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Merge pull request #265 from Ouranosinc/connectNRCAN
Added tests and codes to integrate NRCAN ncml datasets.
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import pytest | ||
import datetime as dt | ||
import numpy as np | ||
import xarray as xr | ||
import json | ||
import matplotlib.pyplot as plt | ||
from pywps import Service | ||
from pywps.tests import assert_response_success | ||
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import tempfile | ||
from . common import client_for, TESTDATA, CFG_FILE, get_output, urlretrieve | ||
from raven.processes import RavenHMETSProcess | ||
from raven.models import HMETS | ||
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NRCAN_path='https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/birdhouse/1-Datasets/gridded_obs/nrcan_v2.ncml' | ||
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# Temporary path | ||
filepath = tempfile.mkdtemp() + "/NRCAN_ts.nc" | ||
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# Get information for given catchment, could be passed in parameter to the function | ||
salmon=xr.open_dataset(TESTDATA['raven-hmets-nc-ts']) | ||
lat = salmon.lat.values[0] | ||
lon = salmon.lon.values[0] | ||
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#Start and end dates | ||
start_date=dt.datetime(2006, 1, 1) | ||
end_date=dt.datetime(2007, 12, 31) | ||
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# Get data for the covered period including a 1-degree bounding box for good measure. Eventually we will be | ||
# able to take the catchment polygon as a mask and average points residing inside. | ||
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ds=xr.open_dataset(NRCAN_path).sel(lat=slice(lat+1,lat-1), lon=slice(lon-1,lon+1), time=slice(start_date, end_date)).mean(dim={'lat','lon'}, keep_attrs=True) | ||
ds.to_netcdf(filepath) | ||
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class TestRavenNRCAN: | ||
def test_simple(self): | ||
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params = (9.5019, 0.2774, 6.3942, 0.6884, 1.2875, 5.4134, 2.3641, 0.0973, 0.0464, 0.1998, 0.0222, -1.0919, | ||
2.6851, 0.3740, 1.0000, 0.4739, 0.0114, 0.0243, 0.0069, 310.7211, 916.1947) | ||
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model = HMETS() | ||
model(ts=filepath, | ||
params=params, | ||
start_date=start_date, | ||
end_date=end_date, | ||
name='Salmon', | ||
run_name='test-hmets-NRCAN', | ||
area=4250.6, | ||
elevation=843.0, | ||
latitude=54.4848, | ||
longitude=-123.3659, | ||
rain_snow_fraction="RAINSNOW_DINGMAN", | ||
tasmax={'linear_transform': (1.0, -273.15)}, | ||
tasmin={'linear_transform': (1.0, -273.15)}, | ||
pr={'linear_transform': (86400, 0.0)} | ||
) | ||
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class TestRavenNRCANProcess: | ||
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def test_simple(self): | ||
client = client_for(Service(processes=[RavenHMETSProcess(), ], cfgfiles=CFG_FILE)) | ||
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params = '9.5019, 0.2774, 6.3942, 0.6884, 1.2875, 5.4134, 2.3641, 0.0973, 0.0464, 0.1998, 0.0222, -1.0919, ' \ | ||
'2.6851, 0.3740, 1.0000, 0.4739, 0.0114, 0.0243, 0.0069, 310.7211, 916.1947' | ||
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datainputs = "ts=files@xlink:href=file://{ts};" \ | ||
"params={params};" \ | ||
"start_date={start_date};" \ | ||
"end_date={end_date};" \ | ||
"init={init};" \ | ||
"name={name};" \ | ||
"run_name={run_name};" \ | ||
"area={area};" \ | ||
"latitude={latitude};" \ | ||
"longitude={longitude};" \ | ||
"elevation={elevation};" \ | ||
"rain_snow_fraction={rain_snow_fraction};"\ | ||
"nc_spec={tasmax};"\ | ||
"nc_spec={tasmin};"\ | ||
"nc_spec={pr}"\ | ||
.format(ts=filepath, # This is a file on disk, need to pass 'g' | ||
params=params, | ||
start_date=start_date, | ||
end_date=end_date, | ||
init='155,455', | ||
name='Salmon', | ||
run_name='test-hmets-NRCAN', | ||
area='4250.6', | ||
elevation='843.0', | ||
latitude=lat, | ||
longitude=lon, | ||
rain_snow_fraction="RAINSNOW_DINGMAN", | ||
tasmax=json.dumps({'tasmax': {'linear_transform': (1.0, -273.15)}}), | ||
tasmin=json.dumps({'tasmin': {'linear_transform': (1.0, -273.15)}}), | ||
pr=json.dumps({'pr': {'linear_transform': (86400.0, 0.0)}}), | ||
) | ||
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resp = client.get( | ||
service='WPS', request='Execute', version='1.0.0', identifier='raven-hmets', | ||
datainputs=datainputs) | ||
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assert_response_success(resp) | ||
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# For testing purposes | ||
#out = get_output(resp.xml) | ||
#tmp_file, _ = urlretrieve(out['hydrograph']) | ||
#tmp=xr.open_dataset(tmp_file) | ||
#plt.plot(tmp['q_sim']) | ||
#plt.show() | ||
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