2019Oct03
1

Running Test on Jupyter

for detail of my hardware please visit this blog post here.


Testing Heart tracking

this jupyter notebook is running on pc. It connect to beaglebone with usb.

Here we use rest api to communicate with application running on the beaglebone

import requests
import time

By access home directory, it act as help document and describe function of the app

resp = requests.get('http://192.168.7.2:8001/')
resp.json()
{'cmd': {'myWatch/<cmd>': {'stop': 'stop the watch',
   'start': 'start watch and save heart rate log'},
  'hrs': 'get all heart rate log',
  'myWatch': 'check watch timer',
  'hr': 'get current heart rate'},
 'App name': 'BBB Heart Track'}

example on running the command

resp = requests.get('http://192.168.7.2:8001/hrs')
print(resp.json())
resp = requests.get('http://192.168.7.2:8001/myWatch')
print(resp.json())
resp = requests.get('http://192.168.7.2:8001/hr')
print(resp.json())
[]
{'counter': 0}
{'curBPM': 61}

running the command for one minute

resp = requests.get('http://192.168.7.2:8001/myWatch/start')
print(resp.json())
for i in range(0,60):
    resp = requests.get('http://192.168.7.2:8001/myWatch')
    print(resp.json())
    resp = requests.get('http://192.168.7.2:8001/hr')
    print(resp.json())
    time.sleep(1)
resp = requests.get('http://192.168.7.2:8001/myWatch/stop')
print(resp.json())
{'message': 'myWatch start running'}
{'counter': 0}
{'curBPM': 71}
{'counter': 1}
{'curBPM': 70}
{'counter': 2}
{'curBPM': 70}
{'counter': 3}
{'curBPM': 70}
{'counter': 5}
{'curBPM': 70}
{'counter': 6}
{'curBPM': 69}
{'counter': 7}
{'curBPM': 69}
{'counter': 8}
{'curBPM': 69}
{'counter': 9}
{'curBPM': 70}
{'counter': 10}
{'curBPM': 71}
{'counter': 11}
{'curBPM': 72}
{'counter': 12}
{'curBPM': 73}
{'counter': 14}
{'curBPM': 74}
{'counter': 15}
{'curBPM': 74}
{'counter': 16}
{'curBPM': 74}
{'counter': 17}
{'curBPM': 75}
{'counter': 18}
{'curBPM': 75}
{'counter': 19}
{'curBPM': 74}
{'counter': 20}
{'curBPM': 74}
{'counter': 22}
{'curBPM': 74}
{'counter': 23}
{'curBPM': 73}
{'counter': 24}
{'curBPM': 73}
{'counter': 25}
{'curBPM': 73}
{'counter': 26}
{'curBPM': 73}
{'counter': 27}
{'curBPM': 73}
{'counter': 28}
{'curBPM': 73}
{'counter': 30}
{'curBPM': 73}
{'counter': 31}
{'curBPM': 73}
{'counter': 32}
{'curBPM': 73}
{'counter': 33}
{'curBPM': 73}
{'counter': 34}
{'curBPM': 69}
{'counter': 35}
{'curBPM': 66}
{'counter': 36}
{'curBPM': 64}
{'counter': 37}
{'curBPM': 61}
{'counter': 39}
{'curBPM': 59}
{'counter': 40}
{'curBPM': 57}
{'counter': 41}
{'curBPM': 55}
{'counter': 42}
{'curBPM': 53}
{'counter': 43}
{'curBPM': 51}
{'counter': 44}
{'curBPM': 65}
{'counter': 46}
{'curBPM': 76}
{'counter': 47}
{'curBPM': 84}
{'counter': 48}
{'curBPM': 90}
{'counter': 49}
{'curBPM': 94}
{'counter': 50}
{'curBPM': 98}
{'counter': 51}
{'curBPM': 101}
{'counter': 52}
{'curBPM': 102}
{'counter': 53}
{'curBPM': 104}
{'counter': 55}
{'curBPM': 105}
{'counter': 56}
{'curBPM': 106}
{'counter': 57}
{'curBPM': 106}
{'counter': 58}
{'curBPM': 107}
{'counter': 59}
{'curBPM': 93}
{'counter': 60}
{'curBPM': 83}
{'counter': 61}
{'curBPM': 76}
{'counter': 63}
{'curBPM': 70}
{'counter': 64}
{'curBPM': 66}
{'counter': 65}
{'curBPM': 61}
{'counter': 66}
{'curBPM': 60}
{'counter': 67}
{'curBPM': 59}
{'message': 'myWatch is stopping'}

read data from database

resp = requests.get('http://192.168.7.2:8001/hrs')
array = resp.json()
for item in array:
    print(item)
{'id': 1, 'dataset': 0, 'curTime': '2019-10-03 19:08:55.847785', 'cur_bpm': 71}
{'id': 2, 'dataset': 0, 'curTime': '2019-10-03 19:08:56.750101', 'cur_bpm': 70}
{'id': 3, 'dataset': 0, 'curTime': '2019-10-03 19:08:57.756113', 'cur_bpm': 70}
{'id': 4, 'dataset': 0, 'curTime': '2019-10-03 19:08:58.750743', 'cur_bpm': 70}
{'id': 5, 'dataset': 0, 'curTime': '2019-10-03 19:08:59.768510', 'cur_bpm': 70}
{'id': 6, 'dataset': 0, 'curTime': '2019-10-03 19:09:00.753312', 'cur_bpm': 69}
{'id': 7, 'dataset': 0, 'curTime': '2019-10-03 19:09:01.750796', 'cur_bpm': 69}
{'id': 8, 'dataset': 0, 'curTime': '2019-10-03 19:09:02.757159', 'cur_bpm': 69}
{'id': 9, 'dataset': 0, 'curTime': '2019-10-03 19:09:03.751156', 'cur_bpm': 70}
{'id': 10, 'dataset': 0, 'curTime': '2019-10-03 19:09:04.762460', 'cur_bpm': 70}
{'id': 11, 'dataset': 0, 'curTime': '2019-10-03 19:09:05.754701', 'cur_bpm': 71}
{'id': 12, 'dataset': 0, 'curTime': '2019-10-03 19:09:06.745746', 'cur_bpm': 72}
{'id': 13, 'dataset': 0, 'curTime': '2019-10-03 19:09:07.759501', 'cur_bpm': 73}
{'id': 14, 'dataset': 0, 'curTime': '2019-10-03 19:09:08.745790', 'cur_bpm': 74}
{'id': 15, 'dataset': 0, 'curTime': '2019-10-03 19:09:09.743619', 'cur_bpm': 74}
{'id': 16, 'dataset': 0, 'curTime': '2019-10-03 19:09:10.745818', 'cur_bpm': 74}
{'id': 17, 'dataset': 0, 'curTime': '2019-10-03 19:09:11.743780', 'cur_bpm': 75}
{'id': 18, 'dataset': 0, 'curTime': '2019-10-03 19:09:12.745785', 'cur_bpm': 75}
{'id': 19, 'dataset': 0, 'curTime': '2019-10-03 19:09:13.743580', 'cur_bpm': 74}
{'id': 20, 'dataset': 0, 'curTime': '2019-10-03 19:09:14.745725', 'cur_bpm': 74}
{'id': 21, 'dataset': 0, 'curTime': '2019-10-03 19:09:15.743768', 'cur_bpm': 74}
{'id': 22, 'dataset': 0, 'curTime': '2019-10-03 19:09:16.753122', 'cur_bpm': 74}
{'id': 23, 'dataset': 0, 'curTime': '2019-10-03 19:09:17.744086', 'cur_bpm': 74}
{'id': 24, 'dataset': 0, 'curTime': '2019-10-03 19:09:18.745149', 'cur_bpm': 73}
{'id': 25, 'dataset': 0, 'curTime': '2019-10-03 19:09:19.744076', 'cur_bpm': 73}
{'id': 26, 'dataset': 0, 'curTime': '2019-10-03 19:09:20.745219', 'cur_bpm': 73}
{'id': 27, 'dataset': 0, 'curTime': '2019-10-03 19:09:21.744313', 'cur_bpm': 73}
{'id': 28, 'dataset': 0, 'curTime': '2019-10-03 19:09:22.745218', 'cur_bpm': 73}
{'id': 29, 'dataset': 0, 'curTime': '2019-10-03 19:09:23.744121', 'cur_bpm': 73}
{'id': 30, 'dataset': 0, 'curTime': '2019-10-03 19:09:24.745103', 'cur_bpm': 73}
{'id': 31, 'dataset': 0, 'curTime': '2019-10-03 19:09:25.744211', 'cur_bpm': 73}
{'id': 32, 'dataset': 0, 'curTime': '2019-10-03 19:09:26.744969', 'cur_bpm': 73}
{'id': 33, 'dataset': 0, 'curTime': '2019-10-03 19:09:27.744395', 'cur_bpm': 73}
{'id': 34, 'dataset': 0, 'curTime': '2019-10-03 19:09:28.744932', 'cur_bpm': 69}
{'id': 35, 'dataset': 0, 'curTime': '2019-10-03 19:09:29.744222', 'cur_bpm': 69}
{'id': 36, 'dataset': 0, 'curTime': '2019-10-03 19:09:30.756226', 'cur_bpm': 66}
{'id': 37, 'dataset': 0, 'curTime': '2019-10-03 19:09:31.744590', 'cur_bpm': 64}
{'id': 38, 'dataset': 0, 'curTime': '2019-10-03 19:09:32.745046', 'cur_bpm': 61}
{'id': 39, 'dataset': 0, 'curTime': '2019-10-03 19:09:33.744660', 'cur_bpm': 59}
{'id': 40, 'dataset': 0, 'curTime': '2019-10-03 19:09:34.744849', 'cur_bpm': 57}
{'id': 41, 'dataset': 0, 'curTime': '2019-10-03 19:09:35.744433', 'cur_bpm': 55}
{'id': 42, 'dataset': 0, 'curTime': '2019-10-03 19:09:36.744799', 'cur_bpm': 53}
{'id': 43, 'dataset': 0, 'curTime': '2019-10-03 19:09:37.744586', 'cur_bpm': 52}
{'id': 44, 'dataset': 0, 'curTime': '2019-10-03 19:09:38.744895', 'cur_bpm': 51}
{'id': 45, 'dataset': 0, 'curTime': '2019-10-03 19:09:39.744847', 'cur_bpm': 65}
{'id': 46, 'dataset': 0, 'curTime': '2019-10-03 19:09:40.744728', 'cur_bpm': 76}
{'id': 47, 'dataset': 0, 'curTime': '2019-10-03 19:09:41.744912', 'cur_bpm': 84}
{'id': 48, 'dataset': 0, 'curTime': '2019-10-03 19:09:42.755911', 'cur_bpm': 84}
{'id': 49, 'dataset': 0, 'curTime': '2019-10-03 19:09:43.744675', 'cur_bpm': 90}
{'id': 50, 'dataset': 0, 'curTime': '2019-10-03 19:09:44.745084', 'cur_bpm': 94}
{'id': 51, 'dataset': 0, 'curTime': '2019-10-03 19:09:45.741952', 'cur_bpm': 98}
{'id': 52, 'dataset': 0, 'curTime': '2019-10-03 19:09:46.743486', 'cur_bpm': 101}
{'id': 53, 'dataset': 0, 'curTime': '2019-10-03 19:09:47.742130', 'cur_bpm': 102}
{'id': 54, 'dataset': 0, 'curTime': '2019-10-03 19:09:48.755069', 'cur_bpm': 104}
{'id': 55, 'dataset': 0, 'curTime': '2019-10-03 19:09:49.746341', 'cur_bpm': 105}
{'id': 56, 'dataset': 0, 'curTime': '2019-10-03 19:09:50.743254', 'cur_bpm': 106}
{'id': 57, 'dataset': 0, 'curTime': '2019-10-03 19:09:51.746529', 'cur_bpm': 106}
{'id': 58, 'dataset': 0, 'curTime': '2019-10-03 19:09:52.743030', 'cur_bpm': 107}
{'id': 59, 'dataset': 0, 'curTime': '2019-10-03 19:09:53.746239', 'cur_bpm': 93}
{'id': 60, 'dataset': 0, 'curTime': '2019-10-03 19:09:54.743212', 'cur_bpm': 83}
{'id': 61, 'dataset': 0, 'curTime': '2019-10-03 19:09:55.746440', 'cur_bpm': 83}
{'id': 62, 'dataset': 0, 'curTime': '2019-10-03 19:09:56.767403', 'cur_bpm': 76}
{'id': 63, 'dataset': 0, 'curTime': '2019-10-03 19:09:57.742539', 'cur_bpm': 70}
{'id': 64, 'dataset': 0, 'curTime': '2019-10-03 19:09:58.743078', 'cur_bpm': 66}
{'id': 65, 'dataset': 0, 'curTime': '2019-10-03 19:09:59.746358', 'cur_bpm': 64}
{'id': 66, 'dataset': 0, 'curTime': '2019-10-03 19:10:00.743390', 'cur_bpm': 61}
{'id': 67, 'dataset': 0, 'curTime': '2019-10-03 19:10:01.742683', 'cur_bpm': 60}
{'id': 68, 'dataset': 0, 'curTime': '2019-10-03 19:10:02.743112', 'cur_bpm': 59}
view raw first_test.md hosted with ❤ by GitHub

Deemarc Burakitbumrung

A software develper who graduated from Electronic and Communication Engineer. Have an interest in the field of programming and embedded system.

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