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https://github.com/ruvnet/RuView
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fix open issue release blockers
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@@ -52,14 +52,16 @@ jobs:
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target: esp32s3
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sdkconfig: sdkconfig.defaults
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partition_table_name: partitions_display.csv
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size_limit_kb: 1100
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size_warn_kb: 1100
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size_limit_kb: 1152
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artifact_app: esp32-csi-node.bin
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artifact_pt: partition-table.bin
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- variant: 4mb
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target: esp32s3
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sdkconfig: sdkconfig.defaults.4mb
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partition_table_name: partitions_4mb.csv
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size_limit_kb: 1100
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size_warn_kb: 1100
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size_limit_kb: 1152
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artifact_app: esp32-csi-node-4mb.bin
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artifact_pt: partition-table-4mb.bin
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# ADR-110: ESP32-C6 research target (Wi-Fi 6 / 802.15.4 / TWT / LP-core)
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@@ -67,7 +69,8 @@ jobs:
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target: esp32c6
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sdkconfig: sdkconfig.defaults
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partition_table_name: partitions_4mb.csv
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size_limit_kb: 1100
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size_warn_kb: 1100
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size_limit_kb: 1152
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artifact_app: esp32-csi-node-c6.bin
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artifact_pt: partition-table-c6.bin
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@@ -96,18 +99,23 @@ jobs:
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make test_adr110
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./test_adr110
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- name: Verify binary size (< ${{ matrix.size_limit_kb }} KB gate)
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- name: Verify binary size budget
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working-directory: firmware/esp32-csi-node
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run: |
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BIN=build/esp32-csi-node.bin
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SIZE=$(stat -c%s "$BIN")
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MAX=$((${{ matrix.size_limit_kb }} * 1024))
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WARN=$((${{ matrix.size_warn_kb }} * 1024))
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echo "Binary size: $SIZE bytes ($(( SIZE / 1024 )) KB)"
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echo "Warning at: $WARN bytes (${{ matrix.size_warn_kb }} KB)"
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echo "Size limit: $MAX bytes (${{ matrix.size_limit_kb }} KB)"
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if [ "$SIZE" -gt "$MAX" ]; then
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echo "::error::Firmware binary exceeds ${{ matrix.size_limit_kb }} KB size gate ($SIZE > $MAX)"
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exit 1
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fi
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if [ "$SIZE" -gt "$WARN" ]; then
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echo "::warning::Firmware binary exceeds the ${{ matrix.size_warn_kb }} KB soft budget ($SIZE > $WARN); hard limit is ${{ matrix.size_limit_kb }} KB"
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fi
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echo "Binary size OK: $SIZE <= $MAX"
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- name: Verify flash image integrity
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@@ -3,6 +3,8 @@ import time
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import os
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import sys
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import pytest
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# Add project root and archive/v1 to sys.path so we can import src modules
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "../../../../")))
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "../../")))
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@@ -47,12 +49,7 @@ async def run_test():
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# In pre-fix code, psutil.cpu_percent(interval=1) blocks for 1.0s,
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# causing a gap of >1.0s. With our fix, it should be close to 0.1s.
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if max_gap >= 0.35:
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print("FAIL: Event loop was frozen/blocked!")
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sys.exit(1)
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else:
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print("SUCCESS: Event loop remained fully responsive during metrics query!")
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sys.exit(0)
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return max_gap, duration
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@pytest.mark.asyncio
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async def test_get_system_metrics_does_not_starve_event_loop():
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@@ -1861,6 +1861,23 @@ node scripts/eval-wiflow.js \
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--data data/paired/*.jsonl
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```
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> **Model format boundary:** `train-wiflow-supervised.js` produces the
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> JavaScript WiFlow model `wiflow-v1.json`. There is currently no supported
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> command that converts that JSON model into the sensing server's binary RVF
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> container, and renaming the file to `.rvf` does not convert it. Use the JSON
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> model with the JavaScript evaluation/inference tools. To train a model that
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> the Rust sensing server can load, use its native training path, which writes
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> RVF directly:
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>
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> ```bash
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> cargo run -p wifi-densepose-sensing-server --release -- \
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> --train --dataset data/mmfi --dataset-type mmfi \
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> --epochs 100 --save-rvf models/room-model.rvf
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> ```
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>
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> The camera+CSI paired JSONL workflow and the native RVF trainer are separate
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> pipelines today. A JSON-to-RVF exporter is future work.
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**Evaluation protocol matters.** Use `eval-wiflow.js` (torso-normalized
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PCK@20, the metric comparable to published WiFi-pose results) on a temporal
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hold-out, and sanity-check that predictions actually vary across frames
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@@ -1 +1 @@
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0.7.0
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0.8.4
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@@ -5044,6 +5044,18 @@ async fn calibration_status(State(state): State<SharedState>) -> Json<serde_json
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}
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}
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/// Compatibility surface used by the bundled dashboard. Activity history is
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/// not persisted by the Rust server yet, so return an honest empty collection
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/// instead of advertising the endpoint and responding with 404.
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async fn pose_activities() -> Json<serde_json::Value> {
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Json(serde_json::json!({
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"activities": [],
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"total": 0,
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"persisted": false,
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"message": "Activity history is not persisted by the Rust sensing server.",
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}))
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}
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/// Generate a simple timestamp string (epoch seconds) for recording IDs.
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fn chrono_timestamp() -> u64 {
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std::time::SystemTime::now()
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@@ -7782,6 +7794,13 @@ async fn main() {
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.route("/api/v1/pose/current", get(pose_current))
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.route("/api/v1/pose/stats", get(pose_stats))
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.route("/api/v1/pose/zones/summary", get(pose_zones_summary))
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.route("/api/v1/pose/activities", get(pose_activities))
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// Dashboard-compatible aliases for the field-model calibration API.
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.route("/api/v1/pose/calibrate", post(calibration_start))
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.route(
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"/api/v1/pose/calibration/status",
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get(calibration_status),
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)
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// Stream endpoints
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.route("/api/v1/stream/status", get(stream_status))
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.route("/api/v1/stream/pose", get(ws_pose_handler))
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