refactor code

.dockerignore

@@ -5,12 +5,17 @@ Dockerfile
 .dockerignore
 config.json
 config.json.sample
-bot
+db
 bot.log
 venv
-compose.yaml
+.venv
+*.yaml
+*.yml
 .git
 .idea
 __pycache__
-venv
+.env
+.env.example
+.github
+settings.js
 

.env.example

@@ -0,0 +1,10 @@
+HOMESERVER="https://matrix.xxxxxx.xxxx" # required
+USER_ID="@lullap:xxxxxxxxxxxxx.xxx" # required
+PASSWORD="xxxxxxxxxxxxxxx" # required
+DEVICE_ID="xxxxxxxxxxxxxx" # required
+ROOM_ID="!FYCmBSkCRUXXXXXXXXX:matrix.XXX.XXX" # Optional, if the property is blank, bot will work on the room it is in (Unencrypted room only as for now)
+OPENAI_API_KEY="xxxxxxxxxxxxxxxxx" # Optional, for !chat and !gpt command
+BING_API_ENDPOINT="xxxxxxxxxxxxxxx" # Optional, for !bing command
+ACCESS_TOKEN="xxxxxxxxxxxxxxxxxxxxx" # Optional, use user_id and password is recommended
+JAILBREAKENABLED="true" # Optional
+BING_AUTH_COOKIE="xxxxxxxxxxxxxxxxxxx" # _U cookie, Optional, for Bing Image Creator

.gitignore

@@ -26,7 +26,7 @@ share/python-wheels/
 .installed.cfg
 *.egg
 MANIFEST
-bot
+db
 bot.log
 
 # image generation folder
@@ -135,6 +135,7 @@ env.bak/
 venv.bak/
 config.json
 compose_local_build.yaml
+settings.js
 
 # Spyder project settings
 .spyderproject

.vscode/settings.json

@@ -0,0 +1,3 @@
+{
+    "python.analysis.typeCheckingMode": "off"
+}

BingImageGen.py

@@ -105,16 +105,5 @@ class ImageGen:
             with open(f"{output_dir}/{image_name}.jpeg", "wb") as output_file:
                 for chunk in response.iter_content(chunk_size=8192):
                     output_file.write(chunk)
-        # image_num = 0
-        # for link in links:
-        #     with self.session.get(link, stream=True) as response:
-        #         # save response to file
-        #         response.raise_for_status()
-        #         with open(f"{output_dir}/{image_num}.jpeg", "wb") as output_file:
-        #             for chunk in response.iter_content(chunk_size=8192):
-        #                 output_file.write(chunk)
-        #
-        #     image_num += 1
 
-        # return image path
         return f"{output_dir}/{image_name}.jpeg"

Dockerfile

@@ -2,7 +2,7 @@ FROM python:3.11-alpine as base
 
 FROM base as pybuilder
 RUN sed -i 's|v3\.\d*|edge|' /etc/apk/repositories
-RUN apk update && apk add olm-dev gcc musl-dev tzdata libmagic
+RUN apk update && apk add olm-dev gcc musl-dev libmagic
 COPY requirements.txt /requirements.txt
 RUN pip3 install --user -r /requirements.txt && rm /requirements.txt
 
@@ -11,12 +11,10 @@ FROM base as runner
 LABEL "org.opencontainers.image.source"="https://github.com/hibobmaster/matrix_chatgpt_bot"
 RUN apk update && apk add olm-dev libmagic
 COPY --from=pybuilder /root/.local /usr/local
-COPY --from=pybuilder /usr/share/zoneinfo /usr/share/zoneinfo
 COPY . /app
 
 
 FROM runner
-ENV TZ=Asia/Shanghai
 WORKDIR /app
 CMD ["python", "main.py"]
 

README.md

@@ -3,11 +3,11 @@ This is a simple Matrix bot that uses OpenAI's GPT API and Bing AI to generate r
 ![demo](https://i.imgur.com/kK4rnPf.jpeg "demo")
 
 ## Installation and Setup
-Docker method:<br>
-Edit `config.json` with proper values <br>
+Docker method(Recommended):<br>
+Edit `config.json` or `.env` with proper values <br>
 Create an empty file, for persist database only<br>
 ```bash
-touch bot
+touch db
 sudo docker compose up -d
 ```
 <hr>

askgpt.py

@@ -4,8 +4,11 @@ import json
 from log import getlogger
 logger = getlogger()
 
+class askGPT:
+    def __init__(self):
+        self.session = aiohttp.ClientSession()
 
-async def ask(prompt: str, api_endpoint: str, headers: dict) -> str:
+    async def oneTimeAsk(self, prompt: str, api_endpoint: str, headers: dict) -> str:
         jsons = {
             "model": "gpt-3.5-turbo",
             "messages": [
@@ -15,11 +18,10 @@ async def ask(prompt: str, api_endpoint: str, headers: dict) -> str:
                 },
             ],
         }
-    async with aiohttp.ClientSession() as session:
         max_try = 5
         while max_try > 0:
             try:
-                async with session.post(url=api_endpoint,
+                async with self.session.post(url=api_endpoint,
                                         json=jsons, headers=headers, timeout=30) as response:
                     status_code = response.status
                     if not status_code == 200:
@@ -31,9 +33,6 @@ async def ask(prompt: str, api_endpoint: str, headers: dict) -> str:
                         continue
 
                     resp = await response.read()
-                    await session.close()
                     return json.loads(resp)['choices'][0]['message']['content']
             except Exception as e:
                 logger.error("Error Exception", exc_info=True)
-                print(e)
-                pass

bing.py

@@ -4,31 +4,28 @@ import asyncio
 from log import getlogger
 # api_endpoint = "http://localhost:3000/conversation"
 logger = getlogger()
-python_boolean_to_json = {
-    "true": True,
-}
 
 
 class BingBot:
     def __init__(self, bing_api_endpoint: str, jailbreakEnabled: bool = False):
         self.data = {
-            # 'jailbreakConversationId': json.dumps(python_boolean_to_json['true']),
             'clientOptions.clientToUse': 'bing',
         }
         self.bing_api_endpoint = bing_api_endpoint
 
+        self.session = aiohttp.ClientSession()
+
         self.jailbreakEnabled = jailbreakEnabled
 
         if self.jailbreakEnabled:
-            self.data['jailbreakConversationId'] = json.dumps(python_boolean_to_json['true'])
+            self.data['jailbreakConversationId'] = json.dumps(True)
 
     async def ask_bing(self, prompt) -> str:
         self.data['message'] = prompt
-        async with aiohttp.ClientSession() as session:
         max_try = 5
         while max_try > 0:
             try:
-                    resp = await session.post(url=self.bing_api_endpoint, json=self.data)
+                resp = await self.session.post(url=self.bing_api_endpoint, json=self.data)
                 status_code = resp.status
                 body = await resp.read()
                 if not status_code == 200:

bot.py

@@ -2,23 +2,33 @@ import sys
 import asyncio
 import re
 import os
-from typing import Optional
-from nio import AsyncClient, MatrixRoom, RoomMessageText, LoginResponse, AsyncClientConfig
+import traceback
+from typing import Optional, Union
+from nio import (
+    AsyncClient,
+    MatrixRoom,
+    RoomMessageText,
+    InviteMemberEvent,
+    LoginResponse,
+    JoinError,
+    ToDeviceError,
+    LocalProtocolError,
+    KeyVerificationEvent,
+    KeyVerificationStart,
+    KeyVerificationCancel,
+    KeyVerificationKey,
+    KeyVerificationMac,
+    AsyncClientConfig
+    )
 from nio.store.database import SqliteStore
-from ask_gpt import ask
+from askgpt import askGPT
 from send_message import send_room_message
 from v3 import Chatbot
 from log import getlogger
 from bing import BingBot
 from BingImageGen import ImageGen
 from send_image import send_room_image
-"""
-free api_endpoint from https://github.com/ayaka14732/ChatGPTAPIFree
-"""
-chatgpt_api_endpoint_list = {
-    "free": "https://chatgpt-api.shn.hk/v1/",
-    "paid": "https://api.openai.com/v1/chat/completions"
-}
+
 logger = getlogger()
 
 
@@ -27,35 +37,45 @@ class Bot:
         self,
         homeserver: str,
         user_id: str,
-        password: str,
         device_id: str,
-        api_key: Optional[str] = "",
+        chatgpt_api_endpoint: str = os.environ.get("CHATGPT_API_ENDPOINT") or "https://api.openai.com/v1/chat/completions",
+        api_key: Optional[str] = os.environ.get("OPENAI_API_KEY") or "",
         room_id: Optional[str] = '',
         bing_api_endpoint: Optional[str] = '',
-        access_token: Optional[str] = '',
-        jailbreakEnabled: Optional[bool] = False,
+        password: Union[str, None] = None,
+        access_token: Union[str, None] = None,
+        jailbreakEnabled: Optional[bool] = True,
         bing_auth_cookie: Optional[str] = '',
     ):
         self.homeserver = homeserver
         self.user_id = user_id
         self.password = password
+        self.access_token = access_token
         self.device_id = device_id
         self.room_id = room_id
         self.api_key = api_key
+        self.chatgpt_api_endpoint = chatgpt_api_endpoint
         self.bing_api_endpoint = bing_api_endpoint
         self.jailbreakEnabled = jailbreakEnabled
         self.bing_auth_cookie = bing_auth_cookie
         # initialize AsyncClient object
         self.store_path = os.getcwd()
         self.config = AsyncClientConfig(store=SqliteStore,
-                                        store_name="bot",
+                                        store_name="db",
                                         store_sync_tokens=True,
                                         encryption_enabled=True,
                                         )
-        self.client = AsyncClient(self.homeserver, user=self.user_id, device_id=self.device_id,
+        self.client = AsyncClient(homeserver=self.homeserver, user=self.user_id, device_id=self.device_id,
                                   config=self.config, store_path=self.store_path,)
-        if access_token != '':
-            self.client.access_token = access_token
+        
+        if self.access_token is not None:
+            self.client.access_token = self.access_token
+
+        # setup event callbacks
+        self.client.add_event_callback(self.message_callback, (RoomMessageText, ))
+        self.client.add_event_callback(self.invite_callback, (InviteMemberEvent, ))
+        self.client.add_to_device_callback(self.to_device_callback, (KeyVerificationEvent, ))
+        
         # regular expression to match keyword [!gpt {prompt}] [!chat {prompt}]
         self.gpt_prog = re.compile(r"^\s*!gpt\s*(.+)$")
         self.chat_prog = re.compile(r"^\s*!chat\s*(.+)$")
@@ -67,18 +87,21 @@ class Bot:
         if self.api_key != '':
             self.chatbot = Chatbot(api_key=self.api_key)
 
-            self.chatgpt_api_endpoint = chatgpt_api_endpoint_list['paid']
+            self.chatgpt_api_endpoint = self.chatgpt_api_endpoint
             # request header for !gpt command
             self.headers = {
                 "Content-Type": "application/json",
-                "Authorization": "Bearer " + self.api_key,
+                "Authorization": f"Bearer {self.api_key}",
             }
         else:
-            self.chatgpt_api_endpoint = chatgpt_api_endpoint_list['free']
+            self.chatgpt_api_endpoint = self.chatgpt_api_endpoint
             self.headers = {
                 "Content-Type": "application/json",
             }
 
+        # initialize askGPT class
+        self.askgpt = askGPT()
+
         # initialize bingbot
         if self.bing_api_endpoint != '':
             self.bingbot = BingBot(bing_api_endpoint, jailbreakEnabled=self.jailbreakEnabled)
@@ -100,86 +123,330 @@ class Bot:
         # reply event_id
         reply_to_event_id = event.event_id
 
+        # sender_id
+        sender_id = event.sender
+
+        # user_message
+        raw_user_message = event.body
+
         # print info to console
         print(
             f"Message received in room {room.display_name}\n"
-            f"{room.user_name(event.sender)} | {event.body}"
+            f"{room.user_name(event.sender)} | {raw_user_message}"
         )
 
+        # prevent command trigger loop
         if self.user_id != event.sender:
             # remove newline character from event.body
-            event.body = re.sub("\r\n|\r|\n", " ", event.body)
+            content_body = re.sub("\r\n|\r|\n", " ", raw_user_message)
 
             # chatgpt
-            n = self.chat_prog.match(event.body)
+            n = self.chat_prog.match(content_body)
             if n:
                 prompt = n.group(1)
                 if self.api_key != '':
-                    await self.gpt(room_id, reply_to_event_id, prompt)
+                    await self.chat(room_id, reply_to_event_id, prompt, sender_id, raw_user_message)
                 else:
                     logger.warning("No API_KEY provided")
                     await send_room_message(self.client, room_id, send_text="API_KEY not provided")
 
-            m = self.gpt_prog.match(event.body)
+            m = self.gpt_prog.match(content_body)
             if m:
                 prompt = m.group(1)
-                await self.chat(room_id, reply_to_event_id, prompt)
+                await self.gpt(room_id, reply_to_event_id, prompt, sender_id, raw_user_message)
 
             # bing ai
             if self.bing_api_endpoint != '':
-                b = self.bing_prog.match(event.body)
+                b = self.bing_prog.match(content_body)
                 if b:
                     prompt = b.group(1)
-                    await self.bing(room_id, reply_to_event_id, prompt)
+                    # raw_content_body used for construct formatted_body
+                    await self.bing(room_id, reply_to_event_id, prompt, sender_id, raw_user_message)
 
             # Image Generation by Microsoft Bing
             if self.bing_auth_cookie != '':
-                i = self.pic_prog.match(event.body)
+                i = self.pic_prog.match(content_body)
                 if i:
                     prompt = i.group(1)
                     await self.pic(room_id, prompt)
 
             # help command
-            h = self.help_prog.match(event.body)
+            h = self.help_prog.match(content_body)
             if h:
                 await self.help(room_id)
 
-    # !gpt command
-    async def gpt(self, room_id, reply_to_event_id, prompt):
-        await self.client.room_typing(room_id)
+    # invite_callback event
+    async def invite_callback(self, room: MatrixRoom, event: InviteMemberEvent) -> None:
+        """Handle an incoming invite event.
+        https://github.com/8go/matrix-eno-bot/blob/ad037e02bd2960941109e9526c1033dd157bb212/callbacks.py#L104
+        If an invite is received, then join the room specified in the invite.
+        code copied from: 
+        """
+        logger.debug(f"Got invite to {room.room_id} from {event.sender}.")
+        # Attempt to join 3 times before giving up
+        for attempt in range(3):
+            result = await self.client.join(room.room_id)
+            if type(result) == JoinError:
+                logger.error(
+                    f"Error joining room {room.room_id} (attempt %d): %s",
+                    attempt, result.message,
+                )
+            else:
+                break
+        else:
+            logger.error("Unable to join room: %s", room.room_id)
+
+        # Successfully joined room
+        logger.info(f"Joined {room.room_id}")
+        
+    # to_device_callback event
+    async def to_device_callback(self, event: KeyVerificationEvent) -> None:
+        """Handle events sent to device.
+
+        Specifically this will perform Emoji verification.
+        It will accept an incoming Emoji verification requests
+        and follow the verification protocol.
+        code copied from: https://github.com/8go/matrix-eno-bot/blob/ad037e02bd2960941109e9526c1033dd157bb212/callbacks.py#L127
+        """
         try:
-            # run synchronous function in different thread
-            text = await asyncio.to_thread(self.chatbot.ask, prompt)
-            text = text.strip()
-            await send_room_message(self.client, room_id, send_text=text,
-                                    reply_to_event_id=reply_to_event_id)
+            client = self.client
+            logger.debug(
+                f"Device Event of type {type(event)} received in "
+                "to_device_cb().")
+
+            if isinstance(event, KeyVerificationStart):  # first step
+                """ first step: receive KeyVerificationStart
+                KeyVerificationStart(
+                    source={'content':
+                            {'method': 'm.sas.v1',
+                             'from_device': 'DEVICEIDXY',
+                             'key_agreement_protocols':
+                                ['curve25519-hkdf-sha256', 'curve25519'],
+                             'hashes': ['sha256'],
+                             'message_authentication_codes':
+                                ['hkdf-hmac-sha256', 'hmac-sha256'],
+                             'short_authentication_string':
+                                ['decimal', 'emoji'],
+                             'transaction_id': 'SomeTxId'
+                             },
+                            'type': 'm.key.verification.start',
+                            'sender': '@user2:example.org'
+                            },
+                    sender='@user2:example.org',
+                    transaction_id='SomeTxId',
+                    from_device='DEVICEIDXY',
+                    method='m.sas.v1',
+                    key_agreement_protocols=[
+                        'curve25519-hkdf-sha256', 'curve25519'],
+                    hashes=['sha256'],
+                    message_authentication_codes=[
+                        'hkdf-hmac-sha256', 'hmac-sha256'],
+                    short_authentication_string=['decimal', 'emoji'])
+                """
+
+                if "emoji" not in event.short_authentication_string:
+                    estr = ("Other device does not support emoji verification "
+                            f"{event.short_authentication_string}. Aborting.")
+                    print(estr)
+                    logger.info(estr)
+                    return
+                resp = await client.accept_key_verification(
+                    event.transaction_id)
+                if isinstance(resp, ToDeviceError):
+                    estr = f"accept_key_verification() failed with {resp}"
+                    print(estr)
+                    logger.info(estr)
+
+                sas = client.key_verifications[event.transaction_id]
+
+                todevice_msg = sas.share_key()
+                resp = await client.to_device(todevice_msg)
+                if isinstance(resp, ToDeviceError):
+                    estr = f"to_device() failed with {resp}"
+                    print(estr)
+                    logger.info(estr)
+
+            elif isinstance(event, KeyVerificationCancel):  # anytime
+                """ at any time: receive KeyVerificationCancel
+                KeyVerificationCancel(source={
+                    'content': {'code': 'm.mismatched_sas',
+                                'reason': 'Mismatched authentication string',
+                                'transaction_id': 'SomeTxId'},
+                    'type': 'm.key.verification.cancel',
+                    'sender': '@user2:example.org'},
+                    sender='@user2:example.org',
+                    transaction_id='SomeTxId',
+                    code='m.mismatched_sas',
+                    reason='Mismatched short authentication string')
+                """
+
+                # There is no need to issue a
+                # client.cancel_key_verification(tx_id, reject=False)
+                # here. The SAS flow is already cancelled.
+                # We only need to inform the user.
+                estr = (f"Verification has been cancelled by {event.sender} "
+                        f"for reason \"{event.reason}\".")
+                print(estr)
+                logger.info(estr)
+
+            elif isinstance(event, KeyVerificationKey):  # second step
+                """ Second step is to receive KeyVerificationKey
+                KeyVerificationKey(
+                    source={'content': {
+                            'key': 'SomeCryptoKey',
+                            'transaction_id': 'SomeTxId'},
+                        'type': 'm.key.verification.key',
+                        'sender': '@user2:example.org'
+                    },
+                    sender='@user2:example.org',
+                    transaction_id='SomeTxId',
+                    key='SomeCryptoKey')
+                """
+                sas = client.key_verifications[event.transaction_id]
+
+                print(f"{sas.get_emoji()}")
+                # don't log the emojis
+
+                # The bot process must run in forground with a screen and
+                # keyboard so that user can accept/reject via keyboard.
+                # For emoji verification bot must not run as service or
+                # in background.
+                yn = input("Do the emojis match? (Y/N) (C for Cancel) ")
+                if yn.lower() == "y":
+                    estr = ("Match! The verification for this "
+                            "device will be accepted.")
+                    print(estr)
+                    logger.info(estr)
+                    resp = await client.confirm_short_auth_string(
+                        event.transaction_id)
+                    if isinstance(resp, ToDeviceError):
+                        estr = ("confirm_short_auth_string() "
+                                f"failed with {resp}")
+                        print(estr)
+                        logger.info(estr)
+                elif yn.lower() == "n":  # no, don't match, reject
+                    estr = ("No match! Device will NOT be verified "
+                            "by rejecting verification.")
+                    print(estr)
+                    logger.info(estr)
+                    resp = await client.cancel_key_verification(
+                        event.transaction_id, reject=True)
+                    if isinstance(resp, ToDeviceError):
+                        estr = (f"cancel_key_verification failed with {resp}")
+                        print(estr)
+                        logger.info(estr)
+                else:  # C or anything for cancel
+                    estr = ("Cancelled by user! Verification will be "
+                            "cancelled.")
+                    print(estr)
+                    logger.info(estr)
+                    resp = await client.cancel_key_verification(
+                        event.transaction_id, reject=False)
+                    if isinstance(resp, ToDeviceError):
+                        estr = (f"cancel_key_verification failed with {resp}")
+                        print(estr)
+                        logger.info(estr)
+
+            elif isinstance(event, KeyVerificationMac):  # third step
+                """ Third step is to receive KeyVerificationMac
+                KeyVerificationMac(
+                    source={'content': {
+                        'mac': {'ed25519:DEVICEIDXY': 'SomeKey1',
+                                'ed25519:SomeKey2': 'SomeKey3'},
+                        'keys': 'SomeCryptoKey4',
+                        'transaction_id': 'SomeTxId'},
+                        'type': 'm.key.verification.mac',
+                        'sender': '@user2:example.org'},
+                    sender='@user2:example.org',
+                    transaction_id='SomeTxId',
+                    mac={'ed25519:DEVICEIDXY': 'SomeKey1',
+                         'ed25519:SomeKey2': 'SomeKey3'},
+                    keys='SomeCryptoKey4')
+                """
+                sas = client.key_verifications[event.transaction_id]
+                try:
+                    todevice_msg = sas.get_mac()
+                except LocalProtocolError as e:
+                    # e.g. it might have been cancelled by ourselves
+                    estr = (f"Cancelled or protocol error: Reason: {e}.\n"
+                            f"Verification with {event.sender} not concluded. "
+                            "Try again?")
+                    print(estr)
+                    logger.info(estr)
+                else:
+                    resp = await client.to_device(todevice_msg)
+                    if isinstance(resp, ToDeviceError):
+                        estr = f"to_device failed with {resp}"
+                        print(estr)
+                        logger.info(estr)
+                    estr = (f"sas.we_started_it = {sas.we_started_it}\n"
+                            f"sas.sas_accepted = {sas.sas_accepted}\n"
+                            f"sas.canceled = {sas.canceled}\n"
+                            f"sas.timed_out = {sas.timed_out}\n"
+                            f"sas.verified = {sas.verified}\n"
+                            f"sas.verified_devices = {sas.verified_devices}\n")
+                    print(estr)
+                    logger.info(estr)
+                    estr = ("Emoji verification was successful!\n"
+                            "Initiate another Emoji verification from "
+                            "another device or room if desired. "
+                            "Or if done verifying, hit Control-C to stop the "
+                            "bot in order to restart it as a service or to "
+                            "run it in the background.")
+                    print(estr)
+                    logger.info(estr)
+            else:
+                estr = (f"Received unexpected event type {type(event)}. "
+                        f"Event is {event}. Event will be ignored.")
+                print(estr)
+                logger.info(estr)
+        except BaseException:
+            estr = traceback.format_exc()
+            print(estr)
+            logger.info(estr)
+
+    # !chat command
+    async def chat(self, room_id, reply_to_event_id, prompt, sender_id, raw_user_message):
+        await self.client.room_typing(room_id, timeout=120000)
+        try:
+            text = await asyncio.wait_for(self.chatbot.ask_async(prompt), timeout=120)
+        except TimeoutError as e:
+            logger.error("timeoutException", exc_info=True)
+            text = "Timeout error"
         except Exception as e:
             logger.error("Error", exc_info=True)
             print(f"Error: {e}")
 
-    # !chat command
-    async def chat(self, room_id, reply_to_event_id, prompt):
+        text = text.strip()
+        try:
+            await send_room_message(self.client, room_id, reply_message=text,
+                                reply_to_event_id=reply_to_event_id, sender_id=sender_id, user_message=raw_user_message)
+        except Exception as e:
+            logger.error(f"Error: {e}", exc_info=True)
+        
+    # !gpt command
+    async def gpt(self, room_id, reply_to_event_id, prompt, sender_id, raw_user_message):
         try:
             # sending typing state
-            await self.client.room_typing(room_id)
+            await self.client.room_typing(room_id, timeout=120000)
             # timeout 120s
-            text = await asyncio.wait_for(ask(prompt, self.chatgpt_api_endpoint, self.headers), timeout=120)
+            text = await asyncio.wait_for(self.askgpt.oneTimeAsk(prompt, self.chatgpt_api_endpoint, self.headers), timeout=120)
         except TimeoutError:
             logger.error("timeoutException", exc_info=True)
             text = "Timeout error"
 
         text = text.strip()
         try:
-            await send_room_message(self.client, room_id, send_text=text,
-                                    reply_to_event_id=reply_to_event_id)
+            await send_room_message(self.client, room_id, reply_message=text,
+                                    reply_to_event_id=reply_to_event_id, sender_id=sender_id, user_message=raw_user_message)
         except Exception as e:
             logger.error(f"Error: {e}", exc_info=True)
 
     # !bing command
-    async def bing(self, room_id, reply_to_event_id, prompt):
+    async def bing(self, room_id, reply_to_event_id, prompt, sender_id, raw_content_body):
         try:
             # sending typing state
-            await self.client.room_typing(room_id)
+            await self.client.room_typing(room_id, timeout=120000)
             # timeout 120s
             text = await asyncio.wait_for(self.bingbot.ask_bing(prompt), timeout=120)
         except TimeoutError:
@@ -187,8 +454,8 @@ class Bot:
             text = "Timeout error"
         text = text.strip()
         try:
-            await send_room_message(self.client, room_id, send_text=text,
-                                    reply_to_event_id=reply_to_event_id)
+            await send_room_message(self.client, room_id, reply_message=text,
+                                    reply_to_event_id=reply_to_event_id, sender=sender_id, raw_content_body=raw_content_body)
         except Exception as e:
             logger.error(f"Error: {e}", exc_info=True)
 
@@ -216,7 +483,7 @@ class Bot:
                         "!bing [content], chat with context conversation powered by Bing AI\n" + \
                         "!pic [prompt], Image generation by Microsoft Bing"
 
-            await send_room_message(self.client, room_id, send_text=help_info)
+            await send_room_message(self.client, room_id, reply_message=help_info)
         except Exception as e:
             logger.error(f"Error: {e}", exc_info=True)
 
@@ -232,6 +499,24 @@ class Bot:
             logger.error(f"Error: {e}", exc_info=True)
 
     # sync messages in the room
-    async def sync_forever(self, timeout=30000):
-        self.client.add_event_callback(self.message_callback, RoomMessageText)
-        await self.client.sync_forever(timeout=timeout, full_state=True)
+    async def sync_forever(self, timeout=30000, full_state=True):
+        await self.client.sync_forever(timeout=timeout, full_state=full_state)
+
+    # Sync encryption keys with the server
+    async def sync_encryption_key(self):
+        if self.client.should_upload_keys:
+            await self.client.keys_upload()
+
+    # Trust own devices
+    async def trust_own_devices(self):
+        await self.client.sync(timeout=30000, full_state=True)
+        for device_id, olm_device in self.client.device_store[
+            self.user_id].items():
+            logger.debug("My other devices are: "
+                                 f"device_id={device_id}, "
+                                 f"olm_device={olm_device}.")
+            logger.info("Setting up trust for my own "
+                                f"device {device_id} and session key "
+                                f"{olm_device.keys['ed25519']}.")
+            self.client.verify_device(olm_device)
+        

compose.yaml

@@ -6,10 +6,13 @@ services:
     # build:
     #   context: .
     #   dockerfile: ./Dockerfile
+    env_file:
+      - .env
     volumes:
-      - ./config.json:/app/config.json
-      # use touch to create an empty file bot, for persist database only
-      - ./bot:/app/bot
+      # use env file or config.json
+      # - ./config.json:/app/config.json
+      # use touch to create an empty file db, for persist database only
+      - ./db:/app/db
     networks:
       - matrix_network
   # api:

main.py

@@ -1,30 +1,53 @@
 #!/usr/bin/env python3
 import json
+import os
 import asyncio
 from bot import Bot
+from nio import Api, SyncResponse
+from log import getlogger
 
+logger = getlogger()
 
 async def main():
-    fp = open('config.json', 'r')
+    if os.path.exists('config.json'):
+        fp = open('config.json', 'r', encoding="utf8")
         config = json.load(fp)
-    matrix_bot = Bot(homeserver=config['homeserver'],
-                     user_id=config['user_id'],
-                     password=config.get('password', ''), # provide a default value when the key does not exist
-                     device_id=config['device_id'],
-                     room_id=config.get('room_id', ''),
-                     api_key=config.get('api_key', ''),
-                     bing_api_endpoint=config.get('bing_api_endpoint', ''),
-                     access_token=config.get('access_token', ''),
-                     jailbreakEnabled=config.get('jailbreakEnabled', False),
-                     bing_auth_cookie=config.get('bing_auth_cookie', ''),
+    
+    matrix_bot = Bot(homeserver=os.environ.get("HOMESERVER") or config.get('homeserver'),
+                     user_id=os.environ.get("USER_ID") or config.get('user_id') ,
+                     password=os.environ.get("PASSWORD") or config.get('password'),
+                     device_id=os.environ.get("DEVICE_ID") or config.get('device_id'),
+                     room_id=os.environ.get("ROOM_ID") or config.get('room_id'),
+                     api_key=os.environ.get("OPENAI_API_KEY") or config.get('api_key'),
+                     bing_api_endpoint=os.environ.get("BING_API_ENDPOINT") or config.get('bing_api_endpoint'),
+                     access_token=os.environ.get("ACCESS_TOKEN") or config.get('access_token'),
+                     jailbreakEnabled=os.environ.get("JAILBREAKENABLED", "False").lower() in ('true', '1') or config.get('jailbreakEnabled'),
+                     bing_auth_cookie=os.environ.get("BING_AUTH_COOKIE") or config.get('bing_auth_cookie'),
                      )
-    if config.get('access_token', '') == '':
+    # if not set access_token, then login via password
+    # if os.path.exists('config.json'):
+    #     fp = open('config.json', 'r', encoding="utf8")
+    #     config = json.load(fp)
+    #     if os.environ.get("ACCESS_TOKEN") is None and config.get("access_token") is None:
+    #         await matrix_bot.login()
+  
+    # elif os.environ.get("ACCESS_TOKEN") is None:
+    #             await matrix_bot.login()                         
+
     await matrix_bot.login()
-    await matrix_bot.sync_forever()
+
+    # await matrix_bot.sync_encryption_key()
+
+    # await matrix_bot.trust_own_devices()
+
+    try: 
+        await matrix_bot.sync_forever(timeout=3000, full_state=True)
+    finally:
+        await matrix_bot.client.close()
 
 
 if __name__ == "__main__":
-    print("matrix chatgpt bot start.....")
+    logger.debug("matrix chatgpt bot start.....")
     try:
         loop = asyncio.get_running_loop()
     except RuntimeError:

requirements.txt

@@ -1,41 +1,46 @@
-aiofiles==0.6.0
+aiofiles==23.1.0
 aiohttp==3.8.4
 aiohttp-socks==0.7.1
 aiosignal==1.3.1
+anyio==3.6.2
 async-timeout==4.0.2
 atomicwrites==1.4.1
 attrs==22.2.0
 blobfile==2.0.1
-cachetools==4.2.4
+cachetools==5.3.0
 certifi==2022.12.7
 cffi==1.15.1
-charset-normalizer==3.0.1
-filelock==3.9.0
+charset-normalizer==3.1.0
+filelock==3.10.7
 frozenlist==1.3.3
 future==0.18.3
-h11==0.12.0
+h11==0.14.0
 h2==4.1.0
 hpack==4.0.0
+httpcore==0.16.3
+httpx==0.23.3
 hyperframe==6.0.1
 idna==3.4
 jsonschema==4.17.3
 Logbook==1.5.3
 lxml==4.9.2
-matrix-nio==0.20.1
+matrix-nio[e2e]
 multidict==6.0.4
 peewee==3.16.0
-Pillow==9.4.0
+Pillow==9.5.0
 pycparser==2.21
 pycryptodome==3.17
 pycryptodomex==3.17
 pyrsistent==0.19.3
 python-magic==0.4.27
-python-olm==3.1.3
-python-socks==2.1.1
-regex==2022.10.31
+python-socks==2.2.0
+regex==2023.3.23
 requests==2.28.2
-tiktoken==0.3.0
+rfc3986==1.5.0
+sniffio==1.3.0
 unpaddedbase64==2.1.0
-urllib3==1.26.14
+urllib3==1.26.15
 wcwidth==0.2.6
 yarl==1.8.2
+python-olm >= '3.1.0'
+tiktoken==0.3.3

send_message.py

@@ -1,14 +1,21 @@
 from nio import AsyncClient
 
-
 async def send_room_message(client: AsyncClient,
                             room_id: str,
-                            send_text: str,
+                            reply_message: str,
+                            sender_id: str = '',
+                            user_message: str = '',
                             reply_to_event_id: str = '') -> None:
     if reply_to_event_id == '':
-        content = {"msgtype": "m.text", "body": f"{send_text}", }
+        content = {"msgtype": "m.text", "body": reply_message, }
     else:
-        content={"msgtype": "m.text", "body": f"{send_text}",
+        body = r'> <' + sender_id + r'> ' + user_message + r'\n\n' + reply_message
+        format = r'org.matrix.custom.html'
+        formatted_body = r'<mx-reply><blockquote><a href=\"https://matrix.to/#/' + room_id + r'/' + reply_to_event_id
+        + r'\">In reply to</a> <a href=\"https://matrix.to/#/' + sender_id + r'\">' + sender_id  
+        + r'</a><br>' + user_message + r'</blockquote></mx-reply>' + reply_message
+
+        content={"msgtype": "m.text", "body": body, "format": format, "formatted_body": formatted_body,
                  "m.relates_to": {"m.in_reply_to": {"event_id": reply_to_event_id}}, }
     await client.room_send(
         room_id,

test.py

@@ -1,58 +0,0 @@
-from v3 import Chatbot
-import asyncio
-from ask_gpt import ask
-import json
-from bing import BingBot
-
-fp = open("config.json", "r")
-config = json.load(fp)
-api_key = config.get('api_key', '')
-bing_api_endpoint = config.get('bing_api_endpoint', '')
-api_endpoint_list = {
-    "free": "https://chatgpt-api.shn.hk/v1/",
-    "paid": "https://api.openai.com/v1/chat/completions"
-}
-
-
-def test_v3(prompt: str):
-    bot = Chatbot(api_key=api_key)
-    resp = bot.ask(prompt=prompt)
-    print(resp)
-
-
-async def test_ask_gpt_paid(prompt: str):
-    headers = {
-        "Content-Type": "application/json",
-        "Authorization": "Bearer " + api_key,
-    }
-    api_endpoint = api_endpoint_list['paid']
-    # test ask_gpt.py ask()
-    print(await ask(prompt, api_endpoint, headers))
-
-
-async def test_ask_gpt_free(prompt: str):
-    headers = {
-        "Content-Type": "application/json",
-    }
-    api_endpoint = api_endpoint_list['free']
-    print(await ask(prompt, api_endpoint, headers))
-
-
-async def test_bingbot():
-    if bing_api_endpoint != '':
-        bingbot = BingBot(bing_api_endpoint)
-        prompt1 = "Hello World"
-        prompt2 = "Do you know Victor Marie Hugo"
-        prompt3 = "Can you tell me something about him?"
-        resp1 = await bingbot.ask_bing(prompt1)
-        resp2 = await bingbot.ask_bing(prompt2)
-        resp3 = await bingbot.ask_bing(prompt3)
-        print(resp1)
-        print(resp2)
-        print(resp3)
-
-if __name__ == "__main__":
-    test_v3("Hello World")
-    asyncio.run(test_ask_gpt_paid("Hello World"))
-    asyncio.run(test_ask_gpt_free("Hello World"))
-    asyncio.run(test_bingbot())

v3.py

@@ -1,20 +1,12 @@
-"""
-A simple wrapper for the official ChatGPT API
-https://github.com/acheong08/ChatGPT/blob/main/src/revChatGPT/V3.py
-"""
-
 import json
 import os
+from typing import AsyncGenerator
 
-
+import httpx
 import requests
 import tiktoken
 
 
-ENGINE = os.environ.get("GPT_ENGINE") or "gpt-3.5-turbo"
-ENCODER = tiktoken.get_encoding("gpt2")
-
-
 class Chatbot:
     """
     Official ChatGPT API
@@ -22,29 +14,63 @@ class Chatbot:
 
     def __init__(
         self,
-        api_key: str = None,
-        engine: str = None,
+        api_key: str,
+        engine: str = os.environ.get("GPT_ENGINE") or "gpt-3.5-turbo",
         proxy: str = None,
-        max_tokens: int = 4096,
+        timeout: float = None,
+        max_tokens: int = None,
         temperature: float = 0.5,
         top_p: float = 1.0,
+        presence_penalty: float = 0.0,
+        frequency_penalty: float = 0.0,
         reply_count: int = 1,
         system_prompt: str = "You are ChatGPT, a large language model trained by OpenAI. Respond conversationally",
     ) -> None:
         """
         Initialize Chatbot with API key (from https://platform.openai.com/account/api-keys)
         """
-        self.engine = engine or ENGINE
+        self.engine: str = engine
+        self.api_key: str = api_key
+        self.system_prompt: str = system_prompt
+        self.max_tokens: int = max_tokens or (
+            31000 if engine == "gpt-4-32k" else 7000 if engine == "gpt-4" else 4000
+        )
+        self.truncate_limit: int = (
+            30500 if engine == "gpt-4-32k" else 6500 if engine == "gpt-4" else 3500
+        )
+        self.temperature: float = temperature
+        self.top_p: float = top_p
+        self.presence_penalty: float = presence_penalty
+        self.frequency_penalty: float = frequency_penalty
+        self.reply_count: int = reply_count
+        self.timeout: float = timeout
+        self.proxy = proxy
         self.session = requests.Session()
-        self.api_key = api_key
-        # self.proxy = proxy
-        # if self.proxy:
-        #     proxies = {
-        #         "http": self.proxy,
-        #         "https": self.proxy,
-        #     }
-        #     self.session.proxies = proxies
-        self.conversation: dict = {
+        self.session.proxies.update(
+            {
+                "http": proxy,
+                "https": proxy,
+            },
+        )
+        proxy = (
+            proxy or os.environ.get("all_proxy") or os.environ.get("ALL_PROXY") or None
+        )
+
+        if proxy:
+            if "socks5h" not in proxy:
+                self.aclient = httpx.AsyncClient(
+                    follow_redirects=True,
+                    proxies=proxy,
+                    timeout=timeout,
+                )
+        else:
+            self.aclient = httpx.AsyncClient(
+                follow_redirects=True,
+                proxies=proxy,
+                timeout=timeout,
+            )
+
+        self.conversation: dict[str, list[dict]] = {
             "default": [
                 {
                     "role": "system",
@@ -52,20 +78,13 @@ class Chatbot:
                 },
             ],
         }
-        self.system_prompt = system_prompt
-        self.max_tokens = max_tokens
-        self.temperature = temperature
-        self.top_p = top_p
-        self.reply_count = reply_count
 
-        initial_conversation = "\n".join(
-            [x["content"] for x in self.conversation["default"]],
-        )
-        if len(ENCODER.encode(initial_conversation)) > self.max_tokens:
-            raise Exception("System prompt is too long")
 
     def add_to_conversation(
-        self, message: str, role: str, convo_id: str = "default"
+        self,
+        message: str,
+        role: str,
+        convo_id: str = "default",
     ) -> None:
         """
         Add a message to the conversation
@@ -77,12 +96,8 @@ class Chatbot:
         Truncate the conversation
         """
         while True:
-            full_conversation = "".join(
-                message["role"] + ": " + message["content"] + "\n"
-                for message in self.conversation[convo_id]
-            )
             if (
-                len(ENCODER.encode(full_conversation)) > self.max_tokens
+                self.get_token_count(convo_id) > self.truncate_limit
                 and len(self.conversation[convo_id]) > 1
             ):
                 # Don't remove the first message
@@ -90,15 +105,41 @@ class Chatbot:
             else:
                 break
 
+
+    def get_token_count(self, convo_id: str = "default") -> int:
+        """
+        Get token count
+        """
+        if self.engine not in [
+            "gpt-3.5-turbo",
+            "gpt-3.5-turbo-0301",
+            "gpt-4",
+            "gpt-4-0314",
+            "gpt-4-32k",
+            "gpt-4-32k-0314",
+        ]:
+            raise NotImplementedError("Unsupported engine {self.engine}")
+
+        tiktoken.model.MODEL_TO_ENCODING["gpt-4"] = "cl100k_base"
+
+        encoding = tiktoken.encoding_for_model(self.engine)
+
+        num_tokens = 0
+        for message in self.conversation[convo_id]:
+            # every message follows <im_start>{role/name}\n{content}<im_end>\n
+            num_tokens += 5
+            for key, value in message.items():
+                num_tokens += len(encoding.encode(value))
+                if key == "name":  # if there's a name, the role is omitted
+                    num_tokens += 5  # role is always required and always 1 token
+        num_tokens += 5  # every reply is primed with <im_start>assistant
+        return num_tokens
+
     def get_max_tokens(self, convo_id: str) -> int:
         """
         Get max tokens
         """
-        full_conversation = "".join(
-            message["role"] + ": " + message["content"] + "\n"
-            for message in self.conversation[convo_id]
-        )
-        return 4000 - len(ENCODER.encode(full_conversation))
+        return self.max_tokens - self.get_token_count(convo_id)
 
     def ask_stream(
         self,
@@ -106,7 +147,7 @@ class Chatbot:
         role: str = "user",
         convo_id: str = "default",
         **kwargs,
-    ) -> str:
+    ):
         """
         Ask a question
         """
@@ -117,7 +158,7 @@ class Chatbot:
         self.__truncate_conversation(convo_id=convo_id)
         # Get response
         response = self.session.post(
-            "https://api.openai.com/v1/chat/completions",
+            os.environ.get("API_URL") or "https://api.openai.com/v1/chat/completions",
             headers={"Authorization": f"Bearer {kwargs.get('api_key', self.api_key)}"},
             json={
                 "model": self.engine,
@@ -126,16 +167,22 @@ class Chatbot:
                 # kwargs
                 "temperature": kwargs.get("temperature", self.temperature),
                 "top_p": kwargs.get("top_p", self.top_p),
+                "presence_penalty": kwargs.get(
+                    "presence_penalty",
+                    self.presence_penalty,
+                ),
+                "frequency_penalty": kwargs.get(
+                    "frequency_penalty",
+                    self.frequency_penalty,
+                ),
                 "n": kwargs.get("n", self.reply_count),
                 "user": role,
-                # "max_tokens": self.get_max_tokens(convo_id=convo_id),
+                "max_tokens": self.get_max_tokens(convo_id=convo_id),
             },
+            timeout=kwargs.get("timeout", self.timeout),
             stream=True,
         )
-        if response.status_code != 200:
-            raise Exception(
-                f"Error: {response.status_code} {response.reason} {response.text}",
-            )
+ 
         response_role: str = None
         full_response: str = ""
         for line in response.iter_lines():
@@ -160,8 +207,100 @@ class Chatbot:
                 yield content
         self.add_to_conversation(full_response, response_role, convo_id=convo_id)
 
+    async def ask_stream_async(
+        self,
+        prompt: str,
+        role: str = "user",
+        convo_id: str = "default",
+        **kwargs,
+    ) -> AsyncGenerator[str, None]:
+        """
+        Ask a question
+        """
+        # Make conversation if it doesn't exist
+        if convo_id not in self.conversation:
+            self.reset(convo_id=convo_id, system_prompt=self.system_prompt)
+        self.add_to_conversation(prompt, "user", convo_id=convo_id)
+        self.__truncate_conversation(convo_id=convo_id)
+        # Get response
+        async with self.aclient.stream(
+            "post",
+            os.environ.get("API_URL") or "https://api.openai.com/v1/chat/completions",
+            headers={"Authorization": f"Bearer {kwargs.get('api_key', self.api_key)}"},
+            json={
+                "model": self.engine,
+                "messages": self.conversation[convo_id],
+                "stream": True,
+                # kwargs
+                "temperature": kwargs.get("temperature", self.temperature),
+                "top_p": kwargs.get("top_p", self.top_p),
+                "presence_penalty": kwargs.get(
+                    "presence_penalty",
+                    self.presence_penalty,
+                ),
+                "frequency_penalty": kwargs.get(
+                    "frequency_penalty",
+                    self.frequency_penalty,
+                ),
+                "n": kwargs.get("n", self.reply_count),
+                "user": role,
+                "max_tokens": self.get_max_tokens(convo_id=convo_id),
+            },
+            timeout=kwargs.get("timeout", self.timeout),
+        ) as response:
+            if response.status_code != 200:
+                await response.aread()
+
+            response_role: str = ""
+            full_response: str = ""
+            async for line in response.aiter_lines():
+                line = line.strip()
+                if not line:
+                    continue
+                # Remove "data: "
+                line = line[6:]
+                if line == "[DONE]":
+                    break
+                resp: dict = json.loads(line)
+                choices = resp.get("choices")
+                if not choices:
+                    continue
+                delta: dict[str, str] = choices[0].get("delta")
+                if not delta:
+                    continue
+                if "role" in delta:
+                    response_role = delta["role"]
+                if "content" in delta:
+                    content: str = delta["content"]
+                    full_response += content
+                    yield content
+        self.add_to_conversation(full_response, response_role, convo_id=convo_id)
+
+    async def ask_async(
+        self,
+        prompt: str,
+        role: str = "user",
+        convo_id: str = "default",
+        **kwargs,
+    ) -> str:
+        """
+        Non-streaming ask
+        """
+        response = self.ask_stream_async(
+            prompt=prompt,
+            role=role,
+            convo_id=convo_id,
+            **kwargs,
+        )
+        full_response: str = "".join([r async for r in response])
+        return full_response
+
     def ask(
-        self, prompt: str, role: str = "user", convo_id: str = "default", **kwargs
+        self,
+        prompt: str,
+        role: str = "user",
+        convo_id: str = "default",
+        **kwargs,
     ) -> str:
         """
         Non-streaming ask
@@ -175,12 +314,6 @@ class Chatbot:
         full_response: str = "".join(response)
         return full_response
 
-    def rollback(self, n: int = 1, convo_id: str = "default") -> None:
-        """
-        Rollback the conversation
-        """
-        for _ in range(n):
-            self.conversation[convo_id].pop()
 
     def reset(self, convo_id: str = "default", system_prompt: str = None) -> None:
         """
@@ -189,4 +322,3 @@ class Chatbot:
         self.conversation[convo_id] = [
             {"role": "system", "content": system_prompt or self.system_prompt},
         ]
-