Data.GraphViz.Types.Graph

graphviz-2999.18.1.2: Bindings to Graphviz for graph visualisation.

Copyright | (c) Ivan Lazar Miljenovic
License | 3-Clause BSD-style
Maintainer | Ivan.Miljenovic@gmail.com
Safe Haskell | None
Language | Haskell2010

Data.GraphViz.Types.Graph

Contents

- Conversions
- Graph information
- Graph construction
- Graph deconstruction

Description

It is sometimes useful to be able to manipulate a Dot graph as an actual graph. This representation lets you do so, using an inductive approach based upon that from FGL (note that `DotGraph` is not an instance of the FGL classes due to having the wrong kind). Note, however, that the API is not as complete as proper graph implementations.

For purposes of manipulation, all edges are found in the root graph and not in a cluster; as such, having `EdgeAttrs` in a cluster's `GlobalAttributes` is redundant.

Printing is achieved via Data.GraphViz.Types.Canonical (using `toCanonical`) and parsing via Data.GraphViz.Types.Generalised (so any piece of Dot code can be parsed in).

This representation doesn't allow non-cluster sub-graphs. Also, all clusters must have a unique identifier. For those functions (with the exception of `DotRepr` methods) that take or return a "`Maybe GraphID`", a value of "`Nothing`" refers to the root graph; "`Just clust`" refers to the cluster with the identifier "`clust`".

You would not typically explicitly create these values, instead converting existing Dot graphs (via `fromDotRepr`). However, one way of constructing the sample graph would be:

    setID (Str "G")
    . setStrictness False
    . setIsDirected True
    . setClusterAttributes (Int 0) [GraphAttrs [style filled, color LightGray, textLabel "process #1"], NodeAttrs [style filled, color White]]
    . setClusterAttributes (Int 1) [GraphAttrs [textLabel "process #2", color Blue], NodeAttrs [style filled]]
    $ composeList [ Cntxt "a0"    (Just $ Int 0)   []               [("a3",[]),("start",[])] [("a1",[])]
                  , Cntxt "a1"    (Just $ Int 0)   []               []                       [("a2",[]),("b3",[])]
                  , Cntxt "a2"    (Just $ Int 0)   []               []                       [("a3",[])]
                  , Cntxt "a3"    (Just $ Int 0)   []               [("b2",[])]              [("end",[])]
                  , Cntxt "b0"    (Just $ Int 1)   []               [("start",[])]           [("b1",[])]
                  , Cntxt "b1"    (Just $ Int 1)   []               []                       [("b2",[])]
                  , Cntxt "b2"    (Just $ Int 1)   []               []                       [("b3",[])]
                  , Cntxt "b3"    (Just $ Int 1)   []               []                       [("end",[])]
                  , Cntxt "end"   Nothing          [shape MSquare]  []                       []
                  , Cntxt "start" Nothing          [shape MDiamond] []                       []]

Synopsis

- data DotGraph n
- data GraphID
  - = Str Text
  - | Num Number
- data Context n = Cntxt {
  - node :: !n
  - inCluster :: !(Maybe GraphID)
  - attributes :: !Attributes
  - predecessors :: ![(n, Attributes)]
  - successors :: ![(n, Attributes)]
  }
- toCanonical :: DotGraph n -> DotGraph n
- unsafeFromCanonical :: Ord n => DotGraph n -> DotGraph n
- fromDotRepr :: DotRepr dg n => dg n -> DotGraph n
- isEmpty :: DotGraph n -> Bool
- hasClusters :: DotGraph n -> Bool
- isEmptyGraph :: DotGraph n -> Bool
- graphAttributes :: DotGraph n -> [GlobalAttributes]
- parentOf :: DotGraph n -> GraphID -> Maybe GraphID
- clusterAttributes :: DotGraph n -> GraphID -> [GlobalAttributes]
- foundInCluster :: Ord n => DotGraph n -> n -> Maybe GraphID
- attributesOf :: Ord n => DotGraph n -> n -> Attributes
- predecessorsOf :: Ord n => DotGraph n -> n -> [DotEdge n]
- successorsOf :: Ord n => DotGraph n -> n -> [DotEdge n]
- adjacentTo :: Ord n => DotGraph n -> n -> [DotEdge n]
- adjacent :: Context n -> [DotEdge n]
- mkGraph :: Ord n => [DotNode n] -> [DotEdge n] -> DotGraph n
- emptyGraph :: DotGraph n
- (&) :: Ord n => Context n -> DotGraph n -> DotGraph n
- composeList :: Ord n => [Context n] -> DotGraph n
- addNode :: Ord n => n -> Maybe GraphID -> Attributes -> DotGraph n -> DotGraph n
- data DotNode n = DotNode {
  - nodeID :: n
  - nodeAttributes :: Attributes
  }
- addDotNode :: Ord n => DotNode n -> DotGraph n -> DotGraph n
- addEdge :: Ord n => n -> n -> Attributes -> DotGraph n -> DotGraph n
- data DotEdge n = DotEdge {
  - fromNode :: n
  - toNode :: n
  - edgeAttributes :: Attributes
  }
- addDotEdge :: Ord n => DotEdge n -> DotGraph n -> DotGraph n
- addCluster :: GraphID -> Maybe GraphID -> [GlobalAttributes] -> DotGraph n -> DotGraph n
- setClusterParent :: GraphID -> Maybe GraphID -> DotGraph n -> DotGraph n
- setClusterAttributes :: GraphID -> [GlobalAttributes] -> DotGraph n -> DotGraph n
- decompose :: Ord n => n -> DotGraph n -> Maybe (Context n, DotGraph n)
- decomposeAny :: Ord n => DotGraph n -> Maybe (Context n, DotGraph n)
- decomposeList :: Ord n => DotGraph n -> [Context n]
- deleteNode :: Ord n => n -> DotGraph n -> DotGraph n
- deleteAllEdges :: Ord n => n -> n -> DotGraph n -> DotGraph n
- deleteEdge :: Ord n => n -> n -> Attributes -> DotGraph n -> DotGraph n
- deleteDotEdge :: Ord n => DotEdge n -> DotGraph n -> DotGraph n
- deleteCluster :: GraphID -> DotGraph n -> DotGraph n
- removeEmptyClusters :: DotGraph n -> DotGraph n

# Documentation

data DotGraph n #

A Dot graph that allows graph operations on it.

Instances

(Ord n, PrintDot n, ParseDot n) => PPDotRepr DotGraph n # |
(Ord n, ParseDot n) => ParseDotRepr DotGraph n # |
(Ord n, PrintDot n) => PrintDotRepr DotGraph n # |
Ord n => DotRepr DotGraph n # |
Methods fromCanonical :: DotGraph n -> DotGraph n # getID :: DotGraph n -> Maybe GraphID # setID :: GraphID -> DotGraph n -> DotGraph n # graphIsDirected :: DotGraph n -> Bool # setIsDirected :: Bool -> DotGraph n -> DotGraph n # graphIsStrict :: DotGraph n -> Bool # setStrictness :: Bool -> DotGraph n -> DotGraph n # mapDotGraph :: DotRepr DotGraph n' => (n -> n') -> DotGraph n -> DotGraph n' # graphStructureInformation :: DotGraph n -> (GlobalAttributes, ClusterLookup) # nodeInformation :: Bool -> DotGraph n -> NodeLookup n # edgeInformation :: Bool -> DotGraph n -> [DotEdge n] # unAnonymise :: DotGraph n -> DotGraph n #
Ord n => FromGeneralisedDot DotGraph n # |
Methods fromGeneralised :: DotGraph n -> DotGraph n #
Eq n => Eq (DotGraph n) # |
Methods (==) :: DotGraph n -> DotGraph n -> Bool # (/=) :: DotGraph n -> DotGraph n -> Bool #
Ord n => Ord (DotGraph n) # |
Methods compare :: DotGraph n -> DotGraph n -> Ordering # (<) :: DotGraph n -> DotGraph n -> Bool # (<=) :: DotGraph n -> DotGraph n -> Bool # (>) :: DotGraph n -> DotGraph n -> Bool # (>=) :: DotGraph n -> DotGraph n -> Bool # max :: DotGraph n -> DotGraph n -> DotGraph n # min :: DotGraph n -> DotGraph n -> DotGraph n #
(Ord n, Read n) => Read (DotGraph n) # | If the graph is the output from `show`, then it should be safe to substitute `unsafeFromCanonical` for `fromCanonical`.
Methods readsPrec :: Int -> ReadS (DotGraph n) # readList :: ReadS [DotGraph n] # readPrec :: ReadPrec (DotGraph n) # readListPrec :: ReadPrec [DotGraph n] #
Show n => Show (DotGraph n) # | It should be safe to substitute `unsafeFromCanonical` for `fromCanonical` in the output of this.
Methods showsPrec :: Int -> DotGraph n -> ShowS # show :: DotGraph n -> String # showList :: [DotGraph n] -> ShowS #
(Ord n, ParseDot n) => ParseDot (DotGraph n) # | Uses the ParseDot instance for generalised `DotGraph`s.
Methods parseUnqt :: Parse (DotGraph n) # parse :: Parse (DotGraph n) # parseUnqtList :: Parse [DotGraph n] # parseList :: Parse [DotGraph n] #
PrintDot n => PrintDot (DotGraph n) # | Uses the PrintDot instance for canonical `DotGraph`s.
Methods unqtDot :: DotGraph n -> DotCode # toDot :: DotGraph n -> DotCode # unqtListToDot :: [DotGraph n] -> DotCode # listToDot :: [DotGraph n] -> DotCode #

data GraphID #

A polymorphic type that covers all possible ID values allowed by Dot syntax. Note that whilst the `ParseDot` and `PrintDot` instances for `String` will properly take care of the special cases for numbers, they are treated differently here.

Constructors

Str Text |
Num Number |

Instances

Eq GraphID # |
Methods (==) :: GraphID -> GraphID -> Bool # (/=) :: GraphID -> GraphID -> Bool #
Ord GraphID # |
Methods compare :: GraphID -> GraphID -> Ordering # (<) :: GraphID -> GraphID -> Bool # (<=) :: GraphID -> GraphID -> Bool # (>) :: GraphID -> GraphID -> Bool # (>=) :: GraphID -> GraphID -> Bool # max :: GraphID -> GraphID -> GraphID # min :: GraphID -> GraphID -> GraphID #
Read GraphID # |
Methods readsPrec :: Int -> ReadS GraphID # readList :: ReadS [GraphID] # readPrec :: ReadPrec GraphID # readListPrec :: ReadPrec [GraphID] #
Show GraphID # |
Methods showsPrec :: Int -> GraphID -> ShowS # show :: GraphID -> String # showList :: [GraphID] -> ShowS #
ParseDot GraphID # |
Methods parseUnqt :: Parse GraphID # parse :: Parse GraphID # parseUnqtList :: Parse [GraphID] # parseList :: Parse [GraphID] #
PrintDot GraphID # |
Methods unqtDot :: GraphID -> DotCode # toDot :: GraphID -> DotCode # unqtListToDot :: [GraphID] -> DotCode # listToDot :: [GraphID] -> DotCode #

data Context n #

The decomposition of a node from a dot graph. Any loops should be found in `successors` rather than `predecessors`. Note also that these are created/consumed as if for directed graphs.

Constructors

Cntxt |
Fields node :: !n inCluster :: !(Maybe GraphID) The cluster this node can be found in; `Nothing` indicates the node can be found in the root graph. attributes :: !Attributes predecessors :: ![(n, Attributes)] successors :: ![(n, Attributes)]

Instances

Eq n => Eq (Context n) # |
Methods (==) :: Context n -> Context n -> Bool # (/=) :: Context n -> Context n -> Bool #
Ord n => Ord (Context n) # |
Methods compare :: Context n -> Context n -> Ordering # (<) :: Context n -> Context n -> Bool # (<=) :: Context n -> Context n -> Bool # (>) :: Context n -> Context n -> Bool # (>=) :: Context n -> Context n -> Bool # max :: Context n -> Context n -> Context n # min :: Context n -> Context n -> Context n #
Read n => Read (Context n) # |
Methods readsPrec :: Int -> ReadS (Context n) # readList :: ReadS [Context n] # readPrec :: ReadPrec (Context n) # readListPrec :: ReadPrec [Context n] #
Show n => Show (Context n) # |
Methods showsPrec :: Int -> Context n -> ShowS # show :: Context n -> String # showList :: [Context n] -> ShowS #

# Conversions

toCanonical :: DotGraph n -> DotGraph n #

Convert this DotGraph into canonical form. All edges are found in the outer graph rather than in clusters.

unsafeFromCanonical :: Ord n => DotGraph n -> DotGraph n #

Convert a canonical Dot graph to a graph-based one. This assumes that the canonical graph is the same format as returned by `toCanonical`. The "unsafeness" is that:

- All clusters must have a unique identifier (`unAnonymise` can be used to make sure all clusters have an identifier, but it doesn't ensure uniqueness).
- All nodes are assumed to be explicitly listed precisely once.
- Only edges found in the root graph are considered.

If this isn't the case, use `fromCanonical` instead.

The `graphToDot` function from Data.GraphViz produces output suitable for this function (assuming all clusters are provided with a unique identifier); `graphElemsToDot` is suitable if all nodes are specified in the input list (rather than just the edges).

fromDotRepr :: DotRepr dg n => dg n -> DotGraph n #

Convert any existing DotRepr instance to a `DotGraph`.

# Graph information

isEmpty :: DotGraph n -> Bool #

Does this graph have any nodes?

hasClusters :: DotGraph n -> Bool #

Does this graph have any clusters?

isEmptyGraph :: DotGraph n -> Bool #

Determine if this graph has nodes or clusters.

graphAttributes :: DotGraph n -> [GlobalAttributes] #

parentOf :: DotGraph n -> GraphID -> Maybe GraphID #

Which cluster (or the root graph) is this cluster in?

clusterAttributes :: DotGraph n -> GraphID -> [GlobalAttributes] #

foundInCluster :: Ord n => DotGraph n -> n -> Maybe GraphID #

Return the ID for the cluster the node is in.

attributesOf :: Ord n => DotGraph n -> n -> Attributes #

Return the attributes for the node.

predecessorsOf :: Ord n => DotGraph n -> n -> [DotEdge n] #

Predecessor edges for the specified node. For undirected graphs equivalent to `adjacentTo`.

successorsOf :: Ord n => DotGraph n -> n -> [DotEdge n] #

Successor edges for the specified node. For undirected graphs equivalent to `adjacentTo`.

adjacentTo :: Ord n => DotGraph n -> n -> [DotEdge n] #

All edges involving this node.

adjacent :: Context n -> [DotEdge n] #

# Graph construction

mkGraph :: Ord n => [DotNode n] -> [DotEdge n] -> DotGraph n #

Create a graph with no clusters.

emptyGraph :: DotGraph n #

(&) :: Ord n => Context n -> DotGraph n -> DotGraph n infixr 5 #

Merge the `Context` into the graph. Assumes that the specified node is not in the graph but that all endpoints in the `successors` and `predecessors` (with the exception of loops) are. If the cluster is not present in the graph, then it will be added with no attributes with a parent of the root graph.

Note that `&` and ``decompose`` are not quite inverses, as this function will add in the cluster if it does not yet exist in the graph, but `decompose` will not delete it.

composeList :: Ord n => [Context n] -> DotGraph n #

Recursively merge the list of contexts.

    composeList = foldr (&) emptyGraph

addNode #

Arguments

:: Ord n |
=> n |
-> Maybe GraphID | The cluster the node can be found in (`Nothing` refers to the root graph).
-> Attributes |
-> DotGraph n |
-> DotGraph n |

Add a node to the current graph. Throws an error if the node already exists in the graph.

If the specified cluster does not yet exist in the graph, then it will be added (as a sub-graph of the overall graph and no attributes).

data DotNode n #

A node in `DotGraph`.

Constructors

DotNode |
Fields nodeID :: n nodeAttributes :: Attributes

Instances

Functor DotNode # |
Methods fmap :: (a -> b) -> DotNode a -> DotNode b # (<$) :: a -> DotNode b -> DotNode a #
Eq n => Eq (DotNode n) # |
Methods (==) :: DotNode n -> DotNode n -> Bool # (/=) :: DotNode n -> DotNode n -> Bool #
Ord n => Ord (DotNode n) # |
Methods compare :: DotNode n -> DotNode n -> Ordering # (<) :: DotNode n -> DotNode n -> Bool # (<=) :: DotNode n -> DotNode n -> Bool # (>) :: DotNode n -> DotNode n -> Bool # (>=) :: DotNode n -> DotNode n -> Bool # max :: DotNode n -> DotNode n -> DotNode n # min :: DotNode n -> DotNode n -> DotNode n #
Read n => Read (DotNode n) # |
Methods readsPrec :: Int -> ReadS (DotNode n) # readList :: ReadS [DotNode n] # readPrec :: ReadPrec (DotNode n) # readListPrec :: ReadPrec [DotNode n] #
Show n => Show (DotNode n) # |
Methods showsPrec :: Int -> DotNode n -> ShowS # show :: DotNode n -> String # showList :: [DotNode n] -> ShowS #
ParseDot n => ParseDot (DotNode n) # |
Methods parseUnqt :: Parse (DotNode n) # parse :: Parse (DotNode n) # parseUnqtList :: Parse [DotNode n] # parseList :: Parse [DotNode n] #
PrintDot n => PrintDot (DotNode n) # |
Methods unqtDot :: DotNode n -> DotCode # toDot :: DotNode n -> DotCode # unqtListToDot :: [DotNode n] -> DotCode # listToDot :: [DotNode n] -> DotCode #

addDotNode :: Ord n => DotNode n -> DotGraph n -> DotGraph n #

A variant of `addNode` that takes in a DotNode (not in a cluster).

addEdge :: Ord n => n -> n -> Attributes -> DotGraph n -> DotGraph n #

Add the specified edge to the graph; assumes both node values are already present in the graph. If the graph is undirected then the order of nodes doesn't matter.

data DotEdge n #

An edge in `DotGraph`.

Constructors

DotEdge |
Fields fromNode :: n toNode :: n edgeAttributes :: Attributes

Instances

Functor DotEdge # |
Methods fmap :: (a -> b) -> DotEdge a -> DotEdge b # (<$) :: a -> DotEdge b -> DotEdge a #
Eq n => Eq (DotEdge n) # |
Methods (==) :: DotEdge n -> DotEdge n -> Bool # (/=) :: DotEdge n -> DotEdge n -> Bool #
Ord n => Ord (DotEdge n) # |
Methods compare :: DotEdge n -> DotEdge n -> Ordering # (<) :: DotEdge n -> DotEdge n -> Bool # (<=) :: DotEdge n -> DotEdge n -> Bool # (>) :: DotEdge n -> DotEdge n -> Bool # (>=) :: DotEdge n -> DotEdge n -> Bool # max :: DotEdge n -> DotEdge n -> DotEdge n # min :: DotEdge n -> DotEdge n -> DotEdge n #
Read n => Read (DotEdge n) # |
Methods readsPrec :: Int -> ReadS (DotEdge n) # readList :: ReadS [DotEdge n] # readPrec :: ReadPrec (DotEdge n) # readListPrec :: ReadPrec [DotEdge n] #
Show n => Show (DotEdge n) # |
Methods showsPrec :: Int -> DotEdge n -> ShowS # show :: DotEdge n -> String # showList :: [DotEdge n] -> ShowS #
ParseDot n => ParseDot (DotEdge n) # |
Methods parseUnqt :: Parse (DotEdge n) # parse :: Parse (DotEdge n) # parseUnqtList :: Parse [DotEdge n] # parseList :: Parse [DotEdge n] #
PrintDot n => PrintDot (DotEdge n) # |
Methods unqtDot :: DotEdge n -> DotCode # toDot :: DotEdge n -> DotCode # unqtListToDot :: [DotEdge n] -> DotCode # listToDot :: [DotEdge n] -> DotCode #

addDotEdge :: Ord n => DotEdge n -> DotGraph n -> DotGraph n #

A variant of `addEdge` that takes a `DotEdge` value.

addCluster #

Arguments

:: GraphID | The identifier for this cluster.
-> Maybe GraphID | The parent of this cluster (`Nothing` refers to the root graph)
-> [GlobalAttributes] |
-> DotGraph n |
-> DotGraph n |

Add a new cluster to the graph; throws an error if the cluster already exists. Assumes that it doesn't match the identifier of the overall graph. If the parent cluster doesn't already exist in the graph then it will be added.

setClusterParent :: GraphID -> Maybe GraphID -> DotGraph n -> DotGraph n #

Specify the parent of the cluster; adds both in if not already present.

setClusterAttributes :: GraphID -> [GlobalAttributes] -> DotGraph n -> DotGraph n #

Specify the attributes of the cluster; adds it if not already present.

# Graph deconstruction

decompose :: Ord n => n -> DotGraph n -> Maybe (Context n, DotGraph n) #

A partial inverse of ``&``, in that if a node exists in a graph then it will be decomposed, but will not remove the cluster that it was in even if it was the only node in that cluster.

decomposeAny :: Ord n => DotGraph n -> Maybe (Context n, DotGraph n) #

As with `decompose`, but do not specify which node to decompose.

decomposeList :: Ord n => DotGraph n -> [Context n] #

Recursively decompose the Dot graph into a list of contexts such that if `(c:cs) = decomposeList dg`, then `dg = c & `composeList` cs`.

Note that all global attributes are lost, so this is not suitable for representing a Dot graph on its own.

deleteNode :: Ord n => n -> DotGraph n -> DotGraph n #

Delete the specified node from the graph; returns the original graph if that node isn't present.

deleteAllEdges :: Ord n => n -> n -> DotGraph n -> DotGraph n #

Delete all edges between the two nodes; returns the original graph if there are no edges.

deleteEdge :: Ord n => n -> n -> Attributes -> DotGraph n -> DotGraph n #

Deletes the specified edge from the DotGraph (note: for unordered graphs both orientations are considered).

deleteDotEdge :: Ord n => DotEdge n -> DotGraph n -> DotGraph n #

As with `deleteEdge` but takes a `DotEdge` rather than individual values.

deleteCluster :: GraphID -> DotGraph n -> DotGraph n #

Delete the specified cluster, and makes any clusters or nodes within it be in its root cluster (or the overall graph if required).

removeEmptyClusters :: DotGraph n -> DotGraph n #

Remove clusters with no sub-clusters and no nodes within them.