diff --git a/workers/asr-worker/asr_worker/activities.py b/workers/asr-worker/asr_worker/activities.py index 00026b1..5453761 100644 --- a/workers/asr-worker/asr_worker/activities.py +++ b/workers/asr-worker/asr_worker/activities.py @@ -9,15 +9,14 @@ from aiofile import async_open from caul_core import ( - ASRResult, InferenceRunner, InferenceRunnerConfig, Postprocessor, PostprocessorConfig, - PreprocessedInput, Preprocessor, PreprocessorConfig, ) +from caul_core.objects import ASRResult, PreprocessedInput from datashare_python.dependencies import lifespan_es_client, lifespan_worker_config from datashare_python.objects import DocRoute, Document from datashare_python.types_ import ( @@ -428,6 +427,14 @@ def _preprocess( logger.debug("writing batch to %s", batch_file) with batch_file.open("w") as f: for processed in batch: + if processed.metadata.error is not None: + logger.error( + "PreprocessedInput '%s' was not properly decoded with" + "error '%s'. Skipping.", + processed.metadata.input_file_path, + processed.metadata.error, + ) + continue f.write(processed.model_dump_json() + "\n") yield batch_file diff --git a/workers/asr-worker/asr_worker/objects.py b/workers/asr-worker/asr_worker/objects.py index 22cfb9d..a7046a5 100644 --- a/workers/asr-worker/asr_worker/objects.py +++ b/workers/asr-worker/asr_worker/objects.py @@ -1,9 +1,10 @@ import math from collections import defaultdict from functools import cache -from typing import Any, ClassVar, Self +from typing import Annotated, Any, ClassVar, Self from caul_core import ASRPipelineConfig, ASRResult +from caul_core.config import BaseInferenceRunnerConfig from caul_core.objects import ASRLanguage, ASRModel from datashare_python.objects import ( ArtifactType, @@ -12,7 +13,16 @@ ManifestEntry, TaskArgs, ) -from pydantic import Field, RootModel +from icij_common.pydantic_utils import make_enum_discriminator, tagged_union +from pydantic import Discriminator, Field, RootModel + +model_discriminator = make_enum_discriminator("model", ASRModel) +InferenceRunnerConfig = Annotated[ + tagged_union( + BaseInferenceRunnerConfig.__subclasses__(), lambda t: t.model.default.value + ), + Discriminator(model_discriminator), +] DocumentSearchQuery = dict[str, Any] DocId = str diff --git a/workers/asr-worker/pyproject.toml b/workers/asr-worker/pyproject.toml index 9a31527..d1c8964 100644 --- a/workers/asr-worker/pyproject.toml +++ b/workers/asr-worker/pyproject.toml @@ -11,7 +11,7 @@ readme = "README.md" requires-python = ">=3.11.0, <3.13" dependencies = [ "datashare-python~=0.10.0", - "caul-core==0.3.1", + "caul-core==0.4.0", ] [project.scripts] @@ -30,7 +30,7 @@ gpu = [ "torchcodec==0.10.0+cu129; sys_platform == 'linux'", ] inference = [ - "caul[nemo]==0.10.2", + "caul[nemo]==0.10.3", "kaldialign==0.9.3", "ml-dtypes==0.5.4", "numpy==2.3.0", diff --git a/workers/asr-worker/tests/test_activities.py b/workers/asr-worker/tests/test_activities.py index 110adc9..25a218a 100644 --- a/workers/asr-worker/tests/test_activities.py +++ b/workers/asr-worker/tests/test_activities.py @@ -64,6 +64,14 @@ preprocessed_file_path=Path("preprocessed_2.wav"), ) ) +PREPROCESSED_INPUT_ERROR = PreprocessedInput( + metadata=InputMetadata( + input_ordering=0, + duration_s=0.0, + preprocessed_file_path=Path("preprocessed_error.wav"), + error="failed to decode audio", + ) +) INFERENCE_RESULTS = [ ASRResult( @@ -121,6 +129,28 @@ def process( yield list(b) +class MockErroringPreprocessor(Preprocessor): + def __init__(self, batch_size: int) -> None: + self._batch_size = batch_size + + @classmethod + def cache_models(cls, cache_dir: Path | None = None) -> None: ... + + @classmethod + def _from_config(cls, config: RegistrableConfig, **kwargs) -> Self: # noqa: ARG003 + return cls(**kwargs) + + def process( + self, + audios: Iterable[Path], # noqa: ARG002 + **kwargs, # noqa: ARG002 + ) -> Iterable[list[PreprocessedInput]]: + outputs = cycle([PREPROCESSED_INPUT_ERROR, PREPROCESSED_INPUT_1]) + outputs = [next(outputs) for _ in audios] + for b in batches(outputs, self._batch_size): + yield list(b) + + class MockInferenceRunner(InferenceRunner): @classmethod def _from_config(cls, config: RegistrableConfig, **kwargs) -> Self: # noqa: ARG003 @@ -251,6 +281,50 @@ def test_preprocess_act(test_worker_config: ASRWorkerConfig, tmpdir: Path) -> No assert written_batches == expected_batches +def test_preprocess_act_skips_input_with_error( + test_worker_config: ASRWorkerConfig, tmpdir: Path +) -> None: + # Given + output_dir = Path(tmpdir) + n_audios = 2 + batch_size = n_audios + audio_batch = tmpdir / "audio_batch.txt" + batch = [ + Document( + id=f"doc-{i}", + language=DatashareLanguage("ENGLISH"), + path=Path(str(i)), + root_document=f"root-{i}", + index=TEST_PROJECT, + metadata={"tika_metadata_resourcename": f"doc-{i}.wav"}, + ) + for i in range(n_audios) + ] + with audio_batch.open("w") as f: + for fs_doc in batch: + f.write(fs_doc.model_dump_json() + "\n") + preprocessor = MockErroringPreprocessor(batch_size=batch_size) + + # When + batch_files = preprocess_act( + preprocessor, + audio_batch=audio_batch, + worker_config=test_worker_config, + output_dir=output_dir, + ) + + # Then + assert len(batch_files) == 1 + written_batches = [ + [ + PreprocessedInput.model_validate(d) + for d in read_jsonl_as(output_dir / f, PreprocessedInput) + ] + for f in batch_files + ] + assert written_batches == [[PREPROCESSED_INPUT_1]] + + async def test_infer_act(tmpdir: Path) -> None: # Given inference_runner = MockInferenceRunner() diff --git a/workers/asr-worker/uv.lock b/workers/asr-worker/uv.lock index 54dc8f5..687ffd5 100644 --- a/workers/asr-worker/uv.lock +++ b/workers/asr-worker/uv.lock @@ -68,9 +68,9 @@ dependencies = [ { name = "psutil", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or (platform_machine != 'x86_64' and extra == 'extra-20-datashare-asr-worker-cpu' and extra == 'extra-20-datashare-asr-worker-gpu') or 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