def test_records_all(self, jhu_data, population_data, country,
oxcgrt_data):
dhl = DataHandler(country=country, province=None)
dhl.register(jhu_data=jhu_data, population_data=population_data)
dhl.records_all()
dhl.register(extras=[oxcgrt_data])
dhl.records_all()
def test_records(self, jhu_data, population_data, country, japan_data,
oxcgrt_data, pcr_data, vaccine_data, main, extras, past,
future):
dhl = DataHandler(country=country, province=None)
# Combination of arguments
if (not main and not extras) or (not past and not future):
with pytest.raises(ValueError):
dhl.records(main=main, extras=extras, past=past, future=future)
return
# Register main datasets
if main:
with pytest.raises(NotRegisteredMainError):
dhl.records(main=main, extras=extras, past=past, future=future)
dhl.register(jhu_data=jhu_data, population_data=population_data)
dhl.timepoints(first_date="01Apr2020",
last_date="01Sep2020",
today="01Jun2020")
# Register extra datasets
if extras:
with pytest.raises(NotRegisteredExtraError):
dhl.records(main=main, extras=extras, past=past, future=future)
dhl.register(extras=[japan_data, oxcgrt_data, pcr_data, vaccine_data])
# Get records
df = dhl.records(main=main, extras=extras, past=past, future=future)
# Check the start/end date of the records
if past and future:
sta, end = "01Apr2020", "01Sep2020"
elif past:
sta, end = "01Apr2020", "01Jun2020"
else:
sta, end = "02Jun2020", "01Sep2020"
assert df[Term.DATE].min().strftime(Term.DATE_FORMAT) == sta
assert df[Term.DATE].max().strftime(Term.DATE_FORMAT) == end
def test_records_main(self, jhu_data, country):
dhl = DataHandler(country=country, province=None)
with pytest.raises(NotRegisteredMainError):
dhl.records_main()
dhl.register(jhu_data=jhu_data)
main_df = dhl.records_main()
assert set(main_df.columns) == set([Term.DATE, Term.C, Term.CI, Term.F, Term.R, Term.S])
def test_population(self, jhu_data, population_data, country):
dhl = DataHandler(country=country, province=None)
assert not dhl.main_satisfied
with pytest.raises(NotRegisteredMainError):
assert dhl.population == population_data.value(country=country)
dhl.register(jhu_data=jhu_data, population_data=population_data)
assert dhl.main_satisfied
assert dhl.population == population_data.value(country=country)
def test_estimate_delay(self, jhu_data, population_data, country,
oxcgrt_data, indicator, target):
dhl = DataHandler(country=country, province=None)
dhl.register(jhu_data=jhu_data,
population_data=population_data,
extras=[oxcgrt_data])
df = dhl.estimate_delay(indicator=indicator, target=target)
assert isinstance(df, pd.DataFrame)
def test_population(self, jhu_data, population_data, country):
warnings.filterwarnings("ignore", category=DeprecationWarning)
dhl = DataHandler(country=country, province=None)
assert not dhl.main_satisfied
with pytest.raises(NotRegisteredMainError):
assert dhl.population == population_data.value(country=country)
dhl.register(jhu_data=jhu_data, population_data=population_data)
assert dhl.main_satisfied
assert dhl.population == population_data.value(country=country)
def test_records_extras(self, jhu_data, country, japan_data, oxcgrt_data, pcr_data, vaccine_data):
dhl = DataHandler(country=country, province=None)
with pytest.raises(NotRegisteredMainError):
dhl.records_extras()
dhl.register(jhu_data=jhu_data)
dhl.timepoints(first_date="01May2020", last_date="01Sep2020")
with pytest.raises(NotRegisteredExtraError):
dhl.records_extras()
dhl.register(extras=[japan_data, oxcgrt_data, pcr_data, vaccine_data])
series = dhl.records_extras()[Term.DATE]
assert series.min().strftime(Term.DATE_FORMAT) == dhl.first_date == "01May2020"
assert series.max().strftime(Term.DATE_FORMAT) == dhl.last_date == "01Sep2020"
def test_register(self, data, country):
dhl = DataHandler(country=country, province=None)
# Main datasets
if isinstance(data, JHUData):
return dhl.register(jhu_data=data)
if isinstance(data, PopulationData):
return dhl.register(population_data=data)
# Extra datasets
if isinstance(data, (CountryData, JapanData, OxCGRTData, PCRData, VaccineData)):
return dhl.register(extras=[data])
# Un-acceptable datasets
with pytest.raises(UnExpectedValueError):
dhl.register(extras=[data])
def test_complement(self, jhu_data, population_data, country):
dhl = DataHandler(country=country, province=None)
with pytest.raises(NotRegisteredMainError):
assert dhl.complemented is None
with pytest.raises(NotRegisteredMainError):
dhl.show_complement()
dhl.register(jhu_data=jhu_data, population_data=population_data)
# Not complemented
dhl.switch_complement(whether=False)
dhl.records_main()
dhl.show_complement()
assert not dhl.complemented
# Complemented
dhl.switch_complement(whether=True)
dhl.records_main()
dhl.show_complement()
assert dhl.complemented
def test_records_main(self, jhu_data, population_data, country):
dhl = DataHandler(country=country, province=None)
with pytest.raises(NotRegisteredMainError):
dhl.records_main()
dhl.register(jhu_data=jhu_data, population_data=population_data)
assert dhl.population == population_data.value(country=country)
def test_recovery_period(self, jhu_data, country):
dhl = DataHandler(country=country, province=None)
with pytest.raises(NotRegisteredMainError):
assert isinstance(dhl.recovery_period(), int)
dhl.register(jhu_data=jhu_data)
assert isinstance(dhl.recovery_period(), int)
def test_register_unknown_area(self, jhu_data, population_data, country):
dhl = DataHandler(country=country, province=None)
dhl.register(jhu_data=jhu_data)
with pytest.raises(SubsetNotFoundError):
dhl.register(population_data=population_data)
