- Before we get any deeper, remember to follow PEP8 style guidelines and run `./lint.sh` before committing.
- You may also use `pycodestyle nyaa/ --show-source --max-line-length=100´ to see a list of warnings/problems instead of having `lint.sh` making modifications for you
- Other than PEP8, try to keep your code clean and easy to understand, as well. It's only polite!
### Setting up Pyenv
pyenv eases the use of different Python versions, and as not all Linux distros offer 3.6 packages, it's right up our alley.
- Database migrations are done with [flask-Migrate](https://flask-migrate.readthedocs.io/), a wrapper around [Alembic](http://alembic.zzzcomputing.com/en/latest/).
- If someone has made changes in the database schema and included a new migration script:
- If your database has never been marked by Alembic (you're on a database from before the migrations), run `./db_migrate.py stamp head` before pulling the new migration script(s).
- If you already have the new scripts, check the output of `./db_migrate.py history` instead and choose a hash that matches your current database state, then run `./db_migrate.py stamp <hash>`.
- Update your branch (eg. `git fetch && git rebase origin/master`)
- Run `./db_migrate.py upgrade head` to run the migration. Done!
- If *you* have made a change in the database schema:
- Save your changes in `models.py` and ensure the database schema matches the previous version (ie. your new tables/columns are not added to the live database)
- Run `./db_migrate.py migrate -m "Short description of changes"` to automatically generate a migration script for the changes
- Check the script (`migrations/versions/...`) and make sure it works! Alembic may not able to notice all changes.
- Run `./db_migrate.py upgrade` to run the migration and verify the upgrade works.
- (Run `./db_migrate.py downgrade` to verify the downgrade works as well, then upgrade again)
## Setting up and enabling Elasticsearch
### Installing Elasticsearch
- Install JDK with `sudo apt-get install openjdk-8-jdk`
- or [simply extracting the archives and running the files](https://www.elastic.co/guide/en/elasticsearch/reference/current/_installation.html), if you don't feel like permantently installing ES
- Run `curl -XGET 'localhost:9200'` and make sure ES is running
- Optional: install [Kibana](https://www.elastic.co/products/kibana) as a search debug frontend for ES
Enable the `USE_ELASTIC_SEARCH` flag in `config.py` and (re)start the application.
Elasticsearch should now be functional! The ES indices won't be updated "live" with the current setup, continue below for instructions on how to hook Elasticsearch up to MySQL binlog.
However, take note that binglog is not necessary for simple ES testing and development; you can simply run `import_to_es.py` from time to time to reindex all the torrents.
- Edit your MariaDB/MySQL server configuration and add the following under `[mariadb]`:
```
log-bin
server_id=1
log-basename=master1
binlog-format=row
```
- Restart MariaDB/MySQL (`sudo service mysql restart`)
- Copy the example configuration (`es_sync_config.example.json`) as `es_sync_config.json` and adjust options in it to your liking (verify the connection options!)
- Connect to mysql as root
- Verify that the result of `SHOW VARIABLES LIKE 'binlog_format';` is `ROW`
- Execute `GRANT REPLICATION SLAVE ON *.* TO 'username'@'localhost';` to allow your configured user access to the binlog
### Setting up sync_es.py
`sync_es.py` keeps the Elasticsearch indices updated by reading the binlog and pushing the changes to the ES indices.
- Make sure `es_sync_config.json` is configured with the user you grated the `REPLICATION` permissions
- Run `import_to_es.py` and copy the outputted JSON into the file specified by `save_loc` in your `es_sync_config.json`
- Run `sync_es.py` as-is *or*, for actual deployment, set it up as a service and run it, preferably as the system/root
- Make sure `sync_es.py` runs within the venv with the right dependencies!
You're done! The script should now be feeding updates from the database to Elasticsearch.
Take note, however, that the specified ES index refresh interval is 30 seconds, which may feel like a long time on local development. Feel free to adjust it or [poke Elasticsearch yourself!](https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-refresh.html)