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test_tonne_miles_breakdown_real.py
90 lines (68 loc) · 2.39 KB
/
test_tonne_miles_breakdown_real.py
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from datetime import datetime
from docs.utils import to_markdown
from tests.testcases import TestCaseUsingRealAPI
from vortexasdk import TonneMilesBreakdown
from docs.utils import to_markdown
class TestTonneMilesBreakdownReal(TestCaseUsingRealAPI):
def test_search_returns_one_day(self):
date = datetime(2019, 11, 10)
result = TonneMilesBreakdown().search(
filter_activity="loading_state",
filter_time_min=date,
filter_time_max=date,
breakdown_frequency="day",
)
assert len(result) == 1
def test_search_returns_all_days(self):
start = datetime(2019, 11, 1)
end = datetime(2019, 11, 10)
result = TonneMilesBreakdown().search(
filter_activity="loading_state",
filter_time_min=start,
filter_time_max=end,
breakdown_frequency="day",
)
n_days = (end - start).days + 1
assert n_days == len(result)
def test_search_returns_default_freq(self):
start = datetime(2019, 1, 1)
end = datetime(2019, 11, 10)
result = TonneMilesBreakdown().search(
filter_activity="loading_state",
filter_time_min=start,
filter_time_max=end,
)
n_months = (end.year - start.year) * 12 + end.month - start.month + 1
assert n_months == len(result)
def test_to_df(self):
start = datetime(2019, 11, 1)
end = datetime(2019, 11, 10)
df = (
TonneMilesBreakdown()
.search(
filter_activity="loading_state",
filter_time_min=start,
filter_time_max=end,
breakdown_frequency="day",
)
.to_df()
)
print(to_markdown(df.head()))
n_days = (end - start).days + 1
assert len(df) == n_days
assert list(df.columns) == ["key", "value", "count"]
def test_to_list(self):
start = datetime(2019, 11, 1)
end = datetime(2019, 11, 10)
time_series_list = (
TonneMilesBreakdown()
.search(
filter_activity="loading_state",
filter_time_min=start,
filter_time_max=end,
breakdown_frequency="day",
)
.to_list()
)
n_days = (end - start).days + 1
assert len(time_series_list) == n_days