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NAS-2947 redirect fdw tests to localhost AIO #54

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Merged
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Jan 18, 2022
Merged

NAS-2947 redirect fdw tests to localhost AIO #54

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a432b0f
NAS-2947 redirect fdw tests to localhost AIO
pcerny Jan 17, 2022
7c77dca
NAS-2947 update fdw vcrpy cassette files to AIO
pcerny Jan 17, 2022
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2 changes: 1 addition & 1 deletion gooddata-fdw/test-requirements.txt
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
pytest~=6.2.4
pytest-cov~=2.12.1
vcrpy~=4.1.1
python-dotenv~=0.19.0
pyyaml
51 changes: 1 addition & 50 deletions gooddata-fdw/tests/__init__.py
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@@ -1,52 +1,3 @@
# (C) 2021 GoodData Corporation
from dotenv import dotenv_values, find_dotenv

TEST_HOST = "https://insurance-dev.anywhere.gooddata.com"
TEST_WORKSPACE = "insurance-demo"


def _load_test_env():
try:
test_env = find_dotenv(".env.test", raise_error_if_not_found=True)

return dotenv_values(test_env)
except IOError:
return dict()


def get_test_token():
config = _load_test_env()

if "TEST_TOKEN" not in config:
# returning bogus token so that tests that use vcr recordings have something to use
return "test-token-undefined"

return config["TEST_TOKEN"]


TEST_DATA_REGIONS = [
"Aargau",
"Basel-Landschaft",
"Basel-Stadt",
"Bern",
"Fribourg",
"Geneva",
"Glarus",
"Graubünden",
"Jura",
"Lucerne",
"Neuchâtel",
"Nidwalden",
"Obwalden",
"Schaffhausen",
"Schwyz",
"Solothurn",
"St. Gallen",
"Thurgau",
"Ticino",
"Uri",
"Valais",
"Vaud",
"Zug",
"Zürich",
]
VCR_MATCH_ON = ("method", "scheme", "host", "port", "path", "query", "body")
133 changes: 90 additions & 43 deletions gooddata-fdw/tests/conftest.py
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# (C) 2021 GoodData Corporation
from collections import OrderedDict
from pathlib import Path

import pytest
import yaml

from gooddata_fdw.environment import ColumnDefinition
from tests import TEST_HOST, TEST_WORKSPACE, get_test_token


@pytest.fixture
def import_srv_options():
return dict(host=TEST_HOST, token=get_test_token())
def pytest_addoption(parser):
default_config_path = Path(__file__).parent / "gd_test_config.yaml"
parser.addoption(
"--gd-test-config",
action="store",
default=str(default_config_path),
help="Absolut path to an application charts",
)


@pytest.fixture(scope="session")
def test_config(request):
config_path = Path(request.config.getoption("--gd-test-config"))
with open(config_path, "rt") as f:
config = yaml.safe_load(f)

return config


@pytest.fixture
def fdw_options_for_insight():
def fdw_options_for_insight(test_config):
return dict(
host=TEST_HOST,
token=get_test_token(),
workspace=TEST_WORKSPACE,
insight="f7fef745-7269-454e-982e-e1d7d3eed81f",
host=test_config["host"],
token=test_config["token"],
workspace=test_config["workspace"],
insight="revenue_and_quantity_by_product_and_category",
)


@pytest.fixture
def test_insight_columns():
columns = OrderedDict()
columns["car_car_make"] = ColumnDefinition(
column_name="car_car_make",
# attribute
columns["products_category"] = ColumnDefinition(
column_name="products_category",
type_name="VARCHAR(255)",
options=dict(local_id="bb6895568384411a909514dd5b95011f"),
options=dict(local_id="06bc6b3b9949466494e4f594c11f1bff"),
)
columns["customer_customer_age_group"] = ColumnDefinition(
column_name="customer_customer_age_group",
# attribute
columns["products_product_name"] = ColumnDefinition(
column_name="products_product_name",
type_name="VARCHAR(255)",
options=dict(local_id="b08cd137253d405f803601bf12fa89cb"),
options=dict(local_id="192668bfb6a74e9ab7b5d1ce7cb68ea3"),
)
# fact
columns["order_lines_quantity"] = ColumnDefinition(
column_name="order_lines_quantity",
type_name="DECIMAL(18,2)",
options=dict(local_id="29486504dd0e4a36a18b0b2f792d3a46"),
)
# fact
columns["order_lines_price"] = ColumnDefinition(
column_name="order_lines_price",
type_name="DECIMAL(18,2)",
options=dict(local_id="aa6391acccf1452f8011201aef9af492"),
)
columns["premium_revenue"] = ColumnDefinition(
column_name="premium_revenue",
type_name="DECIMAL(15,5)",
options=dict(local_id="0b3a3a4a6e2547259725e18e64033620"),
# metric
columns["percent_revenue_in_category"] = ColumnDefinition(
column_name="percent_revenue_in_category",
type_name="DECIMAL(18,1)",
options=dict(local_id="2cd39539d8da46c9883e63caa3ba7cc0"),
)
# metric
columns["revenue"] = ColumnDefinition(
column_name="revenue",
type_name="DECIMAL(18,2)",
options=dict(local_id="9a0f08331c094c7facf2a0b4f418de0a"),
)

return columns


@pytest.fixture
def fdw_options_for_compute_table():
def fdw_options_for_compute_table(test_config):
return dict(
host=TEST_HOST,
token=get_test_token(),
workspace=TEST_WORKSPACE,
host=test_config["host"],
token=test_config["token"],
workspace=test_config["workspace"],
compute="value-does-not-matter",
)


@pytest.fixture
def test_compute_table_columns():
columns = OrderedDict()
columns["coverage_lifetime"] = ColumnDefinition(
column_name="coverage_lifetime",
type_name="DECIMAL(15,5)",
options=dict(id="fact/coverage.coverage_lifetime"),
)
columns["claim_amount"] = ColumnDefinition(
column_name="claim_amount",
type_name="DECIMAL(15,5)",
options=dict(id="metric/claim-amount"),
)
columns["car_make"] = ColumnDefinition(
column_name="car_make",
# attribute
columns["products_category"] = ColumnDefinition(
column_name="products_category",
type_name="VARCHAR(255)",
options=dict(id="label/car.car_make"),
options=dict(id="label/products.category"),
)
columns["car_model"] = ColumnDefinition(
column_name="car_model",
# attribute
columns["products_product_name"] = ColumnDefinition(
column_name="products_product_name",
type_name="VARCHAR(255)",
options=dict(id="label/car.car_model"),
options=dict(id="label/products.product_name"),
)
# fact
columns["order_lines_quantity"] = ColumnDefinition(
column_name="order_lines_quantity",
type_name="DECIMAL(18,2)",
options=dict(id="fact/order_lines.quantity"),
)
# fact
columns["order_lines_price"] = ColumnDefinition(
column_name="order_lines_price",
type_name="DECIMAL(18,2)",
options=dict(id="fact/order_lines.price"),
)
# metric
columns["percent_revenue_in_category"] = ColumnDefinition(
column_name="percent_revenue_in_category",
type_name="DECIMAL(18,1)",
options=dict(id="metric/percent_revenue_in_category"),
)
columns["datetime"] = ColumnDefinition(
column_name="datetime",
type_name="DATE",
options=dict(id="label/datetime.day"),
# metric
columns["revenue"] = ColumnDefinition(
column_name="revenue",
type_name="DECIMAL(18,2)",
options=dict(id="metric/revenue"),
)

return columns
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