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Harden AI handoff smoke selectors
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Codex
2026-06-24 21:46:03 +02:00
parent aab51edee4
commit d67b85e4b5
2 changed files with 24 additions and 5 deletions
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docs/CODEX_EXECUTION_LOG.md
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@@ -3653,12 +3653,29 @@ Tested:
- `python -m pytest backend\tests\test_sprint101_ai_handoff_interaction_smoke.py -q` (`1 passed`)
- `bash -n scripts/verify_ai_handoff_interactions.sh`
- Local Node Playwright availability check failed with `ERR_MODULE_NOT_FOUND`, so live browser-click execution requires Playwright to be installed or exposed in the runner environment.
- `python -m compileall backend/app`
- `cd backend && python -m pytest -q` (`324 passed`)
- `cd frontend && npm run typecheck`
- `cd frontend && npm run build`
- `bash scripts/run_readiness_check.sh` (`324 passed`; frontend typecheck/build passed; Alembic head `202606120900`; live smoke syntax passed)
- `cd backend && python -m alembic heads` (`202606120900 (head)`)
- `cd backend && python -m alembic upgrade head --sql`
- `bash -n scripts/live_migration_smoke.sh`
- Tower deploy from commit `aab51ed` completed; all-in-one container published on `0.0.0.0:1202->80/tcp`.
- Deploy-time live migration smoke passed after the database became ready on attempt 3; PostGIS reported `3.6 USE_GEOS=1 USE_PROJ=1 USE_STATS=1`, required runtime schema objects were present and Alembic head was `202606120900`.
- Deploy-time browser runtime verification passed for frontend, API proxy and icon.
- Live smoke passed: `bash scripts/verify_demo_raster_workflow.sh http://192.168.10.150:1202`.
- Live smoke passed: `bash scripts/verify_workbench_default_state.sh http://192.168.10.150:1202`.
- Live smoke passed: `bash scripts/verify_workbench_interactions.sh http://192.168.10.150:1202`.
- Live smoke passed: `bash scripts/verify_browser_runtime.sh http://192.168.10.150:1202`.
- Live browser-click validation with Codex Playwright plus installed Chrome passed against `http://192.168.10.150:1202`: the smoke seeded the demo workflow, generated a raster tile manifest, selected the raster in Data, opened the Dataset inspector tab, clicked `Use in Detection Lab`, selected `yolo-configured`, verified Detection Lab dataset and manifest values, clicked `Use in Segmentation Lab`, verified Segmentation Lab dataset and manifest values, and observed no console/page errors.
Open:
- Complete broad validation, deploy and live runtime checks for this pass.
- None for this pass.
Limitations:
- Test/smoke tooling only; no product behavior, API contract, migration, AI dependency, provider fetching or model behavior changes.
- `scripts/verify_ai_handoff_interactions.sh` requires a runner with Playwright plus a browser. This Codex environment had Playwright available through the Node REPL and used installed Chrome; plain local `node` still reports `ERR_MODULE_NOT_FOUND` for `playwright`.
Next recommended pass:
- After validation and deploy, keep using the AI handoff smoke as the browser-level regression guard for raster-to-AI workspace wiring.