dataframe-json 1.2.0.2 → 1.2.1.0

raw patch · 2 files changed

+33/−2 lines, 2 filesdep ~dataframe-core

Dependency ranges changed: dataframe-core

Files

• dataframe-json.cabal +3/−2
• src/DataFrame/Typed/IO/JSON.hs +30/−0

@@ -1,6 +1,6 @@ cabal-version:      3.4 name:               dataframe-json-version:            1.2.0.2+version:            1.2.1.0 synopsis:           JSON reader and writer for the dataframe ecosystem. description:     @DataFrame.IO.JSON@ — read/write arrays of JSON objects as@@ -26,10 +26,11 @@ library     import:             warnings     exposed-modules:    DataFrame.IO.JSON+                        DataFrame.Typed.IO.JSON     build-depends:      base >= 4 && < 5,                         aeson >= 0.11.0.0 && < 3,                         bytestring >= 0.11 && < 0.14,-                        dataframe-core >= 2.6 && < 2.7,+                        dataframe-core >= 2.7 && < 2.8,                         scientific >= 0.3.1 && < 0.5,                         text >= 2.1 && < 3,                         vector >= 0.13 && < 0.15

@@ -0,0 +1,30 @@+{-# LANGUAGE ScopedTypeVariables #-}+{-# LANGUAGE TypeApplications #-}++-- | Typed JSON readers: decode, then validate against the schema.+module DataFrame.Typed.IO.JSON (+    readJSON,+    readJSONEither,+) where++import qualified Data.ByteString.Lazy as LBS+import qualified Data.Text as T++import qualified DataFrame.IO.JSON as JSON+import DataFrame.Typed.Freeze (freezeOrThrow, freezeWithError)+import DataFrame.Typed.Schema (KnownSchema)+import DataFrame.Typed.Types (TypedDataFrame)++-- | Read JSON into a typed frame (numbers decode as Maybe Double); throws.+readJSON ::+    forall cols. (KnownSchema cols) => FilePath -> IO (TypedDataFrame cols)+readJSON path = JSON.readJSON path >>= freezeOrThrow @cols++-- | Decode JSON bytes into a typed DataFrame, or explain the failure.+readJSONEither ::+    forall cols.+    (KnownSchema cols) =>+    LBS.ByteString -> Either String (TypedDataFrame cols)+readJSONEither bs = do+    df <- JSON.readJSONEither bs+    either (Left . T.unpack) Right (freezeWithError @cols df)