mirror of
https://github.com/arch3rPro/1Panel-Appstore.git
synced 2026-04-15 00:17:12 +08:00
feat(trendradar): 添加 TrendRadar 应用及相关配置
This commit is contained in:
187
apps/trendradar/4.0.2/config/config.yaml
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187
apps/trendradar/4.0.2/config/config.yaml
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@@ -0,0 +1,187 @@
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app:
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version_check_url: "https://raw.githubusercontent.com/sansan0/TrendRadar/refs/heads/master/version"
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show_version_update: true # 控制显示版本更新提示,如果 false,则不接受新版本提示
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# 时区配置(影响所有时间显示、推送窗口判断、数据存储)
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# 常用时区:
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# - Asia/Shanghai (北京时间 UTC+8)
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# - America/New_York (美东时间 UTC-5/-4)
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# - Europe/London (伦敦时间 UTC+0/+1)
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# 完整时区列表: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones
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timezone: "Asia/Shanghai"
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# 存储配置
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storage:
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# 存储后端选择: local / remote / auto
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# - local: 本地 SQLite + TXT/HTML 文件
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# - remote: 远程云存储(S3 兼容协议,支持 R2/OSS/COS 等)
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# - auto: 自动选择(GitHub Actions 环境且配置了远程存储则用 remote,否则用 local)
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backend: "auto"
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# 数据格式选项
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formats:
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sqlite: true # 主存储(必须启用)
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txt: false # 是否生成 TXT 快照
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html: false # 是否生成 HTML 报告(⚠️ 邮件推送必须设为 true,否则会报错)
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# 本地存储配置
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local:
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data_dir: "output" # 数据目录
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retention_days: 0 # 本地数据保留天数(0 = 不清理)
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# 远程存储配置(S3 兼容协议)
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# 支持: Cloudflare R2, 阿里云 OSS, 腾讯云 COS, AWS S3, MinIO 等
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# 建议将敏感信息配置在 GitHub Secrets 或环境变量中
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remote:
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# 数据保留天数(0 = 不清理远程数据)
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retention_days: 0
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# S3 兼容配置
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endpoint_url: "" # 服务端点(或环境变量 S3_ENDPOINT_URL)
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# Cloudflare R2: https://<account_id>.r2.cloudflarestorage.com
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# 阿里云 OSS: https://oss-cn-hangzhou.aliyuncs.com
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# 腾讯云 COS: https://cos.ap-guangzhou.myqcloud.com
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bucket_name: "" # 存储桶名称(或环境变量 S3_BUCKET_NAME)
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access_key_id: "" # 访问密钥 ID(或环境变量 S3_ACCESS_KEY_ID)
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secret_access_key: "" # 访问密钥(或环境变量 S3_SECRET_ACCESS_KEY)
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region: "" # 区域(可选,部分服务商需要,或环境变量 S3_REGION)
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# 数据拉取配置(从远程同步到本地)
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# 用于 MCP Server 等场景:爬虫存到远程,MCP 拉取到本地分析
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pull:
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enabled: false # 是否启用启动时自动拉取
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days: 7 # 拉取最近 N 天的数据(0 = 不拉取)
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crawler:
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request_interval: 1000 # 请求间隔(毫秒)
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enable_crawler: true # 是否启用爬取新闻功能,如果 false,则直接停止程序
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use_proxy: false # 是否启用代理,false 时为关闭
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default_proxy: "http://127.0.0.1:10801"
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# 🔸 daily(当日汇总模式)
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# • 推送时机:按时推送(默认每小时推送一次)
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# • 显示内容:当日所有匹配新闻 + 新增新闻区域
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# • 适用场景:日报总结、全面了解当日热点趋势
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#
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# 🔸 current(当前榜单模式)
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# • 推送时机:按时推送(默认每小时推送一次)
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# • 显示内容:当前榜单匹配新闻 + 新增新闻区域
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# • 适用场景:实时热点追踪、了解当前最火的内容
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#
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# 🔸 incremental(增量监控模式)
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# • 推送时机:有新增才推送
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# • 显示内容:新出现的匹配频率词新闻
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# • 适用场景:避免重复信息干扰
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# 推送模式选择
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report:
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mode: "daily" # 可选: "daily"|"incremental"|"current"
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rank_threshold: 5 # 排名高亮阈值
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sort_by_position_first: false # 排序优先级:true=先按配置位置排序,false=先按热点条数排序
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max_news_per_keyword: 0 # 每个关键词最大显示数量,0=不限制
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reverse_content_order: false # 内容顺序:false=热点词汇统计在前,true=新增热点新闻在前
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notification:
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enable_notification: true # 是否启用通知功能,如果 false,则不发送手机通知
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message_batch_size: 4000 # 消息分批大小(字节)(这个配置别动)
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dingtalk_batch_size: 20000 # 钉钉消息分批大小(字节)(这个配置也别动)
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feishu_batch_size: 30000 # 飞书消息分批大小(字节)
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bark_batch_size: 4000 # Bark消息分批大小(字节)
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slack_batch_size: 4000 # Slack消息分批大小(字节)
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batch_send_interval: 3 # 批次发送间隔(秒)
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feishu_message_separator: "━━━━━━━━━━━━━━━━━━━" # feishu 消息分割线
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max_accounts_per_channel: 3 # 每个渠道最大账号数量,建议不超过 3
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# 🕐 推送时间窗口控制(可选功能)
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# 用途:限制推送的时间范围,避免非工作时间打扰
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# 适用场景:
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# - 只想在工作日白天接收推送(如 09:00-18:00)
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# - 希望在晚上固定时间收到汇总(如 20:00-22:00)
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push_window:
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enabled: false # 是否启用推送时间窗口控制,默认关闭
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# 注意:GitHub Actions 执行时间不稳定,时间范围建议至少留足 2 小时
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# 如果想要精准的定时推送,建议使用 Docker 部署在个人服务器上
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time_range:
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start: "20:00" # 推送时间窗口开始(北京时间)
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end: "22:00" # 推送时间窗口结束(北京时间)
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once_per_day: true # 每天在时间窗口内只推送一次,如果 false,则窗口内每次执行都推送
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# ⚠️⚠️⚠️ 重要安全警告 / IMPORTANT SECURITY WARNING ⚠️⚠️⚠️
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#
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# 🔴 请务必妥善保管好 webhooks,不要公开!!!
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# 🔴 如果你以 fork 的方式将本项目部署在 GitHub 上,请勿在下面填写任何 webhooks
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# 🔴 而是将 webhooks 填入 GitHub Secret(Settings → Secrets and variables → Actions)
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# 🔴 否则:
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# - 轻则:手机上收到大量垃圾广告推送
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# - 重则:webhook 被滥用造成严重安全隐患(如恶意消息轰炸、钓鱼链接等)
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#
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# 🔴 NEVER expose webhooks publicly!!!
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# 🔴 If deploying via GitHub fork, DO NOT fill webhooks below
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# 🔴 Instead, add them to GitHub Secrets (Settings → Secrets and variables → Actions)
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# 🔴 Consequences of exposure:
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# - Minor: Spam notifications flooding your devices
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# - Severe: Webhook abuse leading to security incidents (malicious messages, phishing links, etc.)
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#
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# ⚠️⚠️⚠️ 多账号推送说明 / MULTI-ACCOUNT PUSH NOTICE ⚠️⚠️⚠️
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#
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# 🔸 多账号支持:
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# • 请使用分号(;)分隔多个账号,如:"url1;url2;url3"
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# • 示例:telegram_bot_token: "token1;token2" 对应 telegram_chat_id: "id1;id2"
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# • 对于需要配对的配置(如 Telegram 的 token 和 chat_id),数量必须一致
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# • 每个渠道最多支持 max_accounts_per_channel 个账号(见上方配置)
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# • 邮箱已支持多收件人(逗号分隔),保持不变
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#
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# 🔸 Multi-Account Support:
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# • Use semicolon(;) to separate multiple accounts, e.g., "url1;url2;url3"
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# • Example: telegram_bot_token: "token1;token2" with telegram_chat_id: "id1;id2"
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# • For paired configs (e.g., Telegram token and chat_id), quantities must match
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# • Each channel supports up to max_accounts_per_channel accounts (see above config)
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# • Email already supports multiple recipients (comma-separated), unchanged
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#
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webhooks:
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feishu_url: "" # 飞书机器人的 webhook URL(多账号用 ; 分隔)
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dingtalk_url: "" # 钉钉机器人的 webhook URL(多账号用 ; 分隔)
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wework_url: "" # 企业微信机器人的 webhook URL(多账号用 ; 分隔)
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wework_msg_type: "markdown" # 企业微信消息类型:markdown(群机器人) 或 text(个人微信应用)
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telegram_bot_token: "" # Telegram Bot Token(多账号用 ; 分隔,需与 chat_id 数量一致)
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telegram_chat_id: "" # Telegram Chat ID(多账号用 ; 分隔,需与 bot_token 数量一致)
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email_from: "" # 发件人邮箱地址
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email_password: "" # 发件人邮箱密码或授权码
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email_to: "" # 收件人邮箱地址,多个收件人用逗号分隔
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email_smtp_server: "" # SMTP服务器地址(可选,留空自动识别)
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email_smtp_port: "" # SMTP端口(可选,留空自动识别)
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ntfy_server_url: "https://ntfy.sh" # ntfy服务器地址,默认使用公共服务,可改为自托管地址
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ntfy_topic: "" # ntfy主题名称(多账号用 ; 分隔)
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ntfy_token: "" # ntfy访问令牌(可选,用于私有主题,多账号用 ; 分隔)
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bark_url: "" # Bark推送URL(多账号用 ; 分隔,格式:https://api.day.app/your_device_key 或自建服务器地址)
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slack_webhook_url: "" # Slack Incoming Webhook URL(多账号用 ; 分隔)
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# 用于让关注度更高的新闻在更前面显示,即用算法重新组合不同平台的热搜排序形成你侧重的热搜,合起来是 1 就行
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weight:
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rank_weight: 0.6 # 排名权重
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frequency_weight: 0.3 # 频次权重
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hotness_weight: 0.1 # 热度权重
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# name 可以定义任意名称,只具有显示作用,即使项目运行了几天后,忽然改掉 name 也不会影响代码的正常运行
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# references: https://github.com/sansan0/TrendRadar/issues/95
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platforms:
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- id: "toutiao"
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name: "今日头条"
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- id: "baidu"
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name: "百度热搜"
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- id: "wallstreetcn-hot"
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name: "华尔街见闻"
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- id: "thepaper"
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name: "澎湃新闻"
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- id: "bilibili-hot-search"
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name: "bilibili 热搜"
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- id: "cls-hot"
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name: "财联社热门"
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- id: "ifeng"
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name: "凤凰网"
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- id: "tieba"
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name: "贴吧"
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- id: "weibo"
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name: "微博"
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- id: "douyin"
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name: "抖音"
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- id: "zhihu"
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name: "知乎"
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113
apps/trendradar/4.0.2/config/frequency_words.txt
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113
apps/trendradar/4.0.2/config/frequency_words.txt
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@@ -0,0 +1,113 @@
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胖东来
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于东来
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DeepSeek
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梁文锋
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华为
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鸿蒙
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HarmonyOS
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任正非
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比亚迪
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王传福
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大疆
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DJI
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宇树
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王兴兴
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智元
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灵犀
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稚晖君
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彭志辉
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黑神话
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冯骥
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影之刃零
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梁其伟
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哪吒
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饺子
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杨宇
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!车
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!餐
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三体
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流浪地球
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刘慈欣
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郭帆
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申奥
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京东
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刘强东
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字节
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bytedance
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张一鸣
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特斯拉
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马斯克
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微软
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Microsoft
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英伟达
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NVIDIA
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黄仁勋
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AMD
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谷歌
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google
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gemini
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deepmind
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chatgpt
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openai
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sora
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claude
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Anthropic
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iphone
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ipad
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mac
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ios
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ai
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!gai
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人工智能
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自动驾驶
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机器人
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国产
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中国
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美国
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日本
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韩国
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芯片
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光刻机
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科技
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核能
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水电站
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雅鲁藏布江
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新质生产力
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月球
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登月
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火星
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宇宙
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飞船
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航空
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78
apps/trendradar/4.0.2/data.yml
Normal file
78
apps/trendradar/4.0.2/data.yml
Normal file
@@ -0,0 +1,78 @@
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additionalProperties:
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formFields:additionalProperties:
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formFields:
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- default: 8080
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envKey: PANEL_APP_PORT_HTTP
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labelZh: HTTP 端口
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labelEn: HTTP Port
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label:
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zh: HTTP 端口
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en: HTTP Port
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description:
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zh: "HTTP 端口"
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en: "HTTP Port"
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required: true
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type: number
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edit: true
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rule: paramPort
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- default: ./data
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envKey: DATA_PATH
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labelZh: 输出路径
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labelEn: Output Path
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label:
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zh: 输出路径
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en: Output Path
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description:
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zh: 生成的报告和数据保存位置
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en: Generated reports and data storage location
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required: false
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type: text
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edit: true
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- default: "*/30 * * * *"
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envKey: CRON_SCHEDULE
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labelZh: 定时任务表达式
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labelEn: Cron Expression
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label:
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zh: 定时任务表达式
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en: Cron Expression
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required: false
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type: text
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edit: true
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- default: cron
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envKey: RUN_MODE
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labelZh: 运行模式
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labelEn: Run Mode
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label:
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zh: 运行模式
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en: Run Mode
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required: false
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type: select
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values:
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- label: Cron
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value: cron
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- label: Once
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value: once
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edit: true
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- default: "false"
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envKey: IMMEDIATE_RUN
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labelZh: 启动时立即执行一次
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labelEn: Execute immediately upon startup
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label:
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zh: 启动时立即执行一次
|
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en: Execute immediately upon startup
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required: false
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||||
type: select
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values:
|
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- label: "True"
|
||||
value: "true"
|
||||
- label: "False"
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value: "false"
|
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edit: true
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- default: "3333"
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envKey: MCP_PORT
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required: true
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||||
type: number
|
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labelEn: MCP_Port
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labelZh: MCP端口
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||||
edit: true
|
||||
rule: paramPort
|
||||
37
apps/trendradar/4.0.2/docker-compose.yml
Normal file
37
apps/trendradar/4.0.2/docker-compose.yml
Normal file
@@ -0,0 +1,37 @@
|
||||
services:
|
||||
trend-radar:
|
||||
image: wantcat/trendradar:4.0.2
|
||||
container_name: ${CONTAINER_NAME}
|
||||
restart: always
|
||||
ports:
|
||||
- ${PANEL_APP_PORT_HTTP}:8080
|
||||
volumes:
|
||||
- ../config:/app/config:ro
|
||||
- ${DATA_PATH}:/app/output
|
||||
environment:
|
||||
- TZ=Asia/Shanghai
|
||||
- CRON_SCHEDULE=${CRON_SCHEDULE}
|
||||
- RUN_MODE=${RUN_MODE}
|
||||
- IMMEDIATE_RUN=${IMMEDIATE_RUN}
|
||||
networks:
|
||||
- 1panel-network
|
||||
labels:
|
||||
createdBy: Apps
|
||||
trend-radar-mcp:
|
||||
image: wantcat/trendradar-mcp:1.1.0
|
||||
container_name: ${CONTAINER_NAME}-trend-radar-mcp
|
||||
restart: always
|
||||
ports:
|
||||
- ${MCP_PORT}:3333
|
||||
volumes:
|
||||
- ../config:/app/config:ro
|
||||
- ${DATA_PATH}:/app/output
|
||||
environment:
|
||||
- TZ=Asia/Shanghai
|
||||
networks:
|
||||
- 1panel-network
|
||||
labels:
|
||||
createdBy: Apps
|
||||
networks:
|
||||
1panel-network:
|
||||
external: true
|
||||
69
apps/trendradar/README.md
Normal file
69
apps/trendradar/README.md
Normal file
@@ -0,0 +1,69 @@
|
||||
# TrendRadar - 趋势雷达
|
||||
|
||||
一个轻量级的多平台趋势监控工具,帮助您实时跟踪各类热点话题和趋势变化。
|
||||
|
||||
## 🚀 核心功能
|
||||
|
||||
### 📊 多平台数据聚合
|
||||
- 集成 newsnow 项目 API,支持多个主流平台数据获取
|
||||
- 实时聚合热门话题和趋势数据
|
||||
- 智能数据清洗、去重和质量优化
|
||||
- 支持微博、知乎、百度等中文平台热点追踪
|
||||
|
||||
### 🤖 AI 智能分析
|
||||
- 基于人工智能的趋势分析引擎
|
||||
- 自动识别和分类热点话题
|
||||
- 趋势预测和发展评估
|
||||
- 智能关键词提取和主题归纳
|
||||
- 热度评分和趋势强度分析
|
||||
|
||||
### 📈 数据可视化
|
||||
- 直观的趋势图表和热力图展示
|
||||
- 多维度数据分析和交叉对比
|
||||
- 历史趋势回溯和预测展示
|
||||
- 交互式数据探索界面
|
||||
- 支持图表导出和分享
|
||||
|
||||
### 🔍 实时监控
|
||||
- 7×24小时持续监控和数据采集
|
||||
- 实时推送重要趋势变化通知
|
||||
- 自定义监控规则和关键词过滤
|
||||
- 异常波动检测和告警机制
|
||||
- 批量监控任务管理
|
||||
|
||||
### 💾 灵活存储架构
|
||||
- **本地存储**:SQLite数据库,完全自主可控
|
||||
- **云端存储**:支持S3兼容协议(Cloudflare R2、阿里云OSS、腾讯云COS等)
|
||||
- **数据备份**:自动备份和恢复机制
|
||||
- **存储优化**:数据压缩和归档策略
|
||||
|
||||
### 🔌 多种部署方式
|
||||
- **Docker部署**:一键容器化部署,最稳定简单
|
||||
- **GitHub Actions部署**:云端自动化运行
|
||||
- **MCP客户端支持**:集成Model Context Protocol
|
||||
|
||||
## 🎯 应用场景
|
||||
|
||||
- **市场研究**:跟踪行业趋势和竞争动态
|
||||
- **内容创作**:发现热门话题和创作灵感
|
||||
- **投资分析**:监控市场情绪和热点板块
|
||||
- **舆情监控**:实时了解品牌和行业动态
|
||||
|
||||
## ⚡ 核心特点
|
||||
|
||||
- **轻量部署**:最小化资源占用
|
||||
- **易用性强**:简洁直观的操作界面
|
||||
- **高可靠性**:稳定的数据获取和分析
|
||||
- **可扩展性**:支持多种部署方式
|
||||
|
||||
## 🛠️ 技术栈
|
||||
|
||||
- Python 后端开发
|
||||
- SQLite/云存储数据管理
|
||||
- AI 分析引擎
|
||||
- RESTful API 接口
|
||||
- Docker 容器化支持
|
||||
|
||||
---
|
||||
|
||||
**TrendRadar** - 让趋势洞察变得简单高效
|
||||
69
apps/trendradar/README_en.md
Normal file
69
apps/trendradar/README_en.md
Normal file
@@ -0,0 +1,69 @@
|
||||
# TrendRadar - Trend Radar
|
||||
|
||||
A lightweight multi-platform trend monitoring tool that helps you track various trending topics and trend changes in real-time.
|
||||
|
||||
## 🚀 Core Features
|
||||
|
||||
### 📊 Multi-Platform Data Aggregation
|
||||
- Integrated with newsnow project API for multiple mainstream platforms
|
||||
- Real-time aggregation of trending topics and data
|
||||
- Intelligent data cleaning, deduplication, and quality optimization
|
||||
- Support for Chinese platforms like Weibo, Zhihu, Baidu hot trends tracking
|
||||
|
||||
### 🤖 AI-Powered Analysis
|
||||
- AI-driven trend analysis engine
|
||||
- Automatic identification and categorization of trending topics
|
||||
- Trend prediction and development assessment
|
||||
- Intelligent keyword extraction and topic summarization
|
||||
- Heat score analysis and trend strength evaluation
|
||||
|
||||
### 📈 Data Visualization
|
||||
- Intuitive trend charts and heatmap displays
|
||||
- Multi-dimensional data analysis and cross-comparison
|
||||
- Historical trend retrospection and prediction display
|
||||
- Interactive data exploration interface
|
||||
- Support for chart export and sharing
|
||||
|
||||
### 🔍 Real-Time Monitoring
|
||||
- 7×24 continuous monitoring and data collection
|
||||
- Real-time push notifications for important trend changes
|
||||
- Customizable monitoring rules and keyword filtering
|
||||
- Anomaly detection and alert mechanisms
|
||||
- Batch monitoring task management
|
||||
|
||||
### 💾 Flexible Storage Architecture
|
||||
- **Local Storage**: SQLite database, fully autonomous and controllable
|
||||
- **Cloud Storage**: S3-compatible protocol support (Cloudflare R2, Alibaba Cloud OSS, Tencent Cloud COS, etc.)
|
||||
- **Data Backup**: Automatic backup and recovery mechanisms
|
||||
- **Storage Optimization**: Data compression and archival strategies
|
||||
|
||||
### 🔌 Multiple Deployment Options
|
||||
- **Docker Deployment**: One-click containerized deployment, most stable and simple
|
||||
- **GitHub Actions Deployment**: Cloud-based automated operation
|
||||
- **MCP Client Support**: Integrated with Model Context Protocol
|
||||
|
||||
## 🎯 Use Cases
|
||||
|
||||
- **Market Research**: Track industry trends and competitive dynamics
|
||||
- **Content Creation**: Discover trending topics and creative inspiration
|
||||
- **Investment Analysis**: Monitor market sentiment and hot sectors
|
||||
- **Reputation Monitoring**: Stay updated on brand and industry dynamics
|
||||
|
||||
## ⚡ Core Features
|
||||
|
||||
- **Lightweight Deployment**: Minimal resource footprint
|
||||
- **High Usability**: Simple and intuitive interface
|
||||
- **High Reliability**: Stable data acquisition and analysis
|
||||
- **Scalability**: Multiple deployment options supported
|
||||
|
||||
## 🛠️ Tech Stack
|
||||
|
||||
- Python backend development
|
||||
- SQLite/Cloud storage data management
|
||||
- AI analysis engine
|
||||
- RESTful API interface
|
||||
- Docker containerization support
|
||||
|
||||
---
|
||||
|
||||
**TrendRadar** - Making trend insights simple and efficient
|
||||
30
apps/trendradar/data.yml
Normal file
30
apps/trendradar/data.yml
Normal file
@@ -0,0 +1,30 @@
|
||||
name: TrendRadar
|
||||
tags:
|
||||
- 实用工具
|
||||
title: 多平台热点推送
|
||||
description: 多平台热点推送
|
||||
additionalProperties:
|
||||
key: trendradar
|
||||
name: TrendRadar
|
||||
tags:
|
||||
- Tool
|
||||
shortDescZh: 多平台热点推送
|
||||
shortDescEn: Multi-platform Hot Content Push
|
||||
description:
|
||||
en: Multi-platform Hot Content Push
|
||||
zh: 多平台热点推送
|
||||
zh-Hant: 多平台熱點推送
|
||||
ja: マルチプラットフォームホットコンテンツプッシュ
|
||||
ms: Tolakan Kandungan Panas Pelbagai Platform
|
||||
pt-br: Push de Conteúdo Quente Multiplataforma
|
||||
ru: Мультиплатформенная пуш-рассылка горячего контента
|
||||
ko: 멀티 플랫폼 핫 콘텐츠 푸시
|
||||
type: tool
|
||||
crossVersionUpdate: true
|
||||
limit: 0
|
||||
website: https://github.com/sansan0/TrendRadar
|
||||
github: https://github.com/sansan0/TrendRadar
|
||||
document: https://github.com/sansan0/TrendRadar
|
||||
architectures:
|
||||
- amd64
|
||||
- arm64
|
||||
187
apps/trendradar/latest/config/config.yaml
Normal file
187
apps/trendradar/latest/config/config.yaml
Normal file
@@ -0,0 +1,187 @@
|
||||
app:
|
||||
version_check_url: "https://raw.githubusercontent.com/sansan0/TrendRadar/refs/heads/master/version"
|
||||
show_version_update: true # 控制显示版本更新提示,如果 false,则不接受新版本提示
|
||||
# 时区配置(影响所有时间显示、推送窗口判断、数据存储)
|
||||
# 常用时区:
|
||||
# - Asia/Shanghai (北京时间 UTC+8)
|
||||
# - America/New_York (美东时间 UTC-5/-4)
|
||||
# - Europe/London (伦敦时间 UTC+0/+1)
|
||||
# 完整时区列表: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones
|
||||
timezone: "Asia/Shanghai"
|
||||
|
||||
# 存储配置
|
||||
storage:
|
||||
# 存储后端选择: local / remote / auto
|
||||
# - local: 本地 SQLite + TXT/HTML 文件
|
||||
# - remote: 远程云存储(S3 兼容协议,支持 R2/OSS/COS 等)
|
||||
# - auto: 自动选择(GitHub Actions 环境且配置了远程存储则用 remote,否则用 local)
|
||||
backend: "auto"
|
||||
|
||||
# 数据格式选项
|
||||
formats:
|
||||
sqlite: true # 主存储(必须启用)
|
||||
txt: false # 是否生成 TXT 快照
|
||||
html: false # 是否生成 HTML 报告(⚠️ 邮件推送必须设为 true,否则会报错)
|
||||
|
||||
# 本地存储配置
|
||||
local:
|
||||
data_dir: "output" # 数据目录
|
||||
retention_days: 0 # 本地数据保留天数(0 = 不清理)
|
||||
|
||||
# 远程存储配置(S3 兼容协议)
|
||||
# 支持: Cloudflare R2, 阿里云 OSS, 腾讯云 COS, AWS S3, MinIO 等
|
||||
# 建议将敏感信息配置在 GitHub Secrets 或环境变量中
|
||||
remote:
|
||||
# 数据保留天数(0 = 不清理远程数据)
|
||||
retention_days: 0
|
||||
# S3 兼容配置
|
||||
endpoint_url: "" # 服务端点(或环境变量 S3_ENDPOINT_URL)
|
||||
# Cloudflare R2: https://<account_id>.r2.cloudflarestorage.com
|
||||
# 阿里云 OSS: https://oss-cn-hangzhou.aliyuncs.com
|
||||
# 腾讯云 COS: https://cos.ap-guangzhou.myqcloud.com
|
||||
bucket_name: "" # 存储桶名称(或环境变量 S3_BUCKET_NAME)
|
||||
access_key_id: "" # 访问密钥 ID(或环境变量 S3_ACCESS_KEY_ID)
|
||||
secret_access_key: "" # 访问密钥(或环境变量 S3_SECRET_ACCESS_KEY)
|
||||
region: "" # 区域(可选,部分服务商需要,或环境变量 S3_REGION)
|
||||
|
||||
# 数据拉取配置(从远程同步到本地)
|
||||
# 用于 MCP Server 等场景:爬虫存到远程,MCP 拉取到本地分析
|
||||
pull:
|
||||
enabled: false # 是否启用启动时自动拉取
|
||||
days: 7 # 拉取最近 N 天的数据(0 = 不拉取)
|
||||
|
||||
crawler:
|
||||
request_interval: 1000 # 请求间隔(毫秒)
|
||||
enable_crawler: true # 是否启用爬取新闻功能,如果 false,则直接停止程序
|
||||
use_proxy: false # 是否启用代理,false 时为关闭
|
||||
default_proxy: "http://127.0.0.1:10801"
|
||||
|
||||
# 🔸 daily(当日汇总模式)
|
||||
# • 推送时机:按时推送(默认每小时推送一次)
|
||||
# • 显示内容:当日所有匹配新闻 + 新增新闻区域
|
||||
# • 适用场景:日报总结、全面了解当日热点趋势
|
||||
#
|
||||
# 🔸 current(当前榜单模式)
|
||||
# • 推送时机:按时推送(默认每小时推送一次)
|
||||
# • 显示内容:当前榜单匹配新闻 + 新增新闻区域
|
||||
# • 适用场景:实时热点追踪、了解当前最火的内容
|
||||
#
|
||||
# 🔸 incremental(增量监控模式)
|
||||
# • 推送时机:有新增才推送
|
||||
# • 显示内容:新出现的匹配频率词新闻
|
||||
# • 适用场景:避免重复信息干扰
|
||||
|
||||
# 推送模式选择
|
||||
report:
|
||||
mode: "daily" # 可选: "daily"|"incremental"|"current"
|
||||
rank_threshold: 5 # 排名高亮阈值
|
||||
sort_by_position_first: false # 排序优先级:true=先按配置位置排序,false=先按热点条数排序
|
||||
max_news_per_keyword: 0 # 每个关键词最大显示数量,0=不限制
|
||||
reverse_content_order: false # 内容顺序:false=热点词汇统计在前,true=新增热点新闻在前
|
||||
|
||||
notification:
|
||||
enable_notification: true # 是否启用通知功能,如果 false,则不发送手机通知
|
||||
message_batch_size: 4000 # 消息分批大小(字节)(这个配置别动)
|
||||
dingtalk_batch_size: 20000 # 钉钉消息分批大小(字节)(这个配置也别动)
|
||||
feishu_batch_size: 30000 # 飞书消息分批大小(字节)
|
||||
bark_batch_size: 4000 # Bark消息分批大小(字节)
|
||||
slack_batch_size: 4000 # Slack消息分批大小(字节)
|
||||
batch_send_interval: 3 # 批次发送间隔(秒)
|
||||
feishu_message_separator: "━━━━━━━━━━━━━━━━━━━" # feishu 消息分割线
|
||||
max_accounts_per_channel: 3 # 每个渠道最大账号数量,建议不超过 3
|
||||
|
||||
# 🕐 推送时间窗口控制(可选功能)
|
||||
# 用途:限制推送的时间范围,避免非工作时间打扰
|
||||
# 适用场景:
|
||||
# - 只想在工作日白天接收推送(如 09:00-18:00)
|
||||
# - 希望在晚上固定时间收到汇总(如 20:00-22:00)
|
||||
push_window:
|
||||
enabled: false # 是否启用推送时间窗口控制,默认关闭
|
||||
# 注意:GitHub Actions 执行时间不稳定,时间范围建议至少留足 2 小时
|
||||
# 如果想要精准的定时推送,建议使用 Docker 部署在个人服务器上
|
||||
time_range:
|
||||
start: "20:00" # 推送时间窗口开始(北京时间)
|
||||
end: "22:00" # 推送时间窗口结束(北京时间)
|
||||
once_per_day: true # 每天在时间窗口内只推送一次,如果 false,则窗口内每次执行都推送
|
||||
|
||||
# ⚠️⚠️⚠️ 重要安全警告 / IMPORTANT SECURITY WARNING ⚠️⚠️⚠️
|
||||
#
|
||||
# 🔴 请务必妥善保管好 webhooks,不要公开!!!
|
||||
# 🔴 如果你以 fork 的方式将本项目部署在 GitHub 上,请勿在下面填写任何 webhooks
|
||||
# 🔴 而是将 webhooks 填入 GitHub Secret(Settings → Secrets and variables → Actions)
|
||||
# 🔴 否则:
|
||||
# - 轻则:手机上收到大量垃圾广告推送
|
||||
# - 重则:webhook 被滥用造成严重安全隐患(如恶意消息轰炸、钓鱼链接等)
|
||||
#
|
||||
# 🔴 NEVER expose webhooks publicly!!!
|
||||
# 🔴 If deploying via GitHub fork, DO NOT fill webhooks below
|
||||
# 🔴 Instead, add them to GitHub Secrets (Settings → Secrets and variables → Actions)
|
||||
# 🔴 Consequences of exposure:
|
||||
# - Minor: Spam notifications flooding your devices
|
||||
# - Severe: Webhook abuse leading to security incidents (malicious messages, phishing links, etc.)
|
||||
#
|
||||
# ⚠️⚠️⚠️ 多账号推送说明 / MULTI-ACCOUNT PUSH NOTICE ⚠️⚠️⚠️
|
||||
#
|
||||
# 🔸 多账号支持:
|
||||
# • 请使用分号(;)分隔多个账号,如:"url1;url2;url3"
|
||||
# • 示例:telegram_bot_token: "token1;token2" 对应 telegram_chat_id: "id1;id2"
|
||||
# • 对于需要配对的配置(如 Telegram 的 token 和 chat_id),数量必须一致
|
||||
# • 每个渠道最多支持 max_accounts_per_channel 个账号(见上方配置)
|
||||
# • 邮箱已支持多收件人(逗号分隔),保持不变
|
||||
#
|
||||
# 🔸 Multi-Account Support:
|
||||
# • Use semicolon(;) to separate multiple accounts, e.g., "url1;url2;url3"
|
||||
# • Example: telegram_bot_token: "token1;token2" with telegram_chat_id: "id1;id2"
|
||||
# • For paired configs (e.g., Telegram token and chat_id), quantities must match
|
||||
# • Each channel supports up to max_accounts_per_channel accounts (see above config)
|
||||
# • Email already supports multiple recipients (comma-separated), unchanged
|
||||
#
|
||||
webhooks:
|
||||
feishu_url: "" # 飞书机器人的 webhook URL(多账号用 ; 分隔)
|
||||
dingtalk_url: "" # 钉钉机器人的 webhook URL(多账号用 ; 分隔)
|
||||
wework_url: "" # 企业微信机器人的 webhook URL(多账号用 ; 分隔)
|
||||
wework_msg_type: "markdown" # 企业微信消息类型:markdown(群机器人) 或 text(个人微信应用)
|
||||
telegram_bot_token: "" # Telegram Bot Token(多账号用 ; 分隔,需与 chat_id 数量一致)
|
||||
telegram_chat_id: "" # Telegram Chat ID(多账号用 ; 分隔,需与 bot_token 数量一致)
|
||||
email_from: "" # 发件人邮箱地址
|
||||
email_password: "" # 发件人邮箱密码或授权码
|
||||
email_to: "" # 收件人邮箱地址,多个收件人用逗号分隔
|
||||
email_smtp_server: "" # SMTP服务器地址(可选,留空自动识别)
|
||||
email_smtp_port: "" # SMTP端口(可选,留空自动识别)
|
||||
ntfy_server_url: "https://ntfy.sh" # ntfy服务器地址,默认使用公共服务,可改为自托管地址
|
||||
ntfy_topic: "" # ntfy主题名称(多账号用 ; 分隔)
|
||||
ntfy_token: "" # ntfy访问令牌(可选,用于私有主题,多账号用 ; 分隔)
|
||||
bark_url: "" # Bark推送URL(多账号用 ; 分隔,格式:https://api.day.app/your_device_key 或自建服务器地址)
|
||||
slack_webhook_url: "" # Slack Incoming Webhook URL(多账号用 ; 分隔)
|
||||
|
||||
# 用于让关注度更高的新闻在更前面显示,即用算法重新组合不同平台的热搜排序形成你侧重的热搜,合起来是 1 就行
|
||||
weight:
|
||||
rank_weight: 0.6 # 排名权重
|
||||
frequency_weight: 0.3 # 频次权重
|
||||
hotness_weight: 0.1 # 热度权重
|
||||
|
||||
# name 可以定义任意名称,只具有显示作用,即使项目运行了几天后,忽然改掉 name 也不会影响代码的正常运行
|
||||
# references: https://github.com/sansan0/TrendRadar/issues/95
|
||||
platforms:
|
||||
- id: "toutiao"
|
||||
name: "今日头条"
|
||||
- id: "baidu"
|
||||
name: "百度热搜"
|
||||
- id: "wallstreetcn-hot"
|
||||
name: "华尔街见闻"
|
||||
- id: "thepaper"
|
||||
name: "澎湃新闻"
|
||||
- id: "bilibili-hot-search"
|
||||
name: "bilibili 热搜"
|
||||
- id: "cls-hot"
|
||||
name: "财联社热门"
|
||||
- id: "ifeng"
|
||||
name: "凤凰网"
|
||||
- id: "tieba"
|
||||
name: "贴吧"
|
||||
- id: "weibo"
|
||||
name: "微博"
|
||||
- id: "douyin"
|
||||
name: "抖音"
|
||||
- id: "zhihu"
|
||||
name: "知乎"
|
||||
113
apps/trendradar/latest/config/frequency_words.txt
Normal file
113
apps/trendradar/latest/config/frequency_words.txt
Normal file
@@ -0,0 +1,113 @@
|
||||
胖东来
|
||||
于东来
|
||||
|
||||
DeepSeek
|
||||
梁文锋
|
||||
|
||||
华为
|
||||
鸿蒙
|
||||
HarmonyOS
|
||||
任正非
|
||||
|
||||
比亚迪
|
||||
王传福
|
||||
|
||||
大疆
|
||||
DJI
|
||||
|
||||
宇树
|
||||
王兴兴
|
||||
|
||||
智元
|
||||
灵犀
|
||||
稚晖君
|
||||
彭志辉
|
||||
|
||||
黑神话
|
||||
冯骥
|
||||
|
||||
影之刃零
|
||||
梁其伟
|
||||
|
||||
哪吒
|
||||
饺子
|
||||
杨宇
|
||||
!车
|
||||
!餐
|
||||
|
||||
三体
|
||||
流浪地球
|
||||
刘慈欣
|
||||
郭帆
|
||||
|
||||
申奥
|
||||
|
||||
京东
|
||||
刘强东
|
||||
|
||||
字节
|
||||
bytedance
|
||||
张一鸣
|
||||
|
||||
特斯拉
|
||||
马斯克
|
||||
|
||||
微软
|
||||
Microsoft
|
||||
|
||||
英伟达
|
||||
NVIDIA
|
||||
黄仁勋
|
||||
|
||||
AMD
|
||||
|
||||
谷歌
|
||||
google
|
||||
gemini
|
||||
deepmind
|
||||
|
||||
chatgpt
|
||||
openai
|
||||
sora
|
||||
|
||||
claude
|
||||
Anthropic
|
||||
|
||||
iphone
|
||||
ipad
|
||||
mac
|
||||
ios
|
||||
|
||||
ai
|
||||
!gai
|
||||
人工智能
|
||||
|
||||
自动驾驶
|
||||
|
||||
机器人
|
||||
|
||||
国产
|
||||
中国
|
||||
|
||||
美国
|
||||
日本
|
||||
韩国
|
||||
|
||||
芯片
|
||||
光刻机
|
||||
|
||||
科技
|
||||
|
||||
核能
|
||||
|
||||
水电站
|
||||
雅鲁藏布江
|
||||
|
||||
新质生产力
|
||||
|
||||
月球
|
||||
登月
|
||||
火星
|
||||
宇宙
|
||||
飞船
|
||||
航空
|
||||
78
apps/trendradar/latest/data.yml
Normal file
78
apps/trendradar/latest/data.yml
Normal file
@@ -0,0 +1,78 @@
|
||||
additionalProperties:
|
||||
formFields:additionalProperties:
|
||||
formFields:
|
||||
- default: 8080
|
||||
envKey: PANEL_APP_PORT_HTTP
|
||||
labelZh: HTTP 端口
|
||||
labelEn: HTTP Port
|
||||
label:
|
||||
zh: HTTP 端口
|
||||
en: HTTP Port
|
||||
description:
|
||||
zh: "HTTP 端口"
|
||||
en: "HTTP Port"
|
||||
required: true
|
||||
type: number
|
||||
edit: true
|
||||
rule: paramPort
|
||||
- default: ./data
|
||||
envKey: DATA_PATH
|
||||
labelZh: 输出路径
|
||||
labelEn: Output Path
|
||||
label:
|
||||
zh: 输出路径
|
||||
en: Output Path
|
||||
description:
|
||||
zh: 生成的报告和数据保存位置
|
||||
en: Generated reports and data storage location
|
||||
required: false
|
||||
type: text
|
||||
edit: true
|
||||
- default: "*/30 * * * *"
|
||||
envKey: CRON_SCHEDULE
|
||||
labelZh: 定时任务表达式
|
||||
labelEn: Cron Expression
|
||||
label:
|
||||
zh: 定时任务表达式
|
||||
en: Cron Expression
|
||||
required: false
|
||||
type: text
|
||||
edit: true
|
||||
- default: cron
|
||||
envKey: RUN_MODE
|
||||
labelZh: 运行模式
|
||||
labelEn: Run Mode
|
||||
label:
|
||||
zh: 运行模式
|
||||
en: Run Mode
|
||||
required: false
|
||||
type: select
|
||||
values:
|
||||
- label: Cron
|
||||
value: cron
|
||||
- label: Once
|
||||
value: once
|
||||
edit: true
|
||||
- default: "false"
|
||||
envKey: IMMEDIATE_RUN
|
||||
labelZh: 启动时立即执行一次
|
||||
labelEn: Execute immediately upon startup
|
||||
label:
|
||||
zh: 启动时立即执行一次
|
||||
en: Execute immediately upon startup
|
||||
required: false
|
||||
type: select
|
||||
values:
|
||||
- label: "True"
|
||||
value: "true"
|
||||
- label: "False"
|
||||
value: "false"
|
||||
edit: true
|
||||
- default: "3333"
|
||||
envKey: MCP_PORT
|
||||
required: true
|
||||
type: number
|
||||
labelEn: MCP_Port
|
||||
labelZh: MCP端口
|
||||
edit: true
|
||||
rule: paramPort
|
||||
37
apps/trendradar/latest/docker-compose.yml
Normal file
37
apps/trendradar/latest/docker-compose.yml
Normal file
@@ -0,0 +1,37 @@
|
||||
services:
|
||||
trend-radar:
|
||||
image: wantcat/trendradar:latest
|
||||
container_name: ${CONTAINER_NAME}
|
||||
restart: always
|
||||
ports:
|
||||
- ${PANEL_APP_PORT_HTTP}:8080
|
||||
volumes:
|
||||
- ../config:/app/config:ro
|
||||
- ${DATA_PATH}:/app/output
|
||||
environment:
|
||||
- TZ=Asia/Shanghai
|
||||
- CRON_SCHEDULE=${CRON_SCHEDULE}
|
||||
- RUN_MODE=${RUN_MODE}
|
||||
- IMMEDIATE_RUN=${IMMEDIATE_RUN}
|
||||
networks:
|
||||
- 1panel-network
|
||||
labels:
|
||||
createdBy: Apps
|
||||
trend-radar-mcp:
|
||||
image: wantcat/trendradar-mcp:latest
|
||||
container_name: ${CONTAINER_NAME}-trend-radar-mcp
|
||||
restart: always
|
||||
ports:
|
||||
- ${MCP_PORT}:3333
|
||||
volumes:
|
||||
- ../config:/app/config:ro
|
||||
- ${DATA_PATH}:/app/output
|
||||
environment:
|
||||
- TZ=Asia/Shanghai
|
||||
networks:
|
||||
- 1panel-network
|
||||
labels:
|
||||
createdBy: Apps
|
||||
networks:
|
||||
1panel-network:
|
||||
external: true
|
||||
BIN
apps/trendradar/logo.png
Normal file
BIN
apps/trendradar/logo.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 56 KiB |
Reference in New Issue
Block a user