Files
DB-GPT/pilot/server/knowledge/space_db.py
aries_ckt 161fe4b358 refactor:knowledge api refactor
1.knowledge python file refactor
2.source embedding return vector_ids
2023-07-03 23:50:34 +08:00

106 lines
3.8 KiB
Python

from datetime import datetime
from sqlalchemy import Column, Integer, String, DateTime, create_engine
from sqlalchemy.ext.declarative import declarative_base
from pilot.configs.config import Config
from pilot.server.knowledge.request.request import KnowledgeSpaceRequest
from sqlalchemy.orm import sessionmaker
CFG = Config()
Base = declarative_base()
class KnowledgeSpaceEntity(Base):
__tablename__ = "knowledge_space"
id = Column(Integer, primary_key=True)
name = Column(String(100))
vector_type = Column(String(100))
desc = Column(String(100))
owner = Column(String(100))
gmt_created = Column(DateTime)
gmt_modified = Column(DateTime)
def __repr__(self):
return f"KnowledgeSpaceEntity(id={self.id}, name='{self.name}', vector_type='{self.vector_type}', desc='{self.desc}', owner='{self.owner}', gmt_created='{self.gmt_created}', gmt_modified='{self.gmt_modified}')"
class KnowledgeSpaceDao:
def __init__(self):
database = "knowledge_management"
self.db_engine = create_engine(
f"mysql+pymysql://{CFG.LOCAL_DB_USER}:{CFG.LOCAL_DB_PASSWORD}@{CFG.LOCAL_DB_HOST}:{CFG.LOCAL_DB_PORT}/{database}",
echo=True,
)
self.Session = sessionmaker(bind=self.db_engine)
def create_knowledge_space(self, space: KnowledgeSpaceRequest):
session = self.Session()
knowledge_space = KnowledgeSpaceEntity(
name=space.name,
vector_type=space.vector_type,
desc=space.desc,
owner=space.owner,
gmt_created=datetime.now(),
gmt_modified=datetime.now(),
)
session.add(knowledge_space)
session.commit()
session.close()
def get_knowledge_space(self, query: KnowledgeSpaceEntity):
session = self.Session()
knowledge_spaces = session.query(KnowledgeSpaceEntity)
if query.id is not None:
knowledge_spaces = knowledge_spaces.filter(
KnowledgeSpaceEntity.id == query.id
)
if query.name is not None:
knowledge_spaces = knowledge_spaces.filter(
KnowledgeSpaceEntity.name == query.name
)
if query.vector_type is not None:
knowledge_spaces = knowledge_spaces.filter(
KnowledgeSpaceEntity.vector_type == query.vector_type
)
if query.desc is not None:
knowledge_spaces = knowledge_spaces.filter(
KnowledgeSpaceEntity.desc == query.desc
)
if query.owner is not None:
knowledge_spaces = knowledge_spaces.filter(
KnowledgeSpaceEntity.owner == query.owner
)
if query.gmt_created is not None:
knowledge_spaces = knowledge_spaces.filter(
KnowledgeSpaceEntity.gmt_created == query.gmt_created
)
if query.gmt_modified is not None:
knowledge_spaces = knowledge_spaces.filter(
KnowledgeSpaceEntity.gmt_modified == query.gmt_modified
)
knowledge_spaces = knowledge_spaces.order_by(
KnowledgeSpaceEntity.gmt_created.desc()
)
result = knowledge_spaces.all()
return result
def update_knowledge_space(self, space_id: int, space: KnowledgeSpaceEntity):
cursor = self.conn.cursor()
query = "UPDATE knowledge_space SET name = %s, vector_type = %s, desc = %s, owner = %s WHERE id = %s"
cursor.execute(
query, (space.name, space.vector_type, space.desc, space.owner, space_id)
)
self.conn.commit()
cursor.close()
def delete_knowledge_space(self, space_id: int):
cursor = self.conn.cursor()
query = "DELETE FROM knowledge_space WHERE id = %s"
cursor.execute(query, (space_id,))
self.conn.commit()
cursor.close()