Commit Graph

12 Commits

Author SHA1 Message Date
kkfluous
200172f0af feat(scheduling): role-based access + align list count with qualifiedCount
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- Gate 智能调度 module on BI-SCHEDULE-OPT role (or full-access roles)
  via shared canAccessScheduling helper, replacing hardcoded userId allowlist
- Thread roles[] through JWT payload → middleware → frontend nav
- Add router guard that 403s non-authorized users on /api/scheduling/*
- Emit replace_qualified suggestion for every qualified vehicle so list
  count matches the 已完成考核目标 card; recalc qualifiedCount /
  hopelessCount post-permission-filter for card↔list consistency

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-17 15:42:21 +08:00
kkfluous
ba1e0e9f16 feat(scheduling): add 近期已干预 summary card (last 7 days)
Restore 替换建议 card and add a new emerald 近期已干预 card. Clicking
opens the history modal pre-filtered to the last 7 days (excluding
cancelled) via a toggle chip users can switch off.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-17 09:25:59 +08:00
kkfluous
1d9f4cb43d feat(scheduling): history view, execute/cancel lifecycle, CSV export, 7d trend
- Add 调度记录 modal: lists notifications by status, supports 标记已执行 (with
  after-mileage + notes) and 取消 for open records
- Add CSV export of filtered suggestions (UTF-8 BOM for Excel); top candidate
  per row picked by same-region > can-qualify preference
- Compute customer 7-day average alongside 30-day baseline in a single query;
  show trend indicator (up/down/flat) next to 客户日均 in list and detail card

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-16 23:47:31 +08:00
kkfluous
3ef0d4edfa feat(scheduling): persist notifications, batch notify flow, dedup protection
- Add tab_scheduling_notifications table with bootstrap via ensureSchedulingTables()
- Notify endpoint rewritten: dedup by (suggestion_id, candidate_plate), history list, PATCH /:id for execute/cancel lifecycle
- Batch notify endpoint returns success/skipped/failed counts
- Suggestions response now carries notificationId + notificationStatus per candidate (joined from active-notification map)
- UI: select mode with checkboxes, floating action bar, confirmation modal listing each swap; already-notified items are dimmed and skipped
- Detail view badges show sent/executed state, preventing duplicate notify

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-16 23:43:21 +08:00
kkfluous
aa9a29fed8 fix(scheduling): use each candidate's own daysLeft for prediction
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Different assessment targets have different end dates. Previously all
candidates used the current vehicle's daysLeft, causing wrong predictions.

Now each inventory vehicle computes its own daysLeft from its assessment
target's current_year_assessment_end_date. predictedAfterSwap uses the
candidate's own daysLeft instead of the current vehicle's.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 22:58:47 +08:00
kkfluous
d0984a430b refactor(scheduling): improve reason text, fix classification, polish detail view
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- Classification: qualified requires actual completionRate >= 100% (not just predicted)
- Reason text: structured two-column layout (客户日均 | 考核周期剩余)
- Conclusion line in red bold (预估无法达标,需替换 / 已达标,建议换上未达标车辆)
- Remove verbose subtitle from candidate section
- Remove redundant middle line (预估考核期里程 vs 考核里程)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 22:32:50 +08:00
kkfluous
694e9a207a feat(scheduling): enable department/personal permission filtering
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- Disable BYPASS_AUTH (was true, now false) — backend enforces JWT auth
- Scheduling suggestions filtered by department/manager permissions:
  - full: see all suggestions
  - department: see only own department's vehicles
  - personal: see only own managed vehicles
- Candidate vehicles (inventory) remain fully visible to all
- Summary recalculated after permission filtering
- Consistent with mileage module permission model

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 22:04:52 +08:00
kkfluous
9398688829 feat(scheduling): add department/manager filters, refine color palette
- Add department and manager fields to backend types and suggestions API
- Add department/manager to advanced filter panel
- Refine card colors: orange (换下) / blue (换走) / dark slate (全部)
- Selected card uses solid bg color, inactive uses gradient
- Batch pills use dark slate, confirm button uses dark slate
- Background changed to #F0F4F8 for subtle cool tone

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 21:28:04 +08:00
kkfluous
ec3b079311 fix(scheduling): only suggest replacements for rented/operated vehicles
Filter enriched vehicles to only include rent_status = '租赁' or '自营'.
Inventory candidates already filtered by truck_rent_status = 0 (在库).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 20:52:16 +08:00
kkfluous
033af15814 fix(scheduling): include soft-deleted trucks and infer type from target name
411 of 451 assessment vehicles had is_deleted=1 in tab_truck, causing type
classification to fall back to "其他" and miss all inventory matches. Fix:
- Remove is_deleted=0 filter from truck type query (assessment vehicles need type info regardless)
- Add inferTypeFromTargetName() fallback deriving type from target name when truck record is missing

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 20:47:00 +08:00
kkfluous
253cc2f2c0 fix(scheduling): fix vehicle type classification and algorithm candidate matching
- classifyVehicleType now parses dic_type.dic_name (e.g. "4.5吨冷链车") instead of raw model code
- Remove overly strict completionRate >= 0.8 filter for hopeless candidates
- Use vehicle's yearTarget as fallback when inventory has no assessment target
- Filter out suggestions with no candidates (not actionable)
- estimatedGain counts rescue_hopeless suggestions as potential gains

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 20:31:44 +08:00
kkfluous
4169e04a9c feat(scheduling): add suggestions route with data aggregation
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 20:23:56 +08:00