Debugged and Enhanced Debt Resolution Functions

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Debugged and Enhanced Debt Resolution Functions

  • Day: 2026-03-27
  • Time: 23:40 to 00:00
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Debugging, Debt Management, Python, Data Processing, Bug Analysis

Description

Session Goal

The primary objective of this session was to debug and enhance the debt resolution functions within the existing Python scripts, focusing on the resolve_repayments and build_ledger_base() functions.

Key Activities

  • Debugging resolve_repayments: The session began with debugging the resolve_repayments function, where a verbose version was suggested to trace issues in the repayment allocation process.
  • Debt Assignment Diagnosis: A detailed analysis was conducted to identify why the debt assignment script was malfunctioning, pinpointing the absence of opening debt rows in the filtered ledger as a critical issue.
  • Data Structure Analysis: The session included diagnosing debt between PM and MI, identifying necessary data structures for effective processing.
  • Adjusting build_ledger_base(): Adjustments were made to the build_ledger_base() function to support internal debt resolution without status filtering, ensuring the integrity of the accounting pipeline.
  • Loading and Previewing Data: Multiple CSV files related to debt management were loaded into pandas DataFrames, with initial previews conducted to verify data integrity.
  • Debt Data Analysis: A comprehensive script was executed to analyze various aspects of debt data, including open items, allocations, repayments, and reconciliations.
  • Bug Analysis: The session concluded with an analysis of a critical bug in the debt allocation engine, focusing on the chronological integrity of repayments.

Achievements

  • Successfully debugged and enhanced the resolve_repayments function.
  • Identified and proposed solutions for the debt assignment issue.
  • Implemented necessary adjustments to the build_ledger_base() function.
  • Conducted initial data loading and analysis to ensure data readiness.

Pending Tasks

  • Further validation of the proposed solutions for debt assignment issues.
  • Implementation of structural improvements in the debt allocation engine to address the identified bug.

Evidence

  • source_file=2026-03-27.sessions.jsonl, line_number=1, event_count=0, session_id=226c72fffa2b6c8a3a5300d7a0d72dd82dfbabad483ef3a4062ac6d15208e5e0
  • event_ids: []

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