ColossalAI/applications/ColossalQA/colossalqa/mylogging.py
YeAnbang e53e729d8e
[Feature] Add document retrieval QA (#5020)
* add langchain

* add langchain

* Add files via upload

* add langchain

* fix style

* fix style: remove extra space

* add pytest; modified retriever

* add pytest; modified retriever

* add tests to build_on_pr.yml

* fix build_on_pr.yml

* fix build on pr; fix environ vars

* seperate unit tests for colossalqa from build from pr

* fix container setting; fix environ vars

* commented dev code

* add incremental update

* remove stale code

* fix style

* change to sha3 224

* fix retriever; fix style; add unit test for document loader

* fix ci workflow config

* fix ci workflow config

* add set cuda visible device script in ci

* fix doc string

* fix style; update readme; refactored

* add force log info

* change build on pr, ignore colossalqa

* fix docstring, captitalize all initial letters

* fix indexing; fix text-splitter

* remove debug code, update reference

* reset previous commit

* update LICENSE update README add key-value mode, fix bugs

* add files back

* revert force push

* remove junk file

* add test files

* fix retriever bug, add intent classification

* change conversation chain design

* rewrite prompt and conversation chain

* add ui v1

* ui v1

* fix atavar

* add header

* Refactor the RAG Code and support Pangu

* Refactor the ColossalQA chain to Object-Oriented Programming and the UI demo.

* resolved conversation. tested scripts under examples. web demo still buggy

* fix ci tests

* Some modifications to add ChatGPT api

* modify llm.py and remove unnecessary files

* Delete applications/ColossalQA/examples/ui/test_frontend_input.json

* Remove OpenAI api key

* add colossalqa

* move files

* move files

* move files

* move files

* fix style

* Add Readme and fix some bugs.

* Add something to readme and modify some code

* modify a directory name for clarity

* remove redundant directory

* Correct a type in  llm.py

* fix AI prefix

* fix test_memory.py

* fix conversation

* fix some erros and typos

* Fix a missing import in RAG_ChatBot.py

* add colossalcloud LLM wrapper, correct issues in code review

---------

Co-authored-by: YeAnbang <anbangy2@outlook.com>
Co-authored-by: Orion-Zheng <zheng_zian@u.nus.edu>
Co-authored-by: Zian(Andy) Zheng <62330719+Orion-Zheng@users.noreply.github.com>
Co-authored-by: Orion-Zheng <zhengzian@u.nus.edu>
2023-11-23 10:33:48 +08:00

93 lines
2.6 KiB
Python

"""
Class for logging with extra control for debugging
"""
import logging
class ColossalQALogger:
"""This is a distributed event logger class essentially based on :class:`logging`.
Args:
name (str): The name of the logger.
Note:
Logging types: ``info``, ``warning``, ``debug`` and ``error``
"""
__instances = dict()
def __init__(self, name):
if name in ColossalQALogger.__instances:
raise ValueError("Logger with the same name has been created")
else:
self._name = name
self._logger = logging.getLogger(name)
ColossalQALogger.__instances[name] = self
@staticmethod
def get_instance(name: str):
"""Get the unique single logger instance based on name.
Args:
name (str): The name of the logger.
Returns:
DistributedLogger: A DistributedLogger object
"""
if name in ColossalQALogger.__instances:
return ColossalQALogger.__instances[name]
else:
logger = ColossalQALogger(name=name)
return logger
def info(self, message: str, verbose: bool = False) -> None:
"""Log an info message.
Args:
message (str): The message to be logged.
verbose (bool): Whether to print the message to stdout.
"""
if verbose:
logging.basicConfig(level=logging.INFO)
self._logger.info(message)
def warning(self, message: str, verbose: bool = False) -> None:
"""Log a warning message.
Args:
message (str): The message to be logged.
verbose (bool): Whether to print the message to stdout.
"""
if verbose:
self._logger.warning(message)
def debug(self, message: str, verbose: bool = False) -> None:
"""Log a debug message.
Args:
message (str): The message to be logged.
verbose (bool): Whether to print the message to stdout.
"""
if verbose:
self._logger.debug(message)
def error(self, message: str) -> None:
"""Log an error message.
Args:
message (str): The message to be logged.
"""
self._logger.error(message)
def get_logger(name: str = None, level=logging.INFO) -> ColossalQALogger:
"""
Get the logger by name, if name is None, return the default logger
"""
if name:
logger = ColossalQALogger.get_instance(name=name)
else:
logger = ColossalQALogger.get_instance(name="colossalqa")
return logger