graphviz-2999.6.0.0: Data/GraphViz/Types/Clustering.hs
{-# OPTIONS_HADDOCK hide #-}
{- |
Module : Data.GraphViz.Types.Clustering
Description : Definition of the clustering types for GraphViz.
Copyright : (c) Matthew Sackman, Ivan Lazar Miljenovic
License : 3-Clause BSD-style
Maintainer : Ivan.Miljenovic@gmail.com
This module defines types for creating clusters.
-}
module Data.GraphViz.Types.Clustering
( NodeCluster(..)
, clustersToNodes
) where
import Data.GraphViz.Types
import Data.GraphViz.Attributes
import Data.Either(partitionEithers)
import Data.List(groupBy, sortBy)
import Data.Graph.Inductive.Graph(Graph, Node, LNode, labNodes)
-- -----------------------------------------------------------------------------
-- | Define into which cluster a particular node belongs.
-- Clusters can be nested to arbitrary depth.
data NodeCluster c a = N (LNode a) -- ^ Indicates the actual Node in the Graph.
| C c (NodeCluster c a) -- ^ Indicates that the
-- 'NodeCluster' is in
-- the Cluster /c/.
deriving (Show)
-- | Create the /Dot/ representation for the given graph.
clustersToNodes :: (Ord c, Graph gr) => (LNode a -> NodeCluster c l)
-> (c -> Maybe GraphID) -> (c -> [GlobalAttributes])
-> (LNode l -> Attributes) -> gr a b
-> ([DotSubGraph Node], [DotNode Node])
clustersToNodes clusterBy cID fmtCluster fmtNode
= treesToDot cID fmtCluster fmtNode
. collapseNClusts
. map (clustToTree . clusterBy)
. labNodes
-- -----------------------------------------------------------------------------
-- | A tree representation of a cluster.
data ClusterTree c a = NT (LNode a)
| CT c [ClusterTree c a]
deriving (Show)
-- | Convert a single node cluster into its tree representation.
clustToTree :: NodeCluster c a -> ClusterTree c a
clustToTree (N ln) = NT ln
clustToTree (C c nc) = CT c [clustToTree nc]
-- | Two nodes are in the same "default" cluster; otherwise check if they
-- are in the same cluster.
sameClust :: (Eq c) => ClusterTree c a -> ClusterTree c a -> Bool
sameClust (NT _) (NT _) = True
sameClust (CT c1 _) (CT c2 _) = c1 == c2
sameClust _ _ = False
-- | Singleton nodes come first, and then ordering based upon the cluster.
clustOrder :: (Ord c) => ClusterTree c a -> ClusterTree c a -> Ordering
clustOrder (NT _) (NT _) = EQ
clustOrder (NT _) (CT _ _) = LT
clustOrder (CT _ _) (NT _) = GT
clustOrder (CT c1 _) (CT c2 _) = compare c1 c2
-- | Extract the sub-trees.
getNodes :: ClusterTree c a -> [ClusterTree c a]
getNodes n@(NT _) = [n]
getNodes (CT _ ns) = ns
-- | Combine clusters.
collapseNClusts :: (Ord c) => [ClusterTree c a] -> [ClusterTree c a]
collapseNClusts = concatMap grpCls
. groupBy sameClust
. sortBy clustOrder
where
grpCls [] = []
grpCls ns@((NT _):_) = ns
grpCls cs@((CT c _):_) = [CT c (collapseNClusts $ concatMap getNodes cs)]
-- | Convert the cluster representation of the trees into 'DotNode's
-- and 'DotSubGraph's (with @'isCluster' = 'True'@, and
-- @'subGraphID' = 'Nothing'@).
treesToDot :: (c -> Maybe GraphID) -> (c -> [GlobalAttributes])
-> (LNode a -> Attributes) -> [ClusterTree c a]
-> ([DotSubGraph Node], [DotNode Node])
treesToDot cID fmtCluster fmtNode
= partitionEithers
. map (treeToDot cID fmtCluster fmtNode)
-- | Convert this 'ClusterTree' into its /Dot/ representation.
treeToDot :: (c -> Maybe GraphID) -> (c -> [GlobalAttributes])
-> (LNode a -> Attributes) -> ClusterTree c a
-> Either (DotSubGraph Node) (DotNode Node)
treeToDot _ _ fmtNode (NT ln)
= Right DotNode { nodeID = fst ln
, nodeAttributes = fmtNode ln
}
treeToDot cID fmtCluster fmtNode (CT c nts)
= Left DotSG { isCluster = True
, subGraphID = cID c
, subGraphStmts = stmts
}
where
stmts = DotStmts { attrStmts = fmtCluster c
, subGraphs = cs
, nodeStmts = ns
, edgeStmts = []
}
(cs, ns) = treesToDot cID fmtCluster fmtNode nts