No-AI desktop path: PyQt bot wired to the page
- templates/bot_runner.py (new, no Qt): runs the bot as a child process (unbuffered, UTF-8), tails its output, keeps raw lines in bot_raw.log, and turns lines into step/log/status events. Step markers and friendly rules use specific substrings, first match wins; unmatched error lines are always shown, other unmatched lines hidden. Dry run: python dashboard/bot_runner.py prints the events the page would get. - bridge.py: delegates to bot_runner, one run at a time, restores the saved dark mode on every page load (fixes sample-data mode in PyQt), adds load_latest_report / download_report slots the page calls. - SKILL.md: skip the stack question for a PyQt project; desktop wiring steps from the bot's real output; verify steps for the host. - tests: assert-based self-check for the line logic and run loop; Seam 1 run replay (status dot, Run button, steps, log) and wired-page mode; fixture b-pyqt-bot and its Seam 2 eval (all 14 checks pass). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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@@ -2,6 +2,7 @@
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All updates use one envelope: `{"event": "<name>", "data": {...}}`.
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- **Desktop (PyQt):** Python calls `window.__pyMsg(json)` via `runJavaScript` (see `bridge.py`).
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`bot_runner.py` turns the bot's output lines into `status`, `step` and `log` events, and keeps every raw line in `bot_raw.log`.
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- **Web:** the page polls `GET {API_BASE}/dashboard` (returns `dashboard_data`) and
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`GET {API_BASE}/run/status` → `{"running": bool, "events": [envelope, ...]}`. Poll fast (2s) only while running.
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- **No bot yet:** with `SAMPLE_DATA = true`, the page answers its own data actions with sample envelopes.
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