Initial commit

backend/routes/admin.py

@@ -0,0 +1,184 @@
+from fastapi import APIRouter, HTTPException
+from fastapi.responses import JSONResponse
+from config import EPT_DIR, UPLOADS_DIR, ENTWINE_PATH, DATA_DIR
+from services.manifest import read_manifest
+from services.converter import ENTWINE_AVAILABLE, ENTWINE_PATH, run_entwine
+import shutil
+import subprocess
+import os
+
+router = APIRouter()
+
+@router.get("/backend-config")
+def backend_config():
+    """Retourne la configuration du backend"""
+    import os
+    try:
+        stat = shutil.disk_usage(DATA_DIR)
+        disk_free_gb = round(stat.free / (1024**3), 2)
+    except:
+        disk_free_gb = "?"
+    
+    return {
+        "entwine_available": ENTWINE_AVAILABLE,
+        "entwine_path": ENTWINE_PATH,
+        "pdal_available": shutil.which("pdal") is not None,
+        "disk_free_gb": disk_free_gb,
+    }
+
+
+@router.get("/debug/{pc_id}")
+def debug(pc_id: str):
+    out_dir = EPT_DIR / pc_id
+    if not out_dir.exists():
+        raise HTTPException(status_code=404, detail=f"ID {pc_id} non trouvé")
+
+    manifest = read_manifest(out_dir)
+
+    files = []
+    total_size = 0
+    for p in out_dir.rglob("*"):
+        if p.is_file():
+            size = p.stat().st_size
+            total_size += size
+            files.append({
+                "path": str(p.relative_to(out_dir)),
+                "size_mb": round(size / (1024 * 1024), 2),
+            })
+
+    entry_file = manifest.get("entry_file")
+    entry_exists = False
+    if entry_file:
+        entry_exists = (EPT_DIR / entry_file).exists()
+
+    return {
+        "pc_id": pc_id,
+        "exists": True,
+        "manifest": manifest,
+        "entry_exists": entry_exists,
+        "stats": {
+            "total_files": len(files),
+            "total_size_mb": round(total_size / (1024 * 1024), 2),
+        },
+        "files": sorted(files, key=lambda x: x["size_mb"], reverse=True)[:20],
+        "entwine_available": ENTWINE_AVAILABLE,
+        "entwine_path": ENTWINE_PATH,
+    }
+
+
+@router.delete("/delete/{pc_id}")
+def delete_pointcloud(pc_id: str):
+    out_dir = EPT_DIR / pc_id
+    if not out_dir.exists():
+        raise HTTPException(status_code=404, detail=f"ID {pc_id} non trouvé")
+
+    try:
+        for ext in [".las", ".laz", ".ply", ".xyz", ".pts"]:
+            original = UPLOADS_DIR / f"{pc_id}{ext}"
+            if original.exists():
+                original.unlink()
+
+        shutil.rmtree(out_dir)
+        return {"ok": True, "message": f"Nuage {pc_id} supprimé"}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Erreur suppression : {str(e)}")
+
+
+@router.post("/crop/{pc_id}")
+def crop_pointcloud(pc_id: str, box: dict):
+    """
+    Crop le nuage de points avec PDAL.
+    
+    Args:
+        pc_id: ID du nuage de points à cropper
+        box: dict avec les coordonnées de la box 3D
+              {"minX", "minY", "minZ", "maxX", "maxY", "maxZ"}
+    """
+    out_dir = EPT_DIR / pc_id
+    if not out_dir.exists():
+        raise HTTPException(status_code=404, detail=f"ID {pc_id} non trouvé")
+
+    manifest = read_manifest(out_dir)
+    if not manifest or not manifest.get("ept_dir"):
+        raise HTTPException(status_code=400, detail="Manifeste invalide")
+
+    ept_dir = EPT_DIR / manifest["ept_dir"]
+
+    # Vérifier que PDAL est disponible
+    try:
+        pdal_path = subprocess.run(
+            ["which", "pdal"],
+            capture_output=True, text=True, check=False
+        ).stdout.strip()
+        if not pdal_path:
+            raise HTTPException(500, "PDAL non disponible")
+    except Exception:
+        raise HTTPException(500, "PDAL non disponible")
+
+    # Construire le pipeline PDAL pour le crop
+    pipeline = {
+        "pipeline": [
+            {
+                "type": "readers.las",
+                "filename": str(ept_dir / "ept.json"),
+                "skip_z": False,
+                "force_z": True
+            },
+            {
+                "type": "filters.crop",
+                "crop_box": [
+                    box.get("minX", 0),
+                    box.get("minY", 0),
+                    box.get("minZ", 0),
+                    box.get("maxX", 0),
+                    box.get("maxY", 0),
+                    box.get("maxZ", 0)
+                ]
+            },
+            {
+                "type": "writers.ept",
+                "filename": str(out_dir / "cropped.las"),
+                "force_z": True
+            }
+        ]
+    }
+
+    try:
+        result = subprocess.run(
+            [pdal_path, "--pipeline=JSON", "--stdin"],
+            input=pipeline,
+            capture_output=True,
+            text=True,
+            timeout=7200,
+            env=os.environ.copy()
+        )
+
+        if result.returncode != 0:
+            raise HTTPException(
+                500,
+                f"PDAL crop failed (code {result.returncode}):\n{result.stderr}"
+            )
+
+        # Convertir le fichier LAS croppé en EPT
+        cropped_las = out_dir / "cropped.las"
+        if not cropped_las.exists():
+            raise HTTPException(500, "Fichier LAS croppé non généré")
+
+        # Supprimer le fichier original
+        for ext in [".las", ".laz", ".ply", ".xyz", ".pts"]:
+            original = UPLOADS_DIR / f"{pc_id}{ext}"
+            if original.exists():
+                original.unlink()
+
+        # Convertir en EPT
+        run_entwine(cropped_las, out_dir)
+
+        return {
+            "ok": True,
+            "id": pc_id,  # Même ID, le nuage a été mis à jour
+            "size_mb": round(cropped_las.stat().st_size / (1024 * 1024), 2),
+            "conversion_time_seconds": 0,
+        }
+
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Erreur crop : {str(e)}")