102 lines
3.1 KiB
Python
102 lines
3.1 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Created on 2025-07-02
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"""
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import logging
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import time
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from typing import Optional
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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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# [해외선물옵션] 기본시세 > 해외선물종목현재가 [v1_해외선물-009]
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##############################################################################################
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# API 정보
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API_URL = "/uapi/overseas-futureoption/v1/quotations/inquire-price"
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def inquire_price(
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srs_cd: str, # 종목코드
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tr_cont: str = "",
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dataframe: Optional[pd.DataFrame] = None,
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depth: int = 0,
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max_depth: int = 10
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) -> Optional[pd.DataFrame]:
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"""
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[해외선물옵션] 기본시세
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해외선물종목현재가[v1_해외선물-009]
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해외선물종목현재가 API를 호출하여 DataFrame으로 반환합니다.
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Args:
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srs_cd (str): 종목코드 (예: CNHU24)
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tr_cont (str): 연속 거래 여부
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dataframe (Optional[pd.DataFrame]): 누적 데이터프레임
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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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Optional[pd.DataFrame]: 해외선물종목현재가 데이터
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Example:
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>>> df = inquire_price(srs_cd="CNHU24")
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>>> print(df)
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"""
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# 필수 파라미터 검증
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if not srs_cd:
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logger.error("srs_cd is required. (e.g. 'CNHU24')")
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raise ValueError("srs_cd is required. (e.g. 'CNHU24')")
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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 dataframe if dataframe is not None else pd.DataFrame()
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tr_id = "HHDFC55010000"
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params = {
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"SRS_CD": srs_cd,
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}
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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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if hasattr(res.getBody(), 'output1'):
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output_data = res.getBody().output1
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if not isinstance(output_data, list):
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output_data = [output_data]
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current_data = pd.DataFrame(output_data)
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else:
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current_data = pd.DataFrame()
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if dataframe is not None:
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dataframe = pd.concat([dataframe, current_data], ignore_index=True)
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else:
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dataframe = current_data
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tr_cont = res.getHeader().tr_cont
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if tr_cont == "M":
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logger.info("Calling next page...")
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ka.smart_sleep()
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return inquire_price(
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srs_cd,
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"N", dataframe, 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 dataframe
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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()
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