update

Dockerfile

+FROM python:3.11
+
+WORKDIR /usr/src/app
+ENV PYTHONPATH /usr/src/app
+COPY requirements.txt ./
+
+RUN pip config set global.index-url https://nexus.chaosoft.com.cn/repository/pypi-public/simple/ && pip install --no-cache-dir -r requirements.txt --trusted-host nexus.chaosoft.com.cn

config-svrobo_Mdiv_PRR3.yml

@@ -252,11 +252,11 @@ robo-executor: # 执行器相关
   sync-data: ${SYNC_DATA:on} # 是否开启同步资料数据
   backtest: # 回测执行器相关
     start-date: 2024-03-02 # 回测起始日期
-    end-date: 2024-06-11 # 回测截止日期
+    end-date: 2024-07-03 # 回测截止日期
     sealing-period: 10 #调仓封闭期
     start-step: ${BACKTEST_START_STEP:1} # 回测从哪一步开始执行 1:计算资产池；2:计算最优投组：3:计算再平衡信号以及持仓投组
     end-step: ${BACKTEST_END_STEP:3} # 回测从哪一步执行完成后结束执行 1:计算资产池；2:计算最优投组：3:计算再平衡信号以及持仓投组
-    clean-up: on
+    clean-up: off
   real: # 实盘执行器
     export: ${EXPORT_ENABLE:off} # 是否开启报告
     start-date: 2023-05-08 # 实盘开始时间

docker-compose.yml

+version: '3'
+services:
+  robo-ai-server:
+    image: recommend_py_311:latest
+    build:
+      context: ./robo-dividend
+      dockerfile: ./robo-dividend/Dockerfile
+    container_name: recommend-server
+    command: ["python", "/usr/src/app/web/robo_controller.py"]
+    environment:
+      - TZ=Asia/Shanghai
+      - MYSQL_HOST=robo-db
+      - MYSQL_USER=root
+      - MYSQL_PORT=3307
+      - MYSQL_PWD=#robo@tw_2024
+      - MYSQL_DBNAME=robo-db
+      - LOG_FILE=/var/python/logs/info.log
+      - LOG_HANDLERS=[console,file]
+    volumes:
+      - ./robo-dividend:/usr/src/app
+      - ./logs/:/var/python/logs
+    restart: always
+    depends_on:
+      - robo-db
+    ports:
+      - "8080:8080"
+  robo-db:
+    image: mysql:latest
+    container_name: robo-db
+    ports:
+      - "3307:3307"
+    environment:
+      - TZ=Asia/Shanghai
+      - MYSQL_ROOT_PASSWORD=#robo@tw_2024
+      - MYSQL_DATABASE=robo-db
+    volumes:
+      - ./conf/mysql/my.cnf:/etc/my.cnf:ro
+      - ./mysql-data:/var/lib/mysql:rw

web/robo_controller.py

@@ -87,6 +87,9 @@ async def recommend():
                 'roi': roi}
         note = {'last_rec': next_workday(sig['date']).strftime('%Y%m%d')}
         data['note'] = json.dumps(note)
+        # 计算股债比
+        stock_weight = int(sum(weight * 100 for key, weight in funds.items() if id_ticker_map[key]['category'] == 'STOCK'))
+        data["p_note"] = f"{stock_weight}:{100-stock_weight}"
         portfolios['data'] = data
         rec_list.append(portfolios)
         return rec_list