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Help Center/ CodeArts Check/ Best Practices/ Huawei E2E DevOps Practice: Checking Code

Huawei E2E DevOps Practice: Checking Code

Updated on 2024-10-10 GMT+08:00

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This section takes a DevOps full-process sample project as an example to describe how to configure a check task in a project.

The sample project has four preset code check tasks.

**Table 1** Preset tasks
Preset Task	Description
phoenix-codecheck-worker	Checks the Worker function code.
phoenix-codecheck-result	Checks the Result function code.
phoenix-codecheck-vote	Checks the Vote function code.
phoenix-sample-javas	Checks the JavaScript code of the entire code repository.

This section uses the phoenix-codecheck-worker task as an example.

For comprehensive checks, developers can add some simple configurations (for example, a Python check rule set) to the preset code check task.

Edit a task.
1. Go to the Phoenix Mall project and choose Code > Check. The preset four tasks are displayed.
2. Find the phoenix-codecheck-worker task in the list.
3. Click the task name to go to the details page and click the Settings tab.
4. In the navigation pane, choose Rule Sets. The default language of a rule set is Java.
5. Add the Python language check rule set.
  1. Click next to Languages Included to refresh the language list.
    NOTE:
    
    If Python is displayed on the page, skip this step.
  2. Click to enable the Python language.
  3. In the dialog box that is displayed, click OK.
Execute the task.
1. Click Start Check to start the task.
2. If is displayed on the page, the task is successfully executed.
  If the task fails, check and fix errors based on the message displayed on the page.

CodeArts Check collects check results and provides fix suggestions for detected issues. Optimize the project code based on the suggestions.

On the task details page, click the Overview tab to view the result statistics.
Click the Issues tab to view the issue list.

Click Help in the question box to view fix suggestions. You can find the corresponding file and code location in the code repository as required and optimize the code based on the fix suggestions.