1 files changed, 141 insertions, 200 deletions

diff --git a/g4f/api/__init__.py b/g4f/api/__init__.py
index fec5606f..6991044a 100644
--- a/g4f/api/__init__.py
+++ b/g4f/api/__init__.py
@@ -1,227 +1,168 @@
-import typing
-from .. import BaseProvider
-import g4f; g4f.debug.logging = True
+from fastapi                  import FastAPI, Response, Request
+from fastapi.middleware.cors  import CORSMiddleware
+from typing                   import List, Union, Any, Dict, AnyStr
+from ._tokenizer              import tokenize
+import sqlite3
+import g4f
 import time
 import json
 import random
 import string
-import logging
-
-from typing                        import Union
-from loguru                        import logger
-from waitress                      import serve
-from ._logging                     import hook_logging
-from ._tokenizer                   import tokenize
-from flask_cors                    import CORS
-from werkzeug.serving              import WSGIRequestHandler
-from werkzeug.exceptions           import default_exceptions
-from werkzeug.middleware.proxy_fix import ProxyFix
-
-from flask                         import (
-    Flask, 
-    jsonify, 
-    make_response, 
-    request,
+import uvicorn
+import nest_asyncio
+
+app = FastAPI()
+nest_asyncio.apply()
+
+origins = [
+    "http://localhost",
+    "http://localhost:1337",
+]
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=origins,
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
 )
 
-class Api:
-    __default_ip   = '127.0.0.1'
-    __default_port = 1337
-    
-    def __init__(self, engine: g4f, debug: bool = True, sentry: bool = False,
-                 list_ignored_providers:typing.List[typing.Union[str, BaseProvider]]=None) -> None:
-        self.engine    = engine
-        self.debug     = debug
-        self.sentry    = sentry
-        self.list_ignored_providers     = list_ignored_providers
-        self.log_level = logging.DEBUG if debug else logging.WARN
-        
-        hook_logging(level=self.log_level, format='[%(asctime)s] %(levelname)s in %(module)s: %(message)s')
-        self.logger = logging.getLogger('waitress')
-    
-        self.app = Flask(__name__)
-        self.app.wsgi_app = ProxyFix(self.app.wsgi_app, x_port=1)
-        self.app.after_request(self.__after_request)
-        
-    def run(self, bind_str, threads=8):
-        host, port = self.__parse_bind(bind_str)
-
-        CORS(self.app, resources={r'/v1/*': {'supports_credentials': True, 'expose_headers': [
-            'Content-Type',
-            'Authorization',
-            'X-Requested-With',
-            'Accept',
-            'Origin',
-            'Access-Control-Request-Method',
-            'Access-Control-Request-Headers',
-            'Content-Disposition'], 'max_age': 600}})
-
-        self.app.route('/v1/models',           methods=['GET'])(self.models)
-        self.app.route('/v1/models/<model_id>', methods=['GET'])(self.model_info)
-
-        self.app.route('/v1/chat/completions', methods=['POST'])(self.chat_completions)
-        self.app.route('/v1/completions',      methods=['POST'])(self.completions)
-
-        for ex in default_exceptions:
-            self.app.register_error_handler(ex, self.__handle_error)
-
-        if not self.debug:
-            self.logger.warning(f'Serving on http://{host}:{port}')
-
-        WSGIRequestHandler.protocol_version = 'HTTP/1.1'
-        serve(self.app, host=host, port=port, ident=None, threads=threads)
-    
-    def __handle_error(self, e: Exception):
-        self.logger.error(e)
-
-        return make_response(jsonify({
-            'code': e.code,
-            'message': str(e.original_exception if self.debug and hasattr(e, 'original_exception') else e.name)}), 500)
-    
-    @staticmethod
-    def __after_request(resp):
-        resp.headers['X-Server'] = f'g4f/{g4f.version}'
+JSONObject = Dict[AnyStr, Any]
+JSONArray = List[Any]
+JSONStructure = Union[JSONArray, JSONObject]
+
+@app.get("/")
+async def read_root():
+    return Response(content=json.dumps({"info": "G4F API"}, indent=4), media_type="application/json")
+
+@app.get("/v1")
+async def read_root_v1():
+    return Response(content=json.dumps({"info": "Go to /v1/chat/completions or /v1/models."}, indent=4), media_type="application/json")
+
+@app.get("/v1/models")
+async def models():
+    model_list = [{
+        'id': model,
+        'object': 'model',
+        'created': 0,
+        'owned_by': 'g4f'} for model in g4f.Model.__all__()]
+
+    return Response(content=json.dumps({
+        'object': 'list',
+        'data': model_list}, indent=4), media_type="application/json")
+
+@app.get("/v1/models/{model_name}")
+async def model_info(model_name: str):
+    try:
+        model_info = (g4f.ModelUtils.convert[model_name])
 
-        return resp
-    
-    def __parse_bind(self, bind_str):
-        sections = bind_str.split(':', 2)
-        if len(sections) < 2:
-            try:
-                port = int(sections[0])
-                return self.__default_ip, port
-            except ValueError:
-                return sections[0], self.__default_port
-
-        return sections[0], int(sections[1])
-    
-    async def home(self):
-        return 'Hello world | https://127.0.0.1:1337/v1'
+        return Response(content=json.dumps({
+            'id': model_name,
+            'object': 'model',
+            'created': 0,
+            'owned_by': model_info.base_provider
+        }, indent=4), media_type="application/json")
+    except:
+        return Response(content=json.dumps({"error": "The model does not exist."}, indent=4), media_type="application/json")
+
+@app.post("/v1/chat/completions")
+async def chat_completions(request: Request, item: JSONStructure = None):
+
+    item_data = {
+        'model': 'gpt-3.5-turbo',
+        'stream': False,
+    }
     
-    async def chat_completions(self):
-        model    = request.json.get('model', 'gpt-3.5-turbo')
-        stream   = request.json.get('stream', False)
-        messages = request.json.get('messages')
-        
-        logger.info(f'model: {model}, stream: {stream}, request: {messages[-1]["content"]}')
+    item_data.update(item or {})
+    model = item_data.get('model')
+    stream = item_data.get('stream')
+    messages = item_data.get('messages')
+
+    try:
+        response = g4f.ChatCompletion.create(model=model, stream=stream, messages=messages)
+    except:
+        return Response(content=json.dumps({"error": "An error occurred while generating the response."}, indent=4), media_type="application/json")
+
+    completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
+    completion_timestamp = int(time.time())
+
+    if not stream:
+        prompt_tokens, _ = tokenize(''.join([message['content'] for message in messages]))
+        completion_tokens, _ = tokenize(response)
+
+        json_data = {
+            'id': f'chatcmpl-{completion_id}',
+            'object': 'chat.completion',
+            'created': completion_timestamp,
+            'model': model,
+            'choices': [
+                {
+                    'index': 0,
+                    'message': {
+                        'role': 'assistant',
+                        'content': response,
+                    },
+                    'finish_reason': 'stop',
+                }
+            ],
+            'usage': {
+                'prompt_tokens': prompt_tokens,
+                'completion_tokens': completion_tokens,
+                'total_tokens': prompt_tokens + completion_tokens,
+            },
+        }
 
-        config = None
-        proxy = None
+        return Response(content=json.dumps(json_data, indent=4), media_type="application/json")
 
+    def streaming():
         try:
-            config = json.load(open("config.json","r",encoding="utf-8"))
-            proxy = config["proxy"]
+            for chunk in response:
+                completion_data = {
+                    'id': f'chatcmpl-{completion_id}',
+                    'object': 'chat.completion.chunk',
+                    'created': completion_timestamp,
+                    'model': model,
+                    'choices': [
+                        {
+                            'index': 0,
+                            'delta': {
+                                'content': chunk,
+                            },
+                            'finish_reason': None,
+                        }
+                    ],
+                }
 
-        except Exception:
-            pass
+                content = json.dumps(completion_data, separators=(',', ':'))
+                yield f'data: {content}\n\n'
+                time.sleep(0.03)
 
-        if proxy != None:
-            response = self.engine.ChatCompletion.create(model=model,
-                                                        stream=stream, messages=messages,
-                                                        ignored=self.list_ignored_providers,
-                                                        proxy=proxy)
-        else:
-            response = self.engine.ChatCompletion.create(model=model,
-                                                        stream=stream, messages=messages,
-                                                        ignored=self.list_ignored_providers)
-
-        completion_id        = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
-        completion_timestamp = int(time.time())
-
-        if not stream:
-            prompt_tokens, _ = tokenize(''.join([message['content'] for message in messages]))
-            completion_tokens, _ = tokenize(response)
-            
-            return {
+            end_completion_data = {
                 'id': f'chatcmpl-{completion_id}',
-                'object': 'chat.completion',
+                'object': 'chat.completion.chunk',
                 'created': completion_timestamp,
                 'model': model,
                 'choices': [
                     {
                         'index': 0,
-                        'message': {
-                            'role': 'assistant',
-                            'content': response,
-                        },
+                        'delta': {},
                         'finish_reason': 'stop',
                     }
                 ],
-                'usage': {
-                    'prompt_tokens': prompt_tokens,
-                    'completion_tokens': completion_tokens,
-                    'total_tokens': prompt_tokens + completion_tokens,
-                },
             }
 
-        def streaming():
-            try:
-                for chunk in response:
-                    completion_data = {
-                        'id': f'chatcmpl-{completion_id}',
-                        'object': 'chat.completion.chunk',
-                        'created': completion_timestamp,
-                        'model': model,
-                        'choices': [
-                            {
-                                'index': 0,
-                                'delta': {
-                                    'content': chunk,
-                                },
-                                'finish_reason': None,
-                            }
-                        ],
-                    }
+            content = json.dumps(end_completion_data, separators=(',', ':'))
+            yield f'data: {content}\n\n'
 
-                    content = json.dumps(completion_data, separators=(',', ':'))
-                    yield f'data: {content}\n\n'
-                    time.sleep(0.03)
+        except GeneratorExit:
+            pass
 
-                end_completion_data = {
-                    'id': f'chatcmpl-{completion_id}',
-                    'object': 'chat.completion.chunk',
-                    'created': completion_timestamp,
-                    'model': model,
-                    'choices': [
-                        {
-                            'index': 0,
-                            'delta': {},
-                            'finish_reason': 'stop',
-                        }
-                    ],
-                }
-                
-                content = json.dumps(end_completion_data, separators=(',', ':'))
-                yield f'data: {content}\n\n'
-                
-                logger.success(f'model: {model}, stream: {stream}')
-            
-            except GeneratorExit:
-                pass
+    return Response(content=json.dumps(streaming(), indent=4), media_type="application/json")
 
-        return self.app.response_class(streaming(), mimetype='text/event-stream')
-    
-    async def completions(self):
-        return 'not working yet', 500
-    
-    async def model_info(self, model_name):
-        model_info = (g4f.ModelUtils.convert[model_name])
-    
-        return jsonify({
-            'id'       : model_name,
-            'object'   : 'model',
-            'created'  : 0,
-            'owned_by' : model_info.base_provider
-        })
-    
-    async def models(self):
-        model_list = [{
-            'id'        : model,
-            'object'    : 'model',
-            'created'   : 0,
-            'owned_by'  : 'g4f'} for model in g4f.Model.__all__()]
-            
-        return jsonify({
-            'object': 'list',
-            'data': model_list})
-    
\ No newline at end of file
+@app.post("/v1/completions")
+async def completions():
+    return Response(content=json.dumps({'info': 'Not working yet.'}, indent=4), media_type="application/json")
+
+def run(ip):
+    split_ip = ip.split(":")
+    uvicorn.run(app, host=split_ip[0], port=int(split_ip[1]), use_colors=False, loop='asyncio')