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https://github.com/blakeblackshear/frigate.git
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ab50d0b006
* 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.
68 lines
2.3 KiB
Python
68 lines
2.3 KiB
Python
from peewee import (
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BooleanField,
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CharField,
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DateTimeField,
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FloatField,
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IntegerField,
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Model,
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TextField,
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)
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from playhouse.sqlite_ext import JSONField
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class Event(Model): # type: ignore[misc]
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id = CharField(null=False, primary_key=True, max_length=30)
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label = CharField(index=True, max_length=20)
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sub_label = CharField(max_length=100, null=True)
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camera = CharField(index=True, max_length=20)
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start_time = DateTimeField()
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end_time = DateTimeField()
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top_score = (
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FloatField()
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) # TODO remove when columns can be dropped without rebuilding table
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score = (
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FloatField()
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) # TODO remove when columns can be dropped without rebuilding table
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false_positive = BooleanField()
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zones = JSONField()
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thumbnail = TextField()
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has_clip = BooleanField(default=True)
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has_snapshot = BooleanField(default=True)
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region = (
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JSONField()
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) # TODO remove when columns can be dropped without rebuilding table
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box = (
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JSONField()
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) # TODO remove when columns can be dropped without rebuilding table
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area = (
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IntegerField()
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) # TODO remove when columns can be dropped without rebuilding table
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retain_indefinitely = BooleanField(default=False)
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ratio = FloatField(default=1.0)
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plus_id = CharField(max_length=30)
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model_hash = CharField(max_length=32)
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detector_type = CharField(max_length=32)
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model_type = CharField(max_length=32)
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data = JSONField() # ex: tracked object box, region, etc.
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class Timeline(Model): # type: ignore[misc]
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timestamp = DateTimeField()
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camera = CharField(index=True, max_length=20)
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source = CharField(index=True, max_length=20) # ex: tracked object, audio, external
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source_id = CharField(index=True, max_length=30)
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class_type = CharField(max_length=50) # ex: entered_zone, audio_heard
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data = JSONField() # ex: tracked object id, region, box, etc.
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class Recordings(Model): # type: ignore[misc]
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id = CharField(null=False, primary_key=True, max_length=30)
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camera = CharField(index=True, max_length=20)
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path = CharField(unique=True)
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start_time = DateTimeField()
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end_time = DateTimeField()
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duration = FloatField()
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motion = IntegerField(null=True)
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objects = IntegerField(null=True)
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segment_size = FloatField(default=0) # this should be stored as MB
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