hz4th_coder
e689fed71e
功能特性: - 前端文章展示 (Markdown渲染、代码高亮) - 后台管理系统 (文章、分类、标签、作者管理) - 图片上传 (点击、拖拽、粘贴) - 网站设置 (Logo、底部宣传图片上传) - 访问统计 (IP记录、趋势图表) - 参考来源、附件支持 - 单端口部署 (16012) 技术栈: - Flask 3.0 + SQLAlchemy - SQLite数据库 - marked.js + highlight.js (Markdown渲染) - Chart.js (统计图表)
83 lines
2.6 KiB
Python
83 lines
2.6 KiB
Python
"""访问统计模型"""
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from datetime import datetime
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from app import db
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class VisitLog(db.Model):
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"""访问日志表"""
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__tablename__ = 'visit_logs'
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id = db.Column(db.Integer, primary_key=True)
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# 访问信息
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ip_address = db.Column(db.String(50), nullable=False)
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user_agent = db.Column(db.String(500))
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referer = db.Column(db.String(500))
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# 访问路径
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path = db.Column(db.String(500), nullable=False)
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method = db.Column(db.String(10), default='GET')
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# 访问者信息（可从IP解析）
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country = db.Column(db.String(50))
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city = db.Column(db.String(50))
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# 文章关联（如果访问的是文章详情页）
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article_id = db.Column(db.Integer, db.ForeignKey('articles.id'))
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article = db.relationship('Article', backref='visit_logs')
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# 时间戳
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visited_at = db.Column(db.DateTime, default=datetime.utcnow, index=True)
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def __repr__(self):
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return f'<VisitLog {self.ip_address} - {self.path}>'
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@staticmethod
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def get_today_count():
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"""获取今日访问量"""
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from datetime import date
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today = date.today()
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return VisitLog.query.filter(
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VisitLog.visited_at >= datetime.combine(today, datetime.min.time())
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).count()
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@staticmethod
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def get_total_count():
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"""获取总访问量"""
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return VisitLog.query.count()
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@staticmethod
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def get_unique_ip_count():
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"""获取独立IP数量"""
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return db.session.query(db.func.count(db.func.distinct(VisitLog.ip_address))).scalar()
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class DailyStats(db.Model):
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"""每日统计汇总表"""
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__tablename__ = 'daily_stats'
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id = db.Column(db.Integer, primary_key=True)
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date = db.Column(db.Date, unique=True, nullable=False, index=True)
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# 统计数据
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total_visits = db.Column(db.Integer, default=0)
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unique_ips = db.Column(db.Integer, default=0)
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article_views = db.Column(db.Integer, default=0)
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# 热门文章
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top_article_id = db.Column(db.Integer, db.ForeignKey('articles.id'))
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top_article_views = db.Column(db.Integer, default=0)
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created_at = db.Column(db.DateTime, default=datetime.utcnow)
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def __repr__(self):
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return f'<DailyStats {self.date}>'
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@staticmethod
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def get_stats_list(days=30):
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"""获取最近N天的统计数据"""
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from datetime import date, timedelta
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start_date = date.today() - timedelta(days=days)
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return DailyStats.query.filter(
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DailyStats.date >= start_date
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).order_by(DailyStats.date.desc()).all() |