def test_pkg2py_nrj():
models = pparse.model_parser(pkg_nrj)
m2p = render_python.Model2Package(models,
dir='.',
pkg_name="EnergyBalance")
m2p.run()
def write(self):
"""Populate and write the test files. """
if self.language == "f90":
render_fortran.Model2Package(self.models, self.dir).write_tests()
if self.language == "py":
render_python.Model2Package(self.models, self.dir).write_tests()
def testXmlwf():
models = pparse.model_parser(data)
# translate cropml model units to python functions and openalea in python_model repository
render_python.Model2Package(models, dir='.',
pkg_name="EnergyBalance").run()
# repository of python models generated with wralea
dir = cwd / 'python_model'
rep_composite = data / 'crop2ml'
# composite file
#print(rep_composite.glob("composition*.xml")[0])
compositionFile = rep_composite.glob("composition*.xml")[0]
xmlwf, = composition.model_parser(compositionFile)
wf = XmlToWf(xmlwf, dir, "EnergyBalance")
wf.run()
#print(wf.inputs, wf.outputs)
yet_in = []
yet_out = []
inputfile = dir / "input.txt"
outputfile = dir / "output.txt"
fi_in = open(inputfile, "w")
fi_out = open(outputfile, "w")
writer_input = csv.writer(fi_in, lineterminator='\n', delimiter=";")
writer_output = csv.writer(fi_out, lineterminator='\n', delimiter=";")
i = 0
writer_input.writerow(["name", "description", "input type", "unit"])
writer_output.writerow(["name", "description", "unit"])
for inp in wf.inputs:
for model in models:
for input in model.inputs:
if input.name == inp and input.name not in yet_in and input.name not in wf.outputs:
writer_input.writerow([
inp,
input.description.encode("utf-8"), input.inputtype,
input.unit.encode("utf-8")
])
yet_in.append(inp)
i = i + 1
for out in wf.outputs:
for model in models:
for output in model.outputs:
if output.name == out and output.name not in yet_out:
writer_output.writerow([
out,
output.description.encode("utf-8"),
output.unit.encode("utf-8")
])
yet_out.append(out)
i = i + 1
def testXmlwf():
#model_units = data.glob('unit*.xml')
models = pparse.model_parser(data)
# translate cropml model units to python functions and openalea in python_model repository
render_python.Model2Package(models, dir='.', pkg_name="Phenology").run()
# repository of python models generated with wralea
dir = cwd / 'python_model'
rep_composite = data / 'crop2ml'
# composite file
#print(rep_composite.glob("composition*.xml")[0])
compositionFile = rep_composite.glob("composition*.xml")[0]
xmlwf, = composition.model_parser(compositionFile)
XmlToWf(xmlwf, dir, "Phenology").run()
def test1():
models = totalparse.totalexample()
assert len(models)
m2p = render_python.Model2Package(models, dir='.')
m2p.run()
code = m2p.code
exec(code)
codetest = m2p.codetest
mymodel = Path('mymodel')
mymodel.chdir()
os.system('nosetests')
Path('..').chdir()
if mymodel.exists():
mymodel.rmtree()
return models
def test_pkg2py_nrj():
models = pparse.model_parser(pkg_pheno)
m2p = render_python.Model2Package(models, dir='.', pkg_name="Phenology")
m2p.run()
assert len(models)
m2p = render_python.Model2Package(models, dir='.')
m2p.run()
code = m2p.code
exec(code)
codetest = m2p.codetest
mymodel = Path('mymodel')
mymodel.chdir()
os.system('nosetests')
Path('..').chdir()
if mymodel.exists():
mymodel.rmtree()
return models
if __name__ == '__main__':
models = totalparse.totalexample()
assert len(models)
m2p = render_python.Model2Package(models)
m2p.run()
code = m2p.code
exec(code)
codetest = m2p.codetest
exec(codetest)