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Add number of markets and resolution stats to the benchmark output #27

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merged 3 commits into from
Feb 22, 2024
Merged

Add number of markets and resolution stats to the benchmark output #27

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32202f8
Add number of markets and resolution stats to the benchmark output
kongzii Feb 22, 2024
7467b06
update generate_markdown_report structure
kongzii Feb 22, 2024
ff2289b
update func name too
kongzii Feb 22, 2024
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34 changes: 31 additions & 3 deletions prediction_market_agent_tooling/benchmark/benchmark.py
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Original file line number Diff line number Diff line change
Expand Up @@ -412,6 +412,30 @@ def get_markets_summary(self) -> t.Dict[str, t.List[str | float]]:
]
return markets_summary

def get_markets_results(self) -> dict[str, list[str | float]]:
return {
"Number of markets": [len(self.markets)],
"Proportion resolved": [
sum(1 for m in self.markets if m.is_resolved) / len(self.markets)
],
"Proportion YES": [
sum(
1
for m in self.markets
if m.probable_resolution == MarketResolution.YES
)
/ len(self.markets)
],
"Proportion NO": [
sum(
1
for m in self.markets
if m.probable_resolution == MarketResolution.NO
)
/ len(self.markets)
],
}

def calculate_expected_returns(
self, prediction: Prediction, market: Market
) -> float | None:
Expand Down Expand Up @@ -498,13 +522,17 @@ def compute_expected_returns_summary(

def generate_markdown_report(self) -> str:
md = "# Comparison Report\n\n"
md += "## Summary Statistics\n\n"
md += "## Market Results\n\n"
md += pd.DataFrame(self.get_markets_results()).to_markdown(index=False)
md += "\n\n"
md += "## Agent Results\n\n"
md += "### Summary Statistics\n\n"
md += pd.DataFrame(self.compute_metrics()).to_markdown(index=False)
md += "\n\n"
md += "## Markets\n\n"
md += "### Markets\n\n"
md += pd.DataFrame(self.get_markets_summary()).to_markdown(index=False)
md += "\n\n"
md += "## Expected value\n\n"
md += "### Expected value\n\n"
overall_summary, per_market = self.compute_expected_returns_summary()
md += pd.DataFrame(overall_summary).to_markdown(index=False)
md += "\n\n"
Expand Down
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