from configs.model_config import EMBEDDING_MODEL, DEFAULT_VS_TYPE from server.knowledge_base.utils import get_file_path, list_kbs_from_folder, list_docs_from_folder, KnowledgeFile from server.knowledge_base.kb_service.base import KBServiceFactory from server.db.repository.knowledge_file_repository import add_doc_to_db from server.db.base import Base, engine import os from typing import Literal def create_tables(): Base.metadata.create_all(bind=engine) def reset_tables(): Base.metadata.drop_all(bind=engine) create_tables() def folder2db( kb_name: str, mode: Literal["recreate_vs", "fill_info_only", "update_in_db", "increament"], vs_type: Literal["faiss", "milvus", "pg", "chromadb"] = DEFAULT_VS_TYPE, embed_model: str = EMBEDDING_MODEL, ): ''' use existed files in local folder to populate database and/or vector store. set parameter `mode` to: recreate_vs: recreate all vector store and fill info to database using existed files in local folder fill_info_only: do not create vector store, fill info to db using existed files only update_in_db: update vector store and database info using local files that existed in database only increament: create vector store and database info for local files that not existed in database only ''' kb = KBServiceFactory.get_service(kb_name, vs_type, embed_model) kb.create_kb() if mode == "recreate_vs": kb.clear_vs() for doc in list_docs_from_folder(kb_name): try: kb_file = KnowledgeFile(doc, kb_name) kb.add_doc(kb_file) except Exception as e: print(e) elif mode == "fill_info_only": for doc in list_docs_from_folder(kb_name): try: kb_file = KnowledgeFile(doc, kb_name) add_doc_to_db(kb_file) except Exception as e: print(e) elif mode == "update_in_db": for doc in kb.list_docs(): try: kb_file = KnowledgeFile(doc, kb_name) kb.update_doc(kb_file) except Exception as e: print(e) elif mode == "increament": db_docs = kb.list_docs() folder_docs = list_docs_from_folder(kb_name) docs = list(set(folder_docs) - set(db_docs)) for doc in docs: try: kb_file = KnowledgeFile(doc, kb_name) kb.add_doc(kb_file) except Exception as e: print(e) else: raise ValueError(f"unspported migrate mode: {mode}") def recreate_all_vs( mode: Literal["recreate_vs", "fill_info_only", "update_in_db", "increament"], vs_type: Literal["faiss", "milvus", "pg", "chromadb"] = DEFAULT_VS_TYPE, embed_mode: str = EMBEDDING_MODEL, ): ''' used to recreate a vector store or change current vector store to another type or embed_model ''' for kb_name in list_kbs_from_folder(): folder2db(kb_name, mode, vs_type, embed_mode) def prune_db_docs(kb_name: str): ''' delete docs in database that not existed in local folder. it is used to delete database docs after user deleted some doc files in file browser ''' kb = KBServiceFactory.get_service_by_name(kb_name) if kb.exists(): docs_in_db = kb.list_docs() docs_in_folder = list_docs_from_folder(kb_name) docs = list(set(docs_in_db) - set(docs_in_folder)) for doc in docs: kb.delete_doc(KnowledgeFile(doc, kb_name)) return docs def prune_folder_docs(kb_name: str): ''' delete doc files in local folder that not existed in database. is is used to free local disk space by delete unused doc files. ''' kb = KBServiceFactory.get_service_by_name(kb_name) if kb.exists(): docs_in_db = kb.list_docs() docs_in_folder = list_docs_from_folder(kb_name) docs = list(set(docs_in_folder) - set(docs_in_db)) for doc in docs: os.remove(get_file_path(kb_name, doc)) return docs