96 lines
3.1 KiB
Python
96 lines
3.1 KiB
Python
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"""Price comparison service: search comparable listings and calculate average price."""
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from __future__ import annotations
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import logging
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import random
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import uuid
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from typing import Any
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.models.vehicle import Vehicle
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from app.schemas.retouch import ComparableListing, PriceCompareResponse
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from app.services.vehicle_service import get_vehicle_by_id
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logger = logging.getLogger(__name__)
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def _generate_mock_listings(vehicle: Vehicle) -> list[ComparableListing]:
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"""Generate mock mobile.de comparable listings based on vehicle data.
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In production, this would call the mobile.de Search API.
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For now, we generate realistic mock data based on the vehicle's
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make, model, year, and price.
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"""
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listings: list[ComparableListing] = []
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base_price = float(vehicle.price) if vehicle.price else 25000.0
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# Generate 3-7 comparable listings with price variation
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num_listings = random.randint(3, 7)
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for i in range(num_listings):
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# Vary price by +/- 15%
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price_variation = random.uniform(-0.15, 0.15)
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listing_price = round(base_price * (1 + price_variation), 2)
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# Vary mileage if vehicle has mileage
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base_mileage = vehicle.mileage_km or 100000
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mileage_variation = random.randint(-20000, 20000)
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listing_mileage = max(0, base_mileage + mileage_variation)
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locations = ["Berlin", "Hamburg", "München", "Köln", "Frankfurt", "Stuttgart"]
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listing = ComparableListing(
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title=f"{vehicle.make} {vehicle.model} {vehicle.year or ''}".strip(),
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make=vehicle.make,
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model=vehicle.model,
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year=vehicle.year,
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price=listing_price,
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mileage_km=listing_mileage,
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location=random.choice(locations),
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url=f"https://suchen.mobile.de/fahrzeuge/details.html?id={random.randint(1000000, 9999999)}",
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source="mobile.de",
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)
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listings.append(listing)
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return listings
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async def compare_prices(
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db: AsyncSession,
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vehicle_id: uuid.UUID,
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) -> PriceCompareResponse:
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"""Compare prices for a vehicle by searching comparable listings.
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Args:
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db: Async database session
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vehicle_id: UUID of the vehicle to compare
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Returns:
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PriceCompareResponse with comparable listings and average price.
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If vehicle not found, raises ValueError.
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If no comparable listings found, returns empty list with null average.
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"""
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vehicle = await get_vehicle_by_id(db, vehicle_id)
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if vehicle is None:
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raise ValueError(f"Vehicle {vehicle_id} not found")
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# Search for comparable listings
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# In production: call mobile.de Search API with make, model, year filters
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# For now: generate mock listings
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listings = _generate_mock_listings(vehicle)
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# Calculate average price
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if listings:
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average_price = round(sum(l.price for l in listings) / len(listings), 2)
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else:
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average_price = None
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return PriceCompareResponse(
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vehicle_id=vehicle_id,
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comparable_listings=listings,
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average_price=average_price,
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listing_count=len(listings),
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)
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