def test_construct_timeseries_cds(report_with_raw):
report = report_with_raw
raw_report = report.raw_report
timeseries_cds, metadata_cds = figures.construct_timeseries_cds(report)
ts_pair_index = timeseries_cds.data['pair_index']
assert np.all(ts_pair_index == np.arange(
len(report.report_parameters.object_pairs)).repeat([
len(fxob.forecast_values)
for fxob in raw_report.processed_forecasts_observations
]))
observation_values = timeseries_cds.data['observation_values']
forecast_values = timeseries_cds.data['forecast_values']
assert len(observation_values) == len(ts_pair_index)
assert len(forecast_values) == len(ts_pair_index)
# just testing for non-mangling behavior here
assert np.all(observation_values == 100)
assert np.all(forecast_values == 100)
assert 'pair_index' in metadata_cds.data
assert 'observation_name' in metadata_cds.data
assert 'forecast_name' in metadata_cds.data
assert 'interval_label' in metadata_cds.data
assert 'observation_hash' in metadata_cds.data
assert 'forecast_hash' in metadata_cds.data
assert 'observation_color' in metadata_cds.data
def test_timeseries(report_with_raw):
timeseries_cds, metadata_cds = figures.construct_timeseries_cds(
report_with_raw)
report_params = report_with_raw.report_parameters
fig = figures.timeseries(timeseries_cds, metadata_cds, report_params.start,
report_params.end,
report_params.object_pairs[0].forecast.units)
assert fig is not None
def test_scatter(report_with_raw):
timeseries_cds, metadata_cds = figures.construct_timeseries_cds(
report_with_raw)
fig = figures.scatter(
timeseries_cds,
metadata_cds,
report_with_raw.report_parameters.object_pairs[0].forecast.units,
)
assert fig is not None
def test_extract_metadata_from_cds(report_with_raw, hash_key):
timeseries_cds, metadata_cds = figures.construct_timeseries_cds(
report_with_raw)
for the_hash in metadata_cds.data[hash_key]:
metadata = figures._extract_metadata_from_cds(metadata_cds, the_hash,
hash_key)
assert 'pair_index' in metadata
assert 'observation_name' in metadata
assert 'interval_label' in metadata
assert 'observation_color' in metadata
def test_construct_timeseries_cds_no_data(set_report_pfxobs_values, value):
report = set_report_pfxobs_values(value)
with pytest.raises(ValueError):
timeseires_cds, metadata_cds = figures.construct_timeseries_cds(report)
