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Merge pull request #731 from dyvenia/dev
Release 0.4.18 PR
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import os | ||
from unittest import mock | ||
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import pandas as pd | ||
import pytest | ||
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from viadot.flows import SAPBWToADLS | ||
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DATA = { | ||
"[0CALMONTH].[LEVEL01].[DESCRIPTION]": ["January 2023"], | ||
"date": ["2023-06-19 11:12:43+00:00"], | ||
} | ||
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ADLS_FILE_NAME = "test_sap_bw_to_adls.parquet" | ||
ADLS_DIR_PATH = "raw/tests/" | ||
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@mock.patch( | ||
"viadot.tasks.SAPBWToDF.run", | ||
return_value=pd.DataFrame(data=DATA), | ||
) | ||
@pytest.mark.run | ||
def test_sap_bw_to_adls_flow_run(mocked_class): | ||
flow = SAPBWToADLS( | ||
"test_sap_bw_to_adls_flow_run", | ||
sapbw_credentials_key="SAP", | ||
env="BW", | ||
mdx_query=""" | ||
SELECT | ||
{ | ||
} | ||
ON COLUMNS, | ||
NON EMPTY | ||
{ | ||
{ [0CALMONTH].[202301] } | ||
} | ||
DIMENSION PROPERTIES | ||
DESCRIPTION, | ||
MEMBER_NAME | ||
ON ROWS | ||
FROM ZCSALORD1/ZBW4_ZCSALORD1_006_BOA | ||
""", | ||
mapping_dict={"[0CALMONTH].[LEVEL01].[DESCRIPTION]": "Calendar Year/Month"}, | ||
overwrite_adls=True, | ||
adls_dir_path=ADLS_DIR_PATH, | ||
adls_file_name=ADLS_FILE_NAME, | ||
) | ||
result = flow.run() | ||
assert result.is_successful() | ||
os.remove("test_sap_bw_to_adls_flow_run.parquet") | ||
os.remove("test_sap_bw_to_adls_flow_run.json") |
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import os | ||
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import pytest | ||
from prefect import Flow | ||
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from viadot.flows import SQLServerToParquet | ||
from viadot.tasks import SQLServerToDF | ||
from viadot.tasks.sql_server import SQLServerQuery | ||
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SCHEMA = "sandbox" | ||
TABLE = "test" | ||
PATH = "test.parquet" | ||
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@pytest.fixture(scope="session") | ||
def create_table(): | ||
query_task = SQLServerQuery("AZURE_SQL") | ||
query_task.run(f"DROP TABLE IF EXISTS {SCHEMA}.{TABLE}") | ||
query_task.run(f"CREATE TABLE {SCHEMA}.{TABLE} (Id INT, Name VARCHAR (10))") | ||
yield True | ||
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def test_sql_server_to_parquet_flow(create_table): | ||
flow = SQLServerToParquet( | ||
name="test_flow", | ||
sql_query=f"SELECT * FROM {SCHEMA}.{TABLE}", | ||
local_file_path=PATH, | ||
if_exists="fail", | ||
sqlserver_config_key="AZURE_SQL", | ||
timeout=3600, | ||
) | ||
flow.gen_flow() | ||
assert isinstance(flow, Flow) | ||
assert len(flow.tasks) == 3 # Number of tasks in the flow | ||
tasks = list(flow.tasks) | ||
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assert isinstance(tasks[0], SQLServerToDF) | ||
flow.run() | ||
assert os.path.isfile(PATH) == True | ||
os.remove(PATH) |
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import os | ||
from unittest import mock | ||
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import pandas as pd | ||
import pytest | ||
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from viadot.flows import VidClubToADLS | ||
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DATA = {"col1": ["aaa", "bbb", "ccc"], "col2": [11, 22, 33]} | ||
ADLS_FILE_NAME = "test_vid_club.parquet" | ||
ADLS_DIR_PATH = "raw/test/" | ||
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@mock.patch( | ||
"viadot.tasks.VidClubToDF.run", | ||
return_value=pd.DataFrame(data=DATA), | ||
) | ||
@pytest.mark.run | ||
def test_vidclub_to_adls_run_flow(mocked_class): | ||
flow = VidClubToADLS( | ||
"test_vidclub_to_adls_flow_run", | ||
source=["test"], | ||
from_date="2023-06-05", | ||
overwrite_adls=True, | ||
adls_dir_path=ADLS_DIR_PATH, | ||
adls_file_name=ADLS_FILE_NAME, | ||
) | ||
result = flow.run() | ||
assert result.is_successful() | ||
os.remove("test_vidclub_to_adls_flow_run.parquet") | ||
os.remove("test_vidclub_to_adls_flow_run.json") |
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