# -*- coding: utf-8 -*-
import os
import sys
import csv
import sqlite3
import json

ROOT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
CSV_PATH = os.path.join(ROOT_DIR, "Monte Providencia - Verificador de sucursales y correos - Sucursales.csv")
from paths import DB_PATH

def load_full_autos_branches():
    if not os.path.exists(CSV_PATH):
        print(f"Error: El archivo CSV de sucursales no existe en {CSV_PATH}")
        sys.exit(1)
        
    branches = []
    with open(CSV_PATH, mode="r", encoding="utf-8-sig", newline="") as fh:
        reader = csv.DictReader(fh)
        for row in reader:
            tipo = (row.get("TIPO DE TIENDA") or "").strip().upper()
            if tipo == "FULL AUTOS":
                branches.append({
                    "sucursal": (row.get("SUCURSAL") or "").strip(),
                    "tienda": (row.get("TIENDA") or "").strip(),
                    "correo_tienda": (row.get("CORREO TIENDA") or "").strip(),
                    "sc_bucefalo": (row.get("SC BUCEFALO") or "").strip(),
                    "location_id": (row.get("ID LOCATION BUCEFALO") or "").strip()
                })
    return branches

def main():
    if hasattr(sys.stdout, "reconfigure"):
        sys.stdout.reconfigure(encoding="utf-8")
        
    print("=== CONTROL DE SCRIPTS: full_autos_investigation.py ===")
    print("Descripción: Investiga y reporta contactos y oportunidades de sucursales FULL AUTOS.")
    print("-" * 110)
    
    # 1. Cargar sucursales FULL AUTOS de la CSV
    branches = load_full_autos_branches()
    if not branches:
        print("No se encontraron sucursales con TIPO DE TIENDA = 'FULL AUTOS' en el archivo CSV.")
        return
        
    print(f"Se detectaron {len(branches)} sucursales clasificadas como FULL AUTOS en el archivo CSV:")
    for b in branches:
        print(f" - {b['tienda']} / {b['sucursal']} (Location ID: {b['location_id']})")
    print("-" * 110)
    
    # 2. Conectar a la base de datos
    if not os.path.exists(DB_PATH):
        print(f"Base de datos SQLite no detectada en: {DB_PATH}")
        print("Requiere sincronización previa desde el dashboard.")
        return
        
    conn = sqlite3.connect(DB_PATH)
    conn.row_factory = sqlite3.Row
    
    try:
        # Traer todas las pipelines de la DB para poder resolver nombres de pipelines/stages
        pipelines_rows = conn.execute("SELECT id, location_id, name, stages_json FROM pipelines").fetchall()
        # Mapeo de (location_id, pipeline_id) -> pipeline_name
        # Mapeo de (location_id, pipeline_id, stage_id) -> stage_name
        pipelines_map = {}
        stages_map = {}
        for p in pipelines_rows:
            loc_id = p['location_id']
            p_id = p['id']
            pipelines_map[(loc_id, p_id)] = p['name']
            
            try:
                stages = json.loads(p['stages_json'])
                for s in stages:
                    stages_map[(loc_id, p_id, s['id'])] = s['name']
            except Exception:
                pass
                
        # Totales globales de FULL AUTOS
        grand_total_contacts = 0
        grand_total_opps = 0
        grand_total_value = 0.0
        
        status_totals = {"open": 0, "won": 0, "lost": 0, "abandoned": 0}
        
        # Guardaremos datos por sucursal para armar un resumen
        branch_reports = []
        synced_count = 0
        
        for b in branches:
            loc_id = b['location_id']
            
            # Verificar si existe la cuenta en la DB
            acc_row = conn.execute("SELECT nombre FROM accounts WHERE location_id = ?", (loc_id,)).fetchone()
            if not acc_row:
                branch_reports.append({
                    "branch": b,
                    "synced": False,
                    "contacts_count": 0,
                    "opps_count": 0,
                    "monetary_value": 0.0,
                    "status_breakdown": {},
                    "pipelines_breakdown": {}
                })
                continue
                
            synced_count += 1
            # Cantidad de contactos
            contacts_count = conn.execute("SELECT COUNT(*) FROM contacts WHERE location_id = ?", (loc_id,)).fetchone()[0]
            
            # Oportunidades y valor total
            opps_rows = conn.execute("""
                SELECT id, name, status, pipeline_id, pipeline_stage_id, monetary_value, contact_id, date_added 
                FROM opportunities 
                WHERE location_id = ?
            """, (loc_id,)).fetchall()
            
            opps_count = len(opps_rows)
            total_val = 0.0
            b_status_counts = {"open": 0, "won": 0, "lost": 0, "abandoned": 0}
            b_pipelines = {} # pipeline_id -> { "name": ..., "count": ..., "stages": { stage_id -> count } }
            
            for opp in opps_rows:
                status = (opp['status'] or 'open').lower()
                if status not in b_status_counts:
                    b_status_counts[status] = 0
                b_status_counts[status] += 1
                
                # Actualizar acumulador global
                if status in status_totals:
                    status_totals[status] += 1
                    
                val = opp['monetary_value'] or 0.0
                total_val += val
                
                p_id = opp['pipeline_id']
                s_id = opp['pipeline_stage_id']
                p_name = pipelines_map.get((loc_id, p_id), f"Pipeline Desconocido ({p_id})")
                s_name = stages_map.get((loc_id, p_id, s_id), f"Etapa Desconocida ({s_id})")
                
                if p_id not in b_pipelines:
                    b_pipelines[p_id] = {
                        "name": p_name,
                        "count": 0,
                        "stages": {}
                    }
                b_pipelines[p_id]["count"] += 1
                if s_id not in b_pipelines[p_id]["stages"]:
                    b_pipelines[p_id]["stages"][s_id] = {
                        "name": s_name,
                        "count": 0
                    }
                b_pipelines[p_id]["stages"][s_id]["count"] += 1
                
            grand_total_contacts += contacts_count
            grand_total_opps += opps_count
            grand_total_value += total_val
            
            branch_reports.append({
                "branch": b,
                "synced": True,
                "contacts_count": contacts_count,
                "opps_count": opps_count,
                "monetary_value": total_val,
                "status_breakdown": b_status_counts,
                "pipelines_breakdown": b_pipelines
            })
            
        # Imprimir reporte detallado por sucursal
        print("\n=== DETALLE POR SUCURSAL ===")
        for r in branch_reports:
            b = r['branch']
            print(f"\nSucursal: {b['tienda']} - {b['sucursal']}")
            print(f"Location ID: {b['location_id']}")
            print(f"Correo: {b['correo_tienda']}")
            
            if not r['synced']:
                print("   Status Sync: NO SINCRONIZADA en base de datos local (omitiendo estadísticas).")
                print("   " + "-"*40)
                continue
                
            print(f"   Contactos locales: {r['contacts_count']}")
            print(f"   Oportunidades locales: {r['opps_count']} (Valor total: ${r['monetary_value']:,.2f} MXN)")
            
            if r['opps_count'] > 0:
                print("   Desglose por Estado:")
                for st, count in r['status_breakdown'].items():
                    if count > 0:
                        print(f"     - {st.upper()}: {count}")
                        
                print("   Desglose por Pipeline / Etapa:")
                for p_id, p_info in r['pipelines_breakdown'].items():
                    print(f"     - Pipeline: '{p_info['name']}' (ID: {p_id}) - {p_info['count']} opps")
                    sorted_stages = sorted(p_info['stages'].items(), key=lambda x: x[1]['count'], reverse=True)
                    for s_id, s_info in sorted_stages:
                        print(f"       * Etapa: '{s_info['name']}' (ID: {s_id}) - {s_info['count']} opps")
            else:
                print("   Sin oportunidades registradas.")
            print("   " + "-"*40)
            
        # Imprimir resumen consolidado
        print("\n" + "="*110)
        print("=== RESUMEN CONSOLIDADO FULL AUTOS ===")
        print(f"Total de sucursales FULL AUTOS analizadas: {len(branches)}")
        print(f"Sucursales sincronizadas en base de datos: {synced_count} de {len(branches)}")
        print(f"Suma total de contactos: {grand_total_contacts:,}")
        print(f"Suma total de oportunidades: {grand_total_opps:,} (Valor total acumulado: ${grand_total_value:,.2f} MXN)")
        
        if grand_total_opps > 0:
            print("\nDesglose global por Estado de Oportunidad:")
            for st, count in status_totals.items():
                pct = (count / grand_total_opps) * 100
                print(f" - {st.upper():<10} : {count:>5} ({pct:.1f}%)")
        print("="*110)
        
        # Opcional: Mostrar las 10 oportunidades más recientes de estas sucursales
        print("\n=== ÚLTIMAS 10 OPORTUNIDADES REGISTRADAS EN SUCURSALES FULL AUTOS ===")
        loc_ids = [b['location_id'] for b in branches if b['location_id']]
        if loc_ids and synced_count > 0:
            placeholders = ",".join("?" for _ in loc_ids)
            recent_opps_sql = f"""
                SELECT o.id as opp_id, o.name as opp_name, o.status, o.monetary_value, o.date_added,
                       c.first_name, c.last_name, a.nombre as branch_name
                FROM opportunities o
                LEFT JOIN contacts c ON o.contact_id = c.id AND o.location_id = c.location_id
                JOIN accounts a ON o.location_id = a.location_id
                WHERE o.location_id IN ({placeholders})
                ORDER BY o.date_added DESC
                LIMIT 10
            """
            recent_opps = conn.execute(recent_opps_sql, loc_ids).fetchall()
            
            if recent_opps:
                print(f"{'#':<3} | {'Sucursal':<15} | {'Cliente':<25} | {'Oportunidad':<30} | {'Estado':<10} | {'Valor':<12} | {'Fecha':<20}")
                print("-" * 125)
                for idx, row in enumerate(recent_opps, 1):
                    branch_name = row['branch_name']
                    # Clean/shorten branch name
                    for token in ["mp", "-", "859", "0001", "qro", "demo", "plaza"]:
                        branch_name = branch_name.lower().replace(token, "")
                    branch_name = branch_name.strip().upper()
                    
                    client_name = f"{row['first_name'] or ''} {row['last_name'] or ''}".strip() or "N/A"
                    if len(client_name) > 24:
                        client_name = client_name[:21] + "..."
                        
                    opp_name = row['opp_name'] or ''
                    if len(opp_name) > 29:
                        opp_name = opp_name[:26] + "..."
                        
                    val_str = f"${row['monetary_value'] or 0.0:,.2f}"
                    date_str = row['date_added'] or 'N/A'
                    status_str = (row['status'] or 'OPEN').upper()
                    
                    print(f"{idx:02d}  | {branch_name:<15} | {client_name:<25} | {opp_name:<30} | {status_str:<10} | {val_str:<12} | {date_str:<20}")
                print("-" * 125)
            else:
                print("No se encontraron oportunidades registradas para estas sucursales.")
                
        # Opcional: Mostrar los 5 contactos más recientes de estas sucursales
        print("\n=== ÚLTIMOS 5 CONTACTOS REGISTRADOS EN SUCURSALES FULL AUTOS ===")
        if loc_ids and synced_count > 0:
            placeholders = ",".join("?" for _ in loc_ids)
            recent_contacts_sql = f"""
                SELECT c.id, c.first_name, c.last_name, c.email, c.phone, c.date_added, a.nombre as branch_name
                FROM contacts c
                JOIN accounts a ON c.location_id = a.location_id
                WHERE c.location_id IN ({placeholders})
                ORDER BY c.date_added DESC
                LIMIT 5
            """
            recent_contacts = conn.execute(recent_contacts_sql, loc_ids).fetchall()
            
            if recent_contacts:
                print(f"{'#':<3} | {'Sucursal':<15} | {'Cliente':<25} | {'Teléfono':<15} | {'Email':<30} | {'Fecha':<20}")
                print("-" * 115)
                for idx, row in enumerate(recent_contacts, 1):
                    branch_name = row['branch_name']
                    for token in ["mp", "-", "859", "0001", "qro", "demo", "plaza"]:
                        branch_name = branch_name.lower().replace(token, "")
                    branch_name = branch_name.strip().upper()
                    
                    client_name = f"{row['first_name'] or ''} {row['last_name'] or ''}".strip() or "N/A"
                    if len(client_name) > 24:
                        client_name = client_name[:21] + "..."
                        
                    phone = row['phone'] or 'N/A'
                    email = row['email'] or 'N/A'
                    date_str = row['date_added'] or 'N/A'
                    
                    print(f"{idx:02d}  | {branch_name:<15} | {client_name:<25} | {phone:<15} | {email:<30} | {date_str:<20}")
                print("-" * 115)
            else:
                print("No se encontraron contactos registrados para estas sucursales.")
                
    finally:
        conn.close()

if __name__ == '__main__':
    main()