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How to Improve AI-Generated JSON Outputs? Seeking Advice
Automatic Python BigQuery schema generator
Hi Alyson,
I just happened to come across this today via a Google search (weird because I normally don't spend much time on Reddit.) Your tools is a great start, but I think you will find that BigQuery schema has many strange edge cases and type inference rules that your tool currently does not support. The reason that I know this is because I have already written a tool very much like yours:
https://github.com/bxparks/bigquery-schema-generator
Over many months, it has been updated to handle these strange edge cases. I think you will find that manually parsing the JSON using split(), find() and replace() will become error-prone and unmaintainable. I recommend using a JSON parser like the 'json' package. It will also handle the printing of the JSON in a nice way, so you can eliminate your code that keeps track of the indentation level.
I would not dissuade you from continuing to work on your tool. It will be a great opportunity to learn more about Python and BigQuery. However, you are welcome to look at my tool for testing and inspiration.
Brian
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I am developing an app that uses AI to generate JSON objects for a specific platform. Unfortunately, I'm struggling to get valid and complex outputs. The generated objects are either too simple or not valid at all.
I've tried:
ChatGPT API Assistant, even feeding it the full API documentation, but it still produces overly simple or sometimes invalid outputs.
Gemini, but the results are often not valid.
What can I do to improve the quality and validity of the JSON objects generated? How can I solve this problem?