Bump version to 0.22.4 and generate client code from updated spec

generated/.openapi-generator/FILES

@@ -9,6 +9,8 @@ docs/BBoxGeometry.md
 docs/BBoxGeometryRequest.md
 docs/BinaryClassificationResult.md
 docs/BlankEnum.md
+docs/BoundingBoxModeConfiguration.md
+docs/BoundingBoxResult.md
 docs/ChannelEnum.md
 docs/Condition.md
 docs/ConditionRequest.md
@@ -88,6 +90,8 @@ groundlight_openapi_client/model/b_box_geometry.py
 groundlight_openapi_client/model/b_box_geometry_request.py
 groundlight_openapi_client/model/binary_classification_result.py
 groundlight_openapi_client/model/blank_enum.py
+groundlight_openapi_client/model/bounding_box_mode_configuration.py
+groundlight_openapi_client/model/bounding_box_result.py
 groundlight_openapi_client/model/channel_enum.py
 groundlight_openapi_client/model/condition.py
 groundlight_openapi_client/model/condition_request.py

generated/README.md

@@ -95,6 +95,9 @@ rule_request = RuleRequest(
                 url="url_example",
                 include_image=True,
                 payload_template=None,
+                last_message_failed=True,
+                last_failure_error="last_failure_error_example",
+                last_failed_at=dateutil_parser('1970-01-01T00:00:00.00Z'),
             ),
         ],
     ) # RuleRequest | 
@@ -127,6 +130,7 @@ Class | Method | HTTP request | Description
 *DetectorsApi* | [**get_detector_metrics**](docs/DetectorsApi.md#get_detector_metrics) | **GET** /v1/detectors/{detector_id}/metrics | 
 *DetectorsApi* | [**list_detectors**](docs/DetectorsApi.md#list_detectors) | **GET** /v1/detectors | 
 *DetectorsApi* | [**update_detector**](docs/DetectorsApi.md#update_detector) | **PATCH** /v1/detectors/{id} | 
+*EdgeApi* | [**edge_report_metrics_create**](docs/EdgeApi.md#edge_report_metrics_create) | **POST** /v1/edge/report-metrics | 
 *EdgeApi* | [**get_model_urls**](docs/EdgeApi.md#get_model_urls) | **GET** /v1/edge/fetch-model-urls/{detector_id}/ | 
 *ImageQueriesApi* | [**get_image**](docs/ImageQueriesApi.md#get_image) | **GET** /v1/image-queries/{id}/image | 
 *ImageQueriesApi* | [**get_image_query**](docs/ImageQueriesApi.md#get_image_query) | **GET** /v1/image-queries/{id} | 
@@ -148,6 +152,8 @@ Class | Method | HTTP request | Description
  - [BBoxGeometryRequest](docs/BBoxGeometryRequest.md)
  - [BinaryClassificationResult](docs/BinaryClassificationResult.md)
  - [BlankEnum](docs/BlankEnum.md)
+ - [BoundingBoxModeConfiguration](docs/BoundingBoxModeConfiguration.md)
+ - [BoundingBoxResult](docs/BoundingBoxResult.md)
  - [ChannelEnum](docs/ChannelEnum.md)
  - [Condition](docs/Condition.md)
  - [ConditionRequest](docs/ConditionRequest.md)

generated/docs/ActionsApi.md

@@ -70,6 +70,9 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
                 url="url_example",
                 include_image=True,
                 payload_template=None,
+                last_message_failed=True,
+                last_failure_error="last_failure_error_example",
+                last_failed_at=dateutil_parser('1970-01-01T00:00:00.00Z'),
             ),
         ],
     ) # RuleRequest | 

generated/docs/BinaryClassificationResult.md

@@ -8,6 +8,7 @@ Name | Type | Description | Notes
 **confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [optional] 
 **result_type** | **str** |  | [optional]  if omitted the server will use the default value of "binary_classification"
+**from_edge** | **bool** |  | [optional] 
 **any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | 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)

generated/docs/BoundingBoxModeConfiguration.md

@@ -0,0 +1,13 @@
+# BoundingBoxModeConfiguration
+
+
+## Properties
+Name | Type | Description | Notes
+------------ | ------------- | ------------- | -------------
+**class_name** | **str** |  | 
+**max_num_bboxes** | **int** |  | [optional] 
+**any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | 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)
+
+

generated/docs/BoundingBoxResult.md

@@ -0,0 +1,16 @@
+# BoundingBoxResult
+
+
+## Properties
+Name | Type | Description | Notes
+------------ | ------------- | ------------- | -------------
+**label** | **str** |  | 
+**confidence** | **float, none_type** |  | [optional] 
+**source** | **str** |  | [optional] 
+**result_type** | **str** |  | [optional]  if omitted the server will use the default value of "bounding_box"
+**from_edge** | **bool** |  | [optional] 
+**any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | 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)
+
+

generated/docs/CountingResult.md

@@ -8,6 +8,7 @@ Name | Type | Description | Notes
 **confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [optional] 
 **result_type** | **str** |  | [optional]  if omitted the server will use the default value of "counting"
+**from_edge** | **bool** |  | [optional] 
 **greater_than_max** | **bool** |  | [optional] 
 **any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | any string name can be used but the value must be the correct type | [optional]
 

generated/docs/DetectorCreationInputRequest.md

@@ -12,7 +12,7 @@ Name | Type | Description | Notes
 **patience_time** | **float** | How long Groundlight will attempt to generate a confident prediction | [optional]  if omitted the server will use the default value of 30.0
 **pipeline_config** | **str, none_type** | (Advanced usage) Configuration needed to instantiate a prediction pipeline. | [optional] 
 **metadata** | **str** | Base64-encoded metadata for the detector. This should be a JSON object with string keys. The size after encoding should not exceed 1362 bytes, corresponding to 1KiB before encoding. | [optional] 
-**mode** | **bool, date, datetime, dict, float, int, list, str, none_type** | Mode in which this detector will work.  * `BINARY` - BINARY * `COUNT` - COUNT * `MULTI_CLASS` - MULTI_CLASS * `TEXT` - TEXT | [optional] 
+**mode** | **bool, date, datetime, dict, float, int, list, str, none_type** | Mode in which this detector will work.  * `BINARY` - BINARY * `COUNT` - COUNT * `MULTI_CLASS` - MULTI_CLASS * `TEXT` - TEXT * `BOUNDING_BOX` - BOUNDING_BOX | [optional] 
 **mode_configuration** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [optional] 
 **any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | any string name can be used but the value must be the correct type | [optional]
 

generated/docs/EdgeApi.md

@@ -4,9 +4,81 @@ All URIs are relative to *https://api.groundlight.ai/device-api*
 
 Method | HTTP request | Description
 ------------- | ------------- | -------------
+[**edge_report_metrics_create**](EdgeApi.md#edge_report_metrics_create) | **POST** /v1/edge/report-metrics | 
 [**get_model_urls**](EdgeApi.md#get_model_urls) | **GET** /v1/edge/fetch-model-urls/{detector_id}/ | 
 
 
+# **edge_report_metrics_create**
+> edge_report_metrics_create()
+
+
+
+Edge server periodically calls this to report metrics.  POST body will have JSON data that we log.
+
+### Example
+
+* Api Key Authentication (ApiToken):
+
+```python
+import time
+import groundlight_openapi_client
+from groundlight_openapi_client.api import edge_api
+from pprint import pprint
+# Defining the host is optional and defaults to https://api.groundlight.ai/device-api
+# See configuration.py for a list of all supported configuration parameters.
+configuration = groundlight_openapi_client.Configuration(
+    host = "https://api.groundlight.ai/device-api"
+)
+
+# The client must configure the authentication and authorization parameters
+# in accordance with the API server security policy.
+# Examples for each auth method are provided below, use the example that
+# satisfies your auth use case.
+
+# Configure API key authorization: ApiToken
+configuration.api_key['ApiToken'] = 'YOUR_API_KEY'
+
+# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
+# configuration.api_key_prefix['ApiToken'] = 'Bearer'
+
+# Enter a context with an instance of the API client
+with groundlight_openapi_client.ApiClient(configuration) as api_client:
+    # Create an instance of the API class
+    api_instance = edge_api.EdgeApi(api_client)
+
+    # example, this endpoint has no required or optional parameters
+    try:
+        api_instance.edge_report_metrics_create()
+    except groundlight_openapi_client.ApiException as e:
+        print("Exception when calling EdgeApi->edge_report_metrics_create: %s\n" % e)
+```
+
+
+### Parameters
+This endpoint does not need any parameter.
+
+### Return type
+
+void (empty response body)
+
+### Authorization
+
+[ApiToken](../README.md#ApiToken)
+
+### HTTP request headers
+
+ - **Content-Type**: Not defined
+ - **Accept**: Not defined
+
+
+### HTTP response details
+
+| Status code | Description | Response headers |
+|-------------|-------------|------------------|
+**200** | No response body |  -  |
+
+[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)
+
 # **get_model_urls**
 > EdgeModelInfo get_model_urls(detector_id)
 

generated/docs/ModeEnum.md

@@ -4,7 +4,7 @@
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**value** | **str** |  |  must be one of ["BINARY", "COUNT", "MULTI_CLASS", "TEXT", ]
+**value** | **str** |  |  must be one of ["BINARY", "COUNT", "MULTI_CLASS", "TEXT", "BOUNDING_BOX", ]
 
 [[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
 

generated/docs/MultiClassificationResult.md

@@ -8,6 +8,7 @@ Name | Type | Description | Notes
 **confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [optional] 
 **result_type** | **str** |  | [optional]  if omitted the server will use the default value of "multi_classification"
+**from_edge** | **bool** |  | [optional] 
 **any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | 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)

generated/docs/ResultTypeEnum.md

@@ -4,7 +4,7 @@
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**value** | **str** |  |  must be one of ["binary_classification", "counting", "multi_classification", "text_recognition", ]
+**value** | **str** |  |  must be one of ["binary_classification", "counting", "multi_classification", "text_recognition", "bounding_box", ]
 
 [[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
 

generated/docs/TextRecognitionResult.md

@@ -9,6 +9,7 @@ Name | Type | Description | Notes
 **confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [optional] 
 **result_type** | **str** |  | [optional]  if omitted the server will use the default value of "text_recognition"
+**from_edge** | **bool** |  | [optional] 
 **any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | 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)

generated/docs/WebhookAction.md

@@ -7,6 +7,9 @@ Name | Type | Description | Notes
 **url** | **str** |  | 
 **include_image** | **bool** |  | [optional] 
 **payload_template** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [optional] 
+**last_message_failed** | **bool** |  | [optional] 
+**last_failure_error** | **str, none_type** |  | [optional] 
+**last_failed_at** | **datetime, none_type** |  | [optional] 
 **any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | 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)

generated/docs/WebhookActionRequest.md

@@ -7,6 +7,9 @@ Name | Type | Description | Notes
 **url** | **str** |  | 
 **include_image** | **bool** |  | [optional] 
 **payload_template** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [optional] 
+**last_message_failed** | **bool** |  | [optional] 
+**last_failure_error** | **str, none_type** |  | [optional] 
+**last_failed_at** | **datetime, none_type** |  | [optional] 
 **any string name** | **bool, date, datetime, dict, float, int, list, str, none_type** | 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)

generated/groundlight_openapi_client/api/edge_api.py

@@ -35,6 +35,30 @@ def __init__(self, api_client=None):
         if api_client is None:
             api_client = ApiClient()
         self.api_client = api_client
+        self.edge_report_metrics_create_endpoint = _Endpoint(
+            settings={
+                "response_type": None,
+                "auth": ["ApiToken"],
+                "endpoint_path": "/v1/edge/report-metrics",
+                "operation_id": "edge_report_metrics_create",
+                "http_method": "POST",
+                "servers": None,
+            },
+            params_map={"all": [], "required": [], "nullable": [], "enum": [], "validation": []},
+            root_map={
+                "validations": {},
+                "allowed_values": {},
+                "openapi_types": {},
+                "attribute_map": {},
+                "location_map": {},
+                "collection_format_map": {},
+            },
+            headers_map={
+                "accept": [],
+                "content_type": [],
+            },
+            api_client=api_client,
+        )
         self.get_model_urls_endpoint = _Endpoint(
             settings={
                 "response_type": (EdgeModelInfo,),
@@ -76,6 +100,61 @@ def __init__(self, api_client=None):
             api_client=api_client,
         )
 
+    def edge_report_metrics_create(self, **kwargs):
+        """edge_report_metrics_create  # noqa: E501
+
+        Edge server periodically calls this to report metrics.  POST body will have JSON data that we log.  # noqa: E501
+        This method makes a synchronous HTTP request by default. To make an
+        asynchronous HTTP request, please pass async_req=True
+
+        >>> thread = api.edge_report_metrics_create(async_req=True)
+        >>> result = thread.get()
+
+
+        Keyword Args:
+            _return_http_data_only (bool): response data without head status
+                code and headers. Default is True.
+            _preload_content (bool): if False, the urllib3.HTTPResponse object
+                will be returned without reading/decoding response data.
+                Default is True.
+            _request_timeout (int/float/tuple): timeout setting for this request. If
+                one number provided, it will be total request timeout. It can also
+                be a pair (tuple) of (connection, read) timeouts.
+                Default is None.
+            _check_input_type (bool): specifies if type checking
+                should be done one the data sent to the server.
+                Default is True.
+            _check_return_type (bool): specifies if type checking
+                should be done one the data received from the server.
+                Default is True.
+            _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)
+            _content_type (str/None): force body content-type.
+                Default is None and content-type will be predicted by allowed
+                content-types and body.
+            _host_index (int/None): specifies the index of the server
+                that we want to use.
+                Default is read from the configuration.
+            async_req (bool): execute request asynchronously
+
+        Returns:
+            None
+                If the method is called asynchronously, returns the request
+                thread.
+        """
+        kwargs["async_req"] = kwargs.get("async_req", False)
+        kwargs["_return_http_data_only"] = kwargs.get("_return_http_data_only", True)
+        kwargs["_preload_content"] = kwargs.get("_preload_content", True)
+        kwargs["_request_timeout"] = kwargs.get("_request_timeout", None)
+        kwargs["_check_input_type"] = kwargs.get("_check_input_type", True)
+        kwargs["_check_return_type"] = kwargs.get("_check_return_type", True)
+        kwargs["_spec_property_naming"] = kwargs.get("_spec_property_naming", False)
+        kwargs["_content_type"] = kwargs.get("_content_type")
+        kwargs["_host_index"] = kwargs.get("_host_index")
+        return self.edge_report_metrics_create_endpoint.call_with_http_info(**kwargs)
+
     def get_model_urls(self, detector_id, **kwargs):
         """get_model_urls  # noqa: E501
 

generated/groundlight_openapi_client/model/binary_classification_result.py

@@ -117,6 +117,7 @@ def openapi_types():
             ),  # noqa: E501
             "source": (str,),  # noqa: E501
             "result_type": (str,),  # noqa: E501
+            "from_edge": (bool,),  # noqa: E501
         }
 
     @cached_property
@@ -128,6 +129,7 @@ def discriminator():
         "confidence": "confidence",  # noqa: E501
         "source": "source",  # noqa: E501
         "result_type": "result_type",  # noqa: E501
+        "from_edge": "from_edge",  # noqa: E501
     }
 
     read_only_vars = {}
@@ -176,6 +178,7 @@ def _from_openapi_data(cls, label, *args, **kwargs):  # noqa: E501
             confidence (float, none_type): [optional]  # noqa: E501
             source (str): [optional]  # noqa: E501
             result_type (str): [optional] if omitted the server will use the default value of "binary_classification"  # noqa: E501
+            from_edge (bool): [optional]  # noqa: E501
         """
 
         _check_type = kwargs.pop("_check_type", True)
@@ -267,6 +270,7 @@ def __init__(self, label, *args, **kwargs):  # noqa: E501
             confidence (float, none_type): [optional]  # noqa: E501
             source (str): [optional]  # noqa: E501
             result_type (str): [optional] if omitted the server will use the default value of "binary_classification"  # noqa: E501
+            from_edge (bool): [optional]  # noqa: E501
         """
 
         _check_type = kwargs.pop("_check_type", True)