Client for Faceplate powered by Ecomet database
Project description
PythonEcometClient
pip install PyFaceplateClient==0.0.1 pip install websockets=>8.1
from pyfaceplateclient import Client
1 Создать объект с необходимыми параметрами
host="host_ip_address" port="port" login="login" password="password"
a=ecomet.EcometClient(host, port, login, password)
2 Получить все доступные имена архивов
archives = a.get_names()
print(archives)
3 Выбрать имена архивов с необходимыми данными, датой и количество точек.
id_count=1 # идентификатор запроса (на перспективу) archives=['archive', 'AI_0->archive'] # список имен архивов (тип данных: list) start_date="2020-01-13T08:46:16Z" # дата-время начала чтения массива данных step_count=10 # кол-во точек считываемых из архива step_size=1 # шаг, измеряется в секундах
data = a.get_data(id_count, archives, start_date, step_count, step_size)
Example
from pyfaceplate import Client as cli
def main():
#1 Create connector
host="localhost"
port="4000"
a=ecomet.EcometClient(host, port, login="login", password="password")
#2 Get archive names
archives = a.get_names()
#3 Get all data
data = a.get_data(id_count=1, archives=archives, start_date="2020-01-13T08:46:16Z", step_count=100, step_size=10)
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