The focus of this conversation is on formatting transaction data for integration with the Bubble app by grouping transactions by date and ensuring the data structure is compatible.
Initially, the user was receiving raw transaction data without proper field separation, causing issues in Bubble. They needed the transactions grouped by date, with each date containing its respective transactions as an array.
The solution involved modifying the query and function stack to create the correct data structure. Steps included:
Using an aggregate function to group transactions by date.
Creating objects with date fields and transaction data arrays.
Debugging and testing the query output to ensure the correct structure.
After implementing these changes, the transaction data was correctly grouped by date, making it usable within Bubble's repeating groups.