Data Processing
自动识别常见日志格式，提取核心字段并推断字段类型，支持导出为 JSON、CSV 或 SQL。
用三种语言从你的代码中调用此工具。
# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/structured-log-analyzer' \
-H 'Content-Type: application/json' \
-d '{"filename":"logFile.ext","contentType":"application/octet-stream","size":12345}'
# 2) PUT the file bytes directly to the presigned uploadUrl
curl -X PUT '<presigned uploadUrl>' \
--data-binary @/path/to/file.ext
# 3) Call the tool, passing the returned storageKey for each file field
curl -X POST 'https://api.elysiatools.com/zh/api/tools/structured-log-analyzer' \
-F 'logInput={"level":"error","service":"billing","message":"Charge failed"}
Mar 10 14:03:02 host app[123]: INFO Worker started' \
-F 'logFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
-F 'exportFormat=csv' \
-F 'aggregateMultiline=true' \
-F 'customRegex=^(?<timestamp>\S+) (?<level>\w+) (?<source>\w+) (?<message>.+)$'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST https://api.elysiatools.com/zh/api/tools/structured-log-analyzer| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| logInput | textarea | 否 | — |
| logFile | file需先上传 | 否 | — |
| exportFormat | select | 否 | — |
| aggregateMultiline | checkbox | 否 | — |
| customRegex | text | 否 | — |
HTML 结果
{
"result": "<div>Processed HTML content</div>",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}将此工具加入你的 Model Context Protocol 服务，让 AI 智能体可以列出并调用它。
将以下内容加入你的 MCP 客户端配置：
{
"mcpServers": {
"elysiatools-structured-log-analyzer": {
"name": "structured-log-analyzer",
"description": "自动识别常见日志格式，提取核心字段并推断字段类型，支持导出为 JSON、CSV 或 SQL。",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=structured-log-analyzer",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}连接到 SSE 端点后，列出已开放的工具：
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}通过工具 id 调用，参数由其参数表构建：
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "structured-log-analyzer",
"arguments": {
"logInput": "{\"level\":\"error\",\"service\":\"billing\",\"message\":\"Charge failed\"}\nMar 10 14:03:02 host app[123]: INFO Worker started",
"logFile": "https://example.com/file.ext",
"exportFormat": "csv",
"aggregateMultiline": true,
"customRegex": "^(?<timestamp>\\S+) (?<level>\\w+) (?<source>\\w+) (?<message>.+)$"
}
}
}有问题或反馈？请联系 [email protected]