cdd53ee875
- Auto-init pipeline status in storages - Remove redundant import statements - Simplify initialization pattern - Update docs and examples
49 lines
1.1 KiB
Python
49 lines
1.1 KiB
Python
import os
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import json
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import time
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import asyncio
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from lightrag import LightRAG
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def insert_text(rag, file_path):
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with open(file_path, mode="r") as f:
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unique_contexts = json.load(f)
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retries = 0
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max_retries = 3
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while retries < max_retries:
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try:
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rag.insert(unique_contexts)
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break
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except Exception as e:
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retries += 1
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print(f"Insertion failed, retrying ({retries}/{max_retries}), error: {e}")
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time.sleep(10)
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if retries == max_retries:
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print("Insertion failed after exceeding the maximum number of retries")
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cls = "agriculture"
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WORKING_DIR = f"../{cls}"
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if not os.path.exists(WORKING_DIR):
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os.mkdir(WORKING_DIR)
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async def initialize_rag():
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rag = LightRAG(working_dir=WORKING_DIR)
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await rag.initialize_storages() # Auto-initializes pipeline_status
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return rag
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def main():
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# Initialize RAG instance
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rag = asyncio.run(initialize_rag())
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insert_text(rag, f"../datasets/unique_contexts/{cls}_unique_contexts.json")
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if __name__ == "__main__":
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main()
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