def test_importer(self):
from libcellml import Importer, Parser, Printer
parser = Parser()
i = Importer()
m = parser.parseModel(file_contents('importer/diamond.cellml'))
printer = Printer()
i.resolveImports(m, resource_path('importer/'))
self.assertFalse(m.hasUnresolvedImports())
# Library should contain left, right, and one instance (not two) of the point.
self.assertEqual(3, i.libraryCount())
self.assertEqual(resource_path('importer/diamond_left.cellml'),
i.key(0))
self.assertEqual(resource_path('importer/diamond_point.cellml'),
i.key(1))
self.assertEqual(resource_path('importer/diamond_right.cellml'),
i.key(2))
# Access library items by their URL.
left = i.library(resource_path('importer/diamond_left.cellml'))
self.assertEqual(file_contents('importer/diamond_left.cellml'),
printer.printModel(left))
model.component('uncomputedVariable').setMath(mathml)
# Variable 'a' in component 'validationErrors' is not computed.
# Variable 'c' in component 'validationErrors' is not computed.
model.component('validationErrors').variable('c').setInitialValue(1.0)
# Check again.
validator.validateModel(model)
print('The validator found {} issues.'.format(validator.issueCount()))
for i in range(0, validator.issueCount()):
issue = validator.issue(i)
print(issue.description())
analyser.analyseModel(model)
print('The analyser found {} issues.'.format(analyser.issueCount()))
for i in range(0, analyser.issueCount()):
issue = analyser.issue(i)
print(issue.description())
# STEP 7
# Write the flattened, validated, analysed model to a serialised CellML string.
printer = Printer()
model_string = printer.printModel(model)
# Write the serialised string to a file.
write_file = open("debugAnalysisExampleFixed.cellml", "w")
write_file.write(model_string)
# END
print(' STEP 4: Check and output the corrected model')
print('----------------------------------------------')
# 4.a
# Validate the corrected model again and check that there are no more issues.
validator.validateModel(model)
print('The validator found {} issues in the model.'.format(
validator.issueCount()))
# 4.b
# Print the corrected model to the terminal.
print_model(model, True)
# 4.c
# Print corrected model to a file.
printer = Printer()
serialised_model = printer.printModel(model)
out_filename = 'tutorial2_printed.cellml'
with open(out_filename, 'w') as f:
f.write(serialised_model)
# end 4
print(
f"The corrected '{model.name()}' model has been printed to: {out_filename}"
)
# 4.d
# Go and have a cuppa, you're done!
# to do the final check before serialising our model for output, we will use the Importer
# to create a flattened version of the model to submit for analysis.
# 10.i
# Create a flattened version of the final model using the Importer.flattenModel(model)
# function. Run this through the analyser and expect there to be no issues reported.
flatModel = importer.flattenModel(model)
analyser.analyseModel(flatModel)
print_issues(analyser)
# end 10.i
# Note that at this point an analysis of the unflattened model will still show errors,
# but that's totally fine.
print('------------------------------------------------------------')
print(' STEP 11: Output the model ')
print('------------------------------------------------------------')
# 11.a
# Create a Printer instance and use it to serialise the model. This creates a string
# containing the CellML-formatted version of the model. Write this to a file called
# 'PotassiumChannelModel.cellml'.
printer = Printer()
write_file = open('PotassiumChannelModel.cellml', 'w')
write_file.write(printer.printModel(model))
write_file.close()
# end
print('The created model has been written to PotassiumChannelModel.cellml')
def test_print_model(self):
from libcellml import Printer, Model
# std::string printModel(ModelPtr model)
p = Printer()
self.assertIsInstance(p.printModel(Model()), str)
for i in range(0, validator.issueCount()):
print(' - '.format(validator.issue(i).description()))
analyser.analyseModel(flat_model)
print('The analyser found {} issues.'.format(analyser.issueCount()))
for i in range(0, analyser.issueCount()):
print(' - '.format(analyser.issue(i).description()))
# STEP 7
# Print the collection of repaired import models to files.
# To avoid over-writing existing files, we'll write the corrected files to a separate
# directory called "repaired/". Note that the relationship between the files needs
# to be maintained, so even files that have not been changed need to be written
# to the new location.
# Write the original model to a file.
printer = Printer()
model_string = printer.printModel(original_model)
write_file = open("repaired/import_debugger/importExample1.cellml", "w")
write_file.write(model_string)
# Write the dependency models in the importer library to files.
for m in range(0, importer.libraryCount()):
write_file = open("repaired/"+importer.key(m), "w")
model_string = printer.printModel(importer.library(m))
write_file.write(model_string)
print('The corrected models has been written to the \'repaired/resources/\' directory')
# END