package openai

import (
	"apigo.cc/ai/agent"
	"context"
	"github.com/sashabaranov/go-openai"
	"github.com/ssgo/log"
	"strings"
)

func (ag *Agent) FastAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
	return ag.Ask(messages, &agent.ChatModelConfig{
		Model: ModelGPT_4o_mini_2024_07_18,
	}, callback)
}

func (ag *Agent) LongAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
	return ag.Ask(messages, &agent.ChatModelConfig{
		Model: ModelGPT_4_32k_0613,
	}, callback)
}

func (ag *Agent) BatterAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
	return ag.Ask(messages, &agent.ChatModelConfig{
		Model: ModelGPT_4_turbo,
	}, callback)
}

func (ag *Agent) BestAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
	return ag.Ask(messages, &agent.ChatModelConfig{
		Model: ModelGPT_4o_2024_08_06,
	}, callback)
}

func (ag *Agent) MultiAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
	return ag.Ask(messages, &agent.ChatModelConfig{
		Model: ModelGPT_4o_mini_2024_07_18,
	}, callback)
}

func (ag *Agent) BestMultiAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
	return ag.Ask(messages, &agent.ChatModelConfig{
		Model: ModelGPT_4o_2024_08_06,
	}, callback)
}

func (ag *Agent) CodeInterpreterAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
	return ag.Ask(messages, &agent.ChatModelConfig{
		Model: ModelGPT_4o,
		Tools: map[string]any{agent.ToolCodeInterpreter: nil},
	}, callback)
}

func (ag *Agent) WebSearchAsk(messages []agent.ChatMessage, callback func(answer string)) (string, agent.TokenUsage, error) {
	return ag.Ask(messages, &agent.ChatModelConfig{
		Model: ModelGPT_4o_mini_2024_07_18,
		Tools: map[string]any{agent.ToolWebSearch: nil},
	}, callback)
}

func (ag *Agent) Ask(messages []agent.ChatMessage, config *agent.ChatModelConfig, callback func(answer string)) (string, agent.TokenUsage, error) {
	openaiConf := openai.DefaultConfig(ag.config.ApiKey)
	if ag.config.Endpoint != "" {
		openaiConf.BaseURL = ag.config.Endpoint
	}

	if config == nil {
		config = &agent.ChatModelConfig{}
	}
	config.SetDefault(&ag.config.DefaultChatModelConfig)

	agentMessages := make([]openai.ChatCompletionMessage, len(messages))
	for i, msg := range messages {
		var contents []openai.ChatMessagePart
		if msg.Contents != nil {
			contents = make([]openai.ChatMessagePart, len(msg.Contents))
			for j, inPart := range msg.Contents {
				part := openai.ChatMessagePart{}
				part.Type = TypeMap[inPart.Type]
				switch inPart.Type {
				case agent.TypeText:
					part.Text = inPart.Content
				case agent.TypeImage:
					part.ImageURL = &openai.ChatMessageImageURL{
						URL:    inPart.Content,
						Detail: openai.ImageURLDetailAuto,
					}
				}
				contents[j] = part
			}
		}
		agentMessages[i] = openai.ChatCompletionMessage{
			Role:         RoleMap[msg.Role],
			MultiContent: contents,
		}
	}

	opt := openai.ChatCompletionRequest{
		Model:       config.GetModel(),
		Messages:    agentMessages,
		MaxTokens:   config.GetMaxTokens(),
		Temperature: float32(config.GetTemperature()),
		TopP:        float32(config.GetTopP()),
		StreamOptions: &openai.StreamOptions{
			IncludeUsage: true,
		},
	}

	for name := range config.GetTools() {
		switch name {
		case agent.ToolCodeInterpreter:
			opt.Tools = append(opt.Tools, openai.Tool{Type: "code_interpreter"})
		case agent.ToolWebSearch:
		}
	}

	c := openai.NewClientWithConfig(openaiConf)
	if callback != nil {
		opt.Stream = true
		r, err := c.CreateChatCompletionStream(context.Background(), opt)
		if err == nil {
			results := make([]string, 0)
			usage := agent.TokenUsage{}
			for {
				if r2, err := r.Recv(); err == nil {
					if r2.Choices != nil {
						for _, ch := range r2.Choices {
							text := ch.Delta.Content
							callback(text)
							results = append(results, text)
						}
					}
					if r2.Usage != nil {
						usage.AskTokens += int64(r2.Usage.PromptTokens)
						usage.AnswerTokens += int64(r2.Usage.CompletionTokens)
						usage.TotalTokens += int64(r2.Usage.TotalTokens)
					}
				} else {
					break
				}
			}
			_ = r.Close()
			return strings.Join(results, ""), usage, nil
		} else {
			log.DefaultLogger.Error(err.Error())
			return "", agent.TokenUsage{}, err
		}
	} else {
		r, err := c.CreateChatCompletion(context.Background(), opt)

		if err == nil {
			results := make([]string, 0)
			if r.Choices != nil {
				for _, ch := range r.Choices {
					results = append(results, ch.Message.Content)
				}
			}
			return strings.Join(results, ""), agent.TokenUsage{
				AskTokens:    int64(r.Usage.PromptTokens),
				AnswerTokens: int64(r.Usage.CompletionTokens),
				TotalTokens:  int64(r.Usage.TotalTokens),
			}, nil
		} else {
			//fmt.Println(u.BMagenta(err.Error()), u.BMagenta(u.JsonP(r)))
			return "", agent.TokenUsage{}, err
		}
	}
}