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AIDidact

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mfirat007 commited on Mar 31

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1e18157

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1 Parent(s): 01334ca

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Files changed (7) hide show

README.md +3 -3
backend/app/api/routes/auth.py +15 -0
backend/app/main.py +657 -97
backend/app/models/schemas.py +32 -0
backend/app/services/bootstrap.py +142 -117
backend/app/services/engines.py +49 -0
backend/app/services/repository.py +22 -1

README.md CHANGED Viewed

@@ -1,13 +1,13 @@
 ---
 title: AIDidact
-emoji: 🎓
 colorFrom: blue
 colorTo: indigo
 sdk: docker
 app_port: 7860
 pinned: false
-license: mit
 ---
 # AIDidact
 AIDidact is a scalable AI-powered microlearning ecosystem for personalized, self-directed learning. The platform is organized around modular 5 ECTS learning units, hybrid recommendations, cheating-resistant assessments, and analytics-driven learner support.
@@ -107,4 +107,4 @@ Main deployment files:
 5. Learner completes chunked units, activities, and formative checks.
 6. Events stream to analytics and update mastery, dashboards, and next recommendations.
 7. Learner completes a unique summative assessment with integrity controls.
-8. Module is marked complete only if score, engagement, and integrity thresholds are satisfied.

 ---
 title: AIDidact
+emoji: "🎓"
 colorFrom: blue
 colorTo: indigo
 sdk: docker
 app_port: 7860
 pinned: false
 ---
 # AIDidact
 AIDidact is a scalable AI-powered microlearning ecosystem for personalized, self-directed learning. The platform is organized around modular 5 ECTS learning units, hybrid recommendations, cheating-resistant assessments, and analytics-driven learner support.
 5. Learner completes chunked units, activities, and formative checks.
 6. Events stream to analytics and update mastery, dashboards, and next recommendations.
 7. Learner completes a unique summative assessment with integrity controls.
+8. Module is marked complete only if score, engagement, and integrity thresholds are satisfied.

backend/app/api/routes/auth.py CHANGED Viewed

@@ -5,6 +5,8 @@ from app.api.deps import get_db_session
 from app.models.schemas import (
     LearnerPreferences,
     LearnerRecord,
     LearnerRegistrationResponse,
     RegisterLearnerRequest,
 )
@@ -33,3 +35,16 @@ async def register_learner(
     )
     await repository.create_learner(session, engines.build_profile(learner))
     return LearnerRegistrationResponse(learner_id=learner.id)

 from app.models.schemas import (
     LearnerPreferences,
     LearnerRecord,
+    LoginRequest,
+    LoginResponse,
     LearnerRegistrationResponse,
     RegisterLearnerRequest,
 )
     )
     await repository.create_learner(session, engines.build_profile(learner))
     return LearnerRegistrationResponse(learner_id=learner.id)
+@router.post("/login", response_model=LoginResponse)
+async def login_learner(
+    payload: LoginRequest, session: AsyncSession = Depends(get_db_session)
+) -> LoginResponse:
+    learner = await repository.get_learner_by_email(session, str(payload.email))
+    return LoginResponse(
+        learner_id=learner.id,
+        first_name=learner.first_name,
+        dashboard_path=f"/dashboard/{learner.id}",
+        recommendations_path=f"/v1/learners/{learner.id}/recommendations",
+    )

backend/app/main.py CHANGED Viewed

@@ -1,4 +1,5 @@
 from contextlib import asynccontextmanager
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
@@ -45,149 +46,708 @@ def root() -> HTMLResponse:
     return HTMLResponse(
         f"""
         <!DOCTYPE html>
-        <html lang="en">
         <head>
             <meta charset="utf-8">
             <meta name="viewport" content="width=device-width, initial-scale=1">
             <title>{settings.app_name}</title>
             <style>
                 :root {{
-                    --bg: #0b1020;
-                    --panel: #121933;
-                    --soft: #1a2447;
-                    --text: #eef2ff;
-                    --muted: #aab5d6;
-                    --accent: #58c4ff;
-                    --accent-2: #7ef0c1;
-                }}
-                * {{
-                    box-sizing: border-box;
                 }}
                 body {{
                     margin: 0;
-                    font-family: "Segoe UI", Tahoma, Geneva, Verdana, sans-serif;
                     background:
-                        radial-gradient(circle at top left, rgba(88, 196, 255, 0.16), transparent 32%),
-                        radial-gradient(circle at bottom right, rgba(126, 240, 193, 0.14), transparent 30%),
                         var(--bg);
-                    color: var(--text);
                 }}
-                .wrap {{
-                    max-width: 980px;
-                    margin: 0 auto;
-                    padding: 48px 20px 72px;
                 }}
-                .hero {{
-                    background: linear-gradient(135deg, rgba(18, 25, 51, 0.96), rgba(26, 36, 71, 0.92));
-                    border: 1px solid rgba(255, 255, 255, 0.08);
-                    border-radius: 22px;
-                    padding: 32px;
-                    box-shadow: 0 18px 60px rgba(0, 0, 0, 0.28);
                 }}
-                .badge {{
                     display: inline-block;
-                    padding: 8px 12px;
                     border-radius: 999px;
-                    background: rgba(88, 196, 255, 0.12);
                     color: var(--accent);
-                    font-size: 14px;
-                    margin-bottom: 14px;
                 }}
                 h1 {{
-                    margin: 0 0 10px;
-                    font-size: clamp(32px, 5vw, 56px);
-                    line-height: 1.05;
                 }}
-                p {{
                     color: var(--muted);
-                    line-height: 1.6;
-                    font-size: 17px;
                 }}
-                .grid {{
-                    display: grid;
-                    grid-template-columns: repeat(auto-fit, minmax(220px, 1fr));
-                    gap: 16px;
-                    margin-top: 28px;
-                }}
-                .card {{
-                    background: rgba(255, 255, 255, 0.03);
-                    border: 1px solid rgba(255, 255, 255, 0.08);
-                    border-radius: 18px;
-                    padding: 18px;
-                }}
-                .card h3 {{
-                    margin-top: 0;
-                    margin-bottom: 8px;
-                    font-size: 18px;
-                }}
-                .card a, .cta {{
-                    color: var(--accent);
-                    text-decoration: none;
-                    font-weight: 600;
-                }}
-                .card a:hover, .cta:hover {{
-                    text-decoration: underline;
                 }}
-                .actions {{
                     display: flex;
                     flex-wrap: wrap;
-                    gap: 12px;
-                    margin-top: 24px;
                 }}
-                .button {{
                     display: inline-block;
                     padding: 12px 16px;
-                    border-radius: 12px;
                     text-decoration: none;
                     font-weight: 700;
-                    color: #07111f;
-                    background: linear-gradient(135deg, var(--accent), var(--accent-2));
                 }}
-                .button.secondary {{
-                    color: var(--text);
-                    background: rgba(255, 255, 255, 0.06);
-                    border: 1px solid rgba(255, 255, 255, 0.08);
                 }}
-                code {{
-                    color: var(--accent-2);
-                    background: rgba(255, 255, 255, 0.06);
-                    padding: 2px 6px;
-                    border-radius: 6px;
                 }}
             </style>
         </head>
         <body>
             <div class="wrap">
                 <section class="hero">
-                    <div class="badge">AIDidact Microlearning Platform</div>
-                    <h1>{settings.app_name}</h1>
-                    <p>
-                        Personalized AI-powered microlearning backend is running successfully.
-                        Use this service to explore modules, learner profiles, assessments, and analytics APIs.
-                    </p>
-                    <div class="actions">
-                        <a class="button" href="/docs">Open API Docs</a>
-                        <a class="button secondary" href="/openapi.json">Open OpenAPI JSON</a>
-                        <a class="button secondary" href="/health">Health Check</a>
                     </div>
-                    <div class="grid">
-                        <div class="card">
-                            <h3>API Status</h3>
-                            <p>Service status: <code>running</code><br>Version: <code>{settings.app_version}</code></p>
                         </div>
-                        <div class="card">
-                            <h3>Base Prefix</h3>
-                            <p>All core endpoints are available under <code>{settings.api_prefix}</code>.</p>
                         </div>
-                        <div class="card">
-                            <h3>Starter Endpoint</h3>
-                            <p><a href="{settings.api_prefix}/modules">{settings.api_prefix}/modules</a></p>
                         </div>
                     </div>
                 </section>
             </div>
         </body>
         </html>
         """

 from contextlib import asynccontextmanager
+from uuid import UUID
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
     return HTMLResponse(
         f"""
         <!DOCTYPE html>
+        <html lang="tr">
         <head>
             <meta charset="utf-8">
             <meta name="viewport" content="width=device-width, initial-scale=1">
             <title>{settings.app_name}</title>
             <style>
                 :root {{
+                    --bg: #f6f0e2;
+                    --ink: #132122;
+                    --muted: #5a6668;
+                    --panel: rgba(255, 251, 244, 0.92);
+                    --line: rgba(19, 33, 34, 0.10);
+                    --accent: #0f8a79;
+                    --deep: #173d6f;
+                    --warm: #efa844;
                 }}
+                * {{ box-sizing: border-box; }}
                 body {{
                     margin: 0;
+                    font-family: Georgia, "Times New Roman", serif;
                     background:
+                        radial-gradient(circle at top left, rgba(15,138,121,0.16), transparent 28%),
+                        radial-gradient(circle at top right, rgba(239,168,68,0.20), transparent 24%),
                         var(--bg);
+                    color: var(--ink);
                 }}
+                .wrap {{ max-width: 1180px; margin: 0 auto; padding: 28px 20px 72px; }}
+                .hero, .split, .modules, .form-grid {{
+                    display: grid;
+                    gap: 18px;
                 }}
+                .hero {{ grid-template-columns: 1.15fr 0.85fr; }}
+                .split {{ grid-template-columns: 1fr 1fr; margin-top: 20px; }}
+                .modules {{ grid-template-columns: repeat(3, 1fr); margin-top: 20px; }}
+                .form-grid {{ grid-template-columns: 1fr 1fr; }}
+                .panel, .card {{
+                    background: var(--panel);
+                    border: 1px solid var(--line);
+                    border-radius: 24px;
+                    padding: 24px;
+                    box-shadow: 0 24px 60px rgba(18, 27, 29, 0.10);
                 }}
+                .card {{ border-radius: 18px; padding: 18px; }}
+                .badge, .mini {{
                     display: inline-block;
                     border-radius: 999px;
+                    font-family: "Segoe UI", Tahoma, sans-serif;
+                    font-weight: 700;
+                }}
+                .badge {{
+                    padding: 8px 14px;
+                    background: rgba(15,138,121,0.10);
                     color: var(--accent);
+                    font-size: 13px;
+                    text-transform: uppercase;
+                    letter-spacing: 0.05em;
+                }}
+                .mini {{
+                    padding: 7px 11px;
+                    background: rgba(239,168,68,0.16);
+                    color: #8e5a0a;
+                    font-size: 12px;
                 }}
                 h1 {{
+                    margin: 14px 0;
+                    font-size: clamp(38px, 6vw, 74px);
+                    line-height: 0.96;
+                    letter-spacing: -0.03em;
                 }}
+                h2 {{ margin: 0 0 12px; font-size: clamp(28px, 4vw, 42px); }}
+                h3 {{ margin: 10px 0; font-family: "Segoe UI", Tahoma, sans-serif; }}
+                p, li {{
                     color: var(--muted);
+                    line-height: 1.65;
+                    font-size: 16px;
                 }}
+                .eyebrow {{
+                    margin-bottom: 10px;
+                    color: var(--deep);
+                    font-family: "Segoe UI", Tahoma, sans-serif;
+                    font-size: 12px;
+                    font-weight: 800;
+                    text-transform: uppercase;
+                    letter-spacing: 0.08em;
                 }}
+                .actions, .meta, .tabs, .wizard-nav {{
                     display: flex;
                     flex-wrap: wrap;
+                    gap: 10px;
                 }}
+                .meta {{ margin-top: 18px; }}
+                .button, .tab-btn {{
                     display: inline-block;
+                    border-radius: 14px;
+                    border: 1px solid var(--line);
                     padding: 12px 16px;
+                    font-family: "Segoe UI", Tahoma, sans-serif;
+                    font-weight: 700;
                     text-decoration: none;
+                    cursor: pointer;
+                }}
+                .button {{
+                    background: linear-gradient(135deg, var(--accent), var(--deep));
+                    color: #fffef8;
+                    border: 0;
+                }}
+                .button.secondary, .tab-btn {{
+                    background: rgba(255,255,255,0.52);
+                    color: var(--deep);
+                }}
+                .tab-btn.active {{
+                    background: linear-gradient(135deg, rgba(15,138,121,0.12), rgba(239,168,68,0.14));
+                }}
+                .tab-pane, .wizard-pane {{ display: none; }}
+                .tab-pane.active, .wizard-pane.active {{ display: block; }}
+                .steps {{
+                    display: flex;
+                    gap: 8px;
+                    margin: 14px 0 8px;
+                }}
+                .step {{
+                    flex: 1;
+                    text-align: center;
+                    padding: 8px 10px;
+                    border-radius: 12px;
+                    border: 1px solid var(--line);
+                    background: rgba(255,255,255,0.52);
+                    color: var(--muted);
+                    font-family: "Segoe UI", Tahoma, sans-serif;
+                    font-size: 12px;
                     font-weight: 700;
                 }}
+                .step.active {{
+                    color: var(--deep);
+                    background: linear-gradient(135deg, rgba(15,138,121,0.12), rgba(239,168,68,0.14));
+                }}
+                label {{
+                    display: grid;
+                    gap: 6px;
+                    margin-top: 10px;
+                    color: var(--deep);
+                    font-family: "Segoe UI", Tahoma, sans-serif;
+                    font-size: 14px;
+                    font-weight: 700;
+                }}
+                input, select, textarea {{
+                    width: 100%;
+                    padding: 12px 14px;
+                    border-radius: 14px;
+                    border: 1px solid rgba(19, 33, 34, 0.16);
+                    background: rgba(255,255,255,0.84);
+                    color: var(--ink);
+                    font: inherit;
+                }}
+                textarea {{ min-height: 104px; resize: vertical; }}
+                .notice {{
+                    display: none;
+                    margin-top: 12px;
+                    padding: 12px 14px;
+                    border-radius: 14px;
+                    background: rgba(15,138,121,0.10);
+                    border: 1px solid rgba(15,138,121,0.18);
+                    color: var(--deep);
+                    font-family: "Segoe UI", Tahoma, sans-serif;
+                }}
+                .video {{
+                    min-height: 260px;
+                    background: linear-gradient(135deg, rgba(15,138,121,0.96), rgba(23,61,111,0.94));
+                    color: white;
+                    display: flex;
+                    flex-direction: column;
+                    justify-content: space-between;
+                }}
+                .play {{
+                    width: 76px;
+                    height: 76px;
+                    border-radius: 50%;
+                    background: rgba(255,255,255,0.14);
+                    border: 1px solid rgba(255,255,255,0.24);
+                    display: grid;
+                    place-items: center;
+                }}
+                .tri {{
+                    width: 0;
+                    height: 0;
+                    border-top: 11px solid transparent;
+                    border-bottom: 11px solid transparent;
+                    border-left: 18px solid white;
+                    margin-left: 3px;
                 }}
+                .inline-link {{ color: var(--deep); text-decoration: none; font-weight: 700; }}
+                .inline-link:hover {{ text-decoration: underline; }}
+                @media (max-width: 920px) {{
+                    .hero, .split, .modules, .form-grid {{ grid-template-columns: 1fr; }}
                 }}
             </style>
         </head>
         <body>
             <div class="wrap">
                 <section class="hero">
+                    <div class="panel">
+                        <div class="badge">AI-Powered Microlearning Ecosystem</div>
+                        <h1>Kisisellestirilmis ogrenme, kisa ama derin modullerle.</h1>
+                        <p>
+                            AIDidact; ogrenme gecmisi, hedefler, hazirbulunusluk ve ilerleme verisini birlikte kullanarak
+                            kisiye ozel moduller, odevler, olcumleme ve oneriler sunan tam tesekkullu bir ogrenme platformudur.
+                        </p>
+                        <div class="actions">
+                            <a class="button" href="#auth-box">Kayit Ol ve Profilini Olustur</a>
+                            <a class="button secondary" href="{settings.api_prefix}/modules">Modulleri Incele</a>
+                        </div>
+                        <div class="meta">
+                            <span class="mini">5 ECTS moduller</span>
+                            <span class="mini">Uyarlanabilir oneriler</span>
+                            <span class="mini">Kopya direncli olcme</span>
+                            <span class="mini">Ogrenme analitigi</span>
+                        </div>
+                    </div>
+                    <div class="panel video">
+                        <div class="play"><div class="tri"></div></div>
+                        <div>
+                            <h3>Tanitim videosu alani</h3>
+                            <p style="color: rgba(255,255,255,0.86); margin: 0;">
+                                Bu panel, ekosistemin nasil isledigini, moduller arasi gecisleri ve profil tabanli
+                                kisisellestirmeyi gosteren giris videosu icin ayrildi.
+                            </p>
+                        </div>
                     </div>
+                </section>
+                <section class="split">
+                    <div class="panel">
+                        <div class="eyebrow">Ekosistem</div>
+                        <h2>AIDidact ne sunar?</h2>
+                        <ul>
+                            <li>Bloom hizali mikro ogrenme birimleri</li>
+                            <li>Profil vektorune dayali tavsiye sistemi</li>
+                            <li>Her ogrenene ozgu degerlendirme akisi</li>
+                            <li>Zaman, etkilesim ve basari izleme analitigi</li>
+                            <li>Milyonlarca kullaniciya olceklenebilir servis mimarisi</li>
+                        </ul>
+                    </div>
+                    <div class="panel">
+                        <div class="eyebrow">Ilk Ogrenme Yolu</div>
+                        <h2>Uc ayri 5 ECTS AI temel modulu</h2>
+                        <p>
+                            Ilk ogrenme yolu artik tek bir giris modulu degil; birbiri ardina alinabilecek
+                            uc bagimsiz 5 ECTS modulden olusur.
+                        </p>
+                        <div class="actions">
+                            <a class="button secondary" href="/docs">API Docs</a>
+                            <a class="button secondary" href="/health">Health</a>
                         </div>
+                    </div>
+                </section>
+                <section class="modules">
+                    <div class="card">
+                        <div class="mini">5 ECTS • Modul 1</div>
+                        <h3>AI Nedir?</h3>
+                        <p>Yapay zekanin tanimi, kapsami, alt alanlari ve gercek yasam kullanim alanlari.</p>
+                    </div>
+                    <div class="card">
+                        <div class="mini">5 ECTS • Modul 2</div>
+                        <h3>AI Nasil Calisir?</h3>
+                        <p>Veri, ozellik, model, tahmin ve karar mantiginin temelleri.</p>
+                    </div>
+                    <div class="card">
+                        <div class="mini">5 ECTS • Modul 3</div>
+                        <h3>AI Nasil Egitilir?</h3>
+                        <p>Egitim, dogrulama, test, hata analizi ve etik riskleri ele alan modul.</p>
+                    </div>
+                </section>
+                <section class="split" id="auth-box">
+                    <div class="panel">
+                        <div class="eyebrow">Kayit ve Giris</div>
+                        <h2>Calisan demo onboarding</h2>
+                        <div class="tabs">
+                            <button class="tab-btn active" data-tab="signup">Kayit Ol</button>
+                            <button class="tab-btn" data-tab="signin">Giris Yap</button>
+                        </div>
+                        <div class="tab-pane active" id="signup-pane">
+                            <div class="steps">
+                                <div class="step active" data-chip="1">1. Kimlik</div>
+                                <div class="step" data-chip="2">2. Hedefler</div>
+                                <div class="step" data-chip="3">3. Tercihler</div>
+                            </div>
+                            <form id="registration-form">
+                                <div class="wizard-pane active" data-step="1">
+                                    <div class="form-grid">
+                                        <label>Ad
+                                            <input name="first_name" placeholder="Adiniz" required>
+                                        </label>
+                                        <label>Soyad
+                                            <input name="last_name" placeholder="Soyadiniz" required>
+                                        </label>
+                                    </div>
+                                    <div class="form-grid">
+                                        <label>E-posta
+                                            <input type="email" name="email" placeholder="ornek@mail.com" required>
+                                        </label>
+                                        <label>Egitim Duzeyi
+                                            <select name="educational_level" required>
+                                                <option value="secondary">Ortaogretim</option>
+                                                <option value="undergraduate" selected>Lisans</option>
+                                                <option value="graduate">Lisansustu</option>
+                                                <option value="professional">Profesyonel Gelisim</option>
+                                            </select>
+                                        </label>
+                                    </div>
+                                </div>
+                                <div class="wizard-pane" data-step="2">
+                                    <div class="form-grid">
+                                        <label>Kisa Vadeli Hedef
+                                            <input name="short_goal" placeholder="Orn. AI kavramlarini anlamak" required>
+                                        </label>
+                                        <label>Uzun Vadeli Hedef
+                                            <input name="long_goal" placeholder="Orn. AI ile ders tasarlamak" required>
+                                        </label>
+                                    </div>
+                                    <label>Onceki Ogrenmeler
+                                        <textarea name="prior_learning" placeholder="Dersler, sertifikalar, kendi kendine ogrenme veya is deneyimi"></textarea>
+                                    </label>
+                                </div>
+                                <div class="wizard-pane" data-step="3">
+                                    <div class="form-grid">
+                                        <label>Tercih Edilen Bicim
+                                            <select name="preferred_modality">
+                                                <option value="interactive">Etkilesimli etkinlikler</option>
+                                                <option value="video">Kisa videolar</option>
+                                                <option value="reading">Metin ve ozetler</option>
+                                                <option value="reflection">Yansitici gorevler</option>
+                                            </select>
+                                        </label>
+                                        <label>Oturum Suresi
+                                            <select name="session_length">
+                                                <option value="10">10 dakika</option>
+                                                <option value="15" selected>15 dakika</option>
+                                                <option value="20">20 dakika</option>
+                                            </select>
+                                        </label>
+                                    </div>
+                                </div>
+                                <div class="wizard-nav">
+                                    <button class="button secondary" type="button" id="prev-step">Geri</button>
+                                    <button class="button secondary" type="button" id="next-step">Ileri</button>
+                                    <button class="button" type="submit" id="submit-registration" style="display:none;">Profili Olustur</button>
+                                </div>
+                            </form>
+                            <div id="registration-result" class="notice"></div>
+                        </div>
+                        <div class="tab-pane" id="signin-pane">
+                            <form id="login-form">
+                                <label>E-posta
+                                    <input type="email" name="login_email" placeholder="ornek@mail.com" required>
+                                </label>
+                                <button class="button" type="submit">Giris Yap</button>
+                            </form>
+                            <div id="login-result" class="notice"></div>
+                        </div>
+                    </div>
+                    <div class="panel">
+                        <div class="eyebrow">Ornek Ders Akisi</div>
+                        <h2>Calisan platform demosu</h2>
+                        <ul>
+                            <li>Profil bilgisi toplanir ve learner profili olusturulur</li>
+                            <li>Moduller ve öneriler API uzerinden alinabilir</li>
+                            <li>Giris yapan kullanici dashboard ve recommendation endpointlerine yonlenir</li>
+                            <li>Space uzerinde tek sayfadan tum akisin demosu gorulur</li>
+                        </ul>
+                        <p>
+                            Canli endpointler:
+                            <a class="inline-link" href="{settings.api_prefix}/modules">{settings.api_prefix}/modules</a>,
+                            <a class="inline-link" href="/docs">/docs</a>,
+                            <a class="inline-link" href="/health">/health</a>
+                        </p>
+                    </div>
+                </section>
+            </div>
+            <script>
+                const tabs = document.querySelectorAll(".tab-btn");
+                const signupPane = document.getElementById("signup-pane");
+                const signinPane = document.getElementById("signin-pane");
+                const steps = [...document.querySelectorAll(".wizard-pane")];
+                const chips = [...document.querySelectorAll(".step")];
+                const prevStep = document.getElementById("prev-step");
+                const nextStep = document.getElementById("next-step");
+                const submitButton = document.getElementById("submit-registration");
+                const form = document.getElementById("registration-form");
+                const result = document.getElementById("registration-result");
+                const loginForm = document.getElementById("login-form");
+                const loginResult = document.getElementById("login-result");
+                let currentStep = 1;
+                function setTab(name) {{
+                    tabs.forEach((tab) => tab.classList.toggle("active", tab.dataset.tab === name));
+                    signupPane.classList.toggle("active", name === "signup");
+                    signinPane.classList.toggle("active", name === "signin");
+                }}
+                tabs.forEach((tab) => tab.addEventListener("click", () => setTab(tab.dataset.tab)));
+                function renderStep() {{
+                    steps.forEach((pane) => pane.classList.toggle("active", Number(pane.dataset.step) === currentStep));
+                    chips.forEach((chip) => chip.classList.toggle("active", Number(chip.dataset.chip) === currentStep));
+                    prevStep.style.visibility = currentStep === 1 ? "hidden" : "visible";
+                    nextStep.style.display = currentStep === steps.length ? "none" : "inline-block";
+                    submitButton.style.display = currentStep === steps.length ? "inline-block" : "inline-block";
+                    if (currentStep === steps.length) {{
+                        nextStep.style.display = "none";
+                        submitButton.style.display = "inline-block";
+                    }} else {{
+                        nextStep.style.display = "inline-block";
+                        submitButton.style.display = "none";
+                    }}
+                }}
+                nextStep.addEventListener("click", () => {{
+                    if (currentStep < steps.length) {{
+                        currentStep += 1;
+                        renderStep();
+                    }}
+                }});
+                prevStep.addEventListener("click", () => {{
+                    if (currentStep > 1) {{
+                        currentStep -= 1;
+                        renderStep();
+                    }}
+                }});
+                renderStep();
+                form.addEventListener("submit", async (event) => {{
+                    event.preventDefault();
+                    const data = new FormData(form);
+                    const priorLearning = data.get("prior_learning")?.toString().trim();
+                    const payload = {{
+                        email: data.get("email"),
+                        first_name: data.get("first_name"),
+                        last_name: data.get("last_name"),
+                        timezone: "Europe/Istanbul",
+                        educational_level: data.get("educational_level"),
+                        consent_personalization: true,
+                        consent_analytics: true,
+                        prior_learning: priorLearning ? [{{
+                            learning_type: "informal",
+                            title: "Self-reported prior learning",
+                            description: priorLearning
+                        }}] : [],
+                        goals: [
+                            {{ goal_horizon: "short_term", goal_text: data.get("short_goal") }},
+                            {{ goal_horizon: "long_term", goal_text: data.get("long_goal") }}
+                        ],
+                        preferences: {{
+                            preferred_modalities: [data.get("preferred_modality")],
+                            preferred_session_length_minutes: Number(data.get("session_length"))
+                        }}
+                    }};
+                    result.style.display = "block";
+                    result.textContent = "Profil olusturuluyor...";
+                    try {{
+                        const response = await fetch("{settings.api_prefix}/auth/register", {{
+                            method: "POST",
+                            headers: {{ "Content-Type": "application/json" }},
+                            body: JSON.stringify(payload)
+                        }});
+                        if (!response.ok) {{
+                            const errorData = await response.json().catch(() => ({{ detail: "Bilinmeyen hata" }}));
+                            throw new Error(errorData.detail || "Kayit basarisiz oldu");
+                        }}
+                        const json = await response.json();
+                        result.innerHTML = `Profil olusturuldu. Learner ID: <code>${{json.learner_id}}</code>. <a class="inline-link" href="/dashboard/${{json.learner_id}}">Dashboard'u ac</a>`;
+                    }} catch (error) {{
+                        result.textContent = `Kayit sirasinda hata olustu: ${{error.message}}`;
+                    }}
+                }});
+                loginForm.addEventListener("submit", async (event) => {{
+                    event.preventDefault();
+                    const data = new FormData(loginForm);
+                    loginResult.style.display = "block";
+                    loginResult.textContent = "Profil araniyor...";
+                    try {{
+                        const response = await fetch("{settings.api_prefix}/auth/login", {{
+                            method: "POST",
+                            headers: {{ "Content-Type": "application/json" }},
+                            body: JSON.stringify({{ email: data.get("login_email") }})
+                        }});
+                        if (!response.ok) {{
+                            const errorData = await response.json().catch(() => ({{ detail: "Bilinmeyen hata" }}));
+                            throw new Error(errorData.detail || "Giris basarisiz");
+                        }}
+                        const json = await response.json();
+                        loginResult.innerHTML = `Hos geldin <strong>${{json.first_name}}</strong>. <a class="inline-link" href="${{json.dashboard_path}}">Dashboard</a> ve <a class="inline-link" href="${{json.recommendations_path}}">oneriler</a> hazir.`;
+                    }} catch (error) {{
+                        loginResult.textContent = `Giris sirasinda hata olustu: ${{error.message}}`;
+                    }}
+                }});
+            </script>
+        </body>
+        </html>
+        """
+    )
+@app.get("/dashboard/{learner_id}", response_class=HTMLResponse)
+def learner_dashboard_page(learner_id: UUID) -> HTMLResponse:
+    dashboard_api = f"{settings.api_prefix}/learners/{learner_id}/dashboard"
+    recommendations_api = f"{settings.api_prefix}/learners/{learner_id}/recommendations"
+    return HTMLResponse(
+        f"""
+        <!DOCTYPE html>
+        <html lang="tr">
+        <head>
+            <meta charset="utf-8">
+            <meta name="viewport" content="width=device-width, initial-scale=1">
+            <title>AIDidact Dashboard</title>
+            <style>
+                body {{ margin:0; font-family: "Segoe UI", Tahoma, sans-serif; background:#e8f3fb; color:#1a2630; }}
+                .wrap {{ max-width: 1320px; margin:0 auto; padding:32px 18px 48px; }}
+                .top {{ display:flex; justify-content:space-between; gap:12px; flex-wrap:wrap; margin-bottom:20px; }}
+                .card-grid {{ display:grid; grid-template-columns: repeat(4, 1fr); gap:18px; margin-bottom:18px; }}
+                .card, .panel {{
+                    background:white; border-radius:20px; padding:22px; box-shadow:0 8px 22px rgba(26,38,48,.08);
+                }}
+                .metric-title {{ color:#6b7686; font-size:15px; margin-bottom:10px; }}
+                .metric-value {{ font-size:28px; font-weight:800; margin-bottom:6px; }}
+                .metric-sub {{ color:#7c8696; font-size:14px; }}
+                .panels {{ display:grid; grid-template-columns: 1.1fr .9fr; gap:18px; }}
+                svg {{ width:100%; height:auto; display:block; }}
+                .legend {{ display:flex; gap:16px; flex-wrap:wrap; color:#617080; font-size:14px; margin-bottom:10px; }}
+                .dot {{ width:14px; height:14px; display:inline-block; border-radius:4px; margin-right:6px; }}
+                .reco-list {{ margin:0; padding-left:18px; line-height:1.7; color:#5d6876; }}
+                a {{ color:#145bb5; text-decoration:none; font-weight:700; }}
+                @media (max-width: 1024px) {{ .card-grid, .panels {{ grid-template-columns:1fr; }} }}
+            </style>
+        </head>
+        <body>
+            <div class="wrap">
+                <div class="top">
+                    <div>
+                        <div style="color:#6b7686; font-size:14px;">AIDidact Learning Analytics</div>
+                        <h1 style="margin:6px 0 0; font-size:40px;">Ogrenme Dashboard'u</h1>
+                    </div>
+                    <div style="display:flex; gap:10px; align-items:center;">
+                        <a href="/">Anasayfa</a>
+                        <a href="/docs">API Docs</a>
+                    </div>
+                </div>
+                <section class="card-grid">
+                    <div class="card"><div class="metric-title">Tahmini Ayrilma Riski</div><div class="metric-value" id="dropoutRisk">--</div><div class="metric-sub" id="dropoutSub">Yukleniyor</div></div>
+                    <div class="card"><div class="metric-title">Ogrenme Aktivite Endeksi</div><div class="metric-value" id="activityIndex">--</div><div class="metric-sub" id="activitySub">Yukleniyor</div></div>
+                    <div class="card"><div class="metric-title">AI Katilim Puani</div><div class="metric-value" id="engagementScore">--</div><div class="metric-sub" id="engagementSub">Yukleniyor</div></div>
+                    <div class="card"><div class="metric-title">Bilissel Yuk Tahmini</div><div class="metric-value" id="cognitiveLoad">--</div><div class="metric-sub" id="cognitiveSub">Yukleniyor</div></div>
+                </section>
+                <section class="panels">
+                    <div class="panel">
+                        <h2 style="margin-top:0;">Katilim ve Ayrilma Riski Egitimi</h2>
+                        <div class="legend">
+                            <span><i class="dot" style="background:#28a8eb;"></i>Katilim Puani</span>
+                            <span><i class="dot" style="background:#ef5b61;"></i>Ayrilma Riski</span>
                         </div>
+                        <svg viewBox="0 0 640 330" id="trendChart"></svg>
+                    </div>
+                    <div class="panel">
+                        <h2 style="margin-top:0;">Ogrenme Davranislari</h2>
+                        <div class="legend">
+                            <span><i class="dot" style="background:#18c48f;"></i>Yuksek Performanslilar</span>
+                            <span><i class="dot" style="background:#f1b132;"></i>Orta Performanslilar</span>
+                            <span><i class="dot" style="background:#ef5b61;"></i>Dusuk Performanslilar</span>
                         </div>
+                        <svg viewBox="0 0 420 330" id="radarChart"></svg>
+                    </div>
+                </section>
+                <section class="panels" style="margin-top:18px;">
+                    <div class="panel">
+                        <h2 style="margin-top:0;">Uyarlanabilir Geri Bildirim</h2>
+                        <ul class="reco-list" id="feedbackList"></ul>
+                    </div>
+                    <div class="panel">
+                        <h2 style="margin-top:0;">Onerilen Moduller</h2>
+                        <ul class="reco-list" id="recommendationList"></ul>
                     </div>
                 </section>
             </div>
+            <script>
+                function setText(id, value) {{
+                    document.getElementById(id).textContent = value;
+                }}
+                function renderTrendChart(trend) {{
+                    const svg = document.getElementById("trendChart");
+                    const width = 640, height = 330, left = 54, right = 20, top = 30, bottom = 44;
+                    const innerW = width - left - right, innerH = height - top - bottom;
+                    const maxY = 100;
+                    const stepX = innerW / (trend.length - 1 || 1);
+                    const y = (v) => top + innerH - (v / maxY) * innerH;
+                    let engagementPath = "";
+                    let riskPath = "";
+                    let labels = "";
+                    let grid = "";
+                    for (let i = 0; i <= 5; i++) {{
+                        const gy = top + (innerH / 5) * i;
+                        grid += `<line x1="${{left}}" y1="${{gy}}" x2="${{width-right}}" y2="${{gy}}" stroke="#dbe7f0"/>`;
+                    }}
+                    trend.forEach((point, index) => {{
+                        const x = left + stepX * index;
+                        engagementPath += `${{index === 0 ? "M" : "L"}}${{x}},${{y(point.engagement_score)}} `;
+                        riskPath += `${{index === 0 ? "M" : "L"}}${{x}},${{y(point.dropout_risk)}} `;
+                        labels += `<text x="${{x}}" y="${{height-16}}" text-anchor="middle" font-size="12" fill="#657487">${{point.label}}</text>`;
+                    }});
+                    svg.innerHTML = `
+                        <rect x="0" y="0" width="${{width}}" height="${{height}}" fill="white"/>
+                        ${{grid}}
+                        <path d="${{engagementPath}}" fill="none" stroke="#28a8eb" stroke-width="4"/>
+                        <path d="${{riskPath}}" fill="none" stroke="#ef5b61" stroke-width="4"/>
+                        ${{labels}}
+                    `;
+                }}
+                function renderRadarChart(clusters) {{
+                    const svg = document.getElementById("radarChart");
+                    const cx = 210, cy = 170, radius = 118;
+                    const axes = ["video_izleme","forum_katilimi","odev_teslimi","quiz_performansi","notlara_erisim","canli_ders"];
+                    const axisLabels = {{
+                        video_izleme:"Video Izleme", forum_katilimi:"Forum Katilimi", odev_teslimi:"Odev Teslimi",
+                        quiz_performansi:"Quiz Performansi", notlara_erisim:"Notlara Erisim", canli_ders:"Canli Ders"
+                    }};
+                    const angleStep = (Math.PI * 2) / axes.length;
+                    const colors = ["#18c48f","#f1b132","#ef5b61"];
+                    let markup = "";
+                    for (let level = 1; level <= 5; level++) {{
+                        const r = (radius / 5) * level;
+                        const points = axes.map((_, i) => `${{cx + Math.cos(-Math.PI/2 + angleStep*i) * r}},${{cy + Math.sin(-Math.PI/2 + angleStep*i) * r}}`).join(" ");
+                        markup += `<polygon points="${{points}}" fill="none" stroke="#dfe7ef"/>`;
+                    }}
+                    axes.forEach((axis, i) => {{
+                        const x = cx + Math.cos(-Math.PI/2 + angleStep*i) * radius;
+                        const y = cy + Math.sin(-Math.PI/2 + angleStep*i) * radius;
+                        const lx = cx + Math.cos(-Math.PI/2 + angleStep*i) * (radius + 24);
+                        const ly = cy + Math.sin(-Math.PI/2 + angleStep*i) * (radius + 24);
+                        markup += `<line x1="${{cx}}" y1="${{cy}}" x2="${{x}}" y2="${{y}}" stroke="#dfe7ef"/>`;
+                        markup += `<text x="${{lx}}" y="${{ly}}" text-anchor="middle" font-size="12" fill="#667487">${{axisLabels[axis]}}</text>`;
+                    }});
+                    clusters.forEach((cluster, idx) => {{
+                        const points = axes.map((axis, i) => {{
+                            const r = radius * ((cluster.values[axis] || 0) / 100);
+                            return `${{cx + Math.cos(-Math.PI/2 + angleStep*i) * r}},${{cy + Math.sin(-Math.PI/2 + angleStep*i) * r}}`;
+                        }}).join(" ");
+                        markup += `<polygon points="${{points}}" fill="${{colors[idx]}}22" stroke="${{colors[idx]}}" stroke-width="3"/>`;
+                    }});
+                    svg.innerHTML = markup;
+                }}
+                async function loadDashboard() {{
+                    const dashboard = await fetch("{dashboard_api}").then((r) => r.json());
+                    const recommendations = await fetch("{recommendations_api}").then((r) => r.json()).catch(() => ({{ items: [] }}));
+                    setText("dropoutRisk", `%${{(dashboard.dropout_risk * 100).toFixed(1)}}`);
+                    setText("dropoutSub", `Basari olasiligi %${{(dashboard.success_probability * 100).toFixed(1)}}`);
+                    setText("activityIndex", dashboard.activity_index.toFixed(1));
+                    setText("activitySub", `${{dashboard.time_on_task_minutes_7d.toFixed(1)}} dakika / son 7 gun`);
+                    setText("engagementScore", `${{dashboard.ai_engagement_score.toFixed(0)}}/100`);
+                    setText("engagementSub", `Ortalama ustu AI etkilesimi`);
+                    setText("cognitiveLoad", dashboard.cognitive_load_estimate);
+                    setText("cognitiveSub", `%${{dashboard.cognitive_load_share.toFixed(0)}} ogrenci profili ile benzer`);
+                    document.getElementById("feedbackList").innerHTML = dashboard.adaptive_feedback.map((item) => `<li>${{item}}</li>`).join("");
+                    document.getElementById("recommendationList").innerHTML = recommendations.items.map((item) => `<li>Modul <strong>${{item.module_id}}</strong> — skor ${{item.score}}</li>`).join("");
+                    renderTrendChart(dashboard.trend);
+                    renderRadarChart(dashboard.behavior_clusters);
+                }}
+                loadDashboard().catch((error) => {{
+                    document.getElementById("feedbackList").innerHTML = `<li>Dashboard yuklenemedi: ${{error.message}}</li>`;
+                }});
+            </script>
         </body>
         </html>
         """

backend/app/models/schemas.py CHANGED Viewed

@@ -58,6 +58,17 @@ class LearnerRegistrationResponse(BaseModel):
     next_step: str = "complete_diagnostic_assessment"
 class DiagnosticSubmission(BaseModel):
     responses: list[dict[str, Any]]
@@ -254,6 +265,21 @@ class AssessmentAttemptResult(BaseModel):
     human_review_required: bool = False
 class LearnerDashboard(BaseModel):
     model_config = ConfigDict(from_attributes=True)
@@ -262,6 +288,12 @@ class LearnerDashboard(BaseModel):
     time_on_task_minutes_7d: float
     dropout_risk: float
     success_probability: float
     adaptive_feedback: list[str]

     next_step: str = "complete_diagnostic_assessment"
+class LoginRequest(BaseModel):
+    email: EmailStr
+class LoginResponse(BaseModel):
+    learner_id: UUID
+    first_name: str
+    dashboard_path: str
+    recommendations_path: str
 class DiagnosticSubmission(BaseModel):
     responses: list[dict[str, Any]]
     human_review_required: bool = False
+class DashboardTrendPoint(BaseModel):
+    model_config = ConfigDict(from_attributes=True)
+    label: str
+    engagement_score: float
+    dropout_risk: float
+class DashboardCluster(BaseModel):
+    model_config = ConfigDict(from_attributes=True)
+    label: str
+    values: dict[str, float]
 class LearnerDashboard(BaseModel):
     model_config = ConfigDict(from_attributes=True)
     time_on_task_minutes_7d: float
     dropout_risk: float
     success_probability: float
+    activity_index: float
+    ai_engagement_score: float
+    cognitive_load_estimate: str
+    cognitive_load_share: float
+    trend: list[DashboardTrendPoint]
+    behavior_clusters: list[DashboardCluster]
     adaptive_feedback: list[str]

backend/app/services/bootstrap.py CHANGED Viewed

@@ -14,128 +14,153 @@ from app.services import repository
 async def seed_demo_data(session: AsyncSession) -> None:
-    if await repository.has_modules(session):
-        return
-    module_one = ModuleDetail(
-        id="11111111-1111-1111-1111-111111111111",
-        code="AID-101",
-        title="AI-Supported Self-Regulated Learning",
-        description="Introduces learners to using AI for planning, monitoring, and reflecting on self-directed study.",
-        difficulty_level="foundation",
-        estimated_total_minutes=750,
-        topics=["self-regulation", "ai literacy"],
-        objectives=[
-            ModuleObjective(
-                text="Explain how AI tools can support planning and self-monitoring.",
-                bloom_level="understand",
-                competency_tag="self_regulated_learning",
-                measurable_outcome="Learner explains planning and monitoring strategies.",
-            ),
-            ModuleObjective(
-                text="Apply AI-supported reflection to improve study habits.",
-                bloom_level="apply",
-                competency_tag="reflective_practice",
-                measurable_outcome="Learner produces an evidence-based reflection.",
-            ),
-        ],
-        units=[
-            ModuleUnit(
-                title="Planning with AI",
-                unit_type="video",
-                chunk_minutes=12,
-                content_ref="/content/modules/aid-101/planning-with-ai",
-            ),
-            ModuleUnit(
-                title="Monitoring Progress",
-                unit_type="reading",
-                chunk_minutes=10,
-                content_ref="/content/modules/aid-101/monitoring-progress",
-            ),
-        ],
-        activities=[
-            ModuleActivity(
-                title="Study Strategy Reflection",
-                activity_type="reflection",
-                instructions="Reflect on how AI could improve your weekly study routine.",
-                max_score=20,
-            )
-        ],
-        completion_criteria=ModuleCompletionCriteria(
-            min_unit_completion_ratio=0.85,
-            min_formative_score=70,
-            min_time_on_task_minutes=300,
         ),
-        module_vector=[0.35, 0.7, 0.5],
-    )
-    module_two = ModuleDetail(
-        id="22222222-2222-2222-2222-222222222222",
-        code="AID-205",
-        title="Scenario-Based Problem Solving with AI",
-        description="Builds authentic problem-solving skills through case analysis and AI-supported reasoning.",
-        difficulty_level="intermediate",
-        estimated_total_minutes=780,
-        topics=["problem solving", "scenario analysis"],
-        objectives=[
-            ModuleObjective(
-                text="Analyze scenario constraints and choose suitable AI-supported strategies.",
-                bloom_level="analyze",
-                competency_tag="applied_ai_literacy",
-                measurable_outcome="Learner compares alternative strategies in a case.",
-            ),
-            ModuleObjective(
-                text="Evaluate outputs for reliability, bias, and usefulness.",
-                bloom_level="evaluate",
-                competency_tag="critical_evaluation",
-                measurable_outcome="Learner critiques AI output quality.",
-            ),
-        ],
-        units=[
-            ModuleUnit(
-                title="Interpreting Realistic Cases",
-                unit_type="simulation",
-                chunk_minutes=15,
-                content_ref="/content/modules/aid-205/interpreting-cases",
-            ),
-            ModuleUnit(
-                title="Evaluating AI Output",
-                unit_type="interactive",
-                chunk_minutes=14,
-                content_ref="/content/modules/aid-205/evaluating-output",
-            ),
-        ],
-        activities=[
-            ModuleActivity(
-                title="Case Analysis Quiz",
-                activity_type="quiz",
-                instructions="Select and justify the best response in each scenario.",
-                max_score=30,
-            )
-        ],
-        completion_criteria=ModuleCompletionCriteria(
-            min_unit_completion_ratio=0.9,
-            min_formative_score=75,
-            min_time_on_task_minutes=320,
         ),
-        prerequisites=["11111111-1111-1111-1111-111111111111"],
-        module_vector=[0.65, 0.8, 0.6],
-    )
-    await repository.create_module(session, module_one)
-    await repository.create_module(session, module_two)
-    await repository.create_assessment(
-        session,
         AssessmentDefinition(
-            id="33333333-3333-3333-3333-333333333333",
-            module_id=module_one.id,
             assessment_type="summative",
-            title="AID-101 Summative Assessment",
-            blueprint={
-                "objectives": ["self_regulated_learning", "reflective_practice"],
-                "time_per_item_seconds": 420,
-            },
             time_limit_minutes=45,
-        )
-    )

 async def seed_demo_data(session: AsyncSession) -> None:
+    existing_modules = await repository.list_modules(session)
+    existing_codes = {module.code for module in existing_modules}
+    modules = [
+        ModuleDetail(
+            id="11111111-1111-1111-1111-111111111111",
+            code="AID-101",
+            title="AI Nedir?",
+            description="Yapay zekanin tanimini, kapsamini, alt alanlarini ve gundelik yasamdaki uygulamalarini ele alan 5 ECTS giris modulu.",
+            difficulty_level="foundation",
+            estimated_total_minutes=750,
+            topics=["ai foundations", "ai literacy"],
+            objectives=[
+                ModuleObjective(
+                    text="Yapay zekanin ne oldugunu ve hangi problem turlerinde kullanildigini acikla.",
+                    bloom_level="understand",
+                    competency_tag="ai_foundations",
+                    measurable_outcome="Ogrenen, AI kavramini ve temel kullanim alanlarini tanimlar.",
+                ),
+                ModuleObjective(
+                    text="Yapay zekayi otomasyon, algoritma ve insan zekasi kavramlariyla iliskilendir.",
+                    bloom_level="analyze",
+                    competency_tag="ai_context",
+                    measurable_outcome="Ogrenen, AI kavramini ilgili kavramlardan ayirt eder.",
+                ),
+            ],
+            units=[
+                ModuleUnit(title="Yapay Zekaya Giris", unit_type="video", chunk_minutes=12, content_ref="/content/modules/aid-101/intro"),
+                ModuleUnit(title="AI'nin Uygulama Alanlari", unit_type="reading", chunk_minutes=14, content_ref="/content/modules/aid-101/applications"),
+                ModuleUnit(title="AI Mitleri ve Gercekler", unit_type="interactive", chunk_minutes=10, content_ref="/content/modules/aid-101/myths"),
+            ],
+            activities=[
+                ModuleActivity(title="Kavram Esleme Quiz", activity_type="quiz", instructions="AI, otomasyon ve algoritma kavramlarini dogru tanimlarla eslestir.", max_score=20),
+                ModuleActivity(title="Kisa Yansitma", activity_type="reflection", instructions="Gundelik yasaminda AI kullanimina uc ornek ver ve neden AI oldugunu acikla.", max_score=20),
+            ],
+            completion_criteria=ModuleCompletionCriteria(min_unit_completion_ratio=0.85, min_formative_score=70, min_time_on_task_minutes=300),
+            module_vector=[0.25, 0.40, 0.15],
         ),
+        ModuleDetail(
+            id="22222222-2222-2222-2222-222222222222",
+            code="AID-102",
+            title="AI Nasil Calisir?",
+            description="Veri, ozellik, model, tahmin, hata ve degerlendirme mantigini aciklayan 5 ECTS temel modul.",
+            difficulty_level="foundation",
+            estimated_total_minutes=750,
+            topics=["machine learning", "data", "model inference"],
+            objectives=[
+                ModuleObjective(
+                    text="Veri, ozellik ve model arasindaki iliskiyi acikla.",
+                    bloom_level="understand",
+                    competency_tag="model_logic",
+                    measurable_outcome="Ogrenen, basit bir modelleme akisini tanimlar.",
+                ),
+                ModuleObjective(
+                    text="Bir AI sisteminin tahmin ve degerlendirme surecini ornekle acikla.",
+                    bloom_level="apply",
+                    competency_tag="inference_evaluation",
+                    measurable_outcome="Ogrenen, model ciktilarini dogruluk ve hata baglaminda yorumlar.",
+                ),
+            ],
+            units=[
+                ModuleUnit(title="Veri ve Ozellikler", unit_type="reading", chunk_minutes=12, content_ref="/content/modules/aid-102/data-features"),
+                ModuleUnit(title="Model ve Tahmin", unit_type="video", chunk_minutes=13, content_ref="/content/modules/aid-102/model-inference"),
+                ModuleUnit(title="Dogruluk ve Hata", unit_type="interactive", chunk_minutes=15, content_ref="/content/modules/aid-102/evaluation"),
+            ],
+            activities=[
+                ModuleActivity(title="Tahmin Simulasyonu", activity_type="simulation", instructions="Ornek veri uzerinden model girdisi ve ciktilarini yorumla.", max_score=25),
+                ModuleActivity(title="Mini Vaka Analizi", activity_type="quiz", instructions="Basit bir AI sisteminin nasil karar verdigini secenekler arasindan belirle.", max_score=20),
+            ],
+            completion_criteria=ModuleCompletionCriteria(min_unit_completion_ratio=0.85, min_formative_score=72, min_time_on_task_minutes=300),
+            prerequisites=["11111111-1111-1111-1111-111111111111"],
+            module_vector=[0.45, 0.58, 0.32],
+        ),
+        ModuleDetail(
+            id="33333333-3333-3333-3333-333333333333",
+            code="AID-103",
+            title="AI Nasil Egitilir?",
+            description="Model egitimi, veri bolme, dogrulama, test, overfitting ve etik riskleri ele alan 5 ECTS modul.",
+            difficulty_level="intermediate",
+            estimated_total_minutes=750,
+            topics=["model training", "validation", "ai ethics"],
+            objectives=[
+                ModuleObjective(
+                    text="Bir modelin egitim, dogrulama ve test surecini acikla.",
+                    bloom_level="analyze",
+                    competency_tag="training_pipeline",
+                    measurable_outcome="Ogrenen, model egitiminin asamalarini dogru sira ile aciklar.",
+                ),
+                ModuleObjective(
+                    text="Bias, overfitting ve guvenilirlik risklerini degerlendir.",
+                    bloom_level="evaluate",
+                    competency_tag="responsible_ai",
+                    measurable_outcome="Ogrenen, model kalitesi ve etik riskleri tartisir.",
+                ),
+            ],
+            units=[
+                ModuleUnit(title="Model Egitim Akisi", unit_type="video", chunk_minutes=14, content_ref="/content/modules/aid-103/training-pipeline"),
+                ModuleUnit(title="Validation ve Test", unit_type="reading", chunk_minutes=12, content_ref="/content/modules/aid-103/validation-test"),
+                ModuleUnit(title="Bias ve Overfitting", unit_type="interactive", chunk_minutes=15, content_ref="/content/modules/aid-103/bias-overfitting"),
+            ],
+            activities=[
+                ModuleActivity(title="Train-Validation-Test Gorevi", activity_type="simulation", instructions="Veri setini dogru asamalara dagit ve en uygun egitim akisini sec.", max_score=25),
+                ModuleActivity(title="Etik Risk Tartismasi", activity_type="reflection", instructions="Bir modelin yanli veya guvenilmez hale gelmesine yol acabilecek riskleri acikla.", max_score=20),
+            ],
+            completion_criteria=ModuleCompletionCriteria(min_unit_completion_ratio=0.90, min_formative_score=75, min_time_on_task_minutes=320),
+            prerequisites=["22222222-2222-2222-2222-222222222222"],
+            module_vector=[0.66, 0.72, 0.44],
         ),
+    ]
+    created_codes: set[str] = set()
+    for module in modules:
+        if module.code not in existing_codes:
+            await repository.create_module(session, module)
+            created_codes.add(module.code)
+    assessments = [
         AssessmentDefinition(
+            id="44444444-4444-4444-4444-444444444444",
+            module_id="11111111-1111-1111-1111-111111111111",
+            assessment_type="summative",
+            title="AI Nedir? Summative Assessment",
+            blueprint={"objectives": ["ai_foundations", "ai_context"], "time_per_item_seconds": 360},
+            time_limit_minutes=40,
+        ),
+        AssessmentDefinition(
+            id="55555555-5555-5555-5555-555555555555",
+            module_id="22222222-2222-2222-2222-222222222222",
+            assessment_type="summative",
+            title="AI Nasil Calisir? Summative Assessment",
+            blueprint={"objectives": ["model_logic", "inference_evaluation"], "time_per_item_seconds": 360},
+            time_limit_minutes=40,
+        ),
+        AssessmentDefinition(
+            id="66666666-6666-6666-6666-666666666666",
+            module_id="33333333-3333-3333-3333-333333333333",
             assessment_type="summative",
+            title="AI Nasil Egitilir? Summative Assessment",
+            blueprint={"objectives": ["training_pipeline", "responsible_ai"], "time_per_item_seconds": 420},
             time_limit_minutes=45,
+        ),
+    ]
+    assessment_by_code = {
+        "AID-101": assessments[0],
+        "AID-102": assessments[1],
+        "AID-103": assessments[2],
+    }
+    for code in created_codes:
+        await repository.create_assessment(session, assessment_by_code[code])

backend/app/services/engines.py CHANGED Viewed

@@ -10,6 +10,8 @@ from app.models.schemas import (
     AssessmentAttemptResult,
     AssessmentDefinition,
     AssessmentItem,
     DiagnosticSubmission,
     InteractionEvent,
     LearnerDashboard,
@@ -157,6 +159,47 @@ async def build_dashboard(session: AsyncSession, learner: LearnerRecord) -> Lear
     total_minutes = round(sum((item.duration_ms or 0) for item in interactions) / 60000, 2)
     dropout_risk = learner.risk_profile.get("dropout_risk", 0.3)
     success_probability = round(max(0.2, 1 - dropout_risk + 0.15), 2)
     return LearnerDashboard(
         learner_id=learner.id,
@@ -164,6 +207,12 @@ async def build_dashboard(session: AsyncSession, learner: LearnerRecord) -> Lear
         time_on_task_minutes_7d=total_minutes,
         dropout_risk=dropout_risk,
         success_probability=success_probability,
         adaptive_feedback=[
             "Continue with short focused sessions of 10 to 15 minutes.",
             "Prioritize scenario-based practice to improve transfer and assessment performance.",

     AssessmentAttemptResult,
     AssessmentDefinition,
     AssessmentItem,
+    DashboardCluster,
+    DashboardTrendPoint,
     DiagnosticSubmission,
     InteractionEvent,
     LearnerDashboard,
     total_minutes = round(sum((item.duration_ms or 0) for item in interactions) / 60000, 2)
     dropout_risk = learner.risk_profile.get("dropout_risk", 0.3)
     success_probability = round(max(0.2, 1 - dropout_risk + 0.15), 2)
+    activity_index = round(min(100.0, 48 + total_minutes * 1.2 + len(interactions) * 1.8), 1)
+    ai_engagement_score = round(min(100.0, 44 + learner.readiness_score * 0.28 + len(interactions) * 2.4), 1)
+    if learner.readiness_score >= 70:
+        cognitive_load_estimate = "Orta"
+        cognitive_load_share = 36.0
+    elif learner.readiness_score >= 45:
+        cognitive_load_estimate = "Yuksek"
+        cognitive_load_share = 42.0
+    else:
+        cognitive_load_estimate = "Cok Yuksek"
+        cognitive_load_share = 55.0
+    base_engagement = max(35.0, min(92.0, activity_index))
+    base_risk = round(dropout_risk * 100, 1)
+    trend = [
+        DashboardTrendPoint(label="1 Mar", engagement_score=round(base_engagement - 4, 1), dropout_risk=max(4.0, round(base_risk - 3, 1))),
+        DashboardTrendPoint(label="5 Mar", engagement_score=round(base_engagement - 1, 1), dropout_risk=max(4.0, round(base_risk - 4, 1))),
+        DashboardTrendPoint(label="10 Mar", engagement_score=round(base_engagement + 3, 1), dropout_risk=max(4.0, round(base_risk - 5, 1))),
+        DashboardTrendPoint(label="15 Mar", engagement_score=round(base_engagement - 7, 1), dropout_risk=round(base_risk + 3, 1)),
+        DashboardTrendPoint(label="20 Mar", engagement_score=round(base_engagement - 2, 1), dropout_risk=round(base_risk + 1, 1)),
+        DashboardTrendPoint(label="25 Mar", engagement_score=round(base_engagement - 3, 1), dropout_risk=round(base_risk + 2, 1)),
+        DashboardTrendPoint(label="30 Mar", engagement_score=round(base_engagement + 1, 1), dropout_risk=max(4.0, round(base_risk, 1))),
+        DashboardTrendPoint(label="5 Nis", engagement_score=round(base_engagement + 2, 1), dropout_risk=max(4.0, round(base_risk - 1, 1))),
+        DashboardTrendPoint(label="10 Nis", engagement_score=round(base_engagement - 1, 1), dropout_risk=round(base_risk + 3, 1)),
+    ]
+    behavior_clusters = [
+        DashboardCluster(
+            label="Yuksek Performanslilar",
+            values={"video_izleme": 88, "forum_katilimi": 72, "odev_teslimi": 92, "quiz_performansi": 84, "notlara_erisim": 86, "canli_ders": 70},
+        ),
+        DashboardCluster(
+            label="Orta Performanslilar",
+            values={"video_izleme": 68, "forum_katilimi": 54, "odev_teslimi": 74, "quiz_performansi": 58, "notlara_erisim": 76, "canli_ders": 48},
+        ),
+        DashboardCluster(
+            label="Dusuk Performanslilar",
+            values={"video_izleme": 42, "forum_katilimi": 24, "odev_teslimi": 46, "quiz_performansi": 18, "notlara_erisim": 52, "canli_ders": 14},
+        ),
+    ]
     return LearnerDashboard(
         learner_id=learner.id,
         time_on_task_minutes_7d=total_minutes,
         dropout_risk=dropout_risk,
         success_probability=success_probability,
+        activity_index=activity_index,
+        ai_engagement_score=ai_engagement_score,
+        cognitive_load_estimate=cognitive_load_estimate,
+        cognitive_load_share=cognitive_load_share,
+        trend=trend,
+        behavior_clusters=behavior_clusters,
         adaptive_feedback=[
             "Continue with short focused sessions of 10 to 15 minutes.",
             "Prioritize scenario-based practice to improve transfer and assessment performance.",

backend/app/services/repository.py CHANGED Viewed

@@ -4,6 +4,7 @@ from uuid import UUID
 from fastapi import HTTPException, status
 from sqlalchemy import select
 from sqlalchemy.ext.asyncio import AsyncSession
 from sqlalchemy.orm import selectinload
@@ -154,6 +155,10 @@ def _attempt_to_schema(model: AssessmentAttemptORM) -> AssessmentAttempt:
 async def create_learner(session: AsyncSession, record: LearnerRecord) -> LearnerRecord:
     learner = LearnerORM(
         id=record.id,
         email=str(record.email),
@@ -191,7 +196,11 @@ async def create_learner(session: AsyncSession, record: LearnerRecord) -> Learne
         ],
     )
     session.add(learner)
-    await session.commit()
     await session.refresh(learner)
     return await get_learner(session, learner.id)
@@ -249,6 +258,18 @@ async def get_learner(session: AsyncSession, learner_id: UUID) -> LearnerRecord:
     return _learner_to_schema(learner)
 async def list_modules(session: AsyncSession) -> list[ModuleDetail]:
     stmt = select(ModuleORM).options(
         selectinload(ModuleORM.objectives),

 from fastapi import HTTPException, status
 from sqlalchemy import select
+from sqlalchemy.exc import IntegrityError
 from sqlalchemy.ext.asyncio import AsyncSession
 from sqlalchemy.orm import selectinload
 async def create_learner(session: AsyncSession, record: LearnerRecord) -> LearnerRecord:
+    existing_stmt = select(LearnerORM.id).where(LearnerORM.email == str(record.email))
+    if (await session.execute(existing_stmt)).scalar_one_or_none() is not None:
+        raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="Learner already exists with this email")
     learner = LearnerORM(
         id=record.id,
         email=str(record.email),
         ],
     )
     session.add(learner)
+    try:
+        await session.commit()
+    except IntegrityError as exc:
+        await session.rollback()
+        raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="Learner already exists with this email") from exc
     await session.refresh(learner)
     return await get_learner(session, learner.id)
     return _learner_to_schema(learner)
+async def get_learner_by_email(session: AsyncSession, email: str) -> LearnerRecord:
+    stmt = (
+        select(LearnerORM)
+        .where(LearnerORM.email == email)
+        .options(selectinload(LearnerORM.prior_learning_items), selectinload(LearnerORM.goals))
+    )
+    learner = (await session.execute(stmt)).scalar_one_or_none()
+    if learner is None:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="No learner found for this email")
+    return _learner_to_schema(learner)
 async def list_modules(session: AsyncSession) -> list[ModuleDetail]:
     stmt = select(ModuleORM).options(
         selectinload(ModuleORM.objectives),