From 7752b4b3b404eaa809128960f0fcd61c7e175ddb Mon Sep 17 00:00:00 2001 From: bigbrother666sh Date: Tue, 10 Dec 2024 14:18:03 +0800 Subject: [PATCH] V0.3.5 --- CHANGELOG.md | 2 +- Dockerfile | 1 - README.md | 190 +++++++++--------- asset/sample.png | Bin 545971 -> 0 bytes compose.yaml | 3 +- core/agents/get_info.py | 5 +- core/docker_entrypoint.sh | 2 +- core/general_process.py | 82 +++----- core/run.sh | 2 +- core/run_task.sh | 18 ++ core/tasks.py | 27 +-- pb/README.md | 2 +- .../1733204939_created_articles.js | 121 ----------- .../1733465426_updated_articles.js | 28 --- pb/pb_migrations/1733465563_created_infos.js | 13 -- pb/pb_migrations/1733753289_updated_infos.js | 39 ++++ .../1733753354_updated_focus_points.js | 42 ++++ version | 2 +- 18 files changed, 247 insertions(+), 332 deletions(-) delete mode 100644 asset/sample.png create mode 100755 core/run_task.sh delete mode 100644 pb/pb_migrations/1733204939_created_articles.js delete mode 100644 pb/pb_migrations/1733465426_updated_articles.js create mode 100644 pb/pb_migrations/1733753289_updated_infos.js create mode 100644 pb/pb_migrations/1733753354_updated_focus_points.js diff --git a/CHANGELOG.md b/CHANGELOG.md index 9a49097..49308d5 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,4 +1,4 @@ -# V0.3.2 +# V0.3.5 - 引入 Crawlee(playwrigt模块),大幅提升通用爬取能力,适配实际项目场景; Introduce Crawlee (playwright module), significantly enhancing general crawling capabilities and adapting to real-world task; diff --git a/Dockerfile b/Dockerfile index b35991b..6bc63dd 100644 --- a/Dockerfile +++ b/Dockerfile @@ -14,7 +14,6 @@ ADD https://github.com/pocketbase/pocketbase/releases/download/v0.23.4/pocketbas # for arm device # ADD https://github.com/pocketbase/pocketbase/releases/download/v0.23.4/pocketbase_0.23.4_linux_arm64.zip /tmp/pb.zip RUN unzip /tmp/pb.zip -d /pb/ -COPY pb/pb_migrations /pb/pb_migrations RUN apt-get clean && rm -rf /var/lib/apt/lists/* EXPOSE 8090 diff --git a/README.md b/README.md index be528a8..885ab22 100644 --- a/README.md +++ b/README.md @@ -8,42 +8,34 @@ 🌱看看首席情报官是如何帮您节省时间,过滤无关信息,并整理关注要点的吧!🌱 -https://github.com/TeamWiseFlow/wiseflow/assets/96130569/bd4b2091-c02d-4457-9ec6-c072d8ddfb16 -## 🔥 隆重介绍 V0.3.2 版本 +## 🔥 隆重介绍 V0.3.5 版本 -在充分听取社区反馈意见基础之上,我们重新提炼了 wiseflow 的产品定位,新定位更加精准也更加聚焦,V0.3.2版本即是该定位下的全新架构版本,相对于之前版本如下改进: +在充分听取社区反馈意见基础之上,我们重新提炼了 wiseflow 的产品定位,新定位更加聚焦,V0.3.5版本即是该定位下的全新架构版本: -- 引入 [Crawlee](https://github.com/apify/crawlee-python) 基础爬虫架构,大幅提升页面获取能力。实测之前获取不到(包括获取为乱码的)页面目前都可以很好的获取了,后续大家碰到不能很好获取的页面,欢迎在 [issue #136](https://github.com/TeamWiseFlow/wiseflow/issues/136) 中进行反馈; -- 新产品定位下全新的信息提取策略——“爬查一体”,放弃文章详细提取,全面使用 llm 直接从页面中提取用户感兴趣的信息(infos),同时自动判断值得跟进爬取的链接; +- 引入 [Crawlee](https://github.com/apify/crawlee-python) 作为基础爬虫和任务管理框架,大幅提升页面获取能力。实测之前获取不到(包括获取为乱码的)页面目前都可以很好的获取了,后续大家碰到不能很好获取的页面,欢迎在 [issue #136](https://github.com/TeamWiseFlow/wiseflow/issues/136) 中进行反馈; +- 新产品定位下全新的信息提取策略——“爬查一体”,放弃文章详细提取,爬取过程中即使用 llm 直接提取用户感兴趣的信息(infos),同时自动判断值得跟进爬取的链接,**你关注的才是你需要的**; - 适配最新版本(v0.23.4)的 Pocketbase,同时更新表单配置。另外新架构已经无需 GNE 等模块,requirement 依赖项目降低到8个; - 新架构部署方案也更加简便,docker 模式支持代码仓热更新,这意味着后续升级就无需再重复docker build了。 - 更多细节,参考 [CHANGELOG](CHANGELOG.md) -🌟 注意: +🌟 **V0.3.x 后续计划** -V0.3.2 架构和依赖上都较之前版本有诸多变化,因此请务必重新拉取代码仓,并参考最新的部署方案重新部署,V0.3.2支持python 环境源码使用、docker 容器部署,同时我们也即将上线免部署的服务网站,注册账号就可以直接使用,敬请期待! - -V0.3.2 版本效果截图: - -sample.png - -V0.3.x 后续计划中的升级内容还有: - -- 尝试引入新的 mp_crawler, 公众号文章监控无需wxbot; -- 引入对 RSS 信息源的支持; -- 引入 [SeeAct](https://github.com/OSU-NLP-Group/SeeAct) 方案,通过视觉大模型提升 wiseflow 自主深入挖掘能力。 +- 引入 [SeeAct](https://github.com/OSU-NLP-Group/SeeAct) 方案,通过视觉大模型指导复杂页面的操作,如滚动、点击后出现信息等情况(V0.3.6); +- 尝试支持微信公众号免wxbot订阅(V0.3.7); +- 引入对 RSS 信息源的支持(V0.3.8); +- 尝试引入 LLM 驱动的轻量级知识图谱,帮助用户从 infos 中建立洞察(V0.3.9)。 ## ✋ wiseflow 与传统的爬虫工具、AI搜索、知识库(RAG)项目有何不同? -承蒙大家的厚爱,wiseflow自2024年6月底发布 V0.3.0版本来受到了开源社区的广泛关注,甚至吸引了不少自媒体的主动报道,在此首先表示感谢! +wiseflow自2024年6月底发布 V0.3.0版本来受到了开源社区的广泛关注,甚至吸引了不少自媒体的主动报道,在此首先表示感谢! -但我们也注意到部分关注者对 wiseflow 的功能定位存在一些理解偏差,如下表格列出了 wiseflow 与传统爬虫工具、AI搜索、知识库(RAG)类项目的对比: +但我们也注意到部分关注者对 wiseflow 的功能定位存在一些理解偏差,如下表格通过与传统爬虫工具、AI搜索、知识库(RAG)类项目的对比,代表了我们目前对于 wiseflow 产品最新定位思考。 | | 与 **首席情报官(Wiseflow)** 的比较说明| |-------------|-----------------| -| **爬虫类工具** | 首先 wiseflow 是基于爬虫工具的项目(以目前的版本而言,wiseflow 集成了优秀的开源爬虫项目 Crwalee,而 Crawlee 的底层又是基于 beautifulsoup\playwright\httpx等大家耳熟能详的流行库)……但传统的爬虫工具都是面向开发者的,需要开发者手动去探索目标站点的结构,分析出要提取元素的 xpath 等,这不仅阻挡了普通用户,同时也毫无通用性可言,即对于不同网站(包括已有网站升级)都需要重做分析和探索。这个问题在 LLM 出现之前是无解的,而wiseflow致力的方向即是使用 LLM 自动化目标站点的分析和探索工作,从而实现“普通用户也可使用的通用爬虫”,从这个角度来说,你可以简单理解 wiseflow 为 “能自动使用爬虫工具的 AI 智能体” | +| **爬虫类工具** | 首先 wiseflow 是基于爬虫工具的项目(以目前版本而言,我们基于爬虫框架 Crawlee),但传统的爬虫工具在信息提取方面需要人工的介入,提供明确的 Xpath 等信息……这不仅阻挡了普通用户,同时也毫无通用性可言,对于不同网站(包括已有网站升级后)都需要人工重做分析,并更新提取代码。wiseflow致力于使用 LLM 自动化网页的分析和提取工作,用户只要告诉程序他的关注点即可,从这个角度来说,可以简单理解 wiseflow 为 “能自动使用爬虫工具的 AI 智能体” | | **AI搜索** | AI搜索主要的应用场景是**具体问题的即时问答**,举例:”XX公司的创始人是谁“、“xx品牌下的xx产品哪里有售” ,用户要的是**一个答案**;wiseflow主要的应用场景是**某一方面信息的持续采集**,比如XX公司的关联信息追踪,XX品牌市场行为的持续追踪……在这些场景下,用户能提供关注点(某公司、某品牌)、甚至能提供信源(站点 url 等),但无法提出具体搜索问题,用户要的是**一系列相关信息**| | **知识库(RAG)类项目** | 知识库(RAG)类项目一般是基于已有信息的下游任务,并且一般面向的是私有知识(比如企业内的操作手册、产品手册、政府部门的文件等);wiseflow 目前并未整合下游任务,同时面向的是互联网上的公开信息,如果从“智能体”的角度来看,二者属于为不同目的而构建的智能体,RAG 类项目是“(内部)知识助理智能体”,而 wiseflow 则是“(外部)信息采集智能体”| @@ -57,31 +49,56 @@ V0.3.x 后续计划中的升级内容还有: git clone https://github.com/TeamWiseFlow/wiseflow.git ``` -### 2. 参考env_sample 配置 .env文件放置在 core 目录下 +### 2. 参考 env_sample 配置 .env 文件放置在 core 目录下 -🌟 **这里与之前版本不同**,V0.3.2开始需要把 .env 放置在 core文件夹中。 +🌟 **这里与之前版本不同**,V0.3.5开始需要把 .env 放置在 core文件夹中。 -另外 V0.3.2 起,env 配置也大幅简化了,必须的配置项目只有三项,具体如下: +另外 V0.3.5 起,env 配置也大幅简化了,必须的配置项目只有三项,具体如下: -- LLM_API_KEY="" # 这还是你的大模型服务key,这是必须的 -- LLM_API_BASE="https://api.siliconflow.cn/v1" # 服务接口地址,任何支持 openai sdk 的服务商都可以(推荐 siliconflow),如果直接使用openai 的服务,这一项也可以不填 -- PB_API_AUTH="test@example.com|1234567890" # pocketbase 数据库的 superuser 用户名和密码,记得用 | 分隔 +- LLM_API_KEY="" + + 大模型服务key,这是必须的 + +- LLM_API_BASE="https://api.siliconflow.cn/v1" + + 服务接口地址,任何支持 openai sdk 的服务商都可以,如果直接使用openai 的服务,这一项也可以不填 + +- PB_API_AUTH="test@example.com|1234567890" + + pocketbase 数据库的 superuser 用户名和密码,记得用 | 分隔 下面的都是可选配置: -- #VERBOSE="true" # 是否开启观测模式,开启的话,不仅会把 debug log信息记录在 logger 文件上(模式仅是输出在 console 上),同时会开启 playwright 的浏览器窗口,方便你观察抓取过程,但同时会增加抓取速度; -- #PRIMARY_MODEL="Qwen/Qwen2.5-7B-Instruct" # 主模型选择,在使用 siliconflow 服务的情况下,这一项不填就会默认调用Qwen2.5-7B-Instruct,实测基本也够用,但我更加**推荐 Qwen2.5-14B-Instruct** -- #SECONDARY_MODEL="THUDM/glm-4-9b-chat" # 副模型选择,在使用 siliconflow 服务的情况下,这一项不填就会默认调用glm-4-9b-chat。 -- #PROJECT_DIR="work_dir" # 项目运行数据目录,不配置的话,默认在 `core/work_dir` ,注意:目前整个 core 目录是挂载到 container 下的,所以意味着你可以直接访问这里。 -- #PB_API_BASE"="" # 只有当你的 pocketbase 不运行在默认ip 或端口下才需要配置,默认情况下忽略就行。 +- #VERBOSE="true" + 是否开启观测模式,开启的话,不仅会把 debug log信息记录在 logger 文件上(默认仅输出在 console 上),同时会开启 playwright 的浏览器窗口,方便观察抓取过程; -### 3.1 使用docker构筑 image 运行 +- #PRIMARY_MODEL="Qwen/Qwen2.5-7B-Instruct" + + 主模型选择,在使用 siliconflow 服务的情况下,这一项不填就会默认调用Qwen2.5-7B-Instruct,实测基本也够用,但我更加**推荐 Qwen2.5-14B-Instruct** + +- #SECONDARY_MODEL="THUDM/glm-4-9b-chat" + + 副模型选择,在使用 siliconflow 服务的情况下,这一项不填就会默认调用glm-4-9b-chat。 + +- #PROJECT_DIR="work_dir" + + 项目运行数据目录,不配置的话,默认在 `core/work_dir` ,注意:目前整个 core 目录是挂载到 container 下的,所以意味着你可以直接访问这里。 + +- #PB_API_BASE="" + + 只有当你的 pocketbase 不运行在默认ip 或端口下才需要配置,默认情况下忽略就行。 + +### 3.1 使用docker运行 + +✋ V0.3.5版本架构和依赖与之前版本有较大不同,请务必重新拉取代码,删除旧版本镜像(包括外挂的 pb_data 文件夹),重新build! 对于国内用户,可以先配置镜像源: 最新可用 docker 镜像加速地址参考:[参考1](https://github.com/dongyubin/DockerHub) [参考2](https://www.coderjia.cn/archives/dba3f94c-a021-468a-8ac6-e840f85867ea) -🌟 **三方镜像,风险自担。** +**三方镜像,风险自担。** + +之后 ```bash cd wiseflow @@ -90,14 +107,14 @@ docker compose up **注意:** -第一次运行docker container时可能会遇到报错,这其实是正常现象,因为你尚未为pb仓库创建 super user 账号。 - -此时请保持container不关闭状态,浏览器打开`http://127.0.0.1:8090/_/ `,按提示创建 super user 账号(一定要使用邮箱),然后将创建的用户名密码填入.env文件,重启container即可。 +第一次运行docker container时程序可能会报错,这是正常现象,请按屏幕提示创建 super user 账号(一定要使用邮箱),然后将创建的用户名密码填入.env文件,重启container即可。 -🌟 docker运行默认进入 task +🌟 docker方案默认运行 task.py ,即会周期性执行爬取-提取任务(启动时会立即先执行一次,之后每隔一小时启动一次) ### 3.2 使用python环境运行 +✋ V0.3.5版本架构和依赖与之前版本有较大不同,请务必重新拉取代码,删除(或重建)pb_data + 推荐使用 conda 构建虚拟环境 ```bash @@ -108,89 +125,65 @@ cd core pip install -r requirements.txt ``` -之后可以参考core/scripts 中的脚本分别启动pb、task和backend (将脚本文件移动到core目录下) - -**注意:** - - 一定要先启动pb,至于task和backend是独立进程,先后顺序无所谓,也可以按需求只启动其中一个; - - 需要先去这里 https://pocketbase.io/docs/ 下载对应自己设备的pocketbase客户端,并放置在 /core/pb 目录下 - - pb运行问题(包括首次运行报错等)参考 [core/pb/README.md](/pb/README.md) - - 使用前请创建并编辑.env文件,放置在wiseflow代码仓根目录(core目录的上级),.env文件可以参考env_sample,详细配置说明见下 +之后去这里 [下载](https://pocketbase.io/docs/) 对应的 pocketbase 客户端,放置到 [/pb](/pb) 目录下。然后 -📚 for developer, see [/core/README.md](/core/README.md) for more - -通过 pocketbase 访问获取的数据: - - http://127.0.0.1:8090/_/ - Admin dashboard UI - - http://127.0.0.1:8090/api/ - REST API - +```bash +chmod +x run.sh +./run_task.sh # if you just want to scan sites one-time (no loop), use ./run.sh +``` -### 3. 配置 +这个脚本会自动判断 pocketbase 是否已经在运行,如果未运行,会自动拉起。但是请注意,当你 ctrl+c 或者 ctrl+z 终止进程时,pocketbase 进程不会被终止,直到你关闭terminal。 -复制目录下的env_sample,并改名为.env, 参考如下 填入你的配置信息(LLM服务token等) - -**windows用户如果选择直接运行python程序,可以直接在 “开始 - 设置 - 系统 - 关于 - 高级系统设置 - 环境变量“ 中设置如下项目,设置后需要重启终端生效** +另外与 docker 部署一样,第一次运行时可能会出现报错,请按屏幕提示创建 super user 账号(一定要使用邮箱),然后将创建的用户名密码填入.env文件,再次运行即可。 - - LLM_API_KEY # 大模型推理服务API KEY - - LLM_API_BASE # 本项目依赖openai sdk,只要模型服务支持openai接口,就可以通过配置该项正常使用,如使用openai服务,删除这一项即可 - - WS_LOG="verbose" # 设定是否开始debug观察,如无需要,删除即可 - - GET_INFO_MODEL # 信息提炼与标签匹配任务模型,默认为 gpt-4o-mini-2024-07-18 - - REWRITE_MODEL # 近似信息合并改写任务模型,默认为 gpt-4o-mini-2024-07-18 - - HTML_PARSE_MODEL # 网页解析模型(GNE算法效果不佳时智能启用),默认为 gpt-4o-mini-2024-07-18 - - PROJECT_DIR # 数据、缓存以及日志文件存储位置,相对于代码仓的相对路径,默认不填就在代码仓 - - PB_API_AUTH='email|password' # pb数据库admin的邮箱和密码(注意一定是邮箱,可以是虚构的邮箱) - - PB_API_BASE # 正常使用无需这一项,只有当你不使用默认的pocketbase本地接口(8090)时才需要 - - -### 4. 模型推荐 [2024-09-03] +当然你也可以在另一个 terminal 提前运行并设定 pocketbase(这会避免第一次的报错),具体可以参考 [pb/README.md](/pb/README.md) -经过反复测试(中英文任务)**GET_INFO_MODEL**、**REWRITE_MODEL**、**HTML_PARSE_MODEL** 三项最小可用模型分别为:**"THUDM/glm-4-9b-chat"**、**"Qwen/Qwen2-7B-Instruct"**、**"Qwen/Qwen2-7B-Instruct"** - -目前,SiliconFlow已经官宣Qwen2-7B-Instruct、glm-4-9b-chat在线推理服务免费,这意味着您可以“零成本”使用wiseflow啦! +### 4. 模型推荐 [2024-12-09] + +虽然参数量越大的模型意味着更佳的性能,但经过实测,**使用 Qwen2.5-7b-Instruct 和 glm-4-9b-chat 模型,即可以达到基本的效果**。不过综合考虑成本、速度和效果,我更加推荐主模型 +**(PRIMARY_MODEL)使用Qwen2.5-14B-Instruct**。 + +这里依然强烈推荐使用 siliconflow(硅基流动)的 MaaS 服务,提供多个主流开源模型的服务,量大管饱,Qwen2.5-7b-Instruct 和 glm-4-9b-chat 目前提供免费服务。(主模型使用Qwen2.5-14B-Instruct情况下,爬取374个网页,有效抽取43条 info,总耗费¥3.07) -😄 如果您愿意,可以使用我的[siliconflow邀请链接](https://cloud.siliconflow.cn?referrer=clx6wrtca00045766ahvexw92),这样我也可以获得更多token奖励 😄 +😄 如果您愿意,可以使用我的[siliconflow邀请链接](https://cloud.siliconflow.cn?referrer=clx6wrtca00045766ahvexw92),这样我也可以获得更多token奖励 🌹 -⚠️ **V0.3.1更新** - -如果您使用带explaination的复杂tag,那么glm-4-9b-chat规模的模型是无法保证准确理解的,目前测试下来针对该类型任务效果比较好的模型为 **Qwen/Qwen2-72B-Instruct** 和 **gpt-4o-mini-2024-07-18** 。 +**如果您的信源多为非中文页面,且也不要求提取出的 info 为中文,那么更推荐您使用 openai 或者 claude 等海外厂家的模型。** -针对有需求使用 `gpt-4o-mini-2024-07-18` 的用户,可以尝试第三方代理 **AiHubMix**,支持国内网络环境直连、支付宝充值(实际费率相当于官网86折) +您可以尝试第三方代理 **AiHubMix**,支持国内网络环境直连、支付宝便捷支付,免去封号风险; -🌹 欢迎使用如下邀请链接 [AiHubMix邀请链接](https://aihubmix.com?aff=Gp54) 注册 🌹 +😄 欢迎使用如下邀请链接 [AiHubMix邀请链接](https://aihubmix.com?aff=Gp54) 注册 🌹 -🌍 上述两个平台的在线推理服务均兼容openai SDK,配置`.env `的`LLM_API_BASE`和`LLM_API_KEY`后即可使用。 +🌟 **请注意 wiseflow 本身并不限定任何模型服务,只要服务兼容 openAI SDK 即可,包括本地部署的 ollama、Xinference 等服务** ### 5. **关注点和定时扫描信源添加** 启动程序后,打开pocketbase Admin dashboard UI (http://127.0.0.1:8090/_/) -#### 5.1 打开 tags表单 +#### 5.1 打开 focus_point 表单 通过这个表单可以指定你的关注点,LLM会按此提炼、过滤并分类信息。 -tags 字段说明: - - name, 关注点名称 - - explaination,关注点的详细解释或具体约定,如 “仅限上海市官方发布的初中升学信息”(tag name为 上海初中升学信息) - - activated, 是否激活。如果关闭则会忽略该关注点,关闭后可再次开启。开启和关闭无需重启docker容器,会在下一次定时任务时更新。 +字段说明: +- focuspoint, 关注点描述(必填),如”上海小升初信息“、”加密货币价格“ +- explanation,关注点的详细解释或具体约定,如 “仅限上海市官方发布的初中升学信息”、“BTC、ETH 的现价、涨跌幅数据“等 +- activated, 是否激活。如果关闭则会忽略该关注点,关闭后可再次开启。 + +注意:focus_point 更新设定(包括 activated 调整)后,**需要重启程序才会生效。** #### 5.2 打开 sites表单 通过这个表单可以指定自定义信源,系统会启动后台定时任务,在本地执行信源扫描、解析和分析。 sites 字段说明: - - url, 信源的url,信源无需给定具体文章页面,给文章列表页面即可。 - - per_hours, 扫描频率,单位为小时,类型为整数(1~24范围,我们建议扫描频次不要超过一天一次,即设定为24) - - activated, 是否激活。如果关闭则会忽略该信源,关闭后可再次开启。开启和关闭无需重启docker容器,会在下一次定时任务时更新。 +- url, 信源的url,信源无需给定具体文章页面,给文章列表页面即可。 +- per_hours, 扫描频率,单位为小时,类型为整数(1~24范围,我们建议扫描频次不要超过一天一次,即设定为24) +- activated, 是否激活。如果关闭则会忽略该信源,关闭后可再次开启。 + +**sites 的设定调整,无需重启程序。** -### 6. 本地部署 - -如您所见,本项目最低仅需使用7b\9b大小的LLM,且无需任何向量模型,这就意味着仅仅需要一块3090RTX(24G显存)就可以完全的对本项目进行本地化部署。 - -请保证您的本地化部署LLM服务兼容openai SDK,并配置 LLM_API_BASE 即可。 - -注:若需让7b~9b规模的LLM可以实现对tag explaination的准确理解,推荐使用dspy进行prompt优化,但这需要累积约50条人工标记数据。详见 [DSPy](https://dspy-docs.vercel.app/) - -## 🔄 如何在您自己的程序中使用 wiseflow 抓取出的数据 +## 📚 如何在您自己的程序中使用 wiseflow 抓取出的数据 1、参考 [dashbord](dashboard) 部分源码二次开发。 @@ -211,19 +204,22 @@ PocketBase作为流行的轻量级数据库,目前已有 Go/Javascript/Python 商用以及定制合作,请联系 **Email:35252986@qq.com** - - 商用客户请联系我们报备登记,产品承诺永远免费。 +- 商用客户请联系我们报备登记,产品承诺永远免费。 ## 📬 联系方式 -有任何问题或建议,欢迎通过 [issue](https://github.com/TeamWiseFlow/wiseflow/issues) 与我们联系。 +有任何问题或建议,欢迎通过 [issue](https://github.com/TeamWiseFlow/wiseflow/issues) 留言。 ## 🤝 本项目基于如下优秀的开源项目: -- GeneralNewsExtractor ( General Extractor of News Web Page Body Based on Statistical Learning) https://github.com/GeneralNewsExtractor/GeneralNewsExtractor +- crawlee-python (A web scraping and browser automation library for Python to build reliable crawlers. Works with BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.) https://github.com/apify/crawlee-python - json_repair(Repair invalid JSON documents ) https://github.com/josdejong/jsonrepair/tree/main - python-pocketbase (pocketBase client SDK for python) https://github.com/vaphes/pocketbase +- SeeAct(a system for generalist web agents that autonomously carry out tasks on any given website, with a focus on large multimodal models (LMMs) such as GPT-4Vision.) https://github.com/OSU-NLP-Group/SeeAct + +同时受 [GNE](https://github.com/GeneralNewsExtractor/GeneralNewsExtractor)、[AutoCrawler](https://github.com/kingname/AutoCrawler) 启发。 ## Citation @@ -233,4 +229,4 @@ PocketBase作为流行的轻量级数据库,目前已有 Go/Javascript/Python Author:Wiseflow Team https://github.com/TeamWiseFlow/wiseflow Licensed under Apache2.0 -``` +``` \ No newline at end of file diff --git a/asset/sample.png b/asset/sample.png deleted file mode 100644 index 5fc04ea3bb0f8d24f409fbc79a0a2c4d6d2b01d9..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 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b/core/agents/get_info.py index bb00fd6..5922bc4 100644 --- a/core/agents/get_info.py +++ b/core/agents/get_info.py @@ -23,7 +23,7 @@ class GeneralInfoExtractor: focus = input('It seems you have not set any focus point, WiseFlow need the specific focus point to guide the following info extract job.' 'so please input one now. describe what info you care about shortly: ') explanation = input('Please provide more explanation for the focus point (if not necessary, pls just type enter: ') - focus_data.append({"name": focus, "explanation": explanation, + focus_data.append({"focuspoint": focus, "explanation": explanation, "id": pb.add('focus_points', {"focuspoint": focus, "explanation": explanation})}) # self.focus_list = [item["focuspoint"] for item in focus_data] @@ -188,6 +188,9 @@ url2 if item['focus'] not in self.focus_dict: self.logger.warning(f"{item['focus']} not in focus_list, it's model's Hallucination") continue + if not item['content']: + continue + if item['content'] in link_dict: self.logger.debug(f"{item['content']} in link_dict, aborting") continue diff --git a/core/docker_entrypoint.sh b/core/docker_entrypoint.sh index 0f03100..5ff5654 100755 --- a/core/docker_entrypoint.sh +++ b/core/docker_entrypoint.sh @@ -5,7 +5,7 @@ source .env set +o allexport # 启动 PocketBase -/pb/pocketbase serve --http=0.0.0.0:8090 & +/pb/pocketbase serve --http=127.0.0.1:8090 & pocketbase_pid=$! # 启动 Python 任务 diff --git a/core/general_process.py b/core/general_process.py index 5d65813..da6931a 100644 --- a/core/general_process.py +++ b/core/general_process.py @@ -22,29 +22,13 @@ screenshot_dir = os.path.join(project_dir, 'crawlee_storage', 'screenshots') wiseflow_logger = get_logger('general_process', project_dir) pb = PbTalker(wiseflow_logger) gie = GeneralInfoExtractor(pb, wiseflow_logger) -existing_urls = {url['url'] for url in pb.read(collection_name='articles', fields=['url']) if url['url']} +existing_urls = {url['url'] for url in pb.read(collection_name='infos', fields=['url'])} -async def save_to_pb(article: dict, infos: list): +async def save_to_pb(url: str, infos: list): # saving to pb process - screenshot = article.pop('screenshot') if 'screenshot' in article else None - article_id = pb.add(collection_name='articles', body=article) - if not article_id: - wiseflow_logger.error('add article failed, writing to cache_file') - timestamp = datetime.now().strftime("%Y%m%d%H%M%S") - with open(os.path.join(project_dir, f'{timestamp}_cache_article.json'), 'w', encoding='utf-8') as f: - json.dump(article, f, ensure_ascii=False, indent=4) - return - if screenshot: - file = open(screenshot, 'rb') - file_name = os.path.basename(screenshot) - message = pb.upload('articles', article_id, 'screenshot', file_name, file) - file.close() - if not message: - wiseflow_logger.warning(f'{article_id} upload screenshot failed, file location: {screenshot}') - for info in infos: - info['articles'] = [article_id] + info['url'] = url _ = pb.add(collection_name='infos', body=info) if not _: wiseflow_logger.error('add info failed, writing to cache_file') @@ -84,23 +68,25 @@ async def request_handler(context: PlaywrightCrawlingContext) -> None: context.log.info(f'routed to customer scraper for {domain}') try: article, more_urls, infos = await custom_scraper_map[domain](html, context.request.url) + if not article and not infos and not more_urls: + wiseflow_logger.warning(f'{parsed_url} handled by customer scraper, bot got nothing') except Exception as e: context.log.error(f'error occurred: {e}') - wiseflow_logger.warning(f'handle {parsed_url} failed by customer scraper, this url will be skipped') - return + wiseflow_logger.warning(f'handle {parsed_url} failed by customer scraper, so no info can be found') + article, infos, more_urls = {}, [], set() - if not article and not infos and not more_urls: - wiseflow_logger.warning(f'{parsed_url} handled by customer scraper, bot got nothing') - return - - #title = article.get('title', "") link_dict = more_urls if isinstance(more_urls, dict) else {} related_urls = more_urls if isinstance(more_urls, set) else set() if not infos and not related_urls: - text = article.pop('content') if 'content' in article else None + try: + text = article.get('content', '') + except Exception as e: + wiseflow_logger.warning(f'customer scraper output article is not valid dict: {e}') + text = '' + if not text: - wiseflow_logger.warning(f'no content found in {parsed_url} by customer scraper, cannot use llm GIE') - author, publish_date = '', '' + wiseflow_logger.warning(f'no content found in {parsed_url} by customer scraper, cannot use llm GIE, aborting') + infos, related_urls = [], set() else: author = article.get('author', '') publish_date = article.get('publish_date', '') @@ -109,28 +95,28 @@ async def request_handler(context: PlaywrightCrawlingContext) -> None: infos, related_urls, author, publish_date = await gie(text, link_dict, context.request.url, author, publish_date) except Exception as e: wiseflow_logger.error(f'gie error occurred in processing: {e}') - infos = [] - author, publish_date = '', '' - else: - author = article.get('author', '') - publish_date = article.get('publish_date', '') + infos, related_urls = [], set() else: # Extract data from the page. # future work: try to use a visual-llm do all the job... text = await context.page.inner_text('body') soup = BeautifulSoup(html, 'html.parser') links = soup.find_all('a', href=True) - parsed_url = urlparse(context.request.url) - domain = parsed_url.netloc base_url = f"{parsed_url.scheme}://{domain}" - link_dict = {} for a in links: new_url = a.get('href') + if new_url.startswith('javascript:') or new_url.startswith('#') or new_url.startswith('mailto:'): + continue + if new_url in [context.request.url, base_url]: + continue + if new_url in existing_urls: + continue t = a.text.strip() - if new_url and t and new_url != base_url and new_url not in existing_urls: + if new_url and t: link_dict[t] = urljoin(base_url, new_url) existing_urls.add(new_url) + publish_date = soup.find('div', class_='date').get_text(strip=True) if soup.find('div', class_='date') else None if publish_date: publish_date = extract_and_convert_dates(publish_date) @@ -139,27 +125,19 @@ async def request_handler(context: PlaywrightCrawlingContext) -> None: author = soup.find('div', class_='source').get_text(strip=True) if soup.find('div', class_='source') else None # get infos by llm infos, related_urls, author, publish_date = await gie(text, link_dict, base_url, author, publish_date) - # title = await context.page.title() - - screenshot_file_name = f"{hashlib.sha256(context.request.url.encode()).hexdigest()}.png" - await context.page.screenshot(path=os.path.join(screenshot_dir, screenshot_file_name), full_page=True) - wiseflow_logger.debug(f'screenshot saved to {screenshot_file_name}') if infos: - article = { - 'url': context.request.url, - # 'title': title, - 'author': author, - 'publish_date': publish_date, - 'screenshot': os.path.join(screenshot_dir, screenshot_file_name), - 'tags': [info['tag'] for info in infos] - } - await save_to_pb(article, infos) + await save_to_pb(context.request.url, infos) if related_urls: await context.add_requests(list(related_urls)) # todo: use llm to determine next action + """ + screenshot_file_name = f"{hashlib.sha256(context.request.url.encode()).hexdigest()}.png" + await context.page.screenshot(path=os.path.join(screenshot_dir, screenshot_file_name), full_page=True) + wiseflow_logger.debug(f'screenshot saved to {screenshot_file_name}') + """ if __name__ == '__main__': sites = pb.read('sites', filter='activated=True') diff --git a/core/run.sh b/core/run.sh index e2ab4b6..d7668cf 100755 --- a/core/run.sh +++ b/core/run.sh @@ -7,7 +7,7 @@ set +o allexport if ! pgrep -x "pocketbase" > /dev/null; then if ! netstat -tuln | grep ":8090" > /dev/null && ! lsof -i :8090 > /dev/null; then echo "Starting PocketBase..." - ../pb/pocketbase serve --http=0.0.0.0:8090 & + ../pb/pocketbase serve --http=127.0.0.1:8090 & else echo "Port 8090 is already in use." fi diff --git a/core/run_task.sh b/core/run_task.sh new file mode 100755 index 0000000..db1f993 --- /dev/null +++ b/core/run_task.sh @@ -0,0 +1,18 @@ +#!/bin/bash + +set -o allexport +source .env +set +o allexport + +if ! pgrep -x "pocketbase" > /dev/null; then + if ! netstat -tuln | grep ":8090" > /dev/null && ! lsof -i :8090 > /dev/null; then + echo "Starting PocketBase..." + ../pb/pocketbase serve --http=127.0.0.1:8090 & + else + echo "Port 8090 is already in use." + fi +else + echo "PocketBase is already running." +fi + +python tasks.py \ No newline at end of file diff --git a/core/tasks.py b/core/tasks.py index e6ccef3..f214a59 100644 --- a/core/tasks.py +++ b/core/tasks.py @@ -6,20 +6,21 @@ counter = 1 async def schedule_pipeline(interval): global counter - wiseflow_logger.info(f'task execute loop {counter}') - sites = pb.read('sites', filter='activated=True') - todo_urls = set() - for site in sites: - if not site['per_hours'] or not site['url']: - continue - if counter % site['per_hours'] == 0: - wiseflow_logger.info(f"applying {site['url']}") - todo_urls.add(site['url'].rstrip('/')) + while True: + wiseflow_logger.info(f'task execute loop {counter}') + sites = pb.read('sites', filter='activated=True') + todo_urls = set() + for site in sites: + if not site['per_hours'] or not site['url']: + continue + if counter % site['per_hours'] == 0: + wiseflow_logger.info(f"applying {site['url']}") + todo_urls.add(site['url'].rstrip('/')) - counter += 1 - await crawler.run(list[todo_urls]) - wiseflow_logger.info(f'task execute loop finished, work after {interval} seconds') - await asyncio.sleep(interval) + counter += 1 + await crawler.run(list(todo_urls)) + wiseflow_logger.info(f'task execute loop finished, work after {interval} seconds') + await asyncio.sleep(interval) async def main(): diff --git a/pb/README.md b/pb/README.md index 516f57e..4cdf40c 100755 --- a/pb/README.md +++ b/pb/README.md @@ -4,6 +4,6 @@ download https://github.com/pocketbase/pocketbase/releases/download/v0.23.4/ cd pb xattr -d com.apple.quarantine pocketbase # for Macos ./pocketbase migrate up # for first run -./pocketbase --dev admin create test@example.com 123467890 # If you don't have an initial account, please use this command to create it +./pocketbase --dev admin create test@example.com 1234567890 # If you don't have an initial account, please use this command to create it ./pocketbase serve ``` \ No newline at end of file diff --git a/pb/pb_migrations/1733204939_created_articles.js b/pb/pb_migrations/1733204939_created_articles.js deleted file mode 100644 index a2816a1..0000000 --- a/pb/pb_migrations/1733204939_created_articles.js +++ /dev/null @@ -1,121 +0,0 @@ -/// -migrate((app) => { - const collection = new Collection({ - "createRule": null, - "deleteRule": null, - "fields": [ - { - "autogeneratePattern": "[a-z0-9]{15}", - "hidden": false, - "id": "text3208210256", - "max": 15, - "min": 15, - "name": "id", - "pattern": "^[a-z0-9]+$", - "presentable": false, - "primaryKey": true, - "required": true, - "system": true, - "type": "text" - }, - { - "exceptDomains": null, - "hidden": false, - "id": "url4101391790", - "name": "url", - "onlyDomains": null, - "presentable": false, - "required": false, - "system": false, - "type": "url" - }, - { - "autogeneratePattern": "", - "hidden": false, - "id": "text724990059", - "max": 0, - "min": 0, - "name": "title", - "pattern": "", - "presentable": false, - "primaryKey": false, - "required": false, - "system": false, - "type": "text" - }, - { - "autogeneratePattern": "", - "hidden": false, - "id": "text3182418120", - "max": 0, - "min": 0, - "name": "author", - "pattern": "", - "presentable": false, - "primaryKey": false, - "required": false, - "system": false, - "type": "text" - }, - { - "hidden": false, - "id": "date2025149370", - "max": "", - "min": "", - "name": "publish_date", - "presentable": false, - "required": false, - "system": false, - "type": "date" - }, - { - "hidden": false, - "id": "file1486429761", - "maxSelect": 1, - "maxSize": 0, - "mimeTypes": [], - "name": "screenshot", - "presentable": false, - "protected": false, - "required": false, - "system": false, - "thumbs": [], - "type": "file" - }, - { - "hidden": false, - "id": "autodate2990389176", - "name": "created", - "onCreate": true, - "onUpdate": false, - "presentable": false, - "system": false, - "type": "autodate" - }, - { - "hidden": false, - "id": "autodate3332085495", - "name": "updated", - "onCreate": true, - "onUpdate": true, - "presentable": false, - "system": false, - "type": "autodate" - } - ], - "id": "pbc_4287850865", - "indexes": [], - "listRule": null, - "name": "articles", - "system": false, - "type": "base", - "updateRule": null, - "viewRule": null - }); - - return app.save(collection); -}, (app) => { - const collection = app.findCollectionByNameOrId("pbc_4287850865"); - - return app.delete(collection); -}) diff --git a/pb/pb_migrations/1733465426_updated_articles.js b/pb/pb_migrations/1733465426_updated_articles.js deleted file mode 100644 index 588a62c..0000000 --- a/pb/pb_migrations/1733465426_updated_articles.js +++ /dev/null @@ -1,28 +0,0 @@ -/// -migrate((app) => { - const collection = app.findCollectionByNameOrId("pbc_4287850865") - - // add field - collection.fields.addAt(6, new Field({ - "cascadeDelete": false, - "collectionId": "pbc_3385864241", - "hidden": false, - "id": "relation1874629670", - "maxSelect": 999, - "minSelect": 0, - "name": "tags", - "presentable": false, - "required": false, - "system": false, - "type": "relation" - })) - - return app.save(collection) -}, (app) => { - const collection = app.findCollectionByNameOrId("pbc_4287850865") - - // remove field - collection.fields.removeById("relation1874629670") - - return app.save(collection) -}) diff --git a/pb/pb_migrations/1733465563_created_infos.js b/pb/pb_migrations/1733465563_created_infos.js index 73d9085..4ef607a 100644 --- a/pb/pb_migrations/1733465563_created_infos.js +++ b/pb/pb_migrations/1733465563_created_infos.js @@ -45,19 +45,6 @@ migrate((app) => { "system": false, "type": "relation" }, - { - "cascadeDelete": false, - "collectionId": "pbc_4287850865", - "hidden": false, - "id": "relation3218944360", - "maxSelect": 999, - "minSelect": 0, - "name": "articles", - "presentable": false, - "required": false, - "system": false, - "type": "relation" - }, { "hidden": false, "id": "file3291445124", diff --git a/pb/pb_migrations/1733753289_updated_infos.js b/pb/pb_migrations/1733753289_updated_infos.js new file mode 100644 index 0000000..2e98dbb --- /dev/null +++ b/pb/pb_migrations/1733753289_updated_infos.js @@ -0,0 +1,39 @@ +/// +migrate((app) => { + const collection = app.findCollectionByNameOrId("pbc_629947526") + + // add field + collection.fields.addAt(4, new Field({ + "exceptDomains": [], + "hidden": false, + "id": "url4101391790", + "name": "url", + "onlyDomains": [], + "presentable": false, + "required": true, + "system": false, + "type": "url" + })) + + // add field + collection.fields.addAt(5, new Field({ + "hidden": false, + "id": "file1486429761", + "maxSelect": 1, + "maxSize": 0, + "mimeTypes": [], + "name": "screenshot", + "presentable": false, + "protected": false, + "required": false, + "system": false, + "thumbs": [], + "type": "file" + })) + + return app.save(collection) +}, (app) => { + const collection = app.findCollectionByNameOrId("pbc_629947526") + + return app.save(collection) +}) diff --git a/pb/pb_migrations/1733753354_updated_focus_points.js b/pb/pb_migrations/1733753354_updated_focus_points.js new file mode 100644 index 0000000..9f64fc8 --- /dev/null +++ b/pb/pb_migrations/1733753354_updated_focus_points.js @@ -0,0 +1,42 @@ +/// +migrate((app) => { + const collection = app.findCollectionByNameOrId("pbc_3385864241") + + // update field + collection.fields.addAt(1, new Field({ + "autogeneratePattern": "", + "hidden": false, + "id": "text2695655862", + "max": 0, + "min": 0, + "name": "focuspoint", + "pattern": "", + "presentable": true, + "primaryKey": false, + "required": true, + "system": false, + "type": "text" + })) + + return app.save(collection) +}, (app) => { + const collection = app.findCollectionByNameOrId("pbc_3385864241") + + // update field + collection.fields.addAt(1, new Field({ + "autogeneratePattern": "", + "hidden": false, + "id": "text2695655862", + "max": 0, + "min": 0, + "name": "focuspoint", + "pattern": "", + "presentable": false, + "primaryKey": false, + "required": true, + "system": false, + "type": "text" + })) + + return app.save(collection) +}) diff --git a/version b/version index 7becae1..03f2afa 100644 --- a/version +++ b/version @@ -1 +1 @@ -v0.3.2 +v0.3.5