Add azure transport params for get_record_handler_data

src/gretel_trainer/relational/sdk_extras.py

@@ -1,4 +1,5 @@
 import logging
+import os
 import shutil
 from contextlib import suppress
 from pathlib import Path
@@ -14,6 +15,15 @@
 
 from gretel_trainer.relational.core import MultiTableException
 
+try:
+    from azure.identity import DefaultAzureCredential
+except ImportError:  # pragma: no cover
+    DefaultAzureCredential = None
+try:
+    from azure.storage.blob import BlobServiceClient
+except ImportError:  # pragma: no cover
+    BlobServiceClient = None
+
 logger = logging.getLogger(__name__)
 
 MAX_PROJECT_ARTIFACTS = 50
@@ -79,8 +89,30 @@ def sqs_score_from_full_report(self, report: dict[str, Any]) -> Optional[int]:
                 if field_dict["field"] == "synthetic_data_quality_score":
                     return field_dict["value"]
 
+    def _get_azure_blob_srv_client(self) -> Optional[BlobServiceClient]:
+        if (storage_account := os.getenv("OAUTH_STORAGE_ACCOUNT_NAME")) is not None:
+            oauth_url = "https://{}.blob.core.windows.net".format(storage_account)
+            return BlobServiceClient(
+                account_url=oauth_url, credential=DefaultAzureCredential()
+            )
+
+        if (connect_str := os.getenv("AZURE_STORAGE_CONNECTION_STRING")) is not None:
+            return BlobServiceClient.from_connection_string(connect_str)
+
+    def _get_transport_params(self, link: str) -> dict:
+        """Returns a set of transport params that are suitable for passing
+        into calls to ``smart_open.open``.
+        """
+        client = None
+        if link.startswith("azure"):
+            client = self._get_azure_blob_srv_client()
+        return {"client": client} if client else {}
+
     def get_record_handler_data(self, record_handler: RecordHandler) -> pd.DataFrame:
-        with smart_open.open(record_handler.get_artifact_link("data"), "rb") as data:
+        link = record_handler.get_artifact_link("data")
+        with smart_open.open(
+            link, "rb", transport_params=self._get_transport_params(link)
+        ) as data:
             return pd.read_csv(data)
 
     def start_job_if_possible(