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TogetherCrew / airflow-dags

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feat: creating telegram summary date index on timestamp data! #321

Closed amindadgar closed 6 days ago

amindadgar commented 6 days ago

Summary by CodeRabbit

coderabbitai[bot] commented 6 days ago

[!CAUTION]

Review failed

The pull request is closed.

Walkthrough

The changes in this pull request focus on the dags/hivemind_telegram_etl.py file, specifically modifying the processor function within the create_telegram_dag factory function. The date_schema variable is now consistently set to models.PayloadSchemaType.FLOAT for both message and summary processing. The logic for message extraction has been refined, introducing conditional checks based on latest_date and dag_type, affecting how data is retrieved for messages and summaries. The overall structure and task dependencies of the DAG remain unchanged.

Changes

File Path Change Summary
dags/hivemind_telegram_etl.py - Modified processor function to set date_schema to models.PayloadSchemaType.FLOAT for both processing types.
- Refined message extraction logic with conditional checks based on latest_date and dag_type.

Possibly related PRs

🐰 In the land of code, where rabbits hop,
Changes were made, and we won’t stop!
With schemas set right, and messages clear,
Our DAG now dances, let’s give a cheer!
From dates we extract, both old and new,
Hooray for the changes, we’re coding anew! 🌟

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