Sample App: Adding the knative function build for the sentiment analysis service #5904
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…coming cloudEvent
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I agree, and since cold start is already something on the back of customer
mind while working with serverless, we should not add extra perception
Thank you,
-N
…On Wed, 20 Mar 2024 at 12:33, Calum Murray ***@***.***> wrote:
***@***.**** commented on this pull request.
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In
code-samples/eventing/bookstore-sample-app/ML-sentiment-analysis/README.md
<#5904 (comment)>:
> + # Sleep for 3 seconds to simulate a long-running process
+ sleep(3)
I think since this is providing an example of how to build an app with
Knative it doesn't necessarily make sense to make it slower just to show
that some real world stuff could be slow, so my vote would be to remove it
(as long as everything still works without the sleep)
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knative/func#2241 has been resolved. In order to make func invoke work correctly, readers need to install latest knative function when available. (release 1.14) |
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: Leo6Leo, pierDipi The full list of commands accepted by this bot can be found here. The pull request process is described here
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…sis service (knative#5904) * Adding the knative function build for the sentiment analysis service * Update the sample code, so that the returned result is a cloudEvent * Update the sample code to give a specific event type to the response cloudEvent * Update the tutorial doc * Update the tutorial doc * Remove the docker registry info * Fix nit * Modify the return response type and how python function handle the incoming cloudEvent * Adding the explaination for serving * Unhide the alert box portion * Remove the intentional delay * Remove the duplicated line * Make the input as json instead of plaintext * Update the version of cloudEvent and update the deployment instruction * Update the tutorial to use the public URL instead of cluster-IP * Display the input text in the response
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Fixes #5889
Proposed Changes