feat: calibration/ corpus + scenarii regresie FSM

- calibration/frames/: 16 PNG-uri ground-truth numite {ts}_{color}.png,
  copiate din logs/fires (izolate de samples/ și logs/fires/ care se pot goli)
- calibration/calibration_labels.json: mutat din samples/, curățat de entries
  cu fișiere inexistente, extins la acoperire completă 7 culori → 16/16 PASS
- calibration/scenarios.json: 8 secvențe FSM (BUY/SELL full cycle, phase_skip,
  catchup, post-fire suppression) pe frame-uri reale
- tests/test_scenarios_regression.py: parametrizat pe scenarios.json, asertează
  color+state+reason+trigger+alerts+scheduler prin pipeline-ul
  Detector → _handle_tick
- docs: README + CLAUDE reflectă noua structură, incidentul 2026-04-20/21
  (pixel saturat UNKNOWN → FSM blocat în PRIMED → polling continuu) +
  troubleshooting pentru trigger UNKNOWN

Pytest: 184 → 192 passed (+8 scenarii regresie).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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2026-04-21 08:32:11 +03:00
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# 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
```bash
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`.