{-# 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