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VariableRetriever / VariableSetter should play nice with feature caching

Related products:Transformers
  • December 13, 2022
  • 1 reply
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david_r
Celebrity

Feature caching is very powerful when authoring complex workspaces. It would be great if the VariableRetriever / VariableSetter transformers supported then feature caching mechanisms with partial runs, etc.

1 reply

sameer
Contributor
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  • Contributor
  • January 24, 2024

Yes Agree! I'm struggling to test my complex workspace because of that. I'm left using an Inspector at different locations.

 

Case scenario:

 

1) Python Script is used to generate a Token from API as JSON

2) Attribute Creator sets the different API Parameters including the token

3) The API however has Pagination using specific Page Size

3) Multiple Variable Setters / Retrievers are used to make sequential multiple HTTP Calls until the Total Records returned by the API is zero.

 

The token TTL is sufficient enough to carry out testing when Feature Caching is on thus avoiding generating an access token every time. That doesn't work with Variable Setters / Retrievers which makes building the complex Workspace cumbersome and difficult to troubleshoot at different places.

 


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