depinject
is a dependency injection framework for the Cosmos SDK. This module together with core/appconfig
are meant
to simplify the definition of a blockchain by replacing most of app.go's boilerplate code with a configuration file (YAML or JSON).
depinject
includes an expressive and composable Configuration API.
A core configuration is Provide
, for example this code snippet
package main
import (
"fmt"
"cosmossdk.io/depinject"
)
type AnotherInt int
func main() {
var (
x int
y AnotherInt
)
fmt.Printf("Before (%v, %v)\n", x, y)
depinject.Inject(
depinject.Provide(
func() int { return 1 },
func() AnotherInt { return AnotherInt(2) },
),
&x,
&y,
)
fmt.Printf("After (%v, %v)\n", x, y)
}
demonstrates the registration of free provider functions via the Provide
API. Provider functions form the basis of the
dependency tree, they are introspected then their inputs identified as dependencies and outputs as dependants, either for
another provider function or state stored outside the DI container, as is the case of &x
and &y
above.
depinject
supports interface types as inputs to provider functions. In the SDK's case this pattern is used to decouple
Keeper
dependencies between modules. For example x/bank
expects an AccountKeeper interface as input to provideModule.
Concretely SimApp
uses the implementation in x/auth
, but this design allows for this loose coupling to change.
Given the following types
package duck
type Duck interface {
quack()
}
type AlsoDuck interface {
quack()
}
type Mallard struct{}
type Canvasback struct{}
func (duck Mallard) quack() {}
func (duck Canvasback) quack() {}
type Pond struct {
Duck AlsoDuck
}
This usage
var pond Pond
depinject.Inject(
depinject.Provide(
func() Mallard { return Mallard{} },
func(duck Duck) Pond {
return Pond{Duck: duck}
}),
&pond)
results in an implicit binding of Duck
to Mallard
. This works because there is only one implementation of Duck
in the container. However, adding a second provider of Duck
will result in an error:
var pond Pond
depinject.Inject(
depinject.Provide(
func() Mallard { return Mallard{} },
func() Canvasback { return Canvasback{} },
func(duck Duck) Pond {
return Pond{Duck: duck}
}),
&pond)
A specific binding preference for Duck
is required.
In the above situation registering a binding for a given interface binding may look like
depinject.Inject(
depinject.Configs(
depinject.BindInterface(
"duck.Duck",
"duck.Mallard"),
depinject.Provide(
func() Mallard { return Mallard{} },
func() Canvasback { return Canvasback{} },
func(duck Duck) APond {
return Pond{Duck: duck}
})),
&pond)
Now depinject
has enough information to provide Mallard
as an input to APond
.
//go:embed app.yaml
var appConfigYaml []byte
var appConfig = appconfig.LoadYAML(appConfigYaml)
func NewSimApp(
logger log.Logger,
db dbm.DB,
traceStore io.Writer,
loadLatest bool,
appOpts servertypes.AppOptions,
baseAppOptions ...func(*baseapp.BaseApp),
) *SimApp {
var (
app = &SimApp{}
appBuilder *runtime.AppBuilder
)
err := depinject.Inject(AppConfig,
&appBuilder,
&app.ParamsKeeper,
&app.CapabilityKeeper,
&app.appCodec,
&app.legacyAmino,
&app.interfaceRegistry,
&app.AccountKeeper,
&app.BankKeeper,
&app.FeeGrantKeeper,
&app.StakingKeeper,
)
if err != nil {
panic(err)
}
...
Issues with resolving dependencies in the container can be done with logs
and Graphviz renderings of the container tree. By default, whenever there is an error, logs will
be printed to stderr and a rendering of the dependency graph in Graphviz DOT format will be saved to
debug_container.dot
.
Here is an example Graphviz rendering of a successful build of a dependency graph:
Rectangles represent functions, ovals represent types, rounded rectangles represent modules and the single hexagon
represents the function which called Build
. Black-colored shapes mark functions and types that were called/resolved
without an error. Gray-colored nodes mark functions and types that could have been called/resolved in the container but
were left unused.
Here is an example Graphviz rendering of a dependency graph build which failed:
Graphviz DOT files can be converted into SVG's for viewing in a web browser using the dot
command-line tool, ex:
> dot -Tsvg debug_container.dot > debug_container.svg
Many other tools including some IDEs support working with DOT files.