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tindevil
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한국투자증권(API)/examples_llm/domestic_stock/ksdinfo_sharehld_meet/chk_ksdinfo_sharehld_meet.py Normal file
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# -*- coding: utf-8 -*-
"""
Created on 2025-06-17
"""
import sys
import logging
import pandas as pd
sys.path.extend(['../..', '.']) # kis_auth 파일 경로 추가
import kis_auth as ka
from ksdinfo_sharehld_meet import ksdinfo_sharehld_meet
# 로깅 설정
logging.basicConfig(level=logging.INFO, format='%(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
##############################################################################################
# [국내주식] 종목정보 > 예탁원정보(주주총회일정)[국내주식-154]
##############################################################################################
# 통합 컬럼 매핑
COLUMN_MAPPING = {
'record_date': '기준일',
'sht_cd': '종목코드',
'gen_meet_dt': '주총일자',
'gen_meet_type': '주총사유',
'agenda': '주총의안',
'vote_tot_qty': '의결권주식총수'
}
NUMERIC_COLUMNS = []
def main():
"""
[국내주식] 종목정보
예탁원정보(주주총회일정)[국내주식-154]
예탁원정보(주주총회일정) 테스트 함수
Parameters:
- cts (str): CTS (공백)
- f_dt (str): 조회일자From (일자 ~)
- t_dt (str): 조회일자To (~ 일자)
- sht_cd (str): 종목코드 (공백: 전체, 특정종목 조회시 : 종목코드)
Returns:
- DataFrame: 예탁원정보(주주총회일정) 결과
Example:
>>> df = ksdinfo_sharehld_meet(cts="", f_dt="20230101", t_dt="20231231", sht_cd="")
"""
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
result = ksdinfo_sharehld_meet(
cts="", # CTS
f_dt="20230101", # 조회일자From
t_dt="20231231", # 조회일자To
sht_cd="", # 종목코드
)
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)
for col in NUMERIC_COLUMNS:
if col in result.columns:
result[col] = pd.to_numeric(result[col], errors='coerce').round(2)
# 결과 출력
logger.info("=== 예탁원정보(주주총회일정) 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_stock/ksdinfo_sharehld_meet/ksdinfo_sharehld_meet.py Normal file
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# [국내주식] 종목정보 - 예탁원정보(주주총회일정)
# Generated by KIS API Generator (Single API Mode)
# -*- coding: utf-8 -*-
"""
Created on 2025-06-17
"""
import logging
import time
from typing import Optional
import sys
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__)
##############################################################################################
# [국내주식] 종목정보 > 예탁원정보(주주총회일정)[국내주식-154]
##############################################################################################
# 상수 정의
API_URL = "/uapi/domestic-stock/v1/ksdinfo/sharehld-meet"
def ksdinfo_sharehld_meet(
cts: str, # CTS
f_dt: str, # 조회일자From
t_dt: str, # 조회일자To
sht_cd: str, # 종목코드
tr_cont: str = "",
dataframe: Optional[pd.DataFrame] = None,
depth: int = 0,
max_depth: int = 10
) -> Optional[pd.DataFrame]:
"""
[국내주식] 종목정보
예탁원정보(주주총회일정)[국내주식-154]
예탁원정보(주주총회일정) API를 호출하여 DataFrame으로 반환합니다.
Args:
cts (str): 공백
f_dt (str): 일자 ~
t_dt (str): ~ 일자
sht_cd (str): 공백: 전체, 특정종목 조회시 : 종목코드
tr_cont (str): 연속 거래 여부
dataframe (Optional[pd.DataFrame]): 누적 데이터프레임
depth (int): 현재 재귀 깊이
max_depth (int): 최대 재귀 깊이 (기본값: 10)
Returns:
Optional[pd.DataFrame]: 예탁원정보(주주총회일정) 데이터
Example:
>>> df = ksdinfo_sharehld_meet(" ", "20230101", "20231231", " ")
>>> print(df)
"""
# 로깅 설정
logger = logging.getLogger(__name__)
# 필수 파라미터 검증
if not f_dt:
logger.error("f_dt is required. (e.g. '20230101')")
raise ValueError("f_dt is required. (e.g. '20230101')")
if not t_dt:
logger.error("t_dt is required. (e.g. '20231231')")
raise ValueError("t_dt is required. (e.g. '20231231')")
# 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 = "HHKDB669111C0"
params = {
"CTS": cts,
"F_DT": f_dt,
"T_DT": t_dt,
"SHT_CD": sht_cd,
}
# API 호출
res = ka._url_fetch(API_URL, tr_id, tr_cont, params)
if res.isOK():
if hasattr(res.getBody(), 'output1'):
current_data = pd.DataFrame(res.getBody().output1)
else:
current_data = pd.DataFrame()
if dataframe is not None:
dataframe = pd.concat([dataframe, current_data], ignore_index=True)
else:
dataframe = current_data
tr_cont = res.getHeader().tr_cont
if tr_cont == "M":
logger.info("Calling next page...")
ka.smart_sleep()
return ksdinfo_sharehld_meet(
cts,
f_dt,
t_dt,
sht_cd,
"N", dataframe, depth + 1, max_depth
)
else:
logger.info("Data fetch complete.")
return dataframe
else:
logger.error("API call failed: %s - %s", res.getErrorCode(), res.getErrorMessage())
res.printError(API_URL)
return pd.DataFrame()