File size: 8,998 Bytes
a745a89
 
 
 
fd49f49
a745a89
 
 
 
f2f69b9
a745a89
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f2f69b9
a745a89
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fd49f49
 
 
a745a89
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fd49f49
a745a89
fd49f49
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
93fe271
 
 
 
fd49f49
 
 
 
 
 
 
 
 
 
 
 
 
93fe271
fd49f49
 
 
93fe271
 
 
fd49f49
 
 
 
 
 
 
 
 
 
 
 
 
a745a89
fd49f49
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a745a89
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
from datetime import datetime
import json
from typing import Any, Dict, Optional
import uuid
import asyncio

import httpx
from api import validate
from api.config import MODEL_MAPPING, headers
from fastapi import Depends, security, HTTPException
from fastapi.security import HTTPAuthorizationCredentials

from api.config import APP_SECRET, BASE_URL
from api.models import ChatRequest

from api.logger import setup_logger

logger = setup_logger(__name__)


def create_chat_completion_data(
    content: str, model: str, timestamp: int, finish_reason: Optional[str] = None
) -> Dict[str, Any]:
    return {
        "id": f"chatcmpl-{uuid.uuid4()}",
        "object": "chat.completion.chunk",
        "created": timestamp,
        "model": model,
        "choices": [
            {
                "index": 0,
                "delta": {"content": content, "role": "assistant"},
                "finish_reason": finish_reason,
            }
        ],
        "usage": None,
    }


def verify_app_secret(credentials: HTTPAuthorizationCredentials = Depends(security)):
    if credentials.credentials != APP_SECRET:
        raise HTTPException(status_code=403, detail="Invalid APP_SECRET")
    return credentials.credentials


def message_to_dict(message):
    if isinstance(message.content, str):
        return {"role": message.role, "content": message.content}
    elif isinstance(message.content, list) and len(message.content) == 2:
        if "image_url" in message.content[1]:
            return {
                "role": message.role,
                "content": message.content[0]["text"],
                "data": {
                    "imageBase64": message.content[1]["image_url"]["url"],
                    "fileText": "",
                    "title": "snapshoot",
                },
            }
        else:
            return {
                "role": message.role,
                "content": message.content[0]["text"],
                "data": {
                    "imageBase64": "",
                    "fileText": "",
                    "title": "snapshoot",
                },
            }
    else:
        return {"role": message.role, "content": message.content}


async def process_streaming_response(request: ChatRequest):
    max_retries = 3
    retry_delay = 1
    
    json_data = {
        "messages": [message_to_dict(msg) for msg in request.messages],
        "previewToken": None,
        "userId": None,
        "codeModelMode": True,
        "agentMode": {},
        "trendingAgentMode": {},
        "isMicMode": False,
        "userSystemPrompt": None,
        "maxTokens": request.max_tokens,
        "playgroundTopP": request.top_p,
        "playgroundTemperature": request.temperature,
        "isChromeExt": False,
        "githubToken": None,
        "clickedAnswer2": False,
        "clickedAnswer3": False,
        "clickedForceWebSearch": False,
        "visitFromDelta": False,
        "mobileClient": False,
        "userSelectedModel": MODEL_MAPPING.get(request.model),
        "validated": validate.getHid()
    }

    for attempt in range(max_retries):
        try:
            async with httpx.AsyncClient(timeout=120.0) as client:
                async with client.stream(
                    "POST",
                    f"{BASE_URL}/api/chat",
                    headers=headers,
                    json=json_data,
                ) as response:
                    if response.status_code == 500:
                        # 如果是500错误,尝试刷新hid
                        validate.getHid(True)
                        # 更新json_data中的validated值
                        json_data["validated"] = validate.getHid()
                        if attempt < max_retries - 1:
                            await asyncio.sleep(retry_delay)
                            continue
                        
                    response.raise_for_status()
                    async for line in response.aiter_lines():
                        timestamp = int(datetime.now().timestamp())
                        if line:
                            try:
                                content = line + "\n"
                                if "https://www.blackbox.ai" in content:
                                    validate.getHid(True)
                                    content = "正在刷新会话,请重试\n"
                                    yield f"data: {json.dumps(create_chat_completion_data(content, request.model, timestamp))}\n\n"
                                    yield f"data: {json.dumps(create_chat_completion_data('', request.model, timestamp, 'stop'))}\n\n"
                                    yield "data: [DONE]\n\n"
                                    return

                                if content.startswith("$@$v=undefined-rv1$@$"):
                                    content = content[21:]

                                yield f"data: {json.dumps(create_chat_completion_data(content, request.model, timestamp))}\n\n"
                            except Exception as e:
                                logger.error(f"Error processing line: {e}")
                                continue

                    yield f"data: {json.dumps(create_chat_completion_data('', request.model, timestamp, 'stop'))}\n\n"
                    yield "data: [DONE]\n\n"
                    return

        except httpx.HTTPStatusError as e:
            logger.error(f"HTTP error occurred: {e}")
            if attempt == max_retries - 1:
                error_message = "服务暂时不可用,请稍后重试"
                timestamp = int(datetime.now().timestamp())
                yield f"data: {json.dumps(create_chat_completion_data(error_message, request.model, timestamp))}\n\n"
                yield f"data: {json.dumps(create_chat_completion_data('', request.model, timestamp, 'stop'))}\n\n"
                yield "data: [DONE]\n\n"
                return
            await asyncio.sleep(retry_delay)

        except httpx.RequestError as e:
            logger.error(f"Request error occurred: {e}")
            if attempt == max_retries - 1:
                error_message = "网络连接错误,请检查网络后重试"
                timestamp = int(datetime.now().timestamp())
                yield f"data: {json.dumps(create_chat_completion_data(error_message, request.model, timestamp))}\n\n"
                yield f"data: {json.dumps(create_chat_completion_data('', request.model, timestamp, 'stop'))}\n\n"
                yield "data: [DONE]\n\n"
                return
            await asyncio.sleep(retry_delay)

        except Exception as e:
            logger.error(f"Unexpected error: {e}")
            if attempt == max_retries - 1:
                error_message = "发生未知错误,请重试"
                timestamp = int(datetime.now().timestamp())
                yield f"data: {json.dumps(create_chat_completion_data(error_message, request.model, timestamp))}\n\n"
                yield f"data: {json.dumps(create_chat_completion_data('', request.model, timestamp, 'stop'))}\n\n"
                yield "data: [DONE]\n\n"
                return
            await asyncio.sleep(retry_delay)


async def process_non_streaming_response(request: ChatRequest):
    json_data = {
        "messages": [message_to_dict(msg) for msg in request.messages],
        "previewToken": None,
        "userId": None,
        "codeModelMode": True,
        "agentMode": {},
        "trendingAgentMode": {},
        "isMicMode": False,
        "userSystemPrompt": None,
        "maxTokens": request.max_tokens,
        "playgroundTopP": request.top_p,
        "playgroundTemperature": request.temperature,
        "isChromeExt": False,
        "githubToken": None,
        "clickedAnswer2": False,
        "clickedAnswer3": False,
        "clickedForceWebSearch": False,
        "visitFromDelta": False,
        "mobileClient": False,
        "userSelectedModel": MODEL_MAPPING.get(request.model),
        "validated": validate.getHid()
    }
    full_response = ""
    async with httpx.AsyncClient() as client:
        async with client.stream(
            method="POST", url=f"{BASE_URL}/api/chat", headers=headers, json=json_data
        ) as response:
            async for chunk in response.aiter_text():
                full_response += chunk
    if "https://www.blackbox.ai" in full_response:
        validate.getHid(True)
        full_response = "hid已刷新,重新对话即可"
    if full_response.startswith("$@$v=undefined-rv1$@$"):
        full_response = full_response[21:]
    return {
        "id": f"chatcmpl-{uuid.uuid4()}",
        "object": "chat.completion",
        "created": int(datetime.now().timestamp()),
        "model": request.model,
        "choices": [
            {
                "index": 0,
                "message": {"role": "assistant", "content": full_response},
                "finish_reason": "stop",
            }
        ],
        "usage": None,
    }