def __call__(self, environ, start_response):
"""Invoke the Controller"""
# WSGIController.__call__ dispatches to the Controller method
# the request is routed to. This routing information is
# available in environ['pylons.routes_dict']
try:
return WSGIController.__call__(self, environ, start_response)
finally:
Session.remove()
def run(self):
# Prepare
scenarioInput = self.input
scenarioFolder = self.getFolder()
expandPath = lambda x: os.path.join(scenarioFolder, x)
# Register demographics
print 'Registering demographics'
nodesPath = expandPath('nodes')
targetPath = self.getDatasetPath()
sourcePath = expandPath(scenarioInput['demographic file name'])
datasetStore = dataset_store.create(targetPath, sourcePath)
datasetStore.saveNodesSHP(nodesPath)
datasetStore.saveNodesCSV(nodesPath)
# Apply metric
print 'Applying metric'
metricModel = metric.getModel(scenarioInput['metric model name'])
metricConfiguration = scenarioInput['metric configuration']
metricValueByOptionBySection = datasetStore.applyMetric(metricModel, metricConfiguration)
# Build network
print 'Building network'
networkModel = network.getModel(scenarioInput['network model name'])
networkConfiguration = scenarioInput['network configuration']
networkValueByOptionBySection = datasetStore.buildNetwork(networkModel, networkConfiguration)
# Update metric
print 'Updating metric'
metricValueByOptionBySection = datasetStore.updateMetric(metricModel, metricValueByOptionBySection)
# Save output
print 'Saving output'
metric.saveMetricsCSV(expandPath('metrics-global'), metricModel, metricValueByOptionBySection)
datasetStore.saveMetricsCSV(expandPath('metrics-local'), metricModel)
datasetStore.saveSegmentsSHP(expandPath('networks-existing'), is_existing=True)
datasetStore.saveSegmentsSHP(expandPath('networks-proposed'), is_existing=False)
# Bundle
store.zipFolder(scenarioFolder + '.zip', scenarioFolder)
# Validate
self.validateParameters()
# Save output
self.output = {
'variables': {
'node': dict((str(x.id), dict(input=x.input, output=x.output)) for x in datasetStore.cycleNodes()),
'metric': metricValueByOptionBySection,
'network': networkValueByOptionBySection,
},
'statistics': {
'node': datasetStore.getNodeStatistics(),
'metric': datasetStore.getMetricStatistics(),
'network': datasetStore.getNetworkStatistics(),
},
'warnings': store.popWarnings(self.id),
}
# Commit
Session.commit()
def run(self):
# Prepare
scenarioInput = self.input
scenarioFolder = self.getFolder()
expandPath = lambda x: os.path.join(scenarioFolder, x)
# Setup status reporting
from time import localtime, strftime
time_format = "%Y-%m-%d %H:%M:%S"
# Register demographics
Job.log("Registering demographics")
print "%s Registering demographics" % strftime(time_format, localtime())
nodesPath = expandPath('nodes')
targetPath = self.getDatasetPath()
sourcePath = expandPath(scenarioInput['demographic file name'])
datasetStore = dataset_store.create(targetPath, sourcePath)
datasetStore.saveNodesSHP(nodesPath)
datasetStore.saveNodesCSV(nodesPath)
# Apply metric
Job.log("Applying metric")
print "%s Applying metric" % strftime(time_format, localtime())
metricModel = metric.getModel(scenarioInput['metric model name'])
metricConfiguration = scenarioInput['metric configuration']
metricValueByOptionBySection = datasetStore.applyMetric(metricModel, metricConfiguration)
# Build network
Job.log("Building network")
print "%s Building network" % strftime(time_format, localtime())
networkModel = network.getModel(scenarioInput['network model name'])
networkConfiguration = scenarioInput['network configuration']
networkValueByOptionBySection = datasetStore.buildNetwork(networkModel, networkConfiguration, jobLogger=Job)
# Update metric
Job.log("Updating metric")
print "%s Updating metric" % strftime(time_format, localtime())
metricValueByOptionBySection = datasetStore.updateMetric(metricModel, metricValueByOptionBySection)
# Save output
Job.log("Saving output")
print "%s Saving output" % strftime(time_format, localtime())
metric.saveMetricsConfigurationCSV(expandPath('metrics-job-input'), metricConfiguration)
metric.saveMetricsCSV(expandPath('metrics-global'), metricModel, metricValueByOptionBySection)
datasetStore.saveMetricsCSV(expandPath('metrics-local'), metricModel)
datasetStore.saveSegmentsSHP(expandPath('networks-existing'), is_existing=True)
datasetStore.saveSegmentsSHP(expandPath('networks-proposed'), is_existing=False)
# Bundle
store.zipFolder(scenarioFolder + '.zip', scenarioFolder)
# Validate
self.validateParameters()
# Save output
self.output = {
'variables': {
'node': dict((str(x.id), dict(input=x.input, output=x.output)) for x in datasetStore.cycleNodes()),
'metric': metricValueByOptionBySection,
'network': networkValueByOptionBySection,
},
'statistics': {
'node': datasetStore.getNodeStatistics(),
'metric': datasetStore.getMetricStatistics(),
'network': datasetStore.getNetworkStatistics(),
},
'warnings': store.popWarnings(self.id),
}
# Commit
Session.commit()
def init_model(engine):
'Call me before using any of the tables or classes in the model'
Session.configure(bind=engine)
def log(message):
job = Job._current()
if(not job):
job = Job()
Session.add(job)
job._pid_log(message)
def _current():
pid = os.getpid()
host = socket.gethostname()
job = Session.query(Job).filter(Job.pid == pid and Job.host == host).\
order_by(Job.start_time.desc()).first()
return job