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        "author": "Martijn van Dongen",
        "author_email": "martijnvandongen@binx.io",
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        "description": "# awslabs\n[awslabs](https://gitlab.com/binxio/awslabs) is a program that challenges your AWS knowledge.\n\n## Installing\n\nThe simplest method is to install awslabs with `pip3`:\n\n    pip3 install .\n\n## Development installation\nTo start for development type the following:\n\n```bash\nmake init\nmake develop\n```\n\n## Run awslabs for development\nType the following:\n\n```bash\npipenv run python -m awslabs list \n```\n\nTo run a track you are working on type:\n\n```bash\npipenv run python -m awslabs <your-track> start\n```\n\n## Package awslabs\nTo package awslabs type:\n\n```bash\nmake dist \n```\n\n## TODO\n\nRefine the following ideas.\n\nErrors:\n* Ensure it can only be used in python3\n\nRefactor/fix:\n* The deep if/else/try-statements makes it a horror\n* Remove the meta files/folders (__init__.py / __pycachec__ etc)\n* Consider replacing mytrack.py to yaml\n* Make region independent\n* Make the cloudformation input json compatible, and optionally a different file with a parameter in click\n* Make it easy to save progress details in\n\nFeatures:\n* Add tests (cloudformation already has the \"perfect\" cloudformation scripts)\n* Users can first read the track (awslabs trackname / awslabs trackname info)\n* Group tracks in \"basic\" and \"advanced\" (to be able to do the advanced, you need to have basic knowledge)\n* Write start time to config for report in the feedback the progress\n* Make awslabs track stop (or abort) such that it will warn if resources are still running\n* Add a short description to the tracks to improve track selection\n\n```\n$ awslabs\n\nTracks available:\n\n  Basic:\n    ec2             Deploy ec2 instance with init\n    autoscaling     Deploy an autoscaling group\n    s3              Use the S3 service\n    ml-api          Use the machine learning api's\n\n  Advanced:\n    kinesis-athena  Kinesis, Firehose, S3, Athena\n    ecs             ECS Cluster with Service Discovery\n    wordpress       Learn ELB, Autoscaling, RDS, Route53\n```\n\n## Create a simple challenge\nTo create a challenge, do the following:\n\n- Create a directory in tracks called eg. `mytrack`,\n- create a `mytrack.py` file in `mytrack`\n- create a directory `challenges` in `mytrack`\n- create multiple challenge files starting from `01.py` and so on.\n\n## Tracks\nTracks are called `mytrack.py` and must contain at a minimum the following:\n\n```python\nfrom awslabs.track import Track\n\nclass MyTrack(Track):\n    \"\"\"\n    A track description, can be multiline and contain links etc.\n    \"\"\"\n    name = \"TrackName\"\n    description = __doc__\n    level = \"basic\"\n    short_description = \"a short description\"\n```\n\n## Challenges\nChallenges are named `01.py` and so on, and must contain at a minimum the following:\n\n```python\nfrom awslabs.challenge import Challenge\n\nclass MyChallenge(Challenge):\n    \"\"\"\n        Put your challenge\n    \"\"\"\n    title = \"My Challenge\"\n    description = __doc__\n\n    def start(self) -> None:\n        self.instructions()\n\n    def validate(self) -> None:\n        self.save('key', 'a-value-to-save') # save a value to the session\n        self.get('key') # load a value from the session\n        self.check() # check the challenge\n        self.success('') # mark the challenge as succesful \n        self.fail('') # mark the challenge as failure\n```\n\n\n\n",
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