mirror of
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235 lines
7.9 KiB
Markdown
235 lines
7.9 KiB
Markdown
---
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description: "Configuration de l'environnement de développement local, commandes, conventions de code et comment ajouter un nouvel outil à SnapOtter."
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i18n_source_hash: cb03724d2829
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i18n_provenance: human
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i18n_output_hash: c1deca322def
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---
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# Guide du développeur {#developer-guide}
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Comment configurer un environnement de développement local et contribuer au code de SnapOtter.
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## Prérequis {#prerequisites}
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- [Node.js](https://nodejs.org/) 22+
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- [pnpm](https://pnpm.io/) 9+ (`corepack enable && corepack prepare pnpm@latest --activate`)
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- [Docker](https://www.docker.com/) (requis pour Postgres + Redis en local, les builds de conteneur et les fonctionnalités d'IA)
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- Git
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Python 3.10+ n'est nécessaire que si vous travaillez sur le sidecar IA/ML (suppression d'arrière-plan, agrandissement, OCR).
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## Configuration {#setup}
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```bash
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git clone https://github.com/snapotter-hq/snapotter.git
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cd snapotter
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docker compose -f docker-compose.dev.yml up -d # start Postgres + Redis
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pnpm install
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pnpm dev
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```
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Cela démarre deux serveurs de développement :
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| Service | URL | Notes |
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|----------|--------------------------|------------------------------------|
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| Frontend | http://localhost:1349 | Serveur de développement Vite, proxifie /api |
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| Backend | http://localhost:13490 | API Fastify (accédée via le proxy) |
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Ouvrez http://localhost:1349 dans votre navigateur. Connectez-vous avec `admin` / `admin`. Il vous sera demandé de changer le mot de passe à la première connexion.
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## Structure du projet {#project-structure}
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```
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apps/
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api/ Fastify backend
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web/ Vite + React frontend
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docs/ VitePress documentation (this site)
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packages/
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shared/ Constants, types, i18n strings
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image-engine/ Sharp-based image operations
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media-engine/ FFmpeg spawn + progress parsing
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doc-engine/ qpdf, LibreOffice, ghostscript wrappers
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ai/ Python sidecar bridge for ML models
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tests/
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unit/ Vitest unit tests
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integration/ Vitest integration tests (full API)
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e2e/ Playwright end-to-end specs
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fixtures/ Small test images
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```
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## Commandes {#commands}
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```bash
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pnpm dev # start frontend + backend
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pnpm build # build all workspaces
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pnpm typecheck # TypeScript check across monorepo
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pnpm lint # Biome lint + format check
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pnpm lint:fix # auto-fix lint + format
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pnpm test # unit + integration tests
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pnpm test:unit # unit tests only
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pnpm test:integration # integration tests only
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pnpm test:e2e # Playwright e2e tests
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pnpm test:coverage # tests with coverage report
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```
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## Conventions de code {#code-conventions}
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- Guillemets doubles, points-virgules, indentation de 2 espaces (imposés par Biome)
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- Modules ES dans tous les workspaces
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- [Commits conventionnels](https://www.conventionalcommits.org/) pour semantic-release
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- Zod pour toute validation d'entrée de l'API
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- Aucune modification des fichiers de configuration de Biome, TypeScript ou de l'éditeur. Corrigez le code, pas le linter.
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## Base de données {#database}
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PostgreSQL 17 via Drizzle ORM (pg-core). Le développement local nécessite que Postgres et Redis soient en cours d'exécution - démarrez-les avec :
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```bash
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docker compose -f docker-compose.dev.yml up -d
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```
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Cela vous donne Postgres sur le port 5432 et Redis sur le port 6379. Générez ensuite et appliquez les migrations :
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```bash
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cd apps/api
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npx drizzle-kit generate # generate a migration from schema changes
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npx drizzle-kit migrate # apply pending migrations
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```
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Le schéma est défini dans `apps/api/src/db/schema.ts`. Tables : users, sessions, settings, jobs, apiKeys, pipelines, teams, userFiles, roles, auditLog.
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## Ajouter un nouvel outil {#adding-a-new-tool}
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Chaque outil suit le même schéma. Voici un exemple minimal.
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### 1. Route backend {#_1-backend-route}
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Créez `apps/api/src/routes/tools/my-tool.ts` :
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```ts
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import { z } from "zod";
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import type { FastifyInstance } from "fastify";
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import { createToolRoute } from "../tool-factory.js";
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const settingsSchema = z.object({
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intensity: z.number().min(0).max(100).default(50),
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});
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export function registerMyTool(app: FastifyInstance) {
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createToolRoute(app, {
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toolId: "my-tool",
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settingsSchema,
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async process(inputBuffer, settings, filename) {
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// Use sharp or other libraries to process the image
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const sharp = (await import("sharp")).default;
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const result = await sharp(inputBuffer)
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// ... your processing logic
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.toBuffer();
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return {
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buffer: result,
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filename: filename.replace(/\.[^.]+$/, ".png"),
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contentType: "image/png",
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};
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},
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});
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}
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```
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Puis enregistrez-la dans `apps/api/src/routes/tools/index.ts`.
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### 2. Composant de paramètres frontend {#_2-frontend-settings-component}
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Créez `apps/web/src/components/tools/my-tool-settings.tsx` :
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```tsx
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import { useState } from "react";
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import { useToolProcessor } from "@/hooks/use-tool-processor";
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import { useFileStore } from "@/stores/file-store";
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export function MyToolSettings() {
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const { files } = useFileStore();
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const { processFiles, processing, error, downloadUrl } =
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useToolProcessor("my-tool");
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const [intensity, setIntensity] = useState(50);
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const handleProcess = () => {
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processFiles(files, { intensity });
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};
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return (
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<div className="space-y-4">
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{/* your controls here */}
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<button
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type="button"
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onClick={handleProcess}
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disabled={files.length === 0 || processing}
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data-testid="my-tool-submit"
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className="w-full py-2.5 rounded-lg bg-primary text-primary-foreground font-medium disabled:opacity-50"
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>
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Process
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</button>
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</div>
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);
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}
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```
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Puis enregistrez-le dans le registre d'outils frontend à `apps/web/src/lib/tool-registry.tsx` :
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```tsx
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// Add the lazy import
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const MyToolSettings = lazy(() =>
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import("@/components/tools/my-tool-settings").then((m) => ({
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default: m.MyToolSettings,
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})),
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);
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// Add to the toolRegistry Map
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["my-tool", { displayMode: "before-after", Settings: MyToolSettings }],
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```
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Modes d'affichage : `"side-by-side"`, `"before-after"`, `"live-preview"`, `"no-comparison"`, `"interactive-crop"`, `"interactive-eraser"`, `"no-dropzone"`.
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### 3. Entrée i18n {#_3-i18n-entry}
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Ajoutez à `packages/shared/src/i18n/en.ts` :
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```ts
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"my-tool": {
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name: "My Tool",
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description: "Short description of what this tool does",
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},
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```
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### 4. Tests {#_4-tests}
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Ajoutez un attribut `data-testid` à votre bouton d'action (comme montré ci-dessus) afin que les tests e2e puissent le cibler de manière fiable.
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## Builds Docker {#docker-builds}
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Construisez l'image de production complète en local :
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```bash
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docker build -f docker/Dockerfile -t snapotter:latest .
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```
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Utilisez les cache mounts de BuildKit pour des reconstructions plus rapides :
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```bash
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DOCKER_BUILDKIT=1 docker build -f docker/Dockerfile -t snapotter:latest .
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```
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## Variables d'environnement {#environment-variables}
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Consultez le [Guide de configuration](/fr/guide/configuration) pour la liste complète. Les principales pour le développement :
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| Variable | Par défaut | Description |
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|-----------------------------|-----------|------------------------------------------------|
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| `AUTH_ENABLED` | `true` | Activer/désactiver l'authentification |
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| `DEFAULT_USERNAME` | `admin` | Nom d'utilisateur admin par défaut |
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| `DEFAULT_PASSWORD` | `admin` | Mot de passe admin par défaut |
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| `SKIP_MUST_CHANGE_PASSWORD` | `false` | Ignorer le changement forcé de mot de passe (CI/dev uniquement) |
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| `RATE_LIMIT_PER_MIN` | `1000` | Limite de débit de l'API par minute (0 = désactivée) |
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| `MAX_UPLOAD_SIZE_MB` | `100` | Taille d'envoi maximale en Mo (0 = illimité) |
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