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{-|
Module : Gargantext.Database.Metrics.NgramsByNode
Description : Ngrams by Node user and master
Copyright : (c) CNRS, 2017-Present
License : AGPL + CECILL v3
Maintainer : team@gargantext.org
Stability : experimental
Portability : POSIX
Ngrams by node enable contextual metrics.
-}
{-# LANGUAGE QuasiQuotes #-}
module Gargantext.Database.Action.Metrics.NgramsByNode
where
import Data.Map.Strict (Map, fromListWith, elems, toList)
import Data.Map.Strict.Patch (PatchMap, Replace, diff)
import Data.Set (Set)
import Data.Text (Text)
import Data.Tuple.Extra (second, swap)
import Database.PostgreSQL.Simple.SqlQQ (sql)
import Database.PostgreSQL.Simple.Types (Values(..), QualifiedIdentifier(..))
import Debug.Trace (trace)
import qualified Data.List as List
import qualified Data.Map.Strict as Map
import qualified Data.Set as Set
import qualified Data.Text as Text
import qualified Database.PostgreSQL.Simple as DPS
import Gargantext.Core (Lang(..))
import Gargantext.Database.Admin.Config (nodeTypeId)
import Gargantext.Database.Admin.Types.Node -- (ListId, CorpusId, NodeId)
import Gargantext.Database.Prelude (Cmd, runPGSQuery)
import Gargantext.Database.Schema.Ngrams (ngramsTypeId, NgramsType(..))
import Gargantext.Prelude
import Gargantext.Core.Text.Terms.Mono.Stem (stem)
-- | TODO: group with 2 terms only can be
-- discussed. Main purpose of this is offering
-- a first grouping option to user and get some
-- enriched data to better learn and improve that algo
ngramsGroup :: Lang
-> Int
-> Int
-> Text
-> Text
ngramsGroup l _m _n = Text.intercalate " "
. map (stem l)
-- . take n
. List.sort
-- . (List.filter (\t -> Text.length t > m))
. Text.splitOn " "
. Text.replace "-" " "
-- | fst is size of Supra Corpus
-- snd is Texts and size of Occurrences (different docs)
countNodesByNgramsWith :: (Text -> Text)
-> Map Text (Set NodeId)
-> (Double, Map Text (Double, Set Text))
countNodesByNgramsWith f m = (total, m')
where
total = fromIntegral $ Set.size $ Set.unions $ elems m
m' = Map.map ( swap . second (fromIntegral . Set.size))
$ groupNodesByNgramsWith f m
groupNodesByNgramsWith :: (Text -> Text)
-> Map Text (Set NodeId)
-> Map Text (Set Text, Set NodeId)
groupNodesByNgramsWith f m =
fromListWith (<>) $ map (\(t,ns) -> (f t, (Set.singleton t, ns)))
$ toList m
------------------------------------------------------------------------
getNodesByNgramsUser :: CorpusId
-> NgramsType
-> Cmd err (Map Text (Set NodeId))
getNodesByNgramsUser cId nt =
fromListWith (<>) <$> map (\(n,t) -> (t, Set.singleton n))
<$> selectNgramsByNodeUser cId nt
where
selectNgramsByNodeUser :: CorpusId
-> NgramsType
-> Cmd err [(NodeId, Text)]
selectNgramsByNodeUser cId' nt' =
runPGSQuery queryNgramsByNodeUser
( cId'
, nodeTypeId NodeDocument
, ngramsTypeId nt'
-- , 100 :: Int -- limit
-- , 0 :: Int -- offset
)
queryNgramsByNodeUser :: DPS.Query
queryNgramsByNodeUser = [sql|
SELECT nng.node2_id, ng.terms FROM node_node_ngrams nng
JOIN ngrams ng ON nng.ngrams_id = ng.id
JOIN nodes_nodes nn ON nn.node2_id = nng.node2_id
JOIN nodes n ON nn.node2_id = n.id
WHERE nn.node1_id = ? -- CorpusId
AND n.typename = ? -- NodeTypeId
AND nng.ngrams_type = ? -- NgramsTypeId
AND nn.category > 0
GROUP BY nng.node2_id, ng.terms
ORDER BY (nng.node2_id, ng.terms) DESC
-- LIMIT ?
-- OFFSET ?
|]
------------------------------------------------------------------------
-- TODO add groups
getOccByNgramsOnlyFast :: CorpusId
-> NgramsType
-> [Text]
-> Cmd err (Map Text Int)
getOccByNgramsOnlyFast cId nt ngs =
fromListWith (+) <$> selectNgramsOccurrencesOnlyByNodeUser cId nt ngs
getOccByNgramsOnlyFast' :: CorpusId
-> ListId
-> NgramsType
-> [Text]
-> Cmd err (Map Text Int)
getOccByNgramsOnlyFast' cId lId nt tms = trace (show (cId, lId)) $
fromListWith (+) <$> map (second round) <$> run cId lId nt tms
where
fields = [QualifiedIdentifier Nothing "text"]
run :: CorpusId
-> ListId
-> NgramsType
-> [Text]
-> Cmd err [(Text, Double)]
run cId' lId' nt' tms' = runPGSQuery query
( Values fields (DPS.Only <$> tms')
, cId'
, lId'
, ngramsTypeId nt'
)
query :: DPS.Query
query = [sql|
WITH input_rows(terms) AS (?)
SELECT ng.terms, nng.weight FROM node_node_ngrams nng
JOIN ngrams ng ON nng.ngrams_id = ng.id
JOIN input_rows ir ON ir.terms = ng.terms
WHERE nng.node1_id = ? -- CorpusId
AND nng.node2_id = ? -- ListId
AND nng.ngrams_type = ? -- NgramsTypeId
-- AND nn.category > 0 -- TODO
GROUP BY ng.terms, nng.weight
|]
-- just slower than getOccByNgramsOnlyFast
getOccByNgramsOnlySlow :: NodeType
-> CorpusId
-> [ListId]
-> NgramsType
-> [Text]
-> Cmd err (Map Text Int)
getOccByNgramsOnlySlow t cId ls nt ngs =
Map.map Set.size <$> getScore' t cId ls nt ngs
where
getScore' NodeCorpus = getNodesByNgramsOnlyUser
getScore' NodeDocument = getNgramsByDocOnlyUser
getScore' _ = getNodesByNgramsOnlyUser
getOccByNgramsOnlySafe :: CorpusId
-> [ListId]
-> NgramsType
-> [Text]
-> Cmd err (Map Text Int)
getOccByNgramsOnlySafe cId ls nt ngs = do
printDebug "getOccByNgramsOnlySafe" (cId, nt, length ngs)
fast <- getOccByNgramsOnlyFast cId nt ngs
slow <- getOccByNgramsOnlySlow NodeCorpus cId ls nt ngs
when (fast /= slow) $
printDebug "getOccByNgramsOnlySafe: difference"
(diff slow fast :: PatchMap Text (Replace (Maybe Int)))
pure slow
selectNgramsOccurrencesOnlyByNodeUser :: CorpusId
-> NgramsType
-> [Text]
-> Cmd err [(Text, Int)]
selectNgramsOccurrencesOnlyByNodeUser cId nt tms =
runPGSQuery queryNgramsOccurrencesOnlyByNodeUser
( Values fields (DPS.Only <$> tms)
, cId
, nodeTypeId NodeDocument
, ngramsTypeId nt
)
where
fields = [QualifiedIdentifier Nothing "text"]
-- same as queryNgramsOnlyByNodeUser but using COUNT on the node ids.
-- Question: with the grouping is the result exactly the same (since Set NodeId for
-- equivalent ngrams intersections are not empty)
queryNgramsOccurrencesOnlyByNodeUser :: DPS.Query
queryNgramsOccurrencesOnlyByNodeUser = [sql|
WITH input_rows(terms) AS (?)
SELECT ng.terms, COUNT(nng.node2_id) FROM node_node_ngrams nng
JOIN ngrams ng ON nng.ngrams_id = ng.id
JOIN input_rows ir ON ir.terms = ng.terms
JOIN nodes_nodes nn ON nn.node2_id = nng.node2_id
JOIN nodes n ON nn.node2_id = n.id
WHERE nn.node1_id = ? -- CorpusId
AND n.typename = ? -- NodeTypeId
AND nng.ngrams_type = ? -- NgramsTypeId
AND nn.category > 0
GROUP BY nng.node2_id, ng.terms
|]
queryNgramsOccurrencesOnlyByNodeUser' :: DPS.Query
queryNgramsOccurrencesOnlyByNodeUser' = [sql|
WITH input_rows(terms) AS (?)
SELECT ng.terms, COUNT(nng.node2_id) FROM node_node_ngrams nng
JOIN ngrams ng ON nng.ngrams_id = ng.id
JOIN input_rows ir ON ir.terms = ng.terms
JOIN nodes_nodes nn ON nn.node2_id = nng.node2_id
JOIN nodes n ON nn.node2_id = n.id
WHERE nn.node1_id = ? -- CorpusId
AND n.typename = ? -- NodeTypeId
AND nng.ngrams_type = ? -- NgramsTypeId
AND nn.category > 0
GROUP BY nng.node2_id, ng.terms
|]
------------------------------------------------------------------------
getNodesByNgramsOnlyUser :: NodeId
-> [ListId]
-> NgramsType
-> [Text]
-> Cmd err (Map Text (Set NodeId))
getNodesByNgramsOnlyUser cId ls nt ngs =
Map.unionsWith (<>)
. map (fromListWith (<>)
. map (second Set.singleton))
<$> mapM (selectNgramsOnlyByNodeUser cId ls nt)
(splitEvery 1000 ngs)
getNgramsByNodeOnlyUser :: NodeId
-> [ListId]
-> NgramsType
-> [Text]
-> Cmd err (Map NodeId (Set Text))
getNgramsByNodeOnlyUser cId ls nt ngs =
Map.unionsWith (<>)
. map (fromListWith (<>)
. map (second Set.singleton))
. map (map swap)
<$> mapM (selectNgramsOnlyByNodeUser cId ls nt)
(splitEvery 1000 ngs)
------------------------------------------------------------------------
selectNgramsOnlyByNodeUser :: CorpusId
-> [ListId]
-> NgramsType
-> [Text]
-> Cmd err [(Text, NodeId)]
selectNgramsOnlyByNodeUser cId ls nt tms =
runPGSQuery queryNgramsOnlyByNodeUser
( Values fields (DPS.Only <$> tms)
, Values [QualifiedIdentifier Nothing "int4"]
(DPS.Only <$> (map (\(NodeId n) -> n) ls))
, cId
, nodeTypeId NodeDocument
, ngramsTypeId nt
)
where
fields = [QualifiedIdentifier Nothing "text"]
queryNgramsOnlyByNodeUser :: DPS.Query
queryNgramsOnlyByNodeUser = [sql|
WITH input_rows(terms) AS (?),
input_list(id) AS (?)
SELECT ng.terms, nng.node2_id FROM node_node_ngrams nng
JOIN ngrams ng ON nng.ngrams_id = ng.id
JOIN input_rows ir ON ir.terms = ng.terms
JOIN input_list il ON il.id = nng.node1_id
JOIN nodes_nodes nn ON nn.node2_id = nng.node2_id
JOIN nodes n ON nn.node2_id = n.id
WHERE nn.node1_id = ? -- CorpusId
AND n.typename = ? -- NodeTypeId
AND nng.ngrams_type = ? -- NgramsTypeId
AND nn.category > 0
GROUP BY ng.terms, nng.node2_id
|]
selectNgramsOnlyByNodeUser' :: CorpusId
-> [ListId]
-> NgramsType
-> [Text]
-> Cmd err [(Text, Int)]
selectNgramsOnlyByNodeUser' cId ls nt tms =
runPGSQuery queryNgramsOnlyByNodeUser
( Values fields (DPS.Only <$> tms)
, Values [QualifiedIdentifier Nothing "int4"]
(DPS.Only <$> (map (\(NodeId n) -> n) ls))
, cId
, nodeTypeId NodeDocument
, ngramsTypeId nt
)
where
fields = [QualifiedIdentifier Nothing "text"]
queryNgramsOnlyByNodeUser' :: DPS.Query
queryNgramsOnlyByNodeUser' = [sql|
WITH input_rows(terms) AS (?),
input_list(id) AS (?)
SELECT ng.terms, nng.weight FROM node_node_ngrams nng
JOIN ngrams ng ON nng.ngrams_id = ng.id
JOIN input_rows ir ON ir.terms = ng.terms
JOIN input_list il ON il.id = nng.node2_id
WHERE nng.node1_id = ? -- CorpusId
AND nng.ngrams_type = ? -- NgramsTypeId
-- AND nn.category > 0
GROUP BY ng.terms, nng.weight
|]
getNgramsByDocOnlyUser :: NodeId
-> [ListId]
-> NgramsType
-> [Text]
-> Cmd err (Map Text (Set NodeId))
getNgramsByDocOnlyUser cId ls nt ngs =
Map.unionsWith (<>)
. map (fromListWith (<>) . map (second Set.singleton))
<$> mapM (selectNgramsOnlyByDocUser cId ls nt) (splitEvery 1000 ngs)
selectNgramsOnlyByDocUser :: DocId
-> [ListId]
-> NgramsType
-> [Text]
-> Cmd err [(Text, NodeId)]
selectNgramsOnlyByDocUser dId ls nt tms =
runPGSQuery queryNgramsOnlyByDocUser
( Values fields (DPS.Only <$> tms)
, Values [QualifiedIdentifier Nothing "int4"]
(DPS.Only <$> (map (\(NodeId n) -> n) ls))
, dId
, ngramsTypeId nt
)
where
fields = [QualifiedIdentifier Nothing "text"]
queryNgramsOnlyByDocUser :: DPS.Query
queryNgramsOnlyByDocUser = [sql|
WITH input_rows(terms) AS (?),
input_list(id) AS (?)
SELECT ng.terms, nng.node2_id FROM node_node_ngrams nng
JOIN ngrams ng ON nng.ngrams_id = ng.id
JOIN input_rows ir ON ir.terms = ng.terms
JOIN input_list il ON il.id = nng.node1_id
WHERE nng.node2_id = ? -- DocId
AND nng.ngrams_type = ? -- NgramsTypeId
GROUP BY ng.terms, nng.node2_id
|]
------------------------------------------------------------------------
-- | TODO filter by language, database, any social field
getNodesByNgramsMaster :: UserCorpusId -> MasterCorpusId -> Cmd err (Map Text (Set NodeId))
getNodesByNgramsMaster ucId mcId = Map.unionsWith (<>)
. map (fromListWith (<>) . map (\(n,t) -> (t, Set.singleton n)))
-- . takeWhile (not . List.null)
-- . takeWhile (\l -> List.length l > 3)
<$> mapM (selectNgramsByNodeMaster 1000 ucId mcId) [0,500..10000]
selectNgramsByNodeMaster :: Int
-> UserCorpusId
-> MasterCorpusId
-> Int
-> Cmd err [(NodeId, Text)]
selectNgramsByNodeMaster n ucId mcId p = runPGSQuery
queryNgramsByNodeMaster'
( ucId
, ngramsTypeId NgramsTerms
, nodeTypeId NodeDocument
, p
, nodeTypeId NodeDocument
, p
, n
, mcId
, nodeTypeId NodeDocument
, ngramsTypeId NgramsTerms
)
-- | TODO fix node_node_ngrams relation
queryNgramsByNodeMaster' :: DPS.Query
queryNgramsByNodeMaster' = [sql|
WITH nodesByNgramsUser AS (
SELECT n.id, ng.terms FROM nodes n
JOIN nodes_nodes nn ON n.id = nn.node2_id
JOIN node_node_ngrams nng ON nng.node2_id = n.id
JOIN ngrams ng ON nng.ngrams_id = ng.id
WHERE nn.node1_id = ? -- UserCorpusId
-- AND n.typename = ? -- NodeTypeId
AND nng.ngrams_type = ? -- NgramsTypeId
AND nn.category > 0
AND node_pos(n.id,?) >= ?
AND node_pos(n.id,?) < ?
GROUP BY n.id, ng.terms
),
nodesByNgramsMaster AS (
SELECT n.id, ng.terms FROM nodes n TABLESAMPLE SYSTEM_ROWS(?)
JOIN node_node_ngrams nng ON n.id = nng.node2_id
JOIN ngrams ng ON ng.id = nng.ngrams_id
WHERE n.parent_id = ? -- Master Corpus NodeTypeId
AND n.typename = ? -- NodeTypeId
AND nng.ngrams_type = ? -- NgramsTypeId
GROUP BY n.id, ng.terms
)
SELECT m.id, m.terms FROM nodesByNgramsMaster m
RIGHT JOIN nodesByNgramsUser u ON u.id = m.id
|]