Spaces:
Sleeping
Sleeping
File size: 10,500 Bytes
182efca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 | """Asynchronous job management for the review pipeline."""
from __future__ import annotations
import asyncio
import logging
import uuid
from concurrent.futures import ThreadPoolExecutor
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any
import numpy as np
from config.settings import Settings
from src.api.mesh_export import mesh_to_glb
from src.geometry.tessellator import tessellate_faces
from src.loader.assembly_tree import AssemblyNode, extract_assembly_tree, extract_assembly_from_shape
from src.loader.step_loader import load_step
logger = logging.getLogger(__name__)
PIPELINE_STEPS = [
"loading",
"assembly_tree",
"tessellation",
"classification",
"mesh_export",
]
@dataclass
class PartMeshData:
"""Mesh data for a single part."""
part_id: str
vertices: np.ndarray
triangles: np.ndarray
glb: bytes
@dataclass
class GroupInfo:
"""Info about a part group (exterior / interior)."""
name: str
part_ids: list[str]
part_names: list[str]
@dataclass
class JobData:
"""Stores all data associated with a review job."""
job_id: str
exterior_path: Path
interior_path: Path
status: str = "pending" # pending, running, completed, failed
error: str | None = None
# Step tracking
steps: dict[str, str] = field(default_factory=dict)
# Results
assembly_tree: AssemblyNode | None = None
part_meshes: dict[str, PartMeshData] = field(default_factory=dict)
group_meshes: dict[str, PartMeshData] = field(default_factory=dict)
groups: dict[str, GroupInfo] = field(default_factory=dict)
exterior_step_info: Any = None
interior_step_info: Any = None
# SSE subscribers
_listeners: list[asyncio.Queue] = field(default_factory=list)
_loop: asyncio.AbstractEventLoop | None = None
def __post_init__(self) -> None:
for step in PIPELINE_STEPS:
self.steps[step] = "pending"
class JobManager:
"""Manages review jobs with thread-based execution and SSE streaming."""
def __init__(self, upload_dir: Path | None = None) -> None:
self._jobs: dict[str, JobData] = {}
self._executor = ThreadPoolExecutor(max_workers=2)
self._upload_dir = upload_dir or Path("/tmp/cad-review-uploads")
self._upload_dir.mkdir(parents=True, exist_ok=True)
self._settings = Settings()
@property
def upload_dir(self) -> Path:
return self._upload_dir
@property
def settings(self) -> Settings:
return self._settings
def create_job(self, exterior_path: Path, interior_path: Path) -> JobData:
"""Create a new review job with exterior and interior STEP files."""
job_id = uuid.uuid4().hex[:12]
job = JobData(job_id=job_id, exterior_path=exterior_path, interior_path=interior_path)
self._jobs[job_id] = job
return job
def get_job(self, job_id: str) -> JobData | None:
return self._jobs.get(job_id)
def subscribe(self, job: JobData) -> asyncio.Queue:
queue: asyncio.Queue = asyncio.Queue()
job._listeners.append(queue)
return queue
def unsubscribe(self, job: JobData, queue: asyncio.Queue) -> None:
if queue in job._listeners:
job._listeners.remove(queue)
def _emit(self, job: JobData, event: dict) -> None:
loop = job._loop
if loop is None:
return
for q in job._listeners:
loop.call_soon_threadsafe(q.put_nowait, event)
def _emit_step(self, job: JobData, step: str, status: str, pct: int = 0, **kwargs) -> None:
job.steps[step] = status
event = {"step": step, "status": status, "progress_pct": pct, **kwargs}
self._emit(job, event)
def start_job(self, job: JobData, loop: asyncio.AbstractEventLoop) -> None:
"""Start job execution in a background thread."""
job.status = "running"
job._loop = loop
self._executor.submit(self._run_pipeline, job)
def _extract_tree(self, step_info, id_prefix: str = "") -> AssemblyNode:
"""Extract assembly tree from a loaded STEP file, trying XDE first."""
tree = None
if step_info.shape_tool is not None:
try:
tree = extract_assembly_tree(step_info.shape_tool)
except Exception as e:
logger.warning("XDE tree extraction failed: %s, falling back to shape topology", e)
if tree is None:
tree = extract_assembly_from_shape(
step_info.shape, step_info.path.stem,
reader=step_info.reader, doc=step_info.doc,
step_path=step_info.path,
id_prefix=id_prefix,
)
return tree
def _run_pipeline(self, job: JobData) -> None:
"""Execute the review pipeline in a worker thread."""
try:
settings = self._settings
# Step 1: Load both STEP files
self._emit_step(job, "loading", "running")
exterior_info = load_step(job.exterior_path)
job.exterior_step_info = exterior_info
self._emit_step(job, "loading", "running", 50)
interior_info = load_step(job.interior_path)
job.interior_step_info = interior_info
self._emit_step(job, "loading", "completed", 100)
# Step 2: Extract assembly trees and build combined root
self._emit_step(job, "assembly_tree", "running")
exterior_tree = self._extract_tree(exterior_info, id_prefix="ext_")
exterior_tree.name = f"Exterior - {exterior_tree.name}"
interior_tree = self._extract_tree(interior_info, id_prefix="int_")
interior_tree.name = f"Interior - {interior_tree.name}"
# Tag all leaves with their classification
for leaf in exterior_tree.iter_leaves():
leaf.classification = "exterior"
for leaf in interior_tree.iter_leaves():
leaf.classification = "interior"
# Build combined root
tree = AssemblyNode(
id="root",
name="Combined Assembly",
is_assembly=True,
children=[exterior_tree, interior_tree],
)
job.assembly_tree = tree
self._emit_step(job, "assembly_tree", "completed", 100)
# Step 3: Tessellate each leaf part
self._emit_step(job, "tessellation", "running")
leaves = list(tree.iter_leaves())
total_leaves = len(leaves)
for idx, leaf in enumerate(leaves):
if leaf.shape is None or leaf.shape.IsNull():
continue
try:
verts, tris = tessellate_faces(
leaf.shape, settings.tessellation,
target_tolerance_mm=settings.tolerance.g0_position_mm,
)
leaf.num_faces = len(tris)
pct = int((idx + 1) / total_leaves * 100)
self._emit_step(job, "tessellation", "running", pct)
# Store mesh data
job.part_meshes[leaf.id] = PartMeshData(
part_id=leaf.id,
vertices=verts,
triangles=tris,
glb=b"", # Generate later
)
except Exception as e:
logger.warning("Failed to tessellate part '%s': %s", leaf.name, e)
self._emit_step(job, "tessellation", "completed", 100)
# Step 4: Classification (by file origin - already tagged above)
self._emit_step(job, "classification", "running")
for group_name, subtree in [("exterior", exterior_tree), ("interior", interior_tree)]:
group_leaves = list(subtree.iter_leaves())
job.groups[group_name] = GroupInfo(
name=group_name,
part_ids=[leaf.id for leaf in group_leaves if leaf.shape is not None],
part_names=[leaf.name for leaf in group_leaves if leaf.shape is not None],
)
self._emit_step(job, "classification", "completed", 100)
# Step 5: Export meshes to GLB (individual + combined groups)
self._emit_step(job, "mesh_export", "running")
for part_id, mesh_data in job.part_meshes.items():
try:
mesh_data.glb = mesh_to_glb(mesh_data.vertices, mesh_data.triangles)
except Exception as e:
logger.warning("Failed to export GLB for part %s: %s", part_id, e)
# Create combined group meshes
for group_name, group_info in job.groups.items():
group_verts_list = []
group_tris_list = []
vert_offset = 0
for pid in group_info.part_ids:
md = job.part_meshes.get(pid)
if md is None:
continue
group_verts_list.append(md.vertices)
group_tris_list.append(md.triangles + vert_offset)
vert_offset += len(md.vertices)
if group_verts_list:
combined_verts = np.concatenate(group_verts_list, axis=0)
combined_tris = np.concatenate(group_tris_list, axis=0)
try:
combined_glb = mesh_to_glb(combined_verts, combined_tris)
job.group_meshes[group_name] = PartMeshData(
part_id=f"{group_name}_combined",
vertices=combined_verts,
triangles=combined_tris,
glb=combined_glb,
)
except Exception as e:
logger.warning("Failed to create combined GLB for %s: %s", group_name, e)
self._emit_step(job, "mesh_export", "completed", 100, overall_status="completed")
job.status = "completed"
except Exception as e:
logger.exception("Job %s failed", job.job_id)
job.status = "failed"
job.error = str(e)
self._emit(job, {
"step": "error",
"status": "failed",
"error": str(e),
"overall_status": "failed",
})
|