Add pet detection, wildlife, and activity config models

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

tests/unit/test_config.py

@@ -1,6 +1,7 @@
 """Tests for config loading and validation."""
 
 from vigilar.config import CameraConfig, VigilarConfig
+from vigilar.config import PetsConfig, WildlifeThreatMap, WildlifeSizeHeuristics, PetActivityConfig
 
 
 def test_default_config():
@@ -33,3 +34,61 @@ def test_camera_sensitivity_bounds():
     import pytest
     with pytest.raises(Exception):
         CameraConfig(id="test", display_name="Test", rtsp_url="rtsp://localhost", motion_sensitivity=1.5)
+
+
+class TestPetsConfig:
+    def test_defaults(self):
+        cfg = PetsConfig()
+        assert cfg.enabled is False
+        assert cfg.model == "yolov8s"
+        assert cfg.confidence_threshold == 0.5
+        assert cfg.pet_id_threshold == 0.7
+        assert cfg.pet_id_low_confidence == 0.5
+        assert cfg.min_training_images == 20
+        assert cfg.crop_retention_days == 7
+
+    def test_custom_values(self):
+        cfg = PetsConfig(enabled=True, model="yolov8m", confidence_threshold=0.6)
+        assert cfg.enabled is True
+        assert cfg.model == "yolov8m"
+        assert cfg.confidence_threshold == 0.6
+
+
+class TestWildlifeThreatMap:
+    def test_defaults(self):
+        tm = WildlifeThreatMap()
+        assert "bear" in tm.predator
+        assert "bird" in tm.passive
+
+    def test_custom_mapping(self):
+        tm = WildlifeThreatMap(predator=["bear", "wolf"], nuisance=["raccoon"])
+        assert "wolf" in tm.predator
+        assert "raccoon" in tm.nuisance
+
+
+class TestWildlifeSizeHeuristics:
+    def test_defaults(self):
+        sh = WildlifeSizeHeuristics()
+        assert sh.small == 0.02
+        assert sh.medium == 0.08
+        assert sh.large == 0.15
+
+
+class TestPetActivityConfig:
+    def test_defaults(self):
+        cfg = PetActivityConfig()
+        assert cfg.daily_digest is True
+        assert cfg.highlight_clips is True
+        assert cfg.zoomie_threshold == 0.8
+
+
+class TestCameraConfigLocation:
+    def test_default_location_is_interior(self):
+        from vigilar.config import CameraConfig
+        cfg = CameraConfig(id="test", display_name="Test", rtsp_url="rtsp://x")
+        assert cfg.location == "INTERIOR"
+
+    def test_exterior_location(self):
+        from vigilar.config import CameraConfig
+        cfg = CameraConfig(id="test", display_name="Test", rtsp_url="rtsp://x", location="EXTERIOR")
+        assert cfg.location == "EXTERIOR"

vigilar/config.py

@@ -43,6 +43,7 @@ class CameraConfig(BaseModel):
     resolution_capture: list[int] = Field(default_factory=lambda: [1920, 1080])
     resolution_motion: list[int] = Field(default_factory=lambda: [640, 360])
     zones: list["CameraZone"] = Field(default_factory=list)
+    location: str = "INTERIOR"  # EXTERIOR | INTERIOR | TRANSITION
 
 
 # --- Sensor Config ---
@@ -239,6 +240,48 @@ class HealthConfig(BaseModel):
     daily_digest_time: str = "08:00"
 
 
+# --- Pet Detection Config ---
+
+class WildlifeThreatMap(BaseModel):
+    predator: list[str] = Field(default_factory=lambda: ["bear"])
+    nuisance: list[str] = Field(default_factory=list)
+    passive: list[str] = Field(default_factory=lambda: ["bird", "horse", "cow", "sheep"])
+
+
+class WildlifeSizeHeuristics(BaseModel):
+    small: float = 0.02   # < 2% of frame → nuisance
+    medium: float = 0.08  # 2-8% → predator
+    large: float = 0.15   # > 8% → passive (deer-sized)
+
+
+class WildlifeConfig(BaseModel):
+    threat_map: WildlifeThreatMap = Field(default_factory=WildlifeThreatMap)
+    size_heuristics: WildlifeSizeHeuristics = Field(default_factory=WildlifeSizeHeuristics)
+
+
+class PetActivityConfig(BaseModel):
+    daily_digest: bool = True
+    highlight_clips: bool = True
+    zoomie_threshold: float = 0.8
+
+
+class PetsConfig(BaseModel):
+    enabled: bool = False
+    model: str = "yolov8s"
+    model_path: str = "/var/vigilar/models/yolov8s.pt"
+    confidence_threshold: float = 0.5
+    pet_id_enabled: bool = True
+    pet_id_model_path: str = "/var/vigilar/models/pet_id.pt"
+    pet_id_threshold: float = 0.7
+    pet_id_low_confidence: float = 0.5
+    training_dir: str = "/var/vigilar/pets/training"
+    crop_staging_dir: str = "/var/vigilar/pets/staging"
+    crop_retention_days: int = 7
+    min_training_images: int = 20
+    wildlife: WildlifeConfig = Field(default_factory=WildlifeConfig)
+    activity: PetActivityConfig = Field(default_factory=PetActivityConfig)
+
+
 # --- Rule Config ---
 
 class RuleCondition(BaseModel):
@@ -284,6 +327,7 @@ class VigilarConfig(BaseModel):
     detection: DetectionConfig = Field(default_factory=DetectionConfig)
     vehicles: VehicleConfig = Field(default_factory=VehicleConfig)
     health: HealthConfig = Field(default_factory=HealthConfig)
+    pets: PetsConfig = Field(default_factory=PetsConfig)
     cameras: list[CameraConfig] = Field(default_factory=list)
     sensors: list[SensorConfig] = Field(default_factory=list)
     sensor_gpio: SensorGPIOConfig = Field(default_factory=SensorGPIOConfig, alias="sensors.gpio")