Depinject
DISCLAIMER: This is a beta package. The SDK team is actively working on this feature and we are looking for feedback from the community. Please try it out and let us know what you think.
Overview
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 (Go, YAML or JSON).
Usage
depinject
includes an expressive and composable Configuration API.
A core configuration function is Provide
. The example below demonstrates the registration of free provider functions via the Provide
API.
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)
}
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.
Interface type resolution
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.
BindInterface
API
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
.
Full example in real app
When using depinject.Inject
, the injected types must be pointers.
https://github.com/cosmos/cosmos-sdk/blob/v0.47.0-rc1/simapp/app_v2.go#L219-L244
Debugging
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.