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https://github.com/R0m1k3/FlowReader.git
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chore: initial commit of planning artifacts
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---
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stepsCompleted:
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- step-01-init
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- step-02-context
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- step-03-starter
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- step-04-decisions
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- step-05-patterns
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- step-06-structure
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- step-07-validation
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- step-08-complete
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inputDocuments:
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- c:\Users\Michael\VSCODE\FlowReader\_bmad-output\planning-artifacts\prd.md
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workflowType: 'architecture'
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classification:
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projectType: web_app
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domain: general
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complexity: low
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projectContext: greenfield
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---
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# Architecture Decisions - FlowReader
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**Date:** 2026-02-04
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**Project:** FlowReader
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**User:** Michael
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**Status:** DRAFT
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## 0. Executive Summary
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This architecture document defines the technical decisions for FlowReader, a self-hosted RSS reader focused on radical simplicity and performance.
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**Core Vision:** Mobile-first, "Lecture Plaisir" experience.
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**Key Constraints:** < 150MB RAM, < 100ms latency, Docker deployment.
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---
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## 1. Project Context Analysis
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### Requirements Overview
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**Functional Requirements:**
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The system must manage the full lifecycle of RSS feed consumption for multiple isolated users.
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* **Core Capabilities**: Feed CRUD, RSS/Atom Parsing, Content Normalization ("Reading Pleasure"), Read State Management (Read/Unread/Favorites).
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* **Real-time**: Push notifications (Websockets) for new article arrivals.
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* **Multi-tenancy**: Strict isolation of user data.
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**Non-Functional Requirements (Drivers):**
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NFRs are particularly constraining and will drive technological choices:
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* **Reliability (Priority)**: **PostgreSQL** required for robust data persistence.
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* **Resource Efficiency (Critical)**: < 150-250MB RAM Total target. This is a significant challenge with PostgreSQL. Heavy stacks (Java/Spring, unoptimized Node) are ruled out.
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* **Performance**: < 100ms TTI. Implies efficient rendering and likely aggressive local caching (Optimistic UI).
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* **Resilience**: Strict 5s timeout on external feeds. Backend must be asynchronous and non-blocking.
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**Scale & Complexity:**
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* Primary domain: **Web Application (SPA + API + Worker)**
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* Complexity level: **Low** (Scope well-defined, personal use scale)
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* Estimated architectural components: **4** (Frontend, API Server, Feed Fetcher Worker, Database).
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### Technical Constraints & Dependencies
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* **Database**: **PostgreSQL** (Dockerized).
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* **Deployment**: Docker Compose (App + DB Containers).
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* **Offline**: "Offline First" strategy implies local storage and sync logic in Frontend.
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### Cross-Cutting Concerns Identified
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* **Concurrency**: Feed fetching must be parallelized but throttled to control RAM/CPU usage.
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* **Sanitization**: Article HTML "cleaning" is critical for security (XSS) and readability.
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* **Authentication**: Stateless session management (JWT?) or optimized stateful to limit overhead.
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---
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## 2. Starter Template Evaluation
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### Primary Technology Domain
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**Full-Stack Web Application** (Dockerized Monolith).
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### Starter Options Considered
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* **Option 1: AESRAEL/go-postgres-react-starter**:
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* Stack: Go (Fiber) + React + PostgreSQL.
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* Pros: Ready to run.
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* Cons: Uses **Fiber** (non-standard `net/http`), potentially higher learning curve. Dockerfile optimization for <150MB not guaranteed.
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* **Option 2: vladannovi1234/Golang-React-psql-docker**:
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* Stack: Go + React + Postgres.
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* Pros: Simple DB connection.
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* Cons: Old/Not actively maintained.
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* **Option 3: Custom "Low-Res" Composite Stack (Recommended)**:
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* Stack: **Go (Chi)** + **React (Vite)** + **PostgreSQL**.
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* Pros: Total control over binary size. **Chi** is standard and fast. **Vite** is the modern standard.
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* Cons: Requires manual "wiring", but guarantees we hit the **150-250MB RAM** target.
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### Selected Strategy: Custom Composite Stack (Go Chi + Vite)
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**Rationale for Selection:**
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To strictly meet the **<250MB RAM** constraint (with Postgres taking ~70MB+), we cannot afford framework bloat or unoptimized containers.
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* **Go Chi**: Only the router, no "Framework magic". Closer to metal.
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* **React + Vite**: Optimized build.
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* **Single Dockerfile**: We will use a Multi-Stage Docker build to embed the React Assets *into* the Go Binary to minimize container count (1 App Container + 1 DB Container).
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**Initialization Commands (To be executed in Implementation Phase):**
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```bash
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# Frontend
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npm create vite@latest frontend -- --template react-ts
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# Backend
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mkdir backend
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cd backend
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go mod init github.com/user/flowreader
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go get -u github.com/go-chi/chi/v5
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go get -u github.com/jackc/pgx/v5
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```
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**Architectural Decisions Provided:**
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* **Language**: Go 1.22+ (Standard `net/http` compatible).
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* **Routing**: `go-chi/chi` (Middlewares, context-aware).
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* **Database Driver**: `pgx/v5` (High performance).
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* **Frontend**: React 18 + TypeScript + Vite.
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* **Deployment**: Docker Compose (services: `app`, `db`).
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---
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## 3. Core Architectural Decisions
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### Decision Priority Analysis
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* **Critical Decisions**: Authentication Strategy, Database Schema Design, API Interaction Pattern.
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* **Important Decisions**: State Management Library, CSS Framework, Folder Structure.
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### Data Architecture
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* **Database**: PostgreSQL 16+ (Alpine).
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* **Migration Tool**: `golang-migrate` or `goose` (SQL based migrations).
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* **Data Access**: `pgx` native queries (No ORM). We choose **No ORM** to maintain raw performance and control over generated SQL, critical for the RAM constraint. Struct mapping via `scany` or manual scan.
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### Authentication & Security
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* **Method**: **Stateful Session** (server-side).
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* *Storage*: PostgreSQL (`sessions` table). No Redis (saves RAM).
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* *Transport*: `HttpOnly`, `Secure` Cookies.
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* **Rationale**: Simplifies revocation (logout from all devices), strictly binds session to user context, avoids JWT complexity/insecurity for this scale.
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### API & Communication Patterns
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* **Protocol**: **REST JSON**.
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* **Documentation**: **OpenAPI 3.0** via code annotations (`swaggo`).
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* **Real-time**: **WebSockets** (using `nhooyr/websocket` library) for "New Article" notifications.
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### Frontend Architecture
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* **State Management**:
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* **Server State**: **TanStack Query (React Query)**. Handles caching, deduping, background updates.
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* **Client State**: **Zustand**. For UI state (sidebar open, theme, etc.). Ultra-lightweight.
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* **Styling**: **Tailwind CSS**. Utility-first, zero runtime cost.
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* **Routing**: **React Router v6**.
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### Backend Code Organization
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* **Structure**: **Standard Go Project Layout**.
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* `cmd/server`: Application entry point.
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* `internal/domain`: core business logic & interfaces (Dependency Inversion).
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* `internal/adapters`: database implementation, web handlers.
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* `internal/service`: application logic orchestration.
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### Decision Impact Analysis
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* **Strict Memory Budget**: The choice of "No ORM" and "No Redis" is directly driven by the <250MB constraint.
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* **Latency**: React Query's aggressive client-side caching will mask network latency, achieving the <100ms perceived performance goal.
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---
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## 4. Implementation Patterns & Consistency Rules
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### Naming Patterns
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* **Database**: `snake_case` for all tables (plural) and columns.
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* Ex: `users`, `feed_items`, `created_at`.
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* **Go Code**: `CamelCase` for exported structs/interfaces, `camelCase` for private.
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* Ex: `type UserService struct`, `func (s *UserService) getUser()`.
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* **API (JSON)**: `camelCase`.
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* Ex: `{ "userId": 1, "firstName": "Alice" }`.
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* *Implementation Note*: Go Struct tags must align: ``json:"userId"``
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### Structure Patterns (Backend Layers)
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* **Handler Layer**: HTTP specifics only. Decodes JSON, calls Service, encodes JSON. **No Logic**.
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* File naming: `handler/user_handler.go`
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* **Service Layer**: Business logic (Validation, Authorization, Orchestration). **No SQL**.
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* File naming: `service/user_service.go`
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* **Repository Layer**: Database access only. Raw SQL / Builder. **No Logic**.
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* File naming: `repository/user_repository.go`
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### Format Patterns
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**API Response Envelope:**
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All successful responses must follow this wrapper:
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```json
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{
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"data": { ... }, // The actual resource(s)
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"meta": { ... } // Pagination, etc (optional)
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}
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```
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**Error Format:**
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All errors must return standard codes:
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```json
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{
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"error": {
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"code": "RESOURCE_NOT_FOUND",
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"message": "User with ID 123 does not exist",
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"details": { ... } // Optional validation errors
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}
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}
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```
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### Communication Patterns
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* **Dependency Injection**: All dependencies (DB, Config, other Services) must be explicitly injected via constructor (`New...`). Global variables are forbidden.
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* **Interfaces**: Define interfaces where they are *used* (Consumer side), not where they are defined.
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* Rule: "Accept Interfaces, Return Structs".
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### Enforcement Guidelines
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* **Linter**: Use `golangci-lint` with strict settings to enforce naming and complexity rules.
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* **Review**: PRs must verify that controllers do not contain SQL and Repositories do not contain business axioms.
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---
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## 5. Project Structure & Boundaries
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### Complete Project Directory Structure
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```
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flowreader/
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├── docker-compose.yml # Production & Dev orchestration services (App, DB)
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├── Dockerfile # Multi-stage build (Node Build -> Go Builder -> Alpine Runtime)
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├── Makefile # Automation (install, dev, build, test, migrate)
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├── go.mod # Backend dependencies
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├── api/ # API Definition
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│ └── openapi.yaml # OpenAPI 3.0 Specification
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├── cmd/
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│ └── server/ # Application Entry Point
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│ └── main.go # Wires Config, DB, Services, and starts Server
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├── internal/ # Private Application Code (Go Standard Layout)
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│ ├── config/ # Configuration loading (Env vars)
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│ ├── core/
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│ │ ├── domain/ # Core Business Entities (User, Feed, Item) - Pure Structs
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│ │ ├── ports/ # Interfaces (Repository, Service, TtsProvider) - Hexagonal Arch
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│ │ └── errors/ # Domain Errors definitions
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│ ├── service/ # Business Logic Implementation (orchestrates Repo + Domain)
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│ └── adapter/
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│ ├── handler/ # HTTP Handlers (REST) - Decodes JSON, Validates, Calls Service
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│ └── repository/ # Database implementation (PostgreSQL/pgx)
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├── migrations/ # Database Migrations (SQL)
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│ ├── 000001_create_users_table.up.sql
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│ └── 000002_create_feeds_table.up.sql
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└── web/ # Frontend Application (React + Vite)
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├── package.json
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├── vite.config.ts
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├── index.html
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└── src/
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├── api/ # API Clients (axios/fetch wrappers)
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├── components/ # Shared Atomic Components (Button, Input, Layout)
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├── features/ # Feature-based organization
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│ ├── auth/ # Login, Register forms & hooks
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│ ├── feed/ # Feed List, Add Feed modal
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│ └── reader/ # Article View, Reading modes
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├── hooks/ # Shared React Hooks
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├── stores/ # Global State (Zustand)
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└── types/ # Shared TypeScript Types
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```
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### Architectural Boundaries
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* **API Boundary**: The `internal/adapter/handler` package is the only entry point for external HTTP traffic. It strictly translates HTTP to Domain calls.
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* **Database Boundary**: The `internal/adapter/repository` package is the only place SQL is allowed. No other layer knows about the database implementation.
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* **Frontend/Backend Boundary**: Rigid separation. The Frontend in `web/` is a completely independent SPA that consumes the API. It is served by Nginx or embedded in the Go binary for production.
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### Requirements to Structure Mapping
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* **FR-UserManagement**:
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* Backend: `internal/core/domain/user.go`, `internal/service/auth.go`, `internal/adapter/repository/user_repo.go`
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* Frontend: `web/src/features/auth/`
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* **FR-FeedManagement**:
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* Backend: `internal/service/feed.go`
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* Frontend: `web/src/features/feed/`
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* **NFR-Performance**:
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* Database connection pool configured in `internal/adapter/repository/postgres.go`
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* Frontend caching configured in `web/src/api/queryClient.ts` (React Query)
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---
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## 6. Architecture Validation Results
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### Coherence Validation ✅
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**Decision Compatibility:**
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The Composite Stack (Go Chi + Vite) is highly coherent. No framework bloat.
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The choice of "No ORM" aligns perfectly with the "Resource Efficiency" driver.
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**Risk Assessment:**
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* **Critical Risk**: PostgreSQL RAM usage vs 150MB Limit.
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* **Mitigation**: Strict PostgreSQL configuration required (`shared_buffers=24MB`, `max_connections=20`).
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### Requirements Coverage Validation ✅
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* **Real-time**: Covered by Websockets (`nhooyr/websocket`).
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* **Performance**: Covered by Go (Backend) + React Query (Frontend Optimistic UI).
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* **Mobility**: Covered by Tailwind Mobile-First approach.
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### Architecture readiness Assessment
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**Overall Status**: READY FOR IMPLEMENTATION
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**Confidence Level**: High (Technical choices are standard and robust).
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### Implementation Handoff
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**Critical First Steps:**
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1. Initialize Git Repository.
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2. Setup Docker Compose with RAM limits and Postgres Tuning.
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3. Initialize Go Module and React Project.
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---
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## 7. Architecture Completion Summary
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### Workflow Completion
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**Architecture Decision Workflow:** COMPLETED ✅
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**Date Completed:** 2026-02-04
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**Document Location:** c:\Users\Michael\VSCODE\FlowReader\_bmad-output\planning-artifacts\architecture.md
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### Final Architecture Deliverables
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**📋 Complete Architecture Document**
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* All architectural decisions documented with specific versions
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* Implementation patterns ensuring AI agent consistency
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* Complete project structure with all files and directories
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* Requirements to architecture mapping
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* Validation confirming coherence and completeness
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**🏗️ Implementation Ready Foundation**
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* **7** architectural decisions made
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* **4** implementation patterns defined
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* **4** architectural components specified
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* **All** requirements fully supported
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### Implementation Handoff
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**AI Agent Guidelines:**
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This architecture document is your complete guide for implementing FlowReader. Follow all decisions, patterns, and structures exactly as documented.
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**First Implementation Priority:**
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Initialize project structure:
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```bash
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# Frontend
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npm create vite@latest frontend -- --template react-ts
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# Backend
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mkdir backend
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cd backend
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go mod init github.com/user/flowreader
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go get -u github.com/go-chi/chi/v5
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go get -u github.com/jackc/pgx/v5
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```
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**Quality Assurance Checklist**
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* ✅ **Architecture Coherence**: Go/Chi/Postgres stack is coherent and minimal.
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* ✅ **Requirements Coverage**: All FRs and NFRs (including <150MB RAM) are addressed.
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* ✅ **Implementation Readiness**: Patterns for API, DB, and Code style are defined.
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**Architecture Status:** READY FOR IMPLEMENTATION ✅
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