package anthropic

import (
	"encoding/json"
	"fmt"

	"nex/backend/internal/protocol/openai"
)

// StreamConverter 流式转换器
type StreamConverter struct {
	messageID    string
	model        string
	index        int // 当前 content block index
	toolCallArgs map[int]string // 缓存每个 tool_call 的 arguments
	sentStart    bool // 是否已发送 message_start
	sentBlockStart map[int]bool // 每个 index 是否已发送 content_block_start
}

// NewStreamConverter 创建流式转换器
func NewStreamConverter(messageID, model string) *StreamConverter {
	return &StreamConverter{
		messageID:      messageID,
		model:          model,
		index:          0,
		toolCallArgs:   make(map[int]string),
		sentStart:      false,
		sentBlockStart: make(map[int]bool),
	}
}

// ConvertChunk 转换 OpenAI 流块为 Anthropic 事件
func (c *StreamConverter) ConvertChunk(chunk *openai.StreamChunk) ([]StreamEvent, error) {
	var events []StreamEvent

	// 发送 message_start（仅一次）
	if !c.sentStart {
		events = append(events, StreamEvent{
			Type: "message_start",
			Message: &MessagesResponse{
				ID:    c.messageID,
				Type:  "message",
				Role:  "assistant",
				Model: c.model,
				Content: []ContentBlock{},
				Usage: Usage{
					InputTokens:  0,
					OutputTokens: 0,
				},
			},
		})
		c.sentStart = true
	}

	// 处理每个 choice
	for _, choice := range chunk.Choices {
		// 处理 content delta
		if choice.Delta.Content != "" {
			// 发送 content_block_start（如果还没发送）
			if !c.sentBlockStart[c.index] {
				events = append(events, StreamEvent{
					Type:  "content_block_start",
					Index: c.index,
					ContentBlock: &ContentBlock{
						Type: "text",
					},
				})
				c.sentBlockStart[c.index] = true
			}

			// 发送 text delta
			events = append(events, StreamEvent{
				Type:  "content_block_delta",
				Index: c.index,
				Delta: &Delta{
					Type: "text_delta",
					Text: choice.Delta.Content,
				},
			})
		}

		// 处理 tool_calls delta
		if len(choice.Delta.ToolCalls) > 0 {
			for _, tc := range choice.Delta.ToolCalls {
				// 确定 tool_call index
				toolIndex := c.index + len(c.toolCallArgs)

				// 发送 content_block_start（如果还没发送）
				if !c.sentBlockStart[toolIndex] {
					events = append(events, StreamEvent{
						Type:  "content_block_start",
						Index: toolIndex,
						ContentBlock: &ContentBlock{
							Type: "tool_use",
							ID:   tc.ID,
							Name: tc.Function.Name,
						},
					})
					c.sentBlockStart[toolIndex] = true
					c.toolCallArgs[toolIndex] = ""
				}

				// 缓存 arguments
				c.toolCallArgs[toolIndex] += tc.Function.Arguments

				// 发送 input delta
				events = append(events, StreamEvent{
					Type:  "content_block_delta",
					Index: toolIndex,
					Delta: &Delta{
						Type:  "input_json_delta",
						Input: tc.Function.Arguments,
					},
				})
			}
		}

		// 处理 finish_reason
		if choice.FinishReason != "" {
			// 发送 content_block_stop
			for idx := range c.sentBlockStart {
				events = append(events, StreamEvent{
					Type:  "content_block_stop",
					Index: idx,
				})
			}

			// 转换 stop_reason
			stopReason := ""
			switch choice.FinishReason {
			case "stop":
				stopReason = "end_turn"
			case "tool_calls":
				stopReason = "tool_use"
			case "length":
				stopReason = "max_tokens"
			}

			// 发送 message_delta
			events = append(events, StreamEvent{
				Type: "message_delta",
				Delta: &Delta{
					StopReason: stopReason,
				},
			})

			// 发送 message_stop
			events = append(events, StreamEvent{
				Type: "message_stop",
			})
		}
	}

	return events, nil
}

// SerializeEvent 序列化事件为 SSE 格式
func SerializeEvent(event StreamEvent) (string, error) {
	bytes, err := json.Marshal(event)
	if err != nil {
		return "", err
	}
	return fmt.Sprintf("event: %s\ndata: %s\n\n", event.Type, string(bytes)), nil
}