特定格式文本資料加工樣本 - Simple Log Service

文檔中的實踐案例主要是根據實際工作中的工單需求產生。本文檔將從工單需求，加工編排等方面介紹如何使用LOG DSL編排解決任務需求。

非標準JSON對象轉JSON對象並展開

需要對收集的dict資料進行二次嵌套展開操作。首先將dict資料轉成JSON資料，再使用e_json函數進行展開即可。

原始日誌

content: {
  'referer': '-',
  'request': 'GET /phpMyAdmin',
  'status': 404,
  'data-1': {
    'aaa': 'Mozilla',
    'bbb': 'asde'
  },
  'data-2': {
    'up_adde': '-',
    'up_host': '-'
  }
}

資料加工語句

將上述content內容中的單引號轉換成雙引號，轉換成JSON格式資料。

e_set("content_json",str_replace(ct_str(v("content")),"'",'"'))

處理後的日誌為：

content: {
  'referer': '-',
  'request': 'GET /phpMyAdmin',
  'status': 404,
  'data-1': {
    'aaa': 'Mozilla',
    'bbb': 'asde'
  },
  'data-2': {
    'up_adde': '-',
    'up_host': '-'
  }
}
content_json:  {
  "referer": "-",
  "request": "GET /phpMyAdmin",
  "status": 404,
  "data-1": {
    "aaa": "Mozilla",
    "bbb": "asde"
  },
  "data-2": {
    "up_adde": "-",
    "up_host": "-"
  }
}

對經過處理後的標準化的content_json資料進行展開。例如要展開第一層只需要設定JSON中的depth參數為1即可。

e_json("content_json",depth=1,fmt='full')

展開的日誌為：

content_json.data-1.data-1:  {"aaa": "Mozilla", "bbb": "asde"}
content_json.data-2.data-2:  {"up_adde": "-", "up_host": "-"}
content_json.referer:  -
content_json.request:  GET /phpMyAdmin
content_json.status:  404

如果depth設定為2，則展開的日誌為：

content_json.data-1.aaa:  Mozilla
content_json.data-1.bbb:  asde
content_json.data-2.up_adde:  -
content_json.data-2.up_host:  -
content_json.referer:  -
content_json.request:  GET /phpMyAdmin
content_json.status:  404

綜上LOG DSL規則可以如以下形式：

e_set("content_json",str_replace(ct_str(v("content")),"'",'"'))
e_json("content_json",depth=2,fmt='full')

加工後資料

加工後的資料是按照depth為2處理的，具體形式如下：

content:  {
  'referer': '-',
  'request': 'GET /phpMyAdmin',
  'status': 404,
  'data-1': {
    'aaa': 'Mozilla',
    'bbb': 'asde'
  },
  'data-2': {
    'up_adde': '-',
    'up_host': '-'
  }
}
content_json:  {
  "referer": "-",
  "request": "GET /phpMyAdmin",
  "status": 404,
  "data-1": {
    "aaa": "Mozilla",
    "bbb": "asde"
  },
  "data-2": {
    "up_adde": "-",
    "up_host": "-"
  }
}
content_json.data-1.aaa:  Mozilla
content_json.data-1.bbb:  asde
content_json.data-2.up_adde:  -
content_json.data-2.up_host:  -
content_json.referer:  -
content_json.request:  GET /phpMyAdmin
content_json.status:  404

其他格式文本轉JSON展開

對一些非標準的JSON格式資料，如果進行展開可以通過組合規則的形式進行操作。

原始日誌

content : {
  "pod" => {
    "name" => "crm-learning-follow-7bc48f8b6b-m6kgb"
  }, "node" => {
    "name" => "tw5"
  }, "labels" => {
    "pod-template-hash" => "7bc48f8b6b", "app" => "crm-learning-follow"
  }, "container" => {
    "name" => "crm-learning-follow"
  }, "namespace" => "testing1"
}

資料加工語句
1. 首先將日誌格式轉換為JSON形式，可以使用str_logtash_config_normalize函數進行轉換，操作如下：
```
e_set("normalize_data",str_logtash_config_normalize(v("content")))
```
2. 可以使用JSON函數進行展開操作，具體如下：
```
e_json("normalize_data",depth=1,fmt='full')
```
3. 綜上LOG DSL規則可以如以下形式：
```
e_set("normalize_data",str_logtash_config_normalize(v("content")))
e_json("normalize_data",depth=1,fmt='full')
```

加工後資料

content : {
  "pod" => {
    "name" => "crm-learning-follow-7bc48f8b6b-m6kgb"
  }, "node" => {
    "name" => "tw5"
  }, "labels" => {
    "pod-template-hash" => "7bc48f8b6b", "app" => "crm-learning-follow"
  }, "container" => {
    "name" => "crm-learning-follow"
  }, "namespace" => "testing1"
}
normalize_data:  {
  "pod": {
    "name": "crm-learning-follow-7bc48f8b6b-m6kgb"
  },
  "node": {
    "name": "tw5"
  },
  "labels": {
    "pod-template-hash": "7bc48f8b6b",
    "app": "crm-learning-follow"
  },
  "container": {
    "name": "crm-learning-follow"
  },
  "namespace": "testing1"
}
normalize_data.container.container:  {"name": "crm-learning-follow"}
normalize_data.labels.labels:  {"pod-template-hash": "7bc48f8b6b", "app": "crm-learning-follow"}
normalize_data.namespace:  testing1
normalize_data.node.node:  {"name": "tw5"}
normalize_data.pod.pod:  {"name": "crm-learning-follow-7bc48f8b6b-m6kgb"}

部分文本特殊編碼轉換

在日常工作環境中，會遇到一些十六進位字元，需要對其解碼才能正常閱讀。可以使用str_hex_escape_encode函數對一些十六進位字元進行轉義操作。

原始日誌
```
content : "\xe4\xbd\xa0\xe5\xa5\xbd"
```

LOG DSL編排

e_set("hex_encode",str_hex_escape_encode(v("content")))

加工後資料

content : "\xe4\xbd\xa0\xe5\xa5\xbd"
hex_encode : "你好"

XML欄位展開

在工作中會遇到各種類型資料，例如xml資料。如果要展開xml資料可以使用xml_to_json函數處理。

測試日誌

str : <?xmlversion="1.0"?>
<data>
    <countryname="Liechtenstein">
        <rank>1</rank>
        <year>2008</year>
        <gdppc>141100</gdppc>
        <neighborname="Austria"direction="E"/>
        <neighborname="Switzerland"direction="W"/>
    </country>
    <countryname="Singapore">
        <rank>4</rank>
        <year>2011</year>
        <gdppc>59900</gdppc>
        <neighborname="Malaysia"direction="N"/>
    </country>
    <countryname="Panama">
        <rank>68</rank>
        <year>2011</year>
        <gdppc>13600</gdppc>
        <neighborname="Costa Rica"direction="W"/>
        <neighborname="Colombia"direction="E"/>
    </country>
</data>

LOG DSL編排
```
e_set("str_json",xml_to_json(v("str")))
```

加工後的日誌

str : <?xmlversion="1.0"?>
<data>
    <countryname="Liechtenstein">
        <rank>1</rank>
        <year>2008</year>
        <gdppc>141100</gdppc>
        <neighborname="Austria"direction="E"/>
        <neighborname="Switzerland"direction="W"/>
    </country>
    <countryname="Singapore">
        <rank>4</rank>
        <year>2011</year>
        <gdppc>59900</gdppc>
        <neighborname="Malaysia"direction="N"/>
    </country>
    <countryname="Panama">
        <rank>68</rank>
        <year>2011</year>
        <gdppc>13600</gdppc>
        <neighborname="Costa Rica"direction="W"/>
        <neighborname="Colombia"direction="E"/>
    </country>
</data>
str_dict :{
  "data": {
    "country": [{
      "@name": "Liechtenstein",
      "rank": "1",
      "year": "2008",
      "gdppc": "141100",
      "neighbor": [{
        "@name": "Austria",
        "@direction": "E"
      }, {
        "@name": "Switzerland",
        "@direction": "W"
      }]
    }, {
      "@name": "Singapore",
      "rank": "4",
      "year": "2011",
      "gdppc": "59900",
      "neighbor": {
        "@name": "Malaysia",
        "@direction": "N"
      }
    }, {
      "@name": "Panama",
      "rank": "68",
      "year": "2011",
      "gdppc": "13600",
      "neighbor": [{
        "@name": "Costa Rica",
        "@direction": "W"
      }, {
        "@name": "Colombia",
        "@direction": "E"
      }]
    }]
  }
}