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2 Commits
Author | SHA1 | Date | |
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9b26587a41 | |||
16192e00a2 |
@ -127,23 +127,28 @@ def download_images():
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else:
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messagebox.showwarning("警告", "没有图片被下载")
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def upload_image_to_lsky_pro(image_path):
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"""上传图片到Lsky Pro图床"""
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with open(image_path, 'rb') as img_file:
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files = {'file': img_file}
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headers = {
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'Authorization': f'Bearer {token}',
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'Accept': 'application/json'
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}
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response = requests.post(f'{lsky_pro_url}{upload_endpoint}', files=files, headers=headers)
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if response.status_code == 200:
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try:
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data = response.json()
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if data['status']:
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return data['data']['links']['url']
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except:
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pass
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return None
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def upload_image_to_lsky_pro(image_path, retries=3, timeout=30):
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"""上传图片到Lsky Pro图床,增加重试机制和超时设置"""
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for attempt in range(retries):
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try:
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with open(image_path, 'rb') as img_file:
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files = {'file': img_file}
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headers = {
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'Authorization': f'Bearer {token}',
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'Accept': 'application/json'
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}
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response = requests.post(f'{lsky_pro_url}{upload_endpoint}', files=files, headers=headers, timeout=timeout)
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if response.status_code == 200:
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try:
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data = response.json()
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if data['status']:
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return data['data']['links']['url']
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except:
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pass
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except requests.exceptions.RequestException as e:
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print(f"上传失败,重试 {attempt + 1}/{retries}: {str(e)}")
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time.sleep(3) # 重试前等待3秒
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return None
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@ -182,8 +187,8 @@ def process_image_file(markdown_file_path):
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# 构造新的文件名
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file_name, file_ext = os.path.splitext(markdown_file_path)
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new_file_path = f"{file_name}_lsky{file_ext}"
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#new_file_path = f"{file_name}_lsky{file_ext}"
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new_file_path = f"{file_name}{file_ext}"
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# 保存为新文件
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with open(new_file_path, 'w', encoding='utf-8') as file:
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file.write(new_content)
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@ -309,24 +314,18 @@ def download_and_upload_images():
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except Exception as e:
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messagebox.showerror("错误", f"处理过程中出错: {str(e)}")
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def upload_images_batch_files(file_paths, max_concurrent_uploads=5):
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"""批量上传图片,限制并发上传数量"""
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from concurrent.futures import ThreadPoolExecutor, as_completed
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def upload_images_batch_files(file_paths):
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# """ 你的图片上传逻辑(需自行实现) """
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for file_path in file_paths:
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# 这里添加处理每个文件的逻辑
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if not file_path or not os.path.isfile(file_path):
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messagebox.showwarning("警告", "请选择有效的Markdown文件。")
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return
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print(f"Processing: {file_path}")
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process_image_file(file_path)
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# 示例:读取markdown文件内容
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# with open(file_path, 'r') as f:
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# content = f.read()
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# 添加你的图片上传逻辑...
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with ThreadPoolExecutor(max_workers=max_concurrent_uploads) as executor:
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futures = {executor.submit(process_image_file, file_path): file_path for file_path in file_paths}
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for future in as_completed(futures):
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file_path = futures[future]
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try:
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future.result()
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except Exception as e:
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print(f"处理文件 {file_path} 时出错: {str(e)}")
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def select_files():
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root = tk.Tk()
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@ -3,7 +3,8 @@ import requests
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# 配置信息
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local_image_folder = 'downloaded_images'
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lsky_pro_url = 'http://192.168.107.248:18089/api/v1'
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#lsky_pro_url = 'http://192.168.107.248:18089/api/v1'
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lsky_pro_url = 'https://image.lqsjy.cn/api/v1'
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upload_endpoint = '/upload'
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token = '1|QJP2YEr9GIN52VBgmm5hCqV5DwBSvJLUKjnwcKB8'
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