✨ Add SAPBW source and Prefect tasks

src/viadot/orchestration/prefect/flows/__init__.py

@@ -16,6 +16,7 @@
 from .mindful_to_adls import mindful_to_adls
 from .outlook_to_adls import outlook_to_adls
 from .salesforce_to_adls import salesforce_to_adls
+from .sap_bw_to_adls import sap_bw_to_adls
 from .sap_to_parquet import sap_to_parquet
 from .sap_to_redshift_spectrum import sap_to_redshift_spectrum
 from .sftp_to_adls import sftp_to_adls
@@ -47,6 +48,7 @@
     "mindful_to_adls",
     "outlook_to_adls",
     "salesforce_to_adls",
+    "sap_bw_to_adls",
     "sap_to_parquet",
     "sap_to_redshift_spectrum",
     "sftp_to_adls",

src/viadot/orchestration/prefect/flows/sap_bw_to_adls.py

@@ -0,0 +1,60 @@
+"""Task to download data from SAP BW API into a Pandas DataFrame."""
+
+from typing import Any
+
+from prefect import flow
+from prefect.task_runners import ConcurrentTaskRunner
+
+from viadot.orchestration.prefect.tasks import df_to_adls, sap_bw_to_df
+
+
+@flow(
+    name="SAP BW extraction to ADLS",
+    description="Extract data from SAP BW and load it into Azure Data Lake Storage.",
+    retries=1,
+    retry_delay_seconds=60,
+    task_runner=ConcurrentTaskRunner,
+)
+def sap_bw_to_adls(
+    config_key: str | None = None,
+    azure_key_vault_secret: str | None = None,
+    mdx_query: str | None = None,
+    mapping_dict: dict[str, Any] | None = None,
+    adls_azure_key_vault_secret: str | None = None,
+    adls_config_key: str | None = None,
+    adls_path: str | None = None,
+    adls_path_overwrite: bool = False,
+) -> None:
+    """Flow for downloading data from SAP BW API to Azure Data Lake.
+
+    Args:
+        config_key (Optional[str], optional): The key in the viadot config holding
+            relevant credentials. Defaults to None.
+        azure_key_vault_secret (Optional[str], optional): The name of the Azure Key
+            Vault secret where credentials are stored. Defaults to None.
+        mdx_query (str, optional): The MDX query to be passed to connection.
+        mapping_dict (dict[str, Any], optional): Dictionary with original and new
+            column names. Defaults to None.
+        adls_azure_key_vault_secret (str, optional): The name of the Azure Key.
+            Defaults to None.
+        adls_config_key (str, optional): The key in the viadot config holding relevant
+            credentials. Defaults to None.
+        adls_path (str, optional): Azure Data Lake destination folder/catalog path.
+            Defaults to None.
+        adls_path_overwrite (bool, optional): Whether to overwrite the file in ADLS.
+            Defaults to False.
+    """
+    data_frame = sap_bw_to_df(
+        config_key=config_key,
+        azure_key_vault_secret=azure_key_vault_secret,
+        mdx_query=mdx_query,
+        mapping_dict=mapping_dict,
+    )
+
+    return df_to_adls(
+        df=data_frame,
+        path=adls_path,
+        credentials_secret=adls_azure_key_vault_secret,
+        config_key=adls_config_key,
+        overwrite=adls_path_overwrite,
+    )

src/viadot/orchestration/prefect/tasks/__init__.py

@@ -20,6 +20,7 @@
 from .redshift_spectrum import df_to_redshift_spectrum
 from .s3 import s3_upload_file
 from .salesforce import salesforce_to_df
+from .sap_bw import sap_bw_to_df
 from .sap_rfc import sap_rfc_to_df
 from .sftp import sftp_list, sftp_to_df
 from .sharepoint import sharepoint_download_file, sharepoint_to_df
@@ -32,12 +33,12 @@
     "bcp",
     "clone_repo",
     "cloud_for_customers_to_df",
-    "customer_gauge_to_df",
-    "df_to_databricks",
     "create_sql_server_table",
+    "customer_gauge_to_df",
     "dbt_task",
     "df_to_adls",
     "df_to_databricks",
+    "df_to_databricks",
     "df_to_minio",
     "df_to_redshift_spectrum",
     "duckdb_query",
@@ -51,6 +52,7 @@
     "outlook_to_df",
     "s3_upload_file",
     "salesforce_to_df",
+    "sap_bw_to_df",
     "sap_rfc_to_df",
     "sftp_list",
     "sftp_to_df",

src/viadot/orchestration/prefect/tasks/sap_bw.py

@@ -0,0 +1,54 @@
+"""Task to download data from SAP BW into a Pandas DataFrame."""
+
+import contextlib
+from typing import Any
+
+import pandas as pd
+from prefect import task
+
+from viadot.orchestration.prefect.exceptions import MissingSourceCredentialsError
+from viadot.orchestration.prefect.utils import get_credentials
+
+
+with contextlib.suppress(ImportError):
+    from viadot.sources import SAPBW
+
+
+@task(retries=3, log_prints=True, retry_delay_seconds=10, timeout_seconds=60 * 60)
+def sap_bw_to_df(
+    mdx_query: str,
+    config_key: str | None = None,
+    azure_key_vault_secret: str | None = None,
+    mapping_dict: dict[str, Any] | None = None,
+) -> pd.DataFrame:
+    """Task to download data from SAP BW to DataFrame.
+
+    Args:
+        mdx_query (str, required): The MDX query to be passed to connection.
+        config_key (Optional[str], optional): The key in the viadot config holding
+            relevant credentials. Defaults to None.
+        azure_key_vault_secret (Optional[str], optional): The name of the Azure Key
+            Vault secret where credentials are stored. Defaults to None.
+        mapping_dict (dict[str, Any], optional): Dictionary with original and new
+            column names. Defaults to None.
+
+    Raises:
+        MissingSourceCredentialsError: If none credentials have been provided.
+
+
+    Returns:
+        pd.DataFrame: The response data as a Pandas Data Frame.
+    """
+    if not (azure_key_vault_secret or config_key):
+        raise MissingSourceCredentialsError
+
+    if not config_key:
+        credentials = get_credentials(azure_key_vault_secret)
+
+    sap_bw = SAPBW(
+        credentials=credentials,
+        config_key=config_key,
+    )
+    sap_bw.api_connection(mdx_query=mdx_query)
+
+    return sap_bw.to_df(mapping_dict=mapping_dict)

src/viadot/sources/__init__.py

@@ -30,10 +30,10 @@
     "Hubspot",
     "Mediatool",
     "Mindful",
-    "Sftp",
     "Outlook",
     "SQLServer",
     "Salesforce",
+    "Sftp",
     "Sharepoint",
     "Supermetrics",
     "SupermetricsCredentials",  # pragma: allowlist-secret
@@ -61,9 +61,11 @@
 
     __all__.extend(["MinIO"])
 if find_spec("pyrfc"):
+    from viadot.sources.sap_bw import SAPBW  # noqa: F401
     from viadot.sources.sap_rfc import SAPRFC, SAPRFCV2  # noqa: F401
 
-    __all__.extend(["SAPRFC", "SAPRFCV2"])
+    __all__.extend(["SAPBW", "SAPRFC", "SAPRFCV2"])
+
 if find_spec("pyspark"):
     from viadot.sources.databricks import Databricks  # noqa: F401