dag

Compile-time, type-safe directed acyclic graphs.

Latest on Hackage:0.1.0.2

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BSD3 licensed and maintained by Athan Clark

This is a type-safe approach for a directed acyclic graph.

Edge construction is incremental, creating a "schema":

 import Data.Graph.DAG.Edge

 -- | Edges are statically defined:
 edges =
   ECons (Edge :: EdgeValue "foo" "bar") $
   ECons (Edge :: EdgeValue "bar" "baz") $
   ECons (Edge :: EdgeValue "foo" "baz")
   unique -- ENil, but casted for uniquely edged graphs

The nodes are separate from edges; graph may be not connected:

 data Cool = AllRight
           | Radical
           | SuperDuper

 nodes =
   nadd "foo" AllRight $
   nadd "bar" Radical $
   nadd "baz" SuperDuper $
   nempty

Some type tomfoolery:

 *Data.Graph.DAG> :t edges

 edges
   :: EdgeSchema
        '['EdgeType "foo" "bar", 'EdgeType "bar" "baz",
          'EdgeType "foo" "baz"] -- Type list of edges
        '['("foo", '["bar", "baz"]), '("bar", '["baz"])] -- potential loops
        'True -- uniqueness

 *Data.Graph.DAG> :t getSpanningTrees $ edges

 getSpanningTrees $ edges
   :: Data.Proxy.Proxy
        '['Node "foo" '['Node "bar" '['Node "baz" '[]]
                       ,'Node "baz" '[]]
         ,'Node "bar" '['Node "baz" '[]]
         ,'Node "baz" '[]]

 *Data.Graph.DAG> reflect $ getSpanningTrees $ edges

   [Node "foo" [Node "bar" [Node "baz" []]
               ,Node "baz" []]
   ,Node "bar" [Node "baz" []]
   ,Node "baz" []]

We can also look at the edges, first-class:

 *Data.Graph.DAG> fcEdges edges

   [("foo","bar"),("foo","baz"),("bar","baz")]

Note that a NodeSchema's keys don't have to be in-sync with it's paired EdgeSchema. After we have both, we can construct a DAG:

 graph = DAG edges nodes

Now we can do fun things, like get the spanning tree of a node:

 *Data.Graph.DAG> gtree "foo" graph

   Just (AllRight :@-> [Radical :@-> [SuperDuper :@-> []]
                       ,SuperDuper :@-> []])

This library is still very naive, but it will give us compile-time enforcement of acyclicity (and uniqueness) in these graphs - ideal for dependency graphs.

The main deficiency of this graph is that our EdgeSchema can't be deconstructed soundly - there is just too much information loss between the value and type levels. This means we can't delete edges or look inside, but we can still add edges or work with the resulting structure.

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