WakaTime Weekly Metrics on your Profile Readme:
Forum: GitHub Discussions
- You need to update a markdown file (
.md
) with 2 special comments. You can refer this to update it. - You'll need a WakaTime API Key, which you can get from your WakaTime Account Settings. Click here, if you're new to WakaTime.
- Optionally you might need a GitHub API Token with
repo
scope, generated from here, if you're running this 'action' on any repo other than your profile repository. Then go to this example to work it out. - You need to save the WakaTime API Key (and the GitHub API Token, if you need it) in the repository secrets. You can find that in your repository settings. Be sure to save those as the following.
- WakaTime-api-key as
WAKATIME_API_KEY = <your wakatime API Key>
and - The GitHub Access Token as
GH_TOKEN=<your github access token>
- WakaTime-api-key as
- You can follow either of the Two Examples according to your needs to get started with.
I strongly suggest you to run the 'Action' in your Profile Repo since you won't be needing a GitHub Access Token
This Action will run everyday at 00:00 UTC.
Add comments to your README.md
like this:
<!--START_SECTION:waka-->
<!--END_SECTION:waka-->
These lines will be the entry-points for dev metrics.
WakaTime gives you an idea of the time you really spent on coding. This helps you boost your productivity and competitive edge.
- Head over to https://wakatime.com and create an account.
- Get your WakaTime API Key from your Account Settings in WakaTime.
- Install the WakaTime plugin in your favourite editor / IDE.
- Paste in your API key to start the analysis.
Alternatively, you can also choose to fetch data from third-party WakaTime-compatible services like Wakapi or Hakatime instead. For details, see extras section below.
If you're executing the workflow on your Profile Repository (<username>/<username>
)
Please follow the steps below:
-
Go to your
<username>/<username>/actions
, hitNew workflow
andset up a workflow yourself
, then delete all the default content. -
Copy the following code and paste it to your new workflow file you just created and save/commit it as
wakatime.yml
.name: Waka Readme on: workflow_dispatch: schedule: # Runs at every 12AM UTC - cron: "0 0 * * *" jobs: update-readme: name: Update this repo's README runs-on: ubuntu-latest steps: - uses: athul/waka-readme@master with: WAKATIME_API_KEY: ${{ secrets.WAKATIME_API_KEY }}
-
Go to your repo secrets by hitting
Settings > Secrets
. You can also enter the url https://github.com/USERNAME/USERNAME/settings/secrets/actions/new . Please replace theUSERNAME
with your own username. -
Create a new Secret.
Name: WAKATIME_API_KEY
andValue:
Paste the Wakatime API key here.If you don't know what the key is, please go to Wakatime API to get your API Key (See New to WakaTime?).
Add secret.
5. Go to Action tab, click onWaka Readme
, andRun workflow
. -
Go to your profile page. you will be able to see it in 24 hrs.
If you're executing the workflow on another repo other than <username>/<username>
You'll need to get a GitHub Access Token with a repo
scope and save it in the Repo Secrets GH_TOKEN = <Your GitHub Access Token>
Here is Sample Workflow File for running it:
name: Waka Readme
on:
schedule:
# Runs at 12am UTC
- cron: "0 0 * * *"
jobs:
update-readme:
name: Update Readme with Metrics
runs-on: ubuntu-latest
steps:
- uses: athul/waka-readme@master
with:
WAKATIME_API_KEY: ${{ secrets.WAKATIME_API_KEY }}
GH_TOKEN: ${{ secrets.GH_TOKEN }}
REPOSITORY: <username/username> # optional, By default, it will automatically use the repository which is executing the workflow.
To run tests simply execute the following in the directory containing main.py
:
python -m unittest discover
These tests uses the python's unit testing framework.
Since this project is contained all within one file, main.py
. You can simply add a function to the TestMain
class in tests/test_main.py
, similar to the test_graph
function.
-
You can specify the time range in the parameter (default
last_7_days
):- uses: athul/waka-readme@master with: WAKATIME_API_KEY: ${{ secrets.WAKATIME_API_KEY }} TIME_RANGE: last_30_days
See Wakatime API docs for more possible values.
-
If you want to add the week in the Header of your stats, you can add
SHOW_TITLE: true
(by default it will befalse
) in your workflow file like this- uses: athul/waka-readme@master with: WAKATIME_API_KEY: ${{ secrets.WAKATIME_API_KEY }} GH_TOKEN: ${{ secrets.GH_TOKEN }} SHOW_TITLE: true
Here is an example output with
SHOW_TITLE
set totrue
.From: 12 February, 2022 - To: 19 February, 2022 Python 8 hrs 52 mins ███████████████████░░░░░░ 75.87 % Go 1 hr 15 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 10.79 % Markdown 52 mins █░░░░░░░░░░░░░░░░░░░░░░░░ 07.43 % Docker 16 mins ░░░░░░░░░░░░░░░░░░░░░░░░░ 02.32 % YAML 7 mins ░░░░░░░░░░░░░░░░░░░░░░░░░ 01.07 %
-
You can specify a commit message to override the default "Updated the Graph with new Metrics". Here is how you do it
- uses: athul/waka-readme@master with: WAKATIME_API_KEY: ${{ secrets.WAKATIME_API_KEY }} GH_TOKEN: ${{ secrets.GH_TOKEN }} COMMIT_MESSAGE: Updated the Readme
If no commit message is specified in the
yml
file, it defaults to "Updated the Graph with new Metrics" -
You can change the block characters to match with the style of your readme. By default the one show in the graphs before is used. Here is how you do it
- uses: athul/waka-readme@master with: WAKATIME_API_KEY: ${{ secrets.WAKATIME_API_KEY }} BLOCKS: ⣀⣄⣤⣦⣶⣷⣿
It will change the graph to something like this:
Python 8 hrs 52 mins ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀ 75.87 % Go 1 hr 15 mins ⣿⣿⣦⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 10.79 % Markdown 52 mins ⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 07.43 % Docker 16 mins ⣤⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 02.32 % YAML 7 mins ⣄⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀ 01.07 %
-
As an alternative to official WakaTime, waka-readme also integrates with WakaTime-compatible services like Wakapi and Hakatime. To use one of these, adapt the API URL accordingly and use the respective service's API key instead:
- uses: athul/waka-readme@master with: WAKATIME_API_KEY: ${{ secrets.WAKATIME_API_KEY }} API_BASE_URL: https://wakapi.dev/api
-
If you do not like to share how much time you spent on each language, you can add
SHOW_TIME: false
(by default it will betrue
) in your workflow file like so:- uses: athul/waka-readme@master with: WAKATIME_API_KEY: ${{ secrets.WAKATIME_API_KEY }} SHOW_TIME: false
Here is an example output with
SHOW_TIME
set tofalse
.From: 12 February, 2022 - To: 19 February, 2022 PHP ████████████████████▒░░░░░░░░░░░░░░░░░░░░ 49.98 % Twig ████▓░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 11.07 % YAML ████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 09.77 % JavaScript ██▓░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 06.34 % Other ██▒░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 05.87 %
I am a fan of minimal designs and the profile readme is a great way to show off your skills and interests. The WakaTime API, gets us a lot of data about a person's coding activity including the editors and Operating Systems you used and the projects you worked on. Some of these projects maybe secretive and should not be shown out to the public. Using up more data via the Wakatime API will clutter the profile readme and hinder your chances on displaying what you provide value to the community like the pinned Repositories. I believe that Coding Stats is nerdiest of all since you can tell the community that you are exercising these languages or learning a new language, this will also show that you spend some amount of time to learn and exercise your development skills. That's what matters in the end ❤️