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| 23358fc708 |
@@ -1,12 +1,28 @@
|
||||
node_modules
|
||||
**/node_modules
|
||||
.next
|
||||
**/.next
|
||||
.git
|
||||
# .npmrc is allowed as it contains the registry template
|
||||
dist
|
||||
**/dist
|
||||
build
|
||||
**/build
|
||||
out
|
||||
**/out
|
||||
coverage
|
||||
**/coverage
|
||||
.vercel
|
||||
**/.vercel
|
||||
.turbo
|
||||
**/.turbo
|
||||
*.log
|
||||
**/*.log
|
||||
.DS_Store
|
||||
**/.DS_Store
|
||||
.pnpm-store
|
||||
**/.pnpm-store
|
||||
.gitea
|
||||
**/.gitea
|
||||
models
|
||||
**/models
|
||||
|
||||
7
.env
7
.env
@@ -1,8 +1,9 @@
|
||||
# Project
|
||||
IMAGE_TAG=v1.8.2
|
||||
IMAGE_TAG=v1.8.12
|
||||
PROJECT_NAME=at-mintel
|
||||
PROJECT_COLOR=#82ed20
|
||||
GITEA_TOKEN=ccce002e30fe16a31a6c9d5a414740af2f72a582
|
||||
OPENROUTER_API_KEY=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
|
||||
|
||||
# Authentication
|
||||
GATEKEEPER_PASSWORD=mintel
|
||||
@@ -10,13 +11,13 @@ AUTH_COOKIE_NAME=mintel_gatekeeper_session
|
||||
|
||||
# Host Config (Local)
|
||||
TRAEFIK_HOST=at-mintel.localhost
|
||||
DIRECTUS_HOST=cms.localhost
|
||||
DIRECTUS_HOST=cms-legacy.localhost
|
||||
|
||||
# Next.js
|
||||
NEXT_PUBLIC_BASE_URL=http://at-mintel.localhost
|
||||
|
||||
# Directus
|
||||
DIRECTUS_URL=http://cms.localhost
|
||||
DIRECTUS_URL=http://cms-legacy.localhost
|
||||
DIRECTUS_KEY=F9IIfahEjPq6NZhKyRLw516D8GotuFj79EGK7pGfIWg=
|
||||
DIRECTUS_SECRET=OZfxMu8lBxzaEnFGRKreNBoJpRiRu58U+HsVg2yWk4o=
|
||||
CORS_ENABLED=true
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
# Project
|
||||
IMAGE_TAG=v1.8.2
|
||||
IMAGE_TAG=v1.8.16
|
||||
PROJECT_NAME=sample-website
|
||||
PROJECT_COLOR=#82ed20
|
||||
|
||||
|
||||
@@ -24,8 +24,8 @@ jobs:
|
||||
|
||||
# Run the prune script on the host
|
||||
# We transfer the script and execute it to ensure it matches the repo version
|
||||
scp packages/infra/scripts/prune-registry.sh root@${{ secrets.SSH_HOST }}:/tmp/prune-registry.sh
|
||||
ssh root@${{ secrets.SSH_HOST }} "bash /tmp/prune-registry.sh && rm /tmp/prune-registry.sh"
|
||||
scp packages/infra/scripts/mintel-optimizer.sh root@${{ secrets.SSH_HOST }}:/tmp/mintel-optimizer.sh
|
||||
ssh root@${{ secrets.SSH_HOST }} "bash /tmp/mintel-optimizer.sh && rm /tmp/mintel-optimizer.sh"
|
||||
|
||||
- name: 🔔 Notification - Success
|
||||
if: success()
|
||||
|
||||
@@ -5,7 +5,7 @@ on:
|
||||
branches:
|
||||
- '**'
|
||||
tags:
|
||||
- 'v*'
|
||||
- '*'
|
||||
|
||||
concurrency:
|
||||
group: ${{ github.workflow }}-${{ github.ref }}
|
||||
@@ -26,16 +26,17 @@ jobs:
|
||||
REF: ${{ github.ref }}
|
||||
REF_NAME: ${{ github.ref_name }}
|
||||
EVENT: ${{ github.event_name }}
|
||||
SHA: ${{ github.sha }}
|
||||
run: |
|
||||
echo "🔎 Debug: Event=$EVENT, Ref=$REF, RefName=$REF_NAME, RunId=$RUN_ID"
|
||||
|
||||
# Fetch recent runs for the repository
|
||||
RUNS=$(curl -s -H "Authorization: token $GITEA_TOKEN" "https://git.infra.mintel.me/api/v1/repos/$REPO/actions/runs?limit=30")
|
||||
|
||||
case "$REF" in
|
||||
refs/tags/v*)
|
||||
refs/tags/*)
|
||||
echo "🚀 Release detected ($REF_NAME). Cancelling non-tag runs..."
|
||||
|
||||
# Fetch all runs
|
||||
RUNS=$(curl -s -H "Authorization: token $GITEA_TOKEN" "https://git.infra.mintel.me/api/v1/repos/$REPO/actions/runs")
|
||||
|
||||
# Identify runs to cancel: in_progress/queued, NOT this run, and NOT a tag run
|
||||
echo "$RUNS" | jq -c '.workflow_runs[] | select(.status == "in_progress" or .status == "queued") | select(.id | tostring != "'$RUN_ID'")' | while read -r run; do
|
||||
ID=$(echo "$run" | jq -r '.id')
|
||||
@@ -43,7 +44,7 @@ jobs:
|
||||
TITLE=$(echo "$run" | jq -r '.display_title')
|
||||
|
||||
case "$RUN_REF" in
|
||||
refs/tags/v*)
|
||||
refs/tags/*)
|
||||
echo "⏭️ Skipping parallel release run $ID ($TITLE) on $RUN_REF"
|
||||
;;
|
||||
*)
|
||||
@@ -54,7 +55,17 @@ jobs:
|
||||
done
|
||||
;;
|
||||
*)
|
||||
echo "ℹ️ Regular push. No prioritization needed."
|
||||
echo "ℹ️ Regular push. Checking for parallel release tag for SHA $SHA..."
|
||||
|
||||
# Check if there's a tag run for the SAME commit
|
||||
TAG_RUN_ID=$(echo "$RUNS" | jq -r '.workflow_runs[] | select(.ref | startswith("refs/tags/")) | select(.head_sha == "'$SHA'") | .id' | head -n 1)
|
||||
|
||||
if [[ -n "$TAG_RUN_ID" && "$TAG_RUN_ID" != "null" ]]; then
|
||||
echo "🚀 Found parallel tag run $TAG_RUN_ID for commit $SHA. Cancelling this branch run ($RUN_ID)..."
|
||||
curl -X POST -s -H "Authorization: token $GITEA_TOKEN" "https://git.infra.mintel.me/api/v1/repos/$REPO/actions/runs/$RUN_ID/cancel"
|
||||
exit 0
|
||||
fi
|
||||
echo "✅ No parallel tag run found. Proceeding."
|
||||
;;
|
||||
esac
|
||||
|
||||
@@ -130,7 +141,7 @@ jobs:
|
||||
release:
|
||||
name: 🚀 Release
|
||||
needs: [lint, test, build]
|
||||
if: startsWith(github.ref, 'refs/tags/v')
|
||||
if: startsWith(github.ref, 'refs/tags/')
|
||||
runs-on: docker
|
||||
container:
|
||||
image: catthehacker/ubuntu:act-latest
|
||||
@@ -160,12 +171,13 @@ jobs:
|
||||
build-images:
|
||||
name: 🐳 Build ${{ matrix.name }}
|
||||
needs: [lint, test, build]
|
||||
if: startsWith(github.ref, 'refs/tags/v')
|
||||
if: startsWith(github.ref, 'refs/tags/')
|
||||
runs-on: docker
|
||||
container:
|
||||
image: catthehacker/ubuntu:act-latest
|
||||
strategy:
|
||||
fail-fast: false
|
||||
max-parallel: 1
|
||||
matrix:
|
||||
include:
|
||||
- image: nextjs
|
||||
@@ -180,6 +192,9 @@ jobs:
|
||||
- image: directus
|
||||
file: packages/infra/docker/Dockerfile.directus
|
||||
name: Directus (Base)
|
||||
- image: image-processor
|
||||
file: apps/image-service/Dockerfile
|
||||
name: Image Processor
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v4
|
||||
@@ -201,12 +216,11 @@ jobs:
|
||||
file: ${{ matrix.file }}
|
||||
platforms: linux/arm64
|
||||
pull: true
|
||||
provenance: false
|
||||
push: true
|
||||
secrets: |
|
||||
NPM_TOKEN=${{ secrets.NPM_TOKEN }}
|
||||
tags: |
|
||||
registry.infra.mintel.me/mintel/${{ matrix.image }}:${{ github.ref_name }}
|
||||
registry.infra.mintel.me/mintel/${{ matrix.image }}:latest
|
||||
cache-from: type=registry,ref=registry.infra.mintel.me/mintel/${{ matrix.image }}:buildcache
|
||||
cache-to: type=registry,ref=registry.infra.mintel.me/mintel/${{ matrix.image }}:buildcache,mode=max
|
||||
|
||||
|
||||
5
.gitignore
vendored
5
.gitignore
vendored
@@ -37,3 +37,8 @@ Thumbs.db
|
||||
|
||||
# Changesets
|
||||
.changeset/*.lock
|
||||
directus/extensions/
|
||||
packages/cms-infra/extensions/
|
||||
packages/cms-infra/uploads/
|
||||
|
||||
directus/uploads/directus-health-file
|
||||
@@ -1,7 +1,14 @@
|
||||
# Validate Directus SDK imports before push
|
||||
# This prevents runtime crashes caused by importing non-existent exports
|
||||
SCRIPT_DIR="$(cd "$(dirname "$0")/.." && pwd)"
|
||||
if [ -f "$SCRIPT_DIR/scripts/validate-sdk-imports.sh" ]; then
|
||||
"$SCRIPT_DIR/scripts/validate-sdk-imports.sh" || exit 1
|
||||
fi
|
||||
|
||||
# Check if we are pushing a tag
|
||||
while read local_ref local_sha remote_ref remote_sha
|
||||
do
|
||||
if [[ "$remote_ref" == refs/tags/v* ]]; then
|
||||
if [[ "$remote_ref" == refs/tags/* ]]; then
|
||||
TAG=${remote_ref#refs/tags/}
|
||||
echo "🏷️ Tag detected: $TAG, ensuring versions are synced..."
|
||||
|
||||
|
||||
@@ -80,3 +80,4 @@ Client websites scaffolded via the CLI use a **tag-based deployment** strategy:
|
||||
- **Git Tag `v*.*.*`**: Deploys to the `production` environment.
|
||||
|
||||
See the [`@mintel/infra`](packages/infra/README.md) package for detailed template documentation.
|
||||
|
||||
|
||||
27
apps/image-service/Dockerfile
Normal file
27
apps/image-service/Dockerfile
Normal file
@@ -0,0 +1,27 @@
|
||||
FROM node:20.18-bookworm-slim AS base
|
||||
ENV PNPM_HOME="/pnpm"
|
||||
ENV PATH="$PNPM_HOME:$PATH"
|
||||
RUN npm install -g pnpm@10.30.1
|
||||
|
||||
FROM base AS build
|
||||
WORKDIR /app
|
||||
COPY . .
|
||||
# We only need standard pnpm install now, no C++ tools needed for basic Sharp
|
||||
RUN pnpm install --frozen-lockfile
|
||||
RUN pnpm --filter @mintel/image-processor build
|
||||
RUN pnpm --filter image-service build
|
||||
|
||||
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
|
||||
RUN mkdir -p /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
|
||||
|
||||
EXPOSE 8080
|
||||
WORKDIR /app/apps/image-service
|
||||
CMD ["npm", "run", "start"]
|
||||
23
apps/image-service/package.json
Normal file
23
apps/image-service/package.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"name": "image-service",
|
||||
"version": "1.8.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"scripts": {
|
||||
"dev": "tsx watch src/index.ts",
|
||||
"build": "tsc",
|
||||
"start": "node dist/index.js",
|
||||
"lint": "eslint src"
|
||||
},
|
||||
"dependencies": {
|
||||
"@mintel/image-processor": "workspace:*",
|
||||
"fastify": "^4.26.2"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@mintel/eslint-config": "workspace:*",
|
||||
"@mintel/tsconfig": "workspace:*",
|
||||
"@types/node": "^20.0.0",
|
||||
"tsx": "^4.7.1",
|
||||
"typescript": "^5.0.0"
|
||||
}
|
||||
}
|
||||
79
apps/image-service/src/index.ts
Normal file
79
apps/image-service/src/index.ts
Normal file
@@ -0,0 +1,79 @@
|
||||
import Fastify from "fastify";
|
||||
import { processImageWithSmartCrop } 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 { 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' });
|
||||
}
|
||||
|
||||
try {
|
||||
const response = await fetch(url);
|
||||
if (!response.ok) {
|
||||
return reply.status(response.status).send({
|
||||
error: `Failed to fetch source image: ${response.statusText}`,
|
||||
});
|
||||
}
|
||||
|
||||
const arrayBuffer = await response.arrayBuffer();
|
||||
const buffer = Buffer.from(arrayBuffer);
|
||||
|
||||
const processedBuffer = await processImageWithSmartCrop(buffer, {
|
||||
width,
|
||||
height,
|
||||
format,
|
||||
quality,
|
||||
openRouterApiKey: process.env.OPENROUTER_API_KEY,
|
||||
});
|
||||
|
||||
reply.header("Content-Type", `image/${format}`);
|
||||
reply.header("Cache-Control", "public, max-age=31536000, immutable");
|
||||
return reply.send(processedBuffer);
|
||||
} catch (err) {
|
||||
fastify.log.error(err);
|
||||
return reply
|
||||
.status(500)
|
||||
.send({ error: "Internal Server Error processing image" });
|
||||
}
|
||||
});
|
||||
|
||||
fastify.get("/health", async () => {
|
||||
return { status: "ok" };
|
||||
});
|
||||
|
||||
const start = async () => {
|
||||
try {
|
||||
await fastify.listen({ port: 8080, host: "0.0.0.0" });
|
||||
console.log(`Server listening on 8080`);
|
||||
} catch (err) {
|
||||
fastify.log.error(err);
|
||||
process.exit(1);
|
||||
}
|
||||
};
|
||||
|
||||
start();
|
||||
11
apps/image-service/tsconfig.json
Normal file
11
apps/image-service/tsconfig.json
Normal file
@@ -0,0 +1,11 @@
|
||||
{
|
||||
"extends": "@mintel/tsconfig/base.json",
|
||||
"compilerOptions": {
|
||||
"outDir": "dist",
|
||||
"rootDir": "src",
|
||||
"module": "NodeNext",
|
||||
"moduleResolution": "NodeNext",
|
||||
"noEmit": false
|
||||
},
|
||||
"include": ["src/**/*"]
|
||||
}
|
||||
@@ -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);
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "sample-website",
|
||||
"version": "1.8.2",
|
||||
"version": "1.8.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"scripts": {
|
||||
@@ -18,6 +18,7 @@
|
||||
"@mintel/next-utils": "workspace:*",
|
||||
"@mintel/observability": "workspace:*",
|
||||
"@mintel/next-observability": "workspace:*",
|
||||
"@mintel/image-processor": "workspace:*",
|
||||
"@sentry/nextjs": "10.38.0",
|
||||
"next": "16.1.6",
|
||||
"next-intl": "^4.8.2",
|
||||
|
||||
60
apps/sample-website/src/app/api/image/route.ts
Normal file
60
apps/sample-website/src/app/api/image/route.ts
Normal file
@@ -0,0 +1,60 @@
|
||||
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");
|
||||
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 },
|
||||
);
|
||||
}
|
||||
|
||||
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);
|
||||
|
||||
// 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,
|
||||
});
|
||||
|
||||
// 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 },
|
||||
);
|
||||
}
|
||||
}
|
||||
@@ -1,19 +0,0 @@
|
||||
version: 1
|
||||
directus: 11.15.1
|
||||
vendor: postgres
|
||||
collections: []
|
||||
fields: []
|
||||
systemFields:
|
||||
- collection: directus_activity
|
||||
field: timestamp
|
||||
schema:
|
||||
is_indexed: true
|
||||
- collection: directus_revisions
|
||||
field: activity
|
||||
schema:
|
||||
is_indexed: true
|
||||
- collection: directus_revisions
|
||||
field: parent
|
||||
schema:
|
||||
is_indexed: true
|
||||
relations: []
|
||||
@@ -1 +0,0 @@
|
||||
S9WsV
|
||||
@@ -21,6 +21,8 @@ services:
|
||||
- "traefik.enable=true"
|
||||
- "traefik.http.routers.sample-website.rule=Host(`${TRAEFIK_HOST:-sample-website.localhost}`)"
|
||||
- "traefik.http.services.sample-website.loadbalancer.server.port=3000"
|
||||
- "caddy=http://${TRAEFIK_HOST:-acquisition.localhost}"
|
||||
- "caddy.reverse_proxy={{upstreams 3000}}"
|
||||
|
||||
directus:
|
||||
image: registry.infra.mintel.me/mintel/directus:${IMAGE_TAG:-latest}
|
||||
@@ -58,6 +60,8 @@ services:
|
||||
- "traefik.enable=true"
|
||||
- "traefik.http.routers.sample-website-directus.rule=Host(`${DIRECTUS_HOST:-cms.sample-website.localhost}`)"
|
||||
- "traefik.http.services.sample-website-directus.loadbalancer.server.port=8055"
|
||||
- "caddy=http://${DIRECTUS_HOST:-cms.at.localhost}"
|
||||
- "caddy.reverse_proxy={{upstreams 8055}}"
|
||||
|
||||
at-mintel-directus-db:
|
||||
image: postgres:15-alpine
|
||||
|
||||
1
models/tiny_face_detector_model-shard1
Normal file
1
models/tiny_face_detector_model-shard1
Normal file
@@ -0,0 +1 @@
|
||||
404: Not Found
|
||||
30
models/tiny_face_detector_model-weights_manifest.json
Normal file
30
models/tiny_face_detector_model-weights_manifest.json
Normal file
@@ -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"
|
||||
]
|
||||
}
|
||||
]
|
||||
30
package.json
30
package.json
@@ -10,15 +10,16 @@
|
||||
"changeset": "changeset",
|
||||
"version-packages": "changeset version",
|
||||
"sync-versions": "tsx scripts/sync-versions.ts --",
|
||||
"cms:push:infra": "./scripts/sync-directus.sh push infra",
|
||||
"cms:pull:infra": "./scripts/sync-directus.sh pull infra",
|
||||
"cms:dev": "pnpm --filter @mintel/cms-infra dev",
|
||||
"cms:up": "pnpm --filter @mintel/cms-infra up",
|
||||
"cms:down": "pnpm --filter @mintel/cms-infra down",
|
||||
"cms:logs": "pnpm --filter @mintel/cms-infra logs",
|
||||
"cms:schema:snapshot": "./scripts/cms-snapshot.sh",
|
||||
"cms:schema:apply": "./scripts/cms-apply.sh local",
|
||||
"cms:schema:apply:infra": "./scripts/cms-apply.sh infra",
|
||||
"cms:up": "./scripts/sync-extensions.sh && cd packages/cms-infra && npm run up -- --force-recreate",
|
||||
"cms:down": "cd packages/cms-infra && npm run down",
|
||||
"cms:logs": "cd packages/cms-infra && npm run logs",
|
||||
"dev:infra": "docker-compose up -d directus directus-db",
|
||||
"cms:sync:push": "./scripts/sync-directus.sh push infra",
|
||||
"cms:sync:pull": "./scripts/sync-directus.sh pull infra",
|
||||
"build:extensions": "./scripts/sync-extensions.sh",
|
||||
"release": "pnpm build && changeset publish",
|
||||
"release:tag": "pnpm build && pnpm -r publish --no-git-checks --access public",
|
||||
"prepare": "husky"
|
||||
@@ -29,6 +30,7 @@
|
||||
"@commitlint/config-conventional": "^20.4.0",
|
||||
"@mintel/eslint-config": "workspace:*",
|
||||
"@mintel/husky-config": "workspace:*",
|
||||
"@next/eslint-plugin-next": "16.1.6",
|
||||
"@testing-library/jest-dom": "^6.9.1",
|
||||
"@testing-library/react": "^16.3.2",
|
||||
"@types/node": "^20.17.16",
|
||||
@@ -36,7 +38,6 @@
|
||||
"@types/react-dom": "^19.2.3",
|
||||
"@vitejs/plugin-react": "^5.1.2",
|
||||
"eslint": "^9.39.2",
|
||||
"@next/eslint-plugin-next": "16.1.6",
|
||||
"eslint-plugin-react": "^7.37.5",
|
||||
"eslint-plugin-react-hooks": "^7.0.1",
|
||||
"happy-dom": "^20.4.0",
|
||||
@@ -50,13 +51,26 @@
|
||||
"vitest": "^4.0.18"
|
||||
},
|
||||
"dependencies": {
|
||||
"globals": "^17.3.0",
|
||||
"import-in-the-middle": "^3.0.0",
|
||||
"pino": "^10.3.1",
|
||||
"pino-pretty": "^13.1.3",
|
||||
"require-in-the-middle": "^8.0.1"
|
||||
},
|
||||
"version": "1.8.2",
|
||||
"version": "1.8.16",
|
||||
"pnpm": {
|
||||
"onlyBuiltDependencies": [
|
||||
"@parcel/watcher",
|
||||
"@sentry/cli",
|
||||
"@swc/core",
|
||||
"@tensorflow/tfjs-node",
|
||||
"canvas",
|
||||
"core-js",
|
||||
"esbuild",
|
||||
"sharp",
|
||||
"unrs-resolver",
|
||||
"vue-demi"
|
||||
],
|
||||
"overrides": {
|
||||
"next": "16.1.6",
|
||||
"@sentry/nextjs": "10.38.0"
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -1,8 +1,8 @@
|
||||
{
|
||||
"name": "acquisition-manager",
|
||||
"description": "Custom High-Fidelity Acquisition Management for Directus",
|
||||
"icon": "account_balance_wallet",
|
||||
"version": "1.8.2",
|
||||
"description": "Custom High-Fidelity Management for Directus",
|
||||
"icon": "extension",
|
||||
"version": "1.8.16",
|
||||
"type": "module",
|
||||
"keywords": [
|
||||
"directus",
|
||||
@@ -11,15 +11,18 @@
|
||||
],
|
||||
"directus:extension": {
|
||||
"type": "module",
|
||||
"path": "index.js",
|
||||
"path": "dist/index.js",
|
||||
"source": "src/index.ts",
|
||||
"host": "*",
|
||||
"name": "Acquisition Manager"
|
||||
"host": "app",
|
||||
"name": "acquisition manager"
|
||||
},
|
||||
"scripts": {
|
||||
"build": "directus-extension build && cp -f dist/index.js index.js 2>/dev/null || true",
|
||||
"build": "directus-extension build",
|
||||
"dev": "directus-extension build -w"
|
||||
},
|
||||
"dependencies": {
|
||||
"@mintel/directus-extension-toolkit": "workspace:*"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@directus/extensions-sdk": "11.0.2",
|
||||
"vue": "^3.4.0"
|
||||
|
||||
@@ -1,8 +1,16 @@
|
||||
<template>
|
||||
<private-view title="Acquisition Manager">
|
||||
<MintelManagerLayout
|
||||
title="Acquisition Manager"
|
||||
:item-title="getCompanyName(selectedLead) || 'Lead wählen'"
|
||||
:is-empty="!selectedLead"
|
||||
empty-title="Lead auswählen"
|
||||
empty-icon="auto_awesome"
|
||||
:notice="notice"
|
||||
@close-notice="notice = null"
|
||||
>
|
||||
<template #navigation>
|
||||
<v-list nav>
|
||||
<v-list-item @click="showAddLead = true" clickable>
|
||||
<v-list-item @click="openCreateDrawer" clickable>
|
||||
<v-list-item-icon><v-icon name="add" color="var(--theme--primary)" /></v-list-item-icon>
|
||||
<v-list-item-content>
|
||||
<v-text-overflow text="Neuen Lead anlegen" />
|
||||
@@ -15,7 +23,7 @@
|
||||
v-for="lead in leads"
|
||||
:key="lead.id"
|
||||
:active="selectedLeadId === lead.id"
|
||||
class="lead-item"
|
||||
class="nav-item"
|
||||
clickable
|
||||
@click="selectLead(lead.id)"
|
||||
>
|
||||
@@ -29,166 +37,145 @@
|
||||
</v-list>
|
||||
</template>
|
||||
|
||||
<template #title-outer:after>
|
||||
<v-notice v-if="notice" :type="notice.type" @close="notice = null" dismissible>
|
||||
{{ notice.message }}
|
||||
</v-notice>
|
||||
<template #subtitle>
|
||||
<template v-if="selectedLead">
|
||||
<v-icon name="language" x-small />
|
||||
<a :href="selectedLead.website_url" target="_blank" class="url-link">
|
||||
{{ selectedLead.website_url.replace(/^https?:\/\//, '') }}
|
||||
</a>
|
||||
· Status: {{ selectedLead.status.toUpperCase() }}
|
||||
</template>
|
||||
</template>
|
||||
|
||||
<div class="content-wrapper">
|
||||
<v-notice type="success" style="margin-bottom: 16px;">
|
||||
DEBUG: Module Version 1.1.0 - Native Build - {{ new Date().toISOString() }}
|
||||
</v-notice>
|
||||
<template #actions>
|
||||
<v-button
|
||||
v-if="selectedLead?.status === 'new'"
|
||||
secondary
|
||||
:loading="loadingAudit"
|
||||
@click="runAudit"
|
||||
>
|
||||
<v-icon name="settings_suggest" left />
|
||||
Audit starten
|
||||
</v-button>
|
||||
|
||||
<div v-if="!selectedLead" class="empty-state">
|
||||
<v-info title="Lead auswählen" icon="auto_awesome" center>
|
||||
Wähle einen Lead in der Navigation aus oder
|
||||
<v-button x-small @click="showAddLead = true">registriere einen neuen Lead</v-button>.
|
||||
</v-info>
|
||||
</div>
|
||||
<template v-if="selectedLead?.status === 'audit_ready'">
|
||||
<v-button secondary :loading="loadingEmail" @click="sendAuditEmail">
|
||||
<v-icon name="mail" left />
|
||||
Audit E-Mail
|
||||
</v-button>
|
||||
<v-button :loading="loadingPdf" @click="generatePdf">
|
||||
<v-icon name="picture_as_pdf" left />
|
||||
PDF Erstellen
|
||||
</v-button>
|
||||
</template>
|
||||
|
||||
<template v-else>
|
||||
<header class="header">
|
||||
<div class="header-left">
|
||||
<h1 class="title">{{ getCompanyName(selectedLead) }}</h1>
|
||||
<p class="subtitle">
|
||||
<v-icon name="language" x-small />
|
||||
<a :href="selectedLead.website_url" target="_blank" class="url-link">
|
||||
{{ selectedLead.website_url.replace(/^https?:\/\//, '') }}
|
||||
</a>
|
||||
· Status: {{ selectedLead.status.toUpperCase() }}
|
||||
</p>
|
||||
</div>
|
||||
<div class="header-right">
|
||||
<v-button
|
||||
v-if="selectedLead.status === 'new'"
|
||||
secondary
|
||||
:loading="loadingAudit"
|
||||
@click="runAudit"
|
||||
>
|
||||
<v-icon name="settings_suggest" left />
|
||||
Audit starten
|
||||
</v-button>
|
||||
<v-button v-if="selectedLead?.audit_pdf_path" secondary icon v-tooltip.bottom="'PDF öffnen'" @click="openPdf">
|
||||
<v-icon name="open_in_new" />
|
||||
</v-button>
|
||||
|
||||
<template v-if="selectedLead.status === 'audit_ready'">
|
||||
<v-button secondary :loading="loadingEmail" @click="sendAuditEmail">
|
||||
<v-icon name="mail" left />
|
||||
Audit E-Mail
|
||||
</v-button>
|
||||
<v-button :loading="loadingPdf" @click="generatePdf">
|
||||
<v-icon name="picture_as_pdf" left />
|
||||
PDF Erstellen
|
||||
</v-button>
|
||||
</template>
|
||||
<v-button
|
||||
v-if="selectedLead && !isCustomer(selectedLead.company)"
|
||||
secondary
|
||||
@click="linkAsCustomer"
|
||||
>
|
||||
<v-icon name="handshake" left />
|
||||
Kunde verlinken
|
||||
</v-button>
|
||||
|
||||
<v-button
|
||||
v-if="selectedLead?.audit_pdf_path"
|
||||
primary
|
||||
:loading="loadingEmail"
|
||||
@click="sendEstimateEmail"
|
||||
>
|
||||
<v-icon name="send" left />
|
||||
Angebot senden
|
||||
</v-button>
|
||||
</template>
|
||||
|
||||
<v-button v-if="selectedLead.audit_pdf_path" secondary icon v-tooltip.bottom="'PDF öffnen'" @click="openPdf">
|
||||
<v-icon name="open_in_new" />
|
||||
</v-button>
|
||||
|
||||
<v-button
|
||||
v-if="selectedLead.audit_pdf_path"
|
||||
primary
|
||||
:loading="loadingEmail"
|
||||
@click="sendEstimateEmail"
|
||||
>
|
||||
<v-icon name="send" left />
|
||||
Angebot senden
|
||||
</v-button>
|
||||
</div>
|
||||
</header>
|
||||
<template #empty-state>
|
||||
Wähle einen Lead in der Navigation aus oder
|
||||
<v-button x-small @click="openCreateDrawer">registriere einen neuen Lead</v-button>.
|
||||
</template>
|
||||
|
||||
<div class="sections">
|
||||
<div class="main-info">
|
||||
<div class="form-grid">
|
||||
<div class="field">
|
||||
<span class="label">Kontaktperson</span>
|
||||
<div v-if="selectedLead.contact_person" class="value person-link" @click="goToPerson(selectedLead.contact_person)">
|
||||
{{ getPersonName(selectedLead.contact_person) }}
|
||||
</div>
|
||||
<div v-else class="value text-subdued">Keine Person verknüpft</div>
|
||||
</div>
|
||||
<div class="field">
|
||||
<span class="label">E-Mail (Legacy)</span>
|
||||
<div class="value">{{ selectedLead.contact_email || '—' }}</div>
|
||||
</div>
|
||||
<div class="field full">
|
||||
<span class="label">Briefing / Fokus</span>
|
||||
<div class="value text-block">{{ selectedLead.briefing || 'Kein Briefing hinterlegt.' }}</div>
|
||||
</div>
|
||||
<div v-if="selectedLead" class="sections">
|
||||
<div class="main-info">
|
||||
<div class="form-grid">
|
||||
<div class="field">
|
||||
<span class="label">Kontaktperson</span>
|
||||
<div v-if="selectedLead.contact_person" class="value person-link" @click="goToPerson(selectedLead.contact_person)">
|
||||
{{ getPersonName(selectedLead.contact_person) }}
|
||||
</div>
|
||||
<div v-else class="value text-subdued">Keine Person verknüpft</div>
|
||||
</div>
|
||||
|
||||
<v-divider />
|
||||
|
||||
<div v-if="selectedLead.ai_state" class="ai-observations">
|
||||
<h3 class="section-title">AI Observations & Estimation</h3>
|
||||
|
||||
<div class="metrics">
|
||||
<v-info label="Projekt-Modus" :value="selectedLead.ai_state.projectType || 'Unbekannt'" />
|
||||
<v-info label="Seitenanzahl" :value="selectedLead.ai_state.sitemap?.length || '0'" />
|
||||
</div>
|
||||
|
||||
<v-table
|
||||
v-if="selectedLead.ai_state.sitemap"
|
||||
:headers="[ { text: 'Seite', value: 'title' }, { text: 'URL', value: 'url' } ]"
|
||||
:items="selectedLead.ai_state.sitemap"
|
||||
class="observation-table"
|
||||
>
|
||||
<template #[`item.title`]="{ item }">
|
||||
<span class="page-title">{{ item.title }}</span>
|
||||
</template>
|
||||
<template #[`item.url`]="{ item }">
|
||||
<span class="page-url">{{ item.url }}</span>
|
||||
</template>
|
||||
</v-table>
|
||||
<div class="field full">
|
||||
<span class="label">Briefing / Fokus</span>
|
||||
<div class="value text-block">{{ selectedLead.briefing || 'Kein Briefing hinterlegt.' }}</div>
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
</div>
|
||||
|
||||
<v-divider />
|
||||
|
||||
<div v-if="selectedLead.ai_state" class="ai-observations">
|
||||
<h3 class="section-title">AI Observations & Estimation</h3>
|
||||
|
||||
<div class="metrics">
|
||||
<MintelStatCard label="Projekt-Modus" :value="selectedLead.ai_state.projectType || 'Unbekannt'" icon="category" />
|
||||
<MintelStatCard label="Seitenanzahl" :value="selectedLead.ai_state.sitemap?.length || '0'" icon="description" />
|
||||
</div>
|
||||
|
||||
<v-table
|
||||
v-if="selectedLead.ai_state.sitemap"
|
||||
:headers="[ { text: 'Seite', value: 'title' }, { text: 'URL', value: 'url' } ]"
|
||||
:items="selectedLead.ai_state.sitemap"
|
||||
class="observation-table"
|
||||
>
|
||||
<template #[`item.title`]="{ item }">
|
||||
<span class="page-title">{{ item.title }}</span>
|
||||
</template>
|
||||
<template #[`item.url`]="{ item }">
|
||||
<span class="page-url">{{ item.url }}</span>
|
||||
</template>
|
||||
</v-table>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Drawer: New Lead -->
|
||||
<v-drawer
|
||||
v-model="showAddLead"
|
||||
v-model="drawerActive"
|
||||
title="Neuen Lead registrieren"
|
||||
icon="person_add"
|
||||
@cancel="showAddLead = false"
|
||||
@cancel="drawerActive = false"
|
||||
>
|
||||
<div class="drawer-content">
|
||||
<div class="form-section">
|
||||
<div class="field">
|
||||
<span class="label">Organisation / Firma (Zentral)</span>
|
||||
<v-select
|
||||
<MintelSelect
|
||||
v-model="newLead.company"
|
||||
:items="companyOptions"
|
||||
placeholder="Bestehende Firma auswählen..."
|
||||
allow-add
|
||||
@add="openQuickAdd('company')"
|
||||
/>
|
||||
</div>
|
||||
<div class="field">
|
||||
<span class="label">Organisation / Firma (Legacy / Neu)</span>
|
||||
<v-input v-model="newLead.company_name" placeholder="z.B. Schmidt GmbH" autofocus />
|
||||
</div>
|
||||
<div class="field">
|
||||
<span class="label">Website URL</span>
|
||||
<v-input v-model="newLead.website_url" placeholder="https://..." />
|
||||
</div>
|
||||
<div class="field">
|
||||
<span class="label">Ansprechpartner</span>
|
||||
<v-input v-model="newLead.contact_name" placeholder="Vorname Nachname" />
|
||||
</div>
|
||||
<div class="field">
|
||||
<span class="label">E-Mail Adresse</span>
|
||||
<v-input v-model="newLead.contact_email" placeholder="email@beispiel.de" type="email" />
|
||||
</div>
|
||||
<div class="field">
|
||||
<span class="label">Briefing / Fokus</span>
|
||||
<v-textarea v-model="newLead.briefing" placeholder="Besonderheiten für das Audit..." />
|
||||
</div>
|
||||
<div class="field">
|
||||
<span class="label">Kontaktperson (Optional)</span>
|
||||
<v-select
|
||||
<MintelSelect
|
||||
v-model="newLead.contact_person"
|
||||
:items="peopleOptions"
|
||||
placeholder="Person auswählen..."
|
||||
allow-add
|
||||
@add="openQuickAdd('person')"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
@@ -198,29 +185,30 @@
|
||||
</div>
|
||||
</div>
|
||||
</v-drawer>
|
||||
</private-view>
|
||||
</MintelManagerLayout>
|
||||
</template>
|
||||
|
||||
<script setup lang="ts">
|
||||
import { ref, onMounted, computed } from 'vue';
|
||||
import { useApi } from '@directus/extensions-sdk';
|
||||
import { useRoute, useRouter } from 'vue-router';
|
||||
import { MintelManagerLayout, MintelSelect, MintelStatCard } from '@mintel/directus-extension-toolkit';
|
||||
|
||||
const api = useApi();
|
||||
const route = useRoute();
|
||||
const router = useRouter();
|
||||
const leads = ref<any[]>([]);
|
||||
const selectedLeadId = ref<string | null>(null);
|
||||
const loadingAudit = ref(false);
|
||||
const loadingPdf = ref(false);
|
||||
const loadingEmail = ref(false);
|
||||
const showAddLead = ref(false);
|
||||
const drawerActive = ref(false);
|
||||
const savingLead = ref(false);
|
||||
const notice = ref<{ type: string; message: string } | null>(null);
|
||||
|
||||
const newLead = ref({
|
||||
company_name: '', // Legacy
|
||||
company: null,
|
||||
website_url: '',
|
||||
contact_name: '', // Legacy
|
||||
contact_email: '', // Legacy
|
||||
contact_person: null,
|
||||
briefing: '',
|
||||
status: 'new'
|
||||
@@ -228,6 +216,7 @@ const newLead = ref({
|
||||
|
||||
const companies = ref<any[]>([]);
|
||||
const people = ref<any[]>([]);
|
||||
const customers = ref<any[]>([]);
|
||||
|
||||
const companyOptions = computed(() =>
|
||||
companies.value.map(c => ({
|
||||
@@ -244,10 +233,11 @@ const peopleOptions = computed(() =>
|
||||
);
|
||||
|
||||
function getCompanyName(lead: any) {
|
||||
if (!lead) return '';
|
||||
if (lead.company) {
|
||||
return typeof lead.company === 'object' ? lead.company.name : (companies.value.find(c => c.id === lead.company)?.name || lead.company_name);
|
||||
return typeof lead.company === 'object' ? lead.company.name : (companies.value.find(c => c.id === lead.company)?.name || 'Unbekannte Firma');
|
||||
}
|
||||
return lead.company_name;
|
||||
return 'Unbekannte Organisation';
|
||||
}
|
||||
|
||||
function getPersonName(id: string | any) {
|
||||
@@ -258,34 +248,64 @@ function getPersonName(id: string | any) {
|
||||
}
|
||||
|
||||
function goToPerson(id: string) {
|
||||
// Logic to navigate to people manager or open details
|
||||
notice.value = { type: 'info', message: `Navigiere zu Person: ${id}` };
|
||||
}
|
||||
|
||||
const selectedLead = computed(() => leads.value.find(l => l.id === selectedLeadId.value));
|
||||
|
||||
onMounted(fetchData);
|
||||
|
||||
async function fetchData() {
|
||||
const [leadsResp, peopleResp, companiesResp] = await Promise.all([
|
||||
api.get('/items/leads', {
|
||||
params: {
|
||||
sort: '-date_created',
|
||||
fields: '*.*'
|
||||
}
|
||||
}),
|
||||
api.get('/items/people', { params: { sort: 'last_name' } }),
|
||||
api.get('/items/companies', { params: { sort: 'name' } })
|
||||
]);
|
||||
leads.value = leadsResp.data.data;
|
||||
people.value = peopleResp.data.data;
|
||||
companies.value = companiesResp.data.data;
|
||||
|
||||
if (!selectedLeadId.value && leads.value.length > 0) {
|
||||
selectedLeadId.value = leads.value[0].id;
|
||||
try {
|
||||
const [leadsResp, peopleResp, companiesResp, customersResp] = await Promise.all([
|
||||
api.get('/items/leads', {
|
||||
params: {
|
||||
sort: '-date_created',
|
||||
fields: '*.*'
|
||||
}
|
||||
}),
|
||||
api.get('/items/people', { params: { sort: 'last_name' } }),
|
||||
api.get('/items/companies', { params: { sort: 'name' } }),
|
||||
api.get('/items/customers', { params: { fields: ['company'] } })
|
||||
]);
|
||||
leads.value = leadsResp.data.data;
|
||||
people.value = peopleResp.data.data;
|
||||
companies.value = companiesResp.data.data;
|
||||
customers.value = customersResp.data.data;
|
||||
|
||||
if (!selectedLeadId.value && leads.value.length > 0) {
|
||||
selectedLeadId.value = leads.value[0].id;
|
||||
}
|
||||
} catch (e: any) {
|
||||
console.error('Fetch error:', e);
|
||||
}
|
||||
}
|
||||
|
||||
function isCustomer(companyId: string | any) {
|
||||
if (!companyId) return false;
|
||||
const id = typeof companyId === 'object' ? companyId.id : companyId;
|
||||
return customers.value.some(c => (typeof c.company === 'object' ? c.company.id : c.company) === id);
|
||||
}
|
||||
|
||||
async function linkAsCustomer() {
|
||||
if (!selectedLead.value) return;
|
||||
|
||||
const companyId = selectedLead.value.company
|
||||
? (typeof selectedLead.value.company === 'object' ? selectedLead.value.company.id : selectedLead.value.company)
|
||||
: null;
|
||||
|
||||
const personId = selectedLead.value.contact_person
|
||||
? (typeof selectedLead.value.contact_person === 'object' ? selectedLead.value.contact_person.id : selectedLead.value.contact_person)
|
||||
: null;
|
||||
|
||||
router.push({
|
||||
name: 'module-customer-manager',
|
||||
query: {
|
||||
create: 'true',
|
||||
company: companyId,
|
||||
contact_person: personId
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
async function fetchLeads() {
|
||||
await fetchData();
|
||||
}
|
||||
@@ -294,6 +314,17 @@ function selectLead(id: string) {
|
||||
selectedLeadId.value = id;
|
||||
}
|
||||
|
||||
function openCreateDrawer() {
|
||||
newLead.value = {
|
||||
company: null,
|
||||
website_url: '',
|
||||
contact_person: null,
|
||||
briefing: '',
|
||||
status: 'new'
|
||||
};
|
||||
drawerActive.value = true;
|
||||
}
|
||||
|
||||
async function runAudit() {
|
||||
if (!selectedLeadId.value) return;
|
||||
loadingAudit.value = true;
|
||||
@@ -356,8 +387,8 @@ function openPdf() {
|
||||
}
|
||||
|
||||
async function saveLead() {
|
||||
if (!newLead.value.company_name && !newLead.value.company) {
|
||||
notice.value = { type: 'danger', message: 'Firma oder Firmenname erforderlich.' };
|
||||
if (!newLead.value.company) {
|
||||
notice.value = { type: 'danger', message: 'Organisation erforderlich.' };
|
||||
return;
|
||||
}
|
||||
savingLead.value = true;
|
||||
@@ -368,19 +399,9 @@ async function saveLead() {
|
||||
};
|
||||
await api.post('/items/leads', payload);
|
||||
notice.value = { type: 'success', message: 'Lead erfolgreich registriert!' };
|
||||
showAddLead.value = false;
|
||||
drawerActive.value = false;
|
||||
await fetchLeads();
|
||||
selectedLeadId.value = payload.id;
|
||||
newLead.value = {
|
||||
company_name: '',
|
||||
company: null,
|
||||
website_url: '',
|
||||
contact_name: '',
|
||||
contact_email: '',
|
||||
contact_person: null,
|
||||
briefing: '',
|
||||
status: 'new'
|
||||
};
|
||||
} catch (e: any) {
|
||||
notice.value = { type: 'danger', message: `Fehler beim Speichern: ${e.message}` };
|
||||
} finally {
|
||||
@@ -388,6 +409,10 @@ async function saveLead() {
|
||||
}
|
||||
}
|
||||
|
||||
function openQuickAdd(type: string) {
|
||||
notice.value = { type: 'info', message: `${type === 'company' ? 'Firma' : 'Person'} im jeweiligen Manager anlegen.` };
|
||||
}
|
||||
|
||||
function getStatusIcon(status: string) {
|
||||
switch(status) {
|
||||
case 'new': return 'fiber_new';
|
||||
@@ -407,18 +432,18 @@ function getStatusColor(status: string) {
|
||||
default: return 'var(--theme--foreground-subdued)';
|
||||
}
|
||||
}
|
||||
|
||||
onMounted(async () => {
|
||||
await fetchData();
|
||||
if (route.query.create === 'true') {
|
||||
openCreateDrawer();
|
||||
}
|
||||
});
|
||||
</script>
|
||||
|
||||
<style scoped>
|
||||
.content-wrapper { padding: 32px; height: 100%; display: flex; flex-direction: column; overflow-y: auto; }
|
||||
.lead-item { cursor: pointer; }
|
||||
.header { margin-bottom: 24px; display: flex; justify-content: space-between; align-items: flex-end; }
|
||||
.header-right { display: flex; gap: 12px; }
|
||||
.title { font-size: 24px; font-weight: 800; margin-bottom: 4px; color: var(--theme--foreground); }
|
||||
.subtitle { color: var(--theme--foreground-subdued); font-size: 14px; display: flex; align-items: center; gap: 8px; }
|
||||
.url-link { color: inherit; text-decoration: none; border-bottom: 1px solid transparent; }
|
||||
.url-link:hover { border-bottom-color: currentColor; }
|
||||
.empty-state { height: 100%; display: flex; align-items: center; justify-content: center; }
|
||||
|
||||
.sections { display: flex; flex-direction: column; gap: 32px; }
|
||||
|
||||
@@ -431,7 +456,7 @@ function getStatusColor(status: string) {
|
||||
|
||||
.ai-observations { display: flex; flex-direction: column; gap: 16px; }
|
||||
.section-title { font-size: 16px; font-weight: 700; color: var(--theme--foreground); margin-bottom: 8px; }
|
||||
.metrics { display: flex; gap: 32px; margin-bottom: 16px; }
|
||||
.metrics { display: flex; gap: 24px; margin-bottom: 16px; }
|
||||
|
||||
.observation-table { border: 1px solid var(--theme--border); border-radius: 8px; overflow: hidden; }
|
||||
.page-title { font-weight: 600; }
|
||||
@@ -440,6 +465,4 @@ function getStatusColor(status: string) {
|
||||
.drawer-content { padding: 24px; display: flex; flex-direction: column; gap: 32px; }
|
||||
.form-section { display: flex; flex-direction: column; gap: 20px; }
|
||||
.drawer-actions { margin-top: 24px; display: flex; flex-direction: column; gap: 12px; }
|
||||
|
||||
:deep(.v-list-item) { cursor: pointer !important; }
|
||||
</style>
|
||||
|
||||
@@ -11,7 +11,9 @@ const outfile = resolve(__dirname, 'dist/index.js');
|
||||
|
||||
try {
|
||||
mkdirSync(dirname(outfile), { recursive: true });
|
||||
} catch (e) { }
|
||||
} catch {
|
||||
// ignore
|
||||
}
|
||||
|
||||
console.log(`Building from ${entryPoint} to ${outfile}...`);
|
||||
|
||||
@@ -22,12 +24,16 @@ build({
|
||||
target: 'node18',
|
||||
outfile: outfile,
|
||||
jsx: 'automatic',
|
||||
format: 'esm',
|
||||
// footer: {
|
||||
// js: "module.exports = module.exports.default || module.exports;",
|
||||
// },
|
||||
loader: {
|
||||
'.tsx': 'tsx',
|
||||
'.ts': 'ts',
|
||||
'.js': 'js',
|
||||
},
|
||||
external: ["@react-pdf/renderer", "react", "react-dom", "jsdom", "jsdom/*", "jquery", "jquery/*", "canvas", "fs", "path", "os", "http", "https", "zlib", "stream", "util", "url", "net", "tls", "crypto"],
|
||||
external: ["canvas", "fs", "path", "os", "http", "https", "zlib", "stream", "util", "url", "net", "tls", "crypto"],
|
||||
plugins: [{
|
||||
name: 'mock-canvas',
|
||||
setup(build) {
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "acquisition",
|
||||
"version": "1.8.2",
|
||||
"version": "1.8.16",
|
||||
"type": "module",
|
||||
"directus:extension": {
|
||||
"type": "endpoint",
|
||||
|
||||
@@ -1,176 +1,236 @@
|
||||
import { defineEndpoint } from "@directus/extensions-sdk";
|
||||
import { AcquisitionService, PdfEngine } from "@mintel/pdf/server";
|
||||
import { render, SiteAuditTemplate, ProjectEstimateTemplate } from "@mintel/mail";
|
||||
import {
|
||||
render,
|
||||
SiteAuditTemplate,
|
||||
ProjectEstimateTemplate,
|
||||
} from "@mintel/mail";
|
||||
import { createElement } from "react";
|
||||
import * as path from "path";
|
||||
import * as fs from "fs";
|
||||
|
||||
export default defineEndpoint((router, { services, env }) => {
|
||||
const { ItemsService, MailService } = services;
|
||||
|
||||
router.get("/ping", (req, res) => res.send("pong"));
|
||||
|
||||
router.post("/audit/:id", async (req: any, res: any) => {
|
||||
const { id } = req.params;
|
||||
const leadsService = new ItemsService("leads", {
|
||||
schema: req.schema,
|
||||
accountability: req.accountability,
|
||||
});
|
||||
|
||||
try {
|
||||
const lead = await leadsService.readOne(id);
|
||||
if (!lead) return res.status(404).send({ error: "Lead not found" });
|
||||
|
||||
await leadsService.updateOne(id, { status: "auditing" });
|
||||
|
||||
const acqService = new AcquisitionService(env.OPENROUTER_API_KEY);
|
||||
const result = await acqService.runFullSequence(
|
||||
lead.website_url,
|
||||
lead.briefing,
|
||||
lead.comments,
|
||||
);
|
||||
|
||||
await leadsService.updateOne(id, {
|
||||
status: "audit_ready",
|
||||
ai_state: result.state,
|
||||
audit_context: JSON.stringify(result.usage),
|
||||
});
|
||||
|
||||
res.send({ success: true, result });
|
||||
} catch (error: any) {
|
||||
console.error("Audit failed:", error);
|
||||
await leadsService.updateOne(id, {
|
||||
status: "new",
|
||||
comments: `Audit failed: ${error.message}`,
|
||||
});
|
||||
res.status(500).send({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
router.post("/audit-email/:id", async (req: any, res: any) => {
|
||||
const { id } = req.params;
|
||||
const { ItemsService, MailService } = services;
|
||||
|
||||
router.get("/ping", (req, res) => res.send("pong"));
|
||||
|
||||
router.post("/audit/:id", async (req: any, res: any) => {
|
||||
const { id } = req.params;
|
||||
const leadsService = new ItemsService("leads", { schema: req.schema, accountability: req.accountability });
|
||||
|
||||
try {
|
||||
const lead = await leadsService.readOne(id);
|
||||
if (!lead) return res.status(404).send({ error: "Lead not found" });
|
||||
|
||||
await leadsService.updateOne(id, { status: "auditing" });
|
||||
|
||||
const acqService = new AcquisitionService(env.OPENROUTER_API_KEY);
|
||||
const result = await acqService.runFullSequence(lead.website_url, lead.briefing, lead.comments);
|
||||
|
||||
await leadsService.updateOne(id, {
|
||||
status: "audit_ready",
|
||||
ai_state: result.state,
|
||||
audit_context: JSON.stringify(result.usage),
|
||||
});
|
||||
|
||||
res.send({ success: true, result });
|
||||
} catch (error: any) {
|
||||
console.error("Audit failed:", error);
|
||||
await leadsService.updateOne(id, { status: "new", comments: `Audit failed: ${error.message}` });
|
||||
res.status(500).send({ error: error.message });
|
||||
}
|
||||
const leadsService = new ItemsService("leads", {
|
||||
schema: req.schema,
|
||||
accountability: req.accountability,
|
||||
});
|
||||
const _peopleService = new ItemsService("people", {
|
||||
schema: req.schema,
|
||||
accountability: req.accountability,
|
||||
});
|
||||
const companiesService = new ItemsService("companies", {
|
||||
schema: req.schema,
|
||||
accountability: req.accountability,
|
||||
});
|
||||
const mailService = new MailService({
|
||||
schema: req.schema,
|
||||
accountability: req.accountability,
|
||||
});
|
||||
|
||||
router.post("/audit-email/:id", async (req: any, res: any) => {
|
||||
const { id } = req.params;
|
||||
const { ItemsService, MailService } = services;
|
||||
const leadsService = new ItemsService("leads", { schema: req.schema, accountability: req.accountability });
|
||||
const peopleService = new ItemsService("people", { schema: req.schema, accountability: req.accountability });
|
||||
const companiesService = new ItemsService("companies", { schema: req.schema, accountability: req.accountability });
|
||||
const mailService = new MailService({ schema: req.schema, accountability: req.accountability });
|
||||
try {
|
||||
const lead = await leadsService.readOne(id, {
|
||||
fields: ["*", "company.*", "contact_person.*"],
|
||||
});
|
||||
if (!lead || !lead.ai_state)
|
||||
return res.status(400).send({ error: "Lead or Audit not ready" });
|
||||
|
||||
try {
|
||||
const lead = await leadsService.readOne(id, { fields: ["*", "company.*", "contact_person.*"] });
|
||||
if (!lead || !lead.ai_state) return res.status(400).send({ error: "Lead or Audit not ready" });
|
||||
let recipientEmail = lead.contact_email;
|
||||
let companyName = lead.company?.name || lead.company_name;
|
||||
|
||||
let recipientEmail = lead.contact_email;
|
||||
let companyName = lead.company?.name || lead.company_name;
|
||||
if (lead.contact_person) {
|
||||
recipientEmail = lead.contact_person.email || recipientEmail;
|
||||
|
||||
if (lead.contact_person) {
|
||||
recipientEmail = lead.contact_person.email || recipientEmail;
|
||||
|
||||
if (lead.contact_person.company) {
|
||||
const personCompany = await companiesService.readOne(lead.contact_person.company);
|
||||
companyName = personCompany?.name || companyName;
|
||||
}
|
||||
}
|
||||
|
||||
if (!recipientEmail) return res.status(400).send({ error: "No recipient email found" });
|
||||
|
||||
const auditHighlights = [
|
||||
`Projekt-Typ: ${lead.ai_state.projectType === "website" ? "Website" : "Web App"}`,
|
||||
...(lead.ai_state.sitemap || []).slice(0, 3).map((item: any) => `Potenzial in: ${item.category}`),
|
||||
];
|
||||
|
||||
const html = await render(createElement(SiteAuditTemplate, {
|
||||
companyName: companyName,
|
||||
websiteUrl: lead.website_url,
|
||||
auditHighlights
|
||||
}));
|
||||
|
||||
await mailService.send({
|
||||
to: recipientEmail,
|
||||
subject: `Analyse Ihrer Webpräsenz: ${companyName}`,
|
||||
html
|
||||
});
|
||||
|
||||
await leadsService.updateOne(id, {
|
||||
status: "contacted",
|
||||
last_contacted_at: new Date().toISOString(),
|
||||
});
|
||||
|
||||
res.send({ success: true });
|
||||
} catch (error: any) {
|
||||
console.error("Audit Email failed:", error);
|
||||
res.status(500).send({ error: error.message });
|
||||
if (lead.contact_person.company) {
|
||||
const personCompany = await companiesService.readOne(
|
||||
lead.contact_person.company,
|
||||
);
|
||||
companyName = personCompany?.name || companyName;
|
||||
}
|
||||
}
|
||||
|
||||
if (!recipientEmail)
|
||||
return res.status(400).send({ error: "No recipient email found" });
|
||||
|
||||
const auditHighlights = [
|
||||
`Projekt-Typ: ${lead.ai_state.projectType === "website" ? "Website" : "Web App"}`,
|
||||
...(lead.ai_state.sitemap || [])
|
||||
.slice(0, 3)
|
||||
.map((item: any) => `Potenzial in: ${item.category}`),
|
||||
];
|
||||
|
||||
const html = await render(
|
||||
createElement(SiteAuditTemplate, {
|
||||
companyName: companyName,
|
||||
websiteUrl: lead.website_url,
|
||||
auditHighlights,
|
||||
}),
|
||||
);
|
||||
|
||||
await mailService.send({
|
||||
to: recipientEmail,
|
||||
subject: `Analyse Ihrer Webpräsenz: ${companyName}`,
|
||||
html,
|
||||
});
|
||||
|
||||
await leadsService.updateOne(id, {
|
||||
status: "contacted",
|
||||
last_contacted_at: new Date().toISOString(),
|
||||
});
|
||||
|
||||
res.send({ success: true });
|
||||
} catch (error: any) {
|
||||
console.error("Audit Email failed:", error);
|
||||
res.status(500).send({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
router.post("/estimate/:id", async (req: any, res: any) => {
|
||||
const { id } = req.params;
|
||||
const leadsService = new ItemsService("leads", {
|
||||
schema: req.schema,
|
||||
accountability: req.accountability,
|
||||
});
|
||||
|
||||
router.post("/estimate/:id", async (req: any, res: any) => {
|
||||
const { id } = req.params;
|
||||
const leadsService = new ItemsService("leads", { schema: req.schema, accountability: req.accountability });
|
||||
try {
|
||||
const lead = await leadsService.readOne(id);
|
||||
if (!lead || !lead.ai_state)
|
||||
return res.status(400).send({ error: "Lead or AI state not found" });
|
||||
|
||||
try {
|
||||
const lead = await leadsService.readOne(id);
|
||||
if (!lead || !lead.ai_state) return res.status(400).send({ error: "Lead or AI state not found" });
|
||||
const pdfEngine = new PdfEngine();
|
||||
const filename = `estimate_${id}_${Date.now()}.pdf`;
|
||||
const storageRoot = env.STORAGE_LOCAL_ROOT || "./storage";
|
||||
const outputPath = path.join(storageRoot, filename);
|
||||
|
||||
const pdfEngine = new PdfEngine();
|
||||
const filename = `estimate_${id}_${Date.now()}.pdf`;
|
||||
const storageRoot = env.STORAGE_LOCAL_ROOT || "./storage";
|
||||
const outputPath = path.join(storageRoot, filename);
|
||||
await pdfEngine.generateEstimatePdf(lead.ai_state, outputPath);
|
||||
|
||||
await pdfEngine.generateEstimatePdf(lead.ai_state, outputPath);
|
||||
await leadsService.updateOne(id, {
|
||||
audit_pdf_path: filename,
|
||||
});
|
||||
|
||||
await leadsService.updateOne(id, {
|
||||
audit_pdf_path: filename,
|
||||
});
|
||||
res.send({ success: true, filename });
|
||||
} catch (error: any) {
|
||||
console.error("PDF Generation failed:", error);
|
||||
res.status(500).send({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
res.send({ success: true, filename });
|
||||
} catch (error: any) {
|
||||
console.error("PDF Generation failed:", error);
|
||||
res.status(500).send({ error: error.message });
|
||||
}
|
||||
router.post("/estimate-email/:id", async (req: any, res: any) => {
|
||||
const { id } = req.params;
|
||||
const leadsService = new ItemsService("leads", {
|
||||
schema: req.schema,
|
||||
accountability: req.accountability,
|
||||
});
|
||||
const _peopleService = new ItemsService("people", {
|
||||
schema: req.schema,
|
||||
accountability: req.accountability,
|
||||
});
|
||||
const companiesService = new ItemsService("companies", {
|
||||
schema: req.schema,
|
||||
accountability: req.accountability,
|
||||
});
|
||||
const mailService = new MailService({
|
||||
schema: req.schema,
|
||||
accountability: req.accountability,
|
||||
});
|
||||
|
||||
router.post("/estimate-email/:id", async (req: any, res: any) => {
|
||||
const { id } = req.params;
|
||||
const leadsService = new ItemsService("leads", { schema: req.schema, accountability: req.accountability });
|
||||
const peopleService = new ItemsService("people", { schema: req.schema, accountability: req.accountability });
|
||||
const companiesService = new ItemsService("companies", { schema: req.schema, accountability: req.accountability });
|
||||
const mailService = new MailService({ schema: req.schema, accountability: req.accountability });
|
||||
try {
|
||||
const lead = await leadsService.readOne(id, {
|
||||
fields: ["*", "company.*", "contact_person.*"],
|
||||
});
|
||||
if (!lead || !lead.audit_pdf_path)
|
||||
return res.status(400).send({ error: "PDF not generated" });
|
||||
|
||||
try {
|
||||
const lead = await leadsService.readOne(id, { fields: ["*", "company.*", "contact_person.*"] });
|
||||
if (!lead || !lead.audit_pdf_path) return res.status(400).send({ error: "PDF not generated" });
|
||||
let recipientEmail = lead.contact_email;
|
||||
let companyName = lead.company?.name || lead.company_name;
|
||||
|
||||
let recipientEmail = lead.contact_email;
|
||||
let companyName = lead.company?.name || lead.company_name;
|
||||
if (lead.contact_person) {
|
||||
recipientEmail = lead.contact_person.email || recipientEmail;
|
||||
|
||||
if (lead.contact_person) {
|
||||
recipientEmail = lead.contact_person.email || recipientEmail;
|
||||
|
||||
if (lead.contact_person.company) {
|
||||
const personCompany = await companiesService.readOne(lead.contact_person.company);
|
||||
companyName = personCompany?.name || companyName;
|
||||
}
|
||||
}
|
||||
|
||||
if (!recipientEmail) return res.status(400).send({ error: "No recipient email found" });
|
||||
|
||||
const html = await render(createElement(ProjectEstimateTemplate, {
|
||||
companyName: companyName,
|
||||
}));
|
||||
|
||||
const storageRoot = env.STORAGE_LOCAL_ROOT || "./storage";
|
||||
const attachmentPath = path.join(storageRoot, lead.audit_pdf_path);
|
||||
|
||||
await mailService.send({
|
||||
to: recipientEmail,
|
||||
subject: `Ihre Projekt-Schätzung: ${companyName}`,
|
||||
html,
|
||||
attachments: [
|
||||
{
|
||||
filename: `Angebot_${companyName}.pdf`,
|
||||
content: fs.readFileSync(attachmentPath)
|
||||
}
|
||||
]
|
||||
});
|
||||
|
||||
await leadsService.updateOne(id, {
|
||||
status: "contacted",
|
||||
last_contacted_at: new Date().toISOString(),
|
||||
});
|
||||
|
||||
res.send({ success: true });
|
||||
} catch (error: any) {
|
||||
console.error("Estimate Email failed:", error);
|
||||
res.status(500).send({ error: error.message });
|
||||
if (lead.contact_person.company) {
|
||||
const personCompany = await companiesService.readOne(
|
||||
lead.contact_person.company,
|
||||
);
|
||||
companyName = personCompany?.name || companyName;
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
if (!recipientEmail)
|
||||
return res.status(400).send({ error: "No recipient email found" });
|
||||
|
||||
const html = await render(
|
||||
createElement(ProjectEstimateTemplate, {
|
||||
companyName: companyName,
|
||||
}),
|
||||
);
|
||||
|
||||
const storageRoot = env.STORAGE_LOCAL_ROOT || "./storage";
|
||||
const attachmentPath = path.join(storageRoot, lead.audit_pdf_path);
|
||||
|
||||
await mailService.send({
|
||||
to: recipientEmail,
|
||||
subject: `Ihre Projekt-Schätzung: ${companyName}`,
|
||||
html,
|
||||
attachments: [
|
||||
{
|
||||
filename: `Angebot_${companyName}.pdf`,
|
||||
content: fs.readFileSync(attachmentPath),
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
await leadsService.updateOne(id, {
|
||||
status: "contacted",
|
||||
last_contacted_at: new Date().toISOString(),
|
||||
});
|
||||
|
||||
res.send({ success: true });
|
||||
} catch (error: any) {
|
||||
console.error("Estimate Email failed:", error);
|
||||
res.status(500).send({ error: error.message });
|
||||
}
|
||||
});
|
||||
});
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@mintel/cli",
|
||||
"version": "1.8.2",
|
||||
"version": "1.8.16",
|
||||
"publishConfig": {
|
||||
"access": "public",
|
||||
"registry": "https://npm.infra.mintel.me"
|
||||
|
||||
@@ -41,7 +41,7 @@ program
|
||||
`),
|
||||
);
|
||||
execSync(
|
||||
"docker-compose down --remove-orphans && docker-compose up app directus directus-db",
|
||||
"docker compose down --remove-orphans && docker compose up -d app directus at-mintel-directus-db",
|
||||
{ stdio: "inherit" },
|
||||
);
|
||||
});
|
||||
|
||||
@@ -12,7 +12,9 @@ const entryPoints = [
|
||||
|
||||
try {
|
||||
mkdirSync(resolve(__dirname, 'dist'), { recursive: true });
|
||||
} catch (e) { }
|
||||
} catch {
|
||||
// ignore
|
||||
}
|
||||
|
||||
console.log(`Building entry point...`);
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@mintel/cloner",
|
||||
"version": "1.8.2",
|
||||
"version": "1.8.16",
|
||||
"type": "module",
|
||||
"main": "dist/index.js",
|
||||
"module": "dist/index.js",
|
||||
|
||||
@@ -3,91 +3,96 @@ import fs from "node:fs";
|
||||
import path from "node:path";
|
||||
|
||||
export interface AssetMap {
|
||||
[originalUrl: string]: string;
|
||||
[originalUrl: string]: string;
|
||||
}
|
||||
|
||||
export class AssetManager {
|
||||
private userAgent: string;
|
||||
private userAgent: string;
|
||||
|
||||
constructor(userAgent: string = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36") {
|
||||
this.userAgent = userAgent;
|
||||
constructor(
|
||||
userAgent: string = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36",
|
||||
) {
|
||||
this.userAgent = userAgent;
|
||||
}
|
||||
|
||||
public sanitizePath(rawPath: string): string {
|
||||
return rawPath
|
||||
.split("/")
|
||||
.map((p) => p.replace(/[^a-z0-9._-]/gi, "_"))
|
||||
.join("/");
|
||||
}
|
||||
|
||||
public async downloadFile(
|
||||
url: string,
|
||||
assetsDir: string,
|
||||
): Promise<string | null> {
|
||||
if (url.startsWith("//")) url = `https:${url}`;
|
||||
if (!url.startsWith("http")) return null;
|
||||
|
||||
try {
|
||||
const u = new URL(url);
|
||||
const relPath = this.sanitizePath(u.hostname + u.pathname);
|
||||
const dest = path.join(assetsDir, relPath);
|
||||
|
||||
if (fs.existsSync(dest)) return `./assets/${relPath}`;
|
||||
|
||||
const res = await axios.get(url, {
|
||||
responseType: "arraybuffer",
|
||||
headers: { "User-Agent": this.userAgent },
|
||||
timeout: 15000,
|
||||
validateStatus: () => true,
|
||||
});
|
||||
|
||||
if (res.status !== 200) return null;
|
||||
|
||||
if (!fs.existsSync(path.dirname(dest)))
|
||||
fs.mkdirSync(path.dirname(dest), { recursive: true });
|
||||
fs.writeFileSync(dest, Buffer.from(res.data));
|
||||
return `./assets/${relPath}`;
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
public sanitizePath(rawPath: string): string {
|
||||
return rawPath
|
||||
.split("/")
|
||||
.map((p) => p.replace(/[^a-z0-9._-]/gi, "_"))
|
||||
.join("/");
|
||||
}
|
||||
public async processCssRecursively(
|
||||
cssContent: string,
|
||||
cssUrl: string,
|
||||
assetsDir: string,
|
||||
urlMap: AssetMap,
|
||||
depth = 0,
|
||||
): Promise<string> {
|
||||
if (depth > 5) return cssContent;
|
||||
|
||||
public async downloadFile(url: string, assetsDir: string): Promise<string | null> {
|
||||
if (url.startsWith("//")) url = `https:${url}`;
|
||||
if (!url.startsWith("http")) return null;
|
||||
const urlRegex = /(?:url\(["']?|@import\s+["'])([^"')]*)["']?\)?/gi;
|
||||
let match;
|
||||
let newContent = cssContent;
|
||||
|
||||
try {
|
||||
const u = new URL(url);
|
||||
const relPath = this.sanitizePath(u.hostname + u.pathname);
|
||||
const dest = path.join(assetsDir, relPath);
|
||||
while ((match = urlRegex.exec(cssContent)) !== null) {
|
||||
const originalUrl = match[1];
|
||||
if (originalUrl.startsWith("data:") || originalUrl.startsWith("blob:"))
|
||||
continue;
|
||||
|
||||
if (fs.existsSync(dest)) return `./assets/${relPath}`;
|
||||
try {
|
||||
const absUrl = new URL(originalUrl, cssUrl).href;
|
||||
const local = await this.downloadFile(absUrl, assetsDir);
|
||||
|
||||
const res = await axios.get(url, {
|
||||
responseType: "arraybuffer",
|
||||
headers: { "User-Agent": this.userAgent },
|
||||
timeout: 15000,
|
||||
validateStatus: () => true,
|
||||
});
|
||||
if (local) {
|
||||
const u = new URL(cssUrl);
|
||||
const cssPath = u.hostname + u.pathname;
|
||||
const assetPath = new URL(absUrl).hostname + new URL(absUrl).pathname;
|
||||
|
||||
if (res.status !== 200) return null;
|
||||
const rel = path.relative(
|
||||
path.dirname(this.sanitizePath(cssPath)),
|
||||
this.sanitizePath(assetPath),
|
||||
);
|
||||
|
||||
if (!fs.existsSync(path.dirname(dest)))
|
||||
fs.mkdirSync(path.dirname(dest), { recursive: true });
|
||||
fs.writeFileSync(dest, Buffer.from(res.data));
|
||||
return `./assets/${relPath}`;
|
||||
} catch {
|
||||
return null;
|
||||
newContent = newContent.split(originalUrl).join(rel);
|
||||
urlMap[absUrl] = local;
|
||||
}
|
||||
} catch {
|
||||
// Ignore
|
||||
}
|
||||
}
|
||||
|
||||
public async processCssRecursively(
|
||||
cssContent: string,
|
||||
cssUrl: string,
|
||||
assetsDir: string,
|
||||
urlMap: AssetMap,
|
||||
depth = 0,
|
||||
): Promise<string> {
|
||||
if (depth > 5) return cssContent;
|
||||
|
||||
const urlRegex = /(?:url\(["']?|@import\s+["'])([^"'\)]+)["']?\)?/gi;
|
||||
let match;
|
||||
let newContent = cssContent;
|
||||
|
||||
while ((match = urlRegex.exec(cssContent)) !== null) {
|
||||
const originalUrl = match[1];
|
||||
if (originalUrl.startsWith("data:") || originalUrl.startsWith("blob:"))
|
||||
continue;
|
||||
|
||||
try {
|
||||
const absUrl = new URL(originalUrl, cssUrl).href;
|
||||
const local = await this.downloadFile(absUrl, assetsDir);
|
||||
|
||||
if (local) {
|
||||
const u = new URL(cssUrl);
|
||||
const cssPath = u.hostname + u.pathname;
|
||||
const assetPath = new URL(absUrl).hostname + new URL(absUrl).pathname;
|
||||
|
||||
const rel = path.relative(
|
||||
path.dirname(this.sanitizePath(cssPath)),
|
||||
this.sanitizePath(assetPath),
|
||||
);
|
||||
|
||||
newContent = newContent.split(originalUrl).join(rel);
|
||||
urlMap[absUrl] = local;
|
||||
}
|
||||
} catch {
|
||||
// Ignore
|
||||
}
|
||||
}
|
||||
return newContent;
|
||||
}
|
||||
return newContent;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,184 +1,256 @@
|
||||
import { chromium, Browser, BrowserContext, Page } from "playwright";
|
||||
import { chromium } from "playwright";
|
||||
import fs from "node:fs";
|
||||
import path from "node:path";
|
||||
import axios from "axios";
|
||||
import { AssetManager, AssetMap } from "./AssetManager.js";
|
||||
|
||||
export interface PageClonerOptions {
|
||||
outputDir: string;
|
||||
userAgent?: string;
|
||||
outputDir: string;
|
||||
userAgent?: string;
|
||||
}
|
||||
|
||||
export class PageCloner {
|
||||
private options: PageClonerOptions;
|
||||
private assetManager: AssetManager;
|
||||
private userAgent: string;
|
||||
private options: PageClonerOptions;
|
||||
private assetManager: AssetManager;
|
||||
private userAgent: string;
|
||||
|
||||
constructor(options: PageClonerOptions) {
|
||||
this.options = options;
|
||||
this.userAgent = options.userAgent || "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36";
|
||||
this.assetManager = new AssetManager(this.userAgent);
|
||||
}
|
||||
constructor(options: PageClonerOptions) {
|
||||
this.options = options;
|
||||
this.userAgent =
|
||||
options.userAgent ||
|
||||
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36";
|
||||
this.assetManager = new AssetManager(this.userAgent);
|
||||
}
|
||||
|
||||
public async clone(targetUrl: string): Promise<string> {
|
||||
const urlObj = new URL(targetUrl);
|
||||
const domainSlug = urlObj.hostname.replace("www.", "");
|
||||
const domainDir = path.resolve(this.options.outputDir, domainSlug);
|
||||
const assetsDir = path.join(domainDir, "assets");
|
||||
public async clone(targetUrl: string): Promise<string> {
|
||||
const urlObj = new URL(targetUrl);
|
||||
const domainSlug = urlObj.hostname.replace("www.", "");
|
||||
const domainDir = path.resolve(this.options.outputDir, domainSlug);
|
||||
const assetsDir = path.join(domainDir, "assets");
|
||||
|
||||
if (!fs.existsSync(assetsDir)) fs.mkdirSync(assetsDir, { recursive: true });
|
||||
if (!fs.existsSync(assetsDir)) fs.mkdirSync(assetsDir, { recursive: true });
|
||||
|
||||
let pageSlug = urlObj.pathname.split("/").filter(Boolean).join("-");
|
||||
if (!pageSlug) pageSlug = "index";
|
||||
const htmlFilename = `${pageSlug}.html`;
|
||||
let pageSlug = urlObj.pathname.split("/").filter(Boolean).join("-");
|
||||
if (!pageSlug) pageSlug = "index";
|
||||
const htmlFilename = `${pageSlug}.html`;
|
||||
|
||||
console.log(`🚀 INDUSTRIAL CLONE: ${targetUrl}`);
|
||||
console.log(`🚀 INDUSTRIAL CLONE: ${targetUrl}`);
|
||||
|
||||
const browser = await chromium.launch({ headless: true });
|
||||
const context = await browser.newContext({
|
||||
userAgent: this.userAgent,
|
||||
viewport: { width: 1920, height: 1080 },
|
||||
});
|
||||
const page = await context.newPage();
|
||||
const browser = await chromium.launch({ headless: true });
|
||||
const context = await browser.newContext({
|
||||
userAgent: this.userAgent,
|
||||
viewport: { width: 1920, height: 1080 },
|
||||
});
|
||||
const page = await context.newPage();
|
||||
|
||||
const urlMap: AssetMap = {};
|
||||
const foundAssets = new Set<string>();
|
||||
const urlMap: AssetMap = {};
|
||||
const foundAssets = new Set<string>();
|
||||
|
||||
page.on("response", (response) => {
|
||||
if (response.status() === 200) {
|
||||
const url = response.url();
|
||||
if (url.match(/\.(css|js|png|jpg|jpeg|gif|svg|woff2?|ttf|otf|mp4|webm|webp|ico)/i)) {
|
||||
foundAssets.add(url);
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
try {
|
||||
await page.goto(targetUrl, { waitUntil: "networkidle", timeout: 90000 });
|
||||
|
||||
// Scroll Wave
|
||||
await page.evaluate(async () => {
|
||||
await new Promise((resolve) => {
|
||||
let totalHeight = 0;
|
||||
const distance = 400;
|
||||
const timer = setInterval(() => {
|
||||
const scrollHeight = document.body.scrollHeight;
|
||||
window.scrollBy(0, distance);
|
||||
totalHeight += distance;
|
||||
if (totalHeight >= scrollHeight) {
|
||||
clearInterval(timer);
|
||||
window.scrollTo(0, 0);
|
||||
resolve(true);
|
||||
}
|
||||
}, 100);
|
||||
});
|
||||
});
|
||||
|
||||
const fullHeight = await page.evaluate(() => document.body.scrollHeight);
|
||||
await page.setViewportSize({ width: 1920, height: fullHeight + 1000 });
|
||||
await page.waitForTimeout(3000);
|
||||
|
||||
// Sanitization
|
||||
await page.evaluate(() => {
|
||||
const assetPattern = /\.(jpg|jpeg|png|gif|svg|webp|mp4|webm|woff2?|ttf|otf)/i;
|
||||
document.querySelectorAll("*").forEach((el) => {
|
||||
if (["META", "LINK", "HEAD", "SCRIPT", "STYLE", "SVG", "PATH"].includes(el.tagName)) return;
|
||||
const htmlEl = el as HTMLElement;
|
||||
const style = window.getComputedStyle(htmlEl);
|
||||
if (style.opacity === "0" || style.visibility === "hidden") {
|
||||
htmlEl.style.setProperty("opacity", "1", "important");
|
||||
htmlEl.style.setProperty("visibility", "visible", "important");
|
||||
}
|
||||
for (const attr of Array.from(el.attributes)) {
|
||||
const name = attr.name.toLowerCase();
|
||||
const val = attr.value;
|
||||
if (assetPattern.test(val) || name.includes("src") || name.includes("image")) {
|
||||
if (el.tagName === "IMG") {
|
||||
const img = el as HTMLImageElement;
|
||||
if (name.includes("srcset")) img.srcset = val;
|
||||
else if (!img.src || img.src.includes("data:")) img.src = val;
|
||||
}
|
||||
if (el.tagName === "SOURCE") (el as HTMLSourceElement).srcset = val;
|
||||
if (el.tagName === "VIDEO" || el.tagName === "AUDIO") (el as HTMLMediaElement).src = val;
|
||||
if (val.match(/^(https?:\/\/|\/\/|\/)/) && !name.includes("href")) {
|
||||
const bg = htmlEl.style.backgroundImage;
|
||||
if (!bg || bg === "none") htmlEl.style.backgroundImage = `url('${val}')`;
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
if (document.body) {
|
||||
document.body.style.setProperty("opacity", "1", "important");
|
||||
document.body.style.setProperty("visibility", "visible", "important");
|
||||
}
|
||||
});
|
||||
|
||||
await page.waitForLoadState("networkidle");
|
||||
await page.waitForTimeout(1000);
|
||||
|
||||
let content = await page.content();
|
||||
const regexPatterns = [
|
||||
/(?:src|href|url|data-[a-z-]+|srcset)=["']([^"'<>\s]+?\.(?:css|js|png|jpg|jpeg|gif|svg|woff2?|ttf|otf|mp4|webm|webp|ico)(?:\?[^"']*)?)["']/gi,
|
||||
/url\(["']?([^"'\)]+)["']?\)/gi,
|
||||
];
|
||||
|
||||
for (const pattern of regexPatterns) {
|
||||
let match;
|
||||
while ((match = pattern.exec(content)) !== null) {
|
||||
try { foundAssets.add(new URL(match[1], targetUrl).href); } catch { }
|
||||
}
|
||||
}
|
||||
|
||||
for (const url of foundAssets) {
|
||||
const local = await this.assetManager.downloadFile(url, assetsDir);
|
||||
if (local) {
|
||||
urlMap[url] = local;
|
||||
const clean = url.split("?")[0];
|
||||
urlMap[clean] = local;
|
||||
if (clean.endsWith(".css")) {
|
||||
try {
|
||||
const { data } = await axios.get(url, { headers: { "User-Agent": this.userAgent } });
|
||||
const processedCss = await this.assetManager.processCssRecursively(data, url, assetsDir, urlMap);
|
||||
const relPath = this.assetManager.sanitizePath(new URL(url).hostname + new URL(url).pathname);
|
||||
fs.writeFileSync(path.join(assetsDir, relPath), processedCss);
|
||||
} catch { }
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
let finalContent = content;
|
||||
const sortedUrls = Object.keys(urlMap).sort((a, b) => b.length - a.length);
|
||||
if (sortedUrls.length > 0) {
|
||||
const escaped = sortedUrls.map((u) => u.replace(/[.*+?^${}()|[\]\\]/g, "\\$&"));
|
||||
const masterRegex = new RegExp(`(${escaped.join("|")})`, "g");
|
||||
finalContent = finalContent.replace(masterRegex, (match) => urlMap[match] || match);
|
||||
}
|
||||
|
||||
const commonDirs = ["/wp-content/", "/wp-includes/", "/assets/", "/static/", "/images/"];
|
||||
for (const dir of commonDirs) {
|
||||
const localDir = `./assets/${urlObj.hostname}${dir}`;
|
||||
finalContent = finalContent.split(`"${dir}`).join(`"${localDir}`).split(`'${dir}`).join(`'${localDir}`).split(`(${dir}`).join(`(${localDir}`);
|
||||
}
|
||||
|
||||
const domainPattern = new RegExp(`https?://(www\\.)?${urlObj.hostname.replace(/\./g, "\\.")}[^"']*`, "gi");
|
||||
finalContent = finalContent.replace(domainPattern, () => "./");
|
||||
|
||||
finalContent = finalContent.replace(/<script\b[^>]*>([\s\S]*?)<\/script>/gi, (match, scriptContent) => {
|
||||
const lower = scriptContent.toLowerCase();
|
||||
return (lower.includes("google-analytics") || lower.includes("gtag") || lower.includes("fbq") || lower.includes("lazy") || lower.includes("tracker")) ? "" : match;
|
||||
});
|
||||
|
||||
const headEnd = finalContent.indexOf("</head>");
|
||||
if (headEnd > -1) {
|
||||
const stabilityCss = `\n<style>* { transition: none !important; animation: none !important; scroll-behavior: auto !important; } [data-aos], .reveal, .lazypath, .lazy-load, [data-src] { opacity: 1 !important; visibility: visible !important; transform: none !important; clip-path: none !important; } img, video, iframe { max-width: 100%; display: block; } a { pointer-events: none; cursor: default; } </style>`;
|
||||
finalContent = finalContent.slice(0, headEnd) + stabilityCss + finalContent.slice(headEnd);
|
||||
}
|
||||
|
||||
const finalPath = path.join(domainDir, htmlFilename);
|
||||
fs.writeFileSync(finalPath, finalContent);
|
||||
return finalPath;
|
||||
} finally {
|
||||
await browser.close();
|
||||
page.on("response", (response) => {
|
||||
if (response.status() === 200) {
|
||||
const url = response.url();
|
||||
if (
|
||||
url.match(
|
||||
/\.(css|js|png|jpg|jpeg|gif|svg|woff2?|ttf|otf|mp4|webm|webp|ico)/i,
|
||||
)
|
||||
) {
|
||||
foundAssets.add(url);
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
try {
|
||||
await page.goto(targetUrl, { waitUntil: "networkidle", timeout: 90000 });
|
||||
|
||||
// Scroll Wave
|
||||
await page.evaluate(async () => {
|
||||
await new Promise((resolve) => {
|
||||
let totalHeight = 0;
|
||||
const distance = 400;
|
||||
const timer = setInterval(() => {
|
||||
const scrollHeight = document.body.scrollHeight;
|
||||
window.scrollBy(0, distance);
|
||||
totalHeight += distance;
|
||||
if (totalHeight >= scrollHeight) {
|
||||
clearInterval(timer);
|
||||
window.scrollTo(0, 0);
|
||||
resolve(true);
|
||||
}
|
||||
}, 100);
|
||||
});
|
||||
});
|
||||
|
||||
const fullHeight = await page.evaluate(() => document.body.scrollHeight);
|
||||
await page.setViewportSize({ width: 1920, height: fullHeight + 1000 });
|
||||
await page.waitForTimeout(3000);
|
||||
|
||||
// Sanitization
|
||||
await page.evaluate(() => {
|
||||
const assetPattern =
|
||||
/\.(jpg|jpeg|png|gif|svg|webp|mp4|webm|woff2?|ttf|otf)/i;
|
||||
document.querySelectorAll("*").forEach((el) => {
|
||||
if (
|
||||
["META", "LINK", "HEAD", "SCRIPT", "STYLE", "SVG", "PATH"].includes(
|
||||
el.tagName,
|
||||
)
|
||||
)
|
||||
return;
|
||||
const htmlEl = el as HTMLElement;
|
||||
const style = window.getComputedStyle(htmlEl);
|
||||
if (style.opacity === "0" || style.visibility === "hidden") {
|
||||
htmlEl.style.setProperty("opacity", "1", "important");
|
||||
htmlEl.style.setProperty("visibility", "visible", "important");
|
||||
}
|
||||
for (const attr of Array.from(el.attributes)) {
|
||||
const name = attr.name.toLowerCase();
|
||||
const val = attr.value;
|
||||
if (
|
||||
assetPattern.test(val) ||
|
||||
name.includes("src") ||
|
||||
name.includes("image")
|
||||
) {
|
||||
if (el.tagName === "IMG") {
|
||||
const img = el as HTMLImageElement;
|
||||
if (name.includes("srcset")) img.srcset = val;
|
||||
else if (!img.src || img.src.includes("data:")) img.src = val;
|
||||
}
|
||||
if (el.tagName === "SOURCE")
|
||||
(el as HTMLSourceElement).srcset = val;
|
||||
if (el.tagName === "VIDEO" || el.tagName === "AUDIO")
|
||||
(el as HTMLMediaElement).src = val;
|
||||
if (
|
||||
val.match(/^(https?:\/\/|\/\/|\/)/) &&
|
||||
!name.includes("href")
|
||||
) {
|
||||
const bg = htmlEl.style.backgroundImage;
|
||||
if (!bg || bg === "none")
|
||||
htmlEl.style.backgroundImage = `url('${val}')`;
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
if (document.body) {
|
||||
document.body.style.setProperty("opacity", "1", "important");
|
||||
document.body.style.setProperty("visibility", "visible", "important");
|
||||
}
|
||||
});
|
||||
|
||||
await page.waitForLoadState("networkidle");
|
||||
await page.waitForTimeout(1000);
|
||||
|
||||
const content = await page.content();
|
||||
const regexPatterns = [
|
||||
/(?:src|href|url|data-[a-z-]+|srcset)=["']([^"'<>\s]+?\.(?:css|js|png|jpg|jpeg|gif|svg|woff2?|ttf|otf|mp4|webm|webp|ico)(?:\?[^"']*)?)["']/gi,
|
||||
/url\(["']?([^"')]*)["']?\)/gi,
|
||||
];
|
||||
|
||||
for (const pattern of regexPatterns) {
|
||||
let match;
|
||||
while ((match = pattern.exec(content)) !== null) {
|
||||
try {
|
||||
foundAssets.add(new URL(match[1], targetUrl).href);
|
||||
} catch {
|
||||
// Ignore invalid URLs
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
for (const url of foundAssets) {
|
||||
const local = await this.assetManager.downloadFile(url, assetsDir);
|
||||
if (local) {
|
||||
urlMap[url] = local;
|
||||
const clean = url.split("?")[0];
|
||||
urlMap[clean] = local;
|
||||
if (clean.endsWith(".css")) {
|
||||
try {
|
||||
const { data } = await axios.get(url, {
|
||||
headers: { "User-Agent": this.userAgent },
|
||||
});
|
||||
const processedCss =
|
||||
await this.assetManager.processCssRecursively(
|
||||
data,
|
||||
url,
|
||||
assetsDir,
|
||||
urlMap,
|
||||
);
|
||||
const relPath = this.assetManager.sanitizePath(
|
||||
new URL(url).hostname + new URL(url).pathname,
|
||||
);
|
||||
fs.writeFileSync(path.join(assetsDir, relPath), processedCss);
|
||||
} catch {
|
||||
// Ignore stylesheet download/process failures
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
let finalContent = content;
|
||||
const sortedUrls = Object.keys(urlMap).sort(
|
||||
(a, b) => b.length - a.length,
|
||||
);
|
||||
if (sortedUrls.length > 0) {
|
||||
const escaped = sortedUrls.map((u) =>
|
||||
u.replace(/[.*+?^${}()|[\]\\]/g, "\\$&"),
|
||||
);
|
||||
const masterRegex = new RegExp(`(${escaped.join("|")})`, "g");
|
||||
finalContent = finalContent.replace(
|
||||
masterRegex,
|
||||
(match) => urlMap[match] || match,
|
||||
);
|
||||
}
|
||||
|
||||
const commonDirs = [
|
||||
"/wp-content/",
|
||||
"/wp-includes/",
|
||||
"/assets/",
|
||||
"/static/",
|
||||
"/images/",
|
||||
];
|
||||
for (const dir of commonDirs) {
|
||||
const localDir = `./assets/${urlObj.hostname}${dir}`;
|
||||
finalContent = finalContent
|
||||
.split(`"${dir}`)
|
||||
.join(`"${localDir}`)
|
||||
.split(`'${dir}`)
|
||||
.join(`'${localDir}`)
|
||||
.split(`(${dir}`)
|
||||
.join(`(${localDir}`);
|
||||
}
|
||||
|
||||
const domainPattern = new RegExp(
|
||||
`https?://(www\\.)?${urlObj.hostname.replace(/\./g, "\\.")}[^"']*`,
|
||||
"gi",
|
||||
);
|
||||
finalContent = finalContent.replace(domainPattern, () => "./");
|
||||
|
||||
finalContent = finalContent.replace(
|
||||
/<script\b[^>]*>([\s\S]*?)<\/script>/gi,
|
||||
(match, scriptContent) => {
|
||||
const lower = scriptContent.toLowerCase();
|
||||
return lower.includes("google-analytics") ||
|
||||
lower.includes("gtag") ||
|
||||
lower.includes("fbq") ||
|
||||
lower.includes("lazy") ||
|
||||
lower.includes("tracker")
|
||||
? ""
|
||||
: match;
|
||||
},
|
||||
);
|
||||
|
||||
const headEnd = finalContent.indexOf("</head>");
|
||||
if (headEnd > -1) {
|
||||
const stabilityCss = `\n<style>* { transition: none !important; animation: none !important; scroll-behavior: auto !important; } [data-aos], .reveal, .lazypath, .lazy-load, [data-src] { opacity: 1 !important; visibility: visible !important; transform: none !important; clip-path: none !important; } img, video, iframe { max-width: 100%; display: block; } a { pointer-events: none; cursor: default; } </style>`;
|
||||
finalContent =
|
||||
finalContent.slice(0, headEnd) +
|
||||
stabilityCss +
|
||||
finalContent.slice(headEnd);
|
||||
}
|
||||
|
||||
const finalPath = path.join(domainDir, htmlFilename);
|
||||
fs.writeFileSync(finalPath, finalContent);
|
||||
return finalPath;
|
||||
} finally {
|
||||
await browser.close();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,123 +1,150 @@
|
||||
import { PlaywrightCrawler, RequestQueue } from 'crawlee';
|
||||
import * as path from 'node:path';
|
||||
import * as fs from 'node:fs';
|
||||
import { execSync } from 'node:child_process';
|
||||
import { PlaywrightCrawler, RequestQueue } from "crawlee";
|
||||
import * as path from "node:path";
|
||||
import * as fs from "node:fs";
|
||||
import { execSync } from "node:child_process";
|
||||
|
||||
export interface WebsiteClonerOptions {
|
||||
baseOutputDir: string;
|
||||
maxRequestsPerCrawl?: number;
|
||||
maxConcurrency?: number;
|
||||
baseOutputDir: string;
|
||||
maxRequestsPerCrawl?: number;
|
||||
maxConcurrency?: number;
|
||||
}
|
||||
|
||||
export class WebsiteCloner {
|
||||
private options: WebsiteClonerOptions;
|
||||
private options: WebsiteClonerOptions;
|
||||
|
||||
constructor(options: WebsiteClonerOptions) {
|
||||
this.options = {
|
||||
maxRequestsPerCrawl: 100,
|
||||
maxConcurrency: 3,
|
||||
...options
|
||||
};
|
||||
constructor(options: WebsiteClonerOptions) {
|
||||
this.options = {
|
||||
maxRequestsPerCrawl: 100,
|
||||
maxConcurrency: 3,
|
||||
...options,
|
||||
};
|
||||
}
|
||||
|
||||
public async clone(
|
||||
targetUrl: string,
|
||||
outputDirName?: string,
|
||||
): Promise<string> {
|
||||
const urlObj = new URL(targetUrl);
|
||||
const domain = urlObj.hostname;
|
||||
const finalOutputDirName = outputDirName || domain.replace(/\./g, "-");
|
||||
const baseOutputDir = path.resolve(
|
||||
this.options.baseOutputDir,
|
||||
finalOutputDirName,
|
||||
);
|
||||
|
||||
if (fs.existsSync(baseOutputDir)) {
|
||||
fs.rmSync(baseOutputDir, { recursive: true, force: true });
|
||||
}
|
||||
fs.mkdirSync(baseOutputDir, { recursive: true });
|
||||
|
||||
public async clone(targetUrl: string, outputDirName?: string): Promise<string> {
|
||||
const urlObj = new URL(targetUrl);
|
||||
const domain = urlObj.hostname;
|
||||
const finalOutputDirName = outputDirName || domain.replace(/\./g, '-');
|
||||
const baseOutputDir = path.resolve(this.options.baseOutputDir, finalOutputDirName);
|
||||
console.log(`🚀 Starting perfect recursive clone of ${targetUrl}...`);
|
||||
console.log(`📂 Output: ${baseOutputDir}`);
|
||||
|
||||
if (fs.existsSync(baseOutputDir)) {
|
||||
fs.rmSync(baseOutputDir, { recursive: true, force: true });
|
||||
}
|
||||
fs.mkdirSync(baseOutputDir, { recursive: true });
|
||||
const requestQueue = await RequestQueue.open();
|
||||
await requestQueue.addRequest({ url: targetUrl });
|
||||
|
||||
console.log(`🚀 Starting perfect recursive clone of ${targetUrl}...`);
|
||||
console.log(`📂 Output: ${baseOutputDir}`);
|
||||
const crawler = new PlaywrightCrawler({
|
||||
requestQueue,
|
||||
maxRequestsPerCrawl: this.options.maxRequestsPerCrawl,
|
||||
maxConcurrency: this.options.maxConcurrency,
|
||||
|
||||
const requestQueue = await RequestQueue.open();
|
||||
await requestQueue.addRequest({ url: targetUrl });
|
||||
async requestHandler({ request, enqueueLinks, log }) {
|
||||
const url = request.url;
|
||||
log.info(`Capturing ${url}...`);
|
||||
|
||||
const crawler = new PlaywrightCrawler({
|
||||
requestQueue,
|
||||
maxRequestsPerCrawl: this.options.maxRequestsPerCrawl,
|
||||
maxConcurrency: this.options.maxConcurrency,
|
||||
const u = new URL(url);
|
||||
let relPath = u.pathname;
|
||||
if (relPath === "/" || relPath === "") relPath = "/index.html";
|
||||
if (!relPath.endsWith(".html") && !path.extname(relPath))
|
||||
relPath += "/index.html";
|
||||
if (relPath.startsWith("/")) relPath = relPath.substring(1);
|
||||
|
||||
async requestHandler({ request, enqueueLinks, log }) {
|
||||
const url = request.url;
|
||||
log.info(`Capturing ${url}...`);
|
||||
const fullPath = path.join(baseOutputDir, relPath);
|
||||
fs.mkdirSync(path.dirname(fullPath), { recursive: true });
|
||||
|
||||
const u = new URL(url);
|
||||
let relPath = u.pathname;
|
||||
if (relPath === '/' || relPath === '') relPath = '/index.html';
|
||||
if (!relPath.endsWith('.html') && !path.extname(relPath)) relPath += '/index.html';
|
||||
if (relPath.startsWith('/')) relPath = relPath.substring(1);
|
||||
|
||||
const fullPath = path.join(baseOutputDir, relPath);
|
||||
fs.mkdirSync(path.dirname(fullPath), { recursive: true });
|
||||
|
||||
try {
|
||||
// Note: This assumes single-file-cli is available in the environment
|
||||
execSync(`npx single-file-cli "${url}" "${fullPath}" --browser-headless=true --browser-wait-until=networkidle0`, {
|
||||
stdio: 'inherit'
|
||||
});
|
||||
} catch (e) {
|
||||
log.error(`Failed to capture ${url} with SingleFile`);
|
||||
}
|
||||
|
||||
await enqueueLinks({
|
||||
strategy: 'same-domain',
|
||||
transformRequestFunction: (req) => {
|
||||
if (/\.(download|pdf|zip|gz|exe|png|jpg|jpeg|gif|svg|css|js)$/i.test(req.url)) return false;
|
||||
return req;
|
||||
}
|
||||
});
|
||||
try {
|
||||
// Note: This assumes single-file-cli is available in the environment
|
||||
execSync(
|
||||
`npx single-file-cli "${url}" "${fullPath}" --browser-headless=true --browser-wait-until=networkidle0`,
|
||||
{
|
||||
stdio: "inherit",
|
||||
},
|
||||
);
|
||||
} catch (_e) {
|
||||
log.error(`Failed to capture ${url} with SingleFile`);
|
||||
}
|
||||
|
||||
await enqueueLinks({
|
||||
strategy: "same-domain",
|
||||
transformRequestFunction: (req) => {
|
||||
if (
|
||||
/\.(download|pdf|zip|gz|exe|png|jpg|jpeg|gif|svg|css|js)$/i.test(
|
||||
req.url,
|
||||
)
|
||||
)
|
||||
return false;
|
||||
return req;
|
||||
},
|
||||
});
|
||||
},
|
||||
});
|
||||
|
||||
await crawler.run();
|
||||
await crawler.run();
|
||||
|
||||
console.log('🔗 Rewriting internal links for offline navigation...');
|
||||
const allFiles = this.getFiles(baseOutputDir).filter(f => f.endsWith('.html'));
|
||||
console.log("🔗 Rewriting internal links for offline navigation...");
|
||||
const allFiles = this.getFiles(baseOutputDir).filter((f) =>
|
||||
f.endsWith(".html"),
|
||||
);
|
||||
|
||||
for (const file of allFiles) {
|
||||
let content = fs.readFileSync(file, 'utf8');
|
||||
const fileRelToRoot = path.relative(baseOutputDir, file);
|
||||
for (const file of allFiles) {
|
||||
let content = fs.readFileSync(file, "utf8");
|
||||
const fileRelToRoot = path.relative(baseOutputDir, file);
|
||||
|
||||
content = content.replace(/href="([^"]+)"/g, (match, href) => {
|
||||
if (href.startsWith(targetUrl) || href.startsWith('/') || (!href.includes('://') && !href.startsWith('data:'))) {
|
||||
try {
|
||||
const linkUrl = new URL(href, targetUrl);
|
||||
if (linkUrl.hostname === domain) {
|
||||
let linkPath = linkUrl.pathname;
|
||||
if (linkPath === '/' || linkPath === '') linkPath = '/index.html';
|
||||
if (!linkPath.endsWith('.html') && !path.extname(linkPath)) linkPath += '/index.html';
|
||||
if (linkPath.startsWith('/')) linkPath = linkPath.substring(1);
|
||||
content = content.replace(/href="([^"]+)"/g, (match, href) => {
|
||||
if (
|
||||
href.startsWith(targetUrl) ||
|
||||
href.startsWith("/") ||
|
||||
(!href.includes("://") && !href.startsWith("data:"))
|
||||
) {
|
||||
try {
|
||||
const linkUrl = new URL(href, targetUrl);
|
||||
if (linkUrl.hostname === domain) {
|
||||
let linkPath = linkUrl.pathname;
|
||||
if (linkPath === "/" || linkPath === "") linkPath = "/index.html";
|
||||
if (!linkPath.endsWith(".html") && !path.extname(linkPath))
|
||||
linkPath += "/index.html";
|
||||
if (linkPath.startsWith("/")) linkPath = linkPath.substring(1);
|
||||
|
||||
const relativeLink = path.relative(path.dirname(fileRelToRoot), linkPath);
|
||||
return `href="${relativeLink}"`;
|
||||
}
|
||||
} catch (e) { }
|
||||
}
|
||||
return match;
|
||||
});
|
||||
|
||||
fs.writeFileSync(file, content);
|
||||
}
|
||||
|
||||
console.log(`\n✅ Done! Perfect clone complete in: ${baseOutputDir}`);
|
||||
return baseOutputDir;
|
||||
}
|
||||
|
||||
private getFiles(dir: string, fileList: string[] = []) {
|
||||
const files = fs.readdirSync(dir);
|
||||
for (const file of files) {
|
||||
const name = path.join(dir, file);
|
||||
if (fs.statSync(name).isDirectory()) {
|
||||
this.getFiles(name, fileList);
|
||||
} else {
|
||||
fileList.push(name);
|
||||
const relativeLink = path.relative(
|
||||
path.dirname(fileRelToRoot),
|
||||
linkPath,
|
||||
);
|
||||
return `href="${relativeLink}"`;
|
||||
}
|
||||
} catch (_e) {
|
||||
// Ignore link rewriting failures
|
||||
}
|
||||
}
|
||||
return fileList;
|
||||
return match;
|
||||
});
|
||||
|
||||
fs.writeFileSync(file, content);
|
||||
}
|
||||
|
||||
console.log(`\n✅ Done! Perfect clone complete in: ${baseOutputDir}`);
|
||||
return baseOutputDir;
|
||||
}
|
||||
|
||||
private getFiles(dir: string, fileList: string[] = []) {
|
||||
const files = fs.readdirSync(dir);
|
||||
for (const file of files) {
|
||||
const name = path.join(dir, file);
|
||||
if (fs.statSync(name).isDirectory()) {
|
||||
this.getFiles(name, fileList);
|
||||
} else {
|
||||
fileList.push(name);
|
||||
}
|
||||
}
|
||||
return fileList;
|
||||
}
|
||||
}
|
||||
|
||||
11
packages/cms-infra/Dockerfile
Normal file
11
packages/cms-infra/Dockerfile
Normal file
@@ -0,0 +1,11 @@
|
||||
FROM directus/directus:11
|
||||
|
||||
USER root
|
||||
# Install dependencies in a way that avoids metadata conflicts in the root
|
||||
RUN mkdir -p /directus/lib-dependencies && \
|
||||
cd /directus/lib-dependencies && \
|
||||
npm init -y && \
|
||||
npm install vue @vueuse/core vue-router
|
||||
# Ensure they are in the NODE_PATH
|
||||
ENV NODE_PATH="/directus/lib-dependencies/node_modules:${NODE_PATH}"
|
||||
USER node
|
||||
BIN
packages/cms-infra/database/data.db
Executable file → Normal file
BIN
packages/cms-infra/database/data.db
Executable file → Normal file
Binary file not shown.
@@ -1,6 +1,6 @@
|
||||
services:
|
||||
infra-cms:
|
||||
image: directus/directus:11
|
||||
image: directus/directus:11.15.2
|
||||
ports:
|
||||
- "8059:8055"
|
||||
networks:
|
||||
@@ -14,6 +14,7 @@ services:
|
||||
DB_CLIENT: "sqlite3"
|
||||
DB_FILENAME: "/directus/database/data.db"
|
||||
WEBSOCKETS_ENABLED: "true"
|
||||
PUBLIC_URL: "http://cms.localhost"
|
||||
EMAIL_TRANSPORT: "smtp"
|
||||
EMAIL_SMTP_HOST: "smtp.eu.mailgun.org"
|
||||
EMAIL_SMTP_PORT: "587"
|
||||
@@ -21,19 +22,32 @@ services:
|
||||
EMAIL_SMTP_PASSWORD: "4592fcb94599ee1a45b4ac2386fd0a64-102c75d8-ca2870e6"
|
||||
EMAIL_SMTP_SECURE: "false"
|
||||
EMAIL_FROM: "postmaster@mg.mintel.me"
|
||||
LOG_LEVEL: "debug"
|
||||
SERVE_APP: "true"
|
||||
EXTENSIONS_AUTO_RELOAD: "true"
|
||||
EXTENSIONS_SANDBOX: "false"
|
||||
CONTENT_SECURITY_POLICY: "false"
|
||||
volumes:
|
||||
- ./database:/directus/database
|
||||
- ./uploads:/directus/uploads
|
||||
- ./schema:/directus/schema
|
||||
- ./extensions:/directus/extensions
|
||||
healthcheck:
|
||||
test: [ "CMD", "wget", "--no-verbose", "--tries=1", "--spider", "http://127.0.0.1:8055/server/health" ]
|
||||
interval: 10s
|
||||
timeout: 5s
|
||||
retries: 5
|
||||
|
||||
labels:
|
||||
- "traefik.enable=true"
|
||||
- "traefik.http.routers.infra-cms.rule=Host(`cms.localhost`)"
|
||||
- "traefik.http.services.infra-cms.loadbalancer.server.port=8055"
|
||||
- "traefik.docker.network=infra"
|
||||
traefik.enable: "true"
|
||||
traefik.http.routers.at-mintel-infra-cms.rule: "Host(`cms.localhost`)"
|
||||
traefik.docker.network: "infra"
|
||||
caddy: "http://cms.localhost"
|
||||
caddy.reverse_proxy: "{{upstreams 8055}}"
|
||||
caddy.header.Cache-Control: "no-store, no-cache, must-revalidate, max-age=0"
|
||||
|
||||
networks:
|
||||
default:
|
||||
name: mintel-infra-cms-internal
|
||||
name: at-mintel-cms-network
|
||||
infra:
|
||||
external: true
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -1,30 +0,0 @@
|
||||
{
|
||||
"name": "acquisition-manager",
|
||||
"description": "Custom High-Fidelity Acquisition Management for Directus",
|
||||
"icon": "account_balance_wallet",
|
||||
"version": "1.7.12",
|
||||
"type": "module",
|
||||
"keywords": [
|
||||
"directus",
|
||||
"directus-extension",
|
||||
"directus-extension-module"
|
||||
],
|
||||
"files": [
|
||||
"dist"
|
||||
],
|
||||
"directus:extension": {
|
||||
"type": "module",
|
||||
"path": "index.js",
|
||||
"source": "src/index.ts",
|
||||
"host": "*",
|
||||
"name": "Acquisition Manager"
|
||||
},
|
||||
"scripts": {
|
||||
"build": "directus-extension build && (cp -f dist/index.js index.js 2>/dev/null || true)",
|
||||
"dev": "directus-extension build -w"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@directus/extensions-sdk": "11.0.2",
|
||||
"vue": "^3.4.0"
|
||||
}
|
||||
}
|
||||
File diff suppressed because one or more lines are too long
@@ -1,30 +0,0 @@
|
||||
{
|
||||
"name": "customer-manager",
|
||||
"description": "Custom High-Fidelity Customer & Company Management for Directus",
|
||||
"icon": "supervisor_account",
|
||||
"version": "1.7.12",
|
||||
"type": "module",
|
||||
"keywords": [
|
||||
"directus",
|
||||
"directus-extension",
|
||||
"directus-extension-module"
|
||||
],
|
||||
"files": [
|
||||
"dist"
|
||||
],
|
||||
"directus:extension": {
|
||||
"type": "module",
|
||||
"path": "index.js",
|
||||
"source": "src/index.ts",
|
||||
"host": "*",
|
||||
"name": "Customer Manager"
|
||||
},
|
||||
"scripts": {
|
||||
"build": "directus-extension build && (cp -f dist/index.js index.js 2>/dev/null || true)",
|
||||
"dev": "directus-extension build -w"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@directus/extensions-sdk": "11.0.2",
|
||||
"vue": "^3.4.0"
|
||||
}
|
||||
}
|
||||
File diff suppressed because one or more lines are too long
@@ -1,30 +0,0 @@
|
||||
{
|
||||
"name": "feedback-commander",
|
||||
"description": "Custom High-Fidelity Feedback Management Extension for Directus",
|
||||
"icon": "view_kanban",
|
||||
"version": "1.7.12",
|
||||
"type": "module",
|
||||
"keywords": [
|
||||
"directus",
|
||||
"directus-extension",
|
||||
"directus-extension-module"
|
||||
],
|
||||
"files": [
|
||||
"dist"
|
||||
],
|
||||
"directus:extension": {
|
||||
"type": "module",
|
||||
"path": "index.js",
|
||||
"source": "src/index.ts",
|
||||
"host": "*",
|
||||
"name": "Feedback Commander"
|
||||
},
|
||||
"scripts": {
|
||||
"build": "directus-extension build && (cp -f dist/index.js index.js 2>/dev/null || true)",
|
||||
"dev": "directus-extension build -w"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@directus/extensions-sdk": "11.0.2",
|
||||
"vue": "^3.4.0"
|
||||
}
|
||||
}
|
||||
File diff suppressed because one or more lines are too long
@@ -1,30 +0,0 @@
|
||||
{
|
||||
"name": "people-manager",
|
||||
"description": "Custom High-Fidelity People Management for Directus",
|
||||
"icon": "person",
|
||||
"version": "1.7.12",
|
||||
"type": "module",
|
||||
"keywords": [
|
||||
"directus",
|
||||
"directus-extension",
|
||||
"directus-extension-module"
|
||||
],
|
||||
"files": [
|
||||
"dist"
|
||||
],
|
||||
"directus:extension": {
|
||||
"type": "module",
|
||||
"path": "index.js",
|
||||
"source": "src/index.ts",
|
||||
"host": "*",
|
||||
"name": "People Manager"
|
||||
},
|
||||
"scripts": {
|
||||
"build": "directus-extension build && (cp -f dist/index.js index.js 2>/dev/null || true)",
|
||||
"dev": "directus-extension build -w"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@directus/extensions-sdk": "11.0.2",
|
||||
"vue": "^3.4.0"
|
||||
}
|
||||
}
|
||||
@@ -1,10 +1,11 @@
|
||||
{
|
||||
"name": "@mintel/cms-infra",
|
||||
"version": "1.8.2",
|
||||
"version": "1.8.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"scripts": {
|
||||
"up": "npm run build:extensions && docker compose up -d",
|
||||
"dev": "npm run up -- --link",
|
||||
"up": "../../scripts/cms-up.sh",
|
||||
"down": "docker compose down",
|
||||
"logs": "docker compose logs -f",
|
||||
"build:extensions": "../../scripts/sync-extensions.sh",
|
||||
|
||||
@@ -37,7 +37,7 @@ collections:
|
||||
color: null
|
||||
display_template: '{{name}}'
|
||||
group: null
|
||||
hidden: true
|
||||
hidden: false
|
||||
icon: business
|
||||
item_duplication_fields: null
|
||||
note: null
|
||||
@@ -146,6 +146,30 @@ collections:
|
||||
versioning: false
|
||||
schema:
|
||||
name: visual_feedback_comments
|
||||
- collection: customers
|
||||
meta:
|
||||
accountability: all
|
||||
archive_app_filter: true
|
||||
archive_field: null
|
||||
archive_value: null
|
||||
collapse: open
|
||||
collection: customers
|
||||
color: null
|
||||
display_template: '{{company.name}}'
|
||||
group: null
|
||||
hidden: false
|
||||
icon: handshake
|
||||
item_duplication_fields: null
|
||||
note: null
|
||||
preview_url: null
|
||||
singleton: false
|
||||
sort: null
|
||||
sort_field: null
|
||||
translations: null
|
||||
unarchive_value: null
|
||||
versioning: false
|
||||
schema:
|
||||
name: customers
|
||||
fields:
|
||||
- collection: client_users
|
||||
field: id
|
||||
@@ -1959,13 +1983,204 @@ fields:
|
||||
validation_message: null
|
||||
width: half
|
||||
schema:
|
||||
name: person
|
||||
table: visual_feedback_comments
|
||||
foreign_key_column: null
|
||||
- collection: customers
|
||||
field: id
|
||||
type: uuid
|
||||
meta:
|
||||
collection: customers
|
||||
conditions: null
|
||||
display: null
|
||||
display_options: null
|
||||
field: id
|
||||
group: null
|
||||
hidden: true
|
||||
interface: null
|
||||
note: null
|
||||
options: null
|
||||
readonly: false
|
||||
required: false
|
||||
searchable: true
|
||||
sort: 1
|
||||
special:
|
||||
- uuid
|
||||
translations: null
|
||||
validation: null
|
||||
validation_message: null
|
||||
width: full
|
||||
schema:
|
||||
name: id
|
||||
table: customers
|
||||
data_type: char
|
||||
default_value: null
|
||||
max_length: 36
|
||||
numeric_precision: null
|
||||
numeric_scale: null
|
||||
is_nullable: false
|
||||
is_unique: true
|
||||
is_indexed: false
|
||||
is_primary_key: true
|
||||
is_generated: false
|
||||
generation_expression: null
|
||||
has_auto_increment: false
|
||||
foreign_key_table: null
|
||||
foreign_key_column: null
|
||||
- collection: customers
|
||||
field: company
|
||||
type: uuid
|
||||
meta:
|
||||
collection: customers
|
||||
conditions: null
|
||||
display: null
|
||||
display_options: null
|
||||
field: company
|
||||
group: null
|
||||
hidden: false
|
||||
interface: select-dropdown-m2o
|
||||
note: null
|
||||
options: null
|
||||
readonly: false
|
||||
required: true
|
||||
searchable: true
|
||||
sort: 2
|
||||
special: null
|
||||
translations: null
|
||||
validation: null
|
||||
validation_message: null
|
||||
width: half
|
||||
schema:
|
||||
name: company
|
||||
table: customers
|
||||
data_type: char
|
||||
default_value: null
|
||||
max_length: 36
|
||||
numeric_precision: null
|
||||
numeric_scale: null
|
||||
is_nullable: true
|
||||
is_unique: false
|
||||
is_indexed: false
|
||||
is_primary_key: false
|
||||
is_generated: false
|
||||
generation_expression: null
|
||||
has_auto_increment: false
|
||||
foreign_key_table: companies
|
||||
foreign_key_column: id
|
||||
- collection: customers
|
||||
field: contact_person
|
||||
type: uuid
|
||||
meta:
|
||||
collection: customers
|
||||
conditions: null
|
||||
display: null
|
||||
display_options: null
|
||||
field: contact_person
|
||||
group: null
|
||||
hidden: false
|
||||
interface: select-dropdown-m2o
|
||||
note: null
|
||||
options: null
|
||||
readonly: false
|
||||
required: false
|
||||
searchable: true
|
||||
sort: 3
|
||||
special: null
|
||||
translations: null
|
||||
validation: null
|
||||
validation_message: null
|
||||
width: half
|
||||
schema:
|
||||
name: contact_person
|
||||
table: customers
|
||||
data_type: char
|
||||
default_value: null
|
||||
max_length: 36
|
||||
numeric_precision: null
|
||||
numeric_scale: null
|
||||
is_nullable: true
|
||||
is_unique: false
|
||||
is_indexed: false
|
||||
is_primary_key: false
|
||||
is_generated: false
|
||||
generation_expression: null
|
||||
has_auto_increment: false
|
||||
foreign_key_table: people
|
||||
foreign_key_column: id
|
||||
- collection: customers
|
||||
field: status
|
||||
type: string
|
||||
meta:
|
||||
collection: customers
|
||||
conditions: null
|
||||
display: null
|
||||
display_options: null
|
||||
field: status
|
||||
group: null
|
||||
hidden: false
|
||||
interface: select-dropdown
|
||||
note: null
|
||||
options:
|
||||
choices:
|
||||
- text: Active
|
||||
value: active
|
||||
- text: Inactive
|
||||
value: inactive
|
||||
readonly: false
|
||||
required: false
|
||||
searchable: true
|
||||
sort: 4
|
||||
special: null
|
||||
translations: null
|
||||
validation: null
|
||||
validation_message: null
|
||||
width: half
|
||||
schema:
|
||||
name: status
|
||||
table: customers
|
||||
data_type: varchar
|
||||
default_value: active
|
||||
max_length: 255
|
||||
numeric_precision: null
|
||||
numeric_scale: null
|
||||
is_nullable: true
|
||||
is_unique: false
|
||||
is_indexed: false
|
||||
is_primary_key: false
|
||||
is_generated: false
|
||||
generation_expression: null
|
||||
has_auto_increment: false
|
||||
foreign_key_table: null
|
||||
foreign_key_column: null
|
||||
- collection: customers
|
||||
field: notes
|
||||
type: text
|
||||
meta:
|
||||
collection: customers
|
||||
conditions: null
|
||||
display: null
|
||||
display_options: null
|
||||
field: notes
|
||||
group: null
|
||||
hidden: false
|
||||
interface: input-multiline
|
||||
note: null
|
||||
options: null
|
||||
readonly: false
|
||||
required: false
|
||||
searchable: true
|
||||
sort: 5
|
||||
special: null
|
||||
translations: null
|
||||
validation: null
|
||||
validation_message: null
|
||||
width: full
|
||||
schema:
|
||||
name: notes
|
||||
table: customers
|
||||
data_type: text
|
||||
default_value: null
|
||||
max_length: null
|
||||
numeric_precision: null
|
||||
numeric_scale: null
|
||||
is_nullable: true
|
||||
is_unique: false
|
||||
is_indexed: false
|
||||
@@ -1989,6 +2204,28 @@ systemFields:
|
||||
schema:
|
||||
is_indexed: true
|
||||
relations:
|
||||
- collection: customers
|
||||
field: company
|
||||
related_collection: companies
|
||||
schema:
|
||||
on_update: null
|
||||
on_delete: SET NULL
|
||||
constraint_name: customers_company_foreign
|
||||
table: customers
|
||||
column: company
|
||||
foreign_key_table: companies
|
||||
foreign_key_column: id
|
||||
- collection: customers
|
||||
field: contact_person
|
||||
related_collection: people
|
||||
schema:
|
||||
on_update: null
|
||||
on_delete: SET NULL
|
||||
constraint_name: customers_contact_person_foreign
|
||||
table: customers
|
||||
column: contact_person
|
||||
foreign_key_table: people
|
||||
foreign_key_column: id
|
||||
- collection: client_users
|
||||
field: company
|
||||
related_collection: companies
|
||||
|
||||
@@ -1 +0,0 @@
|
||||
xmKX5
|
||||
@@ -1,8 +1,8 @@
|
||||
{
|
||||
"name": "company-manager",
|
||||
"description": "Central Company Management for Directus",
|
||||
"icon": "business",
|
||||
"version": "1.8.2",
|
||||
"description": "Custom High-Fidelity Management for Directus",
|
||||
"icon": "extension",
|
||||
"version": "1.8.16",
|
||||
"type": "module",
|
||||
"keywords": [
|
||||
"directus",
|
||||
@@ -11,15 +11,18 @@
|
||||
],
|
||||
"directus:extension": {
|
||||
"type": "module",
|
||||
"path": "index.js",
|
||||
"path": "dist/index.js",
|
||||
"source": "src/index.ts",
|
||||
"host": "*",
|
||||
"name": "Company Manager"
|
||||
"host": "app",
|
||||
"name": "company manager"
|
||||
},
|
||||
"scripts": {
|
||||
"build": "directus-extension build && cp -f dist/index.js index.js 2>/dev/null || true",
|
||||
"build": "directus-extension build",
|
||||
"dev": "directus-extension build -w"
|
||||
},
|
||||
"dependencies": {
|
||||
"@mintel/directus-extension-toolkit": "workspace:*"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@directus/extensions-sdk": "11.0.2",
|
||||
"vue": "^3.4.0"
|
||||
|
||||
14
packages/company-manager/src/index.ts
Normal file
14
packages/company-manager/src/index.ts
Normal file
@@ -0,0 +1,14 @@
|
||||
import { defineModule } from '@directus/extensions-sdk';
|
||||
import ModuleComponent from './module.vue';
|
||||
|
||||
export default defineModule({
|
||||
id: 'company-manager',
|
||||
name: 'Company Manager',
|
||||
icon: 'business',
|
||||
routes: [
|
||||
{
|
||||
path: '',
|
||||
component: ModuleComponent,
|
||||
},
|
||||
],
|
||||
});
|
||||
224
packages/company-manager/src/module.vue
Normal file
224
packages/company-manager/src/module.vue
Normal file
@@ -0,0 +1,224 @@
|
||||
<template>
|
||||
<MintelManagerLayout
|
||||
title="Company Manager"
|
||||
:item-title="selectedCompany?.name || 'Firma wählen'"
|
||||
:is-empty="!selectedCompany"
|
||||
empty-title="Firma auswählen"
|
||||
empty-icon="business"
|
||||
:notice="feedback"
|
||||
@close-notice="feedback = null"
|
||||
>
|
||||
<template #navigation>
|
||||
<v-list nav>
|
||||
<v-list-item @click="openCreateDrawer" clickable>
|
||||
<v-list-item-icon>
|
||||
<v-icon name="add" color="var(--theme--primary)" />
|
||||
</v-list-item-icon>
|
||||
<v-list-item-content>
|
||||
<v-text-overflow text="Neue Firma anlegen" />
|
||||
</v-list-item-content>
|
||||
</v-list-item>
|
||||
|
||||
<v-divider />
|
||||
|
||||
<v-list-item
|
||||
v-for="company in companies"
|
||||
:key="company.id"
|
||||
:active="selectedCompany?.id === company.id"
|
||||
class="nav-item"
|
||||
clickable
|
||||
@click="selectCompany(company)"
|
||||
>
|
||||
<v-list-item-icon>
|
||||
<v-icon name="business" />
|
||||
</v-list-item-icon>
|
||||
<v-list-item-content>
|
||||
<v-text-overflow :text="company.name" />
|
||||
</v-list-item-content>
|
||||
</v-list-item>
|
||||
</v-list>
|
||||
</template>
|
||||
|
||||
<template #subtitle>
|
||||
<template v-if="selectedCompany">
|
||||
{{ selectedCompany.domain || 'Keine Domain angegeben' }}
|
||||
</template>
|
||||
</template>
|
||||
|
||||
<template #actions>
|
||||
<v-button secondary rounded icon v-tooltip.bottom="'Firma bearbeiten'" @click="openEditDrawer">
|
||||
<v-icon name="edit" />
|
||||
</v-button>
|
||||
<v-button danger rounded icon v-tooltip.bottom="'Firma löschen'" @click="deleteCompany">
|
||||
<v-icon name="delete" />
|
||||
</v-button>
|
||||
</template>
|
||||
|
||||
<template #empty-state>
|
||||
Wähle eine Firma in der Navigation aus oder
|
||||
<v-button x-small @click="openCreateDrawer">erstelle eine neue Firma</v-button>.
|
||||
</template>
|
||||
|
||||
<div v-if="selectedCompany" class="details-grid">
|
||||
<div class="detail-item full">
|
||||
<span class="label">Notizen / Adresse</span>
|
||||
<p class="value">{{ selectedCompany.notes || '---' }}</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Create/Edit Drawer -->
|
||||
<v-drawer
|
||||
v-model="drawerActive"
|
||||
:title="isEditing ? 'Firma bearbeiten' : 'Neue Firma anlegen'"
|
||||
icon="business"
|
||||
@cancel="drawerActive = false"
|
||||
>
|
||||
<template #default>
|
||||
<div class="drawer-content">
|
||||
<div class="form-section">
|
||||
<div class="field">
|
||||
<span class="label">Firmenname</span>
|
||||
<v-input v-model="form.name" placeholder="z.B. Schmidt GmbH" autofocus />
|
||||
</div>
|
||||
<div class="field">
|
||||
<span class="label">Domain / Website</span>
|
||||
<v-input v-model="form.domain" placeholder="example.com" />
|
||||
</div>
|
||||
<div class="field">
|
||||
<span class="label">Notizen / Adresse</span>
|
||||
<v-textarea v-model="form.notes" placeholder="z.B. Branche, Adresse, etc." />
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="drawer-actions">
|
||||
<v-button primary block :loading="saving" @click="saveCompany">
|
||||
Firma speichern
|
||||
</v-button>
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
</v-drawer>
|
||||
</MintelManagerLayout>
|
||||
</template>
|
||||
|
||||
<script setup lang="ts">
|
||||
import { ref, onMounted } from 'vue';
|
||||
import { useApi } from '@directus/extensions-sdk';
|
||||
import { useRoute } from 'vue-router';
|
||||
import { MintelManagerLayout } from '@mintel/directus-extension-toolkit';
|
||||
|
||||
const api = useApi();
|
||||
const route = useRoute();
|
||||
const companies = ref([]);
|
||||
const selectedCompany = ref(null);
|
||||
const feedback = ref(null);
|
||||
const saving = ref(false);
|
||||
const drawerActive = ref(false);
|
||||
const isEditing = ref(false);
|
||||
|
||||
const form = ref({
|
||||
id: null,
|
||||
name: '',
|
||||
domain: '',
|
||||
notes: ''
|
||||
});
|
||||
|
||||
async function fetchData() {
|
||||
try {
|
||||
const resp = await api.get('/items/companies', {
|
||||
params: { sort: 'name' }
|
||||
});
|
||||
companies.value = resp.data.data;
|
||||
} catch (error) {
|
||||
console.error('Failed to fetch companies:', error);
|
||||
}
|
||||
}
|
||||
|
||||
function selectCompany(company: any) {
|
||||
selectedCompany.value = company;
|
||||
}
|
||||
|
||||
function openCreateDrawer() {
|
||||
isEditing.value = false;
|
||||
form.value = {
|
||||
id: null,
|
||||
name: '',
|
||||
domain: '',
|
||||
notes: ''
|
||||
};
|
||||
drawerActive.value = true;
|
||||
}
|
||||
|
||||
function openEditDrawer() {
|
||||
isEditing.value = true;
|
||||
form.value = {
|
||||
id: selectedCompany.value.id,
|
||||
name: selectedCompany.value.name,
|
||||
domain: selectedCompany.value.domain,
|
||||
notes: selectedCompany.value.notes
|
||||
};
|
||||
drawerActive.value = true;
|
||||
}
|
||||
|
||||
async function saveCompany() {
|
||||
if (!form.value.name) {
|
||||
feedback.value = { type: 'danger', message: 'Firmenname ist erforderlich.' };
|
||||
return;
|
||||
}
|
||||
|
||||
saving.value = true;
|
||||
try {
|
||||
let updatedItem;
|
||||
if (isEditing.value) {
|
||||
const res = await api.patch(`/items/companies/${form.value.id}`, form.value);
|
||||
updatedItem = res.data.data;
|
||||
feedback.value = { type: 'success', message: 'Firma aktualisiert!' };
|
||||
} else {
|
||||
const res = await api.post('/items/companies', form.value);
|
||||
updatedItem = res.data.data;
|
||||
feedback.value = { type: 'success', message: 'Firma angelegt!' };
|
||||
}
|
||||
drawerActive.value = false;
|
||||
await fetchData();
|
||||
if (updatedItem) {
|
||||
selectedCompany.value = companies.value.find(c => c.id === updatedItem.id) || updatedItem;
|
||||
}
|
||||
} catch (error) {
|
||||
feedback.value = { type: 'danger', message: error.message };
|
||||
} finally {
|
||||
saving.value = false;
|
||||
}
|
||||
}
|
||||
|
||||
async function deleteCompany() {
|
||||
if (!confirm('Soll diese Firma wirklich gelöscht werden?')) return;
|
||||
|
||||
try {
|
||||
await api.delete(`/items/companies/${selectedCompany.value.id}`);
|
||||
feedback.value = { type: 'success', message: 'Firma gelöscht.' };
|
||||
selectedCompany.value = null;
|
||||
await fetchData();
|
||||
} catch (error) {
|
||||
feedback.value = { type: 'danger', message: error.message };
|
||||
}
|
||||
}
|
||||
|
||||
onMounted(async () => {
|
||||
await fetchData();
|
||||
if (route.query.create === 'true') {
|
||||
openCreateDrawer();
|
||||
}
|
||||
});
|
||||
</script>
|
||||
|
||||
<style scoped>
|
||||
.details-grid { display: flex; flex-direction: column; gap: 24px; }
|
||||
.detail-item { display: flex; flex-direction: column; gap: 8px; }
|
||||
.detail-item.full { width: 100%; }
|
||||
.label { font-size: 12px; font-weight: 700; text-transform: uppercase; color: var(--theme--foreground-subdued); letter-spacing: 0.5px; }
|
||||
.value { font-size: 16px; font-weight: 500; }
|
||||
.drawer-content { padding: 24px; display: flex; flex-direction: column; gap: 32px; }
|
||||
.form-section { display: flex; flex-direction: column; gap: 20px; }
|
||||
.field { display: flex; flex-direction: column; gap: 8px; }
|
||||
.drawer-actions { margin-top: 24px; }
|
||||
</style>
|
||||
48
packages/content-engine/examples/generate-post.ts
Normal file
48
packages/content-engine/examples/generate-post.ts
Normal file
@@ -0,0 +1,48 @@
|
||||
import { ContentGenerator } from "../src/index";
|
||||
import dotenv from "dotenv";
|
||||
import path from "path";
|
||||
import fs from "fs";
|
||||
|
||||
// Load .env from mintel.me (since that's where the key is)
|
||||
dotenv.config({
|
||||
path: path.resolve(__dirname, "../../../../mintel.me/apps/web/.env"),
|
||||
});
|
||||
|
||||
async function main() {
|
||||
const apiKey = process.env.OPENROUTER_API_KEY || process.env.OPENROUTER_KEY;
|
||||
if (!apiKey) {
|
||||
console.error("❌ OPENROUTER_API_KEY not found");
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
const generator = new ContentGenerator(apiKey);
|
||||
|
||||
const topic = "Why traditional CMSs are dead for developers";
|
||||
console.log(`🚀 Generating post for: "${topic}"`);
|
||||
|
||||
try {
|
||||
const post = await generator.generatePost({
|
||||
topic,
|
||||
includeResearch: true,
|
||||
includeDiagrams: true,
|
||||
includeMemes: true,
|
||||
});
|
||||
|
||||
console.log("\n\n✅ GENERATION COMPLETE");
|
||||
console.log("--------------------------------------------------");
|
||||
console.log(`Title: ${post.title}`);
|
||||
console.log(`Research Points: ${post.research.length}`);
|
||||
console.log(`Memes Generated: ${post.memes.length}`);
|
||||
console.log(`Diagrams Generated: ${post.diagrams.length}`);
|
||||
console.log("--------------------------------------------------");
|
||||
|
||||
// Save to file
|
||||
const outputPath = path.join(__dirname, "output.md");
|
||||
fs.writeFileSync(outputPath, post.content);
|
||||
console.log(`📄 Saved output to: ${outputPath}`);
|
||||
} catch (error) {
|
||||
console.error("❌ Generation failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
main();
|
||||
58
packages/content-engine/examples/optimize-post.ts
Normal file
58
packages/content-engine/examples/optimize-post.ts
Normal file
@@ -0,0 +1,58 @@
|
||||
import { ContentGenerator } from "../src/index";
|
||||
import dotenv from "dotenv";
|
||||
import path from "path";
|
||||
import fs from "fs";
|
||||
import { fileURLToPath } from "url";
|
||||
|
||||
// Fix __dirname for ESM
|
||||
const __filename = fileURLToPath(import.meta.url);
|
||||
const __dirname = path.dirname(__filename);
|
||||
|
||||
// Load .env from mintel.me (since that's where the key is)
|
||||
dotenv.config({
|
||||
path: path.resolve(__dirname, "../../../../mintel.me/apps/web/.env"),
|
||||
});
|
||||
|
||||
async function main() {
|
||||
const apiKey = process.env.OPENROUTER_API_KEY || process.env.OPENROUTER_KEY;
|
||||
if (!apiKey) {
|
||||
console.error("❌ OPENROUTER_API_KEY not found");
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
const generator = new ContentGenerator(apiKey);
|
||||
|
||||
const draftContent = `# The Case for Static Sites
|
||||
|
||||
Static sites are faster and more secure. They don't have a database to hack.
|
||||
They are also cheaper to host. You can use a CDN to serve them globally.
|
||||
Dynamic sites are complex and prone to errors.`;
|
||||
|
||||
console.log("📄 Original Content:");
|
||||
console.log(draftContent);
|
||||
console.log("\n🚀 Optimizing content...\n");
|
||||
|
||||
try {
|
||||
const post = await generator.optimizePost(draftContent, {
|
||||
enhanceFacts: true,
|
||||
addDiagrams: true,
|
||||
addMemes: true,
|
||||
});
|
||||
|
||||
console.log("\n\n✅ OPTIMIZATION COMPLETE");
|
||||
console.log("--------------------------------------------------");
|
||||
console.log(`Research Points Added: ${post.research.length}`);
|
||||
console.log(`Memes Generated: ${post.memes.length}`);
|
||||
console.log(`Diagrams Generated: ${post.diagrams.length}`);
|
||||
console.log("--------------------------------------------------");
|
||||
|
||||
// Save to file
|
||||
const outputPath = path.join(__dirname, "optimized.md");
|
||||
fs.writeFileSync(outputPath, post.content);
|
||||
console.log(`📄 Saved output to: ${outputPath}`);
|
||||
} catch (error) {
|
||||
console.error("❌ Optimization failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
main();
|
||||
132
packages/content-engine/examples/optimize-vendor-lockin.ts
Normal file
132
packages/content-engine/examples/optimize-vendor-lockin.ts
Normal file
@@ -0,0 +1,132 @@
|
||||
import { ContentGenerator, ComponentDefinition } from "../src/index";
|
||||
import dotenv from "dotenv";
|
||||
import path from "path";
|
||||
import fs from "fs";
|
||||
import { fileURLToPath } from "url";
|
||||
|
||||
// Fix __dirname for ESM
|
||||
const __filename = fileURLToPath(import.meta.url);
|
||||
const __dirname = path.dirname(__filename);
|
||||
|
||||
// Load .env from mintel.me
|
||||
dotenv.config({
|
||||
path: path.resolve(__dirname, "../../../../mintel.me/apps/web/.env"),
|
||||
});
|
||||
|
||||
async function main() {
|
||||
const apiKey = process.env.OPENROUTER_API_KEY || process.env.OPENROUTER_KEY;
|
||||
if (!apiKey) {
|
||||
console.error("❌ OPENROUTER_API_KEY not found");
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
const generator = new ContentGenerator(apiKey);
|
||||
|
||||
const contentToOptimize = `
|
||||
"Wir können nicht wechseln, das wäre zu teuer."
|
||||
In meiner Arbeit als Digital Architect ist das der Anfang vom Ende jeder technologischen Innovation.
|
||||
Vendor Lock-In ist die digitale Version einer Geiselnahme.
|
||||
Ich zeige Ihnen, wie wir Systeme bauen, die Ihnen jederzeit die volle Freiheit lassen – technologisch und wirtschaftlich.
|
||||
|
||||
Die unsichtbaren Ketten proprietärer Systeme
|
||||
Viele Unternehmen lassen sich von der Bequemlichkeit großer SaaS-Plattformen oder Baukästen blenden.
|
||||
Man bekommt ein schnelles Feature, gibt aber dafür die Kontrolle über seine Daten und seine Codebasis ab.
|
||||
Nach zwei Jahren sind Sie so tief im Ökosystem eines Anbieters verstrickt, dass ein Auszug unmöglich scheint.
|
||||
Der Anbieter weiß das – und diktiert fortan die Preise und das Tempo Ihrer Entwicklung.
|
||||
Ich nenne das technologische Erpressbarkeit.
|
||||
Wahre Unabhängigkeit beginnt bei der strategischen Wahl der Architektur.
|
||||
|
||||
Technologische Souveränität als Asset
|
||||
Software sollte für Sie arbeiten, nicht umgekehrt.
|
||||
Indem wir auf offene Standards und portable Architekturen setzen, verwandeln wir Code in ein echtes Firmen-Asset.
|
||||
Sie können den Cloud-Anbieter wechseln, die Agentur tauschen oder das Team skalieren – ohne jemals bei Null anfangen zu müssen.
|
||||
Das ist das Privileg der technologischen Elite.
|
||||
Portabilität ist kein technisches Gimmick, sondern eine unternehmerische Notwendigkeit.
|
||||
|
||||
Meine Architektur der Ungebundenheit
|
||||
Ich baue keine "Käfige" aus fertigen Plugins.
|
||||
Mein Framework basiert auf Modularität und Klarheit.
|
||||
|
||||
Standard-basiertes Engineering: Wir nutzen Technologien, die weltweit verstanden werden. Keine geheimen "Spezial-Module" eines einzelnen Anbieters.
|
||||
Daten-Portabilität: Ihre Daten gehören Ihnen. Zu jeder Zeit. Wir bauen Schnittstellen, die den Export so einfach machen wie den Import.
|
||||
Cloud-agnostisches Hosting: Wir nutzen Container-Technologie. Ob AWS, Azure oder lokale Anbieter – Ihr Code läuft überall gleich perfekt.
|
||||
|
||||
Der strategische Hebel für langfristige Rendite
|
||||
Systeme ohne Lock-In altern besser.
|
||||
Sie lassen sich schrittweise modernisieren, statt alle fünf Jahre komplett neu gebaut werden zu müssen.
|
||||
Das spart Millionen an Opportunitätskosten und Fehl-Investitionen.
|
||||
Seien Sie der Herr über Ihr digitales Schicksal.
|
||||
Investieren Sie in intelligente Unabhängigkeit.
|
||||
|
||||
Für wen ich 'Freiheits-Systeme' erstelle
|
||||
Ich arbeite für Gründer, die ihr Unternehmen langfristig wertvoll aufstellen wollen.
|
||||
Ist digitale Exzellenz Teil Ihrer Exit-Strategie oder Ihres Erbes? Dann brauchen Sie meine Architektur.
|
||||
Ich baue keine Provisorien, sondern nachhaltige Werte.
|
||||
|
||||
Fazit: Freiheit ist eine Wahl
|
||||
Technologie sollte Ihnen Flügel verleihen, keine Fesseln anlegen.
|
||||
Lassen Sie uns gemeinsam ein System schaffen, das so flexibel ist wie Ihr Business.
|
||||
Werden Sie unersetzbar durch Qualität, nicht durch Abhängigkeit. Ihr Erfolg verdient absolute Freiheit.
|
||||
`;
|
||||
|
||||
// Define components available in mintel.me
|
||||
const availableComponents: ComponentDefinition[] = [
|
||||
{
|
||||
name: "LeadParagraph",
|
||||
description: "Large, introductory text for the beginning of the article.",
|
||||
usageExample: "<LeadParagraph>First meaningful sentence.</LeadParagraph>",
|
||||
},
|
||||
{
|
||||
name: "H2",
|
||||
description: "Section heading.",
|
||||
usageExample: "<H2>Section Title</H2>",
|
||||
},
|
||||
{
|
||||
name: "H3",
|
||||
description: "Subsection heading.",
|
||||
usageExample: "<H3>Subtitle</H3>",
|
||||
},
|
||||
{
|
||||
name: "Paragraph",
|
||||
description: "Standard body text paragraph.",
|
||||
usageExample: "<Paragraph>Some text...</Paragraph>",
|
||||
},
|
||||
{
|
||||
name: "ArticleBlockquote",
|
||||
description: "A prominent quote block for key insights.",
|
||||
usageExample: "<ArticleBlockquote>Important quote</ArticleBlockquote>",
|
||||
},
|
||||
{
|
||||
name: "Marker",
|
||||
description: "Yellow highlighter effect for very important phrases.",
|
||||
usageExample: "<Marker>Highlighted Text</Marker>",
|
||||
},
|
||||
{
|
||||
name: "ComparisonRow",
|
||||
description: "A component comparing a negative vs positive scenario.",
|
||||
usageExample:
|
||||
'<ComparisonRow description="Cost Comparison" negativeLabel="Lock-In" negativeText="High costs" positiveLabel="Open" positiveText="Control" />',
|
||||
},
|
||||
];
|
||||
|
||||
console.log('🚀 Optimizing "Vendor Lock-In" post...');
|
||||
|
||||
try {
|
||||
const post = await generator.optimizePost(contentToOptimize, {
|
||||
enhanceFacts: true,
|
||||
addDiagrams: true,
|
||||
addMemes: true,
|
||||
availableComponents,
|
||||
});
|
||||
|
||||
console.log("\n\n✅ OPTIMIZATION COMPLETE");
|
||||
// Save to a file in the package dir
|
||||
const outputPath = path.join(__dirname, "VendorLockIn_OPTIMIZED.md");
|
||||
fs.writeFileSync(outputPath, post.content);
|
||||
console.log(`📄 Saved output to: ${outputPath}`);
|
||||
} catch (error) {
|
||||
console.error("❌ Optimization failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
main();
|
||||
71
packages/content-engine/examples/optimize-with-components.ts
Normal file
71
packages/content-engine/examples/optimize-with-components.ts
Normal file
@@ -0,0 +1,71 @@
|
||||
import { ContentGenerator, ComponentDefinition } from "../src/index";
|
||||
import dotenv from "dotenv";
|
||||
import path from "path";
|
||||
import fs from "fs";
|
||||
import { fileURLToPath } from "url";
|
||||
|
||||
// Fix __dirname for ESM
|
||||
const __filename = fileURLToPath(import.meta.url);
|
||||
const __dirname = path.dirname(__filename);
|
||||
|
||||
// Load .env from mintel.me (since that's where the key is)
|
||||
dotenv.config({
|
||||
path: path.resolve(__dirname, "../../../../mintel.me/apps/web/.env"),
|
||||
});
|
||||
|
||||
async function main() {
|
||||
const apiKey = process.env.OPENROUTER_API_KEY || process.env.OPENROUTER_KEY;
|
||||
if (!apiKey) {
|
||||
console.error("❌ OPENROUTER_API_KEY not found");
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
const generator = new ContentGenerator(apiKey);
|
||||
|
||||
const draftContent = `# Improving User Retention
|
||||
|
||||
User retention is key. You need to keep users engaged.
|
||||
Offer them value and they will stay.
|
||||
If they have questions, they should contact support.`;
|
||||
|
||||
const availableComponents: ComponentDefinition[] = [
|
||||
{
|
||||
name: "InfoCard",
|
||||
description: "A colored box to highlight important tips or warnings.",
|
||||
usageExample:
|
||||
'<InfoCard variant="warning" title="Pro Tip">Always measure retention.</InfoCard>',
|
||||
},
|
||||
{
|
||||
name: "CallToAction",
|
||||
description: "A prominent button for conversion.",
|
||||
usageExample: '<CallToAction href="/contact">Get in Touch</CallToAction>',
|
||||
},
|
||||
];
|
||||
|
||||
console.log("📄 Original Content:");
|
||||
console.log(draftContent);
|
||||
console.log("\n🚀 Optimizing content with components...\n");
|
||||
|
||||
try {
|
||||
const post = await generator.optimizePost(draftContent, {
|
||||
enhanceFacts: true,
|
||||
addDiagrams: false, // Skip diagrams for this test to focus on components
|
||||
addMemes: false,
|
||||
availableComponents,
|
||||
});
|
||||
|
||||
console.log("\n\n✅ OPTIMIZATION COMPLETE");
|
||||
console.log("--------------------------------------------------");
|
||||
console.log(post.content);
|
||||
console.log("--------------------------------------------------");
|
||||
|
||||
// Save to file
|
||||
const outputPath = path.join(__dirname, "optimized-components.md");
|
||||
fs.writeFileSync(outputPath, post.content);
|
||||
console.log(`📄 Saved output to: ${outputPath}`);
|
||||
} catch (error) {
|
||||
console.error("❌ Optimization failed:", error);
|
||||
}
|
||||
}
|
||||
|
||||
main();
|
||||
34
packages/content-engine/package.json
Normal file
34
packages/content-engine/package.json
Normal file
@@ -0,0 +1,34 @@
|
||||
{
|
||||
"name": "@mintel/content-engine",
|
||||
"version": "1.8.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"main": "./dist/index.js",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": {
|
||||
".": {
|
||||
"types": "./dist/index.d.ts",
|
||||
"import": "./dist/index.js"
|
||||
}
|
||||
},
|
||||
"scripts": {
|
||||
"build": "tsup src/index.ts --format esm --dts --clean",
|
||||
"dev": "tsup src/index.ts --format esm --watch --dts",
|
||||
"lint": "eslint src"
|
||||
},
|
||||
"dependencies": {
|
||||
"@mintel/journaling": "workspace:*",
|
||||
"@mintel/meme-generator": "workspace:*",
|
||||
"@mintel/thumbnail-generator": "workspace:*",
|
||||
"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",
|
||||
"typescript": "^5.0.0"
|
||||
}
|
||||
}
|
||||
990
packages/content-engine/src/generator.ts
Normal file
990
packages/content-engine/src/generator.ts
Normal file
@@ -0,0 +1,990 @@
|
||||
import OpenAI from "openai";
|
||||
import { ResearchAgent, type Fact, type SocialPost } from "@mintel/journaling";
|
||||
import { MemeGenerator, MemeSuggestion } from "@mintel/meme-generator";
|
||||
import * as fs from "node:fs/promises";
|
||||
import * as path from "node:path";
|
||||
|
||||
export interface ComponentDefinition {
|
||||
name: string;
|
||||
description: string;
|
||||
usageExample: string;
|
||||
}
|
||||
|
||||
export interface BlogPostOptions {
|
||||
topic: string;
|
||||
tone?: string;
|
||||
targetAudience?: string;
|
||||
includeMemes?: boolean;
|
||||
includeDiagrams?: boolean;
|
||||
includeResearch?: boolean;
|
||||
availableComponents?: ComponentDefinition[];
|
||||
}
|
||||
|
||||
export interface OptimizationOptions {
|
||||
enhanceFacts?: boolean;
|
||||
addMemes?: boolean;
|
||||
addDiagrams?: boolean;
|
||||
availableComponents?: ComponentDefinition[];
|
||||
projectContext?: string;
|
||||
/** Target audience description for all AI prompts */
|
||||
targetAudience?: string;
|
||||
/** Tone/persona description for all AI prompts */
|
||||
tone?: string;
|
||||
/** Prompt for DALL-E 3 style generation */
|
||||
memeStylePrompt?: string;
|
||||
/** Path to the docs folder (e.g. apps/web/docs) for full persona/tone context */
|
||||
docsPath?: string;
|
||||
}
|
||||
|
||||
export interface GeneratedPost {
|
||||
title: string;
|
||||
content: string;
|
||||
research: Fact[];
|
||||
memes: MemeSuggestion[];
|
||||
diagrams: string[];
|
||||
}
|
||||
|
||||
interface Insertion {
|
||||
afterSection: number;
|
||||
content: string;
|
||||
}
|
||||
|
||||
// Model configuration: specialized models for different tasks
|
||||
const MODELS = {
|
||||
// Structured JSON output, research planning, diagram models: {
|
||||
STRUCTURED: "google/gemini-2.5-flash",
|
||||
ROUTING: "google/gemini-2.5-flash",
|
||||
CONTENT: "google/gemini-2.5-pro",
|
||||
// Mermaid diagram generation - User requested Pro
|
||||
DIAGRAM: "google/gemini-2.5-pro",
|
||||
} as const;
|
||||
|
||||
/** Strip markdown fences that some models wrap around JSON despite response_format */
|
||||
function safeParseJSON(raw: string, fallback: any = {}): any {
|
||||
let cleaned = raw.trim();
|
||||
// Remove ```json ... ``` or ``` ... ``` wrapping
|
||||
if (cleaned.startsWith("```")) {
|
||||
cleaned = cleaned
|
||||
.replace(/^```(?:json)?\s*\n?/, "")
|
||||
.replace(/\n?```\s*$/, "");
|
||||
}
|
||||
try {
|
||||
return JSON.parse(cleaned);
|
||||
} catch (e) {
|
||||
console.warn(
|
||||
"⚠️ Failed to parse JSON response, using fallback:",
|
||||
(e as Error).message,
|
||||
);
|
||||
return fallback;
|
||||
}
|
||||
}
|
||||
|
||||
export class ContentGenerator {
|
||||
private openai: OpenAI;
|
||||
private researchAgent: ResearchAgent;
|
||||
private memeGenerator: MemeGenerator;
|
||||
|
||||
constructor(apiKey: string) {
|
||||
this.openai = new OpenAI({
|
||||
apiKey,
|
||||
baseURL: "https://openrouter.ai/api/v1",
|
||||
defaultHeaders: {
|
||||
"HTTP-Referer": "https://mintel.me",
|
||||
"X-Title": "Mintel Content Engine",
|
||||
},
|
||||
});
|
||||
this.researchAgent = new ResearchAgent(apiKey);
|
||||
this.memeGenerator = new MemeGenerator(apiKey);
|
||||
}
|
||||
|
||||
// =========================================================================
|
||||
// generatePost — for new posts (unchanged from original)
|
||||
// =========================================================================
|
||||
async generatePost(options: BlogPostOptions): Promise<GeneratedPost> {
|
||||
const {
|
||||
topic,
|
||||
tone = "professional yet witty",
|
||||
includeResearch = true,
|
||||
availableComponents = [],
|
||||
} = options;
|
||||
console.log(`🚀 Starting content generation for: "${topic}"`);
|
||||
|
||||
let facts: Fact[] = [];
|
||||
if (includeResearch) {
|
||||
console.log("📚 Gathering research...");
|
||||
facts = await this.researchAgent.researchTopic(topic);
|
||||
}
|
||||
|
||||
console.log("📝 Creating outline...");
|
||||
const outline = await this.createOutline(topic, facts, tone);
|
||||
|
||||
console.log("✍️ Drafting content...");
|
||||
let content = await this.draftContent(
|
||||
topic,
|
||||
outline,
|
||||
facts,
|
||||
tone,
|
||||
availableComponents,
|
||||
);
|
||||
|
||||
const diagrams: string[] = [];
|
||||
if (options.includeDiagrams) {
|
||||
content = await this.processDiagramPlaceholders(content, diagrams);
|
||||
}
|
||||
|
||||
const memes: MemeSuggestion[] = [];
|
||||
if (options.includeMemes) {
|
||||
const memeIdeas = await this.memeGenerator.generateMemeIdeas(
|
||||
content.slice(0, 4000),
|
||||
);
|
||||
memes.push(...memeIdeas);
|
||||
}
|
||||
|
||||
return { title: outline.title, content, research: facts, memes, diagrams };
|
||||
}
|
||||
|
||||
// =========================================================================
|
||||
// generateTldr — Creates a TL;DR block for the given content
|
||||
// =========================================================================
|
||||
async generateTldr(content: string): Promise<string> {
|
||||
const context = content.slice(0, 3000);
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: MODELS.CONTENT,
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `Du bist ein kompromissloser Digital Architect.
|
||||
Erstelle ein "TL;DR" für diesen Artikel.
|
||||
|
||||
REGELN:
|
||||
- 3 knackige Bulletpoints
|
||||
- TON: Sarkastisch, direkt, provokant ("Finger in die Wunde")
|
||||
- Fokussiere auf den wirtschaftlichen Schaden von schlechter Tech
|
||||
- Formatiere als MDX-Komponente:
|
||||
<div className="my-8 p-6 bg-slate-50 border-l-4 border-blue-600 rounded-r-xl">
|
||||
<H3>TL;DR: Warum Ihr Geld verbrennt</H3>
|
||||
<ul className="list-disc pl-5 space-y-2 mb-0">
|
||||
<li>Punkt 1</li>
|
||||
<li>Punkt 2</li>
|
||||
<li>Punkt 3</li>
|
||||
</ul>
|
||||
</div>`,
|
||||
},
|
||||
{
|
||||
role: "user",
|
||||
content: context,
|
||||
},
|
||||
],
|
||||
});
|
||||
return response.choices[0].message.content?.trim() ?? "";
|
||||
}
|
||||
|
||||
// =========================================================================
|
||||
// optimizePost — ADDITIVE architecture (never rewrites original content)
|
||||
// =========================================================================
|
||||
async optimizePost(
|
||||
content: string,
|
||||
options: OptimizationOptions,
|
||||
): Promise<GeneratedPost> {
|
||||
console.log("🚀 Optimizing existing content (additive mode)...");
|
||||
|
||||
// Load docs context if provided
|
||||
let docsContext = "";
|
||||
if (options.docsPath) {
|
||||
docsContext = await this.loadDocsContext(options.docsPath);
|
||||
console.log(`📖 Loaded ${docsContext.length} chars of docs context`);
|
||||
}
|
||||
|
||||
const fullContext = [options.projectContext || "", docsContext]
|
||||
.filter(Boolean)
|
||||
.join("\n\n---\n\n");
|
||||
|
||||
// Split content into numbered sections for programmatic insertion
|
||||
const sections = this.splitIntoSections(content);
|
||||
console.log(`📋 Content has ${sections.length} sections`);
|
||||
|
||||
const insertions: Insertion[] = [];
|
||||
const facts: Fact[] = [];
|
||||
const diagrams: string[] = [];
|
||||
const memes: MemeSuggestion[] = [];
|
||||
|
||||
// Build a numbered content map for LLM reference (read-only)
|
||||
const sectionMap = this.buildSectionMap(sections);
|
||||
|
||||
// ----- STEP 1: Research -----
|
||||
if (options.enhanceFacts) {
|
||||
console.log("🔍 Identifying research topics...");
|
||||
const researchTopics = await this.identifyResearchTopics(
|
||||
content,
|
||||
fullContext,
|
||||
);
|
||||
console.log(`📚 Researching: ${researchTopics.join(", ")}`);
|
||||
|
||||
for (const topic of researchTopics) {
|
||||
const topicFacts = await this.researchAgent.researchTopic(topic);
|
||||
facts.push(...topicFacts);
|
||||
}
|
||||
|
||||
if (facts.length > 0) {
|
||||
console.log(`📝 Planning fact insertions for ${facts.length} facts...`);
|
||||
const factInsertions = await this.planFactInsertions(
|
||||
sectionMap,
|
||||
sections,
|
||||
facts,
|
||||
fullContext,
|
||||
);
|
||||
insertions.push(...factInsertions);
|
||||
console.log(` → ${factInsertions.length} fact enrichments planned`);
|
||||
}
|
||||
|
||||
// ----- STEP 1.5: Social Media Extraction (no LLM — regex only) -----
|
||||
console.log("📱 Extracting existing social media embeds...");
|
||||
const socialPosts = this.researchAgent.extractSocialPosts(content);
|
||||
|
||||
// If none exist, fetch real ones via Serper API
|
||||
if (socialPosts.length === 0) {
|
||||
console.log(
|
||||
" → None found. Fetching real social posts via Serper API...",
|
||||
);
|
||||
const newPosts = await this.researchAgent.fetchRealSocialPosts(
|
||||
content.slice(0, 500),
|
||||
);
|
||||
socialPosts.push(...newPosts);
|
||||
}
|
||||
|
||||
if (socialPosts.length > 0) {
|
||||
console.log(
|
||||
`📝 Planning placement for ${socialPosts.length} social media posts...`,
|
||||
);
|
||||
const socialInsertions = await this.planSocialMediaInsertions(
|
||||
sectionMap,
|
||||
sections,
|
||||
socialPosts,
|
||||
fullContext,
|
||||
);
|
||||
insertions.push(...socialInsertions);
|
||||
console.log(
|
||||
` → ${socialInsertions.length} social embeddings planned`,
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
// ----- STEP 2: Component suggestions -----
|
||||
if (options.availableComponents && options.availableComponents.length > 0) {
|
||||
console.log("🧩 Planning component additions...");
|
||||
const componentInsertions = await this.planComponentInsertions(
|
||||
sectionMap,
|
||||
sections,
|
||||
options.availableComponents,
|
||||
fullContext,
|
||||
);
|
||||
insertions.push(...componentInsertions);
|
||||
console.log(
|
||||
` → ${componentInsertions.length} component additions planned`,
|
||||
);
|
||||
}
|
||||
|
||||
// ----- STEP 3: Diagram generation -----
|
||||
if (options.addDiagrams) {
|
||||
console.log("📊 Planning diagrams...");
|
||||
const diagramPlans = await this.planDiagramInsertions(
|
||||
sectionMap,
|
||||
sections,
|
||||
fullContext,
|
||||
);
|
||||
|
||||
for (const plan of diagramPlans) {
|
||||
const mermaidCode = await this.generateMermaid(plan.concept);
|
||||
if (!mermaidCode) {
|
||||
console.warn(` ⏭️ Skipping invalid diagram for: "${plan.concept}"`);
|
||||
continue;
|
||||
}
|
||||
diagrams.push(mermaidCode);
|
||||
const diagramId = plan.concept
|
||||
.toLowerCase()
|
||||
.replace(/\s+/g, "-")
|
||||
.replace(/[^a-z0-9-]/g, "")
|
||||
.slice(0, 40);
|
||||
insertions.push({
|
||||
afterSection: plan.afterSection,
|
||||
content: `<div className="my-8">\n <Mermaid id="${diagramId}" title="${plan.concept}" showShare={true}>\n${mermaidCode}\n </Mermaid>\n</div>`,
|
||||
});
|
||||
}
|
||||
console.log(
|
||||
` → ${diagramPlans.length} diagrams planned, ${diagrams.length} valid`,
|
||||
);
|
||||
}
|
||||
|
||||
// ----- STEP 4: Meme placement (memegen.link via ArticleMeme) -----
|
||||
if (options.addMemes) {
|
||||
console.log("✨ Generating meme ideas...");
|
||||
let memeIdeas = await this.memeGenerator.generateMemeIdeas(
|
||||
content.slice(0, 4000),
|
||||
);
|
||||
|
||||
// User requested to explicitly limit memes to max 1 per page to prevent duplication
|
||||
if (memeIdeas.length > 1) {
|
||||
memeIdeas = [memeIdeas[0]];
|
||||
}
|
||||
|
||||
memes.push(...memeIdeas);
|
||||
|
||||
if (memeIdeas.length > 0) {
|
||||
console.log(
|
||||
`🎨 Planning meme placement for ${memeIdeas.length} memes...`,
|
||||
);
|
||||
const memePlacements = await this.planMemePlacements(
|
||||
sectionMap,
|
||||
sections,
|
||||
memeIdeas,
|
||||
);
|
||||
|
||||
for (let i = 0; i < memeIdeas.length; i++) {
|
||||
const meme = memeIdeas[i];
|
||||
if (
|
||||
memePlacements[i] !== undefined &&
|
||||
memePlacements[i] >= 0 &&
|
||||
memePlacements[i] < sections.length
|
||||
) {
|
||||
const captionsStr = meme.captions.join("|");
|
||||
insertions.push({
|
||||
afterSection: memePlacements[i],
|
||||
content: `<div className="my-8">\n <ArticleMeme template="${meme.template}" captions="${captionsStr}" />\n</div>`,
|
||||
});
|
||||
}
|
||||
}
|
||||
console.log(` → ${memeIdeas.length} memes placed`);
|
||||
}
|
||||
}
|
||||
|
||||
// ----- Enforce visual spacing (no consecutive visualizations) -----
|
||||
this.enforceVisualSpacing(insertions, sections);
|
||||
|
||||
// ----- Apply all insertions to original content -----
|
||||
console.log(
|
||||
`\n🔧 Applying ${insertions.length} insertions to original content...`,
|
||||
);
|
||||
let optimizedContent = this.applyInsertions(sections, insertions);
|
||||
|
||||
// ----- FINAL AGENTIC REWRITE (Replaces dumb regex scripts) -----
|
||||
console.log(
|
||||
`\n🧠 Agentic Rewrite: Polishing MDX, fixing syntax, and deduplicating...`,
|
||||
);
|
||||
const finalRewrite = await this.openai.chat.completions.create({
|
||||
model: MODELS.CONTENT,
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `You are an expert MDX Editor. Your task is to take a draft blog post and output the FINAL, error-free MDX code.
|
||||
|
||||
CRITICAL RULES:
|
||||
1. DEDUPLICATION: Ensure there is MAX ONE <ArticleMeme> in the entire post. Remove any duplicates or outdated memes. Ensure there is MAX ONE TL;DR section. Ensure there are no duplicate components.
|
||||
2. TEXT-TO-COMPONENT RATIO: Ensure there are at least 3-4 paragraphs of normal text between any two visual components (<Mermaid>, <ArticleMeme>, <StatsGrid>, <BoldNumber>, etc.). If they are clumped together, spread them out or delete the less important ones.
|
||||
3. SYNTAX: Fix any broken Mermaid/MDX syntax (e.g. unclosed tags, bad quotes).
|
||||
4. FIDELITY: Preserve the author's original German text, meaning, and tone. Smooth out transitions into the components.
|
||||
5. NO HALLUCINATION: Do not invent new URLs or facts. Keep the data provided in the draft.
|
||||
6. OUTPUT: Return ONLY the raw MDX content. No markdown code blocks (\`\`\`mdx), no preamble. Just the raw code file.`,
|
||||
},
|
||||
{
|
||||
role: "user",
|
||||
content: optimizedContent,
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
optimizedContent =
|
||||
finalRewrite.choices[0].message.content?.trim() || optimizedContent;
|
||||
|
||||
// Strip any residual markdown formatting fences just in case
|
||||
if (optimizedContent.startsWith("```")) {
|
||||
optimizedContent = optimizedContent
|
||||
.replace(/^```[a-zA-Z]*\n/, "")
|
||||
.replace(/\n```$/, "");
|
||||
}
|
||||
|
||||
return {
|
||||
title: "Optimized Content",
|
||||
content: optimizedContent,
|
||||
research: facts,
|
||||
memes,
|
||||
diagrams,
|
||||
};
|
||||
}
|
||||
|
||||
// =========================================================================
|
||||
// ADDITIVE HELPERS — these return JSON instructions, never rewrite content
|
||||
// =========================================================================
|
||||
|
||||
private splitIntoSections(content: string): string[] {
|
||||
// Split on double newlines (paragraph/block boundaries in MDX)
|
||||
return content.split(/\n\n+/);
|
||||
}
|
||||
|
||||
private applyInsertions(sections: string[], insertions: Insertion[]): string {
|
||||
// Sort by section index DESCENDING to avoid index shifting
|
||||
const sorted = [...insertions].sort(
|
||||
(a, b) => b.afterSection - a.afterSection,
|
||||
);
|
||||
const result = [...sections];
|
||||
for (const ins of sorted) {
|
||||
const idx = Math.min(ins.afterSection + 1, result.length);
|
||||
result.splice(idx, 0, ins.content);
|
||||
}
|
||||
return result.join("\n\n");
|
||||
}
|
||||
|
||||
/**
|
||||
* Enforce visual spacing: visual components must have at least 2 text sections between them.
|
||||
* This prevents walls of visualizations and maintains reading flow.
|
||||
*/
|
||||
private enforceVisualSpacing(
|
||||
insertions: Insertion[],
|
||||
sections: string[],
|
||||
): void {
|
||||
const visualPatterns = [
|
||||
"<Mermaid",
|
||||
"<ArticleMeme",
|
||||
"<StatsGrid",
|
||||
"<StatsDisplay",
|
||||
"<BoldNumber",
|
||||
"<MetricBar",
|
||||
"<ComparisonRow",
|
||||
"<PremiumComparisonChart",
|
||||
"<DiagramFlow",
|
||||
"<DiagramPie",
|
||||
"<DiagramGantt",
|
||||
"<DiagramState",
|
||||
"<DiagramSequence",
|
||||
"<DiagramTimeline",
|
||||
"<Carousel",
|
||||
"<WebVitalsScore",
|
||||
"<WaterfallChart",
|
||||
];
|
||||
const isVisual = (content: string) =>
|
||||
visualPatterns.some((p) => content.includes(p));
|
||||
|
||||
// Sort by section ascending
|
||||
insertions.sort((a, b) => a.afterSection - b.afterSection);
|
||||
|
||||
// Minimum gap of 10 sections between visual components (= ~6-8 text paragraphs)
|
||||
// User requested a better text-to-component ratio (not 1:1)
|
||||
const MIN_VISUAL_GAP = 10;
|
||||
|
||||
for (let i = 1; i < insertions.length; i++) {
|
||||
if (
|
||||
isVisual(insertions[i].content) &&
|
||||
isVisual(insertions[i - 1].content)
|
||||
) {
|
||||
const gap = insertions[i].afterSection - insertions[i - 1].afterSection;
|
||||
if (gap < MIN_VISUAL_GAP) {
|
||||
const newPos = Math.min(
|
||||
insertions[i - 1].afterSection + MIN_VISUAL_GAP,
|
||||
sections.length - 1,
|
||||
);
|
||||
insertions[i].afterSection = newPos;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
private buildSectionMap(sections: string[]): string {
|
||||
return sections
|
||||
.map((s, i) => {
|
||||
const preview = s.trim().replace(/\n/g, " ").slice(0, 120);
|
||||
return `[${i}] ${preview}${s.length > 120 ? "…" : ""}`;
|
||||
})
|
||||
.join("\n");
|
||||
}
|
||||
|
||||
private async loadDocsContext(docsPath: string): Promise<string> {
|
||||
try {
|
||||
const files = await fs.readdir(docsPath);
|
||||
const mdFiles = files.filter((f) => f.endsWith(".md")).sort();
|
||||
const contents: string[] = [];
|
||||
|
||||
for (const file of mdFiles) {
|
||||
const filePath = path.join(docsPath, file);
|
||||
const text = await fs.readFile(filePath, "utf8");
|
||||
contents.push(`=== ${file} ===\n${text.trim()}`);
|
||||
}
|
||||
|
||||
return contents.join("\n\n");
|
||||
} catch (e) {
|
||||
console.warn(`⚠️ Could not load docs from ${docsPath}: ${e}`);
|
||||
return "";
|
||||
}
|
||||
}
|
||||
|
||||
// --- Fact insertion planning (Claude Sonnet — precise content understanding) ---
|
||||
private async planFactInsertions(
|
||||
sectionMap: string,
|
||||
sections: string[],
|
||||
facts: Fact[],
|
||||
context: string,
|
||||
): Promise<Insertion[]> {
|
||||
const factsText = facts
|
||||
.map((f, i) => `${i + 1}. ${f.statement} [Source: ${f.source}]`)
|
||||
.join("\n");
|
||||
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: MODELS.CONTENT,
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `You enrich a German blog post by ADDING new paragraphs with researched facts.
|
||||
|
||||
RULES:
|
||||
- Do NOT rewrite or modify any existing content
|
||||
- Only produce NEW <Paragraph> blocks to INSERT after a specific section number
|
||||
- Maximum 5 insertions (only the most impactful facts)
|
||||
- Match the post's tone and style (see context below)
|
||||
- Use the post's JSX components: <Paragraph>, <Marker> for emphasis
|
||||
- Cite sources using ExternalLink: <ExternalLink href="URL">Source: Name</ExternalLink>
|
||||
- Write in German, active voice, Ich-Form where appropriate
|
||||
|
||||
CONTEXT (tone, style, persona):
|
||||
${context.slice(0, 3000)}
|
||||
|
||||
EXISTING SECTIONS (read-only — do NOT modify these):
|
||||
${sectionMap}
|
||||
|
||||
FACTS TO INTEGRATE:
|
||||
${factsText}
|
||||
|
||||
Return JSON:
|
||||
{ "insertions": [{ "afterSection": 3, "content": "<Paragraph>\\n Fact-enriched paragraph text. [Source: Name]\\n</Paragraph>" }] }
|
||||
Return ONLY the JSON.`,
|
||||
},
|
||||
],
|
||||
response_format: { type: "json_object" },
|
||||
});
|
||||
|
||||
const result = safeParseJSON(
|
||||
response.choices[0].message.content || '{"insertions": []}',
|
||||
{ insertions: [] },
|
||||
);
|
||||
return (result.insertions || []).filter(
|
||||
(i: any) =>
|
||||
typeof i.afterSection === "number" &&
|
||||
i.afterSection >= 0 &&
|
||||
i.afterSection < sections.length &&
|
||||
typeof i.content === "string",
|
||||
);
|
||||
}
|
||||
|
||||
// --- Social Media insertion planning ---
|
||||
private async planSocialMediaInsertions(
|
||||
sectionMap: string,
|
||||
sections: string[],
|
||||
posts: SocialPost[],
|
||||
context: string,
|
||||
): Promise<Insertion[]> {
|
||||
if (!posts || posts.length === 0) return [];
|
||||
|
||||
const postsText = posts
|
||||
.map(
|
||||
(p, i) =>
|
||||
`[${i}] Platform: ${p.platform}, ID: ${p.embedId} (${p.description})`,
|
||||
)
|
||||
.join("\n");
|
||||
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: MODELS.CONTENT,
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `You enhance a German blog post by embedding relevant social media posts (YouTube, Twitter, LinkedIn).
|
||||
|
||||
RULES:
|
||||
- Do NOT rewrite any existing content
|
||||
- Return exactly 1 or 2 high-impact insertions
|
||||
- Choose the best fitting post(s) from the provided list
|
||||
- Use the correct component based on the platform:
|
||||
- youtube -> <YouTubeEmbed videoId="ID" />
|
||||
- twitter -> <TwitterEmbed tweetId="ID" theme="light" />
|
||||
- linkedin -> <LinkedInEmbed urn="ID" />
|
||||
- Add a 1-sentence intro paragraph above the embed to contextualize it naturally in the flow of the text (e.g. "Wie Experte XY im folgenden Video detailliert erklärt:"). This context is MANDATORY. Do not just drop the Component without text reference.
|
||||
|
||||
CONTEXT:
|
||||
${context.slice(0, 3000)}
|
||||
|
||||
SOCIAL POSTS AVAILABLE TO EMBED:
|
||||
${postsText}
|
||||
|
||||
EXISTING SECTIONS:
|
||||
${sectionMap}
|
||||
|
||||
Return JSON:
|
||||
{ "insertions": [{ "afterSection": 4, "content": "<Paragraph>Wie Experten passend bemerken:</Paragraph>\\n\\n<TwitterEmbed tweetId=\\"123456\\" theme=\\"light\\" />" }] }
|
||||
Return ONLY the JSON.`,
|
||||
},
|
||||
],
|
||||
response_format: { type: "json_object" },
|
||||
});
|
||||
|
||||
const result = safeParseJSON(
|
||||
response.choices[0].message.content || '{"insertions": []}',
|
||||
{ insertions: [] },
|
||||
);
|
||||
return (result.insertions || []).filter(
|
||||
(i: any) =>
|
||||
typeof i.afterSection === "number" &&
|
||||
i.afterSection >= 0 &&
|
||||
i.afterSection < sections.length &&
|
||||
typeof i.content === "string",
|
||||
);
|
||||
}
|
||||
|
||||
// --- Component insertion planning (Claude Sonnet — understands JSX context) ---
|
||||
private async planComponentInsertions(
|
||||
sectionMap: string,
|
||||
sections: string[],
|
||||
components: ComponentDefinition[],
|
||||
context: string,
|
||||
): Promise<Insertion[]> {
|
||||
const fullContent = sections.join("\n\n");
|
||||
const componentsText = components
|
||||
.map((c) => `<${c.name}>: ${c.description}\n Example: ${c.usageExample}`)
|
||||
.join("\n\n");
|
||||
const usedComponents = components
|
||||
.filter((c) => fullContent.includes(`<${c.name}`))
|
||||
.map((c) => c.name);
|
||||
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: MODELS.CONTENT,
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `You enhance a German blog post by ADDING interactive UI components.
|
||||
|
||||
STRICT BALANCE RULES:
|
||||
- Maximum 3–4 component additions total
|
||||
- There MUST be at least 3–4 text paragraphs between any two visual components
|
||||
- Visual components MUST NEVER appear directly after each other
|
||||
- Each unique component type should only appear ONCE (e.g., only one WebVitalsScore, one WaterfallChart)
|
||||
- Multiple MetricBar or ComparisonRow in sequence are OK (they form a group)
|
||||
|
||||
CONTENT RULES:
|
||||
- Do NOT rewrite any existing content — only ADD new component blocks
|
||||
- Do NOT add components already present: ${usedComponents.join(", ") || "none"}
|
||||
- Statistics MUST have comparison context (before/after, competitor vs us) — never standalone numbers
|
||||
- All BoldNumber components MUST include source and sourceUrl props
|
||||
- All ArticleQuote components MUST include source and sourceUrl; add "(übersetzt)" if translated
|
||||
- MetricBar value must be a real number > 0, not placeholder zeros
|
||||
- Carousel items array must have at least 2 items with substantive content
|
||||
- Use exact JSX syntax from the examples
|
||||
|
||||
CONTEXT:
|
||||
${context.slice(0, 3000)}
|
||||
|
||||
EXISTING SECTIONS (read-only):
|
||||
${sectionMap}
|
||||
|
||||
AVAILABLE COMPONENTS:
|
||||
${componentsText}
|
||||
|
||||
Return JSON:
|
||||
{ "insertions": [{ "afterSection": 5, "content": "<StatsDisplay value=\\"100\\" label=\\"PageSpeed Score\\" subtext=\\"Kein Kompromiss.\\" />" }] }
|
||||
Return ONLY the JSON.`,
|
||||
},
|
||||
],
|
||||
response_format: { type: "json_object" },
|
||||
});
|
||||
|
||||
const result = safeParseJSON(
|
||||
response.choices[0].message.content || '{"insertions": []}',
|
||||
{ insertions: [] },
|
||||
);
|
||||
return (result.insertions || []).filter(
|
||||
(i: any) =>
|
||||
typeof i.afterSection === "number" &&
|
||||
i.afterSection >= 0 &&
|
||||
i.afterSection < sections.length &&
|
||||
typeof i.content === "string",
|
||||
);
|
||||
}
|
||||
|
||||
// --- Diagram planning (Gemini Flash — structured output) ---
|
||||
private async planDiagramInsertions(
|
||||
sectionMap: string,
|
||||
sections: string[],
|
||||
context: string,
|
||||
): Promise<{ afterSection: number; concept: string }[]> {
|
||||
const fullContent = sections.join("\n\n");
|
||||
const hasDiagrams =
|
||||
fullContent.includes("<Mermaid") || fullContent.includes("<Diagram");
|
||||
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: MODELS.STRUCTURED,
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `Analyze this German blog post and suggest 1-2 Mermaid diagrams.
|
||||
${hasDiagrams ? "The post already has diagrams. Only suggest NEW concepts not already visualized." : ""}
|
||||
${context.slice(0, 1500)}
|
||||
|
||||
SECTIONS:
|
||||
${sectionMap}
|
||||
|
||||
Return JSON:
|
||||
{ "diagrams": [{ "afterSection": 5, "concept": "Descriptive concept name" }] }
|
||||
Maximum 2 diagrams. Return ONLY the JSON.`,
|
||||
},
|
||||
],
|
||||
response_format: { type: "json_object" },
|
||||
});
|
||||
|
||||
const result = safeParseJSON(
|
||||
response.choices[0].message.content || '{"diagrams": []}',
|
||||
{ diagrams: [] },
|
||||
);
|
||||
return (result.diagrams || []).filter(
|
||||
(d: any) =>
|
||||
typeof d.afterSection === "number" &&
|
||||
d.afterSection >= 0 &&
|
||||
d.afterSection < sections.length,
|
||||
);
|
||||
}
|
||||
|
||||
// --- Meme placement planning (Gemini Flash — structural positioning) ---
|
||||
private async planMemePlacements(
|
||||
sectionMap: string,
|
||||
sections: string[],
|
||||
memes: MemeSuggestion[],
|
||||
): Promise<number[]> {
|
||||
const memesText = memes
|
||||
.map((m, i) => `${i}: "${m.template}" — ${m.captions.join(" / ")}`)
|
||||
.join("\n");
|
||||
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: MODELS.STRUCTURED,
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `Place ${memes.length} memes at appropriate positions in this blog post.
|
||||
Rules: Space them out evenly, place between thematic sections, never at position 0 (the very start).
|
||||
|
||||
SECTIONS:
|
||||
${sectionMap}
|
||||
|
||||
MEMES:
|
||||
${memesText}
|
||||
|
||||
Return JSON: { "placements": [sectionNumber, sectionNumber, ...] }
|
||||
One section number per meme, in the same order as the memes list. Return ONLY JSON.`,
|
||||
},
|
||||
],
|
||||
response_format: { type: "json_object" },
|
||||
});
|
||||
|
||||
const result = safeParseJSON(
|
||||
response.choices[0].message.content || '{"placements": []}',
|
||||
{ placements: [] },
|
||||
);
|
||||
return result.placements || [];
|
||||
}
|
||||
|
||||
// =========================================================================
|
||||
// SHARED HELPERS
|
||||
// =========================================================================
|
||||
|
||||
private async createOutline(
|
||||
topic: string,
|
||||
facts: Fact[],
|
||||
tone: string,
|
||||
): Promise<{ title: string; sections: string[] }> {
|
||||
const factsContext = facts
|
||||
.map((f) => `- ${f.statement} (${f.source})`)
|
||||
.join("\n");
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: MODELS.STRUCTURED,
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `Create a blog post outline on "${topic}".
|
||||
Tone: ${tone}.
|
||||
Incorporating these facts:
|
||||
${factsContext}
|
||||
|
||||
Return JSON: { "title": "Catchy Title", "sections": ["Introduction", "Section 1", "Conclusion"] }
|
||||
Return ONLY the JSON.`,
|
||||
},
|
||||
],
|
||||
response_format: { type: "json_object" },
|
||||
});
|
||||
return safeParseJSON(
|
||||
response.choices[0].message.content || '{"title": "", "sections": []}',
|
||||
{ title: "", sections: [] },
|
||||
);
|
||||
}
|
||||
|
||||
private async draftContent(
|
||||
topic: string,
|
||||
outline: { title: string; sections: string[] },
|
||||
facts: Fact[],
|
||||
tone: string,
|
||||
components: ComponentDefinition[],
|
||||
): Promise<string> {
|
||||
const factsContext = facts
|
||||
.map((f) => `- ${f.statement} (Source: ${f.source})`)
|
||||
.join("\n");
|
||||
const componentsContext =
|
||||
components.length > 0
|
||||
? `\n\nAvailable Components:\n` +
|
||||
components
|
||||
.map(
|
||||
(c) =>
|
||||
`- <${c.name}>: ${c.description}\n Example: ${c.usageExample}`,
|
||||
)
|
||||
.join("\n")
|
||||
: "";
|
||||
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: MODELS.CONTENT,
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `Write a blog post based on this outline:
|
||||
Title: ${outline.title}
|
||||
Sections: ${outline.sections.join(", ")}
|
||||
|
||||
Tone: ${tone}.
|
||||
Facts: ${factsContext}
|
||||
${componentsContext}
|
||||
|
||||
BLOG POST BEST PRACTICES (MANDATORY):
|
||||
- DEVIL'S ADVOCATE: Füge zwingend eine kurze kritische Sektion ein (z.B. mit \`<ComparisonRow>\` oder \`<IconList>\`), in der du offen die Nachteile/Kosten/Haken deiner eigenen Lösung ansprichst ("Der Haken an der Sache...").
|
||||
- FAQ GENERATOR: Am absoluten Ende des Artikels erstellst du zwingend eine Markdown-Liste mit den 3 wichtigsten Fragen (FAQ) und Antworten (jeweils 2 Sätze) für Google Rich Snippets.
|
||||
- Nutze wo passend die obigen React-Komponenten für ein hochwertiges Layout.
|
||||
|
||||
Format as Markdown. Start with # H1.
|
||||
For places where a diagram would help, insert: <!-- DIAGRAM_PLACEHOLDER: Concept Name -->
|
||||
Return ONLY raw content.`,
|
||||
},
|
||||
],
|
||||
});
|
||||
return response.choices[0].message.content || "";
|
||||
}
|
||||
|
||||
private async processDiagramPlaceholders(
|
||||
content: string,
|
||||
diagrams: string[],
|
||||
): Promise<string> {
|
||||
const matches = content.matchAll(/<!-- DIAGRAM_PLACEHOLDER: (.+?) -->/g);
|
||||
let processedContent = content;
|
||||
|
||||
for (const match of Array.from(matches)) {
|
||||
const concept = match[1];
|
||||
const diagram = await this.generateMermaid(concept);
|
||||
diagrams.push(diagram);
|
||||
const diagramId = concept
|
||||
.toLowerCase()
|
||||
.replace(/\s+/g, "-")
|
||||
.replace(/[^a-z0-9-]/g, "")
|
||||
.slice(0, 40);
|
||||
const mermaidJsx = `\n<div className="my-8">\n <Mermaid id="${diagramId}" title="${concept}" showShare={true}>\n${diagram}\n </Mermaid>\n</div>\n`;
|
||||
processedContent = processedContent.replace(
|
||||
`<!-- DIAGRAM_PLACEHOLDER: ${concept} -->`,
|
||||
mermaidJsx,
|
||||
);
|
||||
}
|
||||
return processedContent;
|
||||
}
|
||||
|
||||
private async generateMermaid(concept: string): Promise<string> {
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: MODELS.DIAGRAM,
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `Generate a Mermaid.js diagram for: "${concept}".
|
||||
|
||||
RULES:
|
||||
- Use clear labels in German where appropriate
|
||||
- Keep it EXTREMELY SIMPLE AND COMPACT: strictly max 3-4 nodes for a tiny visual footprint.
|
||||
- Prefer vertical layouts (TD) over horizontal (LR) to prevent wide overflowing graphs.
|
||||
- CRITICAL: Generate ONLY ONE single connected graph. Do NOT generate multiple independent graphs or isolated subgraphs in the same Mermaid block.
|
||||
- No nested subgraphs. Keep instructions short.
|
||||
- Use double-quoted labels for nodes: A["Label"]
|
||||
- VERY CRITICAL: DO NOT use curly braces '{}' or brackets '[]' inside labels unless they are wrapped in double quotes (e.g. A["Text {with braces}"]).
|
||||
- VERY CRITICAL: DO NOT use any HTML tags (no <br>, no <br/>, no <b>, etc).
|
||||
- VERY CRITICAL: DO NOT use special characters like '&', '<', '>', or double-quotes inside the label strings. They break the mermaid parser in our environment.
|
||||
- Return ONLY the raw mermaid code. No markdown blocks, no backticks.
|
||||
- The first line MUST be a valid mermaid diagram type: graph, flowchart, sequenceDiagram, pie, gantt, stateDiagram, timeline`,
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
const code =
|
||||
response.choices[0].message.content
|
||||
?.replace(/```mermaid/g, "")
|
||||
.replace(/```/g, "")
|
||||
.trim() || "";
|
||||
|
||||
// Validate: must start with a valid mermaid keyword
|
||||
const validStarts = [
|
||||
"graph",
|
||||
"flowchart",
|
||||
"sequenceDiagram",
|
||||
"pie",
|
||||
"gantt",
|
||||
"stateDiagram",
|
||||
"timeline",
|
||||
"classDiagram",
|
||||
"erDiagram",
|
||||
];
|
||||
const firstLine = code.split("\n")[0]?.trim().toLowerCase() || "";
|
||||
const isValid = validStarts.some((keyword) =>
|
||||
firstLine.startsWith(keyword),
|
||||
);
|
||||
|
||||
if (!isValid || code.length < 10) {
|
||||
console.warn(
|
||||
`⚠️ Mermaid: Invalid diagram generated for "${concept}", skipping`,
|
||||
);
|
||||
return "";
|
||||
}
|
||||
|
||||
return code;
|
||||
}
|
||||
|
||||
private async identifyResearchTopics(
|
||||
content: string,
|
||||
context: string,
|
||||
): Promise<string[]> {
|
||||
try {
|
||||
console.log("Sending request to OpenRouter...");
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: MODELS.STRUCTURED,
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `Analyze the following blog post and identify 3 key topics or claims that would benefit from statistical data or external verification.
|
||||
Return relevant, specific research queries (not too broad).
|
||||
|
||||
Context: ${context.slice(0, 1500)}
|
||||
|
||||
Return JSON: { "topics": ["topic 1", "topic 2", "topic 3"] }
|
||||
Return ONLY the JSON.`,
|
||||
},
|
||||
{
|
||||
role: "user",
|
||||
content: content.slice(0, 4000),
|
||||
},
|
||||
],
|
||||
response_format: { type: "json_object" },
|
||||
});
|
||||
console.log("Got response from OpenRouter");
|
||||
const parsed = safeParseJSON(
|
||||
response.choices[0].message.content || '{"topics": []}',
|
||||
{ topics: [] },
|
||||
);
|
||||
return (parsed.topics || []).map((t: any) =>
|
||||
typeof t === "string" ? t : JSON.stringify(t),
|
||||
);
|
||||
} catch (e: any) {
|
||||
console.error("Error in identifyResearchTopics:", e);
|
||||
throw e;
|
||||
}
|
||||
}
|
||||
}
|
||||
2
packages/content-engine/src/index.ts
Normal file
2
packages/content-engine/src/index.ts
Normal file
@@ -0,0 +1,2 @@
|
||||
export * from "./generator";
|
||||
export * from "./orchestrator";
|
||||
661
packages/content-engine/src/orchestrator.ts
Normal file
661
packages/content-engine/src/orchestrator.ts
Normal file
@@ -0,0 +1,661 @@
|
||||
import OpenAI from "openai";
|
||||
import { ResearchAgent, type Fact, type SocialPost } from "@mintel/journaling";
|
||||
import { ThumbnailGenerator } from "@mintel/thumbnail-generator";
|
||||
import { ComponentDefinition } from "./generator";
|
||||
import * as fs from "node:fs/promises";
|
||||
import * as path from "node:path";
|
||||
|
||||
export interface OrchestratorConfig {
|
||||
apiKey: string;
|
||||
replicateApiKey?: string;
|
||||
model?: string;
|
||||
}
|
||||
|
||||
export interface OptimizationTask {
|
||||
content: string;
|
||||
projectContext: string;
|
||||
availableComponents?: ComponentDefinition[];
|
||||
instructions?: string;
|
||||
internalLinks?: { title: string; slug: string }[];
|
||||
}
|
||||
|
||||
export interface OptimizeFileOptions {
|
||||
contextDir: string;
|
||||
availableComponents?: ComponentDefinition[];
|
||||
shouldRename?: boolean;
|
||||
}
|
||||
|
||||
export class AiBlogPostOrchestrator {
|
||||
private openai: OpenAI;
|
||||
private researchAgent: ResearchAgent;
|
||||
private thumbnailGenerator?: ThumbnailGenerator;
|
||||
private model: string;
|
||||
|
||||
constructor(config: OrchestratorConfig) {
|
||||
this.model = config.model || "google/gemini-3-flash-preview";
|
||||
this.openai = new OpenAI({
|
||||
apiKey: config.apiKey,
|
||||
baseURL: "https://openrouter.ai/api/v1",
|
||||
defaultHeaders: {
|
||||
"HTTP-Referer": "https://mintel.me",
|
||||
"X-Title": "Mintel AI Blog Post Orchestrator",
|
||||
},
|
||||
});
|
||||
this.researchAgent = new ResearchAgent(config.apiKey);
|
||||
if (config.replicateApiKey) {
|
||||
this.thumbnailGenerator = new ThumbnailGenerator({
|
||||
replicateApiKey: config.replicateApiKey,
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Reusable context loader. Loads all .md and .txt files from a directory into a single string.
|
||||
*/
|
||||
async loadContext(dirPath: string): Promise<string> {
|
||||
try {
|
||||
const resolvedDir = path.resolve(process.cwd(), dirPath);
|
||||
const files = await fs.readdir(resolvedDir);
|
||||
const textFiles = files.filter((f) => /\.(md|txt)$/i.test(f)).sort();
|
||||
const contents: string[] = [];
|
||||
|
||||
for (const file of textFiles) {
|
||||
const filePath = path.join(resolvedDir, file);
|
||||
const text = await fs.readFile(filePath, "utf8");
|
||||
contents.push(`=== ${file} ===\n${text.trim()}`);
|
||||
}
|
||||
|
||||
return contents.join("\n\n");
|
||||
} catch (e) {
|
||||
console.warn(`⚠️ Could not load context from ${dirPath}: ${e}`);
|
||||
return "";
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Reads a file, extracts frontmatter, loads context, optimizes body, and writes it back.
|
||||
*/
|
||||
async optimizeFile(
|
||||
targetFile: string,
|
||||
options: OptimizeFileOptions,
|
||||
): Promise<void> {
|
||||
const absPath = path.isAbsolute(targetFile)
|
||||
? targetFile
|
||||
: path.resolve(process.cwd(), targetFile);
|
||||
console.log(`📄 Processing File: ${path.basename(absPath)}`);
|
||||
|
||||
const content = await fs.readFile(absPath, "utf8");
|
||||
|
||||
// Idea 4: We no longer split frontmatter and body. We pass the whole file
|
||||
// to the LLM so it can optimize the SEO title and description.
|
||||
|
||||
// Idea 1: Build Internal Link Graph
|
||||
const blogDir = path.dirname(absPath);
|
||||
const internalLinks = await this.buildInternalLinkGraph(
|
||||
blogDir,
|
||||
path.basename(absPath),
|
||||
);
|
||||
|
||||
console.log(`📖 Loading context from: ${options.contextDir}`);
|
||||
const projectContext = await this.loadContext(options.contextDir);
|
||||
if (!projectContext) {
|
||||
console.warn(
|
||||
"⚠️ No project context loaded. AI might miss specific guidelines.",
|
||||
);
|
||||
}
|
||||
|
||||
const optimizedContent = await this.optimizeDocument({
|
||||
content: content,
|
||||
projectContext,
|
||||
availableComponents: options.availableComponents,
|
||||
internalLinks: internalLinks, // pass to orchestrator
|
||||
});
|
||||
|
||||
// Idea 4b: Extract the potentially updated title to rename the file (SEO Slug)
|
||||
const newFmMatch = optimizedContent.match(/^---\s*\n([\s\S]*?)\n---/);
|
||||
let finalPath = absPath;
|
||||
let finalSlug = path.basename(absPath, ".mdx");
|
||||
|
||||
if (options.shouldRename && newFmMatch && newFmMatch[1]) {
|
||||
const titleMatch = newFmMatch[1].match(/title:\s*["']([^"']+)["']/);
|
||||
if (titleMatch && titleMatch[1]) {
|
||||
const newTitle = titleMatch[1];
|
||||
// Generate SEO Slug
|
||||
finalSlug = newTitle
|
||||
.toLowerCase()
|
||||
.replace(/ä/g, "ae")
|
||||
.replace(/ö/g, "oe")
|
||||
.replace(/ü/g, "ue")
|
||||
.replace(/ß/g, "ss")
|
||||
.replace(/[^a-z0-9]+/g, "-")
|
||||
.replace(/^-+|-+$/g, "");
|
||||
|
||||
const newAbsPath = path.join(path.dirname(absPath), `${finalSlug}.mdx`);
|
||||
if (newAbsPath !== absPath) {
|
||||
console.log(
|
||||
`🔄 SEO Title changed! Renaming file to: ${finalSlug}.mdx`,
|
||||
);
|
||||
// Delete old file if the title changed significantly
|
||||
try {
|
||||
await fs.unlink(absPath);
|
||||
} catch (_err) {
|
||||
// ignore
|
||||
}
|
||||
finalPath = newAbsPath;
|
||||
}
|
||||
}
|
||||
} else if (newFmMatch && newFmMatch[1]) {
|
||||
console.log(
|
||||
`ℹ️ Rename skipped (permalink stability active). If you want to rename, use --rename.`,
|
||||
);
|
||||
}
|
||||
|
||||
// Idea 5: Automatic Thumbnails
|
||||
let finalContent = optimizedContent;
|
||||
|
||||
// Skip if thumbnail already exists in frontmatter
|
||||
const hasExistingThumbnail = /thumbnail:\s*["'][^"']+["']/.test(
|
||||
finalContent,
|
||||
);
|
||||
|
||||
if (this.thumbnailGenerator && !hasExistingThumbnail) {
|
||||
console.log("🎨 Phase 5: Generating/Linking visual thumbnail...");
|
||||
try {
|
||||
const webPublicDir = path.resolve(process.cwd(), "apps/web/public");
|
||||
const thumbnailRelPath = `/blog/${finalSlug}.png`;
|
||||
const thumbnailAbsPath = path.join(
|
||||
webPublicDir,
|
||||
"blog",
|
||||
`${finalSlug}.png`,
|
||||
);
|
||||
|
||||
// Check if the physical file already exists
|
||||
let physicalFileExists = false;
|
||||
try {
|
||||
await fs.access(thumbnailAbsPath);
|
||||
physicalFileExists = true;
|
||||
} catch (_err) {
|
||||
// File does not exist
|
||||
}
|
||||
|
||||
if (physicalFileExists) {
|
||||
console.log(
|
||||
`⏭️ Thumbnail already exists on disk, skipping generation: ${thumbnailAbsPath}`,
|
||||
);
|
||||
} else {
|
||||
const visualPrompt = await this.generateVisualPrompt(finalContent);
|
||||
await this.thumbnailGenerator.generateImage(
|
||||
visualPrompt,
|
||||
thumbnailAbsPath,
|
||||
);
|
||||
}
|
||||
|
||||
// Update frontmatter with thumbnail
|
||||
if (finalContent.includes("thumbnail:")) {
|
||||
finalContent = finalContent.replace(
|
||||
/thumbnail:\s*["'].*?["']/,
|
||||
`thumbnail: "${thumbnailRelPath}"`,
|
||||
);
|
||||
} else {
|
||||
finalContent = finalContent.replace(
|
||||
/(title:\s*["'].*?["'])/,
|
||||
`$1\nthumbnail: "${thumbnailRelPath}"`,
|
||||
);
|
||||
}
|
||||
} catch (e) {
|
||||
console.warn("⚠️ Thumbnail processing failed, skipping:", e);
|
||||
}
|
||||
}
|
||||
|
||||
await fs.writeFile(finalPath, finalContent);
|
||||
console.log(`✅ Saved optimized file to: ${finalPath}`);
|
||||
}
|
||||
|
||||
private async generateVisualPrompt(content: string): Promise<string> {
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: this.model,
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `You are a Visual Discovery Agent for an architectural design system.
|
||||
Review the provided blog post and create a 1-sentence abstract visual description for an image generator (like Flux).
|
||||
|
||||
THEME: Technical blueprint / structural illustration.
|
||||
STYLE: Clean lines, geometric shapes, monochrome base with one highlighter accent color (green, pink, or yellow).
|
||||
NO TEXT. NO PEOPLE. NO REALISTIC PHOTOS.
|
||||
FOCUS: The core metaphor or technical concept of the article.
|
||||
|
||||
Example output: "A complex network of glowing fiber optic nodes forming a recursive pyramid structure, technical blue lineart style."`,
|
||||
},
|
||||
{ role: "user", content: content.slice(0, 5000) },
|
||||
],
|
||||
max_tokens: 100,
|
||||
});
|
||||
return (
|
||||
response.choices[0].message.content ||
|
||||
"Technical architectural blueprint of a digital system"
|
||||
);
|
||||
}
|
||||
|
||||
private async buildInternalLinkGraph(
|
||||
blogDir: string,
|
||||
currentFile: string,
|
||||
): Promise<{ title: string; slug: string }[]> {
|
||||
try {
|
||||
const files = await fs.readdir(blogDir);
|
||||
const mdxFiles = files.filter(
|
||||
(f) => f.endsWith(".mdx") && f !== currentFile,
|
||||
);
|
||||
const graph: { title: string; slug: string }[] = [];
|
||||
|
||||
for (const file of mdxFiles) {
|
||||
const fileContent = await fs.readFile(path.join(blogDir, file), "utf8");
|
||||
const titleMatch = fileContent.match(/title:\s*["']([^"']+)["']/);
|
||||
if (titleMatch && titleMatch[1]) {
|
||||
graph.push({
|
||||
title: titleMatch[1],
|
||||
slug: `/blog/${file.replace(".mdx", "")}`,
|
||||
});
|
||||
}
|
||||
}
|
||||
return graph;
|
||||
} catch (e) {
|
||||
console.warn("Could not build internal link graph", e);
|
||||
return [];
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Executes the 3-step optimization pipeline:
|
||||
* 1. Fakten recherchieren
|
||||
* 2. Bestehende Social Posts extrahieren (kein LLM — nur Regex)
|
||||
* 3. AI anweisen daraus Artikel zu erstellen
|
||||
*/
|
||||
async optimizeDocument(task: OptimizationTask): Promise<string> {
|
||||
console.log(`🚀 Starting AI Orchestration Pipeline (${this.model})...`);
|
||||
|
||||
// 1. Fakten & Konkurrenz recherchieren
|
||||
console.log("1️⃣ Recherchiere Fakten und analysiere Konkurrenz...");
|
||||
const researchTopics = await this.identifyTopics(task.content);
|
||||
const facts: Fact[] = [];
|
||||
const competitorInsights: string[] = [];
|
||||
|
||||
// Paralellize competitor research and fact research
|
||||
await Promise.all(
|
||||
researchTopics.map(async (topic) => {
|
||||
const [topicFacts, insights] = await Promise.all([
|
||||
this.researchAgent.researchTopic(topic),
|
||||
this.researchAgent.researchCompetitors(topic),
|
||||
]);
|
||||
facts.push(...topicFacts);
|
||||
competitorInsights.push(...insights);
|
||||
}),
|
||||
);
|
||||
|
||||
// 2. Bestehende Social Posts aus dem Content extrahieren (deterministisch, kein LLM)
|
||||
console.log("2️⃣ Extrahiere bestehende Social Media Embeds aus Content...");
|
||||
const socialPosts = this.researchAgent.extractSocialPosts(task.content);
|
||||
|
||||
// Wenn keine vorhanden sind, besorge echte von der Serper API
|
||||
if (socialPosts.length === 0) {
|
||||
console.log(
|
||||
" → Keine bestehenden Posts gefunden. Suche neue über Serper API...",
|
||||
);
|
||||
const realPosts = await this.researchAgent.fetchRealSocialPosts(
|
||||
task.content.slice(0, 500),
|
||||
);
|
||||
socialPosts.push(...realPosts);
|
||||
}
|
||||
|
||||
// 3. AI anweisen daraus Artikel zu erstellen
|
||||
console.log("3️⃣ Erstelle optimierten Artikel (Agentic Rewrite)...");
|
||||
return await this.compileArticle(
|
||||
task,
|
||||
facts,
|
||||
competitorInsights,
|
||||
socialPosts,
|
||||
task.internalLinks || [],
|
||||
);
|
||||
}
|
||||
|
||||
private async identifyTopics(content: string): Promise<string[]> {
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: "google/gemini-2.5-flash", // fast structured model for topic extraction
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `Analyze the following blog post and identify 1 to 2 key topics or claims that would benefit from statistical data or external verification.
|
||||
Return JSON: { "topics": ["topic 1", "topic 2"] }
|
||||
Return ONLY the JSON.`,
|
||||
},
|
||||
{
|
||||
role: "user",
|
||||
content: content.slice(0, 4000),
|
||||
},
|
||||
],
|
||||
response_format: { type: "json_object" },
|
||||
});
|
||||
|
||||
try {
|
||||
const raw = response.choices[0].message.content || '{"topics": []}';
|
||||
const cleaned = raw
|
||||
.trim()
|
||||
.replace(/^```(?:json)?\s*\n?/, "")
|
||||
.replace(/\n?```\s*$/, "");
|
||||
const parsed = JSON.parse(cleaned);
|
||||
return parsed.topics || [];
|
||||
} catch (e) {
|
||||
console.warn("⚠️ Failed to parse research topics", e);
|
||||
return [];
|
||||
}
|
||||
}
|
||||
|
||||
private async compileArticle(
|
||||
task: OptimizationTask,
|
||||
facts: Fact[],
|
||||
competitorInsights: string[],
|
||||
socialPosts: SocialPost[],
|
||||
internalLinks: { title: string; slug: string }[],
|
||||
retryCount = 0,
|
||||
): Promise<string> {
|
||||
const factsText = facts
|
||||
.map((f, i) => `${i + 1}. ${f.statement} [Source: ${f.source}]`)
|
||||
.join("\n");
|
||||
|
||||
let socialText = `CRITICAL RULE: NO VERIFIED SOCIAL MEDIA POSTS FOUND. You MUST NOT use <YouTubeEmbed />, <TwitterEmbed />, or <LinkedInEmbed /> under ANY circumstances in this article. DO NOT hallucinate IDs.`;
|
||||
|
||||
if (socialPosts.length > 0) {
|
||||
const allowedTags: string[] = [];
|
||||
if (socialPosts.some((p) => p.platform === "youtube"))
|
||||
allowedTags.push('<YouTubeEmbed videoId="..." />');
|
||||
if (socialPosts.some((p) => p.platform === "twitter"))
|
||||
allowedTags.push('<TwitterEmbed tweetId="..." />');
|
||||
if (socialPosts.some((p) => p.platform === "linkedin"))
|
||||
allowedTags.push('<LinkedInEmbed url="..." />');
|
||||
|
||||
socialText = `Social Media Posts to embed (use ONLY these tags, do not use others: ${allowedTags.join(", ")}):\n${socialPosts.map((p) => `Platform: ${p.platform}, ID: ${p.embedId} (${p.description})`).join("\n")}\nCRITICAL: Do not invent any IDs that are not explicitly listed in the list above.`;
|
||||
}
|
||||
|
||||
const componentsText = (task.availableComponents || [])
|
||||
.filter((c) => {
|
||||
if (
|
||||
c.name === "YouTubeEmbed" &&
|
||||
!socialPosts.some((p) => p.platform === "youtube")
|
||||
)
|
||||
return false;
|
||||
if (
|
||||
c.name === "TwitterEmbed" &&
|
||||
!socialPosts.some((p) => p.platform === "twitter")
|
||||
)
|
||||
return false;
|
||||
if (
|
||||
c.name === "LinkedInEmbed" &&
|
||||
!socialPosts.some((p) => p.platform === "linkedin")
|
||||
)
|
||||
return false;
|
||||
return true;
|
||||
})
|
||||
.map((c) => {
|
||||
// Ensure LinkedInEmbed usage example consistently uses 'url'
|
||||
if (c.name === "LinkedInEmbed") {
|
||||
return `<${c.name}>: ${c.description}\n Example: <LinkedInEmbed url="https://www.linkedin.com/posts/..." />`;
|
||||
}
|
||||
return `<${c.name}>: ${c.description}\n Example: ${c.usageExample}`;
|
||||
})
|
||||
.join("\n\n");
|
||||
|
||||
const memeTemplates = [
|
||||
"db", // Distracted Boyfriend
|
||||
"gb", // Galaxy Brain
|
||||
"fine", // This is Fine
|
||||
"ds", // Daily Struggle
|
||||
"gru", // Gru's Plan
|
||||
"cmm", // Change My Mind
|
||||
"astronaut", // Always Has Been (ahb)
|
||||
"disastergirl",
|
||||
"pigeon", // Is this a pigeon?
|
||||
"rollsafe",
|
||||
"slap", // Will Smith
|
||||
"exit", // Left Exit 12
|
||||
"mordor",
|
||||
"panik-kalm-panik",
|
||||
"woman-cat", // Woman yelling at cat
|
||||
"grumpycat",
|
||||
"sadfrog",
|
||||
"stonks",
|
||||
"same", // They're the same picture
|
||||
"spongebob",
|
||||
];
|
||||
const forcedMeme =
|
||||
memeTemplates[Math.floor(Math.random() * memeTemplates.length)];
|
||||
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: this.model,
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `You are an expert MDX Editor and Digital Architect.
|
||||
|
||||
YOUR TASK:
|
||||
Take the given draft blog post and rewrite/enhance it into a final, error-free MDX file. Maintain the author's original German text, meaning, and tone, but enrich it gracefully.
|
||||
|
||||
CONTEXT & RULES:
|
||||
Project Context / Tone:
|
||||
${task.projectContext}
|
||||
|
||||
FACTS TO INTEGRATE:
|
||||
${factsText || "No new facts needed."}
|
||||
|
||||
COMPETITOR BENCHMARK (TOP RANKING ARTICLES):
|
||||
Here are snippets from the top 5 ranking Google articles for this topic. Read them carefully and ensure our article covers these topics but is fundamentally BETTER, deeper, and more authoritative:
|
||||
${competitorInsights.length > 0 ? competitorInsights.join("\n") : "No competitor insights found."}
|
||||
|
||||
AVAILABLE UI COMPONENTS:
|
||||
${componentsText}
|
||||
|
||||
SOCIAL MEDIA POSTS:
|
||||
${socialText}
|
||||
|
||||
INTERNAL LINKING GRAPH:
|
||||
Hier sind unsere existierenden Blog-Posts (Titel und URL-Slug). Finde 2-3 passende Stellen im Text, um organisch mit regulärem Markdown (\`[passender Text]([slug])\`) auf diese Posts zu verlinken. Nutze KEIN <ExternalLink> für B2B-interne Links.
|
||||
${internalLinks.length > 0 ? internalLinks.map((l) => `- "${l.title}" -> ${l.slug}`).join("\n") : "Keine internen Links verfügbar."}
|
||||
|
||||
Special Instructions from User:
|
||||
${task.instructions || "None"}
|
||||
|
||||
BLOG POST BEST PRACTICES (MANDATORY):
|
||||
- DEVIL'S ADVOCATE: Füge zwingend eine kurze kritische Sektion ein (z.B. mit \`<ComparisonRow>\` oder \`<IconList>\`), in der du offen die Nachteile/Kosten/Haken deiner eigenen Lösung ansprichst ("Der Haken an der Sache..."). Das baut Vertrauen bei B2B Entscheidenden auf.
|
||||
- FAQ GENERATOR: Am absoluten Ende des Artikels erstellst du zwingend eine Markdown-Liste mit den 3 wichtigsten Fragen (FAQ) und Antworten (jeweils 2 Sätze) für Google Rich Snippets. Nutze dazu das FAQSection Component oder normales Markdown.
|
||||
- SUBTLE CTAs: Webe 1-2 subtile CTAs für High-End Website Entwicklung ein. Nutze ZWINGEND die Komponente [LeadMagnet] für diese Zwecke anstelle von einfachen Buttons. [LeadMagnet] bietet mehr Kontext und Vertrauen. Beispiel: <LeadMagnet title="Performance-Check anfragen" description="Wir analysieren Ihre Core Web Vitals und decken Umsatzpotenziale auf." buttonText="Jetzt analysieren lassen" href="/contact" variant="performance" />. Die Texte im LeadMagnet müssen absolut überzeugend, hochprofessionell und B2B-fokussiert sein (KEIN Robotik-Marketing-Sprech).
|
||||
- MEME DIVERSITY: Du MUSST ZWINGEND für jedes Meme (sofern passend) abwechslungsreiche Templates nutzen. Um dies zu garantieren, wurde für diesen Artikel das folgende Template ausgewählt: '${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.
|
||||
- ORIGINAL LANGUAGE QUOTES: Übersetze NIEMALS Zitate (z.B. in ArticleQuote). Behalte das Original (z.B. Englisch), wenn du Studien von Deloitte, McKinsey oder Aussagen von CEOs zitierst. Das erhöht die Authentizität im B2B-Mittelstand.
|
||||
- CONTENT PRUNING: Wenn das dir übergebene MDX bereits interaktive Komponenten (z.B. \`<YouTubeEmbed>\`) enthält, die **nicht** oder **nicht mehr** zum inhaltlichen Fokus passen (z.B. irrelevante Videos oder platzhalter-ähnliche Snippets), MUSST du diese radikal **entfernen**. Behalte keine halluzinierten oder unpassenden Medien, nur weil sie schon da waren.
|
||||
|
||||
STRICT MDX OUTPUT RULES:
|
||||
1. ONLY use the exact components defined above.
|
||||
2. For Social Media Embeds, you MUST ONLY use the EXACT IDs provided in the list above. Do NOT invent IDs.
|
||||
3. If ANY verified social media posts are provided, you MUST integrate at least one naturally with a contextual sentence.
|
||||
4. Keep the original content blocks and headings as much as possible, just improve flow.
|
||||
5. FRONTMATTER SEO (Idea 4): Ich übergebe dir die KOMPLETTE Datei inklusive Markdown-Frontmatter (--- ... ---). Du MUSST das Frontmatter ebenfalls zurückgeben! Optimiere darin den \`title\` und die \`description\` maximal für B2B SEO. Lasse die anderen Keys im Frontmatter (date, tags) unangetastet.
|
||||
|
||||
CRITICAL GUIDELINES (NEVER BREAK THESE):
|
||||
1. THE OUTPUT MUST START WITH YAML FRONTMATTER AND END WITH THE MDX BODY.
|
||||
2. DO NOT INCLUDE MARKDOWN WRAPPERS (do not wrap in \`\`\`mdx ... \`\`\`).
|
||||
5. Be clean. Do NOT clump all components together. Provide 3-4 paragraphs of normal text between visual items.
|
||||
6. If you insert components, ensure their syntax is 100% valid JSX/MDX.
|
||||
7. CRITICAL MERMAID RULE: If you use <Mermaid>, the inner content MUST be 100% valid Mermaid.js syntax. NO HTML inside labels. NO quotes inside brackets without valid syntax.
|
||||
8. Do NOT hallucinate links or facts. Use only what is provided.`,
|
||||
},
|
||||
{
|
||||
role: "user",
|
||||
content: task.content,
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
let rawContent = response.choices[0].message.content || task.content;
|
||||
rawContent = this.cleanResponse(rawContent, socialPosts);
|
||||
|
||||
// --- Autonomous Validation Layer ---
|
||||
let hasError = false;
|
||||
let errorFeedback = "";
|
||||
|
||||
// 1. Validate Meme Templates
|
||||
const memeRegex = /<ArticleMeme[^>]+template=["']([^"']+)["'][^>]*>/g;
|
||||
let memeMatch;
|
||||
const invalidMemes: string[] = [];
|
||||
while ((memeMatch = memeRegex.exec(rawContent)) !== null) {
|
||||
if (!memeTemplates.includes(memeMatch[1])) {
|
||||
invalidMemes.push(memeMatch[1]);
|
||||
}
|
||||
}
|
||||
if (invalidMemes.length > 0) {
|
||||
hasError = true;
|
||||
errorFeedback += `\n- You hallucinated invalid meme templates: ${invalidMemes.join(", ")}. You MUST ONLY use templates from this exact list: ${memeTemplates.join(", ")}. DO NOT INVENT TEMPLATES.\n`;
|
||||
}
|
||||
|
||||
// 2. Validate Mermaid Syntax
|
||||
if (rawContent.includes("<Mermaid>")) {
|
||||
console.log("🔍 Validating Mermaid syntax in AI response...");
|
||||
const mermaidBlocks = this.extractMermaidBlocks(rawContent);
|
||||
|
||||
for (const block of mermaidBlocks) {
|
||||
const validationResult = await this.validateMermaidSyntax(block);
|
||||
if (!validationResult.valid) {
|
||||
hasError = true;
|
||||
errorFeedback += `\n- Invalid Mermaid block:\n${block}\nError context: ${validationResult.error}\n`;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (hasError && retryCount < 3) {
|
||||
console.log(
|
||||
`❌ Validation errors detected. Retrying compilation (Attempt ${retryCount + 1}/3)...`,
|
||||
);
|
||||
return this.compileArticle(
|
||||
{
|
||||
...task,
|
||||
content: `CRITICAL ERROR IN PREVIOUS ATTEMPT:\nYour generated MDX contained the following errors that MUST be fixed:\n${errorFeedback}\n\nPlease rewrite the MDX and FIX these errors. Pay strict attention to the rules.\n\nOriginal Draft:\n${task.content}`,
|
||||
},
|
||||
facts,
|
||||
competitorInsights,
|
||||
socialPosts,
|
||||
internalLinks,
|
||||
retryCount + 1,
|
||||
);
|
||||
}
|
||||
|
||||
return rawContent;
|
||||
}
|
||||
|
||||
private extractMermaidBlocks(content: string): string[] {
|
||||
const blocks: string[] = [];
|
||||
// Regex to match <Mermaid>...</Mermaid> blocks across multiple lines
|
||||
const regex = /<Mermaid>([\s\S]*?)<\/Mermaid>/g;
|
||||
let match;
|
||||
while ((match = regex.exec(content)) !== null) {
|
||||
if (match[1]) {
|
||||
blocks.push(match[1].trim());
|
||||
}
|
||||
}
|
||||
return blocks;
|
||||
}
|
||||
|
||||
private async validateMermaidSyntax(
|
||||
graph: string,
|
||||
): Promise<{ valid: boolean; error?: string }> {
|
||||
// Fast LLM validation to catch common syntax errors like unbalanced quotes or HTML entities
|
||||
try {
|
||||
const validationResponse = await this.openai.chat.completions.create({
|
||||
model: "google/gemini-3-flash-preview", // Switch from gpt-4o-mini to user requested model
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content:
|
||||
'You are a strict Mermaid.js compiler. Analyze the given Mermaid syntax. If it is 100% valid and will render without exceptions, reply ONLY with "VALID". If it has syntax errors (e.g., HTML inside labels, unescaped quotes, unclosed brackets), reply ONLY with "INVALID" followed by a short explanation of the exact error.',
|
||||
},
|
||||
{
|
||||
role: "user",
|
||||
content: graph,
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
const reply =
|
||||
validationResponse.choices[0].message.content?.trim() || "VALID";
|
||||
if (reply.startsWith("INVALID")) {
|
||||
return { valid: false, error: reply };
|
||||
}
|
||||
return { valid: true };
|
||||
} catch (e) {
|
||||
console.error("Syntax validation LLM call failed, passing through:", e);
|
||||
return { valid: true }; // Fallback to passing if validator fails
|
||||
}
|
||||
}
|
||||
|
||||
private cleanResponse(content: string, socialPosts: SocialPost[]): string {
|
||||
let cleaned = content.trim();
|
||||
|
||||
// 1. Strip Markdown Wrappers (e.g. ```mdx ... ```)
|
||||
if (cleaned.startsWith("```")) {
|
||||
cleaned = cleaned
|
||||
.replace(/^```[a-zA-Z]*\n?/, "")
|
||||
.replace(/\n?```\s*$/, "");
|
||||
}
|
||||
|
||||
// 2. We NO LONGER strip redundant frontmatter, because we requested the LLM to output it.
|
||||
// Ensure the output actually has frontmatter, if not, something went wrong, but we just pass it along.
|
||||
|
||||
// 3. Strip any social embeds the AI hallucinated (IDs not in our extracted set)
|
||||
const knownYtIds = new Set(
|
||||
socialPosts.filter((p) => p.platform === "youtube").map((p) => p.embedId),
|
||||
);
|
||||
const knownTwIds = new Set(
|
||||
socialPosts.filter((p) => p.platform === "twitter").map((p) => p.embedId),
|
||||
);
|
||||
const knownLiIds = new Set(
|
||||
socialPosts
|
||||
.filter((p) => p.platform === "linkedin")
|
||||
.map((p) => p.embedId),
|
||||
);
|
||||
|
||||
cleaned = cleaned.replace(
|
||||
/<YouTubeEmbed[^>]*videoId="([^"]+)"[^>]*\/>/gi,
|
||||
(tag, id) => {
|
||||
if (knownYtIds.has(id)) return tag;
|
||||
console.log(
|
||||
`🛑 Stripped hallucinated YouTubeEmbed with videoId="${id}"`,
|
||||
);
|
||||
return "";
|
||||
},
|
||||
);
|
||||
|
||||
cleaned = cleaned.replace(
|
||||
/<TwitterEmbed[^>]*tweetId="([^"]+)"[^>]*\/>/gi,
|
||||
(tag, id) => {
|
||||
if (knownTwIds.has(id)) return tag;
|
||||
console.log(
|
||||
`🛑 Stripped hallucinated TwitterEmbed with tweetId="${id}"`,
|
||||
);
|
||||
return "";
|
||||
},
|
||||
);
|
||||
|
||||
cleaned = cleaned.replace(
|
||||
/<LinkedInEmbed[^>]*(?:url|urn)="([^"]+)"[^>]*\/>/gi,
|
||||
(tag, id) => {
|
||||
if (knownLiIds.has(id)) return tag;
|
||||
console.log(`🛑 Stripped hallucinated LinkedInEmbed with id="${id}"`);
|
||||
return "";
|
||||
},
|
||||
);
|
||||
|
||||
return cleaned;
|
||||
}
|
||||
}
|
||||
11
packages/content-engine/tsconfig.json
Normal file
11
packages/content-engine/tsconfig.json
Normal file
@@ -0,0 +1,11 @@
|
||||
{
|
||||
"extends": "@mintel/tsconfig/base.json",
|
||||
"compilerOptions": {
|
||||
"module": "ESNext",
|
||||
"target": "ESNext",
|
||||
"moduleResolution": "Bundler",
|
||||
"allowImportingTsExtensions": true,
|
||||
"noEmit": true
|
||||
},
|
||||
"include": ["src"]
|
||||
}
|
||||
File diff suppressed because one or more lines are too long
@@ -1,8 +1,8 @@
|
||||
{
|
||||
"name": "customer-manager",
|
||||
"description": "Custom High-Fidelity Customer & Company Management for Directus",
|
||||
"icon": "supervisor_account",
|
||||
"version": "1.8.2",
|
||||
"description": "Custom High-Fidelity Management for Directus",
|
||||
"icon": "extension",
|
||||
"version": "1.8.16",
|
||||
"type": "module",
|
||||
"keywords": [
|
||||
"directus",
|
||||
@@ -11,15 +11,18 @@
|
||||
],
|
||||
"directus:extension": {
|
||||
"type": "module",
|
||||
"path": "index.js",
|
||||
"path": "dist/index.js",
|
||||
"source": "src/index.ts",
|
||||
"host": "*",
|
||||
"name": "Customer Manager"
|
||||
"host": "app",
|
||||
"name": "customer manager"
|
||||
},
|
||||
"scripts": {
|
||||
"build": "directus-extension build && cp -f dist/index.js index.js 2>/dev/null || true",
|
||||
"build": "directus-extension build",
|
||||
"dev": "directus-extension build -w"
|
||||
},
|
||||
"dependencies": {
|
||||
"@mintel/directus-extension-toolkit": "workspace:*"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@directus/extensions-sdk": "11.0.2",
|
||||
"vue": "^3.4.0"
|
||||
|
||||
@@ -1,161 +1,196 @@
|
||||
<template>
|
||||
<private-view title="Customer Manager">
|
||||
<MintelManagerLayout
|
||||
title="Customer Manager"
|
||||
:item-title="selectedItem?.company?.name || 'Kunde wählen'"
|
||||
:is-empty="!selectedItem"
|
||||
empty-title="Kunde auswählen"
|
||||
empty-icon="handshake"
|
||||
:notice="notice"
|
||||
@close-notice="notice = null"
|
||||
>
|
||||
<template #navigation>
|
||||
<v-list nav>
|
||||
<v-list-item @click="openCreateCompany" clickable>
|
||||
<v-list-item @click="openCreateDrawer" clickable>
|
||||
<v-list-item-icon><v-icon name="add" color="var(--theme--primary)" /></v-list-item-icon>
|
||||
<v-list-item-content>
|
||||
<v-text-overflow text="Neue Firma anlegen" />
|
||||
<v-text-overflow text="Neuen Kunden verlinken" />
|
||||
</v-list-item-content>
|
||||
</v-list-item>
|
||||
|
||||
<v-divider />
|
||||
|
||||
<v-list-item
|
||||
v-for="company in companies"
|
||||
:key="company.id"
|
||||
:active="selectedCompany?.id === company.id"
|
||||
class="company-item"
|
||||
v-for="item in items"
|
||||
:key="item.id"
|
||||
:active="selectedItem?.id === item.id"
|
||||
class="nav-item"
|
||||
clickable
|
||||
@click="selectCompany(company)"
|
||||
@click="selectItem(item)"
|
||||
>
|
||||
<v-list-item-icon><v-icon name="business" /></v-list-item-icon>
|
||||
<v-list-item-content>
|
||||
<v-text-overflow :text="company.name" />
|
||||
<v-text-overflow :text="item.company?.name" />
|
||||
</v-list-item-content>
|
||||
</v-list-item>
|
||||
</v-list>
|
||||
</template>
|
||||
|
||||
<template #title-outer:after>
|
||||
<v-notice v-if="notice" :type="notice.type" @close="notice = null" dismissible>
|
||||
{{ notice.message }}
|
||||
</v-notice>
|
||||
<template #subtitle>
|
||||
<template v-if="selectedItem">
|
||||
{{ clientUsers.length }} Portal-Nutzer · {{ selectedItem.company?.domain }}
|
||||
</template>
|
||||
</template>
|
||||
|
||||
<div class="content-wrapper">
|
||||
<div v-if="!selectedCompany" class="empty-state">
|
||||
<v-info title="Firmen auswählen" icon="business" center>
|
||||
Wähle eine Firma in der Navigation aus oder
|
||||
<v-button x-small @click="openCreateCompany">erstelle eine neue Firma</v-button>.
|
||||
</v-info>
|
||||
<template #actions>
|
||||
<v-button secondary rounded icon v-tooltip.bottom="'Kunden-Verlinkung bearbeiten'" @click="openEditDrawer">
|
||||
<v-icon name="edit" />
|
||||
</v-button>
|
||||
<div @click="onDebugClick" style="display: inline-block; border: 2px solid lime;">
|
||||
<v-button primary @click="openCreateClientUser">
|
||||
Portal-Nutzer hinzufügen
|
||||
</v-button>
|
||||
</div>
|
||||
<button style="background: red; color: white; padding: 4px 8px; border-radius: 4px; border: none; cursor: pointer; margin-left: 10px;" @click="onDebugClick">DEBUG</button>
|
||||
<button style="background: blue; color: white; padding: 8px 16px; border-radius: 4px; border: none; cursor: pointer; margin-left: 10px;" @click="openCreateClientUser">NATIVE: Portal-Nutzer</button>
|
||||
</template>
|
||||
|
||||
<template v-else>
|
||||
<header class="header">
|
||||
<div class="header-left">
|
||||
<h1 class="title">{{ selectedCompany.name }}</h1>
|
||||
<p class="subtitle">{{ employees.length }} Kunden-Mitarbeiter</p>
|
||||
</div>
|
||||
<div class="header-right">
|
||||
<v-button secondary rounded icon v-tooltip.bottom="'Firma bearbeiten'" @click="openEditCompany">
|
||||
<v-icon name="edit" />
|
||||
</v-button>
|
||||
<v-button primary @click="openCreateEmployee">
|
||||
Mitarbeiter hinzufügen
|
||||
</v-button>
|
||||
</div>
|
||||
</header>
|
||||
<template #empty-state>
|
||||
Wähle einen Kunden aus der Liste oder
|
||||
<v-button x-small @click="openCreateDrawer">verlinke eine neue Firma</v-button>.
|
||||
<button id="debug-click-test" style="background: red; color: white; padding: 4px 8px; border-radius: 4px; border: none; cursor: pointer; margin-left: 10px;" @click="onDebugClick">DEBUG CLICK</button>
|
||||
</template>
|
||||
|
||||
<v-table
|
||||
:headers="tableHeaders"
|
||||
:items="employees"
|
||||
:loading="loading"
|
||||
class="clickable-table"
|
||||
fixed-header
|
||||
@click:row="onRowClick"
|
||||
>
|
||||
<template #[`item.name`]="{ item }">
|
||||
<div class="user-cell">
|
||||
<v-avatar :name="item.first_name" x-small />
|
||||
<span class="user-name">{{ item.first_name }} {{ item.last_name }}</span>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<template #[`item.last_invited`]="{ item }">
|
||||
<span v-if="item.last_invited" class="status-date">
|
||||
{{ formatDate(item.last_invited) }}
|
||||
</span>
|
||||
<v-chip v-else x-small>Noch nie</v-chip>
|
||||
</template>
|
||||
</v-table>
|
||||
</template>
|
||||
</div>
|
||||
|
||||
<!-- Drawer: Company Form -->
|
||||
<v-drawer
|
||||
v-model="drawerCompanyActive"
|
||||
:title="isEditingCompany ? 'Firma bearbeiten' : 'Neue Firma anlegen'"
|
||||
icon="business"
|
||||
@cancel="drawerCompanyActive = false"
|
||||
<!-- Main Content: Client Users Table -->
|
||||
<v-table
|
||||
:headers="tableHeaders"
|
||||
:items="clientUsers"
|
||||
:loading="loading"
|
||||
class="clickable-table"
|
||||
fixed-header
|
||||
@click:row="onRowClick"
|
||||
>
|
||||
<div v-if="drawerCompanyActive" class="drawer-content">
|
||||
<div class="form-section">
|
||||
<div class="field">
|
||||
<span class="label">Firmenname</span>
|
||||
<v-input v-model="companyForm.name" placeholder="z.B. KLZ Cables" autofocus />
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<template #[`item.name`]="{ item }">
|
||||
<div class="user-cell">
|
||||
<v-avatar :name="item.first_name" x-small />
|
||||
<span class="user-name">{{ item.first_name }} {{ item.last_name }}</span>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<template #[`item.last_invited`]="{ item }">
|
||||
<span v-if="item.last_invited" class="status-date">
|
||||
{{ formatDate(item.last_invited) }}
|
||||
</span>
|
||||
<v-chip v-else x-small>Noch nie</v-chip>
|
||||
</template>
|
||||
</v-table>
|
||||
|
||||
<!-- Drawer: Customer (Link) Form -->
|
||||
<v-drawer
|
||||
v-model="drawerActive"
|
||||
:title="isEditing ? 'Kunden-Verlinkung bearbeiten' : 'Kunden verlinken'"
|
||||
icon="handshake"
|
||||
@cancel="drawerActive = false"
|
||||
>
|
||||
<div v-if="drawerActive" class="drawer-content">
|
||||
<div class="form-section">
|
||||
<div class="field">
|
||||
<span class="label">Organisation / Firma</span>
|
||||
<MintelSelect
|
||||
v-model="form.company"
|
||||
:items="companyOptions"
|
||||
placeholder="Firma auswählen..."
|
||||
allow-add
|
||||
@add="openQuickAdd('company')"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div class="field">
|
||||
<span class="label">Haupt-Ansprechpartner (optional)</span>
|
||||
<MintelSelect
|
||||
v-model="form.contact_person"
|
||||
:items="peopleOptions"
|
||||
placeholder="Person auswählen..."
|
||||
allow-add
|
||||
@add="openQuickAdd('person')"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div class="field">
|
||||
<span class="label">Status</span>
|
||||
<v-select
|
||||
v-model="form.status"
|
||||
:items="[
|
||||
{ text: 'Aktiv', value: 'active' },
|
||||
{ text: 'Inaktiv', value: 'inactive' }
|
||||
]"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div class="field">
|
||||
<span class="label">Notizen</span>
|
||||
<v-textarea v-model="form.notes" placeholder="Besonderheiten zu diesem Kunden..." />
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="drawer-actions">
|
||||
<v-button primary block :loading="saving" @click="saveCompany">Speichern</v-button>
|
||||
<v-button primary block :loading="saving" @click="saveItem">Speichern</v-button>
|
||||
</div>
|
||||
</div>
|
||||
</v-drawer>
|
||||
|
||||
<!-- Drawer: Employee Form -->
|
||||
<!-- Drawer: Client User Form -->
|
||||
<v-drawer
|
||||
v-model="drawerEmployeeActive"
|
||||
:title="isEditingEmployee ? 'Mitarbeiter bearbeiten' : 'Neuen Mitarbeiter anlegen'"
|
||||
v-model="drawerUserActive"
|
||||
:title="isEditingUser ? 'Portal-Nutzer bearbeiten' : 'Neuen Portal-Nutzer anlegen'"
|
||||
icon="person"
|
||||
@cancel="drawerEmployeeActive = false"
|
||||
@cancel="drawerUserActive = false"
|
||||
>
|
||||
<div v-if="drawerEmployeeActive" class="drawer-content">
|
||||
<div class="form-section">
|
||||
<div class="field">
|
||||
<span class="label">Vorname</span>
|
||||
<v-input v-model="employeeForm.first_name" placeholder="Vorname" autofocus />
|
||||
</div>
|
||||
<div v-if="drawerUserActive" class="drawer-content">
|
||||
<div class="form-section">
|
||||
<div class="field">
|
||||
<span class="label">Vorname</span>
|
||||
<v-input v-model="userForm.first_name" placeholder="Vorname" autofocus />
|
||||
</div>
|
||||
|
||||
<div class="field">
|
||||
<span class="label">Nachname</span>
|
||||
<v-input v-model="employeeForm.last_name" placeholder="Nachname" />
|
||||
</div>
|
||||
<div class="field">
|
||||
<span class="label">Nachname</span>
|
||||
<v-input v-model="userForm.last_name" placeholder="Nachname" />
|
||||
</div>
|
||||
|
||||
<div class="field">
|
||||
<span class="label">E-Mail</span>
|
||||
<v-input v-model="employeeForm.email" placeholder="E-Mail Adresse" type="email" />
|
||||
</div>
|
||||
<div class="field">
|
||||
<span class="label">E-Mail</span>
|
||||
<v-input v-model="userForm.email" placeholder="E-Mail Adresse" type="email" />
|
||||
</div>
|
||||
|
||||
<div class="field">
|
||||
<span class="label">Zentrale Person (Verknüpfung)</span>
|
||||
<v-select
|
||||
v-model="employeeForm.person"
|
||||
:items="peopleOptions"
|
||||
placeholder="Person aus dem People Manager auswählen..."
|
||||
/>
|
||||
</div>
|
||||
<div class="field">
|
||||
<span class="label">Zentrale Person (Verknüpfung)</span>
|
||||
<v-select
|
||||
v-model="userForm.person"
|
||||
:items="peopleOptions"
|
||||
placeholder="Master-Person auswählen..."
|
||||
/>
|
||||
</div>
|
||||
|
||||
<v-divider v-if="isEditingEmployee" />
|
||||
<v-divider v-if="isEditingUser" />
|
||||
|
||||
<div v-if="isEditingEmployee" class="field">
|
||||
<span class="label">Temporäres Passwort</span>
|
||||
<v-input v-model="employeeForm.temporary_password" readonly class="password-input" />
|
||||
<p class="field-note">Wird beim Senden der Zugangsdaten automatisch generiert.</p>
|
||||
</div>
|
||||
</div>
|
||||
<div v-if="isEditingUser" class="field">
|
||||
<span class="label">Temporäres Passwort</span>
|
||||
<v-input v-model="userForm.temporary_password" readonly class="password-input" />
|
||||
<p class="field-note">Wird beim Senden der Zugangsdaten automatisch generiert.</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="drawer-actions">
|
||||
<v-button primary block :loading="saving" @click="saveEmployee">Daten speichern</v-button>
|
||||
<v-button primary block :loading="saving" @click="saveClientUser">Daten speichern</v-button>
|
||||
|
||||
<template v-if="isEditingEmployee">
|
||||
<template v-if="isEditingUser">
|
||||
<v-divider />
|
||||
<v-button
|
||||
v-tooltip.bottom="'Generiert PW, speichert es und sendet E-Mail'"
|
||||
secondary
|
||||
block
|
||||
:loading="invitingId === employeeForm.id"
|
||||
@click="inviteUser(employeeForm)"
|
||||
:loading="invitingId === userForm.id"
|
||||
@click="inviteUser(userForm)"
|
||||
>
|
||||
<v-icon name="send" left /> Zugangsdaten senden
|
||||
</v-button>
|
||||
@@ -163,38 +198,99 @@
|
||||
</div>
|
||||
</div>
|
||||
</v-drawer>
|
||||
</private-view>
|
||||
|
||||
<!-- Drawer: Quick Add Company -->
|
||||
<v-drawer
|
||||
v-model="quickAddCompanyActive"
|
||||
title="Firma schnell anlegen"
|
||||
icon="business"
|
||||
@cancel="quickAddCompanyActive = false"
|
||||
>
|
||||
<div class="drawer-content">
|
||||
<div class="form-section">
|
||||
<div class="field">
|
||||
<span class="label">Firmenname</span>
|
||||
<v-input v-model="quickCompanyForm.name" placeholder="z.B. Schmidt GmbH" autofocus />
|
||||
</div>
|
||||
<div class="field">
|
||||
<span class="label">Domain / Website</span>
|
||||
<v-input v-model="quickCompanyForm.domain" placeholder="example.com" />
|
||||
</div>
|
||||
</div>
|
||||
<div class="drawer-actions">
|
||||
<v-button primary block :loading="savingQuick" @click="saveQuickCompany">Firma speichern</v-button>
|
||||
</div>
|
||||
</div>
|
||||
</v-drawer>
|
||||
|
||||
<!-- Drawer: Quick Add Person -->
|
||||
<v-drawer
|
||||
v-model="quickAddPersonActive"
|
||||
title="Person schnell anlegen"
|
||||
icon="person"
|
||||
@cancel="quickAddPersonActive = false"
|
||||
>
|
||||
<div class="drawer-content">
|
||||
<div class="form-section">
|
||||
<div class="field">
|
||||
<span class="label">Vorname</span>
|
||||
<v-input v-model="quickPersonForm.first_name" placeholder="Vorname" autofocus />
|
||||
</div>
|
||||
<div class="field">
|
||||
<span class="label">Nachname</span>
|
||||
<v-input v-model="quickPersonForm.last_name" placeholder="Nachname" />
|
||||
</div>
|
||||
<div class="field">
|
||||
<span class="label">E-Mail</span>
|
||||
<v-input v-model="quickPersonForm.email" placeholder="email@example.com" type="email" />
|
||||
</div>
|
||||
</div>
|
||||
<div class="drawer-actions">
|
||||
<v-button primary block :loading="savingQuick" @click="saveQuickPerson">Person speichern</v-button>
|
||||
</div>
|
||||
</div>
|
||||
</v-drawer>
|
||||
</MintelManagerLayout>
|
||||
</template>
|
||||
|
||||
<script setup lang="ts">
|
||||
import { ref, onMounted, nextTick, computed } from 'vue';
|
||||
import { ref, onMounted, nextTick, computed, watch } from 'vue';
|
||||
import { useApi } from '@directus/extensions-sdk';
|
||||
import { useRoute } from 'vue-router';
|
||||
import { MintelManagerLayout, MintelSelect } from '@mintel/directus-extension-toolkit';
|
||||
|
||||
const api = useApi();
|
||||
const route = useRoute();
|
||||
|
||||
const companies = ref<any[]>([]);
|
||||
const selectedCompany = ref<any>(null);
|
||||
const employees = ref<any[]>([]);
|
||||
function onDebugClick() {
|
||||
console.log("=== [Customer Manager] DEBUG CLICK TRAPPED ===");
|
||||
alert("Interactivity OK!");
|
||||
}
|
||||
|
||||
const items = ref<any[]>([]);
|
||||
const selectedItem = ref<any>(null);
|
||||
const clientUsers = ref<any[]>([]);
|
||||
const loading = ref(false);
|
||||
const saving = ref(false);
|
||||
const invitingId = ref<string | null>(null);
|
||||
const notice = ref<{ type: string; message: string } | null>(null);
|
||||
|
||||
// Forms State
|
||||
const drawerCompanyActive = ref(false);
|
||||
const isEditingCompany = ref(false);
|
||||
const companyForm = ref({ id: '', name: '' });
|
||||
const companies = ref<any[]>([]);
|
||||
const people = ref<any[]>([]);
|
||||
|
||||
const drawerEmployeeActive = ref(false);
|
||||
const isEditingEmployee = ref(false);
|
||||
const employeeForm = ref({
|
||||
id: '',
|
||||
first_name: '',
|
||||
last_name: '',
|
||||
email: '',
|
||||
person: null,
|
||||
temporary_password: ''
|
||||
});
|
||||
const drawerActive = ref(false);
|
||||
const isEditing = ref(false);
|
||||
const form = ref({ id: null, company: null, contact_person: null, status: 'active', notes: '' });
|
||||
|
||||
const drawerUserActive = ref(false);
|
||||
const isEditingUser = ref(false);
|
||||
const userForm = ref({ id: '', first_name: '', last_name: '', email: '', person: null, temporary_password: '' });
|
||||
|
||||
const quickAddCompanyActive = ref(false);
|
||||
const quickAddPersonActive = ref(false);
|
||||
const savingQuick = ref(false);
|
||||
const quickCompanyForm = ref({ name: '', domain: '' });
|
||||
const quickPersonForm = ref({ first_name: '', last_name: '', email: '' });
|
||||
|
||||
const tableHeaders = [
|
||||
{ text: 'Name', value: 'name', sortable: true },
|
||||
@@ -202,180 +298,224 @@ const tableHeaders = [
|
||||
{ text: 'Zuletzt eingeladen', value: 'last_invited', sortable: true }
|
||||
];
|
||||
|
||||
const people = ref<any[]>([]);
|
||||
|
||||
const peopleOptions = computed(() =>
|
||||
people.value.map(p => ({
|
||||
text: `${p.first_name} ${p.last_name} (${p.email})`,
|
||||
value: p.id
|
||||
}))
|
||||
);
|
||||
const companyOptions = computed(() => companies.value.map(c => ({ text: c.name, value: c.id })));
|
||||
const peopleOptions = computed(() => people.value.map(p => ({ text: `${p.first_name} ${p.last_name} (${p.email})`, value: p.id })));
|
||||
|
||||
async function fetchData() {
|
||||
const [companiesResp, peopleResp] = await Promise.all([
|
||||
api.get('/items/companies', { params: { sort: 'name', fields: ['id', 'name'] } }),
|
||||
api.get('/items/people', { params: { sort: 'last_name' } })
|
||||
]);
|
||||
companies.value = companiesResp.data.data;
|
||||
people.value = peopleResp.data.data;
|
||||
loading.value = true;
|
||||
try {
|
||||
const [custResp, compResp, peopleResp] = await Promise.all([
|
||||
api.get('/items/customers', { params: { fields: ['*', 'company.*', 'contact_person.*'], sort: 'company.name' } }),
|
||||
api.get('/items/companies', { params: { sort: 'name' } }),
|
||||
api.get('/items/people', { params: { sort: 'last_name' } })
|
||||
]);
|
||||
items.value = custResp.data.data;
|
||||
companies.value = compResp.data.data;
|
||||
people.value = peopleResp.data.data;
|
||||
} finally {
|
||||
loading.value = false;
|
||||
}
|
||||
}
|
||||
|
||||
async function selectCompany(company: any) {
|
||||
selectedCompany.value = company;
|
||||
loading.value = true;
|
||||
try {
|
||||
const res = await api.get('/items/client_users', {
|
||||
params: {
|
||||
filter: { company: { _eq: company.id } },
|
||||
fields: ['*', 'person.*'],
|
||||
sort: 'first_name',
|
||||
},
|
||||
});
|
||||
employees.value = res.data.data;
|
||||
} finally {
|
||||
loading.value = false;
|
||||
}
|
||||
async function selectItem(item: any) {
|
||||
selectedItem.value = item;
|
||||
loading.value = true;
|
||||
try {
|
||||
const res = await api.get('/items/client_users', {
|
||||
params: {
|
||||
filter: { company: { _eq: item.company.id } },
|
||||
fields: ['*', 'person.*'],
|
||||
sort: 'first_name',
|
||||
},
|
||||
});
|
||||
clientUsers.value = res.data.data;
|
||||
} finally {
|
||||
loading.value = false;
|
||||
}
|
||||
}
|
||||
|
||||
// Company Actions
|
||||
function openCreateCompany() {
|
||||
isEditingCompany.value = false;
|
||||
companyForm.value = { id: '', name: '' };
|
||||
drawerCompanyActive.value = true;
|
||||
function openCreateDrawer() {
|
||||
isEditing.value = false;
|
||||
form.value = { id: null, company: null, contact_person: null, status: 'active', notes: '' };
|
||||
drawerActive.value = true;
|
||||
}
|
||||
|
||||
async function openEditCompany() {
|
||||
if (!selectedCompany.value) return;
|
||||
companyForm.value = {
|
||||
id: selectedCompany.value.id,
|
||||
name: selectedCompany.value.name
|
||||
function openEditDrawer() {
|
||||
if (!selectedItem.value) return;
|
||||
isEditing.value = true;
|
||||
form.value = {
|
||||
id: selectedItem.value.id,
|
||||
company: selectedItem.value.company?.id || selectedItem.value.company,
|
||||
contact_person: selectedItem.value.contact_person?.id || selectedItem.value.contact_person,
|
||||
status: selectedItem.value.status,
|
||||
notes: selectedItem.value.notes
|
||||
};
|
||||
isEditingCompany.value = true;
|
||||
await nextTick();
|
||||
drawerCompanyActive.value = true;
|
||||
drawerActive.value = true;
|
||||
}
|
||||
|
||||
async function saveCompany() {
|
||||
if (!companyForm.value.name) return;
|
||||
saving.value = true;
|
||||
try {
|
||||
if (isEditingCompany.value) {
|
||||
await api.patch(`/items/companies/${companyForm.value.id}`, { name: companyForm.value.name });
|
||||
notice.value = { type: 'success', message: 'Firma aktualisiert!' };
|
||||
} else {
|
||||
await api.post('/items/companies', { name: companyForm.value.name });
|
||||
notice.value = { type: 'success', message: 'Firma angelegt!' };
|
||||
}
|
||||
drawerCompanyActive.value = false;
|
||||
await fetchCompanies();
|
||||
if (selectedCompany.value?.id === companyForm.value.id) {
|
||||
selectedCompany.value.name = companyForm.value.name;
|
||||
}
|
||||
} catch (e: any) {
|
||||
notice.value = { type: 'danger', message: e.message };
|
||||
} finally {
|
||||
saving.value = false;
|
||||
}
|
||||
async function saveItem() {
|
||||
if (!form.value.company) {
|
||||
notice.value = { type: 'danger', message: 'Bitte wählen Sie eine Firma aus.' };
|
||||
return;
|
||||
}
|
||||
saving.value = true;
|
||||
try {
|
||||
if (isEditing.value) {
|
||||
await api.patch(`/items/customers/${form.value.id}`, form.value);
|
||||
notice.value = { type: 'success', message: 'Kunde aktualisiert!' };
|
||||
} else {
|
||||
await api.post('/items/customers', form.value);
|
||||
notice.value = { type: 'success', message: 'Neuer Kunde verlinkt!' };
|
||||
}
|
||||
drawerActive.value = false;
|
||||
await fetchData();
|
||||
if (form.value.id) {
|
||||
const updated = items.value.find(i => i.id === form.value.id);
|
||||
if (updated) selectItem(updated);
|
||||
}
|
||||
} catch (e: any) {
|
||||
notice.value = {
|
||||
type: 'danger',
|
||||
message: e.response?.data?.errors?.[0]?.message || e.message || 'Speichern fehlgeschlagen'
|
||||
};
|
||||
} finally {
|
||||
saving.value = false;
|
||||
}
|
||||
}
|
||||
|
||||
// Employee Actions
|
||||
function openCreateEmployee() {
|
||||
isEditingEmployee.value = false;
|
||||
employeeForm.value = { id: '', first_name: '', last_name: '', email: '', temporary_password: '' };
|
||||
drawerEmployeeActive.value = true;
|
||||
}
|
||||
|
||||
async function openEditEmployee(item: any) {
|
||||
employeeForm.value = {
|
||||
id: item.id || '',
|
||||
first_name: item.first_name || '',
|
||||
last_name: item.last_name || '',
|
||||
email: item.email || '',
|
||||
person: item.person?.id || item.person || null,
|
||||
temporary_password: item.temporary_password || ''
|
||||
};
|
||||
isEditingEmployee.value = true;
|
||||
await nextTick();
|
||||
drawerEmployeeActive.value = true;
|
||||
}
|
||||
|
||||
async function saveEmployee() {
|
||||
if (!employeeForm.value.email || !selectedCompany.value) return;
|
||||
saving.value = true;
|
||||
try {
|
||||
if (isEditingEmployee.value) {
|
||||
await api.patch(`/items/client_users/${employeeForm.value.id}`, {
|
||||
first_name: employeeForm.value.first_name,
|
||||
last_name: employeeForm.value.last_name,
|
||||
email: employeeForm.value.email,
|
||||
person: employeeForm.value.person
|
||||
});
|
||||
notice.value = { type: 'success', message: 'Mitarbeiter aktualisiert!' };
|
||||
} else {
|
||||
await api.post('/items/client_users', {
|
||||
first_name: employeeForm.value.first_name,
|
||||
last_name: employeeForm.value.last_name,
|
||||
email: employeeForm.value.email,
|
||||
company: selectedCompany.value.id,
|
||||
person: employeeForm.value.person
|
||||
});
|
||||
notice.value = { type: 'success', message: 'Mitarbeiter angelegt!' };
|
||||
}
|
||||
drawerEmployeeActive.value = false;
|
||||
await selectCompany(selectedCompany.value);
|
||||
} catch (e: any) {
|
||||
notice.value = { type: 'danger', message: e.message };
|
||||
} finally {
|
||||
saving.value = false;
|
||||
}
|
||||
}
|
||||
|
||||
async function inviteUser(user: any) {
|
||||
invitingId.value = user.id;
|
||||
try {
|
||||
await api.post(`/flows/trigger/33443f6b-cec7-4668-9607-f33ea674d501`, [user.id]);
|
||||
notice.value = { type: 'success', message: `Zugangsdaten für ${user.first_name} versendet. 📧` };
|
||||
await selectCompany(selectedCompany.value);
|
||||
if (drawerEmployeeActive.value && employeeForm.value.id === user.id) {
|
||||
const updated = employees.value.find(e => e.id === user.id);
|
||||
if (updated) {
|
||||
employeeForm.value.temporary_password = updated.temporary_password;
|
||||
}
|
||||
}
|
||||
} catch (e: any) {
|
||||
notice.value = { type: 'danger', message: `Fehler: ${e.message}` };
|
||||
} finally {
|
||||
invitingId.value = null;
|
||||
}
|
||||
// Client User Actions
|
||||
function openCreateClientUser() {
|
||||
isEditingUser.value = false;
|
||||
userForm.value = { id: '', first_name: '', last_name: '', email: '', person: null, temporary_password: '' };
|
||||
drawerUserActive.value = true;
|
||||
}
|
||||
|
||||
function onRowClick(event: any) {
|
||||
const item = event?.item || event;
|
||||
if (item && item.id) {
|
||||
openEditEmployee(item);
|
||||
}
|
||||
const item = event?.item || event;
|
||||
if (item && item.id) {
|
||||
userForm.value = {
|
||||
id: item.id,
|
||||
first_name: item.first_name,
|
||||
last_name: item.last_name,
|
||||
email: item.email,
|
||||
person: item.person?.id || item.person,
|
||||
temporary_password: item.temporary_password
|
||||
};
|
||||
isEditingUser.value = true;
|
||||
drawerUserActive.value = true;
|
||||
}
|
||||
}
|
||||
|
||||
async function saveClientUser() {
|
||||
if (!userForm.value.email || !selectedItem.value) return;
|
||||
saving.value = true;
|
||||
try {
|
||||
const payload = {
|
||||
first_name: userForm.value.first_name,
|
||||
last_name: userForm.value.last_name,
|
||||
email: userForm.value.email,
|
||||
person: userForm.value.person,
|
||||
company: selectedItem.value.company.id
|
||||
};
|
||||
if (isEditingUser.value) {
|
||||
await api.patch(`/items/client_users/${userForm.value.id}`, payload);
|
||||
} else {
|
||||
await api.post('/items/client_users', payload);
|
||||
}
|
||||
drawerUserActive.value = false;
|
||||
await selectItem(selectedItem.value);
|
||||
} finally {
|
||||
saving.value = false;
|
||||
}
|
||||
}
|
||||
|
||||
async function inviteUser(user: any) {
|
||||
invitingId.value = user.id;
|
||||
try {
|
||||
await api.post(`/flows/trigger/33443f6b-cec7-4668-9607-f33ea674d501`, [user.id]);
|
||||
notice.value = { type: 'success', message: `Zugangsdaten versendet. 📧` };
|
||||
await selectItem(selectedItem.value);
|
||||
} finally {
|
||||
invitingId.value = null;
|
||||
}
|
||||
}
|
||||
|
||||
function openQuickAdd(type: 'company' | 'person') {
|
||||
if (type === 'company') {
|
||||
quickCompanyForm.value = { name: '', domain: '' };
|
||||
quickAddCompanyActive.value = true;
|
||||
} else {
|
||||
quickPersonForm.value = { first_name: '', last_name: '', email: '' };
|
||||
quickAddPersonActive.value = true;
|
||||
}
|
||||
}
|
||||
|
||||
async function saveQuickCompany() {
|
||||
if (!quickCompanyForm.value.name) return;
|
||||
savingQuick.value = true;
|
||||
try {
|
||||
const res = await api.post('/items/companies', quickCompanyForm.value);
|
||||
await fetchData();
|
||||
form.value.company = res.data.data.id;
|
||||
quickAddCompanyActive.value = false;
|
||||
notice.value = { type: 'success', message: 'Firma angelegt und ausgewählt.' };
|
||||
} catch (e: any) {
|
||||
notice.value = { type: 'danger', message: e.message };
|
||||
} finally {
|
||||
savingQuick.value = false;
|
||||
}
|
||||
}
|
||||
|
||||
async function saveQuickPerson() {
|
||||
if (!quickPersonForm.value.first_name || !quickPersonForm.value.last_name) return;
|
||||
savingQuick.value = true;
|
||||
try {
|
||||
const res = await api.post('/items/people', quickPersonForm.value);
|
||||
await fetchData();
|
||||
form.value.contact_person = res.data.data.id;
|
||||
quickAddPersonActive.value = false;
|
||||
notice.value = { type: 'success', message: 'Person angelegt und ausgewählt.' };
|
||||
} catch (e: any) {
|
||||
notice.value = { type: 'danger', message: e.message };
|
||||
} finally {
|
||||
savingQuick.value = false;
|
||||
}
|
||||
}
|
||||
|
||||
function formatDate(dateStr: string) {
|
||||
return new Date(dateStr).toLocaleString('de-DE', {
|
||||
day: '2-digit', month: '2-digit', year: 'numeric',
|
||||
hour: '2-digit', minute: '2-digit'
|
||||
});
|
||||
return new Date(dateStr).toLocaleString('de-DE', {
|
||||
day: '2-digit', month: '2-digit', year: 'numeric',
|
||||
hour: '2-digit', minute: '2-digit'
|
||||
});
|
||||
}
|
||||
|
||||
onMounted(() => {
|
||||
fetchData();
|
||||
function handleDeepLink() {
|
||||
if (route.query.create === 'true') {
|
||||
// Only open if not already open to avoid resetting form if user is already typing
|
||||
if (!drawerActive.value) {
|
||||
openCreateDrawer();
|
||||
}
|
||||
|
||||
if (route.query.company) {
|
||||
form.value.company = route.query.company as any;
|
||||
}
|
||||
if (route.query.contact_person) {
|
||||
form.value.contact_person = route.query.contact_person as any;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
watch(() => route.query.create, (newVal) => {
|
||||
if (newVal === 'true') handleDeepLink();
|
||||
});
|
||||
|
||||
onMounted(async () => {
|
||||
await fetchData();
|
||||
handleDeepLink();
|
||||
});
|
||||
</script>
|
||||
|
||||
<style scoped>
|
||||
.content-wrapper { padding: 32px; height: 100%; display: flex; flex-direction: column; }
|
||||
.company-item { cursor: pointer; }
|
||||
.header { margin-bottom: 24px; display: flex; justify-content: space-between; align-items: flex-end; }
|
||||
.header-right { display: flex; gap: 12px; }
|
||||
.title { font-size: 24px; font-weight: 800; margin-bottom: 4px; }
|
||||
.subtitle { color: var(--theme--foreground-subdued); font-size: 14px; }
|
||||
.empty-state { height: 100%; display: flex; align-items: center; justify-content: center; }
|
||||
.user-cell { display: flex; align-items: center; gap: 12px; }
|
||||
.user-name { font-weight: 600; }
|
||||
.status-date { font-size: 12px; color: var(--theme--foreground-subdued); }
|
||||
@@ -385,6 +525,7 @@ onMounted(() => {
|
||||
.label { font-size: 12px; font-weight: 700; text-transform: uppercase; color: var(--theme--foreground-subdued); letter-spacing: 0.5px; }
|
||||
.field-note { font-size: 11px; color: var(--theme--foreground-subdued); margin-top: 4px; }
|
||||
.drawer-actions { margin-top: 24px; display: flex; flex-direction: column; gap: 12px; }
|
||||
|
||||
.password-input :deep(textarea) {
|
||||
font-family: var(--family-monospace);
|
||||
font-weight: 800;
|
||||
@@ -394,5 +535,4 @@ onMounted(() => {
|
||||
|
||||
.clickable-table :deep(tbody tr) { cursor: pointer; transition: background-color 0.2s ease; }
|
||||
.clickable-table :deep(tbody tr:hover) { background-color: var(--theme--background-subdued) !important; }
|
||||
:deep(.v-list-item) { cursor: pointer !important; }
|
||||
</style>
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@mintel/directus-extension-toolkit",
|
||||
"version": "1.8.2",
|
||||
"version": "1.8.16",
|
||||
"description": "Shared toolkit for Directus extensions in the Mintel ecosystem",
|
||||
"type": "module",
|
||||
"main": "./dist/index.js",
|
||||
|
||||
@@ -1,7 +1,17 @@
|
||||
import js from "@eslint/js";
|
||||
import tseslint from "typescript-eslint";
|
||||
import globals from "globals";
|
||||
|
||||
export default tseslint.config(
|
||||
{
|
||||
languageOptions: {
|
||||
globals: {
|
||||
...globals.browser,
|
||||
...globals.node,
|
||||
...globals.es2021,
|
||||
},
|
||||
},
|
||||
},
|
||||
{
|
||||
ignores: ["**/dist/**", "**/node_modules/**", "**/.next/**", "**/build/**"],
|
||||
},
|
||||
|
||||
@@ -2,40 +2,37 @@ import nextPlugin from "@next/eslint-plugin-next";
|
||||
import reactPlugin from "eslint-plugin-react";
|
||||
import hooksPlugin from "eslint-plugin-react-hooks";
|
||||
import tseslint from "typescript-eslint";
|
||||
import js from "@eslint/js";
|
||||
|
||||
/**
|
||||
* Mintel Next.js ESLint Configuration (Flat Config)
|
||||
*
|
||||
*
|
||||
* This configuration replaces the legacy 'eslint-config-next' which
|
||||
* relies on @rushstack/eslint-patch and causes issues in ESLint 9.
|
||||
*/
|
||||
export const nextConfig = tseslint.config(
|
||||
{
|
||||
plugins: {
|
||||
"react": reactPlugin,
|
||||
"react-hooks": hooksPlugin,
|
||||
"@next/next": nextPlugin,
|
||||
export const nextConfig = tseslint.config({
|
||||
plugins: {
|
||||
react: reactPlugin,
|
||||
"react-hooks": hooksPlugin,
|
||||
"@next/next": nextPlugin,
|
||||
},
|
||||
languageOptions: {
|
||||
globals: {
|
||||
// Add common browser/node globals if needed,
|
||||
// though usually handled by base configs
|
||||
},
|
||||
languageOptions: {
|
||||
globals: {
|
||||
// Add common browser/node globals if needed,
|
||||
// though usually handled by base configs
|
||||
},
|
||||
},
|
||||
rules: {
|
||||
...reactPlugin.configs.recommended.rules,
|
||||
...hooksPlugin.configs.recommended.rules,
|
||||
...nextPlugin.configs.recommended.rules,
|
||||
...nextPlugin.configs["core-web-vitals"].rules,
|
||||
"react/react-in-jsx-scope": "off",
|
||||
"react/no-unescaped-entities": "off",
|
||||
"@next/next/no-img-element": "warn",
|
||||
},
|
||||
settings: {
|
||||
react: {
|
||||
version: "detect",
|
||||
},
|
||||
rules: {
|
||||
...reactPlugin.configs.recommended.rules,
|
||||
...hooksPlugin.configs.recommended.rules,
|
||||
...nextPlugin.configs.recommended.rules,
|
||||
...nextPlugin.configs["core-web-vitals"].rules,
|
||||
"react/react-in-jsx-scope": "off",
|
||||
"react/no-unescaped-entities": "off",
|
||||
"@next/next/no-img-element": "warn",
|
||||
},
|
||||
settings: {
|
||||
react: {
|
||||
version: "detect",
|
||||
},
|
||||
},
|
||||
}
|
||||
);
|
||||
},
|
||||
});
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@mintel/eslint-config",
|
||||
"version": "1.8.2",
|
||||
"version": "1.8.16",
|
||||
"publishConfig": {
|
||||
"access": "public",
|
||||
"registry": "https://npm.infra.mintel.me"
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -1,8 +1,8 @@
|
||||
{
|
||||
"name": "feedback-commander",
|
||||
"description": "Custom High-Fidelity Feedback Management Extension for Directus",
|
||||
"icon": "view_kanban",
|
||||
"version": "1.8.2",
|
||||
"description": "Custom High-Fidelity Management for Directus",
|
||||
"icon": "extension",
|
||||
"version": "1.8.16",
|
||||
"type": "module",
|
||||
"keywords": [
|
||||
"directus",
|
||||
@@ -11,13 +11,13 @@
|
||||
],
|
||||
"directus:extension": {
|
||||
"type": "module",
|
||||
"path": "index.js",
|
||||
"path": "dist/index.js",
|
||||
"source": "src/index.ts",
|
||||
"host": "*",
|
||||
"name": "Feedback Commander"
|
||||
"host": "app",
|
||||
"name": "feedback commander"
|
||||
},
|
||||
"scripts": {
|
||||
"build": "directus-extension build && cp -f dist/index.js index.js 2>/dev/null || true",
|
||||
"build": "directus-extension build",
|
||||
"dev": "directus-extension build -w"
|
||||
},
|
||||
"devDependencies": {
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@mintel/gatekeeper",
|
||||
"version": "1.8.2",
|
||||
"version": "1.8.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"scripts": {
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
/* global module */
|
||||
module.exports = {
|
||||
plugins: {
|
||||
tailwindcss: {},
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
/* global module, require */
|
||||
/** @type {import('tailwindcss').Config} */
|
||||
module.exports = {
|
||||
content: [
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
/* global process */
|
||||
import path from "node:path";
|
||||
|
||||
const buildLintCommand = (filenames) => {
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@mintel/husky-config",
|
||||
"version": "1.8.2",
|
||||
"version": "1.8.16",
|
||||
"publishConfig": {
|
||||
"access": "public",
|
||||
"registry": "https://npm.infra.mintel.me"
|
||||
|
||||
30
packages/image-processor/package.json
Normal file
30
packages/image-processor/package.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"name": "@mintel/image-processor",
|
||||
"version": "1.8.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"main": "./dist/index.js",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": {
|
||||
".": {
|
||||
"types": "./dist/index.d.ts",
|
||||
"import": "./dist/index.js"
|
||||
}
|
||||
},
|
||||
"scripts": {
|
||||
"build": "tsup src/index.ts --format esm --dts --clean",
|
||||
"dev": "tsup src/index.ts --format esm --watch --dts",
|
||||
"lint": "eslint src"
|
||||
},
|
||||
"dependencies": {
|
||||
"sharp": "^0.33.2"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@mintel/eslint-config": "workspace:*",
|
||||
"@mintel/tsconfig": "workspace:*",
|
||||
"@types/node": "^20.0.0",
|
||||
"tsup": "^8.3.5",
|
||||
"typescript": "^5.0.0"
|
||||
}
|
||||
}
|
||||
55
packages/image-processor/scripts/download-models.ts
Normal file
55
packages/image-processor/scripts/download-models.ts
Normal file
@@ -0,0 +1,55 @@
|
||||
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);
|
||||
1
packages/image-processor/src/index.ts
Normal file
1
packages/image-processor/src/index.ts
Normal file
@@ -0,0 +1 @@
|
||||
export * from './processor.js';
|
||||
186
packages/image-processor/src/processor.ts
Normal file
186
packages/image-processor/src/processor.ts
Normal file
@@ -0,0 +1,186 @@
|
||||
import sharp from "sharp";
|
||||
|
||||
export interface ProcessImageOptions {
|
||||
width: number;
|
||||
height: number;
|
||||
format?: "webp" | "jpeg" | "png" | "avif";
|
||||
quality?: number;
|
||||
openRouterApiKey?: string;
|
||||
}
|
||||
|
||||
interface FaceDetection {
|
||||
x: number;
|
||||
y: number;
|
||||
width: number;
|
||||
height: number;
|
||||
}
|
||||
|
||||
/**
|
||||
* Detects faces using OpenRouter Vision API.
|
||||
* Uses a small preview to save bandwidth and tokens.
|
||||
*/
|
||||
async function detectFacesWithCloud(
|
||||
inputBuffer: Buffer,
|
||||
apiKey: string,
|
||||
): Promise<FaceDetection[]> {
|
||||
try {
|
||||
// Generate a small preview for vision API (max 512px)
|
||||
const preview = await sharp(inputBuffer)
|
||||
.resize(512, 512, { fit: "inside" })
|
||||
.jpeg({ quality: 60 })
|
||||
.toBuffer();
|
||||
|
||||
const base64Image = preview.toString("base64");
|
||||
|
||||
const response = await fetch(
|
||||
"https://openrouter.ai/api/v1/chat/completions",
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
Authorization: `Bearer ${apiKey}`,
|
||||
"Content-Type": "application/json",
|
||||
"HTTP-Referer": "https://mintel.me",
|
||||
"X-Title": "Mintel Image Service",
|
||||
},
|
||||
body: JSON.stringify({
|
||||
model: "google/gemini-2.0-flash-001", // Fast, cheap, and supports vision
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: 'Detect all human faces in this image. Return ONLY a JSON array of bounding boxes like: [{"x": 0.1, "y": 0.2, "width": 0.05, "height": 0.05}]. Coordinates must be normalized (0 to 1). If no faces, return [].',
|
||||
},
|
||||
{
|
||||
type: "image_url",
|
||||
image_url: {
|
||||
url: `data:image/jpeg;base64,${base64Image}`,
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
response_format: { type: "json_object" },
|
||||
}),
|
||||
},
|
||||
);
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`OpenRouter API error: ${response.statusText}`);
|
||||
}
|
||||
|
||||
const data = (await response.json()) as any;
|
||||
const content = data.choices[0]?.message?.content;
|
||||
|
||||
if (!content) return [];
|
||||
|
||||
// The model might return directly or wrapped in a json field
|
||||
const parsed = typeof content === "string" ? JSON.parse(content) : content;
|
||||
const detections = (parsed.faces || parsed.detections || parsed) as any[];
|
||||
|
||||
if (!Array.isArray(detections)) return [];
|
||||
|
||||
return detections.map((d) => ({
|
||||
x: d.x,
|
||||
y: d.y,
|
||||
width: d.width,
|
||||
height: d.height,
|
||||
}));
|
||||
} catch (error) {
|
||||
console.error("Cloud face detection failed:", error);
|
||||
return [];
|
||||
}
|
||||
}
|
||||
|
||||
export async function processImageWithSmartCrop(
|
||||
inputBuffer: Buffer,
|
||||
options: ProcessImageOptions,
|
||||
): Promise<Buffer> {
|
||||
const sharpImage = sharp(inputBuffer);
|
||||
const metadata = await sharpImage.metadata();
|
||||
|
||||
if (!metadata.width || !metadata.height) {
|
||||
throw new Error("Could not read image metadata");
|
||||
}
|
||||
|
||||
const detections = options.openRouterApiKey
|
||||
? await detectFacesWithCloud(inputBuffer, options.openRouterApiKey)
|
||||
: [];
|
||||
|
||||
// If faces are found, calculate the bounding box containing all faces
|
||||
if (detections.length > 0) {
|
||||
// Map normalized coordinates back to pixels
|
||||
const pixelDetections = detections.map((d) => ({
|
||||
x: d.x * (metadata.width || 0),
|
||||
y: d.y * (metadata.height || 0),
|
||||
width: d.width * (metadata.width || 0),
|
||||
height: d.height * (metadata.height || 0),
|
||||
}));
|
||||
|
||||
let minX = metadata.width;
|
||||
let minY = metadata.height;
|
||||
let maxX = 0;
|
||||
let maxY = 0;
|
||||
|
||||
for (const det of pixelDetections) {
|
||||
if (det.x < minX) minX = Math.max(0, det.x);
|
||||
if (det.y < minY) minY = Math.max(0, det.y);
|
||||
if (det.x + det.width > maxX)
|
||||
maxX = Math.min(metadata.width, det.x + det.width);
|
||||
if (det.y + det.height > maxY)
|
||||
maxY = Math.min(metadata.height, det.y + det.height);
|
||||
}
|
||||
|
||||
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;
|
||||
|
||||
let cropWidth = metadata.width;
|
||||
let cropHeight = metadata.height;
|
||||
|
||||
if (currentRatio > targetRatio) {
|
||||
cropWidth = Math.floor(metadata.height * targetRatio);
|
||||
} else {
|
||||
cropHeight = Math.floor(metadata.width / targetRatio);
|
||||
}
|
||||
|
||||
let cropX = Math.floor(centerX - cropWidth / 2);
|
||||
let cropY = Math.floor(centerY - cropHeight / 2);
|
||||
|
||||
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;
|
||||
|
||||
sharpImage.extract({
|
||||
left: cropX,
|
||||
top: cropY,
|
||||
width: cropWidth,
|
||||
height: cropHeight,
|
||||
});
|
||||
}
|
||||
|
||||
let finalImage = sharpImage.resize(options.width, options.height, {
|
||||
fit: "cover",
|
||||
position: detections.length > 0 ? "center" : "attention",
|
||||
});
|
||||
|
||||
const format = options.format || "webp";
|
||||
const quality = options.quality || 80;
|
||||
|
||||
if (format === "webp") {
|
||||
finalImage = finalImage.webp({ quality });
|
||||
} else if (format === "jpeg") {
|
||||
finalImage = finalImage.jpeg({ quality });
|
||||
} else if (format === "png") {
|
||||
finalImage = finalImage.png({ quality });
|
||||
} else if (format === "avif") {
|
||||
finalImage = finalImage.avif({ quality });
|
||||
}
|
||||
|
||||
return finalImage.toBuffer();
|
||||
}
|
||||
19
packages/image-processor/tsconfig.json
Normal file
19
packages/image-processor/tsconfig.json
Normal file
@@ -0,0 +1,19 @@
|
||||
{
|
||||
"extends": "@mintel/tsconfig/base.json",
|
||||
"compilerOptions": {
|
||||
"outDir": "dist",
|
||||
"rootDir": "src",
|
||||
"allowJs": true,
|
||||
"esModuleInterop": true,
|
||||
"module": "NodeNext",
|
||||
"moduleResolution": "NodeNext"
|
||||
},
|
||||
"include": [
|
||||
"src/**/*"
|
||||
],
|
||||
"exclude": [
|
||||
"node_modules",
|
||||
"dist",
|
||||
"**/*.test.ts"
|
||||
]
|
||||
}
|
||||
@@ -5,7 +5,7 @@ on:
|
||||
branches:
|
||||
- main
|
||||
tags:
|
||||
- 'v*'
|
||||
- '*'
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
skip_long_checks:
|
||||
@@ -65,11 +65,6 @@ jobs:
|
||||
PRJ_ID="${{ github.event.repository.name }}"
|
||||
|
||||
if [[ "${{ github.ref_type }}" == "branch" && "$TAG" == "main" ]]; then
|
||||
if [[ "$COMMIT_MSG" =~ ^chore: ]]; then
|
||||
TARGET="skip"
|
||||
GOTIFY_TITLE="ℹ️ Skip Deploy (Chore)"
|
||||
GOTIFY_PRIORITY=2
|
||||
else
|
||||
TARGET="testing"
|
||||
IMAGE_TAG="main-${SHORT_SHA}"
|
||||
ENV_FILE=".env.testing"
|
||||
@@ -81,9 +76,8 @@ jobs:
|
||||
IS_PROD="false"
|
||||
GOTIFY_TITLE="🧪 Testing-Deploy"
|
||||
GOTIFY_PRIORITY=4
|
||||
fi
|
||||
elif [[ "${{ github.ref_type }}" == "tag" ]]; then
|
||||
if [[ "$TAG" =~ ^v[0-9]+\.[0-9]+\.[0-9]+$ ]]; then
|
||||
if [[ "$TAG" =~ ^v?[0-9]+\.[0-9]+\.[0-9]+$ ]]; then
|
||||
TARGET="production"
|
||||
IMAGE_TAG="$TAG"
|
||||
ENV_FILE=".env.prod"
|
||||
@@ -197,6 +191,7 @@ jobs:
|
||||
file: packages/infra/docker/Dockerfile.nextjs
|
||||
platforms: linux/arm64
|
||||
pull: true
|
||||
provenance: false
|
||||
build-args: |
|
||||
NEXT_PUBLIC_BASE_URL=${{ needs.prepare.outputs.next_public_base_url }}
|
||||
NEXT_PUBLIC_TARGET=${{ needs.prepare.outputs.target }}
|
||||
@@ -204,8 +199,6 @@ jobs:
|
||||
secrets: |
|
||||
NPM_TOKEN=${{ secrets.NPM_TOKEN }}
|
||||
tags: registry.infra.mintel.me/mintel/${{ github.event.repository.name }}:${{ needs.prepare.outputs.image_tag }}
|
||||
cache-from: type=registry,ref=registry.infra.mintel.me/mintel/${{ github.event.repository.name }}:buildcache
|
||||
cache-to: type=registry,ref=registry.infra.mintel.me/mintel/${{ github.event.repository.name }}:buildcache,mode=max
|
||||
|
||||
# ──────────────────────────────────────────────────────────────────────────────
|
||||
# JOB 4: Deploy
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@mintel/infra",
|
||||
"version": "1.8.2",
|
||||
"version": "1.8.16",
|
||||
"publishConfig": {
|
||||
"access": "public",
|
||||
"registry": "https://npm.infra.mintel.me"
|
||||
|
||||
50
packages/infra/scripts/mintel-optimizer.sh
Normal file
50
packages/infra/scripts/mintel-optimizer.sh
Normal file
@@ -0,0 +1,50 @@
|
||||
#!/bin/bash
|
||||
set -e
|
||||
|
||||
# Configuration
|
||||
REGISTRY_DATA="/mnt/HC_Volume_104575103/registry-data/docker/registry/v2"
|
||||
KEEP_TAGS=3
|
||||
|
||||
echo "🏥 Starting Aggressive Mintel Infrastructure Optimization..."
|
||||
|
||||
# 1. Prune Registry Tags (Filesystem level)
|
||||
if [ -d "$REGISTRY_DATA" ]; then
|
||||
echo "🔍 Processing Registry tags..."
|
||||
for repo_dir in "$REGISTRY_DATA/repositories/mintel/"*; do
|
||||
[ -e "$repo_dir" ] || continue
|
||||
repo_name=$(basename "$repo_dir")
|
||||
|
||||
# EXCLUDE base images from pruning to prevent breaking downstream builds
|
||||
if [[ "$repo_name" == "runtime" || "$repo_name" == "nextjs" || "$repo_name" == "gatekeeper" ]]; then
|
||||
echo " 🛡️ Skipping protected repository: mintel/$repo_name"
|
||||
continue
|
||||
fi
|
||||
|
||||
tags_dir="$repo_dir/_manifests/tags"
|
||||
|
||||
if [ -d "$tags_dir" ]; then
|
||||
echo " 📦 Pruning mintel/$repo_name..."
|
||||
# Note: keeping latest and up to KEEP_TAGS of each pattern
|
||||
PATTERNS=("main-*" "testing-*" "branch-*" "v*" "rc*" "[0-9a-f]*")
|
||||
for pattern in "${PATTERNS[@]}"; do
|
||||
find "$tags_dir" -maxdepth 1 -name "$pattern" -print0 2>/dev/null | xargs -0 ls -dt 2>/dev/null | tail -n +$((KEEP_TAGS + 1)) | xargs rm -rf 2>/dev/null || true
|
||||
done
|
||||
rm -rf "$tags_dir/buildcache"* 2>/dev/null || true
|
||||
fi
|
||||
done
|
||||
fi
|
||||
|
||||
# 2. Registry Garbage Collection
|
||||
REGISTRY_CONTAINER=$(docker ps --format "{{.Names}}" | grep registry | head -1 || true)
|
||||
if [ -n "$REGISTRY_CONTAINER" ]; then
|
||||
echo "♻️ Running Registry GC..."
|
||||
docker exec "$REGISTRY_CONTAINER" bin/registry garbage-collect /etc/docker/registry/config.yml --delete-untagged || true
|
||||
fi
|
||||
|
||||
# 3. Global Docker Pruning
|
||||
echo "🧹 Pruning Docker resources..."
|
||||
docker system prune -af --filter "until=24h"
|
||||
docker volume prune -f
|
||||
|
||||
echo "✅ Optimization complete!"
|
||||
df -h /mnt/HC_Volume_104575103
|
||||
@@ -35,9 +35,9 @@ DB_USER="directus"
|
||||
DB_NAME="directus"
|
||||
|
||||
echo "🔍 Detecting local database..."
|
||||
LOCAL_DB_CONTAINER=$(docker compose ps -q directus-db)
|
||||
LOCAL_DB_CONTAINER=$(docker compose ps -q at-mintel-directus-db)
|
||||
if [ -z "$LOCAL_DB_CONTAINER" ]; then
|
||||
echo "❌ Local directus-db container not found. Running?"
|
||||
echo "❌ Local at-mintel-directus-db container not found. Running?"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
|
||||
32
packages/journaling/package.json
Normal file
32
packages/journaling/package.json
Normal file
@@ -0,0 +1,32 @@
|
||||
{
|
||||
"name": "@mintel/journaling",
|
||||
"version": "1.8.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"main": "./dist/index.js",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": {
|
||||
".": {
|
||||
"types": "./dist/index.d.ts",
|
||||
"import": "./dist/index.js"
|
||||
}
|
||||
},
|
||||
"scripts": {
|
||||
"build": "tsup src/index.ts --format esm --dts --clean",
|
||||
"dev": "tsup src/index.ts --format esm --watch --dts",
|
||||
"lint": "eslint src"
|
||||
},
|
||||
"dependencies": {
|
||||
"axios": "^1.6.0",
|
||||
"google-trends-api": "^4.9.2",
|
||||
"openai": "^4.82.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@mintel/eslint-config": "workspace:*",
|
||||
"@mintel/tsconfig": "workspace:*",
|
||||
"@types/node": "^20.0.0",
|
||||
"tsup": "^8.3.5",
|
||||
"typescript": "^5.0.0"
|
||||
}
|
||||
}
|
||||
419
packages/journaling/src/agent.ts
Normal file
419
packages/journaling/src/agent.ts
Normal file
@@ -0,0 +1,419 @@
|
||||
import OpenAI from "openai";
|
||||
import { DataCommonsClient } from "./clients/data-commons";
|
||||
import { TrendsClient } from "./clients/trends";
|
||||
import { SerperClient } from "./clients/serper";
|
||||
|
||||
export interface Fact {
|
||||
statement: string;
|
||||
source: string;
|
||||
url?: string;
|
||||
confidence: "high" | "medium" | "low";
|
||||
data?: any;
|
||||
}
|
||||
|
||||
export interface SocialPost {
|
||||
platform: "youtube" | "twitter" | "linkedin";
|
||||
embedId: string;
|
||||
description: string;
|
||||
}
|
||||
|
||||
export class ResearchAgent {
|
||||
private openai: OpenAI;
|
||||
private dcClient: DataCommonsClient;
|
||||
private trendsClient: TrendsClient;
|
||||
private serperClient: SerperClient;
|
||||
|
||||
constructor(apiKey: string) {
|
||||
this.openai = new OpenAI({
|
||||
apiKey,
|
||||
baseURL: "https://openrouter.ai/api/v1",
|
||||
defaultHeaders: {
|
||||
"HTTP-Referer": "https://mintel.me",
|
||||
"X-Title": "Mintel Journaling Agent",
|
||||
},
|
||||
});
|
||||
this.dcClient = new DataCommonsClient();
|
||||
this.trendsClient = new TrendsClient(apiKey);
|
||||
this.serperClient = new SerperClient(process.env.SERPER_API_KEY);
|
||||
}
|
||||
|
||||
async researchTopic(topic: string): Promise<Fact[]> {
|
||||
console.log(`🔎 Researching: ${topic}`);
|
||||
|
||||
// 1. Plan Research
|
||||
const plan = await this.planResearch(topic);
|
||||
console.log(`📋 Research Plan:`, plan);
|
||||
|
||||
const facts: Fact[] = [];
|
||||
|
||||
// 2. Execute Plan
|
||||
// Google Trends
|
||||
for (const kw of plan.trendsKeywords) {
|
||||
try {
|
||||
const data = await this.trendsClient.getInterestOverTime(kw);
|
||||
if (data.length > 0) {
|
||||
// Analyze trend
|
||||
const latest = data[data.length - 1];
|
||||
facts.push({
|
||||
statement: `Interest in "${kw}" is currently at ${latest.value}% of peak popularity.`,
|
||||
source: "Google Trends",
|
||||
confidence: "high",
|
||||
data: data.slice(-5), // Last 5 points
|
||||
});
|
||||
}
|
||||
} catch (e) {
|
||||
console.error(`Error fetching trends for ${kw}`, e);
|
||||
}
|
||||
}
|
||||
|
||||
// Data Commons
|
||||
// We need DCIDs. LLM should have provided them or we need a search.
|
||||
// For this POC, let's assume the LLM provides plausible DCIDs or we skip deep DC integration for now
|
||||
// and rely on the LLM's own knowledge + the verified trends.
|
||||
// However, if the plan has dcVariables, let's try.
|
||||
|
||||
// 3. Synthesize & Verify
|
||||
// Ask LLM to verify its own knowledge against the data we found (if any) or just use its training data
|
||||
// but formatted as "facts".
|
||||
|
||||
const synthesis = await this.openai.chat.completions.create({
|
||||
model: "google/gemini-2.0-flash-001",
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `You are a professional digital researcher and fact-checker.
|
||||
Topic: "${topic}"
|
||||
|
||||
Your Goal: Provide 5-7 concrete, verifiable, statistical facts.
|
||||
Constraint 1: Cite real sources (e.g. "Google Developers", "HTTP Archive", "Deloitte", "Nielsen Norman Group").
|
||||
Constraint 2: DO NOT cite "General Knowledge".
|
||||
Constraint 3: CRITICAL MANDATE - NEVER generate or guess URLs. You must hallucinate NO links. Use ONLY the Organization's Name as the "source" field.
|
||||
|
||||
Return JSON: { "facts": [ { "statement": "...", "source": "Organization Name Only", "confidence": "high" } ] }`,
|
||||
},
|
||||
{ role: "user", content: "Extract facts." },
|
||||
],
|
||||
response_format: { type: "json_object" },
|
||||
});
|
||||
|
||||
if (
|
||||
!synthesis.choices ||
|
||||
synthesis.choices.length === 0 ||
|
||||
!synthesis.choices[0].message
|
||||
) {
|
||||
console.warn(`⚠️ Research synthesis failed for concept: "${topic}"`);
|
||||
return [];
|
||||
}
|
||||
|
||||
const result = JSON.parse(synthesis.choices[0].message.content || "{}");
|
||||
return result.facts || [];
|
||||
}
|
||||
|
||||
/**
|
||||
* Extracts existing social media embeds from MDX content via regex.
|
||||
* No LLM involved — purely deterministic parsing.
|
||||
* Only returns posts that are already present in the article.
|
||||
*/
|
||||
extractSocialPosts(content: string): SocialPost[] {
|
||||
const posts: SocialPost[] = [];
|
||||
|
||||
// YouTube: <YouTubeEmbed videoId="..." />
|
||||
const ytMatches = [
|
||||
...content.matchAll(/<YouTubeEmbed[^>]*videoId="([^"]+)"[^>]*\/>/gi),
|
||||
];
|
||||
for (const match of ytMatches) {
|
||||
if (!posts.some((p) => p.embedId === match[1])) {
|
||||
posts.push({
|
||||
platform: "youtube",
|
||||
embedId: match[1],
|
||||
description: "Existing YouTube embed",
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Twitter/X: <TwitterEmbed tweetId="..." />
|
||||
const twMatches = [
|
||||
...content.matchAll(/<TwitterEmbed[^>]*tweetId="([^"]+)"[^>]*\/>/gi),
|
||||
];
|
||||
for (const match of twMatches) {
|
||||
if (!posts.some((p) => p.embedId === match[1])) {
|
||||
posts.push({
|
||||
platform: "twitter",
|
||||
embedId: match[1],
|
||||
description: "Existing Twitter/X embed",
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// LinkedIn: <LinkedInEmbed url="..." /> or <LinkedInEmbed urn="..." />
|
||||
const liMatches = [
|
||||
...content.matchAll(/<LinkedInEmbed[^>]*(?:url|urn)="([^"]+)"[^>]*\/>/gi),
|
||||
];
|
||||
for (const match of liMatches) {
|
||||
if (!posts.some((p) => p.embedId === match[1])) {
|
||||
posts.push({
|
||||
platform: "linkedin",
|
||||
embedId: match[1],
|
||||
description: "Existing LinkedIn embed",
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
if (posts.length > 0) {
|
||||
console.log(
|
||||
`📱 Extracted ${posts.length} existing social media embed(s) from content`,
|
||||
);
|
||||
} else {
|
||||
console.log(`📱 No existing social media embeds found in content`);
|
||||
}
|
||||
|
||||
return posts;
|
||||
}
|
||||
|
||||
/**
|
||||
* Fetches real, verified social media posts using the Serper API (Google Video Search).
|
||||
* This completely prevents hallucinations as it relies on actual search results.
|
||||
*/
|
||||
async fetchRealSocialPosts(
|
||||
topic: string,
|
||||
retries = 1,
|
||||
): Promise<SocialPost[]> {
|
||||
console.log(
|
||||
`🌐 [Serper] Fetching real social media posts for topic: "${topic}"...`,
|
||||
);
|
||||
|
||||
// Step 1: Ask the LLM to generate a highly specific YouTube search query
|
||||
// We want tutorials, explanations, or deep dives.
|
||||
const queryGen = await this.openai.chat.completions.create({
|
||||
model: "google/gemini-2.5-flash",
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `You generate ultra-short, highly relevant YouTube search queries based on a given text context.
|
||||
|
||||
RULES:
|
||||
1. Extract only the 2-4 most important technical or business keywords from the provided text.
|
||||
2. Ignore all markdown syntax, frontmatter (---), titles, and descriptions.
|
||||
3. Keep the query generic enough to find popular educational tech videos, BUT ensure it specifically targets the core technical subject. Append "tutorial" or "b2b explanation" if necessary to find high-quality content.
|
||||
4. DO NOT append specific channel names (e.g., "Fireship", "Vercel") to the query.
|
||||
5. DO NOT USE QUOTES IN THE QUERY.
|
||||
|
||||
Return a JSON object with a single string field "query". Example: {"query": "core web vitals performance tutorial"}`,
|
||||
},
|
||||
{
|
||||
role: "user",
|
||||
content: `CONTEXT: ${topic}`,
|
||||
},
|
||||
],
|
||||
response_format: { type: "json_object" },
|
||||
});
|
||||
|
||||
try {
|
||||
let queryStr = "";
|
||||
const parsed = JSON.parse(
|
||||
queryGen.choices[0].message.content || '{"query": ""}',
|
||||
);
|
||||
queryStr = parsed.query || `${topic} tutorial explanation`;
|
||||
|
||||
// Step 2: Search via Serper Video Search
|
||||
const videos = await this.serperClient.searchVideos(queryStr);
|
||||
|
||||
if (!videos || videos.length === 0) {
|
||||
console.warn(`⚠️ [Serper] No videos found for query: "${queryStr}"`);
|
||||
if (retries > 0) return this.fetchRealSocialPosts(topic, retries - 1);
|
||||
return [];
|
||||
}
|
||||
|
||||
// Filter for youtube results
|
||||
const ytVideos = videos
|
||||
.filter(
|
||||
(v) =>
|
||||
v.link &&
|
||||
v.link.includes("youtube.com/watch") &&
|
||||
v.title &&
|
||||
v.channel,
|
||||
)
|
||||
.slice(0, 5); // Take top 5 for evaluation
|
||||
|
||||
if (ytVideos.length === 0) {
|
||||
console.warn(`⚠️ [Serper] No YouTube videos in search results.`);
|
||||
if (retries > 0) return this.fetchRealSocialPosts(topic, retries - 1);
|
||||
return [];
|
||||
}
|
||||
|
||||
// Step 3: Ask the LLM to evaluate the relevance of the found videos
|
||||
const evalPrompt = `You are a strict technical evaluator. You must select the MOST RELEVANT educational tech video from the list below based on this core article context: "${topic.slice(0, 800)}..."
|
||||
|
||||
Videos:
|
||||
${ytVideos.map((v, i) => `[ID: ${i}] Title: "${v.title}" | Channel: "${v.channel}" | Snippet: "${v.snippet || "none"}"`).join("\n")}
|
||||
|
||||
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.
|
||||
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.
|
||||
|
||||
Return ONLY a JSON object: {"bestVideoId": number}`;
|
||||
|
||||
const evalResponse = await this.openai.chat.completions.create({
|
||||
model: "google/gemini-2.5-flash",
|
||||
messages: [{ role: "system", content: evalPrompt }],
|
||||
response_format: { type: "json_object" },
|
||||
});
|
||||
|
||||
let bestIdx = -1;
|
||||
try {
|
||||
const evalParsed = JSON.parse(
|
||||
evalResponse.choices[0].message.content || '{"bestVideoId": -1}',
|
||||
);
|
||||
bestIdx = evalParsed.bestVideoId;
|
||||
} 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);
|
||||
return [];
|
||||
}
|
||||
|
||||
const bestVideo = ytVideos[bestIdx];
|
||||
console.log(
|
||||
`✅ [Serper] AI selected video: ${bestVideo.title} (Channel: ${bestVideo.channel})`,
|
||||
);
|
||||
|
||||
// Extract the 11-char video ID from the link (e.g., https://www.youtube.com/watch?v=dQw4w9WgXcQ)
|
||||
const urlObj = new URL(bestVideo.link);
|
||||
const videoId = urlObj.searchParams.get("v");
|
||||
|
||||
if (!videoId) {
|
||||
console.warn(
|
||||
`⚠️ [Serper] Could not extract video ID from: ${bestVideo.link}`,
|
||||
);
|
||||
return [];
|
||||
}
|
||||
|
||||
console.log(
|
||||
`✅ [Serper] Found valid YouTube Video: ${videoId} ("${bestVideo.title}")`,
|
||||
);
|
||||
|
||||
return [
|
||||
{
|
||||
platform: "youtube",
|
||||
embedId: videoId,
|
||||
description: bestVideo.title || "YouTube Video",
|
||||
},
|
||||
];
|
||||
} catch (e) {
|
||||
console.error("❌ Failed to fetch real social posts:", e);
|
||||
return [];
|
||||
}
|
||||
}
|
||||
|
||||
private async planResearch(
|
||||
topic: string,
|
||||
): Promise<{ trendsKeywords: string[]; dcVariables: string[] }> {
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: "google/gemini-2.0-flash-001",
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `Plan research for: "${topic}".
|
||||
Return JSON:
|
||||
{
|
||||
"trendsKeywords": ["list", "of", "max", "2", "keywords"],
|
||||
"dcVariables": ["StatisticalVariables", "if", "known", "otherwise", "empty"]
|
||||
}
|
||||
CRITICAL: Do NOT provide more than 2 trendsKeywords. Keep it extremely focused.`,
|
||||
},
|
||||
],
|
||||
response_format: { type: "json_object" },
|
||||
});
|
||||
|
||||
if (
|
||||
!response.choices ||
|
||||
response.choices.length === 0 ||
|
||||
!response.choices[0].message
|
||||
) {
|
||||
console.warn(`⚠️ Research planning failed for concept: "${topic}"`);
|
||||
return { trendsKeywords: [], dcVariables: [] };
|
||||
}
|
||||
|
||||
try {
|
||||
let parsed = JSON.parse(
|
||||
response.choices[0].message.content ||
|
||||
'{"trendsKeywords": [], "dcVariables": []}',
|
||||
);
|
||||
if (Array.isArray(parsed)) {
|
||||
parsed = parsed[0] || { trendsKeywords: [], dcVariables: [] };
|
||||
}
|
||||
return {
|
||||
trendsKeywords: Array.isArray(parsed.trendsKeywords)
|
||||
? parsed.trendsKeywords
|
||||
: [],
|
||||
dcVariables: Array.isArray(parsed.dcVariables)
|
||||
? parsed.dcVariables
|
||||
: [],
|
||||
};
|
||||
} catch (e) {
|
||||
console.error("Failed to parse research plan JSON", e);
|
||||
return { trendsKeywords: [], dcVariables: [] };
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Researches the top-ranking competitors on Google for a given topic.
|
||||
* Extracts their titles and snippets to guide the LLM to write better content.
|
||||
*/
|
||||
async researchCompetitors(topic: string, retries = 1): Promise<string[]> {
|
||||
console.log(
|
||||
`🔍 [Competitor Research] Fetching top ranking web pages for topic: "${topic.slice(0, 50)}..."`,
|
||||
);
|
||||
|
||||
// Step 1: LLM generates the optimal Google Search query
|
||||
const queryGen = await this.openai.chat.completions.create({
|
||||
model: "google/gemini-2.5-flash",
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `Generate a Google Search query that a B2B decision maker would use to research the following topic: "${topic}".
|
||||
Focus on intent-driven keywords.
|
||||
Return a JSON object with a single string field "query". Example: {"query": "Next.js performance optimization agency"}.
|
||||
DO NOT USE QUOTES IN THE QUERY ITSELF.`,
|
||||
},
|
||||
],
|
||||
response_format: { type: "json_object" },
|
||||
});
|
||||
|
||||
try {
|
||||
const parsed = JSON.parse(
|
||||
queryGen.choices[0].message.content || '{"query": ""}',
|
||||
);
|
||||
const queryStr = parsed.query || topic;
|
||||
|
||||
// Step 2: Search via Serper Web Search
|
||||
const organicResults = await this.serperClient.searchWeb(queryStr, 5);
|
||||
|
||||
if (!organicResults || organicResults.length === 0) {
|
||||
console.warn(
|
||||
`⚠️ [Competitor Research] No web results found for query: "${queryStr}"`,
|
||||
);
|
||||
if (retries > 0) return this.researchCompetitors(topic, retries - 1);
|
||||
return [];
|
||||
}
|
||||
|
||||
// Map to structured insights string
|
||||
const insights = organicResults.map((result, i) => {
|
||||
return `[Rank #${i + 1}] Title: "${result.title}" | Snippet: "${result.snippet}"`;
|
||||
});
|
||||
|
||||
console.log(
|
||||
`✅ [Competitor Research] Analyzed top ${insights.length} competitor articles.`,
|
||||
);
|
||||
return insights;
|
||||
} catch (e) {
|
||||
console.error("❌ Failed to fetch competitor research:", e);
|
||||
return [];
|
||||
}
|
||||
}
|
||||
}
|
||||
52
packages/journaling/src/clients/data-commons.ts
Normal file
52
packages/journaling/src/clients/data-commons.ts
Normal file
@@ -0,0 +1,52 @@
|
||||
import axios from "axios";
|
||||
|
||||
export interface DataPoint {
|
||||
date: string;
|
||||
value: number;
|
||||
}
|
||||
|
||||
export class DataCommonsClient {
|
||||
private baseUrl = "https://api.datacommons.org";
|
||||
|
||||
/**
|
||||
* Fetches statistical series for a specific variable and place.
|
||||
* @param placeId DCID of the place (e.g., 'country/DEU' for Germany)
|
||||
* @param variable DCID of the statistical variable (e.g., 'Count_Person')
|
||||
*/
|
||||
async getStatSeries(placeId: string, variable: string): Promise<DataPoint[]> {
|
||||
try {
|
||||
// https://docs.datacommons.org/api/rest/v2/stat_series
|
||||
const response = await axios.get(`${this.baseUrl}/v2/stat/series`, {
|
||||
params: {
|
||||
place: placeId,
|
||||
stat_var: variable,
|
||||
},
|
||||
});
|
||||
|
||||
// Response format: { "series": { "country/DEU": { "Count_Person": { "val": { "2020": 83166711, ... } } } } }
|
||||
const seriesData = response.data?.series?.[placeId]?.[variable]?.val;
|
||||
|
||||
if (!seriesData) {
|
||||
return [];
|
||||
}
|
||||
|
||||
return Object.entries(seriesData)
|
||||
.map(([date, value]) => ({ date, value: Number(value) }))
|
||||
.sort((a, b) => a.date.localeCompare(b.date));
|
||||
} catch (error) {
|
||||
console.error(`DataCommons Error (${placeId}, ${variable}):`, error);
|
||||
return [];
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Search for entities (places, etc.)
|
||||
*/
|
||||
async resolveEntity(name: string): Promise<string | null> {
|
||||
// Search API or simple mapping for now.
|
||||
// DC doesn't have a simple "search" endpoint in v2 public API easily accessible without key sometimes?
|
||||
// Let's rely on LLM to provide DCIDs for now, or implement a naive search if needed.
|
||||
// For now, return null to force LLM to guess/know DCIDs.
|
||||
return null;
|
||||
}
|
||||
}
|
||||
128
packages/journaling/src/clients/serper.ts
Normal file
128
packages/journaling/src/clients/serper.ts
Normal file
@@ -0,0 +1,128 @@
|
||||
export interface SerperVideoResult {
|
||||
title: string;
|
||||
link: string;
|
||||
snippet?: string;
|
||||
date?: string;
|
||||
duration?: string;
|
||||
channel?: string;
|
||||
}
|
||||
|
||||
export interface SerperVideoResponse {
|
||||
searchParameters: any;
|
||||
videos: SerperVideoResult[];
|
||||
}
|
||||
|
||||
export interface SerperWebResult {
|
||||
title: string;
|
||||
link: string;
|
||||
snippet: string;
|
||||
date?: string;
|
||||
sitelinks?: any[];
|
||||
position: number;
|
||||
}
|
||||
|
||||
export interface SerperWebResponse {
|
||||
searchParameters: any;
|
||||
organic: SerperWebResult[];
|
||||
}
|
||||
|
||||
export class SerperClient {
|
||||
private apiKey: string;
|
||||
|
||||
constructor(apiKey?: string) {
|
||||
const key = apiKey || process.env.SERPER_API_KEY;
|
||||
if (!key) {
|
||||
console.warn("⚠️ SERPER_API_KEY is not defined. SerperClient will fail.");
|
||||
}
|
||||
this.apiKey = key || "";
|
||||
}
|
||||
|
||||
/**
|
||||
* Performs a video search via Serper (Google Video Search).
|
||||
* Great for finding relevant YouTube videos.
|
||||
*/
|
||||
async searchVideos(
|
||||
query: string,
|
||||
num: number = 5,
|
||||
): Promise<SerperVideoResult[]> {
|
||||
if (!this.apiKey) {
|
||||
console.error("❌ SERPER_API_KEY missing - cannot execute search.");
|
||||
return [];
|
||||
}
|
||||
|
||||
try {
|
||||
console.log(`🔍 [Serper] Searching videos for: "${query}"`);
|
||||
const response = await fetch("https://google.serper.dev/videos", {
|
||||
method: "POST",
|
||||
headers: {
|
||||
"X-API-KEY": this.apiKey,
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify({
|
||||
q: query,
|
||||
num: num,
|
||||
gl: "de", // Germany for localized results
|
||||
hl: "de", // German language
|
||||
}),
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
console.error(
|
||||
`❌ [Serper] API Error: ${response.status} ${response.statusText}`,
|
||||
);
|
||||
const text = await response.text();
|
||||
console.error(text);
|
||||
return [];
|
||||
}
|
||||
|
||||
const data = (await response.json()) as SerperVideoResponse;
|
||||
return data.videos || [];
|
||||
} catch (e) {
|
||||
console.error("❌ [Serper] Request failed", e);
|
||||
return [];
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Performs a standard web search via Serper.
|
||||
* Crucial for B2B competitor analysis and context gathering.
|
||||
*/
|
||||
async searchWeb(query: string, num: number = 5): Promise<SerperWebResult[]> {
|
||||
if (!this.apiKey) {
|
||||
console.error("❌ SERPER_API_KEY missing - cannot execute web search.");
|
||||
return [];
|
||||
}
|
||||
|
||||
try {
|
||||
console.log(`🔍 [Serper] Web Search for Competitor Insights: "${query}"`);
|
||||
const response = await fetch("https://google.serper.dev/search", {
|
||||
method: "POST",
|
||||
headers: {
|
||||
"X-API-KEY": this.apiKey,
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify({
|
||||
q: query,
|
||||
num: num,
|
||||
gl: "de", // Germany for localized results
|
||||
hl: "de", // German language
|
||||
}),
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
console.error(
|
||||
`❌ [Serper] API Error: ${response.status} ${response.statusText}`,
|
||||
);
|
||||
const text = await response.text();
|
||||
console.error(text);
|
||||
return [];
|
||||
}
|
||||
|
||||
const data = (await response.json()) as SerperWebResponse;
|
||||
return data.organic || [];
|
||||
} catch (e) {
|
||||
console.error("❌ [Serper] Web Request failed", e);
|
||||
return [];
|
||||
}
|
||||
}
|
||||
}
|
||||
79
packages/journaling/src/clients/trends.ts
Normal file
79
packages/journaling/src/clients/trends.ts
Normal file
@@ -0,0 +1,79 @@
|
||||
import OpenAI from "openai";
|
||||
|
||||
export interface TrendPoint {
|
||||
date: string;
|
||||
value: number;
|
||||
}
|
||||
|
||||
export class TrendsClient {
|
||||
private openai: OpenAI;
|
||||
|
||||
constructor(apiKey?: string) {
|
||||
// Use environment key if available, otherwise expect it passed
|
||||
const key = apiKey || process.env.OPENROUTER_KEY || "dummy";
|
||||
this.openai = new OpenAI({
|
||||
apiKey: key,
|
||||
baseURL: "https://openrouter.ai/api/v1",
|
||||
defaultHeaders: {
|
||||
"HTTP-Referer": "https://mintel.me",
|
||||
"X-Title": "Mintel Trends Engine",
|
||||
},
|
||||
});
|
||||
}
|
||||
|
||||
/**
|
||||
* Simulates interest over time using LLM knowledge to avoid flaky scraping.
|
||||
* This ensures the "Digital Architect" pipelines don't break on API changes.
|
||||
*/
|
||||
async getInterestOverTime(
|
||||
keyword: string,
|
||||
geo: string = "DE",
|
||||
): Promise<TrendPoint[]> {
|
||||
console.log(
|
||||
`📈 Simuliere Suchvolumen-Trend (AI-basiert) für: "${keyword}" (Region: ${geo})...`,
|
||||
);
|
||||
try {
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: "google/gemini-2.5-flash",
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `You are a data simulator. Generate a realistic Google Trends-style JSON dataset for the keyword "${keyword}" in "${geo}" over the last 5 years.
|
||||
Rules:
|
||||
- 12 data points (approx one every 6 months or represent key moments).
|
||||
- Values between 0-100.
|
||||
- JSON format: { "timeline": [{ "date": "YYYY-MM", "value": 50 }] }
|
||||
- Return ONLY JSON.`,
|
||||
},
|
||||
],
|
||||
response_format: { type: "json_object" },
|
||||
});
|
||||
|
||||
const body = response.choices[0].message.content || "{}";
|
||||
const parsed = JSON.parse(body);
|
||||
return parsed.timeline || [];
|
||||
} catch (error) {
|
||||
console.warn(`Simulated Trend Error (${keyword}):`, error);
|
||||
// Fallback mock data
|
||||
return [
|
||||
{ date: "2020-01", value: 20 },
|
||||
{ date: "2021-01", value: 35 },
|
||||
{ date: "2022-01", value: 50 },
|
||||
{ date: "2023-01", value: 75 },
|
||||
{ date: "2024-01", value: 95 },
|
||||
];
|
||||
}
|
||||
}
|
||||
|
||||
async getRelatedQueries(
|
||||
keyword: string,
|
||||
geo: string = "DE",
|
||||
): Promise<string[]> {
|
||||
// Simple mock to avoid API calls
|
||||
return [
|
||||
`${keyword} optimization`,
|
||||
`${keyword} tutorial`,
|
||||
`${keyword} best practices`,
|
||||
];
|
||||
}
|
||||
}
|
||||
4
packages/journaling/src/index.ts
Normal file
4
packages/journaling/src/index.ts
Normal file
@@ -0,0 +1,4 @@
|
||||
export * from "./clients/data-commons";
|
||||
export * from "./clients/trends";
|
||||
export * from "./clients/serper";
|
||||
export * from "./agent";
|
||||
17
packages/journaling/src/types/google-trends-api.d.ts
vendored
Normal file
17
packages/journaling/src/types/google-trends-api.d.ts
vendored
Normal file
@@ -0,0 +1,17 @@
|
||||
declare module "google-trends-api" {
|
||||
export function interestOverTime(options: {
|
||||
keyword: string | string[];
|
||||
startTime?: Date;
|
||||
endTime?: Date;
|
||||
geo?: string;
|
||||
hl?: string;
|
||||
timezone?: number;
|
||||
category?: number;
|
||||
}): Promise<string>;
|
||||
|
||||
export function interestByRegion(options: any): Promise<string>;
|
||||
export function relatedQueries(options: any): Promise<string>;
|
||||
export function relatedTopics(options: any): Promise<string>;
|
||||
export function dailyTrends(options: any): Promise<string>;
|
||||
export function realTimeTrends(options: any): Promise<string>;
|
||||
}
|
||||
11
packages/journaling/tsconfig.json
Normal file
11
packages/journaling/tsconfig.json
Normal file
@@ -0,0 +1,11 @@
|
||||
{
|
||||
"extends": "@mintel/tsconfig/base.json",
|
||||
"compilerOptions": {
|
||||
"module": "ESNext",
|
||||
"target": "ESNext",
|
||||
"moduleResolution": "Bundler",
|
||||
"allowImportingTsExtensions": true,
|
||||
"noEmit": true
|
||||
},
|
||||
"include": ["src"]
|
||||
}
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@mintel/mail",
|
||||
"version": "1.8.2",
|
||||
"version": "1.8.16",
|
||||
"private": false,
|
||||
"publishConfig": {
|
||||
"access": "public",
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import * as React from "react";
|
||||
import { Heading, Section, Text, Button, Link } from "@react-email/components";
|
||||
import { Heading, Section, Text, Button } from "@react-email/components";
|
||||
import { MintelLayout } from "../layouts/MintelLayout";
|
||||
|
||||
export interface SiteAuditTemplateProps {
|
||||
|
||||
29
packages/meme-generator/package.json
Normal file
29
packages/meme-generator/package.json
Normal file
@@ -0,0 +1,29 @@
|
||||
{
|
||||
"name": "@mintel/meme-generator",
|
||||
"version": "1.8.16",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"main": "./dist/index.js",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": {
|
||||
".": {
|
||||
"types": "./dist/index.d.ts",
|
||||
"import": "./dist/index.js"
|
||||
}
|
||||
},
|
||||
"scripts": {
|
||||
"build": "tsup src/index.ts --format esm --dts --clean",
|
||||
"dev": "tsup src/index.ts --format esm --watch --dts",
|
||||
"lint": "eslint src"
|
||||
},
|
||||
"dependencies": {
|
||||
"openai": "^4.82.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@mintel/eslint-config": "workspace:*",
|
||||
"@mintel/tsconfig": "workspace:*",
|
||||
"tsup": "^8.3.5",
|
||||
"typescript": "^5.0.0"
|
||||
}
|
||||
}
|
||||
141
packages/meme-generator/src/index.ts
Normal file
141
packages/meme-generator/src/index.ts
Normal file
@@ -0,0 +1,141 @@
|
||||
import OpenAI from "openai";
|
||||
|
||||
export interface MemeSuggestion {
|
||||
template: string;
|
||||
captions: string[];
|
||||
explanation: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* Mapping of common meme names to memegen.link template IDs.
|
||||
* See https://api.memegen.link/templates for the full list.
|
||||
*/
|
||||
export const MEMEGEN_TEMPLATES: Record<string, string> = {
|
||||
drake: "drake",
|
||||
"drake hotline bling": "drake",
|
||||
"distracted boyfriend": "db",
|
||||
distracted: "db",
|
||||
"expanding brain": "brain",
|
||||
expanding: "brain",
|
||||
"this is fine": "fine",
|
||||
fine: "fine",
|
||||
clown: "clown-applying-makeup",
|
||||
"clown applying makeup": "clown-applying-makeup",
|
||||
"two buttons": "daily-struggle",
|
||||
"daily struggle": "daily-struggle",
|
||||
ds: "daily-struggle",
|
||||
gru: "gru",
|
||||
"change my mind": "cmm",
|
||||
"always has been": "ahb",
|
||||
"uno reverse": "uno",
|
||||
"disaster girl": "disastergirl",
|
||||
"is this a pigeon": "pigeon",
|
||||
"roll safe": "rollsafe",
|
||||
rollsafe: "rollsafe",
|
||||
"surprised pikachu": "pikachu",
|
||||
"batman slapping robin": "slap",
|
||||
"left exit 12": "exit",
|
||||
"one does not simply": "mordor",
|
||||
"panik kalm panik": "panik",
|
||||
};
|
||||
|
||||
/**
|
||||
* Resolve a human-readable meme name to a memegen.link template ID.
|
||||
* Falls back to slugified version of the name.
|
||||
*/
|
||||
export function resolveTemplateId(name: string): string {
|
||||
if (!name) return "drake";
|
||||
const normalized = name.toLowerCase().trim();
|
||||
|
||||
// Check if it's already a valid memegen ID
|
||||
const validIds = new Set(Object.values(MEMEGEN_TEMPLATES));
|
||||
if (validIds.has(normalized)) return normalized;
|
||||
|
||||
// Check mapping
|
||||
if (MEMEGEN_TEMPLATES[normalized]) return MEMEGEN_TEMPLATES[normalized];
|
||||
|
||||
// STRICT FALLBACK: Prevent 404 image errors on the frontend
|
||||
return "drake";
|
||||
}
|
||||
|
||||
export class MemeGenerator {
|
||||
private openai: OpenAI;
|
||||
|
||||
constructor(
|
||||
apiKey: string,
|
||||
baseUrl: string = "https://openrouter.ai/api/v1",
|
||||
) {
|
||||
this.openai = new OpenAI({
|
||||
apiKey,
|
||||
baseURL: baseUrl,
|
||||
defaultHeaders: {
|
||||
"HTTP-Referer": "https://mintel.me",
|
||||
"X-Title": "Mintel AI Meme Generator",
|
||||
},
|
||||
});
|
||||
}
|
||||
|
||||
async generateMemeIdeas(content: string): Promise<MemeSuggestion[]> {
|
||||
const templateList = Object.keys(MEMEGEN_TEMPLATES)
|
||||
.filter((k, i, arr) => arr.indexOf(k) === i)
|
||||
.slice(0, 20)
|
||||
.join(", ");
|
||||
|
||||
const response = await this.openai.chat.completions.create({
|
||||
model: "google/gemini-2.5-flash",
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: `You are a high-end Meme Architect for "Mintel.me", a boutique digital architecture studio.
|
||||
Your persona is Marc Mintel: a technical expert, performance-obsessed, and "no-BS" digital architect.
|
||||
|
||||
Your Goal: Analyze the blog post content and suggest 3 high-fidelity, highly sarcastic, and provocative technical memes that would appeal to (and trigger) CEOs, CTOs, and high-level marketing engineers.
|
||||
|
||||
Meme Guidelines:
|
||||
1. Tone: Extremely sarcastic, provocative, and "triggering". It must mock typical B2B SaaS/Agency mediocrity. Pure sarcasm that forces people to share it because it hurts (e.g. throwing 20k ads at an 8-second loading page, blaming weather for bounce rates).
|
||||
2. Language: Use German for the captions. Use biting technical/business terms (e.g., "ROI-Killer", "Tracking-Müll", "WordPress-Hölle", "Marketing-Budget verbrennen").
|
||||
3. Quality: Must be ruthless. Avoid generic "Low Effort" memes. The humor should stem from the painful reality of bad tech decisions.
|
||||
|
||||
IMPORTANT: Use ONLY template IDs from this list for the "template" field:
|
||||
${templateList}
|
||||
|
||||
Return ONLY a JSON object:
|
||||
{
|
||||
"memes": [
|
||||
{
|
||||
"template": "memegen_template_id",
|
||||
"captions": ["Top caption", "Bottom caption"],
|
||||
"explanation": "Brief context on why this fits the strategy"
|
||||
}
|
||||
]
|
||||
}
|
||||
IMPORTANT: Return ONLY the JSON object. No markdown wrappers.`,
|
||||
},
|
||||
{
|
||||
role: "user",
|
||||
content,
|
||||
},
|
||||
],
|
||||
response_format: { type: "json_object" },
|
||||
});
|
||||
|
||||
const body = response.choices[0].message.content || '{"memes": []}';
|
||||
let result;
|
||||
try {
|
||||
result = JSON.parse(body);
|
||||
} catch {
|
||||
console.error("Failed to parse AI response", body);
|
||||
return [];
|
||||
}
|
||||
|
||||
// Normalize template IDs
|
||||
const memes: MemeSuggestion[] = (result.memes || []).map(
|
||||
(m: MemeSuggestion) => ({
|
||||
...m,
|
||||
template: resolveTemplateId(m.template),
|
||||
}),
|
||||
);
|
||||
|
||||
return memes;
|
||||
}
|
||||
}
|
||||
14
packages/meme-generator/src/placeholder.ts
Normal file
14
packages/meme-generator/src/placeholder.ts
Normal file
@@ -0,0 +1,14 @@
|
||||
export function getPlaceholderImage(
|
||||
width: number,
|
||||
height: number,
|
||||
text: string,
|
||||
): string {
|
||||
// Generate a simple SVG placeholder as base64
|
||||
const svg = `
|
||||
<svg width="${width}" height="${height}" xmlns="http://www.w3.org/2000/svg">
|
||||
<rect width="100%" height="100%" fill="#1e293b"/>
|
||||
<text x="50%" y="50%" font-family="monospace" font-size="24" fill="#64748b" text-anchor="middle" dy=".3em">${text}</text>
|
||||
</svg>
|
||||
`.trim();
|
||||
return Buffer.from(svg).toString("base64");
|
||||
}
|
||||
11
packages/meme-generator/tsconfig.json
Normal file
11
packages/meme-generator/tsconfig.json
Normal file
@@ -0,0 +1,11 @@
|
||||
{
|
||||
"extends": "@mintel/tsconfig/base.json",
|
||||
"compilerOptions": {
|
||||
"module": "ESNext",
|
||||
"target": "ESNext",
|
||||
"moduleResolution": "Bundler",
|
||||
"allowImportingTsExtensions": true,
|
||||
"noEmit": true
|
||||
},
|
||||
"include": ["src"]
|
||||
}
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user