Dev Metrics in Readme

WakaTime Weekly Metrics on your Profile Readme:

Forum: GitHub Discussions

Prep Work

1. You need to update the markdown file(.md) with 2 comments. You can refer here for updating it.
2. You'll need a WakaTime API Key. You can get that from your WakaTime Account Settings
   • You can refer here, if you're new to WakaTime
3. Optional You'll need a GitHub API Token with repo scope from here if you're running the action not in your Profile Repository
   • You can use this example to work it out
4. 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 the Settings of your Repository.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>
5. 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

Update your Readme

Add a comment to your README.md like this:

<!--START_SECTION:waka-->
<!--END_SECTION:waka-->

These lines will be our entry-points for the dev metrics.

New to WakaTime

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.

Profile Repository

If you're executing the workflow on your Profile Repository (<username>/<username>)

You wouldn't need an GitHub Access Token since GitHub Actions already makes one for you.

Please follow the steps below:

1. Go to your <username>/<username>/actions, hit New workflow, set up a workflow yourself, delete all the default content github made for you.
2. Copy the following code and paste it to your new workflow you created at step 1:

name: Waka Readme

on:
  workflow_dispatch:
  schedule:
    # Runs at 12am UTC
    - cron: "0 0 * * *"

jobs:
  update-readme:
    name: Update this repo's README
    runs-on: ubuntu-latest
    steps:
      - uses: athul/[email protected]
        with:
          WAKATIME_API_KEY: ${{ secrets.WAKATIME_API_KEY }}

3. Go to your repo secrets by hitting Settings => Secrets tab in your profile repo. You can also enter the url https://github.com/USERNAME/USERNAME/settings/secrets . Please replace the USERNAME with your own username.
4. Create a new Secret. Name: WAKATIME_API_KEY, Value: Paste the Wakatime API key here. If you don't know what is the key, please go to Account Settings in WakaTime to find your API Key there.
5. Add a comment to your README.md like this:

<!--START_SECTION:waka-->
<!--END_SECTION:waka-->

6. Go to Workflows menu (mentioned in step 1), click Waka Readme, click Run workflow.
7. Go to your profile page. you will be able to see it.

Other Repository (not Profile)

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/[email protected]
        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 who's executing the workflow.

Tests

Running Tests

To run tests simply execute the following in the directory containing main.py:

python -m unittest discover

Contributing Tests

These tests uses the python Unit testing framework, unittest

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.

Extras

1. If you want to add the week in the Header of your stats, you can add SHOW_TITLE: true in your workflow file like this

- uses: athul/[email protected]
        with:
          WAKATIME_API_KEY: ${{ secrets.WAKATIME_API_KEY }}
          GH_TOKEN: ${{ secrets.GH_TOKEN }}
          SHOW_TITLE: true

SHOW_TITLE flag can be set to true if you want to display the week number and days in the readme, by default it will be false. Here is an example output with SHOW_TITLE set to true.

Week: 10 July, 2020 - 17 July, 2020
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 %

2. You can specify a commit message to override the default "Updated the Graph with new Metrics". Here is how you do it

- uses: athul/[email protected]
        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"

3. 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/[email protected]
        with:
          WAKATIME_API_KEY: ${{ secrets.WAKATIME_API_KEY }}
          BLOCKS: ⣀⣄⣤⣦⣶⣷⣿

This will change the graphs 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 %

Why only the language stats and not other data from the API?

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 ❤️