360 lines
14 KiB
Python
360 lines
14 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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使用LLM和Vibrant模板从源文件自动生成海报的脚本。
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"""
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import os
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import sys
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import json
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import json_repair
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import random
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import asyncio
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import argparse
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import logging
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import re
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from datetime import datetime
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# 将项目根目录添加到Python路径中
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from poster.templates.vibrant_template import VibrantTemplate
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from core.ai.ai_agent import AIAgent
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from core.config import AIModelConfig
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from multiprocessing.pool import ThreadPool
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# 配置日志记录
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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logger = logging.getLogger(__name__)
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def read_data_file(file_path: str):
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"""安全地读取并解析各种格式的文件。"""
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try:
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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# 尝试解析为标准JSON
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try:
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return json_repair.loads(content)
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except json.JSONDecodeError:
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# 如果不是标准JSON，尝试解析为类JSON格式
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logger.info(f"文件 {file_path} 不是标准JSON格式，尝试其他解析方式...")
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# 检查是否是类JSON格式（带有大括号的键值对）
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if content.strip().startswith('{') and content.strip().endswith('}'):
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try:
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# 尝试将内容解析为字典
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result = {}
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# 使用正则表达式提取键值对
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pattern = r'"([^"]+)":\s*(.+?)(?=,\s*"[^"]+":|$)'
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matches = re.findall(pattern, content, re.DOTALL)
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for key, value in matches:
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# 清理值中的引号和多余空格
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value = value.strip()
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if value.startswith('"') and value.endswith('"'):
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# 字符串值
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result[key] = value[1:-1]
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elif value.lower() in ['true', 'false']:
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# 布尔值
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result[key] = value.lower() == 'true'
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elif value.replace('.', '', 1).isdigit():
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# 数字值
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result[key] = float(value) if '.' in value else int(value)
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else:
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# 其他值作为字符串处理
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result[key] = value
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if result:
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logger.info(f"成功解析文件 {file_path} 为字典")
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return result
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except Exception as e:
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logger.error(f"尝试解析类JSON格式失败: {e}")
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# 如果上述方法失败，尝试直接提取文本内容
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logger.info(f"尝试将文件 {file_path} 作为纯文本处理")
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# 简单解析键值对格式的文本文件
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result = {}
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lines = content.split('\n')
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current_key = None
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current_value = []
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for line in lines:
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line = line.strip()
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if not line:
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continue
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# 检查是否是新的键值对
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if ':' in line and not line.startswith(' ') and not line.startswith('\t'):
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# 保存之前的键值对
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if current_key and current_value:
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result[current_key] = '\n'.join(current_value)
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current_value = []
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# 提取新的键值对
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parts = line.split(':', 1)
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current_key = parts[0].strip().strip('"').strip("'")
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if len(parts) > 1 and parts[1].strip():
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current_value = [parts[1].strip()]
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else:
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current_value = []
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elif current_key:
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# 继续添加到当前值
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current_value.append(line)
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# 保存最后一个键值对
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if current_key and current_value:
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result[current_key] = '\n'.join(current_value)
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if result:
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logger.info(f"成功将文件 {file_path} 解析为键值对")
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return result
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# 如果所有方法都失败，返回文本内容
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logger.warning(f"无法解析文件 {file_path} 为结构化数据，返回原始文本")
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return {"content": content}
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except FileNotFoundError:
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logger.error(f"文件未找到: {file_path}")
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except Exception as e:
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logger.error(f"读取文件时发生未知错误 {file_path}: {e}")
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return None
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async def generate_info_with_llm(ai_agent: AIAgent, scenic_info: dict, product_info: dict, tweet_info: dict):
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"""
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调用LLM，根据输入信息生成海报所需的vibrant_content。
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Args:
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ai_agent: AIAgent实例
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scenic_info: 景区信息字典
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product_info: 产品信息字典
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tweet_info: 推文信息字典
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Returns:
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一个符合VibrantTemplate格式的内容字典
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"""
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logger.info("正在调用LLM以生成海报内容...")
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# 构建系统提示
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system_prompt = """你是一名专业的海报设计师，专门设计宣传海报。你现在要根据用户提供的图片描述和推文内容，生成适合模板的海报信息。
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模板特点：
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- 单图背景，毛玻璃渐变效果
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- 两栏布局（左栏内容，右栏价格）
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- 适合展示套餐内容和价格信息
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你需要生成的数据结构包含以下字段：
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**必填字段：**
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1. `title`: 主标题（8-12字符，体现产品特色）
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2. `slogan`: 副标题/宣传语（10-20字符，吸引人的描述）
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3. `price`: 价格数字（纯数字，不含符号）
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4. `ticket_type`: 票种类型（如"成人票"、"套餐票"、"夜场票"等）
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5. `content_button`: 内容按钮文字（通常为"套餐内容"、"包含项目"等）
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6. `content_items`: 套餐内容列表（3-5个项目，每项5-15字符，不要只包含项目名称，要做合适的美化，可以适当省略）
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**可选字段：**
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7. `remarks`: 备注信息（1-3条，每条10-20字符）
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8. `tag`: 标签（1条, 如"#限时优惠"、""等）
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9. `pagination`: 分页信息（如"1/3"，可为空）
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**内容创作要求：**
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1. 套餐内容要具体实用：明确说明包含的服务、时间、数量
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2. 价格要有吸引力：突出性价比和优惠信息
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**输出格式：**
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请严格按照以下JSON格式输出，不要有任何额外内容：
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```json
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{
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"title": "海洋奇幻世界",
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"slogan": "探索深海秘境，感受蓝色奇迹的无限魅力",
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"price": "299",
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"ticket_type": "成人票",
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"content_button": "套餐内容",
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"content_items": [
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"海洋馆门票1张（含所有展区）",
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"海豚表演VIP座位",
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"鲨鱼隧道特别体验",
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"专业摄影服务"
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],
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"remarks": [
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"工作日可直接入园",
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"周末需提前预约"
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],
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"tag": "#海洋特惠",
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"pagination": "1/2"
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}
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```
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"""
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# 构建用户提示
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user_prompt = f"""请根据以下信息，生成适合在旅游海报上展示的文案：
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## 景区信息
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{json.dumps(scenic_info, ensure_ascii=False, indent=2)}
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## 产品信息
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{json.dumps(product_info, ensure_ascii=False, indent=2)}
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## 推文信息
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{json.dumps(tweet_info, ensure_ascii=False, indent=2)}
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请提取关键信息并整合成一个JSON对象，包含title、slogan、price、ticket_type、content_items、remarks和tag字段。
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"""
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try:
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# 调用AIAgent生成文本
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response, _, _, _ = await ai_agent.generate_text(
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system_prompt=system_prompt,
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user_prompt=user_prompt,
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temperature=0.7,
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stage="海报文案生成"
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)
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# 解析JSON响应
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try:
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# 尝试找到JSON对象的开始和结束位置
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json_start = response.find('{')
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json_end = response.rfind('}') + 1
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if json_start >= 0 and json_end > json_start:
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json_str = response[json_start:json_end]
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content_dict = json_repair.loads(json_str)
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logger.info(f"LLM成功生成内容: {content_dict}")
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# 添加默认的按钮文本和分页信息
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content_dict["content_button"] = content_dict.get("content_button", "套餐内容")
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content_dict["pagination"] = content_dict.get("pagination", "")
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# 确保所有值都是字符串类型
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for key, value in content_dict.items():
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if isinstance(value, (int, float)):
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content_dict[key] = str(value)
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elif isinstance(value, list):
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content_dict[key] = [str(item) if isinstance(item, (int, float)) else item for item in value]
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logger.info(f"转换类型后的内容: {content_dict}")
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return content_dict
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else:
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logger.error(f"无法在响应中找到JSON对象: {response}")
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return None
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except json.JSONDecodeError:
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logger.error(f"无法解析LLM响应为JSON: {response}")
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return None
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except Exception as e:
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logger.error(f"调用LLM时发生错误: {e}")
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return None
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async def generate_poster(img_dir, output_dir, scenic_info_file, product_info_file, tweet_info_file, model, api_key, api_url):
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"""
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根据提供的参数生成海报。
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"""
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# --- 1. 读取所有源文件 ---
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scenic_info = read_data_file(scenic_info_file)
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product_info = read_data_file(product_info_file)
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tweet_info = read_data_file(tweet_info_file)
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if not all([scenic_info, product_info, tweet_info]):
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logger.error("一个或多个源文件读取失败，终止执行。")
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return
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# --- 2. 初始化AI代理 ---
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ai_config = AIModelConfig(
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model=model,
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api_key=api_key,
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api_url=api_url
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)
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ai_agent = AIAgent(ai_config)
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# --- 3. 调用LLM生成海报内容 ---
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vibrant_content = await generate_info_with_llm(ai_agent, scenic_info, product_info, tweet_info)
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if not vibrant_content:
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logger.error("未能从LLM获取有效内容，终止执行。")
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return
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# --- 4. 随机选择图片 ---
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try:
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image_files = [f for f in os.listdir(img_dir) if f.lower().endswith(('png', 'jpg', 'jpeg', 'webp'))]
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if not image_files:
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logger.error(f"在目录 {img_dir} 中未找到任何图片文件。")
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return
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random_image_name = random.choice(image_files)
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image_path = os.path.join(img_dir, random_image_name)
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logger.info(f"随机选择图片: {image_path}")
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except FileNotFoundError:
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logger.error(f"图片目录不存在: {img_dir}")
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return
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# --- 5. 调用模板生成海报 ---
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try:
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logger.info("正在初始化 VibrantTemplate...")
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template = VibrantTemplate()
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poster = template.generate(image_path=image_path, content=vibrant_content)
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if not poster:
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logger.error("海报生成失败，模板返回了 None。")
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return
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except Exception as e:
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logger.error(f"生成海报时发生未知错误: {e}", exc_info=True)
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return
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# --- 6. 保存图片 ---
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try:
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os.makedirs(output_dir, exist_ok=True)
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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scenic_name = scenic_info.get('主体名称', 'poster')
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output_filename = f"vibrant_{scenic_name}_{timestamp}.png"
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output_path = os.path.join(output_dir, output_filename)
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poster.save(output_path, 'PNG')
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logger.info(f"海报已成功生成并保存至: {output_path}")
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except Exception as e:
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logger.error(f"保存海报失败: {e}", exc_info=True)
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def run_async(func, *args): # 同步包装器
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return asyncio.run(func(*args))
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async def main():
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parser = argparse.ArgumentParser(
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description="通过LLM从源文件生成信息，并使用Vibrant模板创建海报。",
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formatter_class=argparse.RawTextHelpFormatter
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)
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# 设置默认值
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img_dir = "/root/autodl-tmp/TCC_RESTRUCT/resource/data/images/天津冒险湾"
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output_dir = "result/天津冒险湾"
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scenic_info_file = "resource/data/Object/天津冒险湾.txt"
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product_info_file = "resource/data/Product/天津冒险湾-2大2小套票.txt"
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tweet_info_file = "/root/autodl-tmp/TCC_RESTRUCT/result/run_20250709_160942/topic_1/article_judged.json"
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model = "qwen-plus"
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api_key = "sk-bd5ee62703bc41fc9b8a55d748dc1eb8"
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api_url = "https://dashscope.aliyuncs.com/compatible-mode/v1"
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# 确保输出目录存在
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os.makedirs(output_dir, exist_ok=True)
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tasks = [
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(img_dir, output_dir, scenic_info_file, product_info_file, tweet_info_file, model, api_key, api_url),
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(img_dir, output_dir, scenic_info_file, product_info_file, tweet_info_file, model, api_key, api_url),
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(img_dir, output_dir, scenic_info_file, product_info_file, tweet_info_file, model, api_key, api_url),
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(img_dir, output_dir, scenic_info_file, product_info_file, tweet_info_file, model, api_key, api_url),
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(img_dir, output_dir, scenic_info_file, product_info_file, tweet_info_file, model, api_key, api_url),
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]
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with ThreadPool(5) as pool:
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# 直接传递任务参数，不需要额外包装
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results = pool.starmap(
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run_async,
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[(generate_poster, *task_args) for task_args in tasks]
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)
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pool.close()
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pool.join()
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print("所有海报生成完成。")
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if __name__ == "__main__":
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asyncio.run(main()) |