642 lines
26 KiB
Python
Executable File
642 lines
26 KiB
Python
Executable File
"""
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____ _ ____ _ ____ _ ____ _
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/ ___| / \ | _ \ / \ / ___| ___ _ __ __| | | _ \ __ _| |_ __ _
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\___ \ / _ \ | |_) | / _ \ \___ \ / _ \ '_ \ / _` | | | | |/ _` | __/ _` |
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___) / ___ \| _ < / ___ \ ___) | __/ | | | (_| | | |_| | (_| | || (_| |
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|____/_/ \_\_| \_\/_/ \_\ |____/ \___|_| |_|\__,_| |____/ \__,_|\__\__,_|
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Main loop to gather data from sensor inside SQLite database:
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* NPM
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* Envea
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* I2C BME280
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* Noise sensor
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and send it to AirCarto servers via SARA R4 HTTP post requests
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also send the timestamp (already stored inside the DB) !
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/usr/bin/python3 /var/www/nebuleair_pro_4g/loop/SARA_send_data_v2.py
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ATTENTION:
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# This script is triggered every minutes by /var/www/nebuleair_pro_4g/master.py (as a service)
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CSV PAYLOAD (AirCarto Servers)
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Endpoint:
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data.nebuleair.fr
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/pro_4G/data.php?sensor_id={device_id}×tamp={rtc_module_time}
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ATTENTION : do not change order !
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CSV size: 18
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{PM1},{PM25},{PM10},{temp},{hum},{press},{avg_noise},{max_noise},{min_noise},{envea_no2},{envea_h2s},{envea_o3},{4g_signal_quality}
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0 -> PM1 (μg/m3)
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1 -> PM25 (μg/m3)
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2 -> PM10 (μg/m3)
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3 -> temp
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4 -> hum
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5 -> press
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6 -> avg_noise
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7 -> max_noise
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8 -> min_noise
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9 -> envea_no2
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10 -> envea_h2s
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11 -> envea_nh3
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12 -> 4G signal quality,
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13 -> PM 0.2μm to 0.5μm quantity (Nb/L)
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14 -> PM 0.5μm to 1.0μm quantity (Nb/L)
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15 -> PM 1.0μm to 2.5μm quantity (Nb/L)
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16 -> PM 2.5μm to 5.0μm quantity (Nb/L)
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17 -> PM 5.0μm to 10μm quantity (Nb/L)
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18 -> NPM temp inside
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19 -> NPM hum inside
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JSON PAYLOAD (Micro-Spot Servers)
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Same as NebuleAir wifi
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Endpoint:
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api-prod.uspot.probesys.net
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nebuleair?token=2AFF6dQk68daFZ
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port 443
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{"nebuleairid": "82D25549434",
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"software_version": "ModuleAirV2-V1-042022",
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"sensordatavalues":
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[
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{"value_type":"NPM_P0","value":"1.54"},
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{"value_type":"NPM_P1","value":"1.54"},
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{"value_type":"NPM_P2","value":"1.54"},
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{"value_type":"NPM_N1","value":"0.02"},
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{"value_type":"NPM_N10","value":"0.02"},
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{"value_type":"NPM_N25","value":"0.02"},
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{"value_type":"MHZ16_CO2","value":"793.00"},
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{"value_type":"SGP40_VOC","value":"29915.00"},
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{"value_type":"samples","value":"134400"},
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{"value_type":"min_micro","value":"137"},
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{"value_type":"max_micro","value":"155030"},
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{"value_type":"interval","value":"145000"},
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{"value_type":"signal","value":"-80"},
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{"value_type":"latitude","value":"43.2964"},
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{"value_type":"longitude","value":"5.36978"},
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{"value_type":"state_npm","value":"State: 00000000"},
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{"value_type":"BME280_temperature","value":"28.47"},
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{"value_type":"BME280_humidity","value":"28.47"},
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{"value_type":"BME280_pressure","value":"28.47"},
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{"value_type":"CAIRSENS_NO2","value":"54"},
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{"value_type":"CAIRSENS_H2S","value":"54"},
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{"value_type":"CAIRSENS_O3","value":"54"}
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]
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}
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"""
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import board
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import json
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import serial
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import time
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import busio
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import re
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import os
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import traceback
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import sys
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import sqlite3
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import RPi.GPIO as GPIO
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from threading import Thread
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from datetime import datetime
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# Record the start time of the script
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start_time_script = time.time()
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# Check system uptime
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with open('/proc/uptime', 'r') as f:
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uptime_seconds = float(f.readline().split()[0])
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# Skip execution if uptime is less than 2 minutes (120 seconds)
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if uptime_seconds < 120:
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print(f"System just booted ({uptime_seconds:.2f} seconds uptime), skipping execution.")
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sys.exit()
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#Payload CSV to be sent to data.nebuleair.fr
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payload_csv = [None] * 25
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#Payload JSON to be sent to uSpot
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payload_json = {
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"nebuleairid": "XXX",
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"software_version": "ModuleAirV2-V1-042022",
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"sensordatavalues": [] # Empty list to start with
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}
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# SARA R4 UHTTPC profile IDs
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aircarto_profile_id = 0
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uSpot_profile_id = 1
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# database connection
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conn = sqlite3.connect("/var/www/nebuleair_pro_4g/sqlite/sensors.db")
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cursor = conn.cursor()
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def blink_led(pin, blink_count, delay=1):
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"""
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Blink an LED on a specified GPIO pin.
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Args:
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pin (int): GPIO pin number (BCM mode) to which the LED is connected.
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blink_count (int): Number of times the LED should blink.
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delay (float): Time in seconds for the LED to stay ON or OFF (default is 1 second).
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"""
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# GPIO setup
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GPIO.setwarnings(False)
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GPIO.setmode(GPIO.BCM) # Use BCM numbering
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GPIO.setup(pin, GPIO.OUT) # Set the specified pin as an output
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try:
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for _ in range(blink_count):
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GPIO.output(pin, GPIO.HIGH) # Turn the LED on
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#print(f"LED on GPIO {pin} is ON")
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time.sleep(delay) # Wait for the specified delay
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GPIO.output(pin, GPIO.LOW) # Turn the LED off
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#print(f"LED on GPIO {pin} is OFF")
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time.sleep(delay) # Wait for the specified delay
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finally:
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GPIO.cleanup(pin) # Clean up the specific pin to reset its state
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print(f"GPIO {pin} cleaned up")
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#get data from config
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def load_config(config_file):
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try:
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with open(config_file, 'r') as file:
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config_data = json.load(file)
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return config_data
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except Exception as e:
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print(f"Error loading config file: {e}")
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return {}
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#Fonction pour mettre à jour le JSON de configuration
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def update_json_key(file_path, key, value):
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"""
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Updates a specific key in a JSON file with a new value.
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:param file_path: Path to the JSON file.
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:param key: The key to update in the JSON file.
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:param value: The new value to assign to the key.
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"""
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try:
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# Load the existing data
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with open(file_path, "r") as file:
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data = json.load(file)
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# Check if the key exists in the JSON file
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if key in data:
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data[key] = value # Update the key with the new value
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else:
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print(f"Key '{key}' not found in the JSON file.")
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return
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# Write the updated data back to the file
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with open(file_path, "w") as file:
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json.dump(data, file, indent=2) # Use indent for pretty printing
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print(f"💾updating '{key}' to '{value}'.")
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except Exception as e:
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print(f"Error updating the JSON file: {e}")
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# Define the config file path
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config_file = '/var/www/nebuleair_pro_4g/config.json'
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# Load the configuration data
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config = load_config(config_file)
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device_latitude_raw = config.get('latitude_raw', 0)
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device_longitude_raw = config.get('longitude_raw', 0)
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baudrate = config.get('SaraR4_baudrate', 115200) #baudrate du sara R4
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device_id = config.get('deviceID', '').upper() #device ID en maj
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bme_280_config = config.get('BME280/get_data_v2.py', False) #présence du BME280
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envea_cairsens= config.get('envea/read_value_v2.py', False)
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send_aircarto = config.get('send_aircarto', True) #envoi sur AirCarto (data.nebuleair.fr)
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send_uSpot = config.get('send_uSpot', False) #envoi sur MicroSpot ()
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selected_networkID = config.get('SARA_R4_neworkID', '')
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npm_5channel = config.get('NextPM_5channels', False) #5 canaux du NPM
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modem_config_mode = config.get('modem_config_mode', False) #modem 4G en mode configuration
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#update device id in the payload json
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payload_json["nebuleairid"] = device_id
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# Skip execution if modem_config_mode is true
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if modem_config_mode:
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print("Modem 4G (SARA R4) is in config mode -> EXIT")
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sys.exit()
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ser_sara = serial.Serial(
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port='/dev/ttyAMA2',
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baudrate=baudrate, #115200 ou 9600
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parity=serial.PARITY_NONE, #PARITY_NONE, PARITY_EVEN or PARITY_ODD
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stopbits=serial.STOPBITS_ONE,
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bytesize=serial.EIGHTBITS,
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timeout = 2
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)
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def read_complete_response(serial_connection, timeout=2, end_of_response_timeout=2, wait_for_lines=None, debug=True):
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'''
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Fonction très importante !!!
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Reads the complete response from a serial connection and waits for specific lines.
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'''
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if wait_for_lines is None:
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wait_for_lines = [] # Default to an empty list if not provided
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response = bytearray()
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serial_connection.timeout = timeout
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end_time = time.time() + end_of_response_timeout
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start_time = time.time()
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while True:
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elapsed_time = time.time() - start_time # Time since function start
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if serial_connection.in_waiting > 0:
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data = serial_connection.read(serial_connection.in_waiting)
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response.extend(data)
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end_time = time.time() + end_of_response_timeout # Reset timeout on new data
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# Decode and check for any target line
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decoded_response = response.decode('utf-8', errors='replace')
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for target_line in wait_for_lines:
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if target_line in decoded_response:
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if debug:
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print(f"[DEBUG] 🔎 Found target line: {target_line} (in {elapsed_time:.2f}s)")
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return decoded_response # Return response immediately if a target line is found
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elif time.time() > end_time:
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if debug:
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print(f"[DEBUG] Timeout reached. No more data received.")
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break
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time.sleep(0.1) # Short sleep to prevent busy waiting
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# Final response and debug output
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total_elapsed_time = time.time() - start_time
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if debug:
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print(f"[DEBUG] ⏱️ elapsed time: {total_elapsed_time:.2f}s. ⏱️")
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# Check if the elapsed time exceeded 10 seconds
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if total_elapsed_time > 10 and debug:
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print(f"[ALERT] 🚨 The operation took too long 🚨")
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print(f'<span style="color: red;font-weight: bold;">[ALERT] ⚠️{total_elapsed_time:.2f}s⚠️</span>')
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return response.decode('utf-8', errors='replace') # Return the full response if no target line is found
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try:
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'''
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_ ___ ___ ____
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| | / _ \ / _ \| _ \
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| | | | | | | | | |_) |
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| |__| |_| | |_| | __/
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|_____\___/ \___/|_|
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'''
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print('<h3>START LOOP</h3>')
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#Local timestamp
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print("➡️Getting local timestamp")
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cursor.execute("SELECT * FROM timestamp_table LIMIT 1")
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row = cursor.fetchone() # Get the first (and only) row
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rtc_time_str = row[1] # '2025-02-07 12:30:45'
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# Convert to a datetime object
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dt_object = datetime.strptime(rtc_time_str, '%Y-%m-%d %H:%M:%S')
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# Convert to InfluxDB RFC3339 format with UTC 'Z' suffix
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influx_timestamp = dt_object.strftime('%Y-%m-%dT%H:%M:%SZ')
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print(influx_timestamp)
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#NEXTPM
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print("➡️Getting NPM values (last 6 measures)")
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#cursor.execute("SELECT * FROM data_NPM ORDER BY timestamp DESC LIMIT 1")
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cursor.execute("SELECT * FROM data_NPM ORDER BY timestamp DESC LIMIT 6")
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rows = cursor.fetchall()
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# Exclude the timestamp column (assuming first column is timestamp)
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data_values = [row[1:] for row in rows] # Exclude timestamp
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# Compute column-wise average
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num_columns = len(data_values[0])
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averages = [round(sum(col) / len(col),1) for col in zip(*data_values)]
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PM1 = averages[0]
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PM25 = averages[1]
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PM10 = averages[2]
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npm_temp = averages[3]
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npm_hum = averages[4]
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#Add data to payload CSV
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payload_csv[0] = PM1
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payload_csv[1] = PM25
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payload_csv[2] = PM10
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payload_csv[18] = npm_temp
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payload_csv[19] = npm_hum
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#Add data to payload JSON
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payload_json["sensordatavalues"].append({"value_type": "NPM_P0", "value": str(PM1)})
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payload_json["sensordatavalues"].append({"value_type": "NPM_P1", "value": str(PM10)})
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payload_json["sensordatavalues"].append({"value_type": "NPM_P2", "value": str(PM25)})
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#NextPM 5 channels
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if npm_5channel:
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print("➡️Getting NextPM 5 channels values (last 6 measures)")
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cursor.execute("SELECT * FROM data_NPM_5channels ORDER BY timestamp DESC LIMIT 6")
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rows = cursor.fetchall()
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# Exclude the timestamp column (assuming first column is timestamp)
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data_values = [row[1:] for row in rows] # Exclude timestamp
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# Compute column-wise average
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num_columns = len(data_values[0])
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averages = [round(sum(col) / len(col)) for col in zip(*data_values)]
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# Store averages in specific indices
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payload_csv[13] = averages[0] # Channel 1
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payload_csv[14] = averages[1] # Channel 2
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payload_csv[15] = averages[2] # Channel 3
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payload_csv[16] = averages[3] # Channel 4
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payload_csv[17] = averages[4] # Channel 5
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#BME280
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if bme_280_config:
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print("➡️Getting BME280 values")
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cursor.execute("SELECT * FROM data_BME280 ORDER BY timestamp DESC LIMIT 1")
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last_row = cursor.fetchone()
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if last_row:
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print("SQLite DB last available row:", last_row)
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BME280_temperature = last_row[1]
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BME280_humidity = last_row[2]
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BME280_pressure = last_row[3]
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#Add data to payload CSV
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payload_csv[3] = BME280_temperature
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payload_csv[4] = BME280_humidity
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payload_csv[5] = BME280_pressure
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#Add data to payload JSON
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payload_json["sensordatavalues"].append({"value_type": "BME280_temperature", "value": str(BME280_temperature)})
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payload_json["sensordatavalues"].append({"value_type": "BME280_humidity", "value": str(BME280_humidity)})
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payload_json["sensordatavalues"].append({"value_type": "BME280_pressure", "value": str(BME280_pressure)})
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else:
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print("No data available in the database.")
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#envea
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if envea_cairsens:
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print("➡️Getting envea cairsens values")
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cursor.execute("SELECT * FROM data_envea ORDER BY timestamp DESC LIMIT 6")
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rows = cursor.fetchall()
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# Exclude the timestamp column (assuming first column is timestamp)
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data_values = [row[1:] for row in rows] # Exclude timestamp
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# Compute column-wise average, ignoring 0 values
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averages = []
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for col in zip(*data_values): # Iterate column-wise
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filtered_values = [val for val in col if val != 0] # Remove zeros
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if filtered_values:
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avg = round(sum(filtered_values) / len(filtered_values)) # Compute average
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else:
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avg = 0 # If all values were zero, store 0
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averages.append(avg)
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# Store averages in specific indices
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payload_csv[9] = averages[0] # envea_no2
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payload_csv[10] = averages[1] # envea_h2s
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payload_csv[11] = averages[2] # envea_nh3
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#Add data to payload JSON
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payload_json["sensordatavalues"].append({"value_type": "CAIRSENS_NO2", "value": str(averages[0])})
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payload_json["sensordatavalues"].append({"value_type": "CAIRSENS_NO2", "value": str(averages[1])})
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payload_json["sensordatavalues"].append({"value_type": "CAIRSENS_NH3", "value": str(averages[2])})
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print("Verify SARA R4 connection")
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# Getting the LTE Signal
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print("-> Getting LTE signal <-")
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ser_sara.write(b'AT+CSQ\r')
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response2 = read_complete_response(ser_sara, wait_for_lines=["OK"])
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print('<p class="text-danger-emphasis">')
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print(response2)
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print("</p>")
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match = re.search(r'\+CSQ:\s*(\d+),', response2)
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if match:
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signal_quality = int(match.group(1))
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payload_csv[12]=signal_quality
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time.sleep(0.1)
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# On vérifie si le signal n'est pas à 99 pour déconnexion
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# si c'est le cas on essaie de se reconnecter
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if signal_quality == 99:
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print('<span style="color: red;font-weight: bold;">⚠️ATTENTION: Signal Quality indicates no signal (99)⚠️</span>')
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print("TRY TO RECONNECT:")
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command = f'AT+COPS=1,2,"{selected_networkID}"\r'
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ser_sara.write(command.encode('utf-8'))
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responseReconnect = read_complete_response(ser_sara, timeout=20, end_of_response_timeout=20)
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print('<p class="text-danger-emphasis">')
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print(responseReconnect)
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print("</p>")
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print('🛑STOP LOOP🛑')
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print("<hr>")
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#on arrete le script pas besoin de continuer
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sys.exit()
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else:
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print("Signal Quality:", signal_quality)
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'''
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SEND TO AIRCARTO
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'''
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# Write Data to saraR4
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# 1. Open sensordata_csv.json (with correct data size)
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csv_string = ','.join(str(value) if value is not None else '' for value in payload_csv)
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size_of_string = len(csv_string)
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print("Open JSON:")
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command = f'AT+UDWNFILE="sensordata_csv.json",{size_of_string}\r'
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ser_sara.write(command.encode('utf-8'))
|
||
response_SARA_1 = read_complete_response(ser_sara, wait_for_lines=[">"], debug=False)
|
||
print(response_SARA_1)
|
||
time.sleep(1)
|
||
|
||
#2. Write to shell
|
||
print("Write data to memory:")
|
||
ser_sara.write(csv_string.encode())
|
||
response_SARA_2 = read_complete_response(ser_sara, wait_for_lines=["OK"], debug=False)
|
||
print(response_SARA_2)
|
||
|
||
#3. Send to endpoint (with device ID)
|
||
print("Send data (POST REQUEST):")
|
||
command= f'AT+UHTTPC={aircarto_profile_id},4,"/pro_4G/data.php?sensor_id={device_id}&lat{device_latitude_raw}=&long={device_longitude_raw}&datetime={influx_timestamp}","server_response.txt","sensordata_csv.json",4\r'
|
||
ser_sara.write(command.encode('utf-8'))
|
||
|
||
response_SARA_3 = read_complete_response(ser_sara, timeout=5, end_of_response_timeout=120, wait_for_lines=["+UUHTTPCR", "+CME ERROR"], debug=True)
|
||
|
||
print('<p class="text-danger-emphasis">')
|
||
print(response_SARA_3)
|
||
print("</p>")
|
||
|
||
# si on recoit la réponse UHTTPCR
|
||
if "+UUHTTPCR" in response_SARA_3:
|
||
print("✅ Received +UUHTTPCR response.")
|
||
|
||
# Les types de réponse
|
||
|
||
# 1.La commande n'a pas fonctionné
|
||
# +CME ERROR: No connection to phone
|
||
# +CME ERROR: Operation not allowed
|
||
|
||
# 2.La commande fonctionne: elle renvoie un code
|
||
# +UUHTTPCR: <profile_id>,<http_command>,<http_result>
|
||
# <http_result>: 1 pour sucess et 0 pour fail
|
||
# +UUHTTPCR: 0,4,1 -> OK
|
||
# +UUHTTPCR: 0,4,0 -> error
|
||
|
||
# Split response into lines
|
||
lines = response_SARA_3.strip().splitlines()
|
||
|
||
# 1.Vérifier si la réponse contient un message d'erreur CME
|
||
if "+CME ERROR" in lines[-1]:
|
||
print("*****")
|
||
print('<span style="color: red;font-weight: bold;">ATTENTION: CME ERROR</span>')
|
||
print("error:", lines[-1])
|
||
print("*****")
|
||
#update status
|
||
update_json_key(config_file, "SARA_R4_network_status", "disconnected")
|
||
|
||
# Gestion de l'erreur spécifique
|
||
if "No connection to phone" in lines[-1]:
|
||
print("No connection to the phone. Retrying or reset may be required.")
|
||
# Actions spécifiques pour ce type d'erreur (par exemple, réinitialiser ou tenter de reconnecter)
|
||
# need to reconnect to network
|
||
# and reset HTTP profile (AT+UHTTP=0) -> ne fonctionne pas..
|
||
# tester un reset avec CFUN 15
|
||
# 1.Reconnexion au réseau (AT+COPS)
|
||
command = f'AT+COPS=1,2,"{selected_networkID}"\r'
|
||
ser_sara.write(command.encode('utf-8'))
|
||
responseReconnect = read_complete_response(ser_sara)
|
||
print("Response reconnect:")
|
||
print(responseReconnect)
|
||
print("End response reconnect")
|
||
|
||
elif "Operation not allowed" in lines[-1]:
|
||
print("Operation not allowed. This may require a different configuration.")
|
||
# Actions spécifiques pour ce type d'erreur
|
||
|
||
# Clignotement LED rouge en cas d'erreur
|
||
led_thread = Thread(target=blink_led, args=(24, 5, 0.5))
|
||
led_thread.start()
|
||
|
||
else:
|
||
# 2.Si la réponse contient une réponse HTTP valide
|
||
# Extract HTTP response code from the last line
|
||
# ATTENTION: lines[-1] renvoie l'avant dernière ligne et il peut y avoir un soucis avec le OK
|
||
# rechercher plutot
|
||
http_response = lines[-1] # "+UUHTTPCR: 0,4,0"
|
||
parts = http_response.split(',')
|
||
|
||
# 2.1 code 0 (HTTP failed)
|
||
if len(parts) == 3 and parts[-1] == '0': # The third value indicates success
|
||
print("*****")
|
||
print('<span style="color: red;font-weight: bold;">ATTENTION: HTTP operation failed</span>')
|
||
update_json_key(config_file, "SARA_R4_network_status", "disconnected")
|
||
print("*****")
|
||
print("Blink red LED")
|
||
# Run LED blinking in a separate thread
|
||
led_thread = Thread(target=blink_led, args=(24, 5, 0.5))
|
||
led_thread.start()
|
||
|
||
# Get error code
|
||
print("Getting error code (11->Server connection error, 73->Secure socket connect error)")
|
||
command = f'AT+UHTTPER={aircarto_profile_id}\r'
|
||
ser_sara.write(command.encode('utf-8'))
|
||
response_SARA_9 = read_complete_response(ser_sara, wait_for_lines=["OK"], debug=False)
|
||
print('<p class="text-danger-emphasis">')
|
||
print(response_SARA_9)
|
||
print("</p>")
|
||
|
||
'''
|
||
+UHTTPER: profile_id,error_class,error_code
|
||
|
||
error_class
|
||
0 OK, no error
|
||
3 HTTP Protocol error class
|
||
10 Wrong HTTP API USAGE
|
||
|
||
error_code (for error_class 3)
|
||
0 No error
|
||
11 Server connection error
|
||
73 Secure socket connect error
|
||
'''
|
||
|
||
#Pas forcément un moyen de résoudre le soucis
|
||
#print("resetting the URL (domain name):")
|
||
#command = f'AT+UHTTP={aircarto_profile_id},1,"{url_nebuleair}"\r'
|
||
#ser_sara.write(command.encode('utf-8'))
|
||
#response_SARA_31 = read_complete_response(ser_sara)
|
||
#print(response_SARA_31)
|
||
|
||
# 2.2 code 1 (HHTP succeded)
|
||
else:
|
||
# Si la commande HTTP a réussi
|
||
print('<span class="badge text-bg-success">HTTP operation successful.</span>')
|
||
update_json_key(config_file, "SARA_R4_network_status", "connected")
|
||
print("Blink blue LED")
|
||
led_thread = Thread(target=blink_led, args=(23, 5, 0.5))
|
||
led_thread.start()
|
||
#4. Read reply from server
|
||
print("Reply from server:")
|
||
ser_sara.write(b'AT+URDFILE="server_response.txt"\r')
|
||
response_SARA_4 = read_complete_response(ser_sara, wait_for_lines=["OK"], debug=False)
|
||
print('<p class="text-success">')
|
||
print(response_SARA_4)
|
||
print('</p>')
|
||
|
||
#Si non ne recoit pas de réponse UHTTPCR
|
||
#on a peut etre une ERROR de type "+CME ERROR: No connection to phone"
|
||
else:
|
||
print('<span style="color: red;font-weight: bold;">No UUHTTPCR response</span>')
|
||
print("Blink red LED")
|
||
# Run LED blinking in a separate thread
|
||
led_thread = Thread(target=blink_led, args=(24, 5, 0.5))
|
||
led_thread.start()
|
||
#Vérification de l'erreur
|
||
print("Getting type of error")
|
||
# Split the response into lines and search for "+CME ERROR:"
|
||
lines2 = response_SARA_3.strip().splitlines()
|
||
for line in lines2:
|
||
if "+CME ERROR" in line:
|
||
error_message = line.split("+CME ERROR:")[1].strip()
|
||
print("*****")
|
||
print('<span style="color: red;font-weight: bold;">⚠️ATTENTION: CME ERROR⚠️</span>')
|
||
print(f"Error type: {error_message}")
|
||
print("*****")
|
||
# Handle "No connection to phone" error
|
||
if error_message == "No connection to phone":
|
||
print('<span style="color: orange;font-weight: bold;">📞Try reconnect to network📞</span>')
|
||
#IMPORTANT!
|
||
# Reconnexion au réseau (AT+COPS)
|
||
#command = f'AT+COPS=1,2,{selected_networkID}\r'
|
||
command = f'AT+COPS=0\r'
|
||
ser_sara.write(command.encode('utf-8'))
|
||
responseReconnect = read_complete_response(ser_sara, timeout=5, end_of_response_timeout=120, wait_for_lines=["OK", "+CME ERROR"], debug=True)
|
||
print('<p class="text-danger-emphasis">')
|
||
print(responseReconnect)
|
||
print("</p>")
|
||
# Handle "Operation not allowed" error
|
||
if error_message == "Operation not allowed":
|
||
print('<span style="color: orange;font-weight: bold;">❓Try Resetting the HTTP Profile❓</span>')
|
||
command = f'AT+UHTTP={aircarto_profile_id},1,"data.nebuleair.fr"\r'
|
||
ser_sara.write(command.encode('utf-8'))
|
||
responseResetHTTP_profile = read_complete_response(ser_sara, timeout=5, end_of_response_timeout=5, wait_for_lines=["OK", "+CME ERROR"], debug=True)
|
||
print('<p class="text-danger-emphasis">')
|
||
print(responseResetHTTP_profile)
|
||
print("</p>")
|
||
|
||
|
||
|
||
#5. empty json
|
||
print("Empty SARA memory:")
|
||
ser_sara.write(b'AT+UDELFILE="sensordata_csv.json"\r')
|
||
response_SARA_5 = read_complete_response(ser_sara, wait_for_lines=["OK"], debug=False)
|
||
print(response_SARA_5)
|
||
|
||
|
||
|
||
|
||
|
||
# Calculate and print the elapsed time
|
||
elapsed_time = time.time() - start_time_script
|
||
print(f"Elapsed time: {elapsed_time:.2f} seconds")
|
||
print("<hr>")
|
||
|
||
except Exception as e:
|
||
print("An error occurred:", e)
|
||
traceback.print_exc() # This prints the full traceback |