adding all the changes
Browse files
app.py
CHANGED
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from io import StringIO
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import streamlit as st
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from loguru import logger
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class CoreClient:
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def generate(self, source: str, target: str, code: str):
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logger.info(f"translate {source} into {target}, with SQL {code}")
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return code
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st.set_page_config(
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page_title=' A SQL Generative Pre-trained Transformer',
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databases = ['Oracle', 'SQLServer', 'MySQL', 'DB2', 'PostgreSQL', 'Snowflake', 'Redshift']
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# -------------
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st.sidebar.header('π A SQL Transformer for Migration
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source_database = st.sidebar.selectbox(
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label='π Source Database',
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label=" π Choose a SQL file",
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accept_multiple_files=False)
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client = CoreClient()
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def transform():
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code = input_text
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source = source_database
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target = target_database
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if code:
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st.code(
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else:
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if input_file is not None:
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# To convert to a string based IO:
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stringio = StringIO(input_file.getvalue().decode("utf-8"))
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# To read file as string:
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sql = stringio.read()
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st.code(
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# ---------------------------------------
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from io import StringIO
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import streamlit as st
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from loguru import logger
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from client import OpenAIService, SQLService, FacebookLLAMAService, GoogleT5Service
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st.set_page_config(
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page_title=' A SQL Generative Pre-trained Transformer',
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databases = ['Oracle', 'SQLServer', 'MySQL', 'DB2', 'PostgreSQL', 'Snowflake', 'Redshift']
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# -------------
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st.sidebar.header('π A SQL Transformer for Migration')
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model = st.sidebar.radio('Model', ['openai-text-david-003', 'google-t5', 'facebook-llama'])
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source_database = st.sidebar.selectbox(
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label='π Source Database',
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label=" π Choose a SQL file",
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accept_multiple_files=False)
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def transform():
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client: SQLService = None
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if model == "openai-text-david-003":
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client = OpenAIService(st.secrets("OPEN-ORG"), st.secrets("OPEN-KEY"))
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elif model == "google-t5":
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client = GoogleT5Service()
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elif model == "facebook-llama":
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client = FacebookLLAMAService()
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logger.info(f"Using Model:{model}")
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code = input_text
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source = source_database
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target = target_database
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if code:
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solutions = client.translate(source, target, code)
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st.code(solutions[0], language='sql')
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else:
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if input_file is not None:
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# To convert to a string based IO:
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stringio = StringIO(input_file.getvalue().decode("utf-8"))
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# To read file as string:
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sql = stringio.read()
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solutions = client.translate(source, target, sql)
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st.code(solutions[0], language='sql')
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# ---------------------------------------
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client.py
ADDED
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from abc import ABC, abstractmethod
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from typing import List
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from loguru import logger
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import openai
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class SQLService(ABC):
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@abstractmethod
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def translate(self, source_db: str, target_db: str, sql: str) -> List:
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...
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class OpenAIService(SQLService):
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def __init__(self, organization, api_key) -> None:
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super().__init__()
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openai.organization = organization
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openai.api_key = api_key
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def translate(self, source_db: str, target_db: str, sql: str) -> List:
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results = []
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try:
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response = openai.Completion.create(
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model="text-davinci-003",
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prompt=f"##### Translate this function from Oracle into Postgresql\n"
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f"### {source_db}"
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f""
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f" {sql}"
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f""
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f"### {target_db}",
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temperature=0,
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max_tokens=2048,
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top_p=1,
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frequency_penalty=0,
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presence_penalty=0,
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stop=["###"]
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)
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for choice in response.choices:
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logger.info(f"transform {source_db} to {target_db}, SQL:")
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logger.debug(choice.text)
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results.append(choice.text)
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except Exception as ex:
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logger.error(f"transform from {source_db} to {target_db}, failed \n {sql}")
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logger.exception(ex)
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return results
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class GoogleT5Service(SQLService):
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def treanslate(self, source_db: str, target_db: str, sql: str) -> List:
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pass
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def __init__(self):
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...
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class FacebookLLAMAService(SQLService):
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def treanslate(self, source_db: str, target_db: str, sql: str) -> List:
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pass
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def __init__(self):
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...
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