Closed polux0 closed 1 month ago
The changes enhance the dags/analyzer_helper
module by introducing robust functionalities for extracting and managing data from Discourse forums and Neo4j databases. A new ETL Directed Acyclic Graph (DAG) automates these operations, complemented by extensive unit tests to ensure the reliability and accuracy of the data pipeline.
Files/Paths | Change Summary |
---|---|
dags/analyzer_helper/discourse/extract_raw_data.py dags/analyzer_helper/discourse/extract_raw_members.py |
Added classes for extracting raw post and member data from Discourse, featuring methods for fetching, combining, and processing information efficiently. |
dags/analyzer_helper/tests/integration/test_discourse_extract_raw_data.py |
Introduced a new test file with comprehensive unit tests for the extraction functionalities of raw post data, validating the methods' performance and correctness. |
dags/discourse_analyzer_etl.py |
Implemented a new ETL DAG to automate the extraction, transformation, and loading of data from Discourse platforms, scheduled for daily runs with clearly defined tasks for improved data management. |
dags/analyzer_helper/common/fetch_platforms.py |
Added a class to interact with MongoDB for retrieving platform-specific data, including methods for fetching all records and analyzer parameters. |
In the code, we weave and spin,
Data flows where tasks begin.
Extract, transform, and then load,
Into databases, stories are told.
Discourse data, clean and bright,
Analyzed in the dead of night.
Oh, the rabbit dances in delight! 🐇✨
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Summary by CodeRabbit
New Features
Tests