src/Gargantext/Core/Viz/Phylo/PhyloMaker.hs

   1 {-|
   2 Module      : Gargantext.Core.Viz.Phylo.PhyloMaker
   3 Description : Maker engine for rebuilding a Phylo
   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 module Gargantext.Core.Viz.Phylo.PhyloMaker where
  12
  13 import Control.DeepSeq (NFData)
  14 import Control.Lens hiding (Level)
  15 import Control.Parallel.Strategies (parList, rdeepseq, using)
  16 import Data.List (concat, nub, partition, sort, (++), group, intersect, null, sortOn, groupBy, tail)
  17 import Data.Map (Map, fromListWith, keys, unionWith, fromList, empty, toList, elems, (!), restrictKeys, foldlWithKey, insert)
  18 import Data.Set (Set)
  19 import Data.Text (Text)
  20 import Data.Vector (Vector)
  21 import Debug.Trace (trace)
  22 import Prelude (floor)
  23
  24 import Gargantext.Core.Methods.Similarities (Similarity(Conditional))
  25 import Gargantext.Core.Methods.Graph.MaxClique (getMaxCliques)
  26 import Gargantext.Core.Text.Context (TermList)
  27 import Gargantext.Core.Text.Metrics.FrequentItemSet (fisWithSizePolyMap, fisWithSizePolyMap', Size(..))
  28 import Gargantext.Core.Viz.Phylo
  29 import Gargantext.Core.Viz.Phylo.PhyloExport (toHorizon)
  30 import Gargantext.Core.Viz.Phylo.PhyloTools
  31 import Gargantext.Core.Viz.Phylo.SynchronicClustering (synchronicClustering)
  32 import Gargantext.Core.Viz.Phylo.TemporalMatching (temporalMatching, getNextPeriods, filterDocs, filterDiago, reduceDiagos, toProximity)
  33 import Gargantext.Prelude
  34
  35 import qualified Data.Set as Set
  36 import qualified Data.Vector as Vector
  37
  38 ------------------
  39 -- | To Phylo | --
  40 ------------------
  41
  42 {-
  43 -- TODO AD
  44 data Phylo' = PhyloBase { _phylo'_phyloBase :: Phylo}
  45             | PhyloN    { _phylo'_flatPhylo :: Phylo}
  46
  47
  48 toPhylo' :: Phylo' -> [Document] -> TermList -> PhyloConfig -> Phylo
  49 toPhylo' (PhyloN    phylo) = toPhylo'
  50 toPhylo' (PhyloBase phylo) = toPhylo
  51 -}
  52
  53 -- TODO an adaptative synchronic clustering with a slider
  54
  55 toPhylo :: Phylo -> Phylo
  56 toPhylo phylowithoutLink = trace ("# flatPhylo groups " <> show(length $ getGroupsFromScale 1 flatPhylo))
  57                       $ traceToPhylo (phyloScale $ getConfig phylowithoutLink) $
  58     if (phyloScale $ getConfig phylowithoutLink) > 1
  59       then foldl' (\phylo' _ -> synchronicClustering phylo') phyloAncestors [2..(phyloScale $ getConfig phylowithoutLink)]
  60       else phyloAncestors
  61     where
  62         --------------------------------------
  63         phyloAncestors :: Phylo
  64         phyloAncestors =
  65             if (findAncestors $ getConfig phylowithoutLink)
  66               then toHorizon flatPhylo
  67               else flatPhylo
  68         --------------------------------------
  69         flatPhylo :: Phylo
  70         flatPhylo = addTemporalLinksToPhylo phylowithoutLink
  71         --------------------------------------
  72
  73
  74 -----------------------------
  75 -- | Create a flat Phylo | --
  76 -----------------------------
  77
  78 {-
  79 -- create an adaptative diachronic 'sea elevation' ladder
  80 -}
  81 adaptDiachronicLadder :: Double -> Set Double -> Set Double -> [Double]
  82 adaptDiachronicLadder curr similarities ladder =
  83   if curr <= 0 || Set.null similarities
  84     then Set.toList ladder
  85     else
  86       let idx = ((Set.size similarities) `div` (floor curr)) - 1
  87           thr = Set.elemAt idx similarities
  88       -- we use a sliding methods 1/10, then 1/9, then ... 1/2
  89       in adaptDiachronicLadder (curr -1) (Set.filter (> thr) similarities) (Set.insert thr ladder)
  90
  91
  92 {-
  93 -- create a constante diachronic 'sea elevation' ladder
  94 -}
  95 constDiachronicLadder :: Double -> Double -> Set Double -> [Double]
  96 constDiachronicLadder curr step ladder =
  97   if curr > 1
  98     then Set.toList ladder
  99     else constDiachronicLadder (curr + step) step (Set.insert curr ladder)
 100
 101
 102 {-
 103 -- process an initial scanning of the kinship links
 104 -}
 105 scanSimilarity :: Scale -> Phylo -> Phylo
 106 scanSimilarity lvl phylo =
 107   let proximity = phyloProximity $ getConfig phylo
 108       scanning  = foldlWithKey (\acc pId pds ->
 109                       -- 1) process period by period
 110                       let egos = map (\g -> (getGroupId g, g ^. phylo_groupNgrams))
 111                                $ elems
 112                                $ view ( phylo_periodScales
 113                                       . traverse . filtered (\phyloLvl -> phyloLvl ^. phylo_scaleScale == lvl)
 114                                       . phylo_scaleGroups ) pds
 115                           next    = getNextPeriods ToParents (getTimeFrame $ timeUnit $ getConfig phylo) pId (keys $ phylo ^. phylo_periods)
 116                           targets = map (\g ->  (getGroupId g, g ^. phylo_groupNgrams)) $ getGroupsFromScalePeriods lvl next phylo
 117                           docs    = filterDocs  (phylo ^. phylo_timeDocs) ([pId] ++ next)
 118                           diagos  = filterDiago (phylo ^. phylo_timeCooc) ([pId] ++ next)
 119                           -- 2) compute the pairs in parallel
 120                           pairs  = map (\(id,ngrams) ->
 121                                         map (\(id',ngrams') ->
 122                                             let nbDocs = (sum . elems) $ filterDocs docs    ([idToPrd id, idToPrd id'])
 123                                                 diago  = reduceDiagos  $ filterDiago diagos ([idToPrd id, idToPrd id'])
 124                                              in ((id,id'),toProximity nbDocs diago proximity ngrams ngrams' ngrams')
 125                                         ) $ filter (\(_,ngrams') -> (not . null) $ intersect ngrams ngrams') targets
 126                                  ) egos
 127                           pairs' = pairs `using` parList rdeepseq
 128                        in acc ++ (concat pairs')
 129                     ) [] $ phylo ^. phylo_periods
 130    in phylo & phylo_diaSimScan .~ Set.fromList (traceGroupsProxi $ map snd scanning)
 131
 132
 133
 134 appendGroups :: (a -> Period -> (Text,Text) -> Scale -> Int -> [Cooc] -> PhyloGroup) -> Scale -> Map (Date,Date) [a] -> Phylo -> Phylo
 135 appendGroups f lvl m phylo =  trace ("\n" <> "-- | Append " <> show (length $ concat $ elems m) <> " groups to Level " <> show (lvl) <> "\n")
 136     $ over ( phylo_periods
 137            .  traverse
 138            . phylo_periodScales
 139            .  traverse)
 140            (\phyloLvl -> if lvl == (phyloLvl ^. phylo_scaleScale)
 141                          then
 142                             let pId  = phyloLvl ^. phylo_scalePeriod
 143                                 pId' = phyloLvl ^. phylo_scalePeriodStr
 144                                 phyloCUnit = m ! pId
 145                             in  phyloLvl
 146                               & phylo_scaleGroups .~ (fromList $ foldl (\groups obj ->
 147                                     groups ++ [ (((pId,lvl),length groups)
 148                                               , f obj pId pId' lvl (length groups)
 149                                                   (elems $ restrictKeys (phylo ^. phylo_timeCooc) $ periodsToYears [pId]))
 150                                               ] ) [] phyloCUnit)
 151                          else
 152                             phyloLvl )
 153            phylo
 154
 155
 156 clusterToGroup :: Clustering -> Period -> (Text,Text) -> Scale ->  Int -> [Cooc] -> PhyloGroup
 157 clusterToGroup fis pId pId' lvl idx coocs = PhyloGroup pId pId' lvl idx ""
 158                    (fis ^. clustering_support )
 159                    (fis ^. clustering_visWeighting)
 160                    (fis ^. clustering_visFiltering)
 161                    (fis ^. clustering_roots)
 162                    (ngramsToCooc (fis ^. clustering_roots) coocs)
 163                    (1,[0]) -- branchid (lvl,[path in the branching tree])
 164                    (fromList [("breaks",[0]),("seaLevels",[0])])
 165                    [] [] [] [] [] [] []
 166
 167 {-
 168 -- enhance the phylo with temporal links
 169 -}
 170 addTemporalLinksToPhylo :: Phylo -> Phylo
 171 addTemporalLinksToPhylo phylowithoutLink = case strategy of
 172     Constante start gap -> temporalMatching (constDiachronicLadder start gap Set.empty) phylowithoutLink
 173     Adaptative steps    -> temporalMatching (adaptDiachronicLadder steps (phylowithoutLink ^. phylo_diaSimScan) Set.empty) phylowithoutLink
 174   where
 175     strategy :: SeaElevation
 176     strategy = getSeaElevation phylowithoutLink
 177
 178 -----------------------
 179 -- | To Phylo Step | --
 180 -----------------------
 181
 182
 183 indexDates' :: Map (Date,Date) [Document] -> Map (Date,Date) (Text,Text)
 184 indexDates' m = map (\docs ->
 185   let ds = map (\d -> date' d) docs
 186       f = if (null ds)
 187             then ""
 188             else toFstDate ds
 189       l = if (null ds)
 190             then ""
 191             else toLstDate ds
 192    in (f,l)) m
 193
 194
 195 -- To build the first phylo step from docs and terms
 196 -- QL: backend entre phyloBase et Clustering
 197 -- tophylowithoutLink
 198 toPhyloWithoutLink :: [Document] -> TermList -> PhyloConfig -> Phylo
 199 toPhyloWithoutLink docs lst conf = case (getSeaElevation phyloBase) of
 200     Constante  _ _ -> appendGroups clusterToGroup 1 seriesOfClustering (updatePeriods (indexDates' docs') phyloBase)
 201     Adaptative _   -> scanSimilarity 1
 202                     $ appendGroups clusterToGroup 1 seriesOfClustering (updatePeriods (indexDates' docs') phyloBase)
 203     where
 204         --------------------------------------
 205         seriesOfClustering :: Map (Date,Date) [Clustering]
 206         seriesOfClustering =  toSeriesOfClustering phyloBase docs'
 207         --------------------------------------
 208         docs' :: Map (Date,Date) [Document]
 209         -- QL: Time Consuming here
 210         docs' =  groupDocsByPeriodRec date (getPeriodIds phyloBase) (sortOn date docs) empty
 211         --------------------------------------
 212         phyloBase :: Phylo
 213         phyloBase = initPhylo docs lst conf
 214         --------------------------------------
 215
 216 ---------------------------
 217 -- | Frequent Item Set | --
 218 ---------------------------
 219
 220
 221 --  To apply a filter with the possibility of keeping some periods non empty (keep : True|False)
 222 filterClique :: Bool -> Int -> (Int -> [Clustering] -> [Clustering]) -> Map (Date, Date) [Clustering] -> Map (Date, Date) [Clustering]
 223 filterClique keep thr f m = case keep of
 224   False -> map (\l -> f thr l) m
 225   True  -> map (\l -> keepFilled (f) thr l) m
 226
 227
 228 --  To filter Fis with small Support
 229 filterCliqueBySupport :: Int -> [Clustering] -> [Clustering]
 230 filterCliqueBySupport thr l = filter (\clq -> (clq ^. clustering_support ) >= thr) l
 231
 232
 233 --  To filter Fis with small Clique size
 234 filterCliqueBySize :: Int -> [Clustering] -> [Clustering]
 235 filterCliqueBySize thr l = filter (\clq -> (length $ clq ^. clustering_roots) >= thr) l
 236
 237
 238 --  To filter nested Fis
 239 filterCliqueByNested :: Map (Date, Date) [Clustering] -> Map (Date, Date) [Clustering]
 240 filterCliqueByNested m =
 241   let clq  = map (\l ->
 242                 foldl (\mem f -> if (any (\f' -> isNested (f' ^. clustering_roots) (f ^. clustering_roots)) mem)
 243                                  then mem
 244                                  else
 245                                     let fMax = filter (\f' -> not $ isNested (f ^. clustering_roots) (f' ^. clustering_roots)) mem
 246                                     in  fMax ++ [f] ) [] l)
 247            $ elems m
 248       clq' = clq `using` parList rdeepseq
 249   in  fromList $ zip (keys m) clq'
 250
 251
 252 -- | To transform a time map of docs into a time map of Fis with some filters
 253 toSeriesOfClustering :: Phylo -> Map (Date, Date) [Document] -> Map (Date,Date) [Clustering]
 254 toSeriesOfClustering phylo phyloDocs = case (clique $ getConfig phylo) of
 255     Fis s s'    -> -- traceFis "Filtered Fis"
 256                    filterCliqueByNested
 257                  {- \$ traceFis "Filtered by clique size" -}
 258                  $ filterClique True s' (filterCliqueBySize)
 259                  {- \$ traceFis "Filtered by support" -}
 260                  $ filterClique True s (filterCliqueBySupport)
 261                  {- \$ traceFis "Unfiltered Fis" -}
 262                  seriesOfClustering
 263     MaxClique s _ _ -> filterClique True s (filterCliqueBySize)
 264                        seriesOfClustering
 265     where
 266         --------------------------------------
 267         seriesOfClustering :: Map (Date,Date) [Clustering]
 268         seriesOfClustering = case (clique $ getConfig phylo) of
 269           Fis _ _     ->
 270                       let fis  = map (\(prd,docs) ->
 271                                       case (corpusParser $ getConfig phylo) of
 272                                         Csv' _  -> let lst = toList
 273                                                                   $ fisWithSizePolyMap' (Segment 1 20) 1 (map (\d -> (ngramsToIdx (text d) (getRoots phylo), (weight d, (sourcesToIdx (sources d) (getSources phylo))))) docs)
 274                                                            in (prd, map (\f -> Clustering (Set.toList $ fst f) ((fst . snd) f) prd ((fst . snd . snd) f) (((snd . snd . snd) f))) lst)
 275                                         _  -> let lst = toList
 276                                                       $ fisWithSizePolyMap (Segment 1 20) 1 (map (\d -> ngramsToIdx (text d) (getRoots phylo)) docs)
 277                                               in (prd, map (\f -> Clustering (Set.toList $ fst f) (snd f) prd (Just $ fromIntegral $ snd f) []) lst)
 278                                       )
 279                                $ toList phyloDocs
 280                           fis' = fis `using` parList rdeepseq
 281                        in fromList fis'
 282           MaxClique _ thr filterType ->
 283                       let mcl  = map (\(prd,docs) ->
 284                                     let cooc = map round
 285                                              $ foldl sumCooc empty
 286                                              $ map listToMatrix
 287                                              $ map (\d -> ngramsToIdx (text d) (getRoots phylo)) docs
 288                                      in (prd, map (\cl -> Clustering cl 0 prd Nothing []) $ getMaxCliques filterType Conditional thr cooc))
 289                                $ toList phyloDocs
 290                           mcl' = mcl `using` parList rdeepseq
 291                        in fromList mcl'
 292         --------------------------------------
 293
 294         -- dev viz graph maxClique getMaxClique
 295
 296
 297 --------------------
 298 -- | Coocurency | --
 299 --------------------
 300
 301
 302 --  To transform the docs into a time map of coocurency matrix
 303 docsToTimeScaleCooc :: [Document] -> Vector Ngrams -> Map Date Cooc
 304 docsToTimeScaleCooc docs fdt =
 305     let mCooc  = fromListWith sumCooc
 306                $ map (\(_d,l) -> (_d, listToMatrix l))
 307                $ map (\doc -> (date doc, sort $ ngramsToIdx (text doc) fdt)) docs
 308         mCooc' = fromList
 309                $ map (\t -> (t,empty))
 310                $ toTimeScale (map date docs) 1
 311     in  trace ("\n" <> "-- | Build the coocurency matrix for " <> show (length $ keys mCooc') <> " unit of time" <> "\n")
 312        $ unionWith sumCooc mCooc mCooc'
 313
 314
 315 -----------------------
 316 -- | to Phylo Base | --
 317 -----------------------
 318 -- TODO anoe
 319 groupDocsByPeriodRec :: (NFData doc, Ord date, Enum date) => (doc -> date) -> [(date,date)] -> [doc] -> Map (date, date) [doc] -> Map (date, date) [doc]
 320 groupDocsByPeriodRec f prds docs acc =
 321     if ((null prds) || (null docs))
 322       then acc
 323       else
 324         let prd = head' "groupBy" prds
 325             docs' = partition (\d -> (f d >= fst prd) && (f d <= snd prd)) docs
 326          in groupDocsByPeriodRec f (tail prds) (snd docs') (insert prd (fst docs') acc)
 327
 328
 329 --  To group a list of Documents by fixed periods
 330 groupDocsByPeriod' :: (NFData doc, Ord date, Enum date) => (doc -> date) -> [(date,date)] -> [doc] -> Map (date, date) [doc]
 331 groupDocsByPeriod' f pds docs =
 332   let docs'    = groupBy (\d d' -> f d == f d') $ sortOn f docs
 333       periods  = map (inPeriode f docs') pds
 334       periods' = periods `using` parList rdeepseq
 335    in trace ("\n" <> "-- | Group " <> show(length docs) <> " docs by " <> show(length pds) <> " periods" <> "\n")
 336     $ fromList $ zip pds periods'
 337   where
 338     --------------------------------------
 339     inPeriode :: Ord b => (t -> b) -> [[t]] -> (b, b) -> [t]
 340     inPeriode f' h (start,end) =
 341       concat $ fst $ partition (\d -> f' (head' "inPeriode" d) >= start && f' (head' "inPeriode" d) <= end) h
 342
 343
 344
 345 --  To group a list of Documents by fixed periods
 346 groupDocsByPeriod :: (NFData doc, Ord date, Enum date) => (doc -> date) -> [(date,date)] -> [doc] -> Map (date, date) [doc]
 347 groupDocsByPeriod _ _   [] = panic "[ERR][Viz.Phylo.PhyloMaker] Empty [Documents] can not have any periods"
 348 groupDocsByPeriod f pds es =
 349   let periods  = map (inPeriode f es) pds
 350       periods' = periods `using` parList rdeepseq
 351
 352   in  trace ("\n" <> "-- | Group " <> show(length es) <> " docs by " <> show(length pds) <> " periods" <> "\n")
 353     $ fromList $ zip pds periods'
 354   where
 355     --------------------------------------
 356     inPeriode :: Ord b => (t -> b) -> [t] -> (b, b) -> [t]
 357     inPeriode f' h (start,end) =
 358       fst $ partition (\d -> f' d >= start && f' d <= end) h
 359     --------------------------------------
 360
 361
 362 docsToTermFreq :: [Document] -> Vector Ngrams -> Map Int Double
 363 docsToTermFreq docs fdt =
 364   let nbDocs = fromIntegral $ length docs
 365       freqs = map (/(nbDocs))
 366              $ fromList
 367              $ map (\lst -> (head' "docsToTermFreq" lst, fromIntegral $ length lst))
 368              $ group $ sort $ concat $ map (\d -> nub $ ngramsToIdx (text d) fdt) docs
 369       sumFreqs = sum $ elems freqs
 370    in map (/sumFreqs) freqs
 371
 372 docsToLastTermFreq :: Int -> [Document] -> Vector Ngrams -> Map Int Double
 373 docsToLastTermFreq n docs fdt =
 374   let last   = take n $ reverse $ sort $ map date docs
 375       nbDocs = fromIntegral $ length $ filter (\d -> elem (date d) last) docs
 376       freqs  = map (/(nbDocs))
 377              $ fromList
 378              $ map (\lst -> (head' "docsToLastTermFreq" lst, fromIntegral $ length lst))
 379              $ group $ sort $ concat $ map (\d -> nub $ ngramsToIdx (text d) fdt) $ filter (\d -> elem (date d) last) docs
 380       sumFreqs = sum $ elems freqs
 381    in map (/sumFreqs) freqs
 382
 383
 384 --  To count the number of docs by unit of time
 385 docsToTimeScaleNb :: [Document] -> Map Date Double
 386 docsToTimeScaleNb docs =
 387     let docs' = fromListWith (+) $ map (\d -> (date d,1)) docs
 388         time  = fromList $ map (\t -> (t,0)) $ toTimeScale (keys docs') 1
 389     in  trace ("\n" <> "-- | Group " <> show(length docs) <> " docs by " <> show(length time) <> " unit of time" <> "\n")
 390       $ unionWith (+) time docs'
 391
 392
 393 initPhyloScales :: Int -> Period -> Map PhyloScaleId PhyloScale
 394 initPhyloScales lvlMax pId =
 395     fromList $ map (\lvl -> ((pId,lvl),PhyloScale pId ("","") lvl empty)) [1..lvlMax]
 396
 397
 398
 399 --  Init the basic elements of a Phylo
 400 --
 401 initPhylo :: [Document] -> TermList -> PhyloConfig -> Phylo
 402 initPhylo docs lst conf =
 403     let foundations  = PhyloFoundations (Vector.fromList $ nub $ concat $ map text docs) lst
 404         docsSources  = PhyloSources     (Vector.fromList $ nub $ concat $ map sources docs)
 405         params = defaultPhyloParam { _phyloParam_config = conf }
 406         periods = toPeriods (sort $ nub $ map date docs) (getTimePeriod $ timeUnit conf) (getTimeStep $ timeUnit conf)
 407     in trace ("\n" <> "-- | Init a phylo out of " <> show(length docs) <> " docs \n")
 408        $ Phylo foundations
 409                docsSources
 410                (docsToTimeScaleCooc docs (foundations ^. foundations_roots))
 411                (docsToTimeScaleNb docs)
 412                (docsToTermFreq docs (foundations ^. foundations_roots))
 413                (docsToLastTermFreq (getTimePeriod $ timeUnit conf) docs (foundations ^. foundations_roots))
 414                Set.empty
 415                params
 416                (fromList $ map (\prd -> (prd, PhyloPeriod prd ("","") (initPhyloScales 1 prd))) periods)
 417                0