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chore: remove useless comments
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@@ -17,7 +17,6 @@ class EvaluationDisplayFormatter:
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self.console_formatter.print("[yellow]No evaluation results to display[/yellow]")
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return
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# Get all agent roles across all iterations
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all_agent_roles: set[str] = set()
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for iter_results in iterations_results.values():
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all_agent_roles.update(iter_results.keys())
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@@ -25,7 +24,6 @@ class EvaluationDisplayFormatter:
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for agent_role in sorted(all_agent_roles):
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self.console_formatter.print(f"\n[bold cyan]Agent: {agent_role}[/bold cyan]")
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# Process each iteration
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for iter_num, results in sorted(iterations_results.items()):
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if agent_role not in results or not results[agent_role]:
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continue
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@@ -33,23 +31,19 @@ class EvaluationDisplayFormatter:
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agent_results = results[agent_role]
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agent_id = agent_results[0].agent_id
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# Aggregate results for this agent in this iteration
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aggregated_result = self._aggregate_agent_results(
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agent_id=agent_id,
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agent_role=agent_role,
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results=agent_results,
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)
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# Display iteration header
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self.console_formatter.print(f"\n[bold]Iteration {iter_num}[/bold]")
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# Create table for this iteration
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table = Table(box=ROUNDED)
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table.add_column("Metric", style="cyan")
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table.add_column("Score (1-10)", justify="center")
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table.add_column("Feedback", style="green")
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# Add metrics to table
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if aggregated_result.metrics:
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for metric, evaluation_score in aggregated_result.metrics.items():
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score = evaluation_score.score
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@@ -91,7 +85,6 @@ class EvaluationDisplayFormatter:
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"Overall agent evaluation score"
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)
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# Print the table for this iteration
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self.console_formatter.print(table)
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def display_summary_results(self, iterations_results: Dict[int, Dict[str, List[AgentAggregatedEvaluationResult]]]):
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@@ -248,7 +241,6 @@ class EvaluationDisplayFormatter:
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feedback_summary = None
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if feedbacks:
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if len(feedbacks) > 1:
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# Use the summarization method for multiple feedbacks
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feedback_summary = self._summarize_feedbacks(
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agent_role=agent_role,
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metric=category.title(),
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@@ -307,7 +299,7 @@ class EvaluationDisplayFormatter:
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strategy_guidance = "Focus on the highest-scoring aspects and strengths demonstrated."
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elif strategy == AggregationStrategy.WORST_PERFORMANCE:
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strategy_guidance = "Focus on areas that need improvement and common issues across tasks."
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else: # Default/average strategies
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else:
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strategy_guidance = "Provide a balanced analysis of strengths and weaknesses across all tasks."
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prompt = [
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