flask-reverse-proxy-fix 0.2.1

Python Flask middleware for applications running under a reverse proxy

Flask Reverse Proxy Middleware

Python Flask middleware for applications running under a reverse proxy.

Purpose

Currently this middleware supports correcting URLs generated by Flask.url_for() where a common prefix needs to be added to all URLs.

For example: If client requests for an application are reverse proxied such that: example.com/some-service/v1/foo becomes some-service-v1.internal/foo, where /foo is a route within a Flask application foo().

Without this middleware, a call to Flask.url_for('.foo') would give: /foo. If returned to the client, as a self link for example, this would cause a request to example.com/foo, which would be invalid as the /some-service/v1 prefix is missing.

With this middleware, a call to Flask.url_for('.foo') would give: '/some-service/v1/foo', which will work if used by a client.

This middleware is compatible with both relative and absolute URLs (i.e. Flask.url_for('.foo') and Flask.url_for('.foo', _external=True).

This middleware incorporates the werkzeug.contrib.fixers.ProxyFix and based on the Fixing SCRIPT_NAME/url_scheme when behind reverse proxy Flask snippet.

Installation

This package can be installed using Pip from PyPi:

$ pip install flask-reverse-proxy-fix

Usage

This middleware requires one parameter, a Flask config option, REVERSE_PROXY_PATH_PREFIX, for the path prefix value.

Note: The prefix value SHOULD include a preceding slash, it SHOULD NOT include a trailing slash (i.e. use /foo not /foo/).

A minimal application would look like this:

from flask import Flask, url_for
from flask_reverse_proxy_fix.middleware import ReverseProxyPrefixFix

app = Flask(__name__)

app.config['REVERSE_PROXY_PATH'] = '/foo'
ReverseProxyPrefixFix(app)

@app.route('/')
def hello_world():
    return url_for('.hello_world')

Developing

A docker container ran through Docker Compose is used as a development environment for this project defined . It includes development only dependencies listed in requirements.txt, a local Flask application in app.py and Integration tests.

Ensure classes and methods are defined within the flask_reverse_proxy_fix package.

Ensure Integration tests are written for any new feature, or changes to existing features.

If you have access to the BAS GitLab instance, pull the Docker image from the BAS Docker Registry:

$ docker login docker-registry.data.bas.ac.uk
$ docker-compose pull

# To run the local Flask application using the Flask development server
$ docker-compose up

# To start a shell
$ docker-compose run app ash

Code Style

PEP-8 style and formatting guidelines must be used for this project, with the exception of the 80 character line limit.

Flake8 is used to ensure compliance, and is ran on each commit through Continuous Integration.

To check compliance locally:

$ docker-compose run app flake8 . --ignore=E501

Dependencies

Development Python dependencies should be declared in requirements.txt to be included in the development environment.

Runtime Python dependencies should be declared in requirements.txt and setup.py to also be installed as dependencies of this package in other applications.

All dependencies should be periodically reviewed and update as new versions are released.

$ docker-compose run app ash
$ pip install [dependency]==
# this will display a list of available versions, add the latest to `requirements.txt` and or `setup.py`
$ exit
$ docker-compose down
$ docker-compose build

If you have access to the BAS GitLab instance, push the Docker image to the BAS Docker Registry:

$ docker login docker-registry.data.bas.ac.uk
$ docker-compose push

Dependency vulnerability scanning

To ensure the security of this API, all dependencies are checked against Snyk for vulnerabilities.

Warning: Snyk relies on known vulnerabilities and can't check for issues that are not in it's database. As with all security tools, Snyk is an aid for spotting common mistakes, not a guarantee of secure code.

Some vulnerabilities have been ignored in this project, see .snyk for definitions and the Dependency exceptions section for more information.

Through Continuous Integration, on each commit current dependencies are tested and a snapshot uploaded to Snyk. This snapshot is then monitored for vulnerabilities.

Dependency vulnerability exceptions

This project contains known vulnerabilities that have been ignored for a specific reason.

• Py-Yaml yaml.load() function allows Arbitrary Code Execution
  • currently no known or planned resolution
  • indirect dependency, required through the bandit package
  • severity is rated high
  • risk judged to be low as we don't use the Yaml module in this application
  • ignored for 1 year for re-review

Static security scanning

To ensure the security of this API, source code is checked against Bandit for issues such as not sanitising user inputs or using weak cryptography.

Warning: Bandit is a static analysis tool and can't check for issues that are only be detectable when running the application. As with all security tools, Bandit is an aid for spotting common mistakes, not a guarantee of secure code.

Through Continuous Integration, each commit is tested.

To check locally:

$ docker-compose run app bandit -r .

Testing

Integration tests

This project uses integration tests to ensure features work as expected and to guard against regressions and vulnerabilities.

The Python UnitTest library is used for running tests using Flask's test framework. Test cases are defined in files within tests/ and are automatically loaded when using the test Flask CLI command included in the local Flask application in the development environment.

Tests are automatically ran on each commit through Continuous Integration.

To run tests manually:

$ docker-compose run -e FLASK_ENV=testing app flask test

To run tests using PyCharm:

• Run -> Edit Configurations
• Add New Configuration -> Python Tests -> Unittests

In Configuration tab:

• Script path: [absolute path to project]/tests
• Python interpreter: Project interpreter (app service in project Docker Compose)
• Working directory: [absolute path to project]
• Path mappings: [absolute path to project]=/usr/src/app

Note: This configuration can be also be used to debug tests (by choosing debug instead of run).

Continuous Integration

All commits will trigger a Continuous Integration process using GitLab's CI/CD platform, configured in .gitlab-ci.yml.

This process will run the application Integration tests.

Pip dependencies are also checked and monitored for vulnerabilities.

Distribution

Both source and binary versions of the package are build using SetupTools, which can then be published to the Python package index for use in other applications. Package settings are defined in setup.py.

This project is built and published to PyPi automatically through Continuous Deployment.

To build the source and binary artefacts for this project manually:

$ docker-compose run app ash
# build package to /build, /dist and /flask_reverse_proxy_fix.egg-info
$ python setup.py sdist bdist_wheel
$ exit
$ docker-compose down

To publish built artefacts for this project manually to PyPi testing:

$ docker-compose run app ash
$ python -m twine upload --repository-url https://test.pypi.org/legacy/ dist/*
# project then available at: https://test.pypi.org/project/flask-reverse-proxy-fix/
$ exit
$ docker-compose down

To publish manually to PyPi:

$ docker-compose run app ash
$ python -m twine upload --repository-url https://pypi.org/legacy/ dist/*
# project then available at: https://pypi.org/project/flask-reverse-proxy-fix/
$ exit
$ docker-compose down

Continuous Deployment

A Continuous Deployment process using GitLab's CI/CD platform is configured in .gitlab-ci.yml. This will:

• build the source and binary artefacts for this project
• publish built artefacts for this project to the relevant PyPi repository

This process will deploy changes to PyPi testing on all commits to the master branch.

This process will deploy changes to PyPi on all tagged commits.

Release procedure

At release

1. create a release branch
2. remove .dev{ os.getenv('CI_PIPELINE_ID') or None } from the version parameter in setup.py and ensure version is bumped as per semver
3. close release in CHANGELOG.md
4. push changes, merge the release branch into master and tag with version

The project will be built and published to PyPi automatically through Continuous Deployment.

After release

1. create a next-release branch
2. bump the version parameter in setup.py and append .dev{ os.getenv('CI_PIPELINE_ID') or None } to signify a
   pre-release
3. push changes and merge the next-release branch into master

Feedback

The maintainer of this project is the BAS Web & Applications Team, they can be contacted at: [e-mail].

Issue tracking

This project uses issue tracking, see the Issue tracker for more information.

Note: Read & write access to this issue tracker is restricted. Contact the project maintainer to request access.

License

© UK Research and Innovation (UKRI), 2019, British Antarctic Survey.

You may use and re-use this software and associated documentation files free of charge in any format or medium, under the terms of the Open Government Licence v3.0.

You may obtain a copy of the Open Government Licence at http://www.nationalarchives.gov.uk/doc/open-government-licence/