mysql链接数量

zhaoqingang

2024-12-23 633a8ed975625851f23398f896594581c179f612

 app/task/fetch_agent.py

@@ -1,19 +1,27 @@
from pickle import PROTO
from typing import Dict, List, Tuple

from sqlalchemy import create_engine, Column, String, Integer
from sqlalchemy import create_engine, Column, String, Integer, Text
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import sessionmaker

from app.config.config import settings
from app.config.const import RAGFLOW, BISHENG, DIFY
from app.models import KnowledgeModel
from app.models.dialog_model import DialogModel
from app.models.user_model import UserAppModel
from app.models.agent_model import AgentModel
from app.models.base_model import SessionLocal, Base
from app.service.v2.app_register import AppRegisterDao

# 创建数据库引擎和会话工厂
engine_bisheng = create_engine(settings.sgb_db_url)
engine_ragflow = create_engine(settings.fwr_db_url)
engine_dify = create_engine(settings.dify_database_url)

SessionBisheng = sessionmaker(autocommit=False, autoflush=False, bind=engine_bisheng)
SessionRagflow = sessionmaker(autocommit=False, autoflush=False, bind=engine_ragflow)
SessionDify = sessionmaker(autocommit=False, autoflush=False, bind=engine_dify)


class Flow(Base):
@@ -21,6 +29,8 @@
    id = Column(String(255), primary_key=True)
    name = Column(String(255), nullable=False)
    status = Column(Integer, nullable=False)
    description = Column(String(255), nullable=False)
    user_id = Column(Integer, nullable=False)


class Dialog(Base):
@@ -28,7 +38,29 @@
    id = Column(String(255), primary_key=True)
    name = Column(String(255), nullable=False)
    status = Column(String(1), nullable=False)
    description = Column(String(255), nullable=False)
    tenant_id = Column(String(36), nullable=False)


class DfApps(Base):
    __tablename__ = 'apps'
    id = Column(String(36), primary_key=True)
    name = Column(String(255), nullable=False)
    status = Column(String(16), nullable=False)
    description = Column(Text, nullable=False)
    tenant_id = Column(String(36), nullable=False)
    mode = Column(String(36), nullable=False)


class RgKnowledge(Base):
    __tablename__ = 'knowledgebase'
    id = Column(String(36), primary_key=True)  # id
    name = Column(String(128))  # 名称
    permission = Column(String(32), default="me")
    tenant_id = Column(String(32))  # 创建人id
    description = Column(Text)  # 说明
    status = Column(String(1))  # 状态
    doc_num = Column(Integer)  # 文档

# 解析名字
def parse_names(names_str: str) -> List[str]:
@@ -108,16 +140,19 @@
    try:
        count = db.query(AgentModel).count()
        if count > 0:
            return
            result = db.query(AgentModel).delete()
            db.commit()  # 提交事务
        initial_agents = [
            ('80ee430a-e396-48c4-a12c-7c7cdf5eda51', 1, '报告生成', 'BISHENG', 'report'),
            # ('80ee430a-e396-48c4-a12c-7c7cdf5eda51', 1, '报告生成', 'DIFY', 'report'),
            ('basic_excel_merge', 2, '报表合并', 'BASIC', 'excelMerge'),
            ('bfd090d589d811efb3630242ac190006', 4, '文档智能', 'BISHENG', 'report'),
            ('7638f00638a24c21a68ec6c49b304a35', 4, '文档智能', 'DIFY', 'documentIa'),
            ('da3451da89d911efb9490242ac190006', 3, '知识问答', 'RAGFLOW', 'knowledgeQA'),
            ('e96eb7a589db11ef87d20242ac190006', 5, '智能问答', 'RAGFLOW', 'chat'),
            ('basic_excel_talk', 6, '智能数据', 'BASIC', 'excelTalk'),
            ('basic_question_talk', 7, '文档出卷', 'BASIC', 'questionTalk'),
            ('9d75142a-66eb-4e23-b7d4-03efe4584915', 8, '小数绘图', 'DIFY', 'imageTalk')
            ('basic_question_talk', 7, '出题组卷', 'BASIC', 'questionTalk'),
            ('9d75142a-66eb-4e23-b7d4-03efe4584915', 8, '小数绘图', 'DIFY', 'imageTalk'),
            ('basic_paper_talk', 9, '文档出卷', 'BASIC', 'paperTalk'),
            ('basic_report_clean', 10, '文档报告', 'DIFY', 'reportWorkflow')
        ]

        for agent in initial_agents:
@@ -135,12 +170,224 @@

def sync_agents():
    try:
        bisheng_data = get_data_from_bisheng(BISHENG_NAMES_TO_SYNC)
        # bisheng_data = get_data_from_bisheng(BISHENG_NAMES_TO_SYNC)
        ragflow_data = get_data_from_ragflow(RAGFLOW_NAMES_TO_SYNC)

        update_ids_in_local(bisheng_data)
        # update_ids_in_local(bisheng_data)
        update_ids_in_local(ragflow_data)

        print("Agents synchronized successfully")
    except Exception as e:
        print(f"Failed to sync agents: {str(e)}")


def update_ids_in_local(data: List[Tuple]):
    db = SessionLocal()
    try:
        for row in data:
            name = row[1]
            new_id = row[0]
            existing_agent = db.query(AgentModel).filter_by(name=name).first()
            if existing_agent:
                existing_agent.id = new_id
                db.add(existing_agent)
        db.commit()
    except IntegrityError:
        db.rollback()
        raise
    finally:
        db.close()

def get_rag_user_id(db, tenant_id, app_type):

    user = db.query(UserAppModel).filter(UserAppModel.app_type==app_type, UserAppModel.app_id==tenant_id).first()
    if user:
        return user.user_id
    return tenant_id


def get_data_from_bisheng_v2(names: List[str]) -> List[Dict]:
    db = SessionBisheng()
    try:
        if names:
            query = db.query(Flow.id, Flow.name, Flow.description, Flow.status, Flow.user_id) \
                .filter(Flow.name.in_(names), Flow.status=="1")
        else:
            query = db.query(Flow.id, Flow.name, Flow.description, Flow.status, Flow.user_id).filter(Flow.status=="1")

        results = query.all()
        # print(f"Executing query: {query}")
        # 格式化id为UUID
        formatted_results = [{"id":row[0], "name": row[1], "description": row[2], "status": row[3], "user_id": str(row[4]), "mode": "agent-dialog"} for row in results]
        return formatted_results
    finally:
        db.close()

def get_data_from_ragflow_v2(names: List[str]) -> List[Dict]:
    db = SessionRagflow()
    try:
        if names:
            query = db.query(Dialog.id, Dialog.name, Dialog.description, Dialog.status, Dialog.tenant_id) \
                .filter( Dialog.name.in_(names))
        else:
            query = db.query(Dialog.id, Dialog.name, Dialog.description, Dialog.status, Dialog.tenant_id)

        results = query.all()
        formatted_results = [
            {"id": row[0], "name": row[1], "description": row[2], "status": "1" if row[3]  == "1" else "2",
             "user_id": str(row[4]), "mode": "agent-dialog"} for row in results]
        return formatted_results
    finally:
        db.close()


def get_data_from_dify_v2(names: List[str]) -> List[Dict]:
    db = SessionDify()
    try:
        if names:
            query = db.query(DfApps.id, DfApps.name, DfApps.description, DfApps.status, DfApps.tenant_id, DfApps.mode) \
                .filter( DfApps.name.in_(names))
        else:
            query = db.query(DfApps.id, DfApps.name, DfApps.description, DfApps.status, DfApps.tenant_id, DfApps.mode)

        results = query.all()
        formatted_results = [
            {"id": str(row[0]), "name": row[1], "description": row[2], "status": "1",
             "user_id": str(row[4]), "mode": row[5]} for row in results]
        return formatted_results
    finally:
        db.close()



def update_ids_in_local_v2(data: List[Dict], dialog_type:str):
    db = SessionLocal()
    agent_id_list = []
    type_dict = {"1": RAGFLOW,"2": BISHENG,"4": DIFY}
    try:
        for row in data:
            agent_id_list.append(row["id"])
            existing_agent = db.query(DialogModel).filter_by(id=row["id"]).first()
            if existing_agent:
                existing_agent.name = row["name"]
                existing_agent.description = row["description"]
                existing_agent.status = row["status"]
                existing_agent.mode = row["mode"]
                # existing_agent.tenant_id = get_rag_user_id(db, row["user_id"], type_dict[dialog_type])
            else:
                existing = DialogModel(id=row["id"], status=row["status"], name=row["name"], description=row["description"], tenant_id=get_rag_user_id(db, row["user_id"], type_dict[dialog_type]), dialog_type=dialog_type, mode=row["mode"])
                db.add(existing)
        db.commit()
        for dialog in db.query(DialogModel).filter_by(dialog_type=dialog_type).all():
            if dialog.id not in agent_id_list:
                # print(dialog.id)
                db.query(DialogModel).filter_by(id=dialog.id).update({"status": "2"})
                db.commit()
    except IntegrityError:
        db.rollback()
        raise
    finally:
        db.close()



def get_data_from_ragflow_knowledge():
    db = SessionRagflow()
    try:

        results = db.query(RgKnowledge.id, RgKnowledge.name, RgKnowledge.description, RgKnowledge.status, RgKnowledge.tenant_id, RgKnowledge.doc_num, RgKnowledge.permission).all()
        formatted_results = [
            {"id": row[0], "name": row[1], "description": row[2], "status": str(row[3]),
             "user_id": str(row[4]), "doc_num": row[5], "permission": row[6]} for row in results]
        return formatted_results
    finally:
        db.close()

def sync_agents_v2():
    db = SessionLocal()

    try:
        app_register = AppRegisterDao(db).get_apps()
        for app in app_register:
            if app["id"] == RAGFLOW:
                ragflow_data = get_data_from_ragflow_v2([])
                if ragflow_data:
                    update_ids_in_local_v2(ragflow_data, "1")
            elif app["id"] == BISHENG:
                bisheng_data = get_data_from_bisheng_v2([])
                if bisheng_data:
                    update_ids_in_local_v2(bisheng_data, "2")
            elif app["id"] == DIFY:
                dify_data = get_data_from_dify_v2([])
                if dify_data:
                    update_ids_in_local_v2(dify_data, "4")
        print("v2 Agents synchronized successfully")
    except Exception as e:
        print(f"v2 Failed to sync agents: {str(e)}")

def update_ids_in_local_knowledge(data, klg_type):
    type_dict = {"1": RAGFLOW, "2": BISHENG, "4": DIFY}
    db = SessionLocal()
    agent_id_list = []
    try:
        for row in data:
            agent_id_list.append(row["id"])
            existing_agent = db.query(KnowledgeModel).filter_by(id=row["id"]).first()
            if existing_agent:
                existing_agent.name = row["name"]
                existing_agent.description = row["description"]
                # existing_agent.tenant_id = get_rag_user_id(db, row["user_id"], type_dict[klg_type])
                existing_agent.permission =  row["permission"]
                existing_agent.documents =  row["doc_num"]
                existing_agent.status =  row["status"]
            else:
                existing = KnowledgeModel(id=row["id"], name=row["name"], description=row["description"],
                                       tenant_id=get_rag_user_id(db, row["user_id"], type_dict[klg_type]),status=row["status"],
                                       knowledge_type=1, permission=row["permission"], documents=row["doc_num"])
                db.add(existing)
        db.commit()
        for dialog in db.query(KnowledgeModel).filter_by(knowledge_type=klg_type).all():
            if dialog.id not in agent_id_list:
                db.query(KnowledgeModel).filter_by(id=dialog.id).delete()
                db.commit()
    except IntegrityError:
        db.rollback()
        raise
    finally:
        db.close()

def get_one_from_ragflow_knowledge(klg_id):
    db = SessionRagflow()
    try:

        row = db.query(RgKnowledge.id, RgKnowledge.name, RgKnowledge.description, RgKnowledge.status, RgKnowledge.tenant_id, RgKnowledge.doc_num, RgKnowledge.permission).filter(RgKnowledge.id==klg_id).first()
        return {"id": row[0], "name": row[1], "description": row[2], "status": str(row[3]),
             "user_id": str(row[4]), "doc_num": row[5], "permission": row[6]} if row else {}
    finally:
        db.close()


def sync_knowledge():
    db = SessionLocal()

    try:
        app_register = AppRegisterDao(db).get_apps()
        for app in app_register:
            if app["id"] == RAGFLOW:
                ragflow_data = get_data_from_ragflow_knowledge()
                if ragflow_data:
                    update_ids_in_local_knowledge(ragflow_data, "1")
            # elif app["id"] == BISHENG:
            #     bisheng_data = get_data_from_bisheng_v2([])
            #     update_ids_in_local_v2(bisheng_data, "2")
            # elif app["id"] == DIFY:
            #     dify_data = get_data_from_dify_v2([])
            #     update_ids_in_local_v2(dify_data, "4")
        print("sync knowledge successfully")
    except Exception as e:
        print(f"Failed to sync knowledge: {str(e)}")


if __name__ == "__main__":
    a = get_data_from_dify_v2([])
    print(a)