FROM CHATGPT TO CSV TO JSON

Question

Hello there. I am preparing prompts and ask from CHATGpt to suggest a full system(processes, flows, inputs/outputs, global, input and dependent parameters for my project database. I get 3 CSV's inventrory, mapping and parameters. Running script in Pychamp to transform CSV to JSON.zip. When importing to my database, via IPC server or import/other the tree architecture, flows and process are ok but inputs/outputs tab is missing info and units do not work and dependent parameters tab is empty with no formulas or values. All parameters from CSV's have been placed as global and input parameters window contains the same info in all processes. I guess unit value windows is not working because flows are not derived from the database. It seems JSON.zip is not structured in a manner that OPENLCA recognizes or the csv are not structured well. Is there a python script or transformation mediator to translate imported data in a proper way? Is it a fault of the software? 

Thank you

Answer 1

Well I would say it is not a fault of openLCA if ChatGPT is not able to reproduce openLCA's JSON-LD format correctly - typically some finetuning is needed to make meaningful openLCA datasets from AI systems, and ensuring that the datasets meet the technical format requirements is only one side of the story - but it seems you are already on a good way..