# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals. # Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from AlgorithmImports import * ### ### Algorithm asserting the correct values for the deployment target and algorithm mode. ### class AlgorithmModeAndDeploymentTargetAlgorithm(QCAlgorithm): def initialize(self): self.set_start_date(2013,10, 7) self.set_end_date(2013,10,11) self.set_cash(100000) #translate commented code from c# to python self.debug(f"Algorithm Mode: {self.algorithm_mode}. Is Live Mode: {self.live_mode}. Deployment Target: {self.deployment_target}.") if self.algorithm_mode != AlgorithmMode.BACKTESTING: raise AssertionError(f"Algorithm mode is not backtesting. Actual: {self.algorithm_mode}") if self.live_mode: raise AssertionError("Algorithm should not be live") if self.deployment_target != DeploymentTarget.LOCAL_PLATFORM: raise AssertionError(f"Algorithm deployment target is not local. Actual{self.deployment_target}") # For a live deployment these checks should pass: # if self.algorithm_mode != AlgorithmMode.LIVE: raise AssertionError("Algorithm mode is not live") # if not self.live_mode: raise AssertionError("Algorithm should be live") # For a cloud deployment these checks should pass: # if self.deployment_target != DeploymentTarget.CLOUD_PLATFORM: raise AssertionError("Algorithm deployment target is not cloud") self.quit()