evaluation

type ABTester struct {
	// contains filtered or unexported fields
}

type AccuracyMetric struct {
	// CaseSensitive 是否区分大小写
	CaseSensitive bool
	// TrimWhitespace 是否去除首尾空白
	TrimWhitespace bool
	// UseContains 是否使用包含匹配（而非精确匹配）
	UseContains bool
}

type AggregatedJudgeResult struct {
	Results       []*JudgeResult     `json:"results"`
	AverageScore  float64            `json:"average_score"`
	ScoreStdDev   float64            `json:"score_std_dev"`
	NeedsReview   bool               `json:"needs_review"`
	ReviewReason  string             `json:"review_reason,omitempty"`
	DimensionAvgs map[string]float64 `json:"dimension_averages"`
}

type Alert struct {
	Level      AlertLevel `json:"level"`
	MetricName string     `json:"metric_name"`
	Threshold  float64    `json:"threshold"`
	Actual     float64    `json:"actual"`
	Message    string     `json:"message"`
	TaskID     string     `json:"task_id,omitempty"`
	Timestamp  time.Time  `json:"timestamp"`
}

type AlertHandler func(alert *Alert)

type AlertLevel string

type AlertThreshold struct {
	MetricName string     `json:"metric_name"`
	Operator   string     `json:"operator"` // "gt", "lt", "gte", "lte", "eq"
	Value      float64    `json:"value"`
	Level      AlertLevel `json:"level"`
	Message    string     `json:"message,omitempty"`
}

type BatchEvalReport struct {
	Reports           []*EvalReport `json:"reports"`
	AggregatedSummary EvalSummary   `json:"aggregated_summary"`
	Alerts            []Alert       `json:"alerts,omitempty"`
	Timestamp         time.Time     `json:"timestamp"`
}

type ClarityMetric struct {
	// contains filtered or unexported fields
}

type CompletenessMetric struct {
	// contains filtered or unexported fields
}

type ContainsScorer struct{}

type CostMetric struct {
	// MaxCost 最大成本，用于归一化
	// 如果设置，返回值为 max(0, 1 - cost/maxCost)
	// 如果不设置（0），直接返回成本值
	MaxCost float64
}

type DimensionScore struct {
	Score     float64 `json:"score"`
	Reasoning string  `json:"reasoning"`
}

type EvalExecutor interface {
	Execute(ctx context.Context, input string) (output string, tokens int, err error)
}

type EvalInput struct {
	Prompt    string         `json:"prompt"`
	Context   map[string]any `json:"context,omitempty"`
	Expected  string         `json:"expected,omitempty"`
	Reference string         `json:"reference,omitempty"`
}

type EvalOutput struct {
	Response   string         `json:"response"`
	TokensUsed int            `json:"tokens_used"`
	Latency    time.Duration  `json:"latency"`
	Cost       float64        `json:"cost"`
	Metadata   map[string]any `json:"metadata,omitempty"`
}

type EvalReport struct {
	SuiteID   string            `json:"suite_id"`
	SuiteName string            `json:"suite_name"`
	AgentID   string            `json:"agent_id"`
	Results   []EvalResult      `json:"results"`
	Summary   EvalSummary       `json:"summary"`
	StartTime time.Time         `json:"start_time"`
	EndTime   time.Time         `json:"end_time"`
	Duration  time.Duration     `json:"duration"`
	Metadata  map[string]string `json:"metadata,omitempty"`
}

type EvalResult struct {
	TaskID     string             `json:"task_id"`
	Success    bool               `json:"success"`
	Output     string             `json:"output"`
	Expected   string             `json:"expected,omitempty"`
	Score      float64            `json:"score"` // 0.0 - 1.0
	Metrics    map[string]float64 `json:"metrics,omitempty"`
	Error      string             `json:"error,omitempty"`
	Duration   time.Duration      `json:"duration"`
	TokensUsed int                `json:"tokens_used,omitempty"`
	Cost       float64            `json:"cost,omitempty"`
}

type EvalSuite struct {
	ID          string     `json:"id"`
	Name        string     `json:"name"`
	Description string     `json:"description"`
	Tasks       []EvalTask `json:"tasks"`
	Version     string     `json:"version"`
}

type EvalSummary struct {
	TotalTasks     int                `json:"total_tasks"`
	PassedTasks    int                `json:"passed_tasks"`
	FailedTasks    int                `json:"failed_tasks"`
	PassRate       float64            `json:"pass_rate"`
	AverageScore   float64            `json:"average_score"`
	TotalTokens    int                `json:"total_tokens"`
	TotalCost      float64            `json:"total_cost"`
	TotalDuration  time.Duration      `json:"total_duration"`
	MetricAverages map[string]float64 `json:"metric_averages,omitempty"`
	// 统计衡量标准
	ScoreStdDev float64            `json:"score_std_dev"`
	ScoreMin    float64            `json:"score_min"`
	ScoreMax    float64            `json:"score_max"`
	ScoreMedian float64            `json:"score_median"`
	Percentiles map[string]float64 `json:"percentiles,omitempty"` // p50, p90, p95, p99
}

type EvalTask struct {
	ID          string            `json:"id"`
	Name        string            `json:"name"`
	Description string            `json:"description"`
	Input       string            `json:"input"`
	Expected    string            `json:"expected,omitempty"`
	Metadata    map[string]string `json:"metadata,omitempty"`
	Tags        []string          `json:"tags,omitempty"`
	Timeout     time.Duration     `json:"timeout,omitempty"`
}

type Evaluator struct {
	// contains filtered or unexported fields
}

type EvaluatorConfig struct {
	Concurrency     int              `json:"concurrency"`
	DefaultTimeout  time.Duration    `json:"default_timeout"`
	StopOnFailure   bool             `json:"stop_on_failure"`
	RetryOnError    bool             `json:"retry_on_error"`
	MaxRetries      int              `json:"max_retries"`
	PassThreshold   float64          `json:"pass_threshold"` // Score threshold to pass
	AlertThresholds []AlertThreshold `json:"alert_thresholds,omitempty"`
	// 批量评价设置
	BatchSize      int  `json:"batch_size"`      // Number of tasks per batch
	CollectMetrics bool `json:"collect_metrics"` // Auto-collect metrics after execution
	EnableAlerts   bool `json:"enable_alerts"`   // Enable alert triggering
}

type ExactMatchScorer struct{}

type Experiment struct {
	ID          string           `json:"id"`
	Name        string           `json:"name"`
	Description string           `json:"description"`
	Variants    []Variant        `json:"variants"`
	Metrics     []string         `json:"metrics"`
	StartTime   time.Time        `json:"start_time"`
	EndTime     *time.Time       `json:"end_time,omitempty"`
	Status      ExperimentStatus `json:"status"`
}

type ExperimentResult struct {
	ExperimentID   string                    `json:"experiment_id"`
	VariantResults map[string]*VariantResult `json:"variant_results"`
	Winner         string                    `json:"winner,omitempty"`
	Confidence     float64                   `json:"confidence"`
	SampleSize     int                       `json:"sample_size"`
	Duration       time.Duration             `json:"duration"`
}

type ExperimentStatus string

type ExperimentStore interface {
	// SaveExperiment 保存实验
	SaveExperiment(ctx context.Context, exp *Experiment) error
	// LoadExperiment 加载实验
	LoadExperiment(ctx context.Context, id string) (*Experiment, error)
	// ListExperiments 列出所有实验
	ListExperiments(ctx context.Context) ([]*Experiment, error)
	// DeleteExperiment 删除实验
	DeleteExperiment(ctx context.Context, id string) error
	// RecordAssignment 记录分配
	RecordAssignment(ctx context.Context, experimentID, userID, variantID string) error
	// GetAssignment 获取用户分配
	GetAssignment(ctx context.Context, experimentID, userID string) (string, error)
	// RecordResult 记录结果
	RecordResult(ctx context.Context, experimentID, variantID string, result *EvalResult) error
	// GetResults 获取实验结果
	GetResults(ctx context.Context, experimentID string) (map[string][]*EvalResult, error)
}

type InputOutputPair struct {
	Input  *EvalInput
	Output *EvalOutput
}

type JSONScorer struct{}

type JudgeDimension struct {
	Name        string  `json:"name"`
	Description string  `json:"description"`
	Weight      float64 `json:"weight"`
}

type JudgeResult struct {
	OverallScore float64                   `json:"overall_score"`
	Dimensions   map[string]DimensionScore `json:"dimensions"`
	Reasoning    string                    `json:"reasoning"`
	Confidence   float64                   `json:"confidence"`
	// 其他元数据
	Model     string    `json:"model,omitempty"`
	Timestamp time.Time `json:"timestamp"`
}

type LLMJudge struct {
	// contains filtered or unexported fields
}

type LLMJudgeConfig struct {
	Model            string           `json:"model"`
	Dimensions       []JudgeDimension `json:"dimensions"`
	PromptTemplate   string           `json:"prompt_template"`
	ScoreRange       [2]float64       `json:"score_range"` // [min, max]
	RequireReasoning bool             `json:"require_reasoning"`
	// 每个法官拨打的超时
	Timeout time.Duration `json:"timeout,omitempty"`
	// 批量判断的最大货币
	MaxConcurrency int `json:"max_concurrency,omitempty"`
}

type LatencyMetric struct {
	// ThresholdMs 延迟阈值（毫秒），用于归一化
	// 如果设置，返回值为 max(0, 1 - latency/threshold)
	// 如果不设置（0），直接返回毫秒数
	ThresholdMs float64
}

type MemoryExperimentStore struct {
	// contains filtered or unexported fields
}

type Metric interface {
	// Name 指标名称
	Name() string
	// Compute 计算指标值
	Compute(ctx context.Context, input *EvalInput, output *EvalOutput) (float64, error)
}

type MetricEvalResult struct {
	InputID   string             `json:"input_id"`
	Metrics   map[string]float64 `json:"metrics"`
	Passed    bool               `json:"passed"`
	Errors    []string           `json:"errors,omitempty"`
	Timestamp time.Time          `json:"timestamp"`
}

type MetricRegistry struct {
	// contains filtered or unexported fields
}

type NoveltyMetric struct {
	// contains filtered or unexported fields
}

type ResearchDimension string

type ResearchEvalConfig struct {
	// 尺寸权重( 一定和 1. 0)
	Weights map[ResearchDimension]float64 `json:"weights"`

	// 评价设置
	UseLLMJudge   bool          `json:"use_llm_judge"`  // Use LLM as judge
	NumJudges     int           `json:"num_judges"`     // Number of LLM judges (for voting)
	JudgeModel    string        `json:"judge_model"`    // Model for LLM judge
	Timeout       time.Duration `json:"timeout"`        // Per-evaluation timeout
	PassThreshold float64       `json:"pass_threshold"` // Minimum score to pass (0-1)

	// 基于参考的评价
	UseReferences bool `json:"use_references"` // Compare against reference papers
	MaxReferences int  `json:"max_references"` // Maximum reference papers to compare
}

type ResearchEvalResult struct {
	OverallScore    float64                       `json:"overall_score"`    // 综合得分 (0-1)
	DimensionScores map[ResearchDimension]float64 `json:"dimension_scores"` // 各维度得分
	Passed          bool                          `json:"passed"`           // 是否通过
	Feedback        map[ResearchDimension]string  `json:"feedback"`         // 各维度反馈
	Strengths       []string                      `json:"strengths"`        // 优势
	Weaknesses      []string                      `json:"weaknesses"`       // 不足
	Suggestions     []string                      `json:"suggestions"`      // 改进建议
	EvaluatedAt     time.Time                     `json:"evaluated_at"`
	Duration        time.Duration                 `json:"duration"`
}

type ResearchEvaluator struct {
	// contains filtered or unexported fields
}

type RigorMetric struct {
	// contains filtered or unexported fields
}

type Scorer interface {
	Score(ctx context.Context, task *EvalTask, output string) (float64, map[string]float64, error)
}

type StatisticalReport struct {
	ExperimentID     string                    `json:"experiment_id"`
	ExperimentName   string                    `json:"experiment_name"`
	Status           ExperimentStatus          `json:"status"`
	Duration         time.Duration             `json:"duration"`
	TotalSamples     int                       `json:"total_samples"`
	VariantReports   map[string]*VariantReport `json:"variant_reports"`
	Comparisons      []*VariantComparison      `json:"comparisons"`
	Winner           string                    `json:"winner,omitempty"`
	WinnerConfidence float64                   `json:"winner_confidence,omitempty"`
	Recommendation   string                    `json:"recommendation"`
	GeneratedAt      time.Time                 `json:"generated_at"`
}

type TokenUsageMetric struct {
	// MaxTokens 最大 Token 数，用于归一化
	// 如果设置，返回值为 max(0, 1 - tokens/maxTokens)
	// 如果不设置（0），直接返回 Token 数
	MaxTokens int
}

type Variant struct {
	ID        string         `json:"id"`
	Name      string         `json:"name"`
	Config    map[string]any `json:"config"`
	Weight    float64        `json:"weight"` // 流量权重
	IsControl bool           `json:"is_control"`
}

type VariantComparison struct {
	ControlID      string             `json:"control_id"`
	TreatmentID    string             `json:"treatment_id"`
	MetricDeltas   map[string]float64 `json:"metric_deltas"`   // treatment - control
	RelativeChange map[string]float64 `json:"relative_change"` // percentage change
	PValues        map[string]float64 `json:"p_values"`
	Confidence     map[string]float64 `json:"confidence"`
	Significant    map[string]bool    `json:"significant"` // at 95% level
}

type VariantReport struct {
	VariantID    string                `json:"variant_id"`
	VariantName  string                `json:"variant_name"`
	IsControl    bool                  `json:"is_control"`
	SampleCount  int                   `json:"sample_count"`
	Metrics      map[string]float64    `json:"metrics"`
	StdDev       map[string]float64    `json:"std_dev"`
	ConfInterval map[string][2]float64 `json:"confidence_interval"` // 95% CI
}

type VariantResult struct {
	VariantID   string             `json:"variant_id"`
	SampleCount int                `json:"sample_count"`
	Metrics     map[string]float64 `json:"metrics"`
	StdDev      map[string]float64 `json:"std_dev"`
	// contains filtered or unexported fields
}