"""
Diagnostic Backtest - Hangi Pazar Kanıyor?
===========================================
Analyses the 500 matches to see WHICH markets are losing money.
"""

import os
import sys
import json
import time
import psycopg2
from psycopg2.extras import RealDictCursor
from collections import defaultdict

AI_DIR = os.path.dirname(os.path.abspath(__file__))
ROOT_DIR = os.path.dirname(AI_DIR)
sys.path.insert(0, ROOT_DIR)
if "scripts" in os.path.basename(AI_DIR):
    ROOT_DIR = os.path.dirname(ROOT_DIR)

from services.single_match_orchestrator import get_single_match_orchestrator

def get_clean_dsn() -> str:
    return "postgresql://suggestbet:SuGGesT2026SecuRe@localhost:15432/boilerplate_db"

def run_diagnostic():
    print("🔍 TANI BACKTESTİ: NEREDE KAYBETTİK?")
    print("="*60)
    
    leagues_path = os.path.join(ROOT_DIR, "top_leagues.json")
    with open(leagues_path, 'r') as f:
        top_leagues = json.load(f)
    league_ids = tuple(str(lid) for lid in top_leagues)

    dsn = get_clean_dsn()
    conn = psycopg2.connect(dsn)
    cur = conn.cursor(cursor_factory=RealDictCursor)

    cur.execute("""
        SELECT m.id, m.match_name, m.home_team_id, m.away_team_id,
               m.score_home, m.score_away, m.league_id,
               t1.name as home_team, t2.name as away_team
        FROM matches m
        LEFT JOIN teams t1 ON m.home_team_id = t1.id
        LEFT JOIN teams t2 ON m.away_team_id = t2.id
        WHERE m.league_id IN %s
          AND m.status = 'FT'
          AND m.score_home IS NOT NULL
          AND EXISTS (SELECT 1 FROM odd_categories oc WHERE oc.match_id = m.id)
        ORDER BY m.mst_utc DESC
        LIMIT 500
    """, (league_ids,))
    
    rows = cur.fetchall()
    print(f"📊 {len(rows)} maç analiz ediliyor...\n")

    try: orchestrator = get_single_match_orchestrator()
    except Exception as e:
        print(f"❌ AI Hatası: {e}")
        return

    # Market Stats: { "MS": {"won": 10, "lost": 20, "profit": -5.0}, ... }
    market_stats = defaultdict(lambda: {"won": 0, "lost": 0, "profit": 0.0, "total": 0})
    
    for i, row in enumerate(rows):
        match_id = str(row['id'])
        h_score = row['score_home'] or 0
        a_score = row['score_away'] or 0

        try:
            pred = orchestrator.analyze_match(match_id)
            if not pred: continue

            candidates = []
            if pred.get("expert_recommendation"):
                rec = pred["expert_recommendation"]
                if rec.get("main_pick"): candidates.append(rec["main_pick"])
                if rec.get("value_picks"): candidates.extend(rec["value_picks"])
            elif pred.get("main_pick"):
                candidates.append(pred["main_pick"])

            played_this = False
            for c in candidates:
                if not c: continue
                conf = c.get("confidence", 0)
                odds = c.get("odds", 0)
                pick = str(c.get("pick")).upper()
                market_type = c.get("market_type", "Unknown")

                # Criteria
                if conf >= 60 and odds > 1.10:
                    implied = 1.0 / odds
                    edge = ((conf/100) - implied) * 100
                    if edge > -2.0:
                        # Resolve
                        won = False
                        if pick in ["1", "MS 1"] and h_score > a_score: won = True
                        elif pick in ["X", "MS X"] and h_score == a_score: won = True
                        elif pick in ["2", "MS 2"] and a_score > h_score: won = True
                        elif pick in ["1X", "X2"]:
                            if "1X" in pick and h_score >= a_score: won = True
                            elif "X2" in pick and a_score >= h_score: won = True
                        elif pick == "12" and h_score != a_score: won = True
                        elif "ÜST" in pick or "OVER" in pick:
                            line = 2.5
                            if "1.5" in pick: line = 1.5
                            elif "3.5" in pick: line = 3.5
                            if (h_score + a_score) > line: won = True
                        elif "ALT" in pick or "UNDER" in pick:
                            line = 2.5
                            if "1.5" in pick: line = 1.5
                            elif "3.5" in pick: line = 3.5
                            if (h_score + a_score) < line: won = True
                        elif "VAR" in pick and h_score > 0 and a_score > 0: won = True
                        elif "YOK" in pick and (h_score == 0 or a_score == 0): won = True

                        market_stats[market_type]["total"] += 1
                        if won:
                            market_stats[market_type]["won"] += 1
                            market_stats[market_type]["profit"] += (odds - 1.0)
                        else:
                            market_stats[market_type]["lost"] += 1
                            market_stats[market_type]["profit"] -= 1.0
                        
                        played_this = True
                        break # Only one bet per match

        except: pass

    # Print Results
    print("\n" + "="*60)
    print("📊 PAZAR BAZLI KAR/ZARAR TABLOSU")
    print("="*60)
    print(f"{'Market':<15} {'Oynanan':<10} {'Kazanılan':<10} {'Win%':<8} {'Kâr':<10}")
    print("-" * 60)

    for mkt, stats in sorted(market_stats.items(), key=lambda x: x[1]["profit"], reverse=True):
        wr = (stats["won"] / stats["total"] * 100) if stats["total"] > 0 else 0
        print(f"{mkt:<15} {stats['total']:<10} {stats['won']:<10} {wr:.1f}%   {stats['profit']:+.2f} Units")

    cur.close()
    conn.close()

if __name__ == "__main__":
    run_diagnostic()