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https://github.com/blakeblackshear/frigate.git
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Merge 845ba8d6e8 into d036061e3f
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commit
aa8b8a2ba9
41
frigate/test/test_builtin.py
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41
frigate/test/test_builtin.py
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"""Tests for frigate.util.builtin helpers."""
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import unittest
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from unittest.mock import patch
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from frigate.util.builtin import EventsPerSecond
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class TestEventsPerSecond(unittest.TestCase):
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def test_eps_is_zero_before_any_events(self) -> None:
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eps = EventsPerSecond()
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with patch("frigate.util.builtin.time.monotonic", return_value=100.0):
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self.assertEqual(eps.eps(), 0.0)
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def test_eps_counts_events_in_window(self) -> None:
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eps = EventsPerSecond(last_n_seconds=10)
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clock = [1000.0]
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with patch("frigate.util.builtin.time.monotonic", side_effect=lambda: clock[0]):
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eps.start()
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# one event per second for five seconds
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for _ in range(5):
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clock[0] += 1.0
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eps.update()
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# five events over the five seconds since start
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self.assertAlmostEqual(eps.eps(), 1.0)
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def test_old_timestamps_expire_from_window(self) -> None:
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eps = EventsPerSecond(last_n_seconds=10)
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clock = [0.0]
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with patch("frigate.util.builtin.time.monotonic", side_effect=lambda: clock[0]):
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eps.start()
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for _ in range(10):
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clock[0] += 1.0
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eps.update()
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# jump well past the window so every timestamp ages out
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clock[0] += 100.0
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self.assertEqual(eps.eps(), 0.0)
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if __name__ == "__main__":
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unittest.main()
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@ -2,7 +2,6 @@
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import ast
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import ast
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import copy
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import copy
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import datetime
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import logging
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import logging
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import math
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import math
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import multiprocessing.queues
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import multiprocessing.queues
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@ -10,7 +9,9 @@ import queue
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import re
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import re
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import shlex
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import shlex
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import struct
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import struct
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import time
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import urllib.parse
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import urllib.parse
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from collections import deque
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from collections.abc import Mapping
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from collections.abc import Mapping
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from multiprocessing.managers import ValueProxy
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from multiprocessing.managers import ValueProxy
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from pathlib import Path
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from pathlib import Path
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@ -32,23 +33,20 @@ class EventsPerSecond:
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self._start = None
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self._start = None
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self._max_events = max_events
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self._max_events = max_events
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self._last_n_seconds = last_n_seconds
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self._last_n_seconds = last_n_seconds
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self._timestamps = []
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self._timestamps: deque[float] = deque(maxlen=max_events)
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def start(self) -> None:
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def start(self) -> None:
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self._start = datetime.datetime.now().timestamp()
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self._start = time.monotonic()
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def update(self) -> None:
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def update(self) -> None:
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now = datetime.datetime.now().timestamp()
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now = time.monotonic()
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if self._start is None:
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if self._start is None:
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self._start = now
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self._start = now
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self._timestamps.append(now)
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self._timestamps.append(now)
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# truncate the list when it goes 100 over the max_size
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if len(self._timestamps) > self._max_events + 100:
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self._timestamps = self._timestamps[(1 - self._max_events) :]
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self.expire_timestamps(now)
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self.expire_timestamps(now)
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def eps(self) -> float:
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def eps(self) -> float:
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now = datetime.datetime.now().timestamp()
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now = time.monotonic()
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if self._start is None:
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if self._start is None:
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self._start = now
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self._start = now
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# compute the (approximate) events in the last n seconds
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# compute the (approximate) events in the last n seconds
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@ -63,7 +61,7 @@ class EventsPerSecond:
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def expire_timestamps(self, now: float) -> None:
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def expire_timestamps(self, now: float) -> None:
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threshold = now - self._last_n_seconds
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threshold = now - self._last_n_seconds
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while self._timestamps and self._timestamps[0] < threshold:
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while self._timestamps and self._timestamps[0] < threshold:
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del self._timestamps[0]
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self._timestamps.popleft()
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class InferenceSpeed:
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class InferenceSpeed:
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