Update public-api.yaml to image/jpeg

Author: michael-groundlight

generated/docs/ClassificationResult.md

@@ -6,7 +6,7 @@ Our classification result. This result can come from the detector, or a human re
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
 **label** | **str** | What is the predicted label? | 
-**confidence** | **float** | On a scale of 0 to 1, how confident are we in the predicted label? | [optional] 
+**confidence** | **float, none_type** | On a scale of 0 to 1, how confident are we in the predicted label? | [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/ImageQueriesApi.md

@@ -205,8 +205,7 @@ with openapi_client.ApiClient(configuration) as api_client:
     # Create an instance of the API class
     api_instance = image_queries_api.ImageQueriesApi(api_client)
     detector_id = "detector_id_example" # str | Choose a detector by its ID.
-    image_query = ImageQuery(
-    ) # ImageQuery |  (optional)
+    body = open('@path/to/image.jpeg', 'rb') # file_type |  (optional)
 
     # example passing only required values which don't have defaults set
     try:
@@ -218,7 +217,7 @@ 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, image_query=image_query)
+        api_response = api_instance.submit_image_query(detector_id, body=body)
         pprint(api_response)
     except openapi_client.ApiException as e:
         print("Exception when calling ImageQueriesApi->submit_image_query: %s\n" % e)
@@ -230,7 +229,7 @@ with openapi_client.ApiClient(configuration) as api_client:
 Name | Type | Description  | Notes
 ------------- | ------------- | ------------- | -------------
  **detector_id** | **str**| Choose a detector by its ID. |
- **image_query** | [**ImageQuery**](ImageQuery.md)|  | [optional]
+ **body** | **file_type**|  | [optional]
 
 ### Return type
 
@@ -242,7 +241,7 @@ Name | Type | Description  | Notes
 
 ### HTTP request headers
 
- - **Content-Type**: application/json, application/x-www-form-urlencoded, multipart/form-data
+ - **Content-Type**: image/jpeg
  - **Accept**: application/json
 
 

generated/model.py

@@ -1,6 +1,6 @@
 # generated by datamodel-codegen:
 #   filename:  public-api.yaml
-#   timestamp: 2022-05-08T05:20:12+00:00
+#   timestamp: 2022-05-08T05:27:06+00:00
 
 from __future__ import annotations
 

generated/openapi_client/api/image_queries_api.py

@@ -156,7 +156,7 @@ def __init__(self, api_client=None):
             params_map={
                 'all': [
                     'detector_id',
-                    'image_query',
+                    'body',
                 ],
                 'required': [
                     'detector_id',
@@ -176,15 +176,15 @@ def __init__(self, api_client=None):
                 'openapi_types': {
                     'detector_id':
                         (str,),
-                    'image_query':
-                        (ImageQuery,),
+                    'body':
+                        (file_type,),
                 },
                 'attribute_map': {
                     'detector_id': 'detector_id',
                 },
                 'location_map': {
                     'detector_id': 'query',
-                    'image_query': 'body',
+                    'body': 'body',
                 },
                 'collection_format_map': {
                 }
@@ -194,9 +194,7 @@ def __init__(self, api_client=None):
                     'application/json'
                 ],
                 'content_type': [
-                    'application/json',
-                    'application/x-www-form-urlencoded',
-                    'multipart/form-data'
+                    'image/jpeg'
                 ]
             },
             api_client=api_client
@@ -373,7 +371,7 @@ def submit_image_query(
             detector_id (str): Choose a detector by its ID.
 
         Keyword Args:
-            image_query (ImageQuery): [optional]
+            body (file_type): [optional]
             _return_http_data_only (bool): response data without head status
                 code and headers. Default is True.
             _preload_content (bool): if False, the urllib3.HTTPResponse object

generated/openapi_client/model/classification_result.py

@@ -87,7 +87,7 @@ def openapi_types():
         """
         return {
             'label': (str,),  # noqa: E501
-            'confidence': (float,),  # noqa: E501
+            'confidence': (float, none_type,),  # noqa: E501
         }
 
     @cached_property
@@ -144,7 +144,7 @@ def _from_openapi_data(cls, label, *args, **kwargs):  # noqa: E501
                                 Animal class but this time we won't travel
                                 through its discriminator because we passed in
                                 _visited_composed_classes = (Animal,)
-            confidence (float): On a scale of 0 to 1, how confident are we in the predicted label?. [optional]  # noqa: E501
+            confidence (float, none_type): On a scale of 0 to 1, how confident are we in the predicted label?. [optional]  # noqa: E501
         """
 
         _check_type = kwargs.pop('_check_type', True)
@@ -230,7 +230,7 @@ def __init__(self, label, *args, **kwargs):  # noqa: E501
                                 Animal class but this time we won't travel
                                 through its discriminator because we passed in
                                 _visited_composed_classes = (Animal,)
-            confidence (float): On a scale of 0 to 1, how confident are we in the predicted label?. [optional]  # noqa: E501
+            confidence (float, none_type): On a scale of 0 to 1, how confident are we in the predicted label?. [optional]  # noqa: E501
         """
 
         _check_type = kwargs.pop('_check_type', True)

spec/public-api.yaml

@@ -136,19 +136,14 @@ paths:
       - image-queries
       requestBody:
         content:
-          application/json:
+          image/jpeg:
             schema:
-              $ref: '#/components/schemas/ImageQuery'
+              type: string
+              format: binary
             examples:
               JPEGBinaryImageData:
                 value: '@path/to/image.jpeg'
                 summary: JPEG binary image data
-          application/x-www-form-urlencoded:
-            schema:
-              $ref: '#/components/schemas/ImageQuery'
-          multipart/form-data:
-            schema:
-              $ref: '#/components/schemas/ImageQuery'
       security:
       - ApiToken: []
       responses:
@@ -189,9 +184,9 @@ components:
       properties:
         confidence:
           type: number
-          format: double
           maximum: 1
           minimum: 0
+          nullable: true
           description: On a scale of 0 to 1, how confident are we in the predicted
             label?
         label: