This Python script checks the temperature and decides whether to turn on the floor cooling system based on a specified threshold. The script continuously monitors the temperature every hour in an infinite loop.
Temperature Monitoring: Checks the temperature at intervals specified in the .env file.
Threshold-Based Control: Compares the current temperature to a set threshold and turns on the cooling if the temperature exceeds it.
API Integration: Fetches real-time temperature data using the OpenWeatherMap API.
Logging: Logs temperature data and any errors to a temperature_log.txt file.
Environment Configuration: Uses a .env file to set the temperature threshold, API key, location, and data retrieval interval.
TEMP_THRESHOLD: Sets the temperature threshold in Celsius. If the outside temperature rises above this value, the cooling system will activate. This value is read from the .env file.
Example: TEMP_THRESHOLD=25 will turn on cooling when the temperature exceeds 25°C.
API_KEY: Your API key for the weather service (e.g., OpenWeatherMap). This key is required to fetch temperature data from the API.
Example: API_KEY=your_api_key_here
LOCATION: The location (city, region, or other acceptable identifier) for which to retrieve the temperature.
Example: LOCATION=London,UK
RETRIEVAL_INTERVAL: The interval (in seconds) at which the script retrieves the temperature data. This allows for flexible monitoring intervals.
Example: RETRIEVAL_INTERVAL=3600 (for an hourly check)
Ensure Python 3 is installed.
pip install python-dotenv
In the project directory, ensure the .env file includes the desired temperature threshold, API key and retrieval interval, for example:
TEMP_THRESHOLD=21
Replace 21 with your desired temperature threshold in Celsius.
python floor_cooling_system.py
The program will continuously monitor the temperature at the specified interval, log the data to temperature_log.txt, and control the cooling system based on the specified threshold.
Temperature Data: The script logs each successful temperature retrieval along with the timestamp. Error Logging: If there is an issue with fetching the temperature data, the error will be logged in temperature_log.txt.
Ensure that the temperature_log.txt file is created automatically by the script or verify that the script has permission to write to the project directory.
The OpenWeatherMap API requires a valid API key, so make sure to sign up and get your key if you don’t have one.