def test_alt_range_wrapping():
params = {
'variable': 'alt',
'plot': 'ts',
'period': 'monthly',
'lat': -12.270,
'lon': -163.475
}
ds = Dataset()
r = ds.process(params)
assert 'error' not in r
def test_land_error():
params = {
'variable': 'alt',
'plot': 'ts',
'period': 'monthly',
'lat': -23.,
'lon': 146.,
}
ds = Dataset()
from ocean.netcdf.extractor import LandError
with pytest.raises(LandError):
ds.process(params)
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_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'])