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2026-07-13 13:22:34 +08:00

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name: UI Bug Report
description: Create a report to help us reproduce and correct the UI bug
labels: ["bug", "area/uiux"]
title: "[BUG]"
body:
- type: markdown
attributes:
value: |
> [!WARNING]
> Before submitting a PR, please make sure that:
> - A maintainer has triaged this issue and applied the `ready` label
> - This issue has no assignee
> - No duplicate PR exists
>
> PRs not meeting these requirements may be automatically closed.
- type: markdown
attributes:
value: |
Thank you for submitting an issue. Please refer to our [issue policy](https://www.github.com/mlflow/mlflow/blob/master/ISSUE_POLICY.md) for additional information about bug reports. For help with debugging your code, please refer to [Stack Overflow](https://stackoverflow.com/questions/tagged/mlflow).
#### Please fill in this UI bug report template to ensure a timely and thorough response.
validations:
required: true
- type: input
validations:
required: true
attributes:
label: MLflow version
description: MLflow version (run `mlflow --version`) or commit SHA if you have MLflow installed from source (run `pip freeze | grep mlflow`).
- type: textarea
validations:
required: true
attributes:
label: System information
description: |
Describe the system where you encountered the bug.
value: |
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**:
- **Python version**:
- type: textarea
validations:
required: true
attributes:
label: Describe the problem
description: |
Describe the problem clearly here. Include descriptions of the expected behavior and the actual behavior.
- type: textarea
validations:
required: true
attributes:
label: Steps to reproduce the bug
description: |
**Record steps to reproduce the bug as a video or GIF** (to eliminate ambiguity) and attach it here.
- type: textarea
attributes:
label: Code to generate data required to reproduce the bug
description: |
Please provide code to generate data required to reproduce the bug.
placeholder: |
```python
import mlflow
with mlflow.start_run():
mlflow.log_param("p", 0)
mlflow.log_metric("m", 1)
```
- type: textarea
validations:
required: true
attributes:
label: Is the console panel in DevTools showing errors relevant to the bug? Type 'N/A' if not applicable.
description: |
If the console panel in your browser's DevTools is showing errors (displayed in red) relevant to the bug as shown in the screenshot below, please provide them as text (preferred) or a screenshot.
#### Instructions on how to use DevTools:
- Chrome: [Chrome DevTools](https://developer.chrome.com/docs/devtools/)
- Firefox: [Firefox DevTools User Docs](https://firefox-source-docs.mozilla.org/devtools-user/index.html)
- Edge: [Overview of DevTools](https://docs.microsoft.com/en-us/microsoft-edge/devtools-guide-chromium/overview)
![console-panel](https://github.com/mlflow/mlflow/blob/master/.github/ISSUE_TEMPLATE/images/console-panel.png?raw=true)
<p align="center">Console panel on Chrome</P>
placeholder: |
```
TypeError: Cannot read properties of undefined (reading 'x')
at n.value (HomeView.js:33:22)
at za (react-dom.production.min.js:187:188)
at Za (react-dom.production.min.js:186:173)
at qs (react-dom.production.min.js:269:427)
at Tl (react-dom.production.min.js:250:347)
```
- type: textarea
validations:
required: true
attributes:
label: Does the network panel in DevTools contain failed requests relevant to the bug? Type 'N/A' if not applicable.
description: |
If the network panel in your browser's DevTools contain failed requests (displayed in red) relevant to the bug as shown in the screenshot below, please provide them as text (preferred) or a screenshot.
![network-panel](https://github.com/mlflow/mlflow/blob/master/.github/ISSUE_TEMPLATE/images/network-panel.png?raw=true)
<p align="center">Network panel on Chrome</P>
placeholder: |
```
# Request URL
http://localhost:5000/ajax-api/2.0/preview/mlflow/xxx/yyy
# Status Code
400
# Payload
{"a": 0}
# Response
{"b": 1}
```