137 lines
5.3 KiB
Python
137 lines
5.3 KiB
Python
import os
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from typing import Literal, Callable, Any
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from configs.model_config import EMBEDDING_MODEL, DEFAULT_VS_TYPE
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from dev_opsgpt.orm.utils import DocumentFile
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from dev_opsgpt.orm.commands import add_doc_to_db
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from dev_opsgpt.utils.path_utils import *
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from .service_factory import KBServiceFactory
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def folder2db(
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kb_name: str,
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mode: Literal["recreate_vs", "fill_info_only", "update_in_db", "increament"],
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vs_type: Literal["faiss", "milvus", "pg", "chromadb"] = DEFAULT_VS_TYPE,
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embed_model: str = EMBEDDING_MODEL,
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callback_before: Callable = None,
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callback_after: Callable = None,
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):
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'''
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use existed files in local folder to populate database and/or vector store.
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set parameter `mode` to:
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recreate_vs: recreate all vector store and fill info to database using existed files in local folder
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fill_info_only: do not create vector store, fill info to db using existed files only
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update_in_db: update vector store and database info using local files that existed in database only
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increament: create vector store and database info for local files that not existed in database only
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'''
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kb = KBServiceFactory.get_service(kb_name, vs_type, embed_model)
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kb.create_kb()
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if mode == "recreate_vs":
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kb.clear_vs()
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docs = list_docs_from_folder(kb_name)
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for i, doc in enumerate(docs):
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try:
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kb_file = DocumentFile(doc, kb_name)
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if callable(callback_before):
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callback_before(kb_file, i, docs)
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if i == len(docs) - 1:
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not_refresh_vs_cache = False
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else:
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not_refresh_vs_cache = True
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kb.add_doc(kb_file, not_refresh_vs_cache=not_refresh_vs_cache)
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if callable(callback_after):
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callback_after(kb_file, i, docs)
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except Exception as e:
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print(e)
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elif mode == "fill_info_only":
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docs = list_docs_from_folder(kb_name)
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for i, doc in enumerate(docs):
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try:
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kb_file = DocumentFile(doc, kb_name)
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if callable(callback_before):
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callback_before(kb_file, i, docs)
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add_doc_to_db(kb_file)
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if callable(callback_after):
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callback_after(kb_file, i, docs)
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except Exception as e:
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print(e)
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elif mode == "update_in_db":
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docs = kb.list_docs()
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for i, doc in enumerate(docs):
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try:
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kb_file = DocumentFile(doc, kb_name)
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if callable(callback_before):
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callback_before(kb_file, i, docs)
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if i == len(docs) - 1:
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not_refresh_vs_cache = False
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else:
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not_refresh_vs_cache = True
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kb.update_doc(kb_file, not_refresh_vs_cache=not_refresh_vs_cache)
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if callable(callback_after):
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callback_after(kb_file, i, docs)
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except Exception as e:
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print(e)
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elif mode == "increament":
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db_docs = kb.list_docs()
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folder_docs = list_docs_from_folder(kb_name)
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docs = list(set(folder_docs) - set(db_docs))
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for i, doc in enumerate(docs):
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try:
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kb_file = DocumentFile(doc, kb_name)
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if callable(callback_before):
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callback_before(kb_file, i, docs)
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if i == len(docs) - 1:
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not_refresh_vs_cache = False
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else:
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not_refresh_vs_cache = True
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kb.add_doc(kb_file, not_refresh_vs_cache=not_refresh_vs_cache)
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if callable(callback_after):
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callback_after(kb_file, i, docs)
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except Exception as e:
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print(e)
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else:
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raise ValueError(f"unspported migrate mode: {mode}")
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def recreate_all_vs(
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vs_type: Literal["faiss", "milvus", "pg", "chromadb"] = DEFAULT_VS_TYPE,
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embed_mode: str = EMBEDDING_MODEL,
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**kwargs: Any,
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):
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'''
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used to recreate a vector store or change current vector store to another type or embed_model
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'''
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for kb_name in list_kbs_from_folder():
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folder2db(kb_name, "recreate_vs", vs_type, embed_mode, **kwargs)
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def prune_db_docs(kb_name: str):
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'''
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delete docs in database that not existed in local folder.
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it is used to delete database docs after user deleted some doc files in file browser
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'''
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kb = KBServiceFactory.get_service_by_name(kb_name)
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if kb.exists():
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docs_in_db = kb.list_docs()
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docs_in_folder = list_docs_from_folder(kb_name)
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docs = list(set(docs_in_db) - set(docs_in_folder))
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for doc in docs:
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kb.delete_doc(DocumentFile(doc, kb_name))
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return docs
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def prune_folder_docs(kb_name: str):
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'''
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delete doc files in local folder that not existed in database.
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is is used to free local disk space by delete unused doc files.
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'''
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kb = KBServiceFactory.get_service_by_name(kb_name)
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if kb.exists():
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docs_in_db = kb.list_docs()
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docs_in_folder = list_docs_from_folder(kb_name)
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docs = list(set(docs_in_folder) - set(docs_in_db))
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for doc in docs:
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os.remove(get_file_path(kb_name, doc))
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return docs
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