DB-GPT/dbgpt/serve/agent/app/recommend_question/recommend_question.py
Fangyin Cheng 9502251c08
feat(core): AWEL flow 2.0 backend code (#1879)
Co-authored-by: yhjun1026 <460342015@qq.com>
2024-08-23 14:57:54 +08:00

161 lines
6.8 KiB
Python

import json
from datetime import datetime
from typing import Any, Dict, Optional, Union
from sqlalchemy import Column, DateTime, Index, Integer, String, Text
from dbgpt._private.pydantic import BaseModel, Field
from dbgpt.storage.metadata import BaseDao, Model
class RecommendQuestion(BaseModel):
id: Optional[int] = Field(None, description="id")
app_code: Optional[str] = Field(None, description="The unique identify of app")
question: Optional[str] = Field(None, description="The question you may ask")
user_code: Optional[str] = Field(None, description="The user code")
sys_code: Optional[str] = Field(None, description="The system code")
gmt_create: datetime = datetime.now()
gmt_modified: datetime = datetime.now()
params: Optional[dict] = Field(default={}, description="The params of app")
valid: Optional[Union[str, bool]] = Field(
default=None, description="is the question valid to display, default is true"
)
chat_mode: Optional[str] = Field(
default=None, description="is the question valid to display, default is true"
)
is_hot_question: Optional[str] = Field(default=None, description="is hot question.")
@classmethod
def from_dict(cls, d: Dict[str, Any]):
return cls(
id=d["id"],
app_code=d.get("app_code", None),
question=d.get("question", None),
user_code=str(d.get("user_code", None)),
sys_code=d.get("sys_code", None),
gmt_create=d.get("gmt_create", None),
updated_at=d.get("updated_at", None),
gmt_modified=d.get("gmt_modified", None),
params=d.get("params", None),
valid=d.get("valid", False),
chat_mode=d.get("chat_mode", None),
is_hot_question=d.get("is_hot_question", False),
)
@classmethod
def from_entity(cls, entity):
return RecommendQuestion.from_dict(
{
"id": entity.id,
"app_code": entity.app_code,
"question": entity.question,
"user_code": entity.user_code,
"sys_code": entity.sys_code,
"gmt_create": entity.gmt_create,
"gmt_modified": entity.gmt_modified,
"params": json.loads(entity.params),
"valid": entity.valid,
"chat_mode": entity.chat_mode,
"is_hot_question": entity.is_hot_question,
}
)
class RecommendQuestionEntity(Model):
__tablename__ = "recommend_question"
id = Column(Integer, primary_key=True, comment="autoincrement id")
app_code = Column(String(255), nullable=False, comment="Current AI assistant code")
user_code = Column(String(255), nullable=True, comment="user code")
sys_code = Column(String(255), nullable=True, comment="system app code")
gmt_create = Column(DateTime, default=datetime.utcnow, comment="create time")
gmt_modified = Column(
DateTime,
default=datetime.utcnow,
onupdate=datetime.utcnow,
comment="last update time",
)
question = Column(Text, default=None, comment="question")
valid = Column(String(31), default=True, comment="is valid")
params = Column(Text, nullable=True, comment="is valid")
chat_mode = Column(
String(31),
nullable=True,
comment="chat_mode, such as chat_knowledge, chat_normal",
)
is_hot_question = Column(
String(10),
default=False,
comment="hot question would be displayed on the main page.",
)
__table_args__ = (Index("idx_rec_q_app_code", "app_code"),)
class RecommendQuestionDao(BaseDao):
def list_questions(self, rq: RecommendQuestion):
questions = []
with self.session() as session:
qry = session.query(RecommendQuestionEntity)
if rq.valid is not None:
qry = qry.filter(RecommendQuestionEntity.valid == rq.valid)
if rq.app_code is not None:
qry = qry.filter(RecommendQuestionEntity.app_code == rq.app_code)
if rq.chat_mode is not None:
qry = qry.filter(RecommendQuestionEntity.chat_mode == rq.chat_mode)
if rq.is_hot_question is not None:
qry = qry.filter(
RecommendQuestionEntity.is_hot_question == rq.is_hot_question
)
entities = qry.all()
for entity in entities:
questions.append(RecommendQuestion.from_entity(entity))
return questions
def create(self, recommend_question: RecommendQuestion):
with self.session() as session:
entity = RecommendQuestionEntity(
app_code=recommend_question.app_code,
question=recommend_question.question,
user_code=recommend_question.user_code,
sys_code=recommend_question.sys_code,
gmt_create=recommend_question.gmt_create,
gmt_modified=recommend_question.gmt_modified,
params=json.dumps(recommend_question.params),
valid=recommend_question.valid,
chat_mode=recommend_question.chat_mode,
is_hot_question=recommend_question.is_hot_question,
)
session.add(entity)
return RecommendQuestion.from_entity(entity)
def update_question(self, recommend_question: RecommendQuestion):
with self.session() as session:
qry = session.query(RecommendQuestionEntity)
qry = qry.filter(RecommendQuestionEntity.id == recommend_question.id)
entity = qry.one()
if entity is not None:
if recommend_question.question is not None:
entity.question = recommend_question.question
if recommend_question.app_code is not None:
entity.app_code = recommend_question.app_code
if recommend_question.valid is not None:
entity.valid = recommend_question.valid
if recommend_question.user_code is not None:
entity.user_code = recommend_question.user_code
if recommend_question.is_hot_question is not None:
entity.is_hot_question = recommend_question.is_hot_question
session.merge(entity)
def delete_question(self, recommend_question: RecommendQuestion):
with self.session() as session:
qry = session.query(RecommendQuestionEntity)
qry = qry.filter(RecommendQuestionEntity.id == recommend_question.id)
entity = qry.one()
if entity is not None:
session.delete(entity)
def delete_by_app_code(self, app_code: str):
with self.session() as session:
qry = session.query(RecommendQuestionEntity)
qry = qry.filter(RecommendQuestionEntity.app_code == app_code)
qry.delete()