I'd love to get some community feedback from active Wakapi users. If you want, please participate in the recent [user survey](https://github.com/muety/wakapi/issues/82). Thanks a lot!
Plans for the near future mainly include, besides usual improvements and bug fixes, a UI redesign as well as additional types of charts and statistics (see [#101](https://github.com/muety/wakapi/issues/101), [#80](https://github.com/muety/wakapi/issues/80), [#76](https://github.com/muety/wakapi/issues/76), [#12](https://github.com/muety/wakapi/issues/12)). If you have feature requests or any kind of improvement proposals feel free to open an issue or share them in our [user survey](https://github.com/muety/wakapi/issues/82).
There are different options for how to use Wakapi, ranging from our hosted cloud service to self-hosting it. Regardless of which option choose, you will always have to do the [client setup](#-client-setup) in addition.
**Note:** By default, SQLite is used as a database. To run Wakapi in Docker with MySQL or Postgres, see [Dockerfile](https://github.com/muety/wakapi/blob/master/Dockerfile) and [config.default.yml](https://github.com/muety/wakapi/blob/master/config.default.yml) for further options.
If you want to run Wakapi on **Kubernetes**, there is [wakapi-helm-chart](https://github.com/andreymaznyak/wakapi-helm-chart) for quick and easy deployment.
Wakapi relies on the open-source [WakaTime](https://github.com/wakatime/wakatime) client tools. In order to collect statistics to Wakapi, you need to set them up.
1.**Set up WakaTime** for your specific IDE or editor. Please refer to the respective [plugin guide](https://wakatime.com/plugins)
2.**Editing your local `~/.wakatime.cfg`** file as follows
You can specify configuration options either via a config file (default: `config.yml`, customziable through the `-c` argument) or via environment variables. Here is an overview of all options.
| `security.cookie_max_age` | `WAKAPI_COOKIE_MAX_AGE` | `172800` | Lifetime of authentication cookies in seconds or `0` to use [Session](https://developer.mozilla.org/en-US/docs/Web/HTTP/Cookies#Define_the_lifetime_of_a_cookie) cookies |
| `security.allow_signup` | `WAKAPI_ALLOW_SIGNUP` | `true` | Whether to enable user registration |
| `mail.smtp.*` | `WAKAPI_MAIL_SMTP_*` | `-` | Various options to configure SMTP. See [default config](config.default.yml) for details |
| `mail.mailwhale.*` | `WAKAPI_MAIL_MAILWHALE_*` | `-` | Various options to configure [MailWhale](https://mailwhale.dev) sending service. See [default config](config.default.yml) for details |
There is also a [nice Grafana dashboard](https://grafana.com/grafana/dashboards/12790), provided by the author of [wakatime_exporter](https://github.com/MacroPower/wakatime_exporter).
Wakapi plays well together with [WakaTime](https://wakatime.com). For one thing, you can **forward heartbeats** from Wakapi to WakaTime to effectively use both services simultaneously. In addition, there is the option to **import historic data** from WakaTime for consistency between both services. Both features can be enabled in the _Integrations_ section of your Wakapi instance's settings page.
Wakapi also integrates with [GitHub Readme Stats](https://github.com/anuraghazra/github-readme-stats#wakatime-week-stats) to generate fancy cards for you. Here is an example.
There is a [WakaTime plugin](https://github.com/lowlighter/metrics/tree/master/source/plugins/wakatime) for GitHub [metrics](https://github.com/lowlighter/metrics/) that is also compatible with Wakapi.
Unit tests are supposed to test business logic on a fine-grained level. They are implemented as part of the application, using Go's [testing](https://pkg.go.dev/testing?utm_source=godoc) package alongside [stretchr/testify](https://pkg.go.dev/github.com/stretchr/testify).
#### How to run
```bash
$ CGO_FLAGS="-g -O2 -Wno-return-local-addr" go test -json -coverprofile=coverage/coverage.out ./... -run ./...
```
### API Tests
API tests are implemented as black box tests, which interact with a fully-fledged, standalone Wakapi through HTTP requests. They are supposed to check Wakapi's web stack and endpoints, including response codes, headers and data on a syntactical level, rather than checking the actual content that is returned.
Our API (or end-to-end, in some way) tests are implemented as a [Postman](https://www.postman.com/) collection and can be run either from inside Postman, or using [newman](https://www.npmjs.com/package/newman) as a command-line runner.
To get a predictable environment, tests are run against a fresh and clean Wakapi instance with a SQLite database that is populated with nothing but some seed data (see [data.sql](testing/data.sql)). It is usually recommended for software tests to be [safe](https://www.restapitutorial.com/lessons/idempotency.html), stateless and without side effects. In contrary to that paradigm, our API tests strictly require a fixed execution order (which Postman assures) and their assertions may rely on specific previous tests having succeeded.
To keep things minimal, Wakapi does not contain a `package.json`, `node_modules` or any sort of frontend build step. Instead, all JS and CSS assets are included as static files and checked in to Git. This way we can avoid requiring NodeJS to build Wakapi. However, for [TailwindCSS](https://tailwindcss.com/docs/installation#building-for-production) it makes sense to run it through a "build" step to benefit from purging and significantly reduce it in size. To only require this at the time of development, the compiled asset is checked in to Git as well. Similarly, [Iconify](https://iconify.design/docs/icon-bundles/) bundles are also created at development time and checked in to the repo.
Since Wakapi heavily relies on the concepts provided by WakaTime, [their FAQs](https://wakatime.com/faq) apply to Wakapi for large parts as well. You might find answers there.
See the related [WakaTime FAQ section](https://wakatime.com/faq#data-collected) for details.
If you host Wakapi yourself, you have control over all your data. However, if you use our webservice and are concerned about privacy, you can also [exclude or obfuscate](https://wakatime.com/faq#exclude-paths) certain file- or project names.
Wakapi was started when I was a student, who wanted to track detailed statistics about my coding time. Although I'm a big fan of WakaTime I didn't want to pay <ahref="https://wakatime.com/pricing)">9 $ a month</a> back then. Luckily, most parts of WakaTime are open source!
Inferring a measure for your coding time from heartbeats works a bit different than in WakaTime. While WakaTime has <ahref="https://wakatime.com/faq#timeout">timeout intervals</a>, Wakapi essentially just pads every heartbeat, that occurs after a longer pause, with 2 extra minutes.
Here is an example (circles are heartbeats):
```
|---o---o--------------o---o---|
| |10s| 3m |10s| |
```
It is unclear how to handle the three minutes in between. Did the developer do a 3-minute break or were just no heartbeats being sent, e.g. because the developer was starring at the screen find a solution, but not actually typing code.
This package is [Treeware](https://treeware.earth). If you use it in production, then we ask that you [**buy the world a tree**](https://plant.treeware.earth/muety/wakapi) to thank us for our work. By contributing to the Treeware forest you’ll be creating employment for local families and restoring wildlife habitats.
## 👏 Support
Coding in open source is my passion and I would love to do it on a full-time basis and make a living from it one day. So if you like this project, please consider supporting it 🙂. You can donate either through [buying me a coffee](https://buymeacoff.ee/n1try) or becoming a GitHub sponsor. Every little donation is highly appreciated and boosts my motivation to keep improving Wakapi!
I highly appreciate the efforts of **[@alanhamlett](https://github.com/alanhamlett)** and the WakaTime team and am thankful for their software being open source.
Moreover, thanks to **[JetBrains](https://jb.gg/OpenSource)** for supporting this project as part of their open-source program.
