From the course: Build with AI: Data Pipelines with Cursor, Neon, and Streamlit

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Consolidate pipeline logic

Consolidate pipeline logic

From the course: Build with AI: Data Pipelines with Cursor, Neon, and Streamlit

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Consolidate pipeline logic

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- [Instructor] When we write code for our data pipeline, we want our code to be eventually unified and well-organized and easy to manage. Until now, we have basically implemented all the steps that we want for our data pipeline. We can get data on papers from the OpenAlex API, we can create the database table if needed, load the papers into the table with deduplication, and then run data tests on this pipeline. And this is all great, but we have implemented these steps separately and now they are implemented in a bunch of disconnected Python scripts. So what we want to do now is to reorganize our code in a way that's much cleaner and clearer. So I've written a prompt for my agent, and I'm asking to consolidate our logic into a pipeline class that is also a script, and it will go through all the steps in the pipeline that I mentioned, and I'm making sure that the agent uses existing logic instead of trying to rewrite…

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