mirror of
https://github.com/ruvnet/RuView
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rUv
f49c722764
The Rust port lived two directories deep (rust-port/wifi-densepose-rs/) without any sibling under rust-port/ that warranted the extra level. Move the whole workspace up to v2/ to match v1/ (Python) at the same depth and shorten every cd / build command across the repo. git mv preserves history for all tracked files. 60 files updated for path references (CI workflows, ADRs, docs, scripts, READMEs, internal .claude-flow state). Two manual fixes for relative-cd paths in CLAUDE.md and ADR-043 that became wrong after the depth change (cd ../.. → cd ..). Validated: - cargo check --workspace --no-default-features → clean (after target/ nuke; the gitignored target/ was carried by the OS rename and had hard-coded old paths in build scripts) - cargo test --workspace --no-default-features → 1,539 passed, 0 failed, 8 ignored (same totals as pre-rename) - ESP32-S3 on COM7 → still streaming live CSI (cb #40300, RSSI -64 dBm) After-merge follow-up: contributors should `rm -rf v2/target` once and let cargo regenerate from the new path.
106 lines
4.0 KiB
Markdown
106 lines
4.0 KiB
Markdown
# wifi-densepose-geo — Geospatial Satellite Integration
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Free satellite imagery, terrain elevation, and map data for RuView spatial sensing. No API keys required.
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## What It Does
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Integrates your local sensor data (camera + WiFi CSI point cloud) with geographic context:
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- **Satellite tiles** — 10m Sentinel-2 cloudless imagery for your location
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- **Elevation** — SRTM 30m DEM for terrain modeling
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- **Buildings + roads** — OpenStreetMap data via Overpass API
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- **Weather** — Open Meteo current conditions + forecast
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- **Geo-registration** — maps local sensor coordinates to WGS84
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- **Temporal tracking** — detects changes over time (construction, vegetation, weather)
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- **Brain integration** — stores geospatial context as ruOS brain memories
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## Data Sources (all free, no API keys)
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| Source | Data | Resolution | License |
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|--------|------|-----------|---------|
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| [EOX S2 Cloudless](https://s2maps.eu/) | Satellite tiles | 10m | CC-BY-4.0 |
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| [SRTM GL1](https://portal.opentopography.org/) | Elevation/DEM | 30m | Public domain |
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| [Overpass API](https://overpass-api.de/) | OSM buildings/roads | Vector | ODbL |
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| [ip-api.com](http://ip-api.com/) | IP geolocation | ~1km | Free |
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| [Open Meteo](https://open-meteo.com/) | Weather | Point | CC-BY-4.0 |
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## Modules
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| Module | LOC | Purpose |
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|--------|-----|---------|
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| `types.rs` | 140 | GeoPoint, GeoBBox, TileCoord, ElevationGrid, OsmFeature |
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| `coord.rs` | 80 | WGS84/ENU transforms, tile math, haversine distance |
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| `locate.rs` | 45 | IP geolocation with caching |
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| `cache.rs` | 55 | Disk cache (`~/.local/share/ruview/geo-cache/`) |
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| `tiles.rs` | 80 | Sentinel-2/ESRI/OSM tile fetcher |
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| `terrain.rs` | 100 | SRTM HGT parser, elevation lookup |
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| `osm.rs` | 150 | Overpass API client, building/road extraction |
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| `register.rs` | 50 | Local-to-WGS84 coordinate registration |
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| `fuse.rs` | 70 | Multi-source scene builder + summary |
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| `brain.rs` | 30 | Store geo context in ruOS brain |
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| `temporal.rs` | 100 | Weather, OSM change detection |
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## Usage
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```rust
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use wifi_densepose_geo::{fuse, brain, temporal};
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// Build geo scene for current location
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let scene = fuse::build_scene(500.0).await?; // 500m radius
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println!("{}", fuse::summarize(&scene));
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// "Location: 43.6532N, 79.3832W, elevation 76m ASL.
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// 23 buildings within view. 8 roads nearby (King St, Queen St).
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// 12 satellite tiles at zoom 16."
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// Store in brain
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brain::store_geo_context(&scene).await?;
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// Fetch weather
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let weather = temporal::fetch_weather(&scene.location).await?;
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// temperature: 12°C, partly cloudy, humidity 65%
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```
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## Brain Integration
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Geospatial context is stored as brain memories:
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| Category | Content | Frequency |
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|----------|---------|-----------|
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| `spatial-geo` | Location, elevation, buildings, roads | On startup + daily |
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| `spatial-weather` | Temperature, conditions, humidity, wind | Nightly |
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| `spatial-change` | New/removed buildings, road changes | Nightly diff |
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The ruOS agent can search: "what buildings are near me?" or "what's the weather?" and get geospatial context from the brain.
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## Security
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- No API keys stored or transmitted
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- IP geolocation uses HTTP (not HTTPS) — location is approximate (~1km)
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- All tile fetches use HTTPS except ip-api.com
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- Path traversal protection in cache key sanitization
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- No user data sent to external services
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- All data cached locally after first fetch
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## Architecture
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```
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IP Geolocation ──→ (lat, lon)
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│
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┌─────────────┼─────────────┐
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▼ ▼ ▼
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Sentinel-2 SRTM DEM Overpass API
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(tiles) (elevation) (buildings/roads)
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│ │ │
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└─────────────┼─────────────┘
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▼
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GeoScene (fused)
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│
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┌───────┴───────┐
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▼ ▼
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Brain Memory Three.js Viewer
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```
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## License
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MIT (same as RuView)
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