aws / aws/sagemaker-python-sdk

TensorBoard get_url feature not creating proper redirect link to SageMaker Studio

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#5,252 0 comentarios 0 reacciones 0 asignados Ver en GitHub
component: pysdk-team type: bug
Lenguaje dominante
Python
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2.3k
Forks
1.3k
Merge medio
1 d 22 h
PR fusionados (30 d)
35

Descripción

# TensorBoard get_url feature not creating proper redirect link to SageMaker Studio

## Describe the bug
The `get_app_url` method in the TensorBoard application class (`sagemaker.interactive_apps.tensorboard.TensorBoardApp`) does not create proper redirect links when used with `create_presigned_domain_url=True`. Currently, the generated URL redirects to a SageMaker Studio blank page instead of opening the TensorBoard application directly. This makes it difficult to access TensorBoard visualizations from outside the Studio environment.

## To reproduce

The issue can be reproduced with the following code (extract from the [documentation](https://docs.aws.amazon.com/sagemaker/latest/dg/debugger-htb-access-tb-url.html#debugger-htb-access-tb-url-presigned)):

```python
from sagemaker.interactive_apps import tensorboard
region = "us-east-1"
app = tensorboard.TensorBoardApp(region)

print(
app.get_app_url(
create_presigned_domain_url=True, # Required to be set to True for creating a presigned URL
domain_id="your-domain-id", # Replace with your actual domain ID
user_profile_name="your-user-profile", # Replace with your actual user profile name
open_in_default_web_browser=False, # Set to False to print the URL to terminal
)
)
```

When executing this code, the generated URL opens a blank SageMaker Studio page instead of directly opening the TensorBoard application.

## Expected behavior

The generated URL should directly open the TensorBoard application in SageMaker Studio. The `LandingUri` parameter in `optional_create_presigned_url_kwargs` should correctly route the user to the TensorBoard application with the proper URI format.

The correct behavior would be for the URL to open directly to the TensorBoard interface, bypassing the need for manual navigation within Studio.

### How to make it work

After investigating this issue, I found that the correct format for the `LandingUri` parameter needs to be specified differently to properly redirect to TensorBoard. Here's the working solution:

```python
from sagemaker.interactive_apps import tensorboard
region = "us-east-1"
app = tensorboard.TensorBoardApp(region)

print(
app.get_app_url(
create_presigned_domain_url=True, # Required to be set to True for creating a presigned URL
domain_id="your-domain-id", # Replace with your actual domain ID
user_profile_name="your-user-profile", # Replace with your actual user profile name
open_in_default_web_browser=False, # Set to False to print the URL to terminal
optional_create_presigned_url_kwargs={
"LandingUri": "app:TensorBoard:default/"
}
)
)
```

## Screenshots or logs

When accessing the generated URL, you're taken to a blank SageMaker Studio page instead of the TensorBoard application.

Image

## System information
- **SageMaker Python SDK version**: 2.249.0 - latest
- **Framework name**: TensorFlow
- **Framework version**: N/A
- **Python version**: 3.13
- **CPU or GPU**: N/A
- **Custom Docker image**: N/A

## Additional context

The issue appears to be in how the TensorBoard application integration handles the `LandingUri` parameter from the underlying `create_presigned_domain_url` API.

A potential fix would be to update the SDK to properly handle the TensorBoard-specific URI format in the `get_app_url` method of the TensorBoardApp class.

The AWS documentation needs to be update or the SDK fixed

Guía de contribución

Abrir la guía de contribución

Línea de trabajo

Comienza con sagemaker.interactive_apps.tensorboard.TensorBoardApp.get_app_url y sigue cómo optional_create_presigned_url_kwargs proporciona la LandingUri cuando create_presigned_domain_url=True. Reproduce el ejemplo proporcionado y verifica que la URL generada abra directamente la aplicación TensorBoard en SageMaker Studio en lugar de mostrar una página en blanco.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
aws, python
Área
cloud, machine-learning
Tipo de issue
Error
Dificultad
2/5
Tiempo estimado
1-3 horas
Estado de actividad
Estancado
Claridad
Bien especificado
Aptitud para principiantes
45/100

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