They are now the default and cause a warning:
WARNING: --use-feature=2020-resolver no longer has any effect, since it is now the default dependency resolver in pip. This will become an error in pip 21.0.
If the domain_name entered contains subdomains, e.g. `api.example.com`
then do *not* add an additional `www.api.example.com` route to traefik
If the user enters only the domain `example.com` then add the optional
`www.example.com` Host to the traefik routers.
Using system Python 3 distribution (3.7.3) in order to allow the use of Debian packages for numpy, scipy, etc. without the need of building them or installing build dependencies.
Changed `#!/bin/sh` in shell scripts to `#!/bin/bash` to make `set -o pipefail` work.
- Change celery app to not be a Django app, more like a WSGI app
- Define a Celery task in the Django users app
- Write a test to execute the task
- Update scripts to use the new app to start workers
- Update documentation
Fix#865
## Description
Following up on @webyneter attempt in #1205, which is now getting outdated, I've tried to make Gulp task runner work with Docker. There is no documentation yet, but this seems to work locally with the custom bootstrap compilation...
- [x] Add a node image for local developement
- [x] Proxy the django image rather than localhost in Browser sync, pass header to keep hostname
- [x] Don't call the runserver command from Gulp, let docker-compose handle
- [x] Update package.json & gulpfile.js templates to reduce the number of unwanted empty lines
- [x] Use [multi-stage build](https://docs.docker.com/develop/develop-images/multistage-build/) in production to make sure the static assets are produced
- [x] Update documentation
- [x] Verify that the previous issue with static assets missing from production isn't there
## Rationale
Currently, the static build isn't working nicely with Docker, extra manual setup is required.
Fixes#1762
## Description
Replace Caddy with Traefik
## Rationale
There is some trouble with the Caddy license (https://github.com/pydanny/cookiecutter-django/pull/1282#issuecomment-329617536)
@drdaeman suggested using Traefik (https://github.com/pydanny/cookiecutter-django/pull/1282#issuecomment-353655273) which supports ACME and also plays very nice with Docker.
## Comments
I am currently using the proposed setup on a live site and it working great so far. If this PR is of interest to the maintainers, then I could commit more changes and take care of the documentation. Of course, any suggestions by the more experienced people around here, are welcome!
* Integrate Flower with Docker Compose setup locally
* Remove alien worker celeryd option
* Move Flower COPY section below the worker's
* Remove set -o pipefail command from Flower start script
* Flower client authentication
* Override flower service image name
* Move flower service to the end of local.yml
* Install flower==0.9.2 in all environments
* Introduce production flower service
* Fix local flower start script
* Document Flower integration
* Prettify *.django envs
Rationale: consistency.
* Reference local environment Flower docs from the production's
* 'two more services' -> 'three more services'
