package aiimage

import (
	"bytes"
	"encoding/json"
	"fmt"
	"io"
	"net/http"
	"strings"
	"time"

	"gitcode.com/JianFeeeee/HomeAgent/internal/plugin"
	sdk "gitcode.com/JianFeeeee/HomeAgent/internal/sdk"
)

func init() {
	plugin.RegisterPluginMeta("ai_image", "AI 生图", "AI Image")
	plugin.RegisterFactory("ai_image", func(name string, config map[string]interface{}) (sdk.Plugin, error) {
		return New(name), nil
	})
}

type Plugin struct {
	name    string
	client  *http.Client
	apiKey  string
	baseURL string
	model   string
	size    string
}

func New(name string) *Plugin {
	return &Plugin{
		name:   name,
		client: &http.Client{Timeout: 120 * time.Second},
	}
}

func (p *Plugin) Name() string { return p.name }

func getSettingString(s sdk.SettingsAPI, key, def string) string {
	if s == nil {
		return def
	}
	v, err := s.Get(key)
	if err != nil || v == nil {
		return def
	}
	if sv, ok := v.(string); ok && sv != "" {
		return sv
	}
	return def
}

func (p *Plugin) Start(s *sdk.PluginSDK) error {
	s.SetAutoRestart(true)

	s.Settings().RegisterDef(sdk.ConfigDef{
		Key: "base_url", Default: "http://127.0.0.1:8081/v1", Type: "string",
		DisplayName: "Base URL", Description: "OpenAI 兼容生图网关地址（默认本机 llmsproxy）",
		Category: "ai_image",
	})
	s.Settings().RegisterDef(sdk.ConfigDef{
		Key: "api_key", Default: "", Type: "password",
		DisplayName: "API Key", Description: "生图网关 API Key（默认使用内核 LLM key，留空则取 core.llm.api_key）",
		Category: "ai_image",
	})
	s.Settings().RegisterDef(sdk.ConfigDef{
		Key: "model", Default: "", Type: "string",
		DisplayName: "Model", Description: "生图模型 ID，留空由网关 AUTO 决定（如 flux-1）",
		Category: "ai_image",
	})
	s.Settings().RegisterDef(sdk.ConfigDef{
		Key: "size", Default: "1024x1024", Type: "string",
		DisplayName: "Size", Description: "默认图片尺寸，如 1024x1024",
		Category: "ai_image",
	})

	p.apiKey = getSettingString(s.Settings(), "api_key", "")
	p.baseURL = strings.TrimRight(getSettingString(s.Settings(), "base_url", "http://127.0.0.1:8081/v1"), "/")
	p.model = getSettingString(s.Settings(), "model", "")
	p.size = getSettingString(s.Settings(), "size", "1024x1024")

	if p.apiKey == "" {
		if v, _ := s.Settings().GetCore("llm.api_key"); v != nil {
			if sv, ok := v.(string); ok && sv != "" {
				p.apiKey = sv
			}
		}
	}

	s.RegisterTool("ai_image_generate", sdk.ToolDef{
		Name: "ai_image_generate", Description: "Generate image from text prompt using AI. Returns image URL.",
		Parameters: map[string]interface{}{
			"type": "object",
			"properties": map[string]interface{}{
				"prompt": map[string]interface{}{"type": "string", "description": "Text description of the image to generate"},
				"size":   map[string]interface{}{"type": "string", "description": "Image size (1024x1024, etc.), default from config"},
				"model":  map[string]interface{}{"type": "string", "description": "Model override (e.g. flux-1)"},
				"n":      map[string]interface{}{"type": "integer", "description": "Number of images to generate (1-10), default 1"},
			},
			"required": []string{"prompt"},
		},
	}, p.handleGenerate)

	return nil
}

func (p *Plugin) Stop() error { return nil }

type genRequest struct {
	Model          string `json:"model"`
	Prompt         string `json:"prompt"`
	N              int    `json:"n"`
	Size           string `json:"size"`
	ResponseFormat string `json:"response_format"`
}

type genResp struct {
	Created int64 `json:"created"`
	Data    []struct {
		URL           string `json:"url"`
		B64JSON       string `json:"b64_json"`
		RevisedPrompt string `json:"revised_prompt"`
	} `json:"data"`
	Error *struct {
		Message string `json:"message"`
		Type    string `json:"type"`
	} `json:"error"`
}

func (p *Plugin) handleGenerate(args map[string]interface{}) (interface{}, error) {
	prompt, _ := args["prompt"].(string)
	if strings.TrimSpace(prompt) == "" {
		return map[string]interface{}{"isError": true, "content": "prompt is required"}, nil
	}

	key := p.apiKey
	if key == "" {
		return map[string]interface{}{"isError": true, "content": "生图 API key 未配置（plugin.ai_image.api_key 或 core.llm.api_key）"}, nil
	}

	model := p.model
	if m, ok := args["model"].(string); ok && m != "" {
		model = m
	}
	size := p.size
	if sz, ok := args["size"].(string); ok && sz != "" {
		size = sz
	}
	n := 1
	if nv, ok := args["n"].(float64); ok {
		n = int(nv)
		if n < 1 {
			n = 1
		}
		if n > 10 {
			n = 10
		}
	}

	body := genRequest{Model: model, Prompt: prompt, N: n, Size: size, ResponseFormat: "url"}
	raw, _ := json.Marshal(body)

	url := p.baseURL + "/images/generations"
	req, err := http.NewRequest(http.MethodPost, url, bytes.NewReader(raw))
	if err != nil {
		return map[string]interface{}{"isError": true, "content": "构造请求失败: " + err.Error()}, nil
	}
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Authorization", "Bearer "+key)

	resp, err := p.client.Do(req)
	if err != nil {
		return map[string]interface{}{"isError": true, "content": "生图请求失败: " + err.Error()}, nil
	}
	defer resp.Body.Close()

	respBody, _ := io.ReadAll(resp.Body)
	if resp.StatusCode != 200 {
		return map[string]interface{}{"isError": true, "content": fmt.Sprintf("生图 API error (status %d): %s", resp.StatusCode, string(respBody))}, nil
	}

	var result genResp
	if err := json.Unmarshal(respBody, &result); err != nil {
		return map[string]interface{}{"isError": true, "content": "解析生图响应失败: " + err.Error()}, nil
	}
	if result.Error != nil {
		return map[string]interface{}{"isError": true, "content": "生图 API error: " + result.Error.Message}, nil
	}
	if len(result.Data) == 0 {
		return map[string]interface{}{"isError": true, "content": "no images returned"}, nil
	}

	var urls []string
	var saved []string
	for i, d := range result.Data {
		imgURL := d.URL
		if imgURL == "" && d.B64JSON != "" {
			imgURL = "data:image/png;base64," + d.B64JSON
		}
		if imgURL != "" {
			urls = append(urls, imgURL)
		}
		if i == 0 {
			saved = append(saved, imgURL)
		}
	}
	if len(urls) == 0 {
		return map[string]interface{}{"isError": true, "content": "生图响应中没有可用图片"}, nil
	}

	return map[string]interface{}{
		"content": fmt.Sprintf("Generated %d image(s) with model %s:\n%s", len(urls), model, strings.Join(urls, "\n")),
		"images":  urls,
		"prompt":  prompt,
		"model":   model,
	}, nil
}