Cycle-3 addendum captures the layered Jetson rerun progression:
synth time-base fix (AZ-614) drops offset_ms from 1.7e12 to -4334;
AZ-611 skip-auto-sync then crosses the AC-9 validator; AZ-602
build-flag completeness opens VideoFileFrameSource and
TlogReplayFcAdapter; composition root logs
'replay.compose_root.ready: auto_sync_used=false', then crashes
inside runtime_root.airborne_bootstrap because production main()
never builds c13_fdr / c6_* / c7_inference / c3_lightglue_runtime /
c3_feature_extractor / c2_82_ransac_filter into pre_constructed.
The bootstrap gap is filed as AZ-618 (Story under AZ-602). It
affects both live and replay binaries -- every prior Reality-Gate
run died at auto-sync before the composition graph was walked, so
the gap was hidden. The 38 compose_root unit tests pass only via
the replay_components_factory stub kwarg, which bypasses the
bootstrap entirely.
Autodev sub_step advances to phase 8
'az614-az611-landed-bootstrap-gap-discovered' pending the user's
decision on whether to start AZ-618 immediately or close out
Step 11 with the current Reality-Gate signal.
Co-authored-by: Cursor <cursoragent@cursor.com>
Records the first Jetson Tier-2 run results in the step-11 report:
17 pass / 5 fail / 1 skip / 1 xfail (24 total, 10m09s) — identical to
Colima because all 5 failures hit AZ-614 (tlog time-base mismatch)
BEFORE reaching the GPU. So the infrastructure is proven (image
builds, GPU exposed inside container, SUT subprocess runs to the
auto-sync stage) but the heavy ACs haven't yet exercised ALIKED /
DISK LightGlue. Fixing AZ-614 is the gating prerequisite to actually
drive the GPU stages.
Also captures lessons learned that are now in the setup doc:
* Only dustynv/l4t-pytorch:r36.4.0 is a usable Jetson PyTorch base
on Docker Hub for R36 / JetPack 6 (l4t-base deprecated, official
l4t-pytorch has no R36 tags).
* The dustynv image bakes a maintainer-LAN-only pip mirror into
/etc/pip.conf — must be wiped + --index-url pinned to pypi.org.
* pip 24.2 (image default) rejects gtsam-4.3a0 pre-release; pip 26.x
accepts the same wheel for `gtsam<5.0,>=4.2` because there are no
stable aarch64 builds. Upgrade pip in the build, don't relax pin.
* nvidia-container-runtime mounts nvidia-smi from host, so the GPU
smoke test needs only ubuntu:22.04 (80 MB), not l4t-jetpack (5 GB).
Autodev state advances to phase 7 / jetson-harness-online.
Co-authored-by: Cursor <cursoragent@cursor.com>
Multi-stage Ubuntu 22.04 e2e-runner image installs gps-denied-onboard
(editable) into /opt/venv so the AZ-404 replay tests can subprocess
gps-denied-replay against the Derkachi fixture. Image layout mirrors
the host repo (/opt/pyproject.toml + /opt/src + /opt/tests bind mount)
so Path(__file__).parents[3] resolves to /opt and AC-4's AST scan
finds the components dir.
Entrypoint now runs `pytest /opt/tests/e2e/` instead of the empty
`scenarios/` dir. The bootstrap harness collects 24 tests vs. 0 before.
Compose: e2e-runner env mirrors the companion service (FullSystemConfig
requirements) plus RUN_REPLAY_E2E=1, BUILD_REPLAY_SINK_JSONL=ON;
bind-mounts the Derkachi fixture dir; adds writable fdr-data /
tile-data volumes the SUT requires.
Reality Gate signal is now real: 17 pass / 5 fail / 1 skip / 1 xfail.
The 5 heavy-AC failures share root cause AZ-614 (tlog synth time-base
mismatch, surfaced by the now-functional harness).
Also archives the replayed leftover entries (csv_reporter -> AZ-601,
harness rehab -> AZ-602 epic + 11 child stories).
Co-authored-by: Cursor <cursoragent@cursor.com>
Attempted Path-3 (Full SITL with community images) for the SUT Reality
Gate. Discovered sitl_observer is offline-fixture replay, not a live
SITL client -- compose-file SITL services in environment.md are
aspirational. The real Path-3 needs the fixture builders + SUT CLI
end-to-end, which surfaced 5 additional integration drifts (H-10..H-14)
on top of the prior 9.
Fixes:
- tests/fixtures/calibration/adti26.json: body_to_camera_se3 was a
{rotation_xyzw, translation_xyz_m} dict; runtime_root/_replay_branch.py
loader strictly expects a 4x4 SE3. Identity quaternion + zero
translation = identity 4x4, semantically equivalent.
New files:
- tests/fixtures/replay_config_minimal.yaml: minimal replay-mode config
for harness reproduction (mode=replay, ardupilot_plane defaults).
- .gitignore: e2e/fixtures/sitl_replay/ (generated by build_p0X_fixtures).
Documentation:
- Step 11 report: appended Path-3 attempt section.
- Leftover doc: H-10..H-14 ticket payloads added.
- Autodev state: reflects Path-3 outcome.
Step 11 stays blocked; H-13 (auto-sync AC-8 hard-fails on stationary
fixtures) requires a SUT design decision and cannot be unilaterally
fixed mid-session.
Co-authored-by: Cursor <cursoragent@cursor.com>
Local Tier-1 pytest suite: 3343 pass / 88 skip / 0 fail across 12 chunks.
Docker harness SUT Reality Gate UNMET — both Tier-1 docker harnesses
(scripts/run-tests.sh and e2e/docker/run-tier1.sh) have pre-existing
drift that prevents them from running end-to-end. Findings:
H-1..H-3 (fixed in 6ce3158): dockerfile rename, fdr-output tmpfs cap,
e2e-results bind dir + gitignore.
H-4..H-6 (deferred): three SITL/MAVLink Docker Hub images don't exist
(ardupilot/mavproxy, ardupilot/ardupilot-sitl,
inavflight/inav-sitl). environment.md spec was
written against aspirational image names.
H-7..H-8 (deferred): tests/e2e/Dockerfile entrypoint points at empty
scenarios dir + doesn't install the SUT package.
H-9 (deferred): tile-cache-fixture seeder missing (relates to AZ-595).
Plus a regression caught and fixed mid-run: pytest-csv autoload
conflicts with our custom --csv flag (commit eb6dc17). Also surfaced a
false-positive batch-89 test-result report; proposed preventive
meta-rule pending user approval.
Step 11 marked status=blocked pending harness rehabilitation tickets
(payloads recorded in _docs/_process_leftovers/). Full outcome report:
_docs/03_implementation/run_tests_step11_report.md.
Co-authored-by: Cursor <cursoragent@cursor.com>
Oleksandr Bezdieniezhnykh