add RAG Worker deploy + reranker test to CI/CD

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

.gitea/workflows/deploy.yml

@@ -84,6 +84,41 @@ jobs:
             $ENV_FILE \
             zhixi-api:latest
 
+      - name: Deploy RAG Worker
+        run: |
+          WORKER_DIR="/opt/zhixi/backend/rag-worker"
+          mkdir -p "$WORKER_DIR"
+
+          # Sync worker code from checkout (exclude .env to avoid overwriting secrets)
+          rsync -av --delete --exclude='.env' --exclude='__pycache__' \
+            /tmp/api-server/rag-worker/ "$WORKER_DIR/"
+
+          # Install any new Python dependencies
+          /usr/bin/python3.11 -m pip install -r "$WORKER_DIR/requirements.txt" \
+            -i https://mirrors.tencentyun.com/pypi/simple 2>&1 | tail -3
+
+          # Reload systemd and restart worker
+          systemctl daemon-reload
+          systemctl restart zhixi-worker
+          sleep 3
+          systemctl is-active zhixi-worker && echo "[deploy] zhixi-worker restarted OK"
+
+          # Test reranker
+          cd "$WORKER_DIR"
+          /usr/bin/python3.11 -c "
+          import asyncio
+          from reranker import rerank
+          async def t():
+              r = await rerank('什么是主动回忆', [
+                  '主动回忆是一种高效的学习策略，通过主动从记忆中提取信息来强化神经连接',
+                  '苹果是一种常见的水果，富含维生素C',
+                  '间隔重复和主动回忆结合使用效果更佳',
+              ], top_n=2)
+              for x in r:
+                  print(f'[rerank-test] score={x[\"score\"]:.4f} text={x[\"text\"][:40]}')
+          asyncio.run(t())
+          " && echo "[deploy] Reranker test OK"
+
       - name: Health check
         run: |
           sleep 8