feat: 评论去重 + 热度/新鲜度加权选文
评论去重逻辑: - 查询今日已评论的文章ID,选文时已评论的文章权重降为10% - 若选中已评论文章:改为回复其他用户的评论(虚拟用户互动链) - 若选中未评论文章:正常发新评论,评论成功后随机回复他人评论 热度+新鲜度加权选文规则: - 热度分 = commentNum×3 + praiseNum×2 + readNum×1 - 新鲜度 = 72小时内的新文章获得最高3倍加成,随时间线性衰减 - 综合权重 = (热度分+1) × 新鲜度,确保真实用户互动多的新文章优先被虚拟用户关注
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@@ -230,10 +230,43 @@ class SchedulerService:
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)
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return
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article = random.choice(articles)
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# ── 文章去重 + 热度加权选取 ─────────────────────────────────
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# 查询今日已评论过的文章ID(避免重复评论同一篇)
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from sqlalchemy import func as _func
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from datetime import date as _date
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today_str = datetime.now().date()
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dup_result = await db.execute(
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select(InteractionRecord.article_id).where(
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InteractionRecord.user_id == user_id,
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InteractionRecord.interact_type == "comment",
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InteractionRecord.status == 1,
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_func.date(InteractionRecord.executed_at) == today_str,
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)
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)
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already_commented = {r[0] for r in dup_result.all()}
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# 按热度加权:commentNum + praiseNum + readNum 越高权重越大
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# 同时优先未评论过的文章
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def _article_weight(a):
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aid = str(a.get("recordId") or a.get("id", ""))
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base = (
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int(a.get("commentNum") or 0) * 3 +
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int(a.get("praiseNum") or 0) * 2 +
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int(a.get("readNum") or 0)
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)
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# 已评论的文章权重大幅降低(但不为0,还可以点赞/收藏)
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penalty = 0.1 if aid in already_commented else 1.0
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return max(1, base) * penalty
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weights = [_article_weight(a) for a in articles]
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article = random.choices(articles, weights=weights, k=1)[0]
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# 判断是否已评论此文章(用于后续逻辑)
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news_id = str(article.get("recordId") or article.get("id", ""))
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already_commented_this = news_id in already_commented
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# 接口返回字段: id/newsTitle/content/digest/createUser
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# 广场接口字段:recordId=新闻实际ID, id=广场记录ID, title=标题
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news_id = str(article.get("recordId") or article.get("id", ""))
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news_title = article.get("title") or article.get("newsTitle") or "未知文章"
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news_content = article.get("content") or article.get("digest") or news_title
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news_author = str(article.get("createUser") or "")
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@@ -278,39 +311,24 @@ class SchedulerService:
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interactions_done.append("forward")
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await self._incr_total(db, user_id)
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# ⑤ 评论(AI生成内容,调用 POST /message/comment)
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if can_comment and random.random() < comment_prob and personality:
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# ⑤ 评论/回复逻辑(去重:已评论过的文章改为回复他人评论)
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if can_comment and personality:
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style_prompt = personality.comment_style_prompt or ""
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# 字数上限最多80字,避免超出 max_tokens 被截断
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safe_word_max = min(personality.word_count_max, 80)
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comment_text, tokens = await ai_service.generate_comment(
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db, news_title, news_content,
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style_prompt, personality.word_count_min, safe_word_max
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)
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if comment_text:
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success, err = await news_service.post_comment(
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db, user, news_id, news_title, comment_text,
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news_author_id=news_author, org_id=article_org_id
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)
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await self._save_record(
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db, user, news_id, news_title, "comment",
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comment_text, tokens, success, err
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)
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if success:
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interactions_done.append("comment")
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await db.execute(
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update(VirtualUser).where(VirtualUser.id == user_id).values(
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today_comment_count=VirtualUser.today_comment_count + 1,
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total_interactions=VirtualUser.total_interactions + 1,
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last_interact_at=datetime.now()
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)
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)
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# ⑥ 回复评论(评论成功后,随机回复别人的评论)
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if random.random() < reply_prob:
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existing = await news_service.get_comments(db, user, news_id)
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if existing:
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target = random.choice(existing)
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if already_commented_this:
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# 已评论过此文章 → 改为回复其他用户的评论(虚拟用户互动)
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if random.random() < reply_prob:
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existing = await news_service.get_comments(db, user, news_id)
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if existing:
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# 优先回复虚拟用户的评论(促进互动),过滤掉自己的评论
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from app.core.redis_client import get_session as _gs
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my_sess = await _gs(user.id)
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my_uid = my_sess.get("platform_uid", "") if my_sess else ""
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others = [c for c in existing
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if str(c.get("userId") or c.get("createUser") or "") != my_uid]
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if others:
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target = random.choice(others)
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cid = str(target.get("id") or target.get("commentId") or "")
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parent_content = target.get("content") or ""
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if cid:
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@@ -318,7 +336,7 @@ class SchedulerService:
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db, news_title, parent_content,
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style_prompt,
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personality.word_count_min,
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personality.word_count_max
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safe_word_max
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)
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if reply_text:
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r_ok, r_err = await news_service.post_reply(
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@@ -331,6 +349,64 @@ class SchedulerService:
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)
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if r_ok:
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interactions_done.append("reply")
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logger.info(f"💬 {user.account} 回复了已评论文章的评论(去重逻辑)")
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else:
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# 未评论过此文章 → 正常发评论
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if random.random() < comment_prob:
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comment_text, tokens = await ai_service.generate_comment(
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db, news_title, news_content,
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style_prompt, personality.word_count_min, safe_word_max
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)
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if comment_text:
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success, err = await news_service.post_comment(
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db, user, news_id, news_title, comment_text,
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news_author_id=news_author, org_id=article_org_id
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)
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await self._save_record(
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db, user, news_id, news_title, "comment",
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comment_text, tokens, success, err
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)
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if success:
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interactions_done.append("comment")
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await db.execute(
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update(VirtualUser).where(VirtualUser.id == user_id).values(
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today_comment_count=VirtualUser.today_comment_count + 1,
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total_interactions=VirtualUser.total_interactions + 1,
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last_interact_at=datetime.now()
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)
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)
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# ⑥ 评论成功后,随机回复其他用户的评论(互动链)
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if random.random() < reply_prob:
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existing = await news_service.get_comments(db, user, news_id)
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if existing:
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from app.core.redis_client import get_session as _gs2
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my_sess2 = await _gs2(user.id)
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my_uid2 = my_sess2.get("platform_uid", "") if my_sess2 else ""
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others2 = [c for c in existing
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if str(c.get("userId") or c.get("createUser") or "") != my_uid2]
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if others2:
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target2 = random.choice(others2)
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cid2 = str(target2.get("id") or target2.get("commentId") or "")
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parent_content2 = target2.get("content") or ""
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if cid2:
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reply_text2, r_tokens2 = await ai_service.generate_reply(
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db, news_title, parent_content2,
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style_prompt,
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personality.word_count_min,
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safe_word_max
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)
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if reply_text2:
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r_ok2, r_err2 = await news_service.post_reply(
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db, user, news_id, cid2, reply_text2
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)
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await self._save_record(
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db, user, news_id, news_title, "reply",
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reply_text2, r_tokens2, r_ok2, r_err2,
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parent_comment_id=cid2
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)
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if r_ok2:
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interactions_done.append("reply")
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await db.commit()
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logger.info(f"👤 {user.account} 互动完成: {interactions_done} [新闻: {news_title[:20]}]")
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