The code saves the data from some sensors together with the date and time that the sensor is taken, what it does is tell me what was the minimum and maximum in the course of 24 hours, only that there comes a point where the memory error appears , how can I solve it? Thank you
import time, machine, math, binascii, os, json, micropython, gc
from machine import I2C, UART, Pin
from mpl3115a2 import MPL3115A2
from SI7021 import SI7021
from picozero import Button
from micropyGPS import MicropyGPS
#I2C Start
i2c = I2C(1)
si7021 = SI7021(i2c)
i2cmpl = machine.I2C(1, scl = machine.Pin(7), sda = machine.Pin(6))
mpl = MPL3115A2(i2cmpl, mode=MPL3115A2.ALTITUDE)
mpl2 = MPL3115A2(i2cmpl, mode=MPL3115A2.PRESSURE)
#Inicio GPS
gps = machine.UART(1, 9600)
my_gps = MicropyGPS(-7)
# Nombre del archivo de texto donde se guardarán los valores del sensor
filename = "datos.json"
#Borrado de contenido
def eraser():
with open(filename, "w") as f:
pass
# Función para obtener la hora actual
def get_current_time():
current_time = utime.localtime()
return "{:04d}-{:02d}-{:02d} {:02d}:{:02d}:{:02d}".format(current_time[0], current_time[1], current_time[2], current_time[3], current_time[4], current_time[5])
def leer_maxmin():
gc.collect()
with open(filename, "r") as file:
json_content = file.read()
# Convertir el contenido del archivo en una lista de objetos Python
data_list = json_content.strip().split('\n')
data_objects = [json.loads(line) for line in data_list]
#Historicos Temperatura
max_temperature = max([obj['Temperatura'] for obj in data_objects])
min_temperature = min([obj['Temperatura'] for obj in data_objects])
for obj in data_objects:
if obj['Temperatura'] == max_temperature:
max_timeTe = obj['|']
pass
if obj['Temperatura'] == min_temperature:
min_timeTe = obj['|']
pass
print('(Temperatura)', '||', max_timeTe, 'Maximo:', max_temperature, '||',min_timeTe, 'Minimo:', min_temperature)
#Historicos Humedad
max_humidity = max([obj['Humedad'] for obj in data_objects])
min_humidity = min([obj['Humedad'] for obj in data_objects])
for obj in data_objects:
if obj['Humedad'] == max_humidity:
max_timeHu = obj['|']
pass
if obj['Humedad'] == min_humidity:
min_timeHu = obj['|']
pass
print('(Humedad)','||', max_timeHu, 'Maximo:', max_humidity, '||', min_timeHu, 'Minimo:', min_humidity)
#Historicos Altitud
max_alture = max([obj['Altura'] for obj in data_objects])
min_alture = min([obj['Altura'] for obj in data_objects])
for obj in data_objects:
if obj['Altura'] == max_alture:
max_timeAl = obj['|']
pass
if obj['Altura'] == min_alture:
min_timeAl = obj['|']
pass
print('(Altura)', '||', max_timeAl, 'Maximo:', max_alture , '||', min_timeAl, 'Minimo:', min_alture)
#Historicos Presion
max_presion = max([obj['Presion'] for obj in data_objects])
min_presion = min([obj['Presion'] for obj in data_objects])
for obj in data_objects:
if obj['Presion'] == max_presion:
max_timePr = obj['|']
pass
if obj['Presion'] == min_presion:
min_timePr = obj['|']
pass
print('(Presion)', '||', max_timePr, 'Maximo:', max_presion, '||', min_timePr, 'Minimo:', min_presion)
#Historicos Lux
max_lux = max([obj['Lux'] for obj in data_objects])
min_lux = min([obj['Lux'] for obj in data_objects])
for obj in data_objects:
if obj['Lux'] == max_lux:
max_timeLx = obj['|']
pass
if obj['Lux'] == min_lux:
min_timeLx = obj['|']
pass
print('(Lux)', '||', max_timeLx, 'Maximo:', max_lux, '||', min_timeLx, 'Minimo:', min_lux)
max_Rain = max([obj['Lluvia'] for obj in data_objects])
min_Rain = min([obj['Lluvia'] for obj in data_objects])
for obj in data_objects:
if obj['Lluvia'] == max_Rain:
max_timeRG = obj['|']
pass
if obj['Lluvia'] == min_Rain:
min_timeRG = obj['|']
pass
print('(Lluvia)', '||', max_timeRG, 'Maximo:', max_Rain, '||', min_timeRG, 'Minimo:', min_Rain)
#eraser()
while True:
gc.collect()
#Offset UTC-7
my_gps.local_offset
#Formato Fecha y hora
horas, minutos, segundos = map(int, my_gps.timestamp)
segundos = round(segundos)
dia, mes, anio = map(int, my_gps.date)
my_gps.satellite_data_updated()
#Lectura de datos GPS
sentence = gps.readline()
if sentence:
for x in sentence:
my_gps.update(chr(x))
timeUTC = '{:02d}:{:02d}:{:02d}'.format(horas, minutos, segundos)
dateNew = '{:02d}-{:02d}-{:02d}'.format(dia, mes, anio)
# Obtener la hora actual
timestamp = dateNew + " " + timeUTC
#Luz ADC
sensor_luz = machine.ADC(26)
eficacia_luz = 90
reading = sensor_luz.read_u16()
corriente = (reading / 10000)
#Rain Drop sensor Start
raindrop = machine.ADC(28)
rain_status = ''
rain_drop = raindrop.read_u16()
if rain_drop >= 51000:
rainIf = 'False'
count = 0.0
elif rain_drop <= 50000:
rainIf = 'True'
#Valor Sensores
sensor_lum = (round(corriente * eficacia_luz, 2))
sensor_temp = (round(si7021.temperature(), 2))
sensor_hum = (round(si7021.humidity(), 2))
sensor_alt = (round(mpl.altitude()/1000, 2))
sensor_pres = mpl2.pressure()
# Crear un diccionario con los datos del sensor y la hora actual
data = {"|": timestamp, "Temperatura": sensor_temp, "Humedad": sensor_hum, "Altura": sensor_alt, "Presion": sensor_pres, "Lux": sensor_lum, "Lluvia": rainIf}
# Abrir el archivo en modo escritura y agregar los datos al final del archivo
with open(filename, "a") as f:
# Serializar el diccionario a formato JSON y escribirlo en el archivo
f.write(json.dumps(data))
f.write("\n")
print(str(gc.mem_free()))
print(str(gc.mem_alloc()))
micropython.alloc_emergency_exception_buf(100)
gc.collect()
leer_maxmin()
print("--------------------------------------------------------------------------------------------------")
time.sleep(1)
It is saved as follows in a json file:
{"|": "17-04-23 12:34:47", "Altura": 25.23, "Lux": 26.21, "Humedad": 30.62, "Presion": 100929.7, "Lluvia": "False", "Temperatura": 24.06}
iterating and writing on the line below the following sample
{"|": "17-04-23 12:34:47", "Altura": 25.23, "Lux": 26.21, "Humedad": 30.62, "Presion": 100929.7, "Lluvia": "False", "Temperatura": 24.06} {"|": "17-04-23 12:34:47", "Altura": 25.24, "Lux": 27.65, "Humedad": 30.62, "Presion": 100940.0, "Lluvia": "False", "Temperatura": 24.08} {"|": "17-04-23 12:34:47", "Altura": 25.24, "Lux": 25.34, "Humedad": 30.64, "Presion": 100944.3, "Lluvia": "False", "Temperatura": 24.05}
This is the error it throws after 100 samples:
stack: 484 out of 7936
GC: total: 192064, used: 56528, free: 135536
No. of 1-blocks: 534, 2-blocks: 164, max blk sz: 242, max free sz: 1174
Traceback (most recent call last):
File "<stdin>", line 189, in <module>
File "<stdin>", line 42, in leer_maxmin
MemoryError: memory allocation failed, allocating 11440 bytes
