feat: extend ChunkPipeline

This commit is contained in:
dualfroz committed 2026-09-06 21:42:17 +02:00
1 parent c3953fca90
commit b1dbeeef95
1 file changed
+156
+156
View File
@@ -161,3 +161,159 @@ std::vector<ChunkTask> ChunkPipeline::pendingTasks() const {
return tasks;
}
void ChunkPipeline::stageGenerate(ChunkTaskResult& slot, Chunk* target,
std::atomic<bool>& cancelled) {
if (cancelled.load(std::memory_order_acquire)) {
slot.cancelled = true;
return;
}
auto start = std::chrono::steady_clock::now();
generator.generateChunk(*target, slot.coord);
slot.stage = ChunkStage::Generate;
slot.stageNanos[static_cast<int>(ChunkStage::Generate)] = nanosSince(start);
}
void ChunkPipeline::stageLight(ChunkTaskResult& slot, std::atomic<bool>& cancelled) {
if (cancelled.load(std::memory_order_acquire) || slot.cancelled) {
slot.cancelled = true;
return;
}
auto start = std::chrono::steady_clock::now();
Vec3i origin{slot.coord.x * chunkSize - 1, slot.coord.y * chunkSize - 1,
slot.coord.z * chunkSize - 1};
Vec3i dims{chunkSize + 2, chunkSize + 2, chunkSize + 2};
slot.light = computeLight(world, origin, dims);
slot.stage = ChunkStage::Light;
slot.stageNanos[static_cast<int>(ChunkStage::Light)] = nanosSince(start);
}
void ChunkPipeline::stageMesh(ChunkTaskResult& slot, std::atomic<bool>& cancelled) {
if (cancelled.load(std::memory_order_acquire) || slot.cancelled) {
slot.cancelled = true;
return;
}
auto start = std::chrono::steady_clock::now();
slot.mesh = meshChunkLit(world, slot.coord, slot.light);
slot.stage = ChunkStage::Mesh;
slot.stageNanos[static_cast<int>(ChunkStage::Mesh)] = nanosSince(start);
}
void ChunkPipeline::stageReady(ChunkTaskResult& slot, const Chunk* source,
std::atomic<bool>& cancelled) {
if (cancelled.load(std::memory_order_acquire) || slot.cancelled) {
slot.cancelled = true;
return;
}
auto start = std::chrono::steady_clock::now();
slot.chunk = *source;
slot.entryBytes = ChunkCache::entrySizeBytes(slot.chunk, slot.mesh);
slot.stage = ChunkStage::Ready;
slot.stageNanos[static_cast<int>(ChunkStage::Ready)] = nanosSince(start);
}
void ChunkPipeline::run() {
std::vector<ChunkTask> tasks = pendingTasks();
if (tasks.empty()) return;
std::size_t count = tasks.size();
std::vector<std::atomic<bool>*> flags(count, nullptr);
{
std::lock_guard<std::mutex> lock(controlMutex);
activeIndex.clear();
cancelFlags.clear();
cancelFlags.reserve(count);
for (std::size_t i = 0; i < count; ++i) {
activeIndex[tasks[i].coord] = i;
bool cancelled = !tasks[i].inRange || cancelledCoords.count(tasks[i].coord) != 0;
cancelFlags.push_back(std::unique_ptr<std::atomic<bool>>(
new std::atomic<bool>(cancelled)));
flags[i] = cancelFlags.back().get();
}
}
std::vector<ChunkTaskResult> slots(count);
std::vector<Chunk*> targets(count, nullptr);
std::unordered_map<Vec3i, std::size_t, Vec3iHash> indexOf;
indexOf.reserve(count * 2);
for (std::size_t i = 0; i < count; ++i) {
slots[i].coord = tasks[i].coord;
indexOf[tasks[i].coord] = i;
if (!flags[i]->load(std::memory_order_acquire))
targets[i] = &world.ensureChunk(tasks[i].coord);
}
JobGraph graph;
std::vector<std::array<std::size_t, chunkStageCount>> nodes(count);
for (std::size_t i = 0; i < count; ++i) {
JobPriority priority = tasks[i].priority;
std::string label = coordLabel(tasks[i].coord);
nodes[i][0] = graph.addNode(label + " generate",
[this, i, &slots, &targets, &flags] {
stageGenerate(slots[i], targets[i], *flags[i]);
},
priority);
nodes[i][1] = graph.addNode(label + " light",
[this, i, &slots, &flags] {
stageLight(slots[i], *flags[i]);
},
priority);
nodes[i][2] = graph.addNode(label + " mesh",
[this, i, &slots, &flags] {
stageMesh(slots[i], *flags[i]);
},
priority);
nodes[i][3] = graph.addNode(label + " ready",
[this, i, &slots, &targets, &flags] {
stageReady(slots[i], targets[i], *flags[i]);
},
priority);
}
for (std::size_t i = 0; i < count; ++i) {
graph.addDependency(nodes[i][1], nodes[i][0]);
graph.addDependency(nodes[i][2], nodes[i][1]);
graph.addDependency(nodes[i][3], nodes[i][2]);
for (int dx = -1; dx <= 1; ++dx) {
for (int dy = -1; dy <= 1; ++dy) {
for (int dz = -1; dz <= 1; ++dz) {
if (dx == 0 && dy == 0 && dz == 0) continue;
Vec3i neighbour = tasks[i].coord + Vec3i{dx, dy, dz};
auto found = indexOf.find(neighbour);
if (found == indexOf.end()) continue;
graph.addDependency(nodes[i][1], nodes[found->second][0]);
graph.addDependency(nodes[i][2], nodes[found->second][0]);
}
}
}
}
JobBatch batch = jobs.runGraph(graph);
batch.wait();
jobs.waitAll();
std::vector<std::size_t> mergeOrder(count);
std::iota(mergeOrder.begin(), mergeOrder.end(), std::size_t{0});
std::sort(mergeOrder.begin(), mergeOrder.end(), [&tasks](std::size_t a, std::size_t b) {
return coordLess(tasks[a].coord, tasks[b].coord);
});
PipelineStats delta;
completedResults.clear();
resultIndex.clear();
completedResults.reserve(count);
for (std::size_t index : mergeOrder) {
ChunkTaskResult& slot = slots[index];
for (int stage = 0; stage < chunkStageCount; ++stage)
delta.stageNanos[static_cast<std::size_t>(stage)] += slot.stageNanos[stage];
if (slot.cancelled) {
++delta.cancelled;
continue;
}
for (int stage = 0; stage <= static_cast<int>(slot.stage); ++stage)
++delta.stageCompleted[static_cast<std::size_t>(stage)];
++delta.chunksReady;
chunkStore.store(slot.coord, slot.chunk, slot.mesh);
resultIndex[slot.coord] = completedResults.size();
completedResults.push_back(std::move(slot));
}