Bill
ee7ea352c4
Decision-tree leaf outcomes are now cached on the main thread keyed by
their full 12-course assignment. Pin operations filter the cache and
re-derive top-K + per-set ceilings instantly with no worker spawn. Unpin
operations show the cached subset immediately and stream improvements as
a background worker fills in the missing leaves. Cache survives pin,
unpin, and adopt-plan; only ranking or mode changes invalidate it.
Solver / worker:
- searchDecisionTree accepts skipKeys (Set<string>) and pinnedAssignments
(Record<setId,courseId>). Leaves are emitted with their full 12-set
assignment so cache keys are stable across pin/unpin operations.
- evaluateLeaf short-circuits when the leaf's assignmentKey is in
skipKeys: increments iterations + emits progress, but skips the
optimizer call and all callbacks. Keeps progress percentage honest
(counts whole tree, not just delta).
- New deriveFromLeaves pure helper produces {topK, setAnalyses} from a
leaf collection; used by the main-thread cache filter and gives a
reusable derivation primitive for tests.
- Worker request gains skipKeys and pinnedAssignments fields. Worker
response gains a leafEvaluated event so the main thread can populate
its cache as the search streams.
App state:
- leafCacheRef holds Map<assignmentKey, PlanOutcome> scoped to the
current (ranking, mode) pair. The search effect now: invalidates on
ranking/mode change; computes the orderedCourses + expectedTotal;
filters the cache against the current pinned/excluded state; calls
deriveFromLeaves to render immediately; spawns the worker only when
filtered.length < expectedTotal, passing skipKeys.
- Cache cap of 500,000 leaves with full clear on overflow. Bounds
worst-case memory at ~150 MB.
UI (TopPlans):
- Course blocks in the per-plan row are now interactive buttons. Click
pins (or unpins, if the course is currently pinned) the course in
that set. Pinned blocks render in a selected blue color.
- Each plan row now shows the FULL 12-set sequence including pinned
courses (interleaved with the search's recommended choices for the
remaining open sets) so the displayed plan is always complete.
- Spec qualification tags removed from per-block display (kept the
set-label + course-name treatment for clarity).
Tests:
- New app/src/solver/__tests__/leafCache.test.ts with 4 tests:
skipKeys parity (second-pass run with skipKeys evaluates zero
leaves), deriveFromLeaves parity (matches a fresh search), cache
filter on pinned assignments, cache filter on excluded courses.
- All 78 prior tests continue to pass; 82 total.
Browser-verified: pin click on a Top Plans block from the cached
8-open-set scenario completes instantly with no spinner; unpin restores
the original cached subset (also instant when the prior space was
already cached); mode toggle correctly invalidates and re-runs the
search.
108 lines
11 KiB
Markdown
108 lines
11 KiB
Markdown
# Changelog
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## v1.3.2 — 2026-05-09
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### Changes
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- **Leaf cache for instant pin/unpin** — decision-tree leaf outcomes are now cached on the main thread keyed by their full 12-course assignment. Pin operations filter the cache and re-derive the top-K + per-set ceilings instantly with no worker spawn. Unpin operations show the cached subset immediately and stream improvements as a background worker fills in the missing leaves. The cache persists across pin, unpin, and adopt-plan operations.
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- **Cache invalidation** — the cache is cleared only when the active mode or the specialization ranking changes. Pin/unpin alone never invalidates.
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- **`skipKeys` worker contract** — workers now accept a list of cached assignment keys and skip the optimizer call for any leaf already in the cache, while still counting iterations toward the global progress percentage.
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- **`leafEvaluated` worker event** — workers stream individual leaf outcomes to the main thread for cache population as the search progresses.
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- **`deriveFromLeaves` shared helper** — pure function that produces the top-K and per-set ceilings from a leaf collection; used by both the main-thread cache filter and the worker's final emission for parity.
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- **500,000-leaf soft cap** — the cache is cleared if it grows beyond 500k entries, bounding worst-case memory at ~150 MB. Typical sessions stay well below.
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## v1.3.1 — 2026-05-09
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### Changes
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- **Exhaustive decision-tree search** — replaced the saturation early-termination with full enumeration of the open-set cartesian product. Per-set ceiling cells now reflect the true best outcome for every (set, course) pair instead of leaving most cells stuck at "0 specs". Top Plans surfaces all genuinely-feasible plans, including 3-spec maximize-count plans that the v1.3.0 search missed. The previous iteration cap has been removed; search runs to full completion.
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- **Mode-dependent enumeration ordering** — priority-order mode keeps the priority-target-first heuristic; maximize-count mode now orders DFS children by descending count of qualifications for *reachable* specializations, surfacing generalist courses (e.g., Climate Finance with 6 qualifications) before specialists.
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- **Mode-aware comparator** — top-K and per-cell ceiling rankings now match the active mode: priority-order ranks by `(priorityScore, count)` so the top-priority spec surfaces; maximize-count ranks by `(count, priorityScore)` so the highest count wins. Recommended badges follow the same rule.
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- **"Recommended" badge per set** — each elective set now highlights the choice with the best ceiling outcome under the current mode. Rendered inline next to the course name to keep button height stable.
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- **Color-coded spec tags** — the per-cell outcome list and the Top Plans badges now use a fixed per-spec color palette so each specialization is visually identifiable at a glance.
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- **"Top outcome if picked ↓" caption** — added a small column header on each open elective set so the spec tags are clearly identified as decision-tree outcomes (not the course's own qualifications).
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- **Visual progress bar** — Top Plans header now shows a progress bar with `iterations / total · NN%` while the search runs, replacing the earlier text-only count.
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- **Per-cell streaming indicators** — courses that haven't been evaluated yet show a "searching" pulse instead of misleading "0 specs"; cells transition to their final value as the search completes.
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- **Per-set spinner** — each elective set heading shows a spinner while at least one of its choices is still unevaluated.
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## v1.3.0 — 2026-05-09
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### Changes
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- **Top Plans panel** — new ranked list of up to 10 complete course plans, each showing the achieved specializations and the courses to pin. An "Adopt plan" button pins all of a plan's courses in one click. Updates progressively as the search finds better outcomes.
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- **Priority-aware decision tree** — fixes the bug where a specialization could show "Achievable" without any per-set ceiling cell surfacing it. The decision-tree search now compares enumerated combinations by `(count desc, priority score desc)` and reorders DFS children so courses qualifying for the user's first reachable ranked spec are tried first, surfacing high-priority outcomes early.
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- **Bounded search with saturation termination** — search stops when the top-K stabilizes (default 500 stable iterations) or when the iteration cap (10000) is hit; partial results are flagged in the UI.
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- **Per-cell streaming** — the worker now emits per-cell ceiling updates instead of per-set rollups, so the per-set table refines progressively rather than appearing in coarse chunks.
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## v1.2.2 — 2026-05-09
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### Changes
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- **Healthcare specialization (HCR)** — added 15th specialization, Healthcare; qualifies via The Business of Health & Medical Care (Spring Set 2), Analytics & Machine Learning for Managers (Spring Set 3), Digital Marketing Strategy in Practice (Summer Set 2), and Managing Change (Fall Set 1); 10 total credits available, no required course gate
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- **Course rename** — "Social Media and Mobile Technology" renamed to "Digital Marketing Strategy in Practice"; description replaced with new MSKCC-anchored content covering digital strategy and agentic AI; instructor cleared pending confirmation
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- **Cancellations (Approach B)** — switched from delete-and-replace to flagging cancelled courses with `cancelled: true`. "Customer Insights" (Spring Set 5) is now marked cancelled. "Managing Growing Companies" reappears in Summer Set 2 as a cancelled placeholder per the J27 sheet
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- **Reachability test** — `data.test.ts` now excludes cancelled courses when counting per-spec set reachability, so future cancellations are caught by an obvious assertion failure
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## v1.2.1 — 2026-03-27
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### Bug Fixes
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- **Achievable status accuracy** — specializations marked "Achievable" are now verified via LP feasibility check against already-achieved specs; previously, a specialization could show "Achievable" based on raw credit potential while actually being infeasible due to credit sharing with higher-priority achieved specializations
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## v1.2.0 — 2026-03-27
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### Changes
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- **Course info popovers** — each course now has an info icon that opens a popover showing the course description, instructor(s), and specialization tags, extracted from the J27 Electives PDF; opens on hover (desktop) or tap (mobile), with smart positioning that flips above when near the bottom of the viewport
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- **Page title and favicon** — updated browser tab from "app" with Vite icon to "EMBA Specialization Solver" with a graduation cap favicon in NYU Stern purple
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- **Viewport-fitted layout** — desktop layout now fits within the viewable area without page-level scrolling; each pane scrolls independently
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## v1.1.1 — 2026-03-27
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### Changes
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- **Course replacement** — replaced cancelled "Managing Growing Companies" with new course "Innovation and Design" in Summer Elective Set 2; qualifies for Brand Management, Entrepreneurship and Innovation, Marketing, and Strategy (S2)
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## v1.1.0 — 2026-03-13
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### Changes
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- **Cancelled course support** — "Managing Growing Companies" (Summer Elective Set 2) is marked as cancelled and rendered with strikethrough, greyed-out styling, and a "(Cancelled)" label; it is excluded from solver computations and decision tree enumeration
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- **Duplicate course prevention** — courses that appear in multiple elective sets (e.g., "Global Immersion Experience II" in Spring Set 1 and Summer Set 1, "The Financial Services Industry" in Spring Set 2 and Fall Set 4) are now linked; selecting one automatically disables and excludes its duplicate from selection and solver calculations, shown with an "(Already selected)" label
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- **Credit bar tick marks** — specialization progress bars now display light vertical tick marks at 2.5-credit intervals for visual scale reference, layered above bar fills with the 9.0 threshold marker remaining visually distinct
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## v1.0.0 — 2026-02-28
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Initial release of the EMBA Specialization Solver.
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### Features
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- **Optimization engine** — LP-based credit allocation solver with two modes:
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- **Maximize Count** — finds the largest feasible set of specializations, using ranking as tiebreaker
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- **Priority Order** — greedily adds specializations in user-ranked order
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- **Course selection UI** — select one course per elective set across 12 sets (Spring, Summer, Fall terms)
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- **Drag-and-drop specialization ranking** — reorder the 14 specializations by priority with touch and keyboard support
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- **Decision tree analysis** — Web Worker enumerates remaining course combinations to compute ceiling outcomes per choice
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- **Status tracking** — each specialization classified as achieved, achievable, missing required course, or unreachable
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- **Mode comparison** — displays what the alternative optimization mode would produce
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- **Credit bars and allocation breakdowns** — visual progress toward the 9-credit threshold with expandable per-course detail
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- **Credit legend** — collapsible explainer for bars, badges, and limits
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- **Required course labels** — courses that are prerequisites for a specialization show "Required for ..." labels
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- **Algorithm explanations** — clear descriptions of how each optimization mode works
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- **Skeleton loading** — placeholder UI while decision tree analysis runs
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- **Auto-expand achieved specializations** — achieved specs show their credit breakdown by default
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- **Responsive layout** — two-panel grid on desktop/tablet, single-column on mobile
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- **Mobile floating banners** — top banner summarizes specialization statuses, bottom banner shows selection progress (N/12); both appear via IntersectionObserver and scroll to their sections on tap
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- **CSS transitions and animations** — cross-fade course pin/unpin, credit bar width changes, status badge color transitions, expand/collapse panels, mode toggle switching, flash on status changes; all respect `prefers-reduced-motion`
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- **State persistence** — rankings and selections saved to localStorage
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- **Docker deployment** — multi-stage Dockerfile (Node 22 build → Nginx Alpine serve) with Docker Compose, gzip compression, SPA fallback routing, immutable cache headers for hashed assets, configurable port (default 8080)
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- **Full test suite** — data integrity, feasibility solver, optimizer, and decision tree tests via Vitest
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### Constraints Modeled
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- Credit non-duplication (2.5 credits per course shared across specializations)
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- Maximum 3 specializations (30 total credits, 9 required each)
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- Required course prerequisites for 4 specializations
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- Strategy S1/S2 tier system (at most 1 S2 course contributes to Strategy)
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- Mutual exclusion from same-set conflicts
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