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Merge pull request #944 from zhayujie/wechatcom-app

添加企业微信应用号部署方式,支持插件,支持语音图片交互
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Jianglang GitHub 1 년 전
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19개의 변경된 파일419개의 추가작업 그리고 56개의 파일을 삭제
  1. +5
    -2
      README.md
  2. +1
    -1
      app.py
  3. +4
    -0
      channel/channel_factory.py
  4. +2
    -2
      channel/wechat/wechat_channel.py
  5. +1
    -1
      channel/wechat/wechat_message.py
  6. +59
    -0
      channel/wechatcom/README.md
  7. +168
    -0
      channel/wechatcom/wechatcomapp_channel.py
  8. +21
    -0
      channel/wechatcom/wechatcomapp_client.py
  9. +52
    -0
      channel/wechatcom/wechatcomapp_message.py
  10. +5
    -4
      channel/wechatmp/active_reply.py
  11. +0
    -35
      channel/wechatmp/common.py
  12. +6
    -5
      channel/wechatmp/passive_reply.py
  13. +4
    -1
      channel/wechatmp/wechatmp_channel.py
  14. +51
    -0
      common/utils.py
  15. +2
    -1
      config-template.json
  16. +23
    -3
      config.py
  17. BIN
      docs/images/aigcopen.png
  18. +1
    -1
      requirements-optional.txt
  19. +14
    -0
      voice/audio_convert.py

+ 5
- 2
README.md 파일 보기

@@ -97,7 +97,7 @@ pip3 install azure-cognitiveservices-speech
cp config-template.json config.json
```

然后在`config.json`中填入配置,以下是对默认配置的说明,可根据需要进行自定义修改:
然后在`config.json`中填入配置,以下是对默认配置的说明,可根据需要进行自定义修改(请去掉注释)

```bash
# config.json文件内容示例
@@ -115,7 +115,9 @@ pip3 install azure-cognitiveservices-speech
"speech_recognition": false, # 是否开启语音识别
"group_speech_recognition": false, # 是否开启群组语音识别
"use_azure_chatgpt": false, # 是否使用Azure ChatGPT service代替openai ChatGPT service. 当设置为true时需要设置 open_ai_api_base,如 https://xxx.openai.azure.com/
"character_desc": "你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题,并且可以使用多种语言与人交流。", # 人格描述,
"character_desc": "你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题,并且可以使用多种语言与人交流。", # 人格描述
# 订阅消息,公众号和企业微信channel中请填写,当被订阅时会自动回复,可使用特殊占位符。目前支持的占位符有{trigger_prefix},在程序中它会自动替换成bot的触发词。
"subscribe_msg": "感谢您的关注!\n这里是ChatGPT,可以自由对话。\n支持语音对话。\n支持图片输出,画字开头的消息将按要求创作图片。\n支持角色扮演和文字冒险等丰富插件。\n输入{trigger_prefix}#help 查看详细指令。"
}
```
**配置说明:**
@@ -150,6 +152,7 @@ pip3 install azure-cognitiveservices-speech
+ `clear_memory_commands`: 对话内指令,主动清空前文记忆,字符串数组可自定义指令别名。
+ `hot_reload`: 程序退出后,暂存微信扫码状态,默认关闭。
+ `character_desc` 配置中保存着你对机器人说的一段话,他会记住这段话并作为他的设定,你可以为他定制任何人格 (关于会话上下文的更多内容参考该 [issue](https://github.com/zhayujie/chatgpt-on-wechat/issues/43))
+ `subscribe_msg`:订阅消息,公众号和企业微信channel中请填写,当被订阅时会自动回复, 可使用特殊占位符。目前支持的占位符有{trigger_prefix},在程序中它会自动替换成bot的触发词。

**所有可选的配置项均在该[文件](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/config.py)中列出。**



+ 1
- 1
app.py 파일 보기

@@ -43,7 +43,7 @@ def run():
# os.environ['WECHATY_PUPPET_SERVICE_ENDPOINT'] = '127.0.0.1:9001'

channel = channel_factory.create_channel(channel_name)
if channel_name in ["wx", "wxy", "terminal", "wechatmp", "wechatmp_service"]:
if channel_name in ["wx", "wxy", "terminal", "wechatmp", "wechatmp_service", "wechatcom_app"]:
PluginManager().load_plugins()

# startup channel


+ 4
- 0
channel/channel_factory.py 파일 보기

@@ -29,4 +29,8 @@ def create_channel(channel_type):
from channel.wechatmp.wechatmp_channel import WechatMPChannel

return WechatMPChannel(passive_reply=False)
elif channel_type == "wechatcom_app":
from channel.wechatcom.wechatcomapp_channel import WechatComAppChannel

return WechatComAppChannel()
raise RuntimeError

+ 2
- 2
channel/wechat/wechat_channel.py 파일 보기

@@ -29,7 +29,7 @@ from plugins import *
@itchat.msg_register([TEXT, VOICE, PICTURE, NOTE])
def handler_single_msg(msg):
try:
cmsg = WeChatMessage(msg, False)
cmsg = WechatMessage(msg, False)
except NotImplementedError as e:
logger.debug("[WX]single message {} skipped: {}".format(msg["MsgId"], e))
return None
@@ -40,7 +40,7 @@ def handler_single_msg(msg):
@itchat.msg_register([TEXT, VOICE, PICTURE, NOTE], isGroupChat=True)
def handler_group_msg(msg):
try:
cmsg = WeChatMessage(msg, True)
cmsg = WechatMessage(msg, True)
except NotImplementedError as e:
logger.debug("[WX]group message {} skipped: {}".format(msg["MsgId"], e))
return None


+ 1
- 1
channel/wechat/wechat_message.py 파일 보기

@@ -8,7 +8,7 @@ from lib import itchat
from lib.itchat.content import *


class WeChatMessage(ChatMessage):
class WechatMessage(ChatMessage):
def __init__(self, itchat_msg, is_group=False):
super().__init__(itchat_msg)
self.msg_id = itchat_msg["MsgId"]


+ 59
- 0
channel/wechatcom/README.md 파일 보기

@@ -0,0 +1,59 @@
# 企业微信应用号channel

企业微信官方提供了客服、应用等API,本channel使用的是企业微信的应用API的能力。

因为未来可能还会开发客服能力,所以本channel的类型名叫作`wechatcom_app`。

`wechatcom_app` channel支持插件系统和图片声音交互等能力,除了无法加入群聊,作为个人使用的私人助理已绰绰有余。

## 开始之前

- 在企业中确认自己拥有在企业内自建应用的权限。
- 如果没有权限或者是个人用户,也可创建未认证的企业。操作方式:登录手机企业微信,选择`创建/加入企业`来创建企业,类型请选择企业,企业名称可随意填写。
未认证的企业有100人的服务人数上限,其他功能与认证企业没有差异。

本channel需安装的依赖与公众号一致,需要安装`wechatpy`和`web.py`,它们包含在`requirements-optional.txt`中。

## 使用方法

1.查看企业ID

- 扫码登陆[企业微信后台](https://work.weixin.qq.com)
- 选择`我的企业`,点击`企业信息`,记住该`企业ID`

2.创建自建应用

- 选择应用管理, 在自建区选创建应用来创建企业自建应用
- 上传应用logo,填写应用名称等项
- 创建应用后进入应用详情页面,记住`AgentId`和`Secert`

3.配置应用

- 在详情页如果点击`企业可信IP`的配置(没看到可以不管),填入你服务器的公网IP
- 点击`接收消息`下的启用API接收消息
- `URL`填写格式为`http://url:port/wxcomapp`,`port`是程序监听的端口,默认是9898
如果是未认证的企业,url可直接使用服务器的IP。如果是认证企业,需要使用备案的域名,可使用二级域名。
- `Token`可随意填写,停留在这个页面
- 在程序根目录`config.json`中增加配置(**去掉注释**),`wechatcomapp_aes_key`是当前页面的`wechatcomapp_aes_key`

```python
"channel_type": "wechatcom_app",
"wechatcom_corp_id": "", # 企业微信公司的corpID
"wechatcomapp_token": "", # 企业微信app的token
"wechatcomapp_port": 9898, # 企业微信app的服务端口, 不需要端口转发
"wechatcomapp_secret": "", # 企业微信app的secret
"wechatcomapp_agent_id": "", # 企业微信app的agent_id
"wechatcomapp_aes_key": "", # 企业微信app的aes_key
```

- 运行程序,在页面中点击保存,保存成功说明验证成功

4.连接个人微信

选择`我的企业`,点击`微信插件`,下面有个邀请关注的二维码。微信扫码后,即可在微信中看到对应企业,在这里你便可以和机器人沟通。

## 测试体验

AIGC开放社区中已经部署了多个可免费使用的Bot,扫描下方的二维码会自动邀请你来体验。

<img width="200" src="../../docs/images/aigcopen.png">

+ 168
- 0
channel/wechatcom/wechatcomapp_channel.py 파일 보기

@@ -0,0 +1,168 @@
# -*- coding=utf-8 -*-
import io
import os
import time

import requests
import web
from wechatpy.enterprise import create_reply, parse_message
from wechatpy.enterprise.crypto import WeChatCrypto
from wechatpy.enterprise.exceptions import InvalidCorpIdException
from wechatpy.exceptions import InvalidSignatureException, WeChatClientException

from bridge.context import Context
from bridge.reply import Reply, ReplyType
from channel.chat_channel import ChatChannel
from channel.wechatcom.wechatcomapp_client import WechatComAppClient
from channel.wechatcom.wechatcomapp_message import WechatComAppMessage
from common.log import logger
from common.singleton import singleton
from common.utils import compress_imgfile, fsize, split_string_by_utf8_length
from config import conf, subscribe_msg
from voice.audio_convert import any_to_amr

MAX_UTF8_LEN = 2048


@singleton
class WechatComAppChannel(ChatChannel):
NOT_SUPPORT_REPLYTYPE = []

def __init__(self):
super().__init__()
self.corp_id = conf().get("wechatcom_corp_id")
self.secret = conf().get("wechatcomapp_secret")
self.agent_id = conf().get("wechatcomapp_agent_id")
self.token = conf().get("wechatcomapp_token")
self.aes_key = conf().get("wechatcomapp_aes_key")
print(self.corp_id, self.secret, self.agent_id, self.token, self.aes_key)
logger.info(
"[wechatcom] init: corp_id: {}, secret: {}, agent_id: {}, token: {}, aes_key: {}".format(self.corp_id, self.secret, self.agent_id, self.token, self.aes_key)
)
self.crypto = WeChatCrypto(self.token, self.aes_key, self.corp_id)
self.client = WechatComAppClient(self.corp_id, self.secret)

def startup(self):
# start message listener
urls = ("/wxcomapp", "channel.wechatcom.wechatcomapp_channel.Query")
app = web.application(urls, globals(), autoreload=False)
port = conf().get("wechatcomapp_port", 9898)
web.httpserver.runsimple(app.wsgifunc(), ("0.0.0.0", port))

def send(self, reply: Reply, context: Context):
receiver = context["receiver"]
if reply.type in [ReplyType.TEXT, ReplyType.ERROR, ReplyType.INFO]:
reply_text = reply.content
texts = split_string_by_utf8_length(reply_text, MAX_UTF8_LEN)
if len(texts) > 1:
logger.info("[wechatcom] text too long, split into {} parts".format(len(texts)))
for i, text in enumerate(texts):
self.client.message.send_text(self.agent_id, receiver, text)
if i != len(texts) - 1:
time.sleep(0.5) # 休眠0.5秒,防止发送过快乱序
logger.info("[wechatcom] Do send text to {}: {}".format(receiver, reply_text))
elif reply.type == ReplyType.VOICE:
try:
file_path = reply.content
amr_file = os.path.splitext(file_path)[0] + ".amr"
any_to_amr(file_path, amr_file)
response = self.client.media.upload("voice", open(amr_file, "rb"))
logger.debug("[wechatcom] upload voice response: {}".format(response))
except WeChatClientException as e:
logger.error("[wechatcom] upload voice failed: {}".format(e))
return
try:
os.remove(file_path)
if amr_file != file_path:
os.remove(amr_file)
except Exception:
pass
self.client.message.send_voice(self.agent_id, receiver, response["media_id"])
logger.info("[wechatcom] sendVoice={}, receiver={}".format(reply.content, receiver))
elif reply.type == ReplyType.IMAGE_URL: # 从网络下载图片
img_url = reply.content
pic_res = requests.get(img_url, stream=True)
image_storage = io.BytesIO()
for block in pic_res.iter_content(1024):
image_storage.write(block)
if (sz := fsize(image_storage)) >= 10 * 1024 * 1024:
logger.info("[wechatcom] image too large, ready to compress, sz={}".format(sz))
image_storage = compress_imgfile(image_storage, 10 * 1024 * 1024 - 1)
logger.info("[wechatcom] image compressed, sz={}".format(fsize(image_storage)))
image_storage.seek(0)
try:
response = self.client.media.upload("image", image_storage)
logger.debug("[wechatcom] upload image response: {}".format(response))
except WeChatClientException as e:
logger.error("[wechatcom] upload image failed: {}".format(e))
return

self.client.message.send_image(self.agent_id, receiver, response["media_id"])
logger.info("[wechatcom] sendImage url={}, receiver={}".format(img_url, receiver))
elif reply.type == ReplyType.IMAGE: # 从文件读取图片
image_storage = reply.content
if (sz := fsize(image_storage)) >= 10 * 1024 * 1024:
logger.info("[wechatcom] image too large, ready to compress, sz={}".format(sz))
image_storage = compress_imgfile(image_storage, 10 * 1024 * 1024 - 1)
logger.info("[wechatcom] image compressed, sz={}".format(fsize(image_storage)))
image_storage.seek(0)
try:
response = self.client.media.upload("image", image_storage)
logger.debug("[wechatcom] upload image response: {}".format(response))
except WeChatClientException as e:
logger.error("[wechatcom] upload image failed: {}".format(e))
return
self.client.message.send_image(self.agent_id, receiver, response["media_id"])
logger.info("[wechatcom] sendImage, receiver={}".format(receiver))


class Query:
def GET(self):
channel = WechatComAppChannel()
params = web.input()
logger.info("[wechatcom] receive params: {}".format(params))
try:
signature = params.msg_signature
timestamp = params.timestamp
nonce = params.nonce
echostr = params.echostr
echostr = channel.crypto.check_signature(signature, timestamp, nonce, echostr)
except InvalidSignatureException:
raise web.Forbidden()
return echostr

def POST(self):
channel = WechatComAppChannel()
params = web.input()
logger.info("[wechatcom] receive params: {}".format(params))
try:
signature = params.msg_signature
timestamp = params.timestamp
nonce = params.nonce
message = channel.crypto.decrypt_message(web.data(), signature, timestamp, nonce)
except (InvalidSignatureException, InvalidCorpIdException):
raise web.Forbidden()
msg = parse_message(message)
logger.debug("[wechatcom] receive message: {}, msg= {}".format(message, msg))
if msg.type == "event":
if msg.event == "subscribe":
reply_content = subscribe_msg()
if reply_content:
reply = create_reply(reply_content, msg).render()
res = channel.crypto.encrypt_message(reply, nonce, timestamp)
return res
else:
try:
wechatcom_msg = WechatComAppMessage(msg, client=channel.client)
except NotImplementedError as e:
logger.debug("[wechatcom] " + str(e))
return "success"
context = channel._compose_context(
wechatcom_msg.ctype,
wechatcom_msg.content,
isgroup=False,
msg=wechatcom_msg,
)
if context:
channel.produce(context)
return "success"

+ 21
- 0
channel/wechatcom/wechatcomapp_client.py 파일 보기

@@ -0,0 +1,21 @@
import threading
import time

from wechatpy.enterprise import WeChatClient


class WechatComAppClient(WeChatClient):
def __init__(self, corp_id, secret, access_token=None, session=None, timeout=None, auto_retry=True):
super(WechatComAppClient, self).__init__(corp_id, secret, access_token, session, timeout, auto_retry)
self.fetch_access_token_lock = threading.Lock()

def fetch_access_token(self): # 重载父类方法,加锁避免多线程重复获取access_token
with self.fetch_access_token_lock:
access_token = self.session.get(self.access_token_key)
if access_token:
if not self.expires_at:
return access_token
timestamp = time.time()
if self.expires_at - timestamp > 60:
return access_token
return super().fetch_access_token()

+ 52
- 0
channel/wechatcom/wechatcomapp_message.py 파일 보기

@@ -0,0 +1,52 @@
from wechatpy.enterprise import WeChatClient

from bridge.context import ContextType
from channel.chat_message import ChatMessage
from common.log import logger
from common.tmp_dir import TmpDir


class WechatComAppMessage(ChatMessage):
def __init__(self, msg, client: WeChatClient, is_group=False):
super().__init__(msg)
self.msg_id = msg.id
self.create_time = msg.time
self.is_group = is_group

if msg.type == "text":
self.ctype = ContextType.TEXT
self.content = msg.content
elif msg.type == "voice":
self.ctype = ContextType.VOICE
self.content = TmpDir().path() + msg.media_id + "." + msg.format # content直接存临时目录路径

def download_voice():
# 如果响应状态码是200,则将响应内容写入本地文件
response = client.media.download(msg.media_id)
if response.status_code == 200:
with open(self.content, "wb") as f:
f.write(response.content)
else:
logger.info(f"[wechatcom] Failed to download voice file, {response.content}")

self._prepare_fn = download_voice
elif msg.type == "image":
self.ctype = ContextType.IMAGE
self.content = TmpDir().path() + msg.media_id + ".png" # content直接存临时目录路径

def download_image():
# 如果响应状态码是200,则将响应内容写入本地文件
response = client.media.download(msg.media_id)
if response.status_code == 200:
with open(self.content, "wb") as f:
f.write(response.content)
else:
logger.info(f"[wechatcom] Failed to download image file, {response.content}")

self._prepare_fn = download_image
else:
raise NotImplementedError("Unsupported message type: Type:{} ".format(msg.type))

self.from_user_id = msg.source
self.to_user_id = msg.target
self.other_user_id = msg.source

+ 5
- 4
channel/wechatmp/active_reply.py 파일 보기

@@ -10,7 +10,7 @@ from channel.wechatmp.common import *
from channel.wechatmp.wechatmp_channel import WechatMPChannel
from channel.wechatmp.wechatmp_message import WeChatMPMessage
from common.log import logger
from config import conf
from config import conf, subscribe_msg


# This class is instantiated once per query
@@ -66,13 +66,14 @@ class Query:
logger.info("[wechatmp] Event {} from {}".format(msg.event, msg.source))
if msg.event in ["subscribe", "subscribe_scan"]:
reply_text = subscribe_msg()
replyPost = create_reply(reply_text, msg)
return encrypt_func(replyPost.render())
if reply_text:
replyPost = create_reply(reply_text, msg)
return encrypt_func(replyPost.render())
else:
return "success"
else:
logger.info("暂且不处理")
return "success"
return "success"
except Exception as exc:
logger.exception(exc)
return exc

+ 0
- 35
channel/wechatmp/common.py 파일 보기

@@ -1,5 +1,3 @@
import textwrap

import web
from wechatpy.crypto import WeChatCrypto
from wechatpy.exceptions import InvalidSignatureException
@@ -27,36 +25,3 @@ def verify_server(data):
raise web.Forbidden("Invalid signature")
except Exception as e:
raise web.Forbidden(str(e))


def subscribe_msg():
trigger_prefix = conf().get("single_chat_prefix", [""])[0]
msg = textwrap.dedent(
f"""\
感谢您的关注!
这里是ChatGPT,可以自由对话。
资源有限,回复较慢,请勿着急。
支持语音对话。
支持图片输入。
支持图片输出,画字开头的消息将按要求创作图片。
支持tool、角色扮演和文字冒险等丰富的插件。
输入'{trigger_prefix}#帮助' 查看详细指令。"""
)
return msg


def split_string_by_utf8_length(string, max_length, max_split=0):
encoded = string.encode("utf-8")
start, end = 0, 0
result = []
while end < len(encoded):
if max_split > 0 and len(result) >= max_split:
result.append(encoded[start:].decode("utf-8"))
break
end = min(start + max_length, len(encoded))
# 如果当前字节不是 UTF-8 编码的开始字节,则向前查找直到找到开始字节为止
while end < len(encoded) and (encoded[end] & 0b11000000) == 0b10000000:
end -= 1
result.append(encoded[start:end].decode("utf-8"))
start = end
return result

+ 6
- 5
channel/wechatmp/passive_reply.py 파일 보기

@@ -11,7 +11,8 @@ from channel.wechatmp.common import *
from channel.wechatmp.wechatmp_channel import WechatMPChannel
from channel.wechatmp.wechatmp_message import WeChatMPMessage
from common.log import logger
from config import conf
from common.utils import split_string_by_utf8_length
from config import conf, subscribe_msg


# This class is instantiated once per query
@@ -199,14 +200,14 @@ class Query:
logger.info("[wechatmp] Event {} from {}".format(msg.event, msg.source))
if msg.event in ["subscribe", "subscribe_scan"]:
reply_text = subscribe_msg()
replyPost = create_reply(reply_text, msg)
return encrypt_func(replyPost.render())
if reply_text:
replyPost = create_reply(reply_text, msg)
return encrypt_func(replyPost.render())
else:
return "success"

else:
logger.info("暂且不处理")
return "success"
return "success"
except Exception as exc:
logger.exception(exc)
return exc

+ 4
- 1
channel/wechatmp/wechatmp_channel.py 파일 보기

@@ -18,6 +18,7 @@ from channel.wechatmp.common import *
from channel.wechatmp.wechatmp_client import WechatMPClient
from common.log import logger
from common.singleton import singleton
from common.utils import split_string_by_utf8_length
from config import conf
from voice.audio_convert import any_to_mp3

@@ -140,8 +141,10 @@ class WechatMPChannel(ChatChannel):
texts = split_string_by_utf8_length(reply_text, MAX_UTF8_LEN)
if len(texts) > 1:
logger.info("[wechatmp] text too long, split into {} parts".format(len(texts)))
for text in texts:
for i, text in enumerate(texts):
self.client.message.send_text(receiver, text)
if i != len(texts) - 1:
time.sleep(0.5) # 休眠0.5秒,防止发送过快乱序
logger.info("[wechatmp] Do send text to {}: {}".format(receiver, reply_text))
elif reply.type == ReplyType.VOICE:
try:


+ 51
- 0
common/utils.py 파일 보기

@@ -0,0 +1,51 @@
import io
import os

from PIL import Image


def fsize(file):
if isinstance(file, io.BytesIO):
return file.getbuffer().nbytes
elif isinstance(file, str):
return os.path.getsize(file)
elif hasattr(file, "seek") and hasattr(file, "tell"):
pos = file.tell()
file.seek(0, os.SEEK_END)
size = file.tell()
file.seek(pos)
return size
else:
raise TypeError("Unsupported type")


def compress_imgfile(file, max_size):
if fsize(file) <= max_size:
return file
file.seek(0)
img = Image.open(file)
rgb_image = img.convert("RGB")
quality = 95
while True:
out_buf = io.BytesIO()
rgb_image.save(out_buf, "JPEG", quality=quality)
if fsize(out_buf) <= max_size:
return out_buf
quality -= 5


def split_string_by_utf8_length(string, max_length, max_split=0):
encoded = string.encode("utf-8")
start, end = 0, 0
result = []
while end < len(encoded):
if max_split > 0 and len(result) >= max_split:
result.append(encoded[start:].decode("utf-8"))
break
end = min(start + max_length, len(encoded))
# 如果当前字节不是 UTF-8 编码的开始字节,则向前查找直到找到开始字节为止
while end < len(encoded) and (encoded[end] & 0b11000000) == 0b10000000:
end -= 1
result.append(encoded[start:end].decode("utf-8"))
start = end
return result

+ 2
- 1
config-template.json 파일 보기

@@ -27,5 +27,6 @@
"voice_reply_voice": false,
"conversation_max_tokens": 1000,
"expires_in_seconds": 3600,
"character_desc": "你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题,并且可以使用多种语言与人交流。"
"character_desc": "你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题,并且可以使用多种语言与人交流。",
"subcribe_msg": "感谢您的关注!\n这里是ChatGPT,可以自由对话。\n支持语音对话。\n支持图片输入。\n支持图片输出,画字开头的消息将按要求创作图片。\n支持tool、角色扮演和文字冒险等丰富的插件。\n输入{trigger_prefix}#help 查看详细指令。"
}

+ 23
- 3
config.py 파일 보기

@@ -8,6 +8,7 @@ import pickle
from common.log import logger

# 将所有可用的配置项写在字典里, 请使用小写字母
# 此处的配置值无实际意义,程序不会读取此处的配置,仅用于提示格式,请将配置加入到config.json中
available_setting = {
# openai api配置
"open_ai_api_key": "", # openai api key
@@ -81,10 +82,19 @@ available_setting = {
"wechatmp_app_id": "", # 微信公众平台的appID
"wechatmp_app_secret": "", # 微信公众平台的appsecret
"wechatmp_aes_key": "", # 微信公众平台的EncodingAESKey,加密模式需要
# wechatcom的通用配置
"wechatcom_corp_id": "", # 企业微信公司的corpID
# wechatcomapp的配置
"wechatcomapp_token": "", # 企业微信app的token
"wechatcomapp_port": 9898, # 企业微信app的服务端口,不需要端口转发
"wechatcomapp_secret": "", # 企业微信app的secret
"wechatcomapp_agent_id": "", # 企业微信app的agent_id
"wechatcomapp_aes_key": "", # 企业微信app的aes_key
# chatgpt指令自定义触发词
"clear_memory_commands": ["#清除记忆"], # 重置会话指令,必须以#开头
# channel配置
"channel_type": "wx", # 通道类型,支持:{wx,wxy,terminal,wechatmp,wechatmp_service}
"channel_type": "wx", # 通道类型,支持:{wx,wxy,terminal,wechatmp,wechatmp_service,wechatcom_app}
"subscribe_msg": "", # 订阅消息, 支持: wechatmp, wechatmp_service, wechatcom_app
"debug": False, # 是否开启debug模式,开启后会打印更多日志
"appdata_dir": "", # 数据目录
# 插件配置
@@ -93,8 +103,12 @@ available_setting = {


class Config(dict):
def __init__(self, d: dict = {}):
super().__init__(d)
def __init__(self, d=None):
super().__init__()
if d is None:
d = {}
for k, v in d.items():
self[k] = v
# user_datas: 用户数据,key为用户名,value为用户数据,也是dict
self.user_datas = {}

@@ -202,3 +216,9 @@ def get_appdata_dir():
logger.info("[INIT] data path not exists, create it: {}".format(data_path))
os.makedirs(data_path)
return data_path


def subscribe_msg():
trigger_prefix = conf().get("single_chat_prefix", [""])[0]
msg = conf().get("subscribe_msg", "")
return msg.format(trigger_prefix=trigger_prefix)

BIN
docs/images/aigcopen.png 파일 보기

Before After
Width: 800  |  Height: 800  |  Size: 51KB

+ 1
- 1
requirements-optional.txt 파일 보기

@@ -18,7 +18,7 @@ wechaty>=0.10.7
wechaty_puppet>=0.4.23
pysilk_mod>=1.6.0 # needed by send voice

# wechatmp
# wechatmp wechatcom
web.py
wechatpy



+ 14
- 0
voice/audio_convert.py 파일 보기

@@ -80,6 +80,20 @@ def any_to_sil(any_path, sil_path):
return audio.duration_seconds * 1000


def any_to_amr(any_path, amr_path):
"""
把任意格式转成amr文件
"""
if any_path.endswith(".amr"):
shutil.copy2(any_path, amr_path)
return
if any_path.endswith(".sil") or any_path.endswith(".silk") or any_path.endswith(".slk"):
raise NotImplementedError("Not support file type: {}".format(any_path))
audio = AudioSegment.from_file(any_path)
audio = audio.set_frame_rate(8000) # only support 8000
audio.export(amr_path, format="amr")


def sil_to_wav(silk_path, wav_path, rate: int = 24000):
"""
silk 文件转 wav


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