> For the complete documentation index, see [llms.txt](https://docs.algenta.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.algenta.ai/sdks/python/connectors-and-data.md). # Connectors & datasets These methods manage data connectors and the datasets you onboard from them. They are available on both `AlgentaClient` and `AsyncAlgentaClient` (await the async calls). Connector metadata is passed as typed keyword arguments; dataset onboarding takes a request dict. For a full walkthrough see [Connect a data source](/guides/connect-data.md) and the per-provider pages under [Connectors](/connectors/overview.md). ## Method reference | Method | Purpose | | ---------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------- | | `create_connector(*, name, connector_type, config=None, description=None, visibility=None)` | Create a data connector (`ConnectorInfo`). Posts to `/v1/connectors`. | | `list_connectors(*, page=1, limit=200)` | List connectors (`ConnectorListResult`). Reads `/v1/connectors`. | | `iter_connectors(*, page=1, limit=200, max_items=None)` | Iterate connectors across pages, capped by `max_items`. | | `get_connector(connector_id)` | Fetch one connector (`ConnectorInfo`). Reads `/v1/connectors/{connector_id}`. | | `update_connector(connector_id, *, name=None, description=None, visibility=None, config=None)` | Update a connector's metadata or config (`ConnectorInfo`). Sends `PATCH /v1/connectors/{connector_id}`. | | `delete_connector(connector_id)` | Delete a connector. Sends `DELETE /v1/connectors/{connector_id}`. | | `test_connector(connector_id)` | Run a real connection test on a saved connector (`ConnectorTestInfo`). Posts to `/v1/connectors/{connector_id}/test`. | | `preview_test_connector(*, connector_type, config=None)` | Test a connector config before saving it (`ConnectorTestInfo`). Posts to `/v1/connectors/test`. | | `browse_connector(connector_id)` | List the tables a live connector exposes (`ConnectorBrowseResult`). Reads `/v1/connectors/{connector_id}/browse`. | | `preview_browse_connector(*, connector_type, config=None)` | Browse a connector config before saving it (`ConnectorBrowseResult`). Posts to `/v1/connectors/browse`. | | `connect_data(request=None, **kwargs)` | Onboard a connector selection (table or query) as a queryable dataset (`DatasetConnectResult`). Posts to `/v1/data/connect`. | | `list_datasets(*, page=1, limit=200, search=None, status=None, source_name=None, compact=False)` | List datasets (`DatasetListResult`). Reads `/v1/data`. | | `iter_datasets(*, page=1, limit=200, max_items=None, search=None, status=None, source_name=None, compact=False)` | Iterate datasets across pages, capped by `max_items`. | | `get_dataset(dataset_id)` | Fetch dataset detail (`DatasetDetailResult`). Reads `/v1/data/{dataset_id}`. | | `get_dataset_summary(dataset_id)` | Fetch a dataset's profiled schema summary (`DatasetSummaryResult`). Reads `/v1/data/{dataset_id}/summary`. | | `refresh_dataset(dataset_id)` | Re-ingest a dataset from its source (`DatasetConnectResult`). Posts to `/v1/data/{dataset_id}/refresh`. | | `delete_dataset(dataset_id)` | Delete a dataset (`DatasetDeleteResult`). Sends `DELETE /v1/data/{dataset_id}`. | ## Example: create a connector, test it, and browse tables ```python import os from decision_engine import AlgentaClient client = AlgentaClient(api_key=os.environ["ALGENTA_API_KEY"]) connector = client.create_connector( name="Analytics Warehouse", connector_type="snowflake", config={ "account": "xy12345.eu-central-1", "user": "ANALYTICS", "password": os.environ["SNOWFLAKE_PASSWORD"], "warehouse": "COMPUTE_WH", "database": "SALES", "schema": "PUBLIC", }, ) test = client.test_connector(connector.id) assert test.success, test.message browse = client.browse_connector(connector.id) print(browse.total, "tables") ``` ## Example: onboard a dataset and read its summary ```python import os from decision_engine import AlgentaClient client = AlgentaClient(api_key=os.environ["ALGENTA_API_KEY"]) result = client.connect_data( connection_type="database", provider="snowflake", dataset_name="sales_orders", connection_id="$CONNECTOR_ID", selection={"table": "PUBLIC.ORDERS"}, visibility="private", ) print(result.status, result.dataset_id) summary = client.get_dataset_summary(result.dataset_id) print(summary.row_count) # Browse the full catalog. datasets = client.list_datasets(search="orders", compact=True) for dataset in datasets.datasets: print(dataset.dataset_id, dataset.name) ``` ## Related pages {% content-ref url="/pages/oWVTrgfD6zfzaggU9IRO" %} [Connect a data source](/guides/connect-data.md) {% endcontent-ref %} {% content-ref url="/pages/nYTegW8BuYYDLDwjOQep" %} [Snowflake](/connectors/snowflake.md) {% endcontent-ref %} {% content-ref url="/pages/l0mqGrhl5ic9OfaGy52Q" %} [Simulations & queries](/sdks/python/simulations-and-queries.md) {% endcontent-ref %} --- # Agent Instructions This documentation is published with GitBook. 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