def process_files()

in read_stall_retry/max_latency_per_pod.py [0:0]

• 31 lines of code
• 9 McCabe index (conditional complexity)

def process_files(path):
    """Processes CSV files in a GCS directory and calculates max overall latency."""
    try:
        client = storage.Client()
        bucket_name, blob_prefix = path.replace("gs://", "").split("/", 1)
        bucket = client.bucket(bucket_name)

        blobs = bucket.list_blobs(prefix=blob_prefix, delimiter='/')

        global_max_latency = 0
        global_max_latency_file = None
        global_max_latency_object = None

        futures = []
        with ThreadPoolExecutor() as executor:
            for blob in blobs:
                if blob.name.endswith('.csv') and '/' not in blob.name[len(blob_prefix):]:
                    logger.info(f"Processing file: {blob.name}")
                    futures.append(executor.submit(process_csv_blob, blob))

            for future in as_completed(futures):
                max_latency, max_latency_object, file_name = future.result()
                if max_latency is not None:
                    logger.info(f"  Max Overall Latency in {file_name}: {max_latency}, Object Name: {max_latency_object}")
                    if max_latency > global_max_latency:
                        global_max_latency = max_latency
                        global_max_latency_file = file_name
                        global_max_latency_object = max_latency_object

        if global_max_latency > 0:
            logger.info(f"\nGlobal Max Overall Latency: {global_max_latency}")
            logger.info(f"File Name: {global_max_latency_file}")
            logger.info(f"Object Name: {global_max_latency_object}")
        else:
            logger.info("\nNo valid latency values found.")

    except Exception as e:
        logger.error(f"Error processing GCS files: {e}")