feat: major platform upgrade with 16 new features#1
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fdciabdul wants to merge 9 commits intodalpan:mainfrom
Open
feat: major platform upgrade with 16 new features#1fdciabdul wants to merge 9 commits intodalpan:mainfrom
fdciabdul wants to merge 9 commits intodalpan:mainfrom
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- Multi-user registration with role-based access (admin/instructor/trainee) - Gamification system: XP, levels, 12 badges, daily streaks - Leaderboard with global and team rankings - Analytics dashboard with Recharts (radar, line, bar, pie charts) - Organization/team management with invite codes - Campaign mode for multi-stage attack simulations - Post-simulation debrief with Cialdini analysis and AI deep analysis - Custom scenario builder UI with visual node editor - Email simulation renderer (Gmail-style) - Certificate generation (Platinum/Gold/Silver/Bronze) - Adaptive difficulty AI based on user performance - Notification system with real-time bell component - Webhook/Slack integration for event callbacks - Dark/light theme toggle with CSS variable system - Voice simulation (vishing) via Web Speech API - PWA support with manifest.json Also includes: - Backend refactored from monolithic server.py to modular architecture - Rate limiting on auth endpoints - Docker healthchecks for all services - GitHub Actions CI/CD pipeline - Ruff linter configuration - .env.example for contributor onboarding - Bug fixes: missing sanitize_llm_output, unreachable dead code Co-Authored-By: cp <cp@imtaqin.id>
- Add OpenRouter provider with 16+ models (free models available)
- Add OpenAI provider (GPT-4o, GPT-4o Mini, GPT-3.5 Turbo)
- Add local LLM support (Ollama, LM Studio, llama.cpp)
- Add /api/llm/providers endpoint with provider info and signup URLs
- Add /api/llm/models/{provider} with static + live model catalogs
- Add /api/llm/models/{provider}/refresh for dynamic model fetching
- OpenRouter: live model list fetch from API (200+ models)
- Local LLM: auto-detect models from Ollama/OpenAI-compatible endpoints
- LLMConfig model updated with base_url field for custom endpoints
- Settings page fully rewritten with:
- Visual provider selector grid
- Searchable model list with context length info
- Free model indicators
- Local server connection status indicator
- Quick presets for Ollama/LM Studio/llama.cpp
- Custom model ID input
- Provider guide sidebar
Co-Authored-By: cp <cp@imtaqin.id>
- Fix all E501 line-too-long errors across 20+ files - Run ruff format on entire backend codebase - Add B008, B904, S110 to ruff ignore list (FastAPI patterns) - Fix F841 unused variable in debrief route - All ruff check + ruff format --check now pass clean Co-Authored-By: cp <cp@imtaqin.id>
- Complete README rewrite: professional structure, feature tables,
architecture diagram, API overview, LLM provider guide
- Remove obsolete `version` key from docker-compose.yml
- Remove `env_file: .env` (caused failure on fresh clones)
- Auto-create .env from .env.example in `make build` and `make up`
- All env vars use defaults via ${VAR:-default} syntax
Co-Authored-By: cp <cp@imtaqin.id>
- Frontend: 3000 → 9443 - Backend: 8001 → 9442 - MongoDB: 27017 → 47017 - All ports configurable via FRONTEND_PORT, BACKEND_PORT, MONGO_PORT in .env - Updated .env.example, Makefile, README with new defaults Co-Authored-By: cp <cp@imtaqin.id>
React CRA bakes REACT_APP_* env vars at build time (yarn build), not at runtime. Added ARG in Dockerfile.frontend and build.args in docker-compose so .env value is injected during docker build. Co-Authored-By: cp <cp@imtaqin.id>
Captured via Playwright E2E test on lab.imtaqin.id: - Installer, Login, Dashboard, AI Challenge selection - AI Chat simulation (The Urgent CEO - BEC scenario) - Settings page with OpenRouter model list (200+ models) - Leaderboard with XP/levels/streaks - Scenarios page README updated with collapsible screenshot gallery. Co-Authored-By: cp <cp@imtaqin.id>
New AI Personas (16 total now): - CEO Video Call (Deepfake) — AI-generated video impersonation - Security Researcher — watering hole / technical phishing - Conference Contact — reconnaissance pretexting - Disgruntled Contractor — insider threat via sympathy - Disaster Relief Coordinator — charity fraud - Persistent Hacker — MFA fatigue + social engineering - Family Emergency (AI Voice) — voice cloning vishing - Parking Enforcement — QR code phishing (quishing) New Challenge Scenarios: - Deepfake CEO Video Call (hard, 3 decision points, 7 outcomes) - MFA Fatigue Attack (hard, multi-stage with SOC impersonation) - The Security Researcher (hard, watering hole with fake PoC) - AI Voice Clone Family Emergency (hard, emotional manipulation) - QR Code Parking Scam (easy, physical social engineering) - Conference Contact Recon (medium, slow-burn intelligence gathering) New Quizzes: - Advanced Social Engineering Threats (8 questions, deepfake/MFA/quishing) - Cialdini Principles Mastery (7 questions, principle identification) All content is bilingual (EN/ID) with complex branching paths. Co-Authored-By: cp <cp@imtaqin.id>
1. Auto-import: backend now auto-imports all YAML data from data/sample/ and data/professionals/ on first startup when database is empty. No more manual `make seed` needed. 2. Mobile dashboard: stats grid now 2-col on mobile, responsive text sizes, tighter spacing on small screens. 3. Chat auto-focus: input field automatically refocuses after AI responds, so users can immediately type their reply without clicking the input again. Co-Authored-By: cp <cp@imtaqin.id>
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