import json

from pprint import pprint

def seconds_to_human_friendly_time_string(seconds):

hours = int(seconds / 3600)

minutes = int((seconds % 3600) / 60)

seconds = int(seconds % 60)

# Handle zero cases

if hours == 0 and minutes == 0 and seconds == 0:

return "0 seconds"

# Handle hours

if hours > 0:

return f"{hours} hours and {minutes} minutes and {seconds} seconds"

# Handle minutes

if minutes > 0:

return f"{minutes} minutes and {seconds} seconds"

# Handle seconds

if seconds > 0:

return f"{seconds} seconds"

return "0 seconds"

with open("fitness_plan_.json", "r") as f:

data = json.load(f)

entries = data["exerciseLogEntries"]

entries = [e for e in entries if e['userId'] == '89760760' and e["exerciseName"] != "Rest"]

"""

# Create a CSV showing off exercise name, type, lateral, personal_best in the format (count * weight kgs) or (distance (kms), duration (seconds)) whichever fields are non-null in personalBest json dict, time when this personal best was achieved, previous_best in the same format, time when this previous best was achieved, and the thumbnailUrl

import csv

with open("fitness_plan_.csv", "w", newline="") as csvfile:

csv_writer = csv.writer(csvfile, delimiter="\t")

csv_writer.writerow(["ExerciseName", "ExerciseType", "Lateral", "PersonalBest", "PersonalBestTime", "PreviousBest", "ThumbnailUrl"])

for entry in entries:

exerciseName = entry["exerciseName"]

exerciseType = entry["exerciseType"]

lateral = entry["lateral"]

personalBest = entry.get("personalBest", {})

personalBestStr = ""

if len(personalBest) == 0:

personalBestStr = "No personal best"

if "duration" in personalBest:

personalBestStr = f"{seconds_to_human_friendly_time_string(personalBest['duration'])}"

if "distance" in personalBest:

personalBestStr = f"{personalBest['distance']} kms in {personalBestStr}"

elif "weight" in personalBest:

personalBestStr = f"{personalBest['count']} * {personalBest['weight']} kgs"

elif "count" in personalBest:

personalBestStr = f"{personalBest['count']} reps"

personalBestTime = ""

if "fromTime" in personalBest:

personalBestTime = personalBest["fromTime"]

previousBest = entry.get("previousBest", {})

previousBestStr = ""

if "duration" in previousBest:

previousBestStr = f"{seconds_to_human_friendly_time_string(previousBest['duration'])}"

if "distance" in previousBest:

previousBestStr = f"{previousBest['distance']} kms in {previousBestStr}"

elif "weight" in previousBest:

previousBestStr = f"{previousBest['count']} * {previousBest['weight']} kgs"

thumbnailUrl = "https://cdn-images.cure.fit/www-curefit-com/image/upload/" + entry["thumbnailUrl"]

csv_writer.writerow([exerciseName, exerciseType, lateral, personalBestStr, personalBestTime, previousBestStr, thumbnailUrl])

import json

import requests

headers = {

"accept": "application/json",

# "cookie": "<SECRET>", # get from the cult website, any curl call, get the value of header `Cookie`...

# "at": "<SECRET>", # For API call intercepted via http-toolkit, this is sent as a header in almost all API calls.. I guess one of cookie and at should be passed, I passed at here, and cookie in previous script..

"osname": "android",

"clientversion": "10.08",

"connection": "Keep-Alive",

"content-type": "application/json; charset=utf-8"

}

wodID = ""

url = f"https://www.cult.fit/api/v2/fitnessplanner/exercisesForLogging"

response = requests.post(url, headers=headers, data=json.dumps({

"exerciseIds": [1555609100, 1555609101, 1555609102, 1555609103, 1555609104, 1555609105, 1555609106, 1555609107, 1555609108, 1555609109, 1555609110, 1555609111, 1555609112, 1555609113, 1555609114, 1555609115, 1555609116, 1555609117, 1555609118, 1555609119, 1555609120, 1555609121, 1555609122, 1555609123, 1555609124, 1555609125, 1555609126, 1555609127, 1555609128, 1555609129, 1555609130, 1555609131, 1555609132, 1555609133, 1555609134, 1555609135, 1555609136, 1555609137, 1555609138, 1555609139, 1555609140, 1555609141, 1555609142, 1555609143, 1555609144, 1555609145, 1555609146, 1555609147, 1555609148, 1555609149, 1555609150, 1555609151, 1555609152, 1555609153, 1555609154, 1555609155, 1555609156, 1555609157, 1555609158, 1555609159, 1555609160, 1555609161, 1555609162, 1555609163, 1555609165, 1555609166, 1555609167, 1555609168, 1555609169, 1555609170, 1555609171, 1555609172, 1555609173, 1555609174, 1555609175, 1555609176, 1555609177, 1555609178, 1555609179, 1555609180, 1555609181, 1555609182, 1555609183, 1555609184, 1555609185, 1555609186, 1555609187, 1555609188, 1555609189, 1555609190, 1555609191, 1555609192, 1555609193, 1555609194, 1555609195, 1555609196, 1555609197, 1555609198, 1555609199, 1555609200, 1555609201, 1555609202, 1555609203, 1555609204, 1555609205, 1555609206, 1555609207, 1555609208, 1555609209, 1555609210, 1555609211, 1555609212, 1555609213, 1555609214, 1555609215, 1555609216, 1555609217, 1555609218, 1555609219, 1555609220, 1555609221, 1555609222, 1555609223, 1555609224, 1555609225, 1555609226, 1555609227, 1555609228, 1555609229, 1555609230, 1555609231, 1555609232, 1555609233, 1555609234, 1555609235, 1555609236, 1555609237, 1555609238, 1555609239, 1555609240, 1555609241, 1555609242, 1555609243, 1555609244, 1555609245, 1555609246, 1555609247, 1555609248, 1555609249, 1555609250, 1555609251, 1555609252, 1555609253, 1555609254, 1555609255, 1555609256, 1555609257, 1555609258, 1555609259, 1555609260, 1555609261, 1555609262, 1555609263, 1555609264, 1555609265, 1555609266, 1555609267, 1555609268, 1555609269, 1555609270, 1555609271, 1555609272, 1555609273, 1555609274, 1555609275, 1555609276, 1555609277, 1555609278, 1555609279, 1555609282, 1555609283, 1555609284, 1555609285, 1555609286, 1555609287, 1555609288, 1555609289, 1555609290, 1555609291, 1555609292, 1555609293, 1555609294, 1555609295, 1555609296, 1555609297, 1555609298, 1555609299]

}))

print(response.text)

data = response.json()

from pprint import pprint

pprint(data)

with open(f"fitness_plan_{wodID}.json", "w") as f:

json.dump(data, f, indent=4)

title = 'Fitness Track Part 2'

date = 2023-09-30T16:31:59+05:30

draft = false

This post is continuation of [Fitness Track Part 1](/posts/fitness-track/).

I finally extracted out the existing personal best for exercises as well, and added a new page in the appsheet to display them.

This one was slight tricky to implement because there did not seem to be an API which fetches all exercise details, so on trial and error, when I selected an exercise to log it in the app, it seemed to be calling an API `/api/v2/fitnessplanner/exercisesForLogging` with corresponding exerciseId under `exerciseIds` list parameter. I generated ~2-300 IDs nearby that ID and passed in the API.

Earlier I was trying with ~500 IDs but the API kept crashing, and even with 300 IDs, some of the intermediate IDs required removal (God knows why), and finally I got a JSON which looked like this:

<details>

<summary>JSON</summary>

{

"tenantId": 1,

"userId": "89760760",

"exerciseId": 1555609163,

"herculesExerciseId": "602621587d678600085608e2",

"executionType": "TIMED",

"meta": {

"weightUnit": "KG",

"durationUnit": "SECOND",

"distanceUnit": "KILOMETRE"

},

"personalBest": {

"id": 791910,

"createdOn": "2023-02-12T08:38:49.000+00:00",

"lastModifiedOn": "2023-02-12T08:38:49.000+00:00",

"createdBy": "system",

"version": 0,

"tenantId": 1,

"userId": "89760760",

"herculesExerciseId": "602621587d678600085608e2",

"userFitnessLevel": "INTERMEDIATE",

"duration": 5400,

"distance": 11.24,

"fromTime": "2023-02-12T08:38:49Z"

},

"previousBest": {

"duration": 1860,

"distance": 4.04

},

"thumbnailUrl": "hercules/production/assets/movements/images/CROSS_TRAINER_v1631535828209_aa25d179-c9fa-4570-acc7-3d7a489b7ee9.jpg",

"exerciseName": "Cross Trainer",

"exerciseType": "DISTANCE",

"lateral": "BILATERAL",

"templateLog": {

"sequence": null,

"unilateralDirection": null,

"weight": null,

"duration": null,

"count": null,

"distance": null,

"value1": "4.04",

"unit1": "kms",

"separator": "x",

"value2": "31",

"unit2": "mins"

},

"fpExecutionLogs": [

{

"sequence": null,

"unilateralDirection": null,

"weight": null,

"duration": 1860,

"count": null,

"distance": 4.04,

"value1": "4.04",

"unit1": "kms",

"separator": "/",

"value2": "31",

"unit2": "mins"

}

]

}

</details>

Most of the parameters are self explanatory, rest I found by analyzing some of the JSONs manually. The analysis script using which I finally created a CSV is [analysis.py](./analysis.py), and the script to extract those JSONs is [cult_data_exercises.py](./cult_data_exercises.py).

Finally, it looks in my app like this:


"cookie": "<SECRET>", # get from the cult website, any curl call, get the value of header `Cookie`...

<li>

<a href="/posts/fitness-track-part-2/">Fitness Track Part 2</a>

</li>

<section class="list-item">

<h1 class="title"><a href="/posts/fitness-track-part-2/">Fitness Track Part 2</a></h1>

<div class="tips">

<div class="date">

<time datetime="2023-09-30 16:31:59 &#43;0530 IST">2023/09/30</time>

</div>

</div>

<div class="summary">

Fitness Track Part 2 🔗This post is continuation of Fitness Track Part 1.

I finally extracted out the existing personal best for exercises as well, and added a new page in the appsheet to display them.

This one was slight tricky to implement because there did not seem to be an API which fetches all exercise details, so on trial and error, when I selected an exercise to log it in the app, it seemed to be calling an API /api/v2/fitnessplanner/exercisesForLogging with corresponding exerciseId under exerciseIds list parameter.

</div>

</section>

<li>

<a href="/posts/fitness-track-part-2/">Fitness Track Part 2</a>

</li>

<lastBuildDate>Sat, 30 Sep 2023 16:31:59 +0530</lastBuildDate><atom:link href="https://singhcoder.github.io/index.xml" rel="self" type="application/rss+xml" />

<item>

<title>Fitness Track Part 2</title>

<link>https://singhcoder.github.io/posts/fitness-track-part-2/</link>

<pubDate>Sat, 30 Sep 2023 16:31:59 +0530</pubDate>

<guid>https://singhcoder.github.io/posts/fitness-track-part-2/</guid>

<description>&lt;h2 id=&#34;fitness-track-part-2&#34;&gt;Fitness Track Part 2 &lt;a href=&#34;#fitness-track-part-2&#34; class=&#34;anchor&#34;&gt;🔗&lt;/a&gt;&lt;/h2&gt;&lt;p&gt;This post is continuation of &lt;a href=&#34;https://singhcoder.github.io/posts/fitness-track/&#34;&gt;Fitness Track Part 1&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;I finally extracted out the existing personal best for exercises as well, and added a new page in the appsheet to display them.&lt;/p&gt;

&lt;p&gt;This one was slight tricky to implement because there did not seem to be an API which fetches all exercise details, so on trial and error, when I selected an exercise to log it in the app, it seemed to be calling an API &lt;code&gt;/api/v2/fitnessplanner/exercisesForLogging&lt;/code&gt; with corresponding exerciseId under &lt;code&gt;exerciseIds&lt;/code&gt; list parameter. I generated ~2-300 IDs nearby that ID and passed in the API.&lt;/p&gt;

&lt;p&gt;Earlier I was trying with ~500 IDs but the API kept crashing, and even with 300 IDs, some of the intermediate IDs required removal (God knows why), and finally I got a JSON which looked like this:&lt;/p&gt;

&lt;!-- raw HTML omitted --&gt;

&lt;p&gt;Most of the parameters are self explanatory, rest I found by analyzing some of the JSONs manually. The analysis script using which I finally created a CSV is &lt;a href=&#34;./analysis.py&#34;&gt;analysis.py&lt;/a&gt;, and the script to extract those JSONs is &lt;a href=&#34;./cult_data_exercises.py&#34;&gt;cult_data_exercises.py&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;Finally, it looks in my app like this:&lt;/p&gt;

&lt;p&gt;&lt;img src=&#34;images/image.png&#34; alt=&#34;personal bests&#34;&gt;&lt;/p&gt;

</description>

</item>