113 lines
3.5 KiB
Python
113 lines
3.5 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Created on 2025-06-30
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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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# [해외주식] 기본시세 > 해외주식 현재가상세[v1_해외주식-029]
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##############################################################################################
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# 상수 정의
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API_URL = "/uapi/overseas-price/v1/quotations/price-detail"
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def price_detail(
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auth: str, # 사용자권한정보
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excd: str, # 거래소명
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symb: 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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[해외주식] 기본시세
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해외주식 현재가상세[v1_해외주식-029]
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해외주식 현재가상세 API를 호출하여 DataFrame으로 반환합니다.
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Args:
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auth (str): 사용자권한정보
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excd (str): 거래소명 (예: HKS, NYS, NAS, AMS, TSE, SHS, SZS, SHI, SZI, HSX, HNX, BAY, BAQ, BAA)
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symb (str): 종목코드
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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]: 해외주식 현재가상세 데이터
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Example:
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>>> df = price_detail(auth="your_auth_token", excd="NAS", symb="TSLA")
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>>> print(df)
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"""
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# [필수 파라미터 검증]
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if not excd:
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logger.error("excd is required. (e.g. 'NAS')")
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raise ValueError("excd is required. (e.g. 'NAS')")
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if not symb:
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logger.error("symb is required. (e.g. 'TSLA')")
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raise ValueError("symb is required. (e.g. 'TSLA')")
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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 = "HHDFS76200200"
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params = {
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"AUTH": auth,
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"EXCD": excd,
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"SYMB": symb,
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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(), 'output'):
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output_data = res.getBody().output
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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 price_detail(
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auth,
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excd,
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symb,
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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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