feat: add processor service with Redis-backed job queue

- Introduced a new `processor` service in the Docker Compose setup to handle face matching jobs.
- Configured Redis as a job queue and state management system for processing searches.
- Updated the backend to enqueue jobs and manage user locks using Redis.
- Added environment variables for Redis configuration and runtime paths.
- Created technical design documentation for the processor service outlining architecture, queue model, and search lifecycle.
- Updated package.json and package-lock.json to include dependencies for BullMQ and ioredis in the processor workspace.
- Added sample PKL files for local testing in the `test_pkl` directory.

faceai/package.json

@@ -3,14 +3,17 @@
   "private": true,
   "workspaces": [
     "apps/frontend",
-    "apps/backend"
+    "apps/backend",
+    "apps/processor"
   ],
   "scripts": {
     "dev": "concurrently \"npm:dev:backend\" \"npm:dev:frontend\"",
     "dev:backend": "npm run dev --workspace @regalami/faceai-backend",
     "dev:frontend": "npm run dev --workspace @regalami/faceai-frontend",
+    "dev:processor": "npm run dev --workspace @regalami/faceai-processor",
     "build": "npm run build --workspace @regalami/faceai-frontend && npm run build --workspace @regalami/faceai-backend",
-    "start": "npm run start --workspace @regalami/faceai-backend"
+    "start": "npm run start --workspace @regalami/faceai-backend",
+    "start:processor": "npm run start --workspace @regalami/faceai-processor"
   },
   "devDependencies": {
     "concurrently": "^9.1.2"