class CarLight:
def __init__(self):
# Enter your own generated bolt API Key & Your own Device Id
self.api_key = "638f9a4d-809a-4e47-ac2a-4436e195b503"
self.device_id = "BOLT290339"
# Setting Threshold value
self.maximum_limit = 170
## Connecting to the bolt IoT Module
self.mybolt = Bolt(self.api_key, self.device_id)
print(format("Automatic Car light Controller and Adjuster", '_^50'))
self.error = '{"success": "0", "message": "A Connection error occurred"}'
self.offline = '{"value": "offline", "time": null, "success": 1}'
def start(self):
# Checking Bolt Device is offline or Online
result = self.mybolt.isOnline()
if result == self.error:
print(
"\n Check weather your computer or bolt device is connected to Internet....."
)
elif result == self.offline:
print("\n Bolt Device is offline")
else:
while True:
print("\n Collecting Value from Sensor")
# Collecting Response from the sensor
response = self.mybolt.analogRead('A0')
data = json.loads(response)
if data['value'].isnumeric():
intent = int(data['value'])
print("value from sensor is: " + str(intent))
# Comparing Light Intensity & Threshold Value
if intent > self.maximum_limit:
# If light Intensity is Higher Than Threshold Value Then Dipper is On.
analog_ack = self.mybolt.analogWrite('1', '120')
digital_ack = self.mybolt.digitalWrite('0', 'LOW')
print("Car's Dipper light is On ")
else:
# Else Main Headlight is On & Dipper is Off
analog_ack = self.mybolt.digitalWrite('0', 'HIGH')
digital_ack = self.mybolt.digitalWrite('1', 'LOW')
print("Car's main Headlight is On")
else:
print(f"[Error] {data['value']}")
time.sleep(1)
from boltiot import Bolt
bolt = open(r'C:\Users\haneef\Documents\Cerdentials\bolt_iot.txt').read()
device_id, api_key = bolt.split()
mybolt = Bolt(api_key, device_id)
'''
pin 0 & intensity level 10
Intensity ranges from (0,255)
analogWrite('pin numer', 'intensity value')
'''
response = mybolt.analogWrite('0', '10')
print(response)
from boltiot import Bolt
api_key = "468b7098-505b-4d74-b955-faa4c2f1cb30"
device_id = "BOLT292292"
myBolt = Bolt(api_key, device_id)
# for num in range(5):
#myBolt.digitalWrite('0','LOW')
myBolt.analogWrite('0', '10')
print("Competed")
ldr_response = mybolt.analogRead('A0')
pb_response = mybolt.digitalRead('1')
ldr_data = json.loads(ldr_response)
pb_data = json.loads(pb_response)
print(ldr_data['value'])
ldr_value = int(ldr_data['value'])
print(pb_data['value'])
pb_value = int(pb_data['value'])
state = dtree.MachineLearning_model(ldr_value)
if previous_state != present_state:
try:
if pb_value == 1:
print("Door is Closed")
led_state = mybolt.analogWrite('0', '0')
response = mailer.send_email(
"Alert", "The Current door state is: CLOSE")
if present_state == 0 and pb_value == 0:
print("Door is half open")
led_state = mybolt.analogWrite('0', '75')
if present_state == 1 and pb_value == 0:
print("Door is open")
led_state = mybolt.analogWrite('0', '255')
response = mailer.send_email(
"Alert", "The Current door state is: OPEN")
previous_state = present_state
import conf
from boltiot import Bolt
import json, time
mybolt = Bolt(conf.API_KEY, conf.DEVICE_ID)
def convert(sensor_value):
led_intensity = 255 - (sensor_value * 255 / 1024)
return led_intensity
while True:
print("Reading Sensor Value")
response_ldr = mybolt.analogRead('A0')
data = json.loads(response)
print("Sensor value is: " + str(data['value']))
try:
sensor_value = int(data['value'])
print("Calculating required Light Intensity for LED")
led_value_float = convert(sensor_value)
led_value = int(led_value_float)
print(led_value)
mybolt.analogWrite('1', led_value)
except Exception as e:
print("Error occured: Below are the details")
print(e)
time.sleep(5)
#final_output = final_output[['Fstop','ShutterSpeed','Exposure Compensation','Flash']]
final_output.reset_index()
lower_quartile, top_quartile = final_output['Fstop'].quantile([.25, .50])
if (kind == 1):
top_quartile = final_output['Fstop'].quartile([.50])
recomended = final_output[output_dataset['Fstop'] >= top_quartile]
elif (kind == 2):
recomended = final_output[(output_dataset['Fstop'] >= lower_quartile)
& (output_dataset['Fstop'] <= top_quartile)]
else:
recomended = final_output[output_dataset['Fstop'] <= lower_quartile]
#print(value)
print(recomended)
mybolt.analogWrite('1', value)
index = int(input("\nWhich one did you like : "))
#app_record = pd.DataFrame([[final_output.loc[index]['Fstop'],final_output.loc[index]['ShutterSpeed'],ev,1]])
app_record = output_dataset[['Fstop', 'ShutterSpeed']]
app_record['EV'] = int(ev)
app_record['Match'] = 0
app_record.loc[index, 'Match'] = 1
with open('GuidedLightMeter.csv', 'a') as fd:
writer = csv.DictWriter(fd,
delimiter=',',
lineterminator='\n',
fieldnames=[0, 1, 2, 3])
for itr in list(app_record.index):
writer.writerow({
