Files
scaev/test_comprehensive.py
2025-12-07 01:26:48 +01:00

96 lines
3.7 KiB
Python

#!/usr/bin/env python3
"""Test comprehensive data enrichment"""
import asyncio
import sys
sys.path.insert(0, 'src')
from scraper import TroostwijkScraper
async def main():
scraper = TroostwijkScraper()
from playwright.async_api import async_playwright
async with async_playwright() as p:
browser = await p.chromium.launch(headless=True)
page = await browser.new_page(
viewport={'width': 1920, 'height': 1080},
user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
)
# Test with lot that has bids
lot_url = "https://www.troostwijkauctions.com/l/%25282x%2529-duo-bureau-160x168-cm-A1-28505-5"
print(f"Testing comprehensive extraction\n")
result = await scraper.crawl_page(page, lot_url)
if result:
print(f"\n{'='*60}")
print("COMPREHENSIVE DATA EXTRACTION:")
print(f"{'='*60}")
print(f"Lot ID: {result.get('lot_id')}")
print(f"Title: {result.get('title', '')[:50]}...")
print(f"\n[Bidding Intelligence]")
print(f" Status: {result.get('status')}")
print(f" Current Bid: {result.get('current_bid')}")
print(f" Starting Bid: {result.get('starting_bid')}")
print(f" Bid Increment: EUR {result.get('bid_increment', 0):.2f}")
print(f" Bid Count: {result.get('bid_count')}")
print(f" First Bid: {result.get('first_bid_time', 'N/A')}")
print(f" Last Bid: {result.get('last_bid_time', 'N/A')}")
print(f" Bid Velocity: {result.get('bid_velocity', 0)} bids/hour")
print(f"\n[Valuation Intelligence]")
print(f" Brand: {result.get('brand', 'N/A')}")
print(f" Model: {result.get('model', 'N/A')}")
print(f" Year: {result.get('year_manufactured', 'N/A')}")
print(f" Manufacturer: {result.get('manufacturer', 'N/A')}")
print(f" Condition Score: {result.get('condition_score', 'N/A')}")
print(f" Condition: {result.get('condition_description', 'N/A')}")
print(f" Serial#: {result.get('serial_number', 'N/A')}")
print(f" Damage: {result.get('damage_description', 'N/A')[:50] if result.get('damage_description') else 'N/A'}...")
await browser.close()
# Verify database
import sqlite3
conn = sqlite3.connect('/mnt/okcomputer/output/cache.db')
# Check lot data
cursor = conn.execute("""
SELECT bid_velocity, first_bid_time, year_manufactured, condition_score
FROM lots
WHERE lot_id = ?
""", (result.get('lot_id'),))
row = cursor.fetchone()
if row:
print(f"\n{'='*60}")
print("DATABASE VERIFICATION (lots table):")
print(f"{'='*60}")
print(f" Bid Velocity: {row[0]}")
print(f" First Bid Time: {row[1]}")
print(f" Year: {row[2]}")
print(f" Condition Score: {row[3]}")
# Check bid history
cursor = conn.execute("""
SELECT COUNT(*), MIN(bid_time), MAX(bid_time), SUM(is_autobid)
FROM bid_history
WHERE lot_id = ?
""", (result.get('lot_id'),))
row = cursor.fetchone()
if row and row[0] > 0:
print(f"\n{'='*60}")
print("DATABASE VERIFICATION (bid_history table):")
print(f"{'='*60}")
print(f" Total Bids Stored: {row[0]}")
print(f" First Bid: {row[1]}")
print(f" Last Bid: {row[2]}")
print(f" Autobids: {row[3]}")
conn.close()
if __name__ == "__main__":
asyncio.run(main())