cabal-version:      3.4
name:               dataframe-expr-serializer
version:            1.2.0.1
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 >= 2.2 && < 2.3,
                        dataframe-operations >= 2.2 && < 2.3,
                        text >= 2.1 && < 3,
                        vector >= 0.13 && < 0.15
    hs-source-dirs:     src
    default-language:   Haskell2010