2024-07-26 -
This commit is contained in:
parent
8943d559d8
commit
08f11b7fb4
2
gps.py
2
gps.py
@ -45,7 +45,7 @@ def get_gps_position():
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answer = 0
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print('Iniciando GPS')
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rec_buff = ''
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send_at('AT+CGPS=1,1','OK',1)
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send_at('AT+CGPS=1','OK',1)
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time.sleep(2)
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while rec_null:
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answer = send_at('AT+CGPSINFO','+CGPSINFO: ',1)
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@ -73,7 +73,7 @@ def get_gps_position():
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def initialize_gps():
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print('Starting GPS')
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send_at('AT+CGPS=1,1', 'OK', 1)
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send_at('AT+CGPS=1', 'OK', 1)
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time.sleep(2)
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# Create CSV file with headers if it doesn't exist
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35
gps008.py
35
gps008.py
@ -12,7 +12,7 @@ GPIO.setwarnings(False)
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# Initialize serial port
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try:
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ser = serial.Serial('/dev/ttyUSB3', 115200)
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ser = serial.Serial('/dev/ttyUSB3', 9600)
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ser.flushInput()
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except serial.SerialException as e:
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print(f"Error initializing serial port: {e}")
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@ -38,8 +38,19 @@ def signal_handler(sig, frame):
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signal.signal(signal.SIGINT, signal_handler)
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def parse_gps_data(gps_string):
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# Implement GPS data parsing logic here
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pass
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parts = gps_string.split(',')
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if len(parts) < 4:
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return None
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lat = float(parts[0][:2]) + float(parts[0][2:]) / 60
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if parts[1] == 'S':
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lat = -lat
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lon = float(parts[2][:3]) + float(parts[2][3:]) / 60
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if parts[3] == 'W':
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lon = -lon
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return f"{lat:.6f}", f"{lon:.6f}"
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def write_to_csv(data):
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file_exists = os.path.isfile(csv_filename)
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@ -49,9 +60,21 @@ def write_to_csv(data):
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writer.writerow(csv_headers)
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writer.writerow(data)
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def send_data(data):
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# Implement data sending logic here
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pass
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def send_data(command, back, timeout):
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ser.write((command + '\r\n').encode())
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time.sleep(timeout)
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if ser.inWaiting():
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time.sleep(0.01)
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rec_buff = ser.read(ser.inWaiting()).decode()
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if back in rec_buff:
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gps_data = rec_buff.split('+CGPSINFO: ')[1].split('\r\n')[0]
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parsed_data = parse_gps_data(gps_data)
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if parsed_data:
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lat, lon = parsed_data
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print(f"GPS: Lat: {lat}, Lon: {lon}")
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write_to_csv(lat, lon)
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return 1
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return 0
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def main():
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while running:
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136
gps010.py
Normal file
136
gps010.py
Normal file
@ -0,0 +1,136 @@
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import RPi.GPIO as GPIO
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import serial
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import time
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from datetime import datetime
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import os
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import csv
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import requests
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import signal
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# GPIO configuration
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GPIO.setmode(GPIO.BCM)
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GPIO.setwarnings(False)
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# Initialize serial port
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try:
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ser = serial.Serial('/dev/ttyUSB3', 115200)
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ser.flushInput()
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except serial.SerialException as e:
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print(f"Error initializing serial port: {e}")
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exit(1)
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myhost = os.uname()[1]
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# CSV file settings
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csv_filename = f"gps_data_{myhost}.csv"
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csv_headers = ["Timestamp", "Latitude", "Longitude"]
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# Global flag for graceful exit
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running = True
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# List to store pending data
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pending_data = []
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def signal_handler(sig, frame):
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global running
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print('You pressed Ctrl+C! Stopping GPS tracking...')
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running = False
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signal.signal(signal.SIGINT, signal_handler)
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def parse_gps_data(gps_string):
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try:
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parts = gps_string.split(',')
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lat = float(parts[0][:2]) + float(parts[0][2:]) / 60
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if parts[1] == 'S':
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lat = -lat
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lon = float(parts[2][:3]) + float(parts[2][3:]) / 60
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if parts[3] == 'W':
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lon = -lon
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return f"{lat:.6f}", f"{lon:.6f}"
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except (IndexError, ValueError) as e:
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print(f"Error parsing GPS data: {e}")
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return None, None
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def write_to_csv(lat, lon):
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timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
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with open(csv_filename, mode='a', newline='') as file:
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writer = csv.writer(file)
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writer.writerow([timestamp, lat, lon])
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def send_data_to_influxdb(lat, lon):
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url = "http://100.64.0.24:8086/write?db=telegraf" # Reemplaza con tu URL
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data = f"gps_data,host={myhost} latitude={lat},longitude={lon} {int(time.time() * 1e9)}"
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try:
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response = requests.post(url, data=data)
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response.raise_for_status()
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print(f"Data sent successfully to InfluxDB: {response.status_code}")
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except requests.RequestException as e:
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print(f"Error sending data to InfluxDB: {e}")
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pending_data.append((lat, lon))
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def send_pending_data():
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global pending_data
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for data in pending_data[:]: # Iterate over a copy of the list
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try:
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send_data_to_influxdb(data[0], data[1])
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pending_data.remove(data)
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except Exception as e:
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print(f"Error sending data: {e}")
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break # Exit loop if sending fails
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def check_internet_connection():
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try:
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requests.get('http://www.google.com', timeout=3)
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return True
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except requests.ConnectionError:
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return False
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def send_at(command, back, timeout):
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ser.write((command + '\r\n').encode())
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time.sleep(timeout)
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if ser.inWaiting():
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time.sleep(0.01)
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rec_buff = ser.read(ser.inWaiting()).decode()
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if back in rec_buff:
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gps_data = rec_buff.split('+CGPSINFO: ')[1].split('\r\n')[0]
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parsed_data = parse_gps_data(gps_data)
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if parsed_data:
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lat, lon = parsed_data
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print(f"GPS: Lat: {lat}, Lon: {lon}")
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write_to_csv(lat, lon)
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if check_internet_connection():
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send_data_to_influxdb(lat, lon)
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else:
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pending_data.append((lat, lon))
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return 1
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return 0
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def get_gps_position():
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send_at('AT+CGPSINFO', '+CGPSINFO:', 1)
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if check_internet_connection():
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send_pending_data()
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def initialize_gps():
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print('Starting GPS')
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send_at('AT+CGPS=1,1', 'OK', 1)
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time.sleep(2)
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# Create CSV file with headers if it doesn't exist
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if not os.path.exists(csv_filename):
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with open(csv_filename, mode='w', newline='') as file:
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writer = csv.writer(file)
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writer.writerow(csv_headers)
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initialize_gps()
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print("Starting continuous GPS tracking. Press Ctrl+C to stop.")
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while running:
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get_gps_position()
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time.sleep(14) # Wait for 14 seconds before the next reading
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ser.close()
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GPIO.cleanup()
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print("GPS tracking stopped. Goodbye!")
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37
gps011.py
Normal file
37
gps011.py
Normal file
@ -0,0 +1,37 @@
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import csv
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from datetime import datetime
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from influxdb_client import InfluxDBClient, Point
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from influxdb_client.client.write_api import SYNCHRONOUS
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# InfluxDB connection parameters
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url = "http://100.64.0.24:8086"
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token = "IPtqPXbaXuuMHvx_tUOt1cmIZfLHucd-9DcepXTVpQc-fNKBhp6pkhyTsq_XnoGXdxwILy5AFFgZ_QUZCE5Jhg=="
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org = "juandiego"
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bucket = "gps_data"
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# Connect to InfluxDB
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client = InfluxDBClient(url=url, token=token, org=org)
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write_api = client.write_api(write_options=SYNCHRONOUS)
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# Read CSV file
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with open('gps_data_raspberrypi.csv', 'r') as csvfile:
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csvreader = csv.DictReader(csvfile)
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for row in csvreader:
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# Assuming your CSV has 'timestamp', 'measurement', and 'value' columns
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timestamp = datetime.fromisoformat(row['timestamp'])
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measurement = row['measurement']
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value = float(row['value'])
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# Create a Point
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point = Point(measurement) \
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.time(timestamp) \
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.field("value", value)
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# Write the point to InfluxDB
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write_api.write(bucket=bucket, org=org, record=point)
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print("Data import completed")
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# Close the client
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client.close()
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@ -5954,3 +5954,84 @@ Timestamp,Latitude,Longitude
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2024-07-26 17:24:33,9.939789,-84.105024
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2024-07-26 17:24:48,9.939788,-84.105025
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2024-07-26 17:25:03,9.939787,-84.105025
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2024-07-26 18:04:44,,
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2024-07-26 18:05:16,,
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2024-07-26 18:05:20,,
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2024-07-26 18:39:59,,
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2024-07-26 18:40:18,,
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2024-07-26 18:40:37,,
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2024-07-26 18:52:54,9.940134,-84.105023
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2024-07-26 18:53:09,9.939868,-84.104842
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2024-07-26 18:53:24,9.939948,-84.104932
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2024-07-26 18:53:39,9.940019,-84.104949
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2024-07-26 18:53:54,9.940023,-84.104955
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2024-07-26 18:54:09,9.940023,-84.104955
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2024-07-26 18:54:24,9.940023,-84.104956
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2024-07-26 18:54:39,9.940023,-84.104955
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2024-07-26 18:54:54,9.940022,-84.104954
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2024-07-26 18:55:09,9.940022,-84.104954
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2024-07-26 18:55:24,9.940022,-84.104954
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2024-07-26 18:55:39,9.940023,-84.104954
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2024-07-26 18:55:54,9.940023,-84.104953
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2024-07-26 18:56:09,9.940023,-84.104953
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2024-07-26 18:56:24,9.940024,-84.104953
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2024-07-26 18:56:39,9.940024,-84.104953
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2024-07-26 18:56:54,9.940023,-84.104952
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2024-07-26 18:57:09,9.940033,-84.104945
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2024-07-26 18:57:24,9.939985,-84.104922
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2024-07-26 18:57:39,9.939985,-84.104921
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2024-07-26 18:57:54,9.939985,-84.104921
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2024-07-26 18:58:09,9.939977,-84.104905
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2024-07-26 18:58:24,9.939955,-84.104910
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2024-07-26 18:58:39,9.939955,-84.104910
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2024-07-26 18:58:54,9.939956,-84.104909
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2024-07-26 18:59:09,9.939955,-84.104909
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2024-07-26 18:59:24,9.939956,-84.104909
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2024-07-26 18:59:39,9.939959,-84.104906
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2024-07-26 18:59:54,9.939965,-84.104901
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2024-07-26 19:00:09,9.939965,-84.104901
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2024-07-26 19:00:24,9.939965,-84.104901
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2024-07-26 19:00:39,9.939965,-84.104901
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2024-07-26 19:00:54,9.939965,-84.104901
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2024-07-26 19:01:09,9.939965,-84.104901
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2024-07-26 19:01:24,9.939965,-84.104901
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2024-07-26 19:01:39,9.939965,-84.104901
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2024-07-26 19:01:54,9.939965,-84.104901
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2024-07-26 19:02:09,9.939965,-84.104901
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2024-07-26 19:02:24,9.939964,-84.104902
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2024-07-26 19:02:39,9.939964,-84.104902
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2024-07-26 19:02:54,9.939964,-84.104902
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2024-07-26 19:03:09,9.939963,-84.104902
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2024-07-26 19:03:24,9.939963,-84.104903
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2024-07-26 19:03:39,9.939964,-84.104903
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2024-07-26 19:03:54,9.939964,-84.104904
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2024-07-26 19:04:10,9.939964,-84.104904
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2024-07-26 19:04:25,9.939964,-84.104904
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2024-07-26 19:04:40,9.939965,-84.104904
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2024-07-26 19:04:55,9.939965,-84.104904
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2024-07-26 19:05:10,9.939966,-84.104904
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2024-07-26 19:05:25,9.939966,-84.104904
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2024-07-26 19:05:40,9.939966,-84.104904
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2024-07-26 19:05:55,9.939966,-84.104904
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2024-07-26 19:06:10,9.939988,-84.104884
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2024-07-26 19:06:25,9.939988,-84.104883
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2024-07-26 19:06:40,9.939987,-84.104881
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2024-07-26 19:06:55,9.939988,-84.104883
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2024-07-26 19:07:10,9.939988,-84.104882
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2024-07-26 19:07:42,9.939988,-84.104882
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2024-07-26 19:07:57,9.939988,-84.104882
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2024-07-26 19:08:12,9.939988,-84.104882
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2024-07-26 19:08:27,9.939988,-84.104882
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2024-07-26 19:08:42,9.939988,-84.104882
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2024-07-26 19:08:57,9.939988,-84.104882
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2024-07-26 19:09:12,9.939989,-84.104882
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2024-07-26 19:09:27,9.939989,-84.104881
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2024-07-26 19:09:42,9.939989,-84.104882
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2024-07-26 19:09:57,9.939989,-84.104881
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2024-07-26 19:10:12,9.939989,-84.104881
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2024-07-26 19:10:27,9.939989,-84.104881
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2024-07-26 19:10:42,9.939989,-84.104883
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2024-07-26 19:10:57,9.939989,-84.104886
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2024-07-26 19:11:12,9.939990,-84.104887
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2024-07-26 19:11:27,9.939989,-84.104886
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2024-07-26 19:11:42,9.939991,-84.104889
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64
gpssend.py
Normal file
64
gpssend.py
Normal file
@ -0,0 +1,64 @@
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import csv
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from datetime import datetime
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from influxdb_client import InfluxDBClient, Point
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from influxdb_client.client.write_api import SYNCHRONOUS
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# InfluxDB connection parameters
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url = "http://100.64.0.24:8086"
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token = "IPtqPXbaXuuMHvx_tUOt1cmIZfLHucd-9DcepXTVpQc-fNKBhp6pkhyTsq_XnoGXdxwILy5AFFgZ_QUZCE5Jhg=="
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org = "juandiego"
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bucket = "gps_data"
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# Authentication credentials
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#username = "your-username"
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#password = "your-password"
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# Connect to InfluxDB with authentication
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client = InfluxDBClient(url=url, token=token, org=org)
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write_api = client.write_api(write_options=SYNCHRONOUS)
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# Read CSV file
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with open('gps_data_raspberrypi.csv', 'r') as csvfile:
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csvreader = csv.DictReader(csvfile)
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# Print column names for debugging
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print("CSV columns:", csvreader.fieldnames)
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for row in csvreader:
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# Flexible handling of columns
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timestamp = None
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measurement = "default_measurement"
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fields = {}
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for key, value in row.items():
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if key.lower() == 'timestamp' and value:
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timestamp = datetime.fromisoformat(value)
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elif key.lower() == 'measurement':
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measurement = value
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else:
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# Try to convert to float, if not possible, store as string
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try:
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fields[key] = float(value)
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except ValueError:
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fields[key] = value
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# If no timestamp found, use current time
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if timestamp is None:
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timestamp = datetime.utcnow()
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# Create a Point
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point = Point(measurement).time(timestamp)
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# Add all fields to the point
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for key, value in fields.items():
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point = point.field(key, value)
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# Write the point to InfluxDB
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write_api.write(bucket=bucket, org=org, record=point)
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print(f"Wrote point: {measurement} at {timestamp} with fields {fields}")
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print("Data import completed")
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# Close the client
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client.close()
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@ -6,6 +6,7 @@ import time
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# Limpiar configuración previa de GPIO
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GPIO.setmode(GPIO.BCM)
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GPIO.setwarnings(False)
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||||
GPIO.cleanup()
|
||||
|
||||
# MQTT Broker settings
|
||||
@ -38,7 +39,7 @@ sensy_boi.close_port_after_each_call = True
|
||||
PIN_17 = 17
|
||||
LuzPuerta = 18
|
||||
LuzEncendido = 23
|
||||
GPIO.setup(PIN_17, GPIO.IN, pull_up_down=GPIO.PUD_UP)
|
||||
GPIO.setup(PIN_17, GPIO.IN)
|
||||
GPIO.setup(LuzPuerta, GPIO.OUT)
|
||||
GPIO.setup(LuzEncendido, GPIO.OUT)
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user