feat: 优化 Chat 的载入及为其创建一个简易 server

.env

@@ -96,9 +96,18 @@ COMMAND_START=["","/"]
 #请参考 https://zhuanlan.zhihu.com/p/618011122 配置 strategy
 #CHAT_STRATEGY=cuda fp16
 
+# 是否使用本地 api
+#chat_use_local_server = False
 
+#chat api超时时间，机子差可以设长一点
+#chat_server_timeout = 15
+
+#chat api重试次数
+#chat_server_retry = 3
 
 # tts 功能相关配置
 
 # 声码器，可选值：pwgan_aishell3、wavernn_csmsc
 #TTS_VOCODER=pwgan_aishell3
+
+

docs/AIDeployment.md

@@ -65,9 +65,17 @@ AI 功能均对设备硬件要求较高，且配置操作更加复杂一些。
     python -m pip install tokenizers rwkv
     ```
 
-3. `src/plugins/chat/prompt.py` 里的起手咒语 `INIT_PROMPT` 有兴趣可以试着改改
+3. （可选）在 `.env` 里配置是否启用 chat server，由独立进程加载聊天模型。默认不启用，由 Pallas-Bot 直接加载聊天模型
+
+    ```bash
+    python src/pluings/chat/server.py
+    ```
+
+    `src/plugins/chat/server.py`中的端口可以自行修改，默认为 5000，保证与 `src/plugins/chat/__init__.py` 中一致即可。也可以自行部署 gunicorn 等生产服务器。
+
+4. `src/plugins/chat/prompt.py` 里的起手咒语 `INIT_PROMPT` 有兴趣可以试着改改
 
-4. `src/plugins/chat/model.py` 里的 `STRATEGY` 可以按上游仓库的 [说明](https://github.com/BlinkDL/ChatRWKV/tree/main#%E4%B8%AD%E6%96%87%E6%A8%A1%E5%9E%8B) 改改，能省点显存啥的
+5. `src/plugins/chat/model.py` 里的 `STRATEGY` 可以按上游仓库的 [说明](https://github.com/BlinkDL/ChatRWKV/tree/main#%E4%B8%AD%E6%96%87%E6%A8%A1%E5%9E%8B) 改改，能省点显存啥的
 
 ## 酒后语音说话（TTS）
 

requirements.txt

@@ -14,3 +14,6 @@ pydantic~=1.10.0
 pymongo~=4.3.3
 jieba~=0.42.1
 pypinyin~=0.49.0
+
+# chat
+httpx~=0.27.0

src/common/config/__init__.py

@@ -75,6 +75,12 @@ class PluginConfig(BaseModel, extra=Extra.ignore):
     tts_vocoder: str = 'pwgan_aishell3'
     # chat 模型的strategy
     chat_strategy: str = ''
+    # chat 是否使用本地api
+    chat_use_local_server: bool = False
+    # chat api超时时间
+    chat_server_timeout: int = 15
+    # chat api重试次数
+    chat_server_retry: int = 3
 
 
 try:

src/plugins/chat/__init__.py

@@ -1,9 +1,11 @@
+import asyncio
 from asyncer import asyncify
 from nonebot.adapters.onebot.v11 import MessageSegment, permission, GroupMessageEvent
 from nonebot.adapters import Bot, Event
 from nonebot.rule import Rule
 from nonebot.typing import T_State
 from nonebot import on_message, logger
+import httpx
 
 from src.common.config import BotConfig, GroupConfig, plugin_config
 
@@ -21,34 +23,70 @@
     raise error
 
 TTS_MIN_LENGTH = 10
+CHAT_API_URL = 'http://127.0.0.1:5000/chat'
+USE_API = plugin_config.chat_use_local_server
+TIMEOUT = plugin_config.chat_server_timeout 
+MAX_RETRIES = plugin_config.chat_server_retry  
+RETRY_BACKOFF_FACTOR = 1  # 重试间隔
+
+# 用来重试的
+client = httpx.AsyncClient(
+    timeout=httpx.Timeout(timeout=TIMEOUT),
+    transport=httpx.AsyncHTTPTransport(retries=MAX_RETRIES)
+)
 
-try:
-    chat = Chat(plugin_config.chat_strategy)
-except Exception as error:
-    logger.error('Chat model init error: ', error)
-    raise error
-
+if USE_API:
+    try:
+        chat = None
+    except Exception as error:
+        logger.error('Chat api init error: ', error)
+        raise error
+else:
+    try:
+        chat = Chat(plugin_config.chat_strategy)
+    except Exception as error:
+        logger.error('Chat model init error: ', error)
+        raise error
 
 @BotConfig.handle_sober_up
 def on_sober_up(bot_id, group_id, drunkenness) -> None:
     session = f'{bot_id}_{group_id}'
-    logger.info(
-        f'bot [{bot_id}] sober up in group [{group_id}], clear session [{session}]')
-    chat.del_session(session)
-
+    logger.info(f'bot [{bot_id}] sober up in group [{group_id}], clear session [{session}]')
+    if USE_API:
+        try:
+            response = client.delete(f'{CHAT_API_URL}/del_session', params={'session': session})
+            response.raise_for_status()
+        except httpx.HTTPError as error:
+            logger.error(f'Failed to delete session [{session}]: {error}')
+    else:
+        if chat is not None:
+            chat.del_session(session)
 
 def is_drunk(bot: Bot, event: Event, state: T_State) -> int:
     config = BotConfig(event.self_id, event.group_id)
     return config.drunkenness()
 
-
 drunk_msg = on_message(
     rule=Rule(is_drunk),
     priority=13,
     block=True,
     permission=permission.GROUP,
 )
 
+async def make_api_request(url, method, json_data=None, params=None):
+    for a in range(MAX_RETRIES + 1):
+        try:
+            if method == 'POST':
+                response = await client.post(url, json=json_data)
+            elif method == 'DELETE':
+                response = await client.delete(url, params=params)
+            response.raise_for_status()
+            return response
+        except httpx.HTTPError as error:
+            logger.error(f'Request failed (attempt {a + 1}): {error}')
+            if a < MAX_RETRIES:
+                await asyncio.sleep(RETRY_BACKOFF_FACTOR * (2 ** a))
+    return None
 
 @drunk_msg.handle()
 async def _(bot: Bot, event: GroupMessageEvent, state: T_State):
@@ -71,7 +109,16 @@ async def _(bot: Bot, event: GroupMessageEvent, state: T_State):
         text = text[:50]
     if not text:
         return
-    ans = await asyncify(chat.chat)(session, text)
+
+    if USE_API:
+        response = await make_api_request(CHAT_API_URL, 'POST', json_data={'session': session, 'text': text, 'token_count': 50})
+        if response:
+            ans = response.json().get('response', '')
+        else:
+            return
+    else:
+        ans = await asyncify(chat.chat)(session, text)
+
     logger.info(f'session [{session}]: {text} -> {ans}')
 
     if TTS_AVAIABLE and len(ans) >= TTS_MIN_LENGTH:
@@ -80,4 +127,4 @@ async def _(bot: Bot, event: GroupMessageEvent, state: T_State):
         await drunk_msg.send(voice)
 
     config.reset_cooldown(cd_key)
-    await drunk_msg.finish(ans)
+    await drunk_msg.finish(ans)

src/plugins/chat/model.py

@@ -2,8 +2,11 @@
 from threading import Lock
 from copy import deepcopy
 from collections import defaultdict
+from concurrent.futures import ThreadPoolExecutor
 import os
+import time
 import torch
+import threading
 
 cuda = torch.cuda.is_available()
 os.environ['RWKV_JIT_ON'] = '1'
@@ -34,6 +37,17 @@ def __init__(self, strategy=DEFAULT_STRATEGY, model_dir=DEFAULT_MODEL_DIR) -> No
             raise Exception(f'Chat model not found in {self.MODEL_DIR}')
         if not self.TOKEN_PATH.exists():
             raise Exception(f'Chat token not found in {self.TOKEN_PATH}')
+
+        self.pipeline = None
+        self.args = None
+        self.all_state = defaultdict(lambda: None)
+        self.all_occurrence = {}
+        self.chat_locker = Lock()
+        self.executor = ThreadPoolExecutor(max_workers=10)
+
+        threading.Thread(target=self._load_model).start()
+
+    def _load_model(self):
         model = RWKV(model=str(self.MODEL_PATH), strategy=self.STRATEGY)
         self.pipeline = PIPELINE(model, str(self.TOKEN_PATH))
         self.args = PIPELINE_ARGS(
@@ -49,11 +63,14 @@ def __init__(self, strategy=DEFAULT_STRATEGY, model_dir=DEFAULT_MODEL_DIR) -> No
         INIT_STATE = deepcopy(self.pipeline.generate(
             INIT_PROMPT, token_count=200, args=self.args)[1])
         self.all_state = defaultdict(lambda: deepcopy(INIT_STATE))
-        self.all_occurrence = {}
-
-        self.chat_locker = Lock()
 
     def chat(self, session: str, text: str, token_count: int = 50) -> str:
+        while self.pipeline is None:
+            time.sleep(0.1)  
+        future = self.executor.submit(self._chat, session, text, token_count)
+        return future.result()
+
+    def _chat(self, session: str, text: str, token_count: int = 50) -> str:
         with self.chat_locker:
             state = self.all_state[session]
             ctx = CHAT_FORMAT.format(text)

src/plugins/chat/server.py

@@ -0,0 +1,102 @@
+from flask import Flask, request, jsonify
+from pathlib import Path
+from threading import Lock
+from copy import deepcopy
+from collections import defaultdict
+import os
+import torch
+
+
+app = Flask(__name__)
+
+cuda = torch.cuda.is_available()
+os.environ['RWKV_JIT_ON'] = '1'
+# 这个要配个 ninja 啥的环境，能大幅提高推理速度，有需要可以自己弄下（仅支持 cuda 显卡）
+os.environ["RWKV_CUDA_ON"] = '0'
+
+from rwkv.model import RWKV
+import prompt 
+import pipeline 
+
+DEFAULT_STRATEGY = 'cuda fp16' if cuda else 'cpu fp32'
+API_DIR = Path(__file__).resolve().parent.parent.parent.parent
+DEFAULT_MODEL_DIR = API_DIR / 'resource' / 'chat' / 'models'
+print(f"DEFAULT_MODEL_DIR: {DEFAULT_MODEL_DIR}")
+print("Files in directory:")
+for f in DEFAULT_MODEL_DIR.iterdir():
+    print(f)
+class Chat:
+    def __init__(self, strategy=DEFAULT_STRATEGY, model_dir=DEFAULT_MODEL_DIR) -> None:
+        self.STRATEGY = strategy if strategy else DEFAULT_STRATEGY
+        self.MODEL_DIR = model_dir
+        self.MODEL_EXT = '.pth'
+        self.MODEL_PATH = None
+        self.TOKEN_PATH = self.MODEL_DIR / '20B_tokenizer.json'
+        for f in self.MODEL_DIR.glob('*'):
+            if f.suffix != self.MODEL_EXT:
+                continue
+            self.MODEL_PATH = f.with_suffix('')
+            break
+        if not self.MODEL_PATH:
+            raise Exception(f'Chat model not found in {self.MODEL_DIR}')
+        if not self.TOKEN_PATH.exists():
+            raise Exception(f'Chat token not found in {self.TOKEN_PATH}')
+        model = RWKV(model=str(self.MODEL_PATH), strategy=self.STRATEGY)
+        self.pipeline = pipeline.PIPELINE(model, str(self.TOKEN_PATH))
+        self.args = pipeline.PIPELINE_ARGS(
+            temperature=1.0,
+            top_p=0.7,
+            alpha_frequency=0.25,
+            alpha_presence=0.25,
+            token_ban=[0],  # ban the generation of some tokens
+            token_stop=[],  # stop generation whenever you see any token here
+            ends=('\n'),
+            ends_if_too_long=("。", "！", "？", "\n"))
+
+        INIT_STATE = deepcopy(self.pipeline.generate(
+            prompt.INIT_PROMPT, token_count=200, args=self.args)[1])
+        self.all_state = defaultdict(lambda: deepcopy(INIT_STATE))
+        self.all_occurrence = {}
+
+        self.chat_locker = Lock()
+
+    def chat(self, session: str, text: str, token_count: int = 50) -> str:
+        with self.chat_locker:
+            state = self.all_state[session]
+            ctx = prompt.CHAT_FORMAT.format(text)
+            occurrence = self.all_occurrence.get(session, {})
+
+            out, state, occurrence = self.pipeline.generate(
+                ctx, token_count=token_count, args=self.args, state=state, occurrence=occurrence)
+
+            self.all_state[session] = deepcopy(state)
+            self.all_occurrence[session] = occurrence
+            return out.strip()
+
+    def del_session(self, session: str):
+        with self.chat_locker:
+            if session in self.all_state:
+                del self.all_state[session]
+            if session in self.all_occurrence:
+                del self.all_occurrence[session]
+
+chat_instance = Chat('cpu fp32')
+
+@app.route('/chat', methods=['POST'])
+def chat():
+    data = request.json
+    session = data.get('session', 'main')
+    text = data.get('text', '')
+    token_count = data.get('token_count', 50)
+    response = chat_instance.chat(session, text, token_count)
+    return jsonify({'response': response})
+
+@app.route('/del_session', methods=['DELETE'])
+def del_session():
+    data = request.json
+    session = data.get('session', 'main')
+    chat_instance.del_session(session)
+    return jsonify({'status': 'success'})
+
+if __name__ == "__main__":
+    app.run(host='0.0.0.0', port=5000)