fix: add canvas build deps for gatekeeper x86 build

.dockerignore

@@ -24,5 +24,3 @@ coverage
 **/.pnpm-store
 .gitea
 **/.gitea
-models
-**/models

.env

@@ -1,5 +1,5 @@
 # Project
-IMAGE_TAG=v1.8.6
+IMAGE_TAG=v1.8.19
 PROJECT_NAME=at-mintel
 PROJECT_COLOR=#82ed20
 GITEA_TOKEN=ccce002e30fe16a31a6c9d5a414740af2f72a582

.env.example

@@ -1,5 +1,5 @@
 # Project
-IMAGE_TAG=v1.8.11
+IMAGE_TAG=v1.8.21
 PROJECT_NAME=sample-website
 PROJECT_COLOR=#82ed20
 

.gitea/workflows/pipeline.yml

@@ -214,7 +214,7 @@ jobs:
         with:
           context: .
           file: ${{ matrix.file }}
-          platforms: linux/arm64
+          platforms: linux/amd64
           pull: true
           provenance: false
           push: true

.husky/pre-push

@@ -35,8 +35,9 @@ do
       # Push the updated tag directly (using --no-verify to avoid recursion)
       git push origin "$TAG" --force --no-verify
       
-      echo "✨ All done! Hook integrated the sync and pushed for you."
-      exit 1 # Still exit 1 to abort the original (now outdated) push attempt
+      echo "✨ Success! The hook synchronized the versions and pushed the updated tag for you."
+      echo "ℹ️  Note: The original push command was aborted in favor of the auto-push. This is normal."
+      exit 0 # Change to exit 0 to not show as an 'error' in vscode/terminal, though original push will still be technically 'failed' by git
     else
       echo "✨ Versions already in sync for $TAG."
     fi

README.md

@@ -81,3 +81,4 @@ Client websites scaffolded via the CLI use a **tag-based deployment** strategy:
 
 See the [`@mintel/infra`](packages/infra/README.md) package for detailed template documentation.
 
+Trigger rebuilding for x86 architecture.

apps/image-service/Dockerfile

@@ -1,39 +1,39 @@
 FROM node:20.18-bookworm-slim AS base
 ENV PNPM_HOME="/pnpm"
 ENV PATH="$PNPM_HOME:$PATH"
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    python3 \
+    libcairo2-dev \
+    libpango1.0-dev \
+    libjpeg-dev \
+    libgif-dev \
+    librsvg2-dev \
+    libexpat1 \
+    && rm -rf /var/lib/apt/lists/*
 RUN npm install -g pnpm@10.30.1
 
 FROM base AS build
 WORKDIR /app
 COPY . .
-# Note: Canvas needs build tools on Debian
-RUN apt-get update && apt-get install -y python3 make g++ libcairo2-dev libpango1.0-dev libjpeg-dev libgif-dev librsvg2-dev
+# We only need standard pnpm install now, no C++ tools needed for basic Sharp
 RUN pnpm install --frozen-lockfile
-# Force tfjs-node to build the native addon from source so it compiles for arm64 (bypassing pnpm quirks)
-RUN for f in $(find /app/node_modules/.pnpm -path "*/@tensorflow/tfjs-node/scripts/install.js"); do cd $(dirname $(dirname $f)) && npm run install -- build-addon-from-source; done
-RUN pnpm install --frozen-lockfile
-# Generate models explicitly for Docker
-RUN ls -la packages/image-processor/scripts || true
-RUN pnpm dlx tsx packages/image-processor/scripts/download-models.ts
 RUN pnpm --filter @mintel/image-processor build
 RUN pnpm --filter image-service build
-# Generated locally for caching
 
 FROM base
 WORKDIR /app
-COPY --from=build /app/node_modules ./node_modules
-COPY --from=build /app/apps/image-service/node_modules ./apps/image-service/node_modules
-COPY --from=build /app/packages/image-processor/node_modules ./packages/image-processor/node_modules
-# Make sure directories exist to prevent COPY errors
-RUN mkdir -p /app/packages/image-processor/models /app/apps/image-service/dist
-COPY --from=build /app/apps/image-service/dist ./apps/image-service/dist
-COPY --from=build /app/apps/image-service/package.json ./apps/image-service/package.json
-COPY --from=build /app/packages/image-processor/dist ./packages/image-processor/dist
-COPY --from=build /app/packages/image-processor/package.json ./packages/image-processor/package.json
-COPY --from=build /app/packages/image-processor/models ./packages/image-processor/models
+# Instead of copying node_modules which contains native C++ bindings for canvas and tfjs-node,
+# we copy the package.json files and install natively in the final stage so the bindings are correct.
+COPY package.json pnpm-workspace.yaml pnpm-lock.yaml ./
+COPY apps/image-service/package.json ./apps/image-service/package.json
+COPY packages/image-processor/package.json ./packages/image-processor/package.json
 
-# Need runtime dependencies for canvas/sharp on Debian
-RUN apt-get update && apt-get install -y libcairo2 libpango-1.0-0 libjpeg62-turbo libgif7 librsvg2-2 && rm -rf /var/lib/apt/lists/*
+RUN pnpm install --frozen-lockfile --filter image-service...
+
+COPY --from=build /app/apps/image-service/dist ./apps/image-service/dist
+COPY --from=build /app/packages/image-processor/dist ./packages/image-processor/dist
+COPY --from=build /app/packages/image-processor/models ./packages/image-processor/models
 
 EXPOSE 8080
 WORKDIR /app/apps/image-service

apps/image-service/package.json

@@ -1,6 +1,6 @@
 {
   "name": "image-service",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "private": true,
   "type": "module",
   "scripts": {

apps/image-service/src/index.ts

@@ -1,45 +1,51 @@
 import Fastify from "fastify";
-import { processImageWithSmartCrop } from "@mintel/image-processor";
+import {
+  processImageWithSmartCrop,
+  parseImgproxyOptions,
+  mapUrl,
+} from "@mintel/image-processor";
 
 const fastify = Fastify({
   logger: true,
 });
 
 fastify.get("/unsafe/:options/:urlSafeB64", async (request, reply) => {
-  // Compatibility endpoint for old imgproxy calls (optional, but requested by some systems sometimes)
-  // For now, replacing logic in clients is preferred. So we just redirect or error.
-  return reply
-    .status(400)
-    .send({ error: "Legacy imgproxy API not supported. Use /process" });
-});
-
-fastify.get("/process", async (request, reply) => {
-  const query = request.query as {
-    url?: string;
-    w?: string;
-    h?: string;
-    q?: string;
-    format?: string;
+  const { options, urlSafeB64 } = request.params as {
+    options: string;
+    urlSafeB64: string;
   };
 
-  const { url } = query;
-  const width = parseInt(query.w || "800", 10);
-  const height = parseInt(query.h || "600", 10);
-  const quality = parseInt(query.q || "80", 10);
-  const format = (query.format || "webp") as "webp" | "jpeg" | "png" | "avif";
-
-  if (!url) {
-    return reply.status(400).send({ error: 'Parameter "url" is required' });
+  // urlSafeB64 might be "plain/http://..." or a Base64 string
+  let url = "";
+  if (urlSafeB64.startsWith("plain/")) {
+    url = urlSafeB64.substring(6);
+  } else {
+    try {
+      url = Buffer.from(urlSafeB64, "base64").toString("utf-8");
+    } catch (e) {
+      return reply.status(400).send({ error: "Invalid Base64 URL" });
+    }
   }
 
+  const parsedOptions = parseImgproxyOptions(options);
+  const mappedUrl = mapUrl(url, process.env.IMGPROXY_URL_MAPPING);
+
+  return handleProcessing(mappedUrl, parsedOptions, reply);
+});
+
+// Helper to avoid duplication
+async function handleProcessing(url: string, options: any, reply: any) {
+  const width = options.width || 800;
+  const height = options.height || 600;
+  const quality = options.quality || 80;
+  const format = options.format || "webp";
+
   try {
     const response = await fetch(url);
     if (!response.ok) {
-      return reply
-        .status(response.status)
-        .send({
-          error: `Failed to fetch source image: ${response.statusText}`,
-        });
+      return reply.status(response.status).send({
+        error: `Failed to fetch source image: ${response.statusText}`,
+      });
     }
 
     const arrayBuffer = await response.arrayBuffer();
@@ -61,6 +67,29 @@ fastify.get("/process", async (request, reply) => {
       .status(500)
       .send({ error: "Internal Server Error processing image" });
   }
+}
+
+fastify.get("/process", async (request, reply) => {
+  const query = request.query as {
+    url?: string;
+    w?: string;
+    h?: string;
+    q?: string;
+    format?: string;
+  };
+
+  const { url } = query;
+  const width = parseInt(query.w || "800", 10);
+  const height = parseInt(query.h || "600", 10);
+  const quality = parseInt(query.q || "80", 10);
+  const format = (query.format || "webp") as any;
+
+  if (!url) {
+    return reply.status(400).send({ error: 'Parameter "url" is required' });
+  }
+
+  const mappedUrl = mapUrl(url, process.env.IMGPROXY_URL_MAPPING);
+  return handleProcessing(mappedUrl, { width, height, quality, format }, reply);
 });
 
 fastify.get("/health", async () => {

apps/sample-website/next.config.ts

@@ -1,6 +1,13 @@
 import mintelNextConfig from "@mintel/next-config";
 
 /** @type {import('next').NextConfig} */
-const nextConfig = {};
+const nextConfig = {
+  serverExternalPackages: [
+    "@mintel/image-processor",
+    "@tensorflow/tfjs-node",
+    "sharp",
+    "canvas",
+  ],
+};
 
 export default mintelNextConfig(nextConfig);

apps/sample-website/package.json

@@ -1,6 +1,6 @@
 {
   "name": "sample-website",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "private": true,
   "type": "module",
   "scripts": {

apps/sample-website/src/app/api/image/route.ts

@@ -1,45 +1,60 @@
-import { NextRequest, NextResponse } from 'next/server';
-import { processImageWithSmartCrop } from '@mintel/image-processor';
+import { NextRequest, NextResponse } from "next/server";
+
+export const dynamic = "force-dynamic";
+export const runtime = "nodejs";
 
 export async function GET(request: NextRequest) {
-    const { searchParams } = new URL(request.url);
-    const url = searchParams.get('url');
-    let width = parseInt(searchParams.get('w') || '800');
-    let height = parseInt(searchParams.get('h') || '600');
-    let q = parseInt(searchParams.get('q') || '80');
+  const { searchParams } = new URL(request.url);
+  const url = searchParams.get("url");
+  const width = parseInt(searchParams.get("w") || "800");
+  const height = parseInt(searchParams.get("h") || "600");
+  const q = parseInt(searchParams.get("q") || "80");
 
-    if (!url) {
-        return NextResponse.json({ error: 'Missing url parameter' }, { status: 400 });
+  if (!url) {
+    return NextResponse.json(
+      { error: "Missing url parameter" },
+      { status: 400 },
+    );
+  }
+
+  try {
+    // 1. Fetch image from original URL
+    const response = await fetch(url);
+    if (!response.ok) {
+      return NextResponse.json(
+        { error: "Failed to fetch original image" },
+        { status: response.status },
+      );
     }
 
-    try {
-        // 1. Fetch image from original URL
-        const response = await fetch(url);
-        if (!response.ok) {
-            return NextResponse.json({ error: 'Failed to fetch original image' }, { status: response.status });
-        }
+    const arrayBuffer = await response.arrayBuffer();
+    const buffer = Buffer.from(arrayBuffer);
 
-        const arrayBuffer = await response.arrayBuffer();
-        const buffer = Buffer.from(arrayBuffer);
+    // Dynamically import to prevent Next.js from trying to bundle tfjs-node/sharp locally at build time
+    const { processImageWithSmartCrop } =
+      await import("@mintel/image-processor");
 
-        // 2. Process image with Face-API and Sharp
-        const processedBuffer = await processImageWithSmartCrop(buffer, {
-            width,
-            height,
-            format: 'webp',
-            quality: q,
-        });
+    // 2. Process image with Face-API and Sharp
+    const processedBuffer = await processImageWithSmartCrop(buffer, {
+      width,
+      height,
+      format: "webp",
+      quality: q,
+    });
 
-        // 3. Return the processed image
-        return new NextResponse(new Uint8Array(processedBuffer), {
-            status: 200,
-            headers: {
-                'Content-Type': 'image/webp',
-                'Cache-Control': 'public, max-age=31536000, immutable',
-            },
-        });
-    } catch (error) {
-        console.error('Image Processing Error:', error);
-        return NextResponse.json({ error: 'Failed to process image' }, { status: 500 });
-    }
+    // 3. Return the processed image
+    return new NextResponse(new Uint8Array(processedBuffer), {
+      status: 200,
+      headers: {
+        "Content-Type": "image/webp",
+        "Cache-Control": "public, max-age=31536000, immutable",
+      },
+    });
+  } catch (error) {
+    console.error("Image Processing Error:", error);
+    return NextResponse.json(
+      { error: "Failed to process image" },
+      { status: 500 },
+    );
+  }
 }

optimize-images.sh

@@ -0,0 +1,14 @@
+#!/bin/bash
+
+# Ghost Image Optimizer
+# Target directory for Ghost content
+TARGET_DIR="/home/deploy/sites/marisas.world/content/images"
+
+echo "Starting image optimization for $TARGET_DIR..."
+
+# Find all original images, excluding the 'size/' directory where Ghost stores thumbnails
+# Resize images larger than 2500px down to 2500px width
+# Compress JPEG/PNG to 80% quality
+find "$TARGET_DIR" -type d -name "size" -prune -o \( -iname "*.jpg" -o -iname "*.jpeg" -o -iname "*.png" \) -type f -exec mogrify -resize '2500x>' -quality 80 {} +
+
+echo "Optimization complete."

package.json

@@ -57,7 +57,7 @@
     "pino-pretty": "^13.1.3",
     "require-in-the-middle": "^8.0.1"
   },
-  "version": "1.8.11",
+  "version": "1.8.21",
   "pnpm": {
     "onlyBuiltDependencies": [
       "@parcel/watcher",

packages/acquisition-manager/package.json

@@ -2,7 +2,7 @@
   "name": "acquisition-manager",
   "description": "Custom High-Fidelity Management for Directus",
   "icon": "extension",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "type": "module",
   "keywords": [
     "directus",

packages/acquisition/package.json

@@ -1,6 +1,6 @@
 {
   "name": "acquisition",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "type": "module",
   "directus:extension": {
     "type": "endpoint",

packages/cli/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/cli",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "publishConfig": {
     "access": "public",
     "registry": "https://npm.infra.mintel.me"

packages/cloner-library/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/cloner",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "type": "module",
   "main": "dist/index.js",
   "module": "dist/index.js",

packages/cms-infra/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/cms-infra",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "private": true,
   "type": "module",
   "scripts": {

packages/company-manager/package.json

@@ -2,7 +2,7 @@
   "name": "company-manager",
   "description": "Custom High-Fidelity Management for Directus",
   "icon": "extension",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "type": "module",
   "keywords": [
     "directus",

packages/concept-engine/package.json

@@ -0,0 +1,38 @@
+{
+  "name": "@mintel/concept-engine",
+  "version": "1.8.21",
+  "private": true,
+  "description": "AI-powered web project concept generation and analysis",
+  "type": "module",
+  "main": "./dist/index.js",
+  "module": "./dist/index.js",
+  "types": "./dist/index.d.ts",
+  "bin": {
+    "concept": "./dist/cli.js"
+  },
+  "scripts": {
+    "build": "tsup",
+    "dev": "tsup --watch",
+    "test": "vitest",
+    "clean": "rm -rf dist",
+    "lint": "eslint src --ext .ts",
+    "concept": "tsx src/cli.ts run"
+  },
+  "dependencies": {
+    "@crawlee/cheerio": "^3.11.2",
+    "@mintel/journaling": "workspace:*",
+    "@mintel/page-audit": "workspace:*",
+    "axios": "^1.7.9",
+    "cheerio": "1.0.0-rc.12",
+    "commander": "^13.1.0",
+    "dotenv": "^16.4.7",
+    "zod": "^3.24.2"
+  },
+  "devDependencies": {
+    "@types/node": "^20.17.17",
+    "tsup": "^8.3.6",
+    "tsx": "^4.19.2",
+    "typescript": "^5.7.3",
+    "vitest": "^3.0.5"
+  }
+}

packages/content-engine/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@mintel/content-engine",
-  "version": "1.8.11",
-  "private": true,
+  "version": "1.8.21",
+  "private": false,
   "type": "module",
   "main": "./dist/index.js",
   "module": "./dist/index.js",

packages/content-engine/src/orchestrator.ts

@@ -17,6 +17,7 @@ export interface OptimizationTask {
   availableComponents?: ComponentDefinition[];
   instructions?: string;
   internalLinks?: { title: string; slug: string }[];
+  customSources?: string[];
 }
 
 export interface OptimizeFileOptions {
@@ -211,7 +212,32 @@ export class AiBlogPostOrchestrator {
     console.log(`✅ Saved optimized file to: ${finalPath}`);
   }
 
-  private async generateVisualPrompt(content: string): Promise<string> {
+  async generateSlug(content: string, title?: string, instructions?: string): Promise<string> {
+    const response = await this.openai.chat.completions.create({
+      model: "google/gemini-2.5-flash",
+      messages: [
+        {
+          role: "system",
+          content: `You generate SEO-optimized URL slugs for B2B blog posts based on the provided content.
+Return ONLY a JSON object with a single string field "slug". 
+Example: {"slug": "how-to-optimize-react-performance"}
+Rules: Use lowercase letters, numbers, and hyphens only. No special characters. Keep it concise (2-5 words).`,
+        },
+        { role: "user", content: `Title: ${title || "Unknown"}\n\nContent:\n${content.slice(0, 3000)}...${instructions ? `\n\nEDITOR INSTRUCTIONS:\nPlease strictly follow these instructions from the editor when generating the slug:\n${instructions}` : ""}` },
+      ],
+      response_format: { type: "json_object" },
+    });
+
+    try {
+      const parsed = JSON.parse(response.choices[0].message.content || '{"slug": ""}');
+      let slug = parsed.slug || "new-post";
+      return slug.toLowerCase().replace(/[^a-z0-9]+/g, "-").replace(/^-+|-+$/g, "");
+    } catch {
+      return "new-post";
+    }
+  }
+
+  public async generateVisualPrompt(content: string, instructions?: string): Promise<string> {
     const response = await this.openai.chat.completions.create({
       model: this.model,
       messages: [
@@ -227,7 +253,7 @@ FOCUS: The core metaphor or technical concept of the article.
 
 Example output: "A complex network of glowing fiber optic nodes forming a recursive pyramid structure, technical blue lineart style."`,
         },
-        { role: "user", content: content.slice(0, 5000) },
+        { role: "user", content: `${content.slice(0, 5000)}${instructions ? `\n\nEDITOR INSTRUCTIONS:\nPlease strictly follow these instructions from the editor when generating the visual prompt:\n${instructions}` : ""}` },
       ],
       max_tokens: 100,
     });
@@ -303,6 +329,7 @@ Example output: "A complex network of glowing fiber optic nodes forming a recurs
       );
       const realPosts = await this.researchAgent.fetchRealSocialPosts(
         task.content.slice(0, 500),
+        task.customSources
       );
       socialPosts.push(...realPosts);
     }
@@ -470,7 +497,6 @@ BLOG POST BEST PRACTICES (MANDATORY):
 - MEME DIVERSITY: Du MUSST ZWINGEND für jedes Meme (sofern passend) abwechslungsreiche Templates nutzen. Um dies zu garantieren, wurde für diesen Artikel das folgende Template ausgewählt: '${forcedMeme}'. Du MUSST EXAKT DIESES TEMPLATE NUTZEN. Versuche nicht, es durch ein Standard-Template wie 'drake' zu ersetzen!
 - Zitat-Varianten: Wenn du Organisationen oder Studien zitierst, nutze ArticleQuote (mit isCompany=true für Firmen). Für Personen lass isCompany weg.
 - Füge zwingend ein prägnantes 'TL;DR' ganz am Anfang ein.
-- Füge ein sauberes TableOfContents ein.
 - Verwende unsere Komponenten stilvoll für Visualisierungen.
 - Agiere als hochprofessioneller Digital Architect und entferne alte MDX-Metadaten im Body.
 - Fazit: Schließe JEDEN Artikel ZWINGEND mit einem starken, klaren 'Fazit' ab.

packages/customer-manager/package.json

@@ -2,7 +2,7 @@
   "name": "customer-manager",
   "description": "Custom High-Fidelity Management for Directus",
   "icon": "extension",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "type": "module",
   "keywords": [
     "directus",

packages/directus-extension-toolkit/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/directus-extension-toolkit",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "description": "Shared toolkit for Directus extensions in the Mintel ecosystem",
   "type": "module",
   "main": "./dist/index.js",

packages/eslint-config/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/eslint-config",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "publishConfig": {
     "access": "public",
     "registry": "https://npm.infra.mintel.me"

packages/estimation-engine/package.json

@@ -0,0 +1,46 @@
+{
+  "name": "@mintel/estimation-engine",
+  "version": "1.8.21",
+  "private": true,
+  "type": "module",
+  "main": "./dist/index.js",
+  "module": "./dist/index.js",
+  "types": "./dist/index.d.ts",
+  "bin": {
+    "estimate": "./dist/cli.js"
+  },
+  "exports": {
+    ".": {
+      "types": "./dist/index.d.ts",
+      "import": "./dist/index.js"
+    }
+  },
+  "scripts": {
+    "build": "tsup src/index.ts src/cli.ts --format esm --dts --clean",
+    "dev": "tsup src/index.ts src/cli.ts --format esm --watch --dts",
+    "lint": "eslint src",
+    "estimate": "tsx src/cli.ts"
+  },
+  "dependencies": {
+    "@mintel/concept-engine": "workspace:*",
+    "axios": "^1.6.0",
+    "chalk": "^5.3.0",
+    "commander": "^12.0.0",
+    "dotenv": "^17.3.1",
+    "ink": "^5.1.0",
+    "ink-spinner": "^5.0.0",
+    "ink-select-input": "^6.0.0",
+    "ink-text-input": "^6.0.0",
+    "react": "^18.2.0",
+    "openai": "^4.82.0"
+  },
+  "devDependencies": {
+    "@mintel/eslint-config": "workspace:*",
+    "@mintel/tsconfig": "workspace:*",
+    "@types/node": "^20.0.0",
+    "@types/react": "^18.2.0",
+    "tsup": "^8.3.5",
+    "tsx": "^4.7.0",
+    "typescript": "^5.0.0"
+  }
+}

packages/feedback-commander/package.json

@@ -2,7 +2,7 @@
   "name": "feedback-commander",
   "description": "Custom High-Fidelity Management for Directus",
   "icon": "extension",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "type": "module",
   "keywords": [
     "directus",

packages/gatekeeper/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/gatekeeper",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "private": true,
   "type": "module",
   "scripts": {

packages/husky-config/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/husky-config",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "publishConfig": {
     "access": "public",
     "registry": "https://npm.infra.mintel.me"

packages/image-processor/models/tiny_face_detector_model-shard1

@@ -0,0 +1 @@
+404: Not Found

packages/image-processor/models/tiny_face_detector_model-weights_manifest.json

@@ -0,0 +1,30 @@
+[
+  {
+      "weights":
+      [
+          {"name":"conv0/filters","shape":[3,3,3,16],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.009007044399485869,"min":-1.2069439495311063}},
+          {"name":"conv0/bias","shape":[16],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005263455241334205,"min":-0.9211046672334858}},
+          {"name":"conv1/depthwise_filter","shape":[3,3,16,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.004001977630690033,"min":-0.5042491814669441}},
+          {"name":"conv1/pointwise_filter","shape":[1,1,16,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.013836609615999109,"min":-1.411334180831909}},
+          {"name":"conv1/bias","shape":[32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0015159862590771096,"min":-0.30926119685173037}},
+          {"name":"conv2/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.002666276225856706,"min":-0.317286870876948}},
+          {"name":"conv2/pointwise_filter","shape":[1,1,32,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.015265831292844286,"min":-1.6792414422128714}},
+          {"name":"conv2/bias","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0020280554598453,"min":-0.37113414915168985}},
+          {"name":"conv3/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006100742489683862,"min":-0.8907084034938438}},
+          {"name":"conv3/pointwise_filter","shape":[1,1,64,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.016276211832083907,"min":-2.0508026908425725}},
+          {"name":"conv3/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.003394414279975143,"min":-0.7637432129944072}},
+          {"name":"conv4/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006716050119961009,"min":-0.8059260143953211}},
+          {"name":"conv4/pointwise_filter","shape":[1,1,128,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.021875603993733724,"min":-2.8875797271728514}},
+          {"name":"conv4/bias","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0041141652009066415,"min":-0.8187188749804216}},
+          {"name":"conv5/depthwise_filter","shape":[3,3,256,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.008423839597141042,"min":-0.9013508368940915}},
+          {"name":"conv5/pointwise_filter","shape":[1,1,256,512],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.030007277283014035,"min":-3.8709387695088107}},
+          {"name":"conv5/bias","shape":[512],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.008402082966823203,"min":-1.4871686851277068}},
+          {"name":"conv8/filters","shape":[1,1,512,25],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.028336129469030042,"min":-4.675461362389957}},
+          {"name":"conv8/bias","shape":[25],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.002268134028303857,"min":-0.41053225912299807}}
+      ],
+      "paths":
+      [
+          "tiny_face_detector_model.bin"
+      ]
+  }
+]

packages/image-processor/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/image-processor",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "private": true,
   "type": "module",
   "main": "./dist/index.js",
@@ -13,14 +13,14 @@
     }
   },
   "scripts": {
-    "build": "tsup src/index.ts --format esm --dts --clean",
-    "dev": "tsup src/index.ts --format esm --watch --dts",
+    "build": "tsup",
+    "dev": "tsup --watch",
     "lint": "eslint src"
   },
   "dependencies": {
-    "@tensorflow/tfjs-node": "^4.22.0",
-    "@vladmandic/face-api": "^1.7.13",
-    "canvas": "^2.11.2",
+    "@tensorflow/tfjs": "^4.22.0",
+    "@vladmandic/face-api": "^1.7.15",
+    "canvas": "^3.2.1",
     "sharp": "^0.33.2"
   },
   "devDependencies": {

packages/image-processor/scripts/download-models.ts

@@ -1,55 +0,0 @@
-import * as fs from "node:fs";
-import * as path from "node:path";
-import * as https from "node:https";
-
-import { fileURLToPath } from "node:url";
-
-const __filename = fileURLToPath(import.meta.url);
-const __dirname = path.dirname(__filename);
-const MODELS_DIR = path.join(__dirname, "..", "models");
-const BASE_URL =
-  "https://raw.githubusercontent.com/vladmandic/face-api/master/model/";
-
-const models = [
-  "tiny_face_detector_model-weights_manifest.json",
-  "tiny_face_detector_model-shard1",
-];
-
-async function downloadModel(filename: string) {
-  const destPath = path.join(MODELS_DIR, filename);
-  if (fs.existsSync(destPath)) {
-    console.log(`Model ${filename} already exists.`);
-    return;
-  }
-
-  return new Promise((resolve, reject) => {
-    console.log(`Downloading ${filename}...`);
-    const file = fs.createWriteStream(destPath);
-    https
-      .get(BASE_URL + filename, (response) => {
-        response.pipe(file);
-        file.on("finish", () => {
-          file.close();
-          resolve(true);
-        });
-      })
-      .on("error", (err) => {
-        fs.unlinkSync(destPath);
-        reject(err);
-      });
-  });
-}
-
-async function main() {
-  if (!fs.existsSync(MODELS_DIR)) {
-    fs.mkdirSync(MODELS_DIR, { recursive: true });
-  }
-
-  for (const model of models) {
-    await downloadModel(model);
-  }
-
-  console.log("All models downloaded successfully!");
-}
-
-main().catch(console.error);

packages/image-processor/src/processor.ts

@@ -1,25 +1,33 @@
-import * as faceapi from "@vladmandic/face-api";
-// Provide Canvas fallback for face-api in Node.js
-import { Canvas, Image, ImageData } from "canvas";
 import sharp from "sharp";
-import * as path from "node:path";
-import { fileURLToPath } from "node:url";
+import { Canvas, Image, ImageData } from "canvas";
+// Use the ESM no-bundle build to avoid the default Node entrypoint
+// which hardcodes require('@tensorflow/tfjs-node') and crashes in Docker.
+// This build uses pure @tensorflow/tfjs (JS-only, no native C++ bindings).
+// @ts-ignore - direct path import has no type declarations
+import * as faceapi from "@vladmandic/face-api/dist/face-api.esm-nobundle.js";
+import * as tf from "@tensorflow/tfjs";
+import path from "path";
+import { fileURLToPath } from "url";
 
-// @ts-expect-error FaceAPI does not have type definitions for monkeyPatch
-faceapi.env.monkeyPatch({ Canvas, Image, ImageData });
+// Polyfill required by face-api for Node.js
+faceapi.env.monkeyPatch({ Canvas, Image, ImageData } as any);
 
 const __filename = fileURLToPath(import.meta.url);
 const __dirname = path.dirname(__filename);
+const MODEL_URL = path.join(__dirname, "../models");
 
-// Path to the downloaded models
-const MODELS_PATH = path.join(__dirname, "..", "models");
+// State flag to ensure we only load weights once
+let modelsLoaded = false;
 
-let isModelsLoaded = false;
+async function loadModelsOnce() {
+  if (modelsLoaded) return;
+  // Initialize pure JS CPU backend (no native bindings needed)
+  await tf.setBackend("cpu");
+  await tf.ready();
 
-async function loadModels() {
-  if (isModelsLoaded) return;
-  await faceapi.nets.tinyFaceDetector.loadFromDisk(MODELS_PATH);
-  isModelsLoaded = true;
+  // Load the microscopic TinyFaceDetector (~190KB)
+  await faceapi.nets.tinyFaceDetector.loadFromDisk(MODEL_URL);
+  modelsLoaded = true;
 }
 
 export interface ProcessImageOptions {
@@ -29,23 +37,82 @@ export interface ProcessImageOptions {
   quality?: number;
 }
 
+/**
+ * Maps a URL based on the IMGPROXY_URL_MAPPING environment variable.
+ * Format: "match1:replace1,match2:replace2"
+ */
+export function mapUrl(url: string, mappingString?: string): string {
+  if (!mappingString) return url;
+
+  const mappings = mappingString.split(",").map((m) => {
+    if (m.includes("|")) {
+      return m.split("|");
+    }
+
+    // Legacy support for simple "host:target" or cases where one side might have a protocol
+    // We try to find the split point that isn't part of a protocol "://"
+    const colonIndices = [];
+    for (let i = 0; i < m.length; i++) {
+      if (m[i] === ":") {
+        // Check if this colon is part of "://"
+        if (!(m[i + 1] === "/" && m[i + 2] === "/")) {
+          colonIndices.push(i);
+        }
+      }
+    }
+
+    if (colonIndices.length === 0) return [m];
+
+    // In legacy mode with colons, we take the LAST non-protocol colon as the separator
+    // This handles "http://host:port" or "host:http://target" better
+    const lastColon = colonIndices[colonIndices.length - 1];
+    return [m.substring(0, lastColon), m.substring(lastColon + 1)];
+  });
+
+  let mappedUrl = url;
+
+  for (const [match, replace] of mappings) {
+    if (match && replace && url.includes(match)) {
+      mappedUrl = url.replace(match, replace);
+    }
+  }
+
+  return mappedUrl;
+}
+
+/**
+ * Parses legacy imgproxy options string.
+ * Example: rs:fill:300:400/q:80
+ */
+export function parseImgproxyOptions(
+  optionsStr: string,
+): Partial<ProcessImageOptions> {
+  const parts = optionsStr.split("/");
+  const options: Partial<ProcessImageOptions> = {};
+
+  for (const part of parts) {
+    if (part.startsWith("rs:")) {
+      const [, , w, h] = part.split(":");
+      if (w) options.width = parseInt(w, 10);
+      if (h) options.height = parseInt(h, 10);
+    } else if (part.startsWith("q:")) {
+      const q = part.split(":")[1];
+      if (q) options.quality = parseInt(q, 10);
+    } else if (part.startsWith("ext:")) {
+      const ext = part.split(":")[1] as any;
+      if (["webp", "jpeg", "png", "avif"].includes(ext)) {
+        options.format = ext;
+      }
+    }
+  }
+
+  return options;
+}
+
 export async function processImageWithSmartCrop(
   inputBuffer: Buffer,
   options: ProcessImageOptions,
 ): Promise<Buffer> {
-  await loadModels();
-
-  // Load image via Canvas for face-api
-  const img = new Image();
-  img.src = inputBuffer;
-
-  // Detect faces
-  const detections = await faceapi.detectAllFaces(
-    // @ts-expect-error FaceAPI does not have type definitions for monkeyPatch
-    img,
-    new faceapi.TinyFaceDetectorOptions(),
-  );
-
   const sharpImage = sharp(inputBuffer);
   const metadata = await sharpImage.metadata();
 
@@ -53,35 +120,45 @@ export async function processImageWithSmartCrop(
     throw new Error("Could not read image metadata");
   }
 
-  // If faces are found, calculate the bounding box containing all faces
+  // Load ML models (noop if already loaded)
+  await loadModelsOnce();
+
+  // Convert sharp image to a Node-compatible canvas Image for face-api
+  const jpegBuffer = await sharpImage.jpeg().toBuffer();
+  const img = new Image();
+  img.src = jpegBuffer;
+  const canvas = new Canvas(img.width, img.height);
+  const ctx = canvas.getContext("2d");
+  ctx.drawImage(img, 0, 0, img.width, img.height);
+
+  // Detect faces locally using the tiny model
+  // Requires explicit any cast since the types expect HTML elements in browser contexts
+  const detections = await faceapi.detectAllFaces(
+    canvas as any,
+    new faceapi.TinyFaceDetectorOptions(),
+  );
+
+  let cropPosition: "center" | "attention" | number = "attention"; // Fallback to sharp's attention if no faces
+
   if (detections.length > 0) {
+    // We have faces! Calculate the bounding box that contains all of them
     let minX = metadata.width;
     let minY = metadata.height;
     let maxX = 0;
     let maxY = 0;
 
     for (const det of detections) {
-      const { x, y, width, height } = det.box;
-      if (x < minX) minX = Math.max(0, x);
-      if (y < minY) minY = Math.max(0, y);
-      if (x + width > maxX) maxX = Math.min(metadata.width, x + width);
-      if (y + height > maxY) maxY = Math.min(metadata.height, y + height);
+      const box = det.box;
+      if (box.x < minX) minX = Math.max(0, box.x);
+      if (box.y < minY) minY = Math.max(0, box.y);
+      if (box.x + box.width > maxX)
+        maxX = Math.min(metadata.width, box.x + box.width);
+      if (box.y + box.height > maxY)
+        maxY = Math.min(metadata.height, box.y + box.height);
     }
 
-    const faceBoxWidth = maxX - minX;
-    const faceBoxHeight = maxY - minY;
-
-    // Calculate center of the faces
-    const centerX = Math.floor(minX + faceBoxWidth / 2);
-    const centerY = Math.floor(minY + faceBoxHeight / 2);
-
-    // Provide this as a focus point for sharp's extract or resize
-    // We can use sharp's resize with `position` focusing on crop options,
-    // or calculate an exact bounding box. However, extracting an exact bounding box
-    // and then resizing usually yields the best results when focusing on a specific coordinate.
-
-    // A simpler approach is to crop a rectangle with the target aspect ratio
-    // centered on the faces, then resize. Let's calculate the crop box.
+    const centerX = Math.floor(minX + (maxX - minX) / 2);
+    const centerY = Math.floor(minY + (maxY - minY) / 2);
 
     const targetRatio = options.width / options.height;
     const currentRatio = metadata.width / metadata.height;
@@ -89,38 +166,39 @@ export async function processImageWithSmartCrop(
     let cropWidth = metadata.width;
     let cropHeight = metadata.height;
 
+    // Determine the maximal crop window that maintains aspect ratio
     if (currentRatio > targetRatio) {
-      // Image is wider than target, calculate new width
       cropWidth = Math.floor(metadata.height * targetRatio);
     } else {
-      // Image is taller than target, calculate new height
       cropHeight = Math.floor(metadata.width / targetRatio);
     }
 
-    // Try to center the crop box around the faces
+    // Center the crop window over the center of the faces
     let cropX = Math.floor(centerX - cropWidth / 2);
     let cropY = Math.floor(centerY - cropHeight / 2);
 
-    // Keep crop box within image bounds
+    // Keep crop window inside image bounds
     if (cropX < 0) cropX = 0;
     if (cropY < 0) cropY = 0;
     if (cropX + cropWidth > metadata.width) cropX = metadata.width - cropWidth;
     if (cropY + cropHeight > metadata.height)
       cropY = metadata.height - cropHeight;
 
+    // Pre-crop the image to isolate the faces before resizing
     sharpImage.extract({
       left: cropX,
       top: cropY,
       width: cropWidth,
       height: cropHeight,
     });
+
+    // As we manually calculated the exact focal box, we can now just center it
+    cropPosition = "center";
   }
 
-  // Finally, resize to the requested dimensions and format
   let finalImage = sharpImage.resize(options.width, options.height, {
-    // If faces weren't found, default to entropy/attention based cropping as fallback
     fit: "cover",
-    position: detections.length > 0 ? "center" : "attention",
+    position: cropPosition,
   });
 
   const format = options.format || "webp";

packages/image-processor/tsup.config.ts

@@ -0,0 +1,19 @@
+import { defineConfig } from "tsup";
+
+export default defineConfig({
+    entry: ["src/index.ts"],
+    format: ["esm"],
+    dts: true,
+    clean: true,
+    // Bundle face-api and tensorflow inline (they're pure JS).
+    // Keep sharp and canvas external (they have native C++ bindings).
+    noExternal: [
+        "@vladmandic/face-api",
+        "@tensorflow/tfjs",
+        "@tensorflow/tfjs-backend-wasm"
+    ],
+    external: [
+        "sharp",
+        "canvas"
+    ],
+});

packages/infra/docker/Dockerfile.gatekeeper

@@ -1,6 +1,6 @@
 # Step 1: Builder stage
 FROM node:20-alpine AS builder
-RUN apk add --no-cache libc6-compat curl
+RUN apk add --no-cache libc6-compat curl python3 make g++ pkgconfig pixman-dev cairo-dev pango-dev
 WORKDIR /app
 RUN corepack enable pnpm
 ENV CI=true
@@ -25,7 +25,7 @@ RUN --mount=type=cache,id=pnpm,target=/pnpm/store \
     --mount=type=secret,id=NPM_TOKEN \
     export NPM_TOKEN=$(cat /run/secrets/NPM_TOKEN) && \
     pnpm config set store-dir /pnpm/store && \
-    pnpm i --frozen-lockfile
+    pnpm i --no-frozen-lockfile
 
 # Copy the rest of the source
 COPY . .

packages/infra/gitea/deploy-action.yml

@@ -189,7 +189,7 @@ jobs:
         with:
           context: .
           file: packages/infra/docker/Dockerfile.nextjs
-          platforms: linux/arm64
+          platforms: linux/amd64
           pull: true
           provenance: false
           build-args: |

packages/infra/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/infra",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "publishConfig": {
     "access": "public",
     "registry": "https://npm.infra.mintel.me"

packages/journaling/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/journaling",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "private": true,
   "type": "module",
   "main": "./dist/index.js",

packages/journaling/src/agent.ts

@@ -1,7 +1,7 @@
 import OpenAI from "openai";
 import { DataCommonsClient } from "./clients/data-commons";
 import { TrendsClient } from "./clients/trends";
-import { SerperClient, type SerperVideoResult } from "./clients/serper";
+import { SerperClient } from "./clients/serper";
 
 export interface Fact {
   statement: string;
@@ -54,7 +54,6 @@ export class ResearchAgent {
         if (data.length > 0) {
           // Analyze trend
           const latest = data[data.length - 1];
-          const max = Math.max(...data.map((d) => d.value));
           facts.push({
             statement: `Interest in "${kw}" is currently at ${latest.value}% of peak popularity.`,
             source: "Google Trends",
@@ -177,6 +176,7 @@ Return JSON: { "facts": [ { "statement": "...", "source": "Organization Name Onl
    */
   async fetchRealSocialPosts(
     topic: string,
+    customSources?: string[],
     retries = 1,
   ): Promise<SocialPost[]> {
     console.log(
@@ -221,7 +221,7 @@ Return a JSON object with a single string field "query". Example: {"query": "cor
 
       if (!videos || videos.length === 0) {
         console.warn(`⚠️ [Serper] No videos found for query: "${queryStr}"`);
-        if (retries > 0) return this.fetchRealSocialPosts(topic, retries - 1);
+        if (retries > 0) return this.fetchRealSocialPosts(topic, customSources, retries - 1);
         return [];
       }
 
@@ -238,19 +238,24 @@ Return a JSON object with a single string field "query". Example: {"query": "cor
 
       if (ytVideos.length === 0) {
         console.warn(`⚠️ [Serper] No YouTube videos in search results.`);
-        if (retries > 0) return this.fetchRealSocialPosts(topic, retries - 1);
+        if (retries > 0) return this.fetchRealSocialPosts(topic, customSources, retries - 1);
         return [];
       }
 
       // Step 3: Ask the LLM to evaluate the relevance of the found videos
+
+      const sourceExamples = customSources && customSources.length > 0
+        ? `Specifically prioritize content from: ${customSources.join(", ")}.`
+        : `(e.g., Google Developers, Vercel, Theo - t3.gg, Fireship, Syntax, ByteByteGo, IBM Technology, McKinsey, Gartner, Deloitte).`;
+
       const evalPrompt = `You are a strict technical evaluator. You must select the MOST RELEVANT educational tech video from the list below based on this core article context: "${topic.slice(0, 800)}..."
 
 Videos:
-${ytVideos.map((v, i) => `[ID: ${i}] Title: "${v.title}" | Channel: "${v.channel}" | Snippet: "${v.snippet || 'none'}"`).join("\n")}
+${ytVideos.map((v, i) => `[ID: ${i}] Title: "${v.title}" | Channel: "${v.channel}" | Snippet: "${v.snippet || "none"}"`).join("\n")}
 
 RULES:
 1. The video MUST be highly relevant to the EXACT technical topic of the context.
-2. The channel SHOULD be a high-quality tech, development, or professional B2B channel (e.g., Google Developers, Vercel, Theo - t3.gg, Fireship, Syntax, ByteByteGo, IBM Technology, McKinsey, Gartner, Deloitte). AVOID gaming, generic vlogs, clickbait, off-topic podcasts, or unrelated topics.
+2. The channel SHOULD be a high-quality tech, development, or professional B2B channel ${sourceExamples} AVOID gaming, generic vlogs, clickbait, off-topic podcasts, or unrelated topics.
 3. If none of the videos are strictly relevant to the core technical or business subject (e.g. they are just casually mentioning the word), YOU MUST RETURN -1. Be extremely critical. Do not just pick the "best of the worst".
 4. If one is highly relevant, return its ID number.
 
@@ -268,13 +273,13 @@ Return ONLY a JSON object: {"bestVideoId": number}`;
           evalResponse.choices[0].message.content || '{"bestVideoId": -1}',
         );
         bestIdx = evalParsed.bestVideoId;
-      } catch (e) {
+      } catch {
         console.warn("Failed to parse video evaluation response");
       }
 
       if (bestIdx < 0 || bestIdx >= ytVideos.length) {
         console.warn(`⚠️ [Serper] LLM rejected all videos as irrelevant.`);
-        if (retries > 0) return this.fetchRealSocialPosts(topic, retries - 1);
+        if (retries > 0) return this.fetchRealSocialPosts(topic, customSources, retries - 1);
         return [];
       }
 

packages/mail/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/mail",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "private": false,
   "publishConfig": {
     "access": "public",

packages/meme-generator/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@mintel/meme-generator",
-  "version": "1.8.11",
-  "private": true,
+  "version": "1.8.21",
+  "private": false,
   "type": "module",
   "main": "./dist/index.js",
   "module": "./dist/index.js",

packages/meme-generator/src/index.ts

@@ -123,7 +123,7 @@ IMPORTANT: Return ONLY the JSON object. No markdown wrappers.`,
     let result;
     try {
       result = JSON.parse(body);
-    } catch (e) {
+    } catch {
       console.error("Failed to parse AI response", body);
       return [];
     }

packages/next-config/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/next-config",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "publishConfig": {
     "access": "public",
     "registry": "https://npm.infra.mintel.me"

packages/next-feedback/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/next-feedback",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "publishConfig": {
     "access": "public",
     "registry": "https://npm.infra.mintel.me"

packages/next-observability/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/next-observability",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "publishConfig": {
     "access": "public",
     "registry": "https://npm.infra.mintel.me"

packages/next-utils/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/next-utils",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "publishConfig": {
     "access": "public",
     "registry": "https://npm.infra.mintel.me"

packages/observability/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/observability",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "publishConfig": {
     "access": "public",
     "registry": "https://npm.infra.mintel.me"

packages/page-audit/package.json

@@ -0,0 +1,39 @@
+{
+  "name": "@mintel/page-audit",
+  "version": "1.8.21",
+  "private": true,
+  "description": "AI-powered website IST-analysis using DataForSEO and Gemini",
+  "type": "module",
+  "main": "./dist/index.js",
+  "module": "./dist/index.js",
+  "types": "./dist/index.d.ts",
+  "bin": {
+    "page-audit": "./dist/cli.js"
+  },
+  "exports": {
+    ".": {
+      "types": "./dist/index.d.ts",
+      "import": "./dist/index.js"
+    }
+  },
+  "scripts": {
+    "build": "tsup src/index.ts src/cli.ts --format esm --dts --clean",
+    "dev": "tsup src/index.ts src/cli.ts --format esm --watch --dts",
+    "audit": "tsx src/cli.ts"
+  },
+  "dependencies": {
+    "chalk": "^5.3.0",
+    "cheerio": "^1.0.0",
+    "commander": "^12.0.0",
+    "dotenv": "^17.3.1",
+    "openai": "^4.82.0"
+  },
+  "devDependencies": {
+    "@mintel/eslint-config": "workspace:*",
+    "@mintel/tsconfig": "workspace:*",
+    "@types/node": "^20.0.0",
+    "tsup": "^8.3.5",
+    "tsx": "^4.7.0",
+    "typescript": "^5.0.0"
+  }
+}

packages/pdf-library/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/pdf",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "type": "module",
   "main": "dist/index.js",
   "module": "dist/index.js",

packages/pdf-library/src/components/AgbsPDF.tsx

@@ -13,6 +13,8 @@ import {
   Footer,
   FoldingMarks,
   DocumentTitle,
+  COLORS,
+  FONT_SIZES,
 } from "./pdf/SharedUI.js";
 import { SimpleLayout } from "./pdf/SimpleLayout.js";
 
@@ -29,23 +31,23 @@ const localStyles = PDFStyleSheet.create({
     marginBottom: 6,
   },
   monoNumber: {
-    fontSize: 7,
+    fontSize: FONT_SIZES.TINY,
     fontWeight: "bold",
-    color: "#94a3b8",
+    color: COLORS.TEXT_LIGHT,
     letterSpacing: 2,
     width: 25,
   },
   sectionTitle: {
-    fontSize: 9,
+    fontSize: FONT_SIZES.LABEL,
     fontWeight: "bold",
-    color: "#000000",
+    color: COLORS.CHARCOAL,
     textTransform: "uppercase",
     letterSpacing: 0.5,
   },
   officialText: {
-    fontSize: 8,
+    fontSize: FONT_SIZES.BODY,
     lineHeight: 1.5,
-    color: "#334155",
+    color: COLORS.TEXT_MAIN,
     textAlign: "justify",
     paddingLeft: 25,
   },
@@ -100,7 +102,7 @@ export const AgbsPDF = ({
   };
 
   const content = (
-    <>
+    <PDFView>
       <DocumentTitle
         title="Allgemeine Geschäftsbedingungen"
         subLines={[`Stand: ${date}`]}
@@ -142,7 +144,7 @@ export const AgbsPDF = ({
 
         <AGBSection index="05" title="Abnahme">
           Die Leistung gilt als abgenommen, wenn der Auftraggeber sie produktiv
-          nutzt oder innerhalb von 7 Tagen nach Bereitstellung keine
+          nutzt oder innerhalb von 30 Tagen nach Bereitstellung keine
           wesentlichen Mängel angezeigt werden. Optische Abweichungen,
           Geschmacksfragen oder subjektive Einschätzungen stellen keine Mängel
           dar.
@@ -206,7 +208,7 @@ export const AgbsPDF = ({
           bleibt die Wirksamkeit der übrigen Regelungen unberührt.
         </AGBSection>
       </PDFView>
-    </>
+    </PDFView>
   );
 
   if (mode === "full") {
@@ -214,9 +216,8 @@ export const AgbsPDF = ({
       <SimpleLayout
         companyData={companyData}
         bankData={bankData}
+        headerIcon={headerIcon}
         footerLogo={footerLogo}
-        icon={headerIcon}
-        pageNumber="10"
         showPageNumber={false}
       >
         {content}
@@ -232,7 +233,7 @@ export const AgbsPDF = ({
       <Footer
         logo={footerLogo}
         companyData={companyData}
-        bankData={bankData}
+        _bankData={bankData}
         showDetails={false}
         showPageNumber={false}
       />

packages/pdf-library/src/components/CombinedQuotePDF.tsx

@@ -46,7 +46,7 @@ export const CombinedQuotePDF = ({
 
   const layoutProps = {
     date,
-    icon: estimationProps.headerIcon,
+    headerIcon: estimationProps.headerIcon,
     footerLogo: estimationProps.footerLogo,
     companyData,
     bankData,
@@ -71,7 +71,7 @@ export const CombinedQuotePDF = ({
           footerLogo={estimationProps.footerLogo}
         />
       )}
-      <SimpleLayout {...layoutProps} pageNumber="END" showPageNumber={false}>
+      <SimpleLayout {...layoutProps} showPageNumber={false}>
         <ClosingModule />
       </SimpleLayout>
     </PDFDocument>

packages/pdf-library/src/components/EstimationPDF.tsx

@@ -50,7 +50,7 @@ export const EstimationPDF = ({
     const commonProps = {
         state,
         date,
-        icon: headerIcon,
+        headerIcon,
         footerLogo,
         companyData,
     };
@@ -64,17 +64,17 @@ export const EstimationPDF = ({
                 <FrontPageModule state={state} headerIcon={headerIcon} date={date} />
             </PDFPage>
 
-            <SimpleLayout {...commonProps} pageNumber={getPageNum()}>
+            <SimpleLayout {...commonProps}>
                 <BriefingModule state={state} />
             </SimpleLayout>
 
             {state.sitemap && state.sitemap.length > 0 && (
-                <SimpleLayout {...commonProps} pageNumber={getPageNum()}>
+                <SimpleLayout {...commonProps}>
                     <SitemapModule state={state} />
                 </SimpleLayout>
             )}
 
-            <SimpleLayout {...commonProps} pageNumber={getPageNum()}>
+            <SimpleLayout {...commonProps}>
                 <EstimationModule
                     state={state}
                     positions={positions}
@@ -83,11 +83,11 @@ export const EstimationPDF = ({
                 />
             </SimpleLayout>
 
-            <SimpleLayout {...commonProps} pageNumber={getPageNum()}>
+            <SimpleLayout {...commonProps}>
                 <TransparenzModule pricing={pricing} />
             </SimpleLayout>
 
-            <SimpleLayout {...commonProps} pageNumber={getPageNum()}>
+            <SimpleLayout {...commonProps}>
                 <ClosingModule />
             </SimpleLayout>
         </PDFDocument>

packages/pdf-library/src/components/pdf/SimpleLayout.tsx

@@ -8,58 +8,48 @@ const simpleStyles = StyleSheet.create({
     industrialPage: {
         padding: 30,
         paddingTop: 20,
-        backgroundColor: '#ffffff',
+        flexDirection: 'column',
+        backgroundColor: '#FFFFFF',
+        fontFamily: 'Outfit',
     },
-    industrialNumber: {
-        fontSize: 60,
-        fontWeight: 'bold',
-        color: '#f1f5f9',
-        position: 'absolute',
-        top: -10,
-        right: 0,
-        zIndex: -1,
-    },
-    industrialSection: {
-        marginTop: 16,
-        paddingTop: 12,
-        flexDirection: 'row',
-        position: 'relative',
+    contentView: {
+        flex: 1,
+        marginTop: 20,
     },
 });
 
 interface SimpleLayoutProps {
-    children: React.ReactNode;
-    pageNumber?: string;
-    icon?: string;
+    headerIcon?: string;
     footerLogo?: string;
     companyData: any;
     bankData?: any;
+    showDetails?: boolean;
     showPageNumber?: boolean;
+    children: React.ReactNode;
 }
 
-export const SimpleLayout = ({
-    children,
-    pageNumber,
-    icon,
+export const SimpleLayout: React.FC<SimpleLayoutProps> = ({
+    headerIcon,
     footerLogo,
     companyData,
     bankData,
-    showPageNumber = true
-}: SimpleLayoutProps) => {
+    showDetails = false,
+    showPageNumber = true,
+    children,
+}) => {
     return (
-        <PDFPage size="A4" style={[pdfStyles.page, simpleStyles.industrialPage]}>
-            <Header icon={icon} showAddress={false} />
-            {pageNumber && <PDFText style={simpleStyles.industrialNumber}>{pageNumber}</PDFText>}
-            <PDFView style={simpleStyles.industrialSection}>
-                <PDFView style={{ width: '100%' }}>
-                    {children}
-                </PDFView>
+        <PDFPage size="A4" style={simpleStyles.industrialPage}>
+            <Header icon={headerIcon} sender={companyData.name} showAddress={false} />
+
+            <PDFView style={simpleStyles.contentView}>
+                {children}
             </PDFView>
+
             <Footer
                 logo={footerLogo}
                 companyData={companyData}
-                bankData={bankData}
-                showDetails={false}
+                _bankData={bankData}
+                showDetails={showDetails}
                 showPageNumber={showPageNumber}
             />
         </PDFPage>

packages/pdf-library/src/generate-agbs.ts

@@ -0,0 +1,53 @@
+import { renderToFile, Document as PDFDocument, Font } from "@react-pdf/renderer";
+import { createElement } from "react";
+import { AgbsPDF } from "./components/AgbsPDF.js";
+import path from "path";
+import fs from "fs";
+import { fileURLToPath } from "url";
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+// Standard Font Registration
+Font.register({
+    family: 'Outfit',
+    fonts: [
+        { src: 'Helvetica' },
+        { src: 'Helvetica-Bold', fontWeight: 'bold' },
+    ],
+});
+
+Font.register({
+    family: 'Helvetica',
+    fonts: [
+        { src: 'Helvetica' },
+        { src: 'Helvetica-Bold', fontWeight: 'bold' },
+    ],
+});
+
+async function generate() {
+    const outDir = path.join(__dirname, "../../../out");
+    if (!fs.existsSync(outDir)) {
+        fs.mkdirSync(outDir, { recursive: true });
+    }
+
+    const outputPath = path.resolve(outDir, "AGB_Mintel.pdf");
+
+    console.log("Generating High-Fidelity AGB PDF...");
+
+    const headerIcon = "/Users/marcmintel/Projects/mintel.me/apps/web/src/assets/logo/Icon-White-Transparent.png";
+    const footerLogo = "/Users/marcmintel/Projects/mintel.me/apps/web/src/assets/logo/Logo-Black-Transparent.png";
+
+    // WRAP IN DOCUMENT - MANDATORY FOR standalone rendering
+    const document = createElement(PDFDocument, {
+        title: "Allgemeine Geschäftsbedingungen - Marc Mintel",
+        author: "Marc Mintel",
+    },
+        createElement(AgbsPDF, { mode: "full", headerIcon, footerLogo })
+    );
+
+    await renderToFile(document, outputPath);
+    console.log(`Generated: ${outputPath}`);
+}
+
+generate().catch(console.error);

packages/people-manager/package.json

@@ -2,7 +2,7 @@
   "name": "people-manager",
   "description": "Custom High-Fidelity Management for Directus",
   "icon": "extension",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "type": "module",
   "keywords": [
     "directus",

packages/thumbnail-generator/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@mintel/thumbnail-generator",
-  "version": "1.8.11",
-  "private": true,
+  "version": "1.8.21",
+  "private": false,
   "type": "module",
   "main": "./dist/index.js",
   "module": "./dist/index.js",

packages/thumbnail-generator/src/generator.ts

@@ -56,8 +56,8 @@ export class ThumbnailGenerator {
       }
     }
 
-    // Default to the requested nano-banana-pro model unless explicitly provided
-    const model = options?.model || "google/nano-banana-pro";
+    // Default to the requested flux-1.1-pro model unless explicitly provided
+    const model = options?.model || "black-forest-labs/flux-1.1-pro";
 
     const output = await this.replicate.run(model as `${string}/${string}`, {
       input: inputPayload,

packages/tsconfig/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@mintel/tsconfig",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "publishConfig": {
     "access": "public",
     "registry": "https://npm.infra.mintel.me"

packages/unified-dashboard/package.json

@@ -2,7 +2,7 @@
   "name": "unified-dashboard",
   "description": "Custom High-Fidelity Management for Directus",
   "icon": "extension",
-  "version": "1.8.11",
+  "version": "1.8.21",
   "type": "module",
   "keywords": [
     "directus",

plan_free.hbs

@@ -0,0 +1,14 @@
+<div class="membership-card free">
+    <div class="membership-card-content">
+        <h2 class="membership-card-title">{{t "Free"}}</h2>
+        <h3 class="membership-card-price"><sup>$</sup>0</h3>
+        <div class="membership-card-options">
+            <ul>
+                <li>Full access to posts for subscribers</li>
+                <li>Weekly email newsletter</li>
+                <li>No advertising</li>
+            </ul>
+        </div>
+    </div>
+    <a href="{{@site.url}}/signup/" class="global-button">{{t "Subscribe now"}}</a>
+</div>

plan_monthly.hbs

@@ -0,0 +1,16 @@
+<div class="membership-card monthly">
+        <div class="membership-card-content">
+                <h2 class="membership-card-title">{{t "Monthly"}}</h2>
+                <h3 class="membership-card-price">{{price monthly_price currency=currency}}</h3>
+                <div class="membership-card-options">
+                        <ul>
+                                <li>Full access to all premium posts</li>
+                                <li>Weekly email newsletter</li>
+                                <li>Support independent publishing</li>
+                                <li>Simple, secure card payment</li>
+                                <li>No advertising</li>
+                        </ul>
+                </div>
+        </div>
+        <a href="#" class="global-button" data-members-plan="Monthly">{{t "Subscribe now"}}</a>
+</div>

plan_yearly.hbs

@@ -0,0 +1,17 @@
+<div class="membership-card yearly">
+    <div class="membership-card-content">
+        <h2 class="membership-card-title">{{t "Yearly"}}</h2>
+        <h3 class="membership-card-price">{{price yearly_price currency=currency}}</h3>
+        <div class="membership-card-options">
+            <ul>
+                <li>Full access to all premium posts</li>
+                <li>Weekly email newsletter</li>
+                <li>Support independent publishing</li>
+                <li>Simple, secure card payment</li>
+                <li>One easy payment instead of 12!</li>
+                <li>No advertising</li>
+            </ul>
+        </div>
+    </div>
+    <a href="#" class="global-button" data-members-plan="Yearly">{{t "Subscribe now"}}</a>
+</div>

scripts/sync-versions.ts

@@ -116,7 +116,6 @@ if (fs.existsSync(appsDir)) {
 }
 
 // Update .env files
-updateEnv(".env");
 updateEnv(".env.example");
 
 console.log("✨ All versions synced!");