From f1594cfddecf2bd47a25d54852834b392eaa4efd Mon Sep 17 00:00:00 2001 From: Aymane Hrouch Date: Thu, 27 Apr 2023 15:43:59 +0100 Subject: Reformat code using PyCharm --- phind/__init__.py | 226 +++++++++++++++++++++++++++--------------------------- 1 file changed, 112 insertions(+), 114 deletions(-) (limited to 'phind/__init__.py') diff --git a/phind/__init__.py b/phind/__init__.py index e7009d67..863360cb 100644 --- a/phind/__init__.py +++ b/phind/__init__.py @@ -1,27 +1,25 @@ +from datetime import datetime +from queue import Queue, Empty +from threading import Thread +from time import time from urllib.parse import quote -from time import time -from datetime import datetime -from queue import Queue, Empty -from threading import Thread -from re import findall 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' +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'] - + 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>''' @@ -30,34 +28,33 @@ class PhindResponse: 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'] + 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']) + 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 + 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 == '' : + if cf_clearance == '': raise ValueError('cf_clearance must be set, refer to documentation') - + if not actualSearch: return { '_type': 'SearchResponse', @@ -75,7 +72,7 @@ class Search: } } } - + headers = { 'authority': 'www.phind.com', 'accept': '*/*', @@ -91,8 +88,8 @@ class Search: 'sec-fetch-site': 'same-origin', 'user-agent': user_agent } - - return post('https://www.phind.com/api/bing/search', headers = headers, json = { + + return post('https://www.phind.com/api/bing/search', headers=headers, json={ 'q': prompt, 'userRankList': {}, 'browserLanguage': language}).json()['rawBingResults'] @@ -100,45 +97,45 @@ class Search: 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 == '' : + 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 == '' : + if cf_clearance == '': raise ValueError('cf_clearance must be set, refer to documentation') - + if results is None: - results = Search.create(prompt, actualSearch = True) - + 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-4': 'expert', + 'gpt-3.5-turbo': 'intermediate', 'gpt-3.5': 'intermediate', } - + json_data = { - 'question' : prompt, - 'bingResults' : results, #response.json()['rawBingResults'], - 'codeContext' : codeContext, + 'question': prompt, + 'bingResults': results, # response.json()['rawBingResults'], + 'codeContext': codeContext, 'options': { - 'skill' : models[model], - 'date' : datetime.now().strftime("%d/%m/%Y"), + 'skill': models[model], + 'date': datetime.now().strftime("%d/%m/%Y"), 'language': language, 'detailed': detailed, 'creative': creative } } - + headers = { 'authority': 'www.phind.com', 'accept': '*/*', @@ -155,50 +152,51 @@ class Completion: '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') + 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], + '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' - }], + 'text': completion, + 'index': 0, + 'logprobs': None, + 'finish_reason': 'stop' + }], 'usage': { - 'prompt_tokens' : len(prompt), - 'completion_tokens' : len(completion), - 'total_tokens' : len(prompt) + len(completion) + 'prompt_tokens': len(prompt), + 'completion_tokens': len(completion), + 'total_tokens': len(prompt) + len(completion) } }) - + class StreamingCompletion: - message_queue = Queue() + 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-4': 'expert', + 'gpt-3.5-turbo': 'intermediate', 'gpt-3.5': 'intermediate', } json_data = { - 'question' : prompt, - 'bingResults' : results, - 'codeContext' : codeContext, + 'question': prompt, + 'bingResults': results, + 'codeContext': codeContext, 'options': { - 'skill' : models[model], - 'date' : datetime.now().strftime("%d/%m/%Y"), + 'skill': models[model], + 'date': datetime.now().strftime("%d/%m/%Y"), 'language': language, 'detailed': detailed, 'creative': creative @@ -221,65 +219,65 @@ class StreamingCompletion: '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) + 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'): - + 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 == '' : + if cf_clearance == '': raise ValueError('cf_clearance must be set, refer to documentation') - + if results is None: - results = Search.create(prompt, actualSearch = True) - + results = Search.create(prompt, actualSearch=True) + if len(codeContext) > 2999: raise ValueError('codeContext must be less than 3000 characters') - - Thread(target = StreamingCompletion.request, args = [ + + 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, + 'id': f'cmpl-1337-{int(time())}', + 'object': 'text_completion', + 'created': int(time()), + 'model': model, 'choices': [{ - 'text' : chunk, - 'index' : 0, - 'logprobs' : None, - 'finish_reason' : 'stop' - }], + 'text': chunk, + 'index': 0, + 'logprobs': None, + 'finish_reason': 'stop' + }], 'usage': { - 'prompt_tokens' : len(prompt), - 'completion_tokens' : len(chunk), - 'total_tokens' : len(prompt) + len(chunk) + 'prompt_tokens': len(prompt), + 'completion_tokens': len(chunk), + 'total_tokens': len(prompt) + len(chunk) } }) -- cgit v1.2.3