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fix formatting due to new version of ruff

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This commit is contained in:
Josh Hawkins 2026-02-03 13:19:13 -06:00
parent e1b5e7e5c4
commit d18b6a0dea
5 changed files with 14 additions and 11 deletions
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6
frigate/api/classification.py
View File

@ -73,7 +73,7 @@ def get_faces():
face_dict[name] = [] face_dict[name] = []
for file in filter( for file in filter(
lambda f: (f.lower().endswith((".webp", ".png", ".jpg", ".jpeg"))), lambda f: f.lower().endswith((".webp", ".png", ".jpg", ".jpeg")),
os.listdir(face_dir), os.listdir(face_dir),
): ):
face_dict[name].append(file) face_dict[name].append(file)
@ -582,7 +582,7 @@ def get_classification_dataset(name: str):
dataset_dict[category_name] = [] dataset_dict[category_name] = []
for file in filter( for file in filter(
lambda f: (f.lower().endswith((".webp", ".png", ".jpg", ".jpeg"))), lambda f: f.lower().endswith((".webp", ".png", ".jpg", ".jpeg")),
os.listdir(category_dir), os.listdir(category_dir),
): ):
dataset_dict[category_name].append(file) dataset_dict[category_name].append(file)
@ -693,7 +693,7 @@ def get_classification_images(name: str):
status_code=200, status_code=200,
content=list( content=list(
filter( filter(
lambda f: (f.lower().endswith((".webp", ".png", ".jpg", ".jpeg"))), lambda f: f.lower().endswith((".webp", ".png", ".jpg", ".jpeg")),
os.listdir(train_dir), os.listdir(train_dir),
) )
), ),

2
frigate/data_processing/real_time/custom_classification.py
View File

@ -695,7 +695,7 @@ def write_classification_attempt(
# delete oldest face image if maximum is reached # delete oldest face image if maximum is reached
try: try:
files = sorted( files = sorted(
filter(lambda f: (f.endswith(".webp")), os.listdir(folder)), filter(lambda f: f.endswith(".webp"), os.listdir(folder)),
key=lambda f: os.path.getctime(os.path.join(folder, f)), key=lambda f: os.path.getctime(os.path.join(folder, f)),
reverse=True, reverse=True,
) )

2
frigate/data_processing/real_time/face.py
View File

@ -539,7 +539,7 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
cv2.imwrite(file, frame) cv2.imwrite(file, frame)
files = sorted( files = sorted(
filter(lambda f: (f.endswith(".webp")), os.listdir(folder)), filter(lambda f: f.endswith(".webp"), os.listdir(folder)),
key=lambda f: os.path.getctime(os.path.join(folder, f)), key=lambda f: os.path.getctime(os.path.join(folder, f)),
reverse=True, reverse=True,
) )

9
frigate/log.py
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@ -26,15 +26,16 @@ LOG_HANDLER.setFormatter(
# filter out norfair warning # filter out norfair warning
LOG_HANDLER.addFilter( LOG_HANDLER.addFilter(
lambda record: not record.getMessage().startswith( lambda record: (
"You are using a scalar distance function" not record.getMessage().startswith("You are using a scalar distance function")
) )
) )
# filter out tflite logging # filter out tflite logging
LOG_HANDLER.addFilter( LOG_HANDLER.addFilter(
lambda record: "Created TensorFlow Lite XNNPACK delegate for CPU." lambda record: (
not in record.getMessage() "Created TensorFlow Lite XNNPACK delegate for CPU." not in record.getMessage()
)
) )

6
frigate/record/maintainer.py
View File

@ -208,8 +208,10 @@ class RecordingMaintainer(threading.Thread):
processed_segment_count = len( processed_segment_count = len(
list( list(
filter( filter(
lambda r: r["start_time"].timestamp() lambda r: (
< most_recently_processed_frame_time, r["start_time"].timestamp()
< most_recently_processed_frame_time
),
grouped_recordings[camera], grouped_recordings[camera],
) )
) )