reverted test_aselite_to_adls

tests/integration/flows/test_aselite_to_adls.py

@@ -8,7 +8,7 @@
 from prefect.tasks.secrets import PrefectSecret
 
 from viadot.flows.aselite_to_adls import ASELiteToADLS
-from viadot.task_utils import df_converts_bytes_to_int, df_to_csv, validate_df
+from viadot.task_utils import df_converts_bytes_to_int, df_to_csv
 from viadot.tasks import AzureDataLakeUpload
 from viadot.tasks.aselite import ASELiteToDF
 
@@ -62,56 +62,3 @@ def test_aselite_to_adls():
     assert MAIN_DF.shape == (10, 17)
 
     os.remove(TMP_FILE_NAME)
-
-
-def test_aselite_to_adls_validate_success():
-    credentials_secret = PrefectSecret("aselite").run()
-    vault_name = PrefectSecret("AZURE_DEFAULT_KEYVAULT").run()
-
-    query_designer = """SELECT TOP 10 [ID]
-        ,[SpracheText]
-        ,[SpracheKat]
-        ,[SpracheMM]
-        ,[KatSprache]
-        ,[KatBasisSprache]
-        ,[CodePage]
-        ,[Font]
-        ,[Neu]
-        ,[Upd]
-        ,[UpdL]
-        ,[LosKZ]
-        ,[AstNr]
-        ,[KomKz]
-        ,[RKZ]
-        ,[ParentLanguageNo]
-        ,[UPD_FIELD]
-    FROM [UCRMDEV].[dbo].[CRM_00]"""
-
-    validate_df_dict = {
-        "column_size": {"ParentLanguageNo": 1},
-        "column_unique_values": ["ID"],
-        "dataset_row_count": {"min": 0, "max": 10},
-        "column_match_regex": {"SpracheText", r"TE_.*"},
-    }
-
-    flow = ASELiteToADLS(
-        "Test flow",
-        query=query_designer,
-        sqldb_credentials_secret=credentials_secret,
-        vault_name=vault_name,
-        file_path=TMP_FILE_NAME,
-        validate_df_dict=validate_df_dict,
-        to_path="raw/supermetrics/mp/result_df_flow_at_des_m.csv",
-        run_config=None,
-    )
-
-    result = flow.run()
-    assert result.is_successful()
-
-    MAIN_DF = pd.read_csv(TMP_FILE_NAME, delimiter="\t")
-
-    assert isinstance(MAIN_DF, pd.DataFrame) == True
-
-    assert MAIN_DF.shape == (10, 17)
-
-    os.remove(TMP_FILE_NAME)