correction

Author: brandon

generated/docs/ImageQuery.md

@@ -17,7 +17,7 @@ Name | Type | Description | Notes
 **confidence_threshold** | **float** | Min confidence needed to accept the response of the image query. | [readonly] 
 **rois** | [**[ROI], none_type**](ROI.md) | An array of regions of interest (bounding boxes) collected on image | [readonly] 
 **text** | **str, none_type** | A text field on image query. | [readonly] 
-**done_processing** | **bool, none_type** | EDGE ONLY - Whether the image query has completed escalating and will receive no new results. | [readonly] defaults to False
+**done_processing** | **bool** | EDGE ONLY - Whether the image query has completed escalating and will receive no new results. | [optional]  if omitted the server will use the default value of False
 **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/model/image_query.py

@@ -159,10 +159,7 @@ def openapi_types():
                 str,
                 none_type,
             ),  # noqa: E501
-            "done_processing": (
-                bool,
-                none_type,
-            ),  # noqa: E501
+            "done_processing": (bool,),  # noqa: E501
         }
 
     @cached_property
@@ -197,7 +194,6 @@ def discriminator():
         "confidence_threshold",  # noqa: E501
         "rois",  # noqa: E501
         "text",  # noqa: E501
-        "done_processing",  # noqa: E501
     }
 
     _composed_schemas = {}
@@ -238,7 +234,6 @@ def _from_openapi_data(
             text (str, none_type): A text field on image query.
 
         Keyword Args:
-            done_processing (bool, none_type): EDGE ONLY - Whether the image query has completed escalating and will receive no new results.. defaults to False  # 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.
@@ -269,9 +264,9 @@ def _from_openapi_data(
                                 Animal class but this time we won't travel
                                 through its discriminator because we passed in
                                 _visited_composed_classes = (Animal,)
+            done_processing (bool): EDGE ONLY - Whether the image query has completed escalating and will receive no new results.. [optional] if omitted the server will use the default value of False  # noqa: E501
         """
 
-        done_processing = kwargs.get("done_processing", False)
         _check_type = kwargs.pop("_check_type", True)
         _spec_property_naming = kwargs.pop("_spec_property_naming", False)
         _path_to_item = kwargs.pop("_path_to_item", ())
@@ -310,7 +305,6 @@ def _from_openapi_data(
         self.confidence_threshold = confidence_threshold
         self.rois = rois
         self.text = text
-        self.done_processing = done_processing
         for var_name, var_value in kwargs.items():
             if (
                 var_name not in self.attribute_map
@@ -368,6 +362,7 @@ def __init__(self, result, *args, **kwargs):  # noqa: E501
                                 Animal class but this time we won't travel
                                 through its discriminator because we passed in
                                 _visited_composed_classes = (Animal,)
+            done_processing (bool): EDGE ONLY - Whether the image query has completed escalating and will receive no new results.. [optional] if omitted the server will use the default value of False  # noqa: E501
         """
 
         _check_type = kwargs.pop("_check_type", True)

generated/model.py

@@ -1,6 +1,6 @@
 # generated by datamodel-codegen:
 #   filename:  public-api.yaml
-#   timestamp: 2025-03-11T17:29:10+00:00
+#   timestamp: 2025-03-11T18:57:57+00:00
 
 from __future__ import annotations
 
@@ -430,8 +430,9 @@ class ImageQuery(BaseModel):
         ..., description="An array of regions of interest (bounding boxes) collected on image"
     )
     text: Optional[str] = Field(..., description="A text field on image query.")
-    done_processing: Optional[bool] = Field(
-        ..., description="EDGE ONLY - Whether the image query has completed escalating and will receive no new results."
+    done_processing: bool = Field(
+        False,
+        description="EDGE ONLY - Whether the image query has completed escalating and will receive no new results.",
     )
 
 

spec/public-api.yaml

@@ -1102,16 +1102,13 @@ components:
           description: A text field on image query.
         done_processing:
           type: boolean
-          nullable: true
-          readOnly: true
           default: false
           description: EDGE ONLY - Whether the image query has completed escalating
             and will receive no new results.
       required:
       - confidence_threshold
       - created_at
       - detector_id
-      - done_processing
       - id
       - metadata
       - patience_time