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CustomAnalyzer Class

Allows you to take control over the process of converting text into indexable/searchable tokens. It's a user-defined configuration consisting of a single predefined tokenizer and one or more filters. The tokenizer is responsible for breaking text into tokens, and the filters for modifying tokens emitted by the tokenizer.

Constructor

CustomAnalyzer(*args: Any, **kwargs: Any)

Variables

Name Description
name
str

The name of the analyzer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. Required.
tokenizer_name
str or LexicalTokenizerName

The name of the tokenizer to use to divide continuous text into a sequence of tokens, such as breaking a sentence into words. Required. Known values are: "classic", "edgeNGram", "keyword_v2", "letter", "lowercase", "microsoft_language_tokenizer", "microsoft_language_stemming_tokenizer", "nGram", "path_hierarchy_v2", "pattern", "standard_v2", "uax_url_email", and "whitespace".
token_filters
list[str or TokenFilterName]

A list of token filters used to filter out or modify the tokens generated by a tokenizer. For example, you can specify a lowercase filter that converts all characters to lowercase. The filters are run in the order in which they are listed.
char_filters
list[str or CharFilterName]

A list of character filters used to prepare input text before it is processed by the tokenizer. For instance, they can replace certain characters or symbols. The filters are run in the order in which they are listed.
odata_type
str

A URI fragment specifying the type of analyzer. Required. Default value is "#Microsoft.Azure.Search.CustomAnalyzer".

Methods

as_dict

Return a dict that can be turned into json using json.dump.
clear

Remove all items from D.
copy
get

Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: D[k] if k in D, else d. :rtype: any
items
keys
pop

Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given.
popitem

Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if D is empty.
setdefault

Same as calling D.get(k, d), and setting D[k]=d if k not found :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: D[k] if k in D, else d. :rtype: any
update

Updates D from mapping/iterable E and F. :param any args: Either a mapping object or an iterable of key-value pairs.
values

as_dict

Return a dict that can be turned into json using json.dump.

as_dict(*, exclude_readonly: bool = False) -> dict[str, Any]

Keyword-Only Parameters

Name Description
exclude_readonly
bool

Whether to remove the readonly properties.

Default value: False

Returns

Type Description
dict

A dict JSON compatible object

clear

Remove all items from D.

clear() -> None

copy 

copy() -> Model

get

Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: D[k] if k in D, else d. :rtype: any

get(key: str, default: Any = None) -> Any

Parameters

Name Description
key
Required
default
Default value: None

items 

items() -> ItemsView[str, Any]

Returns

Type Description
ItemsView

set-like object providing a view on D's items

keys 

keys() -> KeysView[str]

Returns

Type Description
KeysView

a set-like object providing a view on D's keys

pop

Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given.

pop(key: str, default: ~typing.Any = <object object>) -> Any

Parameters

Name Description
key
Required
default

popitem

Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if D is empty.

popitem() -> tuple[str, Any]

setdefault

Same as calling D.get(k, d), and setting D[k]=d if k not found :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: D[k] if k in D, else d. :rtype: any

setdefault(key: str, default: ~typing.Any = <object object>) -> Any

Parameters

Name Description
key
Required
default

update

Updates D from mapping/iterable E and F. :param any args: Either a mapping object or an iterable of key-value pairs.

update(*args: Any, **kwargs: Any) -> None

values 

values() -> ValuesView[Any]

Returns

Type Description
ValuesView

an object providing a view on D's values

Attributes

char_filters

A list of character filters used to prepare input text before it is processed by the tokenizer. For instance, they can replace certain characters or symbols. The filters are run in the order in which they are listed.

char_filters: list[typing.Union[str, ForwardRef('_models.CharFilterName')]] | None

name

The name of the analyzer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. Required.

name: str

odata_type

A URI fragment specifying the type of analyzer. Required. Default value is "#Microsoft.Azure.Search.CustomAnalyzer".

odata_type: Literal['#Microsoft.Azure.Search.CustomAnalyzer']

token_filters

A list of token filters used to filter out or modify the tokens generated by a tokenizer. For example, you can specify a lowercase filter that converts all characters to lowercase. The filters are run in the order in which they are listed.

token_filters: list[typing.Union[str, ForwardRef('_models.TokenFilterName')]] | None

tokenizer_name

The name of the tokenizer to use to divide continuous text into a sequence of tokens, such as breaking a sentence into words. Required. Known values are: "classic", "edgeNGram", "keyword_v2", "letter", "lowercase", "microsoft_language_tokenizer", "microsoft_language_stemming_tokenizer", "nGram", "path_hierarchy_v2", "pattern", "standard_v2", "uax_url_email", and "whitespace".

tokenizer_name: str | _models.LexicalTokenizerName