package openai

import (
	modelprovider2 "ai-css/library/modelprovider"
	"ai-css/library/modelprovider/config"
	"context"
	"errors"
	"fmt"
	"io"
	"math/rand"
	"net/http"
	"strings"

	"ai-css/library/logger"
)

type Provider struct {
	httpClient  *http.Client
	conf        *config.ProviderConfig
	blackApikey map[string]struct{}
}

func New(conf *config.ProviderConfig, httpc *http.Client) *Provider {
	if httpc == nil {
		httpc = http.DefaultClient
	}
	return &Provider{conf: conf, httpClient: httpc, blackApikey: make(map[string]struct{})}
}

func (p *Provider) Capabilities() modelprovider2.Capability {
	return modelprovider2.Capability{
		Vendor:            "openai",
		SupportsStreaming: true,
		MaxContextTokens:  128000,
	}
}

func (p *Provider) InvokeCompletion(ctx context.Context, req *modelprovider2.ChatRequest) (*modelprovider2.ChatResponse, error) {
	// TODO: 将 req 映射到 OpenAI Responses/Chat API，发起 HTTP，解析返回
	return &modelprovider2.ChatResponse{
		ID:      "mock-openai-id",
		Model:   req.Model,
		Content: "hello from openai (mock)",
		Meta:    modelprovider2.Meta{Vendor: "openai"},
	}, nil
}

func (p *Provider) StreamCompletion(ctx context.Context, req *modelprovider2.ChatRequest, h modelprovider2.StreamChatCallback) (err error) {
	var (
		temp  = float32(0.7)
		store = false

		inputMessages []OpenAIChatMessage
	)

	for _, msg := range req.Messages {
		var (
			item    OpenAIChatMessage
			isInput bool
		)
		switch msg.Role {
		case modelprovider2.RoleSystem:
			item.Role = "system"
			isInput = true
		case modelprovider2.RoleAssistant:
			item.Role = "assistant"
		case modelprovider2.RoleUser:
			item.Role = "user"
			isInput = true
		}
		for _, part := range msg.Parts {
			var data interface{}
			switch part.Type {
			case modelprovider2.PartText:
				data = NewTextPart(isInput, part.Text)
			case modelprovider2.PartImage:
				data = NewImagePart(isInput, part.ImageURL)
			}
			item.Content = append(item.Content, data)
		}
		inputMessages = append(inputMessages, item)
	}

	var (
		callreq = &OpenAIResponsesRequest{
			Model:  req.Model,
			Input:  inputMessages, // 聊天内容
			Stream: req.IsStream,  // 流式很关键
			Store:  &store,        // 不持久化这次对话
		}

		apikeys []string
	)

	if IsGPT4Model(req.Model) {
		callreq.Temperature = &temp
	}

	for _, item := range p.conf.GetApiKeys() {
		if ok := blackKeyMgr.IsBlack(item); ok {
			continue
		}
		apikeys = append(apikeys, item)
	}

	rand.Shuffle(len(apikeys), func(i, j int) {
		apikeys[i], apikeys[j] = apikeys[j], apikeys[i]
	})

	logger.Debugf("call openai apikeys:%v", apikeys)

	for _, ak := range apikeys {
		c := NewOpenaiClient(ak, p.conf.GetBaseUrl(), p.httpClient)
		_, err = c.callResponses(ctx, callreq, p.WrapStreamCallback(h))
		if err != nil {
			logger.Errorf("do callResponses api failed err:%v", err)
			if isApikeyInvalid(err) {
				blackKeyMgr.AddBlackKey(ak)
			}
			if errors.Is(err, NetworkError) {
				break
			}
			if !errors.Is(err, io.EOF) {
				continue
			}
		}
		return
	}
	if err != nil {
		logger.Errorf("call cloud model failed err:%v", err)
		err = fmt.Errorf("cloud model server internal error")
	}
	return
}

func (p *Provider) WrapStreamCallback(h modelprovider2.StreamChatCallback) func(*ResponsesStreamEvent) error {
	return func(event *ResponsesStreamEvent) error {
		switch EventType(event.Type) {
		case StreamRespondError, StreamRespondFailed:
			if event.Error != nil {
				return fmt.Errorf("OpenAI streaming error: %s (%s)", event.Error.Message, event.Error.Code)
			}
			return fmt.Errorf("unknown OpenAI streaming error: %v", event)
		case StreamRespondOutputTextDelta:
			if event.Delta != "" {
				if err := h(modelprovider2.StreamEvent{
					Kind: modelprovider2.StreamDelta,
					Text: event.Delta,
				}); err != nil {
					return fmt.Errorf("callback execution failed: %w", err)
				}
			}
		case StreamRespondComplete:
			if err := h(modelprovider2.StreamEvent{
				Kind:         modelprovider2.StreamEnd,
				OutputTokens: event.Response.Usage.OutputTokens,
			}); err != nil {
				return fmt.Errorf("callback execution failed: %w", err)
			}
		}
		return nil
	}
}

func (p *Provider) ListModels(ctx context.Context) (result []modelprovider2.ModelInfo, err error) {
	var models *ModelsResponse
	for _, ak := range p.conf.GetApiKeys() {
		c := NewOpenaiClient(ak, p.conf.GetBaseUrl(), p.httpClient)
		models, err = c.getModels(ctx)
		if err != nil {
			logger.Errorf("call responses api failed err:%v", err)
			continue
		}
		break
	}
	if models == nil {
		return
	}
	for _, model := range models.Data {
		//if !FilterModel(model) {
		//	continue
		//}
		result = append(result, modelprovider2.ModelInfo{
			RealID:      model.ID,
			Raw:         model,
			Vendor:      model.OwnedBy,
			DisplayName: model.ID,
		})
	}

	return
}

func (p *Provider) GetDefaultModel() string {
	return "gpt-4o"
}

func IsGPT4Model(model string) bool {
	return strings.Contains(model, "gpt-4")
}

func isApikeyInvalid(err error) bool {
	logger.Debugf("err:%v,sub:%s,contains:%v", err.Error(), "Incorrect API key provided", strings.Contains(err.Error(), "Incorrect API key provided"))
	return strings.Contains(err.Error(), "Incorrect API key provided")
}