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>
2.8 KiB
2.8 KiB
MODIFIED Requirements
Requirement: Resource History page SHALL support date range and granularity selection
The page SHALL allow users to specify time range and aggregation granularity. On query, the page SHALL use a two-phase flow: POST /query returns queryId, subsequent filter changes use GET /view.
Scenario: Primary query via POST /query
- WHEN user clicks the query button
- THEN the page SHALL call
POST /api/resource/history/querywith date range, granularity, and resource filters - THEN the response queryId SHALL be stored for subsequent view requests
- THEN summary (KPI, trend, heatmap, comparison) and detail page 1 SHALL all be populated from the single response
Scenario: Filter change uses GET /view
- WHEN user changes supplementary filters (workcenter groups, families, machines, equipment type) while queryId exists
- THEN the page SHALL call
GET /api/resource/history/view?query_id=...&filters... - THEN no new Oracle query SHALL be triggered
- THEN all charts, KPI cards, and detail table SHALL update from the view response
Scenario: Pagination uses GET /view
- WHEN user navigates to a different page in the detail table
- THEN the page SHALL call
GET /api/resource/history/view?query_id=...&page=...
Scenario: Date range or granularity change triggers new primary query
- WHEN user changes date range or granularity and clicks query
- THEN the page SHALL call
POST /api/resource/history/querywith new params - THEN a new queryId SHALL replace the old one
Scenario: Cache expired auto-retry
- WHEN GET /view returns
{ success: false, error: "cache_expired" } - THEN the page SHALL automatically re-execute
POST /api/resource/history/querywith the last committed filters - THEN the view SHALL refresh with the new data
Requirement: Resource History page SHALL display KPI summary cards
The page SHALL show 9 KPI cards with aggregated performance metrics derived from the cached dataset.
Scenario: KPI cards from cached data
- WHEN summary data is derived from the cached DataFrame
- THEN 9 cards SHALL display: OU%, AVAIL%, PRD, SBY, UDT, SDT, EGT, NST, Machine Count
- THEN values SHALL be computed from the cached shift-status records, not from a separate Oracle query
Requirement: Resource History page SHALL display hierarchical detail table
The page SHALL show a three-level expandable table derived from the cached dataset.
Scenario: Detail table from cached data
- WHEN detail data is derived from the cached DataFrame
- THEN a tree table SHALL display with the same columns and hierarchy as before
- THEN data SHALL be derived in-memory from the cached DataFrame, not from a separate Oracle query