1 files changed, 0 insertions, 289 deletions

diff --git a/phind/__init__.py b/phind/__init__.py
deleted file mode 100644
index 863360cb..00000000
--- a/phind/__init__.py
+++ /dev/null
@@ -1,289 +0,0 @@
-from datetime import datetime
-from queue import Queue, Empty
-from threading import Thread
-from time import time
-from urllib.parse import quote
-
-from curl_cffi.requests import post
-
-cf_clearance = ''
-user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
-
-
-class PhindResponse:
-    class Completion:
-        class Choices:
-            def __init__(self, choice: dict) -> None:
-                self.text = choice['text']
-                self.content = self.text.encode()
-                self.index = choice['index']
-                self.logprobs = choice['logprobs']
-                self.finish_reason = choice['finish_reason']
-
-            def __repr__(self) -> str:
-                return f'''<__main__.APIResponse.Completion.Choices(\n    text           = {self.text.encode()},\n    index          = {self.index},\n    logprobs       = {self.logprobs},\n    finish_reason  = {self.finish_reason})object at 0x1337>'''
-
-        def __init__(self, choices: dict) -> None:
-            self.choices = list(map(self.Choices, choices))
-
-    class Usage:
-        def __init__(self, usage_dict: dict) -> None:
-            self.prompt_tokens = usage_dict['prompt_tokens']
-            self.completion_tokens = usage_dict['completion_tokens']
-            self.total_tokens = usage_dict['total_tokens']
-
-        def __repr__(self):
-            return f'''<__main__.APIResponse.Usage(\n    prompt_tokens      = {self.prompt_tokens},\n    completion_tokens  = {self.completion_tokens},\n    total_tokens       = {self.total_tokens})object at 0x1337>'''
-
-    def __init__(self, response_dict: dict) -> None:
-        self.response_dict = response_dict
-        self.id = response_dict['id']
-        self.object = response_dict['object']
-        self.created = response_dict['created']
-        self.model = response_dict['model']
-        self.completion = self.Completion(response_dict['choices'])
-        self.usage = self.Usage(response_dict['usage'])
-
-    def json(self) -> dict:
-        return self.response_dict
-
-
-class Search:
-    def create(prompt: str, actualSearch: bool = True, language: str = 'en') -> dict:  # None = no search
-        if user_agent == '':
-            raise ValueError('user_agent must be set, refer to documentation')
-        if cf_clearance == '':
-            raise ValueError('cf_clearance must be set, refer to documentation')
-
-        if not actualSearch:
-            return {
-                '_type': 'SearchResponse',
-                'queryContext': {
-                    'originalQuery': prompt
-                },
-                'webPages': {
-                    'webSearchUrl': f'https://www.bing.com/search?q={quote(prompt)}',
-                    'totalEstimatedMatches': 0,
-                    'value': []
-                },
-                'rankingResponse': {
-                    'mainline': {
-                        'items': []
-                    }
-                }
-            }
-
-        headers = {
-            'authority': 'www.phind.com',
-            'accept': '*/*',
-            'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
-            'cookie': f'cf_clearance={cf_clearance}',
-            'origin': 'https://www.phind.com',
-            'referer': 'https://www.phind.com/search?q=hi&c=&source=searchbox&init=true',
-            'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
-            'sec-ch-ua-mobile': '?0',
-            'sec-ch-ua-platform': '"macOS"',
-            'sec-fetch-dest': 'empty',
-            'sec-fetch-mode': 'cors',
-            'sec-fetch-site': 'same-origin',
-            'user-agent': user_agent
-        }
-
-        return post('https://www.phind.com/api/bing/search', headers=headers, json={
-            'q': prompt,
-            'userRankList': {},
-            'browserLanguage': language}).json()['rawBingResults']
-
-
-class Completion:
-    def create(
-            model='gpt-4',
-            prompt: str = '',
-            results: dict = None,
-            creative: bool = False,
-            detailed: bool = False,
-            codeContext: str = '',
-            language: str = 'en') -> PhindResponse:
-
-        if user_agent == '':
-            raise ValueError('user_agent must be set, refer to documentation')
-
-        if cf_clearance == '':
-            raise ValueError('cf_clearance must be set, refer to documentation')
-
-        if results is None:
-            results = Search.create(prompt, actualSearch=True)
-
-        if len(codeContext) > 2999:
-            raise ValueError('codeContext must be less than 3000 characters')
-
-        models = {
-            'gpt-4': 'expert',
-            'gpt-3.5-turbo': 'intermediate',
-            'gpt-3.5': 'intermediate',
-        }
-
-        json_data = {
-            'question': prompt,
-            'bingResults': results,  # response.json()['rawBingResults'],
-            'codeContext': codeContext,
-            'options': {
-                'skill': models[model],
-                'date': datetime.now().strftime("%d/%m/%Y"),
-                'language': language,
-                'detailed': detailed,
-                'creative': creative
-            }
-        }
-
-        headers = {
-            'authority': 'www.phind.com',
-            'accept': '*/*',
-            'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
-            'content-type': 'application/json',
-            'cookie': f'cf_clearance={cf_clearance}',
-            'origin': 'https://www.phind.com',
-            'referer': 'https://www.phind.com/search?q=hi&c=&source=searchbox&init=true',
-            'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
-            'sec-ch-ua-mobile': '?0',
-            'sec-ch-ua-platform': '"macOS"',
-            'sec-fetch-dest': 'empty',
-            'sec-fetch-mode': 'cors',
-            'sec-fetch-site': 'same-origin',
-            'user-agent': user_agent
-        }
-
-        completion = ''
-        response = post('https://www.phind.com/api/infer/answer', headers=headers, json=json_data, timeout=99999,
-                        impersonate='chrome110')
-        for line in response.text.split('\r\n\r\n'):
-            completion += (line.replace('data: ', ''))
-
-        return PhindResponse({
-            'id': f'cmpl-1337-{int(time())}',
-            'object': 'text_completion',
-            'created': int(time()),
-            'model': models[model],
-            'choices': [{
-                'text': completion,
-                'index': 0,
-                'logprobs': None,
-                'finish_reason': 'stop'
-            }],
-            'usage': {
-                'prompt_tokens': len(prompt),
-                'completion_tokens': len(completion),
-                'total_tokens': len(prompt) + len(completion)
-            }
-        })
-
-
-class StreamingCompletion:
-    message_queue = Queue()
-    stream_completed = False
-
-    def request(model, prompt, results, creative, detailed, codeContext, language) -> None:
-
-        models = {
-            'gpt-4': 'expert',
-            'gpt-3.5-turbo': 'intermediate',
-            'gpt-3.5': 'intermediate',
-        }
-
-        json_data = {
-            'question': prompt,
-            'bingResults': results,
-            'codeContext': codeContext,
-            'options': {
-                'skill': models[model],
-                'date': datetime.now().strftime("%d/%m/%Y"),
-                'language': language,
-                'detailed': detailed,
-                'creative': creative
-            }
-        }
-
-        headers = {
-            'authority': 'www.phind.com',
-            'accept': '*/*',
-            'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
-            'content-type': 'application/json',
-            'cookie': f'cf_clearance={cf_clearance}',
-            'origin': 'https://www.phind.com',
-            'referer': 'https://www.phind.com/search?q=hi&c=&source=searchbox&init=true',
-            'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
-            'sec-ch-ua-mobile': '?0',
-            'sec-ch-ua-platform': '"macOS"',
-            'sec-fetch-dest': 'empty',
-            'sec-fetch-mode': 'cors',
-            'sec-fetch-site': 'same-origin',
-            'user-agent': user_agent
-        }
-
-        response = post('https://www.phind.com/api/infer/answer',
-                        headers=headers, json=json_data, timeout=99999, impersonate='chrome110',
-                        content_callback=StreamingCompletion.handle_stream_response)
-
-        StreamingCompletion.stream_completed = True
-
-    @staticmethod
-    def create(
-            model: str = 'gpt-4',
-            prompt: str = '',
-            results: dict = None,
-            creative: bool = False,
-            detailed: bool = False,
-            codeContext: str = '',
-            language: str = 'en'):
-
-        if user_agent == '':
-            raise ValueError('user_agent must be set, refer to documentation')
-        if cf_clearance == '':
-            raise ValueError('cf_clearance must be set, refer to documentation')
-
-        if results is None:
-            results = Search.create(prompt, actualSearch=True)
-
-        if len(codeContext) > 2999:
-            raise ValueError('codeContext must be less than 3000 characters')
-
-        Thread(target=StreamingCompletion.request, args=[
-            model, prompt, results, creative, detailed, codeContext, language]).start()
-
-        while StreamingCompletion.stream_completed != True or not StreamingCompletion.message_queue.empty():
-            try:
-                chunk = StreamingCompletion.message_queue.get(timeout=0)
-
-                if chunk == b'data:  \r\ndata: \r\ndata: \r\n\r\n':
-                    chunk = b'data:  \n\n\r\n\r\n'
-
-                chunk = chunk.decode()
-
-                chunk = chunk.replace('data: \r\n\r\ndata: ', 'data: \n')
-                chunk = chunk.replace('\r\ndata: \r\ndata: \r\n\r\n', '\n\n\r\n\r\n')
-                chunk = chunk.replace('data: ', '').replace('\r\n\r\n', '')
-
-                yield PhindResponse({
-                    'id': f'cmpl-1337-{int(time())}',
-                    'object': 'text_completion',
-                    'created': int(time()),
-                    'model': model,
-                    'choices': [{
-                        'text': chunk,
-                        'index': 0,
-                        'logprobs': None,
-                        'finish_reason': 'stop'
-                    }],
-                    'usage': {
-                        'prompt_tokens': len(prompt),
-                        'completion_tokens': len(chunk),
-                        'total_tokens': len(prompt) + len(chunk)
-                    }
-                })
-
-            except Empty:
-                pass
-
-    @staticmethod
-    def handle_stream_response(response):
-        StreamingCompletion.message_queue.put(response)