classification / server.py
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"""Local FastAPI service: STEP-file-in, classification-out. One process, models loaded once.
Designed to be launched by a C# host app as a child process. The service binds to
127.0.0.1 only; never exposes a network-facing port.
Startup protocol:
- Bind a free port (default: OS-assigned via --port 0).
- Once models are loaded and the server is accepting requests, write
`READY port=<PORT>` to stdout (single line). The host reads that line to learn
where to connect.
- On `POST /shutdown` (or SIGTERM), drain in-flight requests and exit.
Endpoints:
GET /health -> service / model state
POST /classify {step_path} -> single STEP classification
POST /classify_batch {paths} -> multiple in one call (sequential, single-process)
POST /shutdown -> graceful exit
"""
from __future__ import annotations
import argparse
import os
import sys
import tempfile
import threading
import time
from pathlib import Path
from typing import List, Optional
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
import uvicorn
from heg_brep import (
DEFAULT_PASS1_MODEL, DEFAULT_ELBOW_MODEL, DEFAULT_TEE_MODEL,
)
from heg_brep.inference import LoadedModel, TwoPassClassifier
from heg_brep.extraction import extract_step_to_npz
# Eagerly import the BRepExtractor pipeline at startup. Without this, the first
# /classify call pays ~20-30s of OCC + occwl + igl cold-import cost — terrible
# UX for an interactive viewer.
import pipeline.extract_brep_extractor_data_from_step # noqa: F401
class State:
classifier: Optional[TwoPassClassifier] = None
started_at: float = 0.0
device: str = "cpu"
pass2_min_conf: float = 0.85
pass2_tau: float = 0.0
app = FastAPI(title="HEG BRep component identification")
class ClassifyRequest(BaseModel):
step_path: str
# Optional override: persist the NPZ to disk for inspection.
npz_keep_dir: Optional[str] = None
class ClassifyBatchRequest(BaseModel):
step_paths: List[str]
npz_keep_dir: Optional[str] = None
@app.get("/health")
def health():
return {
"status": "ok",
"models_loaded": State.classifier is not None,
"device": State.device,
"uptime_sec": round(time.time() - State.started_at, 2),
}
def _classify_one(step_path: str, npz_keep_dir: Optional[str]) -> dict:
if State.classifier is None:
raise HTTPException(status_code=503, detail="models not loaded yet")
sp = Path(step_path).expanduser()
if not sp.exists():
return {"step_path": str(sp), "status": "error", "error": "step_path not found"}
out_dir = Path(npz_keep_dir).expanduser().resolve() if npz_keep_dir \
else Path(tempfile.mkdtemp(prefix="heg_brep_npz_"))
try:
npz = extract_step_to_npz(sp, out_dir)
except Exception as exc:
return {"step_path": str(sp), "status": "extraction_failed", "error": str(exc)[:500]}
try:
result = State.classifier.classify_npz(npz)
except Exception as exc:
return {"step_path": str(sp), "status": "inference_failed", "error": str(exc)[:500],
"npz_path": str(npz)}
result.update({"step_path": str(sp), "status": "ok", "npz_path": str(npz)})
return result
@app.post("/classify")
def classify(req: ClassifyRequest):
return _classify_one(req.step_path, req.npz_keep_dir)
@app.post("/classify_batch")
def classify_batch(req: ClassifyBatchRequest):
return {"results": [_classify_one(p, req.npz_keep_dir) for p in req.step_paths]}
@app.post("/shutdown")
def shutdown():
threading.Thread(target=lambda: (time.sleep(0.2), os._exit(0)), daemon=True).start()
return {"status": "shutting_down"}
def _load_models(args) -> None:
pass1 = LoadedModel(Path(args.pass1_model), device=args.device)
elbow = LoadedModel(Path(args.elbow_model), device=args.device) if Path(args.elbow_model).exists() else None
tee = LoadedModel(Path(args.tee_model), device=args.device) if Path(args.tee_model).exists() else None
State.classifier = TwoPassClassifier(
pass1=pass1, elbow=elbow, tee=tee,
pass2_min_conf=args.pass2_min_conf, pass2_tau=args.pass2_tau,
)
State.device = args.device
State.pass2_min_conf = args.pass2_min_conf
State.pass2_tau = args.pass2_tau
def parse_args() -> argparse.Namespace:
ap = argparse.ArgumentParser(description="HEG BRep classification service")
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=0,
help="Port to bind. 0 = let the OS pick. The chosen port is "
"printed to stdout as a single line `READY port=<N>`.")
ap.add_argument("--pass1_model", default=str(DEFAULT_PASS1_MODEL))
ap.add_argument("--elbow_model", default=str(DEFAULT_ELBOW_MODEL))
ap.add_argument("--tee_model", default=str(DEFAULT_TEE_MODEL))
ap.add_argument("--device", default="cpu", choices=["cpu", "cuda"])
ap.add_argument("--pass2_min_conf", type=float, default=0.85)
ap.add_argument("--pass2_tau", type=float, default=0.0)
return ap.parse_args()
def main() -> int:
args = parse_args()
State.started_at = time.time()
print(f"[heg_brep] loading models from:", file=sys.stderr)
print(f" pass1: {args.pass1_model}", file=sys.stderr)
print(f" elbow: {args.elbow_model}", file=sys.stderr)
print(f" tee : {args.tee_model}", file=sys.stderr)
print(f" device: {args.device}", file=sys.stderr)
t0 = time.time()
_load_models(args)
print(f"[heg_brep] models loaded in {time.time() - t0:.1f}s", file=sys.stderr)
# Bind socket up front so we can tell the parent which port we got.
import socket
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
sock.bind((args.host, int(args.port)))
bound_port = sock.getsockname()[1]
print(f"READY port={bound_port}", flush=True)
config = uvicorn.Config(app=app, host=args.host, port=bound_port, log_level="warning")
server = uvicorn.Server(config)
# uvicorn doesn't accept an already-bound socket in the simple Config API; close
# ours and let uvicorn rebind. Race window is fine because we're loopback only.
sock.close()
server.run()
return 0
if __name__ == "__main__":
sys.exit(main())