from __future__ import print_function
import tellurium as te
te.setDefaultPlottingEngine('matplotlib')
%matplotlib inline
import tempfile

# load model
r = te.loada('S1 -> S2; k1*S1; k1 = 0.1; S1 = 10')
# file for export
f_sbml = tempfile.NamedTemporaryFile(suffix=".xml")

# export current model state
r.exportToSBML(f_sbml.name)

# to export the initial state when the model was loaded
# set the current argument to False
r.exportToSBML(f_sbml.name, current=False)

# The string representations of the current model are available via
str_sbml = r.getCurrentSBML()

# and of the initial state when the model was loaded via
str_sbml = r.getSBML()
print(str_sbml)

"""
Explanation: Back to the main Index
SBML
Given a RoadRunner instance, you can get an SBML representation of the current state of the model using getCurrentSBML. You can also get the initial SBML from when the model was loaded using getSBML. Finally, exportToSBML can be used to export the current model state to a file.
End of explanation
"""


import tellurium as te
import tempfile

# load model
r = te.loada('S1 -> S2; k1*S1; k1 = 0.1; S1 = 10')
# file for export
f_antimony = tempfile.NamedTemporaryFile(suffix=".txt")

# export current model state
r.exportToAntimony(f_antimony.name)

# to export the initial state when the model was loaded
# set the current argument to False
r.exportToAntimony(f_antimony.name, current=False)

# The string representations of the current model are available via
str_antimony = r.getCurrentAntimony()

# and of the initial state when the model was loaded via
str_antimony = r.getAntimony()
print(str_antimony)

"""
Explanation: Antimony
Similar to the SBML functions above, you can also use the functions getCurrentAntimony and exportToAntimony to get or export the current Antimony representation.
End of explanation
"""


import tellurium as te
import tempfile

# load model
r = te.loada('S1 -> S2; k1*S1; k1 = 0.1; S1 = 10')
# file for export
f_cellml = tempfile.NamedTemporaryFile(suffix=".cellml")

# export current model state
r.exportToCellML(f_cellml.name)

# to export the initial state when the model was loaded
# set the current argument to False
r.exportToCellML(f_cellml.name, current=False)

# The string representations of the current model are available via
str_cellml = r.getCurrentCellML()

# and of the initial state when the model was loaded via
str_cellml = r.getCellML()
print(str_cellml)

"""
Explanation: CellML
Tellurium also has functions for exporting the current model state to CellML. These functionalities rely on using Antimony to perform the conversion.
End of explanation
"""


import tellurium as te
import tempfile

# load model
r = te.loada('S1 -> S2; k1*S1; k1 = 0.1; S1 = 10')
# file for export
f_matlab = tempfile.NamedTemporaryFile(suffix=".m")

# export current model state
r.exportToMatlab(f_matlab.name)

# to export the initial state when the model was loaded
# set the current argument to False
r.exportToMatlab(f_matlab.name, current=False)

# The string representations of the current model are available via
str_matlab = r.getCurrentMatlab()

# and of the initial state when the model was loaded via
str_matlab = r.getMatlab()
print(str_matlab)

"""
Explanation: Matlab
To export the current model state to MATLAB, use getCurrentMatlab.
End of explanation
"""


import antimony
antimony.loadAntimonyString('''S1 -> S2; k1*S1; k1 = 0.1; S1 = 10''')
ant_str = antimony.getCellMLString(antimony.getMainModuleName())
print(ant_str)

"""
Explanation: Using Antimony Directly
The above examples rely on Antimony as in intermediary between formats. You can use this functionality directly using e.g. antimony.getCellMLString. A comprehensive set of functions can be found in the Antimony API documentation.
End of explanation
"""


