robocorp-log

import os from robocorp.log import setup_auto_logging, add_log_output from pathlib import Path import shutil # Define a directory for log output log_output_dir = Path("temp_robocorp_log_output") # Ensure the log directory is clean before starting if log_output_dir.exists(): shutil.rmtree(log_output_dir) log_output_dir.mkdir(parents=True, exist_ok=True) # Add the log output target. This is crucial for logs to be written to a file. add_log_output(log_output_dir) # Manually set up auto-logging. # In a Robocorp-managed run (e.g., Robocorp Lab/Assistant), this is often automatic. setup_auto_logging() def process_data(value: str, count: int): """A sample function to demonstrate automatic logging.""" print(f"Processing value: {value} for {count} times") intermediate_result = f"Transformed_{value}" final_result = f"{intermediate_result}_{count}" if count > 1: print("Simulating a loop...") for i in range(count): print(f" Iteration {i+1}") return final_result if __name__ == "__main__": # Use environment variable for example input, common in automation input_value = os.environ.get('ROBOCORP_LOG_TEST_VALUE', 'sample_item') input_count = int(os.environ.get('ROBOCORP_LOG_TEST_COUNT', '1')) print(f"Starting demonstration with value='{input_value}', count={input_count}") result = process_data(input_value, input_count) print(f"Demonstration finished. Result: {result}") print(f"\nLogs (e.g., .robocorp_log, .html) can be found in: {log_output_dir.absolute()}") print("To view structured logs, use Robocorp Lab or a compatible viewer.")