Files

Marius Mutu 75a17f9640 feat: auto-capture scrie direct în calibration/frames/ (elimină pasul manual)

Live loop-ul dumpa frame-uri pe schimbare de culoare în samples/, iar userul
copia manual cele utile în calibration/frames/ pentru labelling și regresie.
Pas inutil — acum scrie direct în corpus.

- samples_dir → calibration/frames/ (mkdir parents=True)
- stub capture (ATM_STUB_CAPTURE pentru smoke test Linux) citește din aceeași locație
- 8 PNG-uri orfane din samples/ (20260421_*) mutate în corpus
- CLAUDE.md clarifică: filename = culoarea detectată (poate fi greșită);
  calibration_labels.json rămâne singurul ground truth (manual)

Impact zero pe validate-calibration (iterează peste labels.json, ignoră fișiere
extra) și test_scenarios_regression.py (referă doar frame-uri curate din
scenarios.json).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-04-21 22:31:06 +03:00

frames

feat: auto-capture scrie direct în calibration/frames/ (elimină pasul manual)

2026-04-21 22:31:06 +03:00

calibration_labels.json

feat: calibration/ corpus + scenarii regresie FSM

2026-04-21 08:32:11 +03:00

README.md

feat: calibration/ corpus + scenarii regresie FSM

2026-04-21 08:32:11 +03:00

scenarios.json

feat: calibration/ corpus + scenarii regresie FSM

2026-04-21 08:32:11 +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

Find a screenshot in logs/fires/ whose dot color you can verify by eye.
Copy it into calibration/frames/ — this directory is self-contained so logs/fires/ and samples/ can be emptied without breaking validation.
Append an entry with path (pointing to calibration/frames/...), expected, and an optional note.
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.