- Author:
- WeiweiAi <wai484@aucklanduni.ac.nz>
- Date:
- 2022-08-02 15:14:59+12:00
- Desc:
- Add the BG of a chemical reaction
- Permanent Source URI:
- https://models.cellml.org/workspace/6bc/rawfile/c856b59f39db721d14e9e3e77a231ff986471f95/Scripts/modelValidation.py
import libcellml
def modelValidation(cellmlfile,mPath):
#Parse a CellML file into a model m
p=libcellml.Parser()
with open(cellmlfile) as f:
contents=f.read()
m=p.parseModel(contents)
print('The component count is: ', m.componentCount())
print('The model has imports? ',m.hasImports())
# Create an Importer to resolve and flatten the model
i=libcellml.Importer()
result=i.resolveImports(m,mPath)
print('Resolving result:',result)
print('The issue count: ',i.issueCount())
for index in range(i.issueCount()):
print(i.issue(index).description())
# Create a validator instance v and pass the model to it
v=libcellml.Validator()
# Validate the model m
v.validateModel(m)
# Retrieve the error information
print('The error count is: ',v.errorCount())
for index in range(v.errorCount()):
print(v.error(index).description())
print('The issue count is: ',v.issueCount())
for index in range(v.issueCount()):
print(v.issue(index).description())
print('The warning count is: ',v.warningCount())
for index in range(v.warningCount()):
print(v.warning(index).description())
print('The hint count is: ',v.hintCount())
for index in range(v.warningCount()):
print(v.hint(index).description())
print('The message count is: ',v.messageCount())
for index in range(v.warningCount()):
print(v.message(index).description())
f.close()
return
