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Diffstat (limited to 'phind/__init__.py')
| -rw-r--r-- | phind/__init__.py | 145 |
1 files changed, 145 insertions, 0 deletions
diff --git a/phind/__init__.py b/phind/__init__.py new file mode 100644 index 00000000..83a6840a --- /dev/null +++ b/phind/__init__.py @@ -0,0 +1,145 @@ +from urllib.parse import quote +from tls_client import Session +from time import time +from datetime import datetime + +client = Session(client_identifier='chrome110') +client.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', + 'origin': 'https://www.phind.com', + 'referer': 'https://www.phind.com/search', + 'sec-ch-ua': '"Chromium";v="110", "Google Chrome";v="110", "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': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 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 = [self.Choices(choice) for choice in 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 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': [] + } + } + } + + return client.post('https://www.phind.com/api/bing/search', 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 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 + } + } + + completion = '' + response = client.post('https://www.phind.com/api/infer/answer', json=json_data, timeout_seconds=200) + 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) + } + })
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