颠覆搜索引擎未来：Deepseek与Kubernetes协同打造高效可扩展搜索系统

 import numpy as np

    
 import tensorflow as tf
    
  
    
 # 模拟构建文本向量表示
    
 def build_text_embedding(text, vocab, embedding_dim=128):
    
     tokens = text.lower().split()
    
     token_ids = [vocab.get(token, 0) for token in tokens]
    
     embeddings = tf.keras.layers.Embedding(input_dim=len(vocab)+1, output_dim=embedding_dim)
    
     return embeddings(np.array(token_ids))
    
  
    
 # 示例词典
    
 vocab = {"deep": 1, "search": 2, "engine": 3, "innovation": 4}
    
 sample_text = "Deep search engine innovation"
    
 embedding_result = build_text_embedding(sample_text, vocab)
    
 print("文本向量表示：", embedding_result.numpy())
    
    
    
    

 apiVersion: apps/v1

    
 kind: Deployment
    
 metadata:
    
   name: deepseek-deployment
    
 spec:
    
   replicas: 3
    
   selector:
    
     matchLabels:
    
       app: deepseek
    
   template:
    
     metadata:
    
       labels:
    
     app: deepseek
    
     spec:
    
       containers:
    
       - name: deepseek-container
    
     image: deepseek/search-engine:latest
    
     ports:
    
     - containerPort: 8080
    
     env:
    
     - name: INDEX_PATH
    
       value: "/data/index"
    
     # 健康检查
    
     readinessProbe:
    
       httpGet:
    
         path: /health
    
         port: 8080
    
       initialDelaySeconds: 5
    
       periodSeconds: 10
    
    
    
    

 import kubernetes

    
 from deepseek_client import DeepseekIndexer
    
  
    
 def auto_rebuild_index(event):
    
     # 判断是否达到触发条件（如查询量、数据更新量等）
    
     if event.metric > THRESHOLD:
    
     indexer = DeepseekIndexer(api_endpoint="http://deepseek-service:8080")
    
     indexer.rebuild_index()
    
     print("自动重建索引任务已启动。")
    
  
    
 # 监听 Kubernetes 事件
    
 def watch_k8s_events():
    
     kube_client = kubernetes.client.CoreV1Api()
    
     for event in kube_client.list_event_for_all_namespaces(watch=True).items:
    
     auto_rebuild_index(event)
    
  
    
 if __name__ == "__main__":
    
     watch_k8s_events()