136 lines
5.2 KiB
Python
136 lines
5.2 KiB
Python
"""
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Created on 2025-06-17
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"""
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import logging
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import time
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from typing import Optional, Tuple
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import sys
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import pandas as pd
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sys.path.extend(['../..', '.'])
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import kis_auth as ka
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# 로깅 설정
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logging.basicConfig(level=logging.INFO, format='%(levelname)s - %(message)s')
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logger = logging.getLogger(__name__)
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##############################################################################################
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# [국내주식] 업종/기타 > 금리 종합(국내채권_금리)[국내주식-155]
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##############################################################################################
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# 상수 정의
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API_URL = "/uapi/domestic-stock/v1/quotations/comp-interest"
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def comp_interest(
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fid_cond_mrkt_div_code: str, # 조건시장분류코드
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fid_cond_scr_div_code: str, # 조건화면분류코드
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fid_div_cls_code: str, # 분류구분코드
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fid_div_cls_code1: str, # 분류구분코드
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dataframe1: Optional[pd.DataFrame] = None, # 누적 데이터프레임 (output1)
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dataframe2: Optional[pd.DataFrame] = None, # 누적 데이터프레임 (output2)
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tr_cont: str = "",
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depth: int = 0,
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max_depth: int = 10
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) -> Tuple[pd.DataFrame, pd.DataFrame]:
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"""
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[국내주식] 업종/기타
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금리 종합(국내채권_금리)[국내주식-155]
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금리 종합(국내채권_금리) API를 호출하여 DataFrame으로 반환합니다.
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Args:
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fid_cond_mrkt_div_code (str): 조건시장분류코드 (필수)
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fid_cond_scr_div_code (str): 조건화면분류코드 (필수)
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fid_div_cls_code (str): 분류구분코드 (필수)
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fid_div_cls_code1 (str): 분류구분코드 (공백 허용)
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dataframe1 (Optional[pd.DataFrame]): 누적 데이터프레임 (output1)
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dataframe2 (Optional[pd.DataFrame]): 누적 데이터프레임 (output2)
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tr_cont (str): 연속 거래 여부
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depth (int): 현재 재귀 깊이
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max_depth (int): 최대 재귀 깊이 (기본값: 10)
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Returns:
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Tuple[pd.DataFrame, pd.DataFrame]: 금리 종합(국내채권_금리) 데이터
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Example:
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>>> df1, df2 = comp_interest('01', '20702', '1', '')
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>>> print(df1)
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>>> print(df2)
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"""
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# 로깅 설정
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logger = logging.getLogger(__name__)
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# 필수 파라미터 검증
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if not fid_cond_mrkt_div_code:
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logger.error("fid_cond_mrkt_div_code is required. (e.g. '01')")
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raise ValueError("fid_cond_mrkt_div_code is required. (e.g. '01')")
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if not fid_cond_scr_div_code:
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logger.error("fid_cond_scr_div_code is required. (e.g. '20702')")
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raise ValueError("fid_cond_scr_div_code is required. (e.g. '20702')")
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if not fid_div_cls_code:
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logger.error("fid_div_cls_code is required. (e.g. '1')")
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raise ValueError("fid_div_cls_code is required. (e.g. '1')")
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# 최대 재귀 깊이 체크
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if depth >= max_depth:
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logger.warning("Maximum recursion depth (%d) reached. Stopping further requests.", max_depth)
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return dataframe1 if dataframe1 is not None else pd.DataFrame(), dataframe2 if dataframe2 is not None else pd.DataFrame()
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tr_id = "FHPST07020000"
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params = {
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"FID_COND_MRKT_DIV_CODE": fid_cond_mrkt_div_code,
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"FID_COND_SCR_DIV_CODE": fid_cond_scr_div_code,
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"FID_DIV_CLS_CODE": fid_div_cls_code,
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"FID_DIV_CLS_CODE1": fid_div_cls_code1,
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}
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# API 호출
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res = ka._url_fetch(API_URL, tr_id, tr_cont, params)
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if res.isOK():
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# output1 처리
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if hasattr(res.getBody(), 'output1'):
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output_data = res.getBody().output1
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if output_data:
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current_data1 = pd.DataFrame(output_data if isinstance(output_data, list) else [output_data])
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dataframe1 = pd.concat([dataframe1, current_data1],
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ignore_index=True) if dataframe1 is not None else current_data1
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else:
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dataframe1 = dataframe1 if dataframe1 is not None else pd.DataFrame()
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# output2 처리
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if hasattr(res.getBody(), 'output2'):
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output_data = res.getBody().output2
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if output_data:
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current_data2 = pd.DataFrame(output_data if isinstance(output_data, list) else [output_data])
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dataframe2 = pd.concat([dataframe2, current_data2],
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ignore_index=True) if dataframe2 is not None else current_data2
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else:
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dataframe2 = dataframe2 if dataframe2 is not None else pd.DataFrame()
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tr_cont = res.getHeader().tr_cont
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if tr_cont in ["M", "F"]:
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logger.info("Calling next page...")
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ka.smart_sleep()
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return comp_interest(
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fid_cond_mrkt_div_code,
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fid_cond_scr_div_code,
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fid_div_cls_code,
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fid_div_cls_code1,
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"N", dataframe1, dataframe2, depth + 1, max_depth
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)
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else:
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logger.info("Data fetch complete.")
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return dataframe1, dataframe2
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else:
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logger.error("API call failed: %s - %s", res.getErrorCode(), res.getErrorMessage())
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res.printError(API_URL)
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return pd.DataFrame(), pd.DataFrame()
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