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获取未恢复事件的列表



POST /api/v1/events/abnormal/list

概述

获取指定时间范围内的未恢复事件(相同df_monitor_checker_event_ref的最近一条事件状态不为ok)列表,一般查询最近6小时的数据;

Body 请求参数

参数名 类型 必选 说明
search string 搜索事件标题
允许为空: False
lastStatus string 最后状态
允许为空: False
例子: critical
可选值: ['critical', 'error', 'warning', 'nodata']
timeRange array Y 时间范围, 默认取最近6小时,时差不超过6小时
允许为空: False
$minLength: 2
最大长度: 2
例子: [1642563283250, 1642563304850]
timeRange[*] integer Y 毫秒级整数时间戳
允许为空: False
filters array 过滤条件列表
允许为空: False
offset integer 偏移量
允许为空: False
例子: 10
$minValue: 0
limit integer 每页返回数量
允许为空: False
例子: 10
$minValue: 1
$maxValue: 100

参数补充说明

参数说明:

模板的基础结构组成包含: 视图结构(含图表结构, 视图变量结构,图表分组结构)

filters的主体结构说明

参数名 type 必选 说明
condition string 与前一个过滤条件的关系,可选值:and, or; 默认值: and
filters array 子过滤条件,相当于是加了一层括号, 存在当前参数时,仅有condition生效, 其他参数将失效
name string 待过滤的字段名
operation string 运算符, 可选值: >, >=, <, <=, =, !=, in, wildcard, query_string, exists
value array 值列表
value[#] string/int/boolean 可为字符串/数值/布尔类型, 在比较数据时将根据operation的特性从value中取特定元素比较,例如,operation=时,仅value[0]参与运算

** filters 举例

[
  {
      "name": "A",
      "condition": "and",
      "operation": "between",
      "value": [1577410594000, 1577410494000]
  },
  {
      "condition": "and",
      "filters": [
          {
              "name": "tagA",
              "condition": "and",
              "operation": ">",
              "value": 12,
          },
          {
              "name": "tagB",
              "condition": "and",
              "operation": "=",
              "value": ["fff"]
          }
      ],
  },
  {
      "name": "tagC",
      "condition": "and",
      "operation": "=",
      "value": ["ok"]
  }
]

请求例子

curl 'https://openapi.guance.com/api/v1/events/abnormal/list' \
-H 'DF-API-KEY: <DF-API-KEY>' \
-H 'Content-Type: application/json;charset=UTF-8' \
--data-raw '{"offset": 0, "limit": 10, "timeRange": [1642563283250, 1642563304850]}' \
--compressed 

响应

{
    "code": 200,
    "content": {
        "data": [
            {
                "__docid": "E_c7jodqs24loo3v53qc50",
                "alert_time_ranges": [
                    [
                        1642541760000,
                        null
                    ]
                ],
                "date": 1642563300000,
                "df_dimension_tags": "{\"host\":\"10-23-190-37\"}",
                "df_event_id": "event-6ea0350eda12405dad9c1cba4b28cdc3",
                "df_message": "critical\ncpu\n0.010000123409284342",
                "df_meta": "{\"alerts_sent\":[],\"check_targets\":[{\"alias\":\"Result\",\"dql\":\"M::`cpu`:(NON_NEGATIVE_DERIVATIVE(`usage_user`) AS `钉钉`) { `host` = '10-23-190-37' } BY `host`\",\"range\":3600}],\"checker_opt\":{\"id\":\"rul_e2313e92e30c472ab85e635d85d36e5b\",\"interval\":60,\"message\":\"{{ df_status }}\\n{{ df_monitor_checker_name }}\\n{{ Result }}\",\"name\":\"cpu\",\"noDataInterval\":0,\"recoverInterval\":0,\"rules\":[{\"conditionLogic\":\"and\",\"conditions\":[{\"alias\":\"Result\",\"operands\":[\"0.01\"],\"operator\":\">=\"}],\"status\":\"critical\"}],\"title\":\"对对对\"},\"dimension_tags\":{\"host\":\"10-23-190-37\"},\"extra_data\":{\"type\":\"simpleCheck\"},\"monitor_opt\":{\"id\":\"monitor_3f5e5d2108f74e07b8fb1e7459aae2b8\",\"name\":\"默认分组\",\"type\":\"default\"}}",
                "df_monitor_checker_event_ref": "320fed7a6dd82a0bcb2a539248e6bedc",
                "df_status": "critical",
                "df_title": "对对对"
            },
            {
                "__docid": "E_c7jodqs24loo3v53qc4g",
                "alert_time_ranges": [
                    [
                        1642541760000,
                        null
                    ]
                ],
                "date": 1642563300000,
                "df_dimension_tags": "{\"host\":\"10-23-190-37\"}",
                "df_event_id": "event-d2366597f7244ae099d3fbda07d8ec5f",
                "df_message": "critical\ncpu\n0.010000123409284342",
                "df_meta": "{\"alerts_sent\":[],\"check_targets\":[{\"alias\":\"Result\",\"dql\":\"M::`cpu`:(NON_NEGATIVE_DERIVATIVE(`usage_user`) AS `钉钉`) { `host` = '10-23-190-37' } BY `host`\",\"range\":3600}],\"checker_opt\":{\"id\":\"rul_3797973b2145425688c0517651f65409\",\"interval\":60,\"message\":\"{{ df_status }}\\n{{ df_monitor_checker_name }}\\n{{ Result }}\",\"name\":\"cpu\",\"noDataInterval\":0,\"recoverInterval\":0,\"rules\":[{\"conditionLogic\":\"and\",\"conditions\":[{\"alias\":\"Result\",\"operands\":[\"0.01\"],\"operator\":\">=\"}],\"status\":\"critical\"}],\"title\":\"对对对\"},\"dimension_tags\":{\"host\":\"10-23-190-37\"},\"extra_data\":{\"type\":\"simpleCheck\"},\"monitor_opt\":{\"id\":\"monitor_3f5e5d2108f74e07b8fb1e7459aae2b8\",\"name\":\"默认分组\",\"type\":\"default\"}}",
                "df_monitor_checker_event_ref": "899faaa6f042871f32fc58fe53b16e46",
                "df_status": "critical",
                "df_title": "对对对"
            }
        ],
        "limit": 20,
        "offset": 0,
        "total_count": 2
    },
    "errorCode": "",
    "message": "",
    "success": true,
    "traceId": "TRACE-4D5773BE-88B1-4167-A2F4-603A58404184"
} 

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