[MAIN-169] Add strategy description

5 files changed, 32 insertions, 3 deletions

diff --git a/robusta_krr/core/abstract/strategies.py b/robusta_krr/core/abstract/strategies.py
index c175bd6..66d93fa 100644
--- a/robusta_krr/core/abstract/strategies.py
+++ b/robusta_krr/core/abstract/strategies.py
@@ -21,7 +21,7 @@ class ResourceRecommendation(pd.BaseModel):
 
     @classmethod
     def undefined(cls: type[Self]) -> Self:
-        return cls(request=Decimal('NaN'), limit=Decimal('NaN'))
+        return cls(request=float('NaN'), limit=float('NaN'))
 
 
 class StrategySettings(pd.BaseModel):
@@ -61,6 +61,10 @@ class BaseStrategy(abc.ABC, Generic[_StrategySettings]):
     def __str__(self) -> str:
         return self.__display_name__.title()
 
+    @property
+    def description(self) -> str | None:
+        return None
+
     @abc.abstractmethod
     def run(self, history_data: HistoryData, object_data: K8sObjectData) -> RunResult:
         """Run the strategy to calculate the recommendation"""
diff --git a/robusta_krr/core/models/result.py b/robusta_krr/core/models/result.py
index 7c686f7..e932fef 100644
--- a/robusta_krr/core/models/result.py
+++ b/robusta_krr/core/models/result.py
@@ -93,6 +93,7 @@ class Result(pd.BaseModel):
     scans: list[ResourceScan]
     score: int = 0
     resources: list[str] = ["cpu", "memory"]
+    description: str | None = None
 
     def __init__(self, *args, **kwargs) -> None:
         super().__init__(*args, **kwargs)
diff --git a/robusta_krr/core/runner.py b/robusta_krr/core/runner.py
index 1c67a29..9e1096b 100644
--- a/robusta_krr/core/runner.py
+++ b/robusta_krr/core/runner.py
@@ -144,7 +144,8 @@ class Runner(Configurable):
         return Result(
             scans=[
                 ResourceScan.calculate(obj, recommended) for obj, recommended in zip(objects, resource_recommendations)
-            ]
+            ],
+            description=self._strategy.description,
         )
 
     async def run(self) -> None:
diff --git a/robusta_krr/formatters/table.py b/robusta_krr/formatters/table.py
index 8a93f04..6918512 100644
--- a/robusta_krr/formatters/table.py
+++ b/robusta_krr/formatters/table.py
@@ -50,7 +50,7 @@ class TableFormatter(BaseFormatter):
         :rtype: str
         """
 
-        table = Table(show_header=True, header_style="bold magenta", title=f"Scan result ({result.score} points)")
+        table = Table(show_header=True, header_style="bold magenta", title=f"Scan result ({result.score} points)", caption=result.description)
 
         table.add_column("Number", justify="right", no_wrap=True)
         table.add_column("Cluster", style="cyan")
diff --git a/robusta_krr/strategies/simple.py b/robusta_krr/strategies/simple.py
index aaf31d7..f528ba8 100644
--- a/robusta_krr/strategies/simple.py
+++ b/robusta_krr/strategies/simple.py
@@ -1,6 +1,7 @@
 import pydantic as pd
 import numpy as np
 from numpy.typing import NDArray
+from textwrap import dedent
 
 from robusta_krr.core.abstract.strategies import (
     BaseStrategy,
@@ -41,8 +42,30 @@ class SimpleStrategySettings(StrategySettings):
 
 
 class SimpleStrategy(BaseStrategy[SimpleStrategySettings]):
+    """
+    A simple strategy that uses the {cpu_percentile} percentile for CPU and
+    the peak memory usage plus {memory_buffer_percentage}% buffer for memory.
+    (Exact numbers can be setup in the settings)
+
+    For CPU, we set a request at the {cpu_percentile} percentile with no limit.
+    Meaning, in {cpu_percentile}% of the cases, your CPU request will be sufficient.
+    For the remaining - we set no limit.
+
+    This means your pod can burst and use any CPU available on the node - e.g.
+    CPU that other pods requested but aren't using right now.
+
+    For memory, we take the maximum value over the past week and add a {memory_buffer_percentage}% buffer.
+    """
+
     __display_name__ = "simple"
 
+    @property
+    def description(self) -> str | None:
+        if self.__doc__ is None:
+            return None
+
+        return dedent(self.__doc__.format_map(self.settings.dict())).strip()
+
     def run(self, history_data: HistoryData, object_data: K8sObjectData) -> RunResult:
         cpu_usage = self.settings.calculate_cpu_proposal(history_data[ResourceType.CPU])
         memory_usage = self.settings.calculate_memory_proposal(history_data[ResourceType.Memory])