package gemini

import (
	"io"
	"net/http"
	"one-api/common"
	"one-api/dto"
	relaycommon "one-api/relay/common"
	"one-api/relay/helper"
	"one-api/service"
	"one-api/types"
	"strings"

	"github.com/pkg/errors"

	"github.com/gin-gonic/gin"
)

func GeminiTextGenerationHandler(c *gin.Context, info *relaycommon.RelayInfo, resp *http.Response) (*dto.Usage, *types.NewAPIError) {
	defer common.CloseResponseBodyGracefully(resp)

	// 读取响应体
	responseBody, err := io.ReadAll(resp.Body)
	if err != nil {
		return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
	}

	if common.DebugEnabled {
		println(string(responseBody))
	}

	// 解析为 Gemini 原生响应格式
	var geminiResponse dto.GeminiChatResponse
	err = common.Unmarshal(responseBody, &geminiResponse)
	if err != nil {
		return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
	}

	// 计算使用量（基于 UsageMetadata）
	usage := dto.Usage{
		PromptTokens:     geminiResponse.UsageMetadata.PromptTokenCount,
		CompletionTokens: geminiResponse.UsageMetadata.CandidatesTokenCount + geminiResponse.UsageMetadata.ThoughtsTokenCount,
		TotalTokens:      geminiResponse.UsageMetadata.TotalTokenCount,
	}

	usage.CompletionTokenDetails.ReasoningTokens = geminiResponse.UsageMetadata.ThoughtsTokenCount

	for _, detail := range geminiResponse.UsageMetadata.PromptTokensDetails {
		if detail.Modality == "AUDIO" {
			usage.PromptTokensDetails.AudioTokens = detail.TokenCount
		} else if detail.Modality == "TEXT" {
			usage.PromptTokensDetails.TextTokens = detail.TokenCount
		}
	}

	// 直接返回 Gemini 原生格式的 JSON 响应
	jsonResponse, err := common.Marshal(geminiResponse)
	if err != nil {
		return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
	}

	common.IOCopyBytesGracefully(c, resp, jsonResponse)

	return &usage, nil
}

func NativeGeminiEmbeddingHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (*dto.Usage, *types.NewAPIError) {
	defer common.CloseResponseBodyGracefully(resp)

	responseBody, err := io.ReadAll(resp.Body)
	if err != nil {
		return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
	}

	if common.DebugEnabled {
		println(string(responseBody))
	}

	usage := &dto.Usage{
		PromptTokens: info.PromptTokens,
		TotalTokens:  info.PromptTokens,
	}

	if info.IsGeminiBatchEmbedding {
		var geminiResponse dto.GeminiBatchEmbeddingResponse
		err = common.Unmarshal(responseBody, &geminiResponse)
		if err != nil {
			return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
		}
	} else {
		var geminiResponse dto.GeminiEmbeddingResponse
		err = common.Unmarshal(responseBody, &geminiResponse)
		if err != nil {
			return nil, types.NewOpenAIError(err, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
		}
	}

	common.IOCopyBytesGracefully(c, resp, responseBody)

	return usage, nil
}

func GeminiTextGenerationStreamHandler(c *gin.Context, info *relaycommon.RelayInfo, resp *http.Response) (*dto.Usage, *types.NewAPIError) {
	var usage = &dto.Usage{}
	var imageCount int

	helper.SetEventStreamHeaders(c)

	responseText := strings.Builder{}

	helper.StreamScannerHandler(c, resp, info, func(data string) bool {
		var geminiResponse dto.GeminiChatResponse
		err := common.UnmarshalJsonStr(data, &geminiResponse)
		if err != nil {
			common.LogError(c, "error unmarshalling stream response: "+err.Error())
			return false
		}

		// 统计图片数量
		for _, candidate := range geminiResponse.Candidates {
			for _, part := range candidate.Content.Parts {
				if part.InlineData != nil && part.InlineData.MimeType != "" {
					imageCount++
				}
				if part.Text != "" {
					responseText.WriteString(part.Text)
				}
			}
		}

		// 更新使用量统计
		if geminiResponse.UsageMetadata.TotalTokenCount != 0 {
			usage.PromptTokens = geminiResponse.UsageMetadata.PromptTokenCount
			usage.CompletionTokens = geminiResponse.UsageMetadata.CandidatesTokenCount + geminiResponse.UsageMetadata.ThoughtsTokenCount
			usage.TotalTokens = geminiResponse.UsageMetadata.TotalTokenCount
			usage.CompletionTokenDetails.ReasoningTokens = geminiResponse.UsageMetadata.ThoughtsTokenCount
			for _, detail := range geminiResponse.UsageMetadata.PromptTokensDetails {
				if detail.Modality == "AUDIO" {
					usage.PromptTokensDetails.AudioTokens = detail.TokenCount
				} else if detail.Modality == "TEXT" {
					usage.PromptTokensDetails.TextTokens = detail.TokenCount
				}
			}
		}

		// 直接发送 GeminiChatResponse 响应
		err = helper.StringData(c, data)
		if err != nil {
			common.LogError(c, err.Error())
		}
		info.SendResponseCount++
		return true
	})

	if info.SendResponseCount == 0 {
		return nil, types.NewOpenAIError(errors.New("no response received from Gemini API"), types.ErrorCodeEmptyResponse, http.StatusInternalServerError)
	}

	if imageCount != 0 {
		if usage.CompletionTokens == 0 {
			usage.CompletionTokens = imageCount * 258
		}
	}

	// 如果usage.CompletionTokens为0，则使用本地统计的completion tokens
	if usage.CompletionTokens == 0 {
		str := responseText.String()
		if len(str) > 0 {
			usage = service.ResponseText2Usage(responseText.String(), info.UpstreamModelName, info.PromptTokens)
		} else {
			// 空补全，不需要使用量
			usage = &dto.Usage{}
		}
	}

	// 移除流式响应结尾的[Done]，因为Gemini API没有发送Done的行为
	//helper.Done(c)

	return usage, nil
}
