This is a small project that fetches fitness peak data from Zwift and reports on it.
In essence, it does the following:
- When run, loads all fitness peak data from the Zwift activity directory on your local machine.
- The fitness peak data is mined for both power and HR figures, as well as a few other bits and pieces (activity start and end times, distance, activity name).
- The peak data is stored in an SQL database. This storage has one record per activity, and for that activity, it has the start time, end time, and peak power and HR for the following time periods:
- 5 seconds
- 30 seconds
- 60 seconds
- 5 minutes
- 10 minutes
- 20 minutes
- 30 minutes
- 60 minutes
- 90 minutes
- 120 minutes
- Having loaded the peak values, a report can be produced to show what those peak power and HR figures are.
Note that the activity name and total elevation gain values are not available in the .fit files. Instead, they're loaded from Zwift via its API. Further down this readme there's details on how to specify your Zwift credentials so the activity names can be loaded.
All of the loaded data is stored in an SQLite database in your home directory (~/.fit-peaks.dat).
Here's an example of the power report:
ID Date Activity Distance Elevation Start Duration Speed 5s 30s 60s 5m 10m 20m 30m 60m 90m 120m Max Avg Norm FTP V/I I/F TSS AeroDe AeroEf CTL ATL TSB
───── ──────────────── ──────────────────────────────────────── ──────── ───────── ───── ──────── ────────── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ────── ────── ─── ─── ───
1602 Mon 27 Jun, 2022 Mountain Route in Watopia 30.13km 682m 19:13 0:58:20 30.99km/hr 597 525 435 360 350 341 337 634 296 323 325 8% 0.99 96 -3.0% 2.18% 56 47 9
1603 Tue 28 Jun, 2022 The Fan Flats in Richmond 10.06km 20m 17:07 0:17:19 34.86km/hr 561 539 424 310 274 624 234 269 325 13% 0.83 19 -41.3% 2.36% 56 60 -4
1604 Three Little Sisters in Watopia 40.08km 449m 17:29 1:09:12 34.75km/hr 483 424 382 324 296 277 277 262 535 256 268 325 4% 0.82 78 9.6% 2.00%
1605 Thu 30 Jun, 2022 Three Sisters in Watopia 50.01km 943m 17:16 1:29:26 33.55km/hr 762 602 447 389 379 371 367 343 806 311 338 325 8% 1.04 161 4.9% 2.36% 56 58 -2
1606 Fri 01 Jul, 2022 Volcano Circuit in Watopia 5.47km 27m 15:48 0:09:56 33.04km/hr 437 325 265 235 461 202 217 352 0.62 6 58 67 -9
1607 Group Ride: SZR After Sun (C) on Spri... 44.57km 235m 16:00 1:09:03 38.73km/hr 432 381 375 269 231 220 216 214 444 211 223 352 5% 0.63 46 8.7% 1.91%
1608 Sun 03 Jul, 2022 The Fan Flats in Richmond 8.06km 20m 17:24 0:15:23 31.44km/hr 272 257 238 211 199 289 186 193 352 0.55 7 59 67 -8
1609 Pace Partner Ride: Figure 8 in Watopi... 32.04km 294m 17:41 0:52:57 36.31km/hr 359 326 300 242 235 223 222 399 212 222 352 5% 0.63 35 -4.1% 1.90%
───── ──────────────── ──────────────────────────────────────── ──────── ───────── ───── ──────── ────────── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ──── ────── ────── ─── ─── ───
Weekly totals 220.43km 2,670m 6:21:36 448
Weekly averages 44.09km 534m 1:16:19 487 422 358 292 280 286 283 273 89 57 59 -2
Weekly maxima 50.01km 943m 1:29:26 762 602 447 389 379 371 367 343 806 311 338 1.04 161 59 67 -9
Although this example doesn't show it, the top three values for each peak are highlighted when the report is displayed (top value is white-on-red, second is black-on-yellow, and third is black-on-white).
Run from the command line, and specify one of three commands:
$ fitpeaks
Usage: fitpeaks [OPTIONS] [COMMAND] [ARGS]...
Options:
--help Show this message and exit.
Commands:
hr Report on peak heart rate
power Report on peak power
fetch Load Zwift data
If you omit the command, it shows a brief summary of the past week:
$ fitpeaks
┌──── Watts ─────┐
ID Date Activity Start Distance Elevation Duration Speed Max Avg Norm VI IF TSS AeroDe
───── ──────────────── ──────────────────────────────────────────────────────────────────────────────── ───── ──────── ────────── ──────── ────────── ──── ──── ──── ── ──── ──── ──────
1605 Thu 30 Jun, 2022 Three Sisters in Watopia 17:16 50.01km 943m 1:29:26 33.55km/hr 806 311 338 8% 1.04 161 4.9%
50.01km 943m 1:29:26 161
1606 Fri 01 Jul, 2022 Volcano Circuit in Watopia 15:48 5.47km 27m 0:09:56 33.04km/hr 461 202 217 0.62 6
1607 Group Ride: SZR After Sun (C) on Sprinter's Playground in Makuri Islands 16:00 44.57km 235m 1:09:03 38.73km/hr 444 211 223 5% 0.63 46 8.7%
50.04km 262m 1:18:59 52
1608 Sun 03 Jul, 2022 The Fan Flats in Richmond 17:24 8.06km 20m 0:15:23 31.44km/hr 289 186 193 0.55 7
1609 Pace Partner Ride: Figure 8 in Watopia with C. Cadence 17:41 32.04km 294m 0:52:57 36.31km/hr 399 212 222 5% 0.63 35 -4.1%
40.10km 314m 1:08:20 42
1610 Mon 04 Jul, 2022 Pace Partner Ride: Tempus Fugit in Watopia with D. Draft 17:19 15.02km 22m 0:23:59 37.58km/hr 278 182 186 2% 0.53 11 4.7%
1611 London Loop in London 17:46 20.02km 236m 0:32:01 37.53km/hr 744 318 344 8% 0.98 50 11.9%
1612 Pace Partner Ride: Hilly Route in Watopia with C. Cadence 18:20 10.13km 121m 0:17:03 35.65km/hr 345 198 215 8% 0.61 10 7.8%
45.18km 379m 1:13:03 71
───── ──────────────── ──────────────────────────────────────────────────────────────────────────────── ───── ──────── ────────── ──────── ────────── ──── ──── ──── ── ──── ──── ──────
Totals for week 185.33km 1,898m 5:09:48 326
Averages per day 46.33km 474m 1:17:27 81
Maxima from individual activities 50.01km 943m 1:29:26 38.73km/hr 806 318 344 1.04 161
Pretty self explanatory. To load Zwift data, for example:
$ fitpeaks fetch
To generate the power report:
$ fitpeaks power
The fetch command will use the Zwift API to fetch activity names. To do this, you need to create a config file that contains your Zwift username, password, and player ID.
Create it in your home directory — it should be available as ~/.fit-peaks.rc. It should look like this:
[zwift]
username = <my-username>
password = <my-password>
player-id = <my-player-id>
See https://zwiftinsider.com/find-your-zwift-user-id/ for full details on how to find your Zwift player ID. If you can't be bothered reading that, and you're on a Mac, bung this into your terminal:
grep -i 'player id' ~/Documents/Zwift/Logs/log.txt
You need to create an .athlete.json file in your home directory. This is used so the tool can understand your FTP and heart rate details. It needs this to calculate intensity factor, power zones, heart rate zones, etc.
Here's mine:
[
{"date":"01-Jan-1990", "ftp":279, "rhr":42, "thr": 155, "mhr": 184},
{"date":"10-Dec-2019", "ftp":316, "rhr":41, "thr": 155, "mhr": 184},
{"date":"23-Dec-2019", "ftp":322, "rhr":41, "thr": 155, "mhr": 184},
{"date":"31-Dec-2019", "ftp":335, "rhr":41, "thr": 156, "mhr": 184},
{"date":"18-Feb-2020", "ftp":338, "rhr":40, "thr": 156, "mhr": 184},
{"date":"25-Feb-2020", "ftp":341, "rhr":40, "thr": 156, "mhr": 184},
{"date":"28-Feb-2020", "ftp":354, "rhr":39, "thr": 156, "mhr": 184},
{"date":"18-May-2021", "ftp":313, "rhr":42, "thr": 163, "mhr": 174},
{"date":"09-May-2022", "ftp":325, "rhr":44, "thr": 163, "mhr": 173},
{"date":"30-Jun-2022", "ftp":352, "rhr":44, "thr": 163, "mhr": 176}
]
(Yeah, FTP dropped a fair bit for a while there. Life got in the way.)
Each entry in the array has five attributes:
daterepresents the date that the entry takes effect;ftpis your FTP from that date forward;rhris your resting heart rate from that date forward;thris your threshold heart rate from that date forward; andmhris your maximum heart rate from that date forward.
When your FTP changes, or your heart rate details change, simply add a new entry to the end of the array. Don't forget to add a , to the end of the previous entry.
As specified in the setup.py file.
To install locally:
$ pip3.8 install --editable .
Obtaining file:///Users/andrew/Developer/fit-peaks
Requirement already satisfied: Click>=7.0 in /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages (from fit-peaks==1.0) (7.0)
Requirement already satisfied: termcolor>=1.1.0 in /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages (from fit-peaks==1.0) (1.1.0)
Requirement already satisfied: fitparse>=1.1.0 in /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages (from fit-peaks==1.0) (1.1.0)
Requirement already satisfied: zwift-client>=0.2.0 in /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages (from fit-peaks==1.0) (0.2.0)
Requirement already satisfied: requests in /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages (from zwift-client>=0.2.0->fit-peaks==1.0) (2.22.0)
Requirement already satisfied: protobuf in /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages (from zwift-client>=0.2.0->fit-peaks==1.0) (3.11.2)
Requirement already satisfied: certifi>=2017.4.17 in /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages (from requests->zwift-client>=0.2.0->fit-peaks==1.0) (2019.9.11)
Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages (from requests->zwift-client>=0.2.0->fit-peaks==1.0) (1.25.6)
Requirement already satisfied: idna<2.9,>=2.5 in /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages (from requests->zwift-client>=0.2.0->fit-peaks==1.0) (2.8)
Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages (from requests->zwift-client>=0.2.0->fit-peaks==1.0) (3.0.4)
Requirement already satisfied: six>=1.9 in /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages (from protobuf->zwift-client>=0.2.0->fit-peaks==1.0) (1.13.0)
Requirement already satisfied: setuptools in /Users/andrew/Library/Python/3.8/lib/python/site-packages (from protobuf->zwift-client>=0.2.0->fit-peaks==1.0) (42.0.1)
Installing collected packages: fit-peaks
Running setup.py develop for fit-peaks
Successfully installed fit-peaks
Go at it. Do what you want.
I've only used and tested this on a Mac. I have no idea whether it works on Windows or not.
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