Snapshot: full project state

app.py

@@ -0,0 +1,81 @@
+#!/usr/bin/env python3
+"""
+Payment Recon Search Engine
+Flask API + static frontend — searches the web for payment processor usage,
+takes screenshots, and classifies sites with local vision models.
+"""
+import json, time, threading, urllib.parse
+from pathlib import Path
+from flask import Flask, request, jsonify, send_from_directory
+from search_engine import search_processor, search_all, PROCESSORS
+from vision import batch_analyze
+
+app = Flask(__name__, static_folder='static', static_url_path='')
+
+# In-memory job queue
+jobs = {}
+job_lock = threading.Lock()
+
+@app.route('/')
+def index():
+    return send_from_directory('static', 'index.html')
+
+@app.route('/api/processors')
+def api_processors():
+    """List all processors with metadata."""
+    return jsonify(PROCESSORS)
+
+@app.route('/api/search/<processor>')
+def api_search(processor):
+    """Search for sites using a specific processor."""
+    industry = request.args.get('industry', '')
+    country = request.args.get('country', 'US')
+    max_results = int(request.args.get('max', 8))
+    
+    result = search_processor(processor, industry or None, country or None, max_results)
+    return jsonify(result)
+
+@app.route('/api/search-all')
+def api_search_all():
+    """Search across all processors."""
+    industry = request.args.get('industry', '')
+    country = request.args.get('country', 'US')
+    result = search_all(industry or None, country or None, max_per_processor=4)
+    return jsonify(result)
+
+@app.route('/api/analyze', methods=['POST'])
+def api_analyze():
+    """Queue screenshot + vision analysis for a batch of sites."""
+    data = request.get_json()
+    sites = data.get('sites', [])
+    processor = data.get('processor', 'Unknown')
+    
+    job_id = str(int(time.time() * 1000))
+    
+    with job_lock:
+        jobs[job_id] = {'status': 'running', 'progress': 0, 'results': [], 'total': len(sites)}
+    
+    def run():
+        results = batch_analyze(sites, processor, max_screenshots=min(len(sites), 8))
+        with job_lock:
+            jobs[job_id] = {'status': 'complete', 'progress': 100, 'results': results, 'total': len(sites)}
+    
+    threading.Thread(target=run, daemon=True).start()
+    return jsonify({'job_id': job_id, 'status': 'queued', 'total': len(sites)})
+
+@app.route('/api/job/<job_id>')
+def api_job_status(job_id):
+    """Check analysis job status."""
+    with job_lock:
+        job = jobs.get(job_id, {'status': 'not_found'})
+    return jsonify(job)
+
+@app.route('/api/health')
+def api_health():
+    return jsonify({'status': 'ok', 'processors': len(PROCESSORS['processors'])})
+
+if __name__ == '__main__':
+    print("🔍 Payment Recon Engine")
+    print(f"   {len(PROCESSORS['processors'])} processors loaded")
+    print(f"   http://localhost:5052")
+    app.run(host='0.0.0.0', port=5052, debug=False)