commit 445970b7d48d4d20b84568b9e520deb3bdd1de23 Author: albert Date: Sun Mar 29 21:57:57 2026 -0400 Initial commit: Image moderation service using local vision LLM diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..00f5ae2 --- /dev/null +++ b/.env.example @@ -0,0 +1,11 @@ +PORT=8100 +VISION_AI_URL=http://localhost:8000/v1/chat/completions +VISION_AI_MODEL=gemma3:4b +VISION_AI_TIMEOUT=90000 +TILE_THRESHOLD=1024 + +# Callbacks when image is flagged unsafe +UPLOAD_SERVICE_REPLACE_URL=http://192.168.0.145:3003/internal/replace +UPLOAD_SERVICE_SECRET= +PAROCHIA_CALLBACK_URL=https://parochia.org/api/images/moderation-callback +PAROCHIA_CALLBACK_SECRET= diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..deed335 --- /dev/null +++ b/.gitignore @@ -0,0 +1,3 @@ +node_modules/ +dist/ +.env diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..ad0c295 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,2395 @@ +{ + 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a/package.json b/package.json new file mode 100644 index 0000000..5d5af40 --- /dev/null +++ b/package.json @@ -0,0 +1,24 @@ +{ + "name": "image-moderation-service", + "version": "1.0.0", + "description": "Standalone image moderation service using local vision AI", + "main": "dist/server.js", + "scripts": { + "dev": "tsx watch src/server.ts", + "build": "tsc", + "start": "node dist/server.js" + }, + "dependencies": { + "dotenv": "^16.4.7", + "express": "^5.1.0", + "multer": "^1.4.5-lts.2", + "node-windows": "^1.0.0-beta.8", + "sharp": "^0.33.5" + }, + "devDependencies": { + "@types/express": "^5.0.2", + "@types/multer": "^1.4.12", + "tsx": "^4.19.4", + "typescript": "^5.8.2" + } +} diff --git a/service-install.js b/service-install.js new file mode 100644 index 0000000..04c40f8 --- /dev/null +++ b/service-install.js @@ -0,0 +1,27 @@ +const Service = require("node-windows").Service; +const path = require("path"); + +const svc = new Service({ + name: "Image Moderation Service", + description: "Standalone image moderation service using local vision AI", + script: path.join(__dirname, "dist", "server.js"), + nodeOptions: [], + env: [ + { name: "PATH", value: process.env.PATH }, + ], +}); + +svc.on("install", () => { + console.log("Service installed. Starting..."); + svc.start(); +}); + +svc.on("start", () => { + console.log("Service started!"); +}); + +svc.on("error", (err) => { + console.error("Error:", err); +}); + +svc.install(); diff --git a/service-uninstall.js b/service-uninstall.js new file mode 100644 index 0000000..4b68f2d --- /dev/null +++ b/service-uninstall.js @@ -0,0 +1,13 @@ +const Service = require("node-windows").Service; +const path = require("path"); + +const svc = new Service({ + name: "Image Moderation Service", + script: path.join(__dirname, "dist", "server.js"), +}); + +svc.on("uninstall", () => { + console.log("Service uninstalled."); +}); + +svc.uninstall(); diff --git a/src/moderate.ts b/src/moderate.ts new file mode 100644 index 0000000..828c92b --- /dev/null +++ b/src/moderate.ts @@ -0,0 +1,218 @@ +import sharp from "sharp"; + +// --- Config --- + +const VISION_AI_URL = + process.env.VISION_AI_URL || "http://localhost:8000/v1/chat/completions"; +const VISION_AI_MODEL = process.env.VISION_AI_MODEL || "gemma3:4b"; +const VISION_AI_TIMEOUT = parseInt( + process.env.VISION_AI_TIMEOUT || "30000", + 10 +); +const TILE_THRESHOLD = parseInt(process.env.TILE_THRESHOLD || "1024", 10); + +// --- Types --- + +export interface ModerationResult { + safe: boolean; + reason?: string; +} + +// --- Prompts --- + +const PROMPTS: Record = { + general: `You are a content moderation system. Analyze this image for safety. + +Check for: +- Nudity or sexually explicit content +- Graphic violence or gore +- Hate symbols or extremist imagery +- Drug use or paraphernalia + +Respond with exactly one word on the first line: SAFE or UNSAFE +If UNSAFE, add a brief reason on the second line.`, + + church: `You are a content moderation system for Catholic parish websites. Analyze this image for safety. + +Check for: +- Nudity or sexually explicit content +- Graphic violence or gore +- Hate symbols or extremist imagery +- Drug use or paraphernalia + +Note: Religious imagery (crucifixes, saints, stained glass, statues, liturgical art) is SAFE and expected. Depictions of the crucifixion or martyrdom in a religious context are SAFE. + +Respond with exactly one word on the first line: SAFE or UNSAFE +If UNSAFE, add a brief reason on the second line.`, +}; + +// --- Vision AI call --- + +async function callVisionAI( + imageBase64: string, + mimeType: string, + context: string +): Promise { + const prompt = PROMPTS[context] || PROMPTS.general; + + const controller = new AbortController(); + const timeout = setTimeout(() => controller.abort(), VISION_AI_TIMEOUT); + + try { + const response = await fetch(VISION_AI_URL, { + method: "POST", + headers: { "Content-Type": "application/json" }, + signal: controller.signal, + body: JSON.stringify({ + model: VISION_AI_MODEL, + messages: [ + { + role: "user", + content: [ + { type: "text", text: prompt }, + { + type: "image_url", + image_url: { + url: `data:${mimeType};base64,${imageBase64}`, + }, + }, + ], + }, + ], + max_tokens: 100, + temperature: 0.1, + }), + }); + + if (!response.ok) { + throw new Error(`Vision AI returned ${response.status}`); + } + + const data = (await response.json()) as { + choices?: { message?: { content?: string } }[]; + }; + return data.choices?.[0]?.message?.content?.trim() || ""; + } finally { + clearTimeout(timeout); + } +} + +function parseVerdict(response: string): ModerationResult { + const firstLine = response.split("\n")[0].trim().toUpperCase(); + + if (firstLine.startsWith("UNSAFE")) { + const lines = response.split("\n"); + const reason = lines + .slice(1) + .map((l: string) => l.trim()) + .filter(Boolean) + .join(" "); + return { safe: false, reason: reason || "Content flagged as unsafe" }; + } + + // Only explicit UNSAFE triggers rejection — everything else (SAFE, garbled, empty) passes + return { safe: true }; +} + +// --- Tile slicing --- + +interface TileBuffer { + buffer: Buffer; + mimeType: string; +} + +async function sliceIntoTiles( + imageBuffer: Buffer, + width: number, + height: number +): Promise { + const gridSize = width > 2048 || height > 2048 ? 3 : 2; + const tileW = Math.floor(width / gridSize); + const tileH = Math.floor(height / gridSize); + const targetSize = 512; + + const tiles: Promise[] = []; + + for (let row = 0; row < gridSize; row++) { + for (let col = 0; col < gridSize; col++) { + const left = col * tileW; + const top = row * tileH; + // Last tile in row/col extends to edge to avoid missing pixels + const extractW = col === gridSize - 1 ? width - left : tileW; + const extractH = row === gridSize - 1 ? height - top : tileH; + + tiles.push( + sharp(imageBuffer) + .extract({ left, top, width: extractW, height: extractH }) + .resize(targetSize, targetSize, { fit: "inside" }) + .jpeg({ quality: 80 }) + .toBuffer() + .then((buffer) => ({ buffer, mimeType: "image/jpeg" })) + ); + } + } + + return Promise.all(tiles); +} + +// --- Main moderation function --- + +export async function moderateImage( + imageBuffer: Buffer, + context: string = "general" +): Promise { + try { + const metadata = await sharp(imageBuffer).metadata(); + const width = metadata.width || 0; + const height = metadata.height || 0; + + if (width === 0 || height === 0) { + console.warn("Could not read image dimensions — allowing image"); + return { safe: true }; + } + + const isLarge = width > TILE_THRESHOLD || height > TILE_THRESHOLD; + + // Always analyze the full image (resized to fit within 1024px) + const fullImageBuffer = await sharp(imageBuffer) + .resize(1024, 1024, { fit: "inside" }) + .jpeg({ quality: 85 }) + .toBuffer(); + const fullBase64 = fullImageBuffer.toString("base64"); + + if (!isLarge) { + // Small image: just analyze the full image + const response = await callVisionAI(fullBase64, "image/jpeg", context); + return parseVerdict(response); + } + + // Large image: full image + tiles in parallel + const tiles = await sliceIntoTiles(imageBuffer, width, height); + + const allPromises = [ + callVisionAI(fullBase64, "image/jpeg", context), + ...tiles.map((tile) => + callVisionAI(tile.buffer.toString("base64"), tile.mimeType, context) + ), + ]; + + const results = await Promise.all(allPromises); + + // If ANY result is UNSAFE, reject the image + for (const response of results) { + const verdict = parseVerdict(response); + if (!verdict.safe) { + return verdict; + } + } + + return { safe: true }; + } catch (error) { + console.error( + "Moderation error:", + error instanceof Error ? error.message : error + ); + // Fail open — allow the image if vision AI is unavailable + return { safe: true }; + } +} diff --git a/src/server.ts b/src/server.ts new file mode 100644 index 0000000..042001e --- /dev/null +++ b/src/server.ts @@ -0,0 +1,180 @@ +import "dotenv/config"; +import express, { Request, Response, NextFunction } from "express"; +import multer from "multer"; +import { moderateImage } from "./moderate"; + +const PORT = parseInt(process.env.PORT || "8100", 10); +const MAX_FILE_SIZE = 20 * 1024 * 1024; // 20MB + +// Callback config — where to report unsafe images +const UPLOAD_SERVICE_REPLACE_URL = + process.env.UPLOAD_SERVICE_REPLACE_URL || ""; +const UPLOAD_SERVICE_SECRET = process.env.UPLOAD_SERVICE_SECRET || ""; +const PAROCHIA_CALLBACK_URL = process.env.PAROCHIA_CALLBACK_URL || ""; +const PAROCHIA_CALLBACK_SECRET = process.env.PAROCHIA_CALLBACK_SECRET || ""; + +const ALLOWED_MIMES = new Set([ + "image/jpeg", + "image/png", + "image/webp", + "image/gif", +]); + +const app = express(); + +const upload = multer({ + storage: multer.memoryStorage(), + limits: { + fileSize: MAX_FILE_SIZE, + files: 1, + }, + fileFilter: (_req, file, cb) => { + if (ALLOWED_MIMES.has(file.mimetype)) { + cb(null, true); + } else { + cb(new Error("Invalid file type. Allowed: JPEG, PNG, WebP, GIF")); + } + }, +}); + +// --- Callback helpers --- + +async function notifyUnsafe( + imagePath: string, + userId: string, + siteId: string, + reason: string +): Promise { + // Tell upload service to replace image with stub + if (UPLOAD_SERVICE_REPLACE_URL && UPLOAD_SERVICE_SECRET) { + try { + const res = await fetch(UPLOAD_SERVICE_REPLACE_URL, { + method: "POST", + headers: { + "Content-Type": "application/json", + "x-internal-secret": UPLOAD_SERVICE_SECRET, + }, + body: JSON.stringify({ imagePath }), + signal: AbortSignal.timeout(10000), + }); + if (!res.ok) { + console.error(`Replace callback failed: ${res.status}`); + } + } catch (err) { + console.error( + "Replace callback error:", + err instanceof Error ? err.message : err + ); + } + } + + // Tell Parochia to flag the user + if (PAROCHIA_CALLBACK_URL && PAROCHIA_CALLBACK_SECRET) { + try { + const res = await fetch(PAROCHIA_CALLBACK_URL, { + method: "POST", + headers: { + "Content-Type": "application/json", + "x-callback-secret": PAROCHIA_CALLBACK_SECRET, + }, + body: JSON.stringify({ + userId, + siteId, + reason: "explicit_image", + details: reason, + }), + signal: AbortSignal.timeout(10000), + }); + if (!res.ok) { + console.error(`Parochia callback failed: ${res.status}`); + } + } catch (err) { + console.error( + "Parochia callback error:", + err instanceof Error ? err.message : err + ); + } + } +} + +// --- Routes --- + +// Health check +app.get("/health", (_req: Request, res: Response) => { + res.json({ status: "ok", timestamp: new Date().toISOString() }); +}); + +// Moderation endpoint +// Accepts: file (image), context, imagePath, userId, siteId +// If called with metadata fields, will fire callbacks on UNSAFE result +app.post( + "/moderate", + upload.single("file"), + async (req: Request, res: Response, next: NextFunction) => { + try { + const file = req.file; + if (!file) { + res.status(400).json({ error: "No file provided" }); + return; + } + + const context = + typeof req.body?.context === "string" ? req.body.context : "general"; + + const result = await moderateImage(file.buffer, context); + + // If unsafe and metadata was provided, fire callbacks + if (!result.safe && req.body?.imagePath) { + const { imagePath, userId, siteId } = req.body; + // Fire-and-forget — don't block the response + notifyUnsafe( + imagePath, + userId || "", + siteId || "", + result.reason || "Content flagged as unsafe" + ).catch((err) => + console.error("Callback dispatch error:", err) + ); + } + + res.json(result); + } catch (err) { + next(err); + } + } +); + +// 404 catch-all +app.use((_req: Request, res: Response) => { + res.status(404).json({ error: "Not found" }); +}); + +// Error handler +app.use((err: Error, _req: Request, res: Response, _next: NextFunction) => { + if ( + err instanceof multer.MulterError && + err.code === "LIMIT_FILE_SIZE" + ) { + res.status(413).json({ error: "File too large. Maximum size is 20MB." }); + return; + } + + if (err.message.startsWith("Invalid file type")) { + res.status(400).json({ error: err.message }); + return; + } + + console.error("Internal error:", err.message); + res.status(500).json({ error: "Internal server error" }); +}); + +app.listen(PORT, "0.0.0.0", () => { + console.log(`Image moderation service listening on port ${PORT}`); + console.log( + `Vision AI: ${process.env.VISION_AI_URL || "http://localhost:8000/v1/chat/completions"}` + ); + console.log(`Model: ${process.env.VISION_AI_MODEL || "gemma3:4b"}`); + console.log( + `Callbacks: replace=${UPLOAD_SERVICE_REPLACE_URL ? "configured" : "none"}, parochia=${PAROCHIA_CALLBACK_URL ? "configured" : "none"}` + ); +}); diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..898907e --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,17 @@ +{ + "compilerOptions": { + "target": "ES2022", + "module": "commonjs", + "lib": ["ES2022"], + "outDir": "dist", + "rootDir": "src", + "strict": true, + "esModuleInterop": true, + "skipLibCheck": true, + "forceConsistentCasingInFileNames": true, + "resolveJsonModule": true, + "declaration": true + }, + "include": ["src"], + "exclude": ["node_modules", "dist"] +}