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/apps/backend/src/matcher-results.js

@@ -0,0 +1,9 @@
+export function normalizeMatches(result) {
+  return (result.matches || []).map((match) => ({
+    id: match.photoId,
+    label: match.label || match.photoId,
+    checkpoint: match.checkpoint || '-',
+    thumb: match.thumb || match.photoId,
+    score: match.score ?? null
+  }));
+}