copc-streaming 0.1.2

Async streaming COPC (Cloud-Optimized Point Cloud) reader
Documentation
# copc

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Rust libraries for reading [COPC](https://copc.io/) (Cloud-Optimized Point Cloud) files, with support for the [COPC Temporal Index Extension](copc-temporal/docs/temporal-index-spec.md).

## Crates

### [`copc-streaming`]copc-streaming/

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Async streaming COPC reader. Loads octree hierarchy and point data incrementally via a `ByteSource` trait — works with HTTP range requests, local files, or any random-access byte source.

- LAS header and VLR parsing via the `las` crate
- LAZ decompression via the `laz` crate
- Incremental hierarchy page loading
- Individual chunk fetch + decompression
- `ByteSource` trait with `FileSource` (local) and `Vec<u8>` (in-memory) implementations
- No `Send` requirement on futures — WASM compatible

### [`copc-temporal`]copc-temporal/

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Reader for the COPC Temporal Index Extension. Enables time-range filtering of octree nodes without decompressing point data.

- Parse temporal index EVLR (paged layout for incremental loading)
- Per-node GPS time range queries
- Intra-node point range estimation via binary search
- Incremental page loading via `ByteSource` — only fetch index pages relevant to your query
- Combined spatial + temporal filtering

Depends on `copc-streaming` for core COPC types (`VoxelKey`, `Aabb`, `ByteSource`).

## Use case

When multiple survey passes cover the same area at different times, a single merged COPC file may contain overlapping data from many collection epochs. A client querying a spatial region often needs only points from a specific time window — not every pass that ever traversed that location. Without the temporal index, all spatially overlapping nodes must be decompressed. With the temporal index, irrelevant epochs are skipped before any decompression.

## Quick start

```rust
use copc_streaming::{CopcStreamingReader, FileSource, VoxelKey};

let mut reader = CopcStreamingReader::open(FileSource::open("points.copc.laz")?).await?;

// Coarse nodes are available immediately. Load finer levels as needed.
let root_bounds = reader.copc_info().root_bounds();

while reader.has_pending_pages() {
    reader.load_pending_pages().await?;
}

for (key, entry) in reader.entries() {
    if entry.point_count == 0 { continue; }
    if !key.bounds(&root_bounds).intersects(&query_box) { continue; }

    let chunk = reader.fetch_chunk(key).await?;
    let points = reader.read_points(&chunk)?;
}
```

### With temporal filtering

```rust
use copc_temporal::{GpsTime, TemporalCache};

if let Some(mut temporal) = TemporalCache::from_reader(&reader).await? {
    let start = GpsTime(1_000_000.0);
    let end   = GpsTime(1_000_010.0);

    // Query loads only the index pages needed, then returns matching nodes.
    for entry in temporal.query(reader.source(), start, end).await? {
        let hier = reader.get(&entry.key).unwrap();
        if !entry.key.bounds(&root_bounds).intersects(&query_box) { continue; }

        // Read only the points that fall within the time window.
        let range = entry.estimate_point_range(
            start, end, temporal.stride(), hier.point_count,
        );
        let chunk = reader.fetch_chunk(&entry.key).await?;
        let points = reader.read_points_range(&chunk, range)?;
    }
}
```

## Related

- [copc-converter]https://github.com/360-geo/copc-converter — CLI tool that produces COPC files with optional temporal index
- [COPC specification]https://copc.io/
- [Temporal index spec]copc-temporal/docs/temporal-index-spec.md