56 lines
1.5 KiB
Bash
56 lines
1.5 KiB
Bash
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#!/bin/bash
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# Kibana 索引模式 + 基础仪表板初始化
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# 用法: ./setup_kibana.sh [KIBANA_URL]
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#
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# 前置: Elasticsearch + Kibana 已运行
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# 开发: http://localhost:5601
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# 预发布: http://localhost:5602
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# 生产: http://localhost:5601
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KIBANA_URL="${1:-http://localhost:5601}"
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ES_URL="${2:-http://localhost:9200}"
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echo "=== 天工智能体 ELK — Kibana 初始化 ==="
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echo "Kibana: $KIBANA_URL"
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echo "ES: $ES_URL"
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# 1. 等待 Kibana 就绪
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echo "等待 Kibana 就绪..."
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for i in $(seq 1 30); do
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if curl -s -o /dev/null "$KIBANA_URL/api/status"; then
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echo "Kibana 已就绪"
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break
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fi
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echo " 等待中... ($i/30)"
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sleep 5
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done
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# 2. 创建 Index Pattern
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echo ""
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echo "创建 Index Pattern: aiagent-logs-*"
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curl -s -X POST "$KIBANA_URL/api/data_views/data_view" \
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-H "Content-Type: application/json" \
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-H "kbn-xsrf: true" \
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-d '{
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"data_view": {
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"title": "aiagent-logs-*",
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"name": "天工应用日志",
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"timeFieldName": "timestamp"
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}
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}' | python3 -m json.tool 2>/dev/null || echo "(可能已存在，忽略错误)"
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# 3. 确认索引有数据
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echo ""
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echo "检查 Elasticsearch 索引:"
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curl -s "$ES_URL/_cat/indices/aiagent-logs-*?v"
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echo ""
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echo "=== 完成 ==="
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echo "Kibana: $KIBANA_URL"
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echo "Discover: $KIBANA_URL/app/discover"
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echo ""
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echo "提示: 在 Kibana 中手动创建 Dashboard："
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echo " 1. 打开 Discover → 选择 aiagent-logs-*"
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echo " 2. 创建 Visualization (柱状图按 level / 折线图按时间)"
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echo " 3. 保存为 Dashboard"
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