https://github.com/slayingripper/meteo_aprs

Meteo APRS uses the Cyprus Meterological Center's API to query and push data to the APRS Network. It downloads the XML file and covrets it to json (For easier handling) and queries the data for specific Stations. They are then pushed to the APRS network using TCP/IP.
https://github.com/slayingripper/meteo_aprs

aprs meteorology weather

Last synced: about 1 month ago
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Meteo APRS uses the Cyprus Meterological Center's API to query and push data to the APRS Network. It downloads the XML file and covrets it to json (For easier handling) and queries the data for specific Stations. They are then pushed to the APRS network using TCP/IP.

• Host: GitHub
• URL: https://github.com/slayingripper/meteo_aprs
• Owner: Slayingripper
• License: gpl-3.0
• Created: 2021-03-28T17:50:53.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-02-28T16:19:48.000Z (almost 3 years ago)
• Last Synced: 2024-01-29T16:36:34.664Z (11 months ago)
• Topics: aprs, meteorology, weather
• Language: Python
• Homepage:
• Size: 88.9 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# METEO APRS

![Alt text](https://github.com/Slayingripper/METEO_APRS/blob/main/logos/met.png) ![alt](https://github.com/Slayingripper/METEO_APRS/blob/main/logos/cars.png)

Meteo APRS uses the Cyprus Meterological Center's API to query and push data to the APRS Network.

It downloads the XML file and covrets it to json (For easier handling) and queries the data for specific 

Stations. They are then pushed to the APRS network using TCP/IP. 

## Requirments

1. Python 3.7 +

2. Aprslib

3. Figlet

## Issues to tackle

The "live" XML file provided by the Depratment of Metereology has a major incosistancy issue . For example,when updating the file it would sometimes remove some stations from the list which made using hard coded numbering impossible. One other flaw is that not all stations measure the same information which makes the accuratly  dippicting the area quite difficult . To get around this , data is used from neighbouring stations for example "Humidity" and "Wind Direction" .

```xml  

    

      Recom. Heavy Work Load

      100

      %

    

    

      Relative Humidity (1.2m)

      60

      %

    

    

      Accumulated Rainfall (10 min.)

      0.00

      mm

    

  

```

# Running

To run the program just run the main file : 

```

./meteoaprs.py 

```

## To Do

- [x] Sends data to APRS

- [x] Pulls data from API 

- [x] Fixes some of the format issues of API 

- [ ] Uses TNC to send data 

- [ ] config-file 

- [ ] refactoring