看“穷人”如何实现微信控制ha
本帖最后由 KevinYAN 于 2023-8-25 17:31 编辑更新在开头： 因为下边流程导入碰到问题的朋友比较多，直接在开头放文件：
看到大佬们的微信控制ha， 多数都是需要公网ip，或者找运营商给自家光猫做端口映射。 我自己没有云主机之类的资源。所以一直致力与免费资源。
在看企业微信的开发者接口文档的时候，惊奇的发现是可以通过客服的历史聊天api获取到微信发送出去的信息的。如果我们通过node red 的http获取到这个信息，那后续的就简单了，只需要对信息分类处理，实现不同的功能即可。
为了较好的实现功能，并处理遇到的问题，建议阅读：
发送消息 - 文档 - 企业微信开发者中心 (qq.com)
https://developer.work.weixin.qq.com/devtool/query --错误代码含义查询
获取消息接口：
https://qyapi.weixin.qq.com/cgi-bin/kf/sync_msg?access_token=ACCESS_TOKEN
发送消息接口：
https://qyapi.weixin.qq.com/cgi-bin/kf/send_msg?access_token=ACCESS_TOKEN
不过这个发送接口有一点限制，就是从微信发给客服的最后一条消息时间算起，48小时内，客服只能对该微信号推送5条消息。如果你一直发，他也一直回，基本是没什么问题的。不通5条消息推送也勉强够用，如果不够，就再加一个客服人员，重新推送失败的消息（我目前正是这么做的）。
简单说下过程吧:
微信对话开放平台 (qq.com)平台创建一个机器人，得到如下核心信息：
登陆自己的企业微信，点开“微信客服”
这里将第一张图获取的三个信息依次填入。
然后我们创建一个客服，我图中创建了，比如图中的“智能家居助手”
创建完成以后，在页面拉到最下边，点击“企业内部开发"，进去后，把自己刚才创建的客服勾选上。
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
到这里，我们基本就搞完了。
---------------------------------
然后就是node red里如何调用的问题了，且看我表演哈。
我的实现也算比较简单，简单来说，就是通过接收消息接口，每7s去抓一下聊天记录，提取到新消息，然后一条一条的发送到后续流程，进行处理。
替换内容：
第一个替换：
get token节点里两个信息 https://qyapi.weixin.qq.com/cgi-bin/gettoken?corpid=你自己的企业id&corpsecret=微信客服secret ID
企业id查看：
企业客服secret查看：
第二个替换：
替换自己创建的客服名称就好。我这里好像也没起作用，每次把三个客服的都提取来了。大家自己测试看看。
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到这里，我想，你的nore red 应该就提取到消息了：
给你看看我的：
流程代码如下：
[{"id":"8d804279b89c99e1","type":"comment","z":"4e296426d7d6e14e","g":"a5f79719cb30e595","name":"企业微信接收","info":"","x":130,"y":80,"wires":[]},{"id":"8668ae0b458677c4","type":"ping","z":"4e296426d7d6e14e","g":"a5f79719cb30e595","protocol":"Automatic","mode":"timed","name":"网络检查","host":"www.baidu.com","timer":"10","inputs":0,"x":280,"y":80,"wires":[["bdbfe4571da8ccc0","91340d568ce17d1a"]]},{"id":"bdbfe4571da8ccc0","type":"function","z":"4e296426d7d6e14e","g":"a5f79719cb30e595","name":"公布网络状态","func":"if (msg.payload > 0){\n flow.set(\"net_stat\", true);\n}else{\n flow.set(\"net_stat\", false);\n}","outputs":1,"noerr":0,"initialize":"","finalize":"","libs":[],"x":500,"y":80,"wires":[[]]},{"id":"91340d568ce17d1a","type":"function","z":"4e296426d7d6e14e","g":"a5f79719cb30e595","name":"网络恢复触发","func":"\nif (msg.payload > 0) { \n var current_stat = 1; \n}else {\n var current_stat = 0; \n}\n\nlet before_state = flow.get(\"before_state\")||0;\n\nflow.set(\"before_state\", current_stat);\n\nif(current_stat != before_state && current_stat == 1){\n return msg;\n}\n\n","outputs":1,"noerr":0,"initialize":"","finalize":"","libs":[],"x":500,"y":120,"wires":[["b34f95a58b4b4456"]]},{"id":"aebf9ee5715ea349","type":"function","z":"4e296426d7d6e14e","g":"a5f79719cb30e595","name":"网络检查","func":"if (flow.get(\"net_stat\")){\n return msg;\n}\n","outputs":1,"noerr":0,"initialize":"","finalize":"","libs":[],"x":280,"y":160,"wires":[["b34f95a58b4b4456"]]},{"id":"75d6bdc456788532","type":"inject","z":"4e296426d7d6e14e","g":"a5f79719cb30e595","name":"1c/h","props":[{"p":"payload"},{"p":"topic","vt":"str"}],"repeat":"3600","crontab":"","once":true,"onceDelay":"3","topic":"","payload":"","payloadType":"date","x":130,"y":160,"wires":[["aebf9ee5715ea349"]]},{"id":"60c45160b6c238c9","type":"inject","z":"4e296426d7d6e14e","g":"a5f79719cb30e595","name":"7s/c","props":[],"repeat":"7","crontab":"","once":true,"onceDelay":"5","topic":"","x":130,"y":260,"wires":[["d3edb2c873e3fd0f"]]},{"id":"d3edb2c873e3fd0f","type":"function","z":"4e296426d7d6e14e","g":"a5f79719cb30e595","name":"网络检查","func":"if (flow.get(\"net_stat\")){\n return msg;\n}\n","outputs":1,"noerr":0,"initialize":"","finalize":"","libs":[],"x":280,"y":260,"wires":[["6f66aa170a6832e3"]]},{"id":"6f66aa170a6832e3","type":"function","z":"4e296426d7d6e14e","g":"a5f79719cb30e595","name":"重组","func":"msg = {\n \"cursor\": flow.get(\"next_cursor\") || null,\n \"limit\": 1,\n \"voice_format\": 1,\n \"open_kfid\": \"替换哦\",\n \"url\": flow.get(\"sync_kf_url\")\n}\nreturn msg;\n\n","outputs":1,"noerr":0,"initialize":"","finalize":"","libs":[],"x":410,"y":260,"wires":[["a5b6e9f8d5eb2fb1"]]},{"id":"a5b6e9f8d5eb2fb1","type":"http request","z":"4e296426d7d6e14e","g":"a5f79719cb30e595","name":"获取聊天记录","method":"POST","ret":"obj","paytoqs":"ignore","url":"","tls":"","persist":false,"proxy":"","insecureHTTPParser":false,"authType":"","senderr":false,"headers":[],"x":560,"y":260,"wires":[["0860a880482e2d49"]]},{"id":"b34f95a58b4b4456","type":"http request","z":"4e296426d7d6e14e","g":"a5f79719cb30e595","name":"get token","method":"GET","ret":"obj","paytoqs":"ignore","url":"https://qyapi.weixin.qq.com/cgi-bin/gettoken?corpid=替换哦&corpsecret=替换哦","tls":"","persist":false,"proxy":"","insecureHTTPParser":false,"authType":"","senderr":false,"headers":[],"x":720,"y":160,"wires":[["61fdd78716dcc5ce"]]},{"id":"0860a880482e2d49","type":"function","z":"4e296426d7d6e14e","g":"a5f79719cb30e595","name":"提取新消息","func":"if (msg.payload.errcode === 0){ //正确抓到聊天记录再处理\n //弹出本次最后一个结果\n var yuan = msg.payload.msg_list;\n var end = yuan.pop();\n\n flow.set(\"next_cursor\",msg.payload.next_cursor);\n\n //获取上次最后一条消息发送时间为本次消息的开始时间，用来获取新消息\n var start_message_send_time = flow.get(\"last_message_send_time\");\n\n //存储本次最有一个结果的发送时间为最后一条消息的发送时间\n flow.set(\"last_message_send_time\", end.send_time);\n\n msg = {};\n msg.payload=[];\n if (end.send_time > start_message_send_time) {\n msg.payload.push(end);\n\n end = yuan.pop();\n while (end.send_time > start_message_send_time) {\n msg.payload.push(end);\n end = yuan.pop();\n }\n } else {\n var bs = 1;\n };\n\n if( bs != 1){\n msg.payload = msg.payload.reverse();\n return msg;\n };\n}","outputs":1,"noerr":0,"initialize":"","finalize":"","libs":[],"x":730,"y":260,"wires":[["e794c4c52e2a85a3"]]},{"id":"61fdd78716dcc5ce","type":"function","z":"4e296426d7d6e14e","g":"a5f79719cb30e595","name":"发布url","func":"var url = \"https://qyapi.weixin.qq.com/cgi-bin/kf/send_msg?access_token=\" + msg.payload.access_token\nflow.set(\"send_kf_url\",url);\nurl = \"https://qyapi.weixin.qq.com/cgi-bin/kf/sync_msg?access_token=\" + msg.payload.access_token\nflow.set(\"sync_kf_url\",url);\nurl = \"https://qyapi.weixin.qq.com/cgi-bin/kf/service_state/get?access_token=\" + msg.payload.access_token\nflow.set(\"sync_kf_hhzt_url\", url);","outputs":1,"noerr":0,"initialize":"","finalize":"","libs":[],"x":860,"y":160,"wires":[[]]},{"id":"e794c4c52e2a85a3","type":"split","z":"4e296426d7d6e14e","g":"a5f79719cb30e595","name":"拆分","splt":"\\n","spltType":"str","arraySplt":1,"arraySpltType":"len","stream":true,"addname":"payload","x":870,"y":260,"wires":[["8e3ee4164e88172e","b7142ca9b1192be7"]]},{"id":"8e3ee4164e88172e","type":"delay","z":"4e296426d7d6e14e","g":"a5f79719cb30e595","name":"","pauseType":"rate","timeout":"8","timeoutUnits":"seconds","rate":"1","nbRateUnits":"0.1","rateUnits":"second","randomFirst":"1","randomLast":"5","randomUnits":"seconds","drop":false,"allowrate":false,"outputs":1,"x":1010,"y":260,"wires":[["e6e641da7489c2c1"]]}]
有了上述的基础以后，我想后续的你应该可以搞定，
比如，输入一个文本，然后处理这个文本，处理完，然后再调用上边提到的发送接口，将处理结果做一个反馈。就想我微信聊天截图里，有发送，有反馈。
这里就送大家两张图吧，上边的信息已经够庞大的了，先消化休息休息。
这里客服id和外部用户id ,都是上边流程里接收到的信息所包含的。自己debug跟踪一下，就能看到。 每个微信客户，对应一个外部客户id.
标准化推送信息后，直接抛到推送接口
这里推送是个空的，因为他的url来自于前边发送文本中标准信息中的msg.url=flow.get("send_kf_url"). 这个变量，已经在第一个流程图中的发布url里，每小时自动声明一次。这个token的时间好像是7200s,频率看着弄就行了。无所谓。
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结束了，打字截图很累。
感谢分享，前排鼓掌 666666666666666 论坛nodered流复制导入有点问题，能不能发文本压缩包？谢谢:lol:lol 这样就不需要公网IP了吗？ lexcao 发表于 2023-8-25 14:03
这样就不需要公网IP了吗？
他这个不是微信推送通知，他这个应该是通过微信控制ha lexcao 发表于 2023-8-25 14:03
这样就不需要公网IP了吗？
不需要，norered通过扒客服聊天记录，来获取微信发出去的消息。实现微信消息发到node red. bugensui 发表于 2023-8-25 15:10
他这个不是微信推送通知，他这个应该是通过微信控制ha
文中提了两个接口，但是这个文章主要是说第一个。 第二个接口在最下边只提了一下。就是给微信推送通知。
也就是执行反馈。 jole 发表于 2023-8-25 14:02
论坛nodered流复制导入有点问题，能不能发文本压缩包？谢谢
手动先替换下json里的“替换哦”，随便给个英文字符串就行。然后再导入。
我是粘贴到帖子之后脱敏的。 居然忘了说明一个非常重要的内容，就是在哪里发送这个消息。
将这个地址发给微信，然后在微信打开。就可以看到客服消息入口。
再点击自己创建的客服人员，就可以开始发送消息给ha 了。接收到的消息也是在这里。