# -*- coding: utf-8 -*-
"""
Created on 2025-07-02

"""

import logging
import time
from typing import Optional
import sys

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__)

# 상수 정의
API_URL = "/uapi/overseas-futureoption/v1/quotations/stock-detail"

##############################################################################################
# [해외선물옵션] 기본시세 > 해외선물종목상세[v1_해외선물-008]
##############################################################################################

def stock_detail(
    srs_cd: str,  # 종목코드
    tr_cont: str = "",
    dataframe: Optional[pd.DataFrame] = None,
    depth: int = 0,
    max_depth: int = 10
) -> Optional[pd.DataFrame]:
    """
    [해외선물옵션] 기본시세 
    해외선물종목상세[v1_해외선물-008]
    해외선물종목상세 API를 호출하여 DataFrame으로 반환합니다.
    
    Args:
        srs_cd (str): ex) CNHU24 ※ 종목코드 "포럼 > FAQ > 종목정보 다운로드(해외) - 해외지수선물" 참고
        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]: 해외선물종목상세 데이터
        
    Example:
        >>> df = stock_detail(srs_cd="6AU22")
        >>> print(df)
    """
    # 필수 파라미터 검증
    if not srs_cd:
        logger.error("srs_cd is required. (e.g. '6AU22')")
        raise ValueError("srs_cd is required. (e.g. '6AU22')")

    # 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 = "HHDFC55010100"

    params = {
        "SRS_CD": srs_cd,
    }

    res = ka._url_fetch(API_URL, tr_id, tr_cont, params)

    if res.isOK():
        if hasattr(res.getBody(), 'output1'):
            output_data = res.getBody().output1
            if not isinstance(output_data, list):
                output_data = [output_data]
            current_data = pd.DataFrame(output_data)
        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 stock_detail(
                srs_cd,
                "N", dataframe, depth + 1, max_depth
            )
        else:
            logger.info("Data fetch complete.")
            return dataframe
    else:
        logger.error("API call failed: %s - %s", res.getErrorCode(), res.getErrorMessage())
        res.printError(API_URL)
        return pd.DataFrame()
