import json
import re

from lightrag import LightRAG, QueryParam
from lightrag.utils import always_get_an_event_loop


def extract_queries(file_path):
    with open(file_path) as f:
        data = f.read()

    data = data.replace('**', '')

    queries = re.findall(r'- Question \d+: (.+)', data)

    return queries


async def process_query(query_text, rag_instance, query_param):
    try:
        result = await rag_instance.aquery(query_text, param=query_param)
        return {'query': query_text, 'result': result}, None
    except Exception as e:
        return None, {'query': query_text, 'error': str(e)}


def run_queries_and_save_to_json(queries, rag_instance, query_param, output_file, error_file):
    loop = always_get_an_event_loop()

    with (
        open(output_file, 'a', encoding='utf-8') as result_file,
        open(error_file, 'a', encoding='utf-8') as err_file,
    ):
        result_file.write('[\n')
        first_entry = True

        for query_text in queries:
            result, error = loop.run_until_complete(process_query(query_text, rag_instance, query_param))

            if result:
                if not first_entry:
                    result_file.write(',\n')
                json.dump(result, result_file, ensure_ascii=False, indent=4)
                first_entry = False
            elif error:
                json.dump(error, err_file, ensure_ascii=False, indent=4)
                err_file.write('\n')

        result_file.write('\n]')


if __name__ == '__main__':
    cls = 'agriculture'
    mode = 'hybrid'
    WORKING_DIR = f'../{cls}'

    rag = LightRAG(working_dir=WORKING_DIR)
    query_param = QueryParam(mode=mode)

    queries = extract_queries(f'../datasets/questions/{cls}_questions.txt')
    run_queries_and_save_to_json(queries, rag, query_param, f'{cls}_result.json', f'{cls}_errors.json')