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Creating an automatic, or perhaps a manual workflow (which can be automated to run at certain times) to update all the screenshots inside the graph. The implementation of this may be quite tricky,
Basic example
here are some of the screenshot cases you will come up against,
do you want to update all the screenshots, if not you need to find out which to update.
do you want to update all the screenshots that have defaulted to 'NA', (probably)
once you update the screenshot you must also update the screenshot property to have the correct name to find the screenshot in the s3 bucket. The "upload_image_from_url" function in s3_function will return the file_name that has been uploaded to the s3 bucket.
you can also check out parse_csv.py to find out how we used to do it before from just a standard csv. (Note the file is a bit dated, and it doesn't update the graph screenshot property)
Motivation
Why are we doing this? What use cases does it support? What is the expected outcome?
we want to create an environment where users can visually see the application they are viewing without having to directly go to a site, like just browsing through posts on social media until you find one you like.
The text was updated successfully, but these errors were encountered:
Summary
Creating an automatic, or perhaps a manual workflow (which can be automated to run at certain times) to update all the screenshots inside the graph. The implementation of this may be quite tricky,
Basic example
here are some of the screenshot cases you will come up against,
Motivation
Why are we doing this? What use cases does it support? What is the expected outcome?
we want to create an environment where users can visually see the application they are viewing without having to directly go to a site, like just browsing through posts on social media until you find one you like.
The text was updated successfully, but these errors were encountered: