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한국투자증권(API)/examples_llm/elw/quick_change/quick_change.py Normal file
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# -*- coding: utf-8 -*-
"""
Created on 2025-06-18
"""
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] ELW시세 - ELW 당일급변종목[국내주식-171]
##############################################################################################
# 상수 정의
API_URL = "/uapi/elw/v1/ranking/quick-change"
def quick_change(
fid_cond_mrkt_div_code: str, # 조건시장분류코드
fid_cond_scr_div_code: str, # 조건화면분류코드
fid_unas_input_iscd: str, # 기초자산입력종목코드
fid_input_iscd: str, # 발행사
fid_mrkt_cls_code: str, # 시장구분코드
fid_input_price_1: str, # 가격(이상)
fid_input_price_2: str, # 가격(이하)
fid_input_vol_1: str, # 거래량(이상)
fid_input_vol_2: str, # 거래량(이하)
fid_hour_cls_code: str, # 시간구분코드
fid_input_hour_1: str, # 입력 일 또는 분
fid_input_hour_2: str, # 기준시간(분 선택 시)
fid_rank_sort_cls_code: str, # 순위정렬구분코드
fid_blng_cls_code: str, # 결재방법
tr_cont: str = "",
dataframe: Optional[pd.DataFrame] = None,
depth: int = 0,
max_depth: int = 10
) -> Optional[pd.DataFrame]:
"""
[국내주식] ELW시세
ELW 당일급변종목[국내주식-171]
ELW 당일급변종목 API를 호출하여 DataFrame으로 반환합니다.
Args:
fid_cond_mrkt_div_code (str): 조건시장분류코드 (필수)
fid_cond_scr_div_code (str): 조건화면분류코드 (필수)
fid_unas_input_iscd (str): 기초자산입력종목코드 (필수)
fid_input_iscd (str): 발행사 (필수)
fid_mrkt_cls_code (str): 시장구분코드 (필수)
fid_input_price_1 (str): 가격(이상) (필수)
fid_input_price_2 (str): 가격(이하) (필수)
fid_input_vol_1 (str): 거래량(이상) (필수)
fid_input_vol_2 (str): 거래량(이하) (필수)
fid_hour_cls_code (str): 시간구분코드 (필수)
fid_input_hour_1 (str): 입력 일 또는 분 (필수)
fid_input_hour_2 (str): 기준시간(분 선택 시) (필수)
fid_rank_sort_cls_code (str): 순위정렬구분코드 (필수)
fid_blng_cls_code (str): 결재방법 (필수)
tr_cont (str): 연속 거래 여부 (옵션)
dataframe (Optional[pd.DataFrame]): 누적 데이터프레임 (옵션)
depth (int): 현재 재귀 깊이 (옵션)
max_depth (int): 최대 재귀 깊이 (기본값: 10)
Returns:
Optional[pd.DataFrame]: ELW 당일급변종목 데이터
Example:
>>> df = quick_change(
... fid_cond_mrkt_div_code='W',
... fid_cond_scr_div_code='20287',
... fid_unas_input_iscd='000000',
... fid_input_iscd='00000',
... fid_mrkt_cls_code='A',
... fid_input_price_1='1000',
... fid_input_price_2='5000',
... fid_input_vol_1='10000',
... fid_input_vol_2='50000',
... fid_hour_cls_code='1',
... fid_input_hour_1='10',
... fid_input_hour_2='30',
... fid_rank_sort_cls_code='1',
... fid_blng_cls_code='0'
... )
>>> 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. 'W')")
raise ValueError("fid_cond_mrkt_div_code is required. (e.g. 'W')")
if not fid_cond_scr_div_code:
logger.error("fid_cond_scr_div_code is required. (e.g. '20287')")
raise ValueError("fid_cond_scr_div_code is required. (e.g. '20287')")
if not fid_unas_input_iscd:
logger.error("fid_unas_input_iscd is required. (e.g. '000000')")
raise ValueError("fid_unas_input_iscd is required. (e.g. '000000')")
if not fid_input_iscd:
logger.error("fid_input_iscd is required. (e.g. '00000')")
raise ValueError("fid_input_iscd is required. (e.g. '00000')")
if not fid_mrkt_cls_code:
logger.error("fid_mrkt_cls_code is required. (e.g. 'A')")
raise ValueError("fid_mrkt_cls_code is required. (e.g. 'A')")
if not fid_hour_cls_code:
logger.error("fid_hour_cls_code is required. (e.g. '1')")
raise ValueError("fid_hour_cls_code is required. (e.g. '1')")
if not fid_rank_sort_cls_code:
logger.error("fid_rank_sort_cls_code is required. (e.g. '1')")
raise ValueError("fid_rank_sort_cls_code is required. (e.g. '1')")
if not fid_blng_cls_code:
logger.error("fid_blng_cls_code is required. (e.g. '0')")
raise ValueError("fid_blng_cls_code is required. (e.g. '0')")
# 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 = "FHPEW02870000"
params = {
"FID_COND_MRKT_DIV_CODE": fid_cond_mrkt_div_code,
"FID_COND_SCR_DIV_CODE": fid_cond_scr_div_code,
"FID_UNAS_INPUT_ISCD": fid_unas_input_iscd,
"FID_INPUT_ISCD": fid_input_iscd,
"FID_MRKT_CLS_CODE": fid_mrkt_cls_code,
"FID_INPUT_PRICE_1": fid_input_price_1,
"FID_INPUT_PRICE_2": fid_input_price_2,
"FID_INPUT_VOL_1": fid_input_vol_1,
"FID_INPUT_VOL_2": fid_input_vol_2,
"FID_HOUR_CLS_CODE": fid_hour_cls_code,
"FID_INPUT_HOUR_1": fid_input_hour_1,
"FID_INPUT_HOUR_2": fid_input_hour_2,
"FID_RANK_SORT_CLS_CODE": fid_rank_sort_cls_code,
"FID_BLNG_CLS_CODE": fid_blng_cls_code,
}
# API 호출
res = ka._url_fetch(API_URL, tr_id, tr_cont, params)
if res.isOK():
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()
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 quick_change(
fid_cond_mrkt_div_code,
fid_cond_scr_div_code,
fid_unas_input_iscd,
fid_input_iscd,
fid_mrkt_cls_code,
fid_input_price_1,
fid_input_price_2,
fid_input_vol_1,
fid_input_vol_2,
fid_hour_cls_code,
fid_input_hour_1,
fid_input_hour_2,
fid_rank_sort_cls_code,
fid_blng_cls_code,
"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()