zhanggangyong
e67aec11ef
- stock_quote_agent: 美股实时行情查询 - stock_news_agent: 美股新闻资讯分析 - stock_analysis_agent: 美股技术分析 更新: - 添加 agent 代码到 agent_templates/agents/ - 更新 k8s_manager.py TEMPLATE_PORTS - 添加构建和部署脚本
57 lines
1.9 KiB
Bash
57 lines
1.9 KiB
Bash
#!/bin/bash
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# 构建三个美股 Agent 镜像并推送到 ACR
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# 使用方法: ./build_stock_agents.sh
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set -e
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echo "=========================================="
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echo "构建美股 Agent 镜像并推送到 ACR"
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echo "=========================================="
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# 登录 ACR
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echo ""
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echo "=== 步骤 1: 登录 ACR ==="
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az acr login --name agnettaiji
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cd /home/taiji/tools/agent-manager
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# 构建 stock-quote-agent
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echo ""
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echo "=== 步骤 2: 构建 stock-quote-agent (ARM64) ==="
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docker buildx build --platform linux/arm64 \
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-t agnettaiji.azurecr.io/ai-agents/stock-quote-agent:latest \
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-f agent_templates/agents/stock_quote_agent/stock_quote_agent.Dockerfile \
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agent_templates/ --push
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echo "✅ stock-quote-agent 推送完成"
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# 构建 stock-news-agent
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echo ""
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echo "=== 步骤 3: 构建 stock-news-agent (ARM64) ==="
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docker buildx build --platform linux/arm64 \
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-t agnettaiji.azurecr.io/ai-agents/stock-news-agent:latest \
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-f agent_templates/agents/stock_news_agent/stock_news_agent.Dockerfile \
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agent_templates/ --push
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echo "✅ stock-news-agent 推送完成"
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# 构建 stock-analysis-agent
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echo ""
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echo "=== 步骤 4: 构建 stock-analysis-agent (ARM64) ==="
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docker buildx build --platform linux/arm64 \
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-t agnettaiji.azurecr.io/ai-agents/stock-analysis-agent:latest \
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-f agent_templates/agents/stock_analysis_agent/stock_analysis_agent.Dockerfile \
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agent_templates/ --push
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echo "✅ stock-analysis-agent 推送完成"
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echo ""
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echo "=========================================="
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echo "✅ 所有镜像构建并推送完成！"
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echo "=========================================="
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echo ""
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echo "镜像列表:"
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echo " - agnettaiji.azurecr.io/ai-agents/stock-quote-agent:latest"
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echo " - agnettaiji.azurecr.io/ai-agents/stock-news-agent:latest"
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echo " - agnettaiji.azurecr.io/ai-agents/stock-analysis-agent:latest"
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echo ""
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echo "下一步: 重启 agent-manager 以加载新模板"
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echo " kubectl rollout restart deployment/agent-manager -n agent-manager"
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