feat: discourse fetch raw data;

[polux0]

Summary by CodeRabbit

• New Features

  • Introduced classes for extracting raw data and member information from Discourse forums, enhancing the ability to retrieve detailed post and member data.
  • Implemented a new Apache Airflow DAG for the ETL process tailored to the Discourse platform, scheduled to run daily at 2 AM starting from May 1, 2024.
  • Enhanced data fetching capabilities for platform-specific data from a MongoDB database.

• Tests

  • Added comprehensive unit tests to validate the functionalities of the new classes for data extraction and member retrieval.

[coderabbitai[bot]]

Walkthrough

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.

Changes

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.

Poem

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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