Update api spec

generated/README.md

@@ -84,7 +84,7 @@ rule_request = RuleRequest(
         snooze_time_unit=None,
         human_review_required=False,
         condition=ConditionRequest(
-            verb=VerbEnum("ANSWERED_CONSECUTIVELY"),
+            verb="verb_example",
             parameters={
                 "key": None,
             },

generated/docs/ActionsApi.md

@@ -59,7 +59,7 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
         snooze_time_unit=None,
         human_review_required=False,
         condition=ConditionRequest(
-            verb=VerbEnum("ANSWERED_CONSECUTIVELY"),
+            verb="verb_example",
             parameters={
                 "key": None,
             },

generated/docs/AnnotationsRequestedEnum.md

@@ -1,11 +1,10 @@
 # AnnotationsRequestedEnum
 
-* `BINARY_CLASSIFICATION` - Binary Classification * `BOUNDING_BOXES` - Bounding Boxes
 
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**value** | **str** | * `BINARY_CLASSIFICATION` - Binary Classification * `BOUNDING_BOXES` - Bounding Boxes |  must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]
+**value** | **str** |  |  must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]
 
 [[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/BinaryClassificationResult.md

@@ -7,7 +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"
+**result_type** | **str** |  | [optional] 
 **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]
 

generated/docs/BoundingBoxResult.md

@@ -7,7 +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 "bounding_box"
+**result_type** | **str** |  | [optional] 
 **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]
 

generated/docs/Condition.md

@@ -4,7 +4,7 @@
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**verb** | [**VerbEnum**](VerbEnum.md) |  | 
+**verb** | **str** |  | 
 **parameters** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}** |  | 
 **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/ConditionRequest.md

@@ -4,7 +4,7 @@
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**verb** | [**VerbEnum**](VerbEnum.md) |  | 
+**verb** | **str** |  | 
 **parameters** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}** |  | 
 **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/CountingResult.md

@@ -7,7 +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"
+**result_type** | **str** |  | [optional] 
 **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/Detector.md

@@ -12,12 +12,12 @@ Name | Type | Description | Notes
 **query** | **str** | A question about the image. | [readonly] 
 **group_name** | **str** | Which group should this detector be part of? | [readonly] 
 **metadata** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type** | Metadata about the detector. | [readonly] 
-**mode** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [readonly] 
+**mode** | **str** |  | [readonly] 
 **mode_configuration** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type** |  | [readonly] 
 **confidence_threshold** | **float** | If the detector's prediction is below this confidence threshold, send the image query for human review. | [optional]  if omitted the server will use the default value of 0.9
 **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
 **status** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [optional] 
-**escalation_type** | **bool, date, datetime, dict, float, int, list, str, none_type** | Category that define internal proccess for labeling image queries  * `STANDARD` - STANDARD * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING | [optional] 
+**escalation_type** | **str** |  | [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/DetectorsApi.md

@@ -532,7 +532,7 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
         confidence_threshold=0.9,
         patience_time=30.0,
         status=None,
-        escalation_type=None,
+        escalation_type="escalation_type_example",
     ) # PatchedDetectorRequest |  (optional)
 
     # example passing only required values which don't have defaults set

generated/docs/EscalationTypeEnum.md

@@ -1,11 +1,10 @@
 # EscalationTypeEnum
 
-* `STANDARD` - STANDARD * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING
 
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**value** | **str** | * `STANDARD` - STANDARD * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING |  must be one of ["STANDARD", "NO_HUMAN_LABELING", ]
+**value** | **str** |  |  must be one of ["STANDARD", "NO_HUMAN_LABELING", ]
 
 [[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/InlineResponse2001EvaluationResults.md

@@ -7,11 +7,11 @@ Name | Type | Description | Notes
 **eval_timestamp** | **datetime** |  | [optional] 
 **total_ground_truth_examples** | **int, none_type** |  | [optional] 
 **kfold_pooled__balanced_accuracy** | **float** |  | [optional] 
-**kfold_pooled__positive_accuracy** | **float** |  | [optional] 
-**kfold_pooled__negative_accuracy** | **float** |  | [optional] 
-**balanced_system_accuracies** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}** |  | [optional] 
-**positive_system_accuracies** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}** |  | [optional] 
-**negative_system_accuracies** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}** |  | [optional] 
+**kfold_pooled__positive_accuracy** | **float, none_type** |  | [optional] 
+**kfold_pooled__negative_accuracy** | **float, none_type** |  | [optional] 
+**balanced_system_accuracies** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type** |  | [optional] 
+**positive_system_accuracies** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}, none_type** |  | [optional] 
+**negative_system_accuracies** | **{str: (bool, date, datetime, dict, float, int, list, str, none_type)}, 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/LabelValue.md

@@ -6,10 +6,10 @@ Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
 **confidence** | **float, none_type** |  | [readonly] 
 **class_name** | **str, none_type** | Return a human-readable class name for this label (e.g. YES/NO) | [readonly] 
-**annotations_requested** | **[bool, date, datetime, dict, float, int, list, str, none_type]** |  | [readonly] 
+**annotations_requested** | **[str]** |  | [readonly] 
 **created_at** | **datetime** |  | [readonly] 
 **detector_id** | **int, none_type** |  | [readonly] 
-**source** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [readonly] 
+**source** | **str** |  | [readonly] 
 **text** | **str, none_type** | Text annotations | [readonly] 
 **rois** | [**[ROI], none_type**](ROI.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]

generated/docs/MultiClassificationResult.md

@@ -7,7 +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"
+**result_type** | **str** |  | [optional] 
 **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]
 

generated/docs/PatchedDetectorRequest.md

@@ -9,7 +9,7 @@ Name | Type | Description | Notes
 **confidence_threshold** | **float** | If the detector's prediction is below this confidence threshold, send the image query for human review. | [optional]  if omitted the server will use the default value of 0.9
 **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
 **status** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [optional] 
-**escalation_type** | **bool, date, datetime, dict, float, int, list, str, none_type** | Category that define internal proccess for labeling image queries  * `STANDARD` - STANDARD * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING | [optional] 
+**escalation_type** | **str** |  | [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/SourceEnum.md

@@ -1,11 +1,10 @@
 # SourceEnum
 
-* `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** | * `INITIAL_PLACEHOLDER` - InitialPlaceholder * `CLOUD` - HumanCloud * `CUST` - HumanCustomer * `HUMAN_CLOUD_ENSEMBLE` - HumanCloudEnsemble * `ALG` - Algorithm * `ALG_REC` - AlgorithmReconciled * `ALG_UNCLEAR` - AlgorithmUnclear * `EDGE` - EDGE |  must be one of ["INITIAL_PLACEHOLDER", "CLOUD", "CUST", "HUMAN_CLOUD_ENSEMBLE", "ALG", "ALG_REC", "ALG_UNCLEAR", "EDGE", ]
+**value** | **str** |  |  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)
 

generated/docs/TextRecognitionResult.md

@@ -8,7 +8,7 @@ Name | Type | Description | Notes
 **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"
+**result_type** | **str** |  | [optional] 
 **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]
 

generated/docs/VerbEnum.md

@@ -1,11 +1,10 @@
 # VerbEnum
 
-* `ANSWERED_CONSECUTIVELY` - ANSWERED_CONSECUTIVELY * `ANSWERED_WITHIN_TIME` - ANSWERED_WITHIN_TIME * `CHANGED_TO` - CHANGED_TO * `NO_CHANGE` - NO_CHANGE * `NO_QUERIES` - NO_QUERIES
 
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**value** | **str** | * `ANSWERED_CONSECUTIVELY` - ANSWERED_CONSECUTIVELY * `ANSWERED_WITHIN_TIME` - ANSWERED_WITHIN_TIME * `CHANGED_TO` - CHANGED_TO * `NO_CHANGE` - NO_CHANGE * `NO_QUERIES` - NO_QUERIES |  must be one of ["ANSWERED_CONSECUTIVELY", "ANSWERED_WITHIN_TIME", "CHANGED_TO", "NO_CHANGE", "NO_QUERIES", ]
+**value** | **str** |  |  must be one of ["ANSWERED_CONSECUTIVELY", "ANSWERED_WITHIN_TIME", "CHANGED_TO", "NO_CHANGE", "NO_QUERIES", ]
 
 [[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/model/annotations_requested_enum.py

@@ -102,10 +102,10 @@ def __init__(self, *args, **kwargs):
         Note that value can be passed either in args or in kwargs, but not in both.
 
         Args:
-            args[0] (str): * `BINARY_CLASSIFICATION` - Binary Classification * `BOUNDING_BOXES` - Bounding Boxes., must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
+            args[0] (str):, must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
 
         Keyword Args:
-            value (str): * `BINARY_CLASSIFICATION` - Binary Classification * `BOUNDING_BOXES` - Bounding Boxes., must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
+            value (str):, must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
             _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.
@@ -194,10 +194,10 @@ def _from_openapi_data(cls, *args, **kwargs):
         Note that value can be passed either in args or in kwargs, but not in both.
 
         Args:
-            args[0] (str): * `BINARY_CLASSIFICATION` - Binary Classification * `BOUNDING_BOXES` - Bounding Boxes., must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
+            args[0] (str):, must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
 
         Keyword Args:
-            value (str): * `BINARY_CLASSIFICATION` - Binary Classification * `BOUNDING_BOXES` - Bounding Boxes., must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
+            value (str):, must be one of ["BINARY_CLASSIFICATION", "BOUNDING_BOXES", ]  # noqa: E501
             _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.

generated/groundlight_openapi_client/model/binary_classification_result.py

@@ -53,24 +53,7 @@ class BinaryClassificationResult(ModelNormal):
           as additional properties values.
     """
 
-    allowed_values = {
-        ("label",): {
-            "YES": "YES",
-            "NO": "NO",
-            "UNCLEAR": "UNCLEAR",
-        },
-        ("source",): {
-            "STILL_PROCESSING": "STILL_PROCESSING",
-            "CLOUD": "CLOUD",
-            "USER": "USER",
-            "CLOUD_ENSEMBLE": "CLOUD_ENSEMBLE",
-            "ALGORITHM": "ALGORITHM",
-            "EDGE": "EDGE",
-        },
-        ("result_type",): {
-            "BINARY_CLASSIFICATION": "binary_classification",
-        },
-    }
+    allowed_values = {}
 
     validations = {
         ("confidence",): {
@@ -177,7 +160,7 @@ 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
+            result_type (str): [optional]  # noqa: E501
             from_edge (bool): [optional]  # noqa: E501
         """
 
@@ -269,7 +252,7 @@ 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
+            result_type (str): [optional]  # noqa: E501
             from_edge (bool): [optional]  # noqa: E501
         """
 

generated/groundlight_openapi_client/model/bounding_box_result.py

@@ -53,24 +53,7 @@ class BoundingBoxResult(ModelNormal):
           as additional properties values.
     """
 
-    allowed_values = {
-        ("label",): {
-            "BOUNDING_BOX": "BOUNDING_BOX",
-            "GREATER_THAN_MAX": "GREATER_THAN_MAX",
-            "UNCLEAR": "UNCLEAR",
-        },
-        ("source",): {
-            "STILL_PROCESSING": "STILL_PROCESSING",
-            "CLOUD": "CLOUD",
-            "USER": "USER",
-            "CLOUD_ENSEMBLE": "CLOUD_ENSEMBLE",
-            "ALGORITHM": "ALGORITHM",
-            "EDGE": "EDGE",
-        },
-        ("result_type",): {
-            "BOUNDING_BOX": "bounding_box",
-        },
-    }
+    allowed_values = {}
 
     validations = {
         ("confidence",): {
@@ -177,7 +160,7 @@ 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 "bounding_box"  # noqa: E501
+            result_type (str): [optional]  # noqa: E501
             from_edge (bool): [optional]  # noqa: E501
         """
 
@@ -269,7 +252,7 @@ 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 "bounding_box"  # noqa: E501
+            result_type (str): [optional]  # noqa: E501
             from_edge (bool): [optional]  # noqa: E501
         """