156 lines
6.0 KiB
Python
156 lines
6.0 KiB
Python
# 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()
|