131 lines
3.7 KiB
Python
131 lines
3.7 KiB
Python
import json
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import csv
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import matplotlib.pyplot as plt
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import numpy as np
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import datetime
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from datetime import datetime, timedelta
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import os
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# 生成一个任务的参数
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def __scheme_task_to_retinfo(j:json):
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texts=[]
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length=len(j["TestStandard"])
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for i in j["ReturnInfo"]:
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texts.append(i)
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return texts
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# 生成任务参数序列
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def __scheme_tasks_to_retinfo(j:json):
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# texts=[]
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# for i in j["TaskArray"]:
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# texts+=__scheme_task_to_retinfo(i)
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texts=j["CheckerRtvName"]
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# print(texts)
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return texts
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def __json_extract_retinfo(name:str):
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with open(name,"rb") as f:
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json_obj=json.loads(f.read())
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return __scheme_tasks_to_retinfo(json_obj)
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return None
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def __get_date():
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now_time = datetime.utcnow()
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utc_time = now_time + timedelta(hours=8)
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utc_time = utc_time.strftime("%Y%m%d")
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return utc_time
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# 获取本次生成方案的id号
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def __get_scheme_id():
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info_name="scheme_export_info.txt"
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id=1
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if os.path.exists(info_name):
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info_f=open(info_name,'r')
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lines=info_f.readlines()
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if(__get_date()==lines[0].strip()):
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id=int(lines[1].strip())+1
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info_f.close()
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with open(info_name,"w+") as f:
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f.write(__get_date()+'\n')
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f.write(str(id)+'\n')
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return id
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def __reflush_scheme_id(id):
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# 日bit0~bit4 月bit5~bit8 年bit9~bit15
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sid=(id>>0)&0x7f
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modele=(id>>7)&0x1f
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chip=(id>>12)&0xf
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day=(id>>16)&0x1f
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month=(id>>21)&0xf
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year=((id>>25)&0x7f)+2022
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now_time = datetime.utcnow()
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utc_time = now_time + timedelta(hours=8)
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sid=__get_scheme_id()
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day=utc_time.day
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month=utc_time.month
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year=utc_time.year-2022
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id=(sid&0x7f)|((modele&0x1f)<<7)|((chip&0xf)<<12)|((day&0x1f)<<16)|((month&0xf)<<21)|((year&0x7f)<<25)
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return id,sid
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def main():
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save_name="check_data.csv"
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title=__json_extract_retinfo("代工厂数据采集EJ旧68uF22um08211.json")
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save_f=open(save_name,'+w')
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save_f.write(','.join(title)+'\n')
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err_num=0
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with open("EJ09C测试数据.csv",newline="") as f:
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data=csv.reader(f)
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for row in data:
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if(row[3]=='0'):
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save_f.write(row[4]+'\n')
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else:
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err_num+=1
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print(row)
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print("检测异常数量为：",err_num)
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def datas():
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title=__json_extract_retinfo("代工厂数据采集EJ旧68uF22um08211.json")
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data_list=[]
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for i in title:
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t=[]
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data_list.append(t)
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with open("EJ09C测试数据.csv",newline="") as f:
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data=csv.reader(f)
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for row in data:
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if(row[3]=='0'):
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s=row[4].split(',')
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for i in range(len(s)):
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data_list[i].append(int(s[i]))
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return title,data_list
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def export_scheme(ret_limit):
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name="代工厂数据采集EJ旧68uF22um08211.json"
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save_name="代工厂参数标定测试EJ"
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index=0
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with open(name,"r",encoding="utf-8") as f:
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json_obj=json.loads(f.read())
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for i in json_obj["TaskArray"]:
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for j in i["TestStandard"]:
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j["Max"]=ret_limit[index][0]
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j["Min"]=ret_limit[index][1]
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json_obj["PlanID"],sid=__reflush_scheme_id(json_obj["PlanID"])
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save_name=save_name+"_"+__get_date()+"{d:02d}".format(d=sid)
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json_obj["PlanBrief"]=save_name
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json_str=json.dumps(json_obj, sort_keys=True, indent=4, separators=(',', ': '),ensure_ascii=False)
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save_f=open(save_name+".json",'+wb')
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save_f.write(json_str.encode("utf-8"))
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save_f.close()
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if __name__ == "__main__":
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# main()
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x=[1,2,3,4,5,6,7]
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avg=np.average(x)
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print(type(x),type(avg))
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sub=np.abs(x-avg)
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print(sub)
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