html strip character filter

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html strip character filter

Strips html elements from a text and replaces html entities with their decoded value (e.g, replaces & with &).

The html_strip filter uses Lucene’s htmlStripCharFilter.

Example

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The following analyze API request uses the html_strip filter to change the text I'm so happy! to \nI'm so happy!\n.

resp = client.indices.analyze(
    tokenizer="keyword",
    char_filter=[
        "html_strip"
    ],
    text="I&apos;m so happy</b>!</p>",
)
print(resp)

response = client.indices.analyze(
  body: {
    tokenizer: 'keyword',
    char_filter: [
      'html_strip'
    ],
    text: 'I&apos;m so happy</b>!</p>'
  }
)
puts response

const response = await client.indices.analyze({
  tokenizer: "keyword",
  char_filter: ["html_strip"],
  text: "I&apos;m so happy</b>!</p>",
});
console.log(response);

GET /_analyze
{
  "tokenizer": "keyword",
  "char_filter": [
    "html_strip"
  ],
  "text": "<p>I&apos;m so <b>happy</b>!</p>"
}

The filter produces the following text:

[ \nI'm so happy!\n ]

Add to an analyzer

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The following create index API request uses the html_strip filter to configure a new custom analyzer.

resp = client.indices.create(
    index="my-index-000001",
    settings={
        "analysis": {
            "analyzer": {
                "my_analyzer": {
                    "tokenizer": "keyword",
                    "char_filter": [
                        "html_strip"
                    ]
                }
            }
        }
    },
)
print(resp)

response = client.indices.create(
  index: 'my-index-000001',
  body: {
    settings: {
      analysis: {
        analyzer: {
          my_analyzer: {
            tokenizer: 'keyword',
            char_filter: [
              'html_strip'
            ]
          }
        }
      }
    }
  }
)
puts response

const response = await client.indices.create({
  index: "my-index-000001",
  settings: {
    analysis: {
      analyzer: {
        my_analyzer: {
          tokenizer: "keyword",
          char_filter: ["html_strip"],
        },
      },
    },
  },
});
console.log(response);

PUT /my-index-000001
{
  "settings": {
    "analysis": {
      "analyzer": {
        "my_analyzer": {
          "tokenizer": "keyword",
          "char_filter": [
            "html_strip"
          ]
        }
      }
    }
  }
}

Configurable parameters

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escaped_tags: (Optional, array of strings) Array of html elements without enclosing angle brackets (< >). The filter skips these html elements when stripping html from the text. For example, a value of [ "p" ] skips the  html element.

Customize

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To customize the html_strip filter, duplicate it to create the basis for a new custom character filter. You can modify the filter using its configurable parameters.

The following create index API request configures a new custom analyzer using a custom html_strip filter, my_custom_html_strip_char_filter.

The my_custom_html_strip_char_filter filter skips the removal of the  html element.

resp = client.indices.create(
    index="my-index-000001",
    settings={
        "analysis": {
            "analyzer": {
                "my_analyzer": {
                    "tokenizer": "keyword",
                    "char_filter": [
                        "my_custom_html_strip_char_filter"
                    ]
                }
            },
            "char_filter": {
                "my_custom_html_strip_char_filter": {
                    "type": "html_strip",
                    "escaped_tags": [
                        "b"
                    ]
                }
            }
        }
    },
)
print(resp)

response = client.indices.create(
  index: 'my-index-000001',
  body: {
    settings: {
      analysis: {
        analyzer: {
          my_analyzer: {
            tokenizer: 'keyword',
            char_filter: [
              'my_custom_html_strip_char_filter'
            ]
          }
        },
        char_filter: {
          my_custom_html_strip_char_filter: {
            type: 'html_strip',
            escaped_tags: [
              'b'
            ]
          }
        }
      }
    }
  }
)
puts response

const response = await client.indices.create({
  index: "my-index-000001",
  settings: {
    analysis: {
      analyzer: {
        my_analyzer: {
          tokenizer: "keyword",
          char_filter: ["my_custom_html_strip_char_filter"],
        },
      },
      char_filter: {
        my_custom_html_strip_char_filter: {
          type: "html_strip",
          escaped_tags: ["b"],
        },
      },
    },
  },
});
console.log(response);

PUT my-index-000001
{
  "settings": {
    "analysis": {
      "analyzer": {
        "my_analyzer": {
          "tokenizer": "keyword",
          "char_filter": [
            "my_custom_html_strip_char_filter"
          ]
        }
      },
      "char_filter": {
        "my_custom_html_strip_char_filter": {
          "type": "html_strip",
          "escaped_tags": [
            "b"
          ]
        }
      }
    }
  }
}

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