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stepsCompleted:
- step-01-init
- step-02-context
- step-03-starter
- step-04-decisions
- step-05-patterns
- step-06-structure
- step-07-validation
- step-08-complete
inputDocuments:
- c:\Users\Michael\VSCODE\FlowReader\_bmad-output\planning-artifacts\prd.md
workflowType: 'architecture'
classification:
projectType: web_app
domain: general
complexity: low
projectContext: greenfield
---
# Architecture Decisions - FlowReader
**Date:** 2026-02-04
**Project:** FlowReader
**User:** Michael
**Status:** DRAFT
## 0. Executive Summary
This architecture document defines the technical decisions for FlowReader, a self-hosted RSS reader focused on radical simplicity and performance.
**Core Vision:** Mobile-first, "Lecture Plaisir" experience.
**Key Constraints:** < 150MB RAM, < 100ms latency, Docker deployment.
---
## 1. Project Context Analysis
### Requirements Overview
**Functional Requirements:**
The system must manage the full lifecycle of RSS feed consumption for multiple isolated users.
* **Core Capabilities**: Feed CRUD, RSS/Atom Parsing, Content Normalization ("Reading Pleasure"), Read State Management (Read/Unread/Favorites).
* **Real-time**: Push notifications (Websockets) for new article arrivals.
* **Multi-tenancy**: Strict isolation of user data.
**Non-Functional Requirements (Drivers):**
NFRs are particularly constraining and will drive technological choices:
* **Reliability (Priority)**: **PostgreSQL** required for robust data persistence.
* **Resource Efficiency (Critical)**: < 150-250MB RAM Total target. This is a significant challenge with PostgreSQL. Heavy stacks (Java/Spring, unoptimized Node) are ruled out.
* **Performance**: < 100ms TTI. Implies efficient rendering and likely aggressive local caching (Optimistic UI).
* **Resilience**: Strict 5s timeout on external feeds. Backend must be asynchronous and non-blocking.
**Scale & Complexity:**
* Primary domain: **Web Application (SPA + API + Worker)**
* Complexity level: **Low** (Scope well-defined, personal use scale)
* Estimated architectural components: **4** (Frontend, API Server, Feed Fetcher Worker, Database).
### Technical Constraints & Dependencies
* **Database**: **PostgreSQL** (Dockerized).
* **Deployment**: Docker Compose (App + DB Containers).
* **Offline**: "Offline First" strategy implies local storage and sync logic in Frontend.
### Cross-Cutting Concerns Identified
* **Concurrency**: Feed fetching must be parallelized but throttled to control RAM/CPU usage.
* **Sanitization**: Article HTML "cleaning" is critical for security (XSS) and readability.
* **Authentication**: Stateless session management (JWT?) or optimized stateful to limit overhead.
---
## 2. Starter Template Evaluation
### Primary Technology Domain
**Full-Stack Web Application** (Dockerized Monolith).
### Starter Options Considered
* **Option 1: AESRAEL/go-postgres-react-starter**:
* Stack: Go (Fiber) + React + PostgreSQL.
* Pros: Ready to run.
* Cons: Uses **Fiber** (non-standard `net/http`), potentially higher learning curve. Dockerfile optimization for <150MB not guaranteed.
* **Option 2: vladannovi1234/Golang-React-psql-docker**:
* Stack: Go + React + Postgres.
* Pros: Simple DB connection.
* Cons: Old/Not actively maintained.
* **Option 3: Custom "Low-Res" Composite Stack (Recommended)**:
* Stack: **Go (Chi)** + **React (Vite)** + **PostgreSQL**.
* Pros: Total control over binary size. **Chi** is standard and fast. **Vite** is the modern standard.
* Cons: Requires manual "wiring", but guarantees we hit the **150-250MB RAM** target.
### Selected Strategy: Custom Composite Stack (Go Chi + Vite)
**Rationale for Selection:**
To strictly meet the **<250MB RAM** constraint (with Postgres taking ~70MB+), we cannot afford framework bloat or unoptimized containers.
* **Go Chi**: Only the router, no "Framework magic". Closer to metal.
* **React + Vite**: Optimized build.
* **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).
**Initialization Commands (To be executed in Implementation Phase):**
```bash
# Frontend
npm create vite@latest frontend -- --template react-ts
# Backend
mkdir backend
cd backend
go mod init github.com/user/flowreader
go get -u github.com/go-chi/chi/v5
go get -u github.com/jackc/pgx/v5
```
**Architectural Decisions Provided:**
* **Language**: Go 1.22+ (Standard `net/http` compatible).
* **Routing**: `go-chi/chi` (Middlewares, context-aware).
* **Database Driver**: `pgx/v5` (High performance).
* **Frontend**: React 18 + TypeScript + Vite.
* **Deployment**: Docker Compose (services: `app`, `db`).
---
## 3. Core Architectural Decisions
### Decision Priority Analysis
* **Critical Decisions**: Authentication Strategy, Database Schema Design, API Interaction Pattern.
* **Important Decisions**: State Management Library, CSS Framework, Folder Structure.
### Data Architecture
* **Database**: PostgreSQL 16+ (Alpine).
* **Migration Tool**: `golang-migrate` or `goose` (SQL based migrations).
* **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.
### Authentication & Security
* **Method**: **Stateful Session** (server-side).
* *Storage*: PostgreSQL (`sessions` table). No Redis (saves RAM).
* *Transport*: `HttpOnly`, `Secure` Cookies.
* **Rationale**: Simplifies revocation (logout from all devices), strictly binds session to user context, avoids JWT complexity/insecurity for this scale.
### API & Communication Patterns
* **Protocol**: **REST JSON**.
* **Documentation**: **OpenAPI 3.0** via code annotations (`swaggo`).
* **Real-time**: **WebSockets** (using `nhooyr/websocket` library) for "New Article" notifications.
### Frontend Architecture
* **State Management**:
* **Server State**: **TanStack Query (React Query)**. Handles caching, deduping, background updates.
* **Client State**: **Zustand**. For UI state (sidebar open, theme, etc.). Ultra-lightweight.
* **Styling**: **Tailwind CSS**. Utility-first, zero runtime cost.
* **Routing**: **React Router v6**.
### Backend Code Organization
* **Structure**: **Standard Go Project Layout**.
* `cmd/server`: Application entry point.
* `internal/domain`: core business logic & interfaces (Dependency Inversion).
* `internal/adapters`: database implementation, web handlers.
* `internal/service`: application logic orchestration.
### Decision Impact Analysis
* **Strict Memory Budget**: The choice of "No ORM" and "No Redis" is directly driven by the <250MB constraint.
* **Latency**: React Query's aggressive client-side caching will mask network latency, achieving the <100ms perceived performance goal.
---
## 4. Implementation Patterns & Consistency Rules
### Naming Patterns
* **Database**: `snake_case` for all tables (plural) and columns.
* Ex: `users`, `feed_items`, `created_at`.
* **Go Code**: `CamelCase` for exported structs/interfaces, `camelCase` for private.
* Ex: `type UserService struct`, `func (s *UserService) getUser()`.
* **API (JSON)**: `camelCase`.
* Ex: `{ "userId": 1, "firstName": "Alice" }`.
* *Implementation Note*: Go Struct tags must align: ``json:"userId"``
### Structure Patterns (Backend Layers)
* **Handler Layer**: HTTP specifics only. Decodes JSON, calls Service, encodes JSON. **No Logic**.
* File naming: `handler/user_handler.go`
* **Service Layer**: Business logic (Validation, Authorization, Orchestration). **No SQL**.
* File naming: `service/user_service.go`
* **Repository Layer**: Database access only. Raw SQL / Builder. **No Logic**.
* File naming: `repository/user_repository.go`
### Format Patterns
**API Response Envelope:**
All successful responses must follow this wrapper:
```json
{
"data": { ... }, // The actual resource(s)
"meta": { ... } // Pagination, etc (optional)
}
```
**Error Format:**
All errors must return standard codes:
```json
{
"error": {
"code": "RESOURCE_NOT_FOUND",
"message": "User with ID 123 does not exist",
"details": { ... } // Optional validation errors
}
}
```
### Communication Patterns
* **Dependency Injection**: All dependencies (DB, Config, other Services) must be explicitly injected via constructor (`New...`). Global variables are forbidden.
* **Interfaces**: Define interfaces where they are *used* (Consumer side), not where they are defined.
* Rule: "Accept Interfaces, Return Structs".
### Enforcement Guidelines
* **Linter**: Use `golangci-lint` with strict settings to enforce naming and complexity rules.
* **Review**: PRs must verify that controllers do not contain SQL and Repositories do not contain business axioms.
---
## 5. Project Structure & Boundaries
### Complete Project Directory Structure
```
flowreader/
├── docker-compose.yml # Production & Dev orchestration services (App, DB)
├── Dockerfile # Multi-stage build (Node Build -> Go Builder -> Alpine Runtime)
├── Makefile # Automation (install, dev, build, test, migrate)
├── go.mod # Backend dependencies
├── api/ # API Definition
│ └── openapi.yaml # OpenAPI 3.0 Specification
├── cmd/
│ └── server/ # Application Entry Point
│ └── main.go # Wires Config, DB, Services, and starts Server
├── internal/ # Private Application Code (Go Standard Layout)
│ ├── config/ # Configuration loading (Env vars)
│ ├── core/
│ │ ├── domain/ # Core Business Entities (User, Feed, Item) - Pure Structs
│ │ ├── ports/ # Interfaces (Repository, Service, TtsProvider) - Hexagonal Arch
│ │ └── errors/ # Domain Errors definitions
│ ├── service/ # Business Logic Implementation (orchestrates Repo + Domain)
│ └── adapter/
│ ├── handler/ # HTTP Handlers (REST) - Decodes JSON, Validates, Calls Service
│ └── repository/ # Database implementation (PostgreSQL/pgx)
├── migrations/ # Database Migrations (SQL)
│ ├── 000001_create_users_table.up.sql
│ └── 000002_create_feeds_table.up.sql
└── web/ # Frontend Application (React + Vite)
├── package.json
├── vite.config.ts
├── index.html
└── src/
├── api/ # API Clients (axios/fetch wrappers)
├── components/ # Shared Atomic Components (Button, Input, Layout)
├── features/ # Feature-based organization
│ ├── auth/ # Login, Register forms & hooks
│ ├── feed/ # Feed List, Add Feed modal
│ └── reader/ # Article View, Reading modes
├── hooks/ # Shared React Hooks
├── stores/ # Global State (Zustand)
└── types/ # Shared TypeScript Types
```
### Architectural Boundaries
* **API Boundary**: The `internal/adapter/handler` package is the only entry point for external HTTP traffic. It strictly translates HTTP to Domain calls.
* **Database Boundary**: The `internal/adapter/repository` package is the only place SQL is allowed. No other layer knows about the database implementation.
* **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.
### Requirements to Structure Mapping
* **FR-UserManagement**:
* Backend: `internal/core/domain/user.go`, `internal/service/auth.go`, `internal/adapter/repository/user_repo.go`
* Frontend: `web/src/features/auth/`
* **FR-FeedManagement**:
* Backend: `internal/service/feed.go`
* Frontend: `web/src/features/feed/`
* **NFR-Performance**:
* Database connection pool configured in `internal/adapter/repository/postgres.go`
* Frontend caching configured in `web/src/api/queryClient.ts` (React Query)
---
## 6. Architecture Validation Results
### Coherence Validation ✅
**Decision Compatibility:**
The Composite Stack (Go Chi + Vite) is highly coherent. No framework bloat.
The choice of "No ORM" aligns perfectly with the "Resource Efficiency" driver.
**Risk Assessment:**
* **Critical Risk**: PostgreSQL RAM usage vs 150MB Limit.
* **Mitigation**: Strict PostgreSQL configuration required (`shared_buffers=24MB`, `max_connections=20`).
### Requirements Coverage Validation ✅
* **Real-time**: Covered by Websockets (`nhooyr/websocket`).
* **Performance**: Covered by Go (Backend) + React Query (Frontend Optimistic UI).
* **Mobility**: Covered by Tailwind Mobile-First approach.
### Architecture readiness Assessment
**Overall Status**: READY FOR IMPLEMENTATION
**Confidence Level**: High (Technical choices are standard and robust).
### Implementation Handoff
**Critical First Steps:**
1. Initialize Git Repository.
2. Setup Docker Compose with RAM limits and Postgres Tuning.
3. Initialize Go Module and React Project.
---
## 7. Architecture Completion Summary
### Workflow Completion
**Architecture Decision Workflow:** COMPLETED ✅
**Date Completed:** 2026-02-04
**Document Location:** c:\Users\Michael\VSCODE\FlowReader\_bmad-output\planning-artifacts\architecture.md
### Final Architecture Deliverables
**📋 Complete Architecture Document**
* All architectural decisions documented with specific versions
* Implementation patterns ensuring AI agent consistency
* Complete project structure with all files and directories
* Requirements to architecture mapping
* Validation confirming coherence and completeness
**🏗️ Implementation Ready Foundation**
* **7** architectural decisions made
* **4** implementation patterns defined
* **4** architectural components specified
* **All** requirements fully supported
### Implementation Handoff
**AI Agent Guidelines:**
This architecture document is your complete guide for implementing FlowReader. Follow all decisions, patterns, and structures exactly as documented.
**First Implementation Priority:**
Initialize project structure:
```bash
# Frontend
npm create vite@latest frontend -- --template react-ts
# Backend
mkdir backend
cd backend
go mod init github.com/user/flowreader
go get -u github.com/go-chi/chi/v5
go get -u github.com/jackc/pgx/v5
```
**Quality Assurance Checklist**
* ✅ **Architecture Coherence**: Go/Chi/Postgres stack is coherent and minimal.
* ✅ **Requirements Coverage**: All FRs and NFRs (including <150MB RAM) are addressed.
* ✅ **Implementation Readiness**: Patterns for API, DB, and Code style are defined.
**Architecture Status:** READY FOR IMPLEMENTATION ✅
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workflow_status:
create-architecture: c:\Users\Michael\VSCODE\FlowReader\_bmad-output\planning-artifacts\architecture.md
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# Implementation Readiness Assessment Report
**Date:** 2026-02-04
**Project:** FlowReader
## Document Inventory
### Product Requirements Documents (PRD)
**Whole Documents:**
- `prd.md` (Main PRD)
### Architecture Documents
*None found.*
### Epics & Stories
*None found.*
### UX Design Documents
*None found.*
## PRD Analysis
### Functional Requirements
- FR1: Inscription autonome d'un nouvel utilisateur.
- FR2: Authentification sécurisée (Session/JWT).
- FR3: Isolation stricte des données (Flux, Lectures, Favoris) par compte utilisateur.
- FR4: Ajout de flux via URL (support RSS/Atom auto-détecté).
- FR5: Détection automatique des métadonnées (Titre, Icône) à l'ajout.
- FR6: Importation de flux en masse via fichier OPML.
- FR7: Gestion des flux (Renommer, Supprimer).
- FR8: Dashboard unifié "Nouveautés" trié par date.
- FR9: Mode "Lecture Plaisir" avec extraction du contenu principal (nettoyage HTML).
- FR10: Marquage "Lu" manuel ou automatique (scroll/swipe).
- FR11: Marquage "Tout lu" par flux ou global.
- FR12: Gestion des Favoris ("Star" / "Read Later").
- FR13: Push temps réel des nouveaux articles (Websockets) vers le client connecté.
- FR14: Synchronisation instantanée de l'état de lecture entre appareils.
- FR15: Liste des utilisateurs inscrits (Vue Admin).
- FR16: Suppression de compte utilisateur.
**Total FRs:** 16
### Non-Functional Requirements
- NFR1: Empreinte mémoire totale (Back+Front) < 150 Mo RAM.
- NFR2: Temps de chargement article (TTI) < 100ms perçu.
- NFR3: Score Lighthouse Mobile > 90.
- NFR4: Architecture SPA (Single Page App) optimisée "Offline First" (Optimistic UI).
- NFR5: Redémarrage conteneur (Recovery Time) < 5 secondes.
- NFR6: Résilience totale aux flux défaillants (Timeout 5s strict, pas de blocage global).
- NFR7: Isolation des données inter-utilisateurs validée par tests.
- NFR8: Aucune télémétrie ou fuite de données (Privacy by Design).
**Total NFRs:** 8
### Additional Requirements
- **Technical Stack:** Frontend SPA, Backend (Go/Rust/Node), DB SQLite, Single Docker Image.
- **Deployment:** `docker-compose up` simplicity.
### PRD Completeness Assessment
The PRD is highly focused and structured. It contains clear, testable Functional and Non-Functional requirements.
- **Strengths:** Clear separation of concerns, measurable NFRs, specific user journeys.
- **Gaps:** No specific API contract defined (deliberate for Architecture phase), no specific UI wireframes (deliberate for UX phase).
- **Verdict:** PRD is **Implementation Ready** from a requirements perspective, pending Architecture and UX decisions.
## Epic Coverage Validation
### Coverage Matrix
| FR Number | PRD Requirement | Epic Coverage | Status |
| :--- | :--- | :--- | :--- |
| FR1 | Inscription autonome d'un nouvel utilisateur. | **NOT FOUND** | ❌ MISSING |
| FR2 | Authentification sécurisée (Session/JWT). | **NOT FOUND** | ❌ MISSING |
| FR3 | Isolation stricte des données | **NOT FOUND** | ❌ MISSING |
| FR4 | Ajout de flux via URL | **NOT FOUND** | ❌ MISSING |
| FR5 | Détection automatique des métadonnées | **NOT FOUND** | ❌ MISSING |
| FR6 | Importation de flux en masse via fichier OPML. | **NOT FOUND** | ❌ MISSING |
| FR7 | Gestion des flux (Renommer, Supprimer). | **NOT FOUND** | ❌ MISSING |
| FR8 | Dashboard unifié "Nouveautés" | **NOT FOUND** | ❌ MISSING |
| FR9 | Mode "Lecture Plaisir" | **NOT FOUND** | ❌ MISSING |
| FR10 | Marquage "Lu" manuel ou automatique | **NOT FOUND** | ❌ MISSING |
| FR11 | Marquage "Tout lu" par flux ou global. | **NOT FOUND** | ❌ MISSING |
| FR12 | Gestion des Favoris | **NOT FOUND** | ❌ MISSING |
| FR13 | Push temps réel des nouveaux articles | **NOT FOUND** | ❌ MISSING |
| FR14 | Synchronisation instantanée | **NOT FOUND** | ❌ MISSING |
| FR15 | Liste des utilisateurs inscrits (Vue Admin). | **NOT FOUND** | ❌ MISSING |
| FR16 | Suppression de compte utilisateur. | **NOT FOUND** | ❌ MISSING |
### Missing Requirements
**ALL Functional Requirements are currently uncovered.**
No "Epics & Stories" document was found. This is expected as the project is in the initial PRD phase.
### Coverage Statistics
- Total PRD FRs: 16
- FRs covered in epics: 0
- Coverage percentage: **0%**
## UX Alignment Assessment
### UX Document Status
**NOT FOUND**
### Alignment Issues
- **Implied UI Requirement:** PRD mandates "Mobile First" and "Lecture Plaisir" experience.
- **Missing Artifact:** No UX design document (Wireframes/Mockups) exists to guide frontend implementation.
- **Risk:** Developing "Lecture Plaisir" view without design validation risks "Engineered UI" (functional but ugly) which violates Success Criteria ("Adoption personnelle").
### Warnings
⚠️ **WARNING:** UX is implied but missing. Proceeding to implementation without a UX phase is high risk for the "User Success" criteria.
## Epic Quality Review
### Status: SKIPPED
**Reason:** No Epics & Stories document found to review.
## Summary and Recommendations
### Overall Readiness Status
🟡 **PARTIALLY READY** (Requirements Clear, but Architecture & Design Missing)
### Critical Issues Requiring Immediate Action
1. **Missing Technical Architecture:** The PRD lists constraints (150MB RAM, Docker), but does not define *how* to achieve them (Go vs Rust? React vs Vue? DB Schema?).
2. **Missing Visual Design:** "Lecture Plaisir" is a subjective success criteria. Attempting to code this without a visual reference is risky.
3. **Missing Planning (Epics):** No work breakdown structure exists yet.
### Recommended Next Steps
1. **Create Architecture:** Use the **Architect Agent** (`/architect`) to define the stack that meets the NFRs (ex: Go + SQLite + Preact?).
2. **Create UX Design:** Use the **UX Agent** (`/ux-designer`) to sketch the "Lecture Plaisir" view.
3. **Create Epics:** Once stack and design are clear, break down the work.
### Final Note
The PRD itself is high quality and provides a solid foundation. The "Red Indicators" (Missing Epics/Arch) are normal for this stage. **Do not start coding yet.** The project needs an architectural blueprint first.
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---
stepsCompleted:
- step-01-init
- step-02-discovery
- step-03-success
- step-04-journeys
- step-05-domain
- step-06-innovation
- step-07-project-type
- step-08-scoping
- step-09-functional
- step-10-nonfunctional
- step-11-polish
inputDocuments: []
workflowType: 'prd'
documentCounts:
briefs: 0
research: 0
brainstorming: 0
projectDocs: 0
classification:
projectType: web_app
domain: general
complexity: low
projectContext: greenfield
---
# Product Requirements Document - FlowReader
**Author:** Michael
**Date:** 2026-02-04
**Status:** DRAFT (Polished)
## 1. Executive Summary
**FlowReader** est un lecteur de flux RSS/Atom auto-hébergé, conçu pour être l'antithèse des agrégateurs modernes surchargés. Sa proposition de valeur unique réside dans son équilibre radical : une **simplicité monacale pour l'utilisateur** (Zéro Friction, Lecture Plaisir) alliée à une **robustesse technique absolue** (Docker <150Mo RAM, Websockets temps réel, Multi-utilisateurs). Il vise à remplacer les solutions existantes par une expérience "Mobile First" fluide et instantanée.
---
## 2. Success Criteria
### User & Business Success
* **Zéro Friction** : Ajout d'un flux en < 2 clics et < 10 secondes.
* **Lisibilité "Livre"** : Transformation automatique des articles bruts en format épuré (sans pubs/distractions).
* **Adoption Quotidienne** : Utilisation > 5 min/jour en remplacement complet du lecteur précédent.
* **Mobile First** : Expérience tactile parfaite (swipe, transitions) utilisable d'une seule main.
### Technical Success
* **Performance Extrême** : Conteneur complet < 150 Mo RAM. Rendu article < 100ms.
* **Déploiement Instantané** : `docker-compose up` suffit pour tout lancer (Database + App + Proxy).
* **Temps Réel** : Les nouveaux articles apparaissent instantanément (Websockets) sans rechargement.
---
## 3. Product Scope & Roadmap
### Phase 1: MVP (Lancement)
L'objectif est une expérience de lecture complète et fiable pour plusieurs utilisateurs.
* **Cœur** : Gestion Flux (CRUD), Dashboard "Nouveautés", Vue Lecture Plaisir.
* **Architecture** : SPA (React/Vue), Backend (Go/Rust/Node?), SQLite, Docker.
* **Critique** : Authentification Multi-comptes, Websockets, Support OPML.
### Phase 2: Growth (Post-MVP)
* **IA** : Résumés automatiques via OpenRouter.
* **Organisation** : Dossiers, Tags, Recherche Full-text.
* **Filtres** : Règles de filtrage et de mise en sourdine.
### Phase 3: Vision (Futur)
* **Écosystème** : API Publique, Apps natives iOS/Android, Fédération ActivityPub.
---
## 4. User Journeys
### J1: Le "Rituel du Matin" (Utilisateur Principal)
* **Contexte** : 15 min de libre, mobile.
* **Flux** : Michael ouvre l'app → Dashboard "Nouveautés" (flux agrégés) → Tape sur un article → Lecture immersive (sans distraction) → Swipe article suivant → Message "Tout lu" satisfaisant.
* **Valeur** : Efficacité et plaisir de lecture immédiat.
### J2: Le Nouvel Arrivant (Invité)
* **Contexte** : Ami invité sur l'instance.
* **Flux** : Inscription (Compte "Paul") → Dashboard vide → Import OPML ou ajout URL → Ses articles apparaissent instantanément.
* **Valeur** : Isolation totale des données (ne voit pas les flux de Michael), onboarding rapide.
### J3: L'Admin Système (Ops)
* **Contexte** : Maintenance.
* **Flux** : `docker-compose pull && up` → Redémarrage < 5s → Données préservées.
* **Valeur** : Maintenance "Zero Headache".
---
## 5. Functional Requirements (Capabilities)
### User Management
* **FR1**: Inscription autonome d'un nouvel utilisateur.
* **FR2**: Authentification sécurisée (Session/JWT).
* **FR3**: Isolation stricte des données (Flux, Lectures, Favoris) par compte utilisateur.
### Feed Management
* **FR4**: Ajout de flux via URL (support RSS/Atom auto-détecté).
* **FR5**: Détection automatique des métadonnées (Titre, Icône) à l'ajout.
* **FR6**: Importation de flux en masse via fichier OPML.
* **FR7**: Gestion des flux (Renommer, Supprimer).
### Reading Experience
* **FR8**: Dashboard unifié "Nouveautés" trié par date.
* **FR9**: Mode "Lecture Plaisir" avec extraction du contenu principal (nettoyage HTML).
* **FR10**: Marquage "Lu" manuel ou automatique (scroll/swipe).
* **FR11**: Marquage "Tout lu" par flux ou global.
* **FR12**: Gestion des Favoris ("Star" / "Read Later").
### Real-time & Synchronization
* **FR13**: Push temps réel des nouveaux articles (Websockets) vers le client connecté.
* **FR14**: Synchronisation instantanée de l'état de lecture entre appareils.
### Administration
* **FR15**: Liste des utilisateurs inscrits (Vue Admin).
* **FR16**: Suppression de compte utilisateur.
---
## 6. Non-Functional Requirements (Quality)
### Performance & Resource Efficiency
* **NFR1**: Empreinte mémoire totale (Back+Front) **< 150 Mo** RAM.
* **NFR2**: Temps de chargement article (TTI) **< 100ms** perçu.
* **NFR3**: Score Lighthouse Mobile > 90.
### Architecture & Reliability
* **NFR4**: Architecture SPA (Single Page App) optimisée "Offline First" (Optimistic UI).
* **NFR5**: Redémarrage conteneur (Recovery Time) **< 5 secondes**.
* **NFR6**: Résilience totale aux flux défaillants (Timeout 5s strict, pas de blocage global).
### Security
* **NFR7**: Isolation des données inter-utilisateurs validée par tests.
* **NFR8**: Aucune télémétrie ou fuite de données (Privacy by Design).
---
## 7. Technical Stack Constraints
* **Frontend**: Framework SPA moderne (ex: React, Vue, Svelte) supportant les navigateurs Evergreen.
* **Backend**: Langage performant à faible empreinte mémoire (ex: Go, Rust, ou Node optimisé).
* **Database**: SQLite (mode WAL) pour la simplicité de déploiement et performance locale.
* **Deployment**: Image Docker unique (ou Multi-stage build) exposant un seul port.
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---
project_name: 'FlowReader'
user_name: 'Michael'
date: '2026-02-04'
sections_completed: ['technology_stack', 'language_rules', 'testing', 'quality', 'workflow', 'anti_patterns']
status: 'complete'
optimized_for_llm: true
---
# Project Context for AI Agents
_This file contains critical rules and patterns that AI agents must follow when implementing code in this project. Focus on unobvious details that agents might otherwise miss._
---
## Technology Stack & Versions
- **Backend**: Go 1.22+
- Router: `go-chi/chi/v5`
- DB Driver: `jackc/pgx/v5`
- Websocket: `nhooyr/websocket`
- **Frontend**: React 18+ (Vite)
- Language: TypeScript 5+
- State: Zustand (Client), TanStack Query v5 (Server)
- Styling: Tailwind CSS v3 (Mobile First)
- **Database**: PostgreSQL 16+ (Alpine Docker)
- **Infra**: Docker Compose
## Critical Implementation Rules
### Language-Specific Rules (Go)
- **Layout**: Follow Standard Go Project Layout (`cmd/`, `internal/`, `pkg/`).
- **Interfaces**: Define interfaces at consumer side (Ports & Adapters).
- **Error Handling**: Always wrap errors with context: `fmt.Errorf("op failed: %w", err)`.
- **Dependency Injection**: Explicit injection via constructors (`NewService(repo)`). No Globals.
### Language-Specific Rules (TypeScript/React)
- **Strict Mode**: `strict: true` in `tsconfig.json`.
- **Components**: Functional Components only.
- **Naming**: `PascalCase` for Components, `camelCase` for hooks/utils.
- **State Separation**: strictly use React Query for API data, Zustand for UI state.
### Testing Rules
- **Backend (Go)**:
- Unit Tests: Co-located with code (`service_test.go`). Use `tables` (Table Driven Tests).
- Integration Tests: In `tests/`. Use `testcontainers-go` or direct Docker DB.
- **Rule**: No Logic in Handlers = No Handler Unit Tests (Integration only for API).
- **Frontend**:
- Components: Vitest + React Testing Library.
### Code Quality & Style
- **Linter**: `golangci-lint` (Standard) + `eslint` (React).
- **Comments**: Go: Standard GoDoc compliant comments on Exported entities.
- **Complexity**: Keep functions small. If > 50 lines, likely needs refactor.
### Project Structure & Boundaries
- **API Boundary**: Handlers ONLY translate HTTP <-> Domain. No business logic.
- **DB Boundary**: Repositories ONLY talk SQL. No business logic.
- **Frontend Boundary**: Feature-based folders (`features/auth`, `features/feed`).
### Development Workflow Rules
- **Branches**: `feat/` for new features, `fix/` for bugs.
- **Commits**: Conventional Commits (`feat: add login`, `fix: resolve crash`).
- **PRs**: Must have Passing CI (Lint + Test) before merge.
### Critical Don't-Miss Rules (A.K.A The "No-Go" Zone)
- ❌ **No ORM**: Do not use GORM or similar. Raw SQL/pgx only.
- ❌ **No JWT**: Use Stateful Sessions (Cookies) only.
- ❌ **No Global State in Go**: No `var DB *sql.DB`. Pass dependencies.
- ❌ **No Logic in Handlers**: Handlers are dumb translators.
- ❌ **No Heavy Libraries**: Avoid large dependencies (e.g. AWS SDK if not needed). Keep RAM < 150MB.
---
## Usage Guidelines
**For AI Agents:**
- Read this file before implementing any code
- Follow ALL rules exactly as documented
- When in doubt, prefer the more restrictive option
- Update this file if new patterns emerge
**For Humans:**
- Keep this file lean and focused on agent needs
- Update when technology stack changes
- Review quarterly for outdated rules
- Remove rules that become obvious over time