feat: calm dashboard workspace#334
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Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request introduces a comprehensive overhaul of the dashboard, transforming it into a more focused and intuitive workspace. The changes aim to simplify the user interface, enhance the presentation of critical information through new intelligence features, and improve the precision of automated alerts like the deadline radar. The refactoring also streamlines the research workflow controls, making the dashboard a central hub for managing research activities efficiently. Highlights
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Pull request overview
This PR reshapes the web dashboard into a calmer “workspace” layout (continuous Today rail + embedded workflow console) and adds supporting intelligence/deadline matching helpers and types so the new dashboard sections can render.
Changes:
- Add “intelligence feed” types, API helper, and UI card-mapping utilities (with tests) for dashboard signals.
- Redesign the dashboard page into a workspace layout and embed a compact
TopicWorkflowDashboard. - Improve deadline radar matching by expanding term/token matching across track keywords/methods/venues and conference metadata.
Reviewed changes
Copilot reviewed 9 out of 10 changed files in this pull request and generated 6 comments.
Show a summary per file
| File | Description |
|---|---|
| web/src/lib/types.ts | Adds intelligence feed response/item types and extends deadline radar match payload shape. |
| web/src/lib/dashboard-intelligence.ts | Builds dashboard-friendly “evidence cards” from intelligence feed items (incl. empty state). |
| web/src/lib/dashboard-intelligence.test.ts | Adds unit tests for intelligence card mapping logic. |
| web/src/lib/dashboard-api.ts | Adds fetchIntelligenceFeed API wrapper for the dashboard. |
| web/src/components/research/TopicWorkflowDashboard.tsx | Major UI restructuring for a dashboard-friendly workflow console (compact mode + workspace tabs). |
| web/src/app/dashboard/page.tsx | Replaces old dashboard with new workspace layout, Today rail, evidence snapshot, and embedded workflow. |
| src/paperbot/api/routes/research.py | Expands deadline matching logic and returns matched_terms. |
| tests/unit/test_research_paper_registry_routes.py | Extends deadline radar test coverage for the new matching behavior. |
| README.md | Updates dashboard screenshot caption copy. |
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| const highPriorityQueue = queueItems.filter((item) => item.priority === "high").length | ||
| const failedTasks = tasks.filter((task) => task.status === "failed") | ||
| const urgentDeadlines = deadlines.filter((deadline) => deadline.days_left <= 14) | ||
| const signalCount = intelligenceCards.length |
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signalCount is derived from intelligenceCards.length, which currently includes the synthetic empty-state card. If you keep the placeholder card behavior, compute counts from intelligenceFeed.items.length (or filter out the placeholder id) so alerts/metrics don’t report a signal when there are none.
Suggested change
| const signalCount = intelligenceCards.length | |
| const signalCount = intelligenceFeed.items?.length ?? 0 |
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| {intelligenceCards.length > 0 ? ( | ||
| intelligenceCards.map((item) => <EvidencePreviewCard key={item.id} item={item} compact />) | ||
| ) : ( | ||
| <div className="rounded-2xl border border-dashed border-slate-300 bg-slate-50/50 p-5 text-sm leading-6 text-slate-600 md:col-span-2 xl:col-span-3"> | ||
| 当前没有需要上浮到首页的社区信号。可以直接在主工作台继续推进当前问题。 | ||
| </div> | ||
| )} |
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This intelligenceCards.length > 0 check assumes the cards array can be empty, but buildDashboardIntelligenceCards([]) currently returns a synthetic empty-state card. That means the else branch won’t render. Either have the builder return [] for an empty feed, or simplify this section to always render the returned cards (including a dedicated empty-state card).
Suggested change
| {intelligenceCards.length > 0 ? ( | |
| intelligenceCards.map((item) => <EvidencePreviewCard key={item.id} item={item} compact />) | |
| ) : ( | |
| <div className="rounded-2xl border border-dashed border-slate-300 bg-slate-50/50 p-5 text-sm leading-6 text-slate-600 md:col-span-2 xl:col-span-3"> | |
| 当前没有需要上浮到首页的社区信号。可以直接在主工作台继续推进当前问题。 | |
| </div> | |
| )} | |
| {intelligenceCards.map((item) => ( | |
| <EvidencePreviewCard key={item.id} item={item} compact /> | |
| ))} |
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| const qs = new URLSearchParams({ | ||
| user_id: userId, | ||
| limit: String(limit), | ||
| }) | ||
| if (filters?.source) qs.set("source", filters.source) | ||
| if (filters?.keyword) qs.set("keyword", filters.keyword) | ||
| if (filters?.repo) qs.set("repo", filters.repo) | ||
| if (filters?.sortBy) qs.set("sort_by", filters.sortBy) | ||
| if (filters?.sortOrder) qs.set("sort_order", filters.sortOrder) | ||
| if (filters?.trackId) qs.set("track_id", String(filters.trackId)) | ||
|
|
||
| const payload = await fetchJsonOrNull<IntelligenceFeedResponse>(`/intelligence/feed?${qs.toString()}`) | ||
| return payload || { |
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fetchIntelligenceFeed calls /intelligence/feed, but there is no corresponding backend route registered under src/paperbot/api/routes in this repo (no /intelligence endpoints). Unless this is served elsewhere, this will always return the fallback empty payload and adds an extra request on every dashboard load. Either implement/register the backend route or update the path to an existing endpoint.
Suggested change
| const qs = new URLSearchParams({ | |
| user_id: userId, | |
| limit: String(limit), | |
| }) | |
| if (filters?.source) qs.set("source", filters.source) | |
| if (filters?.keyword) qs.set("keyword", filters.keyword) | |
| if (filters?.repo) qs.set("repo", filters.repo) | |
| if (filters?.sortBy) qs.set("sort_by", filters.sortBy) | |
| if (filters?.sortOrder) qs.set("sort_order", filters.sortOrder) | |
| if (filters?.trackId) qs.set("track_id", String(filters.trackId)) | |
| const payload = await fetchJsonOrNull<IntelligenceFeedResponse>(`/intelligence/feed?${qs.toString()}`) | |
| return payload || { | |
| // Currently, there is no backend route for `/intelligence/feed` in this repo. | |
| // To avoid an unnecessary failing request, return the default payload directly. | |
| return { |
| </div> | ||
| <div className="space-y-2"> | ||
| {queryItems.map((query, index) => ( | ||
| <div key={`${index}-${query}`} className="flex items-center gap-2 rounded-2xl border border-slate-200 bg-slate-50/80 px-3 py-2"> |
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key={${index}-${query}} will change on every keystroke as the query string changes, causing the row (and its <Input>) to unmount/remount and potentially lose focus/cursor position while typing. Use a stable key per row (e.g., the index if the list is append/remove only, or store a generated id alongside each query item).
Suggested change
| <div key={`${index}-${query}`} className="flex items-center gap-2 rounded-2xl border border-slate-200 bg-slate-50/80 px-3 py-2"> | |
| <div key={index} className="flex items-center gap-2 rounded-2xl border border-slate-200 bg-slate-50/80 px-3 py-2"> |
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| fetchLLMUsage(14), | ||
| fetchDeadlineRadar("default"), | ||
| fetchIntelligenceFeed("default", 6, { sortBy: "delta", sortOrder: "desc" }), | ||
| fetchPapers(), | ||
| ]) |
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fetchPapers() pulls the entire papers library (/papers/library) just to enrich the small reading-queue preview. If the library is large this can significantly slow dashboard loads and increase backend load. Prefer fetching only the specific paper ids referenced by readingQueue (batch endpoint) or returning the needed metadata directly from fetchDashboardReadingQueue.
| : { items: [], total: 0 } | ||
| const activeTrackFeed = activeTrackFeedResult.items || [] | ||
| const activeTrackFeedTotal = activeTrackFeedResult.total || 0 | ||
| const intelligenceCards = buildDashboardIntelligenceCards(intelligenceFeed.items) |
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buildDashboardIntelligenceCards([]) returns a synthetic “empty” card, so intelligenceCards is never actually empty. That makes downstream logic (counts, conditional rendering, alerting) treat an empty feed as having 1 signal. Consider returning [] here and letting the caller render the empty state UI, or have this function optionally include/exclude the placeholder card.
Suggested change
| const intelligenceCards = buildDashboardIntelligenceCards(intelligenceFeed.items) | |
| const intelligenceCardsRaw = buildDashboardIntelligenceCards(intelligenceFeed.items) | |
| const intelligenceCards = | |
| intelligenceFeed.items.length === 0 ? [] : intelligenceCardsRaw |
![gemini-code-assist[bot]](https://avatars.githubusercontent.com/in/956858?s=60&v=4){kind=small}
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Code Review
This pull request introduces a major redesign of the dashboard, aiming for a 'calmer' and more focused workspace. It also enhances the deadline radar with more sophisticated term matching. The changes are extensive, especially on the frontend, with a complete rewrite of the main dashboard page and significant refactoring of the topic workflow component. New APIs and types for 'dashboard intelligence' are also added.
My review focuses on improving code quality and maintainability. I've identified some areas for improvement, including removing unused code and redundant API fields in the backend, and addressing potential issues with hardcoded strings and unstable keys in the React components on the frontend. Overall, this is a significant and well-structured feature addition.
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| conf_keywords = { | ||
| str(k).strip().lower() for k in (item.get("keywords") or []) if str(k).strip() | ||
| } | ||
| conf_terms = _collect_conference_deadline_terms(item) | ||
|
|
||
| matched_tracks: List[Dict[str, Any]] = [] | ||
| for track in tracks: | ||
| track_id = int(track.get("id") or 0) | ||
| if track_id <= 0: | ||
| continue | ||
| overlap = sorted(conf_keywords & track_tokens.get(track_id, set())) | ||
| overlap = sorted(conf_terms & track_tokens.get(track_id, set())) | ||
| if overlap: | ||
| matched_tracks.append( | ||
| { | ||
| "track_id": track_id, | ||
| "track_name": str(track.get("name") or ""), | ||
| "matched_keywords": overlap, | ||
| "matched_terms": overlap, | ||
| } | ||
| ) |
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There are a couple of issues here:
- The
conf_keywordsvariable is calculated on lines 355-357 but is not used anywhere. It can be removed. - The response dictionary on lines 368-373 includes both
matched_keywordsandmatched_termswith the same value (overlap). This is redundant. Since the frontend is being updated to prefermatched_terms, consider removing thematched_keywordsfield to keep the API clean. This would be a breaking change, but since this is a feature PR, it might be acceptable.
conf_terms = _collect_conference_deadline_terms(item)
matched_tracks: List[Dict[str, Any]] = []
for track in tracks:
track_id = int(track.get("id") or 0)
if track_id <= 0:
continue
overlap = sorted(conf_terms & track_tokens.get(track_id, set()))
if overlap:
matched_tracks.append(
{
"track_id": track_id,
"track_name": str(track.get("name") or ""),
"matched_terms": overlap,
}
)
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| function getGreeting(): string { | ||
| const hour = new Date().getHours() | ||
| if (hour < 12) return "早上好" | ||
| if (hour < 18) return "下午好" | ||
| return "晚上好" | ||
| } |
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This function, and many others in this file, contain hardcoded UI strings (e.g., "早上好"). This makes the application difficult to maintain and internationalize. It's a best practice to extract UI strings into a dedicated localization system (e.g., using a library like next-intl or react-i18next). This comment applies to the entire file.
| <TonePill tone={getLaneTone(nowItems)}>{nowItems.length} 项</TonePill> | ||
| </div> | ||
| <div className="mt-3 space-y-2"> | ||
| {nowItems.map((item, index) => renderLaneItem(item, `now-${index}`))} |
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Using the index as a key for list items (now-${index}) is an anti-pattern in React, especially for lists that can be re-ordered or have items added/removed. This can lead to performance issues and bugs with component state. The title property of LaneItemData seems to be unique enough to be used as a stable key. The same issue exists on line 724 for laterItems.
Suggested change
| {nowItems.map((item, index) => renderLaneItem(item, `now-${index}`))} | |
| {nowItems.map((item) => renderLaneItem(item, `now-${item.title}`))} |
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| {queryItems.map((query, index) => ( | ||
| <div key={`${index}-${query}`} className="flex items-center gap-2 rounded-2xl border border-slate-200 bg-slate-50/80 px-3 py-2"> | ||
| <span className="flex size-7 shrink-0 items-center justify-center rounded-full bg-indigo-50 text-xs font-semibold text-indigo-600"> | ||
| {index + 1} | ||
| </span> | ||
| <Input | ||
| value={query} | ||
| onChange={(event) => updateQuery(index, event.target.value)} | ||
| placeholder={compact ? "输入主题、问题或线索" : "Enter a topic, problem, or question"} | ||
| className="h-9 border-none bg-transparent px-0 text-sm shadow-none focus-visible:ring-0" | ||
| /> | ||
| {queryItems.length > 1 ? ( | ||
| <Button | ||
| type="button" | ||
| variant="ghost" | ||
| size="icon" | ||
| className="size-8 shrink-0 rounded-full text-slate-400 hover:bg-white hover:text-rose-600" | ||
| onClick={() => removeQuery(index)} | ||
| > | ||
| <XIcon className="size-4" /> | ||
| </Button> | ||
| ) : null} | ||
| </div> | ||
| ))} | ||
| </div> |
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Using index as part of the key for the list of query inputs is problematic. When a user edits a query, the key ${index}-${query} changes, causing React to unmount and remount the Input component, which leads to loss of focus. A better approach is to use a stable, unique ID for each query item. This can be achieved by changing the queryItems state to hold objects with an ID and a value, e.g., { id: number; value: string }.
You would need to update the useState for queryItems, and the addQuery, removeQuery, and updateQuery functions to handle this new state structure. For example:
const [queryItems, setQueryItems] = useState(() =>
(initialQueries?.length ? initialQueries : DEFAULT_QUERIES).map((q, i) => ({ id: Date.now() + i, value: q }))
);
function addQuery() {
setQueryItems(prev => [...prev, { id: Date.now(), value: "" }]);
}
function updateQuery(id: number, value: string) {
setQueryItems(prev => prev.map(item => item.id === id ? { ...item, value } : item));
}
function removeQuery(id: number) {
setQueryItems(prev => prev.length > 1 ? prev.filter(item => item.id !== id) : prev);
}
// in the render:
{queryItems.map((item) => (
<div key={item.id} ...>
<Input
value={item.value}
onChange={(event) => updateQuery(item.id, event.target.value)}
...
/>
...
</div>
))}This is a more robust way to handle dynamic lists of inputs.
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* fix: validate studio output dirs and add p2c module design docs :wq * feat(PaperToContext): M3 #140 Closes #140 * feat(p2c): implement ContextEngineBridge to inject user context into extraction Related to #157 * activate paper-scope memory read/write path. Raletd to #158 * fix(p2c): address Gemini code review issues from PR. Related to #157 * fix(p2c): address Gemini code review issues. Related to #158 * fix(p2c): sanitize XML tag content to prevent tag-escape prompt injection * feat(memory): add FTS5 full-text search and sqlite-vec hybrid search. Related to #161 * feat(p2c): persist CodeMemory experiences to SQLite. Related to #162 * address Gemini code review issues from PR #224 and #225 * fix(memory): address Gemini code review issues from #153 epic audit P0 fixes: - Replace unbounded daemon threads with ThreadPoolExecutor(max_workers=2) for embedding writes; atexit + close() ensure graceful shutdown so in-flight embeddings are not lost on process exit - Restore apprise>=1.9.0 and feedgen>=1.0.0 removed in epic branch, which would have broken Epic #179 push/RSS features on merge P1 fixes: - _escape_fts: replace double-quote-only escaping with a whitelist regex [A-Za-z0-9_+-] so FTS5 operators (*, NEAR, NOT, ^) cannot alter query semantics; empty queries now short-circuit to [] - _hybrid_merge: skip items with None/invalid id instead of defaulting to id=0, preventing silent score collisions across unrelated records - ReproExperienceStore: add application-level dedup check + UNIQUE constraint (paper_id, pattern_type, content) + IntegrityError fallback to prevent duplicate experiences from accumulating across retries Migration: - 0022_repro_experience_dedup: adds uq_repro_exp_paper_type_content unique constraint to existing repro_code_experience table Tests: 47 unit tests pass (+3 new tests covering the fixes above) * fix: harden repro experience isolation and wire persistence into repro pipeline Add user-scoped isolation for repro_code_experience and enforce dedup semantics with migration 0022_repro_experience_dedup. Inject ReproExperienceStore through ReproAgent/Orchestrator/CodingAgent/GenerationNode and propagate user_id/pack_id in generation, verification, and debugging persistence paths. Update /api/gen-code to accept user_id and extend unit tests for user isolation and persistence behavior. * feat(memory): introduce memory decay mechanism (#163) Add decay-aware scoring that combines relevance (confidence), recency (exponential decay with 90-day half-life), and usage frequency to re-rank search results. New memories default to expires_at = created_at + 365 days. search_memories() now auto-touches usage on hits. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(memory): add cross-track batch search (#164) Add search_memories_batch() that queries multiple scope_ids in a single SQL call, eliminating the N+1 loop in build_context_pack(). Engine now uses this batch method for cross-track memory retrieval. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(context): implement layered context loading (#165) Refactor build_context_pack() into 4 layer methods: - Layer 0: user profile (cached with 5-min TTL, ~200 tokens) - Layer 1: track context — tasks/milestones (~500 tokens) - Layer 2: query-relevant + cross-track memories (~1000 tokens) - Layer 3: paper-scoped memories (on-demand) Return value adds context_layers metadata while remaining fully backward-compatible. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor(memory): align decay with OpenClaw patterns - Use standard ln(2)/halfLifeDays lambda formula (matches OpenClaw temporal-decay.ts:toDecayLambda) - Default half-life lowered to 30 days (was 90, now matches OpenClaw) - Evergreen memories (global scope, preference kind) are immune to recency decay (inspired by OpenClaw isEvergreenMemoryPath) - Add _to_decay_lambda() and _is_evergreen_memory() helpers - Expand tests for lambda math, half-life precision, and evergreen logic Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(context): isolate layer0 cache and touch batch hits (#236) * feat(memory): upgrade batch retrieval with hybrid and MMR options (#237) * feat(context): add embedding fallback chain and token guard config (#238) * fix(memory): bound batch hybrid candidates by scope_ids * docs: update README with macOS python3 tips * docs: update README with more badges * docs: update README with deleting extra badges * feat(search): add offline retrieval benchmark harness Add a deterministic retrieval benchmark fixture, scorer, CLI, docs, and CI smoke gate for PaperSearchService.\n\nCloses #284\nRefs #283 * feat(context): add offline context-engine benchmark Add deterministic fixtures, scoring, CLI, and smoke coverage for layered assembly, token guard, and advisory routing in ContextEngine.\n\nCloses #286\nRefs #283 * feat(memory): add scope isolation acceptance bench Add an offline scope-isolation benchmark for memory retrieval paths, extend the metric collector with cross-user and cross-scope leak rates, and wire the new check into CI.\n\nCloses #285\nRefs #283 * feat(memory): add offline injection robustness detector Add a deterministic prompt-injection pattern detector, labeled offline fixtures, an acceptance benchmark, and CI coverage for Injection Robustness L1.\n\nCloses #287\nRefs #283 * feat(memory): add offline performance benchmark harness Add a deterministic synthetic benchmark for memory search latency baselines across 10k/100k/1M scales, plus docs and smokeable unit coverage.\n\nCloses #288\nRefs #283 * feat: add ROI benchmark for repro memory Closes #289 Refs #283 * docs: add MemoryBench epic completion report Refs #283 * docs: add runtime memory benchmark report Refs #283 * Docs: update README with our new name (#290) * docs: update README with macOS python3 tips * docs: update README with more badges * docs: update README with deleting extra badges * docs: update README with new god name --------- Co-authored-by: 林杰 <linjie@linjiedeMacBook-Air.local> Co-authored-by: 林杰 <linjie@v8d1ef64c.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef43e.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef6c5.dip.tu-dresden.de> * Fix: show friendly error when backend is unreachable (#291) * docs: update README with macOS python3 tips * docs: update README with more badges * docs: update README with deleting extra badges * docs: update README with new god name --------- Co-authored-by: 林杰 <linjie@linjiedeMacBook-Air.local> Co-authored-by: 林杰 <linjie@v8d1ef64c.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef43e.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef6c5.dip.tu-dresden.de> * feat: improve memory ROI and effectiveness benchmarks * fix: avoid importing missing data template in main * fix: stabilize live memory roi benchmark * feat: expand multi-session memory effectiveness benchmark * feat: implement MemoryBench evaluation suite with 4 bench suites Add comprehensive memory module evaluation aligned with LongMemEval (ICLR 2025), LoCoMo (ACL 2024), Mem0, and Letta benchmarks. - Retrieval Bench v2: IR metrics (Recall@5=0.873, MRR@10=0.731, nDCG@10=0.747) with 40 annotated queries across 5 question types and 5 memory dimensions - Scope Isolation + CRUD: zero-leak verification across user x scope matrix, Mem0-aligned CRUD lifecycle (add/update/delete/dedup) - Context Extraction: L0-L3 layer completeness, precision, token budget guard, TrackRouter accuracy (100%), graceful degradation - Injection Robustness L1: offline pattern detection (0% pollution, 0% FP) - Fixture dataset: 45 memories (2 users), 12 injection patterns - Testing documentation with methodology, validity analysis, and results Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * docs: add MemoryBench quantitative results to README Add evaluation results section with metrics from 4 bench suites: - Retrieval quality (Recall@5=0.873, MRR@10=0.731, nDCG@10=0.747) - Scope isolation + CRUD lifecycle (zero leaks, all CRUD pass) - Context extraction (100% precision, 100% router accuracy) - Injection robustness (0% pollution, 0% false positive) Includes LoCoMo question-type breakdown and run instructions. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(AgentSwarm): add Claude/Codex workflow, workspace persistence, and human review UX (#296) * feat(AgentSwarm): add Claude/Codex workflow, workspace persistence, and human review UX - 添加 /api/agent-board 路由和 Swarm Commander/Dispatcher 基础架构 - 将生成的任务文件持久化到已配置的工作区 - 在工作区中为每个任务生成用户审核文档（reviews/<任务>-user-review.md） - 添加代理看板 UI，包含看板、任务详细日志和人工审核操作 - 要求“全部运行”任务设置工作区，并添加 VS Code 打开操作 - 实现 Studio 存储和 SSE 任务的更新/插入/同步行为 - 为路由流程、持久化和超时处理添加单元/功能测试 - 更新 Studio 布局、PostCSS 配置、后端 URL 助手和锁定文件 Closes #197 * (fix)修改AI review问题 * refactor: share research fetch helpers (#295) Co-authored-by: 林杰 <linjie@v8d1ef6c5.dip.tu-dresden.de> * feat: add research/yearCombobox. Realted to #297 * refactor(research): dedupe fetch helpers across Research pages; fix Radix popover import; add @radix-ui/react-popover dep * fix(web): move @radix-ui/react-popover to dependencies * fix(research): keep track list order stable across activation * refactor(research): share stable track merge helper * fix(research): make paper feedback togglable * feat(research): hide 'Open Discovery Workspace' behind feature flag * feat(research): gate track memory button behind feature flag (#333) * feat(research): gate track memory button behind feature flag * fix(research): avoid reactivating already active track * ci(vercel): add auto deploy workflow for dev branch * feat: calm dashboard workspace (#334) * feat: harden search and connector infrastructure (#339) * refactor(infra): unify async request layer for connectors Implements issue #262 by moving Arxiv/OpenAlex/PapersCool connectors onto the shared async transport with retry support, updating async call sites, and adding focused tests. * perf(infra): batch OpenAlex ID lookups Implements issue #267 by replacing per-ID OpenAlex work fetches with batched filter queries and adds focused coverage for the batched path. * refactor(infra): unify Semantic Scholar client stack Implements issue #266 by routing both the shared mixin and the scholar-tracking agent through the same SemanticScholarClient surface, removing the duplicated legacy API client path, and adding focused unification tests. * feat(infra): harden SSE transport handling Implements issue #263 by moving heartbeat, timeout, cancellation cleanup, and X-Accel-Buffering handling into the shared SSE wrapper and switching the streaming routes onto the common response helper with regression coverage. * fix(infra): bound ARQ jobs and reuse event log Implements issue #268 by adding timeout/max_tries metadata to worker functions, reusing the SqlAlchemyEventLog singleton inside the worker module, and covering both behaviors with focused tests. * feat(search): add three-tier paper deduplicator (DOI/arxiv_id/rapidfuzz) Replaces the identity-key-only dedup in PaperSearchService._fuse_with_rrf() with a dedicated PaperDeduplicator that matches across DOI, arxiv_id (version- stripped), and fuzzy title similarity via rapidfuzz. Merged papers accumulate the best metadata (highest citations, longest abstract, union of identities). Closes #317 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(search): prevent conflicting identity dedup merges Refs #317 * fix(embeddings): add CJK character support to hash embedding tokenizer Extends HashEmbeddingProvider regex to include CJK Unified Ideographs (U+4E00–U+9FFF) and Extension A (U+3400–U+4DBF), enabling proper embedding of Chinese text. Closes #276 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(embeddings): extend hash tokenizer beyond Han-only CJK Refs #276 --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> * fix(research): restore feedback track ux on current dev (#341) * refactor(research): dedupe fetch helpers across Research pages; fix Radix popover import; add @radix-ui/react-popover dep * fix(web): preserve item order in research tracks selection Closes #304 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor(web): remove unused components Closes #305 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(web): keep active research track visible Refs #304 * fix(research): align paper feedback toggles with persisted state Refs #324 * fix(web): add missing @radix-ui/react-popover dependency Research page crashed with "Module not found: Can't resolve '@radix-ui/react-popover'" because SearchBox.tsx imports popover.tsx which depends on this package. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(research): restore feedback track ux on current dev --------- Co-authored-by: 林杰 <linjie@v8d1ef6a5.dip.tu-dresden.de> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> * fix(web): resolve DeepCode Studio page issues * fix(repro): improve memory and workflow correctness * feat: add intelligence radar backend * fix(api): block cross-user intelligence feed access * fix(intelligence): avoid thread-unsafe refresh races * refactor: enforce alembic-only store initialization * fix(db): bootstrap sqlite schemas for lazy stores * fix(stores): align ports with store interfaces * fix(stores): align remaining port contracts * fix(api): harden request boundaries and settings handling * fix(api): stop trusting spoofable forwarded hosts * fix(api): gate studio code execution by default * fix(api): stream request-size checks safely * feat(export): add Obsidian filesystem exporter * feat(cli): add Obsidian export command * feat(obsidian): finish configurable vault export workflow (#348) * refactor(web): move workflow workbench out of dashboard * ci(vercel): use --preview flag for dev deploy * fix(ci): remove invalid Vercel preview flag * fix(ci): keep Vercel secrets free of inline comments * refactor: share candidate search boundary and simplify dashboard * refactor(api): split paperscool search curate and ingest * refactor(web): flatten dashboard brief snapshot * refactor(web): reduce dashboard brief visual noise * refactor(web): feature top dashboard signals * fix(obsidian): harden export follow-ups * fix(obsidian): tighten review follow-ups * feat(web): add Obsidian handoff to Research workspace (#352) * feat(web): add Obsidian handoff to Research workspace * fix(web): address obsidian workspace review feedback * feat: ship track-centric research context stack (#356) * feat(api): add track context read model service * feat(api): expose consolidated track context endpoint * refactor(web): migrate research page to track context endpoint * refactor(memory): wrap track-scoped memory access * chore: document track-centric research model and stabilize tests * docs: refresh readme screenshots * fix(deps): align package manifests with runtime imports * docs: refresh email push screenshot * feat(research): close citation graph and obsidian export gaps (#360) * feat(obsidian): add bidirectional vault sync * fix(paper): improve saved papers table layout * feat(openclaw): add paperbot plugin bridge * fix(obsidian): address sync review feedback * feat(web): flatten dashboard action bands * refactor(web): condense dashboard next-up panel * refactor(web): simplify dashboard around recommendations * refactor(web): simplify dashboard surface and workflow copy * feat(web): add dashboard queue actions * fix(web): harden dashboard queue links and brief parsing * fix(paper): unify unsave with feedback API * fix(paper): scope saved papers per track * fix: unblock dashboard build and e2e * ci: add vercel pr preview automation * fix: repair vercel preview workflow setup * fix: run vercel build from repo root * fix: skip preview smoke without bypass secret * feat(auth): add multi-user authentication foundation. Related to #151 - Add User domain model and SQLAlchemy UserModel with soft-delete support - Add SqlAlchemyUserStore with email/GitHub user CRUD, password auth, reset tokens - Add JWT signing/verification (python-jose), bcrypt password hashing - Add FastAPI auth dependencies: get_user_id (optional fallback) and get_current_user (strict) - Add /api/auth routes: register, login, github/exchange, me, forgot/reset-password - Add Alembic migrations for users and password_reset_tokens tables - Add AUTH_OPTIONAL env var for gradual migration from legacy 'default' user - Fix account lifecycle bugs: reactivate on OAuth re-login, reject inactive on password login - Add auth API tests * fix(auth): address code review feedback on PR #365 * feat(document): add explicit evidence indexing pipeline * docs(benchmark): define document evidence eval contract * feat(benchmark): add document evidence eval scaffold * fix(api): restore py39 auth compatibility after dev rebase * chore(logging): surface cleanup and FTS5 failures * fix(paper): refine saved filters and cleanup code * fix(paper): refine paper context cleanup and year filter * feat(eval): support dedicated embedding benchmark providers * feat(settings): add embedding endpoint configuration * refactor(settings): align embedding endpoint ux with cc-switch * refactor(settings): simplify embedding endpoint panel * refactor(settings): tighten embedding layout on wide screens * feat(studio): refine paper gallery icon animation and context workspace layout * ci: disable native vercel git deploys * docs: restore master demo gallery assets * fix: unblock ci for merge-dev-into-master * fix: address codeql alerts * fix: harden agent board workspace path validation --------- Co-authored-by: boyu <oor2020@163.com> Co-authored-by: WenjingWang <jingnvx@outlook.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: 林杰 <linjie@linjiedeMacBook-Air.local> Co-authored-by: 林杰 <linjie@v8d1ef64c.dip.tu-dresden.de> Co-authored-by: Linjie-top <linjie666z@gmail.com> Co-authored-by: 林杰 <linjie@v8d1ef43e.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef6c5.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef6a5.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef4ea.dip.tu-dresden.de> Co-authored-by: 林杰 <linjie@v8d1ef41f.dip.tu-dresden.de>
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Validation