ludic/runtime/native/reflect_io.ludic
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feat(reflect): generic value tree + Reflect.serialize/apply + JSON bridge (#44)
A self-describing Value node (null/int/fixed/bool/str/list/object) with
constructors, builders (Value.add/put) and accessors (get/at/count/kind/
as_int/as_str/…). Reflect.serialize(entity) walks an entity's whole component
set into a value tree — one member per component, each a sub-object of its
fields — and Reflect.apply(entity, value) writes one back; a fixed field
becomes a fixed node, everything else an int node, so the round-trip is
bit-exact, with the model id under "@kind". Json.encode/parse bridge the tree
to and from compact, stable, diffable text, with fixed written as an exact
terminating decimal that parses back bit-for-bit (verified across the raw
Q16.16 range). Together: a one-call, bit-exact save/load for entities.

Written in Ludic and spliced on demand (runtime/native/value.ludic +
reflect_io.ludic, like Query/Light), so a program that doesn't touch
Value.*/Json.*/Reflect.serialize compiles byte-identically and the C-free
bootstrap fixpoint holds (verified). The general tagged-union/any language type
stays tracked in #1; this ships the concrete value tree the serializer needs.

Adds 21 namespace-method docs pages + Value/Json sections,
examples/library/serialize.ludic, and a regression case. Whole CI set green:
x test 72/72, x test-tools 30/30, check-impl/vocabulary/docs.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-08-31 15:19:21 +03:00

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# ============================================================================
# reflect_io.ludic — Reflect.serialize / Reflect.apply, in Ludic. One call walks
# an entity's whole component set into a generic value tree (value.ludic), and
# its inverse writes a value tree's fields back into a live entity. Together with
# Json.* this is a one-call save/load and the backbone of tooling (debug
# inspectors, network snapshots as text).
#
# It stands on the reflection ABI (world_* builtins — the EV2/EV8 world table)
# and the value tree, so ludicc force-emits the world table and splices value.ludic
# whenever Reflect.serialize/apply appear (parse.ludic + emit_decl.ludic).
#
# Serialize captures each field's raw stored value: a `fixed` field becomes a
# `fixed` node (its Q16.16 value), everything else an `int` node — so a
# serialize -> apply round-trip is bit-exact. The entity's model id rides along
# under the reserved "@kind" key; apply skips any "@"-prefixed key.
# ============================================================================
# entity -> a value-tree object: { "@kind": <model id>, "<Comp>": { "<field>": v, … }, … }
function reflect_serialize(e: int) -> Val {
let obj = value_object()
value_put(obj, "@kind", value_int(world_kind(e)))
let pc = world_prop_count()
var p = 0
while p < pc {
if world_has(e, p) != 0 {
let comp = value_object()
let fc = world_field_count(p)
var f = 0
while f < fc {
let fname = world_field_name(p, f)
let raw = world_get(e, p, f)
var node = value_int(raw)
if world_field_type(p, f) == "fixed" { node = value_fixed(raw) }
value_put(comp, fname, node)
f = f + 1
}
value_put(obj, world_prop_name(p), comp)
}
p = p + 1
}
return obj
}
# write a value-tree object's fields back into entity `e`. Only components the
# entity already has and fields the schema knows are applied; reserved "@"-keys
# (e.g. "@kind") and unknown names are skipped. Returns the number of fields set.
function reflect_apply(e: int, v: Val) -> int {
var set = 0
var i = 0
while i < value_count(v) {
let pname = value_key_at(v, i)
if pname[0] != 64 { # skip reserved "@…" keys
let p = world_prop_id(pname)
if p >= 0 and world_has(e, p) != 0 {
let comp = value_at(v, i)
var j = 0
while j < value_count(comp) {
let fname = value_key_at(comp, j)
let f = world_field_id(p, fname)
if f >= 0 {
world_set(e, p, f, value_as_int(value_at(comp, j)))
set = set + 1
}
j = j + 1
}
}
}
i = i + 1
}
return set
}