Webhooks for alerts (#309)

Webhooks have been recently added as an action option for Groundlight,
this PR makes them accessible through the SDK.

---------

Co-authored-by: Auto-format Bot <autoformatbot@groundlight.ai>

Author: f-wright

generated/.openapi-generator/FILES

@@ -48,8 +48,11 @@ docs/RuleRequest.md
 docs/SnoozeTimeUnitEnum.md
 docs/SourceEnum.md
 docs/StatusEnum.md
+docs/TextRecognitionResult.md
 docs/UserApi.md
 docs/VerbEnum.md
+docs/WebhookAction.md
+docs/WebhookActionRequest.md
 git_push.sh
 groundlight_openapi_client/__init__.py
 groundlight_openapi_client/api/__init__.py
@@ -107,7 +110,10 @@ groundlight_openapi_client/model/rule_request.py
 groundlight_openapi_client/model/snooze_time_unit_enum.py
 groundlight_openapi_client/model/source_enum.py
 groundlight_openapi_client/model/status_enum.py
+groundlight_openapi_client/model/text_recognition_result.py
 groundlight_openapi_client/model/verb_enum.py
+groundlight_openapi_client/model/webhook_action.py
+groundlight_openapi_client/model/webhook_action_request.py
 groundlight_openapi_client/model_utils.py
 groundlight_openapi_client/models/__init__.py
 groundlight_openapi_client/rest.py
@@ -116,4 +122,7 @@ setup.cfg
 setup.py
 test-requirements.txt
 test/__init__.py
+test/test_text_recognition_result.py
+test/test_webhook_action.py
+test/test_webhook_action_request.py
 tox.ini

generated/README.md

@@ -90,6 +90,12 @@ rule_request = RuleRequest(
             },
         ),
         action=None,
+        webhook_action=[
+            WebhookActionRequest(
+                url="url_example",
+                include_image=True,
+            ),
+        ],
     ) # RuleRequest | 
 
     try:
@@ -171,7 +177,10 @@ Class | Method | HTTP request | Description
  - [SnoozeTimeUnitEnum](docs/SnoozeTimeUnitEnum.md)
  - [SourceEnum](docs/SourceEnum.md)
  - [StatusEnum](docs/StatusEnum.md)
+ - [TextRecognitionResult](docs/TextRecognitionResult.md)
  - [VerbEnum](docs/VerbEnum.md)
+ - [WebhookAction](docs/WebhookAction.md)
+ - [WebhookActionRequest](docs/WebhookActionRequest.md)
 
 
 ## Documentation For Authorization

generated/docs/ActionsApi.md

@@ -65,6 +65,12 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
             },
         ),
         action=None,
+        webhook_action=[
+            WebhookActionRequest(
+                url="url_example",
+                include_image=True,
+            ),
+        ],
     ) # RuleRequest | 
 
     # example passing only required values which don't have defaults set
@@ -296,13 +302,23 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
     # Create an instance of the API class
     api_instance = actions_api.ActionsApi(api_client)
     detector_id = "detector_id_example" # str | 
+    page = 1 # int | A page number within the paginated result set. (optional)
+    page_size = 1 # int | Number of results to return per page. (optional)
 
     # example passing only required values which don't have defaults set
     try:
         api_response = api_instance.list_detector_rules(detector_id)
         pprint(api_response)
     except groundlight_openapi_client.ApiException as e:
         print("Exception when calling ActionsApi->list_detector_rules: %s\n" % e)
+
+    # example passing only required values which don't have defaults set
+    # and optional values
+    try:
+        api_response = api_instance.list_detector_rules(detector_id, page=page, page_size=page_size)
+        pprint(api_response)
+    except groundlight_openapi_client.ApiException as e:
+        print("Exception when calling ActionsApi->list_detector_rules: %s\n" % e)
 ```
 
 
@@ -311,6 +327,8 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
 Name | Type | Description  | Notes
 ------------- | ------------- | ------------- | -------------
  **detector_id** | **str**|  |
+ **page** | **int**| A page number within the paginated result set. | [optional]
+ **page_size** | **int**| Number of results to return per page. | [optional]
 
 ### Return type
 

generated/docs/BinaryClassificationResult.md

@@ -5,7 +5,7 @@
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
 **label** | **str** |  | 
-**confidence** | **float** |  | [optional] 
+**confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [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]
 

generated/docs/CountingResult.md

@@ -5,7 +5,7 @@
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
 **count** | **int, none_type** |  | 
-**confidence** | **float** |  | [optional] 
+**confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [optional] 
 **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]

generated/docs/DetectorCreationInputRequest.md

@@ -12,7 +12,7 @@ Name | Type | Description | Notes
 **patience_time** | **float** | How long Groundlight will attempt to generate a confident prediction | [optional]  if omitted the server will use the default value of 30.0
 **pipeline_config** | **str, none_type** | (Advanced usage) Configuration needed to instantiate a prediction pipeline. | [optional] 
 **metadata** | **str** | Base64-encoded metadata for the detector. This should be a JSON object with string keys. The size after encoding should not exceed 1362 bytes, corresponding to 1KiB before encoding. | [optional] 
-**mode** | **bool, date, datetime, dict, float, int, list, str, none_type** | Mode in which this detector will work.  * `BINARY` - BINARY * `COUNT` - COUNT * `MULTI_CLASS` - MULTI_CLASS | [optional] 
+**mode** | **bool, date, datetime, dict, float, int, list, str, none_type** | Mode in which this detector will work.  * `BINARY` - BINARY * `COUNT` - COUNT * `MULTI_CLASS` - MULTI_CLASS * `TEXT` - TEXT | [optional] 
 **mode_configuration** | **bool, date, datetime, dict, float, int, list, str, none_type** |  | [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]
 

generated/docs/ImageQueriesApi.md

@@ -201,14 +201,14 @@ configuration.api_key['ApiToken'] = 'YOUR_API_KEY'
 with groundlight_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 | Optionally filter image queries by detector ID. (optional)
     page = 1 # int | A page number within the paginated result set. (optional)
     page_size = 1 # int | Number of items to return per page. (optional)
-    detector_id = "detector_id_example" # str | Optionally filter image queries by detector ID. (optional)
 
     # example passing only required values which don't have defaults set
     # and optional values
     try:
-        api_response = api_instance.list_image_queries(page=page, page_size=page_size, detector_id=detector_id)
+        api_response = api_instance.list_image_queries(detector_id=detector_id, page=page, page_size=page_size)
         pprint(api_response)
     except groundlight_openapi_client.ApiException as e:
         print("Exception when calling ImageQueriesApi->list_image_queries: %s\n" % e)
@@ -219,9 +219,9 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
 
 Name | Type | Description  | Notes
 ------------- | ------------- | ------------- | -------------
+ **detector_id** | **str**| Optionally filter image queries by detector ID. | [optional]
  **page** | **int**| A page number within the paginated result set. | [optional]
  **page_size** | **int**| Number of items to return per page. | [optional]
- **detector_id** | **str**| Optionally filter image queries by detector ID. | [optional]
 
 ### Return type
 

generated/docs/ModeEnum.md

@@ -4,7 +4,7 @@
 ## Properties
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
-**value** | **str** |  |  must be one of ["BINARY", "COUNT", "MULTI_CLASS", ]
+**value** | **str** |  |  must be one of ["BINARY", "COUNT", "MULTI_CLASS", "TEXT", ]
 
 [[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/MultiClassificationResult.md

@@ -5,7 +5,7 @@
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
 **label** | **str** |  | 
-**confidence** | **float** |  | [optional] 
+**confidence** | **float, none_type** |  | [optional] 
 **source** | **str** |  | [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]
 

generated/docs/Note.md

@@ -5,7 +5,8 @@
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
 **detector_id** | **str** |  | [readonly] 
-**content** | **str** | Text content of the note. | 
+**content** | **str, none_type** | Text content of the note. | [optional] 
+**is_pinned** | **bool, none_type** |  | [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)