| | 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()})' |
| |
|