Files
DB-GPT/pilot/server/knowledge/space_db.py

112 lines
3.7 KiB
Python

from datetime import datetime
from sqlalchemy import Column, Integer, Text, String, DateTime
from pilot.base_modules.meta_data.base_dao import BaseDao
from pilot.base_modules.meta_data.meta_data import (
Base,
engine,
session,
META_DATA_DATABASE,
)
from pilot.configs.config import Config
from pilot.server.knowledge.request.request import KnowledgeSpaceRequest
CFG = Config()
class KnowledgeSpaceEntity(Base):
__tablename__ = "knowledge_space"
__table_args__ = {
"mysql_charset": "utf8mb4",
"mysql_collate": "utf8mb4_unicode_ci",
}
id = Column(Integer, primary_key=True)
name = Column(String(100))
vector_type = Column(String(100))
desc = Column(String(100))
owner = Column(String(100))
context = Column(Text)
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}' context='{self.context}', gmt_created='{self.gmt_created}', gmt_modified='{self.gmt_modified}')"
class KnowledgeSpaceDao(BaseDao):
def __init__(self):
super().__init__(
database=META_DATA_DATABASE,
orm_base=Base,
db_engine=engine,
session=session,
)
def create_knowledge_space(self, space: KnowledgeSpaceRequest):
session = self.get_session()
knowledge_space = KnowledgeSpaceEntity(
name=space.name,
vector_type=CFG.VECTOR_STORE_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.get_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()
session.close()
return result
def update_knowledge_space(self, space: KnowledgeSpaceEntity):
session = self.get_session()
session.merge(space)
session.commit()
session.close()
return True
def delete_knowledge_space(self, space: KnowledgeSpaceEntity):
session = self.get_session()
if space:
session.delete(space)
session.commit()
session.close()