viadee/bpmn.ai-ui
viadee
UI for bpmn.ai
下载次数: 0状态：社区镜像维护者：viadee仓库类型：镜像最近更新：6 年前
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只需在 AI 对话中先发送下面这句话即可：
请先完整阅读并严格遵守以下文档中的全部规则与要求：
https://xuanyuan.cloud/agents.md
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bpmn.ai-ui
This project contanis a UI that helps in setting up your https://github.com/viadee/bpmn.ai preprocessing pipeline easily.
How to run bpmn.ai-ui
Using Docker
The easiest way to run bpmn.ai-ui is by using the provided https://hub.docker.com/r/viadee/bpmn.ai-ui.
In order to run bpmn.ai-ui you can use the following command:
docker run -it --rm \ --network bpmnai-ui-demo \ -v <local_folder_for_bpmn.ai_files>:/data \ -p 7000:7000 \ viadee/bpmn.ai-ui:latest
This run the latest version of bpmn.ai-ui and maps your local folder as /data inside the container (has to be /data) and makes the UI available on port http://localhost:7000 on the docker host. It is configured to use all cpu cores available to the docker container.
By using "--network bpmnai-ui-demo" the docker container is joined into the docker network bpmnai-ui-demo. This should match the docker network of your kafka server if it is also running in a docker container.
Using maven
You can run bpmn.ai-ui by building a standalone jar and run it on your machine.
Create a standalone jar
In the project root folder run the following command to build a standalone runnable jar:
mvn clean package -PstandaloneJar
After a succesful build the standalone jar can be found in the folder backend/target/bpmnai-ui-<version>-jar-with-dependencies.jar
Run the jar
In order to run the strandalone jar you can use the following command:
java -Dspark.master="local[*]" -jar <path_to_bpmnai-ui-\<version\>-jar-with-dependencies.jar
-Dspark.master="local[*]" will tell Apache Spark to use all available cpu cores. You can replace the asterisk with the number of cpu cores Spark should be using.
The UI will be available on port http://localhost:7000.
Add your own pipeline step
If you want to add you own pipeline steps while using the UI you simply change the bpmn.ai-core dependency of the bpmn.ai-ui to your maven project based on bpmn.ai-core containing your pipeline steps. Just make sure that your project is using bpmn.ai-core as a dependency with at least version 1.2.1.
For details on building your own pipeline step see the https://github.com/viadee/bpmn.ai/wiki/12_Tutorial-2-%E2%80%90-Create-a-custom-Preprocessing-step-for-bpmn.ai.
镜像拉取方式
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本，请访问 标签列表页面。
轩辕镜像加速拉取命令点我查看更多 bpmn.ai-ui 镜像标签
docker pull docker.xuanyuan.run/viadee/bpmn.ai-ui:<标签>
DockerHub 原生拉取命令
docker pull viadee/bpmn.ai-ui:<标签>
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oldzhang
运维工程师
Linux服务器
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"Docker访问体验非常流畅，大镜像也能快速完成下载。"