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Mar 5, 2025
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Add new result types, make EDGE a source option, make label field of LabelValue nullable #325

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1 change: 1 addition & 0 deletions generated/docs/BinaryClassificationResult.md
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Original file line number Diff line number Diff line change
Expand Up @@ -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)
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1 change: 1 addition & 0 deletions generated/docs/CountingResult.md
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Expand Up @@ -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]

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2 changes: 1 addition & 1 deletion generated/docs/LabelValueRequest.md
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Expand Up @@ -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]
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1 change: 1 addition & 0 deletions generated/docs/MultiClassificationResult.md
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Expand Up @@ -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)
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4 changes: 2 additions & 2 deletions generated/docs/SourceEnum.md
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@@ -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** | * `INITIAL_PLACEHOLDER` - InitialPlaceholder * `CLOUD` - HumanCloud * `CUST` - HumanCustomer * `HUMAN_CLOUD_ENSEMBLE` - HumanCloudEnsemble * `ALG` - Algorithm * `ALG_REC` - AlgorithmReconciled * `ALG_UNCLEAR` - AlgorithmUnclear | must be one of ["INITIAL_PLACEHOLDER", "CLOUD", "CUST", "HUMAN_CLOUD_ENSEMBLE", "ALG", "ALG_REC", "ALG_UNCLEAR", ]
**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", ]

[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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3 changes: 2 additions & 1 deletion generated/docs/TextRecognitionResult.md
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Expand Up @@ -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)
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8 changes: 8 additions & 0 deletions generated/groundlight_openapi_client/model/binary_classification_result.py
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Expand Up @@ -65,6 +65,10 @@ class BinaryClassificationResult(ModelNormal):
"USER": "USER",
"CLOUD_ENSEMBLE": "CLOUD_ENSEMBLE",
"ALGORITHM": "ALGORITHM",
"EDGE": "EDGE",
},
("result_type",): {
"BINARY_CLASSIFICATION": "binary_classification",
},
}

Expand Down Expand Up @@ -112,6 +116,7 @@ def openapi_types():
none_type,
), # noqa: E501
"source": (str,), # noqa: E501
"result_type": (str,), # noqa: E501
}

@cached_property
Expand All @@ -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 = {}
Expand Down Expand Up @@ -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)
Expand Down Expand Up @@ -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)
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8 changes: 8 additions & 0 deletions generated/groundlight_openapi_client/model/counting_result.py
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Expand Up @@ -60,6 +60,10 @@ class CountingResult(ModelNormal):
"USER": "USER",
"CLOUD_ENSEMBLE": "CLOUD_ENSEMBLE",
"ALGORITHM": "ALGORITHM",
"EDGE": "EDGE",
},
("result_type",): {
"COUNTING": "counting",
},
}

Expand Down Expand Up @@ -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
}

Expand All @@ -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
}

Expand Down Expand Up @@ -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
"""

Expand Down Expand Up @@ -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
"""

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9 changes: 6 additions & 3 deletions generated/groundlight_openapi_client/model/label_value_request.py
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Expand Up @@ -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],
Expand Down Expand Up @@ -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:
Expand Down Expand Up @@ -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:
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8 changes: 8 additions & 0 deletions generated/groundlight_openapi_client/model/multi_classification_result.py
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Expand Up @@ -60,6 +60,10 @@ class MultiClassificationResult(ModelNormal):
"USER": "USER",
"CLOUD_ENSEMBLE": "CLOUD_ENSEMBLE",
"ALGORITHM": "ALGORITHM",
"EDGE": "EDGE",
},
("result_type",): {
"MULTI_CLASSIFICATION": "multi_classification",
},
}

Expand Down Expand Up @@ -107,6 +111,7 @@ def openapi_types():
none_type,
), # noqa: E501
"source": (str,), # noqa: E501
"result_type": (str,), # noqa: E501
}

@cached_property
Expand All @@ -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 = {}
Expand Down Expand Up @@ -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)
Expand Down Expand Up @@ -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)
Expand Down
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