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# This is an example on how to create your own custom strategy
from decimal import Decimal
import pydantic as pd
from robusta_krr import run
from robusta_krr.core.abstract.strategies import (
BaseStrategy,
HistoryData,
K8sObjectData,
ResourceRecommendation,
ResourceType,
RunResult,
StrategySettings,
)
class CustomStrategySettings(StrategySettings):
param_1: Decimal = pd.Field(99, gt=0, description="First example parameter")
param_2: Decimal = pd.Field(105_000, gt=0, description="Second example parameter")
class CustomStrategy(BaseStrategy[CustomStrategySettings]):
__display_name__ = "custom"
def run(self, history_data: HistoryData, object_data: K8sObjectData) -> RunResult:
return {
ResourceType.CPU: ResourceRecommendation(request=self.settings.param_1, limit=None),
ResourceType.Memory: ResourceRecommendation(request=self.settings.param_2, limit=self.settings.param_2),
}
# Running this file will register the strategy and make it available to the CLI
if __name__ == "__main__":
run()
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