Add new result types, make EDGE a source option, make label field of LabelValue nullable (#325)

CoreyEWood · web-flow · commit ebe38569c4fa · 2025-03-05T15:35:35.000-08:00
Updating generated code based on latest spec.
diff --git a/generated/docs/BinaryClassificationResult.md b/generated/docs/BinaryClassificationResult.md
@@ -7,6 +7,7 @@ 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 "binary_classification"
 **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)
diff --git a/generated/docs/CountingResult.md b/generated/docs/CountingResult.md
@@ -7,6 +7,7 @@ Name | Type | Description | Notes
 **count** | **int, none_type** |  | 
 **confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [optional] 
+**result_type** | **str** |  | [optional]  if omitted the server will use the default value of "counting"
 **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]
 
diff --git a/generated/docs/LabelValueRequest.md b/generated/docs/LabelValueRequest.md
@@ -4,7 +4,7 @@
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**label** | **str** |  | 
+**label** | **str, none_type** |  | 
 **image_query_id** | **str** |  | 
 **rois** | [**[ROIRequest], none_type**](ROIRequest.md) |  | [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]
diff --git a/generated/docs/MultiClassificationResult.md b/generated/docs/MultiClassificationResult.md
@@ -7,6 +7,7 @@ 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 "multi_classification"
 **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)
diff --git a/generated/docs/SourceEnum.md b/generated/docs/SourceEnum.md
@@ -1,11 +1,11 @@
 # SourceEnum
 
-* `INITIAL_PLACEHOLDER` - InitialPlaceholder * `CLOUD` - HumanCloud * `CUST` - HumanCustomer * `HUMAN_CLOUD_ENSEMBLE` - HumanCloudEnsemble * `ALG` - Algorithm * `ALG_REC` - AlgorithmReconciled * `ALG_UNCLEAR` - AlgorithmUnclear
+* `INITIAL_PLACEHOLDER` - InitialPlaceholder * `CLOUD` - HumanCloud * `CUST` - HumanCustomer * `HUMAN_CLOUD_ENSEMBLE` - HumanCloudEnsemble * `ALG` - Algorithm * `ALG_REC` - AlgorithmReconciled * `ALG_UNCLEAR` - AlgorithmUnclear * `EDGE` - EDGE
 
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**value** | **str** | * &#x60;INITIAL_PLACEHOLDER&#x60; - InitialPlaceholder * &#x60;CLOUD&#x60; - HumanCloud * &#x60;CUST&#x60; - HumanCustomer * &#x60;HUMAN_CLOUD_ENSEMBLE&#x60; - HumanCloudEnsemble * &#x60;ALG&#x60; - Algorithm * &#x60;ALG_REC&#x60; - AlgorithmReconciled * &#x60;ALG_UNCLEAR&#x60; - AlgorithmUnclear |  must be one of ["INITIAL_PLACEHOLDER", "CLOUD", "CUST", "HUMAN_CLOUD_ENSEMBLE", "ALG", "ALG_REC", "ALG_UNCLEAR", ]
+**value** | **str** | * &#x60;INITIAL_PLACEHOLDER&#x60; - InitialPlaceholder * &#x60;CLOUD&#x60; - HumanCloud * &#x60;CUST&#x60; - HumanCustomer * &#x60;HUMAN_CLOUD_ENSEMBLE&#x60; - HumanCloudEnsemble * &#x60;ALG&#x60; - Algorithm * &#x60;ALG_REC&#x60; - AlgorithmReconciled * &#x60;ALG_UNCLEAR&#x60; - AlgorithmUnclear * &#x60;EDGE&#x60; - EDGE |  must be one of ["INITIAL_PLACEHOLDER", "CLOUD", "CUST", "HUMAN_CLOUD_ENSEMBLE", "ALG", "ALG_REC", "ALG_UNCLEAR", "EDGE", ]
 
 [[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
 
diff --git a/generated/docs/TextRecognitionResult.md b/generated/docs/TextRecognitionResult.md
@@ -4,10 +4,11 @@
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**text** | **str** |  | 
+**text** | **str, none_type** |  | 
 **truncated** | **bool** |  | 
 **confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [optional] 
+**result_type** | **str** |  | [optional]  if omitted the server will use the default value of "text_recognition"
 **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)
diff --git a/generated/groundlight_openapi_client/model/binary_classification_result.py b/generated/groundlight_openapi_client/model/binary_classification_result.py
@@ -65,6 +65,10 @@ class BinaryClassificationResult(ModelNormal):
             "USER": "USER",
             "CLOUD_ENSEMBLE": "CLOUD_ENSEMBLE",
             "ALGORITHM": "ALGORITHM",
+            "EDGE": "EDGE",
+        },
+        ("result_type",): {
+            "BINARY_CLASSIFICATION": "binary_classification",
         },
     }
 
@@ -112,6 +116,7 @@ def openapi_types():
                 none_type,
             ),  # noqa: E501
             "source": (str,),  # noqa: E501
+            "result_type": (str,),  # noqa: E501
         }
 
     @cached_property
@@ -122,6 +127,7 @@ def discriminator():
         "label": "label",  # noqa: E501
         "confidence": "confidence",  # noqa: E501
         "source": "source",  # noqa: E501
+        "result_type": "result_type",  # noqa: E501
     }
 
     read_only_vars = {}
@@ -169,6 +175,7 @@ def _from_openapi_data(cls, label, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             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
         """
 
         _check_type = kwargs.pop("_check_type", True)
@@ -259,6 +266,7 @@ def __init__(self, label, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             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
         """
 
         _check_type = kwargs.pop("_check_type", True)
diff --git a/generated/groundlight_openapi_client/model/counting_result.py b/generated/groundlight_openapi_client/model/counting_result.py
@@ -60,6 +60,10 @@ class CountingResult(ModelNormal):
             "USER": "USER",
             "CLOUD_ENSEMBLE": "CLOUD_ENSEMBLE",
             "ALGORITHM": "ALGORITHM",
+            "EDGE": "EDGE",
+        },
+        ("result_type",): {
+            "COUNTING": "counting",
         },
     }
 
@@ -113,6 +117,7 @@ def openapi_types():
                 none_type,
             ),  # noqa: E501
             "source": (str,),  # noqa: E501
+            "result_type": (str,),  # noqa: E501
             "greater_than_max": (bool,),  # noqa: E501
         }
 
@@ -124,6 +129,7 @@ def discriminator():
         "count": "count",  # noqa: E501
         "confidence": "confidence",  # noqa: E501
         "source": "source",  # noqa: E501
+        "result_type": "result_type",  # noqa: E501
         "greater_than_max": "greater_than_max",  # noqa: E501
     }
 
@@ -172,6 +178,7 @@ def _from_openapi_data(cls, count, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             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 "counting"  # noqa: E501
             greater_than_max (bool): [optional]  # noqa: E501
         """
 
@@ -263,6 +270,7 @@ def __init__(self, count, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             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 "counting"  # noqa: E501
             greater_than_max (bool): [optional]  # noqa: E501
         """
 
diff --git a/generated/groundlight_openapi_client/model/label_value_request.py b/generated/groundlight_openapi_client/model/label_value_request.py
@@ -100,7 +100,10 @@ def openapi_types():
         """
         lazy_import()
         return {
-            "label": (str,),  # noqa: E501
+            "label": (
+                str,
+                none_type,
+            ),  # noqa: E501
             "image_query_id": (str,),  # noqa: E501
             "rois": (
                 [ROIRequest],
@@ -128,7 +131,7 @@ def _from_openapi_data(cls, label, image_query_id, *args, **kwargs):  # noqa: E5
         """LabelValueRequest - a model defined in OpenAPI
 
         Args:
-            label (str):
+            label (str, none_type):
             image_query_id (str):
 
         Keyword Args:
@@ -219,7 +222,7 @@ def __init__(self, label, image_query_id, *args, **kwargs):  # noqa: E501
         """LabelValueRequest - a model defined in OpenAPI
 
         Args:
-            label (str):
+            label (str, none_type):
             image_query_id (str):
 
         Keyword Args:
diff --git a/generated/groundlight_openapi_client/model/multi_classification_result.py b/generated/groundlight_openapi_client/model/multi_classification_result.py
@@ -60,6 +60,10 @@ class MultiClassificationResult(ModelNormal):
             "USER": "USER",
             "CLOUD_ENSEMBLE": "CLOUD_ENSEMBLE",
             "ALGORITHM": "ALGORITHM",
+            "EDGE": "EDGE",
+        },
+        ("result_type",): {
+            "MULTI_CLASSIFICATION": "multi_classification",
         },
     }
 
@@ -107,6 +111,7 @@ def openapi_types():
                 none_type,
             ),  # noqa: E501
             "source": (str,),  # noqa: E501
+            "result_type": (str,),  # noqa: E501
         }
 
     @cached_property
@@ -117,6 +122,7 @@ def discriminator():
         "label": "label",  # noqa: E501
         "confidence": "confidence",  # noqa: E501
         "source": "source",  # noqa: E501
+        "result_type": "result_type",  # noqa: E501
     }
 
     read_only_vars = {}
@@ -164,6 +170,7 @@ def _from_openapi_data(cls, label, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             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 "multi_classification"  # noqa: E501
         """
 
         _check_type = kwargs.pop("_check_type", True)
@@ -254,6 +261,7 @@ def __init__(self, label, *args, **kwargs):  # noqa: E501
                                 _visited_composed_classes = (Animal,)
             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 "multi_classification"  # noqa: E501
         """
 
         _check_type = kwargs.pop("_check_type", True)
diff --git a/generated/groundlight_openapi_client/model/patched_detector_request.py b/generated/groundlight_openapi_client/model/patched_detector_request.py
diff --git a/generated/groundlight_openapi_client/model/source_enum.py b/generated/groundlight_openapi_client/model/source_enum.py
diff --git a/generated/groundlight_openapi_client/model/text_recognition_result.py b/generated/groundlight_openapi_client/model/text_recognition_result.py
diff --git a/generated/model.py b/generated/model.py
diff --git a/spec/public-api.yaml b/spec/public-api.yaml
