mirror of
https://github.com/gadgethd/ukmesh.git
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BenandClaude Opus 4.6
7994e13175
Backend: derive observer IATA from packet topic instead of node table, send messages separately in WS initial state, add tiered prefix/edge priors to lazy path resolver for more accurate hash disambiguation. Frontend: add SeoHead, JsonLd, and vite-seo plugin for per-route meta tags and structured data. Add earth-curvature correction to custom LOS tool. Owner portal last-hop chart supports hiding/showing individual series with cookie persistence. Feed page and path map refactored. Cache-busting build filenames. Track firstSeenTs on aggregated packets. Infra: serve robots.txt and sitemap.xml via nginx, add manifest.json, reduce Mosquitto log verbosity. Viewshed worker supports per-node antenna heights, configurable profile step, and SNR-median calibration. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
import math
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import os
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import time
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ANTENNA_HEIGHT_M = 5
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COVERAGE_TARGET_HEIGHT_M = 5
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LINK_LOS_MAX_V = float(os.environ.get('LINK_LOS_MAX_V', '1.12'))
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K_FACTOR = 4 / 3
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R_EARTH_M = 6_371_000
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FREQ_MHZ = 868.0
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LAMBDA_M = 3e8 / (FREQ_MHZ * 1e6)
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PROFILE_STEP_M = float(os.environ.get('PROFILE_STEP_M', '100.0'))
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DEFAULT_USABLE_PATH_LOSS_DB = float(os.environ.get('DEFAULT_USABLE_PATH_LOSS_DB', '137.5'))
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CALIBRATION_REFRESH_S = int(os.environ.get('COVERAGE_CALIBRATION_REFRESH_S', '900'))
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CALIBRATION_MIN_LINKS = int(os.environ.get('COVERAGE_CALIBRATION_MIN_LINKS', '24'))
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CALIBRATION_MIN_OBSERVED_COUNT = int(os.environ.get('COVERAGE_CALIBRATION_MIN_OBSERVED_COUNT', '3'))
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CALIBRATION_MAX_THRESHOLD_BOOST_DB = float(os.environ.get('COVERAGE_CALIBRATION_MAX_THRESHOLD_BOOST_DB', '2'))
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CALIBRATION_PERCENTILE = float(os.environ.get('COVERAGE_CALIBRATION_PERCENTILE', '0.9'))
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CALIBRATION_EXTRA_MARGIN_DB = float(os.environ.get('COVERAGE_CALIBRATION_EXTRA_MARGIN_DB', '0.5'))
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RF_CALIBRATION = {
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'usable_path_loss_db': DEFAULT_USABLE_PATH_LOSS_DB,
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'signal_thresholds_db': {
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'green': max(116.0, DEFAULT_USABLE_PATH_LOSS_DB - 16.0),
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'amber': max(124.0, DEFAULT_USABLE_PATH_LOSS_DB - 8.0),
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'red': DEFAULT_USABLE_PATH_LOSS_DB,
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},
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'samples': 0,
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'updated_at': 0.0,
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}
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RADIO_NEIGHBOR_SYNC = {
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'updated_at': 0.0,
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}
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def current_usable_path_loss_db() -> float:
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return float(RF_CALIBRATION['usable_path_loss_db'])
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def current_signal_thresholds_db() -> dict[str, float]:
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return dict(RF_CALIBRATION['signal_thresholds_db'])
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def radio_snr_band(snr_db):
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if snr_db is None or not math.isfinite(float(snr_db)):
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return 'unknown'
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snr = float(snr_db)
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if snr >= 8.0:
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return 'strong'
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if snr >= 2.0:
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return 'medium'
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if snr >= 0.0:
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return 'weak'
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return 'poor'
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