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Labels for feature #499

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imjuanleonard
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@imjuanleonard imjuanleonard commented Feb 27, 2020

  1. Ensure that your code follows our code conventions ✅
  2. Run unit tests and ensure that they are passing
  3. If your change introduces any API changes, make sure to update the integration tests scripts here
  4. Make sure documentation is updated for your PR! ✅
  5. Make sure you have signed the CLA https://cla.developers.google.com/clas

What this PR does / why we need it:
Full discussion is available on this issue

Which issue(s) this PR fixes:
Fixes #463 on the service side

Does this PR introduce a user-facing change?:

- Add labels column to Feature/Entity

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Hi @imjuanleonard. Thanks for your PR.

I'm waiting for a gojek member to verify that this patch is reasonable to test. If it is, they should reply with /ok-to-test on its own line. Until that is done, I will not automatically test new commits in this PR, but the usual testing commands by org members will still work. Regular contributors should join the org to skip this step.

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@@ -230,6 +233,23 @@ def max_age(self, max_age):
"""
self._max_age = max_age

@property
def label(self):
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Label isnt a property of a feature set, its a property of a feature.

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@imjuanleonard imjuanleonard Feb 27, 2020

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My bad, Thanks for clarifying

Hence, this is current to do Checklist:

  • Add Mac development set-up guide using homebrew
  • Create the labels column on Field Class (This will affect the Feature and Entity)
  • Create a gateway to Create, List (Should be able to print the labels column), and Delete to the labels Column in Feature class using python SDK Client
  • Add the test with labels Column empty and labels Column marked in Feature class
  • Update the integration test tree
  • Update the documentation on how to use the labels from Feature function

Notes, Datatype for each of the layers

Python: dict()
Java: Map<String, String>
Table: Varchar(255): with key-value object store in JSON

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Varchar(255): with key-value object store in JSON

Why are you limiting it to that small of a size? I also think you should maybe consider comma or tab separation here and using a Set (in the Java model)

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Sure @woop , now I am using 'TEXT' for a result similar with Varchar(Max), thanks for the input

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[APPROVALNOTIFIER] This PR is NOT APPROVED

This pull-request has been approved by: imjuanleonard
To complete the pull request process, please assign woop
You can assign the PR to them by writing /assign @woop in a comment when ready.

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[APPROVALNOTIFIER] This PR is NOT APPROVED

This pull-request has been approved by: imjuanleonard
To complete the pull request process, please assign woop
You can assign the PR to them by writing /assign @woop in a comment when ready.

The full list of commands accepted by this bot can be found here.

Needs approval from an approver in each of these files:

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woop commented Mar 2, 2020

/ok-to-test

@@ -48,6 +48,7 @@
"numpy",
"google",
"confluent_kafka",
"tensorflow-metadata>=0.21,<0.22",
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What is this for?

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@imjuanleonard imjuanleonard Mar 2, 2020

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This is a missing dependency because we are using the TensorFlow metadata proto

Previously I keep facing this bug whenever I tried to generate my proto. We verified on a clean install on @davidheryanto environment as well.

In fact @davidheryanto is the one who found it

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Ok, but how is it related to your PR? Should it be a separate PR?

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I think you're right, should created a separate PR
#508

This is the PR @woop, this also generates the python SDK Protos

This will help to reduce the file change in this PR, so we can focus on the features

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The following users are mentioned in OWNERS file(s) but are not members of the gojek org.

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  • imjuanleonard
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@@ -214,6 +225,40 @@ public Field(EntitySpec entitySpec) {
}
}

public Map<String, String> getLabels() {
ObjectMapper mapper = new ObjectMapper();
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in TypeUtils we have helper functions convertJsonStringToMap and convertMapToJsonString, you might want to use those for converting to and from json.

@imjuanleonard imjuanleonard force-pushed the feature-set-label-and-sdk branch 2 times, most recently from cd47be2 to abcce8c Compare March 10, 2020 23:21
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/retest test-core-and-ingestion

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/retest

@imjuanleonard imjuanleonard changed the title [WIP] Do not merge - Feature set label and sdk access to it Labels for feature Mar 11, 2020
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imjuanleonard commented Mar 17, 2020

All the comments in this merge have been addressed, it is ported to #536

@imjuanleonard imjuanleonard deleted the feature-set-label-and-sdk branch March 17, 2020 21:23
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Extend feature set and/or feature metadata
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