entityMap|0|type|LINK|mutability|MUTABLE|data|url|http://www.commonwl.org/|1|https://github.com/Barski-lab/cwl-airflow|2|https://github.com/rabix/composer|blocks|key|a85la|text|我不认为有一个开箱即用的解决方案。我会尝试你的任务的组合:CWL(通用工作流语言)，Airflow，Rabix+Composer|unstyled|depth|inlineStyleRanges|entityRanges|d6pnf|所以，CWL只是一个规范，你可以用类似于YAML的语法来描述你的工作流程。|offset|length|d808u|有一个软件包pip3+install+cwl-airflow，它可以将CWL解析为Airflow+DAG+https://github.com/Barski-lab/cwl-airflow。|style|CODE|1j9s0|Rabix+Composer+UI/图形CWL编辑器。|2u1r4^0|0|3|3|0|0|6|O|1H|15|1|0|0|E|2|0^^$0|$1|$2|3|4|5|6|$7|8]]|9|$2|3|4|5|6|$7|A]]|B|$2|3|4|5|6|$7|C]]]|D|@$E|F|G|H|2|I|J|X|K|@]|L|@]|6|$]]|$E|M|G|N|2|I|J|Y|K|@]|L|@$O|Z|P|10|E|11]]|6|$]]|$E|Q|G|R|2|I|J|12|K|@$O|13|P|14|S|T]]|L|@$O|15|P|16|E|17]]|6|$]]|$E|U|G|V|2|I|J|18|K|@]|L|@$O|19|P|1A|E|1B]]|6|$]]|$E|W|G|-4|2|I|J|1C|K|@]|L|@]|6|$]]]]

I don't think there is an out of the box solution. What I would try with your task is the combination: CWL(Common Workflow Language), Airflow, Rabix Composer
So, <a href="http://www.commonwl.org/" rel="nofollow noreferrer">CWL</a> is just a specification, you describe your workflow in YAML like syntax.
There is a package <code>pip3 install cwl-airflow</code> it can parse CWL into Airflow DAG <a href="https://github.com/Barski-lab/cwl-airflow" rel="nofollow noreferrer">https://github.com/Barski-lab/cwl-airflow</a>.
<a href="https://github.com/rabix/composer" rel="nofollow noreferrer">Rabix Composer</a> UI/graphical CWL editor.

entityMap|0|type|LINK|mutability|MUTABLE|data|url|https://elyra.readthedocs.io/en/latest/getting_started/overview.html|1|IMAGE|IMMUTABLE|imageUrl|https://i.stack.imgur.com/gANPg.png|imageAlt|blocks|key|fufbn|text|elyra似乎能够创建气流管道(没有尝试过)：|unstyled|depth|inlineStyleRanges|entityRanges|bqnnu|https://elyra.readthedocs.io/en/latest/getting|offset|length|8d54d|​|1r3j7|?|atomic|2vhcu|1lp76^0|0|0|1A|0|0|0|0|1|1|0|0^^$0|$1|$2|3|4|5|6|$7|8]]|9|$2|A|4|B|6|$C|D|E|-4]]]|F|@$G|H|I|J|2|K|L|Z|M|@]|N|@]|6|$]]|$G|O|I|P|2|K|L|10|M|@]|N|@$Q|11|R|12|G|13]]|6|$]]|$G|S|I|T|2|K|L|14|M|@]|N|@]|6|$]]|$G|U|I|V|2|W|L|15|M|@]|N|@$Q|16|R|17|G|18]]|6|$]]|$G|X|I|T|2|K|L|19|M|@]|N|@]|6|$]]|$G|Y|I|-4|2|K|L|1A|M|@]|N|@]|6|$]]]]

elyra seems to be able to create airflow pipelines (did not try it):
<a href="https://elyra.readthedocs.io/en/latest/getting_started/overview.html" rel="noreferrer">https://elyra.readthedocs.io/en/latest/getting_started/overview.html</a>
<a href="https://i.stack.imgur.com/gANPg.png" rel="noreferrer"><img src="https://i.stack.imgur.com/gANPg.png" alt="enter image description here" /></a>

entityMap|0|type|LINK|mutability|MUTABLE|data|url|https://github.com/andreax79/airflow-code-editor|1|IMAGE|IMMUTABLE|imageUrl|https://i.stack.imgur.com/PC86S.png|imageAlt|blocks|key|52hun|text|我相信现在有了一个：https://github.com/andreax79/airflow-code-editor|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|560mv|它看起来很有前途。|7oaao|​|afhsl|?|atomic|4a47q|l6vp^0|A|1C|0|0|0|0|0|1|1|0|0^^$0|$1|$2|3|4|5|6|$7|8]]|9|$2|A|4|B|6|$C|D|E|-4]]]|F|@$G|H|I|J|2|K|L|Z|M|@]|N|@$O|10|P|11|G|12]]|6|$]]|$G|Q|I|R|2|K|L|13|M|@]|N|@]|6|$]]|$G|S|I|T|2|K|L|14|M|@]|N|@]|6|$]]|$G|U|I|V|2|W|L|15|M|@]|N|@$O|16|P|17|G|18]]|6|$]]|$G|X|I|T|2|K|L|19|M|@]|N|@]|6|$]]|$G|Y|I|-4|2|K|L|1A|M|@]|N|@]|6|$]]]]

I believe there is one now:
<a href="https://github.com/andreax79/airflow-code-editor" rel="nofollow noreferrer">https://github.com/andreax79/airflow-code-editor</a>
And it looks promising.
<a href="https://i.stack.imgur.com/PC86S.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/PC86S.png" alt="enter image description here" /></a>

entityMap|0|type|LINK|mutability|MUTABLE|data|url|https://github.com/timkpaine/paperboy|blocks|key|88a5f|text|有一个开源项目看起来很有趣：|unstyled|depth|inlineStyleRanges|entityRanges|9um7m|offset|length|8bgpv^0|0|0|11|0|0^^$0|$1|$2|3|4|5|6|$7|8]]]|9|@$A|B|C|D|2|E|F|M|G|@]|H|@]|6|$]]|$A|I|C|8|2|E|F|N|G|@]|H|@$J|O|K|P|A|Q]]|6|$]]|$A|L|C|-4|2|E|F|R|G|@]|H|@]|6|$]]]]

There is an open source project that looks interesting:

<a href="https://github.com/timkpaine/paperboy" rel="nofollow noreferrer">https://github.com/timkpaine/paperboy</a>

entityMap|blocks|key|dfkvb|text|使用气流变量模型，它可以做到这一点。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1jrar|步骤1，使用用户输入定义您的业务模型；步骤2，在python中写入dag文件，用户输入的内容可以通过气流变量模型读取。(键/值模式)步骤3.通过气流xcom模型交换任务信息。|e8ue3|在生产模式下，用户在特定DAG的airflow+web+ui->admin->variable中输入其参数。(键值模式)|dqge7|然后就完成了。|66qdu|最近，我使用airflow和dag+with+user+viable针对不同的场景做了很多不同类型的离群点检测dag。工作顺畅。|8rkm0|希望以上经验能对你有所帮助。|1cjd4^0|0|0|0|0|0|0^^$0|$]|1|@$2|3|4|5|6|7|8|N|9|@]|A|@]|B|$]]|$2|C|4|D|6|7|8|O|9|@]|A|@]|B|$]]|$2|E|4|F|6|7|8|P|9|@]|A|@]|B|$]]|$2|G|4|H|6|7|8|Q|9|@]|A|@]|B|$]]|$2|I|4|J|6|7|8|R|9|@]|A|@]|B|$]]|$2|K|4|L|6|7|8|S|9|@]|A|@]|B|$]]|$2|M|4|-4|6|7|8|T|9|@]|A|@]|B|$]]]]

Use Airflow Variable model, it could do it.

Step 1, define you biz model with user inputs
Step 2, write in as dag file in python, the user input could be read by airflow variable model.(key/value mode)
step 3. exchange tasks info by airflow xcom model.

in production mode, user input their parameter in airflow web ui->admin->variable for certain DAG.(key value mode)

then it done.

Recently, I use airflow and dag with user viable to do a lot of different kinds of outlier detection dag for different scenarios. work smoothly. 

hope above experience could help you.

Airflow veterans please help,

I was looking for a cron replacement and came across apache airflow.

We have a setup where multiple users should be able to create their own DAGs and schedule their jobs. 

Our users are a mix of people who may not know how to write the DAG python file. Also, they may not have access to the server where airflow is running.

Is it possible to create an airflow DAG via UI. I could not find any reference to the same. All examples speak about creating a python file and uploading it to the $AIRFLOW_HOME/dag/ directory. Users will not have access to this directory.

Rundeck for example allows user to add workflows and task dependencies via UI. Is there a plugin/functionality similar to this in airflow.

PS: I really like the way airflow shows the dependency graphs and want to try it out. But If creating a DAG is so complicated, then it will be a major problem for lots of my end users.

Airflow: Creating a DAG in airflow via UI

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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