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92 lines
2.1 KiB
ReStructuredText
92 lines
2.1 KiB
ReStructuredText
Development environment
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=======================
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Docker containers
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-----------------
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The development environment is quite similar to the production one. You should always use
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the ``master`` version when developing. Simply add a build directive to the images
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you are working on in the ``docker-compose.yml``:
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.. code-block:: yaml
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webdav:
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build: ./optional/radicale
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image: mailu/$WEBDAV:$VERSION
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restart: always
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env_file: .env
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volumes:
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- "$ROOT/dav:/data"
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admin:
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build: ./core/admin
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image: mailu/admin:$VERSION
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restart: always
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env_file: .env
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volumes:
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- "$ROOT/data:/data"
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- "$ROOT/dkim:/dkim"
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- /var/run/docker.sock:/var/run/docker.sock:ro
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depends_on:
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- redis
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The build these containers.
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.. code-block:: bash
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docker-compose build admin webdav
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Then you can simply start the stack as normal, newly-built images will be used.
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.. code-block:: bash
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docker-compose up -d
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If you wish to run commands inside a container, simply run (example):
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.. code-block:: bash
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docker-compose exec admin ls -lah /
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Or if you wish to start a shell for debugging:
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.. code-block:: bash
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docker-compose exec admin sh
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Finally, if you need to install packages inside the containers for debugging:
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.. code-block:: bash
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docker-compose exec admin apk add --no-cache package-name
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Web administration
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------------------
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The administration Web interface requires a proper dev environment that can easily be setup using ``virtualenv`` (make sure you are using Python 3) :
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.. code-block:: bash
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cd core/admin
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virtualenv .
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source bin/activate
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pip install -r requirements.txt
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You can then export the path to the development database (use four slashes for absolute path):
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.. code-block:: bash
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export SQLALCHEMY_DATABASE_URI=sqlite:///path/to/dev.db
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And finally run the server with debug enabled:
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.. code-block:: bash
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python run.py
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Any change to the files will automatically restart the Web server and reload the files.
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When using the development environment, a debugging toolbar is displayed on the right side
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of the screen, that you can open to access query details, internal variables, etc.
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