import os
import shutil
import uuid

import fitz  # PyMuPDF
import gradio as gr
from modelscope import AutoModel, AutoTokenizer
from PIL import Image, ImageEnhance

from got_ocr import got_ocr

# 初始化模型和分词器
tokenizer = AutoTokenizer.from_pretrained("stepfun-ai/GOT-OCR2_0", trust_remote_code=True)
model = AutoModel.from_pretrained("stepfun-ai/GOT-OCR2_0", trust_remote_code=True, low_cpu_mem_usage=True, device_map="cuda", use_safetensors=True)
model = model.eval().cuda()

UPLOAD_FOLDER = "./uploads"
RESULTS_FOLDER = "./results"

# 确保必要的文件夹存在
os.makedirs(UPLOAD_FOLDER, exist_ok=True)
os.makedirs(RESULTS_FOLDER, exist_ok=True)


def pdf_to_images(pdf_path):
    images = []
    pdf_document = fitz.open(pdf_path)
    for page_num in range(len(pdf_document)):
        page = pdf_document.load_page(page_num)
        # 进一步增加分辨率和缩放比例
        zoom = 4  # 增加缩放比例到4
        mat = fitz.Matrix(zoom, zoom)
        pix = page.get_pixmap(matrix=mat, alpha=False)
        img = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)

        # 增加对比度
        enhancer = ImageEnhance.Contrast(img)
        img = enhancer.enhance(1.5)  # 增加50%的对比度

        images.append(img)
    pdf_document.close()
    return images


def process_pdf(pdf_file):
    if pdf_file is None:
        return None

    temp_pdf_path = os.path.join(UPLOAD_FOLDER, f"{uuid.uuid4()}.pdf")

    # 使用 shutil 复制上传的件到临时位置
    shutil.copy(pdf_file.name, temp_pdf_path)

    images = pdf_to_images(temp_pdf_path)
    os.remove(temp_pdf_path)

    # 将图像保存为临时文件并返回文件路径列表
    image_paths = []
    for i, img in enumerate(images):
        img_path = os.path.join(RESULTS_FOLDER, f"page_{i+1}.png")
        img.save(img_path, "PNG")
        image_paths.append(img_path)

    return image_paths


def on_image_select(evt: gr.SelectData):
    if evt.index is not None:
        return evt.index
    return None


def perform_ocr(selected_index, image_paths):
    if selected_index is not None and image_paths and 0 <= selected_index < len(image_paths):
        selected_image = image_paths[selected_index][0]
        # 这里添加OCR处理逻辑
        return got_ocr(model, tokenizer, selected_image)
    return "请先选择一个图片"


with gr.Blocks() as demo:
    pdf_input = gr.File(label="上传PDF文件")
    image_gallery = gr.Gallery(label="PDF页面预览", columns=3, height="auto")
    selected_index = gr.State(None)
    ocr_button = gr.Button("开始OCR识别")
    ocr_result = gr.Textbox(label="OCR结果")

    pdf_input.upload(fn=process_pdf, inputs=pdf_input, outputs=image_gallery)
    image_gallery.select(fn=on_image_select, inputs=[], outputs=selected_index)
    ocr_button.click(fn=perform_ocr, inputs=[selected_index, image_gallery], outputs=ocr_result)

    # 移除了选中图片的显示部分

if __name__ == "__main__":
    demo.launch()