package relay

import (
	"bytes"
	"encoding/json"
	"errors"
	"fmt"
	"net/http"
	"one-api/common"
	"one-api/dto"
	relaycommon "one-api/relay/common"
	"one-api/relay/helper"
	"one-api/service"
	"one-api/setting"
	"strings"

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

func getAndValidateGeminiRequest(c *gin.Context) (*dto.GeminiTextGenerationRequest, error) {
	request := &dto.GeminiTextGenerationRequest{}
	err := common.UnmarshalBodyReusable(c, request)
	if err != nil {
		return nil, err
	}
	if len(request.Contents) == 0 {
		return nil, errors.New("contents is required")
	}
	return request, nil
}

func checkGeminiInputSensitive(textRequest *dto.GeminiTextGenerationRequest, info *relaycommon.RelayInfo) ([]string, error) {
	var inputTexts []string
	for _, content := range textRequest.Contents {
		for _, part := range content.Parts {
			if part.Text != "" {
				inputTexts = append(inputTexts, part.Text)
			}
		}
	}
	if len(inputTexts) == 0 {
		return nil, nil
	}

	sensitiveWords, err := service.CheckSensitiveInput(inputTexts)
	return sensitiveWords, err
}

func getGeminiInputTokens(req *dto.GeminiTextGenerationRequest, info *relaycommon.RelayInfo) (int, error) {
	// 计算输入 token 数量
	var inputTexts []string
	for _, content := range req.Contents {
		for _, part := range content.Parts {
			if part.Text != "" {
				inputTexts = append(inputTexts, part.Text)
			}
		}
	}

	inputText := strings.Join(inputTexts, "\n")
	inputTokens, err := service.CountTokenInput(inputText, info.UpstreamModelName)
	info.PromptTokens = inputTokens
	return inputTokens, err
}

func GeminiHelper(c *gin.Context) (openaiErr *dto.OpenAIErrorWithStatusCode) {
	req, err := getAndValidateGeminiRequest(c)
	if err != nil {
		common.LogError(c, fmt.Sprintf("getAndValidateGeminiRequest error: %s", err.Error()))
		return service.OpenAIErrorWrapperLocal(err, "invalid_gemini_request", http.StatusBadRequest)
	}

	relayInfo := relaycommon.GenRelayInfo(c)

	if setting.ShouldCheckPromptSensitive() {
		sensitiveWords, err := checkGeminiInputSensitive(req, relayInfo)
		if err != nil {
			common.LogWarn(c, fmt.Sprintf("user sensitive words detected: %s", strings.Join(sensitiveWords, ", ")))
			return service.OpenAIErrorWrapperLocal(err, "check_request_sensitive_error", http.StatusBadRequest)
		}
	}

	// model mapped 模型映射
	err = helper.ModelMappedHelper(c, relayInfo)
	if err != nil {
		return service.OpenAIErrorWrapperLocal(err, "model_mapped_error", http.StatusBadRequest)
	}

	if value, exists := c.Get("prompt_tokens"); exists {
		promptTokens := value.(int)
		relayInfo.SetPromptTokens(promptTokens)
	} else {
		promptTokens, err := getGeminiInputTokens(req, relayInfo)
		if err != nil {
			return service.OpenAIErrorWrapperLocal(err, "count_input_tokens_error", http.StatusBadRequest)
		}
		c.Set("prompt_tokens", promptTokens)
	}

	priceData, err := helper.ModelPriceHelper(c, relayInfo, relayInfo.PromptTokens, req.GenerationConfig.MaxOutputTokens)
	if err != nil {
		return service.OpenAIErrorWrapperLocal(err, "model_price_error", http.StatusInternalServerError)
	}

	// pre consume quota
	preConsumedQuota, userQuota, openaiErr := preConsumeQuota(c, priceData.ShouldPreConsumedQuota, relayInfo)
	if openaiErr != nil {
		return openaiErr
	}
	defer func() {
		if openaiErr != nil {
			returnPreConsumedQuota(c, relayInfo, userQuota, preConsumedQuota)
		}
	}()

	adaptor := GetAdaptor(relayInfo.ApiType)
	if adaptor == nil {
		return service.OpenAIErrorWrapperLocal(fmt.Errorf("invalid api type: %d", relayInfo.ApiType), "invalid_api_type", http.StatusBadRequest)
	}

	adaptor.Init(relayInfo)

	requestBody, err := json.Marshal(req)
	if err != nil {
		return service.OpenAIErrorWrapperLocal(err, "marshal_text_request_failed", http.StatusInternalServerError)
	}

	resp, err := adaptor.DoRequest(c, relayInfo, bytes.NewReader(requestBody))
	if err != nil {
		common.LogError(c, "Do gemini request failed: "+err.Error())
		return service.OpenAIErrorWrapperLocal(err, "do_request_failed", http.StatusInternalServerError)
	}

	usage, openaiErr := adaptor.DoResponse(c, resp.(*http.Response), relayInfo)
	if openaiErr != nil {
		return openaiErr
	}

	postConsumeQuota(c, relayInfo, usage.(*dto.Usage), preConsumedQuota, userQuota, priceData, "")
	return nil
}