Hello everybody,
i have trained a custom model for recognizing a tax payment form. Using the HTTP POST and GET actions i manage to get the results.
I am however struggling in parsing the JSON. As mentioned in the title, the model has quite an amount of labels (the tax form has 4 sections, each section has at least 5 rows and 4 columns).
As I am unfortunately a tax advisor and not a coder, i am struggling with doubts on how to parse the JSON:
- My first doubt starts already with the "generate from sample" option in the "parse JSON" step. While RTFM-ing for clues every guide basically suggests to run the flow and then copy-paste (with some correction) the output. However, not all the labelled fields will be used, this means that some object in the array won't have a property at all. SHould i add them manually?
- Every labelled field's property in the array has the same name: how can i know which valueString is related to e.g. L1DEB and which to TOT?

Another doubt that I have is not directly connected to flow per se, and has to do with how many pages can i send to the model in a certain amount of time. As an example, in a current flow i send around 160 single paged PDF all together. Given that i am currently in the F0 plan, is there a limit of files that i can send at the same time? if yes, how can i prevent that all pages will be sent to the form recognizer, if the flow trigger is "when a file is created in a folder in sharepoint"??
Sorry for the long questions...!!!