initial commit

2026-01-31 22:34:57 +09:00
commit f1301de543
875 changed files with 196598 additions and 0 deletions
--- a/한국투자증권(API)/examples_llm/domestic_stock/volume_power/volume_power.py
+++ b/한국투자증권(API)/examples_llm/domestic_stock/volume_power/volume_power.py
@@ -0,0 +1,155 @@
+# DOMSTK_RANK - 국내주식 체결강도 상위
+# Generated by KIS API Generator (Single API Mode)
+import logging
+import sys
+import time
+from typing import Optional
+
+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] 순위분석 > 국내주식 체결강도 상위[v1_국내주식-101]
+##############################################################################################
+
+# 상수 정의
+API_URL = "/uapi/domestic-stock/v1/ranking/volume-power"
+
+def volume_power(
+        fid_trgt_exls_cls_code: str,  # 대상 제외 구분 코드
+        fid_cond_mrkt_div_code: str,  # 조건 시장 분류 코드
+        fid_cond_scr_div_code: str,  # 조건 화면 분류 코드
+        fid_input_iscd: str,  # 입력 종목코드
+        fid_div_cls_code: str,  # 분류 구분 코드
+        fid_input_price_1: str,  # 입력 가격1
+        fid_input_price_2: str,  # 입력 가격2
+        fid_vol_cnt: str,  # 거래량 수
+        fid_trgt_cls_code: str,  # 대상 구분 코드
+        tr_cont: str = "",
+        dataframe: Optional[pd.DataFrame] = None,
+        depth: int = 0,
+        max_depth: int = 10
+) -> Optional[pd.DataFrame]:
+    """
+    [국내주식] 순위분석 
+    국내주식 체결강도 상위[v1_국내주식-101]
+    국내주식 체결강도 상위 API를 호출하여 DataFrame으로 반환합니다.
+    
+    Args:
+        fid_trgt_exls_cls_code (str): 0 : 전체
+        fid_cond_mrkt_div_code (str): 시장구분코드 (J:KRX, NX:NXT)
+        fid_cond_scr_div_code (str): Unique key( 20168 )
+        fid_input_iscd (str): 0000:전체, 0001:거래소, 1001:코스닥, 2001:코스피200
+        fid_div_cls_code (str): 0: 전체,  1: 보통주 2: 우선주
+        fid_input_price_1 (str): 입력값 없을때 전체 (가격 ~)
+        fid_input_price_2 (str): 입력값 없을때 전체 (~ 가격)
+        fid_vol_cnt (str): 입력값 없을때 전체 (거래량 ~)
+        fid_trgt_cls_code (str): 0 : 전체
+        tr_cont (str): 연속 거래 여부
+        dataframe (Optional[pd.DataFrame]): 누적 데이터프레임
+        depth (int): 현재 재귀 깊이
+        max_depth (int): 최대 재귀 깊이 (기본값: 10)
+        
+    Returns:
+        Optional[pd.DataFrame]: 국내주식 체결강도 상위 데이터
+        
+    Example:
+        >>> df = volume_power(
+        ...     fid_trgt_exls_cls_code="0",
+        ...     fid_cond_mrkt_div_code="J",
+        ...     fid_cond_scr_div_code="20168",
+        ...     fid_input_iscd="0000",
+        ...     fid_div_cls_code="0",
+        ...     fid_input_price_1="",
+        ...     fid_input_price_2="",
+        ...     fid_vol_cnt="",
+        ...     fid_trgt_cls_code="0"
+        ... )
+        >>> print(df)
+    """
+    # 필수 파라미터 검증
+    if not fid_trgt_exls_cls_code:
+        logger.error("fid_trgt_exls_cls_code is required. (e.g. '0')")
+        raise ValueError("fid_trgt_exls_cls_code is required. (e.g. '0')")
+    if fid_cond_mrkt_div_code != "J":
+        logger.error("fid_cond_mrkt_div_code must be 'J'.")
+        raise ValueError("fid_cond_mrkt_div_code must be 'J'.")
+    if fid_cond_scr_div_code != "20168":
+        logger.error("fid_cond_scr_div_code must be '20168'.")
+        raise ValueError("fid_cond_scr_div_code must be '20168'.")
+    if fid_input_iscd not in ["0000", "0001", "1001", "2001"]:
+        logger.error("fid_input_iscd must be one of ['0000', '0001', '1001', '2001'].")
+        raise ValueError("fid_input_iscd must be one of ['0000', '0001', '1001', '2001'].")
+    if fid_div_cls_code not in ["0", "1", "2"]:
+        logger.error("fid_div_cls_code must be one of ['0', '1', '2'].")
+        raise ValueError("fid_div_cls_code must be one of ['0', '1', '2'].")
+    if not fid_trgt_cls_code:
+        logger.error("fid_trgt_cls_code is required. (e.g. '0')")
+        raise ValueError("fid_trgt_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 = "FHPST01680000"
+
+    params = {
+        "fid_trgt_exls_cls_code": fid_trgt_exls_cls_code,
+        "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_div_cls_code": fid_div_cls_code,
+        "fid_input_price_1": fid_input_price_1,
+        "fid_input_price_2": fid_input_price_2,
+        "fid_vol_cnt": fid_vol_cnt,
+        "fid_trgt_cls_code": fid_trgt_cls_code,
+    }
+
+    # API 호출
+    res = ka._url_fetch(API_URL, tr_id, tr_cont, params)
+
+    if res.isOK():
+        # 응답 데이터 처리
+        if hasattr(res.getBody(), 'output'):
+            current_data = pd.DataFrame(res.getBody().output)
+        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 volume_power(
+                fid_trgt_exls_cls_code,
+                fid_cond_mrkt_div_code,
+                fid_cond_scr_div_code,
+                fid_input_iscd,
+                fid_div_cls_code,
+                fid_input_price_1,
+                fid_input_price_2,
+                fid_vol_cnt,
+                fid_trgt_cls_code,
+                "N", dataframe, depth + 1, max_depth
+            )
+        else:
+            logger.info("Data fetch complete.")
+            return dataframe
+    else:
+        # API 에러 처리
+        logger.error("API call failed: %s - %s", res.getErrorCode(), res.getErrorMessage())
+        res.printError(API_URL)
+        return pd.DataFrame()