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        "description": "![](docs/full-logo.png)\n\n> Skedulord is a tool that automates scheduling and logging of jobs. It's a \nlayer on top of cron. It's mainly meant for Python users but it can also be\nused for other tools launched from the command line. \n\nIf you're new, check out the [getting started guide](https://koaning.github.io/skedulord/getting-started.html). \n\n## Installation \n\n```python\npip install skedulord\n```\n\nIf you like to live dangerously, you can also install from GitHub for the latest commit. \n\n```\npython -m pip install --upgrade \"skedulord @ git+https://github.com/koaning/skedulord.git\"\n```\n\n## Usage \n\nThese are all the commands available: \n\n```\n> python -m skedulord\nUsage: __main__.py [OPTIONS] COMMAND [ARGS]...\n\n  SKEDULORD: helps with cronjobs and logs.\n\nOptions:\n  --help  Show this message and exit.\n\nCommands:\n  schedule  Set (or reset) cron jobs based on config.\n  run       Run a single command, which is logged by skedulord.\n  history   Shows a table with job status.\n  summary   Shows a summary of all jobs.\n  build     Builds static html files so you may view a dashboard.\n  serve     Opens the dashboard in a browser.\n  wipe      Wipe the disk or schedule state.\n  version   Show the version.\n```\n\n## Docmentation\n\nThe docs are hosted on GitHub Pages and can be found [here](koaning.github.io/skedulord/).\n\n## Demo\n\nLet's say we've got this small python file. \n\n```python\n# script.py\nfor i in range(5):\n    print(f\"i am at iteration {i}\")\n```\n\nThe idea here is that `skedulord` can run this and keep track of logs.\n\n```text\npython -m skedulord run jobname1 \"python script.py\" --retry 3 --wait 60\npython -m skedulord run jobname2 \"python script.py\" --retry 3 --wait 60\n```\n\nThis will run the `\"python script.py\"` command as if you'd normally run it\nfrom the command line. The `skedulord` parts around it do some extra things though.\n\n## Logs \n\nThe main thing `skedulord` does is structure logs from your scripts. The logs\nare generated in a structured format so it's easy to find bugs. When we ran \nthe `skedulord run` command we attached a jobname (aptly named `\"jobname\"`) which\nwill also be the name of the folder where logs can be found.\n\n```text\n> tree ~/.skedulord/\n/Users/vincent/.skedulord/\n\u251c\u2500\u2500 heartbeat.jsonl\n\u251c\u2500\u2500 jobname1\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 2021-02-14T16:56:34.html\n\u2502\u00a0\u00a0 \u2514\u2500\u2500 2021-02-14T16:56:34.txt\n\u2514\u2500\u2500 jobname2\n    \u251c\u2500\u2500 2021-02-14T16:56:35.html\n    \u2514\u2500\u2500 2021-02-14T16:56:35.txt\n\n```\n\nThe logs themselves have a timestamp as the filename. There are basic `.txt` logs \nbut also fancy `.html` logs which render nicely in a dashboard.\n\n## Mechanics \n\nWe've designed `skedulord` to also be able to rerun jobs if they fail. Hiccups are\npart of real life and sometimes we can make a job succeed by trying again 5 minutes\nlater. This is why you can specify how many attempts you'd like the job to make by \nsetting `--retry`. You can also specify the wait time between attempts via `--wait`. \n\n### Schedule \n\nThe nice thing about `skedulord` running from the command line is that you can schedule\nit via `crontab` too! The downside is that it can get complex. You'd need to ensure that\nthe jobs have access to the correct virtual environments and this can become a drag. \n\nTo help out, `skedulord` can also configure cron for you by configuring a `.yml` file.\n\n```yaml\n# schedule.yml\nuser: vincent\nschedule:\n    - name: ping\n      command: python /home/vincent/path/scripts/ping.py\n      cron: \"*/2 * * * *\"\n    - name: github issues downloader\n      command: python /full/path/to/cli.py --repo foobar --output /Users/vincent/data\n      cron: \"0 1 * * *\"\n    - name: github actions downloader\n      command: python /full/path/to/scrape.py --repo foobar --output /Users/vincent/data\n      cron: \"0 1 * * *\"\n```\n\nGiven a schedule like this, skedulord can schedule everything via; \n\n```text\npython -m skedulord schedule schedule.yml\n```\n\nYou can confirm yourself that all jobs are now scheduled to run, with skedulord\ntaking care of all the logging. \n\n```text\ncrontab -e\n```\n\n> Note that when a command starts with `python` skedulord will assume the same virtualenv\nas the one that ran the `skedulord schedule` command. You may also pass another Python path\nif you prefer to use another virtualenv.\n\n### Dashboard \n\nIf you want, you can even use skedulord to run a small dashboard for you to show\nall the logs from past jobs. These are all available from the terminal as well, \nbut it's nice to have an extra interface.\n\n```python\npython -m skedulord serve\n```\n\nThe landing page shows an overview of all jobs. \n\n![](docs/dashboard1.png)\n\nYou can click on the associated link to find all runs.\n\n![](docs/dashboard2.png)\n\nFrom here you can explore the logs. We host both the raw .txt logs\nand a \"fancy\" variant that attemps some syntax highlighting.\n\n![](docs/dashboard3.png)\n\nIf you'd like to play around, we host a small demo of this dashboard [here](https://koaning.github.io/skedulord-demo/).\n\n\n",
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