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import datetime
import logging
import logging.handlers
import os
import sys
import requests
from llava.constants import LOGDIR
server_error_msg = "**由于高流量导致网络错误。请重新生成或刷新本页面。**"
moderation_msg = "您的输入违反了我们的内容审核准则。请重试。"
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",
)
# 设置根处理程序的格式
if not logging.getLogger().handlers:
logging.basicConfig(level=logging.INFO)
logging.getLogger().handlers[0].setFormatter(formatter)
# 将 stdout 和 stderr 重定向到日志记录器
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
# 获取日志
logger = logging.getLogger(logger_name)
logger.setLevel(logging.INFO)
# 为所有日志记录器添加文件处理程序
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):
"""
伪造的类文件流对象，用于将写入内容重定向到日志记录器实例。
"""
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):
# 来自 io.TextIOWrapper 的文档：
# On output, if newline is None, any '\n' characters written
# are translated to the system default line separator.
# 默认情况下，sys.stdout.write() 希望使用“\n”换行符然后再
# 翻译它们，所以这始终是跨平台的。
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():
"""
禁用多余的 torch 默认初始化，以加快模型创建速度。
"""
import torch
setattr(torch.nn.Linear, "reset_parameters", lambda self: None)
setattr(torch.nn.LayerNorm, "reset_parameters", lambda self: None)
def violates_moderation(text):
"""
检查文本是否违反 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()})"
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