// Package llm contains multimodal LLM adapters.
//
// The built-in providers are intentionally implemented through the
// OpenAI-compatible chat/completions shape. Qwen DashScope, Volcengine Ark,
// and OpenAI-compatible gateways all accept the same "text + image_url"
// message content pattern, so one small HTTP adapter is enough here.
package llm

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

	"github.com/mmmy/snapgo/internal/domain"
)

// VisionClient calls one configured multimodal chat endpoint.
type VisionClient struct {
	providerID string
	cfg        domain.LLMProviderConfig
	httpClient *http.Client
}

// NewVisionClient validates cfg and returns a reusable client.
func NewVisionClient(providerID string, cfg domain.LLMProviderConfig) (*VisionClient, error) {
	if strings.TrimSpace(cfg.BaseURL) == "" {
		return nil, fmt.Errorf("llm base url is required")
	}
	if strings.TrimSpace(cfg.APIKey) == "" {
		return nil, fmt.Errorf("llm api key is required")
	}
	if strings.TrimSpace(cfg.Model) == "" {
		return nil, fmt.Errorf("llm model is required")
	}
	timeout := cfg.TimeoutSecs
	if timeout <= 0 {
		timeout = 60
	}
	return &VisionClient{
		providerID: providerID,
		cfg:        cfg,
		httpClient: &http.Client{Timeout: time.Duration(timeout) * time.Second},
	}, nil
}

// SummarizeImage asks the model to summarise an image available at imageURL.
func (c *VisionClient) SummarizeImage(ctx context.Context, prompt string, imageURL string) (string, error) {
	prompt = strings.TrimSpace(prompt)
	if prompt == "" {
		return "", fmt.Errorf("llm prompt is empty")
	}
	imageURL = strings.TrimSpace(imageURL)
	if imageURL == "" {
		return "", fmt.Errorf("image url is empty")
	}

	body := map[string]any{
		"model": c.cfg.Model,
		"messages": []map[string]any{
			{
				"role": "user",
				"content": []map[string]any{
					{"type": "text", "text": prompt},
					{"type": "image_url", "image_url": map[string]any{"url": imageURL}},
				},
			},
		},
	}
	if c.cfg.MaxTokens > 0 {
		if c.providerID == domain.LLMProviderOpenAI {
			body["max_completion_tokens"] = c.cfg.MaxTokens
		} else {
			body["max_tokens"] = c.cfg.MaxTokens
		}
	}
	if c.cfg.Temperature >= 0 {
		body["temperature"] = c.cfg.Temperature
	}

	payload, err := json.Marshal(body)
	if err != nil {
		return "", fmt.Errorf("marshal llm request: %w", err)
	}
	req, err := http.NewRequestWithContext(ctx, http.MethodPost, chatCompletionsURL(c.cfg.BaseURL), bytes.NewReader(payload))
	if err != nil {
		return "", fmt.Errorf("build llm request: %w", err)
	}
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Authorization", "Bearer "+c.cfg.APIKey)

	resp, err := c.httpClient.Do(req)
	if err != nil {
		return "", fmt.Errorf("llm request: %w", err)
	}
	defer resp.Body.Close()
	data, _ := io.ReadAll(io.LimitReader(resp.Body, 4<<20))
	if resp.StatusCode < 200 || resp.StatusCode >= 300 {
		return "", fmt.Errorf("llm status %d: %s", resp.StatusCode, compactBody(data))
	}

	var decoded chatCompletionResponse
	if err := json.Unmarshal(data, &decoded); err != nil {
		return "", fmt.Errorf("decode llm response: %w", err)
	}
	if decoded.Error != nil && decoded.Error.Message != "" {
		return "", fmt.Errorf("llm error: %s", decoded.Error.Message)
	}
	if len(decoded.Choices) == 0 {
		return "", fmt.Errorf("llm response has no choices")
	}
	text := strings.TrimSpace(contentText(decoded.Choices[0].Message.Content))
	if text == "" {
		return "", fmt.Errorf("llm response is empty")
	}
	return text, nil
}

func chatCompletionsURL(baseURL string) string {
	base := strings.TrimRight(strings.TrimSpace(baseURL), "/")
	if strings.HasSuffix(base, "/chat/completions") {
		return base
	}
	return base + "/chat/completions"
}

type chatCompletionResponse struct {
	Choices []struct {
		Message struct {
			Content any `json:"content"`
		} `json:"message"`
	} `json:"choices"`
	Error *struct {
		Message string `json:"message"`
		Type    string `json:"type"`
		Code    any    `json:"code"`
	} `json:"error"`
}

func contentText(content any) string {
	switch v := content.(type) {
	case string:
		return v
	case []any:
		parts := make([]string, 0, len(v))
		for _, item := range v {
			obj, ok := item.(map[string]any)
			if !ok {
				continue
			}
			if text, ok := obj["text"].(string); ok {
				parts = append(parts, text)
			}
		}
		return strings.Join(parts, "\n")
	default:
		return ""
	}
}

func compactBody(data []byte) string {
	text := strings.TrimSpace(string(data))
	if text == "" {
		return "<empty body>"
	}
	if len(text) > 800 {
		return text[:800] + "..."
	}
	return text
}