Various Tweaks (#22609)
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* Mark items as reviewed as a group with keyboard

* Improve handling of half model regions

* update viewport meta tag to prevent user scaling

fixes https://github.com/blakeblackshear/frigate/issues/22017

* add small animation to collapsible shadcn elements

* add proxy auth env var tests

* Improve search effect

* Fix mobile back navigation losing overlay state on classification page

* undo historyBack changes

* fix classification history navigation

---------

Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
This commit is contained in:
Nicolas Mowen
2026-03-24 13:53:39 -06:00
committed by GitHub
co-authored by Josh Hawkins
parent 334245bd3c
commit 4b42039568
9 changed files with 169 additions and 58 deletions
+37
View File
@@ -2,6 +2,7 @@ import unittest
from frigate.api.auth import resolve_role
from frigate.config import HeaderMappingConfig, ProxyConfig
from frigate.config.env import FRIGATE_ENV_VARS
class TestProxyRoleResolution(unittest.TestCase):
@@ -91,3 +92,39 @@ class TestProxyRoleResolution(unittest.TestCase):
headers = {"x-remote-role": "group_unknown"}
role = resolve_role(headers, self.proxy_config, self.config_roles)
self.assertEqual(role, self.proxy_config.default_role)
class TestProxyAuthSecretEnvString(unittest.TestCase):
def setUp(self):
self._original_env_vars = dict(FRIGATE_ENV_VARS)
def tearDown(self):
FRIGATE_ENV_VARS.clear()
FRIGATE_ENV_VARS.update(self._original_env_vars)
def test_auth_secret_env_substitution(self):
"""auth_secret resolves FRIGATE_ env vars via EnvString."""
FRIGATE_ENV_VARS["FRIGATE_PROXY_SECRET"] = "my_secret_value"
config = ProxyConfig(auth_secret="{FRIGATE_PROXY_SECRET}")
self.assertEqual(config.auth_secret, "my_secret_value")
def test_auth_secret_env_embedded_in_string(self):
"""auth_secret resolves env vars embedded in a larger string."""
FRIGATE_ENV_VARS["FRIGATE_SECRET_PART"] = "abc123"
config = ProxyConfig(auth_secret="prefix-{FRIGATE_SECRET_PART}-suffix")
self.assertEqual(config.auth_secret, "prefix-abc123-suffix")
def test_auth_secret_plain_string(self):
"""auth_secret accepts a plain string without substitution."""
config = ProxyConfig(auth_secret="literal_secret")
self.assertEqual(config.auth_secret, "literal_secret")
def test_auth_secret_none(self):
"""auth_secret defaults to None."""
config = ProxyConfig()
self.assertIsNone(config.auth_secret)
def test_auth_secret_unknown_var_raises(self):
"""auth_secret raises KeyError for unknown env var references."""
with self.assertRaises(Exception):
ProxyConfig(auth_secret="{FRIGATE_NONEXISTENT_VAR}")
+9 -10
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@@ -271,18 +271,17 @@ def get_min_region_size(model_config: ModelConfig) -> int:
"""Get the min region size."""
largest_dimension = max(model_config.height, model_config.width)
if largest_dimension > 320:
# We originally tested allowing any model to have a region down to half of the model size
# but this led to many false positives. In this case we specifically target larger models
# which can benefit from a smaller region in some cases to detect smaller objects.
half = int(largest_dimension / 2)
# return largest dimension for smaller models, but make sure the dimension is normalized
if largest_dimension < 320:
if largest_dimension % 4 == 0:
return largest_dimension
if half % 4 == 0:
return half
return int((largest_dimension + 3) / 4) * 4
return int((half + 3) / 4) * 4
return largest_dimension
# Any model that is 320 or larger should have a minimum region size of 320
# this allows larger models to use smaller regions to detect smaller objects
# in the case that the motion area is smaller so that it can be upscaled.
return 320
def create_tensor_input(frame, model_config: ModelConfig, region):