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Windows GUI tool to let business users extract tabular CSV reports from large sets of complex JSON documents with a point-and-click interface.

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WasatchPhotonics/JSONExtractor

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Overview

A simple GUI to let non-programmers query large sets of JSON documents, whether stored on a local filesystem or downloaded from an AWS S3 bucket.

Programmers can of course query JSON repositories directly using command-line tools like awscli and jq, but many people interested in business or data analytics won't be comfortable with that interface, and may prefer a flat CSV export they can readily load into Excel for crosstabs and charting.

What this is Not

The ideal end-state for flexibly querying S3-backed data would be a web application, hosted natively on AWS, allowing users to point-and-click to specify filter criteria and fields to extract, letting the majority of the S3 I/O and processing run internally on their data center, and then generating an extract file when processing completes (probably itself posted to a different S3 bucket, with a download link emailed to the requesting user).

That would be a neatly encapsulated work-egg to contract out to an AWS web developer. You may consider this utility as a stop-gap measure, used to demonstrate and refine an eventual cloud GUI and report-builder interface you'd like to provision.

What this Is

Given the above, is this throwaway code, a wasted effort?

It is not. The truth is that many smaller shops don't have a cloud developer, or cloud-backed data, (or schedule / budget to create a bespoke tool), but do have a big pile of JSON documents they'd like to sift through. And it kind of blew my mind that on a quick Google search, I couldn't find a basic, free Windows GUI letting business users do that.

So now there is one :-)

Backlog

  • support [ { rec1 }, { rec2 } ] (WavelengthCalibrationTest.FWHM.LineResolution)

Architecture

Obviously this is the kind of thing that would experience dramatic performance improvements through parallelization, ideally using some variant of map-reduce (Hadoop etc) to split the list of S3 keys across a dozen processing nodes.

The lion's share of runtime is absolutely spent in ungzipping, then parsing the JSON blobs, which is why the ability to carefully pre-filter based on filename / key can be a game-changer.

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Windows GUI tool to let business users extract tabular CSV reports from large sets of complex JSON documents with a point-and-click interface.

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