practice UI round — top bars + sidebar reopen, one-attempt per-problem submit with instant reveal, score-only grading (owner 2026-09-29)
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@@ -34,10 +34,12 @@
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* background failure paths settle the persisted record (never an
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* unhandled rejection); aborts mark "Aborted".
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*
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* GRADING FAILURE DISCIPLINE: an aborted or failed grade leaves the
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* answer in place, the grade absent — the problem is re-submittable
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* later (a new grading job). A second submitAnswers while grading is in
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* flight is rejected (single live grading run per set).
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* ONE ATTEMPT PER PROBLEM (owner ruling 2026-09-29): a problem accepts
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* a single submission — once `answer` is set the problem is done, the
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* route refuses re-submission. Grades are per-problem: submitting
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* another problem while one grades is fine (the shared LLM pool bounds
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* parallelism); only the SAME problem's live grade row blocks (which
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* the one-attempt rule already prevents client-side).
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*/
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import type { GraphStore, PracticeStore } from "../../core/ports.ts";
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@@ -476,8 +478,10 @@ export function createPracticePipeline(deps: PracticePipelineDeps) {
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answers: Array<{ problemId: string; text: string }>,
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): Promise<{ set: ProblemSet; done: Promise<void> }> {
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agents.refuseIfStagesUnready(); // grading needs its engine — refuse BEFORE saving answers
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for (const key of practiceRuns().keys()) {
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if (key.startsWith(`${setId}:grade:`)) throw new BadAnswersError("a grading run is already in flight for this set");
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for (const a of answers) {
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if (practiceRuns().has(`${setId}:grade:${(a as { problemId?: unknown }).problemId}`)) {
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throw new BadAnswersError("this problem's grade is already in flight");
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}
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}
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const set = await withSetLock(setId, () => {
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const cur = deps.practiceStore.getSet(setId);
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@@ -488,7 +492,9 @@ export function createPracticePipeline(deps: PracticePipelineDeps) {
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if (typeof a.problemId !== "string" || !ids.has(a.problemId)) throw new BadAnswersError(`unknown problem id`);
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if (typeof a.text !== "string" || a.text.trim() === "") throw new BadAnswersError("answers must be non-empty text");
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const p = cur.problems.find((q) => q.id === a.problemId)!;
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if (p.grade) throw new BadAnswersError(`problem ${a.problemId} is already graded`);
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// ONE attempt (owner 2026-09-29): an existing answer ends the
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// problem — graded or not, it is never re-submitted.
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if (p.answer !== undefined) throw new BadAnswersError(`problem ${a.problemId} was already answered`);
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}
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for (const a of answers) {
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const p = cur.problems.find((q) => q.id === a.problemId)!;
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@@ -550,12 +556,13 @@ export function createPracticePipeline(deps: PracticePipelineDeps) {
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if (!cur) return;
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const p = cur.problems.find((q) => q.id === problemId);
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if (!p || p.grade) return;
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p.grade = { verdict: graded.verdict, feedback: graded.feedback, gradedAt: new Date().toISOString() };
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p.grade = { score: graded.score, reasoning: graded.reasoning, gradedAt: new Date().toISOString() };
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deps.practiceStore.saveSet(cur);
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});
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});
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} catch (err) {
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// Grading failure: the grade simply stays absent (re-submittable).
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// Grading failure: the grade simply stays absent (the answer
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// stands — one attempt; the UI shows "grade interrupted").
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console.error(`[practice] grading failed for ${problemId}:`, isAbortLike(err) ? "aborted" : messageOf(err));
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} finally {
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practiceRuns().delete(row.key);
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@@ -211,7 +211,7 @@ PARTITION DOCTRINE:
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OUTPUT — your entire deliverable is ONE submit_partition call: "partitions", a list of { chains: [ids] }, one entry per problem, together containing every input chain exactly once. No empty entries; no unknown ids; no problem without a real target relationship.`;
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export const GRADER_INSTRUCTIONS = `You are the grading stage of a learning application's practice system. One practice problem — built to strengthen the learner's recall of specific propositions — has been answered. Your job is FEEDBACK ONLY: verdict + what actually mattered. You are not assessing a person; you are coaching a recall.
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export const GRADER_INSTRUCTIONS = `You are the grading stage of a learning application's practice system. One practice problem — built to strengthen the learner's recall of specific propositions — has been answered. Your job is small and fast: an integer score and a one-or-two-sentence justification. You are not assessing a person; you are scoring a recall.
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You receive: the problem's statement; its pre-written MODEL SOLUTION and GRADING RUBRIC (committed before the learner ever saw the problem — they are the reference, not you); the propositions (names + statements) the problem was built to exercise; and the learner's ANSWER — often dictated thinking-out-loud prose. Extract the reasoning from the prose; grade the substance, never the form. Do not demand the solution's exact wording — the rubric names what actually matters; nothing else is graded.
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@@ -219,18 +219,14 @@ JUDGE AGAINST THE REFERENCE:
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- Work the rubric points: which are met, which are missed, which are half-met in the answer's own terms.
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- Where the answer diverges from the model solution, ask whether the divergence is a different-but-valid route (the rubric decides) or a wrong turn.
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NAME THE FAILED RECALL: when something is missed, identify WHICH proposition failed to come to mind — or came to mind in a wrong or incomplete form. That is the actionable diagnosis; say it plainly.
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THE SCORE (one integer, 0–10):
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- 9–10: the targeted recall(s) happened — the answer meets the rubric's essentials. Peripheral gaps do not lower it.
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- 5–8: some of the target came to mind; the answer is materially incomplete or partly wrong.
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- 0–4: the targeted proposition(s) did not come to mind — the answer is empty or on the wrong track.
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TEACH THE BOUNDARY: feedback should locate the boundary — what would have made the answer right, where the wrong path breaks and why. Not "incorrect"; the reason it is incorrect, in one or two tight paragraphs.
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The reasoning is plain prose, one or two sentences: which rubric points were met or missed and, when something failed, WHICH proposition failed to come to mind. Mathematics is LaTeX — inline as \\(…\\), display as \\[…\\] (a bare $ is literal currency); no headers, no lists — minimal is the standard.
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THE VERDICT (exactly one):
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- "solid": the targeted recall(s) happened — the answer meets the rubric's essentials. Peripheral gaps do not lower it.
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- "partial": some of the target came to mind; the answer is materially incomplete or partly wrong.
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- "missed": the targeted proposition(s) did not come to mind — the answer is empty or on the wrong track.
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Feedback renders as full Markdown. Mathematics is always LaTeX — inline as \\(…\\), display as \\[…\\] on its own lines (a bare $ is literal currency). Inside math, LaTeX commands for symbols, not unicode stand-ins. Code in fenced blocks with a language tag, identifiers inline as \`code\`. Lists and tables wherever they carry structure; no headers — feedback is short-form, structure it with paragraphs and bold labels. Name the failed recall and teach the boundary in properly formatted prose, not plain text.
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OUTPUT — your entire deliverable is ONE submit_grade call: "verdict" and "feedback" (non-empty; the boundary-teaching text above).`;
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OUTPUT — your entire deliverable is ONE submit_grade call: "score" (integer 0–10) and "reasoning" (non-empty, brief).`;
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// ─── schemas + fills ─────────────────────────────────────────────────────────
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@@ -250,8 +246,8 @@ const problemSchema = Type.Object({
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type ProblemSubmit = Static<typeof problemSchema>;
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const gradeSchema = Type.Object({
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verdict: Type.Union([Type.Literal("solid"), Type.Literal("partial"), Type.Literal("missed")]),
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feedback: Type.String({ minLength: 1 }),
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score: Type.Integer({ minimum: 0, maximum: 10 }),
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reasoning: Type.String({ minLength: 1 }),
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});
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type GradeSubmit = Static<typeof gradeSchema>;
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@@ -364,8 +360,8 @@ export interface GraderInput {
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signal?: AbortSignal;
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}
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export interface GraderOutput {
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verdict: "solid" | "partial" | "missed";
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feedback: string;
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score: number;
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reasoning: string;
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log: PracticeStepLog;
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}
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@@ -499,7 +495,7 @@ export function createPracticeAgents(deps: PracticeModels) {
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const grade = await runSubmitAgent({
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role: "grader",
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toolName: "submit_grade",
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toolDescription: "Submit the grade: verdict (solid | partial | missed) and non-empty feedback.",
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toolDescription: "Submit the grade: an integer score 0-10 and brief non-empty reasoning.",
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parameters: gradeSchema,
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fill: (raw) => raw,
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systemPrompt: GRADER_INSTRUCTIONS,
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@@ -509,7 +505,7 @@ export function createPracticeAgents(deps: PracticeModels) {
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onStep: stepLogger(log),
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neverSubmitted: "the grader never submitted a grade",
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});
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return { verdict: grade.verdict, feedback: grade.feedback, log };
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return { score: grade.score, reasoning: grade.reasoning, log };
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}
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return { refuseIfStagesUnready, runPartitioner, runProblemGenerator, runGrader };
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