File size: 20,408 Bytes
2b96217
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
"""
Main.py
"""

from transformers import AutoModel, AutoTokenizer
import time
import importlib
from toolbox import update_ui, get_conf
from multiprocessing import Process, Pipe
import argparse
import asyncio
import json
import os
import random
import re
import ssl
import sys
import uuid
from enum import Enum
from pathlib import Path
from typing import Generator
from typing import Literal
from typing import Optional
from typing import Union
import certifi
import httpx
import websockets.client as websockets
from prompt_toolkit import PromptSession
from prompt_toolkit.auto_suggest import AutoSuggestFromHistory
from prompt_toolkit.completion import WordCompleter
from prompt_toolkit.history import InMemoryHistory
from prompt_toolkit.key_binding import KeyBindings
from rich.live import Live
from rich.markdown import Markdown

DELIMITER = "\x1e"


# Generate random IP between range 13.104.0.0/14
FORWARDED_IP = (
    f"13.{random.randint(104, 107)}.{random.randint(0, 255)}.{random.randint(0, 255)}"
)

HEADERS = {
    "accept": "application/json",
    "accept-language": "en-US,en;q=0.9",
    "content-type": "application/json",
    "sec-ch-ua": '"Not_A Brand";v="99", "Microsoft Edge";v="110", "Chromium";v="110"',
    "sec-ch-ua-arch": '"x86"',
    "sec-ch-ua-bitness": '"64"',
    "sec-ch-ua-full-version": '"109.0.1518.78"',
    "sec-ch-ua-full-version-list": '"Chromium";v="110.0.5481.192", "Not A(Brand";v="24.0.0.0", "Microsoft Edge";v="110.0.1587.69"',
    "sec-ch-ua-mobile": "?0",
    "sec-ch-ua-model": "",
    "sec-ch-ua-platform": '"Windows"',
    "sec-ch-ua-platform-version": '"15.0.0"',
    "sec-fetch-dest": "empty",
    "sec-fetch-mode": "cors",
    "sec-fetch-site": "same-origin",
    "x-ms-client-request-id": str(uuid.uuid4()),
    "x-ms-useragent": "azsdk-js-api-client-factory/1.0.0-beta.1 core-rest-pipeline/1.10.0 OS/Win32",
    "Referer": "https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx",
    "Referrer-Policy": "origin-when-cross-origin",
    "x-forwarded-for": FORWARDED_IP,
}

HEADERS_INIT_CONVER = {
    "authority": "edgeservices.bing.com",
    "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",
    "accept-language": "en-US,en;q=0.9",
    "cache-control": "max-age=0",
    "sec-ch-ua": '"Chromium";v="110", "Not A(Brand";v="24", "Microsoft Edge";v="110"',
    "sec-ch-ua-arch": '"x86"',
    "sec-ch-ua-bitness": '"64"',
    "sec-ch-ua-full-version": '"110.0.1587.69"',
    "sec-ch-ua-full-version-list": '"Chromium";v="110.0.5481.192", "Not A(Brand";v="24.0.0.0", "Microsoft Edge";v="110.0.1587.69"',
    "sec-ch-ua-mobile": "?0",
    "sec-ch-ua-model": '""',
    "sec-ch-ua-platform": '"Windows"',
    "sec-ch-ua-platform-version": '"15.0.0"',
    "sec-fetch-dest": "document",
    "sec-fetch-mode": "navigate",
    "sec-fetch-site": "none",
    "sec-fetch-user": "?1",
    "upgrade-insecure-requests": "1",
    "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.69",
    "x-edge-shopping-flag": "1",
    "x-forwarded-for": FORWARDED_IP,
}

ssl_context = ssl.create_default_context()
ssl_context.load_verify_locations(certifi.where())


class NotAllowedToAccess(Exception):
    pass


class ConversationStyle(Enum):
    creative = "h3imaginative,clgalileo,gencontentv3"
    balanced = "galileo"
    precise = "h3precise,clgalileo"


CONVERSATION_STYLE_TYPE = Optional[
    Union[ConversationStyle, Literal["creative", "balanced", "precise"]]
]


def _append_identifier(msg: dict) -> str:
    """
    Appends special character to end of message to identify end of message
    """
    # Convert dict to json string
    return json.dumps(msg) + DELIMITER


def _get_ran_hex(length: int = 32) -> str:
    """
    Returns random hex string
    """
    return "".join(random.choice("0123456789abcdef") for _ in range(length))


class _ChatHubRequest:
    """
    Request object for ChatHub
    """

    def __init__(
        self,
        conversation_signature: str,
        client_id: str,
        conversation_id: str,
        invocation_id: int = 0,
    ) -> None:
        self.struct: dict = {}

        self.client_id: str = client_id
        self.conversation_id: str = conversation_id
        self.conversation_signature: str = conversation_signature
        self.invocation_id: int = invocation_id

    def update(
        self,
        prompt: str,
        conversation_style: CONVERSATION_STYLE_TYPE,
        options: list | None = None,
    ) -> None:
        """
        Updates request object
        """
        if options is None:
            options = [
                "deepleo",
                "enable_debug_commands",
                "disable_emoji_spoken_text",
                "enablemm",
            ]
        if conversation_style:
            if not isinstance(conversation_style, ConversationStyle):
                conversation_style = getattr(ConversationStyle, conversation_style)
            options = [
                "nlu_direct_response_filter",
                "deepleo",
                "disable_emoji_spoken_text",
                "responsible_ai_policy_235",
                "enablemm",
                conversation_style.value,
                "dtappid",
                "cricinfo",
                "cricinfov2",
                "dv3sugg",
            ]
        self.struct = {
            "arguments": [
                {
                    "source": "cib",
                    "optionsSets": options,
                    "sliceIds": [
                        "222dtappid",
                        "225cricinfo",
                        "224locals0",
                    ],
                    "traceId": _get_ran_hex(32),
                    "isStartOfSession": self.invocation_id == 0,
                    "message": {
                        "author": "user",
                        "inputMethod": "Keyboard",
                        "text": prompt,
                        "messageType": "Chat",
                    },
                    "conversationSignature": self.conversation_signature,
                    "participant": {
                        "id": self.client_id,
                    },
                    "conversationId": self.conversation_id,
                },
            ],
            "invocationId": str(self.invocation_id),
            "target": "chat",
            "type": 4,
        }
        self.invocation_id += 1


class _Conversation:
    """
    Conversation API
    """

    def __init__(
        self,
        cookies: dict,
        proxy: str | None = None,
    ) -> None:
        self.struct: dict = {
            "conversationId": None,
            "clientId": None,
            "conversationSignature": None,
            "result": {"value": "Success", "message": None},
        }
        self.proxy = proxy
        proxy = (
            proxy
            or os.environ.get("all_proxy")
            or os.environ.get("ALL_PROXY")
            or os.environ.get("https_proxy")
            or os.environ.get("HTTPS_PROXY")
            or None
        )
        if proxy is not None and proxy.startswith("socks5h://"):
            proxy = "socks5://" + proxy[len("socks5h://") :]
        self.session = httpx.Client(
            proxies=proxy,
            timeout=30,
            headers=HEADERS_INIT_CONVER,
        )
        for cookie in cookies:
            self.session.cookies.set(cookie["name"], cookie["value"])

        # Send GET request
        response = self.session.get(
            url=os.environ.get("BING_PROXY_URL")
            or "https://edgeservices.bing.com/edgesvc/turing/conversation/create",
        )
        if response.status_code != 200:
            response = self.session.get(
                "https://edge.churchless.tech/edgesvc/turing/conversation/create",
            )
        if response.status_code != 200:
            print(f"Status code: {response.status_code}")
            print(response.text)
            print(response.url)
            raise Exception("Authentication failed")
        try:
            self.struct = response.json()
        except (json.decoder.JSONDecodeError, NotAllowedToAccess) as exc:
            raise Exception(
                "Authentication failed. You have not been accepted into the beta.",
            ) from exc
        if self.struct["result"]["value"] == "UnauthorizedRequest":
            raise NotAllowedToAccess(self.struct["result"]["message"])


class _ChatHub:
    """
    Chat API
    """

    def __init__(self, conversation: _Conversation) -> None:
        self.wss: websockets.WebSocketClientProtocol | None = None
        self.request: _ChatHubRequest
        self.loop: bool
        self.task: asyncio.Task
        self.request = _ChatHubRequest(
            conversation_signature=conversation.struct["conversationSignature"],
            client_id=conversation.struct["clientId"],
            conversation_id=conversation.struct["conversationId"],
        )

    async def ask_stream(
        self,
        prompt: str,
        wss_link: str,
        conversation_style: CONVERSATION_STYLE_TYPE = None,
        raw: bool = False,
        options: dict = None,
    ) -> Generator[str, None, None]:
        """
        Ask a question to the bot
        """
        if self.wss and not self.wss.closed:
            await self.wss.close()
        # Check if websocket is closed
        self.wss = await websockets.connect(
            wss_link,
            extra_headers=HEADERS,
            max_size=None,
            ssl=ssl_context,
        )
        await self._initial_handshake()
        # Construct a ChatHub request
        self.request.update(
            prompt=prompt,
            conversation_style=conversation_style,
            options=options,
        )
        # Send request
        await self.wss.send(_append_identifier(self.request.struct))
        final = False
        while not final:
            objects = str(await self.wss.recv()).split(DELIMITER)
            for obj in objects:
                if obj is None or not obj:
                    continue
                response = json.loads(obj)
                if response.get("type") != 2 and raw:
                    yield False, response
                elif response.get("type") == 1 and response["arguments"][0].get(
                    "messages",
                ):
                    resp_txt = response["arguments"][0]["messages"][0]["adaptiveCards"][
                        0
                    ]["body"][0].get("text")
                    yield False, resp_txt
                elif response.get("type") == 2:
                    final = True
                    yield True, response

    async def _initial_handshake(self) -> None:
        await self.wss.send(_append_identifier({"protocol": "json", "version": 1}))
        await self.wss.recv()

    async def close(self) -> None:
        """
        Close the connection
        """
        if self.wss and not self.wss.closed:
            await self.wss.close()


class Chatbot:
    """
    Combines everything to make it seamless
    """

    def __init__(
        self,
        cookies: dict = None,
        proxy: str | None = None,
        cookie_path: str = None,
    ) -> None:
        if cookies is None:
            cookies = {}
        if cookie_path is not None:
            try:
                with open(cookie_path, encoding="utf-8") as f:
                    self.cookies = json.load(f)
            except FileNotFoundError as exc:
                raise FileNotFoundError("Cookie file not found") from exc
        else:
            self.cookies = cookies
        self.proxy: str | None = proxy
        self.chat_hub: _ChatHub = _ChatHub(
            _Conversation(self.cookies, self.proxy),
        )

    async def ask(
        self,
        prompt: str,
        wss_link: str = "wss://sydney.bing.com/sydney/ChatHub",
        conversation_style: CONVERSATION_STYLE_TYPE = None,
        options: dict = None,
    ) -> dict:
        """
        Ask a question to the bot
        """
        async for final, response in self.chat_hub.ask_stream(
            prompt=prompt,
            conversation_style=conversation_style,
            wss_link=wss_link,
            options=options,
        ):
            if final:
                return response
        await self.chat_hub.wss.close()
        return None

    async def ask_stream(
        self,
        prompt: str,
        wss_link: str = "wss://sydney.bing.com/sydney/ChatHub",
        conversation_style: CONVERSATION_STYLE_TYPE = None,
        raw: bool = False,
        options: dict = None,
    ) -> Generator[str, None, None]:
        """
        Ask a question to the bot
        """
        async for response in self.chat_hub.ask_stream(
            prompt=prompt,
            conversation_style=conversation_style,
            wss_link=wss_link,
            raw=raw,
            options=options,
        ):
            yield response

    async def close(self) -> None:
        """
        Close the connection
        """
        await self.chat_hub.close()

    async def reset(self) -> None:
        """
        Reset the conversation
        """
        await self.close()
        self.chat_hub = _ChatHub(_Conversation(self.cookies))


async def _get_input_async(
    session: PromptSession = None,
    completer: WordCompleter = None,
) -> str:
    """
    Multiline input function.
    """
    return await session.prompt_async(
        completer=completer,
        multiline=True,
        auto_suggest=AutoSuggestFromHistory(),
    )


def _create_session() -> PromptSession:
    kb = KeyBindings()

    @kb.add("enter")
    def _(event):
        buffer_text = event.current_buffer.text
        if buffer_text.startswith("!"):
            event.current_buffer.validate_and_handle()
        else:
            event.current_buffer.insert_text("\n")

    @kb.add("escape")
    def _(event):
        if event.current_buffer.complete_state:
            # event.current_buffer.cancel_completion()
            event.current_buffer.text = ""

    return PromptSession(key_bindings=kb, history=InMemoryHistory())


def _create_completer(commands: list, pattern_str: str = "$"):
    return WordCompleter(words=commands, pattern=re.compile(pattern_str))


load_message = ""

#################################################################################
#################################################################################
#################################################################################
#################################################################################
#################################################################################
#################################################################################
class GetNewBingHandle(Process):
    def __init__(self):
        super().__init__(daemon=True)
        self.parent, self.child = Pipe()
        self.chatglm_model = None
        self.chatglm_tokenizer = None
        self.info = ""
        self.success = True
        self.check_dependency()
        self.start()
        
    def check_dependency(self):
        try:
            import rich
            self.info = "依赖检测通过"
            self.success = True
        except:
            self.info = "缺少的依赖,如果要使用Newbing,除了基础的pip依赖以外,您还需要运行`pip install -r request_llm/requirements_newbing.txt`安装Newbing的依赖。"
            self.success = False

    def ready(self):
        return self.chatglm_model is not None

    async def async_run(self, question):
        async for final, response in self.chatglm_model.ask_stream(
            prompt=question,
            conversation_style="balanced",                      # ["creative", "balanced", "precise"]
            wss_link="wss://sydney.bing.com/sydney/ChatHub",    # "wss://sydney.bing.com/sydney/ChatHub"
        ):
            if not final:
                self.child.send(response)
                print(response)

    def run(self):
        # 第一次运行,加载参数
        retry = 0
        while True:
            try:
                if self.chatglm_model is None:
                    proxies, = get_conf('proxies')
                    newbing_cookies, = get_conf('newbing_cookies')
                    cookies = json.loads(newbing_cookies)
                    self.chatglm_model = Chatbot(proxy=proxies['https'], cookies=cookies)
                    break
                else:
                    break
            except:
                retry += 1
                if retry > 3: 
                    self.child.send('[Local Message] 不能加载Newbing组件。')
                    raise RuntimeError("不能加载Newbing组件。")

        # 进入任务等待状态
        while True:
            kwargs = self.child.recv()
            try:
                asyncio.run(self.async_run(question=kwargs['query']))
            except:
                self.child.send('[Local Message] Newbing失败.')
            self.child.send('[Finish]')

    def stream_chat(self, **kwargs):
        self.parent.send(kwargs)
        while True:
            res = self.parent.recv()
            if res != '[Finish]':
                yield res
            else:
                break
        return
    
global glm_handle
glm_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 glm_handle
    if glm_handle is None:
        glm_handle = GetNewBingHandle()
        observe_window[0] = load_message + "\n\n" + glm_handle.info
        if not glm_handle.success: 
            error = glm_handle.info
            glm_handle = None
            raise RuntimeError(error)

    # chatglm 没有 sys_prompt 接口,因此把prompt加入 history
    history_feedin = []
    history_feedin.append(["What can I do?", sys_prompt])
    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 = ""
    for response in glm_handle.stream_chat(query=inputs, history=history_feedin, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
        observe_window[0] = response
        if len(observe_window) >= 2:  
            if (time.time()-observe_window[1]) > watch_dog_patience:
                raise RuntimeError("程序终止。")
    return 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, ""))

    global glm_handle
    if glm_handle is None:
        glm_handle = GetNewBingHandle()
        chatbot[-1] = (inputs, load_message + "\n\n" + glm_handle.info)
        yield from update_ui(chatbot=chatbot, history=[])
        if not glm_handle.success: 
            glm_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 = []
    history_feedin.append(["What can I do?", system_prompt] )
    for i in range(len(history)//2):
        history_feedin.append([history[2*i], history[2*i+1]] )

    for response in glm_handle.stream_chat(query=inputs, history=history_feedin, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
        chatbot[-1] = (inputs, response)
        yield from update_ui(chatbot=chatbot, history=history)

    history.extend([inputs, response])
    yield from update_ui(chatbot=chatbot, history=history)