import os
import zipfile
from io import BytesIO

# Create the complete project structure with all files

# File contents dictionary
files_content = {}

# 1. requirements.txt
files_content['requirements.txt'] = """# Core Dependencies
selenium==4.15.2
undetected-chromedriver==3.5.4
beautifulsoup4==4.12.2
lxml==4.9.3
requests==2.31.0

# Data Handling
pandas==2.1.3
python-dotenv==1.0.0
pyyaml==6.0.1

# Database
sqlalchemy==2.0.23

# AI Integration (Optional)
openai==1.3.7
google-generativeai==0.3.1

# Utilities
colorama==0.4.6
tqdm==4.66.1
python-dateutil==2.8.2

# Web Scraping Advanced
scrapy==2.11.0
playwright==1.40.0
"""

# 2. main.py
files_content['main.py'] = """#!/usr/bin/env python3
\"\"\"
AI Job Application Agent
Main entry point for the automated job application system
\"\"\"

import sys
import argparse
from colorama import init, Fore, Style
from config.settings import Settings
from scrapers.linkedin_scraper import LinkedInScraper
from scrapers.naukri_scraper import NaukriScraper
from scrapers.hirist_scraper import HiristScraper
from scrapers.remote_jobs_scraper import RemoteJobsScraper
from automation.application_submitter import ApplicationSubmitter
from database.db_manager import DatabaseManager
from utils.logger import setup_logger

# Initialize colorama for colored terminal output
init(autoreset=True)

def print_banner():
    \"\"\"Print application banner\"\"\"
    banner = f\"\"\"
    {Fore.CYAN}{'='*80}
    {Fore.GREEN}
    ╔═══════════════════════════════════════════════════════════════╗
    ║     AI JOB APPLICATION AGENT - AUTOMATED JOB HUNTER          ║
    ║                  Version 1.0.0                               ║
    ╚═══════════════════════════════════════════════════════════════╝
    {Fore.CYAN}
    Supported Platforms: LinkedIn | Naukri | Hirist | Remote Jobs
    {'='*80}
    {Style.RESET_ALL}
    \"\"\"
    print(banner)

def main():
    \"\"\"Main function to run the job application agent\"\"\"
    print_banner()
    
    # Setup logger
    logger = setup_logger()
    logger.info("Starting AI Job Application Agent...")
    
    # Parse command line arguments
    parser = argparse.ArgumentParser(description='AI Job Application Agent')
    parser.add_argument('--platform', type=str, help='Platform to apply on (linkedin/naukri/hirist/remote/all)')
    parser.add_argument('--max-apps', type=int, help='Maximum number of applications')
    parser.add_argument('--dry-run', action='store_true', help='Run without actually applying')
    parser.add_argument('--config', action='store_true', help='Configure user profile')
    args = parser.parse_args()
    
    # Load settings
    settings = Settings()
    
    # Configure profile if requested
    if args.config:
        from config.user_profile import configure_profile
        configure_profile()
        return
    
    # Initialize database
    db_manager = DatabaseManager()
    
    # Initialize scrapers
    scrapers = {
        'linkedin': LinkedInScraper(settings),
        'naukri': NaukriScraper(settings),
        'hirist': HiristScraper(settings),
        'remote': RemoteJobsScraper(settings)
    }
    
    # Determine which platforms to use
    platforms = []
    if args.platform:
        if args.platform.lower() == 'all':
            platforms = list(scrapers.keys())
        elif args.platform.lower() in scrapers:
            platforms = [args.platform.lower()]
        else:
            logger.error(f"Unknown platform: {args.platform}")
            return
    else:
        # Use all platforms by default
        platforms = list(scrapers.keys())
    
    logger.info(f"Active platforms: {', '.join(platforms)}")
    
    # Initialize application submitter
    app_submitter = ApplicationSubmitter(settings, db_manager)
    
    # Main application loop
    total_applications = 0
    max_applications = args.max_apps or settings.max_applications_per_day
    
    for platform in platforms:
        logger.info(f"\\nProcessing {platform.upper()}...")
        scraper = scrapers[platform]
        
        try:
            # Scrape jobs
            jobs = scraper.scrape_jobs()
            logger.info(f"Found {len(jobs)} jobs on {platform}")
            
            # Filter and apply
            for job in jobs:
                if total_applications >= max_applications:
                    logger.warning(f"Reached maximum applications limit: {max_applications}")
                    break
                
                # Check if already applied
                if db_manager.is_already_applied(job['url']):
                    logger.info(f"Already applied to: {job['title']} at {job['company']}")
                    continue
                
                # Apply to job
                if not args.dry_run:
                    success = app_submitter.apply_to_job(job, platform)
                    if success:
                        total_applications += 1
                        logger.info(f"✓ Applied to: {job['title']} at {job['company']}")
                else:
                    logger.info(f"[DRY RUN] Would apply to: {job['title']} at {job['company']}")
                    total_applications += 1
                    
        except Exception as e:
            logger.error(f"Error processing {platform}: {str(e)}")
            continue
    
    # Generate report
    logger.info(f"\\n{Fore.GREEN}{'='*80}")
    logger.info(f"Session Complete!")
    logger.info(f"Total applications submitted: {total_applications}")
    logger.info(f"{'='*80}{Style.RESET_ALL}")
    
    # Cleanup
    for scraper in scrapers.values():
        scraper.close()

if __name__ == "__main__":
    try:
        main()
    except KeyboardInterrupt:
        print(f"\\n{Fore.YELLOW}Application interrupted by user. Exiting...{Style.RESET_ALL}")
        sys.exit(0)
    except Exception as e:
        print(f"{Fore.RED}Fatal error: {str(e)}{Style.RESET_ALL}")
        sys.exit(1)
"""

# 3. .env.example
files_content['.env.example'] = """# LinkedIn Credentials
LINKEDIN_EMAIL=your.email@example.com
LINKEDIN_PASSWORD=your_password

# Naukri Credentials
NAUKRI_EMAIL=your.email@example.com
NAUKRI_PASSWORD=your_password

# Hirist Credentials
HIRIST_EMAIL=your.email@example.com
HIRIST_PASSWORD=your_password

# AI API Keys (Optional - for intelligent question answering)
OPENAI_API_KEY=your_openai_api_key
GEMINI_API_KEY=your_gemini_api_key

# Database Configuration
DATABASE_PATH=data/jobs.db

# Logging
LOG_LEVEL=INFO
LOG_FILE=data/logs/app.log
"""

# 4. config.yaml
files_content['config.yaml'] = """# Job Application Agent Configuration

# User Profile
user:
  name: "Your Full Name"
  email: "your.email@example.com"
  phone: "+91-XXXXXXXXXX"
  current_location: "Bangalore, India"
  
  # Work Experience (years)
  experience_years: 5
  
  # Current/Expected Salary (in Lakhs per annum)
  current_salary: 12
  expected_salary: 18
  
  # Notice Period (in days)
  notice_period: 30
  
  # Skills (comma-separated)
  skills:
    - Python
    - Kubernetes
    - AWS
    - CI/CD
    - DevOps
    - Docker
    - Terraform
  
  # Resume Path
  resume_path: "resumes/default_resume.pdf"
  cover_letter_path: "resumes/cover_letter_template.txt"

# Job Search Preferences
job_preferences:
  # Job titles to search for
  job_titles:
    - "DevOps Engineer"
    - "Cloud Engineer"
    - "SRE"
    - "Platform Engineer"
  
  # Locations
  locations:
    - "Bangalore"
    - "Remote"
    - "Hyderabad"
    - "Pune"
  
  # Experience Level
  experience_level:
    - "Mid-Senior level"
    - "Senior level"
  
  # Job Type
  job_types:
    - "Full-time"
    - "Contract"
  
  # Work Mode
  work_mode:
    - "Remote"
    - "Hybrid"
    - "On-site"
  
  # Minimum Salary (LPA)
  min_salary: 15
  
  # Maximum Applications Per Day
  max_applications_per_day: 50
  
  # Auto-apply only to Easy Apply jobs
  easy_apply_only: true

# Platform Settings
platforms:
  linkedin:
    enabled: true
    easy_apply_only: true
  
  naukri:
    enabled: true
    instant_apply_only: true
  
  hirist:
    enabled: true
  
  remote_jobs:
    enabled: true
    # Remote job board APIs
    boards:
      - "himalayas"
      - "remotive"
      - "weworkremotely"

# Automation Settings
automation:
  # Random delay between actions (seconds)
  min_delay: 2
  max_delay: 5
  
  # Pause before submission (for review)
  pause_before_submit: false
  
  # Headless mode (run browser in background)
  headless: false
  
  # Save screenshots on errors
  screenshot_on_error: true
  
  # Maximum retries on failure
  max_retries: 3

# AI Question Answering
ai_settings:
  enabled: false
  provider: "gemini"  # or "openai"
  model: "gemini-pro"
  
  # Fallback answers for common questions
  fallback_answers:
    "why_want_to_join": "I am excited about this opportunity as it aligns perfectly with my career goals and expertise in cloud technologies and DevOps practices."
    "notice_period": "30 days"
    "willing_to_relocate": "Yes"
"""

print("Created main configuration files")
print("Total files created:", len(files_content))