def record_dispersal(self, amount_ml=None, seconds_to_run=None):
measure_dict = copy.deepcopy(measurements_dict)
if amount_ml:
measure_dict[0]['value'] = amount_ml
if seconds_to_run:
measure_dict[1]['value'] = seconds_to_run
add_measurements_influxdb(self.unique_id, measure_dict)
def output_switch(self, state, output_type=None, amount=None):
measure_dict = copy.deepcopy(measurements_dict)
if self.pwm_command:
if state == 'on' and 0 <= amount <= 100:
if self.pwm_invert_signal:
amount = 100.0 - abs(amount)
elif state == 'off':
if self.pwm_invert_signal:
amount = 100
else:
amount = 0
else:
return
self.pwm_state = amount
cmd = self.pwm_command.replace('((duty_cycle))', str(amount))
cmd_return, cmd_error, cmd_status = cmd_output(
cmd, user=self.linux_command_user)
measure_dict[0]['value'] = self.pwm_state
add_measurements_influxdb(self.unique_id, measure_dict)
self.logger.debug("Duty cycle set to {dc:.2f} %".format(dc=amount))
self.logger.debug(
"Output duty cycle {duty_cycle} command returned: "
"Status: {stat}, "
"Output: '{ret}', "
"Error: '{err}'".format(duty_cycle=amount,
stat=cmd_status,
ret=cmd_return,
err=cmd_error))
def output_switch(self,
state,
output_type=None,
amount=None,
duty_cycle=None):
measure_dict = copy.deepcopy(measurements_dict)
if state == 'on':
if self.pwm_invert_signal:
duty_cycle = 100.0 - abs(duty_cycle)
elif state == 'off':
if self.pwm_invert_signal:
duty_cycle = 100
else:
duty_cycle = 0
if self.pwm_library == 'pigpio_hardware':
self.pwm_output.hardware_PWM(self.pin, self.pwm_hertz,
int(duty_cycle * 10000))
elif self.pwm_library == 'pigpio_any':
self.pwm_output.set_PWM_frequency(self.pin, self.pwm_hertz)
self.pwm_output.set_PWM_range(self.pin, 1000)
self.pwm_output.set_PWM_dutycycle(
self.pin, self.duty_cycle_to_pigpio_value(duty_cycle))
measure_dict[0]['value'] = duty_cycle
add_measurements_influxdb(self.unique_id, measure_dict)
self.logger.debug("Duty cycle set to {dc:.2f} %".format(dc=duty_cycle))
def output_switch(self,
state,
output_type=None,
amount=None,
output_channel=None):
measure_dict = copy.deepcopy(measurements_dict)
if amount not in [None, 0]:
if amount > 0:
self.stepper_running = True
self.stepper.enable(True)
self.stepper.run(amount, True)
self.stepper.enable(False)
self.stepper_running = True
else:
self.stepper_running = True
self.stepper.enable(True)
self.stepper.run(abs(amount), False)
self.stepper.enable(False)
self.stepper_running = False
measure_dict[0]['value'] = amount
elif state == "off":
self.stepper.enable(False)
self.stepper_running = False
else:
self.logger.error(
"Invalid parameters: State: {state}, Type: {ot}, Amount: {amt}"
.format(state=state, ot=output_type, amt=amount))
return
add_measurements_influxdb(self.unique_id, measure_dict)
def output_switch(self,
state,
output_type=None,
amount=None,
output_channel=None):
measure_dict = copy.deepcopy(measurements_dict)
if amount not in [None, 0]:
if amount > 0:
self.stepper_running = True
self.stepper.motor_run(
self.pins, self.options_channels['step_delay'][0],
int(abs(amount)), False, False,
self.options_channels['step_resolution'][0], .05)
self.stepper_running = False
elif amount < 0:
self.stepper_running = True
self.stepper.motor_run(
self.pins, self.options_channels['step_delay'][0],
int(abs(amount)), True, False,
self.options_channels['step_resolution'][0], .05)
self.stepper_running = False
measure_dict[0]['value'] = amount
add_measurements_influxdb(self.unique_id, measure_dict)
else:
self.logger.error(
"Invalid parameters: State: {state}, Type: {ot}, Amount: {amt}"
.format(state=state, ot=output_type, amt=amount))
def output_switch(self, state, amount=None, duty_cycle=None):
measure_dict = measurements_dict.copy()
if state == 'on' and amount > 0:
if self.output_mode == 'fastest_flow_rate':
minutes_to_run = amount * 105
write_cmd = 'D,{ml:.2f}'.format(ml=amount)
elif self.output_mode == 'specify_flow_rate':
minutes_to_run = amount / self.output_flow_rate
write_cmd = 'D,{ml:.2f},{min:.2f}'.format(
ml=amount, min=minutes_to_run)
else:
self.logger.error("Invalid output_mode: '{}'".format(
self.output_mode))
return
elif state == 'off' or amount <= 0:
write_cmd = 'X'
amount = 0
minutes_to_run = 0
else:
self.logger.error(
"Invalid parameters: State: {state}, Volume: {vol}, "
"Flow Rate: {fr}".format(
state=state, vol=amount, fr=self.output_flow_rate))
return
self.atlas_command.write(write_cmd)
self.logger.debug("EZO-PMP command: {}".format(write_cmd))
if amount and minutes_to_run:
measure_dict[0]['value'] = amount
measure_dict[1]['value'] = minutes_to_run
add_measurements_influxdb(self.output_unique_id, measure_dict)
def output_switch(self,
state,
output_type=None,
amount=None,
output_channel=None):
measure_dict = copy.deepcopy(measurements_dict)
if state == 'on':
if self.options_channels['pwm_invert_signal'][0]:
amount = 100.0 - abs(amount)
elif state == 'off':
if self.options_channels['pwm_invert_signal'][0]:
amount = 100
else:
amount = 0
if self.options_channels['pwm_library'][0] == 'pigpio_hardware':
self.pwm_output.hardware_PWM(self.options_channels['pin'][0],
self.options_channels['pwm_hertz'][0],
int(amount * 10000))
elif self.options_channels['pwm_library'][0] == 'pigpio_any':
self.pwm_output.set_PWM_frequency(
self.options_channels['pin'][0],
self.options_channels['pwm_hertz'][0])
self.pwm_output.set_PWM_range(self.options_channels['pin'][0],
1000)
self.pwm_output.set_PWM_dutycycle(
self.options_channels['pin'][0],
self.duty_cycle_to_pigpio_value(amount))
measure_dict[0]['value'] = amount
add_measurements_influxdb(self.unique_id, measure_dict)
self.logger.debug("Duty cycle set to {dc:.2f} %".format(dc=amount))
return "success"
def output_switch(self,
state,
output_type=None,
amount=None,
output_channel=None):
measure_dict = copy.deepcopy(measurements_dict)
if amount not in [None, 0]:
if (self.options_channels['pin_enable'][0]
and self.options_channels['enable_mode'][0] == "only_run"):
self.stepper.enable(True)
if amount > 0:
self.stepper.run(int(amount), True)
elif amount < 0:
self.stepper.run(int(abs(amount)), False)
if (self.options_channels['pin_enable'][0]
and self.options_channels['enable_mode'][0] == "only_run"):
self.stepper.enable(False)
measure_dict[0]['value'] = amount
elif state == "off":
if (self.options_channels['pin_enable'][0]
and self.options_channels['enable_mode'][0] == "only_run"):
self.stepper.enable(False)
if self.stepper.running:
self.stepper.stop_running()
else:
self.logger.error(
"Invalid parameters: State: {state}, Type: {ot}, Amount: {amt}"
.format(state=state, ot=output_type, amt=amount))
return
add_measurements_influxdb(self.unique_id, measure_dict)
def record_dispersal(self, amount, total_on_seconds,
total_dispense_seconds):
measure_dict = copy.deepcopy(measurements_dict)
measure_dict[0]['value'] = total_on_seconds
measure_dict[1]['value'] = amount
measure_dict[2]['value'] = total_dispense_seconds
add_measurements_influxdb(self.unique_id, measure_dict)
def output_switch(self,
state,
output_type=None,
amount=None,
duty_cycle=None):
measure_dict = copy.deepcopy(measurements_dict)
if self.pwm_command:
if state == 'on' and 100 >= duty_cycle >= 0:
if self.pwm_invert_signal:
duty_cycle = 100.0 - abs(duty_cycle)
elif state == 'off' or duty_cycle == 0:
if self.pwm_invert_signal:
duty_cycle = 100
else:
duty_cycle = 0
else:
return
self.output_run_python_pwm.output_code_run(duty_cycle)
self.pwm_state = duty_cycle
measure_dict[0]['value'] = duty_cycle
add_measurements_influxdb(self.unique_id, measure_dict)
self.logger.debug(
"Duty cycle set to {dc:.2f} %".format(dc=duty_cycle))
def output_switch(self,
state,
output_type=None,
amount=None,
output_channel=None):
if not self.is_setup():
msg = "Error 101: Device not set up. See https://kizniche.github.io/Mycodo/Error-Codes#error-101 for more info."
self.logger.error(msg)
return msg
measure_dict = copy.deepcopy(measurements_dict)
if amount not in [None, 0]:
if amount > 0:
self.stepper_running = True
self.stepper.motor_run(
self.pins, self.options_channels['step_delay'][0],
int(abs(amount)), False, False,
self.options_channels['step_resolution'][0], .05)
self.stepper_running = False
elif amount < 0:
self.stepper_running = True
self.stepper.motor_run(
self.pins, self.options_channels['step_delay'][0],
int(abs(amount)), True, False,
self.options_channels['step_resolution'][0], .05)
self.stepper_running = False
measure_dict[0]['value'] = amount
add_measurements_influxdb(self.unique_id, measure_dict)
else:
self.logger.error(
"Invalid parameters: State: {state}, Type: {ot}, Amount: {amt}"
.format(state=state, ot=output_type, amt=amount))
def test_influxdb():
"""Verify measurements can be written and read from influxdb."""
print("\nTest: test_influxdb")
device_id = 'ID_ASDF'
channel = 0
measurement = 'duty_cycle'
unit = 'percent'
written_measurement = 123.45
measurements_dict = {
channel: {
'measurement': measurement,
'unit': unit,
'value': written_measurement
}
}
add_measurements_influxdb(device_id, measurements_dict, block=True)
last_measurement = read_influxdb_single(
device_id,
unit,
0,
measure=measurement,
duration_sec=1000,
value='LAST')
print(f"Returned measurement: {last_measurement}")
assert last_measurement
returned_measurement = last_measurement[1]
assert returned_measurement == written_measurement
def output_switch(self,
state,
output_type=None,
amount=None,
output_channel=None):
measure_dict = copy.deepcopy(measurements_dict)
if state == 'on':
if self.options_channels['pwm_invert_signal'][output_channel]:
amount = 100.0 - abs(amount)
elif state == 'off':
if self.options_channels['pwm_invert_signal'][output_channel]:
amount = 100
else:
amount = 0
self.pwm_output.set_pwm(
self.options_channels['pwm_hertz'][output_channel], amount)
self.pwm_duty_cycles[output_channel] = amount
measure_dict[output_channel]['value'] = amount
add_measurements_influxdb(self.unique_id, measure_dict)
self.logger.debug(
"Duty cycle of channel {ch} set to {dc:.2f} %".format(
ch=output_channel, dc=amount))
return "success"
def output_switch(self,
state,
output_type=None,
amount=0,
output_channel=None):
measure_dict = copy.deepcopy(measurements_dict)
output_amount = 0
if state == 'on':
if self.options_channels['pwm_invert_signal'][output_channel]:
output_amount = 100.0 - abs(amount)
else:
output_amount = abs(amount)
elif state == 'off':
if self.options_channels['pwm_invert_signal'][output_channel]:
output_amount = 100
else:
output_amount = 0
off_at_tick = round(output_amount * 4095. / 100.)
self.pwm_output.set_pwm(output_channel, 0, off_at_tick)
self.pwm_duty_cycles[output_channel] = amount
measure_dict[output_channel]['value'] = amount
add_measurements_influxdb(self.unique_id, measure_dict)
self.logger.debug(
"Duty cycle of channel {ch} set to {dc:.2f} % (switched off for {off_at_tick:d} of 4095 ticks)"
.format(ch=output_channel, dc=amount, off_at_tick=off_at_tick))
return "success"
def add_measurement_influxdb(self, channel, measurement):
# Convert value/unit is conversion_id present and valid
if self.channels_conversion[channel]:
conversion = db_retrieve_table_daemon(
Conversion,
unique_id=self.channels_measurement[channel].conversion_id)
if conversion:
meas = parse_measurement(
self.channels_conversion[channel],
self.channels_measurement[channel],
measurement,
channel,
measurement[channel],
timestamp=measurement[channel]['timestamp_utc'])
measurement[channel]['measurement'] = meas[channel][
'measurement']
measurement[channel]['unit'] = meas[channel]['unit']
measurement[channel]['value'] = meas[channel]['value']
if measurement:
self.logger.debug(
"Adding measurement to influxdb: {}".format(measurement))
add_measurements_influxdb(self.unique_id,
measurement,
use_same_timestamp=INPUT_INFORMATION[
'measurements_use_same_timestamp'])
def output_switch(self,
state,
output_type=None,
amount=None,
output_channel=None):
measure_dict = copy.deepcopy(measurements_dict)
if self.options_channels['pwm_command'][0]:
if state == 'on' and 100 >= amount >= 0:
if self.options_channels['pwm_invert_signal'][0]:
amount = 100.0 - abs(amount)
elif state == 'off' or amount == 0:
if self.options_channels['pwm_invert_signal'][0]:
amount = 100
else:
amount = 0
else:
return
self.output_run_python_pwm.output_code_run(amount)
self.output_states[0] = amount
measure_dict[0]['value'] = amount
add_measurements_influxdb(self.unique_id, measure_dict)
self.logger.debug("Duty cycle set to {dc:.2f} %".format(dc=amount))
def output_switch(self,
state,
output_type=None,
amount=None,
output_channel=0):
measure_dict = copy.deepcopy(measurements_dict)
try:
if state == 'on' and amount is not None:
self.publish.single(
self.options_channels['topic'][0],
amount,
hostname=self.options_channels['hostname'][0],
port=self.options_channels['port'][0],
client_id=self.options_channels['clientid'][0],
keepalive=self.options_channels['keepalive'][0])
self.output_states[output_channel] = amount
measure_dict[0]['value'] = amount
elif state == 'off':
self.publish.single(
self.options_channels['topic'][0],
payload=self.options_channels['off_value'][0],
hostname=self.options_channels['hostname'][0],
port=self.options_channels['port'][0],
client_id=self.options_channels['clientid'][0],
keepalive=self.options_channels['keepalive'][0])
self.output_states[output_channel] = False
measure_dict[0]['value'] = self.options_channels['off_value'][
0]
except Exception as e:
self.logger.error("State change error: {}".format(e))
return
add_measurements_influxdb(self.unique_id, measure_dict)
def acquire_measurements_now(self):
try:
self.update_measure()
add_measurements_influxdb(
self.unique_id, self.create_measurements_dict())
return "Success"
except Exception as msg:
return "Failure: {}".format(msg)
def acquire_measurements_now(self):
try:
self.update_measure()
add_measurements_influxdb(
self.unique_id, self.create_measurements_dict())
return "Success"
except Exception as msg:
return "Failure: {}".format(msg)
def loop(self):
if self.timer_loop > time.time():
return
while self.timer_loop < time.time():
self.timer_loop += self.period
measurements = []
for each_id_set in self.select_measurement:
device_device_id = each_id_set.split(",")[0]
device_measure_id = each_id_set.split(",")[1]
device_measurement = get_measurement(device_measure_id)
if not device_measurement:
self.logger.error("Could not find Device Measurement")
return
conversion = db_retrieve_table_daemon(
Conversion, unique_id=device_measurement.conversion_id)
channel, unit, measurement = return_measurement_info(
device_measurement, conversion)
last_measurement = read_last_influxdb(
device_device_id,
unit,
channel,
measure=measurement,
duration_sec=self.max_measure_age)
if not last_measurement:
self.logger.error(
"One more more measurements were not within the set Max Age. Not calculating average."
)
return False
else:
measurements.append(last_measurement[1])
average = float(sum(measurements) / float(len(measurements)))
measurement_dict = {
0: {
'measurement': self.channels_measurement[0].measurement,
'unit': self.channels_measurement[0].unit,
'value': average
}
}
if measurement_dict:
self.logger.debug(
"Adding measurements to InfluxDB with ID {}: {}".format(
self.unique_id, measurement_dict))
add_measurements_influxdb(self.unique_id, measurement_dict)
else:
self.logger.debug(
"No measurements to add to InfluxDB with ID {}".format(
self.unique_id))
def output_switch(self, state, output_type=None, amount=None, duty_cycle=None):
"""Switch the output on or off"""
measure_dict = measurements_dict.copy()
if state == 'on' and duty_cycle != 0:
self.output_device.value = duty_cycle / 100.0
self.logger.debug("Output turned on")
elif state == 'off' or duty_cycle == 0:
self.output_device.value = 0
self.logger.debug("Output turned off")
measure_dict[0]['value'] = duty_cycle
add_measurements_influxdb(self.output_unique_id, measure_dict)
def write_pid_values(self):
""" Write PID values to the measurement database """
if self.PID_Controller.band:
setpoint_band_lower = self.PID_Controller.setpoint - self.PID_Controller.band
setpoint_band_upper = self.PID_Controller.setpoint + self.PID_Controller.band
else:
setpoint_band_lower = None
setpoint_band_upper = None
list_measurements = [
self.PID_Controller.setpoint,
setpoint_band_lower,
setpoint_band_upper,
self.PID_Controller.P_value,
self.PID_Controller.I_value,
self.PID_Controller.D_value
]
measurement_dict = {}
measurements = self.device_measurements.filter(
DeviceMeasurements.device_id == self.unique_id).all()
for each_channel, each_measurement in enumerate(measurements):
if (each_measurement.channel not in measurement_dict and
each_measurement.channel < len(list_measurements)):
# If setpoint, get unit from PID measurement
if each_measurement.measurement_type == 'setpoint':
setpoint_pid = db_retrieve_table_daemon(
PID, unique_id=each_measurement.device_id)
if setpoint_pid and ',' in setpoint_pid.measurement:
pid_measurement = setpoint_pid.measurement.split(',')[1]
setpoint_measurement = db_retrieve_table_daemon(
DeviceMeasurements, unique_id=pid_measurement)
if setpoint_measurement:
conversion = db_retrieve_table_daemon(
Conversion, unique_id=setpoint_measurement.conversion_id)
_, unit, _ = return_measurement_info(
setpoint_measurement, conversion)
measurement_dict[each_channel] = {
'measurement': each_measurement.measurement,
'unit': unit,
'value': list_measurements[each_channel]
}
else:
measurement_dict[each_channel] = {
'measurement': each_measurement.measurement,
'unit': each_measurement.unit,
'value': list_measurements[each_channel]
}
add_measurements_influxdb(self.unique_id, measurement_dict)
def write_pid_values(self):
""" Write PID values to the measurement database """
if self.band:
setpoint_band_lower = self.setpoint - self.band
setpoint_band_upper = self.setpoint + self.band
else:
setpoint_band_lower = None
setpoint_band_upper = None
list_measurements = [
self.setpoint,
setpoint_band_lower,
setpoint_band_upper,
self.P_value,
self.I_value,
self.D_value
]
measurement_dict = {}
measurements = self.device_measurements.filter(
DeviceMeasurements.device_id == self.pid_id).all()
for each_channel, each_measurement in enumerate(measurements):
if (each_measurement.channel not in measurement_dict and
each_measurement.channel < len(list_measurements)):
# If setpoint, get unit from PID measurement
if each_measurement.measurement_type == 'setpoint':
setpoint_pid = db_retrieve_table_daemon(
PID, unique_id=each_measurement.device_id)
if setpoint_pid and ',' in setpoint_pid.measurement:
pid_measurement = setpoint_pid.measurement.split(',')[1]
setpoint_measurement = db_retrieve_table_daemon(
DeviceMeasurements, unique_id=pid_measurement)
if setpoint_measurement:
conversion = db_retrieve_table_daemon(
Conversion, unique_id=setpoint_measurement.conversion_id)
_, unit, _ = return_measurement_info(
setpoint_measurement, conversion)
measurement_dict[each_channel] = {
'measurement': each_measurement.measurement,
'unit': unit,
'value': list_measurements[each_channel]
}
else:
measurement_dict[each_channel] = {
'measurement': each_measurement.measurement,
'unit': each_measurement.unit,
'value': list_measurements[each_channel]
}
add_measurements_influxdb(self.pid_id, measurement_dict)
def calculate_math(self):
measurement_dict = {}
# Average (multiple channels)
if self.math_type == 'average':
measurement_dict = self.math_average(measurement_dict)
# Average (single channel)
elif self.math_type == 'average_single':
measurement_dict = self.math_average_single(measurement_dict)
# Sum (multiple channels)
elif self.math_type == 'sum':
measurement_dict = self.math_sum(measurement_dict)
# Sum (single channel)
elif self.math_type == 'sum_single':
measurement_dict = self.math_sum_single(measurement_dict)
# Difference between two channels
elif self.math_type == 'difference':
measurement_dict = self.math_difference(measurement_dict)
# Equation (math performed on measurement)
elif self.math_type == 'equation':
measurement_dict = self.math_equation(measurement_dict)
# Redundancy (Use next measurement if one isn't currently available)
elif self.math_type == 'redundancy':
measurement_dict = self.math_redundancy(measurement_dict)
# Statistical analysis on all measurements from a period of time
elif self.math_type == 'statistics':
measurement_dict = self.math_statistics(measurement_dict)
# Verification (only use measurement if it's close to another measurement)
elif self.math_type == 'verification':
measurement_dict = self.math_verification(measurement_dict)
# Calculate humidity from wet- and dry-bulb temperatures
elif self.math_type == 'humidity':
measurement_dict = self.math_humidity(measurement_dict)
# Calculate vapor pressure deficit from temperature and humidity
elif self.math_type == 'vapor_pressure_deficit':
measurement_dict = self.math_vapor_pressure_deficit(
measurement_dict)
else:
self.logger.error(
"Unknown math type: {type}".format(type=self.math_type))
# Add measurement(s) to influxdb
if measurement_dict:
self.logger.debug(
"Adding measurements to InfluxDB with ID {}: {}".format(
self.unique_id, measurement_dict))
add_measurements_influxdb(self.unique_id, measurement_dict)
else:
self.logger.debug(
"No measurements to add to InfluxDB with ID {}".format(
self.unique_id))
def loop(self):
if self.timer_loop > time.time():
return
while self.timer_loop < time.time():
self.timer_loop += self.period
device_measurement = get_measurement(
self.select_measurement_measurement_id)
if not device_measurement:
self.logger.error("Could not find Device Measurement")
return
conversion = db_retrieve_table_daemon(
Conversion, unique_id=device_measurement.conversion_id)
channel, unit, measurement = return_measurement_info(
device_measurement, conversion)
sum_measurements = sum_past_seconds(
self.select_measurement_device_id,
unit,
channel,
self.max_measure_age,
measure=measurement)
if not sum_measurements:
self.logger.error(
"Could not find measurement within the set Max Age")
return False
measurement_dict = {
0: {
'measurement': self.channels_measurement[0].measurement,
'unit': self.channels_measurement[0].unit,
'value': sum_measurements
}
}
if measurement_dict:
self.logger.debug(
"Adding measurements to InfluxDB with ID {}: {}".format(
self.unique_id, measurement_dict))
add_measurements_influxdb(self.unique_id, measurement_dict)
else:
self.logger.debug(
"No measurements to add to InfluxDB with ID {}".format(
self.unique_id))
def record_dispersal(self,
amount,
total_on_seconds,
total_dispense_seconds,
timestamp=None):
measure_dict = copy.deepcopy(measurements_dict)
measure_dict[0]['value'] = total_on_seconds
measure_dict[1]['value'] = amount
measure_dict[2]['value'] = total_dispense_seconds
if timestamp:
measure_dict[0]['timestamp_utc'] = timestamp
measure_dict[1]['timestamp_utc'] = timestamp
measure_dict[2]['timestamp_utc'] = timestamp
add_measurements_influxdb(self.unique_id,
measure_dict,
use_same_timestamp=False)
def output_switch(self,
state,
output_type=None,
amount=0,
output_channel=None):
if not self.is_setup():
msg = "Error 101: Device not set up. See https://kizniche.github.io/Mycodo/Error-Codes#error-101 for more info."
self.logger.error(msg)
return msg
measure_dict = copy.deepcopy(measurements_dict)
output_amount = 0
if state == 'on':
if self.options_channels['pwm_invert_signal'][output_channel]:
output_amount = 100.0 - abs(amount)
else:
output_amount = abs(amount)
elif state == 'off':
if self.options_channels['pwm_invert_signal'][output_channel]:
output_amount = 100
else:
output_amount = 0
off_at_tick = round(output_amount * 4095. / 100.)
self.pwm_output.set_pwm(output_channel, 0, off_at_tick)
self.pwm_duty_cycles[output_channel] = amount
self.logger.debug(
"Duty cycle of channel {ch} set to {dc:.2f} % (switched off for {off_at_tick:d} of 4095 ticks)"
.format(ch=output_channel, dc=amount, off_at_tick=off_at_tick))
if self.options_channels['pwm_invert_stored_signal'][output_channel]:
amount = 100.0 - abs(amount)
measure_dict[output_channel]['value'] = amount
add_measurements_influxdb(self.unique_id, measure_dict)
return "success"
def output_switch(self,
state,
output_type=None,
amount=None,
output_channel=None):
if not self.is_setup():
msg = "Error 101: Device not set up. See https://kizniche.github.io/Mycodo/Error-Codes#error-101 for more info."
self.logger.error(msg)
return msg
measure_dict = copy.deepcopy(measurements_dict)
if amount not in [None, 0]:
if (self.options_channels['pin_enable'][0]
and self.options_channels['enable_mode'][0] == "only_run"):
self.stepper.enable(True)
if amount > 0:
self.stepper.run(int(amount), True)
elif amount < 0:
self.stepper.run(int(abs(amount)), False)
if (self.options_channels['pin_enable'][0]
and self.options_channels['enable_mode'][0] == "only_run"):
self.stepper.enable(False)
measure_dict[0]['value'] = amount
elif state == "off":
if (self.options_channels['pin_enable'][0]
and self.options_channels['enable_mode'][0] == "only_run"):
self.stepper.enable(False)
if self.stepper.running:
self.stepper.stop_running()
else:
self.logger.error(
"Invalid parameters: State: {state}, Type: {ot}, Amount: {amt}"
.format(state=state, ot=output_type, amt=amount))
return
add_measurements_influxdb(self.unique_id, measure_dict)
def loop(self):
if self.timer_loop < time.time():
while self.timer_loop < time.time():
self.timer_loop += self.period
measurements = {}
for channel in self.channels_measurement:
# Original value/unit
measurements[channel] = {}
measurements[channel][
'measurement'] = self.channels_measurement[
channel].measurement
measurements[channel]['unit'] = self.channels_measurement[
channel].unit
measurements[channel]['value'] = random.randint(1, 100)
# Convert value/unit is conversion_id present and valid
if self.channels_conversion[channel]:
conversion = db_retrieve_table_daemon(
Conversion,
unique_id=self.channels_measurement[channel].
conversion_id)
if conversion:
meas = parse_measurement(
self.channels_conversion[channel],
self.channels_measurement[channel], measurements,
channel, measurements[channel])
measurements[channel]['measurement'] = meas[channel][
'measurement']
measurements[channel]['unit'] = meas[channel]['unit']
measurements[channel]['value'] = meas[channel]['value']
if measurements:
self.logger.debug(
"Adding measurements to influxdb: {}".format(measurements))
add_measurements_influxdb(self.unique_id, measurements)
else:
self.logger.debug("No measurements to add to influxdb.")
def calculate_math(self):
measurement_dict = {}
if self.math_type == 'average':
device_measurement = self.device_measurements.filter(
DeviceMeasurements.channel == 0).first()
if device_measurement:
conversion = db_retrieve_table_daemon(
Conversion, unique_id=device_measurement.conversion_id)
else:
conversion = None
channel, unit, measurement = return_measurement_info(
device_measurement, conversion)
success, measure = self.get_measurements_from_str(self.inputs)
if success:
average = float(sum(measure) / float(len(measure)))
measurement_dict = {
channel: {
'measurement': measurement,
'unit': unit,
'value': average
}
}
elif measure:
self.logger.error(measure)
else:
self.error_not_within_max_age()
elif self.math_type == 'average_single':
device_id = self.inputs.split(',')[0]
measurement_id = self.inputs.split(',')[1]
device_measurement = db_retrieve_table_daemon(
DeviceMeasurements, unique_id=measurement_id)
if device_measurement:
conversion = db_retrieve_table_daemon(
Conversion, unique_id=device_measurement.conversion_id)
else:
conversion = None
channel, unit, measurement = return_measurement_info(
device_measurement, conversion)
try:
last_measurements = read_past_influxdb(
device_id,
unit,
measurement,
channel,
self.max_measure_age)
if last_measurements:
measure_list = []
for each_set in last_measurements:
if len(each_set) == 2:
measure_list.append(each_set[1])
average = sum(measure_list) / float(len(measure_list))
measurement_dict = {
channel: {
'measurement': measurement,
'unit': unit,
'value': average
}
}
else:
self.error_not_within_max_age()
except Exception as msg:
self.logger.exception("average_single Error: {err}".format(err=msg))
elif self.math_type == 'difference':
device_measurement = self.device_measurements.filter(
DeviceMeasurements.channel == 0).first()
if device_measurement:
conversion = db_retrieve_table_daemon(
Conversion, unique_id=device_measurement.conversion_id)
else:
conversion = None
channel, unit, measurement = return_measurement_info(
device_measurement, conversion)
success, measure = self.get_measurements_from_str(self.inputs)
if success:
if self.difference_reverse_order:
difference = measure[1] - measure[0]
else:
difference = measure[0] - measure[1]
if self.difference_absolute:
difference = abs(difference)
measurement_dict = {
channel: {
'measurement': measurement,
'unit': unit,
'value': difference
}
}
elif measure:
self.logger.error(measure)
else:
self.error_not_within_max_age()
elif self.math_type == 'equation':
device_measurement = self.device_measurements.filter(
DeviceMeasurements.channel == 0).first()
if device_measurement:
conversion = db_retrieve_table_daemon(
Conversion, unique_id=device_measurement.conversion_id)
else:
conversion = None
channel, unit, measurement = return_measurement_info(
device_measurement, conversion)
success, measure = self.get_measurements_from_str(self.inputs)
if success:
replaced_str = self.equation.replace('x', str(measure[0]))
equation_output = eval(replaced_str)
measurement_dict = {
channel: {
'measurement': measurement,
'unit': unit,
'value': float(equation_output)
}
}
elif measure:
self.logger.error(measure)
else:
self.error_not_within_max_age()
elif self.math_type == 'redundancy':
list_order = self.order_of_use.split(';')
measurement_success = False
for each_id_measurement_id in list_order:
device_id = each_id_measurement_id.split(',')[0]
measurement_id = each_id_measurement_id.split(',')[1]
device_measurement = self.device_measurements.filter(
DeviceMeasurements.channel == 0).first()
if device_measurement:
conversion = db_retrieve_table_daemon(
Conversion, unique_id=device_measurement.conversion_id)
else:
conversion = None
channel, unit, measurement = return_measurement_info(
device_measurement, conversion)
try:
success_measure, measure = self.get_measurements_from_id(
device_id, measurement_id)
if success_measure:
measurement_dict = {
channel: {
'measurement': measurement,
'unit': unit,
'value': float(measure[1]),
'timestamp': measure[0],
}
}
measurement_success = True
break
except Exception as msg:
self.logger.exception("redundancy Error: {err}".format(err=msg))
if not measurement_success:
self.error_not_within_max_age()
elif self.math_type == 'statistics':
success, measure = self.get_measurements_from_str(self.inputs)
if success:
# Perform some math
stat_mean = float(sum(measure) / float(len(measure)))
stat_median = median(measure)
stat_minimum = min(measure)
stat_maximum = max(measure)
stdev_ = stdev(measure)
stdev_mean_upper = stat_mean + stdev_
stdev_mean_lower = stat_mean - stdev_
list_measurement = [
stat_mean,
stat_median,
stat_minimum,
stat_maximum,
stdev_,
stdev_mean_upper,
stdev_mean_lower
]
for each_measurement in self.device_measurements.all():
conversion = db_retrieve_table_daemon(
Conversion, unique_id=each_measurement.conversion_id)
channel, unit, measurement = return_measurement_info(
each_measurement, conversion)
measurement_dict[channel] = {
'measurement': measurement,
'unit': unit,
'value': list_measurement[channel]
}
elif measure:
self.logger.error(measure)
else:
self.error_not_within_max_age()
elif self.math_type == 'verification':
device_measurement = self.device_measurements.filter(
DeviceMeasurements.channel == 0).first()
if device_measurement:
conversion = db_retrieve_table_daemon(
Conversion, unique_id=device_measurement.conversion_id)
else:
conversion = None
channel, unit, measurement = return_measurement_info(
device_measurement, conversion)
success, measure = self.get_measurements_from_str(self.inputs)
if (success and
max(measure) - min(measure) <
self.max_difference):
difference = max(measure) - min(measure)
measurement_dict = {
channel: {
'measurement': measurement,
'unit': unit,
'value': difference
}
}
elif measure:
self.logger.error(measure)
else:
self.error_not_within_max_age()
elif self.math_type == 'humidity':
pressure_pa = 101325
critical_error = False
if self.pressure_pa_id and self.pressure_pa_measure_id:
success_pa, pressure = self.get_measurements_from_id(
self.pressure_pa_id, self.pressure_pa_measure_id)
if success_pa:
pressure_pa = int(pressure[1])
# Pressure must be in Pa, convert if not
if db_retrieve_table_daemon(DeviceMeasurements, unique_id=self.pressure_pa_measure_id):
measurement = db_retrieve_table_daemon(DeviceMeasurements, unique_id=self.pressure_pa_measure_id)
else:
self.logger.error("Could not find pressure measurement")
measurement = None
critical_error = True
if measurement and measurement.unit != 'Pa':
for each_conv in db_retrieve_table_daemon(Conversion, entry='all'):
if (each_conv.convert_unit_from == measurement.unit and
each_conv.convert_unit_to == 'Pa'):
pressure_pa = convert_units(
each_conv.unique_id, pressure_pa)
else:
self.logger.error(
"Could not find conversion for unit "
"{unit} to Pa (Pascals)".format(
unit=measurement.unit))
critical_error = True
success_dbt, dry_bulb_t = self.get_measurements_from_id(
self.dry_bulb_t_id, self.dry_bulb_t_measure_id)
success_wbt, wet_bulb_t = self.get_measurements_from_id(
self.wet_bulb_t_id, self.wet_bulb_t_measure_id)
if success_dbt and success_wbt:
dbt_kelvin = float(dry_bulb_t[1])
wbt_kelvin = float(wet_bulb_t[1])
if db_retrieve_table_daemon(DeviceMeasurements, unique_id=self.dry_bulb_t_measure_id):
measurement = db_retrieve_table_daemon(DeviceMeasurements, unique_id=self.dry_bulb_t_measure_id)
else:
self.logger.error("Could not find pressure measurement")
measurement = None
critical_error = True
if measurement and measurement.unit != 'K':
conversion_found = False
for each_conv in db_retrieve_table_daemon(Conversion, entry='all'):
if (each_conv.convert_unit_from == measurement.unit and
each_conv.convert_unit_to == 'K'):
dbt_kelvin = convert_units(
each_conv.unique_id, dbt_kelvin)
conversion_found = True
if not conversion_found:
self.logger.error(
"Could not find conversion for unit "
"{unit} to K (Kelvin)".format(
unit=measurement.unit))
critical_error = True
if db_retrieve_table_daemon(DeviceMeasurements, unique_id=self.dry_bulb_t_measure_id):
measurement = db_retrieve_table_daemon(DeviceMeasurements, unique_id=self.dry_bulb_t_measure_id)
else:
self.logger.error("Could not find pressure measurement")
measurement = None
critical_error = True
if measurement and measurement.unit != 'K':
conversion_found = False
for each_conv in db_retrieve_table_daemon(Conversion, entry='all'):
if (each_conv.convert_unit_from == measurement.unit and
each_conv.convert_unit_to == 'K'):
wbt_kelvin = convert_units(
each_conv.unique_id, wbt_kelvin)
conversion_found = True
if not conversion_found:
self.logger.error(
"Could not find conversion for unit "
"{unit} to K (Kelvin)".format(
unit=measurement.unit))
critical_error = True
# Convert temperatures to Kelvin (already done above)
# dbt_kelvin = celsius_to_kelvin(dry_bulb_t_c)
# wbt_kelvin = celsius_to_kelvin(wet_bulb_t_c)
psypi = None
try:
if not critical_error:
psypi = SI.state(
"DBT", dbt_kelvin, "WBT", wbt_kelvin, pressure_pa)
else:
self.logger.error(
"One or more critical errors prevented the "
"humidity from being calculated")
except TypeError as err:
self.logger.error("TypeError: {msg}".format(msg=err))
if psypi:
percent_relative_humidity = psypi[2] * 100
# Ensure percent humidity stays within 0 - 100 % range
if percent_relative_humidity > 100:
percent_relative_humidity = 100
elif percent_relative_humidity < 0:
percent_relative_humidity = 0
# Dry bulb temperature: psypi[0])
# Wet bulb temperature: psypi[5])
specific_enthalpy = float(psypi[1])
humidity = float(percent_relative_humidity)
specific_volume = float(psypi[3])
humidity_ratio = float(psypi[4])
list_measurement = [
specific_enthalpy,
humidity,
specific_volume,
humidity_ratio
]
for each_measurement in self.device_measurements.all():
conversion = db_retrieve_table_daemon(
Conversion, unique_id=each_measurement.conversion_id)
channel, unit, measurement = return_measurement_info(
each_measurement, conversion)
measurement_dict[channel] = {
'measurement': measurement,
'unit': unit,
'value': list_measurement[channel]
}
else:
self.error_not_within_max_age()
elif self.math_type == 'vapor_pressure_deficit':
vpd_pa = None
critical_error = False
success_dbt, temperature = self.get_measurements_from_id(
self.unique_id_1, self.unique_measurement_id_1)
success_wbt, humidity = self.get_measurements_from_id(
self.unique_id_2, self.unique_measurement_id_2)
if success_dbt and success_wbt:
vpd_temperature_celsius = float(temperature[1])
vpd_humidity_percent = float(humidity[1])
if db_retrieve_table_daemon(
DeviceMeasurements,
unique_id=self.unique_measurement_id_1):
measurement = db_retrieve_table_daemon(
DeviceMeasurements,
unique_id=self.unique_measurement_id_1)
else:
self.logger.error("Could not find temperature measurement")
measurement = None
critical_error = True
if measurement and measurement.unit != 'C':
conversion_found = False
for each_conv in db_retrieve_table_daemon(Conversion, entry='all'):
if (each_conv.convert_unit_from == measurement.unit and
each_conv.convert_unit_to == 'C'):
vpd_temperature_celsius = convert_units(
each_conv.unique_id, vpd_temperature_celsius)
conversion_found = True
if not conversion_found:
self.logger.error(
"Could not find conversion for unit "
"{unit} to C (Celsius)".format(
unit=measurement.unit))
critical_error = True
if db_retrieve_table_daemon(
DeviceMeasurements,
unique_id=self.unique_measurement_id_2):
measurement = db_retrieve_table_daemon(
DeviceMeasurements,
unique_id=self.unique_measurement_id_2)
else:
self.logger.error("Could not find humidity measurement")
measurement = None
critical_error = True
if measurement and measurement.unit != 'percent':
conversion_found = False
for each_conv in db_retrieve_table_daemon(Conversion, entry='all'):
if (each_conv.convert_unit_from == measurement.unit and
each_conv.convert_unit_to == 'percent'):
vpd_humidity_percent = convert_units(
each_conv.unique_id, vpd_humidity_percent)
conversion_found = True
if not conversion_found:
self.logger.error(
"Could not find conversion for unit "
"{unit} to percent (%)".format(
unit=measurement.unit))
critical_error = True
try:
if not critical_error:
vpd_pa = calculate_vapor_pressure_deficit(
vpd_temperature_celsius, vpd_humidity_percent)
else:
self.logger.error(
"One or more critical errors prevented the "
"vapor pressure deficit from being calculated")
except TypeError as err:
self.logger.error("TypeError: {msg}".format(msg=err))
if vpd_pa:
measure = self.device_measurements.first()
conversion = db_retrieve_table_daemon(
Conversion, unique_id=measure.conversion_id)
channel, unit, measurement = return_measurement_info(
measure, conversion)
measurement_dict[channel] = {
'measurement': measurement,
'unit': unit,
'value': vpd_pa
}
else:
self.error_not_within_max_age()
else:
self.logger.error("Unknown math type: {type}".format(type=self.math_type))
# Finally, add measurements to influxdb
add_measurements_influxdb(self.unique_id, measurement_dict)
def record_dispersal(self, channel, amount, total_on_seconds):
measure_dict = copy.deepcopy(measurements_dict)
measure = channels_dict[channel]['measurements']
measure_dict[measure[0]]['value'] = total_on_seconds
measure_dict[measure[1]]['value'] = amount
add_measurements_influxdb(self.unique_id, measure_dict)
def get_new_data(self, past_seconds):
# Basic implementation. Future development may use more complex library to access API
endpoint = "https://{app}.data.thethingsnetwork.org/api/v2/query/{dev}?last={time}".format(
app=self.application_id,
dev=self.device_id,
time="{}s".format(int(past_seconds)))
headers = {"Authorization": "key {k}".format(k=self.app_api_key)}
timestamp_format = '%Y-%m-%dT%H:%M:%S.%f'
response = requests.get(endpoint, headers=headers)
try:
response.json()
except ValueError: # No data returned
self.logger.debug(
"Response Error. Response: {}. Likely there is no data to be retrieved on TTN"
.format(response.content))
return
for each_resp in response.json():
if not self.running:
break
try:
datetime_utc = datetime.datetime.strptime(
each_resp['time'][:-7], timestamp_format)
except Exception:
# Sometimes the original timestamp is in milliseconds
# instead of nanoseconds. Therefore, remove 3 less digits
# past the decimal and try again to parse.
try:
datetime_utc = datetime.datetime.strptime(
each_resp['time'][:-4], timestamp_format)
except Exception as e:
self.logger.error(
"Could not parse timestamp '{}': {}".format(
each_resp['time'], e))
continue # Malformed timestamp encountered. Discard measurement.
if (not self.latest_datetime
or self.latest_datetime < datetime_utc):
self.latest_datetime = datetime_utc
measurements = {}
for channel in self.channels_measurement:
if (self.is_enabled(channel)
and self.options_channels['variable_name'][channel]
in each_resp
and each_resp[self.options_channels['variable_name']
[channel]] is not None):
# Original value/unit
measurements[channel] = {}
measurements[channel][
'measurement'] = self.channels_measurement[
channel].measurement
measurements[channel]['unit'] = self.channels_measurement[
channel].unit
measurements[channel]['value'] = each_resp[
self.options_channels['variable_name'][channel]]
measurements[channel]['timestamp_utc'] = datetime_utc
# Convert value/unit is conversion_id present and valid
if self.channels_conversion[channel]:
conversion = db_retrieve_table_daemon(
Conversion,
unique_id=self.channels_measurement[channel].
conversion_id)
if conversion:
meas = parse_measurement(
self.channels_conversion[channel],
self.channels_measurement[channel],
measurements,
channel,
measurements[channel],
timestamp=datetime_utc)
measurements[channel]['measurement'] = meas[
channel]['measurement']
measurements[channel]['unit'] = meas[channel][
'unit']
measurements[channel]['value'] = meas[channel][
'value']
if measurements:
self.logger.debug(
"Adding measurements to influxdb: {}".format(measurements))
add_measurements_influxdb(
self.unique_id,
measurements,
use_same_timestamp=INPUT_INFORMATION[
'measurements_use_same_timestamp'])
else:
self.logger.debug("No measurements to add to influxdb.")
# set datetime to latest timestamp
if self.running:
with session_scope(MYCODO_DB_PATH) as new_session:
mod_input = new_session.query(Input).filter(
Input.unique_id == self.unique_id).first()
if not mod_input.datetime or mod_input.datetime < self.latest_datetime:
mod_input.datetime = self.latest_datetime
new_session.commit()
def calculate_math(self):
measurement_dict = {}
#
# Average (multiple channels)
#
if self.math_type == 'average':
math_dev_measurement = self.device_measurements.filter(
DeviceMeasurements.channel == 0).first()
channel, unit, measurement = return_measurement_info(
math_dev_measurement, None)
success, measure = self.get_measurements_from_str(self.inputs)
if success:
average = float(sum(measure) / float(len(measure)))
measurement_dict = {
channel: {
'measurement': measurement,
'unit': unit,
'value': average
}
}
elif measure:
self.logger.error(measure)
else:
self.error_not_within_max_age()
#
# Average (single channel)
#
elif self.math_type == 'average_single':
math_dev_measurement = self.device_measurements.filter(
DeviceMeasurements.channel == 0).first()
math_conversion = db_retrieve_table_daemon(
Conversion, unique_id=math_dev_measurement.conversion_id)
(math_channel,
math_unit,
math_measurement) = return_measurement_info(
math_dev_measurement, math_conversion)
device_id = self.inputs.split(',')[0]
measurement_id = self.inputs.split(',')[1]
if measurement_id == 'output':
output = db_retrieve_table_daemon(Output, unique_id=device_id)
measure_channel = output.channel
measure_unit = output.unit
measure_measurement = output.measurement
else:
device_measurement = db_retrieve_table_daemon(
DeviceMeasurements, unique_id=measurement_id)
if device_measurement:
measure_conversion = db_retrieve_table_daemon(
Conversion,
unique_id=device_measurement.conversion_id)
else:
measure_conversion = None
(measure_channel,
measure_unit,
measure_measurement) = return_measurement_info(
device_measurement, measure_conversion)
try:
return_value = average_past_seconds(
device_id,
measure_unit,
measure_channel,
self.max_measure_age,
measure=measure_measurement)
if math_dev_measurement.conversion_id:
return_value = convert_units(
math_dev_measurement.conversion_id,
return_value)
if return_value:
measurement_dict = {
math_dev_measurement.channel: {
'measurement': measure_measurement,
'unit': math_unit,
'value': return_value
}
}
else:
self.error_not_within_max_age()
except Exception as msg:
self.logger.exception(
"average_single Error: {err}".format(err=msg))
#
# Sum (multiple channels)
#
elif self.math_type == 'sum':
math_dev_measurement = self.device_measurements.filter(
DeviceMeasurements.channel == 0).first()
if math_dev_measurement:
conversion = db_retrieve_table_daemon(
Conversion, unique_id=math_dev_measurement.conversion_id)
else:
conversion = None
channel, unit, measurement = return_measurement_info(
math_dev_measurement, conversion)
success, measure = self.get_measurements_from_str(self.inputs)
if success:
sum_value = float(sum(measure))
measurement_dict = {
channel: {
'measurement': measurement,
'unit': unit,
'value': sum_value
}
}
elif measure:
self.logger.error(measure)
else:
self.error_not_within_max_age()
#
# Sum (single channel)
#
elif self.math_type == 'sum_single':
math_dev_measurement = self.device_measurements.filter(
DeviceMeasurements.channel == 0).first()
math_conversion = db_retrieve_table_daemon(
Conversion, unique_id=math_dev_measurement.conversion_id)
(math_channel,
math_unit,
math_measurement) = return_measurement_info(
math_dev_measurement, math_conversion)
device_id = self.inputs.split(',')[0]
measurement_id = self.inputs.split(',')[1]
if measurement_id == 'output':
output = db_retrieve_table_daemon(Output, unique_id=device_id)
measure_channel = output.channel
measure_unit = output.unit
measure_measurement = output.measurement
else:
device_measurement = db_retrieve_table_daemon(
DeviceMeasurements, unique_id=measurement_id)
if device_measurement:
measure_conversion = db_retrieve_table_daemon(
Conversion,
unique_id=device_measurement.conversion_id)
else:
measure_conversion = None
(measure_channel,
measure_unit,
measure_measurement) = return_measurement_info(
device_measurement, measure_conversion)
try:
return_value = sum_past_seconds(
device_id,
measure_unit,
measure_channel,
self.max_measure_age,
measure=measure_measurement)
if math_dev_measurement.conversion_id:
return_value = convert_units(
math_dev_measurement.conversion_id,
return_value)
if return_value:
measurement_dict = {
math_dev_measurement.channel: {
'measurement': measure_measurement,
'unit': math_unit,
'value': return_value
}
}
else:
self.error_not_within_max_age()
except Exception as msg:
self.logger.exception(
"sum_single Error: {err}".format(err=msg))
#
# Difference between two channels
#
elif self.math_type == 'difference':
math_dev_measurement = self.device_measurements.filter(
DeviceMeasurements.channel == 0).first()
if math_dev_measurement:
conversion = db_retrieve_table_daemon(
Conversion, unique_id=math_dev_measurement.conversion_id)
else:
conversion = None
channel, unit, measurement = return_measurement_info(
math_dev_measurement, conversion)
success, measure = self.get_measurements_from_str(self.inputs)
if success:
if self.difference_reverse_order:
difference = measure[1] - measure[0]
else:
difference = measure[0] - measure[1]
if self.difference_absolute:
difference = abs(difference)
measurement_dict = {
channel: {
'measurement': measurement,
'unit': unit,
'value': difference
}
}
elif measure:
self.logger.error(measure)
else:
self.error_not_within_max_age()
#
# Equation (math performed on measurement)
#
elif self.math_type == 'equation':
math_dev_measurement = self.device_measurements.filter(
DeviceMeasurements.channel == 0).first()
if math_dev_measurement:
conversion = db_retrieve_table_daemon(
Conversion, unique_id=math_dev_measurement.conversion_id)
else:
conversion = None
channel, unit, measurement = return_measurement_info(
math_dev_measurement, conversion)
success, measure = self.get_measurements_from_str(
self.equation_input)
if success:
if 'x' in self.equation:
replaced_str = self.equation.replace('x', str(measure[0]))
else:
replaced_str = self.equation
equation_output = eval(replaced_str)
measurement_dict = {
channel: {
'measurement': measurement,
'unit': unit,
'value': float(equation_output)
}
}
elif measure:
self.logger.error(measure)
else:
self.error_not_within_max_age()
#
# Redundancy (Use next measurement if one isn't currently available)
#
elif self.math_type == 'redundancy':
list_order = self.order_of_use.split(';')
measurement_success = False
for each_id_measurement_id in list_order:
device_id = each_id_measurement_id.split(',')[0]
measurement_id = each_id_measurement_id.split(',')[1]
math_dev_measurement = self.device_measurements.filter(
DeviceMeasurements.channel == 0).first()
if math_dev_measurement:
conversion = db_retrieve_table_daemon(
Conversion,
unique_id=math_dev_measurement.conversion_id)
else:
conversion = None
channel, unit, measurement = return_measurement_info(
math_dev_measurement, conversion)
try:
success_measure, measure = self.get_measurements_from_id(
device_id, measurement_id)
if success_measure:
measurement_dict = {
channel: {
'measurement': measurement,
'unit': unit,
'value': float(measure[1]),
'timestamp_utc': measure[0],
}
}
measurement_success = True
break
except Exception as msg:
self.logger.exception(
"redundancy Error: {err}".format(err=msg))
if not measurement_success:
self.error_not_within_max_age()
#
# Statistical analysis on all measurements from a period of time
#
elif self.math_type == 'statistics':
success, measure = self.get_measurements_from_str(self.inputs)
if success:
# Perform some math
stat_mean = float(sum(measure) / float(len(measure)))
stat_median = median(measure)
stat_minimum = min(measure)
stat_maximum = max(measure)
stdev_ = stdev(measure)
stdev_mean_upper = stat_mean + stdev_
stdev_mean_lower = stat_mean - stdev_
list_measurement = [
stat_mean,
stat_median,
stat_minimum,
stat_maximum,
stdev_,
stdev_mean_upper,
stdev_mean_lower
]
for each_measurement in self.device_measurements.all():
conversion = db_retrieve_table_daemon(
Conversion, unique_id=each_measurement.conversion_id)
channel, unit, measurement = return_measurement_info(
each_measurement, conversion)
measurement_dict[channel] = {
'measurement': measurement,
'unit': unit,
'value': list_measurement[channel]
}
elif measure:
self.logger.error(measure)
else:
self.error_not_within_max_age()
#
# Verification (only use measurement if it's close to another measurement)
#
elif self.math_type == 'verification':
math_dev_measurement = self.device_measurements.filter(
DeviceMeasurements.channel == 0).first()
if math_dev_measurement:
conversion = db_retrieve_table_daemon(
Conversion, unique_id=math_dev_measurement.conversion_id)
else:
conversion = None
channel, unit, measurement = return_measurement_info(
math_dev_measurement, conversion)
success, measure = self.get_measurements_from_str(self.inputs)
if (success and
max(measure) - min(measure) <
self.max_difference):
difference = max(measure) - min(measure)
measurement_dict = {
channel: {
'measurement': measurement,
'unit': unit,
'value': difference
}
}
elif measure:
self.logger.error(measure)
else:
self.error_not_within_max_age()
#
# Calculate humidity from wet- and dry-bulb temperatures
#
elif self.math_type == 'humidity':
pressure_pa = 101325
critical_error = False
if self.pressure_pa_id and self.pressure_pa_measure_id:
success_pa, pressure = self.get_measurements_from_id(
self.pressure_pa_id, self.pressure_pa_measure_id)
if success_pa:
pressure_pa = int(pressure[1])
# Pressure must be in Pa, convert if not
measurement_press = db_retrieve_table_daemon(
DeviceMeasurements,
unique_id=self.pressure_pa_measure_id)
if not measurement_press:
self.logger.error(
"Could not find pressure measurement")
measurement_press = None
critical_error = True
if measurement_press and measurement_press.unit != 'Pa':
pressure_pa, status = self.is_measurement_unit(
measurement_press.unit, 'Pa', pressure_pa)
if status == 'error':
critical_error = True
success_dbt, dry_bulb_t = self.get_measurements_from_id(
self.dry_bulb_t_id, self.dry_bulb_t_measure_id)
success_wbt, wet_bulb_t = self.get_measurements_from_id(
self.wet_bulb_t_id, self.wet_bulb_t_measure_id)
if success_dbt and success_wbt:
dbt_kelvin = float(dry_bulb_t[1])
wbt_kelvin = float(wet_bulb_t[1])
measurement_db_temp = db_retrieve_table_daemon(
DeviceMeasurements,
unique_id=self.dry_bulb_t_measure_id)
if not measurement_db_temp:
self.logger.error(
"Could not find dry bulb temperature measurement")
measurement_db_temp = None
critical_error = True
if measurement_db_temp and measurement_db_temp.unit != 'K':
dbt_kelvin, status = self.is_measurement_unit(
measurement_db_temp.unit, 'K', dbt_kelvin)
if status == 'error':
critical_error = True
measurement_wb_temp = db_retrieve_table_daemon(
DeviceMeasurements,
unique_id=self.wet_bulb_t_measure_id)
if not measurement_wb_temp:
self.logger.error(
"Could not find wet bulb temperature measurement")
measurement_wb_temp = None
critical_error = True
if measurement_wb_temp and measurement_wb_temp.unit != 'K':
wbt_kelvin, status = self.is_measurement_unit(
measurement_wb_temp.unit, 'K', wbt_kelvin)
if status == 'error':
critical_error = True
# Convert temperatures to Kelvin (already done above)
# dbt_kelvin = celsius_to_kelvin(dry_bulb_t_c)
# wbt_kelvin = celsius_to_kelvin(wet_bulb_t_c)
psypi = None
try:
if not critical_error:
psypi = SI.state(
"DBT", dbt_kelvin, "WBT", wbt_kelvin, pressure_pa)
else:
self.logger.error(
"One or more critical errors prevented the "
"humidity from being calculated")
except TypeError as err:
self.logger.error("TypeError: {msg}".format(msg=err))
if psypi:
percent_relative_humidity = psypi[2] * 100
# Ensure percent humidity stays within 0 - 100 % range
if percent_relative_humidity > 100:
percent_relative_humidity = 100
elif percent_relative_humidity < 0:
percent_relative_humidity = 0
# Dry bulb temperature: psypi[0])
# Wet bulb temperature: psypi[5])
specific_enthalpy = float(psypi[1])
humidity = float(percent_relative_humidity)
specific_volume = float(psypi[3])
humidity_ratio = float(psypi[4])
list_measurement = [
specific_enthalpy,
humidity,
specific_volume,
humidity_ratio
]
for each_measurement in self.device_measurements.all():
conversion = db_retrieve_table_daemon(
Conversion,
unique_id=each_measurement.conversion_id)
channel, unit, measurement = return_measurement_info(
each_measurement, conversion)
measurement_dict[channel] = {
'measurement': measurement,
'unit': unit,
'value': list_measurement[channel]
}
else:
self.error_not_within_max_age()
#
# Calculate vapor pressure deficit from temperature and humidity
#
elif self.math_type == 'vapor_pressure_deficit':
vpd_pa = None
critical_error = False
success_temp, temperature = self.get_measurements_from_id(
self.unique_id_1, self.unique_measurement_id_1)
success_hum, humidity = self.get_measurements_from_id(
self.unique_id_2, self.unique_measurement_id_2)
if success_temp and success_hum:
vpd_temperature_celsius = float(temperature[1])
vpd_humidity_percent = float(humidity[1])
measurement_temp = db_retrieve_table_daemon(
DeviceMeasurements,
unique_id=self.unique_measurement_id_1)
if not measurement_temp:
self.logger.error("Could not find temperature measurement")
measurement_temp = None
critical_error = True
if measurement_temp and measurement_temp.unit != 'C':
vpd_temperature_celsius, status = self.is_measurement_unit(
measurement_temp.unit, 'C', vpd_temperature_celsius)
if status == 'error':
critical_error = True
measurement_hum = db_retrieve_table_daemon(
DeviceMeasurements,
unique_id=self.unique_measurement_id_2)
if not measurement_hum:
self.logger.error("Could not find humidity measurement")
measurement_hum = None
critical_error = True
if measurement_hum and measurement_hum.unit != 'percent':
vpd_humidity_percent, status = self.is_measurement_unit(
measurement_hum.unit, 'percent', vpd_humidity_percent)
if status == 'error':
critical_error = True
try:
if not critical_error:
vpd_pa = calculate_vapor_pressure_deficit(
vpd_temperature_celsius, vpd_humidity_percent)
else:
self.logger.error(
"One or more critical errors prevented the "
"vapor pressure deficit from being calculated")
except TypeError as err:
self.logger.error("TypeError: {msg}".format(msg=err))
if vpd_pa:
math_dev_measurement = self.device_measurements.first()
conversion = db_retrieve_table_daemon(
Conversion, unique_id=math_dev_measurement.conversion_id)
channel, unit, measurement = return_measurement_info(
math_dev_measurement, conversion)
measurement_dict[channel] = {
'measurement': measurement,
'unit': unit,
'value': vpd_pa
}
else:
self.error_not_within_max_age()
else:
self.logger.error("Unknown math type: {type}".format(type=self.math_type))
# Finally, add measurements to influxdb
if measurement_dict:
self.logger.debug(
"Adding measurements to InfluxDB with ID {}: {}".format(
self.unique_id, measurement_dict))
add_measurements_influxdb(self.unique_id, measurement_dict)
else:
self.logger.debug(
"No measurements to add to InfluxDB with ID {}".format(
self.unique_id))
def run(self):
try:
self.running = True
self.logger.info("Activated in {:.1f} ms".format(
(timeit.default_timer() - self.thread_startup_timer) * 1000))
self.ready.set()
# Set up edge detection
if self.device == 'EDGE':
GPIO.setmode(GPIO.BCM)
GPIO.setup(int(self.gpio_location), GPIO.IN)
GPIO.add_event_detect(int(self.gpio_location),
self.switch_edge_gpio,
callback=self.edge_detected,
bouncetime=self.switch_bouncetime)
while self.running:
# Pause loop to modify conditional statements.
# Prevents execution of conditional while variables are
# being modified.
if self.pause_loop:
self.verify_pause_loop = True
while self.pause_loop:
time.sleep(0.1)
if self.force_measurements_trigger:
self.acquire_measurements_now()
self.force_measurements_trigger = False
if self.device not in ['EDGE']:
now = time.time()
# Signal that a measurement needs to be obtained
if now > self.next_measurement and not self.get_new_measurement:
self.get_new_measurement = True
self.trigger_cond = True
while self.next_measurement < now:
self.next_measurement += self.period
# if signaled and a pre output is set up correctly, turn the
# output on or on for the set duration
if (self.get_new_measurement and
self.pre_output_setup and
not self.pre_output_activated):
# Set up lock
self.input_lock = locket.lock_file(self.lock_file, timeout=30)
try:
self.input_lock.acquire()
self.pre_output_locked = True
except locket.LockError:
self.logger.error("Could not acquire input lock. Breaking for future locking.")
try:
os.remove(self.lock_file)
except OSError:
self.logger.error("Can't delete lock file: Lock file doesn't exist.")
self.pre_output_timer = time.time() + self.pre_output_duration
self.pre_output_activated = True
# Only run the pre-output before measurement
# Turn on for a duration, measure after it turns off
if not self.pre_output_during_measure:
output_on = threading.Thread(
target=self.control.output_on,
args=(self.pre_output_id,
self.pre_output_duration,))
output_on.start()
# Run the pre-output during the measurement
# Just turn on, then off after the measurement
else:
output_on = threading.Thread(
target=self.control.output_on,
args=(self.pre_output_id,))
output_on.start()
# If using a pre output, wait for it to complete before
# querying the input for a measurement
if self.get_new_measurement:
if (self.pre_output_setup and
self.pre_output_activated and
now > self.pre_output_timer):
if self.pre_output_during_measure:
# Measure then turn off pre-output
self.update_measure()
output_off = threading.Thread(
target=self.control.output_off,
args=(self.pre_output_id,))
output_off.start()
else:
# Pre-output has turned off, now measure
self.update_measure()
self.pre_output_activated = False
self.get_new_measurement = False
# release pre-output lock
try:
if self.pre_output_locked:
self.input_lock.release()
self.pre_output_locked = False
except AttributeError:
self.logger.error("Can't release lock: "
"Lock file not present.")
elif not self.pre_output_setup:
# Pre-output not enabled, just measure
self.update_measure()
self.get_new_measurement = False
# Add measurement(s) to influxdb
if self.measurement_success:
add_measurements_influxdb(
self.unique_id, self.create_measurements_dict())
self.measurement_success = False
self.trigger_cond = False
time.sleep(self.sample_rate)
self.running = False
if self.device == 'EDGE':
GPIO.setmode(GPIO.BCM)
GPIO.cleanup(int(self.gpio_location))
self.logger.info("Deactivated in {:.1f} ms".format(
(timeit.default_timer() - self.thread_shutdown_timer) * 1000))
except requests.ConnectionError:
self.logger.error("Could not connect to influxdb. Check that it "
"is running and accepting connections")
except Exception as except_msg:
self.logger.exception("Error: {err}".format(
err=except_msg))
