AiGPT-4O / utils.py
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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',
)
# Set the format of root handlers
if not logging.getLogger().handlers:
logging.basicConfig(level=logging.INFO)
logging.getLogger().handlers[0].setFormatter(formatter)
# Redirect stdout and stderr to loggers
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
# Get logger
logger = logging.getLogger(logger_name)
logger.setLevel(logging.INFO)
# Add a file handler for all loggers
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):
# From the io.TextIOWrapper docs:
# On output, if newline is None, any '\n' characters written
# are translated to the system default line separator.
# By default sys.stdout.write() expects '\n' newlines and then
# translates them so this is still cross platform.
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()})'