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        "author": "Konstantinos Siaterlis",
        "author_email": "siaterliskonsta@gmail.com",
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        "description": "# Django Command Monitoring\n\n### Description\nDjango Command Monitoring is a tool that logs the progress of django commands. It writes the progress into FireBase where you can then read and do whatever you want with the data. Currently it keeps the log of the last 100 iterations for each command to avoid overuse of Firebase database.\n\nCurrently supports:\n\n- Django>=1.11\n- Python 2 & 3\n\n\n## How to install\n\n#### Package installation\nUse \n - `pip install django-command-monitor`\n - `pip install git+https://github.com/orfium/django-command-monitoring.git`\n\n#### Set up environment\nIn your django settings file you have to include your FireBase credentials and the FireBase folder that identifies your \nproject.\n\nFor your FireBase credentials: \n```python\nFIREBASE_MONITORING = {\n    'API_KEY': '<your FireBase API key>',\n    'DOMAIN': '<your FireBase domain>',\n    'NAME': '<your FireBase name>',\n    'PROJECT_ID': '<your FireBase project id>',\n    'SENDER_ID': '<your FireBase sender id>'\n}\n```\n\nFor your FireBase folder:\n```python\nFIREBASE_MONITORING_KEY = 'monitor-myapp-production'\n```\n\n#### How to run with django-command-monitoring\nWhen you are done setting up the only thing you have to do is to include the tool and use `MonitoredCommand` class \ninstead of Django's `BaseCommand`\n\n```python\nfrom django_command_monitor import monitor\n\nclass Command(monitor.MonitoredCommand):\n    ...\n```\n\n#### Settings variables and command inputs\n- To disable the command monitoring feature for one command for development runs you can include the input \n`--disable_monitor` as argument in your command\n\n- If you want to disable the monitoring in the testing env, you can add a variable in your testing settings:\n`TESTING=True`\n\n- To set the time between each ping set the following variable in settings `FIREBASE_MONITORING_INTERVAL_PING=<secs>`, where `<secs>`\nis integer, default is 30 seconds.\n\n- To disable the monitoring for the entire project set the variable in settings `FIREBASE_MONITORING_RUN=False`\n\n## After installation\nYour data in FireBase will look like this:\n\n```json\n{\"monitor-myapp-production\":{\n           \"commands\":{\n                \"<the name of your command with arguments>\":{\n                        \"log\":[{\n                                      \"finished\": \"<DATETIME>\",\n                                      \"id\": \"<COMMAND ID>\",\n                                      \"latest\": \"<DATETIME>\",\n                                      \"message\": \"<MESSAGE>\",\n                                      \"name\": \"<COMMAND NAME>\",\n                                      \"params\": \"<PARAMETERS>\",\n                                      \"started\": \"<DATETIME>\",\n                                      \"status\": \"<STATUS>\",\n                                      \"exception_type\": \"<EXCEPTION AS STRING>\"\n                                },\n                                {\"...\":\"...\"},\n                                \"...\"   \n                        ]\n                },\n                \"<another command>\":{\"...\":\"...\"}\n           }\n  }\n}\n```\n\nFirst of all the name of the FireBase table is the same as the one in settings `FIREBASE_TABLE`.\nUnder the key `commands` all the commands that have ran under the `monitor.MonitoredCommand` are listed there.\n\nEach command is identified by its name along side with its parameters i.e. when running \n`python manage.py test_command --verbosity=2` the command name is transformed to `test_command__verbosity_2`.\n\nUnder each command there is the key `log` that contains a list of all runs of this command with the respective details\n\nFor each log it keeps the following data:\n- `id`: the identifier of the command(for now is the same as the key of the command mentioned above)\n- `name` : The name of the command i.e. when running `python manage.py test_command --verbossity=2` the name is `test_command`\n- `status`: the status of the command\n    - `STARTED` : The command has just started\n    - `RUNNING` : The command currently running\n    - `FINISHED` : The command has naturally finished\n    - `FAILED` : There was an error when running the command. `message` holds the error message and `exception_type`\n    holds the type of the exception\n    - `SYSTEM_KILL`: The command is killed by the system i.e. Heroku restarts the dyno based on the given interval. This \n    status is assigned when the same command starts a new cycle and the previous log has status `RUNNING`, meaning the \n    command is forced to stop before writing to FireBase\n- `started` : The datetime of when the process started\n- `finished`: The datetime of when the process finished. If the process is not yet finished the value is None\n- `latest`: The datetime of the latest ping. The process is running under a thread where it pings to FireBase under a \ntime interval\n- `message`: The message of the failed command\n- `exception_type` : The type of the exception when the command failed\n- `params`: The parameters of the command i.e. `python manage.py test_command --verbosity=2` goes to `verbosity=2`. \nMultiple parameters are comma separated\n\nFinally the `<DATETIME>` format is as follows: YYYY-MM-DDTHH:MM:SS.(float)Z\n\n## TODO\n- [X] Handle the timeouts on FireBase, with at least 3 times retry\n- [ ] Add support for other command classes other than `BaseCommand`",
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