def handler(event, context):
"""
Run on AWS Lambda.
"""
config_file = "config.dev.json"
if context.function_name == "autotune-prod-mentalmodels":
config_file = "config.prod.json"
autotune = Autotune(config_file, event['ID'])
memory = Memory(autotune)
networking = Networking(autotune)
ai_features = dict(memory.ai_features().items() + networking.ai_features().items())
procfs_features = dict(memory.procfs_features().items() + networking.procfs_features().items())
sysfs_features = dict(memory.sysfs_features().items() + networking.sysfs_features().items())
autotune.write_ai_features(ai_features)
autotune.write_procfs_features(procfs_features)
autotune.write_sysfs_features(sysfs_features)
autotune.close()
return {
'Message': "OK"
}
def run_model(config_file, event_id):
print "Running {}".format(event_id)
autotune = Autotune(config_file)
autotune.get_id(event_id)
memory = Memory(autotune)
networking = Networking(autotune)
ai_features = dict(memory.ai_features().items() + networking.ai_features().items())
procfs_features = dict(memory.procfs_features().items() + networking.procfs_features().items())
sysfs_features = dict(memory.sysfs_features().items() + networking.sysfs_features().items())
autotune.write_ai_features(ai_features)
autotune.write_procfs_features(procfs_features)
autotune.write_sysfs_features(sysfs_features)
autotune.close()
def run_model(config_file, machine_id):
print "Running {}".format(machine_id)
machine = Machine(config_file)
machine.get_id(machine_id)
memory = Memory(machine)
networking = Networking(machine)
ai_features = dict(memory.ai_features().items() + networking.ai_features().items())
procfs_features = dict(memory.procfs_features().items() + networking.procfs_features().items())
sysfs_features = dict(memory.sysfs_features().items() + networking.sysfs_features().items())
machine.write_features('ai_features', ai_features)
machine.write_features('procfs', procfs_features)
machine.write_features('sysfs', sysfs_features)
machine.write_features('quick', {
'Security': 0,
'Stats': len(procfs_features) + len(sysfs_features),
})
def run_model(config_file, machine_id):
print "Running {}".format(machine_id)
machine = Machine(config_file)
machine.get_id(machine_id)
memory = Memory(machine)
networking = Networking(machine)
ai_features = dict(memory.ai_features().items() +
networking.ai_features().items())
procfs_features = dict(memory.procfs_features().items() +
networking.procfs_features().items())
sysfs_features = dict(memory.sysfs_features().items() +
networking.sysfs_features().items())
machine.write_features('ai_features', ai_features)
machine.write_features('procfs', procfs_features)
machine.write_features('sysfs', sysfs_features)
machine.write_features('quick', {
'Security': 0,
'Stats': len(procfs_features) + len(sysfs_features),
})
