package ppx_python

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[@@deriving] plugin to generate Python conversion functions

Install

Dune Dependency

Authors

Maintainers

Sources

ppx_python-v0.13.0.tar.gz
sha256=c5af340fcea48a895d40ebca5af0584af8089afe22e835f1bcd96f0576fec2ed
md5=1693819df7db90947379382ea1f5545a

README.md.html

ppx_python

Generate functions to convert OCaml values to/from Python values.

ppx_python is a PPX syntax extension that generates code for converting OCaml types to and from Python. This uses the pyml OCaml bindings for Python to start a Python runtime, create the Python objects or analyze them.

Usage

Annotate the type with [@@deriving python] as in the following example.

let () =
  if not (Pyml.Py.is_initialized ())
  then Pyml.Py.initialize ~version:3 ()
;;

type int_pair = (int * int) [@@deriving python];;

This results in two functions being created automatically, python_of_int_pair and int_pair_of_python with the following types.

val python_of_int_pair: int_pair -> pyobject
val int_pair_of_python: pyobject -> int_pair

If only one direction is needed it is possible to write one of the following.

type int_pair = (int * int) [@@deriving python_of]
type int_pair = (int * int) [@@deriving of_python]

Python converters for primitive types such as int, float, bool, or string are automatically brought into scope.

It is also possible to construct converters based on type expressions as in the following example.

let pyobject = [%python_of: (int * string) list] [ 1, "one"; 2, "two" ];;

Stdio.printf "pyobject: %s\n" (Pyml.Py.Object.to_string pyobject);;

let list = [%of_python: (int * string) list] pyobject;;

Conversions

The conversion is straitghtforward for basic types such as int, float, bool, or string. unit is converted to None.

OCaml tuples are converted into Python tuples. OCaml lists and arrays are converted in Python lists.

For options, None is used on the Python side to represent the None case. Otherwise the value is directly available. Note that this makes ocaml values Some None and None indistinguisable on the Python side.

Records are represented using Python dictionaries which keys are strings. The [@python.default] attribute can be used on some of the fields: these fields are then optional on the Python side and if not present the default value gets used.

type t =
  { foo : int [@python.default 42]
  ; bar : float
  } [@@deriving python]

Variants don't have an idiomatic Python representation. They get converted to a pair where the first element is the constructor as a string and the second element is the content of the variant or None if this variant case does not embed any data.

Below are some more involved usage examples taken from the test suite.

type t =
  { field_a : int
  ; field_b : string
  }
[@@deriving python]

type u =
  { foo : int * int
  ; bar : t
  }
[@@deriving python]

type v =
  | A
  | B of string
  | C of int
  | D of t * string
  | E of
      { x : int
      ; y : string
      }
[@@deriving python]

type 'a w =
  | One of 'a
  | Multi of 'a list
[@@deriving python]

type 'a tree =
  | Leaf of 'a
  | Node of 'a tree * 'a tree
[@@deriving python]
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