151 lines
5.3 KiB
Python
151 lines
5.3 KiB
Python
# [국내주식] 종목정보 - 국내주식 종목투자의견
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# Generated by KIS API Generator (Single API Mode)
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# -*- coding: utf-8 -*-
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"""
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Created on 2025-06-17
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"""
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import logging
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import sys
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import time
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from typing import Optional
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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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# [국내주식] 종목정보 > 국내주식 종목투자의견[국내주식-188]
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##############################################################################################
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# 상수 정의
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API_URL = "/uapi/domestic-stock/v1/quotations/invest-opinion"
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def invest_opinion(
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fid_cond_mrkt_div_code: str, # 조건시장분류코드
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fid_cond_scr_div_code: str, # 조건화면분류코드
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fid_input_iscd: str, # 입력종목코드
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fid_input_date_1: str, # 입력날짜1
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fid_input_date_2: str, # 입력날짜2
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tr_cont: str = "", # 연속 거래 여부
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dataframe: Optional[pd.DataFrame] = None, # 누적 데이터프레임
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depth: int = 0, # 현재 재귀 깊이
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max_depth: int = 10 # 최대 재귀 깊이
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) -> Optional[pd.DataFrame]:
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"""
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[국내주식] 종목정보
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국내주식 종목투자의견[국내주식-188]
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국내주식 종목투자의견 API를 호출하여 DataFrame으로 반환합니다.
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Args:
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fid_cond_mrkt_div_code (str): J(시장 구분 코드)
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fid_cond_scr_div_code (str): 16633(Primary key)
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fid_input_iscd (str): 종목코드(ex) 005930(삼성전자))
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fid_input_date_1 (str): 이후 ~(ex) 0020231113)
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fid_input_date_2 (str): ~ 이전(ex) 0020240513)
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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]: 국내주식 종목투자의견 데이터
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Example:
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>>> df = invest_opinion(
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... fid_cond_mrkt_div_code="J",
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... fid_cond_scr_div_code="16633",
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... fid_input_iscd="005930",
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... fid_input_date_1="20231113",
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... fid_input_date_2="20240513"
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... )
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>>> print(df)
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"""
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# 로깅 설정
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logger = logging.getLogger(__name__)
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# 필수 파라미터 검증
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if not fid_cond_mrkt_div_code:
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logger.error("fid_cond_mrkt_div_code is required. (e.g. 'J')")
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raise ValueError("fid_cond_mrkt_div_code is required. (e.g. 'J')")
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if not fid_cond_scr_div_code:
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logger.error("fid_cond_scr_div_code is required. (e.g. '16633')")
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raise ValueError("fid_cond_scr_div_code is required. (e.g. '16633')")
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if not fid_input_iscd:
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logger.error("fid_input_iscd is required. (e.g. '005930')")
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raise ValueError("fid_input_iscd is required. (e.g. '005930')")
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if not fid_input_date_1:
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logger.error("fid_input_date_1 is required. (e.g. '20231113')")
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raise ValueError("fid_input_date_1 is required. (e.g. '20231113')")
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if not fid_input_date_2:
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logger.error("fid_input_date_2 is required. (e.g. '20240513')")
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raise ValueError("fid_input_date_2 is required. (e.g. '20240513')")
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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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# API 호출 URL 및 거래 ID 설정
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tr_id = "FHKST663300C0"
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# 요청 파라미터 설정
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params = {
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"FID_COND_MRKT_DIV_CODE": fid_cond_mrkt_div_code,
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"FID_COND_SCR_DIV_CODE": fid_cond_scr_div_code,
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"FID_INPUT_ISCD": fid_input_iscd,
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"FID_INPUT_DATE_1": fid_input_date_1,
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"FID_INPUT_DATE_2": fid_input_date_2,
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}
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# API 호출
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res = ka._url_fetch(API_URL, tr_id, tr_cont, params)
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# API 응답 처리
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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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# 데이터프레임 병합
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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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# 연속 거래 여부 확인
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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 invest_opinion(
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fid_cond_mrkt_div_code,
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fid_cond_scr_div_code,
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fid_input_iscd,
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fid_input_date_1,
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fid_input_date_2,
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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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