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* Make rfc822 filters compatible with Windows systems. .strftime() is relative to the system it's being run on. UNIX has '%s' for seconds since the EPOCH, Windows doesn't (ValueError). Solution: use .timestamp() to achieve the same result on both platforms. This also allows us to drop the float() around it, since it returns a float. * Start testing filters * Add placeholders for more tests * Make 'tests' folder a Python package Now you can run tests with just `pytest tests` * Update readme and travis config * Test timesince() * Update and organize .gitignore Deleted: (nothing) Added: Coverage files, .idea\ * Test filter_truthy, category_name * Tests for backend.py * Tests for bencode.py * Move (empty) test_models.py to tests package * Tests for utils.py * Fixes for flattenDict * Change name to `flatten_dict` * `newkey` was assigned but never used * Add a helper class for testing * Show coverage on Travis (only Travis for now...) * Remove IDE * Use correct assert functions * Update README.md
116 lines
7.6 KiB
Markdown
116 lines
7.6 KiB
Markdown
# NyaaV2 [![Build Status](https://travis-ci.org/nyaadevs/nyaa.svg?branch=master)](https://travis-ci.org/nyaadevs/nyaa)
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## Setting up for development
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This project uses Python 3.6. There are features used that do not exist in 3.5, so make sure to use Python 3.6.
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This guide also assumes you 1) are using Linux and 2) are somewhat capable with the commandline.
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It's not impossible to run Nyaa on Windows, but this guide doesn't focus on that.
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### Code Quality:
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- Before we get any deeper, remember to follow PEP8 style guidelines and run `./lint.sh` before committing.
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- You may also use `./lint.sh -c` to see a list of warnings/problems instead of having `lint.sh` making modifications for you
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- Other than PEP8, try to keep your code clean and easy to understand, as well. It's only polite!
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### Running Tests
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The `tests` folder contains tests for the the `nyaa` module and the webserver. To run the tests:
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- Make sure that you are in the python virtual environment.
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- Run `pytest tests` while in the repository directory.
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### Setting up Pyenv
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pyenv eases the use of different Python versions, and as not all Linux distros offer 3.6 packages, it's right up our alley.
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- Install dependencies https://github.com/pyenv/pyenv/wiki/Common-build-problems
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- Install `pyenv` https://github.com/pyenv/pyenv/blob/master/README.md#installation
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- Install `pyenv-virtualenv` https://github.com/pyenv/pyenv-virtualenv/blob/master/README.md
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- Install Python 3.6.1 with `pyenv` and create a virtualenv for the project:
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- `pyenv install 3.6.1`
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- `pyenv virtualenv 3.6.1 nyaa`
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- `pyenv activate nyaa`
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- Install dependencies with `pip install -r requirements.txt`
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- Copy `config.example.py` into `config.py`
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- Change `SITE_FLAVOR` in your `config.py` depending on which instance you want to host
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### Setting up MySQL/MariaDB database
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You *may* use SQLite but the current support for it in this project is outdated and rather unsupported.
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- Enable `USE_MYSQL` flag in config.py
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- Install latest mariadb by following instructions here https://downloads.mariadb.org/mariadb/repositories/
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- Tested versions: `mysql Ver 15.1 Distrib 10.0.30-MariaDB, for debian-linux-gnu (x86_64) using readline 5.2`
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- Run the following commands logged in as your root db user (substitute for your own `config.py` values if desired):
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- `CREATE USER 'test'@'localhost' IDENTIFIED BY 'test123';`
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- `GRANT ALL PRIVILEGES ON *.* TO 'test'@'localhost';`
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- `FLUSH PRIVILEGES;`
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- `CREATE DATABASE nyaav2 DEFAULT CHARACTER SET utf8 COLLATE utf8_bin;`
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### Finishing up
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- Run `python db_create.py` to create the database and import categories
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- Follow the advice of `db_create.py` and run `./db_migrate.py stamp head` to mark the database version for Alembic
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- Start the dev server with `python run.py`
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- When you are finished developing, deactivate your virtualenv with `pyenv deactivate` or `source deactivate` (or just close your shell session)
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You're now ready for simple testing and development!
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Continue below to learn about database migrations and enabling the advanced search engine, Elasticsearch.
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## Database migrations
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- Database migrations are done with [flask-Migrate](https://flask-migrate.readthedocs.io/), a wrapper around [Alembic](http://alembic.zzzcomputing.com/en/latest/).
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- If someone has made changes in the database schema and included a new migration script:
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- 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).
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- 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>`.
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- Update your branch (eg. `git fetch && git rebase origin/master`)
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- Run `./db_migrate.py upgrade head` to run the migration. Done!
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- If *you* have made a change in the database schema:
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- 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)
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- Run `./db_migrate.py migrate -m "Short description of changes"` to automatically generate a migration script for the changes
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- Check the script (`migrations/versions/...`) and make sure it works! Alembic may not able to notice all changes.
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- Run `./db_migrate.py upgrade` to run the migration and verify the upgrade works.
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- (Run `./db_migrate.py downgrade` to verify the downgrade works as well, then upgrade again)
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## Setting up and enabling Elasticsearch
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### Installing Elasticsearch
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- Install JDK with `sudo apt-get install openjdk-8-jdk`
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- Install [Elasticsearch](https://www.elastic.co/downloads/elasticsearch)
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- [From packages...](https://www.elastic.co/guide/en/elasticsearch/reference/current/deb.html)
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- Enable the service:
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- `sudo systemctl enable elasticsearch.service`
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- `sudo systemctl start elasticsearch.service`
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- 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
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- Run `curl -XGET 'localhost:9200'` and make sure ES is running
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- Optional: install [Kibana](https://www.elastic.co/products/kibana) as a search debug frontend for ES
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### Setting up ES
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- Run `./create_es.sh` to create the indices for the torrents: `nyaa` and `sukebei`
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- The output should show `acknowledged: true` twice
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- Stop the Nyaa app if you haven't already
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- Run `python import_to_es.py` to import all the torrents (on nyaa and sukebei) into the ES indices.
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- This may take some time to run if you have plenty of torrents in your database.
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Enable the `USE_ELASTIC_SEARCH` flag in `config.py` and (re)start the application.
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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.
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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.
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### Enabling MySQL Binlogging
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- Edit your MariaDB/MySQL server configuration and add the following under `[mariadb]`:
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```
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log-bin
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server_id=1
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log-basename=master1
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binlog-format=row
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```
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- Restart MariaDB/MySQL (`sudo service mysql restart`)
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- 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!)
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- Connect to mysql as root
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- Verify that the result of `SHOW VARIABLES LIKE 'binlog_format';` is `ROW`
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- Execute `GRANT REPLICATION SLAVE ON *.* TO 'username'@'localhost';` to allow your configured user access to the binlog
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### Setting up sync_es.py
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`sync_es.py` keeps the Elasticsearch indices updated by reading the binlog and pushing the changes to the ES indices.
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- Make sure `es_sync_config.json` is configured with the user you grated the `REPLICATION` permissions
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- Run `import_to_es.py` and copy the outputted JSON into the file specified by `save_loc` in your `es_sync_config.json`
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- Run `sync_es.py` as-is *or*, for actual deployment, set it up as a service and run it, preferably as the system/root
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- Make sure `sync_es.py` runs within the venv with the right dependencies!
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You're done! The script should now be feeding updates from the database to Elasticsearch.
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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)
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