import pyodbc, os, json, csv
from datetime import datetime

def fetch_movement(term_dt:str):
    term_DT = datetime.strptime(term_dt, '%Y_%m%d_%H_%M_%S')

    # 루트폴더 지정
    path_root = os.path.dirname(os.path.abspath('__file__'))

    with open(os.path.join(path_root, 'configs', 'config_revised.json'), 'r') as config_file:
        config = json.load(config_file)

    # 세팅 로드
    paths = config['paths']
    connection_info = config['connection_info']
    # 접속
    DSNNAME = connection_info["DSNNAME"]
    DBUSER = connection_info["DBUSER"]
    DBPWD = connection_info["DBPWD"]
    cnxn = pyodbc.connect(f'DSN={DSNNAME};UID={DBUSER};PWD={DBPWD};charset=utf-8')
    cursor = cnxn.cursor()

    # 스키마명, 테이블명 정의
    schema = 'SNMS'
    table = 'TL_IF_SIGL'

    # 테이블 불러와서 저장
    try:
        query = f"SELECT * FROM {schema}.{table} WHERE PHASE_DT = '{str(term_DT)}'"
        cursor.execute(query)
        csv_file_path = os.path.join(path_root, *paths['tables'], 'fetched', f"{table}_{term_dt}.csv")
        row_count = 0 ####
        with open(csv_file_path, 'w', newline='', encoding='utf-8-sig') as csvfile:
            csv_writer = csv.writer(csvfile)
            columns = [column[0] for column in cursor.description]
            csv_writer.writerow(columns)
            for row in cursor.fetchall():
                csv_writer.writerow(row)
                row_count += 1 ### 
        print(row_count) ###
    except Exception as e:
        print(f"오류 발생: {e}")

fetch_movement('2024_0624_17_38_24')