pyflowercare 0.4.3

Python library for communicating with FlowerCare (Xiaomi MiFlora) Bluetooth plant sensors

PyFlowerCare

A Python library for communicating with FlowerCare (Xiaomi MiFlora) Bluetooth plant sensors.

Features

• Device Discovery: Scan and discover FlowerCare devices via Bluetooth Low Energy
• Real-time Sensor Data: Read temperature, brightness, soil moisture, and conductivity
• Historical Data: Access stored historical measurements from the device
• Device Management: Connect, disconnect, and manage multiple devices
• Async Support: Full asyncio support for non-blocking operations
• Error Handling: Comprehensive exception handling with meaningful error messages

Installation

pip install pyflowercare

Requirements

• Python 3.9+
• Bluetooth Low Energy support
• Linux/macOS/Windows with Bluetooth adapter

Quick Start

Basic Usage

import asyncio
from pyflowercare import FlowerCareScanner

async def main():
    scanner = FlowerCareScanner()
    
    # Scan for devices
    devices = await scanner.scan_for_devices(timeout=10.0)
    
    if devices:
        device = devices[0]
        
        # Connect and read data
        async with device:
            sensor_data = await device.read_sensor_data()
            print(f"Temperature: {sensor_data.temperature}°C")
            print(f"Moisture: {sensor_data.moisture}%")
            # brightness/conductivity may be None ("not measured")
            if sensor_data.brightness is not None:
                print(f"Brightness: {sensor_data.brightness} lux")
            if sensor_data.conductivity is not None:
                print(f"Conductivity: {sensor_data.conductivity} µS/cm")

asyncio.run(main())

Device Information

async with device:
    info = await device.get_device_info()
    print(f"Device: {info.name}")
    print(f"MAC: {info.mac_address}")
    print(f"Battery: {info.battery_level}%")
    print(f"Firmware: {info.firmware_version}")

Historical Data

async with device:
    history = await device.get_historical_data()
    
    for entry in history[-5:]:  # Last 5 entries
        print(f"{entry.timestamp}: {entry.sensor_data}")

Continuous Monitoring

import asyncio
from datetime import datetime
from pyflowercare import FlowerCareScanner

async def monitor_device(device):
    while True:
        try:
            async with device:
                while True:
                    data = await device.read_sensor_data()
                    timestamp = datetime.now().strftime("%H:%M:%S")
                    print(f"[{timestamp}] {data}")
                    await asyncio.sleep(60)  # Read every minute
        except Exception as e:
            print(f"Error: {e}")
            await asyncio.sleep(5)  # Retry after 5 seconds

async def main():
    scanner = FlowerCareScanner()
    devices = await scanner.scan_for_devices()
    
    # Monitor all found devices
    tasks = [monitor_device(device) for device in devices]
    await asyncio.gather(*tasks)

asyncio.run(main())

API Reference

FlowerCareScanner

• scan_for_devices(timeout=10.0): Scan for FlowerCare devices
• find_device_by_address(device_address, timeout=10.0): Build a device directly from an address — MAC (C4:7C:8D:...) or UUID-style identifier (macOS) — without scanning. Returns None if the address is malformed.
• scan_continuously(callback, timeout=None): Continuous scanning with callback
• scan_stream(timeout=None): Async generator for device discovery

FlowerCareDevice

• connect(timeout=10.0): Connect to device
• disconnect(): Disconnect from device
• read_sensor_data(): Read current sensor measurements
• get_device_info(): Get device information (name, MAC, battery, firmware)
• get_historical_data(): Get stored historical measurements. On a mid-read BLE drop it reconnects and resumes; if it still can't finish it returns the entries collected so far. Check last_history_complete to tell a full read from a partial one.
• last_history_complete (property): True if the last get_historical_data() ran to completion, False if it returned partial data after an interrupted read.
• blink_led(): Make device LED blink

Data Models

SensorData

• temperature: Temperature in Celsius (signed; negative readings are valid)
• brightness: Light intensity in lux, or None if the sensor did not measure it
• moisture: Soil moisture percentage
• conductivity: Soil conductivity in µS/cm, or None if the sensor did not measure it
• timestamp: Measurement timestamp

In historical data, slots the sensor never fully wrote are skipped, and unmeasured brightness/conductivity fields come back as None rather than as sentinel values. Guard for None before using them.

DeviceInfo

• name: Device name
• mac_address: MAC address
• firmware_version: Firmware version
• battery_level: Battery level percentage

Error Handling

The library provides specific exception types:

from pyflowercare.exceptions import (
    FlowerCareError,      # Base exception
    ConnectionError,      # Connection failures
    DeviceError,         # Device operation errors
    DataParsingError,    # Data parsing errors
    TimeoutError         # Operation timeouts
)

try:
    async with device:
        data = await device.read_sensor_data()
except ConnectionError as e:
    print(f"Failed to connect: {e}")
except DeviceError as e:
    print(f"Device error: {e}")

Logging

Enable logging to see detailed operation information:

from pyflowercare import setup_logging

setup_logging("DEBUG")  # Enable debug logging

Examples

See the examples/ directory for more comprehensive examples:

• basic_usage.py: Simple device connection and data reading
• continuous_monitoring.py: Continuous monitoring of multiple devices
• historical_data.py: Historical data retrieval and CSV export

Troubleshooting

Permission Issues (Linux)

sudo setcap cap_net_raw+eip $(eval readlink -f `which python`)

Bluetooth Not Available

Ensure your system has Bluetooth Low Energy support and the adapter is enabled.

Device Not Found

• Ensure the FlowerCare device is nearby and not connected to another app
• Try increasing the scan timeout
• Check that the device battery is not depleted

License

This project is licensed under the MIT License.

Contributing

Contributions are welcome! Please feel free to submit issues and enhancement requests.