35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
from locust_component import Locust
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from model_server import MLServer
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from train import TrainModel
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from lightning import LightningApp, LightningFlow
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class TrainAndServe(LightningFlow):
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def __init__(self):
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super().__init__()
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self.train_model = TrainModel()
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self.model_server = MLServer(
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name="mnist-svm",
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implementation="mlserver_sklearn.SKLearnModel",
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workers=8,
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)
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self.performance_tester = Locust(num_users=100)
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def run(self):
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self.train_model.run()
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self.model_server.run(self.train_model.best_model_path)
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if self.model_server.alive():
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# The performance tester needs the model server to be up
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# and running to be started, so the URL is added in the UI.
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self.performance_tester.run(self.model_server.url)
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def configure_layout(self):
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return [
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{"name": "Server", "content": self.model_server.url + "/docs"},
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{"name": "Server Testing", "content": self.performance_tester},
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]
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app = LightningApp(TrainAndServe())
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