initial commit

2026-02-04 00:16:34 +09:00
commit ae11528dd9
867 changed files with 209640 additions and 0 deletions
--- a/한국투자증권(API)/examples_llm/domestic_bond/avg_unit/avg_unit.py
+++ b/한국투자증권(API)/examples_llm/domestic_bond/avg_unit/avg_unit.py
@@ -0,0 +1,171 @@
+# [장내채권] 기본시세 - 장내채권 평균단가조회
+# Generated by KIS API Generator (Single API Mode)
+# -*- coding: utf-8 -*-
+"""
+Created on 2025-06-19
+
+"""
+
+import logging
+import time
+import sys
+from typing import Optional, Tuple
+
+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__)
+
+##############################################################################################
+# [장내채권] 기본시세 > 장내채권 평균단가조회 [국내채권-158]
+##############################################################################################
+
+# 상수 정의
+API_URL = "/uapi/domestic-bond/v1/quotations/avg-unit"
+
+def avg_unit(
+        inqr_strt_dt: str,  # 조회시작일자
+        inqr_end_dt: str,  # 조회종료일자
+        pdno: str,  # 상품번호
+        prdt_type_cd: str,  # 상품유형코드
+        vrfc_kind_cd: str,  # 검증종류코드
+        NK30: str = "",  # 연속조회키30
+        FK100: str = "",  # 연속조회검색조건100
+        dataframe1: Optional[pd.DataFrame] = None,  # 누적 데이터프레임 (output1)
+        dataframe2: Optional[pd.DataFrame] = None,  # 누적 데이터프레임 (output2)
+        dataframe3: Optional[pd.DataFrame] = None,  # 누적 데이터프레임 (output3)
+        tr_cont: str = "",
+        depth: int = 0,
+        max_depth: int = 10
+) -> Tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame]:
+    """
+    [장내채권] 기본시세 
+    장내채권 평균단가조회[국내주식-158]
+    장내채권 평균단가조회 API를 호출하여 DataFrame으로 반환합니다.
+    
+    Args:
+        inqr_strt_dt (str): 조회 시작 일자 (예: '20230101')
+        inqr_end_dt (str): 조회 종료 일자 (예: '20230131')
+        pdno (str): 상품번호, 공백: 전체, 특정종목 조회시 : 종목코드
+        prdt_type_cd (str): 상품유형코드 (예: '302')
+        vrfc_kind_cd (str): 검증종류코드 (예: '00')
+        NK30 (str): 연속조회키30, 공백 허용
+        FK100 (str): 연속조회검색조건100, 공백 허용
+        dataframe1 (Optional[pd.DataFrame]): 누적 데이터프레임 (output1)
+        dataframe2 (Optional[pd.DataFrame]): 누적 데이터프레임 (output2)
+        dataframe3 (Optional[pd.DataFrame]): 누적 데이터프레임 (output3)
+        tr_cont (str): 연속 거래 여부
+        depth (int): 현재 재귀 깊이
+        max_depth (int): 최대 재귀 깊이 (기본값: 10)
+        
+    Returns:
+        Tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame]: 장내채권 평균단가조회 데이터
+        
+    Example:
+        >>> df1, df2, df3 = avg_unit(
+        ...     inqr_strt_dt='20230101',
+        ...     inqr_end_dt='20230131',
+        ...     pdno='KR2033022D33',
+        ...     prdt_type_cd='302',
+        ...     vrfc_kind_cd='00',
+        ... )
+        >>> print(df1)
+        >>> print(df2)
+        >>> print(df3)
+    """
+    # 필수 파라미터 검증
+    if not inqr_strt_dt:
+        logger.error("inqr_strt_dt is required. (e.g. '20230101')")
+        raise ValueError("inqr_strt_dt is required. (e.g. '20230101')")
+
+    if not inqr_end_dt:
+        logger.error("inqr_end_dt is required. (e.g. '20230131')")
+        raise ValueError("inqr_end_dt is required. (e.g. '20230131')")
+
+    if not prdt_type_cd:
+        logger.error("prdt_type_cd is required. (e.g. '302')")
+        raise ValueError("prdt_type_cd is required. (e.g. '302')")
+
+    if not vrfc_kind_cd:
+        logger.error("vrfc_kind_cd is required. (e.g. '00')")
+        raise ValueError("vrfc_kind_cd is required. (e.g. '00')")
+
+    # 최대 재귀 깊이 체크
+    if depth >= max_depth:
+        logger.warning("Maximum recursion depth (%d) reached. Stopping further requests.", max_depth)
+        return (
+            dataframe1 if dataframe1 is not None else pd.DataFrame(),
+            dataframe2 if dataframe2 is not None else pd.DataFrame(),
+            dataframe3 if dataframe3 is not None else pd.DataFrame()
+        )
+
+    tr_id = "CTPF2005R"
+
+    params = {
+        "INQR_STRT_DT": inqr_strt_dt,
+        "INQR_END_DT": inqr_end_dt,
+        "PDNO": pdno,
+        "PRDT_TYPE_CD": prdt_type_cd,
+        "VRFC_KIND_CD": vrfc_kind_cd,
+        "CTX_AREA_NK30": NK30,
+        "CTX_AREA_FK100": FK100,
+    }
+
+    res = ka._url_fetch(API_URL, tr_id, tr_cont, params)
+
+    if res.isOK():
+        # 연속조회 정보 업데이트
+        tr_cont = res.getHeader().tr_cont
+        NK30 = res.getBody().ctx_area_nk30
+        FK100 = res.getBody().ctx_area_fk100
+
+        # output1 데이터 처리
+        current_data1 = pd.DataFrame(res.getBody().output1)
+        if dataframe1 is not None:
+            dataframe1 = pd.concat([dataframe1, current_data1], ignore_index=True)
+        else:
+            dataframe1 = current_data1
+
+        # output2 데이터 처리
+        current_data2 = pd.DataFrame(res.getBody().output2)
+        if dataframe2 is not None:
+            dataframe2 = pd.concat([dataframe2, current_data2], ignore_index=True)
+        else:
+            dataframe2 = current_data2
+
+        # output3 데이터 처리
+        current_data3 = pd.DataFrame(res.getBody().output3)
+        if dataframe3 is not None:
+            dataframe3 = pd.concat([dataframe3, current_data3], ignore_index=True)
+        else:
+            dataframe3 = current_data3
+
+        if tr_cont in ["M", "F"]:  # 다음 페이지 존재
+            logger.info("Call Next page...")
+            ka.smart_sleep()  # 시스템 안정적 운영을 위한 지연
+            return avg_unit(
+                inqr_strt_dt,
+                inqr_end_dt,
+                pdno,
+                prdt_type_cd,
+                vrfc_kind_cd,
+                NK30,
+                FK100,
+                dataframe1,
+                dataframe2,
+                dataframe3,
+                "N",
+                depth + 1,
+                max_depth
+            )
+        else:
+            logger.info("Data fetch complete.")
+            return dataframe1, dataframe2, dataframe3
+    else:
+        logger.error("API call failed: %s - %s", res.getErrorCode(), res.getErrorMessage())
+        res.printError(API_URL)
+        return pd.DataFrame(), pd.DataFrame(), pd.DataFrame()