dd1413f3eb
Add comprehensive test suites for prompt evaluation: - test_prompt_accuracy.py: 365 lines testing prompt extraction accuracy - test_prompt_quality_deep.py: 672 lines for deep quality analysis - Refactor prompt.py to consolidate optimized variants (removed prompt_optimized.py) - Apply ruff formatting and type hints across 30 files - Update pyrightconfig.json for static type checking - Modernize reproduce scripts and examples with improved type annotations - Sync uv.lock dependencies
85 lines
3 KiB
Python
85 lines
3 KiB
Python
import json
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import re
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from lightrag import LightRAG, QueryParam
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from lightrag.utils import always_get_an_event_loop, logger
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def extract_queries(file_path):
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try:
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logger.info(f'Reading queries from {file_path}')
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with open(file_path, encoding='utf-8') as f:
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data = f.read()
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except FileNotFoundError:
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logger.error(f'File not found: {file_path}')
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return []
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except OSError as exc:
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logger.error(f'Error reading file {file_path}: {exc}')
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return []
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data = data.replace('**', '')
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queries = re.findall(r'- Question \d+: (.+)', data)
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if not queries:
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logger.warning(f'No queries found in {file_path}; unexpected format?')
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logger.info(f'Extracted {len(queries)} queries')
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return queries
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async def process_query(query_text, rag_instance, query_param):
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try:
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logger.debug(f'Processing query: {query_text[:100]}...')
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result = await rag_instance.aquery(query_text, param=query_param)
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return {'query': query_text, 'result': result}, None
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except Exception as e:
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logger.error(f'Error processing query: {e}', exc_info=True)
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return None, {'query': query_text, 'error': str(e)}
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def run_queries_and_save_to_json(queries, rag_instance, query_param, output_file, error_file):
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loop = always_get_an_event_loop()
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with (
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open(output_file, 'a', encoding='utf-8') as result_file,
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open(error_file, 'a', encoding='utf-8') as err_file,
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):
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result_file.write('[\n')
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first_entry = True
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for query_text in queries:
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try:
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result, error = loop.run_until_complete(process_query(query_text, rag_instance, query_param))
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except RuntimeError as e:
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if 'attached to a different loop' in str(e):
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logger.error(f'Event loop mismatch while processing query: {e}')
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error = {'query': query_text, 'error': f'Event loop error: {e}'}
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result = None
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else:
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raise
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except Exception as e:
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logger.error(f'Unexpected error running query: {e}', exc_info=True)
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error = {'query': query_text, 'error': f'Unexpected error: {e}'}
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result = None
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if result:
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if not first_entry:
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result_file.write(',\n')
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json.dump(result, result_file, ensure_ascii=False, indent=4)
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first_entry = False
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elif error:
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json.dump(error, err_file, ensure_ascii=False, indent=4)
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err_file.write('\n')
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result_file.write('\n]')
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if __name__ == '__main__':
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cls = 'agriculture'
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mode = 'hybrid'
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WORKING_DIR = f'../{cls}'
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rag = LightRAG(working_dir=WORKING_DIR)
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query_param = QueryParam(mode=mode)
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queries = extract_queries(f'../datasets/questions/{cls}_questions.txt')
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run_queries_and_save_to_json(queries, rag, query_param, f'{cls}_result.json', f'{cls}_errors.json')
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