mirror of
https://github.com/linux-do/new-api.git
synced 2025-11-12 00:53:41 +08:00
feat: 日志优化逻辑,新增请求时间和是否为stream字段
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@@ -12,6 +12,7 @@ import (
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"one-api/common"
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"one-api/model"
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"strings"
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"time"
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)
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var availableVoices = []string{
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@@ -24,12 +25,12 @@ var availableVoices = []string{
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}
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func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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tokenId := c.GetInt("token_id")
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channelType := c.GetInt("channel")
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channelId := c.GetInt("channel_id")
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userId := c.GetInt("id")
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group := c.GetString("group")
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startTime := time.Now()
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var audioRequest AudioRequest
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if !strings.HasPrefix(c.Request.URL.Path, "/v1/audio/transcriptions") {
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@@ -154,6 +155,7 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
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defer func(ctx context.Context) {
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go func() {
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useTimeSeconds := time.Now().Unix() - startTime.Unix()
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quota := 0
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var promptTokens = 0
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if strings.HasPrefix(audioRequest.Model, "tts-1") {
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@@ -178,7 +180,7 @@ func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
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if quota != 0 {
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tokenName := c.GetString("token_name")
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logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
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model.RecordConsumeLog(ctx, userId, channelId, promptTokens, 0, audioRequest.Model, tokenName, quota, logContent, tokenId, userQuota)
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model.RecordConsumeLog(ctx, userId, channelId, promptTokens, 0, audioRequest.Model, tokenName, quota, logContent, tokenId, userQuota, int(useTimeSeconds), false)
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model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
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channelId := c.GetInt("channel_id")
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model.UpdateChannelUsedQuota(channelId, quota)
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@@ -12,6 +12,7 @@ import (
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"one-api/common"
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"one-api/model"
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"strings"
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"time"
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)
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func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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@@ -21,6 +22,7 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
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userId := c.GetInt("id")
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consumeQuota := c.GetBool("consume_quota")
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group := c.GetString("group")
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startTime := time.Now()
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var imageRequest ImageRequest
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if consumeQuota {
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@@ -169,6 +171,7 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
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var textResponse ImageResponse
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defer func(ctx context.Context) {
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useTimeSeconds := time.Now().Unix() - startTime.Unix()
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if consumeQuota {
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if resp.StatusCode != http.StatusOK {
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return
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@@ -184,7 +187,7 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
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if quota != 0 {
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tokenName := c.GetString("token_name")
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logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
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model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageRequest.Model, tokenName, quota, logContent, tokenId, userQuota)
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model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageRequest.Model, tokenName, quota, logContent, tokenId, userQuota, int(useTimeSeconds), false)
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model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
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channelId := c.GetInt("channel_id")
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model.UpdateChannelUsedQuota(channelId, quota)
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@@ -478,7 +478,7 @@ func relayMidjourneySubmit(c *gin.Context, relayMode int) *MidjourneyResponse {
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if quota != 0 {
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tokenName := c.GetString("token_name")
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logContent := fmt.Sprintf("模型固定价格 %.2f,分组倍率 %.2f,操作 %s", modelPrice, groupRatio, midjRequest.Action)
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model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageModel, tokenName, quota, logContent, tokenId, userQuota)
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model.RecordConsumeLog(ctx, userId, channelId, 0, 0, imageModel, tokenName, quota, logContent, tokenId, userQuota, 0, false)
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model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
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channelId := c.GetInt("channel_id")
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model.UpdateChannelUsedQuota(channelId, quota)
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@@ -508,9 +508,9 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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useTimeSeconds := time.Now().Unix() - startTime.Unix()
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var logContent string
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if modelPrice == -1 {
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logContent = fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f,用时 %d秒", modelRatio, groupRatio, useTimeSeconds)
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logContent = fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
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} else {
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logContent = fmt.Sprintf("模型价格 %.2f,分组倍率 %.2f,用时 %d秒", modelPrice, groupRatio, useTimeSeconds)
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logContent = fmt.Sprintf("模型价格 %.2f,分组倍率 %.2f", modelPrice, groupRatio)
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}
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logModel := textRequest.Model
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if strings.HasPrefix(logModel, "gpt-4-gizmo") {
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@@ -518,7 +518,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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logContent += fmt.Sprintf(",模型 %s", textRequest.Model)
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}
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model.RecordConsumeLog(ctx, userId, channelId, promptTokens, completionTokens, logModel, tokenName, quota, logContent, tokenId, userQuota)
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model.RecordConsumeLog(ctx, userId, channelId, promptTokens, completionTokens, logModel, tokenName, quota, logContent, tokenId, userQuota, int(useTimeSeconds), isStream)
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model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
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model.UpdateChannelUsedQuota(channelId, quota)
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//if quota != 0 {
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