CodeGen from PR 12487 in Azure/azure-rest-api-specs

Merge d61813cee043dd6c6eab26e78b83621cb47109b6 into 2482ad8

sdk/anomalydetector/azure-ai-anomalydetector/CHANGELOG.md

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+# Release History
+
+## 0.1.0 (1970-01-01)
+
+* Initial Release

sdk/anomalydetector/azure-ai-anomalydetector/MANIFEST.in

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+recursive-include tests *.py *.yaml
+include *.md
+include azure/__init__.py
+include azure/ai/__init__.py
+

sdk/anomalydetector/azure-ai-anomalydetector/README.md

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+# Microsoft Azure SDK for Python
+
+This is the Microsoft Azure MyService Management Client Library.
+This package has been tested with Python 2.7, 3.5, 3.6, 3.7 and 3.8.
+For a more complete view of Azure libraries, see the [azure sdk python release](https://aka.ms/azsdk/python/all).
+
+
+# Usage
+
+For code examples, see [MyService Management](https://docs.microsoft.com/python/api/overview/azure/)
+on docs.microsoft.com.
+
+
+# Provide Feedback
+
+If you encounter any bugs or have suggestions, please file an issue in the
+[Issues](https://github.com/Azure/azure-sdk-for-python/issues)
+section of the project.
+
+
+![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-python%2Fazure-ai-anomalydetector%2FREADME.png)

sdk/anomalydetector/azure-ai-anomalydetector/azure/__init__.py

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+__path__ = __import__('pkgutil').extend_path(__path__, __name__)

sdk/anomalydetector/azure-ai-anomalydetector/azure/ai/__init__.py

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+__path__ = __import__('pkgutil').extend_path(__path__, __name__)

sdk/anomalydetector/azure-ai-anomalydetector/azure/ai/anomalydetector/__init__.py

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+# 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 ._configuration import AnomalyDetectorClientConfiguration
+from ._anomaly_detector_client import AnomalyDetectorClient
+__all__ = ['AnomalyDetectorClient', 'AnomalyDetectorClientConfiguration']
+
+from .version import VERSION
+
+__version__ = VERSION
+

sdk/anomalydetector/azure-ai-anomalydetector/azure/ai/anomalydetector/_anomaly_detector_client.py

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+# 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 msrest.service_client import SDKClient
+from msrest import Serializer, Deserializer
+
+from ._configuration import AnomalyDetectorClientConfiguration
+from .operations import AnomalyDetectorClientOperationsMixin
+from . import models
+
+
+class AnomalyDetectorClient(AnomalyDetectorClientOperationsMixin, SDKClient):
+    """The Anomaly Detector API detects anomalies automatically in time series data. It supports two kinds of mode, one is for stateless using, another is for stateful using. In stateless mode, there are three functionalities. Entire Detect is for detecting the whole series with model trained by the time series, Last Detect is detecting last point with model trained by points before. ChangePoint Detect is for detecting trend changes in time series. In stateful mode, user can store time series, the stored time series will be used for detection anomalies. Under this mode, user can still use the above three functionalities by only giving a time range without preparing time series in client side. Besides the above three functionalities, stateful model also provide group based detection and labeling service. By leveraging labeling service user can provide labels for each detection result, these labels will be used for retuning or regenerating detection models. Inconsistency detection is a kind of group based detection, this detection will find inconsistency ones in a set of time series. By using anomaly detector service, business customers can discover incidents and establish a logic flow for root cause analysis.
+
+    :ivar config: Configuration for client.
+    :vartype config: AnomalyDetectorClientConfiguration
+
+    :param endpoint: Supported Cognitive Services endpoints (protocol and
+     hostname, for example: https://westus2.api.cognitive.microsoft.com).
+    :type endpoint: str
+    :param credentials: Subscription credentials which uniquely identify
+     client subscription.
+    :type credentials: None
+    """
+
+    def __init__(
+            self, endpoint, credentials):
+
+        self.config = AnomalyDetectorClientConfiguration(endpoint, credentials)
+        super(AnomalyDetectorClient, self).__init__(self.config.credentials, self.config)
+
+        client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
+        self.api_version = '1.0'
+        self._serialize = Serializer(client_models)
+        self._deserialize = Deserializer(client_models)
+

sdk/anomalydetector/azure-ai-anomalydetector/azure/ai/anomalydetector/_configuration.py

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+# 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 msrest import Configuration
+
+from .version import VERSION
+
+
+class AnomalyDetectorClientConfiguration(Configuration):
+    """Configuration for AnomalyDetectorClient
+    Note that all parameters used to create this instance are saved as instance
+    attributes.
+
+    :param endpoint: Supported Cognitive Services endpoints (protocol and
+     hostname, for example: https://westus2.api.cognitive.microsoft.com).
+    :type endpoint: str
+    :param credentials: Subscription credentials which uniquely identify
+     client subscription.
+    :type credentials: None
+    """
+
+    def __init__(
+            self, endpoint, credentials):
+
+        if endpoint is None:
+            raise ValueError("Parameter 'endpoint' must not be None.")
+        if credentials is None:
+            raise ValueError("Parameter 'credentials' must not be None.")
+        base_url = '{Endpoint}/anomalydetector/v1.0'
+
+        super(AnomalyDetectorClientConfiguration, self).__init__(base_url)
+
+        # Starting Autorest.Python 4.0.64, make connection pool activated by default
+        self.keep_alive = True
+
+        self.add_user_agent('azure-ai-anomalydetector/{}'.format(VERSION))
+
+        self.endpoint = endpoint
+        self.credentials = credentials

sdk/anomalydetector/azure-ai-anomalydetector/azure/ai/anomalydetector/models/__init__.py

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+# 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.
+# --------------------------------------------------------------------------
+
+try:
+    from ._models_py3 import AnomalyDetectorError, AnomalyDetectorErrorException
+    from ._models_py3 import ChangePointDetectRequest
+    from ._models_py3 import ChangePointDetectResponse
+    from ._models_py3 import DetectRequest
+    from ._models_py3 import EntireDetectResponse
+    from ._models_py3 import LastDetectResponse
+    from ._models_py3 import TimeSeriesPoint
+except (SyntaxError, ImportError):
+    from ._models import AnomalyDetectorError, AnomalyDetectorErrorException
+    from ._models import ChangePointDetectRequest
+    from ._models import ChangePointDetectResponse
+    from ._models import DetectRequest
+    from ._models import EntireDetectResponse
+    from ._models import LastDetectResponse
+    from ._models import TimeSeriesPoint
+from ._anomaly_detector_client_enums import (
+    TimeGranularity,
+)
+
+__all__ = [
+    'AnomalyDetectorError', 'AnomalyDetectorErrorException',
+    'ChangePointDetectRequest',
+    'ChangePointDetectResponse',
+    'DetectRequest',
+    'EntireDetectResponse',
+    'LastDetectResponse',
+    'TimeSeriesPoint',
+    'TimeGranularity',
+]

sdk/anomalydetector/azure-ai-anomalydetector/azure/ai/anomalydetector/models/_anomaly_detector_client_enums.py

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+# 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 enum import Enum
+
+
+class TimeGranularity(str, Enum):
+
+    yearly = "yearly"
+    monthly = "monthly"
+    weekly = "weekly"
+    daily = "daily"
+    hourly = "hourly"
+    per_minute = "minutely"
+    per_second = "secondly"
+    microsecond = "microsecond"
+    none = "none"