Add isort and ruff linter (#6575)

* Add isort and ruff linter

Both linters are pretty common among modern python code bases.

The isort tool provides stable sorting and grouping, as well as pruning
of unused imports.

Ruff is a modern linter, that is very fast due to being written in rust.
It can detect many common issues in a python codebase.

Removes the pylint dev requirement, since ruff replaces it.

* treewide: fix issues detected by ruff

* treewide: fix bare except clauses

* .devcontainer: Set up isort

* treewide: optimize imports

* treewide: apply black

* treewide: make regex patterns raw strings

This is necessary for escape sequences to be properly recognized.

process_clip.py

@@ -1,8 +1,4 @@
-import sys
-from typing_extensions import runtime
-
-sys.path.append("/lab/frigate")
-
+import csv
 import json
 import logging
 import multiprocessing as mp
@@ -11,21 +7,26 @@ import subprocess as sp
 import sys
 
 import click
-import csv
 import cv2
 import numpy as np
 
-from frigate.config import FrigateConfig
-from frigate.object_detection import LocalObjectDetector
-from frigate.motion import MotionDetector
-from frigate.object_processing import CameraState
-from frigate.objects import ObjectTracker
-from frigate.util import (
+sys.path.append("/lab/frigate")
+
+from frigate.config import FrigateConfig  # noqa: E402
+from frigate.motion import MotionDetector  # noqa: E402
+from frigate.object_detection import LocalObjectDetector  # noqa: E402
+from frigate.object_processing import CameraState  # noqa: E402
+from frigate.objects import ObjectTracker  # noqa: E402
+from frigate.util import (  # noqa: E402
     EventsPerSecond,
     SharedMemoryFrameManager,
     draw_box_with_label,
 )
-from frigate.video import capture_frames, process_frames, start_or_restart_ffmpeg
+from frigate.video import (  # noqa: E402
+    capture_frames,
+    process_frames,
+    start_or_restart_ffmpeg,
+)
 
 logging.basicConfig()
 logging.root.setLevel(logging.DEBUG)
@@ -310,7 +311,6 @@ def process(path, label, output, debug_path):
 
         for result in results:
             if count == 0:
-
                 # Writing headers of CSV file
                 header = ["file"] + list(result[1].keys())
                 csv_writer.writerow(header)