69358d830d
Format entire codebase with ruff and add type hints across all modules: - Apply ruff formatting to all Python files (121 files, 17K insertions) - Add type hints to function signatures throughout lightrag core and API - Update test suite with improved type annotations and docstrings - Add pyrightconfig.json for static type checking configuration - Create prompt_optimized.py and test_extraction_prompt_ab.py test files - Update ruff.toml and .gitignore for improved linting configuration - Standardize code style across examples, reproduce scripts, and utilities
48 lines
1.1 KiB
Python
48 lines
1.1 KiB
Python
import asyncio
|
|
import json
|
|
import os
|
|
import time
|
|
|
|
from lightrag import LightRAG
|
|
|
|
|
|
def insert_text(rag, file_path):
|
|
with open(file_path) 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() # Auto-initializes 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()
|