Important points
-
The module contains a basic in-memory container that can be embedded inside a service or application, or can be run by itself. It also has container type can run as a system level process and can be configured via command line arguments.
-
These containers can read configuration from JSON or YAML files, and use it as a recipe for instantiating and configuring components.
-
Component factories are used to create components based on their locators (descriptor) defined in the container configuration. The factories shall be registered in containers or dynamically in the container configuration file.
Packages
The module contains the following packages:
- Containers - Basic in-memory and process containers
- Build - Default container factory
- Config - Container configuration components
- Refer - Inter-container reference management (implementation of the Referenceable pattern inside an IoC container)
Use
Install the dotnet package as
dotnet add package PipServices3.Container
Create a factory to create components based on their locators (descriptors).
using PipServices3.Commons.Refer;
using PipServices3.Components.Build;
class MyFactory : Factory
{
public static Descriptor myComponentDescriptor = new Descritor("myservice", "mycomponent", "default", "*", "1.0");
public MyFactory() : base()
{
this.RegisterAsType(MyFactory.myComponentDescriptor, myComponent);
}
}
Then create a process container and register the factory there. You can also register factories defined in other modules if you plan to include external components into your container.
using PipServices4.Container;
using PipServices4.Rpc.Build;
class MyProcess : ProcessContainer
{
public MyProcess() : base("myservice", "My service running as a process")
{
this._factories.Add(new DefaultRpcFactory());
this._factories.Add(new MyFactory());
}
}
Define YAML configuration file with components and their descriptors. The values for the templating engine are defined via process command line arguments or via environment variables. Support for environment variables works well in docker or other containers like AWS Lambda functions.
---
# Context information
- descriptor: "pip-services:context-info:default:default:1.0"
name: myservice
description: My service running in a process container
# Console logger
- descriptor: "pip-services:logger:console:default:1.0"
level: {{LOG_LEVEL}}{{^LOG_LEVEL}}info{{/LOG_LEVEL}}
# Performance counters that posts values to log
- descriptor: "pip-services:counters:log:default:1.0"
# My component
- descriptor: "myservice:mycomponent:default:default:1.0"
param1: XYZ
param2: 987
{{#if HTTP_ENABLED}}
# HTTP endpoint version 1.0
- descriptor: "pip-services:endpoint:http:default:1.0"
connection:
protocol: "http"
host: "0.0.0.0"
port: {{HTTP_PORT}}{{^HTTP_PORT}}8080{{/HTTP_PORT}}
# Default Status
- descriptor: "pip-services:status-service:http:default:1.0"
# Default Heartbeat
- descriptor: "pip-services:heartbeat-service:http:default:1.0"
{{/if}}
To instantiate and run the container we need a simple process launcher.
try
{
MyProcess proc = new MyProcess();
ConfigParams param = ConfigParams.FromValue(Environment.GetEnvironmentVariables());
proc.ReadConfigFromFile("123", "./config/config.yml", param);
proc.RunAsync(args);
}
catch (Exception ex)
{
Console.WriteLine(ex);
}