Ports the core item processing: raw item JSON -> normalized columns for all 7
tables, with the exact per-table sentinel->NULL rules, material/item_set string
translation, the Spells/ActiveSpells union (is_active), and compute_base_values
(the spell_effects buff-reversal for base_armor_level/base_max_damage/
base_attack_bonus/etc., with the data embedded and the 167772170-vs-167772172
attack-bonus id discrepancy preserved). loadEnums now also loads MaterialType.
A loopback POST /debug/process returns the normalized columns for validation.
Validated against production's STORED rows (read-only, no writes): 0 mismatches
across 200 items for every sampled column of items, item_enhancements (incl.
translated material + set), item_combat_stats (incl. base_* values), and
item_ratings.
This unlocks ingestion (the processor produces the rows) and the remaining
search-response enrichment (spells/weapon/mana from the same extractor).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Loads the ObjectClass enum map and adds object_class_name via translate_object_class,
including the context-aware Gem(11) classification (crystal/mana stone/gem/aetheria
by item name, using the original name before the material prefix). The rare
aetheria-by-IntValues path is documented as not reproduced (needs original_json).
Validated vs Python: 0 mismatches over 600 rows (3 queries incl. a 'crystal' text
search that exercises the gem context) for object_class_name, name, material_name,
item_set_name, value.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Ports the search CTE (items_with_slots: combat/req/enh joins + the rating
extractions from item_raw_data.int_values JSONB via GREATEST/COALESCE, coverage
mask, computed_spell_names), the SQL filters, sort mapping, pagination, and the
DISTINCT count query. Returns each row's direct DB columns + computed booleans
(is_equipped/bonded/attuned/rare, condition_percent).
Validated vs the Python service on the production DB: total_count EXACT across
13 filter combinations (armor/jewelry/min_armor/min_damage/text/material/
min_value/is_rare/rating/equipped/character/workmanship), and 50-row alignment
with 0 direct-column mismatches (same SQL sort order, same rows).
Deferred to later slices: deep per-row enrichment (extract_item_properties:
material_name/spells/slot_name/object_class_name/...), and the enum-dependent
filters (has_spell/spell_contains/legendary_cantrips, slot_names, item_set,
weapon_type, underwear).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
First slice of the inventory-service port, running in parallel READ-ONLY against
the production inventory_db (never written):
- main.go/store.go: pgx pool (forced read-only), enum-DB loader extracting
AttributeSetInfo for set-name resolution, /health, /sets/list, /characters/list.
- Dockerfile + compose service inventory-go (127.0.0.1:8772, enum JSON mounted).
Validated vs the Python service on the same DB: /characters/list 167 chars exact
counts; /sets/list 76 sets EXACT match (ids, names, counts).
Remaining (large): /search/items (40+ filters + enrich_db_item), inventory
fetch, item-processing ingestion (extract_item_properties), and the suitbuilder
solver.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
