data_analyze_platform/LIB/BACKEND/OPENAPI/OpenApi.py

'''
数据预处理类

'''
__author__ = 'lmstack'

import pandas as pd

import requests
import json

class OpenApi:
    def __init__(self):
        pass

    # def data_split(self, dfin, drive_interval_threshold=120, charge_interval_threshold=300, 
    #                            drive_stand_threshold=120, charge_stand_threshold=300,
    #                            default_time_threshold = 300, drive_time_threshold=300, charge_time_threshold=300, 
    #                            stand_time_threshold = 1800):
    #     '''
    #     数据分段函数，会调用_data_split_by_status和_data_split_by_time函数。
    #     其中_data_split_by_status 将数据分为charge、drive、stand、和none段；
    #     _data_split_by_time 将每个段内的数据，根据时间跳变继续分段。

    #     '''
    def get_device_fault(self, start_time="", end_time=""):
        # start_time = "2021-12-30 00:00:00"
        # end_time = "2021-12-31 00:00:00"
        url = 'http://open.li-ai.com.cn/admin/v1/deviceFault'
        headers = {'Content-Type':"application/json; charset=utf-8","token":"2A26DD0ADE53456D928562A17131A3B5"}
        data = {}
        if start_time != "":
            data['startTime'] = start_time
        if end_time != "":
            data['endTime'] = end_time
        response = requests.post(url,  json=data, headers=headers)
        df = pd.DataFrame(columns=['sn', 'imei','faultTime', 'updateTime', 'overTime', 'faultStatus', 'questionType', 'questionTypeText', 'childProblem','childProblemText'])
        for d in json.loads(response.text)["data"]:
            df = df.append(d, ignore_index=True)
        return df