import sys import os import asyncio import argparse sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))) from report.report_synthesis import ReportSynthesizer from report.report_templates import QueryType, DetailLevel async def generate_report(query_type, detail_level, query, chunks): """Generate a report with the specified parameters.""" synthesizer = ReportSynthesizer() print(f"\n{'='*80}") print(f"Generating {detail_level} report with {query_type} query type") print(f"{'='*80}") # Convert string values to enum objects query_type_enum = QueryType(query_type) detail_level_enum = DetailLevel(detail_level) report = await synthesizer.synthesize_report( query_type=query_type_enum.value, detail_level=detail_level_enum.value, query=query, chunks=chunks ) print(f"\nGenerated Report:\n") print(report) return report async def main(): parser = argparse.ArgumentParser(description='Test report generation with different detail levels') parser.add_argument('--query-type', choices=['factual', 'exploratory', 'comparative'], default='factual', help='Query type to test (default: factual)') parser.add_argument('--detail-level', choices=['brief', 'standard', 'detailed', 'comprehensive'], default=None, help='Detail level to test (default: test all)') args = parser.parse_args() # Test data queries = { 'factual': "What is the capital of France?", 'exploratory': "How do electric vehicles impact the environment?", 'comparative': "Compare solar and wind energy technologies." } chunks = { 'factual': [ { 'content': 'Paris is the capital of France. It is located in the north-central part of the country.', 'source': 'Wikipedia', 'url': 'https://en.wikipedia.org/wiki/Paris' } ], 'exploratory': [ { 'content': 'Electric vehicles produce zero direct emissions, which improves air quality in urban areas.', 'source': 'EPA', 'url': 'https://www.epa.gov/greenvehicles/electric-vehicles' }, { 'content': 'The environmental impact of electric vehicles depends on how the electricity is generated. Renewable sources make EVs more environmentally friendly.', 'source': 'Energy.gov', 'url': 'https://www.energy.gov/eere/electricvehicles/electric-vehicle-benefits' } ], 'comparative': [ { 'content': 'Solar energy is generated by converting sunlight into electricity using photovoltaic cells or concentrated solar power.', 'source': 'National Renewable Energy Laboratory', 'url': 'https://www.nrel.gov/research/re-solar.html' }, { 'content': 'Wind energy is generated by using wind turbines to create mechanical power that can be converted into electricity.', 'source': 'Department of Energy', 'url': 'https://www.energy.gov/eere/wind/how-do-wind-turbines-work' }, { 'content': 'Solar energy works best in sunny areas, while wind energy is more effective in windy regions. Both have different land use requirements.', 'source': 'Renewable Energy World', 'url': 'https://www.renewableenergyworld.com/solar/solar-vs-wind/' } ] } # Get the query type to test query_type = args.query_type query = queries[query_type] test_chunks = chunks[query_type] # Test all detail levels or just the specified one detail_levels = ['brief', 'standard', 'detailed', 'comprehensive'] if args.detail_level is None else [args.detail_level] for detail_level in detail_levels: await generate_report(query_type, detail_level, query, test_chunks) if __name__ == "__main__": asyncio.run(main())