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skir-python-gen

v1.0.0

Published

[![npm](https://img.shields.io/npm/v/skir-python-gen)](https://www.npmjs.com/package/skir-python-gen) [![build](https://github.com/gepheum/skir-python-gen/workflows/Build/badge.svg)](https://github.com/gepheum/skir-python-gen/actions)

Readme

npm build

Skir's Python code generator

Official plugin for generating Python code from .skir files.

Targets Python 3.10 and higher.

Installation

From your project's root directory, run npm i --save-dev skir-python-gen.

In your skir.yml file, add the following snippet under generators:

  - mod: skir-python-gen
    config: {}

The npm run skir command will now generate .py files within the skirout directory.

For more information, see this Python project example.

Python generated code guide

The examples below are for the code generated from this .skir file.

Referring to generated symbols

# Import the given symbols from the Python module generated from "user.skir"
from skirout.user_skir import TARZAN, User, UserHistory, UserRegistry

Struct classes

For every struct S in the .skir file, skir generates a frozen (deeply immutable) class S and a mutable class S.Mutable.

Frozen struct classes

# To construct a frozen User, either call the User constructor or the
# User.partial() static factory method.

john = User(
    user_id=42,
    name="John Doe",
    quote="Coffee is just a socially acceptable form of rage.",
    pets=[
        User.Pet(
            name="Dumbo",
            height_in_meters=1.0,
            picture="🐘",
        ),
    ],
    subscription_status=User.SubscriptionStatus.FREE,
    # foo="bar",
    # Does not compile: 'foo' is not a field of User
)

assert john.name == "John Doe"

# Lists passed to the constructor or partial() are copied into tuples to ensure
# deep immutability.
assert isinstance(john.pets, tuple)

# Static type checkers will raise an error if you try to modify a frozen struct:
# john.name = "John Smith"

# With 'User.partial()', you don't need to specify all the fields of the struct.
jane = User.partial(
    user_id=43,
    name="Jane Doe",
)

# Missing fields are initialized to their default values.
assert jane.quote == ""

assert User.DEFAULT == User.partial()

Mutable struct classes

# User.Mutable is a mutable version of User.
lyla_mut = User.Mutable()
lyla_mut.user_id = 44
lyla_mut.name = "Lyla Doe"

# You can also set fields in the constructor.
joly_mut = User.Mutable(user_id=45)
joly_mut.name = "Joly Doe"

joly_history_mut = UserHistory.Mutable()
joly_history_mut.user = joly_mut
# ^ The right-hand side of the assignment can be either frozen or mutable.

# joly_history_mut.user.quote = "I am Joly."
# ^ Static error: quote is readonly because joly_history_mut.user may be frozen

# The mutable_user() property first checks if 'user' is already a mutable
# struct, and if so, returns it. Otherwise, it assigns to 'user' a mutable
# shallow copy of itself and returns it.
joly_history_mut.mutable_user.quote = "I am Joly."

# Similarly, mutable_pets() first checks if 'pets' is already a mutable array,
# and if so, returns it. Otherwise, it assigns to 'pets' a mutable shallow copy
# of itself and returns it.
lyla_mut.mutable_pets.append(User.Pet.partial(name="Cupcake"))
lyla_mut.mutable_pets.append(User.Pet.Mutable(name="Simba"))

Converting between frozen and mutable

# to_mutable() does a shallow copy of the frozen struct, so it's cheap. All the
# properties of the copy hold a frozen value.
evil_jane_mut = jane.to_mutable()
evil_jane_mut.name = "Evil Jane"

# to_frozen() recursively copies the mutable values held by properties of the
# object. It's cheap if all the values are frozen, like in this example.
evil_jane: User = evil_jane_mut.to_frozen()

# You can also call replace() on the frozen struct.
evil_jane = evil_jane.replace(name="Evil Jane")
# Same as:
#   evil_jane_mut = evil_jane.to_mutable()
#   evil_jane_mut.name = "Evil Jane"
#   evil_jane = evil_jane_mut.to_frozen()

assert evil_jane.user_id == 43

Writing logic agnostic of mutability

# 'User.OrMutable' is a type alias for 'User | User.Mutable'.
def greet(user: User.OrMutable):
    print(f"Hello, {user.name}")


greet(jane)
# Hello, Jane Doe
greet(lyla_mut)
# Hello, Lyla Doe

Enum classes

The definition of the SubscriptionStatus enum in the .skir file is:

enum SubscriptionStatus {
  FREE;
  trial: Trial;
  PREMIUM;
}

Making enum values

john_status = User.SubscriptionStatus.FREE
jane_status = User.SubscriptionStatus.PREMIUM

joly_status = User.SubscriptionStatus.UNKNOWN

# Use wrap_*() for data variants.
roni_status = User.SubscriptionStatus.wrap_trial(
    User.Trial(start_time=skir.Timestamp.from_unix_millis(1744974198000))
)

Conditions on enums

# Use e.kind == "CONSTANT_NAME" to check if the enum value is a constant.
assert john_status.kind == "FREE"
assert john_status.value is None

# Static type checkers will complain: "RED" not in the enum definition.
# assert jane_status.kind == "RED"

# Use "?" for UNKNOWN.
assert joly_status.kind == "?"

assert roni_status.kind == "trial"
assert isinstance(roni_status.value, User.Trial)


def get_subscription_info_text(status: User.SubscriptionStatus) -> str:
    # Use the union() getter for typesafe switches on enums.
    if status.union.kind == "?":
        return "Unknown subscription status"
    elif status.union.kind == "FREE":
        return "Free user"
    elif status.union.kind == "trial":
        # Here the compiler knows that the type of union.value is 'User.Trial'
        trial: User.Trial = status.union.value
        return f"On trial since {trial.start_time}"
    elif status.union.kind == "PREMIUM":
        return "Premium user"

    # Static type checkers will error if any case is missed.
    _: Never = status.union.kind
    raise AssertionError("Unreachable code")

Serialization

Every frozen struct class and enum class has a static readonly serializer property which can be used for serializing and deserializing instances of the class.

# Serialize 'john' to dense JSON.

serializer = User.serializer

print(serializer.to_json(john))
# [42, 'John Doe']

assert isinstance(serializer.to_json(john), list)

# to_json_code() returns a string containing the JSON code.
# Equivalent to calling json.dumps() on to_json()'s result.
print(serializer.to_json_code(john))
# [42,"John Doe"]

# Serialize 'john' to readable JSON.
print(serializer.to_json_code(john, readable=True))
# {
#   "user_id": 42,
#   "name": "John Doe"
# }

# The dense JSON flavor is the flavor you should pick if you intend to
# deserialize the value in the future. Skir allows fields to be renamed, and
# because fields names are not part of the dense JSON, renaming a field does
# not prevent you from deserializing the value.
# You should pick the readable flavor mostly for debugging purposes.

Deserialization

# Use from_json() and from_json_code() to deserialize.

assert john == serializer.from_json(serializer.to_json(john))

assert john == serializer.from_json_code(serializer.to_json_code(john))

# Also works with readable JSON.
assert john == serializer.from_json_code(  #
    serializer.to_json_code(john, readable=True)
)

Keyed arrays

user_registry = UserRegistry(users=[john, jane, lyla_mut])

# 'user_registry.users' is an instance of a subclass of tuple[User, ...] which
# has methods for finding items by key.

assert user_registry.users.find(42) == john
assert user_registry.users.find(100) is None

assert user_registry.users.find_or_default(42).name == "John Doe"
assert user_registry.users.find_or_default(100).name == ""

# The first lookup runs in O(N) time, and the following lookups run in O(1)
# time.

Constants

print(TARZAN)
# User(
#   user_id=123,
#   name='Tarzan',
#   quote='AAAAaAaAaAyAAAAaAaAaAyAAAAaAaAaA',
#   pets=[
#     User.Pet(
#       name='Cheeta',
#       height_in_meters=1.67,
#       picture='🐒',
#     ),
#   ],
#   subscription_status=User.SubscriptionStatus.wrap_trial(
#     User.Trial(
#       start_time=Timestamp(
#         unix_millis=1743592409000,
#         _formatted='2025-04-02T11:13:29Z',
#       ),
#     )
#   ),
# )

Skir services

Starting a skir service on an HTTP server

Full example here.

Sending RPCs to a skir service

Full example here.

Reflection

Reflection allows you to inspect a skir type at runtime.

field_names: list[str] = []

user_type_descriptor = User.serializer.type_descriptor

# 'user_type_descriptor' has information about User and all the types it
# depends on.

print(user_type_descriptor.as_json_code())
# {
#   "type": {
#     "kind": "record",
#     "value": "user.skir:User"
#   },
#   "records": [
#     {
#       "kind": "struct",
#       "id": "user.skir:User",
#       "fields": [
#         {
#           "name": "user_id",
#           "type": {
#             "kind": "primitive",
#             "value": "int64"
#           },
#           "number": 0
#         },
#          ...
#         {
#           "name": "pets",
#           "type": {
#             "kind": "array",
#             "value": {
#               "item": {
#                 "kind": "record",
#                 "value": "user.skir:User.Pet"
#               }
#             }
#           },
#           "number": 3
#         },
#         ...
#       ]
#     },
#     {
#       "kind": "struct",
#       "id": "user.skir:User.Pet",
#       ...
#     },
#     ...
#   ]
# }

# A TypeDescriptor can be serialized and deserialized.
assert user_type_descriptor == skir.reflection.TypeDescriptor.from_json_code(
    user_type_descriptor.as_json_code()
)