feat: frigate-notify v2 (modular app, CLIP recognition) + clip-service

Splits the single main.py into config/database/models/routes/vision/recognition/
ollama_client/cleanup modules, adds a web UI, and introduces clip-service for
CLIP (ViT-L-14) embeddings.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

compose/hf-pdocker-01/frigate-notify/app/models.py

@@ -0,0 +1,95 @@
+"""Pydantic models for frigate-notify v2 API."""
+
+from datetime import datetime
+from typing import Optional
+
+from pydantic import BaseModel, Field
+
+
+# --- Known Objects ---
+
+
+class KnownObjectCreate(BaseModel):
+    """Request model for creating a known object."""
+
+    name: str = Field(..., min_length=1, max_length=255)
+    type: str = Field(..., pattern="^(person|vehicle|pet)$")
+    action: str = Field(default="quiet", pattern="^(quiet|suppress|alert)$")
+
+
+class KnownObjectUpdate(BaseModel):
+    """Request model for updating a known object."""
+
+    name: Optional[str] = Field(default=None, min_length=1, max_length=255)
+    type: Optional[str] = Field(default=None, pattern="^(person|vehicle|pet)$")
+    action: Optional[str] = Field(default=None, pattern="^(quiet|suppress|alert)$")
+
+
+class KnownObjectResponse(BaseModel):
+    """Response model for a known object."""
+
+    id: int
+    name: str
+    type: str
+    action: str
+    created_at: str
+    updated_at: str
+
+
+# --- Events ---
+
+
+class TagEventRequest(BaseModel):
+    """Request model for tagging an event with a known object.
+
+    Either provide known_object_id to link to an existing object,
+    or provide name + type to create a new known object.
+    """
+
+    known_object_id: Optional[int] = None
+    name: Optional[str] = Field(default=None, min_length=1, max_length=255)
+    type: Optional[str] = Field(default=None, pattern="^(person|vehicle|pet)$")
+
+
+class EventResponse(BaseModel):
+    """Response model for an event."""
+
+    id: int
+    frigate_event_id: str
+    camera: str
+    label: str
+    score: float
+    has_snapshot: bool = False
+    snapshot_base64: Optional[str] = None
+    match_status: str
+    matched_object_id: Optional[int] = None
+    matched_object_name: Optional[str] = None
+    match_confidence: Optional[float] = None
+    ai_description: Optional[str] = None
+    notified: bool
+    created_at: str
+
+
+# --- Settings ---
+
+
+class SettingsResponse(BaseModel):
+    """Response model for application settings."""
+
+    vision_backend: str
+    recognition_enabled: bool
+    event_retention_days: int
+
+
+# --- Stats ---
+
+
+class StatsResponse(BaseModel):
+    """Response model for application statistics."""
+
+    total_events: int = 0
+    known_matches: int = 0
+    unknown_events: int = 0
+    unreviewed: int = 0
+    known_objects_count: int = 0
+    events_today: int = 0