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MrWaradana 389449d10a refactor: Implement equipment data services with dynamic SQL query generation and category rollup logic. 6 months ago
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__pycache__ feat: Implement upsert functionality for prediction data, updating existing records or inserting new ones, and remove the previous deletion of all predictions. 7 months ago
Eac.py refactor: Streamline actual data queries by removing labor details, add optional asset filtering, and update EAC disposal cost calculation. 7 months ago
Prediksi.py feat: Implement upsert functionality for prediction data, updating existing records or inserting new ones, and remove the previous deletion of all predictions. 7 months ago
acquisition_cost.csv update plant simulation 7 months ago
acquisition_cost_progress.csv update formula and top 10 remaining life 7 months ago
formula.py fix and add plant, formula and master data minor 8 months ago
insert_actual_data.py refactor: Streamline actual data queries by removing labor details, add optional asset filtering, and update EAC disposal cost calculation. 7 months ago
run.py refactor: Streamline actual data queries by removing labor details, add optional asset filtering, and update EAC disposal cost calculation. 7 months ago
where_query_sql.py refactor: Implement equipment data services with dynamic SQL query generation and category rollup logic. 6 months ago