bandaangosta

# !/bin/bash

# Steps:
#   - Run query in Kibana
#   - Export results to CSV file: Share -> CSV Reports -> Generate CSV
#     (you may be required to "Save search" first. Use a temporary name and keep overwriting it to reduce entries)
#   - Download generated CSV once generated (it takes a short while)
#   - Run script on local file as shown below
#   - Profit
#

bandaangosta

# Reading PZEM-004t power sensor (new version v3.0) through Modbus-RTU protocol over TTL UART
# Run as:
# python3 pzem_004t.py

# To install dependencies: 
# pip install modbus-tk
# pip install pyserial

import serial
import modbus_tk.defines as cst

bandaangosta

#! /usr/bin/env python3

# Print Docker containers log size
# Needs to 'pip install docker' first
# 
# $ sudo ./docker_logs_size.py
# 658675d834 reverse-proxy_1: 10.31 KB
# 85f65ece1d webroot_1: 13.1 KB
# 34c6cc54ab redis_1: 18.81 KB
# 05a3c8b895 mysql_8.0_1: 48.69 KB

bandaangosta

#!/bin/bash

# From: https://forums.linuxmint.com/viewtopic.php?f=90&t=217741
# Credits to user BlackVeils

# Steps:
# 1. Save this script to battery_notify.sh
# 2. Edit the 'alarm' variable to point to your sound file of choice
# 3. Give execution permission: chmod +x battery_notify.sh
# 4. Run the script to test it. If happy, add to your startup applications.

bandaangosta

from smartsheet import *
import pandas as pd
from credentials import smartsheet_token

smartsheet = smartsheet.Smartsheet(smartsheet_token)

def get_sheet_as_df(sheet_id):
    ss1 = smartsheet.Sheets.get_sheet(sheet_id, page_size=0)
    row_count = ss1.total_row_count
    ss1 = smartsheet.Sheets.get_sheet(sheet_id, page_size=row_count)