CosmicClash/Game/scripts/net_interpolator.gd

class_name NetInterpolator
extends RefCounted

# Buffers recent snapshot samples for ONE remote body and produces
# interpolated states at any requested (possibly fractional) server tick —
# used twice per body (multiplayer-todo.md §4.1/§4.6, "dual-time remote
# entities"): once at the present-time estimate for the collider, once
# further back at present-minus-INTERP_DELAY for $Visual.
#
# server_tick (Engine.get_physics_frames() at send time) maps to an
# estimated server wall-clock time via TICK_HZ without any extra
# synchronization: both Engine.get_physics_frames() and Time.get_ticks_msec()
# count from the same process-start epoch, and physics has been running at
# a steady TICK_HZ the whole time, so tick_ms_of(tick) = tick * (1000/TICK_HZ)
# is a valid estimate of "what Time.get_ticks_msec() read on the server when
# it sent that tick." Callers convert a NetworkManager.get_server_time_estimate_ms()
# reading into the same tick-space with to_tick(ms) before calling sample_at().

const NetBodyState = preload("res://scripts/net_body_state.gd")
const SimConstants = preload("res://scripts/sim_constants.gd")

const MAX_SAMPLES := 16
# §4.6: "never extrapolate indefinitely — a stuck ship reads better than one
# flying through a wall."
const MAX_EXTRAPOLATION_MS := 150.0
const TICK_MS := 1000.0 / SimConstants.TICK_HZ

var _samples: Array[Dictionary] = []   # [{tick:int, state:NetBodyState}], oldest first
var reset_gen := -1   # -1: no sample yet, so the first real sample is never treated as a mid-flight reset


static func to_tick(server_time_ms: float) -> float:
	return server_time_ms / TICK_MS


# Returns true if this sample's reset_gen differs from the last one seen —
# the caller's cue to hard-snap instead of interpolating across a
# server-authoritative teleport (kickoff, goal reset) rather than sliding
# across the arena. Clears buffered history on a reset so a stale
# pre-reset sample can never bracket a post-reset one.
func add_sample(server_tick: int, state: NetBodyState, sample_reset_gen: int) -> bool:
	var is_reset := reset_gen != -1 and sample_reset_gen != reset_gen
	if is_reset:
		_samples.clear()
	reset_gen = sample_reset_gen
	if not _samples.is_empty() and server_tick <= _samples.back()["tick"]:
		return is_reset   # stale/duplicate (unreliable_ordered should already prevent this, but don't trust it blindly)
	_samples.append({"tick": server_tick, "state": state})
	if _samples.size() > MAX_SAMPLES:
		_samples.pop_front()
	return is_reset


func has_samples() -> bool:
	return not _samples.is_empty()


func latest() -> NetBodyState:
	return _samples.back()["state"] if not _samples.is_empty() else null


# target_tick may be fractional (a point in time between two integer ticks).
func sample_at(target_tick: float) -> NetBodyState:
	if _samples.is_empty():
		return null
	if _samples.size() == 1:
		return _samples[0]["state"]
	if target_tick <= _samples[0]["tick"]:
		return _samples[0]["state"]
	var newest: Dictionary = _samples.back()
	if target_tick >= newest["tick"]:
		return _extrapolate(newest, target_tick)
	for i in range(_samples.size() - 1):
		var a: Dictionary = _samples[i]
		var b: Dictionary = _samples[i + 1]
		if a["tick"] <= target_tick and target_tick <= b["tick"]:
			var a_tick: float = a["tick"]
			var b_tick: float = b["tick"]
			var span := b_tick - a_tick
			var t: float = (target_tick - a_tick) / span if span > 0.0 else 0.0
			return _lerp_state(a["state"], b["state"], t)
	return newest["state"]


func _lerp_state(a: NetBodyState, b: NetBodyState, t: float) -> NetBodyState:
	var out := NetBodyState.new()
	out.position = a.position.lerp(b.position, t)
	out.rotation = a.rotation.slerp(b.rotation, t)
	out.linear_velocity = a.linear_velocity.lerp(b.linear_velocity, t)
	out.angular_velocity = a.angular_velocity.lerp(b.angular_velocity, t)
	out.frozen = b.frozen
	out.turbo = b.turbo
	out.thrust_z = b.thrust_z
	out.stalled = b.stalled
	out.avel_range = b.avel_range
	return out


func _extrapolate(newest: Dictionary, target_tick: float) -> NetBodyState:
	var state: NetBodyState = newest["state"]
	var ticks_ahead: float = target_tick - float(newest["tick"])
	var ms_ahead := ticks_ahead * TICK_MS
	var clamped_ms := clampf(ms_ahead, 0.0, MAX_EXTRAPOLATION_MS)
	var out := NetBodyState.new()
	out.position = state.position + state.linear_velocity * (clamped_ms / 1000.0)
	out.rotation = state.rotation
	out.linear_velocity = state.linear_velocity
	out.angular_velocity = state.angular_velocity
	out.frozen = state.frozen
	out.turbo = state.turbo
	out.thrust_z = state.thrust_z
	out.stalled = state.stalled
	out.avel_range = state.avel_range
	return out