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[ISSUE #119] Fix latest version and language for version archives (#120)
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* Remove redundant zh doc files.

* Fix webhook zh doc not displayed (need translation)

* Optimize Webhook zh doc format and typos

* Optimize Webhook en doc

* Add updateWebHookConfig endpoint and optimize en titles

* Fix English documents are displayed in Chinese site

* Fix 1.9.0 is released however 1.8.0 is displayed by default

* Simplify eclipse instruction titles

* Add missing json configuration to fix English columns are displayed in Chinese site
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Pil0tXia authored Aug 28, 2023
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38 changes: 38 additions & 0 deletions docs/instruction/00-eclipse.md
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# Import EventMesh into eclipse

我们推荐使用 `Intellij IDEA` 进行开发,如果您希望使用 `Eclipse`,可以参考下面的步骤导入项目。

### 依赖

```
64位JDK 1.8+;
Gradle至少为7.0, 推荐 7.0.*
eclipse 已安装gradle插件或者eclipse自带gradle插件
```

### 下载源码

git init

git clone <https://github.com/apache/incubator-eventmesh.git>

### 项目编译eclipse环境

打开命令行终端,运行gradlew cleanEclipse eclipse

### 配置修改

修改工程名称和settings.gradle 配置文件参数rootProject.name 参数一致

### 修改eclipse.init配置文件,配置lombok以1.18.8版本为例

-javaagent:lombok-1.18.8.jar
-XBootclasspath/a:lombok-1.18.8.jar

### 202106版本eclipse,eclipse.init增加配置参数

--illegal-access=permit

### 导入gradle

打开eclipse,导入gradle项目到IDE里
2 changes: 1 addition & 1 deletion i18n/zh/docusaurus-plugin-content-docs/current.json
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{
"version.label": {
"message": "Next",
"description": "The label for version current"
"description": "The label for current version"
},
"sidebar.tutorialSidebar.category.Installation and Deployment": {
"message": "安装与部署",
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# EventMesh工作流
# EventMesh 工作流

## 业务场景

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# TCP协议文档
# TCP 协议文档

#### 1. 协议格式

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# eventMesh 导入Eclipse 快速入门说明
# 导入 Eclipse 快速入门说明

我们推荐使用 `Intellij IDEA` 进行开发,如果您希望使用 `Eclipse`,可以参考下面的步骤导入项目。

### 依赖

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# eventmesh-store 快速入门说明
# 部署 EventMesh 的事件存储

## 依赖

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## 下载

[RocketMQ官方网站](https://rocketmq.apache.org/download/) 下载Binary代码(推荐使用4.9.*版本),这里以4.9.4为例
[RocketMQ官方网站](https://rocketmq.apache.org/download/) 下载Binary代码(推荐使用4.9.*版本),这里以4.9.4为例

```
unzip rocketmq-all-4.9.4-bin-release.zip
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# eventmesh-store 快速入门说明
# 部署 EventMesh 的事件存储(使用 Docker)

## 依赖

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2 changes: 1 addition & 1 deletion i18n/zh/docusaurus-plugin-content-docs/current/roadmap.md
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sidebar_position: 1
---

# EventMesh产品路线图
# EventMesh 产品路线图

下表列出了EventMesh的新特性和bug修复情况,详情请参考 [release notes](https://eventmesh.apache.org/events/release-notes/v1.4.0).

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22 changes: 22 additions & 0 deletions i18n/zh/docusaurus-plugin-content-docs/version-v1.9.0.json
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{
"version.label": {
"message": "1.9.0",
"description": "The label for current version"
},
"sidebar.tutorialSidebar.category.Installation and Deployment": {
"message": "安装与部署",
"description": "The label for category Installation and Deployment in sidebar tutorialSidebar"
},
"sidebar.tutorialSidebar.category.EventMesh SDK for Java": {
"message": "EventMesh SDK for Java",
"description": "The label for category EventMesh SDK for Java in sidebar tutorialSidebar"
},
"sidebar.tutorialSidebar.category.Design Document": {
"message": "设计文档",
"description": "The label for category Design Document in sidebar tutorialSidebar"
},
"sidebar.tutorialSidebar.category.Upgrade Guide": {
"message": "升级指南",
"description": "The label for category Upgrade Guide in sidebar tutorialSidebar"
}
}
261 changes: 261 additions & 0 deletions versioned_docs/version-v1.9.0/design-document/01-workflow.md
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# EventMesh Workflow

## Business Problem

Imaging you are building a simple Order Management System for an E-Commerce Store. The system should be able to receive and provision new orders from a store website. The provisioning process should be able to process all orders, handle payments, as well as process shipments.

For high availability and high performance, you architect the system using event-driven architecture (EDA), and build microservice apps to handle store frontend, order management, payment processing, and shipment management. You deploy the whole system in a cloud environment. To handle high workloads, you leverage a messaging system to buffer the loads, and scale up multiple instances of microservices. The architecture could look similar to:

![Workflow Use Case](/images/design-document/workflow-use-case.jpg)

While each microservice is acting on its own event channels, EventMesh plays a crucial role of doing Event Orchestration.

We use [CNCF Serverless Workflow](https://serverlessworkflow.io/) to describe this Event Workflow Orchestration.

## CNCF Serverless Workflow

CNCF Serverless Workflow defines a vendor-neutral, open-source, and fully community-driven ecosystem for defining and running DSL-based workflows that target the Serverless technology domain.

Serverless Workflow defines a Domain Specific Language (DSL) to describe stateful and stateless workflow-based orchestrations of serverless functions and microservices.

More details could be found in its [official github site](https://github.com/serverlessworkflow/specification)

## EventMesh Workflow

We leverage Serverless Workflow DSL to describe the EventMesh workflow. Based on its spec, the workflow is consists of a series of workflow states used to describe the control-flow logic. At this time we only support event related workflow states. See the supported states in [Workflow DSL Design](#workflow-dsl-design-wip).

A `workflow state` can include applicable `actions`, or services/functions that should be invoked during workflow execution. These `actions` can reference reusable `function` definitions which define how these functions/services should be invoked. They can also reference events that trigger event-based service invocations, and events to wait for that denote completion of such event-based service invocation completion.

In EDA solution, we usually defined our event-driven microservice using AsyncAPI. Serverless workflow `function` definitions support defining invocation semantics using AsyncAPI. See [Using Funtions for AsyncAPI Service](https://github.com/serverlessworkflow/specification/blob/main/specification.md#using-functions-for-async-api-service-invocations) for more information.

### AsyncAPI

AsyncAPI is an open source initiative that seeks to improve the current state of Event-Driven Architectures (EDA).
Our long-term goal is to make working with EDAs as easy as it is to work with REST APIs.
That goes from documentation to code generation, discovery to event management.
Most of the processes you apply to your REST APIs nowadays would be applicable to your event-driven/asynchronous APIs too.

See AsyncAPI detail in the [official site](https://www.asyncapi.com/docs/guides)

### Workflow Example

In this example, we build the event-driven workflow of the Order management system above.

First, we need to define AsyncAPI definitions for our microservice apps.

- Online Store App

```yaml
asyncapi: 2.2.0
info:
title: Online Store application
version: '0.1.0'
channels:
store/order:
subscribe:
operationId: newStoreOrder
message:
$ref : '#/components/NewOrder'

```

- Order Service

```yaml
asyncapi: 2.2.0
info:
title: Order Service
version: '0.1.0'
channels:
order/inbound:
publish:
operationId: sendOrder
message:
$ref : '#/components/Order'
order/outbound:
subscribe:
operationId: processedOrder
message:
$ref : '#/components/Order'
```
- Payment Service
```yaml
asyncapi: 2.2.0
info:
title: Payment Service
version: '0.1.0'
channels:
payment/inbound:
publish:
operationId: sendPayment
message:
$ref : '#/components/OrderPayment'
payment/outbound:
subscribe:
operationId: paymentReceipt
message:
$ref : '#/components/OrderPayment'
```
- Shipment Service
```yaml
asyncapi: 2.2.0
info:
title: Shipment Service
version: '0.1.0'
channels:
shipment/inbound:
publish:
operationId: sendShipment
message:
$ref : '#/components/OrderShipment'
```
Once that is defined, we define the order workflow that describes our Order Management business logic.
```yaml
id: storeorderworkflow
version: '1.0'
specVersion: '0.8'
name: Store Order Management Workflow
states:
- name: Receive New Order Event
type: event
onEvents:
- eventRefs:
- NewOrderEvent
actions:
- eventRef:
triggerEventRef: OrderServiceSendEvent
resultEventRef: OrderServiceResultEvent
- eventRef:
triggerEventRef: PaymentServiceSendEvent
resultEventRef: PaymentServiceResultEvent
transition: Check Payment Status
- name: Check Payment Status
type: switch
dataConditions:
- name: Payment Successfull
condition: "${ .payment.status == 'success' }"
transition: Send Order Shipment
- name: Payment Denied
condition: "${ .payment.status == 'denied' }"
end: true
defaultCondition:
end: true
- name: Send Order Shipment
type: operation
actions:
- eventRef:
triggerEventRef: ShipmentServiceSendEvent
end: true
events:
- name: NewOrderEvent
source: file://onlineStoreApp.yaml#newStoreOrder
type: asyncapi
kind: consumed
- name: OrderServiceSendEvent
source: file://orderService.yaml#sendOrder
type: asyncapi
kind: produced
- name: OrderServiceResultEvent
source: file://orderService.yaml#processedOrder
type: asyncapi
kind: consumed
- name: PaymentServiceSendEvent
source: file://paymentService.yaml#sendPayment
type: asyncapi
kind: produced
- name: PaymentServiceResultEvent
source: file://paymentService.yaml#paymentReceipt
type: asyncapi
kind: consumed
- name: ShipmentServiceSendEvent
source: file://shipmentService.yaml#sendShipment
type: asyncapi
kind: produced
```
The corresponding workflow diagram is the following:
![Workflow Diagram](/images/design-document/workflow-diagram.png)
## EventMesh Workflow Engine
In the following architecture diagram, the EventMesh Catalog, EventMesh Workflow Engine and EventMesh Runtime are running in three different processors.
![Workflow Architecture](/images/design-document/workflow-architecture.jpg)
The steps running the workflow is the followings:
1. Deploy the Publisher and Subscriber Apps in the environment.
Describe the App APIs using AsyncAPI, generate the asyncAPI yaml.
Register the Publisher and Subscriber Apps in EventMesh Catalog using AsyncAPI.
2. Register the Serverless Workflow DSL in EventMesh Workflow Engine.
3. EventMesh Workflow Engine query the EventMesh Catalog for Publisher and Subscribers required in Workflow DSL `function`

4. Event-driven Apps are publish events to EventMesh Runtime to trigger the Workflow. EventMesh Workflow Engine also publish and subscribe events for orchestrating the events.

### EventMesh Catalog Design

EventMesh Catalog store the Publisher, Subscriber and Channel metadata. consists of the following modules:

- AsyncAPI Parser

Using the SDK provided by AsyncAPI community (see [tool list](https://www.asyncapi.com/docs/community/tooling)),
parse and validated the AsyncAPI yaml inputs, and generate the AsyncAPI definition.

- Publisher, Channel, Subscriber Modules

From the AsyncAPI definition store the Publisher, Subscriber and Channel information.

### EventMesh Workflow Engine Design

EventMesh Workflow Engine consists of the following modules:

- Workflow Parser

Using the SDK provided by Serverless Workflow community (see supported [SDKs](https://github.com/serverlessworkflow/specification#sdks)),
parse and validated the workflow DSL inputs, and generate workflow definition.

- Workflow Module

It manages a workflow instance life cycle, from create, start, stop to destroy.

- State Module

It manages workflow state life cycle. We support the event-related states, and the supported state list below is Work-in-Progress.

| Workflow State | Description |
| --- | --- |
| Operation | Execute the AsyncAPI functions defined in the Actions |
| Event | Check if the defined Event matched, if so execute the defined AsyncAPI functions |
| Switch | Check the event is matched with the event-conditions, and execute teh defined AsyncAPI functions |
| Parallel | Execute the defined AsyncAPI functions in parallel |
| ForEach | Iterate the inputCollection and execute the defined AsyncAPI functions |

- Action Module

It managed the functions inside the action.

- Function Module

It manages the AsyncAPI functions by creating the publisher and/or subscriber in EventMesh Runtime, and manage the publisher/subscriber life cycle.

| AsyncAPI Operation | EventMesh Runtime |
| --- | --- |
| Publish | Publisher |
| Subscribe | Subscriber |

- Event Module

It manages the CloudEvents data model, including event filter, correlation and transformation using the rules defined in the workflow DSL.

- Retry Module

It manages the retry logic of the event publishing into EventMesh Runtime.
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