RAG数据库生成
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@@ -3,100 +3,85 @@ Command-line interface for the RAG index builder.
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"""
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import argparse
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import asyncio
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import logging
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import sys
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from builder import IndexBuilder
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from splitters import SplitterType
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from rag_indexer.builder import IndexBuilder
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from rag_indexer.splitters import SplitterType
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
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)
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# 基础配置
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COLLECTION_NAME = "rag_documents"
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DB_URI = "postgresql://postgres:huang1998@115.190.121.151:5432/langgraph_db?sslmode=disable"
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def main():
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parser = argparse.ArgumentParser(description="Offline RAG Index Builder")
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parser.add_argument("--file", type=str, help="Path to file to index")
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parser.add_argument("--dir", type=str, help="Path to directory to index")
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parser.add_argument("--recursive", action="store_true", default=True,
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help="Recursively process directories (default: True)")
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parser.add_argument("--collection", type=str, default="rag_documents",
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help="Qdrant collection name (default: rag_documents)")
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parser.add_argument("--qdrant-url", type=str,
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help="Qdrant server URL (default: http://127.0.0.1:6333)")
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parser.add_argument("--splitter", type=str,
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choices=["recursive", "semantic", "parent_child"],
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default="recursive",
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help="Text splitting strategy (default: recursive)")
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parser.add_argument("--chunk-size", type=int, default=500,
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help="Chunk size for recursive/parent splitter (default: 500)")
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parser.add_argument("--chunk-overlap", type=int, default=50,
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parser.add_argument("--docstore-path", type=str,
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default=None,
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help="Path to store parent documents for parent-child splitter (default: ./parent_docs or HERMES_HOME/parent_docs)")
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parser.add_argument("--docstore-type", type=str,
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choices=["local", "postgres"],
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default="local",
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help="Type of docstore: 'local' (default) or 'postgres' for PostgreSQL-backed storage")
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parser.add_argument("--docstore-conn", type=str,
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default=None,
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help="PostgreSQL connection string for postgres docstore")
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# 基础切分参数
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CHUNK_SIZE = 500
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CHUNK_OVERLAP = 50
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help="Chunk overlap (default: 50)")
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parser.add_argument("--parent-size", type=int, default=1000,
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help="Parent chunk size for parent-child splitter (default: 1000)")
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parser.add_argument("--child-size", type=int, default=200,
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help="Child chunk size for parent-child splitter (default: 200)")
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# 父子块切分参数
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PARENT_CHUNK_SIZE = 1000
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CHILD_CHUNK_SIZE = 200
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PARENT_CHUNK_OVERLAP = 100
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CHILD_CHUNK_OVERLAP = 20
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args = parser.parse_args()
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# 切分策略:basic(基础)、semantic(语义)、parent-child(父子块)
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STRATEGY = "parent-child"
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if not args.file and not args.dir:
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print("Error: Either --file or --dir must be specified", file=sys.stderr)
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parser.print_help()
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sys.exit(1)
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# 存储类型:postgres(PostgreSQL)、local(本地文件)
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STORAGE_TYPE = "postgres"
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splitter_map = {
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"recursive": SplitterType.RECURSIVE,
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"semantic": SplitterType.SEMANTIC,
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"parent_child": SplitterType.PARENT_CHILD,
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}
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splitter_type = splitter_map[args.splitter]
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async def main():
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# 使用固定策略
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splitter_type = SplitterType.PARENT_CHILD
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child_splitter_type = SplitterType.SEMANTIC
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splitter_kwargs = {}
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if splitter_type == SplitterType.RECURSIVE:
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splitter_kwargs["chunk_size"] = args.chunk_size
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splitter_kwargs["chunk_overlap"] = args.chunk_overlap
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splitter_kwargs["chunk_size"] = CHUNK_SIZE
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splitter_kwargs["chunk_overlap"] = CHUNK_OVERLAP
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elif splitter_type == SplitterType.PARENT_CHILD:
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splitter_kwargs["parent_chunk_size"] = args.parent_size
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splitter_kwargs["child_chunk_size"] = args.child_size
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splitter_kwargs["parent_chunk_overlap"] = args.chunk_overlap
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splitter_kwargs["child_chunk_overlap"] = args.chunk_overlap // 2
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splitter_kwargs["docstore_path"] = args.docstore_path
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splitter_kwargs["docstore_type"] = args.docstore_type
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splitter_kwargs["docstore_conn_string"] = args.docstore_conn
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splitter_kwargs["parent_chunk_size"] = PARENT_CHUNK_SIZE
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splitter_kwargs["child_chunk_size"] = CHILD_CHUNK_SIZE
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splitter_kwargs["parent_chunk_overlap"] = PARENT_CHUNK_OVERLAP
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splitter_kwargs["child_chunk_overlap"] = CHILD_CHUNK_OVERLAP
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splitter_kwargs["child_splitter_type"] = child_splitter_type
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if STORAGE_TYPE == "postgres":
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splitter_kwargs["docstore_conn_string"] = DB_URI
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elif STORAGE_TYPE == "local":
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splitter_kwargs["docstore_path"] = "./parent_docs"
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else:
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splitter_kwargs["docstore_conn_string"] = DB_URI
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builder = IndexBuilder(
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collection_name=args.collection,
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qdrant_url=args.qdrant_url,
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collection_name=COLLECTION_NAME,
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splitter_type=splitter_type,
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**splitter_kwargs
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)
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try:
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if args.file:
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chunk_count = builder.build_from_file(args.file)
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else:
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chunk_count = builder.build_from_directory(args.dir, args.recursive)
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is_file=False
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path="data/corpus/"
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print(f"Indexing completed. Total chunks indexed: {chunk_count}")
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try:
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if is_file:
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chunk_count = await builder.build_from_file(path)
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else:
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chunk_count = await builder.build_from_directory(path, recursive=True)
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print(f"索引构建完成。共索引 {chunk_count} 个块")
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info = builder.get_collection_info()
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print(f"Collection '{info['name']}' has {info['vectors_count']} vectors (dim={info['vector_size']})")
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print(f"集合 '{info['name']}' 包含 {info['vectors_count']} 个向量(维度:{info['vector_size']})")
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except Exception as e:
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logging.exception("Indexing failed")
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logging.exception(f"索引构建失败:{e}")
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sys.exit(1)
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if __name__ == "__main__":
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main()
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asyncio.run(main())
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