Marius Mutu
8bae507bbd
Adds `atm validate-calibration LABEL_FILE` subcommand that runs the Detector on a set of labeled PNG frames and reports per-sample PASS/FAIL with top-3 candidate colors and RGB-distance suggestions for failures. Exits 0 on 100% PASS, 1 on any FAIL, 2 on missing/malformed label file. - New module src/atm/validate.py with ValidationReport + SampleRecord dataclasses; reuses Detector.step(frame), does not reimplement color classification. - main.py: new `validate-calibration` subparser and _cmd_validate_calibration handler wired into the dispatch map. - samples/calibration_labels.json seeded with 3 entries from the 2026-04-17 incident, plus a README describing the schema. - tests/test_validate.py covers the 3 planned cases: PASS, FAIL w/ top-3 + suggestion, missing file (graceful error, no traceback). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
18 lines
424 B
JSON
18 lines
424 B
JSON
[
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{
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"path": "logs/fires/20260417_201500_arm_sell.png",
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"expected": "yellow",
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"note": "first arm of SELL cycle 2026-04-17"
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},
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{
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"path": "logs/fires/20260417_205302_ss.png",
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"expected": "dark_red",
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"note": "user confirmed via screenshot (missed live alert)"
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},
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{
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"path": "logs/fires/20260417_210441_ss.png",
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"expected": "light_red",
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"note": "fire phase (missed live alert)"
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}
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]
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