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.
All required parameters must be populated in order to send to Azure.
- Inheritance
-
azure.search.documents.indexes._generated.models._models_py3.LexicalAnalyzerCustomAnalyzer
Constructor
CustomAnalyzer(**kwargs)
Variables
Name | Description |
---|---|
odata_type
|
Required. Identifies the concrete type of the analyzer.Constant filled by server. |
name
|
Required. 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. |
tokenizer_name
|
Required. The name of the tokenizer to use to divide continuous text into a sequence of tokens, such as breaking a sentence into words. Possible values include: "classic", "edgeNGram", "keyword_v2", "letter", "lowercase", "microsoft_language_tokenizer", "microsoft_language_stemming_tokenizer", "nGram", "path_hierarchy_v2", "pattern", "standard_v2", "uax_url_email", "whitespace". |
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. |
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. |
Methods
as_dict |
Return a dict that can be serialized using json.dump. Advanced usage might optionally use a callback as parameter: Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains 'type' with the msrest type and 'key' with the RestAPI encoded key. Value is the current value in this object. The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict. See the three examples in this file:
If you want XML serialization, you can pass the kwargs is_xml=True. |
deserialize |
Parse a str using the RestAPI syntax and return a model. |
enable_additional_properties_sending | |
from_dict |
Parse a dict using given key extractor return a model. By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor) |
is_xml_model | |
serialize |
Return the JSON that would be sent to server from this model. This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False). If you want XML serialization, you can pass the kwargs is_xml=True. |
as_dict
Return a dict that can be serialized using json.dump.
Advanced usage might optionally use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains 'type' with the msrest type and 'key' with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
as_dict(keep_readonly: bool = True, key_transformer: ~typing.Callable[[str, ~typing.Dict[str, ~typing.Any], ~typing.Any], ~typing.Any] = <function attribute_transformer>, **kwargs: ~typing.Any) -> MutableMapping[str, Any]
Parameters
Name | Description |
---|---|
key_transformer
|
<xref:function>
A key transformer function. |
keep_readonly
|
Default value: True
|
Returns
Type | Description |
---|---|
A dict JSON compatible object |
deserialize
Parse a str using the RestAPI syntax and return a model.
deserialize(data: Any, content_type: str | None = None) -> ModelType
Parameters
Name | Description |
---|---|
data
Required
|
A str using RestAPI structure. JSON by default. |
content_type
|
JSON by default, set application/xml if XML. Default value: None
|
Returns
Type | Description |
---|---|
An instance of this model |
Exceptions
Type | Description |
---|---|
DeserializationError if something went wrong
|
enable_additional_properties_sending
enable_additional_properties_sending() -> None
from_dict
Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
from_dict(data: Any, key_extractors: Callable[[str, Dict[str, Any], Any], Any] | None = None, content_type: str | None = None) -> ModelType
Parameters
Name | Description |
---|---|
data
Required
|
A dict using RestAPI structure |
content_type
|
JSON by default, set application/xml if XML. Default value: None
|
key_extractors
|
Default value: None
|
Returns
Type | Description |
---|---|
An instance of this model |
Exceptions
Type | Description |
---|---|
DeserializationError if something went wrong
|
is_xml_model
is_xml_model() -> bool
serialize
Return the JSON that would be sent to server from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
serialize(keep_readonly: bool = False, **kwargs: Any) -> MutableMapping[str, Any]
Parameters
Name | Description |
---|---|
keep_readonly
|
If you want to serialize the readonly attributes Default value: False
|
Returns
Type | Description |
---|---|
A dict JSON compatible object |
Azure SDK for Python