bird-ospf-link-db-parser 1.1.0

A simple Python package

Bird OSFP Link Database Parser

Parses the output of the BIRD Routing Daemon's ospf link state command into a machine-readable JSON string.

> birdc show ospf link state all > parse-bird-link-dbparse-bird-link-db -
{
  "areas": {
    "0.0.0.0": {
      "routers": {
        "10.68.29.50": {
          "links": {
            "router": [
              {
                "id": "10.69.7.31",
                "metric": 10
              }
            ],
            "stubnet": [
              {
                "id": "10.69.29.50/32",
                "metric": 0
              },
              {
                "id": "10.68.29.50/32",
                "metric": 0
              }
            ],
            "external": [
              {
                "id": "10.70.174.0/24",
                "metric": 20
              }
            ]
          }
        },
        "10.68.73.125": {
          "links": {
            "router": [
              {
                "id": "10.69.73.25",
                "metric": 10
              },
              {
                "id": "10.69.52.83",
                "metric": 30
              },
              {
                "id": "10.69.73.25",
                "metric": 30
              }
            ],
            "stubnet": [
              {
                "id": "10.69.73.125/32",
                "metric": 0
              },
              {
                "id": "10.68.73.125/32",
                "metric": 0
              }
            ]
          }
        },
        ...
      }
    }
  }
}

Usage

Pre-requisites: python3 available via the shell

Setup by cloning, creating a virtual env, and installing the application

git clone https://github.com/Andrew-Dickinson/bird-ospf-link-db-parser
cd bird-ospf-link-db-parser
python3 -m venv .venv
source .venv/bin/activate
pip install -e .

then invoke the tool with the CLI command:

birdc show ospf link state all > parse-bird-link-dbparse-bird-link-db -

Running the unit tests

Follow the instructions under "Usage" above, to clone a local copy of this application and activate the virtual environment. Then installing the test dependencies with:

pip install -e ".[test,dev]"

Finally, invoke the test suite using pytest:

pytest test/

Building to PyPi

Follow the instructions above to clone a local copy of this application, activate the virtual environment, and run the tests.

Then, build & upload the application with

rm -rf dist/*
python -m build .
twine upload dist/*

License

Distributed under the MIT License. See LICENSE.txt for more information.

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Acknowledgments

• Best-README-Template