70 lines
2.0 KiB
Python
70 lines
2.0 KiB
Python
import os
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from urllib.parse import quote_plus
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import pandas as pd
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import pymysql
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from dotenv import load_dotenv
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from sqlalchemy import create_engine
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class QuantCommon:
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def __init__(self):
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load_dotenv()
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self.user = os.getenv('DB_USER')
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self.pw = os.getenv('DB_PW')
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self.engine_for_pw = quote_plus(self.pw)
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self.host = os.getenv('DB_HOST')
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self.port = int(os.getenv('DB_PORT'))
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self.db = os.getenv('DB_DB')
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def create_engine(self):
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return create_engine(f'mysql+pymysql://{self.user}:{self.engine_for_pw}@{self.host}:{self.port}/{self.db}')
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def connect(self):
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return pymysql.connect(user=self.user,
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passwd=self.pw,
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host=self.host,
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port=self.port,
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db=self.db,
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charset='utf8')
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def get_ticker_list(self):
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engine = self.create_engine()
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try:
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ticker_list = pd.read_sql("""
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select * from kor_ticker
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where 기준일 = (select max(기준일) from kor_ticker)
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and 종목구분 = '보통주';
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""", con=engine)
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finally:
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engine.dispose()
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return ticker_list
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def get_value_list(self):
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engine = self.create_engine()
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try:
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value_list = pd.read_sql("""
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select * from kor_value
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where 기준일 = (select max(기준일) from kor_value);
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""", con=engine)
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finally:
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engine.dispose()
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return value_list
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def get_price_list(self, interval_month):
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engine = self.create_engine()
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try:
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price_list = pd.read_sql(f"""
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select 날짜, 종가, 종목코드
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from kor_price
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where 날짜 >= (select (select max(날짜) from kor_price) - interval {interval_month} month);
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""", con=engine)
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finally:
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engine.dispose()
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return price_list |