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chore: regenerate client from updated OpenAPI spec #54

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21 changes: 13 additions & 8 deletions .openapi-generator/FILES
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Expand Up @@ -38,6 +38,11 @@ docs/CreateSecretResponse.md
docs/CreateWorkspaceRequest.md
docs/CreateWorkspaceResponse.md
docs/DatasetSource.md
docs/DatasetSourceOneOf.md
docs/DatasetSourceOneOf1.md
docs/DatasetSourceOneOf2.md
docs/DatasetSourceOneOf3.md
docs/DatasetSourceOneOf4.md
docs/DatasetSummary.md
docs/DatasetVersionSummary.md
docs/DatasetsApi.md
Expand Down Expand Up @@ -191,6 +196,11 @@ hotdata/models/create_secret_response.py
hotdata/models/create_workspace_request.py
hotdata/models/create_workspace_response.py
hotdata/models/dataset_source.py
hotdata/models/dataset_source_one_of.py
hotdata/models/dataset_source_one_of1.py
hotdata/models/dataset_source_one_of2.py
hotdata/models/dataset_source_one_of3.py
hotdata/models/dataset_source_one_of4.py
hotdata/models/dataset_summary.py
hotdata/models/dataset_version_summary.py
hotdata/models/delete_sandbox_response.py
Expand Down Expand Up @@ -275,14 +285,9 @@ hotdata/rest.py
pyproject.toml
requirements.txt
setup.cfg
setup.py
test-requirements.txt
test/__init__.py
test/test_create_sandbox_request.py
test/test_delete_sandbox_response.py
test/test_list_sandboxes_response.py
test/test_sandbox.py
test/test_sandbox_response.py
test/test_sandboxes_api.py
test/test_update_sandbox_request.py
test/test_dataset_source_one_of2.py
test/test_dataset_source_one_of3.py
test/test_dataset_source_one_of4.py
tox.ini
2 changes: 1 addition & 1 deletion docs/CreateIndexRequest.md
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Expand Up @@ -9,7 +9,7 @@ Name | Type | Description | Notes
**var_async** | **bool** | When true, create the index as a background job and return a job ID for polling. | [optional]
**columns** | **List[str]** | Columns to index. Required for all index types. |
**description** | **str** | User-facing description of the embedding (e.g., \"product descriptions\"). | [optional]
**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's default dimensions are used. | [optional]
**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's default dimensions are used | [optional]
**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 (`{column}_embedding` by default). | [optional]
**index_name** | **str** | |
**index_type** | **str** | Index type: \"sorted\" (default), \"bm25\", or \"vector\" | [optional]
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3 changes: 2 additions & 1 deletion docs/DatasetSource.md
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# DatasetSource

Dataset source specification
Dataset source specification. Internally tagged on `type`, e.g. `{\"type\": \"upload\", \"upload_id\": \"...\"}`. Discriminator values: `upload`, `saved_query`, `sql_query`, `url`, `inline`.

## Properties

Expand All @@ -9,6 +9,7 @@ Name | Type | Description | Notes
**columns** | **Dict[str, str]** | Optional explicit column definitions. Keys are column names, values are type specs. | [optional]
**format** | **str** | | [optional]
**upload_id** | **str** | |
**type** | **str** | |
**saved_query_id** | **str** | |
**version** | **int** | | [optional]
**description** | **str** | Optional description for the auto-created saved query. | [optional]
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6 changes: 3 additions & 3 deletions docs/DatasetSourceOneOf.md
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# DatasetSourceOneOf

Create from a previously uploaded file

## Properties

Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**columns** | [**Dict[str, ColumnDefinition]**](ColumnDefinition.md) | Optional explicit column definitions. Keys are column names, values are type specs. When provided, the schema is built from these definitions instead of being inferred. | [optional]
**format** | **object** | | [optional]
**columns** | **Dict[str, str]** | Optional explicit column definitions. Keys are column names, values are type specs. When provided, the schema is built from these definitions instead of being inferred. | [optional]
**format** | **str** | | [optional]
**upload_id** | **str** | |
**type** | **str** | |

## Example

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5 changes: 3 additions & 2 deletions docs/DatasetSourceOneOf1.md
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# DatasetSourceOneOf1

Create from inline data (small payloads)

## Properties

Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**inline** | [**InlineData**](InlineData.md) | |
**saved_query_id** | **str** | |
**version** | **int** | | [optional]
**type** | **str** | |

## Example

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32 changes: 32 additions & 0 deletions docs/DatasetSourceOneOf2.md
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# DatasetSourceOneOf2


## Properties

Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**description** | **str** | Optional description for the auto-created saved query. | [optional]
**name** | **str** | Optional name for the auto-created saved query. Defaults to the dataset label. | [optional]
**sql** | **str** | |
**type** | **str** | |

## Example

```python
from hotdata.models.dataset_source_one_of2 import DatasetSourceOneOf2

# TODO update the JSON string below
json = "{}"
# create an instance of DatasetSourceOneOf2 from a JSON string
dataset_source_one_of2_instance = DatasetSourceOneOf2.from_json(json)
# print the JSON string representation of the object
print(DatasetSourceOneOf2.to_json())

# convert the object into a dict
dataset_source_one_of2_dict = dataset_source_one_of2_instance.to_dict()
# create an instance of DatasetSourceOneOf2 from a dict
dataset_source_one_of2_from_dict = DatasetSourceOneOf2.from_dict(dataset_source_one_of2_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)


32 changes: 32 additions & 0 deletions docs/DatasetSourceOneOf3.md
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# DatasetSourceOneOf3


## Properties

Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**columns** | **Dict[str, str]** | Optional explicit column definitions. Keys are column names, values are type specs. | [optional]
**format** | **str** | | [optional]
**url** | **str** | |
**type** | **str** | |

## Example

```python
from hotdata.models.dataset_source_one_of3 import DatasetSourceOneOf3

# TODO update the JSON string below
json = "{}"
# create an instance of DatasetSourceOneOf3 from a JSON string
dataset_source_one_of3_instance = DatasetSourceOneOf3.from_json(json)
# print the JSON string representation of the object
print(DatasetSourceOneOf3.to_json())

# convert the object into a dict
dataset_source_one_of3_dict = dataset_source_one_of3_instance.to_dict()
# create an instance of DatasetSourceOneOf3 from a dict
dataset_source_one_of3_from_dict = DatasetSourceOneOf3.from_dict(dataset_source_one_of3_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)


30 changes: 30 additions & 0 deletions docs/DatasetSourceOneOf4.md
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# DatasetSourceOneOf4


## Properties

Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**inline** | [**InlineData**](InlineData.md) | |
**type** | **str** | |

## Example

```python
from hotdata.models.dataset_source_one_of4 import DatasetSourceOneOf4

# TODO update the JSON string below
json = "{}"
# create an instance of DatasetSourceOneOf4 from a JSON string
dataset_source_one_of4_instance = DatasetSourceOneOf4.from_json(json)
# print the JSON string representation of the object
print(DatasetSourceOneOf4.to_json())

# convert the object into a dict
dataset_source_one_of4_dict = dataset_source_one_of4_instance.to_dict()
# create an instance of DatasetSourceOneOf4 from a dict
dataset_source_one_of4_from_dict = DatasetSourceOneOf4.from_dict(dataset_source_one_of4_dict)
```
[[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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