Update __init__.py · XFE Studio Git

@@ -1,227 +1,168 @@

1 import typing

2 from .. import BaseProvider

3 import g4f; g4f.debug.logging = True

1 from fastapi import FastAPI, Response, Request

2 from fastapi.middleware.cors import CORSMiddleware

3 from typing import List, Union, Any, Dict, AnyStr

4 from ._tokenizer import tokenize

5 import sqlite3

6 import g4f

4 7 import time

5 8 import json

6 9 import random

7 10 import string

8 import logging

9

10 from typing import Union

11 from loguru import logger

12 from waitress import serve

13 from ._logging import hook_logging

14 from ._tokenizer import tokenize

15 from flask_cors import CORS

16 from werkzeug.serving import WSGIRequestHandler

17 from werkzeug.exceptions import default_exceptions

18 from werkzeug.middleware.proxy_fix import ProxyFix

19

20 from flask import (

21 Flask,

22 jsonify,

23 make_response,

24 request,

11 import uvicorn

12 import nest_asyncio

13

14 app = FastAPI()

15 nest_asyncio.apply()

16

17 origins = [

18 "http://localhost",

19 "http://localhost:1337",

20 ]

21

22 app.add_middleware(

23 CORSMiddleware,

24 allow_origins=origins,

25 allow_credentials=True,

26 allow_methods=["*"],

27 allow_headers=["*"],

25 28 )

26 29

27 class Api:

28 __default_ip = '127.0.0.1'

29 __default_port = 1337

30

31 def __init__(self, engine: g4f, debug: bool = True, sentry: bool = False,

32 list_ignored_providers:typing.List[typing.Union[str, BaseProvider]]=None) -> None:

33 self.engine = engine

34 self.debug = debug

35 self.sentry = sentry

36 self.list_ignored_providers = list_ignored_providers

37 self.log_level = logging.DEBUG if debug else logging.WARN

38

39 hook_logging(level=self.log_level, format='[%(asctime)s] %(levelname)s in %(module)s: %(message)s')

40 self.logger = logging.getLogger('waitress')

41

42 self.app = Flask(__name__)

43 self.app.wsgi_app = ProxyFix(self.app.wsgi_app, x_port=1)

44 self.app.after_request(self.__after_request)

45

46 def run(self, bind_str, threads=8):

47 host, port = self.__parse_bind(bind_str)

48

49 CORS(self.app, resources={r'/v1/*': {'supports_credentials': True, 'expose_headers': [

50 'Content-Type',

51 'Authorization',

52 'X-Requested-With',

53 'Accept',

54 'Origin',

55 'Access-Control-Request-Method',

56 'Access-Control-Request-Headers',

57 'Content-Disposition'], 'max_age': 600}})

58

59 self.app.route('/v1/models', methods=['GET'])(self.models)

60 self.app.route('/v1/models/<model_id>', methods=['GET'])(self.model_info)

61

62 self.app.route('/v1/chat/completions', methods=['POST'])(self.chat_completions)

63 self.app.route('/v1/completions', methods=['POST'])(self.completions)

64

65 for ex in default_exceptions:

66 self.app.register_error_handler(ex, self.__handle_error)

67

68 if not self.debug:

69 self.logger.warning(f'Serving on http://{host}:{port}')

70

71 WSGIRequestHandler.protocol_version = 'HTTP/1.1'

72 serve(self.app, host=host, port=port, ident=None, threads=threads)

73

74 def __handle_error(self, e: Exception):

75 self.logger.error(e)

76

77 return make_response(jsonify({

78 'code': e.code,

79 'message': str(e.original_exception if self.debug and hasattr(e, 'original_exception') else e.name)}), 500)

80

81 @staticmethod

82 def __after_request(resp):

83 resp.headers['X-Server'] = f'g4f/{g4f.version}'

30 JSONObject = Dict[AnyStr, Any]

31 JSONArray = List[Any]

32 JSONStructure = Union[JSONArray, JSONObject]

33

34 @app.get("/")

35 async def read_root():

36 return Response(content=json.dumps({"info": "G4F API"}, indent=4), media_type="application/json")

37

38 @app.get("/v1")

39 async def read_root_v1():

40

    return Response(content=json.dumps({"info": "Go to /v1/chat/completions or /v1/models."}, indent=4), media_type="application/json")

41

42 @app.get("/v1/models")

43 async def models():

44 model_list = [{

45 'id': model,

46 'object': 'model',

47 'created': 0,

48 'owned_by': 'g4f'} for model in g4f.Model.__all__()]

49

50 return Response(content=json.dumps({

51 'object': 'list',

52 'data': model_list}, indent=4), media_type="application/json")

53

54 @app.get("/v1/models/{model_name}")

55 async def model_info(model_name: str):

56 try:

57 model_info = (g4f.ModelUtils.convert[model_name])

84 58

85 return resp

86

87 def __parse_bind(self, bind_str):

88 sections = bind_str.split(':', 2)

89 if len(sections) < 2:

90 try:

91 port = int(sections[0])

92 return self.__default_ip, port

93 except ValueError:

94 return sections[0], self.__default_port

95

96 return sections[0], int(sections[1])

97

98 async def home(self):

99 return 'Hello world | https://127.0.0.1:1337/v1'

59 return Response(content=json.dumps({

60 'id': model_name,

61 'object': 'model',

62 'created': 0,

63 'owned_by': model_info.base_provider

64 }, indent=4), media_type="application/json")

65 except:

66

        return Response(content=json.dumps({"error": "The model does not exist."}, indent=4), media_type="application/json")

67

68 @app.post("/v1/chat/completions")

69 async def chat_completions(request: Request, item: JSONStructure = None):

70

71 item_data = {

72 'model': 'gpt-3.5-turbo',

73 'stream': False,

74 }

100 75

101 async def chat_completions(self):

102 model = request.json.get('model', 'gpt-3.5-turbo')

103 stream = request.json.get('stream', False)

104 messages = request.json.get('messages')

105

106 logger.info(f'model: {model}, stream: {stream}, request: {messages[-1]["content"]}')

76 item_data.update(item or {})

77 model = item_data.get('model')

78 stream = item_data.get('stream')

79 messages = item_data.get('messages')

80

81 try:

82 response = g4f.ChatCompletion.create(model=model, stream=stream, messages=messages)

83 except:

84

        return Response(content=json.dumps({"error": "An error occurred while generating the response."}, indent=4), media_type="application/json")

85

86 completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))

87 completion_timestamp = int(time.time())

88

89 if not stream:

90 prompt_tokens, _ = tokenize(''.join([message['content'] for message in messages]))

91 completion_tokens, _ = tokenize(response)

92

93 json_data = {

94 'id': f'chatcmpl-{completion_id}',

95 'object': 'chat.completion',

96 'created': completion_timestamp,

97 'model': model,

98 'choices': [

99 {

100 'index': 0,

101 'message': {

102 'role': 'assistant',

103 'content': response,

104 },

105 'finish_reason': 'stop',

106 }

107 ],

108 'usage': {

109 'prompt_tokens': prompt_tokens,

110 'completion_tokens': completion_tokens,

111 'total_tokens': prompt_tokens + completion_tokens,

112 },

113 }

107 114

108 config = None

109 proxy = None

115 return Response(content=json.dumps(json_data, indent=4), media_type="application/json")

110 116

117 def streaming():

111 118 try:

112 config = json.load(open("config.json","r",encoding="utf-8"))

113 proxy = config["proxy"]

119 for chunk in response:

120 completion_data = {

121 'id': f'chatcmpl-{completion_id}',

122 'object': 'chat.completion.chunk',

123 'created': completion_timestamp,

124 'model': model,

125 'choices': [

126 {

127 'index': 0,

128 'delta': {

129 'content': chunk,

130 },

131 'finish_reason': None,

132 }

133 ],

134 }

114 135

115 except Exception:

116 pass

136 content = json.dumps(completion_data, separators=(',', ':'))

137 yield f'data: {content}\n\n'

138 time.sleep(0.03)

117 139

118 if proxy != None:

119 response = self.engine.ChatCompletion.create(model=model,

120 stream=stream, messages=messages,

121 ignored=self.list_ignored_providers,

122 proxy=proxy)

123 else:

124 response = self.engine.ChatCompletion.create(model=model,

125 stream=stream, messages=messages,

126 ignored=self.list_ignored_providers)

127

128 completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))

129 completion_timestamp = int(time.time())

130

131 if not stream:

132 prompt_tokens, _ = tokenize(''.join([message['content'] for message in messages]))

133 completion_tokens, _ = tokenize(response)

134

135 return {

140 end_completion_data = {

136 141 'id': f'chatcmpl-{completion_id}',

137 'object': 'chat.completion',

142 'object': 'chat.completion.chunk',

138 143 'created': completion_timestamp,

139 144 'model': model,

140 145 'choices': [

141 146 {

142 147 'index': 0,

143 'message': {

144 'role': 'assistant',

145 'content': response,

146 },

148 'delta': {},

147 149 'finish_reason': 'stop',

148 150 }

149 151 ],

150 'usage': {

151 'prompt_tokens': prompt_tokens,

152 'completion_tokens': completion_tokens,

153 'total_tokens': prompt_tokens + completion_tokens,

154 },

155 152 }

156 153

157 def streaming():

158 try:

159 for chunk in response:

160 completion_data = {

161 'id': f'chatcmpl-{completion_id}',

162 'object': 'chat.completion.chunk',

163 'created': completion_timestamp,

164 'model': model,

165 'choices': [

166 {

167 'index': 0,

168 'delta': {

169 'content': chunk,

170 },

171 'finish_reason': None,

172 }

173 ],

174 }

154 content = json.dumps(end_completion_data, separators=(',', ':'))

155 yield f'data: {content}\n\n'

175 156

176 content = json.dumps(completion_data, separators=(',', ':'))

177 yield f'data: {content}\n\n'

178 time.sleep(0.03)

157 except GeneratorExit:

158 pass

179 159

180 end_completion_data = {

181 'id': f'chatcmpl-{completion_id}',

182 'object': 'chat.completion.chunk',

183 'created': completion_timestamp,

184 'model': model,

185 'choices': [

186 {

187 'index': 0,

188 'delta': {},

189 'finish_reason': 'stop',

190 }

191 ],

192 }

193

194 content = json.dumps(end_completion_data, separators=(',', ':'))

195 yield f'data: {content}\n\n'

196

197 logger.success(f'model: {model}, stream: {stream}')

198

199 except GeneratorExit:

200 pass

160 return Response(content=json.dumps(streaming(), indent=4), media_type="application/json")

201 161

202 return self.app.response_class(streaming(), mimetype='text/event-stream')

203

204 async def completions(self):

205 return 'not working yet', 500

206

207 async def model_info(self, model_name):

208 model_info = (g4f.ModelUtils.convert[model_name])

209

210 return jsonify({

211 'id' : model_name,

212 'object' : 'model',

213 'created' : 0,

214 'owned_by' : model_info.base_provider

215 })

216

217 async def models(self):

218 model_list = [{

219 'id' : model,

220 'object' : 'model',

221 'created' : 0,

222 'owned_by' : 'g4f'} for model in g4f.Model.__all__()]

223

224 return jsonify({

225 'object': 'list',

226 'data': model_list})

227

162 @app.post("/v1/completions")

163 async def completions():

164 return Response(content=json.dumps({'info': 'Not working yet.'}, indent=4), media_type="application/json")

165

166 def run(ip):

167 split_ip = ip.split(":")

168 uvicorn.run(app, host=split_ip[0], port=int(split_ip[1]), use_colors=False, loop='asyncio')

gpt4free

Update init.py

代码差异