Increase ruff coverage (#23644)
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* Pin ruff

* Add python upgrade fixes

This enables python upgrade checks in ruff to look for deprecated types and patterns. This namely fixes:
- usage of deprecated `Typing` which is now built in
- some specific exceptions which are caught and have new aliases

Some specific UP checks were also ignored as they are stylistic / unimportant and likely to cause bugs

* Remove async blocking calls

Use asyncio.to_thread on two remaining blocking calls to fix hanging event thread loop. Enable this specific rule to block it in the future.

* Use proper logging mechanism

* Correctly format logs

* Raise with context

When raising an exception include the from context to improve debugging

* Cleanup
This commit is contained in:
Nicolas Mowen
2026-07-06 12:28:02 -05:00
committed by GitHub
parent 455b8687e8
commit 4ee12e6237
169 changed files with 1053 additions and 1150 deletions
+2 -1
View File
@@ -4,9 +4,10 @@ import logging
import threading
from abc import ABC, abstractmethod
from collections import deque
from collections.abc import Callable
from concurrent.futures import Future
from queue import Empty, Full, Queue
from typing import Any, Callable
from typing import Any
import numpy as np
@@ -4,7 +4,7 @@ import logging
import os
import queue
import threading
from typing import Any, Optional
from typing import Any
import numpy as np
@@ -75,9 +75,7 @@ class AudioTranscriptionRealTimeProcessor(RealTimeProcessorApi):
f"Failed to initialize live streaming audio transcription: {e}"
)
def __process_audio_stream(
self, audio_data: np.ndarray
) -> Optional[tuple[str, bool]]:
def __process_audio_stream(self, audio_data: np.ndarray) -> tuple[str, bool] | None:
if (
self.model_runner.model is None
and self.config.audio_transcription.model_size == "small"
+2 -2
View File
@@ -7,7 +7,7 @@ import logging
import os
import shutil
from pathlib import Path
from typing import Any, Optional
from typing import Any
import cv2
import numpy as np
@@ -219,7 +219,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
logger.debug("Not processing due to hitting max rec attempts.")
return
face: Optional[dict[str, Any]] = None
face: dict[str, Any] | None = None
if self.requires_face_detection:
logger.debug("Running manual face detection.")
@@ -1053,7 +1053,7 @@ if __name__ == "__main__":
SAMPLING_RATE = 16000
duration = len(load_audio(audio_path)) / SAMPLING_RATE
logger.info("Audio duration is: %2.2f seconds" % duration)
logger.info("Audio duration is: %2.2f seconds", duration)
asr, online = asr_factory(args, logfile=logfile)
if args.vac: