libretime/analyzer/README.md

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# libretime-analyzer
libretime-analyzer is a daemon that processes LibreTime file uploads as background jobs.
It performs metadata extraction using Mutagen and moves uploads into LibreTime's
music library directory (stor/imported).
libretime-analyzer uses process isolation to make it resilient to crashes and runs in
a multi-tenant environment with no modifications.
## Installation
```bash
python setup.py install
```
You will need to allow the "airtime" RabbitMQ user to access all exchanges and queues within the /airtime vhost:
```bash
rabbitmqctl set_permissions -p /airtime airtime .\* .\* .\*
```
## Usage
This program must run as a user with permissions to write to your Airtime music library
directory. For standard Airtime installations, run it as the libretime user:
```bash
sudo -u libretime libretime-analyzer --daemon
```
Or during development, add the --debug flag for more verbose output:
```bash
sudo -u libretime libretime-analyzer --debug
```
To print usage instructions, run:
```bash
libretime-analyzer --help
```
This application can be run as a daemon by running:
```bash
libretime-analyzer -d
```
# Developers
For development, you want to install libretime-analyzer system-wide but with everything symlinked back to the source
directory for convenience. This is super easy to do, just run:
```bash
pip install -r requirements-dev.txt
pip install --editable .
```
To send an test message to libretime-analyzer, you can use the message_sender.php script in the tools directory.
For example, run:
```bash
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php tools/message_sender.php '{ "tmp_file_path" : "foo.mp3", "final_directory" : ".", "callback_url" : "http://localhost/rest/media/1", "api_key" : "YOUR_API_KEY" }'
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php tools/message_sender.php '{"tmp_file_path":"foo.mp3", "import_directory":"/srv/airtime/stor/imported/1","original_filename":"foo.mp3","callback_url": "http://localhost/rest/media/1", "api_key":"YOUR_API_KEY"}'
```
## Logging
By default, logs are saved to:
```
/var/log/airtime/airtime_analyzer.log
```
This application takes care of rotating logs for you.
## Unit Tests
To run the unit tests, execute:
```bash
nosetests
```
If you care about seeing console output (stdout), like when you're debugging or developing
a test, run:
```bash
nosetests -s
```
To run the unit tests and generate a code coverage report, run:
```bash
nosetests --with-coverage --cover-package=airtime_analyzer
```
## Running in a Multi-Tenant Environment
## History and Design Motivation