def process_sample()

in api/run_eval.py [0:0]

• 41 lines of code
• 7 McCabe index (conditional complexity)

    def process_sample(sample):
        if use_url:
            reference = sample["row"]["text"].strip() or " "
            audio_duration = sample["row"]["audio_length_s"]
            start = time.time()
            try:
                transcription = transcribe_with_retry(
                    model_name, None, sample, use_url=True
                )
            except Exception as e:
                print(f"Failed to transcribe after retries: {e}")
                return None

        else:
            reference = sample.get("norm_text", "").strip() or " "
            with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmpfile:
                sf.write(
                    tmpfile.name,
                    sample["audio"]["array"],
                    sample["audio"]["sampling_rate"],
                    format="WAV",
                )
                tmp_path = tmpfile.name
                audio_duration = (
                    len(sample["audio"]["array"]) / sample["audio"]["sampling_rate"]
                )

            start = time.time()
            try:
                transcription = transcribe_with_retry(
                    model_name, tmp_path, sample, use_url=False
                )
            except Exception as e:
                print(f"Failed to transcribe after retries: {e}")
                os.unlink(tmp_path)
                return None
            finally:
                if os.path.exists(tmp_path):
                    os.unlink(tmp_path)
                else:
                    print(f"File {tmp_path} does not exist")

        transcription_time = time.time() - start
        return reference, transcription, audio_duration, transcription_time