add aihub

docs/example/service.md

@@ -0,0 +1,77 @@
+
+# 内部服务
+
+##  普通服务
+
+### 开发注册
+
+1、开发你的服务化镜像，push到docker仓库内
+
+2、注册你的服务
+
+![image](https://user-images.githubusercontent.com/20157705/169932303-0ec981cc-09ca-423c-96f9-da164ed309da.png)
+
+## mysql web服务
+
+镜像：ccr.ccs.tencentyun.com/cube-studio/phpmyadmin
+
+环境变量：
+```
+PMA_HOST=xx.xx.xx.xx
+PMA_PORT=xx
+PMA_USER=xx
+PMA_PASSWORD=xx
+```
+端口：80
+
+## mongo web服务
+镜像：mongo-express:0.54.0
+
+环境变量：
+```
+ME_CONFIG_MONGODB_SERVER=xx.xx.xx.xx
+ME_CONFIG_MONGODB_PORT=xx
+ME_CONFIG_MONGODB_ENABLE_ADMIN=true
+ME_CONFIG_MONGODB_ADMINUSERNAME=xx
+ME_CONFIG_MONGODB_ADMINPASSWORD=xx
+ME_CONFIG_MONGODB_AUTH_DATABASE=xx
+VCAP_APP_HOST=0.0.0.0
+VCAP_APP_PORT=8081
+ME_CONFIG_OPTIONS_EDITORTHEME=ambiance
+```
+端口：8081
+
+## redis web
+镜像：ccr.ccs.tencentyun.com/cube-studio/patrikx3:latest
+
+环境变量
+```
+REDIS_NAME=xx
+REDIS_HOST=xx
+REDIS_PORT=xx
+REDIS_PASSWORD=xx
+```
+端口：7843
+
+## 图数据库neo4j
+
+镜像：ccr.ccs.tencentyun.com/cube-studio/neo4j:4.4
+
+环境变量
+```
+NEO4J_AUTH=neo4j/admin
+```
+端口：7474,7687
+
+## jaeger链路追踪
+
+镜像：jaegertracing/all-in-one:1.29
+
+端口：5775,16686
+
+
+## 服务暴露：
+
+ - 1、域名暴露需要平台配置泛域名，SERVICE_DOMAIN
+ - 2、ip暴露需要平台配置SERVICE_EXTERNAL_IP=[xx.xx.xx.xx]，或者项目中配置SERVICE_EXTERNAL_IP=xx.xx.xx.xx  ip需为集群中节点的ip或者clb的ip
+

myapp/cli.py

@@ -199,6 +199,7 @@ def create_template(repository_id,project_name,image_name,image_describe,job_tem
 
 
     # 创建demo pipeline
+    # @pysnooper.snoop()
     def create_pipeline(tasks,pipeline):
         # 如果项目组或者task的模板不存在就丢失
         org_project = db.session.query(Project).filter_by(name=pipeline['project']).filter_by(type='org').first()
@@ -400,7 +401,8 @@ def create_train_model(name,describe,path,project_name,version,framework,api_typ
 
 
     # 添加demo 服务
-    def create_service(project_name,service_name,service_describe,image_name,command,env,resource_memory='2G',resource_cpu='2',resource_gpu='0',ports='80',volume_mount='kubeflow-user-workspace(pvc):/mnt'):
+    # @pysnooper.snoop()
+    def create_service(project_name,service_name,service_describe,image_name,command,env,resource_memory='2G',resource_cpu='2',resource_gpu='0',ports='80',volume_mount='kubeflow-user-workspace(pvc):/mnt',expand={}):
         service = db.session.query(Service).filter_by(name=service_name).first()
         project = db.session.query(Project).filter_by(name=project_name).filter_by(type='org').first()
         if service is None and project:
@@ -419,6 +421,7 @@ def create_service(project_name,service_name,service_describe,image_name,command
                 service.env='\n'.join([x.strip() for x in env.split('\n') if x.split()])
                 service.ports = ports
                 service.volume_mount=volume_mount
+                service.expand = json.dumps(expand, indent=4, ensure_ascii=False)
                 db.session.add(service)
                 db.session.commit()
                 print('add service %s'%service_name)
@@ -438,7 +441,8 @@ def create_service(project_name,service_name,service_describe,image_name,command
 
 
     # 添加 demo 推理 服务
-    def create_inference(project_name,service_name,service_describe,image_name,command,env,model_name,workdir='',model_version='',model_path='',service_type='serving',resource_memory='2G',resource_cpu='2',resource_gpu='0',ports='80',volume_mount='kubeflow-user-workspace(pvc):/mnt',metrics='',health='',inference_config=''):
+    # @pysnooper.snoop()
+    def create_inference(project_name,service_name,service_describe,image_name,command,env,model_name,workdir='',model_version='',model_path='',service_type='serving',resource_memory='2G',resource_cpu='2',resource_gpu='0',ports='80',volume_mount='kubeflow-user-workspace(pvc):/mnt',metrics='',health='',inference_config='',expand={}):
         service = db.session.query(InferenceService).filter_by(name=service_name).first()
         project = db.session.query(Project).filter_by(name=project_name).filter_by(type='org').first()
         if service is None and project:
@@ -465,7 +469,7 @@ def create_inference(project_name,service_name,service_describe,image_name,comma
                 service.volume_mount=volume_mount
                 service.metrics=metrics
                 service.health=health
-                service.expand = "{}"
+                service.expand = json.dumps(expand,indent=4,ensure_ascii=False)
 
                 from myapp.views.view_inferenceserving import InferenceService_ModelView_base
                 inference_class = InferenceService_ModelView_base()