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fix recursive matching
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1 {-|
2 Module : Gargantext.Viz.Graph.Tools
3 Description : Tools to build Graph
4 Copyright : (c) CNRS, 2017-Present
5 License : AGPL + CECILL v3
6 Maintainer : team@gargantext.org
7 Stability : experimental
8 Portability : POSIX
9
10 -}
11
12 {-# LANGUAGE NoImplicitPrelude #-}
13 {-# LANGUAGE OverloadedStrings #-}
14
15 module Gargantext.Viz.Graph.Tools
16 where
17
18 --import Debug.Trace (trace)
19 import Data.Graph.Clustering.Louvain.CplusPlus (LouvainNode(..))
20 import Data.Graph.Clustering.Louvain.CplusPlus (cLouvain)
21 import Data.Map (Map)
22 import Data.Text (Text)
23 import Gargantext.Prelude
24 import Gargantext.Core.Statistics
25 import Gargantext.Viz.Graph
26 import Gargantext.Viz.Graph.Bridgeness (bridgeness)
27 import Gargantext.Viz.Graph.Distances.Matrice (measureConditional)
28 import Gargantext.Viz.Graph.Index (createIndices, toIndex, map2mat, mat2map)
29 import Gargantext.Viz.Graph.IGraph (mkGraphUfromEdges)
30 import Gargantext.Viz.Graph.Proxemy (confluence)
31 import GHC.Float (sin, cos)
32 import qualified IGraph as Igraph
33 import qualified IGraph.Algorithms.Layout as Layout
34 import qualified Data.Vector.Storable as Vec
35 import qualified Data.Map as Map
36 import qualified Data.List as List
37
38 type Threshold = Int
39
40 cooc2graph :: Threshold -> (Map (Text, Text) Int) -> IO Graph
41 cooc2graph threshold myCooc = do
42 let (ti, _) = createIndices myCooc
43 myCooc' = toIndex ti myCooc
44 matCooc = map2mat (0) (Map.size ti) $ Map.filter (>threshold) myCooc'
45 distanceMat = measureConditional matCooc
46 distanceMap = Map.filter (>0.01) $ mat2map distanceMat
47
48 partitions <- case Map.size distanceMap > 0 of
49 True -> cLouvain distanceMap
50 False -> panic "Text.Flow: DistanceMap is empty"
51
52 let bridgeness' = bridgeness 300 partitions distanceMap
53 let confluence' = confluence (Map.keys bridgeness') 3 True False
54
55 data2graph (Map.toList ti) myCooc' bridgeness' confluence' partitions
56
57
58 ----------------------------------------------------------
59 -- | From data to Graph
60 data2graph :: [(Text, Int)] -> Map (Int, Int) Int
61 -> Map (Int, Int) Double
62 -> Map (Int, Int) Double
63 -> [LouvainNode]
64 -> IO Graph
65 data2graph labels coocs bridge conf partitions = do
66
67 let community_id_by_node_id = Map.fromList [ (n, c) | LouvainNode n c <- partitions ]
68
69 nodes <- mapM (setCoord ForceAtlas labels bridge)
70 [ (n, Node { node_size = maybe 0 identity (Map.lookup (n,n) coocs)
71 , node_type = Terms -- or Unknown
72 , node_id = cs (show n)
73 , node_label = l
74 , node_x_coord = 0
75 , node_y_coord = 0
76 , node_attributes =
77 Attributes { clust_default = maybe 0 identity
78 (Map.lookup n community_id_by_node_id) } }
79 )
80 | (l, n) <- labels
81 ]
82
83 let edges = [ Edge { edge_source = cs (show s)
84 , edge_target = cs (show t)
85 , edge_weight = d
86 , edge_confluence = maybe (panic "E: data2graph edges") identity $ Map.lookup (s,t) conf
87 , edge_id = cs (show i) }
88 | (i, ((s,t), d)) <- zip ([0..]::[Integer]) (Map.toList bridge) ]
89
90 pure $ Graph nodes edges Nothing
91
92 ------------------------------------------------------------------------
93
94 data Layout = KamadaKawai | ACP | ForceAtlas
95
96
97 setCoord' :: (Int -> (Double, Double)) -> (Int, Node) -> Node
98 setCoord' f (i,n) = n { node_x_coord = x, node_y_coord = y }
99 where
100 (x,y) = f i
101
102
103 -- | ACP
104 setCoord :: Ord a => Layout -> [(a, Int)] -> Map (Int, Int) Double -> (Int, Node) -> IO Node
105 setCoord l labels m (n,node) = getCoord l labels m n
106 >>= \(x,y) -> pure $ node { node_x_coord = x
107 , node_y_coord = y
108 }
109
110
111 getCoord :: Ord a => Layout
112 -> [(a, Int)] -> Map (Int, Int) Double -> Int -> IO (Double, Double)
113 getCoord KamadaKawai _ m n = layout m n
114
115 getCoord ForceAtlas _ _ n = pure (sin d, cos d)
116 where
117 d = fromIntegral n
118
119 getCoord ACP labels m n = pure $ to2d $ maybe (panic "Graph.Tools no coordinate") identity
120 $ Map.lookup n
121 $ pcaReduceTo (Dimension 2)
122 $ mapArray labels m
123 where
124 to2d :: Vec.Vector Double -> (Double, Double)
125 to2d v = (x',y')
126 where
127 ds = take 2 $ Vec.toList v
128 x' = head' "to2d" ds
129 y' = last' "to2d" ds
130
131 mapArray :: Ord a => [(a, Int)] -> Map (Int, Int) Double -> Map Int (Vec.Vector Double)
132 mapArray items m' = Map.fromList [ toVec n' ns m' | n' <- ns ]
133 where
134 ns = map snd items
135
136 toVec :: Int -> [Int] -> Map (Int,Int) Double -> (Int, Vec.Vector Double)
137 toVec n' ns' m' = (n', Vec.fromList $ map (\n'' -> maybe 0 identity $ Map.lookup (n',n'') m') ns')
138 ------------------------------------------------------------------------
139
140 -- | KamadaKawai Layout
141 -- TODO TEST: check labels, nodeId and coordinates
142 layout :: Map (Int, Int) Double -> Int -> IO (Double, Double)
143 layout m n = maybe (panic "") identity <$> Map.lookup n <$> coord
144 where
145 coord :: IO (Map Int (Double,Double))
146 coord = Map.fromList <$> List.zip (Igraph.nodes g) <$> (Layout.getLayout g p)
147 --p = Layout.defaultLGL
148 p = Layout.defaultKamadaKawai
149 g = mkGraphUfromEdges $ map fst $ List.filter (\e -> snd e > 0) $ Map.toList m
150