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@@ -29,7 +29,7 @@ def generate_prompt(account_title_list):
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** 评估维度及权重 **
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1. 受众精准度（50%）
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正向匹配：存款/养老/健康/饮食/疾病警示/家庭伦理/近现代战争历史/老知青/奇闻异事
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- 负向排除：影视解说/文学解读/个人收藏（钱币/邮票）/机械科普/数码测评/电子游戏/时尚潮流/明星八卦/极限运动/学术研究/网络热梗/宠物饲养
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+ 负向排除：影视解说/文学解读/个人收藏（钱币/邮票）/机械科普/数码测评/电子游戏/时尚潮流/明星八卦/极限运动/学术研究/网络热梗/宠物饲养/音乐/棋牌
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2. 标题技法（40%）
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悬念设计：疑问句/省略号/反转结构（例："打开后瞬间愣住..."）
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@@ -91,12 +91,20 @@ def recognize_each_account(thread_db_client, account):
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# process
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title_list = json.loads(account["title_list"])
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- if len(title_list) < 15:
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+ if len(title_list) < 15 and account['platform'] == 'toutiao':
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# 账号数量不足，直接跳过
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print("bad account, skip")
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update_task_status(thread_db_client, task_id, 1, 11)
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return
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+ # 标题长度过长，需要过滤
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+ title_total_length = sum(len(title) for title in title_list)
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+ avg_title_length = title_total_length / len(title_list)
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+ if avg_title_length > 30:
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+ print("title too long, skip")
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+ update_task_status(thread_db_client, task_id, 1, 14)
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+ return
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+
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prompt = generate_prompt(title_list)
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response = fetch_deepseek_response(model="DeepSeek-R1", prompt=prompt)
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response_score_str = response.strip()
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@@ -148,7 +156,7 @@ class AccountRecognizer:
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get account task from database
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"""
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fetch_query = f"""
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- select id, title_list from crawler_candidate_account_pool
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+ select id, title_list, platform from crawler_candidate_account_pool
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where avg_score is null and status = 0 and title_list is not null;
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"""
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fetch_response = self.db_client.fetch(fetch_query, cursor_type=DictCursor)
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luojunhui