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Merge pull request #2 from Himdeunn/feature/lint-and-readme-fix
fix(ci): fix ESLint violations for green CI, implement dynamic Gemini API key rotation from environment config, update README with browser manual testing guide
2 parents b2154a2 + d2c15b8 commit fbe4b28

40 files changed

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README.md

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```bash
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git clone https://github.com/Himdeunn/flowforge.git
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cd flowforge/apps/api
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cd flowforge
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# Install API deps
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cd apps/api
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npm install
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# Install Web deps
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cd ../web
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npm install
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```
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### 2. Configure Environment
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```bash
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cp .env.example .env
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# Edit .env with your local values
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```
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Create a `.env` file inside `apps/api/` based on the `.env.example` template:
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Key variables:
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```bash
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DATABASE_URL=postgresql://flowforge:flowforge@localhost:5432/flowforge
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MONGODB_URI=mongodb://localhost:27017/flowforge_logs
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REDIS_URL=redis://localhost:6379
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JWT_ACCESS_SECRET=changeme-access-secret
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JWT_REFRESH_SECRET=changeme-refresh-secret
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GEMINI_API_KEY=your-gemini-api-key-here
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cp apps/api/.env.example apps/api/.env
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```
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> [!IMPORTANT]
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> To use the AI generation features, make sure `GEMINI_API_KEY` in the `.env` file is set to a valid API key. The application is pre-configured with 5 rotated API keys for Gemini to handle rate limits, but you can also supply your own key in `.env`.
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### 3. Run Migrations
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```bash
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cd apps/api
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npx prisma migrate dev
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```
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### 4. Start Development Server
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### 4. Start Development Servers
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Run the backend API:
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```bash
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cd apps/api
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npm run start:dev
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```
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API available at: `http://localhost:3000/api/v1`
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Swagger docs at: `http://localhost:3000/api/docs`
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Run the frontend dashboard:
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```bash
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cd apps/web
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npm run dev
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```
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Dashboard available at: `http://localhost:5173`
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---
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## 🐳 Docker Compose (Full Stack)
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## 🐳 Docker Compose (Production Build)
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```bash
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# From repository root
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docker-compose up --build
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```
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Services started:
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| Service | Port | Description |
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|---------|------|-------------|
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| API | `3000` | NestJS REST + WebSocket |
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| Web | `5173` | React Dashboard |
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| PostgreSQL | `5432` | Relational DB |
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| MongoDB | `27017` | Execution log store |
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| Redis | `6379` | Queue + Rate limiting |
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- **API** (NestJS): `http://localhost:3000/api/v1`
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- **Web** (React + Nginx): `http://localhost:5173`
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- **PostgreSQL**: port `5432`
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- **MongoDB**: port `27017`
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- **Redis**: port `6379`
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---
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@@ -103,124 +109,86 @@ PostgreSQL BullMQ (Redis) MongoDB
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### Key Design Decisions
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| Layer | Choice | Rationale |
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|-------|--------|-----------|
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| Backend | NestJS + TypeScript | Modular architecture with built-in DI, great for RBAC/validation |
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| Execution | Custom DAG executor + BullMQ | Redis-backed queue for async, retry/backoff built-in |
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| Database | PostgreSQL via Prisma | ACID transactions for CRUD + versioning |
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| Log Store | MongoDB (append-only) | Write-heavy, schema-flexible per step type |
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| Real-time | Socket.IO | Bidirectional, room-per-run subscription model |
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| AI Feature | Gemini 2.5 Flash | Structured JSON output mode, fast, low-cost |
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- **Backend Architecture**: Built using NestJS with strict modular architecture (Auth, Workflows, Runs, Execution, Webhooks, Queue, AI, WebSockets).
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- **Tenant Isolation**: Handled via custom Prisma client proxy interceptor that automatically appends `tenant_id` filters to all database queries based on the verified JWT claims.
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- **Asynchronous Execution**: Powered by BullMQ and Redis to separate API request handling from long-running workflow executions.
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- **Real-Time Updates**: Bidirectional event streaming using Socket.IO to notify the dashboard when steps change status (pending → running → success/failed).
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- **Execution Log Store**: Append-only log entries stored in MongoDB to keep log volume out of the relational database.
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---
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## 📋 API Documentation
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Interactive Swagger UI: `http://localhost:3000/api/docs`
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### Auth Endpoints
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| Method | Endpoint | Description |
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|--------|----------|-------------|
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| POST | `/api/v1/auth/register` | Register new tenant + admin user |
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| POST | `/api/v1/auth/login` | Login → access + refresh tokens |
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| POST | `/api/v1/auth/refresh` | Refresh access token |
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| POST | `/api/v1/auth/logout` | Invalidate refresh token |
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### Workflow Endpoints
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| Method | Endpoint | Auth |
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|--------|----------|------|
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| GET | `/api/v1/workflows` | All roles |
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| POST | `/api/v1/workflows` | Admin, Editor |
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| GET | `/api/v1/workflows/:id` | All roles |
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| PUT | `/api/v1/workflows/:id` | Admin, Editor |
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| DELETE | `/api/v1/workflows/:id` | Admin |
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| POST | `/api/v1/workflows/:id/trigger` | Admin, Editor |
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| POST | `/api/v1/workflows/:id/versions/:vId/rollback` | Admin, Editor |
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| POST | `/api/v1/webhooks/:webhookToken/trigger` | Public (token-verified) |
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### AI Endpoint
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| Method | Endpoint | Description |
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|--------|----------|-------------|
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| POST | `/api/v1/ai/generate-workflow` | Generate DAG from natural language |
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### Key Endpoints
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- **Auth**: `POST /auth/register`, `POST /auth/login`, `POST /auth/refresh`, `POST /auth/logout`
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- **Workflows**: `GET /workflows`, `POST /workflows`, `PUT /workflows/:id`, `DELETE /workflows/:id`, `POST /workflows/:id/trigger`, `POST /workflows/:id/versions/:versionId/rollback`
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- **Runs**: `GET /runs`, `GET /runs/:id`, `GET /runs/:id/logs`, `GET /runs/health-summary`
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- **AI**: `POST /ai/generate-workflow`
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- **Webhooks**: `POST /webhooks/:webhookToken/trigger` (Public trigger endpoint)
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---
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## 🧪 Testing
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```bash
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# Unit tests
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# Unit & Integration tests
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cd apps/api
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npm run test
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# E2E tests (requires running Postgres, MongoDB, Redis)
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# E2E integration tests (requires local PostgreSQL, MongoDB, Redis running)
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npm run test:e2e
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# Coverage
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npm run test:cov
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```
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### Test Coverage Summary
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| Layer | Tool | Coverage |
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|-------|------|----------|
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| Unit | Jest | DAG parser, topo-sort, execution engine (retry/timeout), AI service, WebSocket gateway |
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| Integration | Jest + Supertest | Auth flow, CRUD workflows, tenant isolation (2-tenant), rate limiting, pagination |
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| E2E | Jest + Supertest | Create workflow → trigger → poll status → assert completed |
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---
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## 🔐 Security
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- **Tenant Isolation**: `tenantId` always from JWT claim, never from request body — enforced by `TenantGuard` + Prisma middleware
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- **Passwords**: bcrypt hashed (cost 10), never returned in API responses
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- **JWT**: Access token 15min, refresh token 7d stored in Redis (invalidatable)
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- **Webhook**: 32-byte random token per workflow
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- **Rate Limiting**: Redis sliding window 100 req/min per tenant
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- **Input Validation**: `class-validator` with `forbidNonWhitelisted: true`
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- **Script Sandbox**: `vm` module with timeout for `script` step type
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## 💻 Manual Testing Guide (Browser Walkthrough)
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To manually test the application and see the real-time Multi-Tenant DAG execution in action, follow these steps:
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### Step 1: Account Creation & Tenant Registration
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1. Open your browser and navigate to `http://localhost:5173`.
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2. Select the **Create Account** tab.
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3. Fill out the fields:
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- **Organization Name**: e.g., `Acme Corp`
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- **Slug (unique ID)**: e.g., `acme-corp`
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- **Email**: `admin@acme.com`
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- **Password**: `StrongPassword123!`
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4. Click **Create Account**. You will be registered, logged in, and redirected to the **Dashboard** page.
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### Step 2: System Health Dashboard
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1. The dashboard displays 4 stats cards: **Active Runs**, **Success Rate**, **Avg Duration**, and **Total Runs (24h)**. These aggregate all workflow runs within the tenant slug.
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2. The **Recent Runs** list at the bottom will initially be empty.
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### Step 3: Natural Language AI Workflow Builder
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1. Click **AI Builder** in the sidebar.
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2. Under **Describe Your Workflow**, type a prompt in natural language, for example:
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> *"Wait 3 seconds, then fetch orders from https://httpbin.org/get, and then use a script to check if the status is 200"*
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3. Click the **✨ Generate DAG** button.
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4. The backend will query Gemini, rotate keys if needed, validate the generated DAG structure (ensuring no cycles exist), and display the result.
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5. In the right panel, you will see the generated steps. You can review and edit the raw DAG JSON.
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6. Click **💾 Save as Workflow**, enter a name (e.g., `Order Fulfillment Process`), and click **Confirm Save**.
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173+
### Step 4: Manage & Trigger Workflows
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1. Go to the **Workflows** page in the sidebar.
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2. You will see your newly created workflow card displaying its name, active version (`v1`), step count, and cron schedules if any.
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3. Click the **▶ Trigger** button on the card. This immediately dispatches an execution request, queues the run in BullMQ, and initiates the background worker.
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### Step 5: Real-Time DAG Visualizer & History
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1. Click **Run History** in the sidebar.
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2. Select the latest run ID from the left list.
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3. In the center panel, a visual graph representation of your DAG will render using **ReactFlow**.
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4. Watch the step nodes change border colors in real-time as they run:
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- Border turns **Amber/Yellow** when the step is `running`.
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- Border turns **Green** when the step completes with `success`.
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- Border turns **Red** if the step fails.
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5. At the bottom, the **Execution Logs** card streams log statements in real-time straight from MongoDB, detailing timeouts, retries, and errors.
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---
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## ⚖️ Trade-offs & Future Improvements
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| Trade-off | Current Decision | Future Improvement |
186-
|-----------|-----------------|-------------------|
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| MongoDB vs PostgreSQL for logs | MongoDB for schema flexibility + append-only writes | Consider TimescaleDB for full SQL analytics |
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| In-process worker vs separate service | Single process in dev, `DISABLE_WORKER=true` to separate | Deploy as separate ECS Fargate service in production |
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| Rate limiting with Redis | Simple sliding window per tenant | Add per-IP limiting for public endpoints (webhook, login) |
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| WebSocket auth | Simple room join — no JWT validation on WS | Add JWT verification on `subscribe:run` event |
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| Script sandbox | Node.js `vm` module | Replace with `isolated-vm` for full V8 isolation |
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---
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195-
## 📁 Project Structure
196-
197-
```
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flowforge/
199-
├── apps/
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│ ├── api/ # NestJS backend
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│ │ ├── src/
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│ │ │ ├── auth/ # JWT strategy, guards, RBAC
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│ │ │ ├── ai/ # Gemini-powered NL workflow builder
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│ │ │ ├── common/ # Rate limiter guard, interceptors
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│ │ │ ├── execution/ # DAG parser, topo-sort, execution engine
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│ │ │ ├── queue/ # BullMQ producer + consumer
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│ │ │ ├── runs/ # Run CRUD + health panel
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│ │ │ ├── websocket/ # Socket.IO gateway
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│ │ │ └── workflows/ # Workflow CRUD + versioning
210-
│ │ ├── prisma/ # Schema + migrations
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│ │ └── test/ # E2E integration tests
212-
│ └── web/ # React frontend (Vite + TailwindCSS)
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├── docs/
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│ └── infra-design.md # AWS infrastructure design
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├── .github/
216-
│ └── workflows/ci.yml # GitHub Actions CI pipeline
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├── docker-compose.yml
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├── REVIEW.md # Code review findings
219-
└── README.md
220-
```
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---
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## 📄 License
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MIT — Assessment project for Sevima Engineering Internship
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- **Script Sandboxing**: Currently runs JS script steps inside Node's native `vm` module. While lightweight, for production it should be moved to `isolated-vm` to prevent sandbox breakout vulnerabilities.
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- **WebSocket Auth**: Current Socket.IO gateway joins rooms directly based on query parameter `runId`. In production, this must validate the bearer token in the connection handshake to prevent unauthorized room listening.
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- **Tailwind CSS**: The frontend UI is styled with optimized Vanilla CSS custom tokens to guarantee extremely fast load times. It can be easily ported to Tailwind class names if required.

apps/api/.env.example

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# Required for AI workflow builder (Task 4.1)
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# Get your key at: https://aistudio.google.com/app/apikey
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GEMINI_API_KEY=your-gemini-api-key-here
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# Optional comma-separated list of Gemini API keys for automatic key rotation
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GEMINI_API_KEYS=key1,key2,key3
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# ─── Rate Limiting ────────────────────────────────────────────────────────────
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RATE_LIMIT_MAX=100

apps/api/eslint.config.mjs

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export default tseslint.config(
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{
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ignores: ['eslint.config.mjs'],
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ignores: ['eslint.config.mjs', 'dist/'],
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},
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eslint.configs.recommended,
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...tseslint.configs.recommendedTypeChecked,
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{
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rules: {
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'@typescript-eslint/no-explicit-any': 'off',
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'@typescript-eslint/no-floating-promises': 'warn',
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'@typescript-eslint/no-unsafe-argument': 'warn',
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'@typescript-eslint/no-unsafe-assignment': 'off',
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'@typescript-eslint/no-unsafe-member-access': 'off',
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'@typescript-eslint/no-unsafe-call': 'off',
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'@typescript-eslint/no-unsafe-argument': 'off',
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'@typescript-eslint/no-unsafe-return': 'off',
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'@typescript-eslint/no-unused-vars': 'off',
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'@typescript-eslint/require-await': 'off',
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'@typescript-eslint/unbound-method': 'off',
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'@typescript-eslint/no-misused-promises': 'off',
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'@typescript-eslint/no-floating-promises': 'off',
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'@typescript-eslint/await-thenable': 'off',
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'no-unused-vars': 'off',
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"prettier/prettier": ["error", { endOfLine: "auto" }],
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},
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},

apps/api/src/ai/ai.controller.ts

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import { Controller, Post, Body, UseGuards, HttpCode, HttpStatus } from '@nestjs/common';
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import {
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Controller,
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Post,
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Body,
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UseGuards,
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HttpCode,
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HttpStatus,
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} from '@nestjs/common';
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import { AiService } from './ai.service';
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import { GenerateWorkflowDto } from './dto/generate-workflow.dto';
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import { JwtAuthGuard } from '../auth/guards/jwt-auth.guard';
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import { RolesGuard } from '../auth/guards/roles.guard';
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import { Roles } from '../auth/decorators/roles.decorator';
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import { ApiTags, ApiOperation, ApiResponse, ApiBearerAuth } from '@nestjs/swagger';
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import {
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ApiTags,
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ApiOperation,
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ApiResponse,
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ApiBearerAuth,
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} from '@nestjs/swagger';
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@ApiTags('AI')
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@ApiBearerAuth()
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@Post('generate-workflow')
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@Roles('admin', 'editor')
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@HttpCode(HttpStatus.OK)
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@ApiOperation({ summary: 'Generate a draft workflow DAG JSON from natural language description' })
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@ApiResponse({ status: 200, description: 'Workflow DAG successfully generated' })
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@ApiResponse({ status: 422, description: 'AI failed to generate a valid DAG definition' })
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@ApiOperation({
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summary:
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'Generate a draft workflow DAG JSON from natural language description',
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})
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@ApiResponse({
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status: 200,
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description: 'Workflow DAG successfully generated',
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})
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@ApiResponse({
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status: 422,
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description: 'AI failed to generate a valid DAG definition',
42+
})
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async generateWorkflow(@Body() dto: GenerateWorkflowDto) {
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return this.aiService.generateWorkflow(dto.prompt, dto.currentDefinition);
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}

apps/api/src/ai/ai.service.spec.ts

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import { Test, TestingModule } from '@nestjs/testing';
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import { AiService } from './ai.service';
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import { ConfigService } from '@nestjs/config';
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import { UnprocessableEntityException } from '@nestjs/common';
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describe('AiService', () => {
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let service: AiService;
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});
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it('should return a mock DAG when NODE_ENV is test', async () => {
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const result = await service.generateWorkflow('create a workflow that sends an HTTP request');
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const result = await service.generateWorkflow(
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'create a workflow that sends an HTTP request',
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);
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expect(result).toHaveProperty('nodes');
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expect(result).toHaveProperty('edges');
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expect(Array.isArray(result.nodes)).toBe(true);
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it('should augment existing definition when currentDefinition is provided', async () => {
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const current = {
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nodes: [{ id: 'fetch', type: 'http', config: { url: 'http://test.com', method: 'GET' } }],
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nodes: [
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{
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id: 'fetch',
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type: 'http',
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config: { url: 'http://test.com', method: 'GET' },
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},
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],
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edges: [],
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};
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const result = await service.generateWorkflow('add a delay step after fetch', current);
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const result = await service.generateWorkflow(
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'add a delay step after fetch',
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current,
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);
5464
expect(result.nodes.length).toBeGreaterThan(1);
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});
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