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atm/calibration
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Marius Mutu 8a1be979fe chore(calibration): 22 frame-uri auto-captured din sesiunea 2026-04-22 
Output din live loop (auto-capture pe schimbare de culoare) pentru
sesiunea de azi. Filename = culoare detectată de FSM (poate fi greșită).
Următorul pas manual: review și label-uire în calibration_labels.json
pentru atm validate-calibration.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-22 22:59:21 +03:00
..
frames
chore(calibration): 22 frame-uri auto-captured din sesiunea 2026-04-22
2026-04-22 22:59:21 +03:00
calibration_labels.json
test(calibration): 8 labels + 3 scenarii noi (inclusiv regresie 2026-04-21)
2026-04-21 22:35:22 +03:00
README.md
feat: calibration/ corpus + scenarii regresie FSM
2026-04-21 08:32:11 +03:00
scenarios.json
test(calibration): 8 labels + 3 scenarii noi (inclusiv regresie 2026-04-21)
2026-04-21 22:35:22 +03:00

README.md

calibration/ — frame corpus for validation & regression

Two artifacts, one frame pool:

  • calibration_labels.json — per-frame color labels. Used by atm validate-calibration to check the current palette classifies known-good dots correctly before a live session.
  • scenarios.json — ordered frame sequences per FSM scenario (full cycle, phase skip, catchup, post-fire suppression). Consumed by tests/test_scenarios_regression.py which runs each sequence through the full Detector → _handle_tick pipeline and asserts color, FSM reason/state, emitted alerts, and scheduler on/off.

Frames live in calibration/frames/ and are self-contained: purging logs/fires/ or samples/ does not break either artifact.

calibration_labels.json schema

Schema

A JSON array of entries. Each entry:

Field Type Required Description
path string yes Path to a PNG frame (relative to CWD or absolute).
expected string yes Expected color name: one of turquoise, yellow, dark_green, dark_red, light_green, light_red, gray.
note string no Freeform annotation; shown in SUGGESTIONS output.

Usage

atm validate-calibration calibration/calibration_labels.json

Exit codes:

  • 0 — every sample PASS
  • 1 — one or more FAIL
  • 2 — label file missing or malformed JSON

Adding new samples

  1. Find a screenshot in logs/fires/ whose dot color you can verify by eye.
  2. Copy it into calibration/frames/ — this directory is self-contained so logs/fires/ and samples/ can be emptied without breaking validation.
  3. Append an entry with path (pointing to calibration/frames/...), expected, and an optional note.
  4. Re-run validation. If it FAILs, the SUGGESTIONS section will tell you the RGB distance between the observed pixel and the expected color's center — use that as input for atm calibrate.