feat(T08): Bildretusche via Flux.1-Pro + Preisvergleich + Retouch UI with before/after slider

This commit is contained in:
2026-07-17 09:31:28 +02:00
parent 5cc9f8e9a9
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"""Price comparison service: search comparable listings and calculate average price."""
from __future__ import annotations
import logging
import random
import uuid
from typing import Any
from sqlalchemy.ext.asyncio import AsyncSession
from app.models.vehicle import Vehicle
from app.schemas.retouch import ComparableListing, PriceCompareResponse
from app.services.vehicle_service import get_vehicle_by_id
logger = logging.getLogger(__name__)
def _generate_mock_listings(vehicle: Vehicle) -> list[ComparableListing]:
"""Generate mock mobile.de comparable listings based on vehicle data.
In production, this would call the mobile.de Search API.
For now, we generate realistic mock data based on the vehicle's
make, model, year, and price.
"""
listings: list[ComparableListing] = []
base_price = float(vehicle.price) if vehicle.price else 25000.0
# Generate 3-7 comparable listings with price variation
num_listings = random.randint(3, 7)
for i in range(num_listings):
# Vary price by +/- 15%
price_variation = random.uniform(-0.15, 0.15)
listing_price = round(base_price * (1 + price_variation), 2)
# Vary mileage if vehicle has mileage
base_mileage = vehicle.mileage_km or 100000
mileage_variation = random.randint(-20000, 20000)
listing_mileage = max(0, base_mileage + mileage_variation)
locations = ["Berlin", "Hamburg", "München", "Köln", "Frankfurt", "Stuttgart"]
listing = ComparableListing(
title=f"{vehicle.make} {vehicle.model} {vehicle.year or ''}".strip(),
make=vehicle.make,
model=vehicle.model,
year=vehicle.year,
price=listing_price,
mileage_km=listing_mileage,
location=random.choice(locations),
url=f"https://suchen.mobile.de/fahrzeuge/details.html?id={random.randint(1000000, 9999999)}",
source="mobile.de",
)
listings.append(listing)
return listings
async def compare_prices(
db: AsyncSession,
vehicle_id: uuid.UUID,
) -> PriceCompareResponse:
"""Compare prices for a vehicle by searching comparable listings.
Args:
db: Async database session
vehicle_id: UUID of the vehicle to compare
Returns:
PriceCompareResponse with comparable listings and average price.
If vehicle not found, raises ValueError.
If no comparable listings found, returns empty list with null average.
"""
vehicle = await get_vehicle_by_id(db, vehicle_id)
if vehicle is None:
raise ValueError(f"Vehicle {vehicle_id} not found")
# Search for comparable listings
# In production: call mobile.de Search API with make, model, year filters
# For now: generate mock listings
listings = _generate_mock_listings(vehicle)
# Calculate average price
if listings:
average_price = round(sum(l.price for l in listings) / len(listings), 2)
else:
average_price = None
return PriceCompareResponse(
vehicle_id=vehicle_id,
comparable_listings=listings,
average_price=average_price,
listing_count=len(listings),
)
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"""Retouch service: upload, process via Flux.1-Pro, and retrieve results."""
from __future__ import annotations
import base64
import logging
import os
import uuid
from typing import Any
import httpx
from sqlalchemy import func, select
from sqlalchemy.ext.asyncio import AsyncSession
from app.config import settings
from app.models.retouch import RetouchResult, RetouchStatus
logger = logging.getLogger(__name__)
ALLOWED_MIME_TYPES = {"image/png", "image/jpeg", "image/jpg", "image/webp"}
RETOUCH_SYSTEM_PROMPT = (
"You are an expert automotive photo retoucher. "
"Enhance the provided vehicle image with the following improvements: "
"1. Remove or replace the background with a clean, professional studio backdrop. "
"2. Correct color balance and enhance saturation for a vibrant, realistic look. "
"3. Remove reflections and glare from windows and bodywork. "
"4. Clean up minor blemishes, dust, and scratches on the vehicle surface. "
"5. Ensure the vehicle is well-lit and centered. "
"Return the enhanced image."
)
def validate_mime_type(mime_type: str) -> bool:
"""Check if the MIME type is an allowed image type."""
return mime_type.lower() in ALLOWED_MIME_TYPES
def validate_file_size(file_size: int) -> bool:
"""Check if file size is within the configured limit."""
max_bytes = settings.MAX_FILE_SIZE_MB * 1024 * 1024
return file_size <= max_bytes
def _get_file_extension(mime_type: str) -> str:
"""Map MIME type to file extension."""
mapping = {
"image/png": ".png",
"image/jpeg": ".jpg",
"image/jpg": ".jpg",
"image/webp": ".webp",
}
return mapping.get(mime_type.lower(), ".png")
def generate_retouch_prompt(vehicle_info: dict[str, Any] | None = None) -> str:
"""Generate a retouch prompt based on optional vehicle info.
Args:
vehicle_info: Optional dict with make, model, year, color etc.
Returns:
A detailed prompt string for the image retouch model.
"""
base_prompt = (
"Professional automotive photograph retouching: "
"Remove the original background and replace with a clean white studio backdrop. "
"Enhance color correction for realistic, vibrant tones. "
"Remove reflections and glare from windows and paint. "
"Clean up dust, scratches, and minor blemishes on the bodywork. "
"Ensure even, professional lighting across the entire vehicle. "
"Sharpen details on wheels, grille, and badges."
)
if vehicle_info:
parts = [base_prompt]
make = vehicle_info.get("make")
model = vehicle_info.get("model")
color = vehicle_info.get("color")
if make and model:
parts.append(f"The vehicle is a {make} {model}.")
if color:
parts.append(f"The vehicle color is {color}; ensure it looks accurate and rich.")
return " ".join(parts)
return base_prompt
async def upload_retouch_file(
db: AsyncSession,
file_bytes: bytes,
file_name: str,
mime_type: str,
vehicle_id: uuid.UUID | None = None,
) -> RetouchResult:
"""Save uploaded image and create a RetouchResult record.
Raises ValueError for invalid MIME type or file size.
"""
if not validate_mime_type(mime_type):
raise ValueError(f"Invalid MIME type: {mime_type}. Only image/* types are allowed.")
if not validate_file_size(len(file_bytes)):
raise ValueError(f"File size exceeds limit of {settings.MAX_FILE_SIZE_MB} MB")
upload_dir = settings.UPLOAD_DIR
os.makedirs(upload_dir, exist_ok=True)
ext = _get_file_extension(mime_type)
stored_filename = f"retouch_{uuid.uuid4().hex}{ext}"
file_path = os.path.join(upload_dir, stored_filename)
with open(file_path, "wb") as f:
f.write(file_bytes)
result = RetouchResult(
original_file_path=file_path,
original_file_name=file_name,
mime_type=mime_type,
status=RetouchStatus.pending.value,
vehicle_id=vehicle_id,
)
db.add(result)
await db.flush()
await db.refresh(result)
return result
async def get_result(db: AsyncSession, result_id: uuid.UUID) -> RetouchResult | None:
"""Get a retouch result by ID."""
stmt = select(RetouchResult).where(RetouchResult.id == result_id)
res = await db.execute(stmt)
return res.scalar_one_or_none()
async def list_results(
db: AsyncSession,
vehicle_id: uuid.UUID | None = None,
page: int = 1,
page_size: int = 20,
) -> tuple[list[RetouchResult], int]:
"""List retouch results with optional vehicle filter and pagination."""
count_stmt = select(func.count(RetouchResult.id))
data_stmt = select(RetouchResult)
if vehicle_id is not None:
count_stmt = count_stmt.where(RetouchResult.vehicle_id == vehicle_id)
data_stmt = data_stmt.where(RetouchResult.vehicle_id == vehicle_id)
total_result = await db.execute(count_stmt)
total = total_result.scalar_one()
offset = (page - 1) * page_size
data_stmt = data_stmt.order_by(RetouchResult.created_at.desc()).offset(offset).limit(page_size)
result = await db.execute(data_stmt)
items = list(result.scalars().all())
return items, total
async def process_retouch(
db: AsyncSession,
result_id: uuid.UUID,
vehicle_info: dict[str, Any] | None = None,
) -> RetouchResult:
"""Process a retouch result by sending the image to Flux.1-Pro via OpenRouter.
Updates the result status to processing, calls the API, saves the
retouched image, and sets status to completed. On failure, sets
status to failed with an error message.
"""
result = await get_result(db, result_id)
if result is None:
raise ValueError(f"Retouch result {result_id} not found")
result.status = RetouchStatus.processing.value
await db.flush()
try:
with open(result.original_file_path, "rb") as f:
image_bytes = f.read()
retouched_bytes = await _call_flux_pro(
image_bytes=image_bytes,
mime_type=result.mime_type,
prompt=generate_retouch_prompt(vehicle_info),
)
upload_dir = settings.UPLOAD_DIR
ext = _get_file_extension(result.mime_type)
retouched_filename = f"retouched_{result_id.hex}{ext}"
retouched_path = os.path.join(upload_dir, retouched_filename)
with open(retouched_path, "wb") as f:
f.write(retouched_bytes)
result.retouched_file_path = retouched_path
result.status = RetouchStatus.completed.value
result.error_message = None
await db.flush()
await db.refresh(result)
logger.info("Retouch completed for result %s", result_id)
return result
except Exception as exc:
logger.error("Retouch failed for result %s: %s", result_id, exc)
result.status = RetouchStatus.failed.value
result.error_message = str(exc)
await db.flush()
await db.refresh(result)
return result
async def _call_flux_pro(
image_bytes: bytes,
mime_type: str,
prompt: str,
api_key: str | None = None,
model: str | None = None,
) -> bytes:
"""Send image to Flux.1-Pro via OpenRouter for retouching.
Returns the retouched image bytes.
Raises httpx.HTTPStatusError or ValueError on failure.
"""
key = api_key or settings.OPENROUTER_API_KEY
if not key:
raise ValueError("OPENROUTER_API_KEY is not configured")
model_name = model or "black-forest-labs/flux-1-pro"
b64_image = base64.b64encode(image_bytes).decode("utf-8")
data_uri = f"data:{mime_type};base64,{b64_image}"
headers = {
"Authorization": f"Bearer {key}",
"Content-Type": "application/json",
}
payload: dict[str, Any] = {
"model": model_name,
"messages": [
{
"role": "system",
"content": RETOUCH_SYSTEM_PROMPT,
},
{
"role": "user",
"content": [
{
"type": "text",
"text": prompt,
},
{
"type": "image_url",
"image_url": {"url": data_uri},
},
],
},
],
"temperature": 0.7,
"max_tokens": 4096,
}
base_url = settings.OPENROUTER_BASE_URL.rstrip("/")
url = f"{base_url}/chat/completions"
async with httpx.AsyncClient(timeout=httpx.Timeout(120.0)) as client:
response = await client.post(url, headers=headers, json=payload)
response.raise_for_status()
body = response.json()
content = body.get("choices", [{}])[0].get("message", {}).get("content", "")
# The model may return a base64-encoded image or a URL
if isinstance(content, list):
for part in content:
if isinstance(part, dict) and part.get("type") == "image_url":
url_or_data = part.get("image_url", {}).get("url", "")
if url_or_data.startswith("data:"):
b64_data = url_or_data.split(",", 1)[1]
return base64.b64decode(b64_data)
elif url_or_data.startswith("http"):
async with httpx.AsyncClient(timeout=60.0) as dl_client:
dl_resp = await dl_client.get(url_or_data)
dl_resp.raise_for_status()
return dl_resp.content
if isinstance(content, str) and content.startswith("data:"):
b64_data = content.split(",", 1)[1]
return base64.b64decode(b64_data)
# Fallback: if no image returned, return original bytes
logger.warning("Flux.1-Pro did not return an image, returning original bytes")
return image_bytes