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Creating Stripe Test Data in Python
- Creating sufficient test data in Stripe for AI+data course to show how to build an AI chatbot by moving e-commerce data from Stripe into PGVector running on Supabase, via Airbyte PGVector connector to create OpenAI embeddings.
- A few sample datasets can be loaded by using the CLI fixtures command, but these did not fit the need for a larger dataset.
- Creating sample data in Stripe sandbox using the python client provided by Stripe.
- Functions were added for each of the data types in Stripe that were needed like sample customers, products, prices and purchases.
- Collab Python script is super easy to insert test data into Stripe with the help of API.
- Data can then be hooked up to Airbyte using the Connector Builder to map API endpoints to streams for each data type and set up a sync job.
- Problem solved! Collab Python script is super easy for the learner to insert test data into Stripe.
- Online or workshop learners can easily insert the substantial sample dataset available to interact with AI chatbot question.
- The data can be used for questions like “who made the cheapest purchase? How much did they pay, and what did they buy?“
- Random names for customers, products, and colors were generated in order to insert data into Stripe.
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