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Dynamic Date Handling Refactor in Inference and Precompute Scripts

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Dynamic Date Handling Refactor in Inference and Precompute Scripts

Summary

This process involved a targeted refactoring of the Sokrates codebase to eliminate hardcoded temporal values in the inference and data precomputation pipelines. By replacing static year and month values with dynamic logic using the Python datetime module, the system’s age calculations and quarterly reporting were made resilient to the passage of time.

Details

During development, it was identified that inference.py and precompute.py contained hardcoded integers for temporal variables, specifically referencing “2026” and month “3”. These hardcoded values were used in logic involving age calculations and quarterly data partitioning. Left unaddressed, these values would have resulted in increasingly inaccurate inference results and data drift as the actual system time moved beyond the hardcoded window.

The refactoring process followed a standard identification and remediation workflow:

  1. Discovery: Using grep, the developer located instances of hardcoded date values within the repository, specifically targeting inference.py and precompute.py.
  2. Implementation in inference.py: The static assignments for year and month were replaced with dynamic calls. The logic was updated to use datetime.now().year and datetime.now().month to ensure that any inference performed by the agent or the Eidos API reflects the current temporal context.
  3. Implementation in precompute.py: Similar hardcoding was found in the precomputation logic used for preparing datasets or knowledge graph embeddings. The datetime module was imported, and the script was updated to calculate the current quarter and year dynamically. This is particularly critical for the “age” calculation features used in the project’s data models.
  4. Verification: After the edits, the developer executed the scripts via the terminal to ensure that the datetime import was correctly placed and that the logic for year/month/quarter/age calculation did not trigger runtime errors or regressions.

This change ensures that the Sokrates stack maintains consistency in its temporal observations without requiring manual code updates at the start of new calendar periods.

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