import os
import pickle
import struct
import time
from py3dtiles.points.node_catalog import NodeCatalog
from py3dtiles.points.utils import ResponseType
def _forward_unassigned_points(node, queue, log_file):
total = 0
result = node.dump_pending_points()
for r in result:
if len(r) > 0:
if log_file is not None:
print(' -> put on queue ({},{})'.format(r[0], r[2]), file=log_file)
total += r[2]
queue.send_multipart([
ResponseType.NEW_TASK.value,
r[0],
r[1],
struct.pack('>I', r[2])], copy=False, block=False)
return total
def _flush(node_catalog, scale, node, queue, max_depth=1, force_forward=False, log_file=None, depth=0):
if depth >= max_depth:
threshold = 0 if force_forward else 10_000
if node.get_pending_points_count() > threshold:
return _forward_unassigned_points(node, queue, log_file)
else:
return 0
node.flush_pending_points(node_catalog, scale)
total = 0
if node.children is not None:
# then flush children
children = node.children
# release node
del node
for name in children:
total += _flush(node_catalog, scale, node_catalog.get_node(name), queue, max_depth, force_forward, log_file, depth + 1)
return total
def _balance(node_catalog, node, max_depth=1, depth=0):
if depth >= max_depth:
return 0
if node.needs_balance():
node.grid.balance(node.aabb_size, node.aabb[0], node.inv_aabb_size)
node.dirty = True
if node.children is not None:
# then _flush children
children = node.children
# release node
del node
for name in children:
_balance(
node_catalog,
node_catalog.get_node(name),
max_depth,
depth + 1)
def _process(nodes, octree_metadata, name, tasks, queue, begin, log_file):
node_catalog = NodeCatalog(nodes, name, octree_metadata)
log_enabled = log_file is not None
if log_enabled:
print('[>] process_node: "{}", {}'.format(name, len(tasks)),
file=log_file,
flush=True)
node = node_catalog.get_node(name)
halt_at_depth = 0
if len(name) >= 7:
halt_at_depth = 5
elif len(name) >= 5:
halt_at_depth = 3
elif len(name) > 2:
halt_at_depth = 2
elif len(name) >= 1:
halt_at_depth = 1
total = 0
index = 0
for task in tasks:
if log_enabled:
print(' -> read source [{}]'.format(time.time() - begin), file=log_file, flush=True)
data = pickle.loads(task)
point_count = len(data['xyz'])
if log_enabled:
print(' -> insert {} [{} points]/ {} files [{}]'.format(
index + 1, point_count,
len(tasks), time.time() - begin), file=log_file, flush=True)
# insert points in node (no children handling here)
node.insert(node_catalog, octree_metadata.scale, data['xyz'], data['rgb'], halt_at_depth == 0)
total += point_count
if log_enabled:
print(' -> _flush [{}]'.format(time.time() - begin), file=log_file, flush=True)
# _flush push pending points (= call insert) from level N to level N + 1
# (_flush is recursive)
written = _flush(node_catalog, octree_metadata.scale, node, queue, halt_at_depth - 1, index == len(tasks) - 1, log_file)
total -= written
index += 1
_balance(node_catalog, node, halt_at_depth - 1)
if log_enabled:
print('save on disk {} [{}]'.format(name, time.time() - begin), file=log_file)
# save node state on disk
if halt_at_depth > 0:
data = node_catalog.dump(name, halt_at_depth - 1)
else:
data = b''
if log_enabled:
print('saved on disk [{}]'.format(time.time() - begin), file=log_file)
return total, data
[docs]
def run(work, octree_metadata, queue, verbose):
try:
begin = time.time()
log_enabled = verbose >= 2
if log_enabled:
log_filename = 'py3dtiles-{}.log'.format(os.getpid())
log_file = open(log_filename, 'a')
else:
log_file = None
total = 0
i = 0
while i < len(work):
name = work[i]
node = work[i + 1]
count = struct.unpack('>I', work[i + 2])[0]
tasks = work[i + 3:i + 3 + count]
i += 3 + count
result, data = _process(node, octree_metadata, name, tasks, queue, begin, log_file)
total += result
queue.send_multipart([ResponseType.PROCESSED.value, pickle.dumps({
'name': name,
'total': result,
'save': data,
})], copy=False)
if log_enabled:
print('[<] return result [{} sec] [{}]'.format(
round(time.time() - begin, 2),
time.time() - begin), file=log_file, flush=True)
if log_file is not None:
log_file.close()
return total
except Exception as e:
print('Exception while processing node:', e)
raise e