h3xagn

[[processors.starlark]]
  namepass = ["opcua_plc1", "opcua_mplc"]
  order = 1
  source = '''
def apply(metric):
    new_fields = {}
    for field_key in list(metric.fields.keys()):
        if field_key != "Quality":
            tag_value = field_key
            metric.tags['tag_name'] = tag_value

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-- TimeScaleDB
SELECT 
  time_bucket('180 seconds', bucket) AS agtime,
  AVG(avg) as "lab_indoor_temp"
FROM 
  timeseries_60s 
WHERE 
  $__timeFilter("bucket") AND
  tagname = 'lab_indoor_temp'
GROUP BY agtime

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def WriteInfluxDB(timestamp: datetime, points_data: list) -> None:
    try:
        # Create a list of Point objects
        points = []

        for point_data in points_data:
            tag_name = point_data["tag_name"]
            tag_value = point_data["tag_value"]

            point = (

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def WriteSQLToDB(timestamp: datetime, data_points: list) -> None:
    try:
        sqlEngine = create_engine(
            db_conn,
            pool_recycle=300,
            pool_pre_ping=True,
            connect_args={"connect_timeout": 20},
        )

        # Build a single SQL statement with multiple VALUES

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let payload = msg.payload;

let timestamp = new Date(payload.timestamp);
timestamp = Math.floor(timestamp.getTime() / 1000);

let lp_msg = {
   "payload": "homedb,sensor=lab_indoor_temp value=" + payload.value + " " + timestamp
}

return lp_msg;

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# import libraries
import os
import sys
import time
import pika


def main():
    # set up connection to RabbitMQ
    connection = pika.BlockingConnection(pika.ConnectionParameters(host="localhost"))

h3xagn

import time
import requests
from datetime import datetime

# URL to read the data from Geyserwala
URL = "http://192.168.2.20/api/value?f=status,tank-temp,collector-temp,element-demand,pump-status,element-seconds,element-cycles,pump-seconds,pump-cycles"

# Connect to Geyserwala and read the parameters
while True:

h3xagn

import time
from datetime import datetime

from deye_controller import HoldingRegisters
from pysolarmanv5 import PySolarmanV5

# Parameters to read from the inverter
# [register, name, unit, multiplier]
parameters = [
	[172, "grid_ct_power_W", "W", 1],

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from datetime import datetime
from sqlalchemy import create_engine, text

# Database connection string
db_conn = "postgresql://username:password@192.168.2.10:5432/tsdb"

# Write the data to the database
def WriteSQLToDB(timestamp: datetime, tag_name: str, tag_value: float) -> None:
    try:
        sqlEngine = create_engine(db_conn, pool_recycle=300, pool_pre_ping=True, connect_args={"connect_timeout": 20})

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{
  "ns=3;s=\"analog data\".\"Level\"": {
    "tagName": "analogdata_Level"
  },
  "ns=3;s=\"analog data\".\"Current\"": {
    "tagName": "analogdata_Current"
  },
  "ns=3;s=\"analog data\".\"Speed\"": {
    "tagName": "analogdata_Speed"
  },