Skip redundant modulation writes during owned fast RX retunes when the last acknowledged SF/BW/CR/LDRO tuple matches. Invalidate that cache after ordinary setters, failed writes, and lifecycle changes. Include the remaining scan, preamble, settling, and memory-soak experiments, their collectors, validation notes, and original capture records. Preserve capture bytes across checkouts and keep private soak credentials local. Run lab collector and compiled contract tests in CI. Update the expectation, profile mapping, and result-buffer tests for the extended lab tools, and make the private WiFi override header optional for ordinary soak diagnostics. Validation: 145 host tests passed from the staged source snapshot. Clean heltec_v4_repeater and Xiao_S3_WIO_companion_radio_usb builds passed their RAM/flash gates. All 229 staged capture files retain their original bytes; all 75 local documentation links resolve in the clean snapshot.
79 lines
4.9 KiB
Python
79 lines
4.9 KiB
Python
"""Summarize the immutable full-sample capture; never connect to radios."""
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import argparse
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import json
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import ast
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import hashlib
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from pathlib import Path
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import statistics
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from profile_four_tx import check_scan,check_sent
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from profile_four_tx_fixture import TXS
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from profile_switch_channels import packet_error_summary,channel_dwell_us
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parser=argparse.ArgumentParser(description=__doc__)
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parser.add_argument('--input',type=Path,default=Path(__file__).with_name('profile_four_tx_sf10_single_results.json'))
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parser.add_argument('--output',type=Path)
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args=parser.parse_args()
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p=args.input
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output=args.output or p.with_name(p.stem.removesuffix('_results')+'_validated.json')
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if output.exists():parser.error('Output already exists; preserve previous validation')
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r=json.loads(p.read_text())
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level=r['levels'][0]
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trials=level['trials']
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if (r['sf']!=10 or r['bw_khz']!=125 or r['preamble_symbols']!=32
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or r['dwell_us']!=channel_dwell_us(10,r['dwell_symbols'])
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or level['config']['dwell_us']!=r['dwell_us']):
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raise RuntimeError('Requested and acknowledged radio/dwell settings disagree')
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if len(trials)!=400 or any(c['attempted']!=100 for c in level['per_channel']):
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raise RuntimeError('Not a complete 400-packet capture')
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if len({t['sequence'] for t in trials})!=400:raise RuntimeError('Duplicate probe sequence')
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recovery=None
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status=level.get('status')
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if status is None:
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prefix='Actual RX command counts/policies/counts disagree: '
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if not r.get('error','').startswith(prefix):raise RuntimeError('No complete final telemetry')
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status=ast.literal_eval(r['error'][len(prefix):])
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recovery='Final status preserved verbatim in original collector error; zero-modulation assertion was overly strict for post-packet RX staging.'
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check_scan(status,400,sum(t['valid'] for t in trials))
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all_trials=[t for b in r['baseline'] for t in b['trials']]+trials
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if len(all_trials)!=800 or len({t['sequence'] for t in all_trials})!=800:raise RuntimeError('Incomplete/duplicate baseline or scan probes')
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for ch,target in enumerate(TXS):
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selected=[t for t in all_trials if t['channel']==ch]
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if len(selected)!=200:raise RuntimeError('Missing transmitter probes')
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for count,trial in enumerate(selected,1):
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check_sent(trial['sent'],target,count)
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if trial['sent']['sent']!=trial['sequence'] or trial['received']['received']!=trial['sequence']:
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raise RuntimeError('Response sequence mismatch')
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if trial['valid'] and (trial['received']['channel']!=ch or trial['received']['payload_channel']!=ch
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or trial['received']['len']!=16):
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raise RuntimeError('Accepted payload mismatch')
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for b in r['baseline']:
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if len(b['trials'])!=100 or not b['complete'] or b['received']!=100:
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raise RuntimeError('Stationary control did not fully pass')
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if r['complete']:
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if (r.get('phase')!='complete' or len(r.get('sender_final',[]))!=4
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or any(i.get('packet_count')!=200 or not i.get('prepared') or i.get('failed')
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for i in r['sender_final'])):
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raise RuntimeError('Final transmitter lifetime checks missing or mismatched')
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def signals(ts):
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rows=[t['received'] for t in ts if t['received'].get('valid') or t['received'].get('payload_valid')]
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return {k:dict(n=len(v),mean=statistics.mean(v),min=min(v),max=max(v))
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for k in ('rssi','snr') if (v:=[x[k] for x in rows if k in x])}
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summary=dict(sampling_complete=True,post_run_validation_passed=True,original_collector_complete=r['complete'],
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raw_capture_sha256=hashlib.sha256(p.read_bytes()).hexdigest(),validation_note=recovery,
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started_utc=r['started_utc'],finished_utc=r.get('finished_utc'),
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dwell_symbols=r['dwell_symbols'],dwell_us=r['dwell_us'],rates=packet_error_summary(trials,4),
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status=status,baseline=[dict(channel=b['channel'],received=b['received'],
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signals=signals(b['trials']),status=b['status']) for b in r['baseline']],
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per_tx=[dict(channel=ch,signals=signals([t for t in trials if t['channel']==ch])) for ch in range(4)],
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missing=[dict(attempt=i+1,round=t['sample_round'],channel=t['channel'],received=t['received'],
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pause_ms=t['pause_ms'],tx=t['sent']) for i,t in enumerate(trials) if not t['valid']],
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unique_tx_sequences=len({t['sequence'] for b in r['baseline'] for t in b['trials']}|{t['sequence'] for t in trials}),
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tx_configuration_commands_during_packets=sum(t['sent']['rf_commands']+t['sent']['modulation_commands']
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for t in trials+[t for b in r['baseline'] for t in b['trials']]),
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transport_replays=sum(bool(t['received'].get('transport_recovered'))+bool(t['sent'].get('transport_recovered'))
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for t in trials+[t for b in r['baseline'] for t in b['trials']]))
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with output.open('x') as f:json.dump(summary,f,indent=2);f.write('\n')
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print(json.dumps(summary,indent=2))
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