mirror of
https://github.com/HKUDS/LightRAG.git
synced 2025-06-26 22:00:19 +00:00
52 lines
1.1 KiB
Python
52 lines
1.1 KiB
Python
import os
|
|
import json
|
|
import time
|
|
import asyncio
|
|
|
|
from lightrag import LightRAG
|
|
from lightrag.kg.shared_storage import initialize_pipeline_status
|
|
|
|
|
|
def insert_text(rag, file_path):
|
|
with open(file_path, mode="r") as f:
|
|
unique_contexts = json.load(f)
|
|
|
|
retries = 0
|
|
max_retries = 3
|
|
while retries < max_retries:
|
|
try:
|
|
rag.insert(unique_contexts)
|
|
break
|
|
except Exception as e:
|
|
retries += 1
|
|
print(f"Insertion failed, retrying ({retries}/{max_retries}), error: {e}")
|
|
time.sleep(10)
|
|
if retries == max_retries:
|
|
print("Insertion failed after exceeding the maximum number of retries")
|
|
|
|
|
|
cls = "agriculture"
|
|
WORKING_DIR = f"../{cls}"
|
|
|
|
if not os.path.exists(WORKING_DIR):
|
|
os.mkdir(WORKING_DIR)
|
|
|
|
|
|
async def initialize_rag():
|
|
rag = LightRAG(working_dir=WORKING_DIR)
|
|
|
|
await rag.initialize_storages()
|
|
await initialize_pipeline_status()
|
|
|
|
return rag
|
|
|
|
|
|
def main():
|
|
# Initialize RAG instance
|
|
rag = asyncio.run(initialize_rag())
|
|
insert_text(rag, f"../datasets/unique_contexts/{cls}_unique_contexts.json")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|