Changes to use with NordicTrack bike?

[wingnut144]

What changes to the code would be necessary to use this with a NordicTrack stationary bike? I like the idea of using it to sync my rides with iFit :)

[omriasta]

I really don't know since I don't have a bike to see the structure of the data for a "bike workout".
If you know a bit of python you could login using the get ifit account python file and then look at the data in the HISTORY_JSON object.
Once you know what the data looks like, you will have to adapt the ifitsync.py to adapt it to Google Fit...most of the GPS stuff and heart rate should be good to go but you may need to adjust the activity type and I guess remove the "steps"

[omriasta]

Happy to help if you have any questions!

[omriasta]

Any luck with this? If you know a bit of python and can get me a couple of bike workouts I can probably take a crack at this for you.

[wingnut144]

I haven't had a chance. I unfortunately don't know Python at all so that will be a issue. I have workouts, but how would I share the data with you?

[omriasta]

Well, if you can follow the instructions for the setup and get the virtual environment up, I can send you a modified get_ifitaccount.py file which will save the data it's getting from ifit. I could probably look at those and try to get them into google fit.
The other option is I could create a burner email address and add you as a family member on my account, then you could just complete a couple of workouts on the bike while signed into this account. I can then jump in to this account and retrieve the data and work on it.
That being said, if you can't get the virtual environment etc all setup, you probably won't be able to use the script anyway....let me know...

[wingnut144]

Ok, I'll take a look at getting something set up for the virtual stuff

[omriasta]

OK, I have the modified file which will spit out 2 files (history.json and stats.json). This will only send data from your last workout, do not include the ifit-credentials.json (this has your access token and should be kept private).
Just paste the below code in a new file called export_ifit.py and run it in the virtual environment, when done you will have to send me the 2 files it created:

"""Get the token from iFit and return user workouts"""
import requests
import getpass
import json
import os.path
import time
from requests.adapters import HTTPAdapter
from urllib3.util import Retry
from lxml import html
import re


retry_strategy = Retry(
    total=3,
    status_forcelist=[429, 500, 502, 503, 504],
    allowed_methods=["HEAD", "GET", "OPTIONS"]
)
adapter = HTTPAdapter(max_retries=retry_strategy)
http = requests.Session()
http.mount("https://", adapter)
http.mount("http://", adapter)

if os.path.exists("ifit-credentials.json"):
    with open("ifit-credentials.json") as ifit_credentials_json:
        ifit_credentials = json.load(ifit_credentials_json)
    if ifit_credentials["timestamp"] + ifit_credentials["expires_in"] > time.time():
        ACCESS_TOKEN = ifit_credentials["access_token"]
        CLIENT_ID = ifit_credentials["clientid"]
        CLIENT_SECRET = ifit_credentials["clientsecret"]
    else:
        TOKEN_URL = "https://api.ifit.com/oauth/token"
        TOKEN_HEADERS = {
            "Host": "api.ifit.com",
            "Connection": "keep-alive",
            "Origin": "https://onboarding-webview.ifit.com",
            "User-Agent": "Mozilla/5.0 (Linux; Android 6.0; Google Build/MRA58K; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/74.0.3729.186 Safari/537.36",
            "content-type": "application/json",
            "Accept": "*/*",
            "Referer": "https://onboarding-webview.ifit.com/0.27.0/index.html?page=login-email",
            "Accept-Encoding": "gzip, deflate",
            "Accept-Language": "en-US,en;q=0.9",
            "X-Requested-With": "com.ifit.wolf",
        }

        PAYLOAD = {
            "grant_type": "refresh_token",
            "refresh_token": ifit_credentials["refresh_token"],
            "client_id": ifit_credentials["clientid"],
            "client_secret": ifit_credentials["clientsecret"],
        }
        RESPONSE = requests.post(TOKEN_URL, headers=TOKEN_HEADERS, json=PAYLOAD)
        RESPONSE_JSON = RESPONSE.json()
        RESPONSE_JSON["timestamp"] = time.time()
        RESPONSE_JSON["clientid"] = ifit_credentials["clientid"]
        RESPONSE_JSON["clientsecret"] = ifit_credentials["clientsecret"]
        with open("ifit-credentials.json", "w") as outfile:
            json.dump(RESPONSE_JSON, outfile)
        ACCESS_TOKEN = RESPONSE_JSON["access_token"]
else:
    TOKEN_URL = "https://api.ifit.com/oauth/token"
    TOKEN_HEADERS = {
        "Host": "api.ifit.com",
        "Connection": "keep-alive",
        "Origin": "https://onboarding-webview.ifit.com",
        "User-Agent": "Mozilla/5.0 (Linux; Android 6.0; Google Build/MRA58K; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/74.0.3729.186 Safari/537.36",
        "content-type": "application/json",
        "Accept": "*/*",
        "Referer": "https://onboarding-webview.ifit.com/0.27.0/index.html?page=login-email",
        "Accept-Encoding": "gzip, deflate",
        "Accept-Language": "en-US,en;q=0.9",
        "X-Requested-With": "com.ifit.wolf",
    }
    print("iFit Username(email):")
    IFIT_USERNAME = input()
    IFIT_PASSWORD = getpass.getpass("Password:")

    clientid_url = "https://www.ifit.com/web-api/login"
    clientid_payload = {"email": IFIT_USERNAME, "password": IFIT_PASSWORD, "rememberMe": "false"}
    clientid_HEADERS = {
                "Host": "www.ifit.com",
                "Connection": "keep-alive",
                "Origin": "https://www.ifit.com",
                "User-Agent": "Mozilla/5.0 (Linux; Android 6.0; Google Build/MRA58K; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/74.0.3729.186 Safari/537.36",
                "content-type": "application/json",
                "Accept": "*/*",
                "Referer": "https://www.ifit.com/login?next=%2Fsettings%2Fapps",
                "Accept-Encoding": "gzip, deflate, br",
                "Accept-Language": "en-US,en;q=0.9",
    }


    with requests.Session() as session:
        post = session.post(clientid_url, data=clientid_payload)
        r = session.get("https://www.ifit.com/settings/apps")
        tree = html.fromstring(r.content)
        scripts = tree.xpath('.//script[contains(text(), "initialState")]')
        regex_clientid = r"'clientId':'(.*?)'"
        clientid_list = re.findall(regex_clientid, scripts[0].text_content())
        regex_clientsecret = r"'clientSecret':'(.*?)'"
        clientsecret_list = re.findall(regex_clientsecret, scripts[0].text_content())
        CLIENT_ID = clientid_list[0]
        CLIENT_SECRET = clientsecret_list[0]

    PAYLOAD = {
        "grant_type": "password",
        "username": IFIT_USERNAME,
        "password": IFIT_PASSWORD,
        "client_id": CLIENT_ID,
        "client_secret": CLIENT_SECRET,
    }
    RESPONSE = requests.post(TOKEN_URL, headers=TOKEN_HEADERS, json=PAYLOAD)
    RESPONSE_JSON = RESPONSE.json()
    RESPONSE_JSON["timestamp"] = time.time()
    RESPONSE_JSON["clientid"] = CLIENT_ID
    RESPONSE_JSON["clientsecret"] = CLIENT_SECRET
    with open("ifit-credentials.json", "w") as outfile:
        json.dump(RESPONSE_JSON, outfile)
    ACCESS_TOKEN = RESPONSE_JSON["access_token"]

IFIT_HIST_HEADERS = {"content-type": "application/json", "Accept": "*/*"}

IFIT_HIST_HEADERS["authorization"] = "Bearer " + ACCESS_TOKEN

IFIT_USER_INFO = http.get("https://api.ifit.com/v1/me", headers=IFIT_HIST_HEADERS)
IFIT_USER_DICT = IFIT_USER_INFO.json()
IFIT_USER_ID = IFIT_USER_DICT["id"]
'''Uncomment the first URL and comment out the second if you need to bulk upload all history'''
#IFIT_HIST_URL = "https://api.ifit.com/v1/activity_logs"
IFIT_HIST_URL = "https://api.ifit.com/v1/activity_logs/" + "?platform=android&after=&softwareNumber=424992&perPage=5"

IFIT_HIST = http.get(IFIT_HIST_URL, headers=IFIT_HIST_HEADERS)
HISTORY_JSON = IFIT_HIST.json()
class HISTORY:
    def __init__(self, JSON):
        self.id = JSON["id"]
        self.workout_id = JSON["workout_id"]
        self.duration = JSON["duration"]
        self.start_time = JSON["start"]
        self.end_time = JSON["end"]
        self.total_steps = JSON["summary"]["total_steps"]
        self.total_meters = JSON["summary"]["total_meters"]
        self.total_calories = JSON["summary"]["total_calories"]
        self.workout_json_url = "https://api.ifit.com/v1/workouts/" + self.workout_id 
        self.workout_details_json = http.get(self.workout_json_url, headers=IFIT_HIST_HEADERS).json()
        self.title = self.workout_details_json["title"]
        self.stats_url = "https://api.ifit.com/v1/activity_logs/" + self.id
        self.stats = http.get(self.stats_url, headers=IFIT_HIST_HEADERS).json()
        self.start = self.stats["start"] * 1000000
        self.end = self.stats["end"] * 1000000
        self.lists = self.stats["stats"]
        self.type = JSON["type"]
        self.origin = JSON["origin"]
y = HISTORY(HISTORY_JSON[0])
with open('history.json', 'w') as outfile:
	json.dump(HISTORY_JSON[0], outfile)
with open('stats.json', 'w') as outfile:
	json.dump(y.stats, outfile)

[wingnut144]

I appreciate the help, but I'm not familiar with Google enough to set up space for Python. I've been looking for some online videos but it hasn't helped. I don't want to waste your time, so I'll let this go for now :(

[thehoff]

Hi @omriasta. Appreciate its been w while since your post.

I tested this against my cycle and get an output as below... seems to work.

I will have a more detailed play with it over the coming days but the sample script above works.

{
"id": "64043b0___________",
"duration": 194000,
"type": "cycle",
"user_id": "63d0f3d8f0e___________",
"start": 1677998661316,
"end": 1677998855316,
"workout_id": "5feba6941___________",
"origin": "bike",
"summary": {
"total_calories": 7.1040000000000001,
"total_meters": 206,
"total_elevation_gain": 0,
"average_bpm": 0,
"average_resistance": 8.7216489999999993,
"average_respiration": 0,
"max_bpm": 0,
"average_watts": 4.1907215000000004,
"max_watts": 19,
"normalized_power": 7.4723462999999999,
"total_steps": 80,
"total_reps": 0,
"total_movements": 0,
"average_spm": 0,
"max_spm": 0,
"average_five_hundred_split": 0,
"max_five_hundred_split": 0,
"min_five_hundred_split": 0,
"splits": {
"km": [],
"mile": []
}
},
"origin_id": "e33f2571-bf10-4a5c-b881-___________",
"workout_context": "ondemand",
"software_number": 432035,
"machine_id": null,
"redundant": false
}

[omriasta]

Looks good but will also need the stats.json to get an idea of how that looks. Let me know if you plan to fork this and create a new script or we can incorporate that into mine by writing a different flow when type = cycle

[thehoff]

happy to work with you.

{"id": "64043b09bf4848126c24713b", "duration": 194000, "type": "cycle", "user_id": "63d0f3d8f0e1b8002fef12ae", "s
tart": 1677998661316, "end": 1677998855316, "workout_id": "5feba6941d50a40008c089d4", "origin": "bike", "stats":
{"mps": [{"value": 0, "offset": 0}, {"value": 1.103, "offset": 6000}, {"value": 1.394, "offset": 7000}, {"value":
1.617, "offset": 8000}, {"value": 1.764, "offset": 9000}, {"value": 1.839, "offset": 10000}, {"value": 1.911, "o
ffset": 11000}, {"value": 1.986, "offset": 13000}, {"value": 1.692, "offset": 15000}, {"value": 1.542, "offset":
17000}, {"value": 1.469, "offset": 19000}, {"value": 0, "offset": 22000}, {"value": 1.225, "offset": 64000}, {"va
lue": 1.531, "offset": 65000}, {"value": 1.833, "offset": 66000}, {"value": 2.142, "offset": 67000}, {"value": 2.
297, "offset": 68000}, {"value": 2.45, "offset": 69000}, {"value": 2.528, "offset": 70000}, {"value": 2.45, "offs
et": 73000}, {"value": 2.297, "offset": 75000}, {"value": 2.142, "offset": 77000}, {"value": 1.989, "offset": 780
00}, {"value": 1.833, "offset": 80000}, {"value": 1.683, "offset": 81000}, {"value": 1.531, "offset": 84000}, {"v
alue": 1.297, "offset": 87000}, {"value": 1.531, "offset": 88000}, {"value": 1.683, "offset": 89000}, {"value": 1
.606, "offset": 90000}, {"value": 1.453, "offset": 92000}, {"value": 1.375, "offset": 94000}, {"value": 1.606, "o
ffset": 95000}, {"value": 1.833, "offset": 96000}, {"value": 2.064, "offset": 97000}, {"value": 2.297, "offset":
98000}, {"value": 2.756, "offset": 99000}, {"value": 3.136, "offset": 100000}, {"value": 3.292, "offset": 101000}
, {"value": 3.444, "offset": 102000}, {"value": 3.522, "offset": 103000}, {"value": 3.675, "offset": 104000}, {"v
alue": 3.6, "offset": 107000}, {"value": 3.444, "offset": 108000}, {"value": 3.367, "offset": 109000}, {"value":
3.292, "offset": 110000}, {"value": 3.367, "offset": 113000}, {"value": 3.292, "offset": 115000}, {"value": 3.522
, "offset": 116000}, {"value": 3.753, "offset": 117000}, {"value": 3.675, "offset": 118000}, {"value": 3.522, "of
fset": 119000}, {"value": 3.444, "offset": 120000}, {"value": 3.292, "offset": 121000}, {"value": 3.064, "offset"
: 122000}, {"value": 2.908, "offset": 123000}, {"value": 2.678, "offset": 124000}, {"value": 2.45, "offset": 1250
00}, {"value": 2.297, "offset": 127000}, {"value": 1.989, "offset": 128000}, {"value": 0, "offset": 130000}, {"va
lue": 1.531, "offset": 151000}, {"value": 1.833, "offset": 152000}, {"value": 2.142, "offset": 153000}, {"value":
2.528, "offset": 154000}, {"value": 2.756, "offset": 155000}, {"value": 2.986, "offset": 156000}, {"value": 3.06
4, "offset": 158000}, {"value": 3.292, "offset": 159000}, {"value": 3.831, "offset": 160000}, {"value": 3.981, "o
ffset": 161000}, {"value": 3.753, "offset": 162000}, {"value": 3.6, "offset": 163000}, {"value": 3.367, "offset":
164000}, {"value": 2.986, "offset": 165000}, {"value": 2.756, "offset": 166000}, {"value": 2.6, "offset": 168000
}, {"value": 2.297, "offset": 169000}, {"value": 2.064, "offset": 171000}, {"value": 0, "offset": 172000}, {"valu
e": 0, "offset": 194000}], "meters": [{"value": 0, "offset": 0}, {"value": 2, "offset": 7000}, {"value": 3, "offs
et": 8000}, {"value": 4, "offset": 9000}, {"value": 5, "offset": 10000}, {"value": 6, "offset": 11000}, {"value":
8, "offset": 12000}, {"value": 9, "offset": 13000}, {"value": 11, "offset": 14000}, {"value": 12, "offset": 1500
0}, {"value": 14, "offset": 16000}, {"value": 15, "offset": 17000}, {"value": 17, "offset": 18000}, {"value": 18,
"offset": 19000}, {"value": 19, "offset": 20000}, {"value": 20, "offset": 21000}, {"value": 22, "offset": 22000}
, {"value": 23, "offset": 65000}, {"value": 24, "offset": 66000}, {"value": 26, "offset": 67000}, {"value": 28, "
offset": 68000}, {"value": 30, "offset": 69000}, {"value": 32, "offset": 70000}, {"value": 35, "offset": 71000},
{"value": 37, "offset": 72000}, {"value": 39, "offset": 73000}, {"value": 42, "offset": 74000}, {"value": 43, "of
fset": 75000}, {"value": 45, "offset": 76000}, {"value": 47, "offset": 77000}, {"value": 49, "offset": 78000}, {"
value": 50, "offset": 79000}, {"value": 52, "offset": 80000}, {"value": 53, "offset": 81000}, {"value": 54, "offs
et": 82000}, {"value": 56, "offset": 83000}, {"value": 57, "offset": 84000}, {"value": 58, "offset": 85000}, {"va
lue": 60, "offset": 86000}, {"value": 61, "offset": 87000}, {"value": 62, "offset": 88000}, {"value": 63, "offset
": 89000}, {"value": 64, "offset": 90000}, {"value": 66, "offset": 91000}, {"value": 67, "offset": 92000}, {"valu
e": 69, "offset": 93000}, {"value": 71, "offset": 95000}, {"value": 73, "offset": 97000}, {"value": 75, "offset":
98000}, {"value": 77, "offset": 99000}, {"value": 80, "offset": 100000}, {"value": 82, "offset": 101000}, {"valu
e": 84, "offset": 102000}, {"value": 87, "offset": 103000}, {"value": 89, "offset": 104000}, {"value": 93, "offse
t": 105000}, {"value": 97, "offset": 106000}, {"value": 100, "offset": 107000}, {"value": 102, "offset": 108000},
{"value": 105, "offset": 109000}, {"value": 109, "offset": 110000}, {"value": 112, "offset": 111000}, {"value":
115, "offset": 112000}, {"value": 118, "offset": 113000}, {"value": 121, "offset": 114000}, {"value": 124, "offse
t": 115000}, {"value": 126, "offset": 116000}, {"value": 128, "offset": 117000}, {"value": 132, "offset": 118000}
, {"value": 134, "offset": 119000}, {"value": 137, "offset": 120000}, {"value": 140, "offset": 121000}, {"value":
143, "offset": 122000}, {"value": 145, "offset": 123000}, {"value": 147, "offset": 124000}, {"value": 150, "offs
et": 125000}, {"value": 152, "offset": 126000}, {"value": 154, "offset": 127000}, {"value": 156, "offset": 128000
}, {"value": 158, "offset": 129000}, {"value": 159, "offset": 130000}, {"value": 160, "offset": 152000}, {"value"
: 162, "offset": 153000}, {"value": 164, "offset": 154000}, {"value": 166, "offset": 155000}, {"value": 168, "off
set": 156000}, {"value": 171, "offset": 157000}, {"value": 173, "offset": 158000}, {"value": 176, "offset": 15900
0}, {"value": 178, "offset": 160000}, {"value": 180, "offset": 161000}, {"value": 183, "offset": 162000}, {"value
": 186, "offset": 163000}, {"value": 189, "offset": 164000}, {"value": 191, "offset": 165000}, {"value": 193, "of
fset": 166000}, {"value": 196, "offset": 167000}, {"value": 198, "offset": 168000}, {"value": 200, "offset": 1690
00}, {"value": 202, "offset": 170000}, {"value": 204, "offset": 171000}, {"value": 206, "offset": 194000}], "watt
s": [{"value": 0, "offset": 0}, {"value": 2, "offset": 5000}, {"value": 3, "offset": 7000}, {"value": 4, "offset"
: 9000}, {"value": 3, "offset": 14000}, {"value": 2, "offset": 18000}, {"value": 0, "offset": 21000}, {"value": 3
, "offset": 64000}, {"value": 5, "offset": 66000}, {"value": 6, "offset": 67000}, {"value": 7, "offset": 68000},
{"value": 8, "offset": 70000}, {"value": 7, "offset": 73000}, {"value": 6, "offset": 74000}, {"value": 5, "offset
": 76000}, {"value": 4, "offset": 79000}, {"value": 3, "offset": 80000}, {"value": 4, "offset": 96000}, {"value":
6, "offset": 97000}, {"value": 8, "offset": 98000}, {"value": 11, "offset": 99000}, {"value": 12, "offset": 1000
00}, {"value": 14, "offset": 101000}, {"value": 15, "offset": 102000}, {"value": 16, "offset": 103000}, {"value":
17, "offset": 104000}, {"value": 16, "offset": 106000}, {"value": 15, "offset": 107000}, {"value": 14, "offset":
108000}, {"value": 13, "offset": 110000}, {"value": 14, "offset": 112000}, {"value": 14, "offset": 115000}, {"va
lue": 17, "offset": 116000}, {"value": 15, "offset": 119000}, {"value": 13, "offset": 120000}, {"value": 11, "off
set": 121000}, {"value": 10, "offset": 122000}, {"value": 9, "offset": 123000}, {"value": 7, "offset": 125000}, {
"value": 6, "offset": 126000}, {"value": 5, "offset": 128000}, {"value": 0, "offset": 130000}, {"value": 3, "offs
et": 151000}, {"value": 5, "offset": 152000}, {"value": 7, "offset": 153000}, {"value": 8, "offset": 154000}, {"v
alue": 10, "offset": 155000}, {"value": 11, "offset": 156000}, {"value": 12, "offset": 158000}, {"value": 16, "of
fset": 159000}, {"value": 19, "offset": 160000}, {"value": 18, "offset": 161000}, {"value": 17, "offset": 162000}
, {"value": 14, "offset": 163000}, {"value": 13, "offset": 164000}, {"value": 11, "offset": 165000}, {"value": 9,
"offset": 166000}, {"value": 8, "offset": 167000}, {"value": 6, "offset": 169000}, {"value": 5, "offset": 170000
}, {"value": 0, "offset": 172000}, {"value": 0, "offset": 194000}], "incline": [], "bpm": [{"value": 0, "offset":
0}, {"value": 0, "offset": 194000}], "calories": [{"value": 0, "offset": 0}, {"value": 0.063, "offset": 6000}, {
"value": 0.126, "offset": 7000}, {"value": 0.19, "offset": 8000}, {"value": 0.254, "offset": 9000}, {"value": 0.3
19, "offset": 10000}, {"value": 0.384, "offset": 11000}, {"value": 0.449, "offset": 12000}, {"value": 0.513, "off
set": 13000}, {"value": 0.578, "offset": 14000}, {"value": 0.642, "offset": 15000}, {"value": 0.706, "offset": 16
000}, {"value": 0.77, "offset": 17000}, {"value": 0.834, "offset": 18000}, {"value": 0.897, "offset": 19000}, {"v
alue": 0.96, "offset": 20000}, {"value": 1.023, "offset": 22000}, {"value": 1.087, "offset": 64000}, {"value": 1.
151, "offset": 65000}, {"value": 1.216, "offset": 66000}, {"value": 1.282, "offset": 67000}, {"value": 1.348, "of
fset": 68000}, {"value": 1.416, "offset": 69000}, {"value": 1.484, "offset": 70000}, {"value": 1.553, "offset": 7
1000}, {"value": 1.621, "offset": 72000}, {"value": 1.689, "offset": 73000}, {"value": 1.756, "offset": 74000}, {
"value": 1.823, "offset": 75000}, {"value": 1.89, "offset": 76000}, {"value": 1.955, "offset": 77000}, {"value":
2.021, "offset": 78000}, {"value": 2.087, "offset": 79000}, {"value": 2.152, "offset": 80000}, {"value": 2.216, "
offset": 81000}, {"value": 2.28, "offset": 82000}, {"value": 2.344, "offset": 83000}, {"value": 2.408, "offset":
84000}, {"value": 2.471, "offset": 85000}, {"value": 2.535, "offset": 86000}, {"value": 2.599, "offset": 87000},
{"value": 2.663, "offset": 88000}, {"value": 2.727, "offset": 89000}, {"value": 2.791, "offset": 90000}, {"value"
: 2.855, "offset": 91000}, {"value": 2.919, "offset": 92000}, {"value": 2.983, "offset": 93000}, {"value": 3.047,
"offset": 94000}, {"value": 3.111, "offset": 95000}, {"value": 3.176, "offset": 96000}, {"value": 3.242, "offset
": 97000}, {"value": 3.308, "offset": 98000}, {"value": 3.378, "offset": 99000}, {"value": 3.45, "offset": 100000
}, {"value": 3.523, "offset": 101000}, {"value": 3.597, "offset": 102000}, {"value": 3.672, "offset": 103000}, {"
value": 3.749, "offset": 104000}, {"value": 3.825, "offset": 105000}, {"value": 3.902, "offset": 106000}, {"value
": 3.976, "offset": 107000}, {"value": 4.051, "offset": 108000}, {"value": 4.125, "offset": 109000}, {"value": 4.
198, "offset": 110000}, {"value": 4.271, "offset": 111000}, {"value": 4.344, "offset": 112000}, {"value": 4.418,
"offset": 113000}, {"value": 4.492, "offset": 114000}, {"value": 4.565, "offset": 115000}, {"value": 4.639, "offs
et": 116000}, {"value": 4.716, "offset": 117000}, {"value": 4.792, "offset": 118000}, {"value": 4.867, "offset":
119000}, {"value": 4.942, "offset": 120000}, {"value": 5.015, "offset": 121000}, {"value": 5.086, "offset": 12200
0}, {"value": 5.156, "offset": 123000}, {"value": 5.226, "offset": 124000}, {"value": 5.293, "offset": 125000}, {
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[thehoff]

I dont think that workflow was "much" but I will get some more out if needed. Happy if you want to talk off github. My goal is to get this working if we can in Google.

[thehoff]

Here is another stats/history - https://gist.github.com/thehoff/7f8a340c7ec808cc18a86451a7541dc0

[omriasta]

Sorry for the delay....you were right, it has been a while and actually ifit changed their api so we would need to pull a couple of more files for me to test but even then it would be a bit odd as I'm not sure how google stores cycle data really....and the documentation on their site is pretty sparse....and I really haven't ever recorded a cycle session in google fit to see what it captures. For now, I added the test to see if the workout type is cycle. See if the latest commit works for you and adds it to google fit (once you run the script, if you get no errors, it can take about to an hour sometimes before it shows up in google fit).
The stats appear to be very similar to the what the treadmill provides but it seems odd that the bike would record step count (which it does in your stat file). Let me know how the last commit works for you.

[thehoff]

Sounds good. I have another system I might feed the raw data into as well...

It's a shame how rubbish ifit is considering the cost of the equipment...