mirror of
https://github.com/zulip/zulip.git
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72 lines
2.0 KiB
Markdown
72 lines
2.0 KiB
Markdown
Using Docker (experimental)
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---------------------------
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Start by cloning this repository: `git clone
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https://github.com/zulip/zulip.git`
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The docker instructions for development are experimental, so they may
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have bugs. If you try them and run into any issues, please report
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them!
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You can also use Docker to run a Zulip development environment.
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First, you need to install Docker in your development machine
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following the [instructions][docker-install]. Some other interesting
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links for somebody new in Docker are:
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* [Get Started](https://docs.docker.com/engine/installation/linux/)
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* [Understand the architecture](https://docs.docker.com/engine/understanding-docker/)
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* [Docker run reference](https://docs.docker.com/engine/reference/run/)
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* [Dockerfile reference](https://docs.docker.com/engine/reference/builder/)
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[docker-install]: https://docs.docker.com/engine/installation/
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Then you should create the Docker image based on Ubuntu Linux, first
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go to the directory with the Zulip source code:
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```
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docker build -t user/zulipdev .
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```
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Now you're going to install Zulip dependencies in the image:
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```
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docker run -itv $(pwd):/srv/zulip -p 9991:9991 user/zulipdev /bin/bash
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$ /usr/bin/python /srv/zulip/tools/provision.py --docker
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docker ps -af ancestor=user/zulipdev
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docker commit -m "Zulip installed" <container id> user/zulipdev:v2
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```
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Finally you can run the docker server with:
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```
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docker run -itv $(pwd):/srv/zulip -p 9991:9991 user/zulipdev:v2 \
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/srv/zulip/tools/start-dockers
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```
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If you want to connect to the Docker instance to build a release
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tarball you can use:
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```
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docker ps
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docker exec -it <container id> /bin/bash
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$ source /home/zulip/.bash_profile
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$ <Your commands>
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$ exit
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```
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To stop the server use:
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```
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docker ps
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docker kill <container id>
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```
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If you want to run all the tests you need to start the servers first,
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you can do it with:
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```
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docker run -itv $(pwd):/srv/zulip user/zulipdev:v2 /bin/bash
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$ tools/test-all-docker
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```
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You can modify the source code in your development machine and review
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the results in your browser.
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