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[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>
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61
applications/ColossalQA/colossalqa/utils.py
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61
applications/ColossalQA/colossalqa/utils.py
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import re
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from typing import Union
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from colossalqa.mylogging import get_logger
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from sqlalchemy import Engine, MetaData, create_engine
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from sqlalchemy.exc import SQLAlchemyError
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from sqlalchemy.ext.declarative import declarative_base
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logger = get_logger()
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def drop_table(engine: Engine) -> None:
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"""
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Drop all existing table
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"""
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Base = declarative_base()
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metadata = MetaData()
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metadata.reflect(bind=engine)
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for key in metadata.tables:
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table = metadata.tables[key]
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if table is not None:
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Base.metadata.drop_all(engine, [table], checkfirst=True)
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def create_empty_sql_database(database_uri):
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try:
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# Create an SQLAlchemy engine to connect to the database
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engine = create_engine(database_uri)
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# Create the database
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engine.connect()
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logger.info(f"Database created at {database_uri}")
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except SQLAlchemyError as e:
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logger.error(f"Error creating database: {str(e)}")
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return engine, database_uri
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def destroy_sql_database(sql_engine: Union[Engine, str]) -> None:
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"""
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Destroy an sql database
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"""
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if isinstance(sql_engine, str):
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sql_engine = create_engine(sql_engine)
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drop_table(sql_engine)
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sql_engine.dispose()
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sql_engine = None
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def detect_lang_naive(s):
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"""
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Naive function for language detection, should be replaced by an independant layer
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"""
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remove_nota = "[’·°–!\"#$%&'()*+,-./:;<=>?@,。?★、…【】()《》?“”‘’![\\]^_`{|}~]+"
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s = re.sub(remove_nota, "", s)
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s = re.sub("[0-9]", "", s).strip()
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res = re.sub("[a-zA-Z]", "", s).strip()
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if len(res) <= 0:
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return "en"
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else:
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return "zh"
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