package controller

import (
	"bufio"
	"bytes"
	"context"
	"encoding/json"
	"errors"
	"fmt"
	"io"
	"mime/multipart"
	"net/http"
	"strings"

	"github.com/gin-gonic/gin"
	"github.com/songquanpeng/one-api/common"
	"github.com/songquanpeng/one-api/common/client"
	"github.com/songquanpeng/one-api/common/config"
	"github.com/songquanpeng/one-api/common/ctxkey"
	"github.com/songquanpeng/one-api/common/logger"
	"github.com/songquanpeng/one-api/model"
	"github.com/songquanpeng/one-api/relay/adaptor/openai"
	"github.com/songquanpeng/one-api/relay/billing"
	billingratio "github.com/songquanpeng/one-api/relay/billing/ratio"
	"github.com/songquanpeng/one-api/relay/channeltype"
	"github.com/songquanpeng/one-api/relay/meta"
	relaymodel "github.com/songquanpeng/one-api/relay/model"
	"github.com/songquanpeng/one-api/relay/relaymode"
)

func RelayAudioHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatusCode {
	ctx := c.Request.Context()
	meta := meta.GetByContext(c)
	audioModel := "gpt-4o-transcribe"
	tokenId := c.GetInt(ctxkey.TokenId)
	channelType := c.GetInt(ctxkey.Channel)
	channelId := c.GetInt(ctxkey.ChannelId)
	userId := c.GetInt(ctxkey.Id)
	group := c.GetString(ctxkey.Group)
	tokenName := c.GetString(ctxkey.TokenName)

	var ttsRequest openai.TextToSpeechRequest
	if relayMode == relaymode.AudioSpeech {
		// Read JSON
		err := common.UnmarshalBodyReusable(c, &ttsRequest)
		// Check if JSON is valid
		if err != nil {
			return openai.ErrorWrapper(err, "invalid_json", http.StatusBadRequest)
		}
		audioModel = ttsRequest.Model
		// Check if text is too long 4096
		if len(ttsRequest.Input) > 4096 {
			return openai.ErrorWrapper(errors.New("input is too long (over 4096 characters)"), "text_too_long", http.StatusBadRequest)
		}
	}

	modelRatio := billingratio.GetModelRatio(audioModel, channelType)
	groupRatio := billingratio.GetGroupRatio(group)
	ratio := modelRatio * groupRatio
	var quota int64
	var preConsumedQuota int64
	switch relayMode {
	case relaymode.AudioSpeech:
		preConsumedQuota = int64(float64(len(ttsRequest.Input)) * ratio)
		quota = preConsumedQuota
	default:
		preConsumedQuota = int64(float64(config.PreConsumedQuota) * ratio)
	}
	userQuota, err := model.CacheGetUserQuota(ctx, userId)
	if err != nil {
		return openai.ErrorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
	}

	// Check if user quota is enough
	if userQuota-preConsumedQuota < 0 {
		return openai.ErrorWrapper(errors.New("user quota is not enough"), "insufficient_user_quota", http.StatusForbidden)
	}
	err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
	if err != nil {
		return openai.ErrorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
	}
	if userQuota > 100*preConsumedQuota {
		// in this case, we do not pre-consume quota
		// because the user has enough quota
		preConsumedQuota = 0
	}
	if preConsumedQuota > 0 {
		err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
		if err != nil {
			return openai.ErrorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
		}
	}
	succeed := false
	defer func() {
		if succeed {
			return
		}
		if preConsumedQuota > 0 {
			// we need to roll back the pre-consumed quota
			defer func(ctx context.Context) {
				go func() {
					// negative means add quota back for token & user
					err := model.PostConsumeTokenQuota(tokenId, -preConsumedQuota)
					if err != nil {
						logger.Error(ctx, fmt.Sprintf("error rollback pre-consumed quota: %s", err.Error()))
					}
				}()
			}(c.Request.Context())
		}
	}()

	// map model name
	modelMapping := c.GetStringMapString(ctxkey.ModelMapping)
	if modelMapping != nil && modelMapping[audioModel] != "" {
		audioModel = modelMapping[audioModel]
	}

	baseURL := channeltype.ChannelBaseURLs[channelType]
	requestURL := c.Request.URL.String()
	if c.GetString(ctxkey.BaseURL) != "" {
		baseURL = c.GetString(ctxkey.BaseURL)
	}

	fullRequestURL := openai.GetFullRequestURL(baseURL, requestURL, channelType)
	if channelType == channeltype.Azure {
		apiVersion := meta.Config.APIVersion
		deploymentName := c.GetString(ctxkey.ChannelName)
		if relayMode == relaymode.AudioTranscription {
			// https://learn.microsoft.com/en-us/azure/ai-services/openai/whisper-quickstart?tabs=command-line#rest-api
			fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/audio/transcriptions?api-version=%s", baseURL, deploymentName, apiVersion)
		} else if relayMode == relaymode.AudioSpeech {
			// https://learn.microsoft.com/en-us/azure/ai-services/openai/text-to-speech-quickstart?tabs=command-line#rest-api
			fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/audio/speech?api-version=%s", baseURL, deploymentName, apiVersion)
		}
	}

	requestBody := &bytes.Buffer{}
	_, err = io.Copy(requestBody, c.Request.Body)
	if err != nil {
		return openai.ErrorWrapper(err, "new_request_body_failed", http.StatusInternalServerError)
	}

	// 处理表单数据
	contentType := c.Request.Header.Get("Content-Type")
	responseFormat := "json"
	var contentTypeWithBoundary string

	if strings.Contains(contentType, "multipart/form-data") {
		originalBody := requestBody.Bytes()
		c.Request.Body = io.NopCloser(bytes.NewBuffer(originalBody))
		err = c.Request.ParseMultipartForm(32 << 20) // 32MB 最大内存
		if err != nil {
			return openai.ErrorWrapper(err, "parse_multipart_form_failed", http.StatusInternalServerError)
		}

		// 获取响应格式
		if format := c.Request.FormValue("response_format"); format != "" {
			responseFormat = format
		}

		requestBody = &bytes.Buffer{}
		writer := multipart.NewWriter(requestBody)

		// 复制表单字段
		for key, values := range c.Request.MultipartForm.Value {
			for _, value := range values {
				err = writer.WriteField(key, value)
				if err != nil {
					return openai.ErrorWrapper(err, "write_field_failed", http.StatusInternalServerError)
				}
			}
		}

		// 复制文件
		for key, fileHeaders := range c.Request.MultipartForm.File {
			for _, fileHeader := range fileHeaders {
				file, err := fileHeader.Open()
				if err != nil {
					return openai.ErrorWrapper(err, "open_file_failed", http.StatusInternalServerError)
				}

				part, err := writer.CreateFormFile(key, fileHeader.Filename)
				if err != nil {
					file.Close()
					return openai.ErrorWrapper(err, "create_form_file_failed", http.StatusInternalServerError)
				}

				_, err = io.Copy(part, file)
				file.Close()
				if err != nil {
					return openai.ErrorWrapper(err, "copy_file_failed", http.StatusInternalServerError)
				}
			}
		}

		// 完成multipart写入
		err = writer.Close()
		if err != nil {
			return openai.ErrorWrapper(err, "close_writer_failed", http.StatusInternalServerError)
		}

		// 更新Content-Type
		contentTypeWithBoundary = writer.FormDataContentType()
		c.Request.Header.Set("Content-Type", contentTypeWithBoundary)
	} else {
		// 对于非表单请求，直接重置请求体
		c.Request.Body = io.NopCloser(bytes.NewBuffer(requestBody.Bytes()))
	}

	req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
	if err != nil {
		return openai.ErrorWrapper(err, "new_request_failed", http.StatusInternalServerError)
	}

	if (relayMode == relaymode.AudioTranscription || relayMode == relaymode.AudioSpeech) && channelType == channeltype.Azure {
		// https://learn.microsoft.com/en-us/azure/ai-services/openai/whisper-quickstart?tabs=command-line#rest-api
		apiKey := c.Request.Header.Get("Authorization")
		apiKey = strings.TrimPrefix(apiKey, "Bearer ")
		req.Header.Set("api-key", apiKey)
		// 确保请求体大小与Content-Length一致
		req.ContentLength = int64(requestBody.Len())
	} else {
		req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
		// 确保请求体大小与Content-Length一致
		req.ContentLength = int64(requestBody.Len())
	}

	// 确保Content-Type正确传递
	if strings.Contains(contentType, "multipart/form-data") && c.Request.MultipartForm != nil {
		// 对于multipart请求，使用我们重建时生成的Content-Type
		// 注意：此处必须使用writer生成的boundary
		if contentTypeWithBoundary != "" {
			req.Header.Set("Content-Type", contentTypeWithBoundary)
		} else {
			req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
		}
	} else {
		req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
	}
	req.Header.Set("Accept", c.Request.Header.Get("Accept"))

	resp, err := client.HTTPClient.Do(req)
	if err != nil {
		return openai.ErrorWrapper(err, "do_request_failed", http.StatusInternalServerError)
	}

	err = req.Body.Close()
	if err != nil {
		return openai.ErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
	}
	err = c.Request.Body.Close()
	if err != nil {
		return openai.ErrorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
	}

	if relayMode != relaymode.AudioSpeech {
		responseBody, err := io.ReadAll(resp.Body)
		if err != nil {
			return openai.ErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
		}
		err = resp.Body.Close()
		if err != nil {
			return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
		}

		var openAIErr openai.SlimTextResponse
		if err = json.Unmarshal(responseBody, &openAIErr); err == nil {
			if openAIErr.Error.Message != "" {
				return openai.ErrorWrapper(fmt.Errorf("type %s, code %v, message %s", openAIErr.Error.Type, openAIErr.Error.Code, openAIErr.Error.Message), "request_error", http.StatusInternalServerError)
			}
		}

		var text string
		switch responseFormat {
		case "json":
			text, err = getTextFromJSON(responseBody)
		case "text":
			text, err = getTextFromText(responseBody)
		case "srt":
			text, err = getTextFromSRT(responseBody)
		case "verbose_json":
			text, err = getTextFromVerboseJSON(responseBody)
		case "vtt":
			text, err = getTextFromVTT(responseBody)
		default:
			return openai.ErrorWrapper(errors.New("unexpected_response_format"), "unexpected_response_format", http.StatusInternalServerError)
		}
		if err != nil {
			return openai.ErrorWrapper(err, "get_text_from_body_err", http.StatusInternalServerError)
		}
		quota = int64(openai.CountTokenText(text, audioModel))
		resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
	}
	if resp.StatusCode != http.StatusOK {
		return RelayErrorHandler(resp)
	}
	succeed = true
	quotaDelta := quota - preConsumedQuota
	defer func(ctx context.Context) {
		go billing.PostConsumeQuota(ctx, tokenId, quotaDelta, quota, userId, channelId, modelRatio, groupRatio, audioModel, tokenName)
	}(c.Request.Context())

	for k, v := range resp.Header {
		c.Writer.Header().Set(k, v[0])
	}
	c.Writer.WriteHeader(resp.StatusCode)

	_, err = io.Copy(c.Writer, resp.Body)
	if err != nil {
		return openai.ErrorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
	}
	err = resp.Body.Close()
	if err != nil {
		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
	}
	return nil
}

func getTextFromVTT(body []byte) (string, error) {
	return getTextFromSRT(body)
}

func getTextFromVerboseJSON(body []byte) (string, error) {
	var whisperResponse openai.WhisperVerboseJSONResponse
	if err := json.Unmarshal(body, &whisperResponse); err != nil {
		return "", fmt.Errorf("unmarshal_response_body_failed err :%w", err)
	}
	return whisperResponse.Text, nil
}

func getTextFromSRT(body []byte) (string, error) {
	scanner := bufio.NewScanner(strings.NewReader(string(body)))
	var builder strings.Builder
	var textLine bool
	for scanner.Scan() {
		line := scanner.Text()
		if textLine {
			builder.WriteString(line)
			textLine = false
			continue
		} else if strings.Contains(line, "-->") {
			textLine = true
			continue
		}
	}
	if err := scanner.Err(); err != nil {
		return "", err
	}
	return builder.String(), nil
}

func getTextFromText(body []byte) (string, error) {
	return strings.TrimSuffix(string(body), "\n"), nil
}

func getTextFromJSON(body []byte) (string, error) {
	var whisperResponse openai.WhisperJSONResponse
	if err := json.Unmarshal(body, &whisperResponse); err != nil {
		return "", fmt.Errorf("unmarshal_response_body_failed err :%w", err)
	}
	return whisperResponse.Text, nil
}