here's a basic ``example.py`` that configures Celery to use Redis for communication. We Let's write a task that adds two numbers together and returns the result. We
enable a result backend, but ignore results by default. This allows us to store results configure Celery's broker and backend to use Redis, create a ``celery``
only for tasks where we care about the result. application using the factory from above, and then use it to define the task. ::
.. code-block:: python
from flask import Flask from flask import Flask
app = Flask(__name__) flask_app = Flask(__name__)
app.config.from_mapping( flask_app.config.update(
CELERY=dict( CELERY_BROKER_URL='redis://localhost:6379',
broker_url="redis://localhost", CELERY_RESULT_BACKEND='redis://localhost:6379'
result_backend="redis://localhost",
task_ignore_result=True,
),
) )
celery_app = celery_init_app(app) celery = make_celery(flask_app)
Point the ``celery worker`` command at this and it will find the ``celery_app`` object. @celery.task()
def add_together(a, b):
.. code-block:: text
$ celery -A example worker --loglevel INFO
You can also run the ``celery beat`` command to run tasks on a schedule. See Celery's
docs for more information about defining schedules.
.. code-block:: text
$ celery -A example beat --loglevel INFO
Application Factory
-------------------
When using the Flask application factory pattern, call the ``celery_init_app`` function
inside the factory. It sets ``app.extensions["celery"]`` to the Celery app object, which
can be used to get the Celery app from the Flask app returned by the factory.
.. code-block:: python
def create_app() -> Flask:
app = Flask(__name__)
app.config.from_mapping(
CELERY=dict(
broker_url="redis://localhost",
result_backend="redis://localhost",
task_ignore_result=True,
),
)
app.config.from_prefixed_env()
celery_init_app(app)
return app
To use ``celery`` commands, Celery needs an app object, but that's no longer directly
available. Create a ``make_celery.py`` file that calls the Flask app factory and gets
the Celery app from the returned Flask app.
.. code-block:: python
from example import create_app
flask_app = create_app()
celery_app = flask_app.extensions["celery"]
Point the ``celery`` command to this file.
.. code-block:: text
$ celery -A make_celery worker --loglevel INFO
$ celery -A make_celery beat --loglevel INFO
Defining Tasks
--------------
Using ``@celery_app.task`` to decorate task functions requires access to the
``celery_app`` object, which won't be available when using the factory pattern. It also
means that the decorated tasks are tied to the specific Flask and Celery app instances,
which could be an issue during testing if you change configuration for a test.
Instead, use Celery's ``@shared_task`` decorator. This creates task objects that will
access whatever the "current app" is, which is a similar concept to Flask's blueprints
and app context. This is why we called ``celery_app.set_default()`` above.
Here's an example task that adds two numbers together and returns the result.
.. code-block:: python
from celery import shared_task
@shared_task(ignore_result=False)
def add_together(a: int, b: int) -> int:
return a + b return a + b
Earlier, we configured Celery to ignore task results by default. Since we want to know This task can now be called in the background::
the return value of this task, we set ``ignore_result=False``. On the other hand, a task
that didn't need a result, such as sending an email, wouldn't set this.
result = add_together.delay(23, 42)
result.wait() # 65
Calling Tasks Run a worker
------------- ------------
The decorated function becomes a task object with methods to call it in the background. If you jumped in and already executed the above code you will be
The simplest way is to use the ``delay(*args, **kwargs)`` method. See Celery's docs for disappointed to learn that ``.wait()`` will never actually return.
more methods. That's because you also need to run a Celery worker to receive and execute the
task. ::
A Celery worker must be running to run the task. Starting a worker is shown in the $ celery -A your_application.celery worker
previous sections.
.. code-block:: python The ``your_application`` string has to point to your application's package
or module that creates the ``celery`` object.
from flask import request Now that the worker is running, ``wait`` will return the result once the task
is finished.
@app.post("/add")
def start_add() -> dict[str, object]:
a = request.form.get("a", type=int)
b = request.form.get("b", type=int)
result = add_together.delay(a, b)
return {"result_id": result.id}
The route doesn't get the task's result immediately. That would defeat the purpose by
blocking the response. Instead, we return the running task's result id, which we can use
later to get the result.
Getting Results
---------------
To fetch the result of the task we started above, we'll add another route that takes the
result id we returned before. We return whether the task is finished (ready), whether it
finished successfully, and what the return value (or error) was if it is finished.
.. code-block:: python
from celery.result import AsyncResult
@app.get("/result/<id>")
def task_result(id: str) -> dict[str, object]:
result = AsyncResult(id)
return {
"ready": result.ready(),
"successful": result.successful(),
"value": result.result if result.ready() else None,
}
Now you can start the task using the first route, then poll for the result using the
second route. This keeps the Flask request workers from being blocked waiting for tasks
to finish.
The Flask repository contains `an example <https://github.com/pallets/flask/tree/main/examples/celery>`_
using JavaScript to submit tasks and poll for progress and results.
Passing Data to Tasks
---------------------
The "add" task above took two integers as arguments. To pass arguments to tasks, Celery
has to serialize them to a format that it can pass to other processes. Therefore,
passing complex objects is not recommended. For example, it would be impossible to pass
a SQLAlchemy model object, since that object is probably not serializable and is tied to
the session that queried it.
Pass the minimal amount of data necessary to fetch or recreate any complex data within
the task. Consider a task that will run when the logged in user asks for an archive of
their data. The Flask request knows the logged in user, and has the user object queried
from the database. It got that by querying the database for a given id, so the task can
do the same thing. Pass the user's id rather than the user object.
.. code-block:: python
@shared_task
def generate_user_archive(user_id: str) -> None:
user = db.session.get(User, user_id)
...
generate_user_archive.delay(current_user.id)

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@ -0,0 +1,170 @@
Deploying with Setuptools
=========================
`Setuptools`_, is an extension library that is commonly used to
distribute Python libraries and extensions. It extends distutils, a basic
module installation system shipped with Python to also support various more
complex constructs that make larger applications easier to distribute:
- **support for dependencies**: a library or application can declare a
list of other libraries it depends on which will be installed
automatically for you.
- **package registry**: setuptools registers your package with your
Python installation. This makes it possible to query information
provided by one package from another package. The best known feature of
this system is the entry point support which allows one package to
declare an "entry point" that another package can hook into to extend the
other package.
- **installation manager**: :command:`pip` can install other libraries for you.
Flask itself, and all the libraries you can find on PyPI are distributed with
either setuptools or distutils.
In this case we assume your application is called
:file:`yourapplication.py` and you are not using a module, but a
package. If you have not yet converted your application into a package,
head over to :doc:`packages` to see how this can be done.
A working deployment with setuptools is the first step into more complex
and more automated deployment scenarios. If you want to fully automate
the process, also read the :doc:`fabric` chapter.
Basic Setup Script
------------------
Because you have Flask installed, you have setuptools available on your system.
Flask already depends upon setuptools.
Standard disclaimer applies: :ref:`use a virtualenv
<install-create-env>`.
Your setup code always goes into a file named :file:`setup.py` next to your
application. The name of the file is only convention, but because
everybody will look for a file with that name, you better not change it.
A basic :file:`setup.py` file for a Flask application looks like this::
from setuptools import setup
setup(
name='Your Application',
version='1.0',
long_description=__doc__,
packages=['yourapplication'],
include_package_data=True,
zip_safe=False,
install_requires=['Flask']
)
Please keep in mind that you have to list subpackages explicitly. If you
want setuptools to lookup the packages for you automatically, you can use
the ``find_packages`` function::
from setuptools import setup, find_packages
setup(
...
packages=find_packages()
)
Most parameters to the ``setup`` function should be self explanatory,
``include_package_data`` and ``zip_safe`` might not be.
``include_package_data`` tells setuptools to look for a :file:`MANIFEST.in` file
and install all the entries that match as package data. We will use this
to distribute the static files and templates along with the Python module
(see :ref:`distributing-resources`). The ``zip_safe`` flag can be used to
force or prevent zip Archive creation. In general you probably don't want
your packages to be installed as zip files because some tools do not
support them and they make debugging a lot harder.
Tagging Builds
--------------
It is useful to distinguish between release and development builds. Add a
:file:`setup.cfg` file to configure these options. ::
[egg_info]
tag_build = .dev
tag_date = 1
[aliases]
release = egg_info -Db ''
Running ``python setup.py sdist`` will create a development package
with ".dev" and the current date appended: ``flaskr-1.0.dev20160314.tar.gz``.
Running ``python setup.py release sdist`` will create a release package
with only the version: ``flaskr-1.0.tar.gz``.
.. _distributing-resources:
Distributing Resources
----------------------
If you try to install the package you just created, you will notice that
folders like :file:`static` or :file:`templates` are not installed for you. The
reason for this is that setuptools does not know which files to add for
you. What you should do, is to create a :file:`MANIFEST.in` file next to your
:file:`setup.py` file. This file lists all the files that should be added to
your tarball::
recursive-include yourapplication/templates *
recursive-include yourapplication/static *
Don't forget that even if you enlist them in your :file:`MANIFEST.in` file, they
won't be installed for you unless you set the `include_package_data`
parameter of the ``setup`` function to ``True``!
Declaring Dependencies
----------------------
Dependencies are declared in the ``install_requires`` parameter as a list.
Each item in that list is the name of a package that should be pulled from
PyPI on installation. By default it will always use the most recent
version, but you can also provide minimum and maximum version
requirements. Here some examples::
install_requires=[
'Flask>=0.2',
'SQLAlchemy>=0.6',
'BrokenPackage>=0.7,<=1.0'
]
As mentioned earlier, dependencies are pulled from PyPI. What if you
want to depend on a package that cannot be found on PyPI and won't be
because it is an internal package you don't want to share with anyone?
Just do it as if there was a PyPI entry and provide a list of
alternative locations where setuptools should look for tarballs::
dependency_links=['http://example.com/yourfiles']
Make sure that page has a directory listing and the links on the page are
pointing to the actual tarballs with their correct filenames as this is
how setuptools will find the files. If you have an internal company
server that contains the packages, provide the URL to that server.
Installing / Developing
-----------------------
To install your application (ideally into a virtualenv) just run the
:file:`setup.py` script with the ``install`` parameter. It will install your
application into the virtualenv's site-packages folder and also download
and install all dependencies::
$ python setup.py install
If you are developing on the package and also want the requirements to be
installed, you can use the ``develop`` command instead::
$ python setup.py develop
This has the advantage of just installing a link to the site-packages
folder instead of copying the data over. You can then continue to work on
the code without having to run ``install`` again after each change.
.. _pip: https://pypi.org/project/pip/
.. _Setuptools: https://pypi.org/project/setuptools/

184
docs/patterns/fabric.rst Normal file
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@ -0,0 +1,184 @@
Deploying with Fabric
=====================
`Fabric`_ is a tool for Python similar to Makefiles but with the ability
to execute commands on a remote server. In combination with a properly
set up Python package (:doc:`packages`) and a good concept for
configurations (:doc:`/config`) it is very easy to deploy Flask
applications to external servers.
Before we get started, here a quick checklist of things we have to ensure
upfront:
- Fabric 1.0 has to be installed locally. This tutorial assumes the
latest version of Fabric.
- The application already has to be a package and requires a working
:file:`setup.py` file (:doc:`distribute`).
- In the following example we are using `mod_wsgi` for the remote
servers. You can of course use your own favourite server there, but
for this example we chose Apache + `mod_wsgi` because it's very easy
to setup and has a simple way to reload applications without root
access.
Creating the first Fabfile
--------------------------
A fabfile is what controls what Fabric executes. It is named :file:`fabfile.py`
and executed by the `fab` command. All the functions defined in that file
will show up as `fab` subcommands. They are executed on one or more
hosts. These hosts can be defined either in the fabfile or on the command
line. In this case we will add them to the fabfile.
This is a basic first example that has the ability to upload the current
source code to the server and install it into a pre-existing
virtual environment::
from fabric.api import *
# the user to use for the remote commands
env.user = 'appuser'
# the servers where the commands are executed
env.hosts = ['server1.example.com', 'server2.example.com']
def pack():
# build the package
local('python setup.py sdist --formats=gztar', capture=False)
def deploy():
# figure out the package name and version
dist = local('python setup.py --fullname', capture=True).strip()
filename = f'{dist}.tar.gz'
# upload the package to the temporary folder on the server
put(f'dist/{filename}', f'/tmp/{filename}')
# install the package in the application's virtualenv with pip
run(f'/var/www/yourapplication/env/bin/pip install /tmp/{filename}')
# remove the uploaded package
run(f'rm -r /tmp/{filename}')
# touch the .wsgi file to trigger a reload in mod_wsgi
run('touch /var/www/yourapplication.wsgi')
Running Fabfiles
----------------
Now how do you execute that fabfile? You use the `fab` command. To
deploy the current version of the code on the remote server you would use
this command::
$ fab pack deploy
However this requires that our server already has the
:file:`/var/www/yourapplication` folder created and
:file:`/var/www/yourapplication/env` to be a virtual environment. Furthermore
are we not creating the configuration or ``.wsgi`` file on the server. So
how do we bootstrap a new server into our infrastructure?
This now depends on the number of servers we want to set up. If we just
have one application server (which the majority of applications will
have), creating a command in the fabfile for this is overkill. But
obviously you can do that. In that case you would probably call it
`setup` or `bootstrap` and then pass the servername explicitly on the
command line::
$ fab -H newserver.example.com bootstrap
To setup a new server you would roughly do these steps:
1. Create the directory structure in :file:`/var/www`::
$ mkdir /var/www/yourapplication
$ cd /var/www/yourapplication
$ virtualenv --distribute env
2. Upload a new :file:`application.wsgi` file to the server and the
configuration file for the application (eg: :file:`application.cfg`)
3. Create a new Apache config for ``yourapplication`` and activate it.
Make sure to activate watching for changes of the ``.wsgi`` file so
that we can automatically reload the application by touching it.
See :doc:`/deploying/mod_wsgi`.
So now the question is, where do the :file:`application.wsgi` and
:file:`application.cfg` files come from?
The WSGI File
-------------
The WSGI file has to import the application and also to set an environment
variable so that the application knows where to look for the config. This
is a short example that does exactly that::
import os
os.environ['YOURAPPLICATION_CONFIG'] = '/var/www/yourapplication/application.cfg'
from yourapplication import app
The application itself then has to initialize itself like this to look for
the config at that environment variable::
app = Flask(__name__)
app.config.from_object('yourapplication.default_config')
app.config.from_envvar('YOURAPPLICATION_CONFIG')
This approach is explained in detail in the :doc:`/config` section of the
documentation.
The Configuration File
----------------------
Now as mentioned above, the application will find the correct
configuration file by looking up the ``YOURAPPLICATION_CONFIG`` environment
variable. So we have to put the configuration in a place where the
application will able to find it. Configuration files have the unfriendly
quality of being different on all computers, so you do not version them
usually.
A popular approach is to store configuration files for different servers
in a separate version control repository and check them out on all
servers. Then symlink the file that is active for the server into the
location where it's expected (eg: :file:`/var/www/yourapplication`).
Either way, in our case here we only expect one or two servers and we can
upload them ahead of time by hand.
First Deployment
----------------
Now we can do our first deployment. We have set up the servers so that
they have their virtual environments and activated apache configs. Now we
can pack up the application and deploy it::
$ fab pack deploy
Fabric will now connect to all servers and run the commands as written
down in the fabfile. First it will execute pack so that we have our
tarball ready and then it will execute deploy and upload the source code
to all servers and install it there. Thanks to the :file:`setup.py` file we
will automatically pull in the required libraries into our virtual
environment.
Next Steps
----------
From that point onwards there is so much that can be done to make
deployment actually fun:
- Create a `bootstrap` command that initializes new servers. It could
initialize a new virtual environment, setup apache appropriately etc.
- Put configuration files into a separate version control repository
and symlink the active configs into place.
- You could also put your application code into a repository and check
out the latest version on the server and then install. That way you
can also easily go back to older versions.
- hook in testing functionality so that you can deploy to an external
server and run the test suite.
Working with Fabric is fun and you will notice that it's quite magical to
type ``fab deploy`` and see your application being deployed automatically
to one or more remote servers.
.. _Fabric: https://www.fabfile.org/

View file

@ -24,11 +24,8 @@ the root path of the domain you either need to configure the web server to
serve the icon at the root or if you can't do that you're out of luck. If serve the icon at the root or if you can't do that you're out of luck. If
however your application is the root you can simply route a redirect:: however your application is the root you can simply route a redirect::
app.add_url_rule( app.add_url_rule('/favicon.ico',
"/favicon.ico", redirect_to=url_for('static', filename='favicon.ico'))
endpoint="favicon",
redirect_to=url_for("static", filename="favicon.ico"),
)
If you want to save the extra redirect request you can also write a view If you want to save the extra redirect request you can also write a view
using :func:`~flask.send_from_directory`:: using :func:`~flask.send_from_directory`::

View file

@ -19,6 +19,8 @@ collected in the following pages.
appfactories appfactories
appdispatch appdispatch
urlprocessors urlprocessors
distribute
fabric
sqlite3 sqlite3
sqlalchemy sqlalchemy
fileuploads fileuploads
@ -27,7 +29,7 @@ collected in the following pages.
wtforms wtforms
templateinheritance templateinheritance
flashing flashing
javascript jquery
lazyloading lazyloading
mongoengine mongoengine
favicon favicon

View file

@ -1,261 +0,0 @@
JavaScript, ``fetch``, and JSON
===============================
You may want to make your HTML page dynamic, by changing data without
reloading the entire page. Instead of submitting an HTML ``<form>`` and
performing a redirect to re-render the template, you can add
`JavaScript`_ that calls |fetch|_ and replaces content on the page.
|fetch|_ is the modern, built-in JavaScript solution to making
requests from a page. You may have heard of other "AJAX" methods and
libraries, such as |XHR|_ or `jQuery`_. These are no longer needed in
modern browsers, although you may choose to use them or another library
depending on your application's requirements. These docs will only focus
on built-in JavaScript features.
.. _JavaScript: https://developer.mozilla.org/Web/JavaScript
.. |fetch| replace:: ``fetch()``
.. _fetch: https://developer.mozilla.org/Web/API/Fetch_API
.. |XHR| replace:: ``XMLHttpRequest()``
.. _XHR: https://developer.mozilla.org/Web/API/XMLHttpRequest
.. _jQuery: https://jquery.com/
Rendering Templates
-------------------
It is important to understand the difference between templates and
JavaScript. Templates are rendered on the server, before the response is
sent to the user's browser. JavaScript runs in the user's browser, after
the template is rendered and sent. Therefore, it is impossible to use
JavaScript to affect how the Jinja template is rendered, but it is
possible to render data into the JavaScript that will run.
To provide data to JavaScript when rendering the template, use the
:func:`~jinja-filters.tojson` filter in a ``<script>`` block. This will
convert the data to a valid JavaScript object, and ensure that any
unsafe HTML characters are rendered safely. If you do not use the
``tojson`` filter, you will get a ``SyntaxError`` in the browser
console.
.. code-block:: python
data = generate_report()
return render_template("report.html", chart_data=data)
.. code-block:: jinja
<script>
const chart_data = {{ chart_data|tojson }}
chartLib.makeChart(chart_data)
</script>
A less common pattern is to add the data to a ``data-`` attribute on an
HTML tag. In this case, you must use single quotes around the value, not
double quotes, otherwise you will produce invalid or unsafe HTML.
.. code-block:: jinja
<div data-chart='{{ chart_data|tojson }}'></div>
Generating URLs
---------------
The other way to get data from the server to JavaScript is to make a
request for it. First, you need to know the URL to request.
The simplest way to generate URLs is to continue to use
:func:`~flask.url_for` when rendering the template. For example:
.. code-block:: javascript
const user_url = {{ url_for("user", id=current_user.id)|tojson }}
fetch(user_url).then(...)
However, you might need to generate a URL based on information you only
know in JavaScript. As discussed above, JavaScript runs in the user's
browser, not as part of the template rendering, so you can't use
``url_for`` at that point.
In this case, you need to know the "root URL" under which your
application is served. In simple setups, this is ``/``, but it might
also be something else, like ``https://example.com/myapp/``.
A simple way to tell your JavaScript code about this root is to set it
as a global variable when rendering the template. Then you can use it
when generating URLs from JavaScript.
.. code-block:: javascript
const SCRIPT_ROOT = {{ request.script_root|tojson }}
let user_id = ... // do something to get a user id from the page
let user_url = `${SCRIPT_ROOT}/user/${user_id}`
fetch(user_url).then(...)
Making a Request with ``fetch``
-------------------------------
|fetch|_ takes two arguments, a URL and an object with other options,
and returns a |Promise|_. We won't cover all the available options, and
will only use ``then()`` on the promise, not other callbacks or
``await`` syntax. Read the linked MDN docs for more information about
those features.
By default, the GET method is used. If the response contains JSON, it
can be used with a ``then()`` callback chain.
.. code-block:: javascript
const room_url = {{ url_for("room_detail", id=room.id)|tojson }}
fetch(room_url)
.then(response => response.json())
.then(data => {
// data is a parsed JSON object
})
To send data, use a data method such as POST, and pass the ``body``
option. The most common types for data are form data or JSON data.
To send form data, pass a populated |FormData|_ object. This uses the
same format as an HTML form, and would be accessed with ``request.form``
in a Flask view.
.. code-block:: javascript
let data = new FormData()
data.append("name", "Flask Room")
data.append("description", "Talk about Flask here.")
fetch(room_url, {
"method": "POST",
"body": data,
}).then(...)
In general, prefer sending request data as form data, as would be used
when submitting an HTML form. JSON can represent more complex data, but
unless you need that it's better to stick with the simpler format. When
sending JSON data, the ``Content-Type: application/json`` header must be
sent as well, otherwise Flask will return a 415 Unsupported Media Type
error.
.. code-block:: javascript
let data = {
"name": "Flask Room",
"description": "Talk about Flask here.",
}
fetch(room_url, {
"method": "POST",
"headers": {"Content-Type": "application/json"},
"body": JSON.stringify(data),
}).then(...)
.. |Promise| replace:: ``Promise``
.. _Promise: https://developer.mozilla.org/Web/JavaScript/Reference/Global_Objects/Promise
.. |FormData| replace:: ``FormData``
.. _FormData: https://developer.mozilla.org/en-US/docs/Web/API/FormData
Following Redirects
-------------------
A response might be a redirect, for example if you logged in with
JavaScript instead of a traditional HTML form, and your view returned
a redirect instead of JSON. JavaScript requests do follow redirects, but
they don't change the page. If you want to make the page change you can
inspect the response and apply the redirect manually.
.. code-block:: javascript
fetch("/login", {"body": ...}).then(
response => {
if (response.redirected) {
window.location = response.url
} else {
showLoginError()
}
}
)
Replacing Content
-----------------
A response might be new HTML, either a new section of the page to add or
replace, or an entirely new page. In general, if you're returning the
entire page, it would be better to handle that with a redirect as shown
in the previous section. The following example shows how to replace a
``<div>`` with the HTML returned by a request.
.. code-block:: html
<div id="geology-fact">
{{ include "geology_fact.html" }}
</div>
<script>
const geology_url = {{ url_for("geology_fact")|tojson }}
const geology_div = getElementById("geology-fact")
fetch(geology_url)
.then(response => response.text)
.then(text => geology_div.innerHTML = text)
</script>
Return JSON from Views
----------------------
To return a JSON object from your API view, you can directly return a
dict from the view. It will be serialized to JSON automatically.
.. code-block:: python
@app.route("/user/<int:id>")
def user_detail(id):
user = User.query.get_or_404(id)
return {
"username": User.username,
"email": User.email,
"picture": url_for("static", filename=f"users/{id}/profile.png"),
}
If you want to return another JSON type, use the
:func:`~flask.json.jsonify` function, which creates a response object
with the given data serialized to JSON.
.. code-block:: python
from flask import jsonify
@app.route("/users")
def user_list():
users = User.query.order_by(User.name).all()
return jsonify([u.to_json() for u in users])
It is usually not a good idea to return file data in a JSON response.
JSON cannot represent binary data directly, so it must be base64
encoded, which can be slow, takes more bandwidth to send, and is not as
easy to cache. Instead, serve files using one view, and generate a URL
to the desired file to include in the JSON. Then the client can make a
separate request to get the linked resource after getting the JSON.
Receiving JSON in Views
-----------------------
Use the :attr:`~flask.Request.json` property of the
:data:`~flask.request` object to decode the request's body as JSON. If
the body is not valid JSON, a 400 Bad Request error will be raised. If
the ``Content-Type`` header is not set to ``application/json``, a 415
Unsupported Media Type error will be raised.
.. code-block:: python
from flask import request
@app.post("/user/<int:id>")
def user_update(id):
user = User.query.get_or_404(id)
user.update_from_json(request.json)
db.session.commit()
return user.to_json()

View file

@ -1,6 +1,148 @@
:orphan:
AJAX with jQuery AJAX with jQuery
================ ================
Obsolete, see :doc:`/patterns/javascript` instead. `jQuery`_ is a small JavaScript library commonly used to simplify working
with the DOM and JavaScript in general. It is the perfect tool to make
web applications more dynamic by exchanging JSON between server and
client.
JSON itself is a very lightweight transport format, very similar to how
Python primitives (numbers, strings, dicts and lists) look like which is
widely supported and very easy to parse. It became popular a few years
ago and quickly replaced XML as transport format in web applications.
.. _jQuery: https://jquery.com/
Loading jQuery
--------------
In order to use jQuery, you have to download it first and place it in the
static folder of your application and then ensure it's loaded. Ideally
you have a layout template that is used for all pages where you just have
to add a script statement to the bottom of your ``<body>`` to load jQuery:
.. sourcecode:: html
<script src="{{ url_for('static', filename='jquery.js') }}"></script>
Another method is using Google's `AJAX Libraries API
<https://developers.google.com/speed/libraries/>`_ to load jQuery:
.. sourcecode:: html
<script src="//ajax.googleapis.com/ajax/libs/jquery/1.9.1/jquery.min.js"></script>
<script>window.jQuery || document.write('<script src="{{
url_for('static', filename='jquery.js') }}">\x3C/script>')</script>
In this case you have to put jQuery into your static folder as a fallback, but it will
first try to load it directly from Google. This has the advantage that your
website will probably load faster for users if they went to at least one
other website before using the same jQuery version from Google because it
will already be in the browser cache.
Where is My Site?
-----------------
Do you know where your application is? If you are developing the answer
is quite simple: it's on localhost port something and directly on the root
of that server. But what if you later decide to move your application to
a different location? For example to ``http://example.com/myapp``? On
the server side this never was a problem because we were using the handy
:func:`~flask.url_for` function that could answer that question for
us, but if we are using jQuery we should not hardcode the path to
the application but make that dynamic, so how can we do that?
A simple method would be to add a script tag to our page that sets a
global variable to the prefix to the root of the application. Something
like this:
.. sourcecode:: html+jinja
<script>
$SCRIPT_ROOT = {{ request.script_root|tojson }};
</script>
JSON View Functions
-------------------
Now let's create a server side function that accepts two URL arguments of
numbers which should be added together and then sent back to the
application in a JSON object. This is a really ridiculous example and is
something you usually would do on the client side alone, but a simple
example that shows how you would use jQuery and Flask nonetheless::
from flask import Flask, jsonify, render_template, request
app = Flask(__name__)
@app.route('/_add_numbers')
def add_numbers():
a = request.args.get('a', 0, type=int)
b = request.args.get('b', 0, type=int)
return jsonify(result=a + b)
@app.route('/')
def index():
return render_template('index.html')
As you can see I also added an `index` method here that renders a
template. This template will load jQuery as above and have a little form where
we can add two numbers and a link to trigger the function on the server
side.
Note that we are using the :meth:`~werkzeug.datastructures.MultiDict.get` method here
which will never fail. If the key is missing a default value (here ``0``)
is returned. Furthermore it can convert values to a specific type (like
in our case `int`). This is especially handy for code that is
triggered by a script (APIs, JavaScript etc.) because you don't need
special error reporting in that case.
The HTML
--------
Your index.html template either has to extend a :file:`layout.html` template with
jQuery loaded and the `$SCRIPT_ROOT` variable set, or do that on the top.
Here's the HTML code needed for our little application (:file:`index.html`).
Notice that we also drop the script directly into the HTML here. It is
usually a better idea to have that in a separate script file:
.. sourcecode:: html
<script>
$(function() {
$('a#calculate').bind('click', function() {
$.getJSON($SCRIPT_ROOT + '/_add_numbers', {
a: $('input[name="a"]').val(),
b: $('input[name="b"]').val()
}, function(data) {
$("#result").text(data.result);
});
return false;
});
});
</script>
<h1>jQuery Example</h1>
<p><input type=text size=5 name=a> +
<input type=text size=5 name=b> =
<span id=result>?</span>
<p><a href=# id=calculate>calculate server side</a>
I won't go into detail here about how jQuery works, just a very quick
explanation of the little bit of code above:
1. ``$(function() { ... })`` specifies code that should run once the
browser is done loading the basic parts of the page.
2. ``$('selector')`` selects an element and lets you operate on it.
3. ``element.bind('event', func)`` specifies a function that should run
when the user clicked on the element. If that function returns
`false`, the default behavior will not kick in (in this case, navigate
to the `#` URL).
4. ``$.getJSON(url, data, func)`` sends a ``GET`` request to `url` and will
send the contents of the `data` object as query parameters. Once the
data arrived, it will call the given function with the return value as
argument. Note that we can use the `$SCRIPT_ROOT` variable here that
we set earlier.
Check out the :gh:`example source <examples/javascript>` for a full
application demonstrating the code on this page, as well as the same
thing using ``XMLHttpRequest`` and ``fetch``.

View file

@ -10,7 +10,8 @@ A running MongoDB server and `Flask-MongoEngine`_ are required. ::
pip install flask-mongoengine pip install flask-mongoengine
.. _MongoEngine: http://mongoengine.org .. _MongoEngine: http://mongoengine.org
.. _Flask-MongoEngine: https://docs.mongoengine.org/projects/flask-mongoengine/en/latest/ .. _Flask-MongoEngine: https://flask-mongoengine.readthedocs.io
Configuration Configuration
------------- -------------
@ -79,7 +80,7 @@ Queries
Use the class ``objects`` attribute to make queries. A keyword argument Use the class ``objects`` attribute to make queries. A keyword argument
looks for an equal value on the field. :: looks for an equal value on the field. ::
bttf = Movie.objects(title="Back To The Future").get_or_404() bttf = Movies.objects(title="Back To The Future").get_or_404()
Query operators may be used by concatenating them with the field name Query operators may be used by concatenating them with the field name
using a double-underscore. ``objects``, and queries returned by using a double-underscore. ``objects``, and queries returned by

View file

@ -42,34 +42,72 @@ You should then end up with something like that::
But how do you run your application now? The naive ``python But how do you run your application now? The naive ``python
yourapplication/__init__.py`` will not work. Let's just say that Python yourapplication/__init__.py`` will not work. Let's just say that Python
does not want modules in packages to be the startup file. But that is not does not want modules in packages to be the startup file. But that is not
a big problem, just add a new file called :file:`pyproject.toml` next to the inner a big problem, just add a new file called :file:`setup.py` next to the inner
:file:`yourapplication` folder with the following contents: :file:`yourapplication` folder with the following contents::
.. code-block:: toml from setuptools import setup
[project] setup(
name = "yourapplication" name='yourapplication',
dependencies = [ packages=['yourapplication'],
"flask", include_package_data=True,
] install_requires=[
'flask',
],
)
[build-system] In order to run the application you need to export an environment variable
requires = ["flit_core<4"] that tells Flask where to find the application instance:
build-backend = "flit_core.buildapi"
Install your application so it is importable: .. tabs::
.. code-block:: text .. group-tab:: Bash
.. code-block:: text
$ export FLASK_APP=yourapplication
.. group-tab:: CMD
.. code-block:: text
> set FLASK_APP=yourapplication
.. group-tab:: Powershell
.. code-block:: text
> $env:FLASK_APP = "yourapplication"
If you are outside of the project directory make sure to provide the exact
path to your application directory. Similarly you can turn on the
development features like this:
.. tabs::
.. group-tab:: Bash
.. code-block:: text
$ export FLASK_ENV=development
.. group-tab:: CMD
.. code-block:: text
> set FLASK_ENV=development
.. group-tab:: Powershell
.. code-block:: text
> $env:FLASK_ENV = "development"
In order to install and run the application you need to issue the following
commands::
$ pip install -e . $ pip install -e .
$ flask run
To use the ``flask`` command and run your application you need to set
the ``--app`` option that tells Flask where to find the application
instance:
.. code-block:: text
$ flask --app yourapplication run
What did we gain from this? Now we can restructure the application a bit What did we gain from this? Now we can restructure the application a bit
into multiple modules. The only thing you have to remember is the into multiple modules. The only thing you have to remember is the
@ -101,7 +139,7 @@ And this is what :file:`views.py` would look like::
You should then end up with something like that:: You should then end up with something like that::
/yourapplication /yourapplication
pyproject.toml setup.py
/yourapplication /yourapplication
__init__.py __init__.py
views.py views.py
@ -123,6 +161,10 @@ You should then end up with something like that::
ensuring the module is imported and we are doing that at the bottom of ensuring the module is imported and we are doing that at the bottom of
the file. the file.
There are still some problems with that approach but if you want to use
decorators there is no way around that. Check out the
:doc:`/becomingbig` section for some inspiration how to deal with that.
Working with Blueprints Working with Blueprints
----------------------- -----------------------

View file

@ -34,7 +34,8 @@ official documentation on the `declarative`_ extension.
Here's the example :file:`database.py` module for your application:: Here's the example :file:`database.py` module for your application::
from sqlalchemy import create_engine from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, sessionmaker, declarative_base from sqlalchemy.orm import scoped_session, sessionmaker
from sqlalchemy.ext.declarative import declarative_base
engine = create_engine('sqlite:////tmp/test.db') engine = create_engine('sqlite:////tmp/test.db')
db_session = scoped_session(sessionmaker(autocommit=False, db_session = scoped_session(sessionmaker(autocommit=False,
@ -131,8 +132,9 @@ Here is an example :file:`database.py` module for your application::
def init_db(): def init_db():
metadata.create_all(bind=engine) metadata.create_all(bind=engine)
As in the declarative approach, you need to close the session after each app As in the declarative approach, you need to close the session after
context. Put this into your application module:: each request or application context shutdown. Put this into your
application module::
from yourapplication.database import db_session from yourapplication.database import db_session

View file

@ -1,9 +1,9 @@
Using SQLite 3 with Flask Using SQLite 3 with Flask
========================= =========================
You can implement a few functions to work with a SQLite connection during a In Flask you can easily implement the opening of database connections on
request context. The connection is created the first time it's accessed, demand and closing them when the context dies (usually at the end of the
reused on subsequent access, until it is closed when the request context ends. request).
Here is a simple example of how you can use SQLite 3 with Flask:: Here is a simple example of how you can use SQLite 3 with Flask::
@ -30,6 +30,10 @@ or create an application context itself. At that point the ``get_db``
function can be used to get the current database connection. Whenever the function can be used to get the current database connection. Whenever the
context is destroyed the database connection will be terminated. context is destroyed the database connection will be terminated.
Note: if you use Flask 0.9 or older you need to use
``flask._app_ctx_stack.top`` instead of ``g`` as the :data:`flask.g`
object was bound to the request and not application context.
Example:: Example::
@app.route('/') @app.route('/')
@ -109,16 +113,16 @@ raw cursor and connection objects.
Here is how you can use it:: Here is how you can use it::
for user in query_db('select * from users'): for user in query_db('select * from users'):
print(user['username'], 'has the id', user['user_id']) print user['username'], 'has the id', user['user_id']
Or if you just want a single result:: Or if you just want a single result::
user = query_db('select * from users where username = ?', user = query_db('select * from users where username = ?',
[the_username], one=True) [the_username], one=True)
if user is None: if user is None:
print('No such user') print 'No such user'
else: else:
print(the_username, 'has the id', user['user_id']) print the_username, 'has the id', user['user_id']
To pass variable parts to the SQL statement, use a question mark in the To pass variable parts to the SQL statement, use a question mark in the
statement and pass in the arguments as a list. Never directly add them to statement and pass in the arguments as a list. Never directly add them to

View file

@ -8,21 +8,6 @@ roundtrip to the filesystem?
The answer is by using generators and direct responses. The answer is by using generators and direct responses.
HTTP Response Behavior
----------------------
**Headers cannot be changed after the streaming response starts.**
When using streaming, it's important to be aware of the order than an HTTP
response is sent. All headers must be sent first, then the body. More headers
cannot be sent after the body has begun. Therefore, you must make sure all
headers are set before starting the response, outside the generator.
In particular, if the generator will access ``session``, be sure to do so in the
view as well so that the ``Vary: cookie`` header will be set. Do not modify the
session in the generator, as the ``Set-Cookie`` header will already be sent.
Basic Usage Basic Usage
----------- -----------
@ -35,7 +20,7 @@ data and to then invoke that function and pass it to a response object::
def generate(): def generate():
for row in iter_all_rows(): for row in iter_all_rows():
yield f"{','.join(row)}\n" yield f"{','.join(row)}\n"
return generate(), {"Content-Type": "text/csv"} return app.response_class(generate(), mimetype='text/csv')
Each ``yield`` expression is directly sent to the browser. Note though Each ``yield`` expression is directly sent to the browser. Note though
that some WSGI middlewares might break streaming, so be careful there in that some WSGI middlewares might break streaming, so be careful there in
@ -44,57 +29,52 @@ debug environments with profilers and other things you might have enabled.
Streaming from Templates Streaming from Templates
------------------------ ------------------------
The Jinja template engine supports rendering a template piece by The Jinja2 template engine also supports rendering templates piece by
piece, returning an iterator of strings. Flask provides the piece. This functionality is not directly exposed by Flask because it is
:func:`~flask.stream_template` and :func:`~flask.stream_template_string` quite uncommon, but you can easily do it yourself::
functions to make this easier to use.
.. code-block:: python def stream_template(template_name, **context):
app.update_template_context(context)
t = app.jinja_env.get_template(template_name)
rv = t.stream(context)
rv.enable_buffering(5)
return rv
from flask import stream_template @app.route('/my-large-page.html')
def render_large_template():
@app.get("/timeline") rows = iter_all_rows()
def timeline(): return app.response_class(stream_template('the_template.html', rows=rows))
return stream_template("timeline.html")
The parts yielded by the render stream tend to match statement blocks in
the template.
The trick here is to get the template object from the Jinja2 environment
on the application and to call :meth:`~jinja2.Template.stream` instead of
:meth:`~jinja2.Template.render` which returns a stream object instead of a
string. Since we're bypassing the Flask template render functions and
using the template object itself we have to make sure to update the render
context ourselves by calling :meth:`~flask.Flask.update_template_context`.
The template is then evaluated as the stream is iterated over. Since each
time you do a yield the server will flush the content to the client you
might want to buffer up a few items in the template which you can do with
``rv.enable_buffering(size)``. ``5`` is a sane default.
Streaming with Context Streaming with Context
---------------------- ----------------------
The :data:`.request` proxy will not be active while the generator is .. versionadded:: 0.9
running, because the app has already returned control to the WSGI server at that
point. If you try to access ``request``, you'll get a ``RuntimeError``.
If your generator function relies on data in ``request``, use the Note that when you stream data, the request context is already gone the
:func:`.stream_with_context` wrapper. This will keep the request context active moment the function executes. Flask 0.9 provides you with a helper that
during the generator. can keep the request context around during the execution of the
generator::
.. code-block:: python
from flask import stream_with_context, request from flask import stream_with_context, request
from markupsafe import escape
@app.route('/stream') @app.route('/stream')
def streamed_response(): def streamed_response():
def generate(): def generate():
yield '<p>Hello ' yield 'Hello '
yield escape(request.args['name']) yield request.args['name']
yield '!</p>' yield '!'
return stream_with_context(generate()) return app.response_class(stream_with_context(generate()))
It can also be used as a decorator. Without the :func:`~flask.stream_with_context` function you would get a
:class:`RuntimeError` at that point.
.. code-block:: python
@stream_with_context
def generate():
...
return generate()
The :func:`~flask.stream_template` and
:func:`~flask.stream_template_string` functions automatically
use :func:`~flask.stream_with_context` if a request is active.

View file

@ -99,7 +99,7 @@ WTForm's field function, which renders the field for us. The keyword
arguments will be inserted as HTML attributes. So, for example, you can arguments will be inserted as HTML attributes. So, for example, you can
call ``render_field(form.username, class='username')`` to add a class to call ``render_field(form.username, class='username')`` to add a class to
the input element. Note that WTForms returns standard Python strings, the input element. Note that WTForms returns standard Python strings,
so we have to tell Jinja that this data is already HTML-escaped with so we have to tell Jinja2 that this data is already HTML-escaped with
the ``|safe`` filter. the ``|safe`` filter.
Here is the :file:`register.html` template for the function we used above, which Here is the :file:`register.html` template for the function we used above, which

View file

@ -39,20 +39,42 @@ Save it as :file:`hello.py` or something similar. Make sure to not call
your application :file:`flask.py` because this would conflict with Flask your application :file:`flask.py` because this would conflict with Flask
itself. itself.
To run the application, use the ``flask`` command or To run the application, use the :command:`flask` command or
``python -m flask``. You need to tell the Flask where your application :command:`python -m flask`. Before you can do that you need
is with the ``--app`` option. to tell your terminal the application to work with by exporting the
``FLASK_APP`` environment variable:
.. code-block:: text .. tabs::
$ flask --app hello run .. group-tab:: Bash
* Serving Flask app 'hello'
* Running on http://127.0.0.1:5000 (Press CTRL+C to quit) .. code-block:: text
$ export FLASK_APP=hello
$ flask run
* Running on http://127.0.0.1:5000/
.. group-tab:: CMD
.. code-block:: text
> set FLASK_APP=hello
> flask run
* Running on http://127.0.0.1:5000/
.. group-tab:: Powershell
.. code-block:: text
> $env:FLASK_APP = "hello"
> flask run
* Running on http://127.0.0.1:5000/
.. admonition:: Application Discovery Behavior .. admonition:: Application Discovery Behavior
As a shortcut, if the file is named ``app.py`` or ``wsgi.py``, you As a shortcut, if the file is named ``app.py`` or ``wsgi.py``, you
don't have to use ``--app``. See :doc:`/cli` for more details. don't have to set the ``FLASK_APP`` environment variable. See
:doc:`/cli` for more details.
This launches a very simple builtin server, which is good enough for This launches a very simple builtin server, which is good enough for
testing but probably not what you want to use in production. For testing but probably not what you want to use in production. For
@ -61,11 +83,6 @@ deployment options see :doc:`deploying/index`.
Now head over to http://127.0.0.1:5000/, and you should see your hello Now head over to http://127.0.0.1:5000/, and you should see your hello
world greeting. world greeting.
If another program is already using port 5000, you'll see
``OSError: [Errno 98]`` or ``OSError: [WinError 10013]`` when the
server tries to start. See :ref:`address-already-in-use` for how to
handle that.
.. _public-server: .. _public-server:
.. admonition:: Externally Visible Server .. admonition:: Externally Visible Server
@ -84,6 +101,34 @@ handle that.
This tells your operating system to listen on all public IPs. This tells your operating system to listen on all public IPs.
What to do if the Server does not Start
---------------------------------------
In case the :command:`python -m flask` fails or :command:`flask`
does not exist, there are multiple reasons this might be the case.
First of all you need to look at the error message.
Old Version of Flask
````````````````````
Versions of Flask older than 0.11 used to have different ways to start the
application. In short, the :command:`flask` command did not exist, and
neither did :command:`python -m flask`. In that case you have two options:
either upgrade to newer Flask versions or have a look at :doc:`/server`
to see the alternative method for running a server.
Invalid Import Name
```````````````````
The ``FLASK_APP`` environment variable is the name of the module to import at
:command:`flask run`. In case that module is incorrectly named you will get an
import error upon start (or if debug is enabled when you navigate to the
application). It will tell you what it tried to import and why it failed.
The most common reason is a typo or because you did not actually create an
``app`` object.
Debug Mode Debug Mode
---------- ----------
@ -104,21 +149,36 @@ error occurs during a request.
security risk. Do not run the development server or debugger in a security risk. Do not run the development server or debugger in a
production environment. production environment.
To enable debug mode, use the ``--debug`` option. To enable all development features, set the ``FLASK_ENV`` environment
variable to ``development`` before calling ``flask run``.
.. code-block:: text .. tabs::
$ flask --app hello run --debug .. group-tab:: Bash
* Serving Flask app 'hello'
* Debug mode: on .. code-block:: text
* Running on http://127.0.0.1:5000 (Press CTRL+C to quit)
* Restarting with stat $ export FLASK_ENV=development
* Debugger is active! $ flask run
* Debugger PIN: nnn-nnn-nnn
.. group-tab:: CMD
.. code-block:: text
> set FLASK_ENV=development
> flask run
.. group-tab:: Powershell
.. code-block:: text
> $env:FLASK_ENV = "development"
> flask run
See also: See also:
- :doc:`/server` and :doc:`/cli` for information about running in debug mode. - :doc:`/server` and :doc:`/cli` for information about running in
development mode.
- :doc:`/debugging` for information about using the built-in debugger - :doc:`/debugging` for information about using the built-in debugger
and other debuggers. and other debuggers.
- :doc:`/logging` and :doc:`/errorhandling` to log errors and display - :doc:`/logging` and :doc:`/errorhandling` to log errors and display
@ -139,16 +199,18 @@ how you're using untrusted data.
.. code-block:: python .. code-block:: python
from flask import request
from markupsafe import escape from markupsafe import escape
@app.route("/hello") @app.route("/<name>")
def hello(): def hello(name):
name = request.args.get("name", "Flask")
return f"Hello, {escape(name)}!" return f"Hello, {escape(name)}!"
If a user submits ``/hello?name=<script>alert("bad")</script>``, escaping causes If a user managed to submit the name ``<script>alert("bad")</script>``,
it to be rendered as text, rather than running the script in the user's browser. escaping causes it to be rendered as text, rather than running the
script in the user's browser.
``<name>`` in the route captures a value from the URL and passes it to
the view function. These variable rules are explained below.
Routing Routing
@ -258,7 +320,7 @@ Why would you want to build URLs using the URL reversing function
For example, here we use the :meth:`~flask.Flask.test_request_context` method For example, here we use the :meth:`~flask.Flask.test_request_context` method
to try out :func:`~flask.url_for`. :meth:`~flask.Flask.test_request_context` to try out :func:`~flask.url_for`. :meth:`~flask.Flask.test_request_context`
tells Flask to behave as though it's handling a request even while we use a tells Flask to behave as though it's handling a request even while we use a
Python shell. See :doc:`/appcontext`. Python shell. See :ref:`context-locals`.
.. code-block:: python .. code-block:: python
@ -308,24 +370,6 @@ of the :meth:`~flask.Flask.route` decorator to handle different HTTP methods.
else: else:
return show_the_login_form() return show_the_login_form()
The example above keeps all methods for the route within one function,
which can be useful if each part uses some common data.
You can also separate views for different methods into different
functions. Flask provides a shortcut for decorating such routes with
:meth:`~flask.Flask.get`, :meth:`~flask.Flask.post`, etc. for each
common HTTP method.
.. code-block:: python
@app.get('/login')
def login_get():
return show_the_login_form()
@app.post('/login')
def login_post():
return do_the_login()
If ``GET`` is present, Flask automatically adds support for the ``HEAD`` method If ``GET`` is present, Flask automatically adds support for the ``HEAD`` method
and handles ``HEAD`` requests according to the `HTTP RFC`_. Likewise, and handles ``HEAD`` requests according to the `HTTP RFC`_. Likewise,
``OPTIONS`` is automatically implemented for you. ``OPTIONS`` is automatically implemented for you.
@ -352,17 +396,9 @@ Rendering Templates
Generating HTML from within Python is not fun, and actually pretty Generating HTML from within Python is not fun, and actually pretty
cumbersome because you have to do the HTML escaping on your own to keep cumbersome because you have to do the HTML escaping on your own to keep
the application secure. Because of that Flask configures the `Jinja the application secure. Because of that Flask configures the `Jinja2
<https://palletsprojects.com/p/jinja/>`_ template engine for you automatically. <https://palletsprojects.com/p/jinja/>`_ template engine for you automatically.
Templates can be used to generate any type of text file. For web applications, you'll
primarily be generating HTML pages, but you can also generate markdown, plain text for
emails, and anything else.
For a reference to HTML, CSS, and other web APIs, use the `MDN Web Docs`_.
.. _MDN Web Docs: https://developer.mozilla.org/
To render a template you can use the :func:`~flask.render_template` To render a template you can use the :func:`~flask.render_template`
method. All you have to do is provide the name of the template and the method. All you have to do is provide the name of the template and the
variables you want to pass to the template engine as keyword arguments. variables you want to pass to the template engine as keyword arguments.
@ -373,7 +409,7 @@ Here's a simple example of how to render a template::
@app.route('/hello/') @app.route('/hello/')
@app.route('/hello/<name>') @app.route('/hello/<name>')
def hello(name=None): def hello(name=None):
return render_template('hello.html', person=name) return render_template('hello.html', name=name)
Flask will look for templates in the :file:`templates` folder. So if your Flask will look for templates in the :file:`templates` folder. So if your
application is a module, this folder is next to that module, if it's a application is a module, this folder is next to that module, if it's a
@ -392,8 +428,8 @@ package it's actually inside your package:
/templates /templates
/hello.html /hello.html
For templates you can use the full power of Jinja templates. Head over For templates you can use the full power of Jinja2 templates. Head over
to the official `Jinja Template Documentation to the official `Jinja2 Template Documentation
<https://jinja.palletsprojects.com/templates/>`_ for more information. <https://jinja.palletsprojects.com/templates/>`_ for more information.
Here is an example template: Here is an example template:
@ -402,8 +438,8 @@ Here is an example template:
<!doctype html> <!doctype html>
<title>Hello from Flask</title> <title>Hello from Flask</title>
{% if person %} {% if name %}
<h1>Hello {{ person }}!</h1> <h1>Hello {{ name }}!</h1>
{% else %} {% else %}
<h1>Hello, World!</h1> <h1>Hello, World!</h1>
{% endif %} {% endif %}
@ -417,7 +453,7 @@ know how that works, see :doc:`patterns/templateinheritance`. Basically
template inheritance makes it possible to keep certain elements on each template inheritance makes it possible to keep certain elements on each
page (like header, navigation and footer). page (like header, navigation and footer).
Automatic escaping is enabled, so if ``person`` contains HTML it will be escaped Automatic escaping is enabled, so if ``name`` contains HTML it will be escaped
automatically. If you can trust a variable and you know that it will be automatically. If you can trust a variable and you know that it will be
safe HTML (for example because it came from a module that converts wiki safe HTML (for example because it came from a module that converts wiki
markup to HTML) you can mark it as safe by using the markup to HTML) you can mark it as safe by using the
@ -432,7 +468,7 @@ Here is a basic introduction to how the :class:`~markupsafe.Markup` class works:
>>> Markup.escape('<blink>hacker</blink>') >>> Markup.escape('<blink>hacker</blink>')
Markup('&lt;blink&gt;hacker&lt;/blink&gt;') Markup('&lt;blink&gt;hacker&lt;/blink&gt;')
>>> Markup('<em>Marked up</em> &raquo; HTML').striptags() >>> Markup('<em>Marked up</em> &raquo; HTML').striptags()
'Marked up » HTML' 'Marked up \xbb HTML'
.. versionchanged:: 0.5 .. versionchanged:: 0.5
@ -449,58 +485,105 @@ Here is a basic introduction to how the :class:`~markupsafe.Markup` class works:
Accessing Request Data Accessing Request Data
---------------------- ----------------------
For web applications it's crucial to react to the data a client sends to the For web applications it's crucial to react to the data a client sends to
server. In Flask this information is provided by the global :data:`.request` the server. In Flask this information is provided by the global
object, which is an instance of :class:`.Request`. This object has many :class:`~flask.request` object. If you have some experience with Python
attributes and methods to work with the incoming request data, but here is a you might be wondering how that object can be global and how Flask
broad overview. First it needs to be imported. manages to still be threadsafe. The answer is context locals:
.. code-block:: python
.. _context-locals:
Context Locals
``````````````
.. admonition:: Insider Information
If you want to understand how that works and how you can implement
tests with context locals, read this section, otherwise just skip it.
Certain objects in Flask are global objects, but not of the usual kind.
These objects are actually proxies to objects that are local to a specific
context. What a mouthful. But that is actually quite easy to understand.
Imagine the context being the handling thread. A request comes in and the
web server decides to spawn a new thread (or something else, the
underlying object is capable of dealing with concurrency systems other
than threads). When Flask starts its internal request handling it
figures out that the current thread is the active context and binds the
current application and the WSGI environments to that context (thread).
It does that in an intelligent way so that one application can invoke another
application without breaking.
So what does this mean to you? Basically you can completely ignore that
this is the case unless you are doing something like unit testing. You
will notice that code which depends on a request object will suddenly break
because there is no request object. The solution is creating a request
object yourself and binding it to the context. The easiest solution for
unit testing is to use the :meth:`~flask.Flask.test_request_context`
context manager. In combination with the ``with`` statement it will bind a
test request so that you can interact with it. Here is an example::
from flask import request from flask import request
If you have some experience with Python you might be wondering how that object with app.test_request_context('/hello', method='POST'):
can be global when Flask handles multiple requests at a time. The answer is # now you can do something with the request until the
that :data:`.request` is actually a proxy, pointing at whatever request is # end of the with block, such as basic assertions:
currently being handled by a given worker, which is managed internally by Flask assert request.path == '/hello'
and Python. See :doc:`/appcontext` for much more information. assert request.method == 'POST'
The current request method is available in the :attr:`~.Request.method` The other possibility is passing a whole WSGI environment to the
attribute. To access form data (data transmitted in a ``POST`` or ``PUT`` :meth:`~flask.Flask.request_context` method::
request), use the :attr:`~flask.Request.form` attribute, which behaves like a
dict.
.. code-block:: python with app.request_context(environ):
assert request.method == 'POST'
@app.route("/login", methods=["GET", "POST"]) The Request Object
``````````````````
The request object is documented in the API section and we will not cover
it here in detail (see :class:`~flask.Request`). Here is a broad overview of
some of the most common operations. First of all you have to import it from
the ``flask`` module::
from flask import request
The current request method is available by using the
:attr:`~flask.Request.method` attribute. To access form data (data
transmitted in a ``POST`` or ``PUT`` request) you can use the
:attr:`~flask.Request.form` attribute. Here is a full example of the two
attributes mentioned above::
@app.route('/login', methods=['POST', 'GET'])
def login(): def login():
error = None error = None
if request.method == 'POST':
if request.method == "POST": if valid_login(request.form['username'],
if valid_login(request.form["username"], request.form["password"]): request.form['password']):
return store_login(request.form["username"]) return log_the_user_in(request.form['username'])
else: else:
error = "Invalid username or password" error = 'Invalid username/password'
# the code below is executed if the request method
# was GET or the credentials were invalid
return render_template('login.html', error=error)
# Executed if the request method was GET or the credentials were invalid. What happens if the key does not exist in the ``form`` attribute? In that
return render_template("login.html", error=error) case a special :exc:`KeyError` is raised. You can catch it like a
standard :exc:`KeyError` but if you don't do that, a HTTP 400 Bad Request
error page is shown instead. So for many situations you don't have to
deal with that problem.
If the key does not exist in ``form``, a special :exc:`KeyError` is raised. You To access parameters submitted in the URL (``?key=value``) you can use the
can catch it like a normal ``KeyError``, otherwise it will return a HTTP 400 :attr:`~flask.Request.args` attribute::
Bad Request error page. You can also use the
:meth:`~werkzeug.datastructures.MultiDict.get` method to get a default
instead of an error.
To access parameters submitted in the URL (``?key=value``), use the
:attr:`~.Request.args` attribute. Key errors behave the same as ``form``,
returning a 400 response if not caught.
.. code-block:: python
searchword = request.args.get('key', '') searchword = request.args.get('key', '')
For a full list of methods and attributes of the request object, see the We recommend accessing URL parameters with `get` or by catching the
:class:`~.Request` documentation. :exc:`KeyError` because users might change the URL and presenting them a 400
bad request page in that case is not user friendly.
For a full list of methods and attributes of the request object, head over
to the :class:`~flask.Request` documentation.
File Uploads File Uploads
@ -637,25 +720,22 @@ The return value from a view function is automatically converted into
a response object for you. If the return value is a string it's a response object for you. If the return value is a string it's
converted into a response object with the string as response body, a converted into a response object with the string as response body, a
``200 OK`` status code and a :mimetype:`text/html` mimetype. If the ``200 OK`` status code and a :mimetype:`text/html` mimetype. If the
return value is a dict or list, :func:`jsonify` is called to produce a return value is a dict, :func:`jsonify` is called to produce a response.
response. The logic that Flask applies to converting return values into The logic that Flask applies to converting return values into response
response objects is as follows: objects is as follows:
1. If a response object of the correct type is returned it's directly 1. If a response object of the correct type is returned it's directly
returned from the view. returned from the view.
2. If it's a string, a response object is created with that data and 2. If it's a string, a response object is created with that data and
the default parameters. the default parameters.
3. If it's an iterator or generator returning strings or bytes, it is 3. If it's a dict, a response object is created using ``jsonify``.
treated as a streaming response. 4. If a tuple is returned the items in the tuple can provide extra
4. If it's a dict or list, a response object is created using
:func:`~flask.json.jsonify`.
5. If a tuple is returned the items in the tuple can provide extra
information. Such tuples have to be in the form information. Such tuples have to be in the form
``(response, status)``, ``(response, headers)``, or ``(response, status)``, ``(response, headers)``, or
``(response, status, headers)``. The ``status`` value will override ``(response, status, headers)``. The ``status`` value will override
the status code and ``headers`` can be a list or dictionary of the status code and ``headers`` can be a list or dictionary of
additional header values. additional header values.
6. If none of that works, Flask will assume the return value is a 5. If none of that works, Flask will assume the return value is a
valid WSGI application and convert that into a response object. valid WSGI application and convert that into a response object.
If you want to get hold of the resulting response object inside the view If you want to get hold of the resulting response object inside the view
@ -686,8 +766,8 @@ APIs with JSON
`````````````` ``````````````
A common response format when writing an API is JSON. It's easy to get A common response format when writing an API is JSON. It's easy to get
started writing such an API with Flask. If you return a ``dict`` or started writing such an API with Flask. If you return a ``dict`` from a
``list`` from a view, it will be converted to a JSON response. view, it will be converted to a JSON response.
.. code-block:: python .. code-block:: python
@ -700,20 +780,20 @@ started writing such an API with Flask. If you return a ``dict`` or
"image": url_for("user_image", filename=user.image), "image": url_for("user_image", filename=user.image),
} }
Depending on your API design, you may want to create JSON responses for
types other than ``dict``. In that case, use the
:func:`~flask.json.jsonify` function, which will serialize any supported
JSON data type. Or look into Flask community extensions that support
more complex applications.
.. code-block:: python
from flask import jsonify
@app.route("/users") @app.route("/users")
def users_api(): def users_api():
users = get_all_users() users = get_all_users()
return [user.to_json() for user in users] return jsonify([user.to_json() for user in users])
This is a shortcut to passing the data to the
:func:`~flask.json.jsonify` function, which will serialize any supported
JSON data type. That means that all the data in the dict or list must be
JSON serializable.
For complex types such as database models, you'll want to use a
serialization library to convert the data to valid JSON types first.
There are many serialization libraries and Flask API extensions
maintained by the community that support more complex applications.
.. _sessions: .. _sessions:
@ -767,8 +847,8 @@ sessions work::
generator. Use the following command to quickly generate a value for generator. Use the following command to quickly generate a value for
:attr:`Flask.secret_key` (or :data:`SECRET_KEY`):: :attr:`Flask.secret_key` (or :data:`SECRET_KEY`)::
$ python -c 'import secrets; print(secrets.token_hex())' $ python -c 'import os; print(os.urandom(16))'
'192b9bdd22ab9ed4d12e236c78afcb9a393ec15f71bbf5dc987d54727823bcbf' b'_5#y2L"F4Q8z\n\xec]/'
A note on cookie-based sessions: Flask will take the values you put into the A note on cookie-based sessions: Flask will take the values you put into the
session object and serialize them into a cookie. If you are finding some session object and serialize them into a cookie. If you are finding some

View file

@ -1,6 +1,265 @@
:orphan: .. currentmodule:: flask
The Request Context The Request Context
=================== ===================
Obsolete, see :doc:`/appcontext` instead. The request context keeps track of the request-level data during a
request. Rather than passing the request object to each function that
runs during a request, the :data:`request` and :data:`session` proxies
are accessed instead.
This is similar to :doc:`/appcontext`, which keeps track of the
application-level data independent of a request. A corresponding
application context is pushed when a request context is pushed.
Purpose of the Context
----------------------
When the :class:`Flask` application handles a request, it creates a
:class:`Request` object based on the environment it received from the
WSGI server. Because a *worker* (thread, process, or coroutine depending
on the server) handles only one request at a time, the request data can
be considered global to that worker during that request. Flask uses the
term *context local* for this.
Flask automatically *pushes* a request context when handling a request.
View functions, error handlers, and other functions that run during a
request will have access to the :data:`request` proxy, which points to
the request object for the current request.
Lifetime of the Context
-----------------------
When a Flask application begins handling a request, it pushes a request
context, which also pushes an :doc:`app context </appcontext>`. When the
request ends it pops the request context then the application context.
The context is unique to each thread (or other worker type).
:data:`request` cannot be passed to another thread, the other thread
will have a different context stack and will not know about the request
the parent thread was pointing to.
Context locals are implemented in Werkzeug. See :doc:`werkzeug:local`
for more information on how this works internally.
Manually Push a Context
-----------------------
If you try to access :data:`request`, or anything that uses it, outside
a request context, you'll get this error message:
.. code-block:: pytb
RuntimeError: Working outside of request context.
This typically means that you attempted to use functionality that
needed an active HTTP request. Consult the documentation on testing
for information about how to avoid this problem.
This should typically only happen when testing code that expects an
active request. One option is to use the
:meth:`test client <Flask.test_client>` to simulate a full request. Or
you can use :meth:`~Flask.test_request_context` in a ``with`` block, and
everything that runs in the block will have access to :data:`request`,
populated with your test data. ::
def generate_report(year):
format = request.args.get('format')
...
with app.test_request_context(
'/make_report/2017', data={'format': 'short'}):
generate_report()
If you see that error somewhere else in your code not related to
testing, it most likely indicates that you should move that code into a
view function.
For information on how to use the request context from the interactive
Python shell, see :doc:`/shell`.
How the Context Works
---------------------
The :meth:`Flask.wsgi_app` method is called to handle each request. It
manages the contexts during the request. Internally, the request and
application contexts work as stacks, :data:`_request_ctx_stack` and
:data:`_app_ctx_stack`. When contexts are pushed onto the stack, the
proxies that depend on them are available and point at information from
the top context on the stack.
When the request starts, a :class:`~ctx.RequestContext` is created and
pushed, which creates and pushes an :class:`~ctx.AppContext` first if
a context for that application is not already the top context. While
these contexts are pushed, the :data:`current_app`, :data:`g`,
:data:`request`, and :data:`session` proxies are available to the
original thread handling the request.
Because the contexts are stacks, other contexts may be pushed to change
the proxies during a request. While this is not a common pattern, it
can be used in advanced applications to, for example, do internal
redirects or chain different applications together.
After the request is dispatched and a response is generated and sent,
the request context is popped, which then pops the application context.
Immediately before they are popped, the :meth:`~Flask.teardown_request`
and :meth:`~Flask.teardown_appcontext` functions are executed. These
execute even if an unhandled exception occurred during dispatch.
.. _callbacks-and-errors:
Callbacks and Errors
--------------------
Flask dispatches a request in multiple stages which can affect the
request, response, and how errors are handled. The contexts are active
during all of these stages.
A :class:`Blueprint` can add handlers for these events that are specific
to the blueprint. The handlers for a blueprint will run if the blueprint
owns the route that matches the request.
#. Before each request, :meth:`~Flask.before_request` functions are
called. If one of these functions return a value, the other
functions are skipped. The return value is treated as the response
and the view function is not called.
#. If the :meth:`~Flask.before_request` functions did not return a
response, the view function for the matched route is called and
returns a response.
#. The return value of the view is converted into an actual response
object and passed to the :meth:`~Flask.after_request`
functions. Each function returns a modified or new response object.
#. After the response is returned, the contexts are popped, which calls
the :meth:`~Flask.teardown_request` and
:meth:`~Flask.teardown_appcontext` functions. These functions are
called even if an unhandled exception was raised at any point above.
If an exception is raised before the teardown functions, Flask tries to
match it with an :meth:`~Flask.errorhandler` function to handle the
exception and return a response. If no error handler is found, or the
handler itself raises an exception, Flask returns a generic
``500 Internal Server Error`` response. The teardown functions are still
called, and are passed the exception object.
If debug mode is enabled, unhandled exceptions are not converted to a
``500`` response and instead are propagated to the WSGI server. This
allows the development server to present the interactive debugger with
the traceback.
Teardown Callbacks
~~~~~~~~~~~~~~~~~~
The teardown callbacks are independent of the request dispatch, and are
instead called by the contexts when they are popped. The functions are
called even if there is an unhandled exception during dispatch, and for
manually pushed contexts. This means there is no guarantee that any
other parts of the request dispatch have run first. Be sure to write
these functions in a way that does not depend on other callbacks and
will not fail.
During testing, it can be useful to defer popping the contexts after the
request ends, so that their data can be accessed in the test function.
Use the :meth:`~Flask.test_client` as a ``with`` block to preserve the
contexts until the ``with`` block exits.
.. code-block:: python
from flask import Flask, request
app = Flask(__name__)
@app.route('/')
def hello():
print('during view')
return 'Hello, World!'
@app.teardown_request
def show_teardown(exception):
print('after with block')
with app.test_request_context():
print('during with block')
# teardown functions are called after the context with block exits
with app.test_client() as client:
client.get('/')
# the contexts are not popped even though the request ended
print(request.path)
# the contexts are popped and teardown functions are called after
# the client with block exits
Signals
~~~~~~~
If :data:`~signals.signals_available` is true, the following signals are
sent:
#. :data:`request_started` is sent before the
:meth:`~Flask.before_request` functions are called.
#. :data:`request_finished` is sent after the
:meth:`~Flask.after_request` functions are called.
#. :data:`got_request_exception` is sent when an exception begins to
be handled, but before an :meth:`~Flask.errorhandler` is looked up or
called.
#. :data:`request_tearing_down` is sent after the
:meth:`~Flask.teardown_request` functions are called.
Context Preservation on Error
-----------------------------
At the end of a request, the request context is popped and all data
associated with it is destroyed. If an error occurs during development,
it is useful to delay destroying the data for debugging purposes.
When the development server is running in development mode (the
``FLASK_ENV`` environment variable is set to ``'development'``), the
error and data will be preserved and shown in the interactive debugger.
This behavior can be controlled with the
:data:`PRESERVE_CONTEXT_ON_EXCEPTION` config. As described above, it
defaults to ``True`` in the development environment.
Do not enable :data:`PRESERVE_CONTEXT_ON_EXCEPTION` in production, as it
will cause your application to leak memory on exceptions.
.. _notes-on-proxies:
Notes On Proxies
----------------
Some of the objects provided by Flask are proxies to other objects. The
proxies are accessed in the same way for each worker thread, but
point to the unique object bound to each worker behind the scenes as
described on this page.
Most of the time you don't have to care about that, but there are some
exceptions where it is good to know that this object is actually a proxy:
- The proxy objects cannot fake their type as the actual object types.
If you want to perform instance checks, you have to do that on the
object being proxied.
- The reference to the proxied object is needed in some situations,
such as sending :doc:`signals` or passing data to a background
thread.
If you need to access the underlying object that is proxied, use the
:meth:`~werkzeug.local.LocalProxy._get_current_object` method::
app = current_app._get_current_object()
my_signal.send(app)

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@ -1,43 +1,9 @@
Security Considerations Security Considerations
======================= =======================
Web applications face many types of potential security problems, and it can be Web applications usually face all kinds of security problems and it's very
hard to get everything right, or even to know what "right" is in general. Flask hard to get everything right. Flask tries to solve a few of these things
tries to solve a few of these things by default, but there are other parts you for you, but there are a couple more you have to take care of yourself.
may have to take care of yourself. Many of these solutions are tradeoffs, and
will depend on each application's specific needs and threat model. Many hosting
platforms may take care of certain types of problems without the need for the
Flask application to handle them.
Resource Use
------------
A common category of attacks is "Denial of Service" (DoS or DDoS). This is a
very broad category, and different variants target different layers in a
deployed application. In general, something is done to increase how much
processing time or memory is used to handle each request, to the point where
there are not enough resources to handle legitimate requests.
Flask provides a few configuration options to handle resource use. They can
also be set on individual requests to customize only that request. The
documentation for each goes into more detail.
- :data:`MAX_CONTENT_LENGTH` or :attr:`.Request.max_content_length` controls
how much data will be read from a request. It is not set by default,
although it will still block truly unlimited streams unless the WSGI server
indicates support.
- :data:`MAX_FORM_MEMORY_SIZE` or :attr:`.Request.max_form_memory_size`
controls how large any non-file ``multipart/form-data`` field can be. It is
set to 500kB by default.
- :data:`MAX_FORM_PARTS` or :attr:`.Request.max_form_parts` controls how many
``multipart/form-data`` fields can be parsed. It is set to 1000 by default.
Combined with the default `max_form_memory_size`, this means that a form
will occupy at most 500MB of memory.
Regardless of these settings, you should also review what settings are available
from your operating system, container deployment (Docker etc), WSGI server, HTTP
server, and hosting platform. They typically have ways to set process resource
limits, timeouts, and other checks regardless of how Flask is configured.
.. _security-xss: .. _security-xss:
@ -51,13 +17,13 @@ tags. For more information on that have a look at the Wikipedia article
on `Cross-Site Scripting on `Cross-Site Scripting
<https://en.wikipedia.org/wiki/Cross-site_scripting>`_. <https://en.wikipedia.org/wiki/Cross-site_scripting>`_.
Flask configures Jinja to automatically escape all values unless Flask configures Jinja2 to automatically escape all values unless
explicitly told otherwise. This should rule out all XSS problems caused explicitly told otherwise. This should rule out all XSS problems caused
in templates, but there are still other places where you have to be in templates, but there are still other places where you have to be
careful: careful:
- generating HTML without the help of Jinja - generating HTML without the help of Jinja2
- calling :class:`~markupsafe.Markup` on data submitted by users - calling :class:`~flask.Markup` on data submitted by users
- sending out HTML from uploaded files, never do that, use the - sending out HTML from uploaded files, never do that, use the
``Content-Disposition: attachment`` header to prevent that problem. ``Content-Disposition: attachment`` header to prevent that problem.
- sending out textfiles from uploaded files. Some browsers are using - sending out textfiles from uploaded files. Some browsers are using
@ -65,7 +31,7 @@ careful:
trick a browser to execute HTML. trick a browser to execute HTML.
Another thing that is very important are unquoted attributes. While Another thing that is very important are unquoted attributes. While
Jinja can protect you from XSS issues by escaping HTML, there is one Jinja2 can protect you from XSS issues by escaping HTML, there is one
thing it cannot protect you from: XSS by attribute injection. To counter thing it cannot protect you from: XSS by attribute injection. To counter
this possible attack vector, be sure to always quote your attributes with this possible attack vector, be sure to always quote your attributes with
either double or single quotes when using Jinja expressions in them: either double or single quotes when using Jinja expressions in them:
@ -158,7 +124,7 @@ recommend reviewing each of the headers below for use in your application.
The `Flask-Talisman`_ extension can be used to manage HTTPS and the security The `Flask-Talisman`_ extension can be used to manage HTTPS and the security
headers for you. headers for you.
.. _Flask-Talisman: https://github.com/wntrblm/flask-talisman .. _Flask-Talisman: https://github.com/GoogleCloudPlatform/flask-talisman
HTTP Strict Transport Security (HSTS) HTTP Strict Transport Security (HSTS)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@ -207,6 +173,18 @@ invisibly to clicks on your page's elements. This is also known as
- https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/X-Frame-Options - https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/X-Frame-Options
X-XSS-Protection
~~~~~~~~~~~~~~~~
The browser will try to prevent reflected XSS attacks by not loading the page
if the request contains something that looks like JavaScript and the response
contains the same data. ::
response.headers['X-XSS-Protection'] = '1; mode=block'
- https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/X-XSS-Protection
.. _security-cookie: .. _security-cookie:
Set-Cookie options Set-Cookie options
@ -269,25 +247,17 @@ values (or any values that need secure signatures).
.. _samesite_support: https://caniuse.com/#feat=same-site-cookie-attribute .. _samesite_support: https://caniuse.com/#feat=same-site-cookie-attribute
Host Header Validation HTTP Public Key Pinning (HPKP)
---------------------- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The ``Host`` header is used by the client to indicate what host name the request This tells the browser to authenticate with the server using only the specific
was made to. This is used, for example, by ``url_for(..., _external=True)`` to certificate key to prevent MITM attacks.
generate full URLs, for use in email or other messages outside the browser
window.
By default the app doesn't know what host(s) it is allowed to be accessed .. warning::
through, and assumes any host is valid. Although browsers do not allow setting Be careful when enabling this, as it is very difficult to undo if you set up
the ``Host`` header, requests made by attackers in other scenarios could set or upgrade your key incorrectly.
the ``Host`` header to a value they want.
When deploying your application, set :data:`TRUSTED_HOSTS` to restrict what - https://developer.mozilla.org/en-US/docs/Web/HTTP/Public_Key_Pinning
values the ``Host`` header may be.
The ``Host`` header may be modified by proxies in between the client and your
application. See :doc:`deploying/proxy_fix` to tell your app which proxy values
to trust.
Copy/Paste to Terminal Copy/Paste to Terminal

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@ -3,9 +3,9 @@
Development Server Development Server
================== ==================
Flask provides a ``run`` command to run the application with a development server. In Flask provides a ``run`` command to run the application with a
debug mode, this server provides an interactive debugger and will reload when code is development server. In development mode, this server provides an
changed. interactive debugger and will reload when code is changed.
.. warning:: .. warning::
@ -18,92 +18,86 @@ changed.
Command Line Command Line
------------ ------------
The ``flask run`` CLI command is the recommended way to run the development server. Use The ``flask run`` command line script is the recommended way to run the
the ``--app`` option to point to your application, and the ``--debug`` option to enable development server. It requires setting the ``FLASK_APP`` environment
debug mode. variable to point to your application, and ``FLASK_ENV=development`` to
fully enable development mode.
.. code-block:: text
$ flask --app hello run --debug
This enables debug mode, including the interactive debugger and reloader, and then
starts the server on http://localhost:5000/. Use ``flask run --help`` to see the
available options, and :doc:`/cli` for detailed instructions about configuring and using
the CLI.
.. _address-already-in-use:
Address already in use
~~~~~~~~~~~~~~~~~~~~~~
If another program is already using port 5000, you'll see an ``OSError``
when the server tries to start. It may have one of the following
messages:
- ``OSError: [Errno 98] Address already in use``
- ``OSError: [WinError 10013] An attempt was made to access a socket
in a way forbidden by its access permissions``
Either identify and stop the other program, or use
``flask run --port 5001`` to pick a different port.
You can use ``netstat`` or ``lsof`` to identify what process id is using
a port, then use other operating system tools stop that process. The
following example shows that process id 6847 is using port 5000.
.. tabs:: .. tabs::
.. tab:: ``netstat`` (Linux) .. group-tab:: Bash
.. code-block:: text .. code-block:: text
$ netstat -nlp | grep 5000 $ export FLASK_APP=hello
tcp 0 0 127.0.0.1:5000 0.0.0.0:* LISTEN 6847/python $ export FLASK_ENV=development
$ flask run
.. tab:: ``lsof`` (macOS / Linux) .. group-tab:: CMD
.. code-block:: text .. code-block:: text
$ lsof -P -i :5000 > set FLASK_APP=hello
Python 6847 IPv4 TCP localhost:5000 (LISTEN) > set FLASK_ENV=development
> flask run
.. tab:: ``netstat`` (Windows) .. group-tab:: Powershell
.. code-block:: text .. code-block:: text
> netstat -ano | findstr 5000 > $env:FLASK_APP = "hello"
TCP 127.0.0.1:5000 0.0.0.0:0 LISTENING 6847 > $env:FLASK_ENV = "development"
> flask run
macOS Monterey and later automatically starts a service that uses port This enables the development environment, including the interactive
5000. You can choose to disable this service instead of using a different port by debugger and reloader, and then starts the server on
searching for "AirPlay Receiver" in System Settings and toggling it off. http://localhost:5000/. Use ``flask run --help`` to see the available
options, and :doc:`/cli` for detailed instructions about configuring
and using the CLI.
.. note::
Prior to Flask 1.0 the ``FLASK_ENV`` environment variable was not
supported and you needed to enable debug mode by exporting
``FLASK_DEBUG=1``. This can still be used to control debug mode, but
you should prefer setting the development environment as shown
above.
Deferred Errors on Reload Lazy or Eager Loading
~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~
When using the ``flask run`` command with the reloader, the server will When using the ``flask run`` command with the reloader, the server will
continue to run even if you introduce syntax errors or other continue to run even if you introduce syntax errors or other
initialization errors into the code. Accessing the site will show the initialization errors into the code. Accessing the site will show the
interactive debugger for the error, rather than crashing the server. interactive debugger for the error, rather than crashing the server.
This feature is called "lazy loading".
If a syntax error is already present when calling ``flask run``, it will If a syntax error is already present when calling ``flask run``, it will
fail immediately and show the traceback rather than waiting until the fail immediately and show the traceback rather than waiting until the
site is accessed. This is intended to make errors more visible initially site is accessed. This is intended to make errors more visible initially
while still allowing the server to handle errors on reload. while still allowing the server to handle errors on reload.
To override this behavior and always fail immediately, even on reload,
pass the ``--eager-loading`` option. To always keep the server running,
even on the initial call, pass ``--lazy-loading``.
In Code In Code
------- -------
The development server can also be started from Python with the :meth:`Flask.run` As an alternative to the ``flask run`` command, the development server
method. This method takes arguments similar to the CLI options to control the server. can also be started from Python with the :meth:`Flask.run` method. This
The main difference from the CLI command is that the server will crash if there are method takes arguments similar to the CLI options to control the server.
errors when reloading. ``debug=True`` can be passed to enable debug mode. The main difference from the CLI command is that the server will crash
if there are errors when reloading.
Place the call in a main block, otherwise it will interfere when trying to import and ``debug=True`` can be passed to enable the debugger and reloader, but
run the application with a production server later. the ``FLASK_ENV=development`` environment variable is still required to
fully enable development mode.
Place the call in a main block, otherwise it will interfere when trying
to import and run the application with a production server later.
.. code-block:: python .. code-block:: python

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@ -1,37 +1,56 @@
Working with the Shell Working with the Shell
====================== ======================
One of the reasons everybody loves Python is the interactive shell. It allows .. versionadded:: 0.3
you to play around with code in real time and immediately get results back.
Flask provides the ``flask shell`` CLI command to start an interactive Python
shell with some setup done to make working with the Flask app easier.
.. code-block:: text One of the reasons everybody loves Python is the interactive shell. It
basically allows you to execute Python commands in real time and
immediately get results back. Flask itself does not come with an
interactive shell, because it does not require any specific setup upfront,
just import your application and start playing around.
$ flask shell There are however some handy helpers to make playing around in the shell a
more pleasant experience. The main issue with interactive console
sessions is that you're not triggering a request like a browser does which
means that :data:`~flask.g`, :data:`~flask.request` and others are not
available. But the code you want to test might depend on them, so what
can you do?
This is where some helper functions come in handy. Keep in mind however
that these functions are not only there for interactive shell usage, but
also for unit testing and other situations that require a faked request
context.
Generally it's recommended that you read :doc:`reqcontext` first.
Command Line Interface
----------------------
Starting with Flask 0.11 the recommended way to work with the shell is the
``flask shell`` command which does a lot of this automatically for you.
For instance the shell is automatically initialized with a loaded
application context.
For more information see :doc:`/cli`.
Creating a Request Context Creating a Request Context
-------------------------- --------------------------
``flask shell`` pushes an app context automatically, so :data:`.current_app` and
:data:`.g` are already available. However, there is no HTTP request being
handled in the shell, so :data:`.request` and :data:`.session` are not yet
available.
The easiest way to create a proper request context from the shell is by The easiest way to create a proper request context from the shell is by
using the :attr:`~flask.Flask.test_request_context` method which creates using the :attr:`~flask.Flask.test_request_context` method which creates
us a :class:`~flask.ctx.RequestContext`: us a :class:`~flask.ctx.RequestContext`:
>>> ctx = app.test_request_context() >>> ctx = app.test_request_context()
Normally you would use the ``with`` statement to make this context active, but Normally you would use the ``with`` statement to make this request object
in the shell it's easier to call :meth:`~.RequestContext.push` and active, but in the shell it's easier to use the
:meth:`~.RequestContext.pop` manually: :meth:`~flask.ctx.RequestContext.push` and
:meth:`~flask.ctx.RequestContext.pop` methods by hand:
>>> ctx.push() >>> ctx.push()
From that point onwards you can work with the request object until you call From that point onwards you can work with the request object until you
``pop``: call `pop`:
>>> ctx.pop() >>> ctx.pop()

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@ -1,28 +1,33 @@
Signals Signals
======= =======
Signals are a lightweight way to notify subscribers of certain events during the .. versionadded:: 0.6
lifecycle of the application and each request. When an event occurs, it emits the
signal, which calls each subscriber.
Signals are implemented by the `Blinker`_ library. See its documentation for detailed Starting with Flask 0.6, there is integrated support for signalling in
information. Flask provides some built-in signals. Extensions may provide their own. Flask. This support is provided by the excellent `blinker`_ library and
will gracefully fall back if it is not available.
Many signals mirror Flask's decorator-based callbacks with similar names. For example, What are signals? Signals help you decouple applications by sending
the :data:`.request_started` signal is similar to the :meth:`~.Flask.before_request` notifications when actions occur elsewhere in the core framework or
decorator. The advantage of signals over handlers is that they can be subscribed to another Flask extensions. In short, signals allow certain senders to
temporarily, and can't directly affect the application. This is useful for testing, notify subscribers that something happened.
metrics, auditing, and more. For example, if you want to know what templates were
rendered at what parts of what requests, there is a signal that will notify you of that
information.
Flask comes with a couple of signals and other extensions might provide
more. Also keep in mind that signals are intended to notify subscribers
and should not encourage subscribers to modify data. You will notice that
there are signals that appear to do the same thing like some of the
builtin decorators do (eg: :data:`~flask.request_started` is very similar
to :meth:`~flask.Flask.before_request`). However, there are differences in
how they work. The core :meth:`~flask.Flask.before_request` handler, for
example, is executed in a specific order and is able to abort the request
early by returning a response. In contrast all signal handlers are
executed in undefined order and do not modify any data.
Core Signals The big advantage of signals over handlers is that you can safely
------------ subscribe to them for just a split second. These temporary
subscriptions are helpful for unit testing for example. Say you want to
See :ref:`core-signals-list` for a list of all built-in signals. The :doc:`lifecycle` know what templates were rendered as part of a request: signals allow you
page also describes the order that signals and decorators execute. to do exactly that.
Subscribing to Signals Subscribing to Signals
---------------------- ----------------------
@ -94,12 +99,17 @@ The example above would then look like this::
... ...
template, context = templates[0] template, context = templates[0]
.. admonition:: Blinker API Changes
The :meth:`~blinker.base.Signal.connected_to` method arrived in Blinker
with version 1.1.
Creating Signals Creating Signals
---------------- ----------------
If you want to use signals in your own application, you can use the If you want to use signals in your own application, you can use the
blinker library directly. The most common use case are named signals in a blinker library directly. The most common use case are named signals in a
custom :class:`~blinker.base.Namespace`. This is what is recommended custom :class:`~blinker.base.Namespace`.. This is what is recommended
most of the time:: most of the time::
from blinker import Namespace from blinker import Namespace
@ -113,6 +123,12 @@ The name for the signal here makes it unique and also simplifies
debugging. You can access the name of the signal with the debugging. You can access the name of the signal with the
:attr:`~blinker.base.NamedSignal.name` attribute. :attr:`~blinker.base.NamedSignal.name` attribute.
.. admonition:: For Extension Developers
If you are writing a Flask extension and you want to gracefully degrade for
missing blinker installations, you can do so by using the
:class:`flask.signals.Namespace` class.
.. _signals-sending: .. _signals-sending:
Sending Signals Sending Signals
@ -144,23 +160,29 @@ function, you can pass ``current_app._get_current_object()`` as sender.
Signals and Flask's Request Context Signals and Flask's Request Context
----------------------------------- -----------------------------------
Context-local proxies are available between :data:`~flask.request_started` and Signals fully support :doc:`reqcontext` when receiving signals.
:data:`~flask.request_finished`, so you can rely on :class:`flask.g` and others Context-local variables are consistently available between
as needed. Note the limitations described in :ref:`signals-sending` and the :data:`~flask.request_started` and :data:`~flask.request_finished`, so you can
:data:`~flask.request_tearing_down` signal. rely on :class:`flask.g` and others as needed. Note the limitations described
in :ref:`signals-sending` and the :data:`~flask.request_tearing_down` signal.
Decorator Based Signal Subscriptions Decorator Based Signal Subscriptions
------------------------------------ ------------------------------------
You can also easily subscribe to signals by using the With Blinker 1.1 you can also easily subscribe to signals by using the new
:meth:`~blinker.base.NamedSignal.connect_via` decorator:: :meth:`~blinker.base.NamedSignal.connect_via` decorator::
from flask import template_rendered from flask import template_rendered
@template_rendered.connect_via(app) @template_rendered.connect_via(app)
def when_template_rendered(sender, template, context, **extra): def when_template_rendered(sender, template, context, **extra):
print(f'Template {template.name} is rendered with {context}') print f'Template {template.name} is rendered with {context}'
Core Signals
------------
Take a look at :ref:`core-signals-list` for a list of all builtin signals.
.. _blinker: https://pypi.org/project/blinker/ .. _blinker: https://pypi.org/project/blinker/

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@ -1,37 +1,37 @@
Templates Templates
========= =========
Flask leverages Jinja as its template engine. You are obviously free to use Flask leverages Jinja2 as its template engine. You are obviously free to use
a different template engine, but you still have to install Jinja to run a different template engine, but you still have to install Jinja2 to run
Flask itself. This requirement is necessary to enable rich extensions. Flask itself. This requirement is necessary to enable rich extensions.
An extension can depend on Jinja being present. An extension can depend on Jinja2 being present.
This section only gives a very quick introduction into how Jinja This section only gives a very quick introduction into how Jinja2
is integrated into Flask. If you want information on the template is integrated into Flask. If you want information on the template
engine's syntax itself, head over to the official `Jinja Template engine's syntax itself, head over to the official `Jinja2 Template
Documentation <https://jinja.palletsprojects.com/templates/>`_ for Documentation <https://jinja.palletsprojects.com/templates/>`_ for
more information. more information.
Jinja Setup Jinja Setup
----------- -----------
Unless customized, Jinja is configured by Flask as follows: Unless customized, Jinja2 is configured by Flask as follows:
- autoescaping is enabled for all templates ending in ``.html``, - autoescaping is enabled for all templates ending in ``.html``,
``.htm``, ``.xml``, ``.xhtml``, as well as ``.svg`` when using ``.htm``, ``.xml`` as well as ``.xhtml`` when using
:func:`~flask.templating.render_template`. :func:`~flask.templating.render_template`.
- autoescaping is enabled for all strings when using - autoescaping is enabled for all strings when using
:func:`~flask.templating.render_template_string`. :func:`~flask.templating.render_template_string`.
- a template has the ability to opt in/out autoescaping with the - a template has the ability to opt in/out autoescaping with the
``{% autoescape %}`` tag. ``{% autoescape %}`` tag.
- Flask inserts a couple of global functions and helpers into the - Flask inserts a couple of global functions and helpers into the
Jinja context, additionally to the values that are present by Jinja2 context, additionally to the values that are present by
default. default.
Standard Context Standard Context
---------------- ----------------
The following global variables are available within Jinja templates The following global variables are available within Jinja2 templates
by default: by default:
.. data:: config .. data:: config
@ -115,7 +115,7 @@ markdown to HTML converter.
There are three ways to accomplish that: There are three ways to accomplish that:
- In the Python code, wrap the HTML string in a :class:`~markupsafe.Markup` - In the Python code, wrap the HTML string in a :class:`~flask.Markup`
object before passing it to the template. This is in general the object before passing it to the template. This is in general the
recommended way. recommended way.
- Inside the template, use the ``|safe`` filter to explicitly mark a - Inside the template, use the ``|safe`` filter to explicitly mark a
@ -137,58 +137,32 @@ using in this block.
.. _registering-filters: .. _registering-filters:
Registering Filters, Tests, and Globals Registering Filters
--------------------------------------- -------------------
The Flask app and blueprints provide decorators and methods to register your own If you want to register your own filters in Jinja2 you have two ways to do
filters, tests, and global functions for use in Jinja templates. They all follow that. You can either put them by hand into the
the same pattern, so the following examples only discuss filters. :attr:`~flask.Flask.jinja_env` of the application or use the
:meth:`~flask.Flask.template_filter` decorator.
Decorate a function with :meth:`~.Flask.template_filter` to register it as a The two following examples work the same and both reverse an object::
template filter.
.. code-block:: python @app.template_filter('reverse')
def reverse_filter(s):
return s[::-1]
@app.template_filter def reverse_filter(s):
def reverse(s): return s[::-1]
return reversed(s) app.jinja_env.filters['reverse'] = reverse_filter
.. code-block:: jinja In case of the decorator the argument is optional if you want to use the
function name as name of the filter. Once registered, you can use the filter
in your templates in the same way as Jinja2's builtin filters, for example if
you have a Python list in context called `mylist`::
{% for item in data | reverse %} {% for x in mylist | reverse %}
{% endfor %} {% endfor %}
By default it will use the name of the function as the name of the filter, but
that can be changed by passing a name to the decorator.
.. code-block:: python
@app.template_filter("reverse")
def reverse_filter(s):
return reversed(s)
A filter can be registered separately using :meth:`~.Flask.add_template_filter`.
The name is optional and will use the function name if not given.
.. code-block:: python
def reverse_filter(s):
return reversed(s)
app.add_template_filter(reverse_filter, "reverse")
For template tests, use the :meth:`~.Flask.template_test` decorator or
:meth:`~.Flask.add_template_test` method. For template global functions, use the
:meth:`~.Flask.template_global` decorator or :meth:`~.Flask.add_template_global`
method.
The same methods also exist on :class:`.Blueprint`, prefixed with ``app_`` to
indicate that the registered functions will be available to all templates, not
only when rendering from within the blueprint.
The Jinja environment is also available as :attr:`~.Flask.jinja_env`. It may be
modified directly, as you would when using Jinja outside Flask.
Context Processors Context Processors
------------------ ------------------
@ -227,35 +201,3 @@ templates::
You could also build `format_price` as a template filter (see You could also build `format_price` as a template filter (see
:ref:`registering-filters`), but this demonstrates how to pass functions in a :ref:`registering-filters`), but this demonstrates how to pass functions in a
context processor. context processor.
Streaming
---------
It can be useful to not render the whole template as one complete
string, instead render it as a stream, yielding smaller incremental
strings. This can be used for streaming HTML in chunks to speed up
initial page load, or to save memory when rendering a very large
template.
The Jinja template engine supports rendering a template piece
by piece, returning an iterator of strings. Flask provides the
:func:`~flask.stream_template` and :func:`~flask.stream_template_string`
functions to make this easier to use.
.. code-block:: python
from flask import stream_template
@app.get("/timeline")
def timeline():
return stream_template("timeline.html")
These functions automatically apply the
:func:`~flask.stream_with_context` wrapper if a request is active, so that
:data:`.request`, :data:`.session`, and :data:`.g` remain available in the
template.
More headers cannot be sent after the body has begun. Therefore, you must
make sure all headers are set before starting the response. In particular,
if the template will access ``session``, be sure to do so in the view as
well so that the ``Vary: cookie`` header will be set.

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@ -1,318 +1,463 @@
Testing Flask Applications Testing Flask Applications
========================== ==========================
Flask provides utilities for testing an application. This documentation **Something that is untested is broken.**
goes over techniques for working with different parts of the application
in tests.
We will use the `pytest`_ framework to set up and run our tests. The origin of this quote is unknown and while it is not entirely correct, it
is also not far from the truth. Untested applications make it hard to
improve existing code and developers of untested applications tend to
become pretty paranoid. If an application has automated tests, you can
safely make changes and instantly know if anything breaks.
.. code-block:: text Flask provides a way to test your application by exposing the Werkzeug
test :class:`~werkzeug.test.Client` and handling the context locals for you.
You can then use that with your favourite testing solution.
In this documentation we will use the `pytest`_ package as the base
framework for our tests. You can install it with ``pip``, like so::
$ pip install pytest $ pip install pytest
.. _pytest: https://docs.pytest.org/ .. _pytest: https://docs.pytest.org/
The :doc:`tutorial </tutorial/index>` goes over how to write tests for The Application
100% coverage of the sample Flaskr blog application. See ---------------
:doc:`the tutorial on tests </tutorial/tests>` for a detailed
explanation of specific tests for an application.
First, we need an application to test; we will use the application from
the :doc:`tutorial/index`. If you don't have that application yet, get
the source code from :gh:`the examples <examples/tutorial>`.
Identifying Tests So that we can import the module ``flaskr`` correctly, we need to run
----------------- ``pip install -e .`` in the folder ``tutorial``.
Tests are typically located in the ``tests`` folder. Tests are functions The Testing Skeleton
that start with ``test_``, in Python modules that start with ``test_``. --------------------
Tests can also be further grouped in classes that start with ``Test``.
It can be difficult to know what to test. Generally, try to test the We begin by adding a tests directory under the application root. Then
code that you write, not the code of libraries that you use, since they create a Python file to store our tests (:file:`test_flaskr.py`). When we
are already tested. Try to extract complex behaviors as separate format the filename like ``test_*.py``, it will be auto-discoverable by
functions to test individually. pytest.
Next, we create a `pytest fixture`_ called
:func:`client` that configures
the application for testing and initializes a new database::
Fixtures import os
-------- import tempfile
Pytest *fixtures* allow writing pieces of code that are reusable across
tests. A simple fixture returns a value, but a fixture can also do
setup, yield a value, then do teardown. Fixtures for the application,
test client, and CLI runner are shown below, they can be placed in
``tests/conftest.py``.
If you're using an
:doc:`application factory </patterns/appfactories>`, define an ``app``
fixture to create and configure an app instance. You can add code before
and after the ``yield`` to set up and tear down other resources, such as
creating and clearing a database.
If you're not using a factory, you already have an app object you can
import and configure directly. You can still use an ``app`` fixture to
set up and tear down resources.
.. code-block:: python
import pytest import pytest
from my_project import create_app
@pytest.fixture() from flaskr import create_app
def app(): from flaskr.db import init_db
app = create_app()
app.config.update({
"TESTING": True, @pytest.fixture
def client():
db_fd, db_path = tempfile.mkstemp()
app = create_app({'TESTING': True, 'DATABASE': db_path})
with app.test_client() as client:
with app.app_context():
init_db()
yield client
os.close(db_fd)
os.unlink(db_path)
This client fixture will be called by each individual test. It gives us a
simple interface to the application, where we can trigger test requests to the
application. The client will also keep track of cookies for us.
During setup, the ``TESTING`` config flag is activated. What
this does is disable error catching during request handling, so that
you get better error reports when performing test requests against the
application.
Because SQLite3 is filesystem-based, we can easily use the
:mod:`tempfile` module to create a temporary database and initialize it.
The :func:`~tempfile.mkstemp` function does two things for us: it returns a
low-level file handle and a random file name, the latter we use as
database name. We just have to keep the `db_fd` around so that we can use
the :func:`os.close` function to close the file.
To delete the database after the test, the fixture closes the file and removes
it from the filesystem.
If we now run the test suite, we should see the following output::
$ pytest
================ test session starts ================
rootdir: ./flask/examples/flaskr, inifile: setup.cfg
collected 0 items
=========== no tests ran in 0.07 seconds ============
Even though it did not run any actual tests, we already know that our
``flaskr`` application is syntactically valid, otherwise the import
would have died with an exception.
.. _pytest fixture:
https://docs.pytest.org/en/latest/fixture.html
The First Test
--------------
Now it's time to start testing the functionality of the application.
Let's check that the application shows "No entries here so far" if we
access the root of the application (``/``). To do this, we add a new
test function to :file:`test_flaskr.py`, like this::
def test_empty_db(client):
"""Start with a blank database."""
rv = client.get('/')
assert b'No entries here so far' in rv.data
Notice that our test functions begin with the word `test`; this allows
`pytest`_ to automatically identify the function as a test to run.
By using ``client.get`` we can send an HTTP ``GET`` request to the
application with the given path. The return value will be a
:class:`~flask.Flask.response_class` object. We can now use the
:attr:`~werkzeug.wrappers.Response.data` attribute to inspect
the return value (as string) from the application.
In this case, we ensure that ``'No entries here so far'``
is part of the output.
Run it again and you should see one passing test::
$ pytest -v
================ test session starts ================
rootdir: ./flask/examples/flaskr, inifile: setup.cfg
collected 1 items
tests/test_flaskr.py::test_empty_db PASSED
============= 1 passed in 0.10 seconds ==============
Logging In and Out
------------------
The majority of the functionality of our application is only available for
the administrative user, so we need a way to log our test client in and out
of the application. To do this, we fire some requests to the login and logout
pages with the required form data (username and password). And because the
login and logout pages redirect, we tell the client to `follow_redirects`.
Add the following two functions to your :file:`test_flaskr.py` file::
def login(client, username, password):
return client.post('/login', data=dict(
username=username,
password=password
), follow_redirects=True)
def logout(client):
return client.get('/logout', follow_redirects=True)
Now we can easily test that logging in and out works and that it fails with
invalid credentials. Add this new test function::
def test_login_logout(client):
"""Make sure login and logout works."""
username = flaskr.app.config["USERNAME"]
password = flaskr.app.config["PASSWORD"]
rv = login(client, username, password)
assert b'You were logged in' in rv.data
rv = logout(client)
assert b'You were logged out' in rv.data
rv = login(client, f"{username}x", password)
assert b'Invalid username' in rv.data
rv = login(client, username, f'{password}x')
assert b'Invalid password' in rv.data
Test Adding Messages
--------------------
We should also test that adding messages works. Add a new test function
like this::
def test_messages(client):
"""Test that messages work."""
login(client, flaskr.app.config['USERNAME'], flaskr.app.config['PASSWORD'])
rv = client.post('/add', data=dict(
title='<Hello>',
text='<strong>HTML</strong> allowed here'
), follow_redirects=True)
assert b'No entries here so far' not in rv.data
assert b'&lt;Hello&gt;' in rv.data
assert b'<strong>HTML</strong> allowed here' in rv.data
Here we check that HTML is allowed in the text but not in the title,
which is the intended behavior.
Running that should now give us three passing tests::
$ pytest -v
================ test session starts ================
rootdir: ./flask/examples/flaskr, inifile: setup.cfg
collected 3 items
tests/test_flaskr.py::test_empty_db PASSED
tests/test_flaskr.py::test_login_logout PASSED
tests/test_flaskr.py::test_messages PASSED
============= 3 passed in 0.23 seconds ==============
Other Testing Tricks
--------------------
Besides using the test client as shown above, there is also the
:meth:`~flask.Flask.test_request_context` method that can be used
in combination with the ``with`` statement to activate a request context
temporarily. With this you can access the :class:`~flask.request`,
:class:`~flask.g` and :class:`~flask.session` objects like in view
functions. Here is a full example that demonstrates this approach::
from flask import Flask, request
app = Flask(__name__)
with app.test_request_context('/?name=Peter'):
assert request.path == '/'
assert request.args['name'] == 'Peter'
All the other objects that are context bound can be used in the same
way.
If you want to test your application with different configurations and
there does not seem to be a good way to do that, consider switching to
application factories (see :doc:`patterns/appfactories`).
Note however that if you are using a test request context, the
:meth:`~flask.Flask.before_request` and :meth:`~flask.Flask.after_request`
functions are not called automatically. However
:meth:`~flask.Flask.teardown_request` functions are indeed executed when
the test request context leaves the ``with`` block. If you do want the
:meth:`~flask.Flask.before_request` functions to be called as well, you
need to call :meth:`~flask.Flask.preprocess_request` yourself::
app = Flask(__name__)
with app.test_request_context('/?name=Peter'):
app.preprocess_request()
...
This can be necessary to open database connections or something similar
depending on how your application was designed.
If you want to call the :meth:`~flask.Flask.after_request` functions you
need to call into :meth:`~flask.Flask.process_response` which however
requires that you pass it a response object::
app = Flask(__name__)
with app.test_request_context('/?name=Peter'):
resp = Response('...')
resp = app.process_response(resp)
...
This in general is less useful because at that point you can directly
start using the test client.
.. _faking-resources:
Faking Resources and Context
----------------------------
.. versionadded:: 0.10
A very common pattern is to store user authorization information and
database connections on the application context or the :attr:`flask.g`
object. The general pattern for this is to put the object on there on
first usage and then to remove it on a teardown. Imagine for instance
this code to get the current user::
def get_user():
user = getattr(g, 'user', None)
if user is None:
user = fetch_current_user_from_database()
g.user = user
return user
For a test it would be nice to override this user from the outside without
having to change some code. This can be accomplished with
hooking the :data:`flask.appcontext_pushed` signal::
from contextlib import contextmanager
from flask import appcontext_pushed, g
@contextmanager
def user_set(app, user):
def handler(sender, **kwargs):
g.user = user
with appcontext_pushed.connected_to(handler, app):
yield
And then to use it::
from flask import json, jsonify
@app.route('/users/me')
def users_me():
return jsonify(username=g.user.username)
with user_set(app, my_user):
with app.test_client() as c:
resp = c.get('/users/me')
data = json.loads(resp.data)
assert data['username'] == my_user.username
Keeping the Context Around
--------------------------
.. versionadded:: 0.4
Sometimes it is helpful to trigger a regular request but still keep the
context around for a little longer so that additional introspection can
happen. With Flask 0.4 this is possible by using the
:meth:`~flask.Flask.test_client` with a ``with`` block::
app = Flask(__name__)
with app.test_client() as c:
rv = c.get('/?tequila=42')
assert request.args['tequila'] == '42'
If you were to use just the :meth:`~flask.Flask.test_client` without
the ``with`` block, the ``assert`` would fail with an error because `request`
is no longer available (because you are trying to use it
outside of the actual request).
Accessing and Modifying Sessions
--------------------------------
.. versionadded:: 0.8
Sometimes it can be very helpful to access or modify the sessions from the
test client. Generally there are two ways for this. If you just want to
ensure that a session has certain keys set to certain values you can just
keep the context around and access :data:`flask.session`::
with app.test_client() as c:
rv = c.get('/')
assert session['foo'] == 42
This however does not make it possible to also modify the session or to
access the session before a request was fired. Starting with Flask 0.8 we
provide a so called “session transaction” which simulates the appropriate
calls to open a session in the context of the test client and to modify
it. At the end of the transaction the session is stored and ready to be
used by the test client. This works independently of the session backend used::
with app.test_client() as c:
with c.session_transaction() as sess:
sess['a_key'] = 'a value'
# once this is reached the session was stored and ready to be used by the client
c.get(...)
Note that in this case you have to use the ``sess`` object instead of the
:data:`flask.session` proxy. The object however itself will provide the
same interface.
Testing JSON APIs
-----------------
.. versionadded:: 1.0
Flask has great support for JSON, and is a popular choice for building JSON
APIs. Making requests with JSON data and examining JSON data in responses is
very convenient::
from flask import request, jsonify
@app.route('/api/auth')
def auth():
json_data = request.get_json()
email = json_data['email']
password = json_data['password']
return jsonify(token=generate_token(email, password))
with app.test_client() as c:
rv = c.post('/api/auth', json={
'email': 'flask@example.com', 'password': 'secret'
}) })
json_data = rv.get_json()
assert verify_token(email, json_data['token'])
# other setup can go here Passing the ``json`` argument in the test client methods sets the request data
to the JSON-serialized object and sets the content type to
yield app ``application/json``. You can get the JSON data from the request or response
with ``get_json``.
# clean up / reset resources here
@pytest.fixture()
def client(app):
return app.test_client()
@pytest.fixture()
def runner(app):
return app.test_cli_runner()
Sending Requests with the Test Client
-------------------------------------
The test client makes requests to the application without running a live
server. Flask's client extends
:doc:`Werkzeug's client <werkzeug:test>`, see those docs for additional
information.
The ``client`` has methods that match the common HTTP request methods,
such as ``client.get()`` and ``client.post()``. They take many arguments
for building the request; you can find the full documentation in
:class:`~werkzeug.test.EnvironBuilder`. Typically you'll use ``path``,
``query_string``, ``headers``, and ``data`` or ``json``.
To make a request, call the method the request should use with the path
to the route to test. A :class:`~werkzeug.test.TestResponse` is returned
to examine the response data. It has all the usual properties of a
response object. You'll usually look at ``response.data``, which is the
bytes returned by the view. If you want to use text, Werkzeug 2.1
provides ``response.text``, or use ``response.get_data(as_text=True)``.
.. code-block:: python
def test_request_example(client):
response = client.get("/posts")
assert b"<h2>Hello, World!</h2>" in response.data
Pass a dict ``query_string={"key": "value", ...}`` to set arguments in
the query string (after the ``?`` in the URL). Pass a dict
``headers={}`` to set request headers.
To send a request body in a POST or PUT request, pass a value to
``data``. If raw bytes are passed, that exact body is used. Usually,
you'll pass a dict to set form data.
Form Data
~~~~~~~~~
To send form data, pass a dict to ``data``. The ``Content-Type`` header
will be set to ``multipart/form-data`` or
``application/x-www-form-urlencoded`` automatically.
If a value is a file object opened for reading bytes (``"rb"`` mode), it
will be treated as an uploaded file. To change the detected filename and
content type, pass a ``(file, filename, content_type)`` tuple. File
objects will be closed after making the request, so they do not need to
use the usual ``with open() as f:`` pattern.
It can be useful to store files in a ``tests/resources`` folder, then
use ``pathlib.Path`` to get files relative to the current test file.
.. code-block:: python
from pathlib import Path
# get the resources folder in the tests folder
resources = Path(__file__).parent / "resources"
def test_edit_user(client):
response = client.post("/user/2/edit", data={
"name": "Flask",
"theme": "dark",
"picture": (resources / "picture.png").open("rb"),
})
assert response.status_code == 200
JSON Data
~~~~~~~~~
To send JSON data, pass an object to ``json``. The ``Content-Type``
header will be set to ``application/json`` automatically.
Similarly, if the response contains JSON data, the ``response.json``
attribute will contain the deserialized object.
.. code-block:: python
def test_json_data(client):
response = client.post("/graphql", json={
"query": """
query User($id: String!) {
user(id: $id) {
name
theme
picture_url
}
}
""",
variables={"id": 2},
})
assert response.json["data"]["user"]["name"] == "Flask"
Following Redirects
-------------------
By default, the client does not make additional requests if the response
is a redirect. By passing ``follow_redirects=True`` to a request method,
the client will continue to make requests until a non-redirect response
is returned.
:attr:`TestResponse.history <werkzeug.test.TestResponse.history>` is
a tuple of the responses that led up to the final response. Each
response has a :attr:`~werkzeug.test.TestResponse.request` attribute
which records the request that produced that response.
.. code-block:: python
def test_logout_redirect(client):
response = client.get("/logout", follow_redirects=True)
# Check that there was one redirect response.
assert len(response.history) == 1
# Check that the second request was to the index page.
assert response.request.path == "/index"
Accessing and Modifying the Session
-----------------------------------
To access Flask's context variables, mainly
:data:`~flask.session`, use the client in a ``with`` statement.
The app and request context will remain active *after* making a request,
until the ``with`` block ends.
.. code-block:: python
from flask import session
def test_access_session(client):
with client:
client.post("/auth/login", data={"username": "flask"})
# session is still accessible
assert session["user_id"] == 1
# session is no longer accessible
If you want to access or set a value in the session *before* making a
request, use the client's
:meth:`~flask.testing.FlaskClient.session_transaction` method in a
``with`` statement. It returns a session object, and will save the
session once the block ends.
.. code-block:: python
from flask import session
def test_modify_session(client):
with client.session_transaction() as session:
# set a user id without going through the login route
session["user_id"] = 1
# session is saved now
response = client.get("/users/me")
assert response.json["username"] == "flask"
.. _testing-cli: .. _testing-cli:
Running Commands with the CLI Runner Testing CLI Commands
------------------------------------ --------------------
Click comes with `utilities for testing`_ your CLI commands. A
:class:`~click.testing.CliRunner` runs commands in isolation and
captures the output in a :class:`~click.testing.Result` object.
Flask provides :meth:`~flask.Flask.test_cli_runner` to create a Flask provides :meth:`~flask.Flask.test_cli_runner` to create a
:class:`~flask.testing.FlaskCliRunner`, which runs CLI commands in :class:`~flask.testing.FlaskCliRunner` that passes the Flask app to the
isolation and captures the output in a :class:`~click.testing.Result` CLI automatically. Use its :meth:`~flask.testing.FlaskCliRunner.invoke`
object. Flask's runner extends :doc:`Click's runner <click:testing>`, method to call commands in the same way they would be called from the
see those docs for additional information. command line. ::
Use the runner's :meth:`~flask.testing.FlaskCliRunner.invoke` method to
call commands in the same way they would be called with the ``flask``
command from the command line.
.. code-block:: python
import click import click
@app.cli.command("hello") @app.cli.command('hello')
@click.option("--name", default="World") @click.option('--name', default='World')
def hello_command(name): def hello_command(name):
click.echo(f"Hello, {name}!") click.echo(f'Hello, {name}!')
def test_hello_command(runner): def test_hello():
result = runner.invoke(args="hello") runner = app.test_cli_runner()
assert "World" in result.output
result = runner.invoke(args=["hello", "--name", "Flask"]) # invoke the command directly
assert "Flask" in result.output result = runner.invoke(hello_command, ['--name', 'Flask'])
assert 'Hello, Flask' in result.output
# or by name
result = runner.invoke(args=['hello'])
assert 'World' in result.output
Tests that depend on an Active Context In the example above, invoking the command by name is useful because it
-------------------------------------- verifies that the command was correctly registered with the app.
You may have functions that are called from views or commands, that expect an If you want to test how your command parses parameters, without running
active :doc:`app context </appcontext>` because they access :data:`.request`, the command, use its :meth:`~click.BaseCommand.make_context` method.
:data:`.session`, :data:`.g`, or :data:`.current_app`. Rather than testing them by This is useful for testing complex validation rules and custom types. ::
making a request or invoking the command, you can create and activate a context
directly.
Use ``with app.app_context()`` to push an application context. For def upper(ctx, param, value):
example, database extensions usually require an active app context to if value is not None:
make queries. return value.upper()
.. code-block:: python @app.cli.command('hello')
@click.option('--name', default='World', callback=upper)
def hello_command(name):
click.echo(f'Hello, {name}!')
def test_db_post_model(app): def test_hello_params():
with app.app_context(): context = hello_command.make_context('hello', ['--name', 'flask'])
post = db.session.query(Post).get(1) assert context.params['name'] == 'FLASK'
Use ``with app.test_request_context()`` to push a request context. It .. _click: https://click.palletsprojects.com/
takes the same arguments as the test client's request methods. .. _utilities for testing: https://click.palletsprojects.com/testing/
.. code-block:: python
def test_validate_user_edit(app):
with app.test_request_context(
"/user/2/edit", method="POST", data={"name": ""}
):
# call a function that accesses `request`
messages = validate_edit_user()
assert messages["name"][0] == "Name cannot be empty."
Creating a test request context doesn't run any of the Flask dispatching
code, so ``before_request`` functions are not called. If you need to
call these, usually it's better to make a full request instead. However,
it's possible to call them manually.
.. code-block:: python
def test_auth_token(app):
with app.test_request_context("/user/2/edit", headers={"X-Auth-Token": "1"}):
app.preprocess_request()
assert g.user.name == "Flask"

View file

@ -305,7 +305,7 @@ The pattern ``{{ request.form['title'] or post['title'] }}`` is used to
choose what data appears in the form. When the form hasn't been choose what data appears in the form. When the form hasn't been
submitted, the original ``post`` data appears, but if invalid form data submitted, the original ``post`` data appears, but if invalid form data
was posted you want to display that so the user can fix the error, so was posted you want to display that so the user can fix the error, so
``request.form`` is used instead. :data:`.request` is another variable ``request.form`` is used instead. :data:`request` is another variable
that's automatically available in templates. that's automatically available in templates.

View file

@ -37,10 +37,10 @@ response is sent.
:caption: ``flaskr/db.py`` :caption: ``flaskr/db.py``
import sqlite3 import sqlite3
from datetime import datetime
import click import click
from flask import current_app, g from flask import current_app, g
from flask.cli import with_appcontext
def get_db(): def get_db():
@ -60,17 +60,17 @@ response is sent.
if db is not None: if db is not None:
db.close() db.close()
:data:`.g` is a special object that is unique for each request. It is :data:`g` is a special object that is unique for each request. It is
used to store data that might be accessed by multiple functions during used to store data that might be accessed by multiple functions during
the request. The connection is stored and reused instead of creating a the request. The connection is stored and reused instead of creating a
new connection if ``get_db`` is called a second time in the same new connection if ``get_db`` is called a second time in the same
request. request.
:data:`.current_app` is another special object that points to the Flask :data:`current_app` is another special object that points to the Flask
application handling the request. Since you used an application factory, application handling the request. Since you used an application factory,
there is no application object when writing the rest of your code. there is no application object when writing the rest of your code.
``get_db`` will be called when the application has been created and is ``get_db`` will be called when the application has been created and is
handling a request, so :data:`.current_app` can be used. handling a request, so :data:`current_app` can be used.
:func:`sqlite3.connect` establishes a connection to the file pointed at :func:`sqlite3.connect` establishes a connection to the file pointed at
by the ``DATABASE`` configuration key. This file doesn't have to exist by the ``DATABASE`` configuration key. This file doesn't have to exist
@ -128,16 +128,12 @@ Add the Python functions that will run these SQL commands to the
@click.command('init-db') @click.command('init-db')
@with_appcontext
def init_db_command(): def init_db_command():
"""Clear the existing data and create new tables.""" """Clear the existing data and create new tables."""
init_db() init_db()
click.echo('Initialized the database.') click.echo('Initialized the database.')
sqlite3.register_converter(
"timestamp", lambda v: datetime.fromisoformat(v.decode())
)
:meth:`open_resource() <Flask.open_resource>` opens a file relative to :meth:`open_resource() <Flask.open_resource>` opens a file relative to
the ``flaskr`` package, which is useful since you won't necessarily know the ``flaskr`` package, which is useful since you won't necessarily know
where that location is when deploying the application later. ``get_db`` where that location is when deploying the application later. ``get_db``
@ -148,10 +144,6 @@ read from the file.
that calls the ``init_db`` function and shows a success message to the that calls the ``init_db`` function and shows a success message to the
user. You can read :doc:`/cli` to learn more about writing commands. user. You can read :doc:`/cli` to learn more about writing commands.
The call to :func:`sqlite3.register_converter` tells Python how to
interpret timestamp values in the database. We convert the value to a
:class:`datetime.datetime`.
Register with the Application Register with the Application
----------------------------- -----------------------------
@ -204,13 +196,15 @@ previous page.
If you're still running the server from the previous page, you can If you're still running the server from the previous page, you can
either stop the server, or run this command in a new terminal. If either stop the server, or run this command in a new terminal. If
you use a new terminal, remember to change to your project directory you use a new terminal, remember to change to your project directory
and activate the env as described in :doc:`/installation`. and activate the env as described in :doc:`/installation`. You'll
also need to set ``FLASK_APP`` and ``FLASK_ENV`` as shown on the
previous page.
Run the ``init-db`` command: Run the ``init-db`` command:
.. code-block:: none .. code-block:: none
$ flask --app flaskr init-db $ flask init-db
Initialized the database. Initialized the database.
There will now be a ``flaskr.sqlite`` file in the ``instance`` folder in There will now be a ``flaskr.sqlite`` file in the ``instance`` folder in

View file

@ -14,13 +14,22 @@ application.
Build and Install Build and Install
----------------- -----------------
When you want to deploy your application elsewhere, you build a *wheel* When you want to deploy your application elsewhere, you build a
(``.whl``) file. Install and use the ``build`` tool to do this. distribution file. The current standard for Python distribution is the
*wheel* format, with the ``.whl`` extension. Make sure the wheel library
is installed first:
.. code-block:: none .. code-block:: none
$ pip install build $ pip install wheel
$ python -m build --wheel
Running ``setup.py`` with Python gives you a command line tool to issue
build-related commands. The ``bdist_wheel`` command will build a wheel
distribution file.
.. code-block:: none
$ python setup.py bdist_wheel
You can find the file in ``dist/flaskr-1.0.0-py3-none-any.whl``. The You can find the file in ``dist/flaskr-1.0.0-py3-none-any.whl``. The
file name is in the format of {project name}-{version}-{python tag} file name is in the format of {project name}-{version}-{python tag}
@ -39,13 +48,32 @@ Pip will install your project along with its dependencies.
Since this is a different machine, you need to run ``init-db`` again to Since this is a different machine, you need to run ``init-db`` again to
create the database in the instance folder. create the database in the instance folder.
.. code-block:: text .. tabs::
$ flask --app flaskr init-db .. group-tab:: Bash
.. code-block:: text
$ export FLASK_APP=flaskr
$ flask init-db
.. group-tab:: CMD
.. code-block:: text
> set FLASK_APP=flaskr
> flask init-db
.. group-tab:: Powershell
.. code-block:: text
> $env:FLASK_APP = "flaskr"
> flask init-db
When Flask detects that it's installed (not in editable mode), it uses When Flask detects that it's installed (not in editable mode), it uses
a different directory for the instance folder. You can find it at a different directory for the instance folder. You can find it at
``.venv/var/flaskr-instance`` instead. ``venv/var/flaskr-instance`` instead.
Configure the Secret Key Configure the Secret Key
@ -60,17 +88,17 @@ You can use the following command to output a random secret key:
.. code-block:: none .. code-block:: none
$ python -c 'import secrets; print(secrets.token_hex())' $ python -c 'import os; print(os.urandom(16))'
'192b9bdd22ab9ed4d12e236c78afcb9a393ec15f71bbf5dc987d54727823bcbf' b'_5#y2L"F4Q8z\n\xec]/'
Create the ``config.py`` file in the instance folder, which the factory Create the ``config.py`` file in the instance folder, which the factory
will read from if it exists. Copy the generated value into it. will read from if it exists. Copy the generated value into it.
.. code-block:: python .. code-block:: python
:caption: ``.venv/var/flaskr-instance/config.py`` :caption: ``venv/var/flaskr-instance/config.py``
SECRET_KEY = '192b9bdd22ab9ed4d12e236c78afcb9a393ec15f71bbf5dc987d54727823bcbf' SECRET_KEY = b'_5#y2L"F4Q8z\n\xec]/'
You can also set any other necessary configuration here, although You can also set any other necessary configuration here, although
``SECRET_KEY`` is the only one needed for Flaskr. ``SECRET_KEY`` is the only one needed for Flaskr.
@ -92,7 +120,7 @@ first install it in the virtual environment:
$ pip install waitress $ pip install waitress
You need to tell Waitress about your application, but it doesn't use You need to tell Waitress about your application, but it doesn't use
``--app`` like ``flask run`` does. You need to tell it to import and ``FLASK_APP`` like ``flask run`` does. You need to tell it to import and
call the application factory to get an application object. call the application factory to get an application object.
.. code-block:: none .. code-block:: none

View file

@ -56,7 +56,10 @@ directory should be treated as a package.
app.config.from_mapping(test_config) app.config.from_mapping(test_config)
# ensure the instance folder exists # ensure the instance folder exists
os.makedirs(app.instance_path, exist_ok=True) try:
os.makedirs(app.instance_path)
except OSError:
pass
# a simple page that says hello # a simple page that says hello
@app.route('/hello') @app.route('/hello')
@ -124,36 +127,54 @@ Run The Application
Now you can run your application using the ``flask`` command. From the Now you can run your application using the ``flask`` command. From the
terminal, tell Flask where to find your application, then run it in terminal, tell Flask where to find your application, then run it in
debug mode. Remember, you should still be in the top-level development mode. Remember, you should still be in the top-level
``flask-tutorial`` directory, not the ``flaskr`` package. ``flask-tutorial`` directory, not the ``flaskr`` package.
Debug mode shows an interactive debugger whenever a page raises an Development mode shows an interactive debugger whenever a page raises an
exception, and restarts the server whenever you make changes to the exception, and restarts the server whenever you make changes to the
code. You can leave it running and just reload the browser page as you code. You can leave it running and just reload the browser page as you
follow the tutorial. follow the tutorial.
.. code-block:: text .. tabs::
$ flask --app flaskr run --debug .. group-tab:: Bash
.. code-block:: text
$ export FLASK_APP=flaskr
$ export FLASK_ENV=development
$ flask run
.. group-tab:: CMD
.. code-block:: text
> set FLASK_APP=flaskr
> set FLASK_ENV=development
> flask run
.. group-tab:: Powershell
.. code-block:: text
> $env:FLASK_APP = "flaskr"
> $env:FLASK_ENV = "development"
> flask run
You'll see output similar to this: You'll see output similar to this:
.. code-block:: text .. code-block:: none
* Serving Flask app "flaskr" * Serving Flask app "flaskr"
* Environment: development
* Debug mode: on * Debug mode: on
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit) * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
* Restarting with stat * Restarting with stat
* Debugger is active! * Debugger is active!
* Debugger PIN: nnn-nnn-nnn * Debugger PIN: 855-212-761
Visit http://127.0.0.1:5000/hello in a browser and you should see the Visit http://127.0.0.1:5000/hello in a browser and you should see the
"Hello, World!" message. Congratulations, you're now running your Flask "Hello, World!" message. Congratulations, you're now running your Flask
web application! web application!
If another program is already using port 5000, you'll see
``OSError: [Errno 98]`` or ``OSError: [WinError 10013]`` when the
server tries to start. See :ref:`address-already-in-use` for how to
handle that.
Continue to :doc:`database`. Continue to :doc:`database`.

View file

@ -1,10 +1,11 @@
Make the Project Installable Make the Project Installable
============================ ============================
Making your project installable means that you can build a *wheel* file and install that Making your project installable means that you can build a
in another environment, just like you installed Flask in your project's environment. *distribution* file and install that in another environment, just like
This makes deploying your project the same as installing any other library, so you're you installed Flask in your project's environment. This makes deploying
using all the standard Python tools to manage everything. your project the same as installing any other library, so you're using
all the standard Python tools to manage everything.
Installing also comes with other benefits that might not be obvious from Installing also comes with other benefits that might not be obvious from
the tutorial or as a new Python user, including: the tutorial or as a new Python user, including:
@ -27,27 +28,49 @@ the tutorial or as a new Python user, including:
Describe the Project Describe the Project
-------------------- --------------------
The ``pyproject.toml`` file describes your project and how to build it. The ``setup.py`` file describes your project and the files that belong
to it.
.. code-block:: toml .. code-block:: python
:caption: ``pyproject.toml`` :caption: ``setup.py``
[project] from setuptools import find_packages, setup
name = "flaskr"
version = "1.0.0"
description = "The basic blog app built in the Flask tutorial."
dependencies = [
"flask",
]
[build-system] setup(
requires = ["flit_core<4"] name='flaskr',
build-backend = "flit_core.buildapi" version='1.0.0',
packages=find_packages(),
include_package_data=True,
zip_safe=False,
install_requires=[
'flask',
],
)
See the official `Packaging tutorial <packaging tutorial_>`_ for more
explanation of the files and options used.
.. _packaging tutorial: https://packaging.python.org/tutorials/packaging-projects/ ``packages`` tells Python what package directories (and the Python files
they contain) to include. ``find_packages()`` finds these directories
automatically so you don't have to type them out. To include other
files, such as the static and templates directories,
``include_package_data`` is set. Python needs another file named
``MANIFEST.in`` to tell what this other data is.
.. code-block:: none
:caption: ``MANIFEST.in``
include flaskr/schema.sql
graft flaskr/static
graft flaskr/templates
global-exclude *.pyc
This tells Python to copy everything in the ``static`` and ``templates``
directories, and the ``schema.sql`` file, but to exclude all bytecode
files.
See the `official packaging guide`_ for another explanation of the files
and options used.
.. _official packaging guide: https://packaging.python.org/tutorials/packaging-projects/
Install the Project Install the Project
@ -59,10 +82,10 @@ Use ``pip`` to install your project in the virtual environment.
$ pip install -e . $ pip install -e .
This tells pip to find ``pyproject.toml`` in the current directory and install the This tells pip to find ``setup.py`` in the current directory and install
project in *editable* or *development* mode. Editable mode means that as you make it in *editable* or *development* mode. Editable mode means that as you
changes to your local code, you'll only need to re-install if you change the metadata make changes to your local code, you'll only need to re-install if you
about the project, such as its dependencies. change the metadata about the project, such as its dependencies.
You can observe that the project is now installed with ``pip list``. You can observe that the project is now installed with ``pip list``.
@ -79,10 +102,12 @@ You can observe that the project is now installed with ``pip list``.
Jinja2 2.10 Jinja2 2.10
MarkupSafe 1.0 MarkupSafe 1.0
pip 9.0.3 pip 9.0.3
setuptools 39.0.1
Werkzeug 0.14.1 Werkzeug 0.14.1
wheel 0.30.0
Nothing changes from how you've been running your project so far. Nothing changes from how you've been running your project so far.
``--app`` is still set to ``flaskr`` and ``flask run`` still runs ``FLASK_APP`` is still set to ``flaskr`` and ``flask run`` still runs
the application, but you can call it from anywhere, not just the the application, but you can call it from anywhere, not just the
``flask-tutorial`` directory. ``flask-tutorial`` directory.

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