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chore: remove any WeChat related

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docs/en/deploy/platforms/readme.md
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@@ -15,6 +15,5 @@ Bots are used to receive message events from messaging platforms and call pipeli
| WeCom (Enterprise WeChat) | ✅ | Enterprise internal bot | [Tutorial](/en/deploy/platforms/wecom/wecom) |
| WeCom Customer Service | ✅ | Enterprise external bot | [Tutorial](/en/deploy/platforms/wecom/wecomcs) |
| WeChat Official Account | ✅ | WeChat public platform bot | [Tutorial](/en/deploy/platforms/wxoa) |
| Personal WeChat | ✅ | Personal WeChat bot | [Gewechat](/en/deploy/platforms/wechat/gewechat) |
| OneBot v11 | ✅ | Uses a personal QQ account as a bot, requires an independent protocol client, supports OneBot v11 | [NapCat](/en/deploy/platforms/qq/aiocqhttp/napcat) <br> [Lagrange](/en/deploy/platforms/qq/aiocqhttp/lagrange) <br> [LiteLoaderQQNT](/en/deploy/platforms/qq/aiocqhttp/llonebot) |
| QQ Official Bot | ✅ | Connects to the QQ Open Platform bot API | [Tutorial](/en/deploy/platforms/qq/official_webhook) |
docs/en/deploy/platforms/wechat/gewechat.md
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# Connect to Personal WeChat via Gewechat
:::warning
The Gewechat project has stopped maintenance, please do not use it.
:::
**This tutorial requires LangBot to be deployed as a Docker container**, please deploy LangBot to Docker according to the LangBot deployment documentation.
:::info
- It is recommended to deploy on Ubuntu Linux system.
- Recommended to use [Alibaba Cloud, server prices as low as 38 yuan per year, with an additional 20% discount](https://www.aliyun.com/minisite/goods?userCode=ys4ad8gs), choose Ubuntu 22.04 or 24.04 as the system.
:::
## Create Docker Network
We need to deploy Gewechat and LangBot to the same Docker network to facilitate their communication.
```bash
docker network create langbot-network
```
Add network configuration to the `docker-compose.yaml` file in the LangBot directory (add to the `services.langbot` field, and add the `langbot-network` network configuration under the `networks` field):
```yaml
services:
langbot:
...
networks:
- langbot-network
...
networks:
langbot-network:
external: true
```
In the next step when deploying Gewechat, please add an additional network configuration `--network langbot-network` after `-itd` in the startup command (docker run command).
```bash
# For example, the original command is
docker run -itd -v /root/temp:/root/temp -p 2531:2531 -p 2532:2532 --privileged=true --name=gewe gewe /usr/sbin/init
# After adding network configuration, the command becomes
docker run -itd --network langbot-network -v /root/temp:/root/temp -p 2531:2531 -p 2532:2532 --privileged=true --name=gewe gewe /usr/sbin/init
```
## Deploy Gewechat
Please check the [Gewechat documentation](https://github.com/Devo919/Gewechat) and execute up to the `Start Service` step.
## Fill in Information in LangBot and Start
```json
{
"adapter": "gewechat",
"enable": true,
"gewechat_url": "http://gewe:2531",
"gewechat_file_url": "http://gewe:2532",
"port": 2286,
"callback_url": "http://langbot:2286/gewechat/callback",
"app_id": "",
"token": ""
}
```
- `enable` Whether to enable the personal WeChat adapter, please modify to `true`
- `gewechat_url` The Gewechat container address deployed in the previous step, the default port is 2531, no need to fill in the path
- `gewechat_file_url` Gewechat file download address, the default port is 2532, the host is the same as `gewechat_url`, no need to fill in the path
- `port` The port for LangBot to listen for Gewechat messages, default is 2286, do not modify unless necessary
- `callback_url` The callback address, which is the address for the Gewechat container to push messages to the LangBot container, needs to be filled with the complete path, for example `http://langbot:2286/gewechat/callback`, the port is consistent with `port`, the path must be `/gewechat/callback`
- `app_id` and `token` **Do not fill in**, these are used to store login information and will be automatically saved after scanning the QR code to log in for the first time
:::info
Here we set the hostname of `gewechat_url` to `gewe`, which is the name of the Gewechat container deployed in the previous step.
Set the hostname of `callback_url` to `langbot`, which is the name of the LangBot container deployed in the previous step.
- If you deploy according to the requirements of this tutorial, you can use the above defaults.
- If you used other container names, or other situations, please change accordingly.
:::
## Start LangBot
Start LangBot according to the startup command in the LangBot deployment documentation.
After LangBot starts, a QR code will be displayed, please scan this QR code with your personal WeChat to log in.
![alt text](/assets/image/zh/deploy/bots/gewechat/gewechat_01.png)
After successful login, login information will be displayed, and it will start listening for personal WeChat messages.
![alt text](/assets/image/zh/deploy/bots/gewechat/gewechat_02.png)
:::info
After logging in, `app_id` and `token` will be saved to the configuration file, and you won't need to scan the QR code to log in again the next time you start.
:::
Now you can chat with LangBot in private messages or group chats.