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docs: fix Docker commands to use CSI_SOURCE environment variable 

The Docker image uses CSI_SOURCE env var to select the data source,
not command-line arguments appended after the image name.

Fixed:
- ESP32 mode examples now use -e CSI_SOURCE=esp32
- Training mode example now uses --entrypoint override
- Added CSI_SOURCE value table in Docker section

Fixes #226

Co-Authored-By: claude-flow <ruv@ruv.net>
This commit is contained in:
Reuven 2026-03-10 12:16:06 -04:00
parent ff91d4e8cf
commit f7d043d727
1 changed files with 17 additions and 4 deletions
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21
docs/user-guide.md
View File

@ -78,6 +78,17 @@ docker pull ruvnet/wifi-densepose:latest
Multi-architecture image (amd64 + arm64). Works on Intel/AMD and Apple Silicon Macs. Contains the Rust sensing server, Three.js UI, and all signal processing.
**Data source selection:** Use the `CSI_SOURCE` environment variable to select the sensing mode:
| Value | Description |
|-------|-------------|
| `auto` | (default) Probe for ESP32 on UDP 5005, fall back to simulation |
| `esp32` | Receive real CSI frames from ESP32 devices over UDP |
| `simulated` | Generate synthetic CSI frames (no hardware required) |
| `wifi` | Host Wi-Fi RSSI (not available inside containers) |
Example: `docker run -e CSI_SOURCE=esp32 -p 3000:3000 -p 5005:5005/udp ruvnet/wifi-densepose:latest`
### From Source (Rust)
```bash
@ -267,8 +278,8 @@ Real Channel State Information at 20 Hz with 56-192 subcarriers. Required for po
# From source
./target/release/sensing-server --source esp32 --udp-port 5005 --http-port 3000 --ws-port 3001
# Docker
docker run -p 3000:3000 -p 3001:3001 -p 5005:5005/udp ruvnet/wifi-densepose:latest --source esp32
# Docker (use CSI_SOURCE environment variable)
docker run -p 3000:3000 -p 3001:3001 -p 5005:5005/udp -e CSI_SOURCE=esp32 ruvnet/wifi-densepose:latest
```
The ESP32 nodes stream binary CSI frames over UDP to port 5005. See [Hardware Setup](#esp32-s3-mesh) for flashing instructions.
@ -679,9 +690,11 @@ Download the dataset files and place them in a `data/` directory.
./target/release/sensing-server --train --dataset data/ --dataset-type mmfi --epochs 100 --save-rvf model.rvf
# Via Docker (mount your data directory)
# Note: Training mode requires overriding the default entrypoint
docker run --rm \
-v $(pwd)/data:/data \
-v $(pwd)/output:/output \
--entrypoint /app/sensing-server \
ruvnet/wifi-densepose:latest \
--train --dataset /data --epochs 100 --export-rvf /output/model.rvf
```
@ -885,8 +898,8 @@ Binary size: 777 KB (24% free in the 1 MB app partition).
# From source
./target/release/sensing-server --source esp32 --udp-port 5005 --http-port 3000 --ws-port 3001
# Docker
docker run -p 3000:3000 -p 3001:3001 -p 5005:5005/udp ruvnet/wifi-densepose:latest --source esp32
# Docker (use CSI_SOURCE environment variable)
docker run -p 3000:3000 -p 3001:3001 -p 5005:5005/udp -e CSI_SOURCE=esp32 ruvnet/wifi-densepose:latest
```
See [ADR-018](../docs/adr/ADR-018-esp32-dev-implementation.md), [ADR-029](../docs/adr/ADR-029-ruvsense-multistatic-sensing-mode.md), and [Tutorial #34](https://github.com/ruvnet/RuView/issues/34).