cabal-version:      3.4
name:               dataframe-arrow-bridge
version:            1.0.0.0
synopsis:           Arrow C Data Interface bridge and plan IR for the dataframe ecosystem.

description:
    Zero-copy conversion between @DataFrame@ and the Arrow C Data
    Interface, plus the plan IR that the Python bindings and the
    @dataframe-arrow@ foreign library execute. Re-exports
    @DataFrame.IR.ExprJson@ from @dataframe-expr-serializer@ so
    consumers keep a single import.
    .
    Previously shipped as the @arrow-bridge@ public sublibrary of the
    @dataframe@ meta-package; it is a standalone package from 1.0.0.0 so
    that dependents resolve on Hackage.

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

source-repository head
  type:     git
  location: https://github.com/mchav/dataframe

common warnings
    ghc-options:
        -Wincomplete-patterns
        -Wincomplete-uni-patterns
        -Wunused-imports
        -Wunused-local-binds
        -Wunused-packages

library
    import:             warnings
    hs-source-dirs:     src
    exposed-modules:    DataFrame.IO.Arrow
                        DataFrame.IR
    -- The expr/pipeline JSON codec lives in its own lightweight package;
    -- re-export it so the Python FFI and Haskell consumers keep importing
    -- @DataFrame.IR.ExprJson@ unchanged.
    reexported-modules: DataFrame.IR.ExprJson
    build-depends:      base >= 4 && < 5,
                        aeson >= 0.11 && < 3,
                        bytestring >= 0.11 && < 0.14,
                        containers >= 0.6.7 && < 0.10,
                        dataframe-core >= 2.5 && < 2.6,
                        dataframe-csv >= 2.3 && < 2.4,
                        dataframe-expr-serializer >= 1.2.1 && < 1.3,
                        dataframe-json >= 1.2.0.1 && < 1.3,
                        dataframe-lazy >= 2.4.1 && < 2.5,
                        dataframe-operations >= 2.5 && < 2.6,
                        dataframe-parquet >= 1.5 && < 1.6,
                        dataframe-parsing >= 2.2 && < 2.3,
                        text >= 2.1 && < 3,
                        vector >= 0.13 && < 0.15
    default-language:   Haskell2010