def create_replicate_map_pack(self, m_name, instance_idx, replicate, ls):
action = "REPLICATE_MAP_PACK"
model_file = mdig.repository.get_models()[m_name]
dm = DispersalModel(model_file)
instance = dm.get_instances()[instance_idx]
# Tell web interface we've started
msg = {'model': m_name, 'action': action,
'status': {'started': datetime.datetime.now(),
'active_instance': instance_idx,
'description': "Generating images",
'active_replicate': replicate}}
self.results_q.put(msg)
# Add listener so that we have progress updates
instance.listeners.append(self.listener)
# also convert replicate maps into images
# via ExportAction
from actions import ExportAction
ea = ExportAction()
ea.parse_options([])
ea.options.output_map_pack = True
ea.options.output_lifestage = ls
ea.options.overwrite_flag = True
ea.options.reps = [replicate]
try:
ea.do_instance(instance)
except:
raise
msg = {'model': m_name, 'action': action,
'status': {
'active_instance': instance_idx,
'description': "Generating images",
'active_replicate': replicate,
'complete': datetime.datetime.now()}}
self.results_q.put(msg)
def create_occupancy_map_pack(self, m_name, instance_idx=None, ls=None):
action = "OCCUPANCY_MAP_PACK"
model_file = mdig.repository.get_models()[m_name]
dm = DispersalModel(model_file)
instance = dm.get_instances()[instance_idx]
# Tell web interface we've started
msg = {
'model': m_name,
'action': action,
'status': {
'started': datetime.datetime.now()
}
}
self.results_q.put(msg)
self.log.debug("Checking/creating envelopes")
# Tell web interface what we're doing
msg = {
'model': m_name,
'action': action,
'status': {
'active_instance': instance_idx,
'description': "Creating occupancy envelopes"
}
}
self.results_q.put(msg)
# Add listener so that we have progress updates
instance.listeners.append(self.listener)
# Now actually create the envelopes if necessary
instance.update_occupancy_envelope(ls_list=[ls])
# also convert occupancy envelopes into images
# via ExportAction
from actions import ExportAction
ea = ExportAction()
ea.parse_options([])
ea.options.output_map_pack = True
ea.options.output_lifestage = ls
ea.options.overwrite_flag = True
ea.listeners.append(self.listener)
self.log.debug("Exporting maps")
msg = {
'model': m_name,
'action': action,
'status': {
'active_instance': instance_idx,
'description': "Exporting maps"
}
}
self.results_q.put(msg)
try:
ea.do_instance(instance)
except:
raise
msg = {
'model': m_name,
'action': action,
'status': {
'complete': datetime.datetime.now()
}
}
self.results_q.put(msg)
def run_model(self, m_name, instances, rerun=False):
model_file = mdig.repository.get_models()[m_name]
dm = DispersalModel(model_file)
if rerun:
dm.reset_instances()
msg = {
'model': m_name,
'action': "RUN",
'status': {
'started': datetime.datetime.now()
}
}
self.results_q.put(msg)
i_objs = dm.get_instances()
for instance in instances:
i = i_objs[instance]
i.listeners.append(self.listener)
msg = {
'model': m_name,
'action': "RUN",
'status': {
'active_instance': instance
}
}
i.run()
msg = {'model': m_name, 'action': "RUN",
'status': {'complete': datetime.datetime.now()}}
self.results_q.put(msg)
def run_model(self, m_name, instances, rerun=False):
model_file = mdig.repository.get_models()[m_name]
dm = DispersalModel(model_file)
if rerun:
dm.reset_instances()
msg = {
'model': m_name,
'action': "RUN",
'status': {
'started': datetime.datetime.now()
}
}
self.results_q.put(msg)
i_objs = dm.get_instances()
for instance in instances:
i = i_objs[instance]
i.listeners.append(self.listener)
msg = {
'model': m_name,
'action': "RUN",
'status': {
'active_instance': instance
}
}
i.run()
msg = {
'model': m_name,
'action': "RUN",
'status': {
'complete': datetime.datetime.now()
}
}
self.results_q.put(msg)
def validate_model_name(mname):
# Get existing models in repository
models = mdig.repository.get_models()
if mname not in models.keys():
abort(404, "No such model")
try:
dm = DispersalModel(models[mname])
except mdig.model.ValidationError:
abort(500, "Model %s is badly formed" % mname)
# Hack to get instances to initialise mapsets if they need to
# and then save them
dm.get_instances()
dm.save_model()
return dm
def index():
# Get existing models in repository
models = mdig.repository.get_models()
ms = models.keys()[:]
ms.sort()
m_list = []
for m in ms:
try:
dm = DispersalModel(models[m], setup=False)
desc = dm.get_description()
desc = re.sub("[\\s\\t]+", " ", desc)
m_list.append((m, desc, dm.infer_location()))
except mdig.model.ValidationError, e:
log.error(str(e))
def index():
# Get existing models in repository
models = mdig.repository.get_models()
ms = models.keys()[:]
ms.sort()
m_list = []
for m in ms:
try:
dm = DispersalModel(models[m], setup=False)
desc = dm.get_description()
desc = re.sub("[\\s\\t]+", " ", desc)
m_list.append((m, desc, dm.infer_location()))
except mdig.model.ValidationError, e:
log.error(str(e))
def create_replicate_gif(self, m_name, instance_idx, replicate, ls):
action = "REPLICATE_GIF"
model_file = mdig.repository.get_models()[m_name]
dm = DispersalModel(model_file)
instance = dm.get_instances()[instance_idx]
# Tell web interface we've started
msg = {
'model': m_name,
'action': action,
'status': {
'started': datetime.datetime.now(),
'active_instance': instance_idx,
'description': "Generating images",
'active_replicate': replicate
}
}
self.results_q.put(msg)
# Add listener so that we have progress updates
instance.listeners.append(self.listener)
# also convert replicate maps into images
# via ExportAction
from actions import ExportAction
ea = ExportAction()
ea.parse_options([])
ea.options.output_gif = True
ea.options.output_image = True
ea.options.output_lifestage = ls
ea.options.overwrite_flag = True
ea.options.reps = [replicate]
try:
ea.do_instance(instance)
except:
raise
msg = {
'model': m_name,
'action': action,
'status': {
'active_instance': instance_idx,
'description': "Generating images",
'active_replicate': replicate,
'complete': datetime.datetime.now()
}
}
self.results_q.put(msg)
def create_occupancy_map_pack(self, m_name, instance_idx=None, ls=None):
action = "OCCUPANCY_MAP_PACK"
model_file = mdig.repository.get_models()[m_name]
dm = DispersalModel(model_file)
instance = dm.get_instances()[instance_idx]
# Tell web interface we've started
msg = {'model': m_name, 'action': action,
'status': {'started': datetime.datetime.now()}}
self.results_q.put(msg)
self.log.debug("Checking/creating envelopes")
# Tell web interface what we're doing
msg = {'model': m_name, 'action': action,
'status': {'active_instance': instance_idx, 'description': "Creating occupancy envelopes"}}
self.results_q.put(msg)
# Add listener so that we have progress updates
instance.listeners.append(self.listener)
# Now actually create the envelopes if necessary
instance.update_occupancy_envelope(ls_list=[ls])
# also convert occupancy envelopes into images
# via ExportAction
from actions import ExportAction
ea = ExportAction()
ea.parse_options([])
ea.options.output_map_pack = True
ea.options.output_lifestage = ls
ea.options.overwrite_flag = True
ea.listeners.append(self.listener)
self.log.debug("Exporting maps")
msg = {'model': m_name, 'action': action,
'status': {'active_instance': instance_idx,
'description': "Exporting maps"}}
self.results_q.put(msg)
try:
ea.do_instance(instance)
except:
raise
msg = {'model': m_name, 'action': action, 'status': {
'complete': datetime.datetime.now()}}
self.results_q.put(msg)
def validate_model_name(mname):
# Get existing models in repository
models = mdig.repository.get_models()
if mname not in models.keys():
abort(404, "No such model")
try:
dm = DispersalModel(models[mname])
except mdig.model.ValidationError:
abort(500, "Model %s is badly formed" % mname)
# Hack to get instances to initialise mapsets if they need to
# and then save them
dm.get_instances()
dm.save_model()
return dm
