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한국투자증권(API)/examples_llm/domestic_bond/inquire_daily_price/chk_inquire_daily_price.py Normal file
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# -*- coding: utf-8 -*-
"""
Created on 2025-06-19
"""
import sys
import logging
import pandas as pd
sys.path.extend(['../..', '.']) # kis_auth 파일 경로 추가
import kis_auth as ka
from inquire_daily_price import inquire_daily_price
# 로깅 설정
logging.basicConfig(level=logging.INFO, format='%(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
##############################################################################################
# [장내채권] 기본시세 > 장내채권현재가(일별) [국내주식-202]
##############################################################################################
COLUMN_MAPPING = {
'output1': '응답상세',
'stck_bsop_date': '주식영업일자',
'bond_prpr': '채권현재가',
'bond_prdy_vrss': '채권전일대비',
'prdy_vrss_sign': '전일대비부호',
'prdy_ctrt': '전일대비율',
'acml_vol': '누적거래량',
'bond_oprc': '채권시가2',
'bond_hgpr': '채권고가',
'bond_lwpr': '채권저가'
}
NUMERIC_COLUMNS = []
def main():
"""
[장내채권] 기본시세
장내채권현재가(일별)[국내주식-202]
장내채권현재가(일별) 테스트 함수
Parameters:
- fid_cond_mrkt_div_code (str): 조건시장분류코드 (B (업종코드))
- fid_input_iscd (str): 입력종목코드 (채권종목코드(ex KR2033022D33))
Returns:
- DataFrame: 장내채권현재가(일별) 결과
Example:
>>> df = inquire_daily_price(fid_cond_mrkt_div_code="B", fid_input_iscd="KR2033022D33")
"""
try:
# pandas 출력 옵션 설정
pd.set_option('display.max_columns', None) # 모든 컬럼 표시
pd.set_option('display.width', None) # 출력 너비 제한 해제
pd.set_option('display.max_rows', None) # 모든 행 표시
# 토큰 발급
logger.info("토큰 발급 중...")
ka.auth()
logger.info("토큰 발급 완료")
# API 호출
logger.info("API 호출 시작: 장내채권현재가(일별)")
result = inquire_daily_price(
fid_cond_mrkt_div_code="B", # 조건시장분류코드
fid_input_iscd="KR6095572D81", # 입력종목코드
)
if result is None or result.empty:
logger.warning("조회된 데이터가 없습니다.")
return
# 컬럼명 출력
logger.info("사용 가능한 컬럼 목록:")
logger.info(result.columns.tolist())
# 한글 컬럼명으로 변환
result = result.rename(columns=COLUMN_MAPPING)
# 숫자형 컬럼 변환
for col in NUMERIC_COLUMNS:
if col in result.columns:
result[col] = pd.to_numeric(result[col], errors='coerce')
# 결과 출력
logger.info("=== 장내채권현재가(일별) 결과 ===")
logger.info("조회된 데이터 건수: %d", len(result))
print(result)
except Exception as e:
logger.error("에러 발생: %s", str(e))
raise
if __name__ == "__main__":
main()

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한국투자증권(API)/examples_llm/domestic_bond/inquire_daily_price/inquire_daily_price.py Normal file
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# [장내채권] 기본시세 - 장내채권현재가(일별)
# Generated by KIS API Generator (Single API Mode)
# -*- coding: utf-8 -*-
"""
Created on 2025-06-19
"""
import logging
import sys
import time
from typing import Optional
import pandas as pd
sys.path.extend(['../..', '.'])
import kis_auth as ka
# 로깅 설정
logging.basicConfig(level=logging.INFO, format='%(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
##############################################################################################
# [장내채권] 기본시세 > 장내채권현재가(일별) [국내주식-202]
##############################################################################################
# 상수 정의
API_URL = "/uapi/domestic-bond/v1/quotations/inquire-daily-price"
def inquire_daily_price(
fid_cond_mrkt_div_code: str, # 조건시장분류코드
fid_input_iscd: str, # 입력종목코드
tr_cont: str = "", # 연속 거래 여부
dataframe: Optional[pd.DataFrame] = None, # 누적 데이터프레임
depth: int = 0, # 현재 재귀 깊이
max_depth: int = 10 # 최대 재귀 깊이
) -> Optional[pd.DataFrame]:
"""
[장내채권] 기본시세
장내채권현재가(일별)[국내주식-202]
장내채권현재가(일별) API를 호출하여 DataFrame으로 반환합니다.
Args:
fid_cond_mrkt_div_code (str): 조건시장분류코드 (예: 'B')
fid_input_iscd (str): 입력종목코드 (예: 'KR2033022D33')
tr_cont (str): 연속 거래 여부 (기본값: "")
dataframe (Optional[pd.DataFrame]): 누적 데이터프레임 (기본값: None)
depth (int): 현재 재귀 깊이 (기본값: 0)
max_depth (int): 최대 재귀 깊이 (기본값: 10)
Returns:
Optional[pd.DataFrame]: 장내채권현재가(일별) 데이터
Example:
>>> df = inquire_daily_price('B', 'KR2033022D33')
>>> print(df)
"""
# 로깅 설정
logger = logging.getLogger(__name__)
# 필수 파라미터 검증
if not fid_cond_mrkt_div_code:
logger.error("fid_cond_mrkt_div_code is required. (e.g. 'B')")
raise ValueError("fid_cond_mrkt_div_code is required. (e.g. 'B')")
if not fid_input_iscd:
logger.error("fid_input_iscd is required. (e.g. 'KR2033022D33')")
raise ValueError("fid_input_iscd is required. (e.g. 'KR2033022D33')")
# 최대 재귀 깊이 체크
if depth >= max_depth:
logger.warning("Maximum recursion depth (%d) reached. Stopping further requests.", max_depth)
return dataframe if dataframe is not None else pd.DataFrame()
tr_id = "FHKBJ773404C0"
params = {
"FID_COND_MRKT_DIV_CODE": fid_cond_mrkt_div_code,
"FID_INPUT_ISCD": fid_input_iscd,
}
# API 호출
res = ka._url_fetch(API_URL, tr_id, tr_cont, params)
if res.isOK():
# 응답 데이터 처리
if hasattr(res.getBody(), 'output'):
output_data = res.getBody().output
if not isinstance(output_data, list):
output_data = [output_data]
current_data = pd.DataFrame(output_data)
else:
current_data = pd.DataFrame()
# 데이터프레임 병합
if dataframe is not None:
dataframe = pd.concat([dataframe, current_data], ignore_index=True)
else:
dataframe = current_data
# 연속 거래 여부 확인
tr_cont = res.getHeader().tr_cont
if tr_cont == "M":
logger.info("Calling next page...")
ka.smart_sleep()
return inquire_daily_price(
fid_cond_mrkt_div_code,
fid_input_iscd,
"N", dataframe, depth + 1, max_depth
)
else:
logger.info("Data fetch complete.")
return dataframe
else:
# API 에러 처리
logger.error("API call failed: %s - %s", res.getErrorCode(), res.getErrorMessage())
res.printError(API_URL)
return pd.DataFrame()