# end 1
print('----------------------------------------------------------')
print(' STEP 2: Resolve the imports and flatten ')
print('----------------------------------------------------------')
import_path = os.path.dirname(model_file)
# 2.a
# Create an Importer instance and use it to resolve the imports in your model.
importer = Importer()
importer.resolveImports(model, import_path)
# 2.b
# Check that the importer has not raised any issues.
print_issues(importer)
# 2.c
# Use the importer to create a flattened version of the model.
flatModel = importer.flattenModel(model)
# end 2
print('----------------------------------------------------------')
print(' STEP 3: Validate and analyse the flattened model ')
print('----------------------------------------------------------')
# 3.a
# Create a Validator instance, pass in the flattened model, and check that
# there are no issues raised.
validator = Validator()
# Read the mystery file, MysteryModel.cellml.
with open(model_file) as f:
content = f.read()
# 1.b
# Create a Parser item.
parser = Parser()
# 1.c
# Use the parser to deserialise the contents of the string you've read
# and return the model.
model = parser.parseModel(content)
# 1.d
# Check that the parser has not raised any issues.
print_issues(parser)
# end 1
print('----------------------------------------------------------')
print(' STEP 2: Find "marco" ')
print('----------------------------------------------------------')
# 2.a
# Create an Annotator item and use the setModel function to pass in the parsed
# mystery model.
annotator = Annotator()
annotator.setModel(model)
# end 2.a