feat: fuzzy matching Picnic ↔ Leclerc + page /matches dans le dashboard

Nouvelle table product_matches (status: pending/validated/rejected).
Matching via RapidFuzz token_sort_ratio, seuil configurable (défaut 85%).

Workflow :
  1. python -m tickettracker.cli match [--threshold 85]
     → calcule et stocke les paires candidates
  2. http://localhost:8000/matches
     → l'utilisateur valide ou rejette chaque paire
  3. La comparaison de prix enrichie avec les paires validées

Nouvelles dépendances : rapidfuzz, watchdog (requirements.txt).
10 tests ajoutés (test_matcher.py), tous passent.
Suite complète : 129 passent, 1 xfail, 0 échec.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

tickettracker/web/app.py

@@ -30,6 +30,7 @@ from tickettracker.web.queries import (
     get_compare_prices,
     get_dashboard_stats,
     get_monthly_spending,
+    get_pending_matches,
     get_product_history,
     get_product_list,
     get_receipt_detail,
@@ -167,6 +168,32 @@ async def page_product(request: Request, name: str):
     )
 
 
+@app.get("/matches", response_class=HTMLResponse)
+async def page_matches(request: Request):
+    """Page de validation des paires fuzzy Picnic ↔ Leclerc."""
+    conn = get_connection(config.DB_PATH)
+    try:
+        pending = get_pending_matches(conn)
+        validated_count = conn.execute(
+            "SELECT COUNT(*) FROM product_matches WHERE status='validated'"
+        ).fetchone()[0]
+        rejected_count = conn.execute(
+            "SELECT COUNT(*) FROM product_matches WHERE status='rejected'"
+        ).fetchone()[0]
+    finally:
+        conn.close()
+
+    return templates.TemplateResponse(
+        request,
+        "matches.html",
+        {
+            "pending": pending,
+            "validated_count": validated_count,
+            "rejected_count": rejected_count,
+        },
+    )
+
+
 @app.get("/receipt/{receipt_id}", response_class=HTMLResponse)
 async def page_receipt(request: Request, receipt_id: int):
     """Page détail d'un ticket."""