HTML - Documentation

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​See code examples on GitHub​
​See results in Neptune​
​Run example in Google Colab​
Video Walkthrough
What will you get with this integration?
This integration lets you log any standalone HTML string object or file with Neptune API and have it displayed interactively in the Neptune UI. 
Introduction
This guide will show you how to:
Initialize Neptune and create a run,
​Log HTML string objects to Neptune,​
​Log HTML files to Neptune.
Step 0: Before you start
Before you start, make sure that:
You have Python 3.6+ in your system,
You are already registered user, so that you can log metadata to your private projects.
You have your NEPTUNE_API_TOKEN set to the environment variable: check this docs page.
Install neptune-client
Depending on your operating system open a terminal or CMD and run this command. All required libraries are available via pip and conda:
pip
conda
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pip install neptune-client
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conda install -c conda-forge neptune-client
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For more help see installing neptune-client.
This integration is tested with neptune-client==0.9.19.
Step 1: Import and initialize Neptune
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import neptune.new as neptune
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run = neptune.init(api_token='<your_api_token>', project='<your_project_name>')
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You can use the api_token='ANONYMOUS' and project='common/html-support' to explore without having to create a Neptune account
To create your own private projects, you will need a Neptune account and your personal Neptune API token.
Executing this cell will give you a link looking like:
https://app.neptune.ai/common/html-support/e/HTMLSUP-13
with common/html-support replaced by your project, and HTMLSUP-13 replaced by your run.
Click on the link to open the run in Neptune. For now, it is empty but keep the tab with the run open to see what happens next.
Step 2: Log HTML objects to Neptune
Create a sample HTML string and file
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html_str = "<button type='button', style='background-color:#005879; width:400px; height:400px; font-size:30px'> <a style='color: #ccc', href='https://docs.neptune.ai'> Take me back to the docs!<a> </button>"
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with open('sample.html', 'w') as f:
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    f.write(html_str)
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Log HTML string object
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run['html_obj'].upload(neptune.types.File.from_content(html_str, extension='html'))
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Log HTML file
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run['html_file'].upload(neptune.types.File('sample.html'))
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Step 3: Stop logging
Once you are done logging, you should stop tracking the run using the stop() method. This is needed only while logging from a notebook environment. While logging through a script, Neptune automatically stops tracking once the script has completed execution.
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run.stop()
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Step 4: Explore the HTML object in Neptune
The object can be found in the All metadata section:
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​See code examples on GitHub​
​See results in Neptune​
​Run example in Google Colab​
Conclusion
You’ve learned how to:
Initialize Neptune and create a run,
Log HTML string objects to Neptune,
Log HTML files to Neptune.
What's next
Now that you know how to log HTML objects to Neptune, you can learn:
What can you log and display?
How-to guides

Dalex

Matplotlib

Last modified 1mo ago

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Contents

What will you get with this integration?

Introduction

Step 0: Before you start

Step 1: Import and initialize Neptune

Step 2: Log HTML objects to Neptune

Create a sample HTML string and file

Log HTML string object

Log HTML file

Step 3: Stop logging

Step 4: Explore the HTML object in Neptune

Conclusion

What's next