Refactored cost optimization function for store placement

📅 2023-09-20 — Session: Refactored cost optimization function for store placement

🕒 18:00–18:20
🏷️ Labels: Python, Optimization, Error Handling, Recursion, Algorithm
📂 Project: Dev
⭐ Priority: MEDIUM

The session aimed to optimize the function calcular_distancia_acumulada to accurately calculate the cost for determining the best store locations.

Analyzed the existing function calcular_distancia_acumulada, identifying errors related to cost calculation using virtual suppliers instead of real stores.
Modified the function to compute distances between each post and its nearest supplier, integrating this logic into the main function costo_minimo_desde_.
Corrected the costo_minimo_desde_ function to ensure a valid list of stores is passed, fixing an error where verbose was used incorrectly.
Addressed a recursive function error by adding a condition to return 0 if the list of stores is empty.
Proposed corrections to ensure the accumulated cost is calculated correctly from the start to the current store, excluding posts with existing stores.

Successfully refactored the function to improve the calculation of accumulated costs for store placement.
Implemented error handling to prevent issues with empty lists in recursive functions.

Further optimization is required to achieve an optimal minimum cost for store placement.