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nuzlocke-tracker/.beans/nuzlocke-tracker-rzu4--game-data-cleanup.md
2026-02-11 15:34:02 +01:00

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title, status, type, priority, created_at, updated_at
title status type priority created_at updated_at
Game Data Cleanup completed epic critical 2026-02-10T08:58:36Z 2026-02-11T14:33:31Z

Audit and fix the game seed data to ensure all supported games have accurate encounter data and correct route ordering. PokeAPI provides a solid basis for Gen 1-7, but later games (Gen 8+) have no encounter data at all (stub/null JSON files), and route ordering is only defined for Gen 1-4. This is mostly manual work, but we should explore automated/semi-automated options where possible (e.g. scraping community wikis, leveraging existing fan-curated datasets).

Current State

Encounter data status:

  • Complete (from PokeAPI): Red, Blue, Yellow, FireRed, LeafGreen, Gold, Silver, Crystal, HeartGold, SoulSilver, Ruby, Sapphire, Emerald, Diamond, Pearl, Platinum, Black, White, Black 2, White 2, X, Y, Sun, Moon, Ultra Sun, Ultra Moon
  • Stub/null (no data): Sword, Shield, Scarlet, Violet, Brilliant Diamond, Shining Pearl, Legends Arceus
  • Minimal/partial: Omega Ruby, Alpha Sapphire (96 lines each), Let's Go Pikachu/Eevee (134 lines each), Legends Z-A (1298 lines, partially complete)

Route ordering status (route_order.json):

  • Defined: firered-leafgreen (+ aliases: red-blue, yellow, lets-go), heartgold-soulsilver (+ aliases: gold-silver, crystal), emerald (+ aliases: ruby-sapphire, omega-ruby-alpha-sapphire), platinum
  • Missing: diamond-pearl, black-white, black-2-white-2, x-y, sun-moon, ultra-sun-ultra-moon, sword-shield, brilliant-diamond-shining-pearl, scarlet-violet, legends-arceus, legends-z-a

Special considerations:

  • Existing PokeAPI data may have inaccurate encounter rates or missing special encounters (gifts, fossils, starters)
  • Sub-area grouping (children) may need review — some routes are split into too many/few sub-areas
  • The special_encounters.json file handles manual additions but may be incomplete for later gens

Approach

  • Manual curation is the primary approach for most tasks
  • Explore automated options: community datasets (e.g. veekun/pokedex, PokeAPI CSV data), wiki scraping, or other structured data sources
  • Use the admin panel and export CLI to verify/edit data after seeding