Implement the PostProcess Adaptation

You can go through the introduction here: Post Processor

1. Create the script mentioned in the chimera_config.yaml file under the postprocessor.module_path.

2. In the script, declare the subclass mentioned in the chimera_config.yaml file under the postprocessor.class_name

3. Start with the following code snippet:

   from chimera.postprocess_functions import PostProcessFunctions class NisarPostProcessFunctions(PostProcessFunctions): def __init__(self, context, pge_config, settings, psuedo_context): PostProcessFunctions.__init__(self, context, pge_config, settings, psuedo_context)

The variables you have available throughout this subclass are:

• Context - contents of _context.json of the SciFlo job. You can access it as self._context in the precondition functions

• PGE’s configuration - contents of the respective PGE’s configuration file. Can be accessed as self._pge_config

• Settings file - content of settings.yaml file accessible as self._settings

• Psuedo context - This is a the runconfig that the PGE job needs to run with. It can be accessed as self._psuedo_context

You can add any functions to this class that you want to run in addition to the nominal functionality of constructing a psuedo context to pass on to the next PGE’s (if any) Input preprocessor.

This is the place where you can implement functions to report accountability of job runs or any other post PGE run task required by your project.