To help you get started, we've collected the most common ways that azure-cognitiveservices-search-entitysearch is being used within popular public projects.

Azure / azure-sdk-for-python / azure-cognitiveservices-search-entitysearch / azure / cognitiveservices / search / entitysearch / models / contractual_rules_link_attribution.py View on Github

# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------

from .contractual_rules_attribution import ContractualRulesAttribution


class ContractualRulesLinkAttribution(ContractualRulesAttribution):
    """Defines a contractual rule for link attribution.

    Variables are only populated by the server, and will be ignored when
    sending a request.

    All required parameters must be populated in order to send to Azure.

    :ivar target_property_name: The name of the field that the rule applies
     to.
    :vartype target_property_name: str
    :param _type: Required. Constant filled by server.
    :type _type: str
    :ivar must_be_close_to_content: A Boolean value that determines whether
     the contents of the rule must be placed in close proximity to the field
     that the rule applies to. If true, the contents must be placed in close
     proximity. If false, or this field does not exist, the contents may be

View more ways to use azure-cognitiveservices-search-entitysearch

Microsoft Azure SDK for Python

This package is no longer being maintained. Please refer to the samples in the Bing Search for Python repo instead.

For additional support, please open a new issue in the Issues section of the Microsoft Bing Search SDK for Python repo.

Release History

2.0.1 (2024-06-26)

Other Changes

• This package is no longer being maintained. Please refer to the samples in the Bing Search for Python repo instead.

For additional support, please open a new issue in the Issues section of the Microsoft Bing Search SDK for Python repo.

2.0.0 (2020-01-12)

Breaking changes

• EntitySearchAPI main client has been renamed EntitySearchClient

General Breaking Changes

This version uses a next-generation code generator that might introduce breaking changes if from some import. In summary, some modules were incorrectly visible/importable and have been renamed. This fixed several issues caused by usage of classes that were not supposed to be used in the first place. EntitySearchClient cannot be imported from azure.cognitiveservices.search.entitysearch.entity_search_api anymore (import from azure.cognitiveservices.search.entitysearch works like before) EntitySearchClientConfiguration import has been moved from azure.cognitiveservices.search.entitysearch.entity_search_api to azure.cognitiveservices.search.entitysearch A model MyClass from a "models" sub-module cannot be imported anymore using azure.cognitiveservices.search.entitysearch.models.my_class (import from azure.cognitiveservices.search.entitysearch.models works like before) An operation class MyClassOperations from an operations sub-module cannot be imported anymore using azure.cognitiveservices.search.entitysearch.operations.my_class_operations (import from azure.cognitiveservices.search.entitysearch.operations works like before) Last but not least, HTTP connection pooling is now enabled by default. You should always use a client as a context manager, or call close(), or use no more than one client per process.

1.0.0 (2018-05-02)

Features

• Client class can be used as a context manager to keep the underlying HTTP session open for performance

General Breaking changes

This version uses a next-generation code generator that might introduce breaking changes.

• Model signatures now use only keyword-argument syntax. All positional arguments must be re-written as keyword-arguments. To keep auto-completion in most cases, models are now generated for Python 2 and Python 3. Python 3 uses the "*" syntax for keyword-only arguments.
• Enum types now use the "str" mixin (class AzureEnum(str, Enum)) to improve the behavior when unrecognized enum values are encountered. While this is not a breaking change, the distinctions are important, and are documented here: At a glance:
  • "is" should not be used at all.
  • "format" will return the string value, where "%s" string formatting will return NameOfEnum.stringvalue. Format syntax should be prefered.
• New Long Running Operation:
  • Return type changes from msrestazure.azure_operation.AzureOperationPoller to msrest.polling.LROPoller. External API is the same.
  • Return type is now always a msrest.polling.LROPoller, regardless of the optional parameters used.
  • The behavior has changed when using raw=True. Instead of returning the initial call result as ClientRawResponse, without polling, now this returns an LROPoller. After polling, the final resource will be returned as a ClientRawResponse.
  • New polling parameter. The default behavior is Polling=True which will poll using ARM algorithm. When Polling=False, the response of the initial call will be returned without polling.
  • polling parameter accepts instances of subclasses of msrest.polling.PollingMethod.
  • add_done_callback will no longer raise if called after polling is finished, but will instead execute the callback right away.

0.1.0 (2018-01-12)

• Initial Release