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Developers would write a function that takes an input or data (and probably the logger used by simple extractor) and returns a JSON dict with any new files, metadata, previews etc. that result from the function:

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So here, the simple extractor would handle everything and call the configured function (configured on initialization) with the data to get a result, then parse the result in a standard way.

The result dict would have a structure that allows users to define outputs for their function:

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So in this example response object:

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Now we can run the following command to test the word count code:

python -c "import wordcount; print wordcount.wordcount(\"poem.txt\")"

It will show the output as:

{'metadata': {'lines': 5', 'characters': 182', 'words': '37'}}

Running wordcount.py as extractor

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