def test_to_df(self):
date = datetime(2019, 11, 10)
df = (OriginBreakdown().search(filter_activity="any_activity",
breakdown_geography="country",
breakdown_unit="b",
filter_time_min=date,
filter_time_max=date).to_df())
assert len(df) == 5
assert list(df.columns) == ["key", "label", "value", "count"]
def test_to_list(self):
date = datetime(2019, 11, 10)
time_series_list = (OriginBreakdown().search(
filter_activity="any_activity",
breakdown_geography="country",
breakdown_unit="b",
filter_time_min=date,
filter_time_max=date,
).to_list())
assert len(time_series_list) == 5
def test_search_returns_one_day(self):
date = datetime(2019, 11, 10)
result = OriginBreakdown().search(
filter_activity="loading_state",
breakdown_geography="country",
breakdown_unit="b",
filter_time_min=date,
filter_time_max=date,
)
assert len(result["data"]) == 5
def test_search_returns_excluded_params(self):
date = datetime(2019, 11, 10)
rotterdam = "68faf65af1345067f11dc6723b8da32f00e304a6f33c000118fccd81947deb4e"
result = OriginBreakdown().search(filter_activity="any_activity",
breakdown_geography="country",
breakdown_unit="b",
filter_time_min=date,
filter_time_max=date,
exclude_origins=rotterdam)
assert len(result["data"]) == 5
def test_search_returns_multiple_breakdowns(self):
start = datetime(2019, 11, 1)
end = datetime(2019, 11, 10)
result = OriginBreakdown().search(filter_activity="loading_state",
breakdown_geography="country",
breakdown_unit="b",
filter_time_min=start,
filter_time_max=end,
breakdown_size=100)
assert len(result["data"]) == 100
def test_with_params(self):
start = datetime(2019, 11, 10)
end = datetime(2019, 11, 15)
df = (OriginBreakdown().search(
filter_activity="loading_end",
breakdown_geography="terminal",
breakdown_unit="t",
breakdown_size=5,
filter_time_min=start,
filter_time_max=end,
).to_df())
assert len(df) == 5
assert list(df.columns) == ["key", "label", "value", "count"]