Deployment target and running mode algorithm properties (#7337)
* Add algorithm's mode and deployment target properties source from job packet * Address peer review * Add Python regression algorithm
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# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from AlgorithmImports import *
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### <summary>
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### Algorithm asserting the correct values for the deployment target and algorithm mode.
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### </summary>
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class AlgorithmModeAndDeploymentTargetAlgorithm(QCAlgorithm):
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def Initialize(self):
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self.SetStartDate(2013,10, 7)
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self.SetEndDate(2013,10,11)
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self.SetCash(100000)
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#translate commented code from c# to python
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self.Debug(f"Algorithm Mode: {self.AlgorithmMode}. Is Live Mode: {self.LiveMode}. Deployment Target: {self.DeploymentTarget}.")
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if self.AlgorithmMode != AlgorithmMode.Backtesting:
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raise Exception(f"Algorithm mode is not backtesting. Actual: {self.AlgorithmMode}")
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if self.LiveMode:
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raise Exception("Algorithm should not be live")
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if self.DeploymentTarget != DeploymentTarget.LocalPlatform:
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raise Exception(f"Algorithm deployment target is not local. Actual{self.DeploymentTarget}")
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# For a live deployment these checks should pass:
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# if self.AlgorithmMode != AlgorithmMode.Live: raise Exception("Algorithm mode is not live")
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# if not self.LiveMode: raise Exception("Algorithm should be live")
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# For a cloud deployment these checks should pass:
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# if self.DeploymentTarget != DeploymentTarget.CloudPlatform: raise Exception("Algorithm deployment target is not cloud")
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self.Quit()
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