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