| import logging |
| import logging.handlers |
| import os |
| import sys |
|
|
| import requests |
| from constants import LOGDIR |
|
|
| server_error_msg = '**NETWORK ERROR DUE TO HIGH TRAFFIC. PLEASE REGENERATE OR REFRESH THIS PAGE.**' |
| moderation_msg = 'YOUR INPUT VIOLATES OUR CONTENT MODERATION GUIDELINES. PLEASE TRY AGAIN.' |
|
|
| handler = None |
|
|
|
|
| def build_logger(logger_name, logger_filename): |
| global handler |
|
|
| formatter = logging.Formatter( |
| fmt='%(asctime)s | %(levelname)s | %(name)s | %(message)s', |
| datefmt='%Y-%m-%d %H:%M:%S', |
| ) |
|
|
| |
| if not logging.getLogger().handlers: |
| logging.basicConfig(level=logging.INFO) |
| logging.getLogger().handlers[0].setFormatter(formatter) |
|
|
| |
| stdout_logger = logging.getLogger('stdout') |
| stdout_logger.setLevel(logging.INFO) |
| sl = StreamToLogger(stdout_logger, logging.INFO) |
| sys.stdout = sl |
|
|
| stderr_logger = logging.getLogger('stderr') |
| stderr_logger.setLevel(logging.ERROR) |
| sl = StreamToLogger(stderr_logger, logging.ERROR) |
| sys.stderr = sl |
|
|
| |
| logger = logging.getLogger(logger_name) |
| logger.setLevel(logging.INFO) |
|
|
| |
| if handler is None: |
| os.makedirs(LOGDIR, exist_ok=True) |
| filename = os.path.join(LOGDIR, logger_filename) |
| handler = logging.handlers.TimedRotatingFileHandler( |
| filename, when='D', utc=True) |
| handler.setFormatter(formatter) |
|
|
| for name, item in logging.root.manager.loggerDict.items(): |
| if isinstance(item, logging.Logger): |
| item.addHandler(handler) |
|
|
| return logger |
|
|
|
|
| class StreamToLogger(object): |
| """ |
| Fake file-like stream object that redirects writes to a logger instance. |
| """ |
| def __init__(self, logger, log_level=logging.INFO): |
| self.terminal = sys.stdout |
| self.logger = logger |
| self.log_level = log_level |
| self.linebuf = '' |
|
|
| def __getattr__(self, attr): |
| return getattr(self.terminal, attr) |
|
|
| def write(self, buf): |
| temp_linebuf = self.linebuf + buf |
| self.linebuf = '' |
| for line in temp_linebuf.splitlines(True): |
| |
| |
| |
| |
| |
| if line[-1] == '\n': |
| self.logger.log(self.log_level, line.rstrip()) |
| else: |
| self.linebuf += line |
|
|
| def flush(self): |
| if self.linebuf != '': |
| self.logger.log(self.log_level, self.linebuf.rstrip()) |
| self.linebuf = '' |
|
|
|
|
| def disable_torch_init(): |
| """ |
| Disable the redundant torch default initialization to accelerate model creation. |
| """ |
| import torch |
| setattr(torch.nn.Linear, 'reset_parameters', lambda self: None) |
| setattr(torch.nn.LayerNorm, 'reset_parameters', lambda self: None) |
|
|
|
|
| def violates_moderation(text): |
| """ |
| Check whether the text violates OpenAI moderation API. |
| """ |
| url = 'https://api.openai.com/v1/moderations' |
| headers = {'Content-Type': 'application/json', |
| 'Authorization': 'Bearer ' + os.environ['OPENAI_API_KEY']} |
| text = text.replace('\n', '') |
| data = '{' + '"input": ' + f'"{text}"' + '}' |
| data = data.encode('utf-8') |
| try: |
| ret = requests.post(url, headers=headers, data=data, timeout=5) |
| flagged = ret.json()['results'][0]['flagged'] |
| except requests.exceptions.RequestException as e: |
| flagged = False |
| except KeyError as e: |
| flagged = False |
|
|
| return flagged |
|
|
|
|
| def pretty_print_semaphore(semaphore): |
| if semaphore is None: |
| return 'None' |
| return f'Semaphore(value={semaphore._value}, locked={semaphore.locked()})' |
|
|