panoptes-aag 0.0.1

Weather service for the Lunatico AAG CloudWatcher.

aag-weather

Weather service for the Lunatico AAG CloudWatcher.

This is a simple weather service for the Lunatico AAG CloudWatcher. It is intended to be used with the aag-cloudwatcher.

There are two main components to this project:

1. The aag-weather command line tool.
2. FastAPI web service.

The aag-weather command line tool is used to read the weather data from the CloudWatcher and store it in a file.

The web service is used to serve the weather data to a web browser as json, which can be read by various tools. If using POCS you can use the pocs sensor monitor command to read the weather data continuously.

Installation

Install with pip:

pip install panoptes-aag

Or from a local repository:

git clone https://github.com/panoptes/aag-weather
cd aag-weather
pip install -e .

Usage

You can use either the aag-weather command line tool or the web service to read the weather data.

Web service

Starting

The web service can be run with the aag-weather command line tool:

aag-weather serve

The host and port can be specified with the --host and --port options.

Reading

The web service will serve the weather data as json. The data can be accessed by going to the /weather endpoint. For example, if the web service is running on localhost on port 8080 then the weather data can be accessed at http://localhost:8000/weather.

The httpie is installed with this package and can be used to read the weather data from the command line:

http :8080/weather

Command line

Starting

The aag-weather command line tool can be used to read the weather data from the CloudWatcher and store it in a file. The aag-weather command line tool can be run with:

aag-weather capture

See aag-weather capture --help for more options.

Reading

When the aag-weather command line tool is running it will write the weather data to a file. The default file is weather.csv in the current directory. You can change the format by specifying a different output file when capturing, for example:

aag-weather capture --output-file weather.json

Configuration

The aag-weather command line tool and web service are pydantic settings and can be configured with environment variables or a config.env file in the directory from which the command is run.

The environment variables are prepended with AAG_. The main configuration options are:

Environment variable	Default	Description
AAG_SERIAL_PORT	/dev/ttyUSB0	The serial port to use to connect to the CloudWatcher.
AAG_SAFETY_DELAY	15	Minutes after an unsafe reading before the system is safe again.
AAG_CAPTURE_DELAY	30	Seconds between readings.
AAG_NUM_READINGS	10	Number of readings to use for averaging.
AAG_IGNORE_UNSAFE	None	None, otherwise can be a list, e.g. 'rain','cloud','gust','wind'

Additionally, you can set the thresholds options as well as options to control the heater. These options are "nested" and so use a double underscore (e.g. __) to separate the levels.

Environment variable	Default	Description
AAG_THRESHOLDS__CLOUDY	-25	Difference between sky and ambient temperatures in Celsius.
AAG_THRESHOLDS__VERY_CLOUDY	-15	Difference between sky and ambient temperatures in Celsius.
AAG_THRESHOLDS__WINDY	50	Wind speed in km/h.
AAG_THRESHOLDS__VERY_WINDY	75	Wind speed in km/h.
AAG_THRESHOLDS__GUSTY	100	Wind gust speed in km/h.
AAG_THRESHOLDS__VERY_GUSTY	125	Wind gust speed in km/h.
AAG_THRESHOLDS__WET	2200	Wetness in Ohms.
AAG_THRESHOLDS__RAINY	1800	Rain in Ohms.
AAG_HEATER__MIN_POWER	0	Minimum power to use for the heater.
AAG_HEATER__LOW_TEMP	0	Temperature in Celsius.
AAG_HEATER__LOW_DELTA	6	Difference between sky and ambient temperatures in Celsius.
AAG_HEATER__HIGH_TEMP	20	Temperature in Celsius.
AAG_HEATER__HIGH_DELTA	4	Difference between sky and ambient temperatures in Celsius.
AAG_HEATER__IMPULSE_TEMP	10	Temperature in Celsius.
AAG_HEATER__IMPULSE_DURATION	60	Duration in seconds.
AAG_HEATER__IMPULSE_CYCLE	600	Cycle in seconds.

Misc

This project has been set up using PyScaffold 4.4.1. For details and usage information on PyScaffold see https://pyscaffold.org/.