import os from loguru import logger from pipecat.utils.run_context import set_current_run_id from api.services.storage import storage_fs async def upload_voicemail_audio_to_s3( _ctx, workflow_run_id: int, temp_file_path: str, s3_key: str, ): """Upload voicemail detection audio from temp file to S3. Handles voicemail-specific paths and doesn't update the workflow run's recording_url field. Args: _ctx: ARQ context (unused) workflow_run_id: The workflow run ID temp_file_path: Path to the temporary WAV file s3_key: The S3 key where the file should be uploaded """ run_id = str(workflow_run_id) set_current_run_id(run_id) logger.info(f"Starting voicemail audio upload to S3 from {temp_file_path}") try: # Verify temp file exists if not os.path.exists(temp_file_path): logger.error(f"Temp voicemail audio file not found: {temp_file_path}") raise FileNotFoundError( f"Temp voicemail audio file not found: {temp_file_path}" ) file_size = os.path.getsize(temp_file_path) logger.debug(f"Voicemail audio file size: {file_size} bytes") # Upload to S3 upload_ok = await storage_fs.aupload_file(temp_file_path, s3_key) if upload_ok: logger.info(f"Successfully uploaded voicemail audio to S3: {s3_key}") else: logger.error( f"Failed to upload voicemail audio to S3 for workflow {workflow_run_id}" ) raise Exception(f"S3 upload failed for {s3_key}") except Exception as e: logger.error( f"Error uploading voicemail audio to S3 for workflow {workflow_run_id}: {e}" ) raise finally: # Clean up temp file if os.path.exists(temp_file_path): try: os.remove(temp_file_path) logger.debug(f"Cleaned up temp voicemail audio file: {temp_file_path}") except Exception as e: logger.warning( f"Failed to clean up temp voicemail audio file {temp_file_path}: {e}" )