import os
import sys
import re
import logging
import requests
import json
from datetime import datetime
from dotenv import load_dotenv

# Ensure we can import from root directory
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))

# Import db functions and parsers
try:
    from db import insert_lead, init_db
    from ingest import parse_roboplanet_form, parse_tradingtwins_html, is_free_mail
except ImportError:
    # Fallback for direct execution
    sys.path.append(os.path.dirname(__file__))
    from db import insert_lead, init_db
    from ingest import parse_roboplanet_form, parse_tradingtwins_html, is_free_mail

# Configuration
env_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '.env'))
load_dotenv(dotenv_path=env_path, override=True)

CLIENT_ID = os.getenv("INFO_Application_ID")
TENANT_ID = os.getenv("INFO_Tenant_ID")
CLIENT_SECRET = os.getenv("INFO_Secret")
USER_EMAIL = "info@robo-planet.de"

# Setup logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)

def get_access_token():
    url = f"https://login.microsoftonline.com/{TENANT_ID}/oauth2/v2.0/token"
    data = {
        "client_id": CLIENT_ID,
        "scope": "https://graph.microsoft.com/.default",
        "client_secret": CLIENT_SECRET,
        "grant_type": "client_credentials"
    }
    response = requests.post(url, data=data)
    response.raise_for_status()
    return response.json().get("access_token")

def fetch_new_leads_emails(token, limit=200):
    url = f"https://graph.microsoft.com/v1.0/users/{USER_EMAIL}/messages"
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json"
    }
    
    params = {
        "$top": limit,
        "$select": "id,subject,receivedDateTime,body",
        "$orderby": "receivedDateTime desc"
    }
    
    response = requests.get(url, headers=headers, params=params)
    if response.status_code != 200:
        logger.error(f"Graph API Error: {response.status_code} - {response.text}")
        return []
    
    all_msgs = response.json().get("value", [])
    
    # Filter client-side for both TradingTwins and Roboplanet contact forms
    filtered = [m for m in all_msgs if (
        "Neue Anfrage zum Thema Roboter" in (m.get('subject') or '') or
        "Kontaktformular Roboplanet" in (m.get('subject') or '')
    )]
    return filtered

def process_leads(auto_sync=False):
    init_db()
    new_count = 0
    try:
        token = get_access_token()
        emails = fetch_new_leads_emails(token) # Use the new function
        logger.info(f"Found {len(emails)} potential lead emails.")
        
        for email in emails:
            subject = email.get('subject') or ''
            body = email.get('body', {}).get('content', '')
            received_at_str = email.get('receivedDateTime')
            
            received_at = None
            if received_at_str:
                try:
                    received_at = datetime.fromisoformat(received_at_str.replace('Z', '+00:00'))
                except:
                    pass

            lead_data = {}
            source_prefix = "unknown"
            source_display_name = "Unknown"

            if "Neue Anfrage zum Thema Roboter" in subject:
                lead_data = parse_tradingtwins_html(body)
                source_prefix = "tt"
                source_display_name = "TradingTwins"
            elif "Kontaktformular Roboplanet" in subject:
                lead_data = parse_roboplanet_form(body)
                source_prefix = "rp"
                source_display_name = "Website-Formular"
            else:
                # Should not happen with current filtering, but good for robustness
                logger.warning(f"Skipping unknown email type: {subject}")
                continue
            
            lead_data['source'] = source_display_name # Add the new source field for the DB
            lead_data['raw_body'] = body
            lead_data['received_at'] = received_at

            # Apply general quality checks (if not already done by parser)
            if 'is_free_mail' not in lead_data: 
                lead_data['is_free_mail'] = is_free_mail(lead_data.get('email', ''))
            if 'is_low_quality' not in lead_data:
                company_name_check = lead_data.get('company', '')
                # Consider company name '-' as missing/invalid
                if company_name_check == '-': company_name_check = '' 
                lead_data['is_low_quality'] = lead_data['is_free_mail'] or not company_name_check

            company_name = lead_data.get('company')
            if not company_name or company_name == '-':
                # Fallback: if company name is missing, use contact name as company
                company_name = lead_data.get('contact')
                lead_data['company'] = company_name
            
            if not company_name:
                logger.warning(f"Skipping lead due to missing company and contact name: {subject}")
                continue
                
            # Ensure source_id and 'id' for db.py compatibility
            if not lead_data.get('source_id'):
                 lead_data['source_id'] = f"{source_prefix}_unknown_{int(datetime.now().timestamp())}"
            lead_data['id'] = lead_data['source_id'] # db.py expects 'id' for source_id column
            
            if insert_lead(lead_data):
                logger.info(f" -> Ingested ({source_prefix}): {company_name}")
                new_count += 1
        
        if new_count > 0 and auto_sync:
            logger.info(f"Triggering auto-sync for {new_count} new leads...")
            from enrich import run_sync
            run_sync()
                 
        return new_count
            
    except Exception as e:
        logger.error(f"Error in process_leads: {e}")
        return 0

if __name__ == "__main__":
    count = process_leads()
    print(f"Ingested {count} new leads.")