initial commit

한국투자증권(API)/examples_llm/domestic_stock/frgnmem_trade_estimate/chk_frgnmem_trade_estimate.py

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+"""
+Created on 20250601 
+"""
+
+import sys
+import logging
+
+import pandas as pd
+
+sys.path.extend(['../..', '.'])
+import kis_auth as ka
+from frgnmem_trade_estimate import frgnmem_trade_estimate
+
+# 로깅 설정
+logging.basicConfig(level=logging.INFO)
+
+##############################################################################################
+# [국내주식] 시세분석 > 외국계 매매종목 가집계 [국내주식-161]
+##############################################################################################
+
+COLUMN_MAPPING = {
+    'stck_shrn_iscd': '주식단축종목코드',
+    'hts_kor_isnm': 'HTS한글종목명',
+    'glob_ntsl_qty': '외국계순매도수량',
+    'stck_prpr': '주식현재가',
+    'prdy_vrss': '전일대비',
+    'prdy_vrss_sign': '전일대비부호',
+    'prdy_ctrt': '전일대비율',
+    'acml_vol': '누적거래량',
+    'glob_total_seln_qty': '외국계총매도수량',
+    'glob_total_shnu_qty': '외국계총매수2수량'
+}
+
+NUMERIC_COLUMNS = []
+
+
+def main():
+    """
+    외국계 매매종목 가집계 조회 테스트 함수
+    
+    이 함수는 외국계 매매종목 가집계 API를 호출하여 결과를 출력합니다.
+    
+    Returns:
+        None
+    """
+
+    # 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
+
+    # 인증 토큰 발급
+    ka.auth()
+
+    # case1 조회
+    logging.info("=== case1 조회 ===")
+    try:
+        result = frgnmem_trade_estimate(
+            fid_cond_mrkt_div_code="J",
+            fid_cond_scr_div_code="16441",
+            fid_input_iscd="0000",
+            fid_rank_sort_cls_code="0",
+            fid_rank_sort_cls_code_2="0"
+        )
+    except ValueError as e:
+        logging.error("에러 발생: %s" % str(e))
+        return
+
+    logging.info("사용 가능한 컬럼: %s", result.columns.tolist())
+
+    # 컬럼명 한글 변환 및 데이터 출력
+    result = result.rename(columns=COLUMN_MAPPING)
+
+    # 숫자형 컬럼 소수점 둘째자리까지 표시
+    for col in NUMERIC_COLUMNS:
+        if col in result.columns:
+            result[col] = pd.to_numeric(result[col], errors='coerce').round(2)
+
+    logging.info("결과:")
+    print(result)
+
+
+if __name__ == "__main__":
+    main()

한국투자증권(API)/examples_llm/domestic_stock/frgnmem_trade_estimate/frgnmem_trade_estimate.py

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+"""
+Created on 20250601 
+"""
+
+import sys
+import logging
+
+import pandas as pd
+
+sys.path.extend(['../..', '.'])
+import kis_auth as ka
+
+# 로깅 설정
+logging.basicConfig(level=logging.INFO)
+
+##############################################################################################
+# [국내주식] 시세분석 > 외국계 매매종목 가집계 [국내주식-161]
+##############################################################################################
+
+# 상수 정의
+API_URL = "/uapi/domestic-stock/v1/quotations/frgnmem-trade-estimate"
+
+
+def frgnmem_trade_estimate(
+        fid_cond_mrkt_div_code: str,
+        fid_cond_scr_div_code: str,
+        fid_input_iscd: str,
+        fid_rank_sort_cls_code: str,
+        fid_rank_sort_cls_code_2: str
+) -> pd.DataFrame:
+    """
+    외국계 매매종목 가집계 API입니다.
+    한국투자 HTS(eFriend Plus) > [0430] 외국계 매매종목 가집계 화면의 기능을 API로 개발한 사항으로, 해당 화면을 참고하시면 기능을 이해하기 쉽습니다.
+    
+    Args:
+        fid_cond_mrkt_div_code (str): [필수] 조건시장분류코드 (ex. J)
+        fid_cond_scr_div_code (str): [필수] 조건화면분류코드 (ex. 16441)
+        fid_input_iscd (str): [필수] 입력종목코드 (ex. 0000:전체, 1001:코스피, 2001:코스닥)
+        fid_rank_sort_cls_code (str): [필수] 순위정렬구분코드 (ex. 0:금액순, 1:수량순)
+        fid_rank_sort_cls_code_2 (str): [필수] 순위정렬구분코드2 (ex. 0:매수순, 1:매도순)
+        
+    Returns:
+        pd.DataFrame: 외국계 매매종목 가집계 데이터
+        
+    Example:
+        >>> df = frgnmem_trade_estimate("J", "16441", "0000", "0", "0")
+        >>> print(df)
+    """
+
+    if fid_cond_mrkt_div_code == "":
+        raise ValueError("fid_cond_mrkt_div_code is required (e.g. 'J')")
+
+    if fid_cond_scr_div_code == "":
+        raise ValueError("fid_cond_scr_div_code is required (e.g. '16441')")
+
+    if fid_input_iscd == "":
+        raise ValueError("fid_input_iscd is required (e.g. '0000')")
+
+    if fid_rank_sort_cls_code == "":
+        raise ValueError("fid_rank_sort_cls_code is required (e.g. '0')")
+
+    if fid_rank_sort_cls_code_2 == "":
+        raise ValueError("fid_rank_sort_cls_code_2 is required (e.g. '0')")
+
+    tr_id = "FHKST644100C0"
+
+    params = {
+        "FID_COND_MRKT_DIV_CODE": fid_cond_mrkt_div_code,
+        "FID_COND_SCR_DIV_CODE": fid_cond_scr_div_code,
+        "FID_INPUT_ISCD": fid_input_iscd,
+        "FID_RANK_SORT_CLS_CODE": fid_rank_sort_cls_code,
+        "FID_RANK_SORT_CLS_CODE_2": fid_rank_sort_cls_code_2
+    }
+
+    res = ka._url_fetch(API_URL, tr_id, "", params)
+
+    if res.isOK():
+        current_data = pd.DataFrame(res.getBody().output)
+        return current_data
+    else:
+        res.printError(url=API_URL)
+        return pd.DataFrame()