File size: 12,265 Bytes
595e5cc
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
c43e22b
595e5cc
 
 
 
 
 
 
 
 
 
 
 
 
 
c43e22b
595e5cc
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
d795dc1
595e5cc
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
c43e22b
 
595e5cc
 
 
 
 
 
 
 
 
 
 
 
 
 
c43e22b
595e5cc
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
from .bridge_newbing import preprocess_newbing_out, preprocess_newbing_out_simple
from multiprocessing import Process, Pipe
from toolbox import update_ui, get_conf, trimmed_format_exc
import threading
import importlib
import logging
import time
from toolbox import get_conf
from slack_sdk.errors import SlackApiError
from slack_sdk.web.async_client import AsyncWebClient
import asyncio


"""
========================================================================
第一部分:Slack API Client
https://github.com/yokonsan/claude-in-slack-api
========================================================================
"""
load_message = "正在加载Claude组件,请稍候..."


class SlackClient(AsyncWebClient):
    """SlackClient类用于与Slack API进行交互,实现消息发送、接收等功能。

        属性:
        - CHANNEL_ID:str类型,表示频道ID。

        方法:
        - open_channel():异步方法。通过调用conversations_open方法打开一个频道,并将返回的频道ID保存在属性CHANNEL_ID中。
        - chat(text: str):异步方法。向已打开的频道发送一条文本消息。
        - get_slack_messages():异步方法。获取已打开频道的最新消息并返回消息列表,目前不支持历史消息查询。
        - get_reply():异步方法。循环监听已打开频道的消息,如果收到"Typing…_"结尾的消息说明Claude还在继续输出,否则结束循环。

    """
    CHANNEL_ID = None

    async def open_channel(self):
        response = await self.conversations_open(users=get_conf('SLACK_CLAUDE_BOT_ID')[0])
        self.CHANNEL_ID = response["channel"]["id"]

    async def chat(self, text):
        if not self.CHANNEL_ID:
            raise Exception("Channel not found.")

        resp = await self.chat_postMessage(channel=self.CHANNEL_ID, text=text)
        self.LAST_TS = resp["ts"]

    async def get_slack_messages(self):
        try:
            # TODO:暂时不支持历史消息,因为在同一个频道里存在多人使用时历史消息渗透问题
            resp = await self.conversations_history(channel=self.CHANNEL_ID, oldest=self.LAST_TS, limit=1)
            msg = [msg for msg in resp["messages"]
                if msg.get("user") == get_conf('SLACK_CLAUDE_BOT_ID')[0]]
            return msg
        except (SlackApiError, KeyError) as e:
            raise RuntimeError(f"获取Slack消息失败。")
    
    async def get_reply(self):
        while True:
            slack_msgs = await self.get_slack_messages()
            if len(slack_msgs) == 0:
                await asyncio.sleep(0.5)
                continue
            
            msg = slack_msgs[-1]
            if msg["text"].endswith("Typing…_"):
                yield False, msg["text"]
            else:
                yield True, msg["text"]
                break


"""
========================================================================
第二部分:子进程Worker(调用主体)
========================================================================
"""


class ClaudeHandle(Process):
    def __init__(self):
        super().__init__(daemon=True)
        self.parent, self.child = Pipe()
        self.claude_model = None
        self.info = ""
        self.success = True
        self.local_history = []
        self.check_dependency()
        self.start()
        self.threadLock = threading.Lock()

    def check_dependency(self):
        try:
            self.success = False
            import slack_sdk
            self.info = "依赖检测通过,等待Claude响应。注意目前不能多人同时调用Claude接口(有线程锁),否则将导致每个人的Claude问询历史互相渗透。调用Claude时,会自动使用已配置的代理。"
            self.success = True
        except:
            self.info = "缺少的依赖,如果要使用Claude,除了基础的pip依赖以外,您还需要运行`pip install -r request_llm/requirements_claude.txt`安装Claude的依赖。"
            self.success = False

    def ready(self):
        return self.claude_model is not None    
    
    async def async_run(self):
        await self.claude_model.open_channel()
        while True:
            # 等待
            kwargs = self.child.recv()
            question = kwargs['query']
            history = kwargs['history']
            # system_prompt=kwargs['system_prompt']

            # 是否重置
            if len(self.local_history) > 0 and len(history) == 0:
                # await self.claude_model.reset()
                self.local_history = []

            # 开始问问题
            prompt = ""
            # Slack API最好不要添加系统提示
            # if system_prompt not in self.local_history:
            #     self.local_history.append(system_prompt)
            #     prompt += system_prompt + '\n'

            # 追加历史
            for ab in history:
                a, b = ab
                if a not in self.local_history:
                    self.local_history.append(a)
                    prompt += a + '\n'
                # if b not in self.local_history:
                #     self.local_history.append(b)
                #     prompt += b + '\n'

            # 问题
            prompt += question
            self.local_history.append(question)
            print('question:', prompt)
            # 提交
            await self.claude_model.chat(prompt)
            # 获取回复
            # async for final, response in self.claude_model.get_reply():
            #     await self.handle_claude_response(final, response)
            async for final, response in self.claude_model.get_reply():                
                if not final:
                    print(response)
                    self.child.send(str(response))
                else:
                    # 防止丢失最后一条消息
                    slack_msgs = await self.claude_model.get_slack_messages()
                    last_msg = slack_msgs[-1]["text"] if slack_msgs and len(slack_msgs) > 0 else ""
                    if last_msg:
                        self.child.send(last_msg)
                    print('-------- receive final ---------')
                    self.child.send('[Finish]')
                    
    def run(self):
        """
        这个函数运行在子进程
        """
        # 第一次运行,加载参数
        self.success = False
        self.local_history = []
        if (self.claude_model is None) or (not self.success):
            # 代理设置
            proxies, = get_conf('proxies')
            if proxies is None:
                self.proxies_https = None
            else:
                self.proxies_https = proxies['https']

            try:
                SLACK_CLAUDE_USER_TOKEN, = get_conf('SLACK_CLAUDE_USER_TOKEN')
                self.claude_model = SlackClient(token=SLACK_CLAUDE_USER_TOKEN, proxy=self.proxies_https)
                print('Claude组件初始化成功。')
            except:
                self.success = False
                tb_str = '\n```\n' + trimmed_format_exc() + '\n```\n'
                self.child.send(f'[Local Message] 不能加载Claude组件。{tb_str}')
                self.child.send('[Fail]')
                self.child.send('[Finish]')
                raise RuntimeError(f"不能加载Claude组件。")

        self.success = True
        try:
            # 进入任务等待状态
            asyncio.run(self.async_run())
        except Exception:
            tb_str = '\n```\n' + trimmed_format_exc() + '\n```\n'
            self.child.send(f'[Local Message] Claude失败 {tb_str}.')
            self.child.send('[Fail]')
            self.child.send('[Finish]')

    def stream_chat(self, **kwargs):
        """
        这个函数运行在主进程
        """
        self.threadLock.acquire()
        self.parent.send(kwargs)    # 发送请求到子进程
        while True:
            res = self.parent.recv()    # 等待Claude回复的片段
            if res == '[Finish]':
                break       # 结束
            elif res == '[Fail]':
                self.success = False
                break
            else:
                yield res   # Claude回复的片段
        self.threadLock.release()


"""
========================================================================
第三部分:主进程统一调用函数接口
========================================================================
"""
global claude_handle
claude_handle = None


def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_slience=False):
    """
        多线程方法
        函数的说明请见 request_llm/bridge_all.py
    """
    global claude_handle
    if (claude_handle is None) or (not claude_handle.success):
        claude_handle = ClaudeHandle()
        observe_window[0] = load_message + "\n\n" + claude_handle.info
        if not claude_handle.success:
            error = claude_handle.info
            claude_handle = None
            raise RuntimeError(error)

    # 没有 sys_prompt 接口,因此把prompt加入 history
    history_feedin = []
    for i in range(len(history)//2):
        history_feedin.append([history[2*i], history[2*i+1]])

    watch_dog_patience = 5  # 看门狗 (watchdog) 的耐心, 设置5秒即可
    response = ""
    observe_window[0] = "[Local Message]: 等待Claude响应中 ..."
    for response in claude_handle.stream_chat(query=inputs, history=history_feedin, system_prompt=sys_prompt, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
        observe_window[0] = preprocess_newbing_out_simple(response)
        if len(observe_window) >= 2:
            if (time.time()-observe_window[1]) > watch_dog_patience:
                raise RuntimeError("程序终止。")
    return preprocess_newbing_out_simple(response)


def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_prompt='', stream=True, additional_fn=None):
    """
        单线程方法
        函数的说明请见 request_llm/bridge_all.py
    """
    chatbot.append((inputs, "[Local Message]: 等待Claude响应中 ..."))

    global claude_handle
    if (claude_handle is None) or (not claude_handle.success):
        claude_handle = ClaudeHandle()
        chatbot[-1] = (inputs, load_message + "\n\n" + claude_handle.info)
        yield from update_ui(chatbot=chatbot, history=[])
        if not claude_handle.success:
            claude_handle = None
            return

    if additional_fn is not None:
        import core_functional
        importlib.reload(core_functional)    # 热更新prompt
        core_functional = core_functional.get_core_functions()
        if "PreProcess" in core_functional[additional_fn]:
            inputs = core_functional[additional_fn]["PreProcess"](
                inputs)  # 获取预处理函数(如果有的话)
        inputs = core_functional[additional_fn]["Prefix"] + \
            inputs + core_functional[additional_fn]["Suffix"]

    history_feedin = []
    for i in range(len(history)//2):
        history_feedin.append([history[2*i], history[2*i+1]])

    chatbot[-1] = (inputs, "[Local Message]: 等待Claude响应中 ...")
    response = "[Local Message]: 等待Claude响应中 ..."
    yield from update_ui(chatbot=chatbot, history=history, msg="Claude响应缓慢,尚未完成全部响应,请耐心完成后再提交新问题。")
    for response in claude_handle.stream_chat(query=inputs, history=history_feedin, system_prompt=system_prompt):
        chatbot[-1] = (inputs, preprocess_newbing_out(response))
        yield from update_ui(chatbot=chatbot, history=history, msg="Claude响应缓慢,尚未完成全部响应,请耐心完成后再提交新问题。")
    if response == "[Local Message]: 等待Claude响应中 ...":
        response = "[Local Message]: Claude响应异常,请刷新界面重试 ..."
    history.extend([inputs, response])
    logging.info(f'[raw_input] {inputs}')
    logging.info(f'[response] {response}')
    yield from update_ui(chatbot=chatbot, history=history, msg="完成全部响应,请提交新问题。")