full pipeline
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@@ -13,32 +13,31 @@ export async function POST(req: NextRequest) {
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return NextResponse.json({ error: "No file provided" }, { status: 400 });
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}
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// 1. Setup workspace
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const tempDir = path.join(os.tmpdir(), "xgrids-pipeline");
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await mkdir(tempDir, { recursive: true });
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// FIX: Sanitize filename to avoid shell/path issues with spaces
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const safeName = file.name.replace(/[^a-z0-8.]/gi, "_").toLowerCase();
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const safeName = file.name.replace(/[^a-z0-9.]/gi, "_").toLowerCase();
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const timestamp = Date.now();
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const inputPath = path.join(tempDir, `${timestamp}_${safeName}`);
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const outputPath = inputPath.replace(/\.(lcc|lci|bin)$/i, ".ply");
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// Ensure we replace the extension correctly for the output
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const outputPath = inputPath.replace(/\.(lcc|lci)$/i, ".ply");
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// DETERMINE WHICH SCRIPT TO RUN
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let scriptName = "convert_lci_to_ply.py";
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if (file.name.toLowerCase().includes("environment.bin")) {
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scriptName = "convert_env_to_ply.py";
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}
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const scriptPath = path.join(
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process.cwd(),
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"scripts",
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"preprocess",
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"convert_lci_to_ply.py",
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scriptName,
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);
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// 2. Write the file
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const buffer = Buffer.from(await file.arrayBuffer());
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await writeFile(inputPath, buffer);
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// 3. Execute Python
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return new Promise<NextResponse>((resolve) => {
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// spawn handles arguments as an array, which is safer than exec for spaces
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const pythonProcess = spawn("python3", [
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scriptPath,
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inputPath,
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@@ -52,14 +51,10 @@ export async function POST(req: NextRequest) {
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pythonProcess.on("close", async (code) => {
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if (code !== 0) {
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console.error("Python Error:", errorOutput);
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// Cleanup input even on failure
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await unlink(inputPath).catch(() => {});
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return resolve(
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NextResponse.json(
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{
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error: `Python script failed with code ${code}. ${errorOutput}`,
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},
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{ error: `Python failed (${scriptName}): ${errorOutput}` },
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{ status: 500 },
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),
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);
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@@ -67,8 +62,6 @@ export async function POST(req: NextRequest) {
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try {
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const plyBuffer = await readFile(outputPath);
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// Cleanup
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await Promise.all([
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unlink(inputPath).catch(() => {}),
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unlink(outputPath).catch(() => {}),
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@@ -86,7 +79,7 @@ export async function POST(req: NextRequest) {
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} catch (e) {
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resolve(
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NextResponse.json(
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{ error: "Failed to read generated PLY file" },
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{ error: "Failed to read output PLY" },
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{ status: 500 },
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),
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);
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@@ -94,7 +87,6 @@ export async function POST(req: NextRequest) {
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});
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});
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} catch (error: any) {
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console.error("API Route Error:", error);
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return NextResponse.json({ error: error.message }, { status: 500 });
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}
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}
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90
scripts/preprocess/convert_env_to_ply.py
Normal file
90
scripts/preprocess/convert_env_to_ply.py
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@@ -0,0 +1,90 @@
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#!/usr/bin/env python3
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import argparse
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import struct
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import sys
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from pathlib import Path
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def convert_env_to_ply(input_path, output_path, verbose=False):
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"""
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Parses Xgrids environment.bin using standard library only.
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Format: 44 bytes per splat (11 little-endian floats).
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"""
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input_path = Path(input_path)
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output_path = Path(output_path)
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if not input_path.exists():
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print(f"✗ Error: File '{input_path}' not found.")
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sys.exit(1)
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# 44 bytes per point (Position x,y,z | Scale x,y,z | Rotation q1,q2,q3,q4 | Opacity)
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POINT_SIZE = 44
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try:
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file_size = input_path.stat().st_size
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num_points = file_size // POINT_SIZE
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if verbose:
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print("-" * 50)
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print(f"Input: {input_path}")
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print(f"Output: {output_path}")
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print(f"Size: {file_size / (1024*1024):.2f} MB")
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print(f"Points: {num_points:,}")
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print("-" * 50)
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with open(input_path, "rb") as f_in, open(output_path, "w") as f_out:
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# 1. Write PLY Header
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f_out.write("ply\n")
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f_out.write("format ascii 1.0\n")
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f_out.write(f"element vertex {num_points}\n")
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f_out.write("property float x\n")
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f_out.write("property float y\n")
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f_out.write("property float z\n")
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f_out.write("end_header\n")
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# 2. Process Binary in Chunks (to keep RAM usage low)
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# 10,000 points per chunk is a good balance for standard Python
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chunk_size = 10000
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points_processed = 0
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while points_processed < num_points:
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remaining = num_points - points_processed
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batch_size = min(chunk_size, remaining)
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# Read binary chunk
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chunk_data = f_in.read(batch_size * POINT_SIZE)
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if not chunk_data:
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break
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# Unpack and write
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# '<3f' grabs just the first 3 floats (XYZ) and ignores the rest of the 44 bytes
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for i in range(batch_size):
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offset = i * POINT_SIZE
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# We only unpack the first 12 bytes (3 floats) of the 44-byte block
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x, y, z = struct.unpack_from("<fff", chunk_data, offset)
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f_out.write(f"{x:.6f} {y:.6f} {z:.6f}\n")
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points_processed += batch_size
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if verbose and points_processed % 50000 == 0:
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print(f"• Progress: {points_processed:,} / {num_points:,}")
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print(f"✓ Success! Converted {num_points:,} points.")
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except Exception as e:
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print(f"✗ Error during conversion: {e}")
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sys.exit(1)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
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description="Zero-dependency CLI tool to convert Xgrids environment.bin to PLY."
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)
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parser.add_argument("input", help="Path to environment.bin")
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parser.add_argument("output", nargs="?", help="Output .ply path")
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parser.add_argument("-v", "--verbose", action="store_true", help="Enable logging")
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args = parser.parse_args()
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# Default output logic
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out_path = Path(args.output) if args.output else Path(args.input).with_suffix(".ply")
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convert_env_to_ply(args.input, out_path, args.verbose)
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