261 lines
8.0 KiB
Python
261 lines
8.0 KiB
Python
import hashlib
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import json
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import os
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import sys
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import time
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any
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import cadquery as cq
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CONVERTER_NAME = "NodeDcBimConverter"
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CONVERTER_VERSION = "0.2.0"
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UPLOADS_DIR = Path(os.environ.get("NODEDC_BIM_CONVERTER_UPLOADS_DIR", "/beam/uploads")).resolve()
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POLL_INTERVAL_SECONDS = float(os.environ.get("NODEDC_BIM_CONVERTER_INTERVAL_SECONDS", "10"))
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PROCESS_ONCE = os.environ.get("NODEDC_BIM_CONVERTER_ONCE", "").lower() in {"1", "true", "yes"}
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STEP_EXTENSIONS = {".step", ".stp"}
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def now_iso() -> str:
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return datetime.now(timezone.utc).isoformat()
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def src_from_path(path: Path) -> str:
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return f"uploads/{path.resolve().relative_to(UPLOADS_DIR).as_posix()}"
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def manifest_path(source_path: Path) -> Path:
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return source_path.with_name(f"{source_path.name}.beam.json")
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def read_json(path: Path) -> dict[str, Any]:
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try:
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return json.loads(path.read_text(encoding="utf-8"))
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except Exception:
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return {}
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def write_json_atomic(path: Path, payload: dict[str, Any]) -> None:
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path.parent.mkdir(parents=True, exist_ok=True)
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tmp_path = path.with_name(f"{path.name}.tmp")
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tmp_path.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8")
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tmp_path.replace(path)
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def hash_id(value: str) -> str:
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return hashlib.sha1(value.encode("utf-8")).hexdigest()[:16]
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def json_safe(value: Any) -> Any:
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if value is None or isinstance(value, (str, int, float, bool)):
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return value
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if isinstance(value, dict):
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return {str(k): json_safe(v) for k, v in value.items()}
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if isinstance(value, (list, tuple)):
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return [json_safe(v) for v in value]
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return str(value)
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def node_to_metadata(node: cq.Assembly, parent_path: str = "") -> dict[str, Any]:
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name = node.name or "root"
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node_path = f"{parent_path}/{name}" if parent_path else name
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children = [node_to_metadata(child, node_path) for child in node.children]
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return {
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"id": hash_id(node_path),
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"name": name,
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"path": node_path,
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"hasShape": bool(node.obj),
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"metadata": json_safe(node.metadata or {}),
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"children": children,
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}
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def count_nodes(node: dict[str, Any]) -> int:
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return 1 + sum(count_nodes(child) for child in node.get("children", []))
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def get_shape_type(value: Any) -> str | None:
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try:
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shape_type = value.ShapeType()
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return str(shape_type) if shape_type else None
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except Exception:
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return None
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def collect_solids(workplane: cq.Workplane) -> list[Any]:
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solids: list[Any] = []
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seen: set[int] = set()
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for value in workplane.vals():
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candidates = []
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try:
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candidates = list(value.Solids())
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except Exception:
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candidates = []
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if not candidates and get_shape_type(value) == "Solid":
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candidates = [value]
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for solid in candidates:
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key = hash(solid)
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if key in seen:
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continue
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seen.add(key)
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solids.append(solid)
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return solids
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def import_step_assembly(source_path: Path) -> tuple[cq.Assembly, str]:
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try:
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return cq.Assembly.importStep(str(source_path)), "assembly"
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except ValueError as exc:
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if "does not contain an assembly" not in str(exc):
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raise
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step_model = cq.importers.importStep(str(source_path))
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solids = collect_solids(step_model)
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assy = cq.Assembly(name=f"{source_path.stem}_root")
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if len(solids) > 1:
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for index, solid in enumerate(solids, start=1):
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assy.add(solid, name=f"{source_path.stem}_solid_{index:03d}")
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return assy, "split-solids"
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assy.add(step_model, name=source_path.stem)
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return assy, "single-shape"
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def convert_step_to_glb(source_path: Path, glb_path: Path, metadata_path: Path) -> dict[str, Any]:
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assy, import_strategy = import_step_assembly(source_path)
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tree = node_to_metadata(assy)
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glb_path.parent.mkdir(parents=True, exist_ok=True)
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assy.export(str(glb_path), tolerance=0.1, angularTolerance=0.1)
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metadata = {
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"source": src_from_path(source_path),
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"artifact": src_from_path(glb_path),
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"format": "step",
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"targetFormat": "glb",
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"importStrategy": import_strategy,
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"componentTree": tree,
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"componentCount": count_nodes(tree),
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"generatedAt": now_iso(),
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"converter": {
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"name": CONVERTER_NAME,
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"version": CONVERTER_VERSION,
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"engine": "cadquery",
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"cadqueryVersion": getattr(cq, "__version__", "unknown"),
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},
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}
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write_json_atomic(metadata_path, metadata)
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return metadata
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def should_process(source_path: Path, manifest: dict[str, Any], glb_path: Path) -> bool:
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status = manifest.get("status")
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if status == "ready" and glb_path.exists():
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return manifest.get("converterVersion") != CONVERTER_VERSION
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if status == "processing":
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updated_at = manifest.get("updatedAt")
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if updated_at:
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try:
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updated = datetime.fromisoformat(str(updated_at).replace("Z", "+00:00"))
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if (datetime.now(timezone.utc) - updated).total_seconds() < 300:
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return False
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except Exception:
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pass
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return source_path.exists()
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def process_one(source_path: Path) -> bool:
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manifest_file = manifest_path(source_path)
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stem = source_path.stem
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glb_path = source_path.with_name(f"{stem}.glb")
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metadata_path = source_path.with_name(f"{stem}.metadata.json")
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manifest = read_json(manifest_file)
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if not should_process(source_path, manifest, glb_path):
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return False
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base_manifest = {
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"createdAt": manifest.get("createdAt") or now_iso(),
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"componentTreeRequired": True,
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"converterName": CONVERTER_NAME,
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"converterVersion": CONVERTER_VERSION,
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"sourceFormat": "step",
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"sourceSrc": src_from_path(source_path),
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"targetFormat": "glb",
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}
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write_json_atomic(
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manifest_file,
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{
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**base_manifest,
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"message": "Preparing GLB and component tree.",
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"status": "processing",
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"updatedAt": now_iso(),
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},
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)
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print(f"[{CONVERTER_NAME}] converting {source_path}", flush=True)
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try:
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metadata = convert_step_to_glb(source_path, glb_path, metadata_path)
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write_json_atomic(
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manifest_file,
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{
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**base_manifest,
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"artifactSrc": src_from_path(glb_path),
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"artifactType": "gltf",
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"componentCount": metadata.get("componentCount"),
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"metadataSrc": src_from_path(metadata_path),
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"message": "GLB and component tree are ready.",
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"status": "ready",
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"updatedAt": now_iso(),
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},
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)
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print(f"[{CONVERTER_NAME}] ready {glb_path}", flush=True)
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return True
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except Exception as exc:
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write_json_atomic(
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manifest_file,
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{
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**base_manifest,
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"error": str(exc),
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"message": "Failed to prepare GLB and component tree.",
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"status": "failed",
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"updatedAt": now_iso(),
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},
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)
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print(f"[{CONVERTER_NAME}] failed {source_path}: {exc}", file=sys.stderr, flush=True)
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return False
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def scan_once() -> int:
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if not UPLOADS_DIR.exists():
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print(f"[{CONVERTER_NAME}] uploads dir does not exist: {UPLOADS_DIR}", flush=True)
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return 0
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processed = 0
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for source_path in sorted(UPLOADS_DIR.rglob("*")):
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if not source_path.is_file():
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continue
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if source_path.suffix.lower() not in STEP_EXTENSIONS:
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continue
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if process_one(source_path):
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processed += 1
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return processed
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def main() -> None:
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print(f"[{CONVERTER_NAME}] watching {UPLOADS_DIR}", flush=True)
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while True:
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scan_once()
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if PROCESS_ONCE:
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return
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time.sleep(POLL_INTERVAL_SECONDS)
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if __name__ == "__main__":
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main()
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