Two changes combined:
1. historical-query-slow-connection: Migrate all historical query pages
to read_sql_df_slow with semaphore concurrency control (max 3),
raise DB slow timeout to 300s, gunicorn timeout to 360s, and
unify frontend timeouts to 360s for all historical pages.
2. hold-resource-history-dataset-cache: Convert hold-history and
resource-history from multi-query to single-query + dataset cache
pattern (L1 ProcessLevelCache + L2 Redis parquet/base64, TTL=900s).
Replace old GET endpoints with POST /query + GET /view two-phase
API. Frontend auto-retries on 410 cache_expired.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Reject History:
- Compute dimension pareto (package/type/workflow/workcenter/equipment) from
cached DataFrame instead of re-querying Oracle per dimension change
- Propagate supplementary filters and trend date selection to dimension pareto
- Add staleness tracking to prevent race conditions on rapid dimension switches
- Add WORKFLOWNAME to detail and export outputs
- Fix button hover visibility with CSS specificity
MSD (製程不良追溯分析):
- Separate raw events caching from aggregation computation so changing
loss_reasons uses EventFetcher per-domain cache (fast) and recomputes
aggregation with current filters instead of returning stale cached results
- Exclude loss_reasons from MSD seed cache key since seed resolution does
not use it, avoiding unnecessary Oracle re-queries
- Add suspect context panel, analysis summary, upstream station/spec filters
- Add machine bar click drill-down and filtered attribution charts
Query Tool:
- Support batch container_ids in lot CSV export (history/materials/rejects/holds)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Rebuild /admin/performance from Jinja2 to Vue 3 SPA with ECharts, adding
cache telemetry infrastructure, connection pool monitoring, and SQLite-backed
historical metrics collection with trend chart visualization.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
