Since tests are all written in terms of Go source, it makes tests easier to write. They still need to be arranged in a GOPATH for go build, but tests that just call Generate can operate in-place because I've faked the filesystem. Reviewed-by: Tuo Shan <shantuo@google.com> Reviewed-by: Herbie Ong <herbie@google.com>
goose: Compile-Time Dependency Injection for Go
goose is a compile-time dependency injection framework for Go, inspired by Dagger. It works by using Go code to specify dependencies, then generating code to create those structures, mimicking the code that a user might have hand-written.
Usage Guide
Defining Providers
The primary mechanism in goose is the provider: a function that can
produce a value, annotated with the special goose:provide directive. These
functions are otherwise ordinary Go code.
package foobarbaz
type Foo int
// goose:provide
// ProvideFoo returns a Foo.
func ProvideFoo() Foo {
return 42
}
Providers are always part of a provider set: if there is no provider set
named on the //goose:provide line, then the provider is added to the provider
set with the same name as the function (ProvideFoo, in this case).
Providers can specify dependencies with parameters:
package foobarbaz
type Bar int
// goose:provide SuperSet
// ProvideBar returns a Bar: a negative Foo.
func ProvideBar(foo Foo) Bar {
return Bar(-foo)
}
Providers can also return errors:
package foobarbaz
import (
"context"
"errors"
)
type Baz int
// goose:provide SuperSet
// ProvideBaz returns a value if Bar is not zero.
func ProvideBaz(ctx context.Context, bar Bar) (Baz, error) {
if bar == 0 {
return 0, errors.New("cannot provide baz when bar is zero")
}
return Baz(bar), nil
}
Provider sets can import other provider sets. To add the ProvideFoo set to
SuperSet:
// goose:import SuperSet ProvideFoo
You can also import provider sets in another package, provided that you have a Go import for the package:
// goose:import SuperSet "example.com/some/other/pkg".OtherSet
A provider set reference is an optional import qualifier (either a package name or a quoted import path, as seen above) ending with a dot, followed by the provider set name.
Injectors
An application wires up these providers with an injector: a function that calls providers in dependency order. With goose, you write the injector's signature, then goose generates the function's body.
An injector is declared by writing a function declaration without a body in a
file guarded by a gooseinject build tag. Let's say that the above providers
were defined in a package called example.com/foobarbaz. The following would
declare an injector to obtain a Baz:
//+build gooseinject
package main
import (
"context"
"example.com/foobarbaz"
)
// goose:use foobarbaz.SuperSet
func initializeApp(ctx context.Context) (foobarbaz.Baz, error)
Like providers, injectors can be parameterized on inputs (which then get sent to
providers) and can return errors. Each goose:use directive specifies a
provider set to use in the injection. An injector can have one or more
goose:use directives. goose:use directives use the same syntax as
goose:import to reference provider sets.
You can generate the injector by invoking goose in the package directory:
goose
Or you can add the line //go:generate goose to another file in your package to
use go generate:
go generate
(Adding the line to the injection declaration file will be silently ignored by
go generate.)
goose will produce an implementation of the injector in a file called
goose_gen.go that looks something like this:
// Code generated by goose. DO NOT EDIT.
//+build !gooseinject
package main
import (
"example.com/foobarbaz"
)
func initializeApp(ctx context.Context) (foobarbaz.Baz, error) {
foo := foobarbaz.ProvideFoo()
bar := foobarbaz.ProvideBar(foo)
baz, err := foobarbaz.ProvideBaz(ctx, bar)
if err != nil {
return 0, err
}
return baz, nil
}
As you can see, the output is very close to what a developer would write themselves. Further, there is no dependency on goose at runtime: all of the written code is just normal Go code, and can be used without goose.
Best Practices
goose is still not mature yet, but guidance that applies to Dagger generally applies to goose as well. In particular, when thinking about how to group providers into sets, follow the same guidance as Dagger (provider sets are called modules in Dagger/Guice):
Some [...] bindings will have reasonable alternatives, especially for testing, and others will not. For example, there are likely to be alternative bindings for a type like
AuthManager: one for testing, others for different authentication/authorization protocols.But on the other hand, if the
AuthManagerinterface has a method that returns the currently logged-in user, you might want to [export a provider ofUserthat simply callsCurrentUser()] on theAuthManager. That published binding is unlikely to ever need an alternative.Once you’ve classified your bindings into [...] bindings with reasonable alternatives [and] bindings without reasonable alternatives, consider arranging them into provider sets like this:
- One [provider set] for each [...] binding with a reasonable alternative. (If you are also writing the alternatives, each one gets its own [provider set].) That [provider set] contains exactly one provider.
- All [...] bindings with no reasonable alternatives go into [provider sets] organized along functional lines.
- The [provider sets] should each include the no-reasonable-alternative [provider sets] that require the [...] bindings each provides.
One goose-specific practice though: create one-off types where in Java you would use a binding annotation. For example, if you need to pass a string through the dependency graph, you would create a wrapping type:
type MySQLConnectionString string
Future Work
- The names of imports and provider results in the generated code are not actually as nice as shown above. I'd like to make them nicer in the common cases while ensuring uniqueness.
- Support for map bindings.
- Support for multiple provider outputs.
- Currently, all dependency satisfaction is done using identity. I'd like to use a limited form of assignability for interface types, but I'm unsure how well this implicit satisfaction will work in practice.