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https://github.com/anthonyborriello/metar-sms
Send Metar report via SMS using Gammu
https://github.com/anthonyborriello/metar-sms
Last synced: about 2 months ago
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Send Metar report via SMS using Gammu
- Host: GitHub
- URL: https://github.com/anthonyborriello/metar-sms
- Owner: anthonyborriello
- License: gpl-3.0
- Created: 2024-05-06T14:14:08.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-05-15T13:51:21.000Z (8 months ago)
- Last Synced: 2024-05-16T03:11:38.311Z (8 months ago)
- Language: Shell
- Size: 60.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# METAR SMS Notifier
This Bash script allows users to fetch METAR (Meteorological Aerodrome Report) data for a given airport using its ICAO code.
It then sends the result via SMS using a GSM-USB dongle.
Something like the Huawei E-3531, ZTE MF-627 or Huawei E392 for LTE.
## Usage
1. **Clone or Download the Repository**: Click the green "Code" button and select "Download ZIP" to download the repository as a ZIP file. Extract the contents to a folder on your computer.
Alternatively, you can copy and paste the following commands into your terminal to download the script directly:
```bash
curl -O https://raw.githubusercontent.com/anthonyborriello/metar-sms/main/metar_sms.sh
```
2. **Install gammu**: Make sure you have [gammu](https://wammu.eu/gammu/) installed and configured for sending SMS. If you haven't installed gammu yet, you can do so by running the following command in your terminal:
```bash
sudo apt install gammu
```
3. **Run the Script**:
**Linux/Raspberry Pi**: Open Terminal and navigate to the folder where you extracted the repository. Then, execute the following commands to make the script executable and run it:
```chmod +x metar_sms.sh
bash metar_sms.sh
```
4. **Follow the Prompts**: The script will prompt you to input the ICAO code of the airport and the destination phone number for SMS. Follow the prompts to enter the required information.
## Acknowledgements
Thanks to [aviationweather.gov](https://aviationweather.gov/) for providing the METAR data used in this script.
## License
This script is licensed under the [MIT License](LICENSE).
## Author
Antonio Borriello
[antonioborriello.wordpress.com](https://antonioborriello.wordpress.com)
