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| import pytest | |
| from fastapi import UploadFile | |
| from io import BytesIO | |
| import os | |
| import torch | |
| from backend.db.task.models import TaskStatus | |
| from backend.tests.test_task_status import wait_for_task_completion, fetch_file_response | |
| from backend.tests.test_backend_config import ( | |
| get_client, setup_test_file, get_upload_file_instance, calculate_wer, | |
| TEST_BGM_SEPARATION_PARAMS, TEST_ANSWER, TEST_BGM_SEPARATION_OUTPUT_PATH | |
| ) | |
| def test_transcription_endpoint( | |
| get_upload_file_instance, | |
| bgm_separation_params: dict | |
| ): | |
| client = get_client() | |
| file_content = BytesIO(get_upload_file_instance.file.read()) | |
| get_upload_file_instance.file.seek(0) | |
| response = client.post( | |
| "/bgm-separation", | |
| files={"file": (get_upload_file_instance.filename, file_content, "audio/mpeg")}, | |
| params=bgm_separation_params | |
| ) | |
| assert response.status_code == 201 | |
| assert response.json()["status"] == TaskStatus.QUEUED | |
| task_identifier = response.json()["identifier"] | |
| assert isinstance(task_identifier, str) and task_identifier | |
| completed_task = wait_for_task_completion( | |
| identifier=task_identifier | |
| ) | |
| assert completed_task is not None, f"Task with identifier {task_identifier} did not complete within the " \ | |
| f"expected time." | |
| result = completed_task.json()["result"] | |
| assert "instrumental_hash" in result and result["instrumental_hash"] | |
| assert "vocal_hash" in result and result["vocal_hash"] | |
| file_response = fetch_file_response(task_identifier) | |
| assert file_response.status_code == 200, f"Fetching File Response has failed. Response is: {file_response}" | |
| with open(TEST_BGM_SEPARATION_OUTPUT_PATH, "wb") as file: | |
| file.write(file_response.content) | |
| assert os.path.exists(TEST_BGM_SEPARATION_OUTPUT_PATH) | |