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fix: date schema for telegram summary date index! #324

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merged 1 commit into from
Nov 11, 2024

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@amindadgar amindadgar commented Nov 11, 2024

Summary by CodeRabbit

  • New Features

    • Improved handling of date information for summary data extraction.
  • Bug Fixes

    • Enhanced control flow for invoking the correct extraction method based on DAG type.

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coderabbitai bot commented Nov 11, 2024

Walkthrough

The changes in the pull request primarily involve modifications to the create_telegram_dag function in the dags/hivemind_telegram_etl.py file. The date_schema variable is updated for the "summaries" DAG type, shifting from models.PayloadSchemaType.TEXT to models.PayloadSchemaType.DATETIME. Additionally, the control flow in the processor function is refined to ensure the correct extraction method is used based on the dag_type. The overall structure and task dependencies of the DAG remain unchanged.

Changes

File Path Change Summary
dags/hivemind_telegram_etl.py - Updated date_schema for "summaries" DAG type from TEXT to DATETIME.
- Refined control flow in processor function for correct extraction method based on dag_type.

Possibly related PRs

Poem

🐰 In the fields where data flows,
A rabbit hops where knowledge grows.
With dates now clear, the summaries shine,
In telegrams, the messages align.
Through changes made, our path is bright,
Hooray for data, our guiding light! 🌟


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Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (1)
dags/hivemind_telegram_etl.py (1)

108-108: Consider data migration needs for existing records.

The schema change from TEXT to DATETIME might affect existing records in the vector store.

Consider the following recommendations:

  1. Verify if existing summary records need migration from TEXT to DATETIME format
  2. Plan a migration strategy if needed:
    • Create a one-time migration script
    • Consider adding version tracking to handle schema changes
  3. Add error handling for potential format mismatches during the transition

Would you like assistance in creating a migration plan or script?

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between d48eaa5 and 6f116a9.

📒 Files selected for processing (1)
  • dags/hivemind_telegram_etl.py (1 hunks)
🔇 Additional comments (1)
dags/hivemind_telegram_etl.py (1)

108-108: Appropriate schema change for date handling.

Changing to PayloadSchemaType.DATETIME is the correct approach for the date field, as it enables proper date-based operations and comparisons.

Let's verify the date handling in related components:

Consider adding a comment documenting the expected date format to ensure consistent handling across the pipeline.

Add a comment above the date_schema assignment:

+                # Date field must be in ISO format for proper DATETIME handling
                 date_schema = models.PayloadSchemaType.DATETIME
✅ Verification successful

Let me analyze the results and generate the final response based on the date handling patterns found in the codebase:

Schema change is compatible with existing date handling

The codebase consistently handles dates in ISO format:

  • Telegram summaries use strftime("%Y-%m-%d") format for dates in transform/summary.py
  • Date parsing utilities support ISO format through datetime.fromisoformat()
  • The schema change aligns with the existing date handling patterns
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check date handling in transformer and related files

# Check how dates are formatted in the TransformSummary class
rg -A 5 "class TransformSummary" 

# Check for date format patterns in the codebase
rg -g '!*.{json,md,txt}' -A 3 'strftime|strptime|datetime.fromisoformat|parse_date'

Length of output: 46426

@amindadgar amindadgar merged commit 8b859b8 into main Nov 11, 2024
14 checks passed
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