Date: Thu, 28 Mar 2024 13:41:11 -0500 (CDT)
Message-ID: <1934709354.184.1711651271868@os-confluence.ncsa.illinois.edu>
Subject: Exported From Confluence
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This extractor would utilize pyClowder framework to handle =
simple check_message() and process_message() components, but with the chanc=
e to call an external function to do the actual extractor work.
Developers would write a function that takes an input or data (and proba=
bly the logger used by simple extractor) and returns a JSON dict with any n=
ew files, metadata, previews etc. that result from the function:
So here, the simple extractor would handle everything and call the confi=
gured 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 outpu=
ts for their function:
So in this example response object:
- "files" key has a dict with any files to be uploaded.=20
- using file_id as subkey allows uploading metadata and previews to exist=
ing file.
- using "new_123" or any "new" prefix key will result in new file created=
that can also include metadata and previews
- dict can include as many files as desired
- files in the "files" portion are assumed to belong to dataset that trig=
gering input file belongs to.
- "datasets" key has a dict if the extractor needs to create NEW datasets=
, or upload files to datasets different the one that triggered the extracto=
r=20
- "new" or "new_123..." will create a new dataset that can include files =
and dataset metadata.
- existing dataset ID will load files or metadata to that dataset.
- the "files" dict has same structure described above.
Big idea is to let developers simply write code to process an input file=
based on 2 parameters: the data and the logger.
At the end, it can call a sendrespose(files, metadata) function of some =
kind to auto build the dict for simple extractor to parse. We should think =
about this - maybe different sendresponse() functions if file vs. dataset e=
xtractor? Don't want users to have to build the JSON object themselves nece=
ssarily, although maybe they have to if the JSON object is complex and send=
response() is just for basic responses?
Single File Extractor:
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