Langchain-Chatchat/server/knowledge_base/knowledge_base.py

144 lines
4.1 KiB
Python

from server.knowledge_base.utils import (get_vs_path, get_kb_path, get_doc_path)
import os
import sqlite3
from configs.model_config import KB_ROOT_PATH
import datetime
import shutil
SUPPORTED_VS_TYPES = ["faiss", "milvus"]
DB_ROOT = os.path.join(KB_ROOT_PATH, "info.db")
# TODO: 知识库信息入库
def list_kbs_from_db():
conn = sqlite3.connect(DB_ROOT)
c = conn.cursor()
c.execute(f'''SELECT KB_NAME
FROM KNOWLEDGE_BASE
WHERE FILE_COUNT>0 ''')
kbs = [i[0] for i in c.fetchall() if i]
conn.commit()
conn.close()
return kbs
def add_kb_to_db(kb_name, vs_type):
conn = sqlite3.connect(DB_ROOT)
c = conn.cursor()
# Create table
c.execute('''CREATE TABLE if not exists KNOWLEDGE_BASE
(ID INTEGER PRIMARY KEY AUTOINCREMENT,
KB_NAME TEXT,
VS_TYPE TEXT,
FILE_COUNT INTEGER,
CREATE_TIME DATETIME) ''')
# Insert a row of data
c.execute(f"""INSERT INTO KNOWLEDGE_BASE
(KB_NAME, VS_TYPE, FILE_COUNT, CREATE_TIME)
VALUES
('{kb_name}','{vs_type}',0,'{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")}')""")
conn.commit()
conn.close()
def kb_exists(kb_name):
conn = sqlite3.connect(DB_ROOT)
c = conn.cursor()
c.execute(f'''SELECT COUNT(*)
FROM KNOWLEDGE_BASE
WHERE KB_NAME="{kb_name}" ''')
status = True if c.fetchone()[0] else False
conn.commit()
conn.close()
return status
def load_kb_from_db(kb_name):
conn = sqlite3.connect(DB_ROOT)
c = conn.cursor()
c.execute(f'''SELECT KB_NAME, VS_TYPE
FROM KNOWLEDGE_BASE
WHERE KB_NAME="{kb_name}" ''')
resp = c.fetchone()
if resp:
kb_name, vs_type = resp
else:
kb_name, vs_type = None, None
conn.commit()
conn.close()
return kb_name, vs_type
def delete_kb_from_db(kb_name):
conn = sqlite3.connect(DB_ROOT)
c = conn.cursor()
c.execute(f'''DELETE
FROM KNOWLEDGE_BASE
WHERE KB_NAME="{kb_name}" ''')
conn.commit()
conn.close()
return True
class KnowledgeBase:
def __init__(self,
knowledge_base_name: str,
vector_store_type: str,
):
self.kb_name = knowledge_base_name
if vector_store_type not in SUPPORTED_VS_TYPES:
raise ValueError(f"暂未支持向量库类型 {vector_store_type}")
self.vs_type = vector_store_type
self.kb_path = get_kb_path(self.kb_name)
self.doc_path = get_doc_path(self.kb_name)
if self.vs_type in ["faiss"]:
self.vs_path = get_vs_path(self.kb_name)
elif self.vs_type in ["milvus"]:
pass
def create(self):
if not os.path.exists(self.doc_path):
os.makedirs(self.doc_path)
if self.vs_type in ["faiss"]:
if not os.path.exists(self.vs_path):
os.makedirs(self.vs_path)
add_kb_to_db(self.kb_name, self.vs_type)
elif self.vs_type in ["milvus"]:
# TODO: 创建milvus库
pass
return True
@classmethod
def exists(cls,
knowledge_base_name: str):
return kb_exists(knowledge_base_name)
@classmethod
def load(cls,
knowledge_base_name: str):
kb_name, vs_type = load_kb_from_db(knowledge_base_name)
return cls(kb_name, vs_type)
@classmethod
def delete(cls,
knowledge_base_name: str):
kb = cls.load(knowledge_base_name)
if kb.vs_type in ["faiss"]:
shutil.rmtree(kb.kb_path)
elif kb.vs_type in ["milvus"]:
# TODO: 删除milvus库
pass
status = delete_kb_from_db(knowledge_base_name)
return status
@classmethod
def list_kbs(cls):
return list_kbs_from_db()
if __name__ == "__main__":
# kb = KnowledgeBase("123", "faiss")
# kb.create()
kb = KnowledgeBase.load(knowledge_base_name="123")
print()