fix generated

generated/docs/ImageQueriesApi.md

@@ -207,6 +207,7 @@ with openapi_client.ApiClient(configuration) as api_client:
     detector_id = "detector_id_example" # str | Choose a detector by its ID.
     human_review = "human_review_example" # str | If set to `DEFAULT`, use the regular escalation logic (i.e., send the image query for human review if the ML model is not confident). If set to `ALWAYS`, always send the image query for human review even if the ML model is confident. If set to `NEVER`, never send the image query for human review even if the ML model is not confident.  (optional)
     patience_time = 3.14 # float | How long to wait for a confident response. (optional)
+    want_async = True # bool | If set to `true`, the server returns immediately without a result and query's result is calculated asynchronously. (optional)
     body = open('@path/to/image.jpeg', 'rb') # file_type |  (optional)
 
     # example passing only required values which don't have defaults set
@@ -219,7 +220,7 @@ with openapi_client.ApiClient(configuration) as api_client:
     # example passing only required values which don't have defaults set
     # and optional values
     try:
-        api_response = api_instance.submit_image_query(detector_id, human_review=human_review, patience_time=patience_time, body=body)
+        api_response = api_instance.submit_image_query(detector_id, human_review=human_review, patience_time=patience_time, want_async=want_async, body=body)
         pprint(api_response)
     except openapi_client.ApiException as e:
         print("Exception when calling ImageQueriesApi->submit_image_query: %s\n" % e)
@@ -233,6 +234,7 @@ Name | Type | Description  | Notes
  **detector_id** | **str**| Choose a detector by its ID. |
  **human_review** | **str**| If set to `DEFAULT`, use the regular escalation logic (i.e., send the image query for human review if the ML model is not confident). If set to `ALWAYS`, always send the image query for human review even if the ML model is confident. If set to `NEVER`, never send the image query for human review even if the ML model is not confident.  | [optional]
  **patience_time** | **float**| How long to wait for a confident response. | [optional]
+ **want_async** | **bool**| If set to `true`, the server returns immediately without a result and query's result is calculated asynchronously. | [optional]
  **body** | **file_type**|  | [optional]
 
 ### Return type

generated/model.py

@@ -1,6 +1,6 @@
 # generated by datamodel-codegen:
 #   filename:  public-api.yaml
-#   timestamp: 2023-08-09T20:46:11+00:00
+#   timestamp: 2023-10-16T22:28:48+00:00
 
 from __future__ import annotations
 
@@ -69,7 +69,7 @@ class ImageQuery(BaseModel):
     query: str = Field(..., description="A question about the image.")
     detector_id: str = Field(..., description="Which detector was used on this image query?")
     result_type: ResultTypeEnum = Field(..., description="What type of result are we returning?")
-    result: ClassificationResult | None = Field(..., description="Groundlight's answer to your query.")
+    result: ClassificationResult
 
 
 class PaginatedDetectorList(BaseModel):

generated/openapi_client/api/image_queries_api.py

@@ -133,6 +133,7 @@ def __init__(self, api_client=None):
                     "detector_id",
                     "human_review",
                     "patience_time",
+                    "want_async",
                     "body",
                 ],
                 "required": [
@@ -149,17 +150,20 @@ def __init__(self, api_client=None):
                     "detector_id": (str,),
                     "human_review": (str,),
                     "patience_time": (float,),
+                    "want_async": (bool,),
                     "body": (file_type,),
                 },
                 "attribute_map": {
                     "detector_id": "detector_id",
                     "human_review": "human_review",
                     "patience_time": "patience_time",
+                    "want_async": "want_async",
                 },
                 "location_map": {
                     "detector_id": "query",
                     "human_review": "query",
                     "patience_time": "query",
+                    "want_async": "query",
                     "body": "body",
                 },
                 "collection_format_map": {},
@@ -299,6 +303,7 @@ def submit_image_query(self, detector_id, **kwargs):
         Keyword Args:
             human_review (str): If set to `DEFAULT`, use the regular escalation logic (i.e., send the image query for human review if the ML model is not confident). If set to `ALWAYS`, always send the image query for human review even if the ML model is confident. If set to `NEVER`, never send the image query for human review even if the ML model is not confident. . [optional]
             patience_time (float): How long to wait for a confident response.. [optional]
+            want_async (bool): If set to `true`, the server returns immediately without a result and query's result is calculated asynchronously.. [optional]
             body (file_type): [optional]
             _return_http_data_only (bool): response data without head status
                 code and headers. Default is True.