A minimalist, self-hosted WakaTime-compatible backend for coding statistics.
Installation instructions can be found below and in the [Wiki](https://github.com/muety/wakapi/wiki).
## π Features
* β
Free and open-source
* β
Built by developers for developers
* β
Statistics for projects, languages, editors, hosts and operating systems
* β
Badges
* β
Weekly E-Mail reports
* β
REST API
* β
Partially compatible with WakaTime
* β
WakaTime integration
* β
Support for Prometheus exports
* β
Lightning fast
* β
Self-hosted
## π§ Roadmap
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), [#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).
## β¨οΈ How to use?
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.
### βοΈ Option 1: Use [wakapi.dev](https://wakapi.dev)
If you want to try out a free, hosted cloud service, all you need to do is create an account and then set up your client-side tooling (see below).
### π¦ Option 2: Quick-run a release
```bash
$ curl -L https://wakapi.dev/get | bash
```
**Alternatively** using [eget](https://github.com/zyedidia/eget):
```bash
$ eget muety/wakapi
```
### π³ Option 3: Use Docker
```bash
# Create a persistent volume
$ docker volume create wakapi-data
$ SALT="$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w ${1:-32} | head -n 1)"
# Run the container
$ docker run -d \
-p 3000:3000 \
-e "WAKAPI_PASSWORD_SALT=$SALT" \
-v wakapi-data:/data \
--name wakapi \
ghcr.io/muety/wakapi:latest
```
**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.
### π§βπ» Option 4: Compile and run from source
```bash
# Build and install
# Alternatively: go build -o wakapi
$ go install github.com/muety/wakapi@latest
# Get default config and customize
$ curl -o wakapi.yml https://raw.githubusercontent.com/muety/wakapi/master/config.default.yml
$ vi wakapi.yml
# Run it
$ ./wakapi -config wakapi.yml
```
**Note:** Check the comments in `config.yml` for best practices regarding security configuration and more.
π‘ When running Wakapi standalone (without Docker), it is recommended to run it as a [SystemD service](etc/wakapi.service).
### π» Client setup
Wakapi relies on the open-source [WakaTime](https://github.com/wakatime/wakatime) client tools. In order to collect statistics for 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. **Edit your local `~/.wakatime.cfg`** file as follows.
```ini
[settings]
# Your Wakapi server URL or 'https://wakapi.dev/api' when using the cloud server
api_url = http://localhost:3000/api
# Your Wakapi API key (get it from the web interface after having created an account)
api_key = 406fe41f-6d69-4183-a4cc-121e0c524c2b
```
Optionally, you can set up a [client-side proxy](https://github.com/muety/wakapi/wiki/Advanced-Setup:-Client-side-proxy) in addition.
## π§ Configuration options
You can specify configuration options either via a config file (default: `config.yml`, customizable through the `-c` argument) or via environment variables. Here is an overview of all options.
| YAML key / Env. variable | Default | Description |
|------------------------------------------------------------------------------|--------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| `env` /
`ENVIRONMENT` | `dev` | Whether to use development- or production settings |
| `app.aggregation_time` /
`WAKAPI_AGGREGATION_TIME` | `0 15 2 * * *` | Time of day at which to periodically run summary generation for all users |
| `app.report_time_weekly` /
`WAKAPI_REPORT_TIME_WEEKLY` | `0 0 18 * * 5` | Week day and time at which to send e-mail reports |
| `app.leaderboard_generation_time` /
`WAKAPI_LEADERBOARD_GENERATION_TIME` | `0 0 6 * * *,0 0 18 * * *` | One or multiple times of day at which to re-calculate the leaderboard |
| `app.data_cleanup_time` /
`WAKAPI_DATA_CLEANUP_TIME` | `0 0 6 * * 7` | When to perform data cleanup operations (see `app.data_retention_months`) |
| `app.import_batch_size` /
`WAKAPI_IMPORT_BATCH_SIZE` | `50` | Size of batches of heartbeats to insert to the database during importing from external services |
| `app.inactive_days` /
`WAKAPI_INACTIVE_DAYS` | `7` | Number of days after which to consider a user inactive (only for metrics) |
| `app.heartbeat_max_age /`
`WAKAPI_HEARTBEAT_MAX_AGE` | `4320h` | Maximum acceptable age of a heartbeat (see [`ParseDuration`](https://pkg.go.dev/time#ParseDuration)) |
| `app.custom_languages` | - | Map from file endings to language names |
| `app.avatar_url_template` /
`WAKAPI_AVATAR_URL_TEMPLATE` | (see [`config.default.yml`](config.default.yml)) | URL template for external user avatar images (e.g. from [Dicebear](https://dicebear.com) or [Gravatar](https://gravatar.com)) |
| `app.support_contact` /
`WAKAPI_SUPPORT_CONTACT` | `hostmaster@wakapi.dev` | E-Mail address to display as a support contact on the page |
| `app.data_retention_months` /
`WAKAPI_DATA_RETENTION_MONTHS` | `-1` | Maximum retention period in months for user data (heartbeats) (-1 for unlimited) |
| `server.port` /
`WAKAPI_PORT` | `3000` | Port to listen on |
| `server.listen_ipv4` /
`WAKAPI_LISTEN_IPV4` | `127.0.0.1` | IPv4 network address to listen on (leave blank to disable IPv4) |
| `server.listen_ipv6` /
`WAKAPI_LISTEN_IPV6` | `::1` | IPv6 network address to listen on (leave blank to disable IPv6) |
| `server.listen_socket` /
`WAKAPI_LISTEN_SOCKET` | - | UNIX socket to listen on (leave blank to disable UNIX socket) |
| `server.timeout_sec` /
`WAKAPI_TIMEOUT_SEC` | `30` | Request timeout in seconds |
| `server.tls_cert_path` /
`WAKAPI_TLS_CERT_PATH` | - | Path of SSL server certificate (leave blank to not use HTTPS) |
| `server.tls_key_path` /
`WAKAPI_TLS_KEY_PATH` | - | Path of SSL server private key (leave blank to not use HTTPS) |
| `server.base_path` /
`WAKAPI_BASE_PATH` | `/` | Web base path (change when running behind a proxy under a sub-path) |
| `server.public_url` /
`WAKAPI_PUBLIC_URL` | `http://localhost:3000` | URL at which your Wakapi instance can be found publicly |
| `security.password_salt` /
`WAKAPI_PASSWORD_SALT` | - | Pepper to use for password hashing |
| `security.insecure_cookies` /
`WAKAPI_INSECURE_COOKIES` | `false` | Whether or not to allow cookies over HTTP |
| `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 |
| `security.expose_metrics` /
`WAKAPI_EXPOSE_METRICS` | `false` | Whether to expose Prometheus metrics under `/api/metrics` |
| `db.host` /
`WAKAPI_DB_HOST` | - | Database host |
| `db.port` /
`WAKAPI_DB_PORT` | - | Database port |
| `db.socket` /
`WAKAPI_DB_SOCKET` | - | Database UNIX socket (alternative to `host`) (for MySQL only) |
| `db.user` /
`WAKAPI_DB_USER` | - | Database user |
| `db.password` /
`WAKAPI_DB_PASSWORD` | - | Database password |
| `db.name` /
`WAKAPI_DB_NAME` | `wakapi_db.db` | Database name |
| `db.dialect` /
`WAKAPI_DB_TYPE` | `sqlite3` | Database type (one of `sqlite3`, `mysql`, `postgres`, `cockroach`) |
| `db.charset` /
`WAKAPI_DB_CHARSET` | `utf8mb4` | Database connection charset (for MySQL only) |
| `db.max_conn` /
`WAKAPI_DB_MAX_CONNECTIONS` | `2` | Maximum number of database connections |
| `db.ssl` /
`WAKAPI_DB_SSL` | `false` | Whether to use TLS encryption for database connection (Postgres and CockroachDB only) |
| `db.automgirate_fail_silently` /
`WAKAPI_DB_AUTOMIGRATE_FAIL_SILENTLY` | `false` | Whether to ignore schema auto-migration failures when starting up |
| `mail.enabled` /
`WAKAPI_MAIL_ENABLED` | `true` | Whether to allow Wakapi to send e-mail (e.g. for password resets) |
| `mail.sender` /
`WAKAPI_MAIL_SENDER` | `Wakapi ` | Default sender address for outgoing mails (ignored for MailWhale) |
| `mail.provider` /
`WAKAPI_MAIL_PROVIDER` | `smtp` | Implementation to use for sending mails (one of [`smtp`, `mailwhale`]) |
| `mail.smtp.host` /
`WAKAPI_MAIL_SMTP_HOST` | - | SMTP server address for sending mail (if using `smtp` mail provider) |
| `mail.smtp.port` /
`WAKAPI_MAIL_SMTP_PORT` | - | SMTP server port (usually 465) |
| `mail.smtp.username` /
`WAKAPI_MAIL_SMTP_USER` | - | SMTP server authentication username |
| `mail.smtp.password` /
`WAKAPI_MAIL_SMTP_PASS` | - | SMTP server authentication password |
| `mail.smtp.tls` /
`WAKAPI_MAIL_SMTP_TLS` | `false` | Whether the SMTP server requires TLS encryption (`false` for STARTTLS or no encryption) |
| `mail.mailwhale.url` /
`WAKAPI_MAIL_MAILWHALE_URL` | - | URL of [MailWhale](https://mailwhale.dev) instance (e.g. `https://mailwhale.dev`) (if using `mailwhale` mail provider) |
| `mail.mailwhale.client_id` /
`WAKAPI_MAIL_MAILWHALE_CLIENT_ID` | - | MailWhale API client ID |
| `mail.mailwhale.client_secret` /
`WAKAPI_MAIL_MAILWHALE_CLIENT_SECRET` | - | MailWhale API client secret |
| `sentry.dsn` /
`WAKAPI_SENTRY_DSN` | β | DSN for to integrate [Sentry](https://sentry.io) for error logging and tracing (leave empty to disable) |
| `sentry.enable_tracing` /
`WAKAPI_SENTRY_TRACING` | `false` | Whether to enable Sentry request tracing |
| `sentry.sample_rate` /
`WAKAPI_SENTRY_SAMPLE_RATE` | `0.75` | Probability of tracing a request in Sentry |
| `sentry.sample_rate_heartbeats` /
`WAKAPI_SENTRY_SAMPLE_RATE_HEARTBEATS` | `0.1` | Probability of tracing a heartbeat request in Sentry |
| `quick_start` /
`WAKAPI_QUICK_START` | `false` | Whether to skip initial boot tasks. Use only for development purposes! |
### Supported databases
Wakapi uses [GORM](https://gorm.io) as an ORM. As a consequence, a set of different relational databases is supported.
* [SQLite](https://sqlite.org/) (_default, easy setup_)
* [MySQL](https://hub.docker.com/_/mysql) (_recommended, because most extensively tested_)
* [MariaDB](https://hub.docker.com/_/mariadb) (_open-source MySQL alternative_)
* [Postgres](https://hub.docker.com/_/postgres) (_open-source as well_)
* [CockroachDB](https://www.cockroachlabs.com/docs/stable/install-cockroachdb-linux.html) (_cloud-native, distributed, Postgres-compatible API_)
## π§ API endpoints
See our [Swagger API Documentation](https://wakapi.dev/swagger-ui).
### Generating Swagger docs
```bash
$ go install github.com/swaggo/swag/cmd/swag@latest
$ swag init -o static/docs
```
## π€ Integrations
### Prometheus export
You can export your Wakapi statistics to Prometheus to view them in a Grafana dashboard or so. Here is how.
```bash
# 1. Start Wakapi with the feature enabled
$ export WAKAPI_EXPOSE_METRICS=true
$ ./wakapi
# 2. Get your API key and hash it
$ echo "" | base64
# 3. Add a Prometheus scrape config to your prometheus.yml (see below)
```
#### Scrape config example
```yml
# prometheus.yml
# (assuming your Wakapi instance listens at localhost, port 3000)
scrape_configs:
- job_name: 'wakapi'
scrape_interval: 1m
metrics_path: '/api/metrics'
bearer_token: ''
static_configs:
- targets: ['localhost:3000']
```
#### Grafana
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).
### WakaTime integration
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.
### GitHub Readme Stats integrations
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.
Click to view code
```markdown
```
### Github Readme Metrics integration
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.
Preview:
Click to view code
```yml
- uses: lowlighter/metrics@latest
with:
# ... other options
plugin_wakatime: yes
plugin_wakatime_token: ${{ secrets.WAKATIME_TOKEN }} # Required
plugin_wakatime_days: 7 # Display last week stats
plugin_wakatime_sections: time, projects, projects-graphs # Display time and projects sections, along with projects graphs
plugin_wakatime_limit: 4 # Show 4 entries per graph
plugin_wakatime_url: http://wakapi.dev # Wakatime url endpoint
plugin_wakatime_user: .user.login # User
```
## π Best practices
It is recommended to use wakapi behind a **reverse proxy**, like [Caddy](https://caddyserver.com) or [nginx](https://www.nginx.com/), to enable **TLS encryption** (HTTPS).
However, if you want to expose your wakapi instance to the public anyway, you need to set `server.listen_ipv4` to `0.0.0.0` in `config.yml`.
## π§ͺ Tests
### Unit tests
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_ENABLED=0 go test `go list ./... | grep -v 'github.com/muety/wakapi/scripts'` -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.
#### Prerequisites (Linux only)
```bash
# 1. sqlite (cli)
$ sudo apt install sqlite # Fedora: sudo dnf install sqlite
# 2. newman
$ npm install -g newman
```
#### How to run (Linux only)
```bash
$ ./testing/run_api_tests.sh
```
## π€ Developer notes
### Building web assets
To keep things minimal, all JS and CSS assets are included as static files and checked in to Git. [TailwindCSS](https://tailwindcss.com/docs/installation#building-for-production) and [Iconify](https://iconify.design/docs/icon-bundles/) require an additional build step. To only require this at the time of development, the compiled assets are checked in to Git as well.
```bash
$ yarn
$ yarn build # or: yarn watch
```
New icons can be added by editing the `icons` array in [scripts/bundle_icons.js](scripts/bundle_icons.js).
#### Precompression
As explained in [#284](https://github.com/muety/wakapi/issues/284), precompressed (using Brotli) versions of some of the assets are delivered to save additional bandwidth. This was inspired by Caddy's [`precompressed`](https://caddyserver.com/docs/caddyfile/directives/file_server) directive. [`gzipped.FileServer`](https://github.com/muety/wakapi/blob/07a367ce0a97c7738ba8e255e9c72df273fd43a3/main.go#L249) checks for every static file's `.br` or `.gz` equivalents and, if present, delivers those instead of the actual file, alongside `Content-Encoding: br`. Currently, compressed assets are simply checked in to Git. Later we might want to have this be part of a new build step.
To pre-compress files, run this:
```bash
# Install brotli first
$ sudo apt install brotli # or: sudo dnf install brotli
# Watch, build and compress
$ yarn watch:compress
# Alternatively: build and compress only
$ yarn build:all:compress
# Alternatively: compress only
$ yarn compress
```
## β FAQs
Since Wakapi heavily relies on the concepts provided by WakaTime, [their FAQs](https://wakatime.com/faq) largely apply to Wakapi as well. You might find answers there.
What data are sent to Wakapi?
- File names
- Project names
- Editor names
- Your computer's host name
- Timestamps for every action you take in your editor
- ...
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.
What happens if I'm offline?
All data are cached locally on your machine and sent in batches once you're online again.
How did Wakapi come about?
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 $9 a month back then. Luckily, most parts of WakaTime are open source!
How does Wakapi compare to WakaTime?
Wakapi is a small subset of WakaTime and has a lot less features. Cool WakaTime features, that are missing Wakapi, include:
- Leaderboards
- Embeddable Charts
- Personal Goals
- Team- / Organization Support
- Additional Integrations (with GitLab, etc.)
- Richer API
WakaTime is worth the price. However, if you only need basic statistics and like to keep sovereignty over your data, you might want to go with Wakapi.
How are durations calculated?
Inferring a measure for your coding time from heartbeats works a bit differently than in WakaTime. While WakaTime has timeout intervals, Wakapi essentially just pads every heartbeat that occurs after a longer pause with 2 extra minutes.
Here is an example (circles are heartbeats):
```text
|---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 staring at the screen trying to find a solution, but not actually typing code?
- WakaTime (with 5 min timeout): 3 min 20 sec
- WakaTime (with 2 min timeout): 20 sec
- Wakapi: 10 sec + 2 min + 10 sec = 2 min 20 sec
Wakapi adds a "padding" of two minutes before the third heartbeat. This is why total times will slightly vary between Wakapi and WakaTime.
## π³ Treeware
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 youβll be creating employment for local families and restoring wildlife habitats.
## π 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 π. 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!
## π Thanks
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.
## π License
GPL-v3 @ [Ferdinand MΓΌtsch](https://muetsch.io)