Batch Recommendation Deployment Plan

AWS

• -

Terraform @Luthfi

• Update terraform environment

PERSONALIZE_ROLE_ARN
USER_PERSONALIZATION_V2_SOULTION_ARN

HH-Personalize Server @Luthfi

• Merge branch feat/batch-recommndation to main
• Release hh-personalize app

Exec Notebook Databrick @Luthfi

• Clear old data [on-progress]
• Load reservation data to s3 [on-progress 100%]
  • Retry because of this error: https://app.clickup.com/t/86cy1j39t
• Load restaurants data to s3 [on-progress]
• Load users data
• Verify data
• Execute hh-personalize-v2.ipynb
  • Make sure env & aws account is correct
  • Exec create s3 code first
  • Update roles
  • Create dataset group
  • Create schema (interactions, items, users)
  • Create schema dataset (interactions, items, users)
  • Create Job import data
    • Interactions [error][done]
    • Items
    • Users
  • Create user personalization solution v2
  • Save the output
  • Run worker to rolling the recommendation [on progress 20%]

Check & Re-check @Luthfi

• Health check https://personalize.hungryhub.com/health
• GraphQL check https://personalize.hungryhub.com/graphiql
  • Trigger deploy
  • GetRecommendedForYou API
• BullMQ check https://personalize.hungryhub.com/bullmq

HH-Pegasus

• Enable Homepage setting Recommended For You @Luthfi
  • Prod: https://hungryhub.com/admin/restaurant_sections?locale=en
  • Staging: https://hh-engineering.my.id/admin/restaurant_sections/137/edit?locale=en
• Live Review Production @Luthfi
  • QA Review: @Bernadetta Kusumadewi @wiwik @Rina Apriani
  • Monitor server @Luthfi
  • Monitor worker @Luthfi

Post Release

• Ask QA & Thai Team to test
• If everything is good, enable it for all users

Jupyter Notebook Execution: