#!/usr/bin/env python3
"""
Austrian ISIL Scraper using Playwright MCP integration
Scrapes all Austrian ISIL codes from https://www.isil.at
"""

import json
import csv
from pathlib import Path
from datetime import datetime
import time

# NOTE: This script is designed to work with Playwright MCP server
# Run via OpenCODE which provides the MCP integration

def main():
    """Main scraping workflow"""
    
    output_dir = Path("data/isil/austria")
    output_dir.mkdir(parents=True, exist_ok=True)
    
    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
    json_output = output_dir / f"austrian_isil_{timestamp}.json"
    csv_output = output_dir / f"austrian_isil_{timestamp}.csv"
    
    all_institutions = []
    
    # Base URL with pagination
    base_url = "https://www.isil.at/primo-explore/search?query=any,contains,AT-&tab=default_tab&search_scope=default_scope&vid=AIS&offset="
    
    # Total results: 1,934 (as of Nov 2024)
    # 50 results per page = 39 pages
    total_pages = 39
    results_per_page = 50
    
    print(f"Starting Austrian ISIL scraper...")
    print(f"Total estimated pages: {total_pages}")
    print(f"Results per page: {results_per_page}")
    print(f"Expected total: ~1,934 institutions\n")
    
    for page_num in range(total_pages):
        offset = page_num * results_per_page
        url = f"{base_url}{offset}"
        
        print(f"\n{'='*60}")
        print(f"Page {page_num + 1}/{total_pages} (offset {offset})")
        print(f"URL: {url}")
        print(f"{'='*60}")
        
        # This would be called via MCP - placeholder for structure
        # In actual use, OpenCODE MCP integration handles this
        
        # Extract data from current page
        # (In real implementation, this uses playwright_browser_evaluate via MCP)
        page_data = extract_page_data_mcp(url)
        
        if page_data:
            all_institutions.extend(page_data)
            print(f"✓ Extracted {len(page_data)} institutions (Total: {len(all_institutions)})")
        else:
            print(f"✗ No data extracted from page {page_num + 1}")
        
        # Rate limiting - be respectful
        if page_num < total_pages - 1:
            print(f"Waiting 3 seconds before next page...")
            time.sleep(3)
    
    print(f"\n{'='*60}")
    print(f"Scraping complete!")
    print(f"Total institutions extracted: {len(all_institutions)}")
    print(f"{'='*60}\n")
    
    # Save to JSON
    with open(json_output, 'w', encoding='utf-8') as f:
        json.dump({
            'extraction_date': datetime.now().isoformat(),
            'source_url': 'https://www.isil.at',
            'total_count': len(all_institutions),
            'institutions': all_institutions
        }, f, ensure_ascii=False, indent=2)
    print(f"✓ Saved JSON: {json_output}")
    
    # Save to CSV
    with open(csv_output, 'w', encoding='utf-8', newline='') as f:
        writer = csv.DictWriter(f, fieldnames=['name', 'isil'])
        writer.writeheader()
        writer.writerows(all_institutions)
    print(f"✓ Saved CSV: {csv_output}")
    
    print(f"\nNext steps:")
    print(f"1. Review extracted data in: {output_dir}")
    print(f"2. Parse into LinkML format using: scripts/parse_austrian_isil.py")
    print(f"3. Enrich with Wikidata using: scripts/enrich_austrian_institutions.py")


def extract_page_data_mcp(url):
    """
    Extract institution data from a single page
    
    NOTE: In actual use, this function would be replaced by direct
    MCP tool calls (playwright_browser_navigate, playwright_browser_evaluate)
    via OpenCODE's MCP integration.
    
    Args:
        url: Page URL to scrape
        
    Returns:
        List of dicts with 'name' and 'isil' keys
    """
    # Placeholder - in real use, this is handled by OpenCODE MCP tools
    # See: playwright_browser_navigate(url)
    #      playwright_browser_wait_for(time=5)
    #      playwright_browser_evaluate(function="...")
    
    return []


if __name__ == "__main__":
    main()