Regenerate client from commit 95807f2 of spec repo (#319)

Co-authored-by: ci.datadog-api-spec <[email protected]>

Author: api-clients-generation-pipeline[bot]

.apigentools-info

@@ -3,14 +3,14 @@
     "info_version": "2",
     "spec_versions": {
         "v1": {
-            "apigentools_version": "1.4.1.dev8",
-            "regenerated": "2021-03-08 20:18:53.690166",
-            "spec_repo_commit": "9a30209"
+            "apigentools_version": "1.4.1.dev6",
+            "regenerated": "2021-03-12 10:38:27.522185",
+            "spec_repo_commit": "95807f2"
         },
         "v2": {
-            "apigentools_version": "1.4.1.dev8",
-            "regenerated": "2021-03-08 20:19:27.232217",
-            "spec_repo_commit": "9a30209"
+            "apigentools_version": "1.4.1.dev6",
+            "regenerated": "2021-03-12 10:39:09.334271",
+            "spec_repo_commit": "95807f2"
         }
     }
 }

docs/README.md

@@ -4,21 +4,9 @@ This repository contains a Python API client for the [Datadog API](https://docs.
 The code is generated using [openapi-generator](https://github.com/OpenAPITools/openapi-generator)
 and [apigentools](https://github.com/DataDog/apigentools).
 
-Datadog API Collection
-
-- API version: 1.0
-
-Collection of all Datadog Public endpoints.
-
-  For more information, please visit [https://www.datadoghq.com/support/](https://www.datadoghq.com/support/)
-
-*Automatically generated by the [OpenAPI Generator](https://openapi-generator.tech)*
-
 ## Requirements
 
-Building and using the API client library requires:
-
-1. Python 3.6+
+Building and using the API client library requires [Python 3.6+](https://www.python.org/downloads/).
 
 ## Installation
 
@@ -95,7 +83,9 @@ where `<OperationName>` is the name of the method used to interact with that end
 
 ## Documentation for API Endpoints and Models
 
-Documentation for API endpoints and models can be found under the [`docs`](/docs) directory. 
+Documentation for API endpoints and models can be found under the docs subdirectories, in [v1](/docs/v1#documentation-for-api-endpoints) and [v2](/docs/v2#documentation-for-api-endpoints).
+
+It's also available on [readthedocs](https://datadog-api-client.readthedocs.io/).
 
 ## Documentation for Authorization
 

docs/v1/README.md

@@ -531,6 +531,7 @@ Class | Method | HTTP request | Description
  - [SLOCorrectionUpdateRequest](SLOCorrectionUpdateRequest.md)
  - [SLOCorrectionUpdateRequestAttributes](SLOCorrectionUpdateRequestAttributes.md)
  - [SLODeleteResponse](SLODeleteResponse.md)
+ - [SLOErrorBudgetRemainingData](SLOErrorBudgetRemainingData.md)
  - [SLOErrorTimeframe](SLOErrorTimeframe.md)
  - [SLOHistoryMetrics](SLOHistoryMetrics.md)
  - [SLOHistoryMetricsSeries](SLOHistoryMetricsSeries.md)

docs/v1/SLOErrorBudgetRemainingData.md

@@ -0,0 +1,11 @@
+# SLOErrorBudgetRemainingData
+
+A mapping of threshold `timeframe` to the remaining error budget.
+## Properties
+Name | Type | Description | Notes
+------------ | ------------- | ------------- | -------------
+**any string name** | **float** | any string name can be used but the value must be the correct type | [optional]
+
+[[Back to Model list]](README.md#documentation-for-models) [[Back to API list]](README.md#documentation-for-api-endpoints) [[Back to README]](README.md)
+
+

docs/v1/SLOHistoryMetrics.md

@@ -1,6 +1,6 @@
 # SLOHistoryMetrics
 
-A `metric` based SLO history response.
+A `metric` based SLO history response.  This is not included in responses for `monitor` based SLOs.
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------

docs/v1/SLOHistoryResponseData.md

@@ -5,7 +5,9 @@ An array of service level objective objects.
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
 **from_ts** | **int** | The `from` timestamp in epoch seconds. | [optional] 
-**groups** | [**SLOHistorySLIData**](SLOHistorySLIData.md) |  | [optional] 
+**group_by** | **[str]** | For `metric` based SLOs where the query includes a group-by clause, this represents the list of grouping parameters.  This is not included in responses for `monitor` based SLOs. | [optional] 
+**groups** | [**[SLOHistorySLIData]**](SLOHistorySLIData.md) | For grouped SLOs, this represents SLI data for specific groups.  This is not included in the responses for `metric` based SLOs. | [optional] 
+**monitors** | [**[SLOHistorySLIData]**](SLOHistorySLIData.md) | For multi-monitor SLOs, this represents SLI data for specific monitors.  This is not included in the responses for `metric` based SLOs. | [optional] 
 **overall** | [**SLOHistorySLIData**](SLOHistorySLIData.md) |  | [optional] 
 **series** | [**SLOHistoryMetrics**](SLOHistoryMetrics.md) |  | [optional] 
 **thresholds** | [**{str: (SLOThreshold,)}**](SLOThreshold.md) | mapping of string timeframe to the SLO threshold. | [optional] 

docs/v1/SLOHistorySLIData.md

@@ -1,16 +1,21 @@
 # SLOHistorySLIData
 
-An object that holds an SLI value and its associated data. It can represent an SLO's overall SLI value or the SLI value for a specific monitor (in multi-monitor SLOs) or group (in grouped SLOs). The uptime history is included for monitor SLOs.
+An object that holds an SLI value and its associated data. It can represent an SLO's overall SLI value. This can also represent the SLI value for a specific monitor in multi-monitor SLOs, or a group in grouped SLOs.
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
+**error_budget_remaining** | [**SLOErrorBudgetRemainingData**](SLOErrorBudgetRemainingData.md) |  | [optional] 
+**errors** | [**[SLOHistoryResponseError]**](SLOHistoryResponseError.md) | A list of errors while querying the history data for the service level objective. | [optional] 
+**group** | **str** | For groups in a grouped SLO, this is the group name. | [optional] 
 **history** | **[[float]]** | For `monitor` based SLOs, this includes the aggregated history uptime time series. | [optional] 
-**name** | **str** | For groups in a grouped SLO this is the group name. For monitors in a multi-monitor SLO this is the monitor name. | [optional] 
+**monitor_modified** | **int** | For `monitor` based SLOs, this is the last modified timestamp in epoch seconds of the monitor. | [optional] 
+**monitor_type** | **str** | For `monitor` based SLOs, this describes the type of monitor. | [optional] 
+**name** | **str** | For groups in a grouped SLO, this is the group name. For monitors in a multi-monitor SLO, this is the monitor name. | [optional] 
 **precision** | **{str: (float,)}** | A mapping of threshold `timeframe` to number of accurate decimals, regardless of the from && to timestamp. | [optional] 
-**preview** | **bool** | For `monitor` based SLOs when `true` this indicates that a replay is in progress to give an accurate uptime calculation. | [optional] 
+**preview** | **bool** | For `monitor` based SLOs, when `true` this indicates that a replay is in progress to give an accurate uptime calculation. | [optional] 
 **sli_value** | **float** | The current SLI value of the SLO over the history window. | [optional] 
 **span_precision** | **float** | The amount of decimal places the SLI value is accurate to for the given from `&&` to timestamp. | [optional] 
-**uptime** | **float** | Deprecated. Use `sli_value` instead. | [optional] 
+**uptime** | **float** | Use `sli_value` instead. | [optional] 
 
 [[Back to Model list]](README.md#documentation-for-models) [[Back to API list]](README.md#documentation-for-api-endpoints) [[Back to README]](README.md)
 

src/datadog_api_client/v1/model/slo_error_budget_remaining_data.py

@@ -0,0 +1,164 @@
+# Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
+# This product includes software developed at Datadog (https://www.datadoghq.com/).
+# Copyright 2019-Present Datadog, Inc.
+
+
+import re  # noqa: F401
+import sys  # noqa: F401
+
+from datadog_api_client.v1.model_utils import (  # noqa: F401
+    ApiTypeError,
+    ModelComposed,
+    ModelNormal,
+    ModelSimple,
+    cached_property,
+    change_keys_js_to_python,
+    convert_js_args_to_python_args,
+    date,
+    datetime,
+    file_type,
+    none_type,
+    validate_get_composed_info,
+)
+
+
+class SLOErrorBudgetRemainingData(ModelNormal):
+    """NOTE: This class is auto generated by OpenAPI Generator.
+    Ref: https://openapi-generator.tech
+
+    Do not edit the class manually.
+
+    Attributes:
+      allowed_values (dict): The key is the tuple path to the attribute
+          and the for var_name this is (var_name,). The value is a dict
+          with a capitalized key describing the allowed value and an allowed
+          value. These dicts store the allowed enum values.
+      attribute_map (dict): The key is attribute name
+          and the value is json key in definition.
+      discriminator_value_class_map (dict): A dict to go from the discriminator
+          variable value to the discriminator class name.
+      validations (dict): The key is the tuple path to the attribute
+          and the for var_name this is (var_name,). The value is a dict
+          that stores validations for max_length, min_length, max_items,
+          min_items, exclusive_maximum, inclusive_maximum, exclusive_minimum,
+          inclusive_minimum, and regex.
+      additional_properties_type (tuple): A tuple of classes accepted
+          as additional properties values.
+    """
+
+    allowed_values = {}
+
+    validations = {}
+
+    @cached_property
+    def additional_properties_type():
+        """
+        This must be a method because a model may have properties that are
+        of type self, this must run after the class is loaded
+        """
+        return (float,)  # noqa: E501
+
+    _nullable = False
+
+    @cached_property
+    def openapi_types():
+        """
+        This must be a method because a model may have properties that are
+        of type self, this must run after the class is loaded
+
+        Returns
+            openapi_types (dict): The key is attribute name
+                and the value is attribute type.
+        """
+        return {}
+
+    @cached_property
+    def discriminator():
+        return None
+
+    attribute_map = {}
+
+    _composed_schemas = {}
+
+    required_properties = set(
+        [
+            "_data_store",
+            "_check_type",
+            "_spec_property_naming",
+            "_path_to_item",
+            "_configuration",
+            "_visited_composed_classes",
+        ]
+    )
+
+    @convert_js_args_to_python_args
+    def __init__(self, *args, **kwargs):  # noqa: E501
+        """SLOErrorBudgetRemainingData - a model defined in OpenAPI
+
+        Keyword Args:
+            _check_type (bool): if True, values for parameters in openapi_types
+                                will be type checked and a TypeError will be
+                                raised if the wrong type is input.
+                                Defaults to True
+            _path_to_item (tuple/list): This is a list of keys or values to
+                                drill down to the model in received_data
+                                when deserializing a response
+            _spec_property_naming (bool): True if the variable names in the input data
+                                are serialized names, as specified in the OpenAPI document.
+                                False if the variable names in the input data
+                                are pythonic names, e.g. snake case (default)
+            _configuration (Configuration): the instance to use when
+                                deserializing a file_type parameter.
+                                If passed, type conversion is attempted
+                                If omitted no type conversion is done.
+            _visited_composed_classes (tuple): This stores a tuple of
+                                classes that we have traveled through so that
+                                if we see that class again we will not use its
+                                discriminator again.
+                                When traveling through a discriminator, the
+                                composed schema that is
+                                is traveled through is added to this set.
+                                For example if Animal has a discriminator
+                                petType and we pass in "Dog", and the class Dog
+                                allOf includes Animal, we move through Animal
+                                once using the discriminator, and pick Dog.
+                                Then in Dog, we will make an instance of the
+                                Animal class but this time we won't travel
+                                through its discriminator because we passed in
+                                _visited_composed_classes = (Animal,)
+        """
+
+        _check_type = kwargs.pop("_check_type", True)
+        _spec_property_naming = kwargs.pop("_spec_property_naming", False)
+        _path_to_item = kwargs.pop("_path_to_item", ())
+        _configuration = kwargs.pop("_configuration", None)
+        _visited_composed_classes = kwargs.pop("_visited_composed_classes", ())
+
+        if args:
+            raise ApiTypeError(
+                "Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments."
+                % (
+                    args,
+                    self.__class__.__name__,
+                ),
+                path_to_item=_path_to_item,
+                valid_classes=(self.__class__,),
+            )
+
+        self._data_store = {}
+        self._check_type = _check_type
+        self._spec_property_naming = _spec_property_naming
+        self._path_to_item = _path_to_item
+        self._configuration = _configuration
+        self._visited_composed_classes = _visited_composed_classes + (self.__class__,)
+
+        for var_name, var_value in kwargs.items():
+            if (
+                var_name not in self.attribute_map
+                and self._configuration is not None
+                and self._configuration.discard_unknown_keys
+                and self.additional_properties_type is None
+            ):
+                # discard variable.
+                continue
+            setattr(self, var_name, var_value)

src/datadog_api_client/v1/model/slo_history_response_data.py

@@ -81,7 +81,9 @@ def openapi_types():
         lazy_import()
         return {
             "from_ts": (int,),  # noqa: E501
-            "groups": (SLOHistorySLIData,),  # noqa: E501
+            "group_by": ([str],),  # noqa: E501
+            "groups": ([SLOHistorySLIData],),  # noqa: E501
+            "monitors": ([SLOHistorySLIData],),  # noqa: E501
             "overall": (SLOHistorySLIData,),  # noqa: E501
             "series": (SLOHistoryMetrics,),  # noqa: E501
             "thresholds": ({str: (SLOThreshold,)},),  # noqa: E501
@@ -96,7 +98,9 @@ def discriminator():
 
     attribute_map = {
         "from_ts": "from_ts",  # noqa: E501
+        "group_by": "group_by",  # noqa: E501
         "groups": "groups",  # noqa: E501
+        "monitors": "monitors",  # noqa: E501
         "overall": "overall",  # noqa: E501
         "series": "series",  # noqa: E501
         "thresholds": "thresholds",  # noqa: E501
@@ -154,7 +158,9 @@ def __init__(self, *args, **kwargs):  # noqa: E501
                                 through its discriminator because we passed in
                                 _visited_composed_classes = (Animal,)
             from_ts (int): The `from` timestamp in epoch seconds.. [optional]  # noqa: E501
-            groups (SLOHistorySLIData): [optional]  # noqa: E501
+            group_by ([str]): For `metric` based SLOs where the query includes a group-by clause, this represents the list of grouping parameters.  This is not included in responses for `monitor` based SLOs.. [optional]  # noqa: E501
+            groups ([SLOHistorySLIData]): For grouped SLOs, this represents SLI data for specific groups.  This is not included in the responses for `metric` based SLOs.. [optional]  # noqa: E501
+            monitors ([SLOHistorySLIData]): For multi-monitor SLOs, this represents SLI data for specific monitors.  This is not included in the responses for `metric` based SLOs.. [optional]  # noqa: E501
             overall (SLOHistorySLIData): [optional]  # noqa: E501
             series (SLOHistoryMetrics): [optional]  # noqa: E501
             thresholds ({str: (SLOThreshold,)}): mapping of string timeframe to the SLO threshold.. [optional]  # noqa: E501