update reproduce

reproduce/Step_3.py

@@ -0,0 +1,62 @@
+import re
+import json
+import asyncio
+from lightrag import LightRAG, QueryParam
+from tqdm import tqdm
+
+def extract_queries(file_path):
+    with open(file_path, 'r') 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, context = await rag_instance.aquery(query_text, param=query_param)
+        return {"query": query_text, "result": result, "context": context}, None
+    except Exception as e:
+        return None, {"query": query_text, "error": str(e)}
+
+def always_get_an_event_loop() -> asyncio.AbstractEventLoop:
+    try:
+        loop = asyncio.get_event_loop()
+    except RuntimeError:
+        loop = asyncio.new_event_loop()
+        asyncio.set_event_loop(loop)
+    return loop
+
+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 tqdm(queries, desc="Processing queries", unit="query"):
+            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 = "hybird"
+    WORKING_DIR = "../{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, "result.json", "errors.json")