Exercises: WIP Enable Variants Generation with AI - #13533
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Create the complete file skeleton for the AI exercise-variant generation feature per the implementation plan — no business logic yet; every stub carries detailed TODO instructions tied to plan section numbers for downstream implementation. Backend (hyperion/service/variants): - VariantJobPhase state machine, VariantJob Hazelcast record, ChangePlan, VerificationReport, StepOutput - five capability interfaces + VariantTypeAdapters bundle and VariantTypeRegistry (ports & adapters per exercise type) - ExerciseVariantGenerationPipeline, VariantAgentLoopRunner, ExerciseVariantJobService, ExerciseVariantTaskService - ProgrammingVariantAdapters / QuizVariantAdapters stubs - HyperionBuildVerificationService extraction seed - HyperionExerciseVariantResource + request/job/event DTOs - prompt template stubs under prompts/hyperion/variants/ Client: - ExerciseVariantGenerationService (REST + signal tray state) - variant-generation-tray navbar component stub - TODO annotations in the existing wizard, modal utils, exercise-actions template (unbound variantAdded) and navbar Tests: server integration/unit stubs, Vitest spec stubs, and a skipped Playwright ExerciseVariantGeneration spec. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Server: - Add DISTINCT to the variant-group fetch-join queries - Reject negative maxPoints (@PositiveOrZero) in the group DTOs - Reject assigning exam exercises to a variant group - Relax group date validation to match Exercise.validateDates() for the not-included example-solution-before-due case - Add the shared timeline to ExerciseVariantGroupReferenceDTO and convert the nested group dates on the client so the group-timeline lock dialog no longer saves back null dates and wipes the shared timeline - Route programming-exercise group-timeline changes through ProgrammingExerciseCreationUpdateService.updateTimeline so build/test dates are recomputed and scheduled operations are refreshed Client: - Gate group loading and the title-bar create/import/export actions behind editor rights, and add per-row edit/delete permission checks (fixes the tutor 403 on the exercise management page) - Preserve an exercise's own dates when removing it from a group - Let bulk delete settle every request instead of aborting on the first failure Add regression tests for exam-exercise rejection, negative maxPoints, and example-solution-before-due. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Implemented in this iteration: the complete type-agnostic backend backbone for AI variant generation. ExerciseVariantJobService is now a real Hazelcast-backed store (24h-TTL job map + separate short-TTL per-exercise dedup lock, single-writer mutation API that publishes the matching websocket event for every state change, cooperative cancellation flag). ExerciseVariantGenerationPipeline drives the full phase state machine: ANALYZING -> PLANNING (structured ChangePlan via BeanOutputConverter with 2 re-prompts on malformed output) -> PROVISIONING -> bounded TRANSFORMING/VERIFYING/REPAIRING loop -> FINALIZING, with cancel checks at every phase boundary, clone cleanup via ExerciseDeletionService on failure/cancel, and DRAFT_WITH_WARNINGS on budget exhaustion. VariantAgentLoopRunner executes one Spring AI tool-calling round per verify cycle, injecting the previous VerificationReport as the repair signal. The REST resource, DTO factories, phase helpers, and VariantTypeRegistry (fail-fast duplicate check) are fully wired, so a job is drivable end-to-end once adapters exist. Per review feedback, existing Hyperion codegen code was NOT refactored: the planned waitForBuildResult extraction became the standalone VariantBuildVerificationService (mirrors the target-result semantics in variants-owned code). Next steps: implement ProgrammingVariantAdapters (provisioner over ProgrammingExerciseImportService with short-name suffix retry, repo toolset with applyEdit/runBuild over VariantBuildVerificationService, build gates + consistency check) and QuizVariantAdapters (renderer, import-service provisioner, updateQuestion toolset, isValid gates); token accounting via LLMTokenUsageService and touchedTestRepo signalling in the agent loop; finalizer placement logic (variant groups + SAME_EXAM_GROUP); then client wiring (OpenAPI regeneration, wizard websocket subscription, navbar tray) and the integration tests scaffolded in ExerciseVariantGenerationIntegrationTest. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Implemented in this session: the full programming-exercise adapter bundle for AI variant generation (plan Section 3). renderContext delegates to the Hyperion context renderer on a participation-eager reload. provision builds a variant skeleton from the eagerly loaded source (same field set as the ExamImportService precedent, title + problem statement from the ChangePlan, difficulty from the request, exam variants placed into the source's exam exercise group) and clones it via ProgrammingExerciseImportService, with deterministic short-name derivation from the planner title and suffix retry (-V2...) over preCheckProjectExistsOnVCSOrCI. createTools builds the per-round stateful ProgrammingVariantTools toolset (listFiles, readFile, applyEdit with unique-match enforcement, writeFile with the codegen path whitelist, updateProblemStatement incl. task re-extraction, runBuild = commit+push+trigger+wait, getBuildAndTestResults, finish; every tool checks the cooperative cancel flag and returns validation errors to the model). verify re-triggers fresh solution (must pass 100%) and template (must fail with tests) builds using a new freshness-bounded waitForBuildResult overload so test-repo edits can never reuse stale green results, then runs the consistency-check semantic gate; findings are structured per gate with a distinct TIMED_OUT detail. Placement logic was extracted out of ExerciseVariantGroupResource into ExerciseVariantGroupService (create group, assign with shared-timeline semantics) and reused by the new VariantPlacementService finalizer (EXISTING_GROUP / NEW_GROUP / STANDALONE / SAME_EXAM_GROUP no-op). NOT yet compiled or tested — the session hit its token budget before ./gradlew compileJava could run. Next steps: compile (verify UserRepository.getUserWithGroupsAndAuthorities(login), MethodToolCallbackProvider array-vs-list return, repository method names) and run spotlessApply; implement QuizVariantAdapters (renderer, QuizExerciseImportService provisioner, updateQuestion toolset with GeneratedQuizQuestionDTO schema validation, isValid()/file gates + self-critique); wire touchedTestRepo + token accounting (LLMTokenUsageService) through VariantAgentLoopRunner; then client wiring (OpenAPI regeneration, wizard websocket subscription, navbar tray) and the scaffolded integration tests. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Fixes from reviewing bec47c9 (now compiles clean, zero warnings): - Restore applyGroupTimeline in ExerciseVariantGroupService — the method body was lost in the resource-to-service extraction, breaking compilation. - Keep the variant on FINALIZING failures: the pipeline no longer routes finalize exceptions through the hard-failure cleanup (which deleted the verified variant); a placement failure now downgrades the job to DRAFT_WITH_WARNINGS with a manual-assignment hint, matching the plan's "never throw away LLM work from FINALIZING on". - Enforce the write whitelist in applyEdit: edits now go through the same normalizeWritablePath check as writeFile, so the agent cannot modify build/config files (pom.xml, build.gradle, CI config) or hidden paths via search-and-replace. - Pass a freshness bound from runBuild: the tool now records the trigger instant and uses the notBefore overload of waitForBuildResult, so rebuilding an unchanged solution/template commit after a test-repo edit can no longer return the stale pre-change result to the agent. - Replace the deprecated toolCallbacks(...) call with the unified Spring AI 2.0 tools(Object...) API. Next steps unchanged from bec47c9: QuizVariantAdapters, thread touchedTestRepo/finishSummary + token accounting through the agent loop, client wiring, integration tests. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…lset - Cancellation now short-circuits tool rounds: Spring AI returns tool exceptions to the model as ordinary results, so the previous throwing checkCancelled could never abort a round. Each tool now returns an explicit stop instruction once the cancel flag is set, converging the round quickly; the pipeline still performs the actual abort and cleanup at the next round boundary. - Thread per-round toolset state through the loop: new VariantToolset interface (toolCallbacks / finishSummary / touchedTestRepo) returned by VariantToolsetFactory. ProgrammingVariantTools implements it, the agent loop runner now reports the agent's real finish summary and the touched-test-repo flag in AgentResult, and the pipeline surfaces "(test repository changed)" in the round's step output. - NEW_GROUP placement honors the full wizard form: the placement DTO reuses CreateExerciseVariantGroupDTO (title, maxPoints, shared timeline dates) instead of a title-only payload, and the placement service delegates to its toEntity() mapping — identical semantics to the group-creation endpoint. Compiles clean (zero warnings). Remaining from the plan: quiz adapters, token accounting, client wiring, integration tests. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Quiz adapter bundle (plan Section 4): renderContext serializes the quiz in the editor's own polymorphic JSON format (questions, options, mappings, scoring types; images referenced by path only). provision deep-copies the source via QuizExerciseImportService on the same eager graph the REST import path uses, with title/difficulty/description overridden from the ChangePlan. QuizVariantTools implements the agent toolset: getQuestions (editor JSON), updateQuestion (deserializes into the domain model as the schema check, enforces same question type, preserves the question id, rejects any DnD image-path change per the images non-goal, validates before saving), validateQuiz (per-question isValid report — the same signal the verifier gates on), finish. verify runs the deterministic gates: per-question and quiz-level isValid plus validateQuizExerciseFiles for DnD file references; the LLM self-critique pass remains a TODO. Finalizing reuses the shared VariantPlacementService. Token accounting (plan Sections 2.5 and 7): the agent loop and the planning call now read ChatResponse metadata, persist usage via LLMTokenUsageService (pipeline ids exercise-variant-transform / exercise-variant-plan, attributed to exercise and initiating user), and accumulate totals on the Hazelcast job record. The pipeline enforces the token budget across repair rounds: when exhausted with red gates it stops repairing and the job ends as DRAFT_WITH_WARNINGS with a TOKEN_BUDGET finding. Round metadata reflects the final call of Spring AI's internal tool loop — a documented lower bound. Compiles clean. Remaining: client wiring (OpenAPI regeneration, wizard websocket subscription, navbar tray) and the scaffolded server/client tests. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
… gate Implemented in this chunk: - Wizard rework: the modal now drives the real backend job — POST via the generated OpenAPI client, per-job websocket events feed a step timeline derived from VariantJobPhase (REPAIRING renders as a repeat visit on the VERIFYING step with the attempt counter), expandable step-output panels, DONE fetches the created exercise, FAILED/CANCELLED result states, explicit cancel behind a confirmation (close != cancel), resume via the active endpoint, and a monitorJobId input for tray-triggered monitor mode. - variantAdded now bubbles wizard -> exercise-actions -> exercise-table -> course-management-exercises, which reloads the course exercise view; the navbar tray hosts its own wizard instance in monitor mode. - failedInPhase end-to-end: VariantJob record + fail(), VariantJobDTO, spec, generated model, tray "Failed (phase)" label, wizard failure panel. - Fixed the generated-client break: springdoc pushed the @nullable on VariantPlacementDTO.newGroup into the shared CreateExerciseVariantGroup schema (type: 'null'); the annotation is removed and the spec corrected. - All five LLM prompt templates written (plan/transform for programming and quiz, quiz critique); quiz verify() now runs the LLM self-critique soft gate after the deterministic gates pass. - Tests: Vitest specs for the generation service and the tray; unit tests for VariantTypeRegistry and ChangePlan JSON round-trip. - openapi.yaml deliberately contains only HEAD + the variant endpoints: a full regeneration currently breaks unrelated generated clients (tutorial-group dual legacy/plural mappings from #12096 produce duplicate method names; TutorialGroupSummary date types regress) — kept out of this branch on purpose. Next steps: - ExerciseVariantGenerationIntegrationTest (pipeline phases, cancellation, collision retry, scripted agent loops, REST scoping, exam placement). - Playwright ExerciseVariantGeneration.spec.ts. - Track critique-pass token usage; live step-output detail in events. - Wire the "existing group" placement option once course context is available in the wizard (sourceGroup TODO). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Fixes found by reproducing the failed manual quiz test end-to-end
(LM Studio, three simultaneous jobs on one exercise):
- Allow multiple simultaneous jobs per exercise: remove the
per-exercise dedup lock (409 "already queued"), the now-ambiguous
active/resume endpoint, and the wizard auto-resume that would have
blocked starting a second variant. Each POST creates an independent
job; the tray is the monitoring entry point.
- Run jobs on a dedicated hyperionVariantTaskExecutor: the shared
taskExecutor pool (core-size 2, queue 10000) never grows past two
threads, so multi-minute variant jobs would serialize and starve
every other async task.
- Impersonate the initiating instructor in runJobAsync: the async
thread has no SecurityContext and quiz provisioning failed with
"No current user login found" (exercise channel creation).
- Fix agent quiz edits corrupting the question list: the deserialized
question carried null child-owned FKs (@JsonIgnore back-references)
and a null statistic, orphaning the row and leaving a null gap in
the @OrderColumn list (NPE in VERIFYING). updateQuestion now loads
with statistics, carries the statistic over, and reconnects the
replaced question's back-references; verify() reports gaps as
findings instead of throwing.
- Stop endless agent loops (observed: 100-message conversations):
per-round tool-call budget (25 quiz / 60 programming) after which
every tool demands finish, finish is returnDirect so the round ends
immediately, efficiency instructions in the round prompts, and
updateQuestion's index is boxed so a missing argument becomes a
model-visible error instead of crashing the round.
- Navbar tray: sync the job list on authentication changes instead of
one ngOnInit load that ran before login and hid the tray forever;
clear it on logout. Failed jobs stay listed with their phase.
- Vitest: add the missing setupTestBed({ zoneless: true }) to the
variant specs (every test in them failed silently); cover parallel
jobs and the auth-driven tray sync. Full client suite green.
Verified manually: two parallel quiz jobs finished as COMPLETED
("Paris - France") and DRAFT_WITH_WARNINGS with a useful critique
finding; question lists intact, no orphaned rows.
Next steps:
- Programming variants have never run against real CI: exercise the
runBuild/build-verification/collision-retry path end-to-end.
- Implement ExerciseVariantGenerationIntegrationTest (still a stub);
mocked-ChatClient pipeline tests would have caught the security-
context and statistics bugs.
- Playwright ExerciseVariantGeneration.spec.ts.
- Wizard: wire the "existing group" placement (sourceGroup TODO);
track critique-pass token usage.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
- Mark fire-and-forget router navigations with void to satisfy no-floating-promises (sidebar accordion, exercise add modal) - Disable the exercise-table title link for unsaved exercises instead of building a route ending in undefined - Fall back to the object reference in rowTrackBy for quizzes without an id, matching the non-quiz branch - Align the example-solution-publication-date test with the group-level validation rule and add a release-date ordering regression test - Make the variant group title non-null end-to-end: entity column and setter plus NOT NULL constraint in the branch-local changelog Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…cises component Reduce the complexity of course-management-exercises.component.ts (875 -> 599 lines) flagged by Codacy: - move all view/bucket building into a pure exercise-buckets module with its own unit tests - move variant-group / quiz state merging into a dedicated ExerciseGroupSyncService - add toCreateGroupPayload/toUpdateGroupPayload mappers to the variant group service instead of inline payload literals Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Rename the view-model for the exercise page's collapsible panels from Bucket to CourseExerciseCard, paralleling CourseExerciseGroup (the old CourseExerciseCardComponent was removed by this branch, so the name is free). Renames exercise-buckets.ts to course-exercise-cards.ts and the artemisApp.exerciseManagement.bucket.* translation keys to card.*. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Tray (navbar):
- Move the job tray to the right-side navbar icon menu; icon-only
button with a notification-style status badge (spinner while
running, checkmark when all succeeded, warning when any job failed
or was kept as a draft with warnings) — no count badge.
- Replace the misleading per-entry progress bar with a step-dot
timeline over the pipeline phases.
- Card click always opens the monitor modal (no direct edit
navigation, no separate summary button); navigation happens via the
modal's "Open in Editor" only. The popover closes when the modal
opens.
- Cancel is a rounded outlined PrimeNG button.
Generation modal:
- Lift dialog AND tray popover above the sticky navbar/breadcrumbs
(baseZIndex 2000; PrimeNG's overlay default of ~1000 is below the
navbar's 1030 — verified live in Chrome).
- Monitor mode hides the 5-step wizard chrome and uses a job-centric
translated header.
- "source → variant" flow card on the generating/result steps: the
planned variant title is recorded on the job at PLANNING
(variantExerciseTitle) so it appears mid-run.
- "What is being adapted" chips (difficulty/domain/custom); the
original request is now exposed on the job-detail endpoint.
- Step logs span the full modal width, expanded logs are capped and
scrollable; the expand arrow only renders once the full detail is
available (STEP_OUTPUT events now trigger a job-detail fetch — the
event itself only carries the summary).
- Failed jobs get an AI-generated instructor post-mortem ("what
happened & how to continue"): one best-effort LLM call
(failure_summary.st, pipeline id exercise-variant-failure-summary)
grounded in the failed phase, failure detail, change plan, and step
outputs, generated BEFORE the FAILED transition so the client's
detail fetch already sees it. Static guidance remains the fallback.
- Persist failureDetail on the job record (previously only in the
transient FAILED websocket event); fail() clears variantExerciseId
since the hard-failure cleanup deletes the clone.
- Wire the "existing group" placement: the wizard loads the source
exercise's variant group on open and offers EXISTING_GROUP.
Fixes found in manual testing:
- CreateExerciseVariantGroupDTO was not Serializable — NEW_GROUP
placement failed at jobMap.put() (whole VariantJob graph must be
Serializable for Hazelcast).
- Quiz group placement always failed for synchronized sources
("Only individual-mode quizzes can be added to an exercise group"):
provisioning now switches the clone to INDIVIDUAL mode and drops
the copied batches when the placement targets a group.
Vitest: tray specs rewritten for the new behavior (note: p-popover
content renders lazily — entry policies are asserted via component
methods).
Next steps:
- Programming variants have never run against real CI: exercise the
runBuild/build-verification/collision-retry path end-to-end.
- Implement ExerciseVariantGenerationIntegrationTest (still a stub);
mocked-ChatClient pipeline tests incl. the failure-summary call.
- Playwright ExerciseVariantGeneration.spec.ts.
- Track critique-pass token usage; consider surfacing token totals in
the modal.
- Manually verify the failure post-mortem and the quiz INDIVIDUAL-mode
switch end-to-end against LM Studio (needs server restart).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Implements the ExerciseVariantGenerationIntegrationTest stub (plan Section 10) — 10 tests, all green, run via ./gradlew test --tests ExerciseVariantGenerationIntegrationTest -x webapp: - Happy path end-to-end over REST: mocked ChatModel returns a canned ChangePlan; the scripted answer pulls the ToolCallbacks off the Prompt's ToolCallingChatOptions and drives the REAL quiz tools (getQuestions -> updateQuestion -> finish) against the REAL provisioned variant; asserts COMPLETED, the edit landed in the DB, the source is untouched, step outputs for every phase, token accounting, tray list + job-detail endpoints, and 409 on cancelling a terminal job. - Malformed planner output: 1 initial + 2 re-prompts then FAILED in PLANNING, AI failure post-mortem generated and stored, no clone. - Verification budget exhaustion (critique keeps failing) -> DRAFT_WITH_WARNINGS, variant kept, REPAIRING step outputs, 3 rounds. - Cooperative cancellation mid-TRANSFORMING: honored at the next phase boundary, provisioned clone deleted, job CANCELLED. - REST validation 400s (no intent, SAME_EXAM_GROUP for course exercise, EXISTING_GROUP without id, unsupported exercise type). - Per-user scoping: foreign job detail is 404, foreign jobs absent from the tray list. - Parallel jobs for the same exercise (explicitly no dedup). - Placement: NEW_GROUP creates the variant group containing the variant; exam variant lands in the source's exam exercise group. Testing insight (documented in the class javadoc): with a fully mocked ChatModel, Spring AI's internal tool-execution loop never runs, and the base class's plain-ChatOptions stub silently DROPS tool callbacks (DefaultChatClientUtils only attaches them when options.mutate() yields a ToolCallingChatOptions.Builder). The test re-stubs the model options as ToolCallingChatOptions and invokes the tools from the mock's answer. Production bug found by the happy-path test: getQuestions() (and the ANALYZING context renderer) serialized questions via writeValueAsString(List) — type erasure makes Jackson skip the @JsonTypeInfo discriminator, so the tool's own output lacked exactly the "type" field updateQuestion requires the model to echo back. Every faithful echo of the documented format failed with "missing type id property 'type'". Fixed with declared-type serialization (QuizVariantTools.serializeQuestions, shared by both call sites). Deliberately out of scope here (next steps): - Programming variants against real CI (runBuild / build verification / collision retry end-to-end) — needs real local CI builds; verify manually against LM Studio, then consider an E2E test. - Playwright ExerciseVariantGeneration.spec.ts — still the skipped stub with a TODO (Sonnet) implementation guide in the file header. - Multi-node sanity run (run-e2e-tests-local-multinode-fast.sh) before the PR. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Closes two telemetry follow-ups from the previous commit: - The quiz critique soft gate was the last untracked LLM call: it now reports usage via LLMTokenUsageService (pipeline id exercise-variant-critique) and adds to the job's running token total, same wiring as the planning/transform/failure-summary calls. The VariantVerifier capability signature gains the job for attribution; the interface's stale TODO blocks were removed — all three described gates are implemented (programming builds + consistency check in ProgrammingVariantAdapters.verify, quiz validity + files + critique in QuizVariantAdapters.verify). - The accumulated token total is exposed as VariantJobDTO.totalTokensUsed (null until the first call reports usage) and rendered as a chip in the generation modal's "What the AI did" panel — in live runs and in the tray-opened monitor mode, for successful, draft, and failed jobs alike. The OpenAPI client model was extended by hand exactly as the generator would emit it (variantJob.ts); regenerate the client before the PR. Note on the todo-d item "renaming + applied changes in the job modal": already delivered in the previous commit — the tray-opened monitor modal renders the source -> variant flow card and the adaptation chips from the job-detail endpoint (variantExerciseTitle + original request). Next steps: - Programming variants against real CI (runBuild / build verification / collision retry end-to-end); manual LM Studio verification of the failure post-mortem and the quiz INDIVIDUAL-mode switch. - Playwright ExerciseVariantGeneration.spec.ts (TODO (Sonnet) guide in the spec header). - Regenerate the OpenAPI client (./gradlew generateApiDocs + client generation) to pick up totalTokensUsed officially. - Multi-node sanity run before the PR. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…c from exercises component Reduce the complexity of course-management-exercises.component.ts (875 -> 599 lines) flagged by Codacy: - move all view/bucket building into a pure exercise-buckets module with its own unit tests - move variant-group / quiz state merging into a dedicated ExerciseGroupSyncService - add toCreateGroupPayload/toUpdateGroupPayload mappers to the variant group service instead of inline payload literals - Rename the view-model for the exercise page's collapsible panels from Bucket to CourseExerciseCard, paralleling CourseExerciseGroup (the old CourseExerciseCardComponent was removed by this branch, so the name is free). Renames exercise-buckets.ts to course-exercise-cards.ts and the artemisApp.exerciseManagement.bucket.* translation keys to card.*. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…paths - hide the mass-actions row and selection checkboxes from tutors and gate bulk delete on instructor rights - only offer the build-and-test date in the group edit dialog when the group can contain a programming exercise - make the exercise table's sortable headers keyboard-accessible and announce the sort order via aria-sort - add accessible names to the overflow-actions button and the timeline-lock overlay - handle errors of the outer course load in the quiz export, the group fetch on the exercises page (clearing stale groups), and the group detail problem-statement batch (unblocking retries) - use the courseId parameter consistently in the quiz export and guard the import navigation against a missing course id - drop the global ::ng-deep .mat-drawer-content override; the container does not render a Material drawer, the rule only leaked into the lecture PDF viewer Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…reate and sort undated exercises last instead of first Two review threads were resolved as deliberate behavior; record the reasoning where the next reader needs it: - groups may mix exercise types (variants of one task in different formats); the overall course score caps such a group once across all types, only the per-type breakdown columns on the instructor scores page apply the cap per type bucket - group create persists the group before attaching it to the course without a transaction (service-level @transactional is avoided in this codebase); all validation runs before the first save, so a failure can only leave an empty, course-less group behind - The card sort comparator treated a missing effective due date as epoch 0, so exercises without any due date sorted ahead of every dated one in the list/group/type views, misleadingly presenting them as the most urgent. Push undated exercises to the end instead. (Review thread 3529175511.) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…eview and reset reserved quiz-button width when the group is removed The group detail page summed a student's group points from the newest rated result picked locally (getLatestResultOfStudentParticipation), which could include a post-deadline rated result the course score does not count. Read the server-computed relevant result per participation from ScoresStorageService instead - the same source the course statistics page uses - so the preview matches the official score. (Review thread 3518130644.) Cover CourseExerciseGroupDetailComponent.achievedGroupPoints: it sums the server-provided (ScoresStorageService) result per participation, caps the total at the group maxPoints, ignores unrated results, and ignores participations without a stored result (no local fallback). When a quiz transition removes the quiz lifecycle button group, the width-measuring effect kept the previous reserved width, so the action row's overflow logic computed against stale space. Reset to 0 when the element is gone. (Review thread 3487649042.) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…t' into feature/exercise-variants-support # Conflicts: # src/main/webapp/app/course/manage/exercises/course-exercise-cards.spec.ts # src/main/webapp/app/course/manage/exercises/course-exercise-cards.ts # src/main/webapp/app/course/manage/exercises/course-management-exercises.component.ts
First manual verification of the programming pipeline against real local CI + LM Studio (previous "Next steps" item — the runBuild / build-verification / collision-retry path had never run): - PROVISIONING failed with a LazyInitializationException on Exercise.categories: the import fetch graph (shared with the REST import endpoint, which receives categories in the request payload) does not cover the lazy @ElementCollection, but buildVariantSkeleton reads it on the detached instance. Hydrate categories via the existing findWithTemplateAndSolutionParticipationTeamAssignmentConfig- CategoriesById fetch. - With that fix the pipeline ran end-to-end: provisioning created the variant incl. repos and build plans, the agent loop ran runBuild, real CI builds executed, verification findings (with build logs) fed the repair rounds, and budget exhaustion produced DRAFT_WITH_WARNINGS with the draft kept. A later run also exercised the short-name collision retry (planner reused a similar title -> "-V2" suffix applied after the VCS/CI project pre-check). - Prompt fixes for a failure mode observed live: the planner phrased the problem-statement rewrite as an edit to "problem_statement.md", and the binding plan sent the agent hunting for a file that does not exist in any repository. plan_programming.st now states the problem statement is an exercise field (already fully rewritten in the plan's problemStatement output, never an intendedChange on a file); transform_programming_system.st clarifies updateProblemStatement is the only way to change it and is only needed after test renames. Environment note (not a code issue): local dev runs need ARTEMIS_VERSIONCONTROL_URL="http://localhost:8080" like run-e2e-tests-local-fast.sh sets — the localvc default of localhost:8000 has no listener, so every build-agent clone fails. Next steps: - Repeat the manual run with the fixed prompts to get a fully green COMPLETED programming variant (all gates: solution green, template red); tune the transform prompt if the local model stalls. - Consider truncating build logs in DRAFT_WITH_WARNINGS warnings — the full logs land in the modal's warning list and get very long. - Playwright spec (TODO (Sonnet)), OpenAPI client regeneration, multi-node sanity run. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
…ble sorting from review Addresses follow-up review comments on PR #12974: - Validate base dates for quizzes in variant groups too, instead of skipping validation entirely (Exercise#validateBaseDates()). - Let a group's relaxed example-solution date (>= release only) pass the group-edit modal's timeline check instead of requiring >= due, via a new opt-in orderCheckAgainst on ExerciseTimelineComponent. - Keep undated exercises last when sorting the exercise table by due date, in both directions, matching the fixed card sorter. - Guard owningGroupForExercise against matching two different id-undefined exercises to each other's group. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
# Conflicts: # src/main/webapp/app/course/manage/course-scores/course-scores.ts # src/main/webapp/app/exercise/exercise.component.ts # src/main/webapp/app/shared-ui/date-time-picker/date-time-picker.component.html
updateExerciseVariantGroup() persisted the group before propagating and validating the timeline on member exercises, so a member-invalid timeline returned 400 only after the group dates had already changed. Validate every member's propagated timeline first and persist the group plus member updates only once all members pass. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Both remaining items from the last commit's first two next steps: - Manual verification rerun with the fixed prompts (LM Studio gpt-oss-20b + real local CI): programming domain-change variant of exercise 3 reached COMPLETED on attempt 1/3 (~5 min, ~19.5k tokens). Planner produced a fitting title, the agent updated the problem statement, ran the solution build (13/13 green), and both verification builds hit their targets (solution green, template red). The planner-retry path was also exercised live: the first plan had empty intendedChanges, was rejected by validatePlan, and the re-prompt succeeded. No transform-prompt tuning needed — the model did not stall. Observation (environment, not code): the semantic consistency gate no-opped in this run — LM Studio answered the parallel structural + semantic checker calls with "Channel Error", and HyperionConsistencyCheckService swallows that and returns an empty issue list. Within the documented best-effort design of the gate (an unavailable checker must not fail an otherwise green variant), and the service is shared Hyperion infra we do not modify. With a provider that handles parallel calls the gate is active. - DRAFT_WITH_WARNINGS warning list: build-gate finding messages carry the full build logs (the agent's repair signal, up to ~10k chars) and landed verbatim in the modal's warning list. Warnings are now summarized in the pipeline: cut at the (now shared) BUILD_LOGS_SECTION marker of VariantBuildVerificationService.describeBuildResult, capped at 1500 chars. The complete finding stays inspectable in the VERIFYING step output. Covered in the budget-exhaustion integration test (finding with embedded logs -> warning summarized, step output keeps the logs); all 10 pipeline integration tests green. Next steps: - Playwright spec for the wizard flow (TODO (Sonnet)). - OpenAPI client regeneration (less demanding — Sonnet/Opus). - Multi-node sanity run (run-e2e-tests-local-multinode-fast.sh) before the PR — Hazelcast job map + WS event routing across nodes. - Evaluation protocol (plan Section 7) once feature work settles. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
The new list item copied its neighbour's Bootstrap utilities, which new work must not introduce. `d-flex align-items-center` becomes `flex items-center`; `nav-item` stays, because it is the navbar's structural hook rather than a utility and `navbar.scss` styles `.nav-item` (including `:first-child`, which this item now is). Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01H7gQTV8ayuTqgWgR3eVpdi
The `getFileByName` stub returned a `java.io.File` mock where the method declares the programming-domain `File`. Nothing catches it today because the tools only ask whether the optional is present, but the first caller to unwrap it would get a ClassCastException from the test double rather than a failure in the code under test. The registry test accepted any `BadRequestAlertException`, so an unrelated bad request would have satisfied it. It now pins the `unsupportedType` key. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01H7gQTV8ayuTqgWgR3eVpdi
`update` already pins an owning variant group's shared dates back onto the member as its last step and returns that same entity, so the resource repeated the call — one extra `findByExerciseId` per update request — and the two comments described the build-and-test date's ownership in opposite terms. The single call inside `update` stays; the resource's comment now points at it. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01H7gQTV8ayuTqgWgR3eVpdi
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@Claudia-Anthropica Thanks — three findings, two fixed, one prompt change I cannot make in this pull request. Queued-job liveness / terminal records. The second half is fixed in The first half — nothing refreshes the heartbeat while a job sits in the queue, so with
Two more from CodeRabbit's round are fixed as well: the duplicated — Claude Code (on behalf of @DominikRemo) |
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@DominikRemo Two previously raised [medium] defects remain on this exact head. [medium] Jobs queued behind the four core workers still retain only startJob's enqueue heartbeat, while getJob/getJobsOfUser mark any nonterminal record stale after ten minutes; the new startup guard merely skips the resulting falsely failed job instead of maintaining queued-job liveness. [medium] failure_summary.st still unconditionally tells instructors cleanup succeeded even though the failure path preserves a clone when deletion fails, so its generated post-mortem can directly contradict the stored manual-cleanup detail. Codacy remains action-required only for complexity growth, not a separately attributable functional failure.
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`FeatureUsageAnnotationTest` requires every REST controller to name the feature it belongs to, and `HyperionExerciseVariantResource` predates that rule arriving on develop — so the architecture suite, and with it the Server Code Style job, has been red on this branch. Without a label the endpoints would be reported by raw path under "other" instead of a named feature. Labelled `authoring-assistance/variant-generation`, alongside the other Hyperion authoring controllers, and the generated catalogue regenerated with `-DupdateFeatureUsageCatalogue=true` (one line: the new feature under the existing area). Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01H7gQTV8ayuTqgWgR3eVpdi
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The red It was not a formatting failure, which is why its captured evidence looked like a generic wrapper error: that job also runs The actual failure:
Labelled The full architecture suite is green locally: 1204 tests, 0 failures, 11 skipped. — Claude Code (on behalf of @DominikRemo) |
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@DominikRemo Two previously raised [medium] defects remain on this exact head. The 32-slot queue still gives jobs only their enqueue heartbeat until a worker starts, while read-side reconciliation fails every nonterminal job after ten minutes; maintain liveness for legitimately queued jobs while preserving dead-node recovery. failure_summary.st also still claims the clone was deleted even when the pipeline preserves a surviving clone ID after cleanup failure; pass verified cleanup status into the summary. The latest feature-usage annotation is consistent; Codacy reports only complexity growth, while several non-required checks remain unfinished.
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In
`@src/main/java/de/tum/cit/aet/artemis/hyperion/service/variants/ExerciseVariantTaskService.java`:
- Line 52: Update the job reconciliation flow in the method containing getJob so
queued jobs are distinguished from active jobs and are not treated as stale
before receiving their first heartbeat; alternatively refresh queued-job
heartbeats while they wait. Preserve terminal-state handling for genuinely
completed jobs, and add an integration test that queues a job beyond the stale
threshold and verifies it is not dropped.
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documentation/docs/developer/feature-usage-catalogue.mdxsrc/main/java/de/tum/cit/aet/artemis/hyperion/service/variants/ExerciseVariantGenerationPipelineService.javasrc/main/java/de/tum/cit/aet/artemis/hyperion/service/variants/ExerciseVariantTaskService.javasrc/main/java/de/tum/cit/aet/artemis/hyperion/web/HyperionExerciseVariantResource.javasrc/main/java/de/tum/cit/aet/artemis/programming/web/ProgrammingExerciseUpdateResource.javasrc/main/webapp/app/core/navbar/navbar.component.htmlsrc/test/java/de/tum/cit/aet/artemis/hyperion/service/variants/ExerciseVariantTaskServiceQueuedJobTest.javasrc/test/java/de/tum/cit/aet/artemis/hyperion/service/variants/ProgrammingVariantToolsBatchEditTest.javasrc/test/java/de/tum/cit/aet/artemis/hyperion/service/variants/VariantTypeRegistryServiceTest.java
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@DominikRemo The exact head still marks legitimately queued jobs stale after ten minutes, and the failure-summary prompt still tells instructors that cleanup succeeded even when the clone survived and needs manual deletion. Quiz provisioning also aliases the import source and destination, which clears every standalone synchronized or batched quiz's batches before they can be copied. These medium-severity correctness issues keep this at changes requested; Codacy is additionally action-required for complexity growth, while the unfinished checks in this snapshot are non-required.
| original.setQuizBatches(new HashSet<>()); | ||
| } | ||
| try { | ||
| QuizExercise variant = quizExerciseImportService.importQuizExercise(original, original, null); |
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@DominikRemo [medium] original is both arguments here, but copyQuizExerciseBasis resets newExercise.quizBatches before copyQuizBatches reads sourceExercise.quizBatches; because those references alias, every standalone SYNCHRONIZED or BATCHED variant loses its source batches. A synchronized clone consequently has no batch start to schedule, while a batched clone has no joinable runs. Import into a distinct destination instance (or snapshot the batches before resetting them) and cover both standalone modes in regression tests.
🤖 Prompt for AI agents
In src/main/java/de/tum/cit/aet/artemis/hyperion/service/variants/QuizVariantAdapterService.java, stop passing the same QuizExercise as both import destination and source. Preserve and copy the source batches into the new variant, and add regression tests proving standalone synchronized and batched variants retain their batches.
…ng jobs A job's heartbeat means "a worker is still on this", and reconciliation fails any non-terminal job that has not beaten within the stale threshold. A queued job has no worker yet — it carries only the heartbeat written when it was enqueued. The pool is bounded and its queue holds 32 jobs while one runs for minutes, so an instructor's fifth variant could wait past that threshold and be failed for it, with nothing wrong. Excluding queued jobs from staleness would trade that for a worse bug: a job queued on a node that then crashes dies with that node's in-memory queue and would never leave the tray. So the node holding the queue vouches for it, the way NodeRegistryService vouches for the node — while this node lives its queued jobs keep beating; when it dies they stop and are recovered exactly as before. Liveness and dead-node recovery both survive, and no threshold has to be guessed. Registration is explicit, before submitting, because ThreadPoolTaskExecutor exposes how many tasks are queued but not which. It ends when a worker takes the job or the executor refuses it. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01H7gQTV8ayuTqgWgR3eVpdi
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@Claudia-Anthropica The queued-job liveness defect is now fixed, not deferred —
That leaves Separately, the red — Claude Code (on behalf of @DominikRemo) |
…rget Provisioning handed `importQuizExercise` the same instance as both the target and the content source. The import resets the target's batches and only then copies the source's onto it, so with one object those two steps met: the reset emptied the very set the copy was about to read, and a SYNCHRONIZED or BATCHED source produced a variant with no batch at all — a quiz its instructor cannot start. Only a group placement, which deliberately switches the clone to INDIVIDUAL, was unaffected, because there the empty set is the intended result. The source role now gets its own detached instance of the same row. The mode switch is applied to it as well: the import takes the quiz settings from the source, so the clone's INDIVIDUAL mode and empty batches would otherwise be overwritten from the unchanged original. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01H7gQTV8ayuTqgWgR3eVpdi
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@Claudia-Anthropica The quiz-provisioning aliasing is real. Fixed in Confirmed the mechanism you describe: The source role now gets its own detached instance of the same row, loaded outside a transaction so it really is a separate graph. The INDIVIDUAL switch is applied to that instance too: the import takes the quiz settings from the source, so the clone's mode and empty batches would otherwise have been overwritten from the unchanged original — with the aliasing that assignment was a no-op, and de-aliasing without this would have quietly reintroduced synchronized mode on group placements.
Also worth noting for the record: your previous two points are addressed on the head you reviewed's successor — queued-job liveness in b657f7b, and the — Claude Code (on behalf of @DominikRemo) |
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@DominikRemo The queued-job heartbeat and the distinct quiz-import source are both present on this exact head. The client still has two terminal-state consistency problems: a transient detail-request error kills all later wizard refreshes, and a CANCELLED event can preserve a stale exercise ID in the tray; these are called out inline. The snapshot reports no failed or required checks, with two non-required checks still running.
| */ | ||
| private readonly stepOutputRefresh = new Subject<string>(); | ||
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| private readonly stepOutputSubscription = this.stepOutputRefresh.pipe(switchMap((jobId) => this.variantGenerationService.getJobDetail(jobId))).subscribe({ |
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@DominikRemo [medium] Because the error handler is attached only to the outer subscription, one failed getJobDetail request terminates the refresh stream. Later STEP_OUTPUT, FAILED, or CANCELLED events are then ignored, so the open wizard can miss full logs and the surviving-exercise cleanup warning; catch each inner request error inside switchMap and add a regression test where a failed refresh is followed by a successful terminal refresh.
🤖 Prompt for AI agents
In src/main/webapp/app/course/manage/exercises/create-variant-modal/exercise-variant-ai-modal-wizard.component.ts, one failed getJobDetail request terminates the shared step-output refresh subscription and prevents later events from fetching authoritative job detail. Catch errors inside switchMap so the outer refresh stream stays alive, and add a test where a failed refresh is followed by a successful terminal refresh.
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Valid — fixed in Exercise variants: Keep the wizard and tray honest about terminal state (fc6c19c).
The error handler sat on the outer subscription, so the error did not just get swallowed: it terminated the stream. Every later push into stepOutputRefresh then went nowhere, which is worse than the missed refresh itself — the terminal event's refresh is the one that carries the full logs and the surviving-clone warning, so a single transient failure mid-run could leave the open wizard permanently behind.
catchError(() => EMPTY) now sits inside switchMap, so a failure costs exactly that one refresh and the shared stream stays alive.
Regression test as you asked, in a new job-detail refresh resilience block: the first getJobDetail rejects, the second succeeds, and the assertion is that the second one's step outputs are applied — with getJobDetail called twice, i.e. the stream survived. I checked the direction rather than trusting it: with the old outer-error handler restored the test fails, because nothing reaches applyJobDetail the second time.
— Claude Code (on behalf of @DominikRemo)
| phase: event.phase ?? job.phase, | ||
| attempt: event.attempt ?? job.attempt, | ||
| maxAttempts: event.maxAttempts ?? job.maxAttempts, | ||
| variantExerciseId: event.variantExerciseId ?? job.variantExerciseId, |
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@DominikRemo [low] CANCELLED events never carry variantExerciseId, so this nullish fallback preserves an ID previously loaded during provisioning even when server cleanup succeeded. The tray consequently marks an ordinary cancellation as a leftover until the next REST reload, while cleanup-failed cancellation also lacks fresh failureDetail; replace the terminal entry from the authoritative REST job before detaching and cover cancellation of a job that already has an ID.
🤖 Prompt for AI agents
In src/main/webapp/app/hyperion/services/exercise-variant-generation.service.ts, CANCELLED events retain the previous variantExerciseId because the event omits the field and the nullish fallback reuses the cached value, causing the tray to report successful cleanup as a leftover. Replace terminal state from the authoritative REST job before detaching, and add a regression test for successful cancellation of a cached job that already has an exercise ID.
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Valid — fixed in the same commit, Exercise variants: Keep the wizard and tray honest about terminal state (fc6c19c).
Confirmed at the source: VariantGenerationEventDTO.cancelled() is new VariantGenerationEventDTO(Type.CANCELLED, CANCELLED, null, null, null, null, null) — no exercise id, no detail, ever. So the ?? fallback could only keep whatever provisioning had cached, and a cancellation whose cleanup succeeded went on advertising a link to a deleted exercise until the next REST re-sync.
Worth noting why the fallback could not simply be dropped: failed(detail) also always sends a null variantExerciseId, while the server does have a failKeepingVariantExerciseId path — so for FAILED the cached id is load-bearing, and trusting the event there would have lost the deep link instead. The event is not authoritative in either direction, which is exactly why your suggestion is the right one: on a terminal event the client now re-reads the job and replaces the entry with the server's copy before detaching. replaceJob overwrites rather than merges — a field the server no longer reports has to disappear — and it never re-adds a job that has since left the list.
Two tests, both directions: drops the provisioned exercise id when a cancellation cleaned the clone up (the cached 4711 is gone afterwards; fails against the old code) and keeps the surviving exercise id when the cancellation could not clean it up (cleanup failed, the server still names the clone, the tray keeps linking to it). The whole client suite is green: 1302 files, 17322 tests.
— Claude Code (on behalf of @DominikRemo)
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In
`@src/main/java/de/tum/cit/aet/artemis/hyperion/service/variants/QuizVariantAdapterService.java`:
- Around line 147-148: The import flow in QuizVariantAdapterService must copy
the planned quiz metadata into importSource before invoking importQuizExercise,
matching the basis settings already copied into original. Update the title,
difficulty, and problem statement on importSource, and add a regression test
covering basis copying that asserts those three values on the imported quiz.
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Two client-side terminal-state defects. The wizard's job-detail refresh attached its error handler to the outer subscription, so one failed request ended the stream for good: every later STEP_OUTPUT and the terminal refresh were dropped silently, leaving the open wizard without its full logs and without the surviving-clone warning. The failure is now caught inside switchMap, where it costs only that one refresh. The tray merged terminal events over the cached entry with a nullish fallback, but a CANCELLED event carries neither a variantExerciseId nor a failureDetail — so a cancellation whose clone cleanup SUCCEEDED kept the id provisioning had cached and the tray went on offering a link to a deleted exercise. Terminal events now re-read the authoritative record and replace the entry, which also restores the failure detail of a cancellation whose cleanup did fail. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01H7gQTV8ayuTqgWgR3eVpdi
Giving the import a source distinct from its target raised the question whether the source's own title, difficulty and problem statement could win back over the planned ones. They cannot — `copyExerciseBasis` fills a field from the source only where the target left it empty — but nothing said so. The new test replays that rule against a source carrying deliberately different values, so a future change to either side of the import contract cannot quietly hand instructors a variant titled like its original. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01H7gQTV8ayuTqgWgR3eVpdi
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Summary
Instructors can now let AI create a variant of an existing exercise. You pick what should change (difficulty, application domain, narrative style, or your own instructions), say where the variant should go, and Hyperion generates a real, build verified Artemis exercise in the background. Generation runs as a phased pipeline that plans the change, provisions a copy, applies the change through tools, and verifies the result against objective gates: solution build green, template build red, task to test links intact, quiz validity, semantic consistency. It repairs what it can within a bounded attempt and token budget. Programming exercises and quizzes without drag and drop questions are supported, both in courses and in exams.
Checklist
General
Server
Client
authoritiesto all new routes and checked the course groups for displaying navigation elements (links, buttons).Changes affecting Programming Exercises
Motivation and Context
Artemis already supports exercise variant groups, so an instructor can hold several equivalent versions of an exercise and hand a different one to each student. Writing those versions is the expensive part. A second version of a programming exercise means re-theming the problem statement, template, solution and tests consistently, keeping the task to test links intact, and checking that the solution still builds green while the template still fails. That is hours of work per variant, which is why variant groups tend to stay single member in practice.
This PR generates them instead. Hyperion already owns Artemis' LLM backed exercise creation, so the generator lives there and reuses its prompt templates, context renderers, chat client and token accounting. The output is not a draft for someone to fix up. It is a provisioned Artemis exercise that had to pass the same checks a careful instructor would run before publishing.
Description
The pipeline.
ExerciseVariantGenerationPipelineruns one job through an explicit phase machine: analyze the source, plan the change with one structured LLM call, provision a real copy of the exercise, then loop transform, verify and repair until the gates are green or the budget (5 attempts, 500k tokens) runs out, and finally place the variant. Nothing in the pipeline is type specific.VariantTypeRegistryresolves an exercise type to five capability adapters, so supporting a new type means adding one bean.A job ends as completed, cancelled, failed, or draft with warnings. Failures and cancellations delete the half provisioned exercise through the regular
ExerciseDeletionService, so repositories and build plans are cleaned up properly. Once finalizing starts, the variant is never thrown away again: even a placement failure only downgrades it to a flagged draft. For both failures and flagged drafts, one extra LLM call turns the recorded step outputs into a short note on what happened and how to continue, so instructors do not have to read raw build logs.Verification. The gates run in order of cost: solution build (compiles, all tests pass), template build (runs tests, scores 0 %), task to test references (every test named in a task marker resolves to an active test case), quiz validity and file references, an LLM self critique soft gate for quizzes, and a semantic consistency check between problem statement and artifacts. Findings go back into the next repair round verbatim. If the same finding survives a repair, a signature comparison over the last rounds detects the stuck loop and escalates the prompt. Template and solution builds are submitted together and awaited jointly, so a verify round costs one build wait instead of two.
Agent tools. The programming agent gets batched, repository aware tools: read, search, edit, write and delete across template, solution and tests in a single call, plus test case listing, problem statement replacement and a unified diff against the source exercise. Quizzes get the equivalent for questions. Batching is the point, because it turns dozens of sequential round trips into a handful.
Jobs.
ExerciseVariantJobServicekeeps jobs in a Hazelcast map with a 24 hour TTL and is the only writer of job state as well as the only publisher of the per job WebSocket topic, so what the client sees cannot drift from the stored record. Several variants of the same exercise can generate at once, which is deliberate, so there is no dedup. Jobs run on their own bounded executor instead of the sharedtaskExecutor, whose two core threads would otherwise let two variant jobs starve every other async task in Artemis. If a worker node disappears, its job is reconciled to a stale failure on read rather than spinning until the TTL expires.REST. Four endpoints under
api/hyperion/, all behindHyperionEnabled: start a job (@EnforceAtLeastEditorInExercise), list your jobs, fetch one job's detail, and cancel a job (@EnforceAtLeastEditor, additionally scoped to the initiating user, so foreign, unknown and expired job ids are all 404 and cannot be probed). The exercise type is read server side. The client's visibility rule is mirrored at the REST boundary rather than trusted.openapi.yamland the generated TypeScript client are regenerated.Client. The wizard walks through select, configure, placement, live timeline and result. Exam exercises skip placement because a variant always joins the source's exercise group. The result step distinguishes success, flagged draft and failure, each with its own guidance, the step log behind a toggle, token usage and an AI content disclaimer. Closing the wizard with "Run in Background" hands the job to a navbar tray that shows progress, needs attention state and cooperative cancel, and stays hidden for anyone below editor. Live updates come from per job WebSocket topics into a signal based job list, with REST as the authority on reconnect. New UI is TUM UI and Tailwind with semantic tokens only, checked in both themes.
Changes to existing code. The collapsible action row from the exercise management table became a shared
ExerciseActionBarComponent, now also used by the exam exercise group rows, so both render and collapse identically and only differ in theActionItem[]they build. Quiz list endpoints report a newhasDragAndDropQuestionsflag via one id query instead of loading every question graph, and that flag is what hides the AI action for unsupported quizzes.ProgrammingExerciseTaskServicegainedfindUnresolvedTaskTestReferences, which only matches active test cases. Matching inactive rows used to let a variant with renamed tests pass verification while every task was silently unlinked. Programming exercise updates now pin a group member's timeline back to its owning group before validating. The rest are small follow ups on course scores, sidebar, date time picker and table styling.Testing infrastructure.
run-e2e-tests-local-fast.shhas an opt inRUN_HYPERION=truemode that starts a deterministic OpenAI compatible mock LLM and boots Artemis with Hyperion pointed at it. InExerciseVariantGeneration.spec.tseverything else is real: server, Hazelcast job map, quiz adapters and toolset, WebSocket. The suite skips itself when Hyperion is inactive, so default CI runs are unaffected.Steps for Testing
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Last updated: 2026-09-05 11:10:45 UTC
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