How to use the azure-mgmt-loganalytics.azure.mgmt.loganalytics.models.LinkedService function in azure-mgmt-loganalytics

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github Azure / azure-sdk-for-python / azure-mgmt-loganalytics / azure / mgmt / loganalytics / operations / linked_services_operations.py View on Github external
:param resource_id: The resource id of the resource that will be
         linked to the workspace.
        :type resource_id: str
        :param tags: Resource tags
        :type tags: dict[str, str]
        :param dict custom_headers: headers that will be added to the request
        :param bool raw: returns the direct response alongside the
         deserialized response
        :param operation_config: :ref:`Operation configuration
         overrides`.
        :return: LinkedService or ClientRawResponse if raw=true
        :rtype: ~azure.mgmt.loganalytics.models.LinkedService or
         ~msrest.pipeline.ClientRawResponse
        :raises: :class:`CloudError`
        """
        parameters = models.LinkedService(tags=tags, resource_id=resource_id)

        # Construct URL
        url = self.create_or_update.metadata['url']
        path_format_arguments = {
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._\(\)]+$'),
            'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'),
            'linkedServiceName': self._serialize.url("linked_service_name", linked_service_name, 'str'),
            'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}
        query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')

        # Construct headers

azure-mgmt-loganalytics

Microsoft Azure Log Analytics Management Client Library for Python

MIT
Latest version published 3 years ago

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