cabal-version: 3.4
name: dataframe-expr-serializer
version: 1.1.0.0
synopsis: Serialize and deserialize dataframe expressions and pipelines.
description:
Save fitted @Expr@ values and whole pipelines (ordered @[NamedExpr]@) to a
portable JSON form and reload them for inference — in another Haskell
process or from Python, sharing one wire format.
@DataFrame.Expr.Serialize@ is the format-agnostic public API (expression and
pipeline encode/decode plus file/bytes save-load helpers).
@DataFrame.IR.ExprJson@ is the low-level JSON wire codec — the cross-language
contract the Python bindings decode against.
Depends only on @dataframe-core@ and @dataframe-operations@ (both pure), so a
saved model can be loaded without the CSV/Parquet/Arrow stack.
bug-reports: https://github.com/mchav/dataframe/issues
license: MIT
license-file: LICENSE
author: Michael Chavinda
maintainer: mschavinda@gmail.com
copyright: (c) 2024-2026 Michael Chavinda
category: Data
tested-with: GHC ==9.4.8 || ==9.6.7 || ==9.8.4 || ==9.10.3 || ==9.12.2
common warnings
ghc-options:
-Wincomplete-patterns
-Wincomplete-uni-patterns
-Wunused-imports
-Wunused-local-binds
-Wunused-packages
library
import: warnings
exposed-modules: DataFrame.Expr.Serialize
DataFrame.IR.ExprJson
build-depends: base >= 4 && < 5,
aeson >= 0.11.0.0 && < 3,
bytestring >= 0.11 && < 0.14,
dataframe-core:internal >= 2.0 && < 2.1,
dataframe-operations >= 2.0 && < 2.1,
text >= 2.1 && < 3,
vector >= 0.13 && < 0.15
hs-source-dirs: src
default-language: Haskell2010