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映射字符过滤器

编辑

映射字符过滤器

编辑

mapping 字符过滤器接受键值对的映射。每当遇到与键相同的字符串时，它会将其替换为与该键关联的值。

匹配是贪婪的；在给定点匹配的最长模式获胜。允许替换为空字符串。

mapping 过滤器使用 Lucene 的 MappingCharFilter。

示例

编辑

以下分析 API 请求使用 mapping 过滤器将印度-阿拉伯数字 (٠‎١٢٣٤٥٦٧٨‎٩‎) 转换为阿拉伯-拉丁语等效数字 (0123456789)，将文本 My license plate is ٢٥٠١٥ 更改为 My license plate is 25015。

resp = client.indices.analyze(
    tokenizer="keyword",
    char_filter=[
        {
            "type": "mapping",
            "mappings": [
                "٠ => 0",
                "١ => 1",
                "٢ => 2",
                "٣ => 3",
                "٤ => 4",
                "٥ => 5",
                "٦ => 6",
                "٧ => 7",
                "٨ => 8",
                "٩ => 9"
            ]
        }
    ],
    text="My license plate is ٢٥٠١٥",
)
print(resp)

response = client.indices.analyze(
  body: {
    tokenizer: 'keyword',
    char_filter: [
      {
        type: 'mapping',
        mappings: [
          '٠ => 0',
          '١ => 1',
          '٢ => 2',
          '٣ => 3',
          '٤ => 4',
          '٥ => 5',
          '٦ => 6',
          '٧ => 7',
          '٨ => 8',
          '٩ => 9'
        ]
      }
    ],
    text: 'My license plate is ٢٥٠١٥'
  }
)
puts response

const response = await client.indices.analyze({
  tokenizer: "keyword",
  char_filter: [
    {
      type: "mapping",
      mappings: [
        "٠ => 0",
        "١ => 1",
        "٢ => 2",
        "٣ => 3",
        "٤ => 4",
        "٥ => 5",
        "٦ => 6",
        "٧ => 7",
        "٨ => 8",
        "٩ => 9",
      ],
    },
  ],
  text: "My license plate is ٢٥٠١٥",
});
console.log(response);

GET /_analyze
{
  "tokenizer": "keyword",
  "char_filter": [
    {
      "type": "mapping",
      "mappings": [
        "٠ => 0",
        "١ => 1",
        "٢ => 2",
        "٣ => 3",
        "٤ => 4",
        "٥ => 5",
        "٦ => 6",
        "٧ => 7",
        "٨ => 8",
        "٩ => 9"
      ]
    }
  ],
  "text": "My license plate is ٢٥٠١٥"
}

过滤器产生以下文本

[ My license plate is 25015 ]

可配置参数

编辑

mappings

(必需*，字符串数组) 映射数组，每个元素的形式为 key => value。

必须指定此参数或 mappings_path 参数。

mappings_path

(必需*，字符串) 包含 key => value 映射的文件路径。

此路径必须是绝对路径或相对于 config 位置的相对路径，并且该文件必须使用 UTF-8 编码。文件中的每个映射必须以换行符分隔。

必须指定此参数或 mappings 参数。

自定义并添加到分析器

编辑

要自定义 mappings 过滤器，请复制它以创建新的自定义字符过滤器的基础。您可以使用其可配置参数修改过滤器。

以下创建索引 API 请求使用自定义 mappings 过滤器 my_mappings_char_filter 配置新的自定义分析器。

my_mappings_char_filter 过滤器将 :) 和 :( 表情符号替换为等效的文本。

resp = client.indices.create(
    index="my-index-000001",
    settings={
        "analysis": {
            "analyzer": {
                "my_analyzer": {
                    "tokenizer": "standard",
                    "char_filter": [
                        "my_mappings_char_filter"
                    ]
                }
            },
            "char_filter": {
                "my_mappings_char_filter": {
                    "type": "mapping",
                    "mappings": [
                        ":) => _happy_",
                        ":( => _sad_"
                    ]
                }
            }
        }
    },
)
print(resp)

response = client.indices.create(
  index: 'my-index-000001',
  body: {
    settings: {
      analysis: {
        analyzer: {
          my_analyzer: {
            tokenizer: 'standard',
            char_filter: [
              'my_mappings_char_filter'
            ]
          }
        },
        char_filter: {
          my_mappings_char_filter: {
            type: 'mapping',
            mappings: [
              ':) => _happy_',
              ':( => _sad_'
            ]
          }
        }
      }
    }
  }
)
puts response

const response = await client.indices.create({
  index: "my-index-000001",
  settings: {
    analysis: {
      analyzer: {
        my_analyzer: {
          tokenizer: "standard",
          char_filter: ["my_mappings_char_filter"],
        },
      },
      char_filter: {
        my_mappings_char_filter: {
          type: "mapping",
          mappings: [":) => _happy_", ":( => _sad_"],
        },
      },
    },
  },
});
console.log(response);

PUT /my-index-000001
{
  "settings": {
    "analysis": {
      "analyzer": {
        "my_analyzer": {
          "tokenizer": "standard",
          "char_filter": [
            "my_mappings_char_filter"
          ]
        }
      },
      "char_filter": {
        "my_mappings_char_filter": {
          "type": "mapping",
          "mappings": [
            ":) => _happy_",
            ":( => _sad_"
          ]
        }
      }
    }
  }
}

以下分析 API 请求使用自定义 my_mappings_char_filter 将文本 I'm delighted about it :( 中的 :( 替换为 _sad_。

resp = client.indices.analyze(
    index="my-index-000001",
    tokenizer="keyword",
    char_filter=[
        "my_mappings_char_filter"
    ],
    text="I'm delighted about it :(",
)
print(resp)

const response = await client.indices.analyze({
  index: "my-index-000001",
  tokenizer: "keyword",
  char_filter: ["my_mappings_char_filter"],
  text: "I'm delighted about it :(",
});
console.log(response);

GET /my-index-000001/_analyze
{
  "tokenizer": "keyword",
  "char_filter": [ "my_mappings_char_filter" ],
  "text": "I'm delighted about it :("
}

过滤器产生以下文本

[ I'm delighted about it _sad_ ]

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