def to_cayenne_lpp(data):
"""Serialize plain data dictionary to binary CayenneLPP format.
:param data:
"""
from cayennelpp import LppFrame
frame = LppFrame()
for key, value in data.items():
# TODO: Maybe implement different naming conventions.
name = key.split("_")[0]
try:
channel = int(key.split("_")[1])
except IndexError:
channel = 0
if "temperature" in name:
frame.add_temperature(channel, value)
elif "digital-input" in name:
frame.add_digital_input(channel, value)
elif "digital_output" in name:
frame.add_digital_output(channel, value)
elif "analog-input" in name:
frame.add_analog_input(channel, value)
elif "analog-output" in name:
frame.add_analog_output(channel, value)
elif "illuminance" in name:
frame.add_illuminance(channel, value)
elif "presence" in name:
frame.add_presence(channel, value)
elif "humidity" in name:
frame.add_humidity(channel, value)
elif "accelerometer" in name:
frame.add_accelerometer(channel, value)
elif "barometer" in name:
frame.add_barometer(channel, value)
elif "gyrometer" in name:
frame.add_gyrometer(channel, value)
elif "gps" in name:
frame.add_gps(channel, value)
# TODO: Fork cayenneLPP and implement load cell telemetry.
# TODO: Add load encoder as ID 122 (3322)
# http://openmobilealliance.org/wp/OMNA/LwM2M/LwM2MRegistry.html#extlabel
# http://www.openmobilealliance.org/tech/profiles/lwm2m/3322.xml
elif False and "load" in name:
frame.add_load(channel, value)
# TODO: Map memfree and other baseline sensors appropriately.
else:
# TODO: raise Exception here?
log.info(
'[CayenneLPP] Sensor type "{}" not found in CayenneLPP'.format(
name))
return frame.bytes()
def to_cayenne_lpp(dataframe: DataFrame):
"""
Serialize dataframe to binary CayenneLPP format.
:param dataframe:
"""
from cayennelpp import LppFrame
frame = LppFrame()
channel = {}
channel['temp'] = 0
channel['ana_out'] = 0
channel['hum'] = 0
channel['press'] = 0
channel['scale'] = 0
# TODO: Iterate ``dataframe.readings`` to get more metadata from sensor configuration.
# It is a list of ``SensorReading`` instances, each having a ``sensor`` and ``data`` attribute.
for key, value in dataframe.data_out.items():
#log.debug('-' * 42)
# TODO: Maybe implement different naming conventions.
name = key.split("_")[0]
# try:
# channel = int(key.split(":")[1])
# except IndexError:
# channel = 0
if "temperature" in name:
frame.add_temperature(channel['temp'], value)
channel['temp'] += 1
elif "voltage" in name:
frame.add_analog_output(channel['ana_out'], value)
channel['ana_out'] += 1
elif "humidity" in name:
frame.add_humidity(channel['hum'], value)
channel['hum'] += 1
elif "pressure" in name:
frame.add_barometer(channel['press'], value)
channel['press'] += 1
elif "weight" in name:
frame.add_analog_input(channel['scale'], value)
channel['scale'] += 1
elif "analog-output" in name:
frame.add_analog_output(channel, value)
elif "analog-input" in name:
frame.add_analog_input(channel, value)
elif "digital-input" in name:
frame.add_digital_input(channel, value)
elif "digital_output" in name:
frame.add_digital_output(channel, value)
elif "illuminance" in name:
frame.add_luminosity(channel, value)
elif "barometer" in name:
frame.add_barometer(channel, value)
elif "presence" in name:
frame.add_presence(channel, value)
elif "accelerometer" in name:
frame.add_accelerometer(channel, value)
elif "gyrometer" in name:
frame.add_gyrometer(channel, value)
elif "gps" in name:
frame.add_gps(channel, value)
# TODO: Fork cayenneLPP and implement load cell telemetry.
# TODO: Add load encoder as ID 122 (3322)
# http://openmobilealliance.org/wp/OMNA/LwM2M/LwM2MRegistry.html#extlabel
# http://www.openmobilealliance.org/tech/profiles/lwm2m/3322.xml
# elif False and "load" in name:
# frame.add_load(channel, value)
# TODO: Map memfree and other baseline sensors appropriately.
else:
# TODO: raise Exception here?
log.info(
'[CayenneLPP] Sensor type "{}" not found in CayenneLPP'.format(
name))
return frame.bytes()
print('Link counter', lora.link_cnt)
# Cayenne lpp random value as analog
# PIBoinnet
# c = CayenneLPP()
# c.addAnalogInput(1,lora.frame_counter)
# c.addAnalogInput(2,myl)
# c.addTemperature(1,temp)
# c.addAnalogOutput(1,cpu)
# c.addAnalogOutput(1,ram)
frame = LppFrame()
frame.add_temperature(1, float(CPU_temp))
frame.add_analog_input(1, i)
frame.add_analog_input(2, i)
print("hier")
frame.add_analog_output(1, float(CPU_usage))
frame.add_analog_output(2, int(RAM_free))
print("frame ", str(frame))
print("frame counter", lora.link_cnt)
print(bytes.fromhex(str(binascii.hexlify(frame.bytes()).decode())))
lora.send(bytes.fromhex(str(binascii.hexlify(frame.bytes()).decode())))
# lora.send(bytes.fromhex(str(binascii.hexlify(frame.bytes()).decode() )))
# lora.send(bytes.fromhex('0102{:04x}'.format(randint(0, 0x7FFF))))
# lora.send(binascii.hexlify(frame.bytes()) )
# lorar.send("Hello")
while lora.nb_downlinks:
print('Received', lora.get_downlink()['data'].hex())
sleep(60)
i = i + 1
def to_cayenne_lpp_hiveeyes(dataframe: DataFrame):
"""
Serialize dataframe to binary CayenneLPP format.
:param dataframe:
"""
from cayennelpp import LppFrame
frame = LppFrame()
channel = {}
channel['temp'] = 10
channel['volt'] = 2
channel['pres'] = 1
channel['scal'] = 6
# TODO: Iterate ``dataframe.readings`` to get more metadata from sensor configuration.
# It is a list of ``SensorReading`` instances, each having a ``sensor`` and ``data`` attribute.
# log.info('dataframe.data_out.items : %s', dataframe.data_out.items())
for key, value in dataframe.data_out.items():
#log.debug('-' * 42)
# TODO: Maybe implement different naming conventions.
name = key.split("_")[0]
# channel = 0
if "system" in name:
if "voltage" in name:
# treat voltage as system sensors
# put battery voltage to channel 0
# put solar voltage to channel 1
# put other voltages to channel 2++
if "battery" in name:
chan = 0
elif "solar" in name:
chan = 1
else:
chan = channel['volt']
channel['volt'] += 1
frame.add_voltage(chan, value)
elif "temperature" in name:
frame.add_temperature(0, value)
elif "i2c" in name:
# assume BME280 on I2C bus as outside sensor and assign the variables to channel 5
if "temperature" in name:
frame.add_temperature(5, value)
elif "humidity" in name:
frame.add_humidity(5, value)
elif "pressure" in name:
frame.add_barometer(5, value)
elif "weight" in name:
# treat weight as outside sensor and assign to channel 5-9
# Channel 5 for single reading (weight.0))
# Channel 6-9 for multiple readings (weight.[1-4])
if name == "weight.0":
chan = 5
else:
chan = channel['scal']
channel['scal'] += 1
frame.add_load(chan, value)
elif "onewire" in name:
# assume DS18B20 as inside sensors and assign to channel 10++
if "temperature" in name:
frame.add_temperature(channel['temp'], value)
channel['temp'] += 1
elif "analog-output" in name:
frame.add_analog_output(channel, value)
elif "analog-input" in name:
frame.add_analog_input(channel, value)
elif "digital-input" in name:
frame.add_digital_input(channel, value)
elif "digital_output" in name:
frame.add_digital_output(channel, value)
elif "illuminance" in name:
frame.add_luminosity(channel, value)
elif "barometer" in name:
frame.add_barometer(channel, value)
elif "presence" in name:
frame.add_presence(channel, value)
elif "accelerometer" in name:
frame.add_accelerometer(channel, value)
elif "gyrometer" in name:
frame.add_gyrometer(channel, value)
#elif "gps" in name:
# frame.add_gps(channel, value)
# TODO: Fork cayenneLPP and implement load cell telemetry.
# TODO: Add load encoder as ID 122 (3322)
# http://openmobilealliance.org/wp/OMNA/LwM2M/LwM2MRegistry.html#extlabel
# http://www.openmobilealliance.org/tech/profiles/lwm2m/3322.xml
# elif False and "load" in name:
# frame.add_load(channel, value)
# TODO: Map memfree and other baseline sensors appropriately.
else:
# TODO: raise Exception here?
log.info('[CayenneLPP] Sensor type "{}" not found in CayenneLPP'.format(name))
return frame.bytes()