package executor

import (
	"github.com/yaoapp/yao/agent/robot/types"
)

// RunLearning executes P5: Learning phase
//
// Extracts learnings from execution and saves to private KB.
// Learning types: execution (what worked), feedback (errors), insight (patterns).
//
// Implementation (TODO Phase 9):
// 1. Build prompt with execution summary
// 2. Call Learning Agent via Assistant.Stream() to extract learnings
// 3. Save learning entries to private KB
func (e *Executor) RunLearning(_ *types.Context, exec *types.Execution, _ interface{}) error {
	// TODO (Phase 9): Replace with real learning
	// agentID := robot.Config.Resources.GetPhaseAgent(types.PhaseLearning)
	// messages := buildLearningMessages(exec, robot)
	// response, err := callAgentStream(ctx, agentID, messages)
	// if err != nil {
	//     return err
	// }
	// exec.Learning = parseLearningEntries(response)
	// err = saveLearningToKB(ctx, robot, exec.Learning)
	// if err != nil {
	//     return err
	// }

	// Simulate Agent Stream delay
	e.simulateStreamDelay()

	// Generate mock learning entries
	exec.Learning = []types.LearningEntry{
		{
			Type:    types.LearnExecution,
			Content: "Execution completed successfully with all tasks passing. Total duration within expected range.",
			Tags:    []string{"success", "performance"},
		},
		{
			Type:    types.LearnInsight,
			Content: "Task execution order optimization: Running data analysis before report generation improves efficiency.",
			Tags:    []string{"optimization", "workflow"},
		},
	}

	return nil
}