#!/usr/bin/env python
# -*- coding:utf-8 -*-
# @FileName  :pre_data_ftp.py
# @Time      :2024/12/26 14:18
# @Author    :David
# @Company: shenyang JY
from ftplib import FTP
import pandas as pd
from flask import Flask,request,jsonify
import time, datetime, os, traceback
import logging, zipfile, tempfile, shutil
from common.database_dml import get_data_from_mongo

app = Flask('pre_data_ftp——service')

ftp_params = {
    'host' : '192.168.12.20',
    'port': 32121,
    'zip_mode': 'w',
    'liudawei' : {
        'user' : 'liudawei',
        'password' : 'liudawei@123',
        'modeler' : 'koi'
    },
    'anweiguo':{
        'user' : 'anweiguo',
        'password' : 'anweiguo@123',
        'modeler' : 'seer'
    }
}

def zip_temp_file(df, args):
    def zip_folder(folder_path, zip_filePath):
        zip_file = zipfile.ZipFile(zip_filePath, ftp_params['zip_mode'], zipfile.ZIP_DEFLATED)
        for root, dirs, files in os.walk(folder_path):
            for file in files:
                file_path = os.path.join(root, file)
                zip_file.write(file_path, os.path.relpath(file_path, folder_path))
        zip_file.close()
    temp_dir, tem_dir_zip = tempfile.mkdtemp(dir='../cache/data'), tempfile.mkdtemp(dir='../cache/data')
    dt = df.loc[0, 'date_time'].strftime('%Y%m%d')
    modeler, model, version, farmId, moment = ftp_params[args['user']]['modeler'], args['model'], args['version'], args['farmId'], args['moment']
    csv_file = 'jy_{}.{}{}_{}_{}{}_dq.csv'.format(modeler, model, version, farmId, dt, moment)
    csv_path = os.path.join(temp_dir, farmId, csv_file)
    os.makedirs(os.path.dirname(csv_path), exist_ok=True)
    df.to_csv(csv_path, index=False)
    zip_file = 'jy_{}.{}.{}_{}{}_dq.zip'.format(modeler, model, version, dt, moment)
    zip_path = os.path.join(tem_dir_zip, zip_file)
    zip_folder(temp_dir, zip_path)
    shutil.rmtree(temp_dir)
    return zip_path, zip_file

def upload_ftp(zip_path, zip_file, args):
    ftp_host, ftp_port, ftp_user, ftp_pass = ftp_params['host'], ftp_params['port'], args['user'], ftp_params[args['user']]['password']
    # 创建 FTP 连接
    ftp = FTP()

    # 使用主动模式
    ftp.set_pasv(False)

    # 连接到 FTP 服务器并指定端口
    ftp.connect(ftp_host, ftp_port)  # 使用自定义端口号

    # 登录到 FTP 服务器
    ftp.login(ftp_user, ftp_pass)

    # 上传文件
    with open(zip_path, 'rb') as f:
        ftp.storbinary('STOR /' + ftp_params[args['user']]['modeler'] + '/'+zip_file, f)

    # 退出 FTP 连接
    ftp.quit()
    shutil.rmtree(os.path.dirname(zip_path))
    # os.remove(zip_path)
    print("File uploaded successfully")

@app.route('/pre_data_ftp', methods=['POST'])
def get_nwp_from_ftp():
    # 获取程序开始时间
    start_time = time.time()
    result = {}
    success = 0
    args = {}
    print("Program starts execution!")
    try:
        args = request.values.to_dict()
        # 1. 获取 mongo 中的预测结果
        print('args', args)
        logger.info(args)
        df = get_data_from_mongo(args)
        # 2. 将预测结果保存成csv临时文件，命名压缩
        zip_path, zip_file = zip_temp_file(df, args)
        # 3. 上传到指定的FTP服务器中
        upload_ftp(zip_path, zip_file, args)
        success = 1
    except Exception as e:
        my_exception = traceback.format_exc()
        my_exception.replace("\n", "\t")
        result['msg'] = my_exception
    end_time = time.time()
    result['success'] = success
    result['args'] = args
    result['start_time'] = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(start_time))
    result['end_time'] = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(end_time))
    print("Program execution ends!")
    return result

if __name__ == "__main__":
    print("Program starts execution!")
    logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
    logger = logging.getLogger("pre_data_ftp")
    from waitress import serve

    serve(app, host="0.0.0.0", port=10101)
    print("server start!")

    # args = {"user": 'anweiguo', 'model': 'Zone', 'version': 1.0, 'hour': '06',
    #         'farmId': 'J00645', 'mongodb_database': 'db2', 'mongodb_read_table': 'J00645_tmp_w', 'day_begin':'D1',
    #         'day_end': 'D1'}
    # df = get_data_from_mongo(args)
    # df.rename(columns={'dateTime': 'date_time'}, inplace=True)
    # df['date_time'] = pd.to_datetime(df['date_time'])
    # zip_path, zip_file = zip_temp_file(df, args)
    # upload_ftp(zip_path, zip_file, args)