def load_model(file_name):
'''
load the model
:param file: the location of the .vpm file to be loaded.
:exception: raises a :class:`~EMAExceptions.VensimError` if the model
cannot be loaded.
.. note: only works for .vpm files
'''
debug("executing COMMAND: SIMULATE>SPECIAL>LOADMODEL|"+file_name)
try:
command(r"SPECIAL>LOADMODEL|"+file_name)
except VensimWarning as w:
warning(str(w))
raise VensimError("vensim file not found")
def _run_case(self, case):
"""
Method for running an instantiated model structure.
This method should always be implemented.
:param case: keyword arguments for running the model. The case is a
dict with the names of the uncertainties as key, and
the values to which to set these uncertainties.
.. note:: This method should always be implemented.
"""
for key, value in case.iteritems():
try:
self.netlogo.command(self.command_format.format(key, value))
except jpype.JavaException as e:
warning('variable {0} throws exception: {}'.format(
(key, str(e))))
def get_data(filename, varname, step=1):
'''
Retrieves data from simulation runs or imported data sets.
:param filename: the name of the .vdf file that contains the data
:param varname: the name of the variable to retrieve data on
:param step: steps used in slicing. Defaults to 1, meaning the full
recored time series is returned.
:return: an array with the values for varname over the simulation
'''
vval = []
try:
vval, tval = vensimDLLwrapper.get_data(filename, varname)
except VensimWarning as w:
warning(str(w))
return vval
def run_simulation(file_name):
'''
Convenient function to run a model and store the results of the run in
the specified .vdf file. The specified output file will be overwritten
by default
:param file: the location of the outputfile
:exception: raises a :class:`~EMAExceptions.VensimError` if running
the model failed in some way.
'''
try:
debug(" executing COMMAND: SIMULATE>RUNNAME|"+file_name+"|O")
command("SIMULATE>RUNNAME|"+file_name+"|O")
debug(r"MENU>RUN|o")
command(r"MENU>RUN|o")
except VensimWarning as w:
warning((str(w)))
raise VensimError(str(w))
def set_value(variable, value):
'''
set the value of a variable to value
current implementation only works for lookups and normal values. In case
of a list, a lookup is assumed, else a normal value is assumed.
See the DSS reference supplement, p. 58 for details.
:param variable: name of the variable to set.
:param value: the value for the variable.
**note**: the value can be either a list, or an float/integer.
If it is a list, it is assumed the variable is a lookup.
'''
if type(value) == types.ListType:
command(r"SIMULATE>SETVAL|"+variable+"("+ str(value)[1:-1] + ")")
else:
try:
command(r"SIMULATE>SETVAL|"+variable+"="+str(value))
except VensimWarning:
warning('variable: \'' +variable+'\' not found')
def run_model(self, case):
"""
Method for running an instantiated model structure.
This method should always be implemented.
:param case: keyword arguments for running the model. The case is a
dict with the names of the uncertainties as key, and
the values to which to set these uncertainties.
.. note:: This method should always be implemented.
"""
for key, value in case.iteritems():
try:
self.netlogo.command(self.command_format.format(key, value))
except jpype.JavaException as e:
warning('variable {0} throws exception: {}'.format((key,
str(e))))
debug("model parameters set successfully")
# finish setup and invoke run
self.netlogo.command("setup")
commands = []
fns = {}
for outcome in self.outcomes:
if outcome.time:
name = outcome.name
fn = r'{0}{3}{1}{2}'.format(self.working_directory,
name,
".txt",
os.sep)
fns[name] = fn
fn = '"{}"'.format(fn)
fn = fn.replace(os.sep, '/')
if self.netlogo.report('is-agentset? {}'.format(name)):
# if name is name of an agentset, we
# assume that we should count the total number of agents
nc = r'{2} {0} {3} {4} {1}'.format(fn,
name,
"file-open",
'file-write',
'count')
else:
# it is not an agentset, so assume that it is
# a reporter / global variable
nc = r'{2} {0} {3} {1}'.format(fn,
name,
"file-open",
'file-write')
commands.append(nc)
c_start = "repeat {} [".format(self.run_length)
c_end = "go ]"
c_middle = " ".join(commands)
command = " ".join((c_start, c_middle, c_end))
self.netlogo.command(command)
# after the last go, we have not done a write for the outcomes
# so we do that now
self.netlogo.command(c_middle)
self.netlogo.command("file-close-all")
self._handle_outcomes(fns)
base vensim warning
'''
pass
class VensimError(EMAError):
'''
base Vensim error
'''
pass
try:
vensim = ctypes.windll.vendll32
except (WindowsError, AttributeError):
sys.stderr.write("vensim dll not found, vensim functionality not available\n")
warning("vensim dll not found, vensim functionality not available")
del sys
def be_quiet(quietflag):
'''
this allows you to turn off the work in progress dialog that Vensim
displays during simulation and other activities, and also prevent the
appearance of yes or no dialogs.
use 0 for normal interaction, 1 to prevent the appearance of any work
in progress windows, and 2 to also prevent the appearance of any
interrogative dialogs'
'''
if quietflag > 2:
raise VensimError("incorrect value for quietflag")
from expWorkbench import debug, info, warning
from expWorkbench.ema_exceptions import EMAError
__all__ = ['NetLogoException',
'NetLogoLink']
if sys.platform=='win32':
NETLOGO_HOME = r'C:\Program Files (x86)\NetLogo 5.0.4'
jar_separator = ";" # jars are separated by a ; on Windows
elif sys.platform=='darwin':
jar_separator = ":" # jars are separated by a : on MacOS
NETLOGO_HOME = r'/Applications/NetLogo 5.0.4'
else:
# TODO should raise and exception which is subsequently cached and
# transformed into a a warning just like excel and vensim
warning('netlogo support not available')
PYNETLOGO_HOME = os.path.dirname(os.path.abspath(__file__))
class NetLogoException(Exception):
pass
class NetLogoLink():
def __init__(self, gui=False, thd=False):
'''
Create a link with netlogo. Underneath, the netlogo jvm is started
throuhg jpype.