1efe6ac282329a40beb897ea122e57c9848d5082

Author: github-actions[bot]

.openapi-generator/FILES

@@ -229,7 +229,4 @@ setup.cfg
 setup.py
 test-requirements.txt
 test/__init__.py
-test/test_pipeline_embedding.py
-test/test_pipeline_embedding_list.py
-test/test_pipeline_embeddings_api.py
 tox.ini

docs/PipelineConfigsApi.md

@@ -12,7 +12,7 @@ Method | HTTP request | Description
 
 
 # **pipeline_configs_get**
-> PipelineConfigList pipeline_configs_get(pipeline=pipeline, paginate=paginate)
+> PipelineConfigList pipeline_configs_get(pipeline=pipeline, paginate=paginate, has_embeddings=has_embeddings, embedding_dimensions=embedding_dimensions)
 
 GET a list of pipeline configs
 
@@ -38,10 +38,12 @@ with neurostore_sdk.ApiClient(configuration) as api_client:
     api_instance = neurostore_sdk.PipelineConfigsApi(api_client)
     pipeline = ['pipeline_example'] # List[str] | Filter configs by pipeline name (optional)
     paginate = True # bool | whether to paginate results (true) or return all results at once (false) (optional) (default to True)
+    has_embeddings = True # bool | Filter configs as whether they have embeddings saved. (optional)
+    embedding_dimensions = 56 # int | Filter configs by number of dimensions in the embeddings. (optional)
 
     try:
         # GET a list of pipeline configs
-        api_response = api_instance.pipeline_configs_get(pipeline=pipeline, paginate=paginate)
+        api_response = api_instance.pipeline_configs_get(pipeline=pipeline, paginate=paginate, has_embeddings=has_embeddings, embedding_dimensions=embedding_dimensions)
         print("The response of PipelineConfigsApi->pipeline_configs_get:\n")
         pprint(api_response)
     except Exception as e:
@@ -57,6 +59,8 @@ Name | Type | Description  | Notes
 ------------- | ------------- | ------------- | -------------
  **pipeline** | [**List[str]**](str.md)| Filter configs by pipeline name | [optional] 
  **paginate** | **bool**| whether to paginate results (true) or return all results at once (false) | [optional] [default to True]
+ **has_embeddings** | **bool**| Filter configs as whether they have embeddings saved. | [optional] 
+ **embedding_dimensions** | **int**| Filter configs by number of dimensions in the embeddings. | [optional] 
 
 ### Return type
 

neurostore_sdk/api/pipeline_configs_api.py

@@ -17,7 +17,7 @@
 from typing import Any, Dict, List, Optional, Tuple, Union
 from typing_extensions import Annotated
 
-from pydantic import Field, StrictBool, StrictStr
+from pydantic import Field, StrictBool, StrictInt, StrictStr
 from typing import List, Optional
 from typing_extensions import Annotated
 from neurostore_sdk.models.pipeline_config import PipelineConfig
@@ -46,6 +46,8 @@ def pipeline_configs_get(
         self,
         pipeline: Annotated[Optional[List[StrictStr]], Field(description="Filter configs by pipeline name")] = None,
         paginate: Annotated[Optional[StrictBool], Field(description="whether to paginate results (true) or return all results at once (false)")] = None,
+        has_embeddings: Annotated[Optional[StrictBool], Field(description="Filter configs as whether they have embeddings saved.")] = None,
+        embedding_dimensions: Annotated[Optional[StrictInt], Field(description="Filter configs by number of dimensions in the embeddings.")] = None,
         _request_timeout: Union[
             None,
             Annotated[StrictFloat, Field(gt=0)],
@@ -66,6 +68,10 @@ def pipeline_configs_get(
         :type pipeline: List[str]
         :param paginate: whether to paginate results (true) or return all results at once (false)
         :type paginate: bool
+        :param has_embeddings: Filter configs as whether they have embeddings saved.
+        :type has_embeddings: bool
+        :param embedding_dimensions: Filter configs by number of dimensions in the embeddings.
+        :type embedding_dimensions: int
         :param _request_timeout: timeout setting for this request. If one
                                  number provided, it will be total request
                                  timeout. It can also be a pair (tuple) of
@@ -91,6 +97,8 @@ def pipeline_configs_get(
         _param = self._pipeline_configs_get_serialize(
             pipeline=pipeline,
             paginate=paginate,
+            has_embeddings=has_embeddings,
+            embedding_dimensions=embedding_dimensions,
             _request_auth=_request_auth,
             _content_type=_content_type,
             _headers=_headers,
@@ -116,6 +124,8 @@ def pipeline_configs_get_with_http_info(
         self,
         pipeline: Annotated[Optional[List[StrictStr]], Field(description="Filter configs by pipeline name")] = None,
         paginate: Annotated[Optional[StrictBool], Field(description="whether to paginate results (true) or return all results at once (false)")] = None,
+        has_embeddings: Annotated[Optional[StrictBool], Field(description="Filter configs as whether they have embeddings saved.")] = None,
+        embedding_dimensions: Annotated[Optional[StrictInt], Field(description="Filter configs by number of dimensions in the embeddings.")] = None,
         _request_timeout: Union[
             None,
             Annotated[StrictFloat, Field(gt=0)],
@@ -136,6 +146,10 @@ def pipeline_configs_get_with_http_info(
         :type pipeline: List[str]
         :param paginate: whether to paginate results (true) or return all results at once (false)
         :type paginate: bool
+        :param has_embeddings: Filter configs as whether they have embeddings saved.
+        :type has_embeddings: bool
+        :param embedding_dimensions: Filter configs by number of dimensions in the embeddings.
+        :type embedding_dimensions: int
         :param _request_timeout: timeout setting for this request. If one
                                  number provided, it will be total request
                                  timeout. It can also be a pair (tuple) of
@@ -161,6 +175,8 @@ def pipeline_configs_get_with_http_info(
         _param = self._pipeline_configs_get_serialize(
             pipeline=pipeline,
             paginate=paginate,
+            has_embeddings=has_embeddings,
+            embedding_dimensions=embedding_dimensions,
             _request_auth=_request_auth,
             _content_type=_content_type,
             _headers=_headers,
@@ -186,6 +202,8 @@ def pipeline_configs_get_without_preload_content(
         self,
         pipeline: Annotated[Optional[List[StrictStr]], Field(description="Filter configs by pipeline name")] = None,
         paginate: Annotated[Optional[StrictBool], Field(description="whether to paginate results (true) or return all results at once (false)")] = None,
+        has_embeddings: Annotated[Optional[StrictBool], Field(description="Filter configs as whether they have embeddings saved.")] = None,
+        embedding_dimensions: Annotated[Optional[StrictInt], Field(description="Filter configs by number of dimensions in the embeddings.")] = None,
         _request_timeout: Union[
             None,
             Annotated[StrictFloat, Field(gt=0)],
@@ -206,6 +224,10 @@ def pipeline_configs_get_without_preload_content(
         :type pipeline: List[str]
         :param paginate: whether to paginate results (true) or return all results at once (false)
         :type paginate: bool
+        :param has_embeddings: Filter configs as whether they have embeddings saved.
+        :type has_embeddings: bool
+        :param embedding_dimensions: Filter configs by number of dimensions in the embeddings.
+        :type embedding_dimensions: int
         :param _request_timeout: timeout setting for this request. If one
                                  number provided, it will be total request
                                  timeout. It can also be a pair (tuple) of
@@ -231,6 +253,8 @@ def pipeline_configs_get_without_preload_content(
         _param = self._pipeline_configs_get_serialize(
             pipeline=pipeline,
             paginate=paginate,
+            has_embeddings=has_embeddings,
+            embedding_dimensions=embedding_dimensions,
             _request_auth=_request_auth,
             _content_type=_content_type,
             _headers=_headers,
@@ -251,6 +275,8 @@ def _pipeline_configs_get_serialize(
         self,
         pipeline,
         paginate,
+        has_embeddings,
+        embedding_dimensions,
         _request_auth,
         _content_type,
         _headers,
@@ -282,6 +308,14 @@ def _pipeline_configs_get_serialize(
 
             _query_params.append(('paginate', paginate))
 
+        if has_embeddings is not None:
+            
+            _query_params.append(('has_embeddings', has_embeddings))
+            
+        if embedding_dimensions is not None:
+            
+            _query_params.append(('embedding_dimensions', embedding_dimensions))
+            
         # process the header parameters
         # process the form parameters
         # process the body parameter