Sculpt: dependency graph extraction for Scala

Sculpt is a compiler plugin for analyzing the dependency structure of Scala source code.

Project status

This is unfinished, unmaintained software. We are releasing it as open source as a public service with the hopes the code will be useful to someone.

Sculpt is NOT supported under the Lightbend subscription.

Supported Scala versions are currently 2.13.x and 2.12.x.

What is it for?

The data generated by the plugin should be useful for all sorts of refactoring efforts, including carving a monolithic codebase into independent subprojects.

The plugin analyzes source code, not generated bytecode. The analysis code is based on code from the incremental compiler in sbt and zinc. Therefore, the plugin should be an accurate source of information for developers looking to reduce dependencies in order to reduce incremental compile times.

Building the plugin from source

sbt assembly will create target/scala-2.13/scala-sculpt_2.13-0.1.4.jar. (The JAR is a fat JAR that bundles its dependency on spray-json.)

Using the plugin

You can use the compiled plugin with the Scala compiler as follows.

Supposing you have scala-sculpt_2.13-0.1.4.jar in your current working directory,

Then you can do e.g.:

scalac -Xplugin:scala-sculpt_2.13-0.1.4.jar \
  -Xplugin-require:sculpt \
  -P:sculpt:out=dep.json \
  Dep.scala

Sample input and output

Assuming Dep.scala contains this source code:

object Dep1 { val x = 42; val y = Dep2.z }
object Dep2 { val z = Dep1.x }

then the command line shown above will generate this dep.json file:

[
  {"sym": ["o:Dep1"], "extends": ["pkt:scala", "tp:AnyRef"]},
  {"sym": ["o:Dep1", "def:<init>"], "uses": ["o:Dep1"]},
  {"sym": ["o:Dep1", "def:<init>"], "uses": ["pkt:java", "pkt:lang", "cl:Object", "def:<init>"]},
  {"sym": ["o:Dep1", "def:x"], "uses": ["o:Dep1", "t:x"]},
  {"sym": ["o:Dep1", "def:x"], "uses": ["pkt:scala", "cl:Int"]},
  {"sym": ["o:Dep1", "def:y"], "uses": ["o:Dep1", "t:y"]},
  {"sym": ["o:Dep1", "def:y"], "uses": ["pkt:scala", "cl:Int"]},
  {"sym": ["o:Dep1", "t:x"], "uses": ["pkt:scala", "cl:Int"]},
  {"sym": ["o:Dep1", "t:y"], "uses": ["o:Dep2", "def:z"]},
  {"sym": ["o:Dep1", "t:y"], "uses": ["ov:Dep2"]},
  {"sym": ["o:Dep1", "t:y"], "uses": ["pkt:scala", "cl:Int"]},
  {"sym": ["o:Dep2"], "extends": ["pkt:scala", "tp:AnyRef"]},
  {"sym": ["o:Dep2", "def:<init>"], "uses": ["o:Dep2"]},
  {"sym": ["o:Dep2", "def:<init>"], "uses": ["pkt:java", "pkt:lang", "cl:Object", "def:<init>"]},
  {"sym": ["o:Dep2", "def:z"], "uses": ["o:Dep2", "t:z"]},
  {"sym": ["o:Dep2", "def:z"], "uses": ["pkt:scala", "cl:Int"]},
  {"sym": ["o:Dep2", "t:z"], "uses": ["o:Dep1", "def:x"]},
  {"sym": ["o:Dep2", "t:z"], "uses": ["ov:Dep1"]},
  {"sym": ["o:Dep2", "t:z"], "uses": ["pkt:scala", "cl:Int"]}
]

Each line in the JSON file represents an edge between two symbols in a dependency graph.

The edges are of two types, extends and uses.

Each symbol is represented in the JSON as an array of strings, where each string represents a part of the symbol's fully qualified name.

So for example, in the above source code, we see that Dep1 extends scala.AnyRef:

{"sym": ["o:Dep1"], "extends": ["pkt:scala", "tp:AnyRef"]},

And we see that Dep1 uses scala.Int in three places:

{"sym": ["o:Dep1", "def:x"], "uses": ["pkt:scala", "cl:Int"]},
{"sym": ["o:Dep1", "def:y"], "uses": ["pkt:scala", "cl:Int"]},
{"sym": ["o:Dep1", "t:x"], "uses": ["pkt:scala", "cl:Int"]},

from this we see that scala.Int is used as the return type of Dep1.x and Dep1.y, and as the inferred type of the body of Dep1.y.

For brevity, the following abbreviations are used in the JSON output:

Terms

abbreviation	meaning
ov	object
def	def
var	var
mac	macro
pk	package
t	other term

Types

abbreviation	meaning
tr	trait
pkt	package
o	object
cl	class
tp	other type

Other

The name of a constructor is always <init>.

Running in "class mode"

The dependency information produced by the default mode is extremely fine-grained; it goes all the way down to the level of individual methods.

If you prefer an aggregated higher-level summary, you can run Sculpt in "class mode" by adding -P:sculpt:mode=class. So e.g. a complete invocation would look like:

scalac -Xplugin:scala-sculpt_2.13-0.1.4.jar \
  -Xplugin-require:sculpt \
  -P:sculpt:out=classes.json \
  -P:sculpt:mode=class \
  Dep.scala

on the same source code used in the example above, this command line generates this classes.json file:

[
  {"sym": ["o:Dep1"], "uses": ["o:Dep2"]},
  {"sym": ["o:Dep1"], "uses": ["pkt:java", "pkt:lang", "cl:Object"]},
  {"sym": ["o:Dep1"], "uses": ["pkt:scala", "cl:Int"]},
  {"sym": ["o:Dep1"], "uses": ["pkt:scala", "tp:AnyRef"]},
  {"sym": ["o:Dep2"], "uses": ["o:Dep1"]},
  {"sym": ["o:Dep2"], "uses": ["pkt:java", "pkt:lang", "cl:Object"]},
  {"sym": ["o:Dep2"], "uses": ["pkt:scala", "cl:Int"]},
  {"sym": ["o:Dep2"], "uses": ["pkt:scala", "tp:AnyRef"]}
]

Note that all of the nodes are top-level classes, traits, objects, or type aliases, and all of the edges are of type "uses".

-P:sculpt:mode=class is provided as a convenience, but it isn't strictly needed, in that if you have already run Sculpt in default mode, you can convert detailed dependencies to class-level dependencies in the course of an interactive session. This is demonstrated in the sample interactive session below.

Graphs represented as case classes

The same JAR that contains the plugin also contains a suite of case classes for representing the same information in the JSON files as Scala objects.

We provide a load method for parsing a JSON file into instances of these case classes, and a save method for writing the instances back out to JSON.

These classes provide a possible starting point for graph analysis and manipulation, e.g. in the REPL.

Sample interactive session

Now in a Scala REPL with the same JARs on the classpath:

scala -classpath scala-sculpt_2.13-0.1.4.jar

If we load dep.json as follows, we'll see the following graph:

scala> import com.lightbend.tools.sculpt.cmd._
import com.lightbend.tools.sculpt.cmd._

scala> load("dep.json")
res0: com.lightbend.tools.sculpt.model.Graph = Graph 'dep.json': 15 nodes, 19 edges

scala> println(res0.fullString)
Graph 'dep.json': 15 nodes, 19 edges
Nodes:
  - o:Dep1
  - pkt:scala.tp:AnyRef
  ...
Edges:
  - o:Dep1 -[Extends]-> pkt:scala.tp:AnyRef
  - o:Dep1.def:<init> -[Uses]-> o:Dep1
  ...

Converting to class-level dependencies

If we're interested in class-level dependencies only, we can call load with classMode = true in order to aggregate the dependencies after loading:

scala> load("dep.json", classMode = true)
res2: com.lightbend.tools.sculpt.model.Graph = Graph 'dep.json': 7 nodes, 10 edges

Cycles and layers reports

When untangling dependencies, circular dependencies are always especially problematic. We can identify these, list their contents, sort them by the total number of classes in the cycle, or print them grouped into layers according to their dependency structure.

The cycles and layers reports operate on class-level dependencies only, so you must either run the plugin in "class mode", or convert from default mode to class mode at load time:

Continuing the running example, here's a cycles report:

scala> import com.lightbend.tools.sculpt.model.Cycles

scala> println(Cycles.cyclesString(res2.nodes))
[2] o:Dep1 o:Dep2

The report shows that the codebase contains a single cycle of size 2, because Dep1 and Dep2 mutually reference each other. ("Cycles" of a single node are omitted.)

And here's the layers report for the same code:

scala> println(res2.layersString)
layers =
  """|[1] o:Dep1 o:Dep2
     |[0] cl:java.lang.Object
     |[0] cl:scala.Int
     |[0] tp:scala.AnyRef

The numbers are layer numbers, defined as follows:

layer 0: classes with no dependencies
layer 1: classes with only layer 0 dependencies
layer 2: classes with only layer 0 and 1 dependencies
...

Note that some concepts of layered architectures require that layer n accesses only layer n - 1 and not any lower layers; we are not making that assumption here.

Here's an example portion of a cycle report for a larger sample codebase:

[8] tr:api.Agent tr:api.AgentSet tr:api.Link tr:api.Observer tr:api.Patch tr:api.TrailDrawerInterface tr:api.Turtle tr:api.World
[5] cl:workspace.AbstractWorkspace cl:workspace.DefaultFileManager cl:workspace.Evaluator o:workspace.AbstractWorkspaceTraits o:workspace.Benchmarker
[4] cl:agent.HorizCylinder cl:agent.Torus cl:agent.VertCylinder o:agent.Topology
[3] cl:agent.AgentSet cl:agent.ArrayAgentSet o:agent.AgentSet

(The numbers are cycle sizes.)

And here's part of the layer report for the same codebase:

[14] o:org.nlogo.headless.Main
[14] o:org.nlogo.headless.Shell
[13] o:org.nlogo.compile.middle.FrontMiddleBridge
[13] o:org.nlogo.headless.HeadlessWorkspace
[13] o:org.nlogo.mirror.ModelRunIO
[12] o:org.nlogo.compile.back.BackEnd
[12] o:org.nlogo.compile.middle.MiddleEnd

showing just the topmost layers of the application.

Modifying the graph

We can explore the effect of removing edges from the graph using removePaths:

scala> res0.removePaths("Dep2", "java.lang")

scala> println(res0.fullString)
Graph 'dep.json': 9 nodes, 8 edges
Nodes:
  - o:Dep1
  - pkt:scala.tp:AnyRef
  - o:Dep1.def:<init>
  - o:Dep1.def:x
  - o:Dep1.t:x
  - pkt:scala.cl:Int
  - o:Dep1.def:y
  - o:Dep1.t:y
  - ov:Dep1
Edges:
  - o:Dep1 -[Extends]-> pkt:scala.tp:AnyRef
  - o:Dep1.def:<init> -[Uses]-> o:Dep1
  - o:Dep1.def:x -[Uses]-> o:Dep1.t:x
  - o:Dep1.def:x -[Uses]-> pkt:scala.cl:Int
  - o:Dep1.def:y -[Uses]-> o:Dep1.t:y
  - o:Dep1.def:y -[Uses]-> pkt:scala.cl:Int
  - o:Dep1.t:x -[Uses]-> pkt:scala.cl:Int
  - o:Dep1.t:y -[Uses]-> pkt:scala.cl:Int

Saving the graph back to a JSON model and loading it again:

scala> save(res0, "dep2.json")

scala> load("dep2.json")
res5: com.lightbend.tools.sculpt.model.Graph = Graph 'dep2.json': 8 nodes, 8 edges

scala> println(res5.fullString)
Graph 'dep2.json': 8 nodes, 8 edges
Nodes:
  - o:Dep1
  - pkt:scala.tp:AnyRef
  - o:Dep1.def:<init>
  - o:Dep1.def:x
  - o:Dep1.t:x
  - pkt:scala.cl:Int
  - o:Dep1.def:y
  - o:Dep1.t:y
Edges:
  - o:Dep1 -[Extends]-> pkt:scala.tp:AnyRef
  - o:Dep1.def:<init> -[Uses]-> o:Dep1
  - o:Dep1.def:x -[Uses]-> o:Dep1.t:x
  - o:Dep1.def:x -[Uses]-> pkt:scala.cl:Int
  - o:Dep1.def:y -[Uses]-> o:Dep1.t:y
  - o:Dep1.def:y -[Uses]-> pkt:scala.cl:Int
  - o:Dep1.t:x -[Uses]-> pkt:scala.cl:Int
  - o:Dep1.t:y -[Uses]-> pkt:scala.cl:Int

Future work

Possible future directions include:

aggregation of dependency data at higher "zoom levels" (per-package, per-source-file)
user interface (perhaps via IDE integration)
automatic identification of problematic dependencies
“what-if” analyses exploring the effect of proposed code changes
offer a means of declaring and enforcing desired architectural constraints (allowed and forbidden dependencies)

There are tickets on some of these at https://github.com/lightbend/scala-sculpt/issues .

Similar/related work

https://github.com/matanster/extractor
https://github.com/lihaoyi/acyclic
https://www.jetbrains.com/help/idea/dsm-analysis.html
http://classycle.sourceforge.net

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README.md

README.md

Sculpt: dependency graph extraction for Scala

Project status

What is it for?

Building the plugin from source

Using the plugin

Sample input and output

Terms

Types

Other

Running in "class mode"

Graphs represented as case classes

Sample interactive session

Converting to class-level dependencies

Cycles and layers reports

Modifying the graph

Future work

Similar/related work

Files

README.md

Latest commit

History

README.md

File metadata and controls

Sculpt: dependency graph extraction for Scala

Project status

What is it for?

Building the plugin from source

Using the plugin

Sample input and output

Terms

Types

Other

Running in "class mode"

Graphs represented as case classes

Sample interactive session

Converting to class-level dependencies

Cycles and layers reports

Modifying the graph

Future work

Similar/related work