src/Gargantext/Core/Text/List.hs

   1 {-|
   2 Module      : Gargantext.Core.Text.Ngrams.Lists
   3 Description : Tools to build lists
   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 ScopedTypeVariables #-}
  13 {-# LANGUAGE TemplateHaskell     #-}
  14
  15 module Gargantext.Core.Text.List
  16   where
  17
  18 import Control.Lens hiding (both) -- ((^.), view, over, set, (_1), (_2))
  19 import Data.Map (Map)
  20 import Data.Monoid (mempty)
  21 import Data.Ord (Down(..))
  22 import Data.Set (Set)
  23 import Data.Text (Text)
  24 import Data.Tuple.Extra (both)
  25 import Gargantext.API.Ngrams.Types (NgramsElement, RepoCmdM, NgramsTerm(..))
  26 import Gargantext.Core.Text (size)
  27 import Gargantext.Core.Text.List.Group
  28 import Gargantext.Core.Text.List.Group.Prelude
  29 import Gargantext.Core.Text.List.Group.WithStem
  30 import Gargantext.Core.Text.List.Social
  31 import Gargantext.Core.Text.List.Social.Prelude
  32 import Gargantext.Core.Text.Metrics (scored', Scored(..), scored_speExc, scored_genInc, normalizeGlobal, normalizeLocal, scored_terms)
  33 import Gargantext.Core.Types (ListType(..), MasterCorpusId, UserCorpusId)
  34 import Gargantext.Core.Types.Individu (User(..))
  35 import Gargantext.Database.Action.Metrics.NgramsByNode (getNodesByNgramsUser, getNodesByNgramsOnlyUser)
  36 import Gargantext.Database.Action.Metrics.TFICF (getTficf)
  37 import Gargantext.Database.Admin.Types.Node (NodeId)
  38 import Gargantext.Database.Prelude (CmdM)
  39 import Gargantext.Database.Query.Table.Node (defaultList)
  40 import Gargantext.Database.Query.Table.Node.Error (HasNodeError())
  41 import Gargantext.Database.Query.Tree.Error (HasTreeError)
  42 import Gargantext.Database.Schema.Ngrams (NgramsType(..))
  43 import Gargantext.Prelude
  44 import qualified Data.List as List
  45 import qualified Data.Map  as Map
  46 import qualified Data.Set  as Set
  47
  48
  49 {-
  50 -- TODO maybe useful for later
  51 isStopTerm :: StopSize -> Text -> Bool
  52 isStopTerm (StopSize n) x = Text.length x < n || any isStopChar (Text.unpack x)
  53   where
  54     isStopChar c = not (c `elem` ("- /()%" :: [Char]) || Char.isAlpha c)
  55 -}
  56
  57
  58 -- | TODO improve grouping functions of Authors, Sources, Institutes..
  59 buildNgramsLists :: ( RepoCmdM env err m
  60                     , CmdM     env err m
  61                     , HasTreeError err
  62                     , HasNodeError err
  63                     )
  64                  => User
  65                  -> GroupParams
  66                  -> UserCorpusId
  67                  -> MasterCorpusId
  68                  -> m (Map NgramsType [NgramsElement])
  69 buildNgramsLists user gp uCid mCid = do
  70   ngTerms     <- buildNgramsTermsList user uCid mCid gp (NgramsTerms, MapListSize 350)
  71   othersTerms <- mapM (buildNgramsOthersList user uCid GroupIdentity)
  72                       [ (Authors   , MapListSize 9)
  73                       , (Sources   , MapListSize 9)
  74                       , (Institutes, MapListSize 9)
  75                       ]
  76
  77   pure $ Map.unions $ [ngTerms] <> othersTerms
  78
  79
  80 data MapListSize = MapListSize { unMapListSize :: !Int }
  81
  82 buildNgramsOthersList ::( HasNodeError err
  83                         , CmdM     env err m
  84                         , RepoCmdM env err m
  85                         , HasTreeError err
  86                         )
  87                         => User
  88                         -> UserCorpusId
  89                         -> GroupParams
  90                         -> (NgramsType, MapListSize)
  91                         -> m (Map NgramsType [NgramsElement])
  92 buildNgramsOthersList user uCid _groupParams (nt, MapListSize mapListSize) = do
  93   allTerms  :: Map Text (Set NodeId) <- getNodesByNgramsUser uCid nt
  94
  95   -- | PrivateFirst for first developments since Public NodeMode is not implemented yet
  96   socialLists :: FlowCont Text FlowListScores
  97     <- flowSocialList MySelfFirst user nt ( FlowCont Map.empty
  98                                                       $ Map.fromList
  99                                                       $ List.zip (Map.keys allTerms)
 100                                                                  (List.cycle [mempty])
 101                                            )
 102 {-
 103   if nt == Sources -- Authors
 104      then printDebug "flowSocialList" socialLists
 105      else printDebug "flowSocialList" ""
 106 -}
 107   let
 108     groupedWithList = toGroupedTree {- groupParams -} socialLists allTerms
 109 {-
 110   if nt == Sources -- Authors
 111      then printDebug "groupedWithList" groupedWithList
 112      else printDebug "groupedWithList" ""
 113 -}
 114
 115   let
 116     (stopTerms, tailTerms) = Map.partition ((== Just StopTerm) . viewListType)
 117                            $ view flc_scores groupedWithList
 118
 119     (mapTerms, tailTerms') = Map.partition ((== Just MapTerm)  . viewListType) tailTerms
 120
 121     listSize = mapListSize - (List.length mapTerms)
 122     (mapTerms', candiTerms) = both Map.fromList
 123                             $ List.splitAt listSize
 124                             $ List.sortOn (Down . viewScore . snd)
 125                             $ Map.toList tailTerms'
 126
 127   pure $ Map.fromList [( nt,  (toNgramsElement stopTerms)
 128                            <> (toNgramsElement mapTerms )
 129                            <> (toNgramsElement $ setListType (Just MapTerm      ) mapTerms' )
 130                            <> (toNgramsElement $ setListType (Just CandidateTerm) candiTerms)
 131                       )]
 132
 133
 134 -- TODO use ListIds
 135 buildNgramsTermsList :: ( HasNodeError err
 136                         , CmdM     env err m
 137                         , RepoCmdM env err m
 138                         , HasTreeError err
 139                         )
 140                         => User
 141                         -> UserCorpusId
 142                         -> MasterCorpusId
 143                         -> GroupParams
 144                         -> (NgramsType, MapListSize)
 145                         -> m (Map NgramsType [NgramsElement])
 146 buildNgramsTermsList user uCid mCid groupParams (nt, _mapListSize)= do
 147
 148 -- | Filter 0 With Double
 149 -- Computing global speGen score
 150   allTerms :: Map Text Double <- getTficf uCid mCid nt
 151
 152   -- | PrivateFirst for first developments since Public NodeMode is not implemented yet
 153   socialLists :: FlowCont Text FlowListScores
 154     <- flowSocialList MySelfFirst user nt ( FlowCont Map.empty
 155                                                       $ Map.fromList
 156                                                       $ List.zip (Map.keys   allTerms)
 157                                                                  (List.cycle [mempty])
 158                                            )
 159
 160   let socialLists_Stemmed = addScoreStem groupParams (Set.map NgramsTerm $ Map.keysSet allTerms) socialLists
 161   printDebug "socialLists_Stemmed" socialLists_Stemmed
 162   let groupedWithList = toGroupedTree {- groupParams -} socialLists_Stemmed allTerms
 163       (stopTerms, candidateTerms) = Map.partition ((== Just StopTerm) . viewListType)
 164                                   $ view flc_scores groupedWithList
 165
 166       (groupedMono, groupedMult)  = Map.partitionWithKey (\t _v -> size t < 2) candidateTerms
 167
 168   -- printDebug "stopTerms" stopTerms
 169
 170   -- splitting monterms and multiterms to take proportional candidates
 171   let
 172     -- use % of list if to big, or Int if too small
 173     listSizeGlobal = 2000 :: Double
 174     monoSize = 0.4  :: Double
 175     multSize = 1 - monoSize
 176
 177     splitAt n' ns = both (Map.fromListWith (<>))
 178                   $ List.splitAt (round $ n' * listSizeGlobal)
 179                   $ List.sortOn (viewScore . snd)
 180                   $ Map.toList ns
 181
 182     (groupedMonoHead, groupedMonoTail) = splitAt monoSize groupedMono
 183     (groupedMultHead, groupedMultTail) = splitAt multSize groupedMult
 184
 185 -------------------------
 186 -- Filter 1 With Set NodeId and SpeGen
 187     selectedTerms = Set.toList $ hasTerms (groupedMonoHead <> groupedMultHead)
 188
 189
 190  -- TO remove (and remove HasNodeError instance)
 191   userListId    <- defaultList uCid
 192   masterListId  <- defaultList mCid
 193
 194
 195   mapTextDocIds <- getNodesByNgramsOnlyUser uCid
 196                                             [userListId, masterListId]
 197                                             nt
 198                                             selectedTerms
 199
 200   let
 201     groupedTreeScores_SetNodeId :: Map Text (GroupedTreeScores (Set NodeId))
 202     groupedTreeScores_SetNodeId = setScoresWithMap mapTextDocIds (groupedMonoHead <> groupedMultHead)
 203
 204   -- | Coocurrences computation
 205   --, t1 >= t2 -- permute byAxis diag  -- since matrix symmetric
 206   let mapCooc = Map.filter (>2)
 207             $ Map.fromList [ ((t1, t2), Set.size $ Set.intersection s1 s2)
 208                            | (t1, s1) <- mapStemNodeIds
 209                            , (t2, s2) <- mapStemNodeIds
 210                            ]
 211           where
 212             mapStemNodeIds = Map.toList
 213                            $ Map.map viewScores
 214                            $ groupedTreeScores_SetNodeId
 215   let
 216     -- computing scores
 217     mapScores f = Map.fromList
 218                 $ map (\g -> (view scored_terms g, f g))
 219                 $ normalizeGlobal
 220                 $ map normalizeLocal
 221                 $ scored' mapCooc
 222
 223   let
 224     groupedTreeScores_SpeGen :: Map Text (GroupedTreeScores (Scored Text))
 225     groupedTreeScores_SpeGen = setScoresWithMap (mapScores identity)
 226                                                 (  groupedMonoHead
 227                                                 <> groupedMultHead
 228                                                 )
 229
 230   let
 231     -- sort / partition / split
 232     -- filter mono/multi again
 233     (monoScored, multScored) = Map.partitionWithKey (\t _v -> size t < 2) groupedTreeScores_SpeGen
 234
 235       -- filter with max score
 236     partitionWithMaxScore = Map.partition (\g -> (view scored_genInc $ view gts'_score g)
 237                                                > (view scored_speExc $ view gts'_score g)
 238                                           )
 239
 240     (monoScoredIncl, monoScoredExcl) = partitionWithMaxScore monoScored
 241     (multScoredIncl, multScoredExcl) = partitionWithMaxScore multScored
 242
 243   -- splitAt
 244   let
 245     -- use % of list if to big, or Int if to small
 246     listSizeLocal = 1000 :: Double
 247     inclSize = 0.4  :: Double
 248     exclSize = 1 - inclSize
 249
 250     splitAt' n' = (both (Map.fromList)) . (List.splitAt (round $ n' * listSizeLocal))
 251     sortOn   f  = (List.sortOn (Down . (view (gts'_score . f)) . snd)) . Map.toList
 252
 253
 254     monoInc_size = splitAt' $ monoSize * inclSize / 2
 255     (monoScoredInclHead, monoScoredInclTail) = monoInc_size $ (sortOn scored_genInc) monoScoredIncl
 256     (monoScoredExclHead, monoScoredExclTail) = monoInc_size $ (sortOn scored_speExc) monoScoredExcl
 257
 258     multExc_size = splitAt' $ multSize * exclSize / 2
 259     (multScoredInclHead, multScoredInclTail) = multExc_size $ (sortOn scored_genInc) multScoredIncl
 260     (multScoredExclHead, multScoredExclTail) = multExc_size $ (sortOn scored_speExc) multScoredExcl
 261
 262
 263 ------------------------------------------------------------
 264
 265     -- Final Step building the Typed list
 266     termListHead = maps <> cands
 267       where
 268         maps = setListType (Just MapTerm)
 269             $  monoScoredInclHead
 270             <> monoScoredExclHead
 271             <> multScoredInclHead
 272             <> multScoredExclHead
 273
 274         cands = setListType (Just CandidateTerm)
 275              $  monoScoredInclTail
 276              <> monoScoredExclTail
 277              <> multScoredInclTail
 278              <> multScoredExclTail
 279
 280     termListTail = (setListType (Just CandidateTerm)) (groupedMonoTail <> groupedMultTail)
 281
 282   let result = Map.unionsWith (<>)
 283        [ Map.fromList [( nt, toNgramsElement termListHead
 284                           <> toNgramsElement termListTail
 285                           <> toNgramsElement stopTerms
 286                       )]
 287        ]
 288
 289   -- printDebug "result" result
 290
 291   pure result