snipe/app/platforms/ebay/normaliser.py

68 lines
2.3 KiB
Python

"""Convert raw eBay API responses into Snipe domain objects."""
from __future__ import annotations
import json
from datetime import datetime, timezone
from app.db.models import Listing, Seller
def normalise_listing(raw: dict) -> Listing:
price_data = raw.get("price", {})
photos = []
if "image" in raw:
photos.append(raw["image"].get("imageUrl", ""))
for img in raw.get("additionalImages", []):
url = img.get("imageUrl", "")
if url and url not in photos:
photos.append(url)
photos = [p for p in photos if p]
listing_age_days = 0
created_raw = raw.get("itemCreationDate", "")
if created_raw:
try:
created = datetime.fromisoformat(created_raw.replace("Z", "+00:00"))
listing_age_days = (datetime.now(timezone.utc) - created).days
except ValueError:
pass
seller = raw.get("seller", {})
return Listing(
platform="ebay",
platform_listing_id=raw["itemId"],
title=raw.get("title", ""),
price=float(price_data.get("value", 0)),
currency=price_data.get("currency", "USD"),
condition=raw.get("condition", "").lower(),
seller_platform_id=seller.get("username", ""),
url=raw.get("itemWebUrl", ""),
photo_urls=photos,
listing_age_days=listing_age_days,
)
def normalise_seller(raw: dict) -> Seller:
feedback_pct = float(raw.get("feedbackPercentage", "0").strip("%")) / 100.0
account_age_days = 0
reg_date_raw = raw.get("registrationDate", "")
if reg_date_raw:
try:
reg_date = datetime.fromisoformat(reg_date_raw.replace("Z", "+00:00"))
account_age_days = (datetime.now(timezone.utc) - reg_date).days
except ValueError:
pass
category_history = {}
summary = raw.get("sellerFeedbackSummary", {})
for entry in summary.get("feedbackByCategory", []):
category_history[entry.get("categorySite", "")] = int(entry.get("count", 0))
return Seller(
platform="ebay",
platform_seller_id=raw["username"],
username=raw["username"],
account_age_days=account_age_days,
feedback_count=int(raw.get("feedbackScore", 0)),
feedback_ratio=feedback_pct,
category_history_json=json.dumps(category_history),
)