339 lines
13 KiB
Python
339 lines
13 KiB
Python
# -*- coding: utf-8 -*-
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# 小红书图文上传脚本 - 智能适配单图和多图
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import sys
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import os
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from pathlib import Path
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# 获取当前脚本所在目录
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current_dir = os.path.dirname(os.path.abspath(__file__))
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# 项目根目录是当前目录的上一级（因为examples目录和conf.py同级）
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project_root = os.path.dirname(current_dir)
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# 将项目根目录添加到系统路径
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sys.path.append(project_root)
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import asyncio
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import re
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from datetime import datetime, timedelta
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import random
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import aiofiles
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from conf import BASE_DIR
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from uploader.xiaohongshu_uploader.main import XiaoHongShuImage, xiaohongshu_setup
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from utils.files_times import generate_schedule_time_next_day
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from utils.human_typing_wrapper import HumanTypingWrapper
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from utils.enhanced_human_typing import EnhancedHumanTypingSimulator
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from utils.network import async_retry
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# 增强版人类输入配置
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ENHANCED_CONFIG = {
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# 人类状态模拟
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'energy_level': random.uniform(0.7, 1.0),
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'typing_proficiency': random.uniform(0.6, 0.9),
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'emotion_state': random.uniform(0.8, 1.0),
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# 错误处理
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'base_error_rate': random.uniform(0.02, 0.05),
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'error_correction_speed': random.uniform(0.3, 0.8),
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# 速度控制
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'speed_variance': random.uniform(0.1, 0.2),
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'burst_speed_probability': 0.1
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}
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# 保留原有配置作为备用
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HUMAN_CONFIG = {
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'min_typing_speed': 5,
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'max_typing_speed': 15,
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'pause_probability': 0.1,
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'chunk_input': True,
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'max_chunk_length': 100,
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'fatigue_effect': False
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}
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class XiaohongshuImageUploader:
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def __init__(self, page=None, use_enhanced=True):
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if page:
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if use_enhanced:
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# 使用增强版输入模拟器
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self.human_typer = EnhancedHumanTypingSimulator(page)
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self.use_enhanced = True
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else:
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# 使用原版输入模拟器作为备用
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self.human_typer = HumanTypingWrapper(page, HUMAN_CONFIG)
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self.use_enhanced = False
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@async_retry(timeout=60, max_retries=3)
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async def fill_form(self, selector, text, clear_first=True):
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"""增强版人性化填写表单"""
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try:
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if self.use_enhanced:
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# 使用增强版输入方法
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success = await self.human_typer.type_text(text, selector)
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if success:
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await asyncio.sleep(random.uniform(0.5, 1.0))
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return True
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return False
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else:
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# 使用原版输入方法作为备用
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await self.human_typer.type_text_human(selector, text, clear_first)
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await asyncio.sleep(random.uniform(0.5, 1.0))
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return True
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except Exception as e:
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print(f"填写表单失败: {e}")
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return False
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@async_retry(timeout=30, max_retries=3)
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async def process_tags(self, tags_line):
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"""处理标签，使用增强版输入"""
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tags = []
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if tags_line.startswith('#'):
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for tag in tags_line.split():
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tag = tag.strip()
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if tag and tag.startswith('#'):
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tag_content = tag[1:].strip()
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if tag_content:
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tags.append(tag_content)
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# 更自然的处理间隔
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await asyncio.sleep(random.uniform(0.2, 0.5))
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return tags
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def get_image_groups_from_folder(images_folder):
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"""从文件夹中智能获取图片组"""
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try:
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images_folder = Path(images_folder)
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if not images_folder.exists():
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print(f"图片文件夹不存在: {images_folder}")
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return []
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# 获取所有图片文件
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image_extensions = ['.jpg', '.jpeg', '.png', '.webp', '.bmp']
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all_images_set = set()
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for ext in image_extensions:
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for img in images_folder.glob(f"*{ext.lower()}"):
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all_images_set.add(img.resolve())
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for img in images_folder.glob(f"*{ext.upper()}"):
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all_images_set.add(img.resolve())
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all_images = list(all_images_set)
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if not all_images:
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print(f"在 {images_folder} 中未找到图片文件")
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return []
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# 按文件名分组
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image_groups = {}
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for image_path in all_images:
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filename = image_path.stem
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match = re.match(r'^(.+?)(\d+)$', filename)
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if match:
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base_name = match.group(1)
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number = int(match.group(2))
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if base_name not in image_groups:
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image_groups[base_name] = []
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image_groups[base_name].append((number, image_path))
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else:
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if filename not in image_groups:
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image_groups[filename] = []
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image_groups[filename].append((1, image_path))
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# 整理分组结果
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result_groups = []
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for base_name, images in image_groups.items():
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images.sort(key=lambda x: x[0])
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image_paths = [img[1] for img in images]
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if len(image_paths) == 1:
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print(f"发现单图: {base_name} - {image_paths[0].name}")
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else:
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print(f"发现多图组: {base_name} - {len(image_paths)} 张图片")
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for i, path in enumerate(image_paths, 1):
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print(f" {i}. {path.name}")
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result_groups.append({
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'base_name': base_name,
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'image_paths': image_paths,
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'count': len(image_paths),
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'type': 'multi' if len(image_paths) > 1 else 'single'
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})
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return result_groups
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except Exception as e:
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print(f"处理图片文件夹时出错: {e}")
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return []
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@async_retry(timeout=30, max_retries=3)
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async def get_image_metadata(base_name, images_folder):
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"""获取图文元数据，添加重试机制"""
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try:
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txt_file = Path(images_folder) / f"{base_name}.txt"
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if txt_file.exists():
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async with aiofiles.open(txt_file, 'r', encoding='utf-8') as f:
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lines = await f.readlines()
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title = lines[0].strip() if len(lines) >= 1 else base_name
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# 处理标签
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tags = []
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if len(lines) >= 2:
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tags_line = lines[1].strip()
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if tags_line.startswith('#'):
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for tag in tags_line.split():
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tag = tag.strip()
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if tag and tag.startswith('#'):
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tag_content = tag[1:].strip()
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if tag_content:
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tags.append(tag_content)
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else:
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tags = [tag.strip() for tag in tags_line.replace('，', ',').split(',') if tag.strip()]
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else:
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tags = ['生活', '分享']
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# 处理地点
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location = None
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if len(lines) >= 3:
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location_line = lines[2].strip()
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if location_line:
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location = location_line
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# 处理正文
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content = None
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if len(lines) >= 4:
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content_lines = [line.rstrip() for line in lines[3:]]
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while content_lines and not content_lines[0]:
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content_lines.pop(0)
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while content_lines and not content_lines[-1]:
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content_lines.pop()
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if content_lines:
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content = '\n'.join(content_lines)
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else:
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title = base_name
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tags = ['生活', '分享']
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location = None
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content = None
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return title, tags, location, content
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except Exception as e:
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print(f"读取元数据失败: {e}")
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return base_name, ['生活', '分享'], None, None
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async def main():
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print("🎯 小红书图文上传工具 - 智能适配单图/多图")
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print("=" * 50)
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try:
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# 配置
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images_folder = Path(BASE_DIR) / "images"
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account_file = Path(BASE_DIR / "cookies" / "xiaohongshu_uploader" / "account.json")
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# 检查文件夹和账号文件
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if not images_folder.exists():
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print(f"❌ 图片文件夹不存在: {images_folder}")
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print("请创建images文件夹并放入要上传的图片文件")
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return
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if not account_file.exists():
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print("❌ 账号文件不存在，请先运行 get_xiaohongshu_cookie.py 获取登录凭证")
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return
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# 智能获取图片分组
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print("🔍 正在扫描图片文件...")
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image_groups = get_image_groups_from_folder(images_folder)
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if not image_groups:
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print("❌ 未找到任何图片文件")
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print("支持的格式: jpg, jpeg, png, webp, bmp")
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return
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# 统计信息
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total_groups = len(image_groups)
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single_count = sum(1 for group in image_groups if group['type'] == 'single')
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multi_count = sum(1 for group in image_groups if group['type'] == 'multi')
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total_images = sum(group['count'] for group in image_groups)
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print(f"\n📊 扫描结果:")
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print(f" • 总图文数: {total_groups} 个")
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print(f" • 单图图文: {single_count} 个")
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print(f" • 多图图文: {multi_count} 个")
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print(f" • 总图片数: {total_images} 张")
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# 生成定时发布时间
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print(f"\n⏰ 生成发布时间表...")
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publish_datetimes = generate_schedule_time_next_day(total_groups, 1, daily_times=[16])
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# 检查cookie
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print("🔐 验证登录状态...")
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cookie_setup = await xiaohongshu_setup(account_file, handle=False)
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if not cookie_setup:
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print("❌ Cookie验证失败，请先运行 get_xiaohongshu_cookie.py 获取登录凭证")
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return
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print("✅ 登录状态验证成功")
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# 创建上传器实例（使用增强版输入模拟器）
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uploader = XiaohongshuImageUploader(use_enhanced=True)
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# 逐个上传图文组
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print(f"\n🚀 开始上传图文...")
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print("=" * 50)
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for index, group in enumerate(image_groups):
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try:
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base_name = group['base_name']
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image_paths = group['image_paths']
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image_count = group['count']
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group_type = group['type']
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# 获取图文信息
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title, tags, location, content = await get_image_metadata(base_name, images_folder)
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print(f"\n📝 第 {index + 1}/{total_groups} 个图文")
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print(f" 类型: {'🖼️ 单图' if group_type == 'single' else '🖼️ ×' + str(image_count) + ' 多图'}")
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print(f" 名称: {base_name}")
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print(f" 标题: {title}")
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print(f" 标签: {', '.join(tags)}")
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print(f" 地点: {location if location else '未设置'}")
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print(f" 正文: {len(content) if content else 0} 字符")
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print(f" 发布: {publish_datetimes[index]}")
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# 创建图文上传实例（启用增强版输入）
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app = XiaoHongShuImage(
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title=title,
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image_paths=[str(path) for path in image_paths],
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tags=tags,
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publish_date=publish_datetimes[index],
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account_file=account_file,
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location=location,
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content=content,
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headless=False,
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use_enhanced_typing=True # 启用增强版输入
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)
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# 执行上传
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print(f" 🔄 正在上传...")
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await app.main()
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type_desc = f"单图" if group_type == 'single' else f"{image_count}张图"
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print(f" ✅ 图文《{title}》({type_desc}) 上传完成")
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# 添加随机延迟，避免频繁上传
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await asyncio.sleep(random.uniform(3, 5))
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except Exception as e:
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print(f" ❌ 上传图文组 {base_name} 时出错: {e}")
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# 出错后等待较长时间再继续
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await asyncio.sleep(random.uniform(5, 10))
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continue
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print(f"\n🎉 所有图文上传完成！")
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print(f"📊 处理结果: {total_groups} 个图文组，{total_images} 张图片")
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print("=" * 50)
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except Exception as e:
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print(f"程序执行出错: {e}")
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if __name__ == '__main__':
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asyncio.run(main()) |