Tests aren't passing because I didn't update the autogenerated code to expect a new param

Author: sunildkumar

generated/docs/ImageQueriesApi.md

@@ -181,6 +181,7 @@ Name | Type | Description  | Notes
 import time
 import openapi_client
 from openapi_client.api import image_queries_api
+from openapi_client.model.bool import Bool
 from openapi_client.model.image_query import ImageQuery
 from pprint import pprint
 # Defining the host is optional and defaults to https://api.groundlight.ai/device-api
@@ -207,6 +208,7 @@ 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 =  # Bool | If set to `true`, server returns response immediately and result is computed 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 +221,7 @@ 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 +235,7 @@ 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`, server returns response immediately and result is computed 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: 2023-10-16T21:00:27+00:00
 
 from __future__ import annotations
 

generated/openapi_client/api/image_queries_api.py

@@ -22,6 +22,7 @@
     none_type,
     validate_and_convert_types,
 )
+from openapi_client.model.bool import Bool
 from openapi_client.model.image_query import ImageQuery
 from openapi_client.model.paginated_image_query_list import PaginatedImageQueryList
 
@@ -133,6 +134,7 @@ def __init__(self, api_client=None):
                     "detector_id",
                     "human_review",
                     "patience_time",
+                    "want_async",
                     "body",
                 ],
                 "required": [
@@ -149,17 +151,20 @@ 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 +304,7 @@ 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`, server returns response immediately and result is computed asynchronously.. [optional]
             body (file_type): [optional]
             _return_http_data_only (bool): response data without head status
                 code and headers. Default is True.

spec/public-api.yaml

@@ -126,28 +126,34 @@ paths:
         ```
 
       parameters:
-        - in: query
-          name: detector_id
-          schema:
-            type: string
-          description: Choose a detector by its ID.
-          required: true
-        - in: query
-          name: human_review
-          schema:
-            type: string
-          description: >
-            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.
-          required: false
-        - in: query
-          name: patience_time
-          schema:
-            type: number
-            format: float
-          description: How long to wait for a confident response.
-          required: false
+      - in: query
+        name: detector_id
+        schema:
+          type: string
+        description: Choose a detector by its ID.
+        required: true
+      - in: query 
+        name: human_review 
+        schema: 
+          type: string 
+        description: > 
+          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.
+        required: false 
+      - in: query 
+        name: patience_time 
+        schema: 
+          type: number 
+          format: float 
+        description: How long to wait for a confident response. 
+        required: false 
+      - in: query 
+        name: want_async 
+        schema: 
+          type: bool
+        description: If set to `true`, server returns response immediately and result is computed asynchronously.
+        required: false
       tags:
         - image-queries
       requestBody: