added validate_df task to SAP BW class

tests/integration/flows/test_sap_bw_to_adls.py

@@ -5,6 +5,7 @@
 import pytest
 
 from viadot.flows import SAPBWToADLS
+from viadot.exceptions import ValidationError
 
 DATA = {
     "[0CALMONTH].[LEVEL01].[DESCRIPTION]": ["January 2023"],
@@ -51,3 +52,74 @@ def test_sap_bw_to_adls_flow_run(mocked_class):
     assert result.is_successful()
     os.remove("test_sap_bw_to_adls_flow_run.parquet")
     os.remove("test_sap_bw_to_adls_flow_run.json")
+
+
+def test_sap_bw_validate_df_task_success(caplog):
+    flow = SAPBWToADLS(
+        "test_sap_bw_validate_df_task_success",
+        mdx_query="""
+            SELECT
+            { [Measures].[003YPR4ERQZRMSMFEQ8123HRR] } ON COLUMNS,
+            NON EMPTY
+            { 
+                { [0CALDAY].[20230102] } *
+                            { 
+                    [0COMP_CODE].[1120] 
+                    }  
+            } 
+            ON ROWS
+        FROM ZCSALBIL1/ZBW4_ZCSALBIL1_002_BOA
+        """,
+        overwrite_adls=True,
+        adls_dir_path=ADLS_DIR_PATH,
+        adls_file_name=ADLS_FILE_NAME,
+        validate_df_dict={
+            "column_size": {"[0CALDAY].[LEVEL01].[MEMBER_CAPTION]": 10},
+            "column_list_to_match": [
+                "[0CALDAY].[LEVEL01].[MEMBER_CAPTION]",
+                "[0COMP_CODE].[LEVEL01].[MEMBER_CAPTION]",
+                "[Measures].[003YPR4ERQZRMSMFEQ8123HRR]",
+            ],
+        },
+    )
+    result = flow.run()
+    assert result.is_successful()
+    os.remove("test_sap_bw_validate_df_task_success.parquet")
+    os.remove("test_sap_bw_validate_df_task_success.json")
+
+
+def test_sap_bw_validate_df_task_fail(caplog):
+    flow = SAPBWToADLS(
+        "test_sap_bw_validate_df_task_fail",
+        mdx_query="""
+            SELECT
+            { [Measures].[003YPR4ERQZRMSMFEQ8123HRR] } ON COLUMNS,
+            NON EMPTY
+            { 
+                { [0CALDAY].[20230102] } *
+                            { 
+                    [0COMP_CODE].[1120] 
+                    }  
+            } 
+            ON ROWS
+        FROM ZCSALBIL1/ZBW4_ZCSALBIL1_002_BOA
+        """,
+        overwrite_adls=True,
+        adls_dir_path=ADLS_DIR_PATH,
+        adls_file_name=ADLS_FILE_NAME,
+        validate_df_dict={
+            "column_size": {"[0CALDAY].[LEVEL01].[MEMBER_CAPTION]": 8},
+            "column_list_to_match": [
+                "[0CALDAY].[LEVEL01].[MEMBER_CAPTION]",
+                "[0COMP_CODE].[LEVEL01].[MEMBER_CAPTION]",
+            ],
+        },
+    )
+
+    try:
+        flow.run()
+    except ValidationError:
+        pass
+
+    os.remove("test_sap_bw_validate_df_task_fail.parquet")
+    os.remove("test_sap_bw_validate_df_task_fail.json")

viadot/flows/sap_bw_to_adls.py

@@ -14,6 +14,7 @@
     df_to_parquet,
     dtypes_to_json_task,
     update_dtypes_dict,
+    validate_df,
 )
 from viadot.tasks import AzureDataLakeUpload, SAPBWToDF
 
@@ -35,6 +36,7 @@ def __init__(
         overwrite_adls: bool = True,
         vault_name: str = None,
         sp_credentials_secret: str = None,
+        validate_df_dict: dict = None,
         *args: List[any],
         **kwargs: Dict[str, Any],
     ):
@@ -56,6 +58,7 @@ def __init__(
             overwrite_adls (bool, optional): Whether to overwrite the file in ADLS. Defaults to True.
             vault_name (str, optional): The name of the vault from which to obtain the secrets.. Defaults to None.
             sp_credentials_secret (str, optional): The name of the Azure Key Vault secret containing a dictionary with ACCOUNT_NAME and Service Principal credentials (TENANT_ID, CLIENT_ID, CLIENT_SECRET). Defaults to None.
+            validate_df_dict (Dict[str], optional): A dictionary with optional list of tests to verify the output dataframe. If defined, triggers the `validate_df` task from task_utils. Defaults to None.
         """
         self.sapbw_credentials = sapbw_credentials
         self.sapbw_credentials_key = sapbw_credentials_key
@@ -89,6 +92,7 @@ def __init__(
         self.overwrite_adls = overwrite_adls
         self.vault_name = vault_name
         self.sp_credentials_secret = sp_credentials_secret
+        self.validate_df_dict = validate_df_dict
 
         super().__init__(*args, name=name, **kwargs)
         self.gen_flow()
@@ -110,6 +114,12 @@ def gen_flow(self) -> Flow:
             flow=self,
         )
 
+        if self.validate_df_dict:
+            validation_task = validate_df.bind(
+                df, tests=self.validate_df_dict, flow=self
+            )
+            validation_task.set_upstream(df, flow=self)
+
         df_viadot_downloaded = add_ingestion_metadata_task.bind(df=df, flow=self)
         dtypes_dict = df_get_data_types_task.bind(df_viadot_downloaded, flow=self)
 

viadot/sources/sap_bw.py

@@ -25,6 +25,7 @@ def __init__(self, credentials: dict, *args, **kwargs):
         Raises:
             CredentialError: If provided credentials are incorrect.
         """
+        self.credentials = credentials
         if credentials is None:
             raise CredentialError("Missing credentials.")
 

viadot/tasks/sap_bw.py

@@ -1,6 +1,7 @@
 import pandas as pd
 from prefect import Task
 from prefect.tasks.secrets import PrefectSecret
+from viadot.tasks import AzureKeyVaultSecret
 from prefect.utilities import logging
 
 from viadot.exceptions import ValidationError
@@ -27,13 +28,14 @@ def __init__(
             sapbw_credentials_key (str, optional): Azure KV secret. Defaults to "SAP".
             env (str, optional): SAP environment. Defaults to "BW".
         """
-        if sapbw_credentials is None:
-            self.sapbw_credentials = credentials_loader.run(
-                credentials_secret=sapbw_credentials_key
-            ).get(env)
+        if not sapbw_credentials:
+            credentials_str = AzureKeyVaultSecret(
+                sapbw_credentials_key,
+            ).run()
+            self.sapbw_credentials = json.loads(credentials_str).get(env)
 
         else:
-            self.sapbw_credentials = sapbw_credentials
+            self.sapbw_credentials = PrefectSecret("SAP_BW").run()
 
         super().__init__(
             name="sapbw_to_df",