def test_mean_sst_monthly(b, url):
b.get(url)
util.clear_cache('ERA')
b.select_param('variable', 'Mean Temperature')
b.ensure_selected('plottype', 'Surface Map', noptions=2)
b.select_param('period', 'Monthly')
b.select_param('month', 'January')
b.select_param('year', '2012')
assert b.select_contains('dataset', ['reynolds', 'ersst'])
b.select_param('dataset', 'ERSST')
b.submit()
b.wait(output('ERA'))
# check Bathymetry is enabled but not selected
elem = b.find_element_by_xpath('//input[@value="Bathymetry"]')
assert elem.get_attribute('checked') is None
assert elem.get_attribute('disabled') is None
# check Output is enabled and selected
elem = b.find_element_by_xpath('//input[@value="Output"]')
assert elem.get_attribute('checked')
assert elem.get_attribute('disabled') is None
def test_wave_watch_rose(b, url):
b.get(url)
util.clear_cache('WAV')
b.select_param('variable', 'Mean Wave Direction')
b.ensure_selected('plottype', 'Waverose')
b.ensure_selected('period', 'Monthly')
b.select_param('month', 'October') # September and October had a bug
b.ensure_selected('dataset', 'WaveWatch III')
elem = b.find_element_by_id('latitude')
elem.send_keys("-45")
elem.send_keys(Keys.TAB)
elem = b.switch_to_active_element()
elem.send_keys("145")
b.submit()
b.wait(output('WAV'))
# check Bathymetry is selected and enabled
elem = b.find_element_by_xpath('//input[@value="Bathymetry"]')
assert elem.get_attribute('checked')
assert elem.get_attribute('disabled') is None
# check Output is unselected and disabled
elem = b.find_element_by_xpath('//input[@value="Output"]')
assert elem.get_attribute('checked') is None
assert elem.get_attribute('disabled')
def test_ersst(report, variable, period):
util.clear_cache('ERA')
if variable == 'trend' and period == '12monthly':
pytest.skip("Not useful")
elif variable != 'trend' and period == 'yearly':
pytest.skip("No data for this var/period")
params = {
'area': 'pac',
'date': datetime.date(2000, 1, 1),
'period': period,
'variable': variable,
'baseYear': 1950,
}
ds = Dataset()
r = ds.process(params)
print r
assert not 'error' in r
assert 'img' in r
report(params, r['img'])
def test_click_gauge(b, url):
b.get(url)
b.select_param('variable', 'Tidal Gauge')
time.sleep(4) # wait for the map to stabilise
b.wait(jquery('svg circle'))
marker = b.find_element_by_jquery('svg circle:first')
assert marker.get_attribute('stroke') == 'white'
marker.click()
assert marker.get_attribute('stroke') == 'red'
# this will be the first value in the config file
input = b.find_element_by_id('tidalgauge')
assert input.get_attribute('value') == "Fiji - Suva"
input = b.find_element_by_id('tgId')
assert input.get_attribute('value') == 'IDO70063'
util.clear_cache('SEA')
b.submit()
b.wait(output('SEA'))
def test_reynolds(report, variable, period):
if variable == 'dec' and period == 'daily':
pytest.xfail("No data available for this var/period")
elif variable == 'trend':
pytest.skip("Record not long enough")
util.clear_cache('REY')
params = {
'area': 'pac',
'date': datetime.date(2000, 1, 1),
'period': period,
'variable': variable,
}
ds = Dataset()
r = ds.process(params)
print r
assert not 'error' in r
assert 'img' in r
report(params, r['img'])
def test_msla_validate_params_incomplete(report):
util.clear_cache('SEA')
params = {
'variable': 'sla',
'plot': 'map',
'period': 'daily',
'date': datetime.date(2015, 7, 9),
}
ds = Dataset()
with pytest.raises(MissingParameter) as excinfo:
r = ds.process(params)
assert excinfo.value.message == "Missing parameter 'area'"
def test_surface(report, variable, period):
util.clear_cache('BRN')
params = {
'area': 'fiji',
'date': datetime.date(2000, 1, 1),
'period': period,
'variable': variable,
}
ds = Dataset()
r = ds.process(params)
print r
assert not 'error' in r
assert 'img' in r
report(params, r['img'])
def test_surface_msla(report):
util.clear_cache('SEA')
params = {
'variable': 'sla',
'plot': 'map',
'period': 'daily',
'date': datetime.date(2015, 7, 6),
'area': 'pac',
}
ds = Dataset()
r = ds.process(params)
assert 'error' not in r
assert 'img' in r
assert 'mapimg' in r
assert 'scale' in r
report(params, r['img'])
def test_xsection(report, var, period):
util.clear_cache('BRN')
params = {
'area': 'pac',
'date': datetime.date(2000, 1, 1),
'period': period,
'variable': var,
'lat': -30.,
'lon': 160.,
}
ds = Dataset()
r = ds.process(params)
print r
assert not 'error' in r
assert 'img' in r
report(params, r['img'])
def test_gauge_ts(report):
util.clear_cache('SEA')
params = {
'variable': 'gauge',
'plot': 'ts',
'period': 'monthly',
'tidalGaugeId': 'IDO70062',
}
ds = Dataset()
r = ds.process(params)
print r
assert 'error' not in r
assert 'tidimg' in r
assert 'tidtxt' in r
assert len(r) == 2
report(params, r['tidimg'])
fn = util.get_file_from_url(r['tidtxt'])
assert os.path.exists(fn)
with open(fn) as f:
reader = csv.reader(f)
for i in xrange(3):
preamble, = reader.next()
assert preamble.startswith('#')
headers = reader.next()
row = reader.next()
assert len(headers) == len(row)
assert row == map(str,
[2, 1993, 6241, 479, 0.337, 0.961, 0.642, 0.187])
def test_plot(report, variable, period):
util.clear_cache('WAV')
params = {
'date': datetime.date(2000, 1, 1),
'period': period,
'variable': variable,
'lllat': -30.,
'lllon': 160.,
'urlat': -30.,
'urlon': 160.,
}
ds = Dataset()
r = ds.process(params)
print r
assert not 'error' in r
assert 'img' in r
report(params, r['img'])
def test_surface_alt(report):
util.clear_cache('SEA')
params = {
'variable': 'alt',
'plot': 'map',
'period': 'monthly',
'date': datetime.date(2000, 2, 1),
'area': 'pac',
}
ds = Dataset()
r = ds.process(params)
print r
assert 'error' not in r
assert 'img' in r
assert 'altimg' not in r
assert 'alt' in r['img']
report(params, r['img'])
def test_rec_ts(report):
util.clear_cache('SEA')
params = {
'variable': 'rec',
'plot': 'ts',
'period': 'monthly',
'lat': -30.,
'lon': 160.,
}
ds = Dataset()
r = ds.process(params)
print r
assert 'error' not in r
assert 'img' not in r
assert 'recimg' in r
assert 'rec' in r['recimg']
report(params, r['recimg'])
def test_crosssection_zonal_meridional(report, lat, lon):
util.clear_cache('BRN')
params = {
'area': 'pac',
'date': datetime.date(2006, 1, 1),
'period': 'monthly',
'variable': 'temp',
'lat': lat,
'lon': lon,
}
ds = Dataset()
r = ds.process(params)
print r
assert not 'error' in r
assert 'img' in r
assert ('%i' % abs(lat)) in r['img']
assert ('%i' % abs(lon)) in r['img']
report(params, r['img'])
