import json
import requests
import time
import os
import random

from esg.esg_db import *


def get_data_template(template_name):
    data_template_path = '/static/template/{}.json'.format(template_name)
    with open(os.path.dirname(__file__) + data_template_path, "r", encoding='utf-8') as f:
        data_template = json.load(f)
    return data_template


def update_process_status(rid, update_data):
    """
    调用更新流程接口
    Parameters:
        update_data dict 需要更新的数据
    Returns:
        result str 更新结果
    """
    url = "http://api.fecribd.com/etl_tfse/company/update_process_data"
    token = "dmfd7FshT!5Wng9^gcCcQV7T6FBnVgl4"
    headers = {'token': token, 'Content-Type': 'application/json; charset=UTF-8'}
    data = json.dumps({"rid": rid, "types": "ESG评价流程", "renew_data": update_data})
    requests.post(url, headers=headers, data=data)


def get_current_year():
    """
    获取当前年度
    Parameters:
        -
    Returns:
        current_year 当前年度
    """
    current_year = time.strftime("%Y", time.localtime()) + "年"
    return current_year



def gen_new_rid():
    """
    生成新的评价ID，如果该ID存在，则重新生成
    Parameters:
        -
    Returns:
        new_id: 生成的企业ID
    """
    # 生成新ID
    new_id = make_id(8)
    # 检查新ID是否存在，如果存在则继续生成新ID
    case = find_rating_records({"评价ID": new_id}) is []
    while case:
        new_id = make_id(8)
    # 新ID可使用，返回新ID
    return new_id


def make_3_report_dates():
    """
    生成最近三年报告期 日期
    Parameters:
        -
    Returns:
        report_dates 三年报告期
    """
    current_year = int(time.strftime("%Y", time.localtime()))-1
    date_01 = str(current_year) + '年'
    date_02 = str(current_year-1) + '年'
    date_03 = str(current_year-2) + '年'
    report_dates = [date_01, date_02, date_03]
    return report_dates


def make_id(num):
    """
    随机生成字符串
    """
    choices = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789'
    salt = ''
    for i in range(num):
        salt += random.choice(choices)
    return salt


def prepare_risk_data(cid, rid, company_name):
    # 执行风险数据清洗程序
    url = "http://api.fecribd.com/etl_tfse/rating/esg_risk_data"
    token = "dmfd7FshT!5Wng9^gcCcQV7T6FBnVgl4"
    headers = {'token': token, 'Content-Type': 'application/json; charset=UTF-8'}
    data = json.dumps({"company_id": cid, "company_name": company_name, "evaluation_id": rid})
    requests.post(url, headers=headers, data=data)
    # 风险数据清洗完成后更新流程状态
    update_process_status(rid, {"评价流程.清洗风险数据": 1})