"""
Fitz 图像预处理插件

提供将输入图片（本地路径、HTTP(S) URL 或 PIL.Image）通过 PyMuPDF(fitz)
按指定 DPI 渲染为新的高质量图像的能力。

导出的主要函数：
- render_image_at_dpi: 首选、语义清晰的 API。
- get_image_by_fitz_doc: 与现有代码保持一致的兼容函数名。

相关辅助函数也一并提炼，确保模块自洽可用：
- fitz_doc_to_image: 将 fitz.Page 渲染为 PIL.Image。
"""

from collections.abc import Generator
from typing import Any, Union, Optional
from io import BytesIO
import os
import base64
import requests
import fitz  # PyMuPDF
from PIL import Image

from dify_plugin import Tool
from dify_plugin.entities.tool import ToolInvokeMessage


def _load_image_to_bytes(image: Union[str, Image.Image]) -> tuple[Image.Image, bytes]:
    """
    将输入图片统一读取为 PIL.Image 和原始字节数据。

    支持：
    - PIL.Image.Image 直接传入
    - 本地路径（以普通字符串表示）
    - HTTP(S) URL
    - Base64 数据 URI (data:image/xxx;base64,...)

    返回：
    - (pil_image, image_bytes)
    """
    if isinstance(image, Image.Image):
        bio = BytesIO()
        image.save(bio, format='PNG')
        return image, bio.getvalue()

    assert isinstance(image, str), f"Unsupported image type: {type(image)}"

    # 处理 base64 数据 URI
    if image.startswith("data:image/"):
        try:
            # 解析 data URI: data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAA...
            header, data = image.split(',', 1)
            if 'base64' in header:
                data_bytes = base64.b64decode(data)
                pil_img = Image.open(BytesIO(data_bytes))
                return pil_img, data_bytes
            else:
                raise ValueError("Only base64 encoded data URIs are supported")
        except Exception as e:
            raise ValueError(f"Failed to parse base64 data URI: {e}")

    # 处理 HTTP(S) URL
    if image.startswith("http://") or image.startswith("https://"):
        try:
            with requests.get(image, stream=True) as response:
                response.raise_for_status()
                data_bytes = response.content
                pil_img = Image.open(BytesIO(data_bytes))
                return pil_img, data_bytes
        except Exception as e:
            raise ValueError(f"Failed to download image from URL: {e}")

    # 默认当作本地路径处理
    try:
        with open(image, 'rb') as f:
            data_bytes = f.read()
        pil_img = Image.open(BytesIO(data_bytes))
        return pil_img, data_bytes
    except Exception as e:
        raise ValueError(f"Failed to load image from file path: {e}")


def fitz_doc_to_image(doc: fitz.Page, target_dpi: int = 200, origin_dpi: Optional[tuple] = None) -> Image.Image:
    """
    将 fitz.Page 按指定 DPI 渲染为 PIL.Image。

    参数：
    - doc: fitz.Page
    - target_dpi: 目标渲染 DPI，默认 200
    - origin_dpi: 原始 DPI 信息（当前未使用，保留参数以兼容原始签名）
    """
    mat = fitz.Matrix(target_dpi / 72, target_dpi / 72)
    pm = doc.get_pixmap(matrix=mat, alpha=False)

    if pm.width > 4500 or pm.height > 4500:
        # 超大图回退到 fitz 默认 DPI，以避免内存和性能问题
        mat = fitz.Matrix(72 / 72, 72 / 72)
        pm = doc.get_pixmap(matrix=mat, alpha=False)

    image = Image.frombytes('RGB', (pm.width, pm.height), pm.samples)
    return image


def render_image_at_dpi(image: Union[str, Image.Image], target_dpi: int = 200) -> Image.Image:
    """
    使用 fitz 将任意输入图片按指定 DPI 渲染为新的 PIL.Image。

    支持输入：
    - PIL.Image.Image
    - 本地路径
    - HTTP(S) URL

    返回：
    - 渲染后的 PIL.Image
    """
    pil_img, data_bytes = _load_image_to_bytes(image)
    origin_dpi = pil_img.info.get('dpi', None)

    # 先将图片封装为 PDF，再用 fitz 渲染
    pdf_bytes = fitz.open(stream=data_bytes).convert_to_pdf()
    doc = fitz.open('pdf', pdf_bytes)
    page = doc[0]
    image_fitz = fitz_doc_to_image(page, target_dpi=target_dpi, origin_dpi=origin_dpi)
    return image_fitz


def get_image_by_fitz_doc(image: Union[str, Image.Image], target_dpi: int = 200) -> Image.Image:
    """
    兼容函数名：行为等同于 render_image_at_dpi。
    """
    return render_image_at_dpi(image, target_dpi=target_dpi)


class ImageFitzTool(Tool):
    def _invoke(self, tool_parameters: dict[str, Any]) -> Generator[ToolInvokeMessage]:
        """
        调用图像预处理工具
        """
        try:
            # 获取参数
            image_input = tool_parameters.get("image_input")
            target_dpi = tool_parameters.get("target_dpi", 200)
            
            if not image_input:
                raise ValueError("image_input parameter is required")
            
            # 处理图像
            processed_image = render_image_at_dpi(image_input, target_dpi)
            
            # 将处理后的图像转换为字节数据
            bio = BytesIO()
            processed_image.save(bio, format='PNG')
            image_bytes = bio.getvalue()
            
            # 创建文件元数据
            meta = {
                'filename': 'processed_image.png',
                'mime_type': 'image/png',
                'width': processed_image.size[0],
                'height': processed_image.size[1],
                'dpi': target_dpi
            }
            
            # 返回 blob 消息（文件形式）
            yield self.create_blob_message(blob=image_bytes, meta=meta)
            
        except Exception as e:
            yield self.create_text_message(f"Error processing image: {str(e)}")