Modules and Frames¶

Modules and Frames are lclang's main design. A Module stores immutable named definitions. A Frame gives those definitions concrete meaning for one run by supplying inputs, lookup, lazy snapshots, and lifecycle ownership.

Qualified names are the third major organizing concept. A definition such as service.database.port stays one flat Frame binding while service and service.database appear as lazy proxies over that same Frame. They organize policy without hidden child Frames or relative-name rules. See the scoped values tutorial for the complete progression and unnamed frame.evaluate expressions.

What you will learn¶

• why lclang separates reusable policy from per-run context;
• how dependencies evaluate regardless of declaration order;
• how to reuse one Module across different inputs;
• how parent and child Frames express controlled lookup hierarchy.

The philosophy: a strong form with room to create¶

lclang intentionally defines a strong way of working:

1. expressions are parsed into lclang's own immutable AST;
2. related definitions live in an immutable Module;
3. one short-lived Frame owns one evaluation context;
4. evaluation is lazy and async-first;
5. results are snapshots and cleanup is explicit.

That form is not meant to make every application identical. It provides strong flexibility within that way: you choose the definitions, dependency shapes, host values, sync or async functions, Frame hierarchy, configuration sources, and outputs. Unlike an API that exposes arbitrary hooks everywhere, lclang keeps creativity inside a model that remains inspectable and predictable.

definitions --parse once--> Module --combine with inputs--> Frame --get--> value
                                  reusable              one independent run

Define an invoice once¶

Definitions may refer forward or backward. Asking for label makes the Frame follow only the names required to calculate it.

import asyncio

from lclang.lang import define_frame, define_module


INVOICE = define_module(
    "invoice",
    {
        "label": 'f"{customer}: {currency} {total:.2f}"',
        "total": "subtotal - discount + shipping",
        "subtotal": "unit_price * quantity",
        "discount": "subtotal * discount_rate",
        "shipping": "0 if subtotal >= free_shipping_at else shipping_fee",
    },
)


async def price(customer: str, quantity: int) -> str:
    async with define_frame(
        INVOICE,
        preset={
            "customer": customer,
            "currency": "USD",
            "unit_price": 25,
            "quantity": quantity,
            "discount_rate": 0.10,
            "free_shipping_at": 100,
            "shipping_fee": 8,
        },
    ) as frame:
        value = await frame.get("label")
        assert isinstance(value, str)
        return value


async def main() -> None:
    assert await price("Ada", 2) == "Ada: USD 53.00"
    assert await price("Grace", 4) == "Grace: USD 90.00"


asyncio.run(main())

Ada's two items produce a 50 subtotal and a 5 discount. Because 50 is below the free-shipping threshold, the 8 fee makes the total 53. Grace's four items produce 100, a 10 discount, and free shipping, so her total is 90. The final label definition formats each independently cached result.

The Module is parsed once. Each price call creates a fresh Frame, so Ada and Grace never share cached values. Free shipping demonstrates flexibility inside the fixed model: policy chooses the branch, while the Frame still owns when and where it runs.

Reuse context with a controlled hierarchy¶

A child Frame searches its local definitions and values, then its parent. A definition always evaluates in the Frame that owns it. This prevents a child from silently changing the meaning of a parent-owned policy.

import asyncio

from lclang.lang import define_frame, define_module


ENVIRONMENT = define_module(
    "environment",
    {
        "region": '"eu-west"',
        "domain": 'f"{region}.example.com"',
    },
)
SERVICE = define_module(
    "service",
    {
        "endpoint": 'f"https://{service_name}.{domain}/{version}"',
        "description": 'f"{service_name} -> {endpoint}"',
    },
)


async def main() -> None:
    async with define_frame(ENVIRONMENT) as environment:
        async with environment.derive(
            SERVICE,
            values={"service_name": "billing", "version": "v2"},
        ) as service:
            assert await service.get("endpoint") == (
                "https://billing.eu-west.example.com/v2"
            )
            assert await service.get("description") == (
                "billing -> https://billing.eu-west.example.com/v2"
            )
            assert await service.get("timeout", fallback=15) == 15
            assert service.has("region")
            assert service.get_definition("region") is not None


asyncio.run(main())

The child owns endpoint, so it starts with its local service_name and version, then falls back to the parent-owned domain. That parent definition uses its own region to produce eu-west.example.com. description reuses the cached endpoint, while timeout returns 15 only because neither Frame defines that name.

The fallback is returned only because timeout is absent from the complete hierarchy. A failure inside an existing definition is never replaced by the fallback. has and get_definition inspect lookup without evaluating.

Ownership rules¶

• Reuse Modules; do not put request state in them.
• Create one Frame for each independent run or request.
• Use every owned Frame with async with.
• Treat a parent as borrowed; closing a child does not close its parent.
• Prefer define_frame for canonical builtins and namespaces.
• Use FrameFactory when construction policy itself should be reusable.

These rules create a stable skeleton. Within it, definitions may be simple arithmetic, rich collection transformations, async service decisions, date policy, or application-specific functions.

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