def setUp(self):
self.login = FanNengAPI(endpoint_yw_app)
self.login.yw_app_login(login_data)
self.assertEqual(self.login.rest.response.status_code, 200)
json = self.login.rest.json_result()
self.openid = parser(json, '$.openId')[0]
self.token = parser(json, '$.token')[0]
self.headers = {'token': self.token}
def setUp(self):
self.login = FanNengAPI(endpoint_ywWeb_login)
# self.login.mark(mark)
# self.assertEqual(self.login.rest.response.status_code, 200)
# check_vode = {"vcode": vcode, "mark": mark}
# self.login.check_vcode(check_vode)
# self.assertEqual(self.login.rest.response.status_code, 200)
login_data_web = "username="******"&password=123abc"
# login_data_web = {}
self.login.login(login_data_web)
self.assertEqual(self.login.rest.response.status_code, 200)
json = self.login.rest.json_result()
self.token = parser(json, '$.data')[0].get('ticket')
self.headers = {'token': self.token}
self.openid = parser(json, '$.data')[0].get('userEnt').get('openid')
def tearDown(self):
payload = {"token": self.token}
self.logout = FanNengAPI(endpoint_yw_app)
self.logout.rest.session.headers.update(self.headers)
self.logout.yw_app_logout(payload)
self.assertEqual(self.logout.rest.response.status_code, 200)
json = self.logout.rest.json_result()
code = parser(json, '$.code')[0]
self.assertEqual(code, 0)
def metric_code_all(self, cim_id):
self.fn_cim = FanNengAPI(endpoint_yw_cim)
self.fn_cim.rest.session.headers.update(self.headers)
payload = {
"deviceCimId": cim_id,
"pageNumber": 0,
"pageSize": 100000
}
self.fn_cim.post_get_cim_metric(payload)
json = self.fn_cim.rest.json_result()
metric_list = parser(json, '$.metricList')[0]
return metric_list
def metric_code(self, cim_id):
self.fn_cim = FanNengAPI(endpoint_yw_cim)
self.fn_cim.rest.session.headers.update(self.headers)
payload = {
"deviceCimId": cim_id,
"pageNumber": 0,
"pageSize": 100000
}
self.fn_cim.post_get_cim_metric(payload)
json = self.fn_cim.rest.json_result()
metric_list = parser(json, '$.metricList')[0]
metric_code_list = []
for data in metric_list:
metric_code = {"cimId": 2, "metricId": "GSB_GSB01_FwInt", "name": "FwInt", "description": "1#燃气锅炉给水管累计流量"}
metric_code.update(cimId=data.get("cimId"))
metric_code.update(metricId=data.get("metricId"))
metric_code.update(name=data.get("name"))
metric_code.update(description=data.get("description"))
metric_code_list.append(metric_code)
return metric_code_list
def cim_station_all(self):
self.fn_cim = FanNengAPI(endpoint_yw_cim)
# self.fn_cim.rest.session.headers.update(self.headers)
payload = {
"pageNumber": 0,
"pageSize": 10000,
"status": "OPR"
}
self.fn_cim.post_cim_station_all(payload)
json = self.fn_cim.rest.json_result()
containerList = parser(json, '$.containerList')[0]
station_list = []
for data in containerList:
station = {"id": "CA02ES01", "name": "龙游城南工业园", "cimId": 2}
station.update(id=data.get("containerId"))
station.update(name=data.get("containerName"))
station.update(cimId=data.get("cimId"))
station_list.append(station)
# print(station_list)
return station_list
def ailoadForecasting(self, time, queries, loadType=4):
# loadType = 预测类型（1 heatWater，2elec，3cool，4steam，默认值4）
# time = 时间戳，预测time时间后(结果不含time)的12个小时的值，只接收整点
# staId = 站ID，字符串类型
# equipID = 设备，字符串类型
# metric = 采集点，字符串类型
# equipMK = 设备标识
list1 = []
sumtim = 503
# metric1 = "UES."+metric
# queries = [{"aggregator": "none", "downsample": "1h-first-zero", "metric": metric1, "tags":
# {"equipID": equipID, "staId": staId, "equipMK": equipMK}}]
# 获取time时间前504小时数据
json1 = self.opstpdatereduce(time, sumtim, queries)
payload = {
"inputData": {
'CEU_FIQ303_FsIntLP': json1
},
"containerID": "containerID",
"loadType": loadType,
"targetDeviceID": "targetDeviceID",
"nextNum": "24",
"modelType": "loadPredict",
"bakParamMap": {}
}
self.load = AiAPI(url)
self.load.load_forecasting(payload)
try:
self.assertEqual(self.load.rest.response.status_code, 200)
json3 = self.load.rest.json_result()
msg1 = parser(json3, '$.data.loads')[0]
targetDeviceID = msg1[1]['targetDeviceID']
self.assertEqual(targetDeviceID, 'targetDeviceID')
except:
print("AI接口错误")
raise TypeError
for i in msg1:
zd = {"time": i['time'], "value": i['value']}
list1.append(zd)
return list1
def equipment_code(self, cim_id, device_type):
self.fn_cim = FanNengAPI(endpoint_yw_cim)
self.fn_cim.rest.session.headers.update(self.headers)
payload = {
"containerCimId": cim_id,
"deviceType": device_type,
"pageNumber": 1,
"pageSize": 100000
}
self.fn_cim.post_get_cim_device(payload)
json = self.fn_cim.rest.json_result()
device_list = parser(json, '$.deviceList')[0]
equipment_code_list = []
for data in device_list:
equip_code = {"cimId": 2, "deviceId": "HRSG_HRSG01", "description": "蒸汽型余热锅炉"}
equip_code.update(cimId=data.get("cimId"))
equip_code.update(deviceId=data.get("deviceId"))
value = data.get("description") # + '_' + data.get("deviceName")
equip_code.update(description=value)
equipment_code_list.append(equip_code)
return equipment_code_list
def loadTranslation(self, time1):
# 负荷平移
# time1 = 时间戳，是结束平移的时间，返回结果是龙游的平移结果
# offset 负数是向前移，正数是向后移
# moveCost 移动之后的总成本
staId = "CA02ES01"
time = time1
sumtim = 24
queries = [{
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "SFSX",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "DZWJ",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "TRHX",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "HDL",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "WMSC",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "XBZJ",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "LGSL",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "TNSP",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "CXLY",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "JDKJ",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "SSSX",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "LCCW",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "HGYSY",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "YMLY",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "TMZY",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "QLBZJ",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "DDMN",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "FDLHC",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "CDSX",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "LYXCL",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "MHSP",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "FTZZ",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "JDJJ",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "ZYH",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "HSGM",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "SJSJ",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "CYHG",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "NNHZY",
"staId": staId,
"equipMK": "CEU"
}
}, {
"aggregator": "none",
"metric": "UES.FsIntLP",
"tags": {
"equipID": "LHDD",
"staId": staId,
"equipMK": "CEU"
}
}]
ca = [[], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [],
[], [], [], [], [], [], [], [], [], [], [], [], []]
ca1 = [[], [], [], [], [], [], [], [], [], [], [], [], [], [], [], [],
[], [], [], [], [], [], [], [], [], [], [], [], []]
self.entId1 = [
"FIQ202_顺丰水洗蒸汽累计流量", "FIQ204_德州五金蒸汽累计流量", "FIQ205_天瑞化学蒸汽累计流量",
"FIQ206_惠多利蒸汽累计流量", "FIQ207_外贸笋厂蒸汽累计流量", "FIQ208_信邦助剂蒸汽累计流量",
"FIQ209_利光塑料蒸汽累计流量", "FIQ210_铜鸟食品蒸汽累计流量", "FIQ211_百依家纺蒸汽累计流量",
"FIQ214_九鼎科技蒸汽累计流量", "FIQ215_苏盛水洗蒸汽累计流量", "FIQ216_鹿成宠物蒸汽累计流量",
"FIQ217_桦固优实业蒸汽累计流量", "FIQ218_元美铝业蒸汽累计流量", "FIQ219_特美纸业蒸汽累计流量",
"FIQ220_群力标准件蒸汽累计流量", "FIQ221_大地毛呢蒸汽累计流量", "FIQ222_福德利花材蒸汽累计流量",
"FIQ240_辰东水洗蒸汽累计流量", "FIQ241_力源新材料蒸汽累计流量", "FIQ244_美哈食品蒸汽累计流量",
"FIQ251_福田造纸蒸汽累计流量", "FIQ252_家德家具蒸汽累计流量", "FIQ212_正一煌蒸汽流量累计流量",
"FIQ213_汉桑工贸蒸汽流量累计流量", "FIQ261_瞬杰塑胶蒸汽流量累计流量",
"FIQ203_辰阳化工蒸汽流量累计流量", "FIQ253_年年虹纸业蒸汽累计流量", "FIQ201_龙辉电镀蒸汽累计流量"
]
# 查询大数据接口
aa = self.getz3(time, sumtim, queries, ca)
vo = []
for i in range(len(queries)):
for ii in range(sumtim):
vo.append(aa[i][ii]['value'])
ca1[i].append(vo)
vo = []
# 拼请求AI平移接口参数
self.entIdA = [[self.entId1[0], ca1[0][0], 1, 2, 24],
[self.entId1[1], ca1[1][0], 1, 2, 24],
[self.entId1[2], ca1[2][0], 1, 2, 24],
[self.entId1[3], ca1[3][0], 1, 2, 24],
[self.entId1[4], ca1[4][0], 1, 2, 24],
[self.entId1[5], ca1[5][0], 1, 2, 24],
[self.entId1[6], ca1[6][0], 1, 2, 24],
[self.entId1[7], ca1[7][0], 1, 2, 24],
[self.entId1[8], ca1[8][0], 1, 2, 24],
[self.entId1[9], ca1[9][0], 1, 2, 24],
[self.entId1[10], ca1[10][0], 1, 2, 24],
[self.entId1[11], ca1[11][0], 1, 2, 24],
[self.entId1[12], ca1[12][0], 1, 2, 24],
[self.entId1[13], ca1[13][0], 1, 2, 24],
[self.entId1[14], ca1[14][0], 1, 2, 24],
[self.entId1[15], ca1[15][0], 1, 2, 24],
[self.entId1[16], ca1[16][0], 1, 2, 24],
[self.entId1[17], ca1[17][0], 1, 2, 24],
[self.entId1[18], ca1[18][0], 1, 2, 24],
[self.entId1[19], ca1[19][0], 1, 2, 24],
[self.entId1[20], ca1[20][0], 1, 2, 24],
[self.entId1[21], ca1[21][0], 1, 2, 24],
[self.entId1[22], ca1[22][0], 1, 2, 24],
[self.entId1[23], ca1[23][0], 1, 2, 24],
[self.entId1[24], ca1[24][0], 1, 2, 24],
[self.entId1[25], ca1[25][0], 1, 2, 24],
[self.entId1[26], ca1[26][0], 1, 2, 24],
[self.entId1[27], ca1[27][0], 1, 2, 24],
[self.entId1[28], ca1[28][0], 1, 2, 24]]
section = [{
"from": "0",
"to": "5",
"cost": "312.09236845454546"
}, {
"from": "5",
"to": "10",
"cost": "261.94823166393445"
}, {
"from": "10",
"to": "15",
"cost": "235.61446645312498"
}, {
"from": "15",
"to": "25",
"cost": "240.16313305555556"
}, {
"from": "25",
"to": "35",
"cost": "225.15273123529408"
}]
payload = self.translationDate(self.entIdA, section)
# print(payload)
total = self.translationCost(self.entIdA, section)
self.load = AiAPI(url2)
self.load.load_translation(payload)
self.assertEqual(self.load.rest.response.status_code, 200)
json1 = self.load.rest.json_result()
# print(json.dumps(json1))
try:
moveCost = float(parser(json1, '$.data.moveCost')[0])
except:
print("负荷平移接口返回错误'\n'请求参数：%s'\n'接口返回：%s" % (payload, json1))
raise TypeError
returnEntId = parser(json1, '$.data.moveData')[0]
returnEntId1 = []
returnEntId2 = []
for i in range(len(self.entIdA)):
returnEntId1.append(str(self.entIdA[i][0]))
returnEntId2.append(str(returnEntId[i]['entId']))
# 对比2个列表,验证返回的entId
self.assertListEqual(returnEntId1, returnEntId2)
# 计算平移后成本
tota2 = self.translationAfterCost(self.entIdA, json1, section)
if moveCost != tota2:
raise TypeError
else:
return json1