Files
DocsGPT/tests/parser/file/test_audio_parser.py
T
Alex 574f96341e refactor: rename the application package to docsgpt
The backend import package is now docsgpt, the name it will carry on PyPI;
application was far too generic to install into anyone's site-packages.
git mv plus a mechanical rewrite of every import, dotted string and path
reference: 734 Python files, the compose files, Dockerfile, workflows, docs,
setup scripts, devcontainer, k8s manifests, vscode config, pytest and coverage
config, .gitignore. Behaviour is unchanged.

Kept for one release:
- A top-level application package whose meta-path finder resolves
  application.x.y to the already-imported docsgpt.x.y object, so old imports
  and entry points (celery -A application.app.celery,
  uvicorn application.asgi:asgi_app) keep working with a FutureWarning.
- Celery registers every application.* task name as an alias of its
  docsgpt.* task on start-up, so messages queued by the previous release still
  run. The redbeat key prefix moves to redbeat:docsgpt:v2: so schedule entries
  the previous release wrote are left unread instead of firing twice.

The backend image builds from the repository root (docker build -f
docsgpt/Dockerfile .) so it can ship the alias package; a root .dockerignore
allow-lists docsgpt/ and application/ and keeps caches, local data, .env
files, the sample index files and the Dockerfile out. Compose and the image
workflows point at the new context.
2026-09-07 10:20:43 +01:00

72 lines
2.3 KiB
Python

from unittest.mock import MagicMock, patch
from docsgpt.parser.file.audio_parser import AudioParser
from docsgpt.parser.file.bulk import get_default_file_extractor
from docsgpt.stt.upload_limits import AudioFileTooLargeError
def test_audio_init_parser():
parser = AudioParser()
assert isinstance(parser._init_parser(), dict)
assert not parser.parser_config_set
parser.init_parser()
assert parser.parser_config_set
@patch("docsgpt.stt.upload_limits.settings")
@patch("docsgpt.parser.file.audio_parser.STTCreator.create_stt")
@patch("docsgpt.parser.file.audio_parser.settings")
def test_audio_parser_transcribes_file(
mock_settings, mock_create_stt, mock_limit_settings, tmp_path
):
mock_settings.STT_PROVIDER = "openai"
mock_settings.STT_LANGUAGE = "en"
mock_settings.STT_ENABLE_TIMESTAMPS = False
mock_settings.STT_ENABLE_DIARIZATION = False
mock_limit_settings.STT_MAX_FILE_SIZE_MB = 25
mock_stt = MagicMock()
mock_stt.transcribe.return_value = {"text": "Transcript from audio"}
mock_create_stt.return_value = mock_stt
audio_file = tmp_path / "meeting.wav"
audio_file.write_bytes(b"audio-bytes")
parser = AudioParser()
result = parser.parse_file(audio_file)
assert result == "Transcript from audio"
mock_create_stt.assert_called_once_with("openai")
mock_stt.transcribe.assert_called_once_with(
audio_file,
language="en",
timestamps=False,
diarize=False,
)
@patch("docsgpt.stt.upload_limits.settings")
def test_audio_parser_rejects_oversized_files(mock_limit_settings, tmp_path):
mock_limit_settings.STT_MAX_FILE_SIZE_MB = 1
audio_file = tmp_path / "meeting.wav"
audio_file.write_bytes(b"x" * (2 * 1024 * 1024))
parser = AudioParser()
try:
parser.parse_file(audio_file)
except AudioFileTooLargeError as exc:
assert "exceeds" in str(exc)
else:
raise AssertionError("Expected oversized audio file to be rejected")
def test_default_file_extractor_supports_audio_extensions():
extractor = get_default_file_extractor()
assert isinstance(extractor[".wav"], AudioParser)
assert isinstance(extractor[".mp3"], AudioParser)
assert isinstance(extractor[".m4a"], AudioParser)
assert isinstance(extractor[".ogg"], AudioParser)
assert isinstance(extractor[".webm"], AudioParser)