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https://github.com/ruvnet/RuView
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rUv
81cc241b9e
The Rust port at v2/ has been the primary codebase since the rename in #427. The Python implementation at v1/ is no longer the active target; the only load-bearing path is the deterministic proof bundle at v1/data/proof/ (per ADR-011 / ADR-028 witness verification). Move the whole Python tree into archive/v1/ and document the policy in archive/README.md: no new features, bug fixes only when they affect a still-load-bearing path (currently just the proof), CI continues to verify the proof on every push and PR. Path references updated in 26 files via path-pattern sed (only matches v1/<known-child> patterns, never bare v1 or API URLs like /api/v1/). Two double-prefix typos (archive/archive/v1/) caught and hand-fixed in verify-pipeline.yml and ADR-011. Validated: - Python proof verify.py imports cleanly at archive/v1/data/proof/ (numpy/scipy still required; CI installs requirements-lock.txt from archive/v1/ now) - cargo test --workspace --no-default-features → 1,539 passed, 0 failed, 8 ignored (unaffected by Python tree relocation) - ESP32-S3 on COM7 untouched (no firmware paths changed) After-merge: contributors should re-run any local `python v1/...` commands as `python archive/v1/...` (CLAUDE.md and CHANGELOG already updated).
59 lines
1.6 KiB
Python
59 lines
1.6 KiB
Python
"""
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Commodity WiFi Sensing Module (ADR-013)
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=======================================
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RSSI-based presence and motion detection using standard Linux WiFi metrics.
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This module provides real signal processing from commodity WiFi hardware,
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extracting presence and motion features from RSSI time series.
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Components:
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- rssi_collector: Data collection from Linux WiFi interfaces
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- feature_extractor: Time-domain and frequency-domain feature extraction
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- classifier: Presence and motion classification from features
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- backend: Common sensing backend interface
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Capabilities:
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- PRESENCE: Detect whether a person is present in the sensing area
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- MOTION: Classify motion level (absent / still / active)
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Note: This module uses RSSI only. For higher-fidelity sensing (respiration,
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pose estimation), CSI-capable hardware and the full DensePose pipeline
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are required.
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"""
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from v1.src.sensing.rssi_collector import (
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LinuxWifiCollector,
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SimulatedCollector,
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WindowsWifiCollector,
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WifiSample,
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)
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from v1.src.sensing.feature_extractor import (
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RssiFeatureExtractor,
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RssiFeatures,
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)
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from v1.src.sensing.classifier import (
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PresenceClassifier,
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SensingResult,
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MotionLevel,
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)
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from v1.src.sensing.backend import (
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SensingBackend,
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CommodityBackend,
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Capability,
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)
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__all__ = [
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"LinuxWifiCollector",
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"SimulatedCollector",
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"WindowsWifiCollector",
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"WifiSample",
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"RssiFeatureExtractor",
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"RssiFeatures",
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"PresenceClassifier",
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"SensingResult",
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"MotionLevel",
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"SensingBackend",
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"CommodityBackend",
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"Capability",
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]
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