RideScan

Calculate Risk Scores

This endpoint calculates the risk scores for each uploaded file in a mission. It uses the trained model to evaluate potential issues or anomalies in the data.

Request Parameters

  • robot_name (string, required)
  • mission_name (string, required)
  • file_paths - data paths of files to analyze risk (list of strings, required)

Example Request

try:
  result = calculator.calculate_risk_scores(
    robot_name=robot_name,
    mission_name=mission_name,
    file_paths=inference_files,
  )
  print("Risk Scores calculated started successfully:")
except Exception as e:
  print(f"Risk score calculation failed: {e}")

Reading the risk scores

When the risk score calculation is completed after sometime, you can view the scores by calling the list_files function.

files = calculator.list_files(robot_name, mission_name)

for file in files:
  print(f"Filename: {file['original_filename']}, Risk Score: {file['risk_score']}")

Example Output

training_01.bag: 64.7
training_02.bag: 70.1

Want aggregated results for robots and missions?

You can use the list_robots and list_missions functions to get aggregated results for all robots and missions.

List Robots

robots = calculator.list_robots()
for robot in robots:
  print(f"Robot: {robot['name']}, Mission Count: {robot['mission_count']}, Risk Score: {robot['avg_risk_score']}")

List Missions

missions = calculator.list_missions()
for mission in missions:
  print(f"Mission: {mission['name']}, File Count: {mission['file_count']}, Risk Score: {mission['avg_risk_score']}")