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chore: regenerate client from OpenAPI spec (#57)
Co-authored-by: hotdata-automation[bot] <267177015+hotdata-automation[bot]@users.noreply.github.com>
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‎.openapi-generator/FILES‎

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@@ -287,7 +287,4 @@ requirements.txt
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setup.cfg
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test-requirements.txt
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test/__init__.py
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test/test_dataset_source_one_of2.py
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test/test_dataset_source_one_of3.py
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test/test_dataset_source_one_of4.py
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tox.ini

‎docs/CreateIndexRequest.md‎

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**var_async** | **bool** | When true, create the index as a background job and return a job ID for polling. | [optional]
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**columns** | **List[str]** | Columns to index. Required for all index types. |
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**description** | **str** | User-facing description of the embedding (e.g., \&quot;product descriptions\&quot;). | [optional]
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**dimensions** | **int** | Output vector dimensions. Some models support multiple dimension sizes (e.g., OpenAI text-embedding-3-small supports 512 or 1536). If omitted, the model&#39;s default dimensions are used. | [optional]
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**dimensions** | **int** | Output vector dimensions. Some models support multiple dimension sizes (e.g., OpenAI text-embedding-3-small supports 512 or 1536). If omitted, the model&#39;s default dimensions are used | [optional]
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**embedding_provider_id** | **str** | Embedding provider ID. When set for a vector index, the source column is treated as text and embeddings are generated automatically. The vector index is then built on the generated embedding column (&#x60;{column}_embedding&#x60; by default). | [optional]
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**index_name** | **str** | |
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**index_type** | **str** | Index type: \&quot;sorted\&quot; (default), \&quot;bm25\&quot;, or \&quot;vector\&quot; | [optional]

‎docs/IndexesApi.md‎

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Method | HTTP request | Description
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------------- | ------------- | -------------
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[**create_dataset_index**](IndexesApi.md#create_dataset_index) | **POST** /v1/datasets/{dataset_id}/indexes | Create an index on a dataset
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[**create_index**](IndexesApi.md#create_index) | **POST** /v1/connections/{connection_id}/tables/{schema}/{table}/indexes | Create an index on a table
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[**delete_dataset_index**](IndexesApi.md#delete_dataset_index) | **DELETE** /v1/datasets/{dataset_id}/indexes/{index_name} | Delete a dataset index
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[**delete_index**](IndexesApi.md#delete_index) | **DELETE** /v1/connections/{connection_id}/tables/{schema}/{table}/indexes/{index_name} | Delete an index
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[**list_dataset_indexes**](IndexesApi.md#list_dataset_indexes) | **GET** /v1/datasets/{dataset_id}/indexes | List indexes on a dataset
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[**list_indexes**](IndexesApi.md#list_indexes) | **GET** /v1/connections/{connection_id}/tables/{schema}/{table}/indexes | List indexes on a table
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# **create_dataset_index**
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> IndexInfoResponse create_dataset_index(dataset_id, create_index_request)
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Create an index on a dataset
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Create a sorted, BM25, or vector index on a dataset.
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### Example
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* Api Key Authentication (WorkspaceId):
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* Api Key Authentication (SessionId):
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* Bearer Authentication (BearerAuth):
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```python
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import hotdata
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from hotdata.models.create_index_request import CreateIndexRequest
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from hotdata.models.index_info_response import IndexInfoResponse
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from hotdata.rest import ApiException
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from pprint import pprint
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# Defining the host is optional and defaults to https://api.hotdata.dev
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# See configuration.py for a list of all supported configuration parameters.
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configuration = hotdata.Configuration(
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host = "https://api.hotdata.dev"
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)
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# The client must configure the authentication and authorization parameters
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# in accordance with the API server security policy.
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# Examples for each auth method are provided below, use the example that
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# satisfies your auth use case.
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# Configure API key authorization: WorkspaceId
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configuration.api_key['WorkspaceId'] = os.environ["API_KEY"]
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# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
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# configuration.api_key_prefix['WorkspaceId'] = 'Bearer'
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# Configure API key authorization: SessionId
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configuration.api_key['SessionId'] = os.environ["API_KEY"]
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# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
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# configuration.api_key_prefix['SessionId'] = 'Bearer'
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# Configure Bearer authorization: BearerAuth
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configuration = hotdata.Configuration(
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access_token = os.environ["BEARER_TOKEN"]
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)
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# Enter a context with an instance of the API client
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with hotdata.ApiClient(configuration) as api_client:
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# Create an instance of the API class
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api_instance = hotdata.IndexesApi(api_client)
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dataset_id = 'dataset_id_example' # str | Dataset identifier
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create_index_request = hotdata.CreateIndexRequest() # CreateIndexRequest |
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try:
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# Create an index on a dataset
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api_response = api_instance.create_dataset_index(dataset_id, create_index_request)
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print("The response of IndexesApi->create_dataset_index:\n")
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pprint(api_response)
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except Exception as e:
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print("Exception when calling IndexesApi->create_dataset_index: %s\n" % e)
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```
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### Parameters
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Name | Type | Description | Notes
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------------- | ------------- | ------------- | -------------
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**dataset_id** | **str**| Dataset identifier |
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**create_index_request** | [**CreateIndexRequest**](CreateIndexRequest.md)| |
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### Return type
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[**IndexInfoResponse**](IndexInfoResponse.md)
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### Authorization
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[WorkspaceId](../README.md#WorkspaceId), [SessionId](../README.md#SessionId), [BearerAuth](../README.md#BearerAuth)
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### HTTP request headers
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- **Content-Type**: application/json
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- **Accept**: application/json
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### HTTP response details
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| Status code | Description | Response headers |
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|-------------|-------------|------------------|
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**201** | Index created | - |
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**400** | Invalid request | - |
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**404** | Dataset not found | - |
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**500** | Internal server error | - |
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[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)
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# **create_index**
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> IndexInfoResponse create_index(connection_id, var_schema, table, create_index_request)
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[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)
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# **delete_dataset_index**
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> delete_dataset_index(dataset_id, index_name)
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Delete a dataset index
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Delete a specific index from a dataset.
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### Example
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* Api Key Authentication (WorkspaceId):
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* Api Key Authentication (SessionId):
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* Bearer Authentication (BearerAuth):
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```python
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import hotdata
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from hotdata.rest import ApiException
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from pprint import pprint
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# Defining the host is optional and defaults to https://api.hotdata.dev
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# See configuration.py for a list of all supported configuration parameters.
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configuration = hotdata.Configuration(
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host = "https://api.hotdata.dev"
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)
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# The client must configure the authentication and authorization parameters
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# in accordance with the API server security policy.
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# Examples for each auth method are provided below, use the example that
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# satisfies your auth use case.
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# Configure API key authorization: WorkspaceId
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configuration.api_key['WorkspaceId'] = os.environ["API_KEY"]
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# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
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# configuration.api_key_prefix['WorkspaceId'] = 'Bearer'
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# Configure API key authorization: SessionId
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configuration.api_key['SessionId'] = os.environ["API_KEY"]
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# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
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# configuration.api_key_prefix['SessionId'] = 'Bearer'
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# Configure Bearer authorization: BearerAuth
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configuration = hotdata.Configuration(
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access_token = os.environ["BEARER_TOKEN"]
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)
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# Enter a context with an instance of the API client
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with hotdata.ApiClient(configuration) as api_client:
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# Create an instance of the API class
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api_instance = hotdata.IndexesApi(api_client)
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dataset_id = 'dataset_id_example' # str | Dataset identifier
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index_name = 'index_name_example' # str | Index name
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try:
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# Delete a dataset index
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api_instance.delete_dataset_index(dataset_id, index_name)
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except Exception as e:
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print("Exception when calling IndexesApi->delete_dataset_index: %s\n" % e)
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```
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### Parameters
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Name | Type | Description | Notes
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------------- | ------------- | ------------- | -------------
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**dataset_id** | **str**| Dataset identifier |
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**index_name** | **str**| Index name |
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### Return type
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void (empty response body)
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### Authorization
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[WorkspaceId](../README.md#WorkspaceId), [SessionId](../README.md#SessionId), [BearerAuth](../README.md#BearerAuth)
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### HTTP request headers
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- **Content-Type**: Not defined
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- **Accept**: application/json
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### HTTP response details
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| Status code | Description | Response headers |
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|-------------|-------------|------------------|
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**204** | Index deleted | - |
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**404** | Index or dataset not found | - |
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[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)
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# **delete_index**
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> delete_index(connection_id, var_schema, table, index_name)
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[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)
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# **list_dataset_indexes**
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> ListIndexesResponse list_dataset_indexes(dataset_id)
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List indexes on a dataset
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List all indexes created on a dataset.
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### Example
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* Api Key Authentication (WorkspaceId):
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* Api Key Authentication (SessionId):
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* Bearer Authentication (BearerAuth):
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```python
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import hotdata
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from hotdata.models.list_indexes_response import ListIndexesResponse
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from hotdata.rest import ApiException
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from pprint import pprint
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# Defining the host is optional and defaults to https://api.hotdata.dev
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# See configuration.py for a list of all supported configuration parameters.
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configuration = hotdata.Configuration(
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host = "https://api.hotdata.dev"
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)
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# The client must configure the authentication and authorization parameters
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# in accordance with the API server security policy.
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# Examples for each auth method are provided below, use the example that
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# satisfies your auth use case.
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# Configure API key authorization: WorkspaceId
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configuration.api_key['WorkspaceId'] = os.environ["API_KEY"]
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# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
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# configuration.api_key_prefix['WorkspaceId'] = 'Bearer'
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# Configure API key authorization: SessionId
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configuration.api_key['SessionId'] = os.environ["API_KEY"]
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# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
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# configuration.api_key_prefix['SessionId'] = 'Bearer'
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# Configure Bearer authorization: BearerAuth
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configuration = hotdata.Configuration(
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access_token = os.environ["BEARER_TOKEN"]
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)
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# Enter a context with an instance of the API client
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with hotdata.ApiClient(configuration) as api_client:
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# Create an instance of the API class
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api_instance = hotdata.IndexesApi(api_client)
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dataset_id = 'dataset_id_example' # str | Dataset identifier
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try:
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# List indexes on a dataset
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api_response = api_instance.list_dataset_indexes(dataset_id)
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print("The response of IndexesApi->list_dataset_indexes:\n")
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pprint(api_response)
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except Exception as e:
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print("Exception when calling IndexesApi->list_dataset_indexes: %s\n" % e)
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```
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### Parameters
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Name | Type | Description | Notes
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------------- | ------------- | ------------- | -------------
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**dataset_id** | **str**| Dataset identifier |
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### Return type
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[**ListIndexesResponse**](ListIndexesResponse.md)
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### Authorization
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[WorkspaceId](../README.md#WorkspaceId), [SessionId](../README.md#SessionId), [BearerAuth](../README.md#BearerAuth)
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### HTTP request headers
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- **Content-Type**: Not defined
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- **Accept**: application/json
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### HTTP response details
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| Status code | Description | Response headers |
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|-------------|-------------|------------------|
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**200** | Indexes listed | - |
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**404** | Dataset not found | - |
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[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)
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# **list_indexes**
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> ListIndexesResponse list_indexes(connection_id, var_schema, table)
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‎docs/JobType.md‎

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* `CREATE_INDEX` (value: `'create_index'`)
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* `CREATE_DATASET_INDEX` (value: `'create_dataset_index'`)
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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‎docs/UploadsApi.md‎

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[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)
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# **upload_file**
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> UploadResponse upload_file(body, streaming=streaming)
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> UploadResponse upload_file(body)
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Upload file
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Upload a file to be used as a dataset source. Send the raw file bytes as the request body with an appropriate Content-Type header (e.g., `text/csv`, `application/json`, `application/parquet`). The returned upload ID can be passed to POST /v1/datasets to create a queryable table. Add `?streaming=true` for large files (up to 20GB) — streams to disk instead of loading into memory.
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Upload a file to be used as a dataset source. Send the raw file bytes as the request body with an appropriate Content-Type header (e.g., `text/csv`, `application/json`, `application/parquet`). The body is streamed to disk, so files up to 20GB are supported. The returned upload ID can be passed to POST /v1/datasets to create a queryable table.
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### Example
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# Create an instance of the API class
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api_instance = hotdata.UploadsApi(api_client)
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body = None # bytearray |
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streaming = True # bool | Stream upload to disk for large files (up to 20GB) (optional)
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try:
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# Upload file
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api_response = api_instance.upload_file(body, streaming=streaming)
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api_response = api_instance.upload_file(body)
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print("The response of UploadsApi->upload_file:\n")
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pprint(api_response)
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except Exception as e:
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Name | Type | Description | Notes
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------------- | ------------- | ------------- | -------------
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**body** | **bytearray**| |
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**streaming** | **bool**| Stream upload to disk for large files (up to 20GB) | [optional]
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### Return type
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