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app/models/__init__.py

@@ -0,0 +1,7 @@
+"""
+SQLAlchemy ORM models and Pydantic schemas.
+"""
+
+from app.models.ecg import ECGSample
+
+__all__ = ["ECGSample"]

app/models/schemas.py

@@ -33,3 +33,35 @@ class ECGInferenceResponse(BaseModel):
     else:
         class Config:
             orm_mode = True
+
+
+class DashboardStats(BaseModel):
+    time_window_hours: int
+    total_samples: int
+    unique_patients: int
+    alert_distribution: dict
+    label_distribution: dict
+    avg_score: float
+    estimated_energy_savings_pct: float
+    timestamp: str
+
+
+class PatientSummary(BaseModel):
+    patient_id: str
+    latest_label: Optional[str]
+    latest_score: float
+    latest_alert_level: Optional[str]
+    latest_hr: Optional[int]
+    last_updated: str
+    total_samples: int
+    alert_count: int
+
+
+class AlertSummary(BaseModel):
+    sample_id: int
+    patient_id: str
+    alert_level: str
+    label: Optional[str]
+    score: float
+    hr: Optional[int]
+    timestamp: str