deleted fetch files

Scripts/fetch_history.py

@@ -1,42 +0,0 @@
-import pyodbc, os, json, csv
-from datetime import datetime, timedelta
-
-def fetch_history(term_dt:str):
-    term_DT = datetime.strptime(term_dt, '%Y_%m%d_%H_%M')
-    init_DT = term_DT - timedelta(minutes=5)
-
-    # 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_CYCL'
-
-    # 테이블 불러와서 저장
-    try:
-        query = f"SELECT * FROM {schema}.{table} WHERE OCRN_DT >= '{str(init_DT)}' AND OCRN_DT < '{str(term_DT)}'"
-        cursor.execute(query)
-        csv_file_path = os.path.join(path_root, *paths['tables'], 'fetched', f"{table}_{term_dt}.csv")
-        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)
-    except Exception as e:
-        print(f"오류 발생: {e}")
-
-fetch_history('2024_0626_16_00')

Scripts/fetch_movement.py

@@ -1,44 +0,0 @@
-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')