This is python script code for Winter Camp mini case challange. ( If you are familiar with question you can skip the Question part and directly go to the Solution part.
A Sens’it V2 device has been installed in the Sigfox Paris office, outside area. Your goal is to find the lowest temperature reported by the Sens’it V2 between January 18th, 2019, 18:00 (UTC) and January 25th, 2019, 18:00 (UTC).
Your answer will have to be sent by email to hey@thehackinghouse.com with the following information:
• Lowest Temperature measured in Celsius
• Date and time (UTC) when this temperature was measured
If you have multiple measurements with the exact same lowest temperature, you can return the value with its most recent timestamp.
To access the Sens’it data, a specific Sigfox API account has been created for you. API documentation and credentials are provided below. Those credentials will allow you to retrieve the devices and associated messages, only 1 device is registered in this group.
You will also find a link to get the payload description of the Sens’it; the data you will retrieve from the API is the raw hexadecimal payload, you will need to parse this information to decode the real temperature value.
API endpoint: https://api.sigfox.com/v2/
(Sigfox API Documentation)[https://support.sigfox.com/apidocs]
(Link to Sens’it V2 payload description)[https://storage.sbg1.cloud.ovh.net/v1/AUTH_669d7dfced0b44518cb186841d7cbd75/dev_medias/build/4059ad1jm22762b/sensit-2-payload.pdf]
The answer that I retrieved at the time of running code
The lowest temperature in Celsius is: 5
In this datetime: 2019-02-11 00:29:53
Raw data:
{'temperature': 5, 'time': 1549844993000}
I tried the message API of Sigfox in the mentioned date time and surprisingly I've got an empty data set it seems the data cleared after sometime so I run my script on all the dataset that I could get.
the API that failed me:
https://api.sigfox.com/v2/device-types/5c41a3e90499f52ece9a8ec4/messages?since=1547834400000&before=1548439200000
This is an script that get all data and choose only data object that are in temperature mode then calculate most significant bits and least significant bits of temperature from payload to reach a 10bit number
then put the retrieved 10bit number in following formula to calculate the temperature in Celsius
Temperature = ( ( temperature(10bits) – 200 ) / 8 ) °C
At least sort all the data by temperature and time to get the most recent lowest temperature data record
import requests
import json
import time
def send_request(url, payload, headers, querystring, data=[]):
response = requests.request("GET", url, data=payload, headers=headers, params=querystring)
# print(response.text)
json_data = json.loads(response.text)
for d in json_data['data']:
data.append({
'time': d['time'],
'data': d['data']
})
if json_data['paging'] and json_data['paging']['next']:
url = json_data['paging']['next']
return send_request(url, payload, headers, querystring, data)
else:
return data
def parse_hex_payload(payload):
get_bin = lambda x, n: format(x, 'b').zfill(n)
data_bytes = []
temperature_msb = 0
temperature_lsb = 0
for i in range(0,8,2):
data_bytes.append(int(payload[i:i+2], 16))
if data_bytes[0] & 0b00000001:
temperature_msb = (data_bytes[1] & 0b11110000) << 2
temperature_lsb = data_bytes[2] & 0b00111111
temperature = temperature_msb + temperature_lsb
temperature_celcius = ( temperature - 200 ) / 8
return temperature_celcius
else:
return -274
def parse_data(data):
new_data = []
for d in data:
temperature_celcius = parse_hex_payload(d['data'])
if temperature_celcius > -274 :
new_data.append({
'time': int(d['time']),
'temperature': temperature_celcius
})
return new_data
if __name__ == '__main__':
url = "https://api.sigfox.com/v2/device-types/5c41a3e90499f52ece9a8ec4/messages"
querystring = {'':''}
payload = ""
headers = {
'authorization': 'Basic NWM0MWE0NWEyNTY0MzIyNWI3ZTM1ZWYyOjY2MmM5NzUwMmMzOGVlZmZjNTAxNDkzYzBjN2VmZjM4'
}
data = send_request(url, payload, headers, querystring)
new_data = parsed_data = parse_data(data)
sorted_by_temperature = sorted(new_data, key=lambda data: (data['temperature'], data['time']))
date_time_str = time.strftime('%Y-%m-%d %H:%M:%S', time.gmtime(sorted_by_temperature[0]['time']/1000))
print 'The most recent lowest temperature in Celsius is: {}'.format(sorted_by_temperature[0]['temperature'])
print 'In this datetime: {}'.format(date_time_str)
print 'Raw data: '
print sorted_by_temperature[0]
It seems that data set changed by the time and if you run this code you may get a different result so I put the data set that I got in the time that I ran the code.
{
"data": [
{
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"id": "86B8A4"
},
"time": 1549899766000,
"data": "01482675",
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