feat: 算力引擎 Go 后端核心（new-api）

- 统一 OpenAI 兼容 /v1 中继 + 渠道/额度/令牌/流水
- 各领域包：relay 模型网关、model 数据层、controller 管理 API

model/perf_metric.go

@@ -0,0 +1,130 @@
+package model
+
+import (
+	"time"
+
+	"gorm.io/gorm"
+	"gorm.io/gorm/clause"
+)
+
+// PerfMetric stores aggregated relay performance metrics for the model square.
+type PerfMetric struct {
+	Id             int    `json:"id" gorm:"primaryKey"`
+	ModelName      string `json:"model_name" gorm:"size:128;uniqueIndex:idx_perf_model_group_bucket,priority:1"`
+	Group          string `json:"group" gorm:"column:group;size:64;uniqueIndex:idx_perf_model_group_bucket,priority:2"`
+	BucketTs       int64  `json:"bucket_ts" gorm:"uniqueIndex:idx_perf_model_group_bucket,priority:3;index:idx_perf_bucket_ts"`
+	RequestCount   int64  `json:"-" gorm:"default:0"`
+	SuccessCount   int64  `json:"-" gorm:"default:0"`
+	TotalLatencyMs int64  `json:"-" gorm:"default:0"`
+	TtftSumMs      int64  `json:"-" gorm:"default:0"`
+	TtftCount      int64  `json:"-" gorm:"default:0"`
+	OutputTokens   int64  `json:"-" gorm:"default:0"`
+	GenerationMs   int64  `json:"-" gorm:"default:0"`
+}
+
+func (PerfMetric) TableName() string {
+	return "perf_metrics"
+}
+
+func UpsertPerfMetric(metric *PerfMetric) error {
+	if metric == nil || metric.RequestCount == 0 {
+		return nil
+	}
+	return DB.Clauses(clause.OnConflict{
+		Columns: []clause.Column{
+			{Name: "model_name"},
+			{Name: "group"},
+			{Name: "bucket_ts"},
+		},
+		DoUpdates: clause.Assignments(map[string]interface{}{
+			"request_count":    gorm.Expr("perf_metrics.request_count + ?", metric.RequestCount),
+			"success_count":    gorm.Expr("perf_metrics.success_count + ?", metric.SuccessCount),
+			"total_latency_ms": gorm.Expr("perf_metrics.total_latency_ms + ?", metric.TotalLatencyMs),
+			"ttft_sum_ms":      gorm.Expr("perf_metrics.ttft_sum_ms + ?", metric.TtftSumMs),
+			"ttft_count":       gorm.Expr("perf_metrics.ttft_count + ?", metric.TtftCount),
+			"output_tokens":    gorm.Expr("perf_metrics.output_tokens + ?", metric.OutputTokens),
+			"generation_ms":    gorm.Expr("perf_metrics.generation_ms + ?", metric.GenerationMs),
+		}),
+	}).Create(metric).Error
+}
+
+func GetPerfMetrics(modelName string, group string, startTs int64, endTs int64) ([]PerfMetric, error) {
+	var metrics []PerfMetric
+	query := DB.Model(&PerfMetric{}).
+		Where("model_name = ? AND bucket_ts >= ? AND bucket_ts <= ?", modelName, startTs, endTs)
+	if group != "" {
+		query = query.Where(commonGroupCol+" = ?", group)
+	}
+	err := query.Order("bucket_ts ASC").Find(&metrics).Error
+	return metrics, err
+}
+
+type PerfMetricSummary struct {
+	ModelName      string `json:"model_name"`
+	RequestCount   int64  `json:"request_count"`
+	SuccessCount   int64  `json:"success_count"`
+	TotalLatencyMs int64  `json:"total_latency_ms"`
+	OutputTokens   int64  `json:"output_tokens"`
+	GenerationMs   int64  `json:"generation_ms"`
+}
+
+type PerfMetricSummaryBucket struct {
+	ModelName      string `json:"model_name"`
+	BucketTs       int64  `json:"bucket_ts"`
+	RequestCount   int64  `json:"request_count"`
+	SuccessCount   int64  `json:"success_count"`
+	TotalLatencyMs int64  `json:"total_latency_ms"`
+	OutputTokens   int64  `json:"output_tokens"`
+	GenerationMs   int64  `json:"generation_ms"`
+}
+
+func GetPerfMetricsSummaryAll(startTs int64, endTs int64, groups []string) ([]PerfMetricSummary, error) {
+	var summaries []PerfMetricSummary
+	query := DB.Model(&PerfMetric{}).
+		Select("model_name, SUM(request_count) as request_count, SUM(success_count) as success_count, SUM(total_latency_ms) as total_latency_ms, SUM(output_tokens) as output_tokens, SUM(generation_ms) as generation_ms").
+		Where("bucket_ts >= ? AND bucket_ts <= ?", startTs, endTs)
+	if groups != nil {
+		if len(groups) == 0 {
+			return summaries, nil
+		}
+		query = query.Where(commonGroupCol+" IN ?", groups)
+	}
+	err := query.
+		Group("model_name").
+		Having("SUM(request_count) > 0").
+		Find(&summaries).Error
+	return summaries, err
+}
+
+func GetPerfMetricsSummaryBucketsAll(startTs int64, endTs int64, groups []string) ([]PerfMetricSummaryBucket, error) {
+	var summaries []PerfMetricSummaryBucket
+	query := DB.Model(&PerfMetric{}).
+		Select("model_name, bucket_ts, SUM(request_count) as request_count, SUM(success_count) as success_count, SUM(total_latency_ms) as total_latency_ms, SUM(output_tokens) as output_tokens, SUM(generation_ms) as generation_ms").
+		Where("bucket_ts >= ? AND bucket_ts <= ?", startTs, endTs)
+	if groups != nil {
+		if len(groups) == 0 {
+			return summaries, nil
+		}
+		query = query.Where(commonGroupCol+" IN ?", groups)
+	}
+	err := query.
+		Group("model_name, bucket_ts").
+		Having("SUM(request_count) > 0").
+		Order("bucket_ts ASC").
+		Find(&summaries).Error
+	return summaries, err
+}
+
+func DeletePerfMetricsBefore(cutoffTs int64) error {
+	if cutoffTs <= 0 {
+		return nil
+	}
+	return DB.Where("bucket_ts < ?", cutoffTs).Delete(&PerfMetric{}).Error
+}
+
+func PerfMetricStartTime(hours int) int64 {
+	if hours <= 0 {
+		hours = 24
+	}
+	return time.Now().Add(-time.Duration(hours) * time.Hour).Unix()
+}