Files
whyrating-engine-legacy/test_fast_api.py
Alejandro Gutiérrez faa0704737 Optimize scraper performance and add fallback selectors for robustness
Performance improvements:
- Validation speed: 59.71s → 10.96s (5.5x improvement)
- Removed 50+ console.log statements from JavaScript extraction
- Replaced hardcoded sleeps with WebDriverWait for smart element-based waiting
- Added aggressive memory management (console.clear, GC, image unloading every 20 scrolls)

Scraping improvements:
- Increased idle detection from 6 to 12 consecutive idle scrolls for completeness
- Added real-time progress updates every 5 scrolls with percentage calculation
- Added crash recovery to extract partial reviews if Chrome crashes
- Removed artificial 200-review limit to scrape ALL reviews

Timestamp tracking:
- Added updated_at field separate from started_at for progress tracking
- Frontend now shows both "Started" (fixed) and "Last Update" (dynamic)

Robustness improvements:
- Added 5 fallback CSS selectors to handle different Google Maps page structures
- Now tries: div.jftiEf.fontBodyMedium, div.jftiEf, div[data-review-id], etc.
- Automatic selector detection logs which selector works for debugging

Test results:
- Successfully scraped 550 reviews in 150.53s without crashes
- Memory management prevents Chrome tab crashes during heavy scraping

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-18 19:49:24 +00:00

163 lines
4.6 KiB
Python

#!/usr/bin/env python3
"""
Test script for the Fast API server.
Demonstrates how to use the updated API with the fast scraper (18.9s).
"""
import requests
import time
import json
# API base URL
BASE_URL = "http://localhost:8000"
def test_api():
"""Test the Fast API endpoints"""
print("=" * 60)
print("Testing Fast Google Reviews Scraper API")
print("=" * 60)
print()
# 1. Health check
print("1. Health Check")
response = requests.get(f"{BASE_URL}/")
print(f" Status: {response.status_code}")
print(f" Response: {response.json()}")
print()
# 2. Start a scraping job
print("2. Starting Scraping Job")
# Read URL from config
import yaml
with open('config.yaml', 'r') as f:
config = yaml.safe_load(f)
url = config.get('url')
scrape_request = {
"url": url,
"headless": True # Run in headless mode
}
response = requests.post(f"{BASE_URL}/scrape", json=scrape_request)
print(f" Status: {response.status_code}")
result = response.json()
print(f" Response: {result}")
print()
job_id = result.get('job_id')
if not job_id:
print("❌ Failed to start job!")
return
print(f" Job ID: {job_id}")
print()
# 3. Poll job status
print("3. Polling Job Status")
start_time = time.time()
while True:
response = requests.get(f"{BASE_URL}/jobs/{job_id}")
job = response.json()
status = job['status']
progress = job.get('progress', {})
elapsed = time.time() - start_time
print(f" [{elapsed:.1f}s] Status: {status} - {progress.get('message', '')}")
if status in ['completed', 'failed', 'cancelled']:
break
time.sleep(2) # Poll every 2 seconds
print()
# 4. Get final job details
print("4. Final Job Details")
response = requests.get(f"{BASE_URL}/jobs/{job_id}")
job = response.json()
print(f" Status: {job['status']}")
print(f" Reviews Count: {job.get('reviews_count', 0)}")
print(f" Scrape Time: {job.get('scrape_time', 0):.1f}s")
if job.get('error_message'):
print(f" Error: {job['error_message']}")
if job.get('progress'):
progress = job['progress']
if 'scroll_time' in progress:
print(f" Scroll Time: {progress['scroll_time']:.1f}s")
if 'extract_time' in progress:
print(f" Extract Time: {progress['extract_time']:.2f}s")
print()
# 5. Get reviews data
if job['status'] == 'completed':
print("5. Retrieving Reviews Data")
response = requests.get(f"{BASE_URL}/jobs/{job_id}/reviews")
if response.status_code == 200:
reviews_data = response.json()
reviews = reviews_data['reviews']
count = reviews_data['count']
print(f" Total Reviews: {count}")
print()
# Show first 3 reviews
print(" Sample Reviews:")
for i, review in enumerate(reviews[:3], 1):
print(f" {i}. {review.get('author', 'Unknown')} - {review.get('rating', 0)}")
text = review.get('text', '')
if text:
preview = text[:60] + "..." if len(text) > 60 else text
print(f" \"{preview}\"")
print()
# Save to file
output_file = f"api_reviews_{job_id[:8]}.json"
with open(output_file, 'w', encoding='utf-8') as f:
json.dump(reviews, f, indent=2, ensure_ascii=False)
print(f" 💾 Saved all reviews to: {output_file}")
else:
print(f" ❌ Failed to get reviews: {response.status_code}")
print(f" {response.json()}")
print()
# 6. Get statistics
print("6. Job Statistics")
response = requests.get(f"{BASE_URL}/stats")
stats = response.json()
print(f" Total Jobs: {stats['total_jobs']}")
print(f" Running Jobs: {stats['running_jobs']}/{stats['max_concurrent_jobs']}")
print(f" By Status: {stats['by_status']}")
print()
print("=" * 60)
print("✅ API Test Complete!")
print("=" * 60)
if __name__ == "__main__":
try:
test_api()
except requests.exceptions.ConnectionError:
print("❌ Error: Could not connect to API server!")
print()
print("Please start the API server first:")
print(" python api_server.py")
print()
except KeyboardInterrupt:
print("\n\nTest interrupted by user")
except Exception as e:
print(f"\n❌ Error: {e}")
import traceback
traceback.print_exc()