This project provides a real-time API for teams to view how f-cked up they currently are. Each team member provides input to specify the level at which they feel the team is currently messed up. These values range from 0% (meaning team feels there are no WTF situations) to 100% (meaning the members feel the team is completely f-cked).
The idea for this came from Peter Bourgon's tweets.
This repository was built to help others learn how to build a fully functioning Go application. It can be used in several ways:
-
As a reference—the code is well documented. Honestly, too documented for most projects but the goal here is to be as clear as possible for anyone reading the code.
-
As a walkthrough—companion blog posts will be added that walk through the various parts of the application and explain the design choices.
You can also see the project structure overview below to get a quick overview of the application structure.
The wtf
project organizes code with the following approach:
- Application domain types go in the root—
User
,UserService
,Dial
, etc. - Implementations of the application domain go in subpackages—
sqlite
,http
, etc. - Everything is tied together in the
cmd
subpackages—cmd/wtf
&cmd/wtfd
.
The application domain is the collection of types which define what your application does without defining how it does it. For example, if you were to describe what WTF Dial does to a non-technical person, you would describe it in terms of Users and Dials.
We also include interfaces for managing our application domain data types which
are used as contracts for the underlying implementations. For example, we define
a wtf.DialService
interface for CRUD (Create/Read/Update/Delete) actions and
SQLite does the actual implementation.
This allows all packages to share a common understanding of what each service does. We can swap out implementations, or more importantly, we can layer implementations on top of one another. We could, for example, add a Redis caching layer on top of our database layer without having the two layers know about one another as long as they both implement the same common interface.
Most subpackages are used as an adapter between our application domain and the
technology that we're using to implement the domain. For example,
sqlite.DialService
implements the wtf.DialService
using SQLite.
The subpackages generally should not know about one another and should communicate in terms of the application domain.
These are separated out into the following packages:
http
—Implements services over HTTP transport layer.inmem
—Implements in-memory event listener service & subscriptions.sqlite
—Implements services on SQLite storage layer.
There is also a mock
package which implements simple mocks for each of the
application domain interfaces. This allows each subpackage's unit tests to share
a common set of mocks so layers can be tested in isolation.
The implementation subpackages are loosely coupled so they need to be wired
together by another package to actually make working software. That's the job
of the cmd
subpackages which produce the final binary.
There are two binaries:
wtfd
—the WTF serverwtf
—the client CLI application
Each of these binaries collect the services together in different ways depending on the use case.
The wtfd
server binary creates a sqlite
storage layer and adds the http
transport layer on top. The wtf
client binary doesn't have a storage layer.
It only needs the client side http
transport layer.
The cmd
packages are ultimately the interface between the application domain
and the operator. That means that configuration types & CLI flags should live
in these packages.
A few smaller packages don't fall into the organization listed above:
csv
—implements acsv.DialEncoder
for encoding a list of Dial objects to a writer using the CSV format.http/html
-groups together HTML templates used by thehttp
package.
You can build wtf
locally by cloning the repository and installing the
ego templating library.
Then run:
$ make
$ go install ./cmd/...
The wtfd
server uses GitHub for authentication so you'll need to create a
new GitHub OAuth App.
Next, you'll need to setup a configuration file in ~/wtfd.conf
:
[github]
client-id = "00000000000000000000"
client-secret = "0000000000000000000000000000000000000000"
[http]
addr = ":3000"
block-key = "0000000000000000000000000000000000000000000000000000000000000000"
hash-key = "00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000"
Replace the GitHub client-id
& client-secret
with the values from the
GitHub OAuth application you registered.
The [http]
section can be left as-is for a local environment. The key fields
need random hex values for generating secure cookies but all zeros is ok for
local testing.
Finally, run the wtfd
server and open the web site at http://localhost:3000
:
$ $GOPATH/bin/wtfd
The wtf-storybook
binary allows you to test UI views with prepopulated data.
This can make it easier to quickly test certain scenarios without needing to
set up your backend database.
To run storybook, simply build it and run it:
$ go install ./cmd/wtf-storybook
$ wtf-storybook
Listening on http://localhost:3001
To add a new view, add an entry to the routes
variable:
var routes = []*Route{
// Show dial listing when user has no dials.
{
Name: "Dial listing with data",
Path: "/dials-with-no-data",
Renderer: &html.DialIndexTemplate{
Dials: []*wtf.Dial{},
},
},
}
Then navigate to https://localhost:3001 and you'll see it displayed in the list.
By default, the SQLite tests run against in-memory databases. However, you can
specify the -dump
flag for the tests to write data out to temporary files. This
works best when running against a single test.
$ go test -run=MyTest -dump ./sqlite
DUMP=/tmp/sy9j7nks0zq2vr4s_nswrx8h0000gn/T/375403844/db
You can then inspect that database using the sqlite3
CLI to see its contents.
This application is built for educational purposes so additional functionality will likely be rejected. Please feel free to submit an issue if you're interested in seeing something added. Please do not simply submit a pull request.