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CONTRIBUTING.md

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Contributing to jc

We love your input! We want to make contributing to this project as easy and transparent as possible, whether it's:

  • Reporting a bug
  • Discussing the current state of the code
  • Submitting a fix
  • Proposing new features
  • Proposing a new parser

We Develop with Github

We use github to host code, to track issues and feature requests, as well as accept pull requests.

We Use Github Flow, So All Code Changes Happen Through Pull Requests

Pull requests are the best way to propose changes to the codebase (we use Github Flow). We actively welcome your pull requests:

  1. Open an issue to discuss the new feature, bug fix, or parser before opening a pull request. For new parsers, it is important to agree upon a schema before developing the parser.
  2. Fork the repo and create your branch from dev, if available, otherwise master.
  3. For new parsers:
  4. If you've added code that should be tested, add tests. All new parsers should have several sample outputs and tests.
    • Templates:
      • Recommended: tests/templates/_test_foo_simple.py as a template if you only have test with fixtures. Execute these steps for standard tests:
        • Save this file as test_{parser_name}.py since the helper methods extract parser names from the filename. Use underscores instead of dashes for the parser name.
        • Organize fixtures in tests/fixtures for optimal structure.
        • Format fixtures as follows (using double dashes):
          • {parser_name}--{some_test_description}.out for command output. (no dots in the filename except for the .out suffix)
          • {parser_name}--{some_test_description}.json for expected JSON after parsing. (no dots in the filename except for the .json suffix)
      • Custom: tests/templates/_test_foo.py as a template for tests.
      • Custom: tests/templates/_test_foo_s.py as a template for streaming parser tests.
    • Fixtures: Tests typically consist of an input file and an expected output JSON file. Add the data files to the appropriate folder under tests/fixtures
  5. Documentation is auto-generated from docstrings, so ensure they are clear and accurate.
  6. Ensure the test suite passes. (Note: "America/Los_Angeles" timezone should be configured on the test system)
  7. Make sure your code lints.
  8. Issue that pull request!

Documentation And Completions

No need to worry about documentation and completions as those are auto generated via the python doc strings.

Parser Schema Guidelines

  • Try to keep the schema as flat as possible - typically a list of flat dictionaries
  • Keys should be lowercase, contain no special characters, and spaces should be converted to underscores
  • Keys should be static, if possible. If they have to be dynamic, then they should not contain lists or dictionaries

This will make it easier to use tools like jq without requiring escaping of special characters, encapsulating key names in [""], keeps paths predictable, and makes iterating and searching for values easier.

Examples

Bad:

{
  "Interface 1": [
    "192.168.1.1",
    "172.16.1.1"
  ],
  "Wifi Interface 1": [
    "10.1.1.1"
  ]
}

Good:

[
  {
    "interface": "Interface 1",
    "ip_addresses": [
      "192.168.1.1",
      "172.16.1.1"
    ]
  },
  {
    "interface": "Wifi Interface 1",
    "ip_addresses": [
      "10.1.1.1"
    ]
  }
]

Development Environment

Use the following steps to set up the development environment.

Virtual Environment

Set up a Python virtual environment for jc development so you won't have to worry about library conflicts. This can be done with something like pyenv and/or venv

Clone the repo

Once the virtual environment is set up, clone the jc repository inside:

git clone https://github.com/kellyjonbrazil/jc.git

Install In Developer Mode

Next, use the ./install.sh script to install jc and the requirements in developer mode (code chages take effect immediately). This will install the console-script entry point to $HOME/.local/bin so you may need to add this to your path.

Tests

It is essential to have good command output sample coverage and tests to keep the jc parser quality high.

Many parsers include calculated timestamp fields using the jc.utils.timestamp class. Naive timestamps created with this class should be generated on a system configured with the "America/Los_Angeles" timezone on linux/macOS/unix and "Pacific Standard Time" timezone on Windows for tests to pass on the Github Actions CI tests. This timezone should be configured on your local system before running the tests locally, as well.

You can run all tests by running the ./runtests.sh script.

Debug Messages

Use --debug or -d to see debug error messages (double to see more):

echo 'abc' | jc --parser-with-error -dd

Any contributions you make will be under the MIT Software License

In short, when you submit code changes, your submissions are understood to be under the same MIT License that covers the project. Feel free to contact the maintainers if that's a concern.

Report bugs using Github's Issues

We use GitHub issues to track public bugs. Report a bug by opening a new issue; it's that easy!

Write bug reports with detail, background, and sample code

Great Bug Reports tend to have:

  • A quick summary and/or background
  • Steps to reproduce
    • Be specific!
    • Give sample code if you can.
  • What you expected would happen
  • What actually happens
  • Notes (possibly including why you think this might be happening, or stuff you tried that didn't work)

Use a Consistent Coding Style

  • 4 spaces for indentation rather than tabs
  • Use a Python linter that will enforce PEP 8 and other best practices