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Pipeline

Pipeline is a library + CLI tool to load programmable pipelines, execute jobs and get detailed results per stage for reporting/debugging.

Concepts

  • Pipeline: A sequential list of stages
  • Stage: An command template with a unique name within the pipeline.
  • Job: A job that will be executed on a pipeline with an optional set of input variables
  • JobResult: The output of a Job that has been executed on a pipeline, contains status and a StageResult for each stage in the pipeline
  • StageResult: The exact command that was executed, it's exitcode, stdout and stderr.

CLI examples

Load a pipeline YML file and execute it with input variable topic=technology

bin/pipeline run examples/bbc-news-demo.pipeline.yml -d topic=technology

Load a pipeline YML file and execute it with input from STDIN

bin/pipeline run examples/bbc-news-stdin-demo.pipeline.yml < examples/bbc-news-demo.rss.xml

Output a JSON result of the JobResult + StageResults to result.json

bin/pipeline run -o result.json examples/bbc-news-demo.pipeline.yml -d topic=technology

Load a pipeline YML file and intentially cause an error by requesting a non-existant topic. This will output the errors.

bin/pipeline run examples/bbc-news-demo.pipeline.yml -d topic=this-topic-does-not-exist

You can suppress output and debugging output by using --quiet. You can use this in combination with -o to read the details from a .json file.

In all cases the exit code of the pipeline command will match the exit code of the last stage result: 0 on success, or other on failure.

Library example

Please refer to examples/example-code.php on how to use the pipeline package as a library.

Configuration through environment variables

pipeline will use environment variables in the inputs of pipelines. This way you don't need to define all required variables using -d.

When pipeline runs, it first checks if a .env file exists in the current directory and update the environment variabels based on it's contents.

License

MIT. Please refer to the license file for details.

Brought to you by the LinkORB Engineering team


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