WeatherSleuth

Pull data via Python from Aercus Instruments Wireless Weather Station WeatherSleuth.

The Developers/Admins use case is for a WebTechnologies - https://www.bangor.ac.uk/computer-science-and-electronic-engineering/postgraduate-modules/ICE-4111 - module to incorporate the data into a customized website via Javascript calls into the Postgres database, of course you can use it however you like :)

This is the first iteration and will post modifications as I go (scope to move/create functions)

Requirements

Built on Ubuntu/OSX, but should work fine on Windows, just change clear to cls for the sys call

Python Packages

bs4
requests
os
psycopg2

Aercus Instruments Wireless Weather Station WeatherSleuth

I purchased mine from Amazon, other retailers are available

https://www.amazon.co.uk/gp/product/B00ZVFZUS6

Running

Modify the URL value to the IP address of your server (blue box with lights)

#globals
# URL to curl values from, pull the max
URL="http://YOURWEATHERSLUTHEIP/livedata.htm"

The script is self contained and running in a loop. The simpliest way is to just call the script

python3 scrape-weather.py

Whereby it will loop around scraping stats from the weathersluthe server

 Measurement             Value 
 -----------             ----- 
 Current Time            11:16 3/6/2021 
 Indoor Temp             22.8 
 Indoor Humidty          36 
 Absolute Pressure       1034.20 
 Realtive Pressure       1022.60 
 Outdoor Temperature     7.3 
 Outdoor Humidity        50 
 Wind Direction          50 
 Wind Speed              2.2 
 Wind Gust               4.0 
 Solar Radiation         485.77 
 UV                      412 
 UVI                     1 
 Rain Hourly             0.00 
 Rain Weekly             2.70 
 Rain Monthly            2.70 
 Rain Yearly             22.20

variables

The variables are documented, but for completeness are given here.

   time - format is "hh:mm m/d/y"
   intemp - float temp in celsius from internal measurement device
   inhumi - humidty in bars from from internal measurement device
   abspress - float of the absolute pressure from internal measurement device
   relpress - float of the realtive pressure
   outtemp - exterior temperature as record by external instrument
   outhumi - percentage value of outdoor humity 
   windir - direction of the wind 0= Northt, then as a clock face, i.e. 90=E, 180=S, 270=W
   windspeed - float of the current windspeed ()
   gustspeed - float of the gust speed
   solarrrad - Solar Radiation captured by Solar Panel as a float value
   uv - ultraviolet as a float from external measurement device (solar panel)
   uvi - ultraviolet integer index as calculated from external measurement device (solar panel)
   rainofhourly - float value of amount of rain collected in mm in the current hour from external device - can be wrong due to spiders who like to sleep in there
   rainofweekly - float value of amount of rain collected in mm in the current week from external device
   rainofmonthly - float value of amount of rain collected in mm in the current month from external device
   rainofyearly - float value of amount of rain collected in mm in the current year from external device

This allows to bolt on other modules (pandas/postgres,etc) to use the values as you please.

Added Database Section

Using Postgres

As postgres user

su - postgres
psql
create database weather;
create user weather with encrypted password 'myreallystrongpassword';
grant all privileges on database weather to weather;
\q

Create the weather local user

sudo bash
useradd weather
mkdir /home/weather
chown -R weather:weather /home/weather

Create Table

psql
create table weather (
   timestamp varchar(20),
   intemp real,
   inhumi real, 
   abspress real,
   relpress real,
   outtemp real,
   outhumi real,
   windir real,
   windspeed real,
   gustspeed real,
   solarrad real,
   uv real,
   uvi real,
   rainhourly real,
   rainweekly real,
   rainmonthly real,
   rainyearly real
);
\q

Modify connection info in # DB Section to reflect username/password/host.

DB Output

After intial run one entry will be insert, then every 5 minutes data scraped from the WebUI inserted into the DB.