{-| Module : Gargantext.Database Description : BASHQL to deal with Gargantext Database. Copyright : (c) CNRS, 2017-Present License : AGPL + CECILL v3 Maintainer : team@gargantext.org Stability : experimental Portability : POSIX * BASHQL is a Domain Specific Language to deal with the Database * BASHQL = functional (Bash * SQL) * Which language to chose when working with a database ? To make it simple, instead of all common Object Relational Mapping (ORM) [1] strategy used nowadays inspired more by object logic than functional logic, the semantics of BASHQL with focus on the function first. * BASHQL focus on the function, i.e. use bash language function name, and make it with SQL behind the scene. Then BASHQL is inspired more by Bash language [2] than SQL and then follows its main commands as specification and documentation. * Main arguments: 1. Theoritical: database and FileSystems are each thought as a single category, assumption based on theoretical work on databases by David Spivak [0]. 2. Practical argument: basic bash commands are a daily practice among developper community. * How to help ? 1. Choose a command you like in Bash 2. Implement it in Haskell-SQL according to Gargantext Shema (Tree like filesystem) 3. Translate it in BASHQL (follow previous implementations) 4. Make a pull request (enjoy the community) * Implementation strategy: Functional adapations are made to the gargantext languages options and SQL optimization are done continuously during the project. For the Haskellish part, you may be inspired by Turtle implementation written by Gabriel Gonzales [3] which shows how to write Haskell bash translations. * Semantics - FileSystem is now a NodeSystem where each File is a Node in a Directed Graph (DG). * References [0] MIT Press has published "Category theory for the sciences". The book can also be purchased on Amazon. Here are reviews by the MAA, by the AMS, and by SIAM. [1] https://en.wikipedia.org/wiki/Object-relational_mapping [2] https://en.wikipedia.org/wiki/Bash_(Unix_shell) [3] https://github.com/Gabriel439/Haskell-Turtle-Library -} {-# LANGUAGE NoImplicitPrelude #-} module Gargantext.Database ( module Gargantext.Database.Utils , get , ls , ls' , home, home' , post, post' , del , del' , tree, tree' , postCorpus, postAnnuaire , Connection ) where import Gargantext.Core.Types import Gargantext.Database.Utils (connectGargandb) import Gargantext.Database.Node import Gargantext.Prelude import Database.PostgreSQL.Simple (Connection) import Data.Text (Text, pack) import Opaleye hiding (FromField) import Data.Aeson import Data.List (last, concat) --type UserId = Int --type NodeId = Int -- List of NodeId -- type PWD a = PWD UserId [a] type PWD = [NodeId] --data PWD' a = a | PWD' [a] -- | TODO get Children or Node get :: Connection -> PWD -> IO [Node Value] get _ [] = pure [] get conn pwd = runQuery conn $ selectNodesWithParentID (last pwd) -- | Home, need to filter with UserId home :: Connection -> IO PWD home c = map node_id <$> getNodesWithParentId c 0 Nothing -- | ls == get Children ls :: Connection -> PWD -> IO [Node Value] ls = get tree :: Connection -> PWD -> IO [Node Value] tree c p = do ns <- get c p children <- mapM (\p' -> get c [p']) $ map node_id ns pure $ ns <> (concat children) -- | TODO post :: Connection -> PWD -> [NodeWrite'] -> IO Int64 post _ [] _ = pure 0 post _ _ [] = pure 0 post c pth ns = mkNode c (last pth) ns --postR :: Connection -> PWD -> [NodeWrite'] -> IO [Int] --postR _ [] _ = pure [0] --postR _ _ [] = pure [0] --postR c pth ns = mkNodeR c (last pth) ns -- --rm :: Connection -> PWD -> [NodeId] -> IO Int --rm = del del :: Connection -> [NodeId] -> IO Int del _ [] = pure 0 del c ns = deleteNodes c ns -- | TODO --put :: Connection -> PWD -> [a] -> IO Int64 --put = undefined -- | TODO -- cd (Home UserId) | (Node NodeId) -- cd Path -- jump NodeId -- touch Dir -------------------------------------------------------------- -- Tests -------------------------------------------------------------- home' :: IO PWD home' = do c <- connectGargandb "gargantext.ini" home c ls' :: IO [Node Value] ls' = do c <- connectGargandb "gargantext.ini" h <- home c ls c h tree' :: IO [Node Value] tree' = do c <- connectGargandb "gargantext.ini" h <- home c tree c h post' :: IO [Int] post' = do c <- connectGargandb "gargantext.ini" pid <- last <$> home c let uid = 1 postNode c uid pid ( Node' NodeCorpus (pack "Premier corpus") (toJSON (pack "{}"::Text)) [ Node' Document (pack "Doc1") (toJSON (pack "{}" :: Text)) [] , Node' Document (pack "Doc2") (toJSON (pack "{}" :: Text)) [] , Node' Document (pack "Doc3") (toJSON (pack "{}" :: Text)) [] ] ) type CorpusName = Text -- | -- myCorpus <- Prelude.map doc2hyperdataDocument <$> toDocs <$> snd <$> readCsv "doc/corpus_imt/Gargantext_Corpus_small.csv" -- There is an error in the CSV parsing... -- let myCorpus' = Prelude.filter (\n -> T.length (maybe "" identity (hyperdataDocument_title n)) > 30) myCorpus postCorpus :: ToJSON a => CorpusName -> (a -> Text) -> [a] -> IO [Int] postCorpus corpusName title ns = do c <- connectGargandb "gargantext.ini" pid <- last <$> home c let uid = 1 postNode c uid pid ( Node' NodeCorpus corpusName (toJSON (pack "{}"::Text)) (map (\n -> Node' Document (title n) (toJSON n) []) ns) ) -- | -- import IMTClient as C -- postAnnuaire "Annuaire IMT" (\n -> (maybe "" identity (C.prenom n)) <> " " <> (maybe "" identity (C.nom n))) (take 30 annuaire) postAnnuaire :: ToJSON a => CorpusName -> (a -> Text) -> [a] -> IO [Int] postAnnuaire corpusName title ns = do c <- connectGargandb "gargantext.ini" pid <- last <$> home c let uid = 1 postNode c uid pid ( Node' Annuaire corpusName (toJSON (pack "{}"::Text)) (map (\n -> Node' UserPage (title n) (toJSON n) []) ns) ) del' :: [NodeId] -> IO Int del' ns = do c <- connectGargandb "gargantext.ini" del c ns