| import normalize as norm |
| import importlib |
|
|
| importlib.reload(norm) |
|
|
|
|
| def normalize_payload( |
| material_cost_matrix, |
| material_amount_matrix, |
| employee_cost_matrix, |
| employee_duration_matrix, |
| employee_day_amount_matrix, |
| capital_cost_matrix, |
| day_amount_matrix, |
| capital_cost_duration_matrix, |
| validation_payload, |
| display_log=False, |
| ): |
| max_data = {} |
| min_data = {} |
| |
| max_arr, min_arr = norm.find_max_min(material_cost_matrix) |
| normalized_material_cost = norm.normalized( |
| material_cost_matrix, max_arr, min_arr) |
| validate_material_cost_matrix = validation_payload["validate_material_cost_matrix"] |
|
|
| |
| normalized_validate_material_cost = norm.normalized_2d( |
| validate_material_cost_matrix, material_cost_matrix, max_arr, min_arr |
| ) |
| max_data["material_cost"] = max_arr |
| min_data["material_cost"] = min_arr |
|
|
| |
| max_arr, min_arr = norm.find_max_min(material_amount_matrix) |
| normalized_material_amount = norm.normalized( |
| material_amount_matrix, max_arr, min_arr |
| ) |
| validate_material_amount_matrix = validation_payload[ |
| "validate_material_amount_matrix" |
| ] |
|
|
| if display_log: |
| print("normalized_material_amount", normalized_material_amount) |
| print("------------") |
| print("normalized_material_cost", normalized_material_cost) |
| print("------------") |
|
|
| normalized_validate_material_amount = norm.normalized_2d( |
| validate_material_amount_matrix, material_amount_matrix, max_arr, min_arr |
| ) |
| max_data["material_amount"] = max_arr |
| min_data["material_amount"] = min_arr |
|
|
| |
| max_arr, min_arr = norm.find_max_min(employee_cost_matrix) |
| normalized_employee_cost = norm.normalized( |
| employee_cost_matrix, max_arr, min_arr) |
| validate_employee_cost_matrix = validation_payload["validate_employee_cost_matrix"] |
| normalized_validate_employee_cost = norm.normalized( |
| validate_employee_cost_matrix, max_arr, min_arr |
| ) |
| max_data["employee_cost"] = max_arr |
| min_data["employee_cost"] = min_arr |
|
|
| |
| max_arr, min_arr = norm.find_max_min(employee_duration_matrix) |
| normalized_employee_duration = norm.normalized( |
| employee_duration_matrix, max_arr, min_arr |
| ) |
| validate_employee_duration_matrix = validation_payload[ |
| "validate_employee_duration_matrix" |
| ] |
| normalized_validate_employee_duration = norm.normalized( |
| validate_employee_duration_matrix, |
| max_arr, |
| min_arr, |
| ) |
| max_data["employee_duration"] = max_arr |
| min_data["employee_duration"] = min_arr |
|
|
| |
| max_arr, min_arr = norm.find_max_min(employee_day_amount_matrix) |
| normalized_employee_day_amount = norm.normalized( |
| employee_day_amount_matrix, max_arr, min_arr |
| ) |
| validate_employee_day_amount_matrix = validation_payload[ |
| "validate_employee_day_amount_matrix" |
| ] |
| normalized_validate_employee_day_amount = norm.normalized( |
| validate_employee_day_amount_matrix, |
| max_arr, |
| min_arr, |
| ) |
| max_data["employee_day_amount"] = max_arr |
| min_data["employee_day_amount"] = min_arr |
|
|
| |
| max_arr, min_arr = norm.find_max_min(capital_cost_matrix) |
| normalized_capital_cost = norm.normalized( |
| capital_cost_matrix, max_arr, min_arr) |
| validate_capital_cost_matrix = validation_payload["validate_capital_cost_matrix"] |
| normalized_validate_capital_cost = norm.normalized( |
| validate_capital_cost_matrix, max_arr, min_arr |
| ) |
| max_data["capital_cost"] = max_arr |
| min_data["capital_cost"] = min_arr |
|
|
| |
| max_arr, min_arr = norm.find_max_min(day_amount_matrix) |
| normalized_day_amount = norm.normalized( |
| day_amount_matrix, max_arr, min_arr) |
| validate_day_amount_matrix = validation_payload["validate_day_amount_matrix"] |
| normalized_validate_day_amount = norm.normalized( |
| validate_day_amount_matrix, max_arr, min_arr |
| ) |
| max_data["day_amount"] = max_arr |
| min_data["day_amount"] = min_arr |
|
|
| |
| validate_capital_duration_matrix = validation_payload[ |
| "validate_capital_duration_matrix" |
| ] |
| max_arr, min_arr = norm.find_max_min(capital_cost_duration_matrix) |
| normalized_capital_cost_duration = norm.normalized( |
| capital_cost_duration_matrix, max_arr, min_arr |
| ) |
| normalized_validate_capital_duration = norm.normalized( |
| validate_capital_duration_matrix, max_arr, min_arr |
| ) |
| max_data["capital_cost_duration"] = max_arr |
| min_data["capital_cost_duration"] = min_arr |
|
|
| return ( |
| normalized_material_cost, |
| normalized_material_amount, |
| normalized_validate_material_cost, |
| normalized_validate_material_amount, |
| normalized_employee_cost, |
| normalized_employee_duration, |
| normalized_employee_day_amount, |
| normalized_validate_employee_cost, |
| normalized_validate_employee_duration, |
| normalized_validate_employee_day_amount, |
| normalized_capital_cost, |
| normalized_capital_cost_duration, |
| normalized_day_amount, |
| normalized_validate_capital_cost, |
| normalized_validate_capital_duration, |
| normalized_validate_day_amount, |
| max_data, |
| min_data, |
| ) |
|
|
|
|
| def normalize_prediction_payload( |
| max_data, |
| min_data, |
| material_cost_matrix, |
| material_amount_matrix, |
| employee_cost_matrix, |
| employee_duration_matrix, |
| employee_day_amount_matrix, |
| capital_cost_matrix, |
| day_amount_matrix, |
| capital_cost_duration_matrix, |
| ): |
| |
| max_arr, min_arr = norm.find_max_min(material_cost_matrix) |
| normalized_material_cost = norm.normalized( |
| material_cost_matrix, max_arr, min_arr) |
| validate_material_cost_matrix = validation_payload["validate_material_cost_matrix"] |
|
|
| |
| normalized_validate_material_cost = norm.normalized_2d( |
| validate_material_cost_matrix, material_cost_matrix, max_arr, min_arr |
| ) |
| max_data["material_cost"] = max_arr |
| min_data["material_cost"] = min_arr |
|
|
| |
| max_arr, min_arr = norm.find_max_min(material_amount_matrix) |
| normalized_material_amount = norm.normalized( |
| material_amount_matrix, max_arr, min_arr |
| ) |
| validate_material_amount_matrix = validation_payload[ |
| "validate_material_amount_matrix" |
| ] |
|
|
| if display_log: |
| print("normalized_material_amount", normalized_material_amount) |
| print("------------") |
| print("normalized_material_cost", normalized_material_cost) |
| print("------------") |
|
|
| normalized_validate_material_amount = norm.normalized_2d( |
| validate_material_amount_matrix, material_amount_matrix, max_arr, min_arr |
| ) |
| max_data["material_amount"] = max_arr |
| min_data["material_amount"] = min_arr |
|
|
| |
| max_arr, min_arr = norm.find_max_min(employee_cost_matrix) |
| normalized_employee_cost = norm.normalized( |
| employee_cost_matrix, max_arr, min_arr) |
| validate_employee_cost_matrix = validation_payload["validate_employee_cost_matrix"] |
| normalized_validate_employee_cost = norm.normalized( |
| validate_employee_cost_matrix, max_arr, min_arr |
| ) |
| max_data["employee_cost"] = max_arr |
| min_data["employee_cost"] = min_arr |
|
|
| |
| max_arr, min_arr = norm.find_max_min(employee_duration_matrix) |
| normalized_employee_duration = norm.normalized( |
| employee_duration_matrix, max_arr, min_arr |
| ) |
| validate_employee_duration_matrix = validation_payload[ |
| "validate_employee_duration_matrix" |
| ] |
| normalized_validate_employee_duration = norm.normalized( |
| validate_employee_duration_matrix, |
| max_arr, |
| min_arr, |
| ) |
| max_data["employee_duration"] = max_arr |
| min_data["employee_duration"] = min_arr |
|
|
| |
| max_arr, min_arr = norm.find_max_min(employee_day_amount_matrix) |
| normalized_employee_day_amount = norm.normalized( |
| employee_day_amount_matrix, max_arr, min_arr |
| ) |
| validate_employee_day_amount_matrix = validation_payload[ |
| "validate_employee_day_amount_matrix" |
| ] |
| normalized_validate_employee_day_amount = norm.normalized( |
| validate_employee_day_amount_matrix, |
| max_arr, |
| min_arr, |
| ) |
| max_data["employee_day_amount"] = max_arr |
| min_data["employee_day_amount"] = min_arr |
|
|
| |
| max_arr, min_arr = norm.find_max_min(capital_cost_matrix) |
| normalized_capital_cost = norm.normalized( |
| capital_cost_matrix, max_arr, min_arr) |
| validate_capital_cost_matrix = validation_payload["validate_capital_cost_matrix"] |
| normalized_validate_capital_cost = norm.normalized( |
| validate_capital_cost_matrix, max_arr, min_arr |
| ) |
| max_data["capital_cost"] = max_arr |
| min_data["capital_cost"] = min_arr |
|
|
| |
| max_arr, min_arr = norm.find_max_min(day_amount_matrix) |
| normalized_day_amount = norm.normalized( |
| day_amount_matrix, max_arr, min_arr) |
| validate_day_amount_matrix = validation_payload["validate_day_amount_matrix"] |
| normalized_validate_day_amount = norm.normalized( |
| validate_day_amount_matrix, max_arr, min_arr |
| ) |
| max_data["day_amount"] = max_arr |
| min_data["day_amount"] = min_arr |
|
|
| |
| validate_capital_duration_matrix = validation_payload[ |
| "validate_capital_duration_matrix" |
| ] |
| max_arr, min_arr = norm.find_max_min(capital_cost_duration_matrix) |
| normalized_capital_cost_duration = norm.normalized( |
| capital_cost_duration_matrix, max_arr, min_arr |
| ) |
| normalized_validate_capital_duration = norm.normalized( |
| validate_capital_duration_matrix, max_arr, min_arr |
| ) |
| max_data["capital_cost_duration"] = max_arr |
| min_data["capital_cost_duration"] = min_arr |
|
|
| return ( |
| normalized_material_cost, |
| normalized_material_amount, |
| normalized_validate_material_cost, |
| normalized_validate_material_amount, |
| normalized_employee_cost, |
| normalized_employee_duration, |
| normalized_employee_day_amount, |
| normalized_validate_employee_cost, |
| normalized_validate_employee_duration, |
| normalized_validate_employee_day_amount, |
| normalized_capital_cost, |
| normalized_capital_cost_duration, |
| normalized_day_amount, |
| normalized_validate_capital_cost, |
| normalized_validate_capital_duration, |
| normalized_validate_day_amount, |
| max_data, |
| min_data, |
| ) |
|
|
