积累更新
This commit is contained in:
何 泽隆
@@ -14,32 +14,61 @@ from sqlalchemy import MetaData, Table, Column, String, Float, Integer
|
||||
API_URL = "https://energy-iot.chinatowercom.cn/api/device/device/historyPerformance"
|
||||
|
||||
API_HEADER = {
|
||||
"accept": "application/json, text/plain, */*",
|
||||
"Accept-Encoding": "gzip, deflate, br, zstd",
|
||||
"accept-language": "zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6",
|
||||
"Connection": "keep-alive",
|
||||
"Content-Length": "170",
|
||||
"Cookie": "HWWAFSESTIME=1732496660747; HWWAFSESID=880ee8eff3a2d23536; dc04ed2361044be8a9355f6efb378cf2=WyIzNTI0NjE3OTgzIl0",
|
||||
"authorization": "Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOlsiIl0sInVzZXJfbmFtZSI6IndlYl9tYW5hZ2V8d2FuZ2xlaTQiLCJzY29wZSI6WyJhbGwiXSwiZXhwIjoxNzMyNTQ4Nzc5LCJ1c2VySWQiOjI0Mjg1LCJqdGkiOiI1Y2I3ZDA2ZC1hNzczLTQ5ZDQtYmRiMy05ZjdiOWNmMjY3ZTYiLCJjbGllbnRfaWQiOiJ3ZWJfbWFuYWdlIn0.Gpk9eYc3W4gcGLTG4aLSEL7E-VD-qPYsELcyyPuZ29e9STfa18WNcbosdIDulbH-5LDqY6i6aFAWpVm41bIgwzLZpAhlp2dthJcoBn9a90wWO4nz-Xi-MK9MVhNR0C28fyxv7h8jP_LRQkBi-pAzm2j65gkSTL3Vakky6znawZ5pY42U74lF-SnYdGyNFK3Ryy3xeMG4N1Pu_OJFdjXdGANUJZcXg1gh8WrERPo2SvuiCzOVTuUQZO7lRc8qGyILTKC-snz5CoonHaCWMaRzcV5VtCGd-yBncpyMQN9rGPqCiiLmuyTG29aZh5UfR_mloGCQHacqRmYSq3uGkPodBg",
|
||||
"content-type": "application/json;charset=UTF-8",
|
||||
"Cookie": "HWWAFSESID=455f2793ca86a3aaf0; HWWAFSESTIME=1734509454212; dc04ed2361044be8a9355f6efb378cf2=WyIyODM4MDM2MDcxIl0",
|
||||
"authorization": "Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOlsiIl0sInVzZXJfbmFtZSI6IndlYl9tYW5hZ2V8d2FuZ2xlaTQiLCJzY29wZSI6WyJhbGwiXSwiZXhwIjoxNzM0NjYzNDQ5LCJ1c2VySWQiOjI0Mjg1LCJqdGkiOiJhZmZhNmY1My05ZDA4LTQ2ODUtODU3MS05YzA5ODAxMGJjZWYiLCJjbGllbnRfaWQiOiJ3ZWJfbWFuYWdlIn0.q0X4qrgL4wRUTZL8c_5oTIUGW0Lsivxw8pYQ1iMIqLnyJrUeS7IQKNRavMhc4NEdQ9uG6ZgFVHIj80HbzH8DHCxssCPLdv9_TXksI5podU2aU6Vjh6AaN1THFYAE2uflj1saBnQ5_gKiK0-cAcXDeJNSt_u6Cd9hI1ejEUPPzO_hLg-NLzch7yIB-HPvhoDNnl0n5pSYoQpT8XaKT14HezL3VQrLII69Vme38S2dMmmkiAeIyhHQi56kXZ11K45Lu5bHXv6fDg2Mfr9VgVuTleZldiO69BAmG0h1-HqTQuGE39jtGWrrCnFduRZR6VsaOWWJy3qyqUbXWMOli1Yy1g",
|
||||
"Host": "energy-iot.chinatowercom.cn",
|
||||
"Origin": "https://energy-iot.chinatowercom.cn",
|
||||
"Sec-Fetch-Dest": "empty",
|
||||
"Sec-Fetch-Mode": "cors",
|
||||
"Sec-Fetch-Site": "same-origin",
|
||||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36 Edg/131.0.0.0",
|
||||
"accept": "application/json, text/plain, */*",
|
||||
"accept-language": "zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6",
|
||||
"content-type": "application/json;charset=UTF-8",
|
||||
"sec-ch-ua": "\"Microsoft Edge\";v=\"131\", \"Chromium\";v=\"131\", \"Not_A Brand\";v=\"24\"",
|
||||
"sec-ch-ua-mobile": "?0",
|
||||
"sec-ch-ua-platform": "Windows",
|
||||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36 Edg/131.0.0.0",
|
||||
}
|
||||
|
||||
SemaMap = {
|
||||
'apt_temp': ('0305117001', 'adapter', "设备温度"),
|
||||
'apt_volt_in': ('0305118001', 'adapter', "输入电压"),
|
||||
'apt_curr_in': ('0305119001', 'adapter', "输入电流"),
|
||||
'apt_volt_out': ('0305120001', 'adapter', "输出电压"),
|
||||
'apt_curr_out': ('0305121001', 'adapter', "输出电流"),
|
||||
'apt_power_out': ('0305122001', 'adapter', "输出功率"),
|
||||
SemaMap_adapter = {
|
||||
'facturer': ('0305113001', 'adapter', False, "厂家"),
|
||||
'version': ('0305114001', 'adapter', False, "软件版本"),
|
||||
'model': ('0305115001', 'adapter', False, "型号"),
|
||||
'status': ('0305116001', 'adapter', False, "开关机状态"),
|
||||
'temp': ('0305117001', 'adapter', True, "温度"),
|
||||
'volt_in': ('0305118001', 'adapter', True, "输入电压"),
|
||||
'curr_in': ('0305119001', 'adapter', True, "输入电流"),
|
||||
'volt_out': ('0305120001', 'adapter', True, "输出电压"),
|
||||
'curr_out': ('0305121001', 'adapter', True, "输出电流"),
|
||||
'power_out': ('0305122001', 'adapter', True, "输出功率"),
|
||||
}
|
||||
SemaMap_meter = {
|
||||
'mtr_id': ('0305123001', 'meter', False, "电表号"),
|
||||
'mtr_volt': ('0305124001', 'meter', True, "直流电压"),
|
||||
'mtr_curr': ('0436101001', 'meter', True, "直流总电流"),
|
||||
'mtr_power': ('0436102001', 'meter', True, "总有功功率"),
|
||||
'mtr_energy_total': ('0305125001', 'meter', True, "总有功电能"),
|
||||
'mtr_energy_daily': ('0305126001', 'meter', True, "日有功电能"),
|
||||
'mtr_energy_total_T': ('0305127001', 'meter', True, "尖时段总正向有功电能"),
|
||||
'mtr_energy_total_P': ('0305128001', 'meter', True, "峰时段总正向有功电能"),
|
||||
'mtr_energy_total_F': ('0305129001', 'meter', True, "平时段总正向有功电能"),
|
||||
'mtr_energy_total_V': ('0305130001', 'meter', True, "谷时段总正向有功电能"),
|
||||
'mtr_energy_daily_T': ('0305131001', 'meter', True, "尖时段日正向有功电能"),
|
||||
'mtr_energy_daily_P': ('0305132001', 'meter', True, "峰时段日正向有功电能"),
|
||||
'mtr_energy_daily_F': ('0305133001', 'meter', True, "平时段日正向有功电能"),
|
||||
'mtr_energy_daily_V': ('0305134001', 'meter', True, "谷时段日正向有功电能"),
|
||||
}
|
||||
|
||||
API_Map = {
|
||||
'search_dev': ['https://energy-iot.chinatowercom.cn/api/device/device/page', None],
|
||||
'dev_info': ['https://energy-iot.chinatowercom.cn/api/device/device/devInfo', None],
|
||||
'perf_real': ['https://energy-iot.chinatowercom.cn/api/device/device/perfReal', None],
|
||||
'history': ['https://energy-iot.chinatowercom.cn/api/device/device/historyPerformance', [SemaMap_adapter, SemaMap_meter]],
|
||||
'page': ['https://energy-iot.chinatowercom.cn/api/device/device/page', None],
|
||||
'station': ['https://energy-iot.chinatowercom.cn/api/device/station/detail/', None],
|
||||
}
|
||||
|
||||
class Lamina_Data(object):
|
||||
@@ -60,6 +89,16 @@ class Lamina_Data(object):
|
||||
)
|
||||
metadata.create_all(self.engine)
|
||||
|
||||
if 'log' not in metadata.tables:
|
||||
log_table = Table(
|
||||
'log', metadata,
|
||||
Column('dev', String(50)),
|
||||
Column('mid', String(50)),
|
||||
Column('Timestamp_start', Integer),
|
||||
Column('Timestamp_end', Integer),
|
||||
)
|
||||
metadata.create_all(self.engine)
|
||||
|
||||
self.data = {
|
||||
'history': pd.read_sql_table('history', self.engine),
|
||||
}
|
||||
@@ -75,33 +114,34 @@ class Lamina_Data(object):
|
||||
data_memory = self.data['history']
|
||||
data_file = pd.read_sql_table('history', self.engine)
|
||||
|
||||
# 合并新数据和现有数据
|
||||
combined_df = pd.concat([data_file, data_memory], ignore_index=True)
|
||||
merged_df = pd.merge(data_memory, data_file[['dev', 'mid', 'time']], on=['dev', 'mid', 'time'], how='left', indicator=True)
|
||||
filtered_data_memory = merged_df[merged_df['_merge'] == 'left_only'].drop(columns='_merge')
|
||||
filtered_data_memory.to_sql('history', self.engine, if_exists='append', index=False)
|
||||
|
||||
# 通过 'dev', 'mid', 'time' 三列进行去重
|
||||
combined_df.drop_duplicates(subset=['dev', 'mid', 'time'], inplace=True)
|
||||
print(f"成功插入 {len(filtered_data_memory)} 条数据")
|
||||
|
||||
# 将去重后的数据插入数据库
|
||||
combined_df.to_sql('history', self.engine, if_exists='replace', index=False)
|
||||
return len(filtered_data_memory)
|
||||
|
||||
print(f"成功插入 {len(combined_df)} 条数据")
|
||||
def save_data(func):
|
||||
""" 保存函数返回数据 """
|
||||
def wrapper(*args, **kwds):
|
||||
self: Lamina_Data = args[0]
|
||||
result = func(*args, **kwds)
|
||||
if isinstance(result, pd.DataFrame):
|
||||
self.data['history'] = pd.concat([self.data['history'], result], ignore_index=True)
|
||||
self.save_history_data()
|
||||
return result
|
||||
return wrapper
|
||||
|
||||
return len(combined_df)
|
||||
|
||||
def get_histoty_data(self, device_id, data_type, time_start:int, time_end:int):
|
||||
def get_histoty_data_by_database(self, device_id, data_type, time_start:int, time_end:int):
|
||||
""" 读取历史数据 """
|
||||
flag = 0
|
||||
time_Interval = 20 * 60
|
||||
database = self.data['history']
|
||||
filter_data = database[database['dev'] == device_id &
|
||||
database['mid'] == SemaMap[data_type][0] &
|
||||
database['mid'] == SemaMap_adapter[data_type][0] &
|
||||
database['time'].between(time_start, time_end)]
|
||||
if filter_data.shape[1] == 0 or (filter_data['time'].min() - time_start > time_Interval) or (time_end - filter_data['time'].max() > time_Interval):
|
||||
""" 需要从网页获取数据 """
|
||||
flag = 1
|
||||
|
||||
return filter_data
|
||||
|
||||
@save_data
|
||||
def get_history_data_by_net(self, device_id, data_type, time_start:int, time_end:int, header=None):
|
||||
""" 读取信号量历史数据, 返回接口json数据 """
|
||||
if header is None:
|
||||
@@ -122,38 +162,163 @@ class Lamina_Data(object):
|
||||
json_data = req.json()
|
||||
if json_data['code'] == 200:
|
||||
""" 数据读取成功 """
|
||||
print(f"Get data success, len={len(json_data['data'])}")
|
||||
print(f"Get data success, mid={data_type[0]}, len={len(json_data['data'])}")
|
||||
table_data = pd.DataFrame(json_data['data'], columns=['collectTime', 'mid', 'midName', 'value'])
|
||||
table_data['time'] = table_data['collectTime'].apply(lambda x: int(time.mktime(time.strptime(x, r"%Y-%m-%d %H:%M:%S"))))
|
||||
table_data['dev'] = device_id
|
||||
return table_data[['dev', 'mid', 'time', 'value']]
|
||||
else:
|
||||
print(f"Get data fail, code={json_data['code']}, msg=\n\t{json_data['msg']}")
|
||||
print(f"Get data fail, code={json_data['code']}, msg=\n\t{json_data['message']}")
|
||||
return pd.DataFrame([], columns=['dev', 'mid', 'time', 'value'])
|
||||
|
||||
def get_real_data_by_net(self, device_id, fsu_id=None, header=None):
|
||||
""" 读取设备当前数据, 返回接口json数据 """
|
||||
if header is None:
|
||||
header = self.api_origin['header']
|
||||
|
||||
body = {
|
||||
"businessType": "7",
|
||||
"devType": device_id[3:7],
|
||||
"deviceCodes": device_id,
|
||||
"type": "遥测"
|
||||
}
|
||||
|
||||
if device_id[3:7] != "0101":
|
||||
if fsu_id is None:
|
||||
raise ValueError(f"Missing required parameters: fsu_id={fsu_id}")
|
||||
body["fsuCode"] = fsu_id
|
||||
|
||||
req = requests.post(API_Map['perf_real'][0], json=body, headers=header)
|
||||
json_data = req.json()
|
||||
if json_data['code'] == 200:
|
||||
""" 数据读取成功 """
|
||||
print(f"Get data success, len={len(json_data['data'])}")
|
||||
table_data = pd.DataFrame(json_data['data'])
|
||||
column_name = sorted(table_data.columns)
|
||||
table_data['time'] = table_data['updateTime'].apply(lambda x: int(time.mktime(time.strptime(x, r"%Y-%m-%d %H:%M:%S"))))
|
||||
table_data = table_data[['time', *column_name]].drop(columns='updateTime')
|
||||
return table_data
|
||||
else:
|
||||
print(f"Get data fail, code={json_data['code']}, msg=\n\t{json_data['message']}")
|
||||
return pd.DataFrame([])
|
||||
|
||||
def get_devinfo_data_by_net(self, device_id, data_type, time_start:int, time_end:int, header=None):
|
||||
""" 读取设备信息, 返回接口json数据 """
|
||||
if header is None:
|
||||
header = self.api_origin['header']
|
||||
|
||||
body = {
|
||||
"businessType": "7",
|
||||
"id": int(data_type),
|
||||
}
|
||||
|
||||
req = requests.post(API_Map['dev_info'][0], json=body, headers=header)
|
||||
json_data = req.json()
|
||||
if json_data['code'] == 200:
|
||||
""" 数据读取成功 """
|
||||
print(f"Get data success, len={len(json_data['data'])}")
|
||||
table_data = pd.DataFrame(json_data['data'])
|
||||
return table_data
|
||||
else:
|
||||
print(f"Get data fail, code={json_data['code']}, msg=\n\t{json_data['message']}")
|
||||
return pd.DataFrame([], columns=['dev', 'mid', 'time', 'value'])
|
||||
|
||||
def spider_adapter(self, device_id:str, time_start:int, time_end:int):
|
||||
""" 爬取适配器数据 """
|
||||
result = {}
|
||||
columns_adapter = list(filter(lambda x: SemaMap_adapter[x][2], SemaMap_adapter.keys()))
|
||||
data_adapter = pd.DataFrame([], columns=['time', *columns_adapter])
|
||||
for k in columns_adapter:
|
||||
result[k] = self.get_history_data_by_net(device_id, SemaMap_adapter[k], time_start, time_end)
|
||||
if data_adapter.empty:
|
||||
data_adapter.time = result[k].time
|
||||
data_adapter[k] = result[k].value.apply(float)
|
||||
return data_adapter
|
||||
|
||||
def spider_meter(self, device_id:str, time_start:int, time_end:int):
|
||||
""" 爬取电表数据 """
|
||||
result = {}
|
||||
columns_meter = list(map(lambda x: x[4:], filter(lambda x: SemaMap_meter[x][2], SemaMap_meter.keys())))
|
||||
data_meter = pd.DataFrame([], columns=['time', *columns_meter])
|
||||
for k, v in SemaMap_meter.items():
|
||||
if v[2]:
|
||||
result[k] = self.get_history_data_by_net(device_id, v, time_start, time_end)
|
||||
if data_meter.empty:
|
||||
data_meter.time = result[k].time
|
||||
data_meter[k[4:]] = result[k].value.apply(float)
|
||||
return data_meter
|
||||
|
||||
def spider_station(self, device_id:str, time_start:int, time_end:int, header=None):
|
||||
""" 爬取站点数据 """
|
||||
if header is None:
|
||||
header = self.api_origin['header']
|
||||
|
||||
body = {
|
||||
"devType": "",
|
||||
"accessPointId": "",
|
||||
"pageNum": 1,
|
||||
"pageSize": 10,
|
||||
"businessType": "7",
|
||||
"devCode": device_id,
|
||||
"deptIds": []
|
||||
}
|
||||
|
||||
req = requests.post(API_Map['search_dev'][0], json=body, headers=header)
|
||||
json_data = req.json()
|
||||
if json_data['code'] != 200:
|
||||
""" 数据读取失败 """
|
||||
print(f"Get data fail, code={json_data['code']}, msg=\n\t{json_data['message']}")
|
||||
return pd.DataFrame([])
|
||||
elif search_dev := json_data['rows']:
|
||||
print(f"Search device success, len={len(search_dev)}")
|
||||
station_id = search_dev[0]['stationCode']
|
||||
else:
|
||||
print(f"Search device fail.")
|
||||
return pd.DataFrame([])
|
||||
|
||||
body = {
|
||||
"businessType": "7",
|
||||
"stationCode": station_id,
|
||||
}
|
||||
time.sleep(0.5)
|
||||
print(f"Get Data for Station: {station_id}")
|
||||
req = requests.post(API_Map['page'][0], json=body, headers=header)
|
||||
json_data = req.json()
|
||||
for dev in sorted(json_data['rows'], key=lambda x: x['devCode']):
|
||||
print(f"Dev: {dev['devTypeName']}, id={dev['devCode']}")
|
||||
time.sleep(0.5)
|
||||
fsu_id = dev['parentCode'] if 'parentCode' in dev.keys() else None
|
||||
self.get_real_data_by_net(dev['devCode'], fsu_id, header=header)
|
||||
time.sleep(0.5)
|
||||
match dev['devType']:
|
||||
case "0101":
|
||||
fsu_id = dev['devCode']
|
||||
case "0102":
|
||||
self.spider_adapter(dev['devCode'], time_start, time_end)
|
||||
case "0103":
|
||||
self.spider_meter(dev['devCode'], time_start, time_end)
|
||||
print(f"Station Done.")
|
||||
|
||||
def spider(self, device_id:str, time_start:int, time_end:int):
|
||||
""" 通用爬虫 """
|
||||
if device_id[:8] == "TTE0102DX":
|
||||
""" 适配器数据 """
|
||||
self.spider_adapter(device_id, time_start, time_end)
|
||||
elif device_id[:8] == "TTE0103DX":
|
||||
""" 电表数据 """
|
||||
self.spider_meter(device_id, time_start, time_end)
|
||||
|
||||
def graphs_adapter(self, device_id, time_start:int|str, time_end:int|str):
|
||||
""" 绘制图表-适配器数据 """
|
||||
if type(time_start) is str:
|
||||
time_start = time.mktime(time.strptime(time_start, r"%Y-%m-%d %H:%M:%S"))
|
||||
if type(time_end) is str:
|
||||
time_end = time.mktime(time.strptime(time_end, r"%Y-%m-%d %H:%M:%S"))
|
||||
data_volt_in = self.get_history_data_by_net(device_id, SemaMap["apt_volt_in"], time_start, time_end)
|
||||
data_curr_in = self.get_history_data_by_net(device_id, SemaMap["apt_curr_in"], time_start, time_end)
|
||||
data_volt_out = self.get_history_data_by_net(device_id, SemaMap["apt_volt_out"], time_start, time_end)
|
||||
data_power_out = self.get_history_data_by_net(device_id, SemaMap["apt_power_out"], time_start, time_end)
|
||||
data = self.spider_adapter(device_id, time_start, time_end)
|
||||
|
||||
combined_df = pd.concat([data_volt_in, data_curr_in, data_volt_out, data_power_out], ignore_index=True)
|
||||
self.data['history'] = pd.concat([self.data['history'], combined_df], ignore_index=True)
|
||||
self.save_history_data()
|
||||
self.chart_adapter(data)
|
||||
|
||||
data_adapter = pd.DataFrame([], columns=['time', 'volt_in', 'volt_out', 'curr_in', 'power_out'])
|
||||
data_adapter.time = data_volt_in.time
|
||||
data_adapter.volt_in = data_volt_in.value
|
||||
data_adapter.volt_out = data_volt_out.value
|
||||
data_adapter.curr_in = data_curr_in.value
|
||||
data_adapter.power_out = data_power_out.value
|
||||
|
||||
return data_adapter
|
||||
return data
|
||||
|
||||
def chart_adapter(self, data_adapter):
|
||||
""" 绘制适配器信息图表 """
|
||||
@@ -204,15 +369,30 @@ def sim_data_apt(times:tuple[int, int]):
|
||||
|
||||
|
||||
if __name__=='__main__':
|
||||
""" 主体调用流程 """
|
||||
if hasattr(__builtins__,"__IPYTHON__"):
|
||||
path_db = '../result/chinatowercom.db'
|
||||
else:
|
||||
path_db = 'result/chinatowercom.db'
|
||||
|
||||
# API_HEADER['authorization'] = 'Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOlsiIl0sInVzZXJfbmFtZSI6IndlYl9tYW5hZ2V8d2FuZ2xlaTQiLCJzY29wZSI6WyJhbGwiXSwiZXhwIjoxNzMyNTQzMzIyLCJ1c2VySWQiOjI0Mjg1LCJqdGkiOiI2MGZlZjYxNC0zM2QyLTQ5NjMtYjM5Mi1mNTJlYzJhM2RmYTEiLCJjbGllbnRfaWQiOiJ3ZWJfbWFuYWdlIn0.jumI9T8swSPCKITrCU06DWRea0tpvwCidw6jFP-F26JH0fRCp801fbzPs5kHkrgh-sm_ayzO2mD9NCkC2hoC-YDQs8HCvXHZXwtYpn3qJ6vpWRQrMr8Vwk8HnuxbFUn-8Ccs88hHOa8rtrEVsglfl0gqU1C8LL1rsHxgYI3MAwwU_eHo74jNjSHuIn79iq4Gyxc6lial6Pb6WWOw1erqKRGRQPcfUtAXMjwXbQ03vFk6G-As_u353yKvznsGR4A70hFHkJJGugK3en8kJO3_g3sE6ddcx0CYicucRLckro4Md_S8mIPkw2RgGEK38vvEo2fqiyT8E67dC5D4_zMw5A'
|
||||
data_lamina = Lamina_Data('sqlite:///result/chinatowercom.db')
|
||||
API_HEADER['Cookie'] = "HWWAFSESTIME=1735108780906; HWWAFSESID=1c91597e07b0014c4d; dc04ed2361044be8a9355f6efb378cf2=WyIzNTI0NjE3OTgzIl0"
|
||||
API_HEADER['authorization'] = 'Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOlsiIl0sInVzZXJfbmFtZSI6IndlYl9tYW5hZ2V8d2FuZ2xlaTQiLCJzY29wZSI6WyJhbGwiXSwiZXhwIjoxNzM1MjI2NDAyLCJ1c2VySWQiOjI0Mjg1LCJqdGkiOiJmNzA1ZTlkZC1mNTA5LTQwYzUtODFhNi0zYzdlMzhhZjE0ODgiLCJjbGllbnRfaWQiOiJ3ZWJfbWFuYWdlIn0.e8p-hKWoFyLJbtqKEvlIbLpz-_OB7Ak32d8qdTHNZEny12lUrUE0YYrWQTu0gGtT-eRNDJ62q51IUYOkM_5Ou0Qk2HLouR9-iygtgtjIno72466bv_ao5wvD2PZihXKaKet_c9mnpOqDpvaaApAU4_rk0u6Pg7uJG4stV-akaaMMqRLR-cK5ARePeyHophyGUx80kkSlnhYfGP2rJjEFva36iPaCzM6oiezObMoXWtAPw67vPS-5saTWnjYLrzxr3_s5Idk1pwWPNWfSa6Rl_YMKKiTdtWAEepyrxxOWVfMaeAQYt-ndHhxyBPjRluDTSwUViWmDidoFxkKPMQixVw'
|
||||
data_lamina = Lamina_Data('sqlite:///' + path_db)
|
||||
|
||||
today = datetime.datetime.today()
|
||||
yesterday = today - datetime.timedelta(days=1)
|
||||
today_midnight = today.replace(hour=0, minute=0, second=0, microsecond=0)
|
||||
yesterday_midnight = yesterday.replace(hour=0, minute=0, second=0, microsecond=0)
|
||||
today_midnight_timestamp = time.mktime(today_midnight.timetuple())
|
||||
yesterday_midnight_timestamp = time.mktime(yesterday_midnight.timetuple())
|
||||
|
||||
# 依据站点内设备爬取整个站点的实时与历史数据
|
||||
data = data_lamina.spider_station('TTE0102DX2406272727', yesterday_midnight_timestamp, today_midnight_timestamp)
|
||||
|
||||
# data = sim_data_apt(('2024-10-1 00:00:00', '2024-10-1 12:00:00'))
|
||||
# chart_apt(data)
|
||||
|
||||
if not hasattr(__builtins__,"__IPYTHON__"):
|
||||
table_apt = data_lamina.graphs_adapter('TTE0102DX2406180988', '2024-11-23 00:00:00', '2024-11-26 00:00:00')
|
||||
|
||||
data_lamina.chart_adapter(table_apt)
|
||||
while True:
|
||||
plt.waitforbuttonpress()
|
||||
|
||||
1466
source/dev_LaminaAdapter.ipynb
Normal file
1466
source/dev_LaminaAdapter.ipynb
Normal file
File diff suppressed because it is too large
Load Diff
@@ -154,15 +154,23 @@ if __name__=='__main__':
|
||||
# dev_lamina.frame_log()
|
||||
# dev_lamina.frame_read(0x1A0, 0x20)
|
||||
|
||||
|
||||
if not hasattr(__builtins__,"__IPYTHON__"):
|
||||
# 工程-即时转换
|
||||
# file_hex = Path(r"D:\WorkingProject\LightStackAdapter\software\lamina_adapter\lamina_adapter\Debug\lamina_adapter.hex")
|
||||
if dev_lamina.device == 'SLCP001':
|
||||
file_hex = Path(r"D:\WorkingProject\LightStackAdapter\software\lamina_adapter\release\device_V1\lamina_adapter\Debug\lamina_adapter.hex")
|
||||
# file_hex = Path(r"D:\WorkingProject\LightStackOptimizer\software\lamina_optimizer\lamina_optimizer\Debug\lamina_optimizer.hex")
|
||||
elif dev_lamina.device == 'SLCP101':
|
||||
file_hex = Path(r"D:\WorkingProject\LightStackAdapter\software\lamina_adapter\release\device_V2.03\lamina_adapter\Debug\lamina_adapter.hex")
|
||||
elif dev_lamina.device == 'SLCP102':
|
||||
file_hex = Path(r"D:\WorkingProject\LightStackAdapter\software\lamina_adapter\release\device_V3.01\lamina_adapter\Debug\lamina_adapter.hex")
|
||||
elif dev_lamina.device == 'DLSY001':
|
||||
file_hex = Path(r"D:\WorkingProject\LightStackOptimizer\software\lamina_optimizer\lamina_optimizer\Debug\lamina_optimizer.hex")
|
||||
else:
|
||||
file_hex = Path(r"D:\WorkingProject\LightStackAdapter\software\lamina_adapter\lamina_adapter\Debug\lamina_adapter.hex")
|
||||
if not file_hex.exists():
|
||||
raise Exception("工程编译目标文件不存在.")
|
||||
print(dev_lamina.device)
|
||||
print(file_hex)
|
||||
|
||||
if not hasattr(__builtins__,"__IPYTHON__"):
|
||||
version = "SLCP101_241030_2000_V2.03"
|
||||
addr = [0x24, 0x09, 0x12, 0x00, 0x00, 0x00]
|
||||
|
||||
|
||||
@@ -28,6 +28,26 @@ ParamMap_LaminaCombiner = {
|
||||
0x000: ["系统型号", 4, 16],
|
||||
0x010: ["程序版本", 4, 16],
|
||||
|
||||
0x100: ["主板温度" , 2, 10],
|
||||
0x101: ["输入电流1" , 2, 100],
|
||||
0x102: ["输入电流2" , 2, 100],
|
||||
0x103: ["输入电流3" , 2, 100],
|
||||
0x104: ["输入电流4" , 2, 100],
|
||||
0x105: ["输入电流5" , 2, 100],
|
||||
0x106: ["输入电流6" , 2, 100],
|
||||
0x107: ["输入电流7" , 2, 100],
|
||||
0x108: ["输入电流8" , 2, 100],
|
||||
|
||||
0x200: ["从板温度" , 2, 10],
|
||||
0x201: ["输入电流9" , 2, 100],
|
||||
0x202: ["输入电流10" , 2, 100],
|
||||
0x203: ["输入电流11" , 2, 100],
|
||||
0x204: ["输入电流12" , 2, 100],
|
||||
0x205: ["输入电流13" , 2, 100],
|
||||
0x206: ["输入电流14" , 2, 100],
|
||||
0x207: ["输入电流15" , 2, 100],
|
||||
0x208: ["输入电流16" , 2, 100],
|
||||
|
||||
0x800: ["设备地址", 5, 3],
|
||||
0x803: ["时间", 5, 3],
|
||||
0x806: ["文件记录日志级别", 1],
|
||||
@@ -193,11 +213,30 @@ if __name__ == '__main__':
|
||||
"dev10": {'device_id': 'TTE0101DX2406270018', # 张家港兆丰北单管塔
|
||||
'frame_print': True,
|
||||
'time_out': 4, 'retry': 1},
|
||||
"dev11": {'device_id': 'TTE0101DX2407290011', # 昆山市吴淞江污水厂基站机房
|
||||
'frame_print': True,
|
||||
'time_out': 4, 'retry': 1},
|
||||
"dev12": {'device_id': 'TTE0101DX2409210071', # 丰顺村铁路搬迁-光伏
|
||||
'frame_print': True,
|
||||
'time_out': 6, 'retry': 1},
|
||||
"dev13": {'device_id': 'TTE0101DX2410110017', # 张家港市福源纺织基站机房
|
||||
'frame_print': True,
|
||||
'time_out': 6, 'retry': 1},
|
||||
"dev14": {'device_id': 'TTE0101DX2406140008', # 张家港乐余良种场落地外爬单管塔
|
||||
'frame_print': True,
|
||||
'time_out': 6, 'retry': 1},
|
||||
"dev15": {'device_id': 'TTE0101DX2406270099', # 张家港塘市东落地景观塔
|
||||
'frame_print': True,
|
||||
'time_out': 6, 'retry': 1},
|
||||
"dev16": {'device_id': 'TTE0101DX2409210027', # 2017-YD：定州北只东
|
||||
'frame_print': True,
|
||||
'time_out': 6, 'retry': 1},
|
||||
}
|
||||
dev_lamina = LaminaStation(**mode_config["dev8"])
|
||||
dev_lamina = LaminaStation(**mode_config["dev16"])
|
||||
|
||||
dev_lamina.frame_read(0x0000, 0x20)
|
||||
# dev_lamina.frame_read(0x4100, 0x20)
|
||||
time.sleep(2)
|
||||
dev_lamina.frame_read(0x857, 0x40)
|
||||
|
||||
if not hasattr(__builtins__,"__IPYTHON__"):
|
||||
pass
|
||||
|
||||
@@ -47,6 +47,8 @@ ParamMap_LaminaAdapter = {
|
||||
0x54: ["主动故障命令" , 2],
|
||||
0x55: ["短时停机命令" , 2],
|
||||
|
||||
0x5E: ["抖动频率上限", 2, 100],
|
||||
0x5F: ["抖动频率下限", 2, 100],
|
||||
0x60: ["光伏通道使能", 1],
|
||||
0x61: ["最小启动输入电压", 2, 10],
|
||||
0x62: ["最大启动输入电压", 2, 10],
|
||||
@@ -229,7 +231,7 @@ class LaminaAdapter(DeviceSerial):
|
||||
self.block['data']['data_val'] = dval
|
||||
return self._transfer_data()
|
||||
|
||||
def frame_log(self, step='next') -> bool:
|
||||
def frame_read_log(self, step='next') -> bool:
|
||||
self.block['data']['type'] = 'log'
|
||||
self.block['data']['step'] = step
|
||||
return self._transfer_data()
|
||||
|
||||
Reference in New Issue
Block a user