first commit

app/schemas/expense.py

@@ -0,0 +1,89 @@
+from datetime import date, datetime
+from decimal import Decimal
+
+from pydantic import BaseModel, ConfigDict, model_validator
+
+from app.models.expense import ServiceType
+
+
+class FuelEntryBase(BaseModel):
+    entry_date: date
+    odometer: int
+    liters: Decimal
+    price_per_liter: Decimal
+    total_cost: Decimal | None = None
+    station: str | None = None
+    fuel_brand: str | None = None
+    is_full_tank: bool = True
+    notes: str | None = None
+
+    @model_validator(mode="after")
+    def fill_total_cost(self) -> "FuelEntryBase":
+        if self.total_cost is None:
+            self.total_cost = self.liters * self.price_per_liter
+        return self
+
+
+class FuelEntryCreate(FuelEntryBase):
+    car_id: int
+
+
+class FuelEntryRead(FuelEntryBase):
+    id: int
+    car_id: int
+    total_cost: Decimal
+    created_at: datetime
+
+    model_config = ConfigDict(from_attributes=True)
+
+
+class ServiceEntryBase(BaseModel):
+    entry_date: date
+    odometer: int | None = None
+    service_type: ServiceType
+    title: str
+    category: str | None = None
+    vendor: str | None = None
+    total_cost: Decimal
+    next_due_date: date | None = None
+    next_due_odometer: int | None = None
+    notes: str | None = None
+
+
+class ServiceEntryCreate(ServiceEntryBase):
+    car_id: int
+
+
+class ServiceEntryRead(ServiceEntryBase):
+    id: int
+    car_id: int
+    created_at: datetime
+
+    model_config = ConfigDict(from_attributes=True)
+
+
+class OwnershipStats(BaseModel):
+    car_id: int
+    date_from: date
+    date_to: date
+    fuel_cost: Decimal
+    service_cost: Decimal
+    total_cost: Decimal
+    liters: Decimal
+    distance_km: int
+    avg_consumption_l_per_100km: float | None
+    cost_per_km: float | None
+    fuel_entries_count: int
+    service_entries_count: int
+
+
+class OdometerPrediction(BaseModel):
+    car_id: int
+    samples: int
+    current_odometer: int | None
+    predicted_today: int | None
+    predicted_30_days: int | None
+    avg_km_per_day: float | None
+    avg_km_per_month: float | None
+    confidence: float
+    insight: str