feat(reject-history): two-phase query architecture with cached views

Replace per-interaction Oracle queries with a two-phase model:
- POST /query: single Oracle hit, cache full LOT-level DataFrame (L1+L2)
- GET /view: read cache, apply supplementary/interactive filters via pandas

Add container query mode (LOT/工單/WAFER LOT with wildcard support),
supplementary filters (Package/WC GROUP/Reason) from cached data,
PB_* series exclusion (was PB_Diode only), and query loading spinner.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

environment.yml

@@ -27,6 +27,7 @@ dependencies:
 
       # Data Processing
       - pandas==2.3.3   # Pin DBAPI2-compatible release for current pd.read_sql flow
+      - pyarrow>=17.0.0,<20.0.0   # Parquet serialization for Redis DataFrame cache
       - openpyxl>=3.0.0
 
       # Cache (Redis)