123 lines
5.6 KiB
Python
123 lines
5.6 KiB
Python
import os
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import time
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from datetime import datetime
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import argparse
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import sys
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from core.ai_agent import AI_Agent
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from core.topic_parser import TopicParser
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import core.contentGen as contentGen
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import core.posterGen as posterGen
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import core.simple_collage as simple_collage
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from utils.resource_loader import ResourceLoader
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from utils.tweet_generator import prepare_topic_generation, generate_topics, generate_content
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def main():
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config_file = {
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"date": "4月17日",
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"num": 5,
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"model": "qwenQWQ",
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"api_url": "vllm",
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"api_key": "EMPTY",
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"topic_system_prompt": "/root/autodl-tmp/TravelContentCreator/SelectPrompt/systemPrompt.txt",
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"topic_user_prompt": "/root/autodl-tmp/TravelContentCreator/SelectPrompt/userPrompt.txt",
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"content_system_prompt": "/root/autodl-tmp/TravelContentCreator/genPrompts/systemPrompt.txt",
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"resource_dir": [{
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"type": "Object",
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"num": 4,
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"file_path": ["/root/autodl-tmp/TravelContentCreator/resource/Object/景点信息-尚书第.txt",
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"/root/autodl-tmp/TravelContentCreator/resource/Object/景点信息-明清园.txt",
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"/root/autodl-tmp/TravelContentCreator/resource/Object/景点信息-泰宁古城.txt",
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"/root/autodl-tmp/TravelContentCreator/resource/Object/景点信息-甘露寺.txt"
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]},
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{
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"type": "Product",
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"num": 0,
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"file_path": []
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}
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],
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"prompts_dir": "/root/autodl-tmp/TravelContentCreator/genPrompts",
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"output_dir": "/root/autodl-tmp/TravelContentCreator/result",
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"variants": 2,
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"topic_temperature": 0.2,
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"content_temperature": 0.3
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}
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if True:
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# 1. 首先生成选题
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ai_agent, system_prompt, user_prompt, output_dir = prepare_topic_generation(
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config_file["date"], config_file["num"], config_file["topic_system_prompt"], config_file["topic_user_prompt"],
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config_file["api_url"], config_file["model"], config_file["api_key"], config_file["prompts_dir"], config_file["resource_dir"], config_file["output_dir"]
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)
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run_id, tweet_topic_record = generate_topics(
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ai_agent, system_prompt, user_prompt, config_file["output_dir"],
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config_file["topic_temperature"], 0.5, 1.5
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)
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output_dir = os.path.join(config_file["output_dir"], run_id)
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os.makedirs(output_dir, exist_ok=True)
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tweet_topic_record.save_topics(os.path.join(output_dir, "tweet_topic.json"))
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tweet_topic_record.save_prompt(os.path.join(output_dir, "tweet_prompt.txt"))
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# raise Exception("选题生成失败，退出程序")
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if not run_id or not tweet_topic_record:
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print("选题生成失败，退出程序")
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return
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# 2. 然后生成内容
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print("\n开始根据选题生成内容...")
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# 加载内容生成的系统提示词
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content_system_prompt = ResourceLoader.load_system_prompt(config_file["content_system_prompt"])
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if not content_system_prompt:
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print("内容生成系统提示词为空，使用选题生成的系统提示词")
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content_system_prompt = system_prompt
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# 直接使用同一个AI Agent实例
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for i in range(len(tweet_topic_record.topics_list)):
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result = generate_content(
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ai_agent, content_system_prompt, tweet_topic_record.topics_list[i], output_dir, run_id, config_file["prompts_dir"], config_file["resource_dir"],
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config_file["variants"], config_file["content_temperature"]
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)
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object_name = tweet_topic_record.topics_list[i].object
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info_directory = [
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f"/root/autodl-tmp/sanming_img/相机/{object_name}/description.txt"
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]
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poster_num = 1
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tweet_content = f"""
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{result[0].get_result_json()}
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"""
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input_dir = f"/root/autodl-tmp/sanming_img/modify/{object_name}"
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output_dir = "/root/autodl-tmp/poster_generate_result"
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target_size = (900, 1200)
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result_path = []
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content_gen = contentGen.ContentGenerator()
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response = content_gen.run(info_directory, poster_num, tweet_content)
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print(response)
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img_list = simple_collage.process_directory(input_dir, target_size=target_size, output_count=poster_num, output_dir=output_dir)
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print(img_list)
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poster_gen = posterGen.PosterGenerator()
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poster_config = posterGen.PosterConfig(response)
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for index, item in enumerate(poster_config.get_config()):
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text_data = {
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"title": f"{item['main_title']}",
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"subtitle": "",
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"additional_texts": [
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{"text": f"{item['texts'][0]}", "position": "bottom", "size_factor": 0.5},
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{"text": f"{item['texts'][1]}", "position": "bottom", "size_factor": 0.5}
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]
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}
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img_path = img_list[index]['path']
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print(img_path)
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result_path.append(poster_gen.create_poster(img_path, text_data, f"{index}.jpg"))
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if __name__ == "__main__":
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main()
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