diff --git a/lyrics_transcriber/transcribers/audioshake.py b/lyrics_transcriber/transcribers/audioshake.py index 7465742..aea54c0 100644 --- a/lyrics_transcriber/transcribers/audioshake.py +++ b/lyrics_transcriber/transcribers/audioshake.py @@ -14,9 +14,9 @@ class AudioShakeConfig: """Configuration for AudioShake transcription service.""" api_token: Optional[str] = None - base_url: str = "https://groovy.audioshake.ai" + base_url: str = "https://api.audioshake.ai" output_prefix: Optional[str] = None - timeout_minutes: int = 10 # Added timeout configuration + timeout_minutes: int = 20 # Added timeout configuration class AudioShakeAPI: @@ -34,46 +34,52 @@ def _validate_config(self) -> None: def _get_headers(self) -> Dict[str, str]: """Get headers for API requests.""" self._validate_config() # Validate before making any API calls - return {"Authorization": f"Bearer {self.config.api_token}", "Content-Type": "application/json"} + return {"x-api-key": self.config.api_token, "Content-Type": "application/json"} def upload_file(self, filepath: str) -> str: - """Upload audio file and return asset ID.""" + """Upload audio file and return file URL.""" self.logger.info(f"Uploading {filepath} to AudioShake") self._validate_config() # Validate before making API call url = f"{self.config.base_url}/upload/" with open(filepath, "rb") as file: files = {"file": (os.path.basename(filepath), file)} - response = requests.post(url, headers={"Authorization": self._get_headers()["Authorization"]}, files=files) + response = requests.post(url, headers={"x-api-key": self.config.api_token}, files=files) self.logger.debug(f"Upload response: {response.status_code} - {response.text}") response.raise_for_status() - return response.json()["id"] + return response.json()["link"] - def create_job(self, asset_id: str) -> str: - """Create transcription job and return job ID.""" - self.logger.info(f"Creating job for asset {asset_id}") + def create_task(self, file_url: str) -> str: + """Create transcription task and return task ID.""" + self.logger.info(f"Creating task for file {file_url}") - url = f"{self.config.base_url}/job/" + url = f"{self.config.base_url}/tasks" data = { - "metadata": {"format": "json", "name": "alignment", "language": "en"}, - "callbackUrl": "https://example.com/webhook/alignment", - "assetId": asset_id, + "url": file_url, + "targets": [ + { + "model": "alignment", + "formats": ["json"], + "language": "en" + } + ], } response = requests.post(url, headers=self._get_headers(), json=data) response.raise_for_status() - return response.json()["job"]["id"] + return response.json()["id"] - def wait_for_job_result(self, job_id: str) -> Dict[str, Any]: - """Poll for job completion and return results.""" - self.logger.info(f"Getting job result for job {job_id}") + def wait_for_task_result(self, task_id: str) -> Dict[str, Any]: + """Poll for task completion and return results.""" + self.logger.info(f"Getting task result for task {task_id}") - url = f"{self.config.base_url}/job/{job_id}" + # Use the list endpoint which has fresh data, not the individual task endpoint which caches + url = f"{self.config.base_url}/tasks" start_time = time.time() last_status_log = start_time timeout_seconds = self.config.timeout_minutes * 60 - # Add initial retry logic for 404 errors (job ID not yet available) + # Add initial retry logic for when task is not found yet initial_retry_count = 0 max_initial_retries = 5 initial_retry_delay = 2 # seconds @@ -94,28 +100,57 @@ def wait_for_job_result(self, job_id: str) -> Dict[str, Any]: try: response = requests.get(url, headers=self._get_headers()) response.raise_for_status() - job_data = response.json()["job"] + tasks_list = response.json() + + # Find our specific task in the list + task_data = None + for task in tasks_list: + if task.get("id") == task_id: + task_data = task + break + + if not task_data: + # Task not found in list yet + if initial_retry_count < max_initial_retries: + initial_retry_count += 1 + self.logger.info(f"Task not found in list yet (attempt {initial_retry_count}/{max_initial_retries}), retrying in {initial_retry_delay} seconds...") + time.sleep(initial_retry_delay) + continue + else: + raise TranscriptionError(f"Task {task_id} not found in task list after {max_initial_retries} retries") + + # Log the full response for debugging + self.logger.debug(f"Task status response: {task_data}") - if job_data["status"] == "completed": - return job_data - elif job_data["status"] == "failed": - raise TranscriptionError(f"Job failed: {job_data.get('error', 'Unknown error')}") + # Check status of targets (not the task itself) + targets = task_data.get("targets", []) + if not targets: + raise TranscriptionError("No targets found in task response") + + # Check if all targets are completed or if any failed + all_completed = True + for target in targets: + target_status = target.get("status") + target_model = target.get("model") + self.logger.debug(f"Target {target_model} status: {target_status}") + + if target_status == "failed": + error_msg = target.get("error", "Unknown error") + raise TranscriptionError(f"Target {target_model} failed: {error_msg}") + elif target_status != "completed": + all_completed = False + + if all_completed: + self.logger.info("All targets completed successfully") + return task_data # Reset retry count on successful response initial_retry_count = 0 except requests.exceptions.HTTPError as e: - if e.response.status_code == 404 and initial_retry_count < max_initial_retries: - # Job ID not yet available, retry with delay - initial_retry_count += 1 - self.logger.info(f"Job ID not yet available (attempt {initial_retry_count}/{max_initial_retries}), retrying in {initial_retry_delay} seconds...") - time.sleep(initial_retry_delay) - continue - else: - # Re-raise the error if it's not a 404 or we've exceeded retries - raise + raise - time.sleep(5) # Wait before next poll + time.sleep(30) # Wait before next poll class AudioShakeTranscriber(BaseTranscriber): @@ -142,13 +177,13 @@ def _perform_transcription(self, audio_filepath: str) -> TranscriptionData: self.logger.info(f"Starting transcription for {audio_filepath}") try: - # Start job and get results + # Start task and get results self.logger.debug("Calling start_transcription()") - job_id = self.start_transcription(audio_filepath) - self.logger.debug(f"Got job_id: {job_id}") + task_id = self.start_transcription(audio_filepath) + self.logger.debug(f"Got task_id: {task_id}") self.logger.debug("Calling get_transcription_result()") - result = self.get_transcription_result(job_id) + result = self.get_transcription_result(task_id) self.logger.debug("Got transcription result") return result @@ -157,46 +192,61 @@ def _perform_transcription(self, audio_filepath: str) -> TranscriptionData: raise def start_transcription(self, audio_filepath: str) -> str: - """Starts the transcription job and returns the job ID.""" + """Starts the transcription task and returns the task ID.""" self.logger.debug(f"Entering start_transcription() for {audio_filepath}") - # Upload file and create job - asset_id = self.api.upload_file(audio_filepath) - self.logger.debug(f"File uploaded successfully. Asset ID: {asset_id}") + # Upload file and create task + file_url = self.api.upload_file(audio_filepath) + self.logger.debug(f"File uploaded successfully. File URL: {file_url}") - job_id = self.api.create_job(asset_id) - self.logger.debug(f"Job created successfully. Job ID: {job_id}") + task_id = self.api.create_task(file_url) + self.logger.debug(f"Task created successfully. Task ID: {task_id}") - return job_id + return task_id - def get_transcription_result(self, job_id: str) -> Dict[str, Any]: - """Gets the raw results for a previously started job.""" - self.logger.debug(f"Entering get_transcription_result() for job ID: {job_id}") + def get_transcription_result(self, task_id: str) -> Dict[str, Any]: + """Gets the raw results for a previously started task.""" + self.logger.debug(f"Entering get_transcription_result() for task ID: {task_id}") - # Wait for job completion - job_data = self.api.wait_for_job_result(job_id) - self.logger.debug("Job completed. Getting results...") + # Wait for task completion + task_data = self.api.wait_for_task_result(task_id) + self.logger.debug("Task completed. Getting results...") - output_asset = next((asset for asset in job_data.get("outputAssets", []) if asset["name"] == "alignment.json"), None) - if not output_asset: - raise TranscriptionError("Required output not found in job results") + # Find the alignment target output + alignment_target = None + for target in task_data.get("targets", []): + if target.get("model") == "alignment": + alignment_target = target + break + + if not alignment_target: + raise TranscriptionError("Required output not found in task results") + + # Get the output file URL + output = alignment_target.get("output", []) + if not output: + raise TranscriptionError("No output found in alignment target") + + output_url = output[0].get("link") + if not output_url: + raise TranscriptionError("Output link not found in alignment target") # Fetch transcription data - response = requests.get(output_asset["link"]) + response = requests.get(output_url) response.raise_for_status() # Return combined raw data - raw_data = {"job_data": job_data, "transcription": response.json()} + raw_data = {"task_data": task_data, "transcription": response.json()} self.logger.debug("Raw results retrieved successfully") return raw_data def _convert_result_format(self, raw_data: Dict[str, Any]) -> TranscriptionData: """Process raw Audioshake API response into standard format.""" - self.logger.debug(f"Processing result for job {raw_data['job_data']['id']}") + self.logger.debug(f"Processing result for task {raw_data['task_data']['id']}") transcription_data = raw_data["transcription"] - job_data = raw_data["job_data"] + task_data = raw_data["task_data"] segments = [] all_words = [] # Collect all words across segments @@ -230,8 +280,8 @@ def _convert_result_format(self, raw_data: Dict[str, Any]) -> TranscriptionData: source=self.get_name(), metadata={ "language": transcription_data.get("metadata", {}).get("language"), - "job_id": job_data["id"], - "duration": job_data.get("statusInfo", {}).get("duration"), + "task_id": task_data["id"], + "duration": task_data.get("duration"), }, ) diff --git a/poetry.lock b/poetry.lock index 6614100..1532af9 100644 --- a/poetry.lock +++ b/poetry.lock @@ -63,24 +63,16 @@ files = [ [[package]] name = "attrs" -version = "25.3.0" +version = "25.4.0" description = "Classes Without Boilerplate" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" groups = ["main"] files = [ - {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"}, - {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"}, + {file = "attrs-25.4.0-py3-none-any.whl", hash = "sha256:adcf7e2a1fb3b36ac48d97835bb6d8ade15b8dcce26aba8bf1d14847b57a3373"}, + {file = "attrs-25.4.0.tar.gz", hash = "sha256:16d5969b87f0859ef33a48b35d55ac1be6e42ae49d5e853b597db70c35c57e11"}, ] -[package.extras] -benchmark = ["cloudpickle ; 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(>=1.98.0)", "optuna", "pandas (<2.3.0)", "parameterized (>=0.9)", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic (>=2)", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.13.1)", "ruff (==0.13.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (!=1.0.18,<=1.0.19)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "torch (>=2.2)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)", "urllib3 (<2.0.0)", "uvicorn"] flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"] flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] ftfy = ["ftfy"] -hf-xet = ["hf-xet"] +hf-xet = ["hf_xet"] hub-kernels = ["kernels (>=0.6.1,<=0.9)"] -integrations = ["kernels (>=0.6.1,<=0.9)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"] -ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"] +integrations = ["kernels (>=0.6.1,<=0.9)", "optuna", "ray[tune] (>=2.7.0)"] +ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"] mistral-common = ["mistral-common[opencv] (>=1.6.3)"] modelcreation = ["cookiecutter (==1.7.3)"] natten = ["natten (>=0.14.6,<0.15.0)"] @@ -4486,17 +4540,17 @@ onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"] open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "pandas (<2.3.0)", "rich", "ruff (==0.11.2)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "pandas (<2.3.0)", "rich", "ruff (==0.13.1)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (>=2.15.0)", "faiss-cpu"] -ruff = ["ruff (==0.11.2)"] +ruff = ["ruff (==0.13.1)"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["accelerate (>=0.26.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "starlette", "torch (>=2.2)", "uvicorn"] sigopt = ["sigopt"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "libcst", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "parameterized (>=0.9)", "psutil", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fastapi", "libcst", "mistral-common[opencv] (>=1.6.3)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "psutil", "pydantic (>=2)", "pydantic (>=2)", "pytest (>=7.2.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.13.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.2)", "uvicorn"] tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"] tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] @@ -4506,7 +4560,7 @@ tokenizers = ["tokenizers (>=0.22.0,<=0.23.0)"] torch = ["accelerate (>=0.26.0)", "torch (>=2.2)"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.34.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=0.34.0,<1.0)", "importlib_metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.22.0,<=0.23.0)", "torch (>=2.2)", "tqdm (>=4.27)"] video = ["av"] vision = ["Pillow (>=10.0.1,<=15.0)"] @@ -4568,14 +4622,14 @@ markers = {dev = "python_version < \"3.13\""} [[package]] name = "typing-inspection" -version = "0.4.1" +version = "0.4.2" description = "Runtime typing introspection tools" optional = false python-versions = ">=3.9" groups = ["main"] files = [ - {file = "typing_inspection-0.4.1-py3-none-any.whl", hash = "sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51"}, - {file = "typing_inspection-0.4.1.tar.gz", hash = "sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28"}, + {file = "typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7"}, + {file = "typing_inspection-0.4.2.tar.gz", hash = "sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464"}, ] [package.dependencies] diff --git a/pyproject.toml b/pyproject.toml index 5c25c2f..bef1680 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "lyrics-transcriber" -version = "0.71.0" +version = "0.72.0" description = "Automatically create synchronised lyrics files in ASS and MidiCo LRC formats with word-level timestamps, using Whisper and lyrics from Genius and Spotify" authors = ["Andrew Beveridge "] license = "MIT" diff --git a/tests/unit/transcribers/test_audioshake.py b/tests/unit/transcribers/test_audioshake.py index d242ea0..da48f02 100644 --- a/tests/unit/transcribers/test_audioshake.py +++ b/tests/unit/transcribers/test_audioshake.py @@ -25,7 +25,7 @@ class TestAudioShakeConfig: def test_default_config(self): config = AudioShakeConfig() assert config.api_token is None - assert config.base_url == "https://groovy.audioshake.ai" + assert config.base_url == "https://api.audioshake.ai" assert config.output_prefix is None def test_custom_config(self): @@ -48,115 +48,134 @@ def test_api_calls_without_token(self, mock_logger): with pytest.raises(ValueError, match="AudioShake API token must be provided"): api.upload_file("test.mp3") - # Test create_job + # Test create_task with pytest.raises(ValueError, match="AudioShake API token must be provided"): - api.create_job("asset123") + api.create_task("https://example.com/file.mp3") - # Test wait_for_job_result + # Test wait_for_task_result with pytest.raises(ValueError, match="AudioShake API token must be provided"): - api.wait_for_job_result("job123") + api.wait_for_task_result("task123") def test_get_headers(self, api): headers = api._get_headers() - assert headers["Authorization"] == "Bearer test_token" + assert headers["x-api-key"] == "test_token" assert headers["Content-Type"] == "application/json" @patch("requests.post") def test_upload_file(self, mock_post, api): mock_response = Mock() - mock_response.json.return_value = {"id": "asset123"} + mock_response.json.return_value = {"id": "asset123", "link": "https://example.com/file.mp3"} mock_post.return_value = mock_response with patch("builtins.open", mock_open(read_data="test data")): - asset_id = api.upload_file("test.mp3") + file_url = api.upload_file("test.mp3") - assert asset_id == "asset123" + assert file_url == "https://example.com/file.mp3" mock_post.assert_called_once() api.logger.info.assert_called_with("Uploading test.mp3 to AudioShake") @patch("requests.post") - def test_create_job(self, mock_post, api): + def test_create_task(self, mock_post, api): mock_response = Mock() - mock_response.json.return_value = {"job": {"id": "job123"}} + mock_response.json.return_value = {"id": "task123"} mock_post.return_value = mock_response - job_id = api.create_job("asset123") + task_id = api.create_task("https://example.com/file.mp3") - assert job_id == "job123" + assert task_id == "task123" mock_post.assert_called_once() - api.logger.info.assert_called_with("Creating job for asset asset123") + api.logger.info.assert_called_with("Creating task for file https://example.com/file.mp3") @patch("requests.get") - def test_wait_for_job_result_success(self, mock_get, api): + def test_wait_for_task_result_success(self, mock_get, api): mock_response = Mock() - mock_response.json.return_value = {"job": {"status": "completed", "data": "test"}} + # Return a list of tasks (as the /tasks endpoint does) + mock_response.json.return_value = [ + { + "id": "task123", + "targets": [{"model": "alignment", "status": "completed"}], + "data": "test" + } + ] mock_get.return_value = mock_response - result = api.wait_for_job_result("job123") + result = api.wait_for_task_result("task123") - assert result == {"status": "completed", "data": "test"} + assert result["id"] == "task123" + assert result["targets"][0]["status"] == "completed" mock_get.assert_called_once() @patch("requests.get") - def test_wait_for_job_result_failure(self, mock_get, api): + def test_wait_for_task_result_failure(self, mock_get, api): mock_response = Mock() - mock_response.json.return_value = {"job": {"status": "failed", "error": "test error"}} + mock_response.json.return_value = [ + { + "id": "task123", + "targets": [{"model": "alignment", "status": "failed", "error": "test error"}] + } + ] mock_get.return_value = mock_response - with pytest.raises(Exception, match="Job failed: test error"): - api.wait_for_job_result("job123") + with pytest.raises(Exception, match="Target alignment failed: test error"): + api.wait_for_task_result("task123") @patch("requests.get") @patch("time.sleep") - def test_wait_for_job_result_polling(self, mock_sleep, mock_get, api): + def test_wait_for_task_result_polling(self, mock_sleep, mock_get, api): """Test polling behavior with in-progress status before completion""" mock_responses = [ - Mock(json=lambda: {"job": {"status": "in_progress"}}), - Mock(json=lambda: {"job": {"status": "in_progress"}}), - Mock(json=lambda: {"job": {"status": "completed", "data": "test"}}), + Mock(json=lambda: [{"id": "task123", "targets": [{"model": "alignment", "status": "processing"}]}]), + Mock(json=lambda: [{"id": "task123", "targets": [{"model": "alignment", "status": "processing"}]}]), + Mock(json=lambda: [{"id": "task123", "targets": [{"model": "alignment", "status": "completed"}], "data": "test"}]), ] mock_get.side_effect = mock_responses - result = api.wait_for_job_result("job123") + result = api.wait_for_task_result("task123") - assert result == {"status": "completed", "data": "test"} + assert result["id"] == "task123" + assert result["targets"][0]["status"] == "completed" assert mock_get.call_count == 3 assert mock_sleep.call_count == 2 - mock_sleep.assert_called_with(5) + mock_sleep.assert_called_with(30) @patch("requests.get") - def test_wait_for_job_result_with_retries(self, mock_get, api): - """Test job result polling with network errors""" + def test_wait_for_task_result_with_retries(self, mock_get, api): + """Test task result polling with network errors""" mock_get.side_effect = requests.RequestException("Network error") with pytest.raises(requests.RequestException): - api.wait_for_job_result("job123") + api.wait_for_task_result("task123") assert mock_get.call_count == 1 # Verify we don't retry on error @patch("requests.get") @patch("time.time") - def test_wait_for_job_result_timeout(self, mock_time, mock_get, api): - """Test that job polling times out after configured duration""" + def test_wait_for_task_result_timeout(self, mock_time, mock_get, api): + """Test that task polling times out after configured duration""" mock_time.side_effect = [0, api.config.timeout_minutes * 60 + 1] # Simulate timeout - mock_get.return_value = Mock(json=lambda: {"job": {"status": "in_progress"}}) + mock_get.return_value = Mock(json=lambda: [ + { + "id": "task123", + "targets": [{"model": "alignment", "status": "processing"}] + } + ]) with pytest.raises(TranscriptionError, match=f"Transcription timed out after {api.config.timeout_minutes} minutes"): - api.wait_for_job_result("job123") + api.wait_for_task_result("task123") @patch("requests.get") @patch("time.time") @patch("time.sleep") - def test_wait_for_job_result_logs_status(self, mock_sleep, mock_time, mock_get, api): - """Test that job polling logs status periodically""" + def test_wait_for_task_result_logs_status(self, mock_sleep, mock_time, mock_get, api): + """Test that task polling logs status periodically""" mock_time.side_effect = [0, 30, 61, 90] # Simulate time passing mock_get.side_effect = [ - Mock(json=lambda: {"job": {"status": "in_progress"}}), - Mock(json=lambda: {"job": {"status": "in_progress"}}), - Mock(json=lambda: {"job": {"status": "completed", "data": "test"}}), + Mock(json=lambda: [{"id": "task123", "targets": [{"model": "alignment", "status": "processing"}]}]), + Mock(json=lambda: [{"id": "task123", "targets": [{"model": "alignment", "status": "processing"}]}]), + Mock(json=lambda: [{"id": "task123", "targets": [{"model": "alignment", "status": "completed"}], "data": "test"}]), ] - result = api.wait_for_job_result("job123") + result = api.wait_for_task_result("task123") # Verify periodic status logging api.logger.info.assert_any_call("Still waiting for transcription... Elapsed time: 1 minutes") @@ -173,14 +192,14 @@ def test_upload_file_failure(self, mock_post, api): api.logger.info.assert_called_with("Uploading test.mp3 to AudioShake") @patch("requests.post") - def test_create_job_failure(self, mock_post, api): - """Test create job with API error""" + def test_create_task_failure(self, mock_post, api): + """Test create task with API error""" mock_post.side_effect = requests.RequestException("Network error") with pytest.raises(requests.RequestException): - api.create_job("asset123") + api.create_task("https://example.com/file.mp3") - api.logger.info.assert_called_with("Creating job for asset asset123") + api.logger.info.assert_called_with("Creating task for file https://example.com/file.mp3") class TestAudioShakeTranscriber: @@ -214,22 +233,27 @@ def test_get_name(self, transcriber): assert transcriber.get_name() == "AudioShake" def test_start_transcription(self, transcriber, mock_api): - mock_api.upload_file.return_value = "asset123" - mock_api.create_job.return_value = "job123" + mock_api.upload_file.return_value = "https://example.com/file.mp3" + mock_api.create_task.return_value = "task123" - job_id = transcriber.start_transcription("test.mp3") + task_id = transcriber.start_transcription("test.mp3") - assert job_id == "job123" + assert task_id == "task123" mock_api.upload_file.assert_called_once_with("test.mp3") - mock_api.create_job.assert_called_once_with("asset123") + mock_api.create_task.assert_called_once_with("https://example.com/file.mp3") def test_get_transcription_result(self, transcriber, mock_api): - mock_job_data = { - "id": "job123", - "outputAssets": [{"name": "alignment.json", "link": "http://test.com/result"}], - "statusInfo": {"duration": 60.0}, + mock_task_data = { + "id": "task123", + "targets": [ + { + "model": "alignment", + "output": [{"link": "http://test.com/result"}] + } + ], + "duration": 60.0, } - mock_api.wait_for_job_result.return_value = mock_job_data + mock_api.wait_for_task_result.return_value = mock_task_data with patch("requests.get") as mock_get: mock_response = Mock() @@ -240,7 +264,7 @@ def test_get_transcription_result(self, transcriber, mock_api): } mock_get.return_value = mock_response - raw_data = {"job_data": mock_job_data, "transcription": mock_response.json()} + raw_data = {"task_data": mock_task_data, "transcription": mock_response.json()} result = transcriber._convert_result_format(raw_data) assert isinstance(result, TranscriptionData) @@ -249,13 +273,13 @@ def test_get_transcription_result(self, transcriber, mock_api): assert result.segments[0].text == "test" assert result.source == "AudioShake" assert result.metadata["language"] == "en" - assert result.metadata["job_id"] == "job123" + assert result.metadata["task_id"] == "task123" def test_convert_result_format_missing_asset(self, transcriber, mock_api): """Test that transcription fails when the required output asset is missing""" - job_data = {"id": "job123", "outputAssets": [{"name": "wrong.json", "link": "http://test.com/wrong"}]} + task_data = {"id": "task123", "targets": [{"model": "vocals", "output": [{"link": "http://test.com/wrong"}]}]} - raw_data = {"job_data": job_data, "transcription": {"metadata": {"language": "en"}}} + raw_data = {"task_data": task_data, "transcription": {"metadata": {"language": "en"}}} result = transcriber._convert_result_format(raw_data) assert isinstance(result, TranscriptionData) @@ -263,7 +287,7 @@ def test_convert_result_format_missing_asset(self, transcriber, mock_api): assert result.text == "" assert result.source == "AudioShake" assert result.metadata["language"] == "en" - assert result.metadata["job_id"] == "job123" + assert result.metadata["task_id"] == "task123" def test_transcribe_full_flow(self, transcriber, mock_api, tmp_path): # Clear the cache directory first @@ -277,11 +301,16 @@ def test_transcribe_full_flow(self, transcriber, mock_api, tmp_path): test_file.write_text("test content") # Set up mock API responses - mock_api.upload_file.return_value = "asset123" - mock_api.create_job.return_value = "job123" - mock_api.wait_for_job_result.return_value = { - "id": "job123", - "outputAssets": [{"name": "alignment.json", "link": "http://test.com/result"}], + mock_api.upload_file.return_value = "https://example.com/file.mp3" + mock_api.create_task.return_value = "task123" + mock_api.wait_for_task_result.return_value = { + "id": "task123", + "targets": [ + { + "model": "alignment", + "output": [{"link": "http://test.com/result"}] + } + ], } with patch("requests.get") as mock_get: @@ -307,7 +336,7 @@ def test_get_output_filename(self, transcriber): def test_convert_result_format_empty_segments(self, transcriber): """Test processing result with empty segment data""" - job_data = {"id": "job123", "outputAssets": [{"name": "alignment.json", "link": "http://test.com/result"}]} + task_data = {"id": "task123"} transcription_data = { "lines": [ {"text": "", "words": []}, # Empty words @@ -315,7 +344,7 @@ def test_convert_result_format_empty_segments(self, transcriber): ], "text": "test", } - raw_data = {"job_data": job_data, "transcription": transcription_data} + raw_data = {"task_data": task_data, "transcription": transcription_data} result = transcriber._convert_result_format(raw_data) @@ -327,8 +356,8 @@ def test_convert_result_format_empty_segments(self, transcriber): def test_convert_result_format_malformed_response(self, transcriber): """Test handling of malformed API responses""" - job_data = {"id": "job123", "outputAssets": [{"name": "alignment.json", "link": "http://test.com/result"}]} - raw_data = {"job_data": job_data, "transcription": {"metadata": {"language": "en"}}} + task_data = {"id": "task123"} + raw_data = {"task_data": task_data, "transcription": {"metadata": {"language": "en"}}} result = transcriber._convert_result_format(raw_data) @@ -337,7 +366,7 @@ def test_convert_result_format_malformed_response(self, transcriber): assert result.text == "" assert result.source == "AudioShake" assert result.metadata["language"] == "en" - assert result.metadata["job_id"] == "job123" + assert result.metadata["task_id"] == "task123" def test_transcribe_with_cache(self, transcriber, mock_api, tmp_path): # Clear the cache directory first @@ -351,11 +380,16 @@ def test_transcribe_with_cache(self, transcriber, mock_api, tmp_path): test_file.write_text("test content") # Set up mock API responses - mock_api.upload_file.return_value = "asset123" - mock_api.create_job.return_value = "job123" - mock_api.wait_for_job_result.return_value = { - "id": "job123", - "outputAssets": [{"name": "alignment.json", "link": "http://test.com/result"}], + mock_api.upload_file.return_value = "https://example.com/file.mp3" + mock_api.create_task.return_value = "task123" + mock_api.wait_for_task_result.return_value = { + "id": "task123", + "targets": [ + { + "model": "alignment", + "output": [{"link": "http://test.com/result"}] + } + ], } with patch("requests.get") as mock_get: @@ -397,30 +431,35 @@ def test_perform_transcription_error(self, transcriber, mock_api): def test_get_transcription_result_error(self, transcriber, mock_api): """Test get_transcription_result with missing output asset""" - mock_api.wait_for_job_result.return_value = { - "id": "job123", - "outputAssets": [{"name": "wrong.json", "link": "http://test.com/wrong"}], + mock_api.wait_for_task_result.return_value = { + "id": "task123", + "targets": [{"model": "vocals", "output": [{"link": "http://test.com/wrong"}]}], } with pytest.raises(TranscriptionError, match="Required output not found"): - transcriber.get_transcription_result("job123") + transcriber.get_transcription_result("task123") @patch("requests.get") def test_get_transcription_result_network_error(self, mock_get, transcriber, mock_api): """Test get_transcription_result with network error""" - mock_api.wait_for_job_result.return_value = { - "id": "job123", - "outputAssets": [{"name": "alignment.json", "link": "http://test.com/result"}], + mock_api.wait_for_task_result.return_value = { + "id": "task123", + "targets": [ + { + "model": "alignment", + "output": [{"link": "http://test.com/result"}] + } + ], } mock_get.side_effect = requests.RequestException("Network error") with pytest.raises(requests.RequestException): - transcriber.get_transcription_result("job123") + transcriber.get_transcription_result("task123") def test_convert_result_format_with_empty_data(self, transcriber): """Test _convert_result_format with minimal data""" raw_data = { - "job_data": {"id": "job123", "statusInfo": {}}, + "task_data": {"id": "task123"}, "transcription": {}, } @@ -429,16 +468,21 @@ def test_convert_result_format_with_empty_data(self, transcriber): assert result.text == "" assert result.segments == [] assert result.words == [] - assert result.metadata["job_id"] == "job123" + assert result.metadata["task_id"] == "task123" assert result.metadata["duration"] is None def test_perform_transcription_debug_logging(self, transcriber, mock_api, caplog): """Test debug logging in _perform_transcription""" - mock_api.upload_file.return_value = "asset123" - mock_api.create_job.return_value = "job123" - mock_api.wait_for_job_result.return_value = { - "id": "job123", - "outputAssets": [{"name": "alignment.json", "link": "http://test.com/result"}], + mock_api.upload_file.return_value = "https://example.com/file.mp3" + mock_api.create_task.return_value = "task123" + mock_api.wait_for_task_result.return_value = { + "id": "task123", + "targets": [ + { + "model": "alignment", + "output": [{"link": "http://test.com/result"}] + } + ], } with patch("requests.get") as mock_get: @@ -455,4 +499,4 @@ def test_perform_transcription_debug_logging(self, transcriber, mock_api, caplog # Verify debug logging calls transcriber.logger.debug.assert_any_call("Entering _perform_transcription() for test.mp3") transcriber.logger.debug.assert_any_call("Calling start_transcription()") - transcriber.logger.debug.assert_any_call("Got job_id: job123") + transcriber.logger.debug.assert_any_call("Got task_id: task123")