import json
import csv
import matplotlib.pyplot as plt
import numpy as np
import datetime
from datetime import datetime, timedelta
import os

# 生成一个任务的参数
def __scheme_task_to_retinfo(j:json):
    texts=[]
    length=len(j["TestStandard"])
    for i in j["ReturnInfo"]:
        texts.append(i)
    return texts

# 生成任务参数序列
def __scheme_tasks_to_retinfo(j:json):
    # texts=[]
    # for i in j["TaskArray"]:
    #     texts+=__scheme_task_to_retinfo(i)
    texts=j["CheckerRtvName"]
    # print(texts)
    return texts


def __json_extract_retinfo(name:str):
    with open(name,"rb") as f:
        json_obj=json.loads(f.read())
        return __scheme_tasks_to_retinfo(json_obj)
    return None



def __get_date():
    now_time = datetime.utcnow()
    utc_time = now_time + timedelta(hours=8)
    utc_time = utc_time.strftime("%Y%m%d")
    return utc_time

# 获取本次生成方案的id号
def __get_scheme_id():
    info_name="scheme_export_info.txt"
    id=1
    if os.path.exists(info_name):
        info_f=open(info_name,'r')
        lines=info_f.readlines()
        if(__get_date()==lines[0].strip()):
            id=int(lines[1].strip())+1
        info_f.close()
    with open(info_name,"w+") as f:
        f.write(__get_date()+'\n')
        f.write(str(id)+'\n')
    return id

def __reflush_scheme_id(id):
    # 日bit0~bit4 月bit5~bit8 年bit9~bit15
    sid=(id>>0)&0x7f
    modele=(id>>7)&0x1f
    chip=(id>>12)&0xf
    day=(id>>16)&0x1f
    month=(id>>21)&0xf
    year=((id>>25)&0x7f)+2022
    now_time = datetime.utcnow()
    utc_time = now_time + timedelta(hours=8)
    sid=__get_scheme_id()
    day=utc_time.day
    month=utc_time.month
    year=utc_time.year-2022
    id=(sid&0x7f)|((modele&0x1f)<<7)|((chip&0xf)<<12)|((day&0x1f)<<16)|((month&0xf)<<21)|((year&0x7f)<<25)
    return id,sid


def main():
    save_name="check_data.csv"
    title=__json_extract_retinfo("代工厂数据采集EJ旧68uF22um08211.json")
    save_f=open(save_name,'+w')
    save_f.write(','.join(title)+'\n')
    err_num=0
    with open("EJ09C测试数据.csv",newline="") as f:
        data=csv.reader(f)
        for row in data:
            if(row[3]=='0'):
                save_f.write(row[4]+'\n')
            else:
                err_num+=1
                print(row)
        print("检测异常数量为：",err_num)


def datas():
    title=__json_extract_retinfo("代工厂数据采集EJ旧68uF22um08211.json")
    data_list=[]
    for i in title:
        t=[]
        data_list.append(t)
    with open("EJ09C测试数据.csv",newline="") as f:
        data=csv.reader(f)
        for row in data:
            if(row[3]=='0'):
                s=row[4].split(',')
                for i in range(len(s)):
                    data_list[i].append(int(s[i]))
    return title,data_list

def export_scheme(ret_limit):
    name="代工厂数据采集EJ旧68uF22um08211.json"
    save_name="代工厂参数标定测试EJ"
    index=0
    with open(name,"r",encoding="utf-8") as f:
        json_obj=json.loads(f.read())
        for i in json_obj["TaskArray"]:
            for j in i["TestStandard"]:
                j["Max"]=ret_limit[index][0]
                j["Min"]=ret_limit[index][1]
        json_obj["PlanID"],sid=__reflush_scheme_id(json_obj["PlanID"])
        save_name=save_name+"_"+__get_date()+"{d:02d}".format(d=sid)
        json_obj["PlanBrief"]=save_name
        json_str=json.dumps(json_obj, sort_keys=True, indent=4, separators=(',', ': '),ensure_ascii=False)
        save_f=open(save_name+".json",'+wb')
        save_f.write(json_str.encode("utf-8"))
        save_f.close()
if __name__ == "__main__":
    # main()

    x=[1,2,3,4,5,6,7]
    avg=np.average(x)
    print(type(x),type(avg))
    sub=np.abs(x-avg)
    print(sub)