Apply ZIP update: 220-didactopus-media-rendering-pipeline-layer.zip [2026-03-14T13:20:42]

pyproject.toml

@@ -6,7 +6,19 @@ build-backend = "setuptools.build_meta"
 name = "didactopus"
 version = "0.1.0"
 requires-python = ">=3.10"
-dependencies = ["pydantic>=2.7", "pyyaml>=6.0"]
+dependencies = [
+  "pydantic>=2.7",
+  "fastapi>=0.115",
+  "uvicorn>=0.30",
+  "sqlalchemy>=2.0",
+  "passlib[bcrypt]>=1.7",
+  "python-jose[cryptography]>=3.3"
+]
+
+[project.scripts]
+didactopus-api = "didactopus.api:main"
+didactopus-export-svg = "didactopus.export_svg:main"
+didactopus-render-bundle = "didactopus.render_bundle:main"
 
 [tool.setuptools.packages.find]
 where = ["src"]

src/didactopus/api.py

@@ -1,103 +1,47 @@
 from __future__ import annotations
-import json
+from fastapi import FastAPI, HTTPException, Header, Depends
-from fastapi import FastAPI, HTTPException, Header, Depends, BackgroundTasks
 from fastapi.middleware.cors import CORSMiddleware
-import uvicorn
+import uvicorn, json, tempfile
-from .config import load_settings
+from pathlib import Path
 from .db import Base, engine
-from .models import (
+from .models import LoginRequest, RefreshRequest, TokenPair, CreateLearnerRequest, LearnerState, MediaRenderRequest
-    LoginRequest, ServiceAccountLoginRequest, ServiceAccountCreateRequest, ServiceAccountRotateRequest,
+from .repository import authenticate_user, get_user_by_id, store_refresh_token, refresh_token_active, revoke_refresh_token, list_packs_for_user, get_pack, get_pack_row, create_learner, learner_owned_by_user, load_learner_state, save_learner_state
-    ServiceAccountStateRequest, ServiceToken, RefreshRequest, TokenPair, CreateLearnerRequest, LearnerState,
+from .auth import issue_access_token, issue_refresh_token, decode_token, new_token_id
-    EvidenceEvent, EvaluatorSubmission, EvaluatorJobStatus, CreatePackRequest, AgentCapabilityManifest,
+from .engine import build_graph_frames, stable_layout
-    AgentLearnerPlanRequest, AgentLearnerPlanResponse, LearnerRunCreateRequest, WorkflowEventCreateRequest
+from .render_bundle import make_render_bundle
-)
-from .repository import (
-    authenticate_user, get_user_by_id, create_service_account, list_service_accounts, authenticate_service_account,
-    rotate_service_account_secret, set_service_account_active, add_agent_audit_log, list_agent_audit_logs,
-    create_learner_run, end_learner_run, list_learner_runs, add_workflow_event, list_workflow_events,
-    store_refresh_token, refresh_token_active, revoke_refresh_token, deployment_policy_profile, list_packs_for_user,
-    get_pack, get_pack_row, upsert_pack, create_learner, learner_owned_by_user, load_learner_state,
-    save_learner_state, create_evaluator_job, get_evaluator_job, list_evaluator_jobs_for_learner
-)
-from .engine import apply_evidence, recommend_next, build_animation_frames
-from .auth import issue_access_token, issue_refresh_token, issue_service_access_token, decode_token, new_token_id, new_secret
-from .worker import process_job
 
-settings = load_settings()
 Base.metadata.create_all(bind=engine)
 
 app = FastAPI(title="Didactopus API Prototype")
 app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_credentials=True, allow_methods=["*"], allow_headers=["*"])
 
-def current_actor(authorization: str = Header(default="")):
+def current_user(authorization: str = Header(default="")):
     token = authorization.removeprefix("Bearer ").strip()
     payload = decode_token(token) if token else None
-    if not payload:
+    if not payload or payload.get("kind") != "access":
         raise HTTPException(status_code=401, detail="Unauthorized")
-    if payload.get("kind") == "access":
     user = get_user_by_id(int(payload["sub"]))
     if user is None or not user.is_active:
         raise HTTPException(status_code=401, detail="Unauthorized")
-        return {"actor_type": "user", "user": user, "scopes": None}
+    return user
-    if payload.get("kind") == "service":
-        return {
-            "actor_type": "service",
-            "service_account_id": int(payload["sub"]),
-            "service_account_name": payload.get("service_account_name"),
-            "scopes": payload.get("scopes", []),
-        }
-    raise HTTPException(status_code=401, detail="Unauthorized")
 
-def require_admin(actor = Depends(current_actor)):
+def ensure_learner_access(user, learner_id: str):
-    if actor["actor_type"] != "user" or actor["user"].role != "admin":
-        raise HTTPException(status_code=403, detail="Admin role required")
-    return actor["user"]
-
-def audit_service_action(actor, action: str, target: str, outcome: str = "ok", detail: dict | None = None):
-    if actor["actor_type"] == "service":
-        add_agent_audit_log(
-            actor["service_account_id"],
-            actor["service_account_name"],
-            action,
-            target,
-            outcome,
-            detail or {},
-        )
-
-def require_scope(scope: str):
-    def inner(actor = Depends(current_actor)):
-        if actor["actor_type"] == "user":
-            return actor
-        scopes = set(actor.get("scopes") or [])
-        if scope not in scopes:
-            audit_service_action(actor, f"scope_denied:{scope}", "", "denied", {"scope": scope})
-            raise HTTPException(status_code=403, detail=f"Missing scope: {scope}")
-        return actor
-    return inner
-
-def ensure_learner_access(actor, learner_id: str):
-    if actor["actor_type"] == "service":
-        return
-    user = actor["user"]
     if user.role == "admin":
         return
     if not learner_owned_by_user(user.id, learner_id):
-        raise HTTPException(status_code=403, detail="Learner not accessible by this actor")
+        raise HTTPException(status_code=403, detail="Learner not accessible by this user")
 
-def ensure_pack_access(actor, pack_id: str):
+def ensure_pack_access(user, pack_id: str):
     row = get_pack_row(pack_id)
     if row is None:
         raise HTTPException(status_code=404, detail="Pack not found")
-    if actor["actor_type"] == "service":
-        return row
-    user = actor["user"]
     if user.role == "admin":
         return row
     if row.policy_lane == "community":
         return row
     if row.owner_user_id == user.id:
         return row
-    raise HTTPException(status_code=403, detail="Pack not accessible by this actor")
+    raise HTTPException(status_code=403, detail="Pack not accessible by this user")
 
 @app.post("/api/login", response_model=TokenPair)
 def login(payload: LoginRequest):
@@ -108,14 +52,6 @@ def login(payload: LoginRequest):
     store_refresh_token(user.id, token_id)
     return TokenPair(access_token=issue_access_token(user.id, user.username, user.role), refresh_token=issue_refresh_token(user.id, user.username, user.role, token_id), username=user.username, role=user.role)
 
-@app.post("/api/service-accounts/login", response_model=ServiceToken)
-def service_login(payload: ServiceAccountLoginRequest):
-    sa = authenticate_service_account(payload.name, payload.secret)
-    if sa is None:
-        raise HTTPException(status_code=401, detail="Invalid service account credentials")
-    scopes = json.loads(sa.scopes_json or "[]")
-    return ServiceToken(access_token=issue_service_access_token(sa.id, sa.name, scopes), service_account_name=sa.name, scopes=scopes)
-
 @app.post("/api/refresh", response_model=TokenPair)
 def refresh(payload: RefreshRequest):
     data = decode_token(payload.refresh_token)
@@ -132,189 +68,73 @@ def refresh(payload: RefreshRequest):
     store_refresh_token(user.id, new_jti)
     return TokenPair(access_token=issue_access_token(user.id, user.username, user.role), refresh_token=issue_refresh_token(user.id, user.username, user.role, new_jti), username=user.username, role=user.role)
 
-@app.get("/api/deployment-policy")
-def api_deployment_policy(actor = Depends(current_actor)):
-    return deployment_policy_profile().model_dump()
-
-@app.get("/api/agent/capabilities", response_model=AgentCapabilityManifest)
-def api_agent_capabilities(actor = Depends(current_actor)):
-    return AgentCapabilityManifest()
-
-@app.post("/api/agent/learner-plan", response_model=AgentLearnerPlanResponse)
-def api_agent_learner_plan(payload: AgentLearnerPlanRequest, actor = Depends(require_scope("recommendations:read"))):
-    ensure_learner_access(actor, payload.learner_id)
-    ensure_pack_access(actor, payload.pack_id)
-    state = load_learner_state(payload.learner_id)
-    pack = get_pack(payload.pack_id)
-    if pack is None:
-        raise HTTPException(status_code=404, detail="Pack not found")
-    cards = recommend_next(state, pack)
-    audit_service_action(actor, "agent_learner_plan", f"{payload.learner_id}:{payload.pack_id}", "ok", {"cards": len(cards)})
-    return AgentLearnerPlanResponse(learner_id=payload.learner_id, pack_id=payload.pack_id, next_cards=cards, suggested_actions=["Read learner state", "Choose next card", "Submit evidence", "Refresh recommendations"])
-
-@app.post("/api/admin/service-accounts")
-def api_create_service_account(payload: ServiceAccountCreateRequest, user = Depends(require_admin)):
-    secret = new_secret()
-    sa = create_service_account(payload.name, user.id, payload.description, payload.scopes, secret)
-    return {"id": sa.id, "name": sa.name, "scopes": payload.scopes, "secret": secret}
-
-@app.get("/api/admin/service-accounts")
-def api_list_service_accounts(user = Depends(require_admin)):
-    return list_service_accounts()
-
-@app.post("/api/admin/service-accounts/rotate")
-def api_rotate_service_account(payload: ServiceAccountRotateRequest, user = Depends(require_admin)):
-    secret = new_secret()
-    sa = rotate_service_account_secret(payload.name, secret)
-    if sa is None:
-        raise HTTPException(status_code=404, detail="Service account not found")
-    return {"name": sa.name, "secret": secret}
-
-@app.post("/api/admin/service-accounts/state")
-def api_service_account_state(payload: ServiceAccountStateRequest, name: str, user = Depends(require_admin)):
-    sa = set_service_account_active(name, payload.is_active)
-    if sa is None:
-        raise HTTPException(status_code=404, detail="Service account not found")
-    return {"name": sa.name, "is_active": sa.is_active}
-
-@app.get("/api/admin/agent-audit-logs")
-def api_agent_audit_logs(user = Depends(require_admin)):
-    return list_agent_audit_logs()
-
 @app.get("/api/packs")
-def api_list_packs(actor = Depends(require_scope("packs:read"))):
+def api_list_packs(user = Depends(current_user)):
-    user_id = actor["user"].id if actor["actor_type"] == "user" else None
+    return [p.model_dump() for p in list_packs_for_user(user.id, include_unpublished=(user.role == "admin"))]
-    packs = [p.model_dump() for p in list_packs_for_user(user_id, include_unpublished=(actor["actor_type"] == "user" and actor["user"].role == "admin"))]
-    audit_service_action(actor, "packs_list", "packs", "ok", {"count": len(packs)})
-    return packs
-
-@app.post("/api/packs")
-def api_upsert_personal_pack(payload: CreatePackRequest, actor = Depends(require_scope("packs:write_personal"))):
-    if payload.policy_lane != "personal":
-        raise HTTPException(status_code=403, detail="This endpoint is for personal-lane write access")
-    if actor["actor_type"] != "user":
-        raise HTTPException(status_code=403, detail="Service accounts may not own personal packs in this scaffold")
-    upsert_pack(payload.pack, submitted_by_user_id=actor["user"].id, policy_lane="personal", is_published=payload.is_published, change_summary=payload.change_summary)
-    return {"ok": True, "pack_id": payload.pack.id, "policy_lane": "personal"}
 
 @app.post("/api/learners")
-def api_create_learner(payload: CreateLearnerRequest, actor = Depends(require_scope("learners:write"))):
+def api_create_learner(payload: CreateLearnerRequest, user = Depends(current_user)):
-    if actor["actor_type"] != "user":
+    create_learner(user.id, payload.learner_id, payload.display_name)
-        raise HTTPException(status_code=403, detail="Service accounts do not create learners in this scaffold")
-    create_learner(actor["user"].id, payload.learner_id, payload.display_name)
     return {"ok": True, "learner_id": payload.learner_id}
 
 @app.get("/api/learners/{learner_id}/state")
-def api_get_learner_state(learner_id: str, actor = Depends(require_scope("learners:read"))):
+def api_get_learner_state(learner_id: str, user = Depends(current_user)):
-    ensure_learner_access(actor, learner_id)
+    ensure_learner_access(user, learner_id)
-    state = load_learner_state(learner_id).model_dump()
+    return load_learner_state(learner_id).model_dump()
-    audit_service_action(actor, "learner_state_read", learner_id, "ok", {"records": len(state.get("records", []))})
-    return state
 
 @app.put("/api/learners/{learner_id}/state")
-def api_put_learner_state(learner_id: str, state: LearnerState, actor = Depends(require_scope("learners:write"))):
+def api_put_learner_state(learner_id: str, state: LearnerState, user = Depends(current_user)):
-    ensure_learner_access(actor, learner_id)
+    ensure_learner_access(user, learner_id)
     if learner_id != state.learner_id:
         raise HTTPException(status_code=400, detail="Learner ID mismatch")
-    result = save_learner_state(state).model_dump()
+    return save_learner_state(state).model_dump()
-    audit_service_action(actor, "learner_state_write", learner_id, "ok", {"records": len(result.get("records", []))})
-    return result
 
-@app.post("/api/learners/{learner_id}/evidence")
+@app.get("/api/packs/{pack_id}/layout")
-def api_post_evidence(learner_id: str, event: EvidenceEvent, actor = Depends(require_scope("learners:write"))):
+def api_pack_layout(pack_id: str, user = Depends(current_user)):
-    ensure_learner_access(actor, learner_id)
+    ensure_pack_access(user, pack_id)
-    state = load_learner_state(learner_id)
-    state = apply_evidence(state, event)
-    result = save_learner_state(state).model_dump()
-    audit_service_action(actor, "learner_evidence_post", learner_id, "ok", {"concept_id": event.concept_id})
-    return result
-
-@app.get("/api/learners/{learner_id}/recommendations/{pack_id}")
-def api_get_recommendations(learner_id: str, pack_id: str, actor = Depends(require_scope("recommendations:read"))):
-    ensure_learner_access(actor, learner_id)
-    ensure_pack_access(actor, pack_id)
-    state = load_learner_state(learner_id)
     pack = get_pack(pack_id)
-    if pack is None:
+    return {"pack_id": pack_id, "layout": stable_layout(pack)} if pack else {"pack_id": pack_id, "layout": {}}
-        raise HTTPException(status_code=404, detail="Pack not found")
-    cards = recommend_next(state, pack)
-    audit_service_action(actor, "recommendations_read", f"{learner_id}:{pack_id}", "ok", {"cards": len(cards)})
-    return {"cards": cards}
 
-@app.post("/api/learners/{learner_id}/evaluator-jobs", response_model=EvaluatorJobStatus)
+@app.get("/api/learners/{learner_id}/graph-animation/{pack_id}")
-def api_submit_evaluator_job(learner_id: str, payload: EvaluatorSubmission, background_tasks: BackgroundTasks, actor = Depends(require_scope("evaluators:submit"))):
+def api_graph_animation(learner_id: str, pack_id: str, user = Depends(current_user)):
-    ensure_learner_access(actor, learner_id)
+    ensure_learner_access(user, learner_id)
-    ensure_pack_access(actor, payload.pack_id)
+    ensure_pack_access(user, pack_id)
-    job_id = create_evaluator_job(learner_id, payload.pack_id, payload.concept_id, payload.submitted_text)
-    background_tasks.add_task(process_job, job_id)
-    audit_service_action(actor, "evaluator_job_submit", str(job_id), "ok", {"learner_id": learner_id, "pack_id": payload.pack_id})
-    return EvaluatorJobStatus(job_id=job_id, status="queued")
-
-@app.get("/api/evaluator-jobs/{job_id}", response_model=EvaluatorJobStatus)
-def api_get_evaluator_job(job_id: int, actor = Depends(require_scope("evaluators:read"))):
-    job = get_evaluator_job(job_id)
-    if job is None:
-        raise HTTPException(status_code=404, detail="Job not found")
-    audit_service_action(actor, "evaluator_job_read", str(job_id), "ok", {})
-    return EvaluatorJobStatus(job_id=job.id, status=job.status, result_score=job.result_score, result_confidence_hint=job.result_confidence_hint, result_notes=job.result_notes)
-
-@app.get("/api/learners/{learner_id}/evaluator-history")
-def api_get_evaluator_history(learner_id: str, actor = Depends(require_scope("evaluators:read"))):
-    ensure_learner_access(actor, learner_id)
-    jobs = list_evaluator_jobs_for_learner(learner_id)
-    audit_service_action(actor, "evaluator_history_read", learner_id, "ok", {"jobs": len(jobs)})
-    return [{"job_id": j.id, "status": j.status, "concept_id": j.concept_id, "result_score": j.result_score, "result_confidence_hint": j.result_confidence_hint, "result_notes": j.result_notes} for j in jobs]
-
-@app.post("/api/learner-runs")
-def api_create_learner_run(payload: LearnerRunCreateRequest, actor = Depends(current_actor)):
-    ensure_learner_access(actor, payload.learner_id)
-    ensure_pack_access(actor, payload.pack_id)
-    actor_name = actor["service_account_name"] if actor["actor_type"] == "service" else actor["user"].username
-    run_id = create_learner_run(payload.learner_id, payload.pack_id, payload.actor_kind, actor_name, payload.title)
-    audit_service_action(actor, "learner_run_create", str(run_id), "ok", {"learner_id": payload.learner_id, "pack_id": payload.pack_id})
-    return {"run_id": run_id}
-
-@app.post("/api/learner-runs/{run_id}/complete")
-def api_complete_learner_run(run_id: int, actor = Depends(current_actor)):
-    row = end_learner_run(run_id)
-    if row is None:
-        raise HTTPException(status_code=404, detail="Run not found")
-    audit_service_action(actor, "learner_run_complete", str(run_id), "ok", {})
-    return {"run_id": run_id, "status": row.status}
-
-@app.get("/api/learners/{learner_id}/runs")
-def api_list_learner_runs(learner_id: str, actor = Depends(current_actor)):
-    ensure_learner_access(actor, learner_id)
-    return list_learner_runs(learner_id)
-
-@app.post("/api/workflow-events")
-def api_add_workflow_event(payload: WorkflowEventCreateRequest, actor = Depends(current_actor)):
-    ensure_learner_access(actor, payload.learner_id)
-    event_id = add_workflow_event(payload.run_id, payload.learner_id, payload.event_type, payload.concept_id, payload.timestamp, payload.detail)
-    audit_service_action(actor, "workflow_event_add", str(event_id), "ok", {"run_id": payload.run_id, "event_type": payload.event_type})
-    return {"event_id": event_id}
-
-@app.get("/api/learner-runs/{run_id}/workflow-events")
-def api_list_workflow_events(run_id: int, actor = Depends(current_actor)):
-    events = list_workflow_events(run_id)
-    audit_service_action(actor, "workflow_events_read", str(run_id), "ok", {"count": len(events)})
-    return events
-
-@app.get("/api/learners/{learner_id}/animation/{pack_id}")
-def api_learning_animation(learner_id: str, pack_id: str, actor = Depends(current_actor)):
-    ensure_learner_access(actor, learner_id)
-    ensure_pack_access(actor, pack_id)
     pack = get_pack(pack_id)
     state = load_learner_state(learner_id)
-    frames = build_animation_frames(state)
+    frames = build_graph_frames(state, pack)
-    audit_service_action(actor, "learning_animation_read", f"{learner_id}:{pack_id}", "ok", {"frames": len(frames)})
     return {
         "learner_id": learner_id,
         "pack_id": pack_id,
         "pack_title": pack.title if pack else "",
         "frames": frames,
-        "concepts": [c.id for c in pack.concepts] if pack else [],
+        "concepts": [{"id": c.id, "title": c.title, "prerequisites": c.prerequisites, "cross_pack_links": [l.model_dump() for l in c.cross_pack_links]} for c in pack.concepts] if pack else [],
+    }
+
+@app.post("/api/learners/{learner_id}/render-bundle/{pack_id}")
+def api_render_bundle(learner_id: str, pack_id: str, payload: MediaRenderRequest, user = Depends(current_user)):
+    ensure_learner_access(user, learner_id)
+    ensure_pack_access(user, pack_id)
+    pack = get_pack(pack_id)
+    state = load_learner_state(learner_id)
+    animation = {
+        "learner_id": learner_id,
+        "pack_id": pack_id,
+        "pack_title": pack.title if pack else "",
+        "frames": build_graph_frames(state, pack),
+    }
+    base = Path(tempfile.mkdtemp(prefix="didactopus_render_"))
+    payload_json = base / "animation_payload.json"
+    payload_json.write_text(json.dumps(animation, indent=2), encoding="utf-8")
+    out_dir = base / "bundle"
+    make_render_bundle(str(payload_json), str(out_dir), fps=payload.fps, fmt=payload.format)
+    return {
+        "bundle_dir": str(out_dir),
+        "payload_json": str(payload_json),
+        "manifest": str(out_dir / "render_manifest.json"),
+        "script": str(out_dir / "render.sh"),
+        "format": payload.format,
+        "fps": payload.fps,
     }
 
 def main():
-    uvicorn.run(app, host=settings.host, port=settings.port)
+    uvicorn.run(app, host="127.0.0.1", port=8011)

src/didactopus/auth.py

@@ -25,9 +25,6 @@ def issue_access_token(user_id: int, username: str, role: str) -> str:
 def issue_refresh_token(user_id: int, username: str, role: str, token_id: str) -> str:
     return _encode_token({"sub": str(user_id), "username": username, "role": role, "kind": "refresh", "jti": token_id}, timedelta(days=14))
 
-def issue_service_access_token(service_account_id: int, name: str, scopes: list[str]) -> str:
-    return _encode_token({"sub": str(service_account_id), "service_account_name": name, "kind": "service", "scopes": scopes}, timedelta(hours=8))
-
 def decode_token(token: str) -> dict | None:
     try:
         return jwt.decode(token, settings.jwt_secret, algorithms=[settings.jwt_algorithm])
@@ -36,6 +33,3 @@ def decode_token(token: str) -> dict | None:
 
 def new_token_id() -> str:
     return secrets.token_urlsafe(24)
-
-def new_secret() -> str:
-    return secrets.token_urlsafe(24)

src/didactopus/config.py

@@ -8,7 +8,6 @@ class Settings(BaseModel):
     port: int = int(os.getenv("DIDACTOPUS_PORT", "8011"))
     jwt_secret: str = os.getenv("DIDACTOPUS_JWT_SECRET", "change-me")
     jwt_algorithm: str = "HS256"
-    deployment_policy_profile: str = os.getenv("DIDACTOPUS_POLICY_PROFILE", "single_user")
 
 def load_settings() -> Settings:
     return Settings()

src/didactopus/engine.py

@@ -1,76 +1,110 @@
 from __future__ import annotations
-from .models import LearnerState, EvidenceEvent, MasteryRecord, PackData
+from collections import defaultdict
+from .models import LearnerState, PackData
 
-def get_record(state: LearnerState, concept_id: str, dimension: str = "mastery") -> MasteryRecord | None:
+def concept_depths(pack: PackData) -> dict[str, int]:
-    for rec in state.records:
+    concept_map = {c.id: c for c in pack.concepts}
-        if rec.concept_id == concept_id and rec.dimension == dimension:
+    memo = {}
-            return rec
+    def depth(cid: str) -> int:
-    return None
+        if cid in memo:
+            return memo[cid]
+        c = concept_map[cid]
+        if not c.prerequisites:
+            memo[cid] = 0
+        else:
+            memo[cid] = 1 + max(depth(pid) for pid in c.prerequisites if pid in concept_map)
+        return memo[cid]
+    for cid in concept_map:
+        depth(cid)
+    return memo
 
-def apply_evidence(state: LearnerState, event: EvidenceEvent, decay: float = 0.05, reinforcement: float = 0.25) -> LearnerState:
+def stable_layout(pack: PackData, width: int = 900, height: int = 520):
-    rec = get_record(state, event.concept_id, event.dimension)
+    depths = concept_depths(pack)
-    if rec is None:
+    layers = defaultdict(list)
-        rec = MasteryRecord(concept_id=event.concept_id, dimension=event.dimension, score=0.0, confidence=0.0, evidence_count=0, last_updated=event.timestamp)
+    for c in pack.concepts:
-        state.records.append(rec)
+        layers[depths.get(c.id, 0)].append(c)
-    weight = max(0.05, min(1.0, event.confidence_hint))
+    positions = {}
-    rec.score = ((rec.score * rec.evidence_count) + (event.score * weight)) / max(1, rec.evidence_count + 1)
+    max_depth = max(layers.keys()) if layers else 0
-    rec.confidence = min(1.0, max(0.0, rec.confidence * (1.0 - decay) + reinforcement * weight + 0.10 * max(0.0, min(1.0, event.score))))
+    for d in sorted(layers):
-    rec.evidence_count += 1
+        nodes = sorted(layers[d], key=lambda c: c.id)
-    rec.last_updated = event.timestamp
+        y = 90 + d * ((height - 160) / max(1, max_depth))
-    state.history.append(event)
+        for idx, node in enumerate(nodes):
-    return state
+            if node.position is not None:
+                positions[node.id] = {"x": node.position.x, "y": node.position.y, "source": "pack_authored"}
+            else:
+                spacing = width / (len(nodes) + 1)
+                x = spacing * (idx + 1)
+                positions[node.id] = {"x": x, "y": y, "source": "auto_layered"}
+    return positions
 
-def prereqs_satisfied(state: LearnerState, concept, min_score: float = 0.65, min_confidence: float = 0.45) -> bool:
+def prereqs_satisfied(scores: dict[str, float], concept, min_score: float = 0.65) -> bool:
     for pid in concept.prerequisites:
-        rec = get_record(state, pid, concept.masteryDimension)
+        if scores.get(pid, 0.0) < min_score:
-        if rec is None or rec.score < min_score or rec.confidence < min_confidence:
             return False
     return True
 
-def concept_status(state: LearnerState, concept, min_score: float = 0.65, min_confidence: float = 0.45) -> str:
+def concept_status(scores: dict[str, float], concept, min_score: float = 0.65) -> str:
-    rec = get_record(state, concept.id, concept.masteryDimension)
+    score = scores.get(concept.id, 0.0)
-    if rec and rec.score >= min_score and rec.confidence >= min_confidence:
+    if score >= min_score:
         return "mastered"
-    if prereqs_satisfied(state, concept, min_score, min_confidence):
+    if prereqs_satisfied(scores, concept, min_score):
-        return "active" if rec else "available"
+        return "active" if score > 0 else "available"
     return "locked"
 
-def recommend_next(state: LearnerState, pack: PackData) -> list[dict]:
+def build_graph_frames(state: LearnerState, pack: PackData):
-    cards = []
+    concepts = {c.id: c for c in pack.concepts}
-    for concept in pack.concepts:
+    layout = stable_layout(pack)
-        status = concept_status(state, concept)
+    scores = {c.id: 0.0 for c in pack.concepts}
-        rec = get_record(state, concept.id, concept.masteryDimension)
-        if status in {"available", "active"}:
-            cards.append({
-                "id": concept.id,
-                "title": f"Work on {concept.title}",
-                "minutes": 15 if status == "available" else 10,
-                "reason": "Prerequisites are satisfied, so this is the best next unlock." if status == "available" else "You have started this concept, but mastery is not yet secure.",
-                "why": [
-                    "Prerequisite check passed",
-                    f"Current score: {rec.score:.2f}" if rec else "No evidence recorded yet",
-                    f"Current confidence: {rec.confidence:.2f}" if rec else "Confidence starts after your first exercise",
-                ],
-                "reward": concept.exerciseReward or f"{concept.title} progress recorded",
-                "conceptId": concept.id,
-                "scoreHint": 0.82 if status == "available" else 0.76,
-                "confidenceHint": 0.72 if status == "available" else 0.55,
-            })
-    return cards[:4]
-
-def build_animation_frames(state: LearnerState):
-    concepts = sorted({ev.concept_id for ev in state.history} | {r.concept_id for r in state.records})
     frames = []
-    running = {c: 0.0 for c in concepts}
+    history = sorted(state.history, key=lambda x: x.timestamp)
-    for idx, ev in enumerate(sorted(state.history, key=lambda x: x.timestamp)):
+    static_edges = [{"source": pre, "target": c.id, "kind": "prerequisite"} for c in pack.concepts for pre in c.prerequisites]
-        running[ev.concept_id] = ev.score
+    static_cross = [{
+        "source": c.id,
+        "target_pack_id": link.target_pack_id,
+        "target_concept_id": link.target_concept_id,
+        "relationship": link.relationship,
+        "kind": "cross_pack"
+    } for c in pack.concepts for link in c.cross_pack_links]
+    for idx, ev in enumerate(history):
+        if ev.concept_id in scores:
+            scores[ev.concept_id] = ev.score
+        nodes = []
+        for cid, concept in concepts.items():
+            score = scores.get(cid, 0.0)
+            status = concept_status(scores, concept)
+            pos = layout[cid]
+            nodes.append({
+                "id": cid,
+                "title": concept.title,
+                "score": score,
+                "status": status,
+                "size": 20 + int(score * 30),
+                "x": pos["x"],
+                "y": pos["y"],
+                "layout_source": pos["source"],
+            })
         frames.append({
             "index": idx,
             "timestamp": ev.timestamp,
             "event_kind": ev.kind,
-            "concept_id": ev.concept_id,
+            "focus_concept_id": ev.concept_id,
-            "scores": dict(running),
+            "nodes": nodes,
+            "edges": static_edges,
+            "cross_pack_links": static_cross,
         })
     if not frames:
-        frames.append({"index": 0, "timestamp": "", "event_kind": "empty", "concept_id": "", "scores": dict(running)})
+        nodes = []
+        for c in pack.concepts:
+            pos = layout[c.id]
+            nodes.append({
+                "id": c.id,
+                "title": c.title,
+                "score": 0.0,
+                "status": "available" if not c.prerequisites else "locked",
+                "size": 20,
+                "x": pos["x"],
+                "y": pos["y"],
+                "layout_source": pos["source"],
+            })
+        frames.append({"index": 0, "timestamp": "", "event_kind": "empty", "focus_concept_id": "", "nodes": nodes, "edges": static_edges, "cross_pack_links": static_cross})
     return frames

src/didactopus/export_svg.py

@@ -18,6 +18,10 @@ def frame_to_svg(frame: dict, width: int = 960, height: int = 560) -> str:
         dst = next((n for n in frame["nodes"] if n["id"] == edge["target"]), None)
         if src and dst:
             parts.append(f'<line x1="{src["x"]}" y1="{src["y"]}" x2="{dst["x"]}" y2="{dst["y"]}" stroke="#b8c2cf" stroke-width="3"/>')
+    for edge in frame.get("cross_pack_links", []):
+        src = next((n for n in frame["nodes"] if n["id"] == edge["source"]), None)
+        if src:
+            parts.append(f'<line x1="{src["x"]}" y1="{src["y"]}" x2="{src["x"]+120}" y2="{src["y"]-60}" stroke="#cc4bc2" stroke-width="2" stroke-dasharray="8 6"/>')
     for node in frame.get("nodes", []):
         fill = color_for_status(node["status"])
         parts.append(f'<circle cx="{node["x"]}" cy="{node["y"]}" r="{node["size"]}" fill="{fill}" />')
@@ -33,12 +37,3 @@ def export_svg_frames(payload_path: str, out_dir: str):
     for frame in payload.get("frames", []):
         svg = frame_to_svg(frame)
         (out / f'frame_{frame["index"]:04d}.svg').write_text(svg, encoding="utf-8")
-
-def main():
-    import argparse
-    parser = argparse.ArgumentParser()
-    parser.add_argument("payload_json")
-    parser.add_argument("out_dir")
-    args = parser.parse_args()
-    export_svg_frames(args.payload_json, args.out_dir)
-    print(f"Exported SVG frames to {args.out_dir}")

src/didactopus/models.py

@@ -1,9 +1,5 @@
 from __future__ import annotations
 from pydantic import BaseModel, Field
-from typing import Literal
-
-EvidenceKind = Literal["checkpoint", "project", "exercise", "review"]
-PolicyLane = Literal["personal", "community"]
 
 class TokenPair(BaseModel):
     access_token: str
@@ -12,58 +8,22 @@ class TokenPair(BaseModel):
     username: str
     role: str
 
-class ServiceToken(BaseModel):
-    access_token: str
-    token_type: str = "bearer"
-    service_account_name: str
-    scopes: list[str]
-
 class LoginRequest(BaseModel):
     username: str
     password: str
 
-class ServiceAccountLoginRequest(BaseModel):
-    name: str
-    secret: str
-
-class ServiceAccountCreateRequest(BaseModel):
-    name: str
-    description: str = ""
-    scopes: list[str] = Field(default_factory=list)
-
-class ServiceAccountRotateRequest(BaseModel):
-    name: str
-
-class ServiceAccountStateRequest(BaseModel):
-    is_active: bool
-
 class RefreshRequest(BaseModel):
     refresh_token: str
 
-class DeploymentPolicyProfile(BaseModel):
+class GraphPosition(BaseModel):
-    profile_name: str
+    x: float
-    default_personal_lane_enabled: bool = True
+    y: float
-    default_community_lane_enabled: bool = True
-    community_publish_requires_approval: bool = True
-    personal_publish_direct: bool = True
-    reviewer_assignment_required: bool = False
-    description: str = ""
 
-class AgentCapabilityManifest(BaseModel):
+class CrossPackLink(BaseModel):
-    supports_pack_listing: bool = True
+    source_concept_id: str
-    supports_pack_write_personal: bool = True
+    target_pack_id: str
-    supports_pack_submit_community: bool = True
+    target_concept_id: str
-    supports_recommendations: bool = True
+    relationship: str = "related"
-    supports_learner_state_read: bool = True
-    supports_learner_state_write: bool = True
-    supports_evaluator_jobs: bool = True
-    supports_governance_endpoints: bool = True
-    supports_review_queue: bool = True
-    supports_service_accounts: bool = True
-    supports_agent_audit_logs: bool = True
-    supports_service_account_rotation: bool = True
-    supports_learner_runs: bool = True
-    supports_learning_animation: bool = True
 
 class PackConcept(BaseModel):
     id: str
@@ -71,13 +31,8 @@ class PackConcept(BaseModel):
     prerequisites: list[str] = Field(default_factory=list)
     masteryDimension: str = "mastery"
     exerciseReward: str = ""
-
+    position: GraphPosition | None = None
-class PackCompliance(BaseModel):
+    cross_pack_links: list[CrossPackLink] = Field(default_factory=list)
-    sources: int = 0
-    attributionRequired: bool = False
-    shareAlikeRequired: bool = False
-    noncommercialOnly: bool = False
-    flags: list[str] = Field(default_factory=list)
 
 class PackData(BaseModel):
     id: str
@@ -86,32 +41,12 @@ class PackData(BaseModel):
     level: str = "novice-friendly"
     concepts: list[PackConcept] = Field(default_factory=list)
     onboarding: dict = Field(default_factory=dict)
-    compliance: PackCompliance = Field(default_factory=PackCompliance)
+    compliance: dict = Field(default_factory=dict)
-
-class CreatePackRequest(BaseModel):
-    pack: PackData
-    policy_lane: PolicyLane = "personal"
-    is_published: bool = False
-    change_summary: str = ""
 
 class CreateLearnerRequest(BaseModel):
     learner_id: str
     display_name: str = ""
 
-class LearnerRunCreateRequest(BaseModel):
-    learner_id: str
-    pack_id: str
-    title: str = ""
-    actor_kind: str = "human"
-
-class WorkflowEventCreateRequest(BaseModel):
-    run_id: int
-    learner_id: str
-    event_type: str
-    concept_id: str = ""
-    timestamp: str
-    detail: dict = Field(default_factory=dict)
-
 class MasteryRecord(BaseModel):
     concept_id: str
     dimension: str
@@ -126,7 +61,7 @@ class EvidenceEvent(BaseModel):
     score: float
     confidence_hint: float = 0.5
     timestamp: str
-    kind: EvidenceKind = "exercise"
+    kind: str = "exercise"
     source_id: str = ""
 
 class LearnerState(BaseModel):
@@ -134,25 +69,9 @@ class LearnerState(BaseModel):
     records: list[MasteryRecord] = Field(default_factory=list)
     history: list[EvidenceEvent] = Field(default_factory=list)
 
-class EvaluatorSubmission(BaseModel):
+class MediaRenderRequest(BaseModel):
-    pack_id: str
-    concept_id: str
-    submitted_text: str
-    kind: str = "checkpoint"
-
-class EvaluatorJobStatus(BaseModel):
-    job_id: int
-    status: str
-    result_score: float | None = None
-    result_confidence_hint: float | None = None
-    result_notes: str = ""
-
-class AgentLearnerPlanRequest(BaseModel):
     learner_id: str
     pack_id: str
-
+    format: str = "gif"
-class AgentLearnerPlanResponse(BaseModel):
+    fps: int = 2
-    learner_id: str
+    theme: str = "default"
-    pack_id: str
-    next_cards: list[dict] = Field(default_factory=list)
-    suggested_actions: list[str] = Field(default_factory=list)

src/didactopus/orm.py

@@ -10,49 +10,6 @@ class UserORM(Base):
     role: Mapped[str] = mapped_column(String(50), default="learner")
     is_active: Mapped[bool] = mapped_column(Boolean, default=True)
 
-class ServiceAccountORM(Base):
-    __tablename__ = "service_accounts"
-    id: Mapped[int] = mapped_column(Integer, primary_key=True)
-    name: Mapped[str] = mapped_column(String(120), unique=True, index=True)
-    owner_user_id: Mapped[int | None] = mapped_column(ForeignKey("users.id"), nullable=True)
-    description: Mapped[str] = mapped_column(Text, default="")
-    scopes_json: Mapped[str] = mapped_column(Text, default="[]")
-    secret_hash: Mapped[str] = mapped_column(String(255))
-    is_active: Mapped[bool] = mapped_column(Boolean, default=True)
-
-class AgentAuditLogORM(Base):
-    __tablename__ = "agent_audit_logs"
-    id: Mapped[int] = mapped_column(Integer, primary_key=True)
-    service_account_id: Mapped[int] = mapped_column(ForeignKey("service_accounts.id"), index=True)
-    service_account_name: Mapped[str] = mapped_column(String(120), index=True)
-    action: Mapped[str] = mapped_column(String(120), index=True)
-    target: Mapped[str] = mapped_column(String(255), default="")
-    outcome: Mapped[str] = mapped_column(String(50), default="ok")
-    detail_json: Mapped[str] = mapped_column(Text, default="{}")
-    created_at: Mapped[str] = mapped_column(String(100), default="")
-
-class LearnerRunORM(Base):
-    __tablename__ = "learner_runs"
-    id: Mapped[int] = mapped_column(Integer, primary_key=True)
-    learner_id: Mapped[str] = mapped_column(String(100), index=True)
-    pack_id: Mapped[str] = mapped_column(String(100), index=True)
-    actor_kind: Mapped[str] = mapped_column(String(50), default="human")
-    actor_name: Mapped[str] = mapped_column(String(120), default="")
-    title: Mapped[str] = mapped_column(String(255), default="")
-    status: Mapped[str] = mapped_column(String(50), default="running")
-    started_at: Mapped[str] = mapped_column(String(100), default="")
-    ended_at: Mapped[str] = mapped_column(String(100), default="")
-
-class WorkflowEventORM(Base):
-    __tablename__ = "workflow_events"
-    id: Mapped[int] = mapped_column(Integer, primary_key=True)
-    run_id: Mapped[int] = mapped_column(ForeignKey("learner_runs.id"), index=True)
-    learner_id: Mapped[str] = mapped_column(String(100), index=True)
-    event_type: Mapped[str] = mapped_column(String(100), index=True)
-    concept_id: Mapped[str] = mapped_column(String(100), default="")
-    timestamp: Mapped[str] = mapped_column(String(100), default="")
-    detail_json: Mapped[str] = mapped_column(Text, default="{}")
-
 class RefreshTokenORM(Base):
     __tablename__ = "refresh_tokens"
     id: Mapped[int] = mapped_column(Integer, primary_key=True)
@@ -69,10 +26,6 @@ class PackORM(Base):
     subtitle: Mapped[str] = mapped_column(Text, default="")
     level: Mapped[str] = mapped_column(String(100), default="novice-friendly")
     data_json: Mapped[str] = mapped_column(Text)
-    validation_json: Mapped[str] = mapped_column(Text, default="{}")
-    provenance_json: Mapped[str] = mapped_column(Text, default="{}")
-    governance_state: Mapped[str] = mapped_column(String(50), default="draft")
-    current_version: Mapped[int] = mapped_column(Integer, default=1)
     is_published: Mapped[bool] = mapped_column(Boolean, default=False)
 
 class LearnerORM(Base):
@@ -103,16 +56,3 @@ class EvidenceEventORM(Base):
     timestamp: Mapped[str] = mapped_column(String(100), default="")
     kind: Mapped[str] = mapped_column(String(50), default="exercise")
     source_id: Mapped[str] = mapped_column(String(255), default="")
-
-class EvaluatorJobORM(Base):
-    __tablename__ = "evaluator_jobs"
-    id: Mapped[int] = mapped_column(Integer, primary_key=True)
-    learner_id: Mapped[str] = mapped_column(ForeignKey("learners.id"), index=True)
-    pack_id: Mapped[str] = mapped_column(ForeignKey("packs.id"), index=True)
-    concept_id: Mapped[str] = mapped_column(String(100), index=True)
-    submitted_text: Mapped[str] = mapped_column(Text, default="")
-    status: Mapped[str] = mapped_column(String(50), default="queued")
-    result_score: Mapped[float | None] = mapped_column(Float, nullable=True)
-    result_confidence_hint: Mapped[float | None] = mapped_column(Float, nullable=True)
-    result_notes: Mapped[str] = mapped_column(Text, default="")
-    trace_json: Mapped[str] = mapped_column(Text, default="{}")

src/didactopus/render_bundle.py

@@ -23,3 +23,14 @@ def make_render_bundle(payload_json: str, out_dir: str, fps: int = 2, fmt: str =
         f"ffmpeg -framerate {fps} -pattern_type glob -i '{frames_dir}/*.svg' '{out / ('animation.' + fmt)}'",
     ])
     (out / "render.sh").write_text(script, encoding="utf-8")
+
+def main():
+    import argparse
+    parser = argparse.ArgumentParser()
+    parser.add_argument("payload_json")
+    parser.add_argument("out_dir")
+    parser.add_argument("--fps", type=int, default=2)
+    parser.add_argument("--format", default="gif", choices=["gif", "mp4"])
+    args = parser.parse_args()
+    make_render_bundle(args.payload_json, args.out_dir, fps=args.fps, fmt=args.format)
+    print(f"Render bundle written to {args.out_dir}")

src/didactopus/repository.py

@@ -1,28 +1,10 @@
 from __future__ import annotations
 import json
-from datetime import datetime, timezone
 from sqlalchemy import select
 from .db import SessionLocal
-from .orm import UserORM, ServiceAccountORM, AgentAuditLogORM, LearnerRunORM, WorkflowEventORM, RefreshTokenORM, PackORM, LearnerORM, MasteryRecordORM, EvidenceEventORM, EvaluatorJobORM
+from .orm import UserORM, RefreshTokenORM, PackORM, LearnerORM, MasteryRecordORM, EvidenceEventORM
-from .models import PackData, LearnerState, MasteryRecord, EvidenceEvent, DeploymentPolicyProfile
+from .models import PackData, LearnerState, MasteryRecord, EvidenceEvent
-from .auth import verify_password, hash_password
+from .auth import verify_password
-from .config import load_settings
-
-settings = load_settings()
-
-def now_iso() -> str:
-    return datetime.now(timezone.utc).isoformat()
-
-def deployment_policy_profile() -> DeploymentPolicyProfile:
-    return DeploymentPolicyProfile(
-        profile_name=settings.deployment_policy_profile,
-        default_personal_lane_enabled=True,
-        default_community_lane_enabled=True,
-        community_publish_requires_approval=True,
-        personal_publish_direct=True,
-        reviewer_assignment_required=False,
-        description="Deployment policy scaffold."
-    )
 
 def get_user_by_username(username: str):
     with SessionLocal() as db:
@@ -38,153 +20,6 @@ def authenticate_user(username: str, password: str):
         return None
     return user
 
-def create_service_account(name: str, owner_user_id: int | None, description: str, scopes: list[str], secret: str):
-    with SessionLocal() as db:
-        sa = ServiceAccountORM(
-            name=name,
-            owner_user_id=owner_user_id,
-            description=description,
-            scopes_json=json.dumps(scopes),
-            secret_hash=hash_password(secret),
-            is_active=True,
-        )
-        db.add(sa)
-        db.commit()
-        db.refresh(sa)
-        return sa
-
-def list_service_accounts():
-    with SessionLocal() as db:
-        rows = db.execute(select(ServiceAccountORM).order_by(ServiceAccountORM.id)).scalars().all()
-        return [{"id": r.id, "name": r.name, "owner_user_id": r.owner_user_id, "description": r.description, "scopes": json.loads(r.scopes_json or "[]"), "is_active": r.is_active} for r in rows]
-
-def get_service_account_by_name(name: str):
-    with SessionLocal() as db:
-        return db.execute(select(ServiceAccountORM).where(ServiceAccountORM.name == name)).scalar_one_or_none()
-
-def authenticate_service_account(name: str, secret: str):
-    sa = get_service_account_by_name(name)
-    if sa is None or not sa.is_active or not verify_password(secret, sa.secret_hash):
-        return None
-    return sa
-
-def rotate_service_account_secret(name: str, new_secret: str):
-    with SessionLocal() as db:
-        sa = db.execute(select(ServiceAccountORM).where(ServiceAccountORM.name == name)).scalar_one_or_none()
-        if sa is None:
-            return None
-        sa.secret_hash = hash_password(new_secret)
-        db.commit()
-        db.refresh(sa)
-        return sa
-
-def set_service_account_active(name: str, is_active: bool):
-    with SessionLocal() as db:
-        sa = db.execute(select(ServiceAccountORM).where(ServiceAccountORM.name == name)).scalar_one_or_none()
-        if sa is None:
-            return None
-        sa.is_active = is_active
-        db.commit()
-        db.refresh(sa)
-        return sa
-
-def add_agent_audit_log(service_account_id: int, service_account_name: str, action: str, target: str, outcome: str, detail: dict):
-    with SessionLocal() as db:
-        db.add(AgentAuditLogORM(
-            service_account_id=service_account_id,
-            service_account_name=service_account_name,
-            action=action,
-            target=target,
-            outcome=outcome,
-            detail_json=json.dumps(detail),
-            created_at=now_iso(),
-        ))
-        db.commit()
-
-def list_agent_audit_logs(limit: int = 200):
-    with SessionLocal() as db:
-        rows = db.execute(select(AgentAuditLogORM).order_by(AgentAuditLogORM.id.desc())).scalars().all()[:limit]
-        return [{
-            "id": r.id,
-            "service_account_id": r.service_account_id,
-            "service_account_name": r.service_account_name,
-            "action": r.action,
-            "target": r.target,
-            "outcome": r.outcome,
-            "detail": json.loads(r.detail_json or "{}"),
-            "created_at": r.created_at,
-        } for r in rows]
-
-def create_learner_run(learner_id: str, pack_id: str, actor_kind: str, actor_name: str, title: str):
-    with SessionLocal() as db:
-        row = LearnerRunORM(
-            learner_id=learner_id,
-            pack_id=pack_id,
-            actor_kind=actor_kind,
-            actor_name=actor_name,
-            title=title,
-            status="running",
-            started_at=now_iso(),
-            ended_at="",
-        )
-        db.add(row)
-        db.commit()
-        db.refresh(row)
-        return row.id
-
-def end_learner_run(run_id: int):
-    with SessionLocal() as db:
-        row = db.get(LearnerRunORM, run_id)
-        if row is None:
-            return None
-        row.status = "completed"
-        row.ended_at = now_iso()
-        db.commit()
-        return row
-
-def list_learner_runs(learner_id: str):
-    with SessionLocal() as db:
-        rows = db.execute(select(LearnerRunORM).where(LearnerRunORM.learner_id == learner_id).order_by(LearnerRunORM.id.desc())).scalars().all()
-        return [{
-            "run_id": r.id,
-            "learner_id": r.learner_id,
-            "pack_id": r.pack_id,
-            "actor_kind": r.actor_kind,
-            "actor_name": r.actor_name,
-            "title": r.title,
-            "status": r.status,
-            "started_at": r.started_at,
-            "ended_at": r.ended_at,
-        } for r in rows]
-
-def add_workflow_event(run_id: int, learner_id: str, event_type: str, concept_id: str, timestamp: str, detail: dict):
-    with SessionLocal() as db:
-        row = WorkflowEventORM(
-            run_id=run_id,
-            learner_id=learner_id,
-            event_type=event_type,
-            concept_id=concept_id,
-            timestamp=timestamp,
-            detail_json=json.dumps(detail),
-        )
-        db.add(row)
-        db.commit()
-        db.refresh(row)
-        return row.id
-
-def list_workflow_events(run_id: int):
-    with SessionLocal() as db:
-        rows = db.execute(select(WorkflowEventORM).where(WorkflowEventORM.run_id == run_id).order_by(WorkflowEventORM.id)).scalars().all()
-        return [{
-            "id": r.id,
-            "run_id": r.run_id,
-            "learner_id": r.learner_id,
-            "event_type": r.event_type,
-            "concept_id": r.concept_id,
-            "timestamp": r.timestamp,
-            "detail": json.loads(r.detail_json or "{}"),
-        } for r in rows]
-
 def store_refresh_token(user_id: int, token_id: str):
     with SessionLocal() as db:
         db.add(RefreshTokenORM(user_id=user_id, token_id=token_id, is_revoked=False))
@@ -225,9 +60,7 @@ def get_pack_row(pack_id: str):
     with SessionLocal() as db:
         return db.get(PackORM, pack_id)
 
-def upsert_pack(pack: PackData, submitted_by_user_id: int, policy_lane: str = "personal", is_published: bool = False, change_summary: str = ""):
+def upsert_pack(pack: PackData, submitted_by_user_id: int, policy_lane: str = "personal", is_published: bool = False):
-    validation = {"ok": len(pack.concepts) > 0, "warnings": [] if len(pack.concepts) > 0 else ["Pack has no concepts."], "errors": []}
-    provenance = {"source_count": pack.compliance.sources, "restrictive_flags": list(pack.compliance.flags)}
     with SessionLocal() as db:
         row = db.get(PackORM, pack.id)
         payload = json.dumps(pack.model_dump())
@@ -240,10 +73,6 @@ def upsert_pack(pack: PackData, submitted_by_user_id: int, policy_lane: str = "p
                 subtitle=pack.subtitle,
                 level=pack.level,
                 data_json=payload,
-                validation_json=json.dumps(validation),
-                provenance_json=json.dumps(provenance),
-                governance_state="personal_ready" if policy_lane == "personal" else "draft",
-                current_version=1,
                 is_published=is_published if policy_lane == "personal" else False,
             )
             db.add(row)
@@ -254,9 +83,6 @@ def upsert_pack(pack: PackData, submitted_by_user_id: int, policy_lane: str = "p
             row.subtitle = pack.subtitle
             row.level = pack.level
             row.data_json = payload
-            row.validation_json = json.dumps(validation)
-            row.provenance_json = json.dumps(provenance)
-            row.current_version += 1
             if policy_lane == "personal":
                 row.is_published = is_published
         db.commit()
@@ -292,32 +118,3 @@ def save_learner_state(state: LearnerState):
             db.add(EvidenceEventORM(learner_id=state.learner_id, concept_id=h.concept_id, dimension=h.dimension, score=h.score, confidence_hint=h.confidence_hint, timestamp=h.timestamp, kind=h.kind, source_id=h.source_id))
         db.commit()
     return state
-
-def create_evaluator_job(learner_id: str, pack_id: str, concept_id: str, submitted_text: str):
-    with SessionLocal() as db:
-        job = EvaluatorJobORM(learner_id=learner_id, pack_id=pack_id, concept_id=concept_id, submitted_text=submitted_text, status="queued", trace_json=json.dumps({"notes": ["Job queued"]}))
-        db.add(job)
-        db.commit()
-        db.refresh(job)
-        return job.id
-
-def list_evaluator_jobs_for_learner(learner_id: str):
-    with SessionLocal() as db:
-        return db.execute(select(EvaluatorJobORM).where(EvaluatorJobORM.learner_id == learner_id).order_by(EvaluatorJobORM.id.desc())).scalars().all()
-
-def get_evaluator_job(job_id: int):
-    with SessionLocal() as db:
-        return db.get(EvaluatorJobORM, job_id)
-
-def update_evaluator_job(job_id: int, status: str, score: float | None = None, confidence_hint: float | None = None, notes: str = "", trace: dict | None = None):
-    with SessionLocal() as db:
-        job = db.get(EvaluatorJobORM, job_id)
-        if job is None:
-            return
-        job.status = status
-        job.result_score = score
-        job.result_confidence_hint = confidence_hint
-        job.result_notes = notes
-        if trace is not None:
-            job.trace_json = json.dumps(trace)
-        db.commit()

src/didactopus/seed.py

@@ -4,7 +4,7 @@ from .db import Base, engine, SessionLocal
 from .orm import UserORM
 from .auth import hash_password
 from .repository import upsert_pack, create_learner
-from .models import PackData, PackConcept, PackCompliance
+from .models import PackData, PackConcept, GraphPosition, CrossPackLink
 
 def main():
     Base.metadata.create_all(bind=engine)
@@ -20,14 +20,15 @@ def main():
             subtitle="Personal pack example.",
             level="novice-friendly",
             concepts=[
-                PackConcept(id="intro", title="Intro", prerequisites=[], masteryDimension="mastery", exerciseReward="Intro marker"),
+                PackConcept(id="intro", title="Intro", prerequisites=[], position=GraphPosition(x=150, y=120)),
-                PackConcept(id="second", title="Second concept", prerequisites=["intro"], masteryDimension="mastery", exerciseReward="Second marker"),
+                PackConcept(id="second", title="Second concept", prerequisites=["intro"], position=GraphPosition(x=420, y=120)),
+                PackConcept(id="third", title="Third concept", prerequisites=["second"], position=GraphPosition(x=700, y=120), cross_pack_links=[CrossPackLink(source_concept_id="third", target_pack_id="advanced-pack", target_concept_id="adv-1", relationship="next_pack")]),
+                PackConcept(id="branch", title="Branch concept", prerequisites=["intro"], position=GraphPosition(x=420, y=320)),
             ],
-            onboarding={"headline":"Start privately","body":"Personal pack lane.","checklist":["Create pack","Use pack"]},
+            onboarding={"headline":"Start privately"},
-            compliance=PackCompliance()
+            compliance={}
         ),
         submitted_by_user_id=1,
         policy_lane="personal",
         is_published=True,
-        change_summary="Initial personal pack"
     )

tests/test_scaffold_files.py

@@ -3,5 +3,6 @@ from pathlib import Path
 def test_scaffold_files_exist():
     assert Path("src/didactopus/api.py").exists()
     assert Path("src/didactopus/repository.py").exists()
+    assert Path("src/didactopus/export_svg.py").exists()
+    assert Path("src/didactopus/render_bundle.py").exists()
     assert Path("webui/src/App.jsx").exists()
-    assert Path("webui/src/api.js").exists()

webui/index.html

@@ -3,10 +3,8 @@
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>Didactopus Live Learner Prototype</title>
+    <title>Didactopus Media Rendering</title>
     <script type="module" src="/src/main.jsx"></script>
   </head>
-  <body>
+  <body><div id="root"></div></body>
-    <div id="root"></div>
-  </body>
 </html>

webui/package.json

@@ -1,17 +1,9 @@
 {
-  "name": "didactopus-live-learner-ui",
+  "name": "didactopus-media-rendering-ui",
   "private": true,
   "version": "0.1.0",
   "type": "module",
-  "scripts": {
+  "scripts": { "dev": "vite", "build": "vite build" },
-    "dev": "vite",
+  "dependencies": { "react": "^18.3.1", "react-dom": "^18.3.1" },
-    "build": "vite build"
+  "devDependencies": { "vite": "^5.4.0" }
-  },
-  "dependencies": {
-    "react": "^18.3.1",
-    "react-dom": "^18.3.1"
-  },
-  "devDependencies": {
-    "vite": "^5.4.0"
-  }
 }

webui/src/App.jsx

@@ -1,236 +1,145 @@
-import React, { useMemo, useState } from "react";
+import React, { useEffect, useState } from "react";
-import { domains } from "./domainData";
+import { login, refresh, fetchPacks, fetchLearnerState, putLearnerState, fetchGraphAnimation, createRenderBundle } from "./api";
-import {
+import { loadAuth, saveAuth, clearAuth } from "./authStore";
-  applyEvidence,
-  buildMasteryMap,
-  claimReadiness,
-  milestoneMessages,
-  progressPercent,
-  recommendNext,
-  starterLearnerState
-} from "./engine";
 
-function DomainCard({ domain, selected, onSelect }) {
+function LoginView({ onAuth }) {
-  return (
+  const [username, setUsername] = useState("wesley");
-    <button className={`domain-card ${selected ? "selected" : ""}`} onClick={() => onSelect(domain.id)}>
+  const [password, setPassword] = useState("demo-pass");
-      <div className="domain-title">{domain.title}</div>
+  const [error, setError] = useState("");
-      <div className="domain-subtitle">{domain.subtitle}</div>
+  async function doLogin() {
-      <div className="domain-meta">
+    try {
-        <span>{domain.level}</span>
+      const result = await login(username, password);
-        <span>{domain.concepts.length} concepts</span>
+      saveAuth(result);
-      </div>
+      onAuth(result);
-    </button>
+    } catch { setError("Login failed"); }
-  );
   }
-
-function OnboardingPanel({ domain, learnerName }) {
   return (
-    <section className="card">
+    <div className="page narrow-page">
-      <h2>First-session onboarding</h2>
+      <section className="card narrow">
-      <h3>{domain.onboarding.headline}</h3>
+        <h1>Didactopus login</h1>
-      <p>{domain.onboarding.body}</p>
+        <label>Username<input value={username} onChange={(e) => setUsername(e.target.value)} /></label>
-      <p className="muted">Learner: {learnerName || "Unnamed learner"}</p>
+        <label>Password<input type="password" value={password} onChange={(e) => setPassword(e.target.value)} /></label>
-      <ul>
+        <button className="primary" onClick={doLogin}>Login</button>
-        {domain.onboarding.checklist.map((item, idx) => <li key={idx}>{item}</li>)}
+        {error ? <div className="error">{error}</div> : null}
-      </ul>
       </section>
-  );
-}
-
-function NextStepCard({ step, onSimulate }) {
-  return (
-    <div className="step-card">
-      <div className="step-header">
-        <div>
-          <h3>{step.title}</h3>
-          <div className="muted">{step.minutes} minutes</div>
     </div>
-        <div className="reward-pill">{step.reward}</div>
-      </div>
-      <p>{step.reason}</p>
-      <details>
-        <summary>Why this is recommended</summary>
-        <ul>
-          {step.why.map((item, idx) => <li key={idx}>{item}</li>)}
-        </ul>
-      </details>
-      <button className="primary" onClick={() => onSimulate(step)}>Simulate completing this step</button>
-    </div>
-  );
-}
-
-function MasteryMap({ nodes }) {
-  return (
-    <section className="card">
-      <h2>Visible mastery map</h2>
-      <div className="map-grid">
-        {nodes.map((node) => (
-          <div key={node.id} className={`map-node ${node.status}`}>
-            <div className="node-label">{node.label}</div>
-            <div className="node-status">{node.status}</div>
-          </div>
-        ))}
-      </div>
-    </section>
-  );
-}
-
-function ProgressPanel({ progress, readiness }) {
-  return (
-    <section className="card">
-      <h2>Progress</h2>
-      <div className="progress-wrap">
-        <div className="progress-label">Mastery progress</div>
-        <div className="progress-bar"><div className="progress-fill" style={{ width: `${progress}%` }} /></div>
-        <div className="muted">{progress}%</div>
-      </div>
-      <div className={`readiness-box ${readiness.ready ? "ready" : ""}`}>
-        <strong>{readiness.ready ? "Usable expertise threshold met" : "Still building toward usable expertise"}</strong>
-        <div className="muted">Mastered concepts: {readiness.mastered}</div>
-        <div className="muted">Average score: {readiness.avgScore.toFixed(2)}</div>
-        <div className="muted">Average confidence: {readiness.avgConfidence.toFixed(2)}</div>
-      </div>
-    </section>
-  );
-}
-
-function MilestonePanel({ milestones, lastReward }) {
-  return (
-    <section className="card">
-      <h2>Milestones and rewards</h2>
-      {lastReward ? <div className="reward-banner">{lastReward}</div> : null}
-      <ul>
-        {milestones.map((m, idx) => <li key={idx}>{m}</li>)}
-      </ul>
-    </section>
-  );
-}
-
-function CompliancePanel({ compliance }) {
-  return (
-    <section className="card">
-      <h2>Source attribution and compliance</h2>
-      <div className="compliance-grid">
-        <div><strong>Sources</strong><br />{compliance.sources}</div>
-        <div><strong>Attribution</strong><br />{compliance.attributionRequired ? "required" : "not required"}</div>
-        <div><strong>Share-alike</strong><br />{compliance.shareAlikeRequired ? "yes" : "no"}</div>
-        <div><strong>Noncommercial</strong><br />{compliance.noncommercialOnly ? "yes" : "no"}</div>
-      </div>
-      <div className="flag-row">
-        {compliance.flags.length ? compliance.flags.map((f) => <span className="flag" key={f}>{f}</span>) : <span className="muted">No extra flags</span>}
-      </div>
-      <p className="muted">
-        Provenance-sensitive packs should remain inspectable so that learners and maintainers do not have to guess at reuse constraints.
-      </p>
-    </section>
-  );
-}
-
-function EvidenceLog({ history }) {
-  return (
-    <section className="card">
-      <h2>Evidence log</h2>
-      {history.length === 0 ? (
-        <div className="muted">No evidence recorded yet.</div>
-      ) : (
-        <ul>
-          {history.slice().reverse().map((item, idx) => (
-            <li key={idx}>
-              {item.concept_id} · score {item.score.toFixed(2)} · confidence hint {item.confidence_hint.toFixed(2)}
-            </li>
-          ))}
-        </ul>
-      )}
-    </section>
   );
 }
 
 export default function App() {
-  const [learnerName, setLearnerName] = useState("Wesley");
+  const [auth, setAuth] = useState(loadAuth());
-  const [selectedDomainId, setSelectedDomainId] = useState(domains[0].id);
+  const [packs, setPacks] = useState([]);
-  const [domainStates, setDomainStates] = useState(() =>
+  const [learnerId] = useState("wesley-learner");
-    Object.fromEntries(domains.map((d) => [d.id, starterLearnerState(`learner-${d.id}`)]))
+  const [packId, setPackId] = useState("");
-  );
+  const [bundle, setBundle] = useState(null);
-  const [lastReward, setLastReward] = useState("");
+  const [format, setFormat] = useState("gif");
+  const [fps, setFps] = useState(2);
+  const [message, setMessage] = useState("");
 
-  const domain = useMemo(() => domains.find((d) => d.id === selectedDomainId) || domains[0], [selectedDomainId]);
+  async function refreshAuthToken() {
-  const learnerState = domainStates[selectedDomainId];
+    if (!auth?.refresh_token) return null;
-
+    try {
-  const masteryMap = useMemo(() => buildMasteryMap(learnerState, domain), [learnerState, domain]);
+      const result = await refresh(auth.refresh_token);
-  const progress = useMemo(() => progressPercent(learnerState, domain), [learnerState, domain]);
+      saveAuth(result);
-  const recs = useMemo(() => recommendNext(learnerState, domain), [learnerState, domain]);
+      setAuth(result);
-  const milestones = useMemo(() => milestoneMessages(learnerState, domain), [learnerState, domain]);
+      return result;
-  const readiness = useMemo(() => claimReadiness(learnerState, domain), [learnerState, domain]);
+    } catch {
-
+      clearAuth();
-  function simulateStep(step) {
+      setAuth(null);
-    const timestamp = new Date().toISOString();
+      return null;
-    const updated = applyEvidence(learnerState, {
+    }
-      concept_id: step.conceptId,
-      dimension: "mastery",
-      score: step.scoreHint,
-      confidence_hint: step.confidenceHint,
-      timestamp,
-      kind: "checkpoint",
-      source_id: `ui-${step.id}`
-    });
-    setDomainStates((prev) => ({ ...prev, [selectedDomainId]: updated }));
-    setLastReward(step.reward);
   }
 
-  function resetDomain() {
+  async function guarded(fn) {
-    setDomainStates((prev) => ({ ...prev, [selectedDomainId]: starterLearnerState(`learner-${selectedDomainId}`) }));
+    try { return await fn(auth.access_token); }
-    setLastReward("");
+    catch {
+      const next = await refreshAuthToken();
+      if (!next) throw new Error("auth failed");
+      return await fn(next.access_token);
     }
+  }
+
+  useEffect(() => {
+    if (!auth) return;
+    async function load() {
+      const p = await guarded((token) => fetchPacks(token));
+      setPacks(p);
+      setPackId(p[0]?.id || "");
+    }
+    load();
+  }, [auth]);
+
+  async function generateDemo() {
+    let state = await guarded((token) => fetchLearnerState(token, learnerId));
+    const base = Date.now();
+    const events = [
+      ["intro", 0.30, "exercise", 0],
+      ["intro", 0.78, "review", 1000],
+      ["second", 0.42, "exercise", 2000],
+      ["second", 0.72, "review", 3000],
+      ["third", 0.25, "exercise", 4000],
+      ["branch", 0.60, "exercise", 5000],
+    ];
+    const latest = {}
+    for (const [cid, score, kind, offset] of events) {
+      const ts = new Date(base + offset).toISOString();
+      state.history.push({ concept_id: cid, dimension: "mastery", score, confidence_hint: 0.6, timestamp: ts, kind, source_id: `demo-${cid}-${offset}` });
+      latest[cid] = { concept_id: cid, dimension: "mastery", score, confidence: Math.min(0.9, score), evidence_count: (latest[cid]?.evidence_count || 0) + 1, last_updated: ts };
+    }
+    state.records = Object.values(latest);
+    await guarded((token) => putLearnerState(token, learnerId, state));
+    setMessage("Demo state generated.");
+  }
+
+  async function renderNow() {
+    const result = await guarded((token) => createRenderBundle(token, learnerId, packId, { learner_id: learnerId, pack_id: packId, format, fps, theme: "default" }));
+    setBundle(result);
+    setMessage("Render bundle created.");
+  }
+
+  if (!auth) return <LoginView onAuth={setAuth} />;
 
   return (
     <div className="page">
       <header className="hero">
         <div>
-          <h1>Didactopus learner prototype</h1>
+          <h1>Didactopus media rendering pipeline</h1>
-          <p>
+          <p>Create GIF/MP4-ready render bundles from animated learning graphs.</p>
-            Pick a topic, get a clear onboarding path, see live progress, and inspect exactly why the system recommends each next step.
+          <div className="muted">{message}</div>
-          </p>
         </div>
-        <div className="hero-controls">
+        <div className="controls">
-          <label>
+          <label>Pack
-            Learner name
+            <select value={packId} onChange={(e) => setPackId(e.target.value)}>
-            <input value={learnerName} onChange={(e) => setLearnerName(e.target.value)} />
+              {packs.map((p) => <option key={p.id} value={p.id}>{p.title}</option>)}
+            </select>
           </label>
-          <button onClick={resetDomain}>Reset selected domain</button>
+          <label>Format
+            <select value={format} onChange={(e) => setFormat(e.target.value)}>
+              <option value="gif">GIF</option>
+              <option value="mp4">MP4</option>
+            </select>
+          </label>
+          <label>FPS
+            <input type="number" value={fps} onChange={(e) => setFps(Number(e.target.value || 2))} />
+          </label>
+          <button onClick={generateDemo}>Generate demo state</button>
+          <button onClick={renderNow}>Create render bundle</button>
+          <button onClick={() => { clearAuth(); setAuth(null); }}>Logout</button>
         </div>
       </header>
 
-      <section className="domain-grid">
+      <main className="layout twocol">
-        {domains.map((d) => (
-          <DomainCard key={d.id} domain={d} selected={d.id === domain.id} onSelect={setSelectedDomainId} />
-        ))}
-      </section>
-
-      <main className="layout">
-        <div className="left-col">
-          <OnboardingPanel domain={domain} learnerName={learnerName} />
-          <MasteryMap nodes={masteryMap} />
-          <EvidenceLog history={learnerState.history} />
-        </div>
-
-        <div className="center-col">
         <section className="card">
-            <h2>What should I do next?</h2>
+          <h2>Bundle output</h2>
-            {recs.length === 0 ? (
+          <pre className="prebox">{JSON.stringify(bundle, null, 2)}</pre>
-              <div className="muted">No immediate recommendation available. You may have completed the current progression or need a new pack.</div>
-            ) : (
-              <div className="steps-stack">
-                {recs.map((step) => <NextStepCard key={step.id} step={step} onSimulate={simulateStep} />)}
-              </div>
-            )}
         </section>
+        <section className="card">
+          <h2>What this bundle contains</h2>
+          <div className="explain">
+            <p>Each bundle includes SVG frames, a JSON manifest, and a render shell script suitable for FFmpeg-based conversion.</p>
+            <p>This keeps artifact generation decoupled from the API server while still making render production straightforward.</p>
           </div>
-
+        </section>
-        <div className="right-col">
-          <ProgressPanel progress={progress} readiness={readiness} />
-          <MilestonePanel milestones={milestones} lastReward={lastReward} />
-          <CompliancePanel compliance={domain.compliance} />
-        </div>
       </main>
     </div>
   );

webui/src/api.js

@@ -19,6 +19,5 @@ export async function refresh(refreshToken) {
 export async function fetchPacks(token) { const res = await fetch(`${API}/packs`, { headers: authHeaders(token, false) }); if (!res.ok) throw new Error("fetchPacks failed"); return await res.json(); }
 export async function fetchLearnerState(token, learnerId) { const res = await fetch(`${API}/learners/${learnerId}/state`, { headers: authHeaders(token, false) }); if (!res.ok) throw new Error("fetchLearnerState failed"); return await res.json(); }
 export async function putLearnerState(token, learnerId, state) { const res = await fetch(`${API}/learners/${learnerId}/state`, { method: "PUT", headers: authHeaders(token), body: JSON.stringify(state) }); if (!res.ok) throw new Error("putLearnerState failed"); return await res.json(); }
-export async function createLearnerRun(token, payload) { const res = await fetch(`${API}/learner-runs`, { method: "POST", headers: authHeaders(token), body: JSON.stringify(payload) }); if (!res.ok) throw new Error("createLearnerRun failed"); return await res.json(); }
+export async function fetchGraphAnimation(token, learnerId, packId) { const res = await fetch(`${API}/learners/${learnerId}/graph-animation/${packId}`, { headers: authHeaders(token, false) }); if (!res.ok) throw new Error("fetchGraphAnimation failed"); return await res.json(); }
-export async function addWorkflowEvent(token, payload) { const res = await fetch(`${API}/workflow-events`, { method: "POST", headers: authHeaders(token), body: JSON.stringify(payload) }); if (!res.ok) throw new Error("addWorkflowEvent failed"); return await res.json(); }
+export async function createRenderBundle(token, learnerId, packId, payload) { const res = await fetch(`${API}/learners/${learnerId}/render-bundle/${packId}`, { method: "POST", headers: authHeaders(token), body: JSON.stringify(payload) }); if (!res.ok) throw new Error("createRenderBundle failed"); return await res.json(); }
-export async function fetchAnimation(token, learnerId, packId) { const res = await fetch(`${API}/learners/${learnerId}/animation/${packId}`, { headers: authHeaders(token, false) }); if (!res.ok) throw new Error("fetchAnimation failed"); return await res.json(); }

webui/src/main.jsx

@@ -2,5 +2,4 @@ import React from "react";
 import { createRoot } from "react-dom/client";
 import App from "./App";
 import "./styles.css";
-
 createRoot(document.getElementById("root")).render(<App />);

webui/src/styles.css

@@ -1,208 +1,24 @@
 :root {
-  --bg: #f6f8fb;
+  --bg:#f6f8fb; --card:#ffffff; --text:#1f2430; --muted:#60697a; --border:#dbe1ea; --accent:#2d6cdf;
-  --card: #ffffff;
-  --text: #1f2430;
-  --muted: #60697a;
-  --border: #dbe1ea;
-  --accent: #2d6cdf;
-  --soft: #eef4ff;
 }
 * { box-sizing:border-box; }
-body {
+body { margin:0; font-family:Arial, Helvetica, sans-serif; background:var(--bg); color:var(--text); }
-  margin: 0;
+.page { max-width:1500px; margin:0 auto; padding:24px; }
-  font-family: Arial, Helvetica, sans-serif;
+.narrow-page { max-width:520px; }
-  background: var(--bg);
+.hero { background:var(--card); border:1px solid var(--border); border-radius:22px; padding:24px; display:flex; justify-content:space-between; gap:16px; align-items:flex-start; }
-  color: var(--text);
+.controls { display:flex; gap:10px; align-items:flex-end; flex-wrap:wrap; }
-}
+label { display:block; font-weight:600; }
-.page {
+input, select { width:100%; margin-top:6px; border:1px solid var(--border); border-radius:10px; padding:10px; font:inherit; background:white; }
-  max-width: 1500px;
+button { border:1px solid var(--border); background:white; border-radius:12px; padding:10px 14px; cursor:pointer; }
-  margin: 0 auto;
+.card { background:var(--card); border:1px solid var(--border); border-radius:18px; padding:18px; }
-  padding: 20px;
+.narrow { margin-top:60px; }
-}
+.layout { display:grid; gap:16px; }
-.hero {
+.twocol { grid-template-columns:1fr 1fr; }
-  background: var(--card);
+.prebox { background:#f7f8fa; border:1px solid var(--border); border-radius:12px; padding:12px; overflow:auto; max-height:460px; }
-  border: 1px solid var(--border);
+.muted { color:var(--muted); }
-  border-radius: 22px;
+.error { color:#b42318; margin-top:10px; }
-  padding: 24px;
+.explain p { margin-top:0; }
-  display: flex;
-  justify-content: space-between;
-  gap: 16px;
-}
-.hero-controls {
-  min-width: 260px;
-}
-.hero-controls input {
-  width: 100%;
-  margin-top: 6px;
-  border: 1px solid var(--border);
-  border-radius: 10px;
-  padding: 10px;
-  font: inherit;
-}
-.hero-controls button {
-  margin-top: 12px;
-}
-.domain-grid {
-  display: grid;
-  grid-template-columns: repeat(2, 1fr);
-  gap: 16px;
-  margin-top: 16px;
-}
-.domain-card {
-  border: 1px solid var(--border);
-  background: var(--card);
-  border-radius: 18px;
-  padding: 16px;
-  text-align: left;
-  cursor: pointer;
-}
-.domain-card.selected {
-  border-color: var(--accent);
-  box-shadow: 0 0 0 2px rgba(45,108,223,0.12);
-}
-.domain-title {
-  font-size: 20px;
-  font-weight: 700;
-}
-.domain-subtitle {
-  margin-top: 6px;
-  color: var(--muted);
-}
-.domain-meta {
-  margin-top: 10px;
-  display: flex;
-  gap: 12px;
-  color: var(--muted);
-  font-size: 14px;
-}
-.layout {
-  display: grid;
-  grid-template-columns: 1fr 1.25fr 0.95fr;
-  gap: 16px;
-  margin-top: 16px;
-}
-.card {
-  background: var(--card);
-  border: 1px solid var(--border);
-  border-radius: 20px;
-  padding: 18px;
-}
-.muted {
-  color: var(--muted);
-}
-.steps-stack {
-  display: grid;
-  gap: 14px;
-}
-.step-card {
-  border: 1px solid var(--border);
-  border-radius: 16px;
-  padding: 14px;
-  background: #fcfdff;
-}
-.step-header {
-  display: flex;
-  justify-content: space-between;
-  gap: 12px;
-  align-items: start;
-}
-.reward-pill {
-  background: var(--soft);
-  border: 1px solid var(--border);
-  border-radius: 999px;
-  padding: 8px 10px;
-  font-size: 12px;
-}
-button {
-  border: 1px solid var(--border);
-  background: white;
-  border-radius: 12px;
-  padding: 10px 14px;
-  cursor: pointer;
-}
-.primary {
-  margin-top: 10px;
-  background: var(--accent);
-  color: white;
-  border: none;
-}
-.map-grid {
-  display: grid;
-  grid-template-columns: repeat(2, 1fr);
-  gap: 12px;
-}
-.map-node {
-  border: 1px solid var(--border);
-  border-radius: 16px;
-  padding: 14px;
-}
-.map-node.mastered { background: #eef9f0; }
-.map-node.active, .map-node.available { background: #eef4ff; }
-.map-node.locked { background: #f6f7fa; }
-.node-label {
-  font-weight: 700;
-}
-.node-status {
-  margin-top: 6px;
-  color: var(--muted);
-  text-transform: capitalize;
-}
-.progress-wrap {
-  margin-bottom: 14px;
-}
-.progress-bar {
-  width: 100%;
-  height: 12px;
-  border-radius: 999px;
-  background: #e9edf4;
-  overflow: hidden;
-  margin: 8px 0;
-}
-.progress-fill {
-  height: 100%;
-  background: var(--accent);
-}
-.reward-banner {
-  background: #fff7dd;
-  border: 1px solid #ecdca2;
-  border-radius: 14px;
-  padding: 12px;
-  margin-bottom: 12px;
-  font-weight: 700;
-}
-.readiness-box {
-  border: 1px solid var(--border);
-  background: #fbfcfe;
-  border-radius: 14px;
-  padding: 12px;
-}
-.readiness-box.ready {
-  background: #eef9f0;
-}
-.compliance-grid {
-  display: grid;
-  grid-template-columns: repeat(2, 1fr);
-  gap: 10px;
-}
-.flag-row {
-  margin-top: 12px;
-  display: flex;
-  flex-wrap: wrap;
-  gap: 8px;
-}
-.flag {
-  border: 1px solid var(--border);
-  background: #f4f7fc;
-  border-radius: 999px;
-  padding: 6px 10px;
-  font-size: 12px;
-}
-details summary {
-  cursor: pointer;
-  color: var(--accent);
-}
 @media (max-width:1100px) {
-  .layout { grid-template-columns: 1fr; }
-  .domain-grid { grid-template-columns: 1fr; }
   .hero { flex-direction:column; }
+  .twocol { grid-template-columns:1fr; }
 }