193 lines
6.1 KiB
Python
193 lines
6.1 KiB
Python
import os
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import requests
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from bs4 import BeautifulSoup
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from concurrent.futures import ThreadPoolExecutor
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from PIL import Image
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import io
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from reportlab.lib.pagesizes import letter
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from reportlab.pdfgen import canvas
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from utils import ArrayUtil
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def get_html(url, max_retries=3):
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session = requests.Session()
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adapter = requests.adapters.HTTPAdapter(max_retries=max_retries)
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session.mount("http://", adapter)
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session.mount("https://", adapter)
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try:
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response = session.get(url)
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response.raise_for_status()
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return response.text
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except Exception as e:
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print(f"Error occurred while fetching HTML from {url}: {e}")
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raise Exception("获取网页html失败")
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def download_image(img_url, max_retries=5):
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for retry in range(max_retries):
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try:
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with requests.get(img_url, stream=True) as response:
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response.raise_for_status()
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return response.content
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except Exception as e:
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if retry < max_retries - 1:
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print(
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f"Failed to download image, retrying ({retry+1}/{max_retries})..."
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)
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else:
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print("Failed to download image after multiple retries, skipping.")
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return None
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def get_img_urls(html_content):
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soup = BeautifulSoup(html_content, "html.parser")
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img_tags = soup.find("div", class_="reading-content").find_all("img")
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img_urls = []
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for img_tag in img_tags:
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img_url = img_tag.attrs["data-src"]
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img_urls.append(img_url)
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return img_urls
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def create_img_obj_list(img_url_list):
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img_obj_list = []
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for url in img_url_list:
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obj = dict()
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obj["url"] = url
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obj["data"] = None
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img_obj_list.append(obj)
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return img_obj_list
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def set_img_obj_data(img_obj):
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url = img_obj["url"]
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data = download_image(url)
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if data is None:
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raise Exception("下载图片失败")
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img_obj["data"] = data
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def save_images_to_directory(img_obj_list, directory_path):
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try:
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# 创建保存图片的目录（如果不存在）
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os.makedirs(directory_path, exist_ok=True)
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for idx, img_obj in enumerate(img_obj_list):
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url = img_obj["url"]
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data = img_obj["data"]
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# 获取图片的扩展名（假设url以图片扩展名结尾）
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extension = os.path.splitext(url)[1]
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# 图片文件名，这里用序号作为文件名
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file_name = f"image_{idx}{extension}"
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file_path = os.path.join(directory_path, file_name)
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# 将图片数据写入本地文件
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with open(file_path, "wb") as file:
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file.write(data)
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print("图片保存成功！")
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except Exception as e:
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print(f"图片保存失败：{e}")
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def generate_pdf_from_images(img_obj_list, output_file):
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try:
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c = canvas.Canvas(output_file, pagesize=letter)
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for img_obj in img_obj_list:
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# 从图片对象的 data 字段中创建图像对象
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img_data = img_obj["data"]
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img = Image.open(io.BytesIO(img_data))
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# 将图像大小调整为 PDF 页面大小
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img_width, img_height = img.size
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pdf_width, pdf_height = letter
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scale = min(pdf_width / img_width, pdf_height / img_height)
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new_width, new_height = int(img_width * scale), int(img_height * scale)
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img = img.resize((new_width, new_height), Image.ANTIALIAS)
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# 将图像添加到 PDF 页面中
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c.drawInlineImage(img, 0, 0, width=new_width, height=new_height)
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# 创建新的页面
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c.showPage()
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c.save()
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print("PDF 生成成功！")
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except Exception as e:
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print(f"PDF 生成失败：{e}")
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def concatenate_images_vertically(img_obj_list, output_file):
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try:
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# 计算拼接后的长图宽度和总高度
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max_width = max(
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Image.open(io.BytesIO(img_obj["data"])).width for img_obj in img_obj_list
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)
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total_height = sum(
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Image.open(io.BytesIO(img_obj["data"])).height for img_obj in img_obj_list
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)
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# 创建一张新的长图
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long_image = Image.new("RGB", (max_width, total_height), color=(255, 255, 255))
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# 依次将图片在垂直方向上拼接起来
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y_offset = 0
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for img_obj in img_obj_list:
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img = Image.open(io.BytesIO(img_obj["data"]))
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img_width, img_height = img.size
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x_offset = (max_width - img_width) // 2 # 居中拼接
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long_image.paste(img, (x_offset, y_offset))
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y_offset += img_height
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# 保存拼接后的长图到本地
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# long_image.save(output_file)
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except Exception as e:
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print(f"拼接图片失败：{e}")
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return None
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def process_batch(lines):
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for line in lines:
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line = line.strip() # 去掉每行开头和结尾的空白字符
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if line:
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# 解析出 HTML 文件名和 URL 地址
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file_name, _, url = line.partition(" - ")
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html_content = get_html(url)
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img_url_list = get_img_urls(html_content)
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img_obj_list = create_img_obj_list(img_url_list)
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# 使用 ThreadPoolExecutor 创建线程池
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with ThreadPoolExecutor() as executor:
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# 多线程处理图片下载和替换
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executor.map(set_img_obj_data, img_obj_list)
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# save_images_to_directory(img_obj_list, directory_path="imgs")
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concatenate_images_vertically(
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img_obj_list, output_file=f"imgs/{file_name}.pdf"
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)
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if __name__ == "__main__":
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file_name = "input.txt"
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batch_size = 3 # 每个线程处理的行数
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with open(file_name, "r", encoding="utf-8") as file:
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lines = file.readlines()
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# 使用 ThreadPoolExecutor 创建线程池
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with ThreadPoolExecutor() as executor:
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# 按照 batch_size 将行分批次处理
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for i in range(0, len(lines), batch_size):
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batch_lines = lines[i : i + batch_size]
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executor.submit(process_batch, batch_lines)
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