gps-denied-onboard/_docs/03_implementation/run_tests_step11_report.md

Step 11 — Run Tests (Cycle 1)

TL;DR

• Local Tier-1 pytest suite: 3343 passed / 88 skipped / 0 failed (after the --csv collision fix landed in eb6dc17).
• Docker Tier-1 SUT Reality Gate: NOT MET. Both docker harnesses (top-level scripts/run-tests.sh and the fuller e2e/docker/run-tier1.sh) have pre-existing drift that prevents them from running end-to-end. None of the drift was caused by Step 10 work — the harnesses had simply never been bench-tested.
• Recommendation: open a single epic to rehabilitate the e2e docker harness (or two, splitting bootstrap vs. full blackbox); resume Step 11 reality-gate verification once at least the bootstrap harness can run tests/e2e/replay/ with RUN_REPLAY_E2E=1.

Local Tier-1 results

Run on 2026-05-17 against dev HEAD c64e492, then eb6dc17 after the csv_reporter fix. Split into 12 logical chunks per the human directive to avoid a monolithic 3.4k-test run:

#	Chunk	Pass	Skip	Fail
C1	tests/contract + 6× cross-cutting	87	0	0
C2	c2_5_rerank + c4_pose + c13_fdr + c11_tile_manager + c3_5_adhop	262	0	0
C3	c3_matcher + c10_provisioning	170	3	0
C4	c1_vio	148	6	0
C5	c12_operator_orchestrator	151	2	0
C6	c7_inference	139	17	0
C7	c6_tile_cache	126	57	0
C8	c8_fc_adapter	212	1	0
C9	c5_state	216	0	0
C10	c2_vpr	230	0	0
C11	tests/unit/test_*.py root-level	373	2	0
C12	e2e/_unit_tests (after fix)	1229	0	0
	TOTAL	3343	88	0

Skip classification (88 total)

Reason	Count	Verdict
Tier-2-only (GPS_DENIED_TIER=2) — Jetson Orin Nano Super hardware	14	legitimate
CUDA / NVIDIA GPU not present on macOS dev host	8	legitimate
TensorRT python binding not installed (Tier-2 Jetson only)	6	legitimate
Requires Docker compose services (postgres / mock-sat)	57	borderline — covered by docker harness when it runs
Console scripts not on PATH (pip install -e . would fix)	3	borderline — env-conditional
actionlint not on PATH (CI lint job installs separately)	1	borderline — env-conditional
Other (empty parametrize, doc-gated replay e2e)	2	legitimate

The 57 "Requires Docker compose services" skips are the largest illegitimate-per-skill cluster. They become covered the moment any docker harness runs end-to-end against postgres + mock-sat. Until then, they remain.

C12 regression that surfaced during this run

e2e/_unit_tests/reporting/test_csv_reporter.py::test_csv_plugin_emits_required_columns and two sibling tests in test_nfr_recorder.py failed with:

argparse.ArgumentError: argument --csv: conflicting option string: --csv

inside subprocess-spawned pytest invocations. Root cause: pytest-csv 3.0.0 was listed in e2e/runner/requirements.txt and auto-loaded via entry-point, conflicting with our custom --csv flag from e2e/runner/reporting/csv_reporter.py. The conftest comment claimed our plugin "overrides" pytest-csv, but pytest's option registry does not allow overrides — it raises on conflict. pytest-csv is also incompatible with pytest 9.x (uses removed hookwrapper marker). Our code never import pytest_csv — the dep was dead weight.

Fix landed in commit eb6dc17 [autodev] fix csv_reporter --csv collision with pytest-csv:

• Removed pytest-csv from e2e/runner/requirements.txt.
• Updated docstrings/comments in csv_reporter.py and conftest.py.
• Uninstalled pytest-csv from the local environment.

After the fix the full C12 suite reports 1229 passed in 145.93s.

Secondary finding — false-positive batch report

_docs/03_implementation/batch_89_cycle1_report.md claimed "Full e2e unit-test suite: 1229 passed in 134 s". That number was reported without an actual verifying invocation. The 3 reporting subprocess tests have been broken since pytest-csv was installed locally, but the batch report didn't catch it.

Proposed preventive rule (pending user approval, per meta-rule.mdc Self-Improvement): "Before writing 'Test Results: X passed' in a batch report, the same shell invocation that produced X must appear in the assistant transcript with the exit code visible." Will be added to meta-rule.mdc if approved.

Docker harness — findings

ID	Severity	Description	Status
H-1	medium	e2e/docker/docker-compose.test.yml referenced docker/Dockerfile; actual file is docker/companion-tier1.Dockerfile	fixed in 6ce3158
H-2	medium	fdr-output volume declared tmpfs size=64g; host Docker has 3.8 GiB	fixed in 6ce3158 (plain named volume; SUT enforces cap internally per NFT-LIM-02)
H-3	low	e2e-results/ bind dir missing at repo root	fixed in 6ce3158 (mkdir + .gitignore)
H-4	blocker	ardupilot/mavproxy:latest image MISSING from Docker Hub	deferred — see "Harness rehabilitation" below
H-5	blocker	ardupilot/ardupilot-sitl:plane-stable image MISSING from Docker Hub	deferred
H-6	blocker	inavflight/inav-sitl:9.0.0 image MISSING from Docker Hub	deferred
H-7	blocker	Top-level tests/e2e/Dockerfile entrypoint is pytest /opt/tests/e2e/scenarios (empty dir); real tests are in /opt/tests/e2e/replay/	deferred
H-8	blocker	Top-level tests/e2e/Dockerfile uses a plain python:3.10-slim and never installs the SUT package — so the gps-denied-replay console script and the project's import surface aren't available in the container	deferred
H-9	medium	tile-cache-fixture volume in e2e/docker/docker-compose.test.yml is unseeded; no builder service. AZ-595 was meant to deliver the seeder	deferred

Why H-4..H-6 are blockers, not minor drift

_docs/02_document/tests/environment.md § Docker Environment specifies three Docker Hub images for SITL/MAVLink:

• ardupilot/ardupilot-sitl:plane-stable
• inavflight/inav-sitl:9.0.0
• ardupilot/mavproxy:latest

None of the named org accounts publish to Docker Hub. Verified by docker manifest inspect — all three return MISSING. The spec was written against aspirational/imagined image names and never verified.

Real alternatives:

Spec image	Real option
ardupilot/ardupilot-sitl:plane-stable	Community images: radarku/ardupilot-sitl, khancyr/ardupilot-docker-sitl (older); or build from ardupilot/ardupilot source (~30-60 min build).
inavflight/inav-sitl:9.0.0	No good published image. Build from iNav source (multi-hour).
ardupilot/mavproxy:latest	Doesn't exist. Wrap pip install MAVProxy in a python:3.10-slim Dockerfile (~10 lines).

Why H-7 and H-8 matter

scripts/run-tests.sh is the test-run skill's "first match" runner — but its Dockerfile points at an empty scenarios dir and never installs the SUT package. Even if H-7 is fixed by repointing to /opt/tests/e2e/, the heavy tests in tests/e2e/replay/test_derkachi_1min.py require the gps-denied-replay console script which only exists when the SUT package is pip install-ed into the runner image. So H-7 + H-8 are coupled.

SUT Reality Gate verdict

Per test-run/SKILL.md § Functional Mode → 0. System-Under-Test Reality Gate:

1. If _docs/00_problem/input_data/expected_results/results_report.md exists, at least one e2e/blackbox run must compare actual product outputs against that mapping or the machine-readable files it references.

results_report.md exists and contains:

• Still-image frame centers (60 images → expected WGS84 lat/lon, ±50 m primary, ±20 m stretch).
• Derkachi video/IMU fixture (validation rules for telemetry CSV, video stream, alignment, trajectory comparison).

The 41 blackbox scenarios in e2e/tests/ (functional/FT-* for the still-image set, performance/NFT-PERF-* for replay latency, resilience/NFT-RES-* for failure modes) exist and would exercise this mapping. None of them ran in this cycle because:

1. They require the e2e/docker/run-tier1.sh harness, blocked by H-4..H-6.
2. The fallback bootstrap harness (scripts/run-tests.sh → tests/e2e/replay/) is blocked by H-7 + H-8.

Verdict: Reality Gate UNMET. Local pytest verifies internal modules but does NOT compare actual product outputs against results_report.md. The skill defines this as a blocking gate.

Harness rehabilitation — proposed work

Three independent tracks; tracks 1 and 2 are required for the Reality Gate, track 3 is a nice-to-have for FC-side acceptance tests.

Track 1 — Bootstrap harness (fastest path to a real Reality Gate)

Fix H-7 + H-8 so scripts/run-tests.sh actually runs tests/e2e/replay/test_derkachi_1min.py with RUN_REPLAY_E2E=1. Steps:

1. Change tests/e2e/Dockerfile entrypoint from pytest /opt/tests/e2e/scenarios to pytest /opt/tests/e2e/.
2. Install the SUT package in the runner image so gps-denied-replay is on PATH. Either pip install -e . from the host source (requires bind-mount or COPY) or build a wheel and pip install it.
3. Inject RUN_REPLAY_E2E=1 into the e2e-runner service environment in docker-compose.test.yml.
4. Mount _docs/00_problem/input_data/ into the runner so the Derkachi fixture is reachable.
5. Verify the resulting docker run produces tests/e2e/replay/output/replay.jsonl and that AC-1 + AC-2 assertions actually fire.

Estimated effort: ~4-6 hours including verification on dev workstation + CI.

Coverage: still-image reality gate still won't run from this harness (it's in e2e/tests/functional/FT-* which Track 2 owns). But Derkachi tlog comparison runs, which is itself a reality-gate signal for the replay pipeline.

Track 2 — Full blackbox harness (the real story)

The fuller e2e harness in e2e/docker/run-tier1.sh runs all 41 batch-60-89 scenarios. To get it running:

1. Decide on the SITL strategy:
   • Option a: switch to community images (radarku/ardupilot-sitl, source-built iNav).
   • Option b: strip SITL services entirely from the compose; mark SITL-dependent scenarios as skip(reason="sitl-image-unavailable, ticket=..."). ~70-80% of scenarios still run (FT-* still-image accuracy, NFT-PERF latency, NFT-LIM resource budgets, most NFT-RES resilience scenarios). FT-P-09-AP / NFT-SEC-03 / AC-4.3 / AC-NEW-2 stay skipped.
2. Replace ardupilot/mavproxy:latest with a local e2e/fixtures/mavproxy/Dockerfile that wraps pip install MAVProxy.
3. Build a tile-cache seeder service that consumes the 60 nadir reference images + Derkachi bbox and emits the FAISS index + tile manifest into the tile-cache-fixture volume. This is the long-pending AZ-595.

Estimated effort: ~3-5 days if going with Option b + AZ-595; ~1-3 weeks if going Option a with full SITL coverage.

Track 3 — Tier-2 Jetson hardware loop (AZ-444)

Out of scope for this report; documented in environment.md § Execution instructions — Tier-2 (Jetson hardware loop). Requires Jetson Orin Nano Super hardware + JetPack 6.2 + a self-hosted runner.

Recommendations

1. Treat Step 11 as PARTIALLY MET for cycle 1: local Tier-1 green, Reality Gate deferred to a follow-on cycle. Document this honestly in the autodev state instead of marking Step 11 complete.
2. Open Jira tickets (or replay via leftovers if MCP is not invoked immediately):
   • [Bug] csv_reporter --csv collides with pytest-csv autoload (2 pts) — fix already in commit eb6dc17, ticket just records the regression.
   • [Epic] E2E Tier-1 harness rehabilitation with sub-tasks: H-4..H-9 each as a child story (2-5 pts each).
   • [Story] Tile-cache fixture builder — AZ-595 already exists; link H-9 to it.
3. Add the preventive meta-rule about transcript-verified test claims, if approved.
4. Resume Step 11 after Track 1 completes — at minimum get one real Reality Gate signal from tests/e2e/replay/. Track 2 can run in parallel as its own work stream and feed back into Step 11 cycle 2.

Path 3 attempt — Full SITL with community images (2026-05-17, post-blocker)

Per user direction, attempted the "Full path" rehab: switch ArduPilot SITL to sparlane/ardupilot-sitl:Plane-latest (verified pullable), build iNav SITL from source, write MAVProxy Dockerfile, then run FT-P-01 / FT-P-02 against the real fixture builders.

Key reframe discovered during attempt: e2e/runner/helpers/sitl_observer.py is pure offline fixture replay, not a live SITL client (see file docstring + _FdrReplayObserver class). Setting E2E_SITL_REPLAY_DIR=... switches the observer to read pre-built JSON fixtures (observer_<fc_kind>_<host>.json). No live SITL container needed for the existing blackbox FT-P-* and NFT-* tests. The compose-file SITL services in environment.md are aspirational future state.

So the realistic Full Path is:

1. Install SUT locally (pip install -e .) — DONE.
2. Run e2e.fixtures.sitl_replay_builder.build_p01_fixtures to produce e2e/fixtures/sitl_replay/p01/ — BLOCKED (see below).
3. Run pytest on e2e/tests/positive/test_ft_p_01_still_image_accuracy.py with E2E_SITL_REPLAY_DIR=e2e/fixtures/sitl_replay/p01 — BLOCKED on step 2.

Trying step 2 surfaced 4 new integration drifts, on top of H-1..H-9 from the prior section:

ID	Severity	Description	Status
H-10	blocker	Fixture builder calls gps-denied-replay --fdr-out PATH. The CLI's actual arg name is --output.	not fixed
H-11	blocker	Fixture builder doesn't pass the CLI's required --camera-calibration, --config, --mavlink-signing-key args. Need to add fields to FixtureBuilderConfig and update build_p01_fixtures.py / build_p02_fixtures.py.	not fixed
H-12	medium	tests/fixtures/calibration/adti26.json declared body_to_camera_se3 as {rotation_xyzw, translation_xyz_m} dict; loader at runtime_root/_replay_branch.py:308 strictly expects a 4×4 matrix via np.asarray(..., dtype=np.float64). The dict form was never parseable.	fixed — converted to 4×4 identity (tests/fixtures/calibration/adti26.json). Equivalent rotation/translation, no behavior change.
H-13	blocker	Auto-sync AC-8 validation hard-fails on still-image + stationary fixtures even when --time-offset-ms 0 is supplied. Validator computes a "frame-window match %" (default 95% threshold) that requires real video motion + IMU takeoff signal. The FT-P-01 fixture (60 stills + stationary IMU) has neither by design. No --skip-auto-sync or --accept-low-confidence-offset escape hatch exists.	not fixed
H-14	env-conditional	CLI requires env vars including BUILD_REPLAY_SINK_JSONL=ON to use NoopMavlinkTransport. This is documented in code comments but not in .env.example.	needs doc update

Total live harness drift count: 14 distinct items (3 fixed, 11 deferred). Each H-10..H-13 individually takes 30-60 min to fix with the right design decisions; together they exceed the safe single-session budget given the surface-area uncertainty.

Pattern: The fixture builders (AZ-598/599/600), the CLI signature (AZ-401/402), the calibration JSON schema, and the replay protocol auto-sync (AZ-405) were each implemented well in isolation but never integrated end-to-end. This is exactly what the SUT Reality Gate is designed to surface.

Path 3 verdict

Cannot reach the SUT Reality Gate in this session. Even after fixing H-12, the next gate (H-13: auto-sync hard-fail on stationary fixtures) requires a design decision: either expand the auto-sync escape hatch in the SUT, or change the fixture builder to inject a single-frame motion event, or relax AC-8 validation thresholds for stationary scenarios. Each is a non-trivial design call that warrants a Jira ticket and review, not a unilateral mid-session fix.

Updated recommendation

The Track 2 ("Full blackbox harness") track from the previous section needs to expand to include H-10..H-14 as additional sub-stories. Realistic effort: +1-2 days on top of the prior estimate. Path 3 is achievable but requires 3-5 days of focused harness rehab, not a single session.

Artifacts

• Commit eb6dc17 — csv_reporter / pytest-csv fix
• Commit 6ce3158 — e2e/docker harness drift fixes (H-1, H-2, H-3)
• Commit 5c1c35d — H-12 4×4 SE3 calibration fix + replay_config_minimal.yaml
• This report: _docs/03_implementation/run_tests_step11_report.md
• (Replayed and removed) Leftover for pytest-csv ticket → AZ-601
• (Replayed and removed) Leftover for harness epic → AZ-602 + 11 child stories

Cycle-2 Update: Track 1 Bootstrap Harness Outcome (2026-05-17 22:00 UTC)

Status: Track 1 done — Reality Gate signal is now REAL

The harness rehabilitation Epic landed as AZ-602 with 11 child stories. The user picked Track 1 (AZ-603 + AZ-604) for the shortest path to a genuine SUT Reality Gate signal. Both stories shipped together in a single PR.

What changed

• tests/e2e/Dockerfile rewritten as a three-stage Ubuntu 22.04 build:
  • stage 1: system deps (build-essential, libpq-dev, libspatialindex-dev, python3.10-venv, python3-pip)
  • stage 2: SUT editable install (pip install -e ".[dev]" into /opt/venv)
  • stage 3: slim runtime with python3, python3.10, libpq5, libspatialindex-c6, libgl1, libglib2.0-0 (OpenCV's runtime libs)
• Image layout: /opt/pyproject.toml + /opt/src/... + /opt/tests/... (bind-mounted) — mirrors the host repo so Path(__file__).resolve().parents[3] resolves to /opt and AC-4's AST scan finds src/gps_denied_onboard/components/ correctly.
• Entrypoint: pytest -q /opt/tests/e2e/ (not the empty scenarios/ dir).
• docker-compose.test.yml e2e-runner service gets the full env set (GPS_DENIED_FC_PROFILE, CAMERA_CALIBRATION_PATH, LOG_LEVEL, LOG_SINK, INFERENCE_BACKEND, FDR_PATH, TILE_CACHE_PATH, MAVLINK_SIGNING_KEY, RUN_REPLAY_E2E=1, BUILD_REPLAY_SINK_JSONL=ON) plus mounts for _docs/00_problem/input_data and writable fdr-data / tile-data named volumes.

Reality Gate run

Standalone docker run of the e2e-runner (no companion / mock-sat / db needed for AZ-404):

docker run --rm \
  -v "$PWD/tests:/opt/tests:ro" \
  -v "$PWD/_docs/00_problem/input_data:/opt/_docs/00_problem/input_data:ro" \
  -e RUN_REPLAY_E2E=1  -e BUILD_REPLAY_SINK_JSONL=ON \
  ... (full env set) ... \
  --entrypoint pytest gps-denied-onboard/e2e-runner:dev \
  -v --tb=short /opt/tests/e2e/

Result:

Outcome	Count	Tests
PASSED	17	AC-4 AST scan, AC-4b encoder byte-equality, AC-7 skip-gate, all AC-9 helpers (test_helpers.py)
FAILED	5	AC-1, AC-2, AC-5, AC-6 pace-realtime, AC-6 pace-asap
SKIPPED	1	AC-8 operator workflow (D-PROJ-2 mock-suite-sat-service not implemented)
XFAIL	1	AC-3 (calibration intrinsics unknown — documented)
Total collected	24	(vs. 0 before Track 1 — empty scenarios/ dir)

Before vs. after

Metric	Before Track 1	After Track 1
Tests collected by scripts/run-tests.sh	0 (entrypoint points at empty scenarios/)	24 (full tests/e2e/)
Tests that actually exercise the SUT	0	5 heavy ACs invoke gps-denied-replay subprocess
Exit code semantics	Vacuous 0 (no tests collected ≠ no SUT bugs)	Reflects real test outcomes
gps-denied-replay on PATH inside e2e-runner image	no (image was python:3.10-slim + pytest only)	yes (multi-stage SUT install)
Source-tree layout inside image matches repo	no (no src present)	yes (/opt/src/..., AC-4 passes)
Real SUT wall-clock per heavy AC	n/a	~21 s for the auto-sync probe (see below)

Real bug discovered

The 5 failing heavy ACs share a single root cause: tlog synth time-base mismatch.

tests/e2e/replay/_tlog_synth.py:62:

_TLOG_BASE_TIMESTAMP_US: Final[int] = 1_700_000_000_000_000  # 2023-11-14
# "The absolute value is irrelevant for replay-mode determinism;
#  only the delta-between-rows matters."  ← STALE COMMENT

The auto-sync detector in replay_input.tlog_video_adapter DOES use absolute timestamps to compute the video↔tlog offset. With the tlog anchored at Nov 2023 absolute and the synthetic video at relative t=0, auto-sync reports offset_ms=1699999995666 (~54 years) and hard-fails AC-8 (95% frame-window match threshold).

Surface signal from the SUT (the kind of log the Reality Gate was meant to surface):

ERROR replay_input.tlog_video_adapter
  kind=replay.auto_sync.ac8_validation_failed
  msg=auto-sync hard-fail: frame-window match below 95.0% with offset_ms=1699999995666
  tlog_takeoff_ns=1700000000000000000  video_motion_onset_ns=4333333333
  imu_sample_count=3000  video_frame_count=301

This is the same family as H-13 / AZ-611 (stationary FT-P-01) but on the moving Derkachi fixture with a different root cause (synth time-base, not stationary kinematics). Filed as AZ-614.

Jira state at end of cycle 2

Issue	Title	Status
AZ-602	E2E Tier-1 harness rehabilitation (Epic)	TO DO
AZ-601	csv_reporter --csv collision (fixed eb6dc17)	IN TESTING
AZ-603	H-7 Dockerfile entrypoint (Track 1)	DONE (this cycle)
AZ-604	H-8 install SUT in runner image (Track 1)	DONE (this cycle)
AZ-605	H-4..H-6 SITL strategy decision	TO DO
AZ-606	MAVProxy local Dockerfile	TO DO
AZ-607	H-9 tile-cache seeder (linked to AZ-595)	TO DO
AZ-608	H-10 fixture builder --fdr-out → --output	TO DO
AZ-609	H-11 fixture builder missing CLI args	TO DO
AZ-610	H-12 calibration JSON 4×4 (fixed 5c1c35d)	DONE
AZ-611	H-13 auto-sync hard-fail on stationary	TO DO (Track 2, decision)
AZ-612	H-14 .env.example BUILD_REPLAY_SINK_JSONL	TO DO
AZ-613	H-1..H-3 harness drift (fixed 6ce3158)	DONE
AZ-614	Derkachi tlog synth time-base mismatch	TO DO (Track 2, unblocks AC-1..AC-6)

Reality Gate verdict

Cycle-2 verdict for Step 11: Reality Gate signal is now REAL — the SUT runs end-to-end for ~21 s on the Derkachi fixture and surfaces a real auto-sync bug. Pre-Track 1, the gate was a vacuous "exit 0 with 0 tests collected" that hid every SUT issue. Track 1 was the minimum investment to make the gate honest; future cycles (Track 2 + AZ-614) will turn the failing ACs green.

Cycle-2 addendum: Jetson harness brought online (AZ-615)

The Colima harness above is "Tier-1" — ARM Linux without GPU. The SUT's pytorch_fp16_runtime (and tensorrt_runtime) hard-code .cuda() calls, so anything past auto-sync can ONLY be exercised against a real GPU. The operator's Jetson Orin Nano (JetPack 6.2.2+b24, L4T R36.5.0, nvidia-container-toolkit ≥ 1.16) was wired in as the Tier-2 harness.

Net-new artifacts (committed under AZ-615):

• tests/e2e/Dockerfile.jetson — FROM dustynv/l4t-pytorch:r36.4.0 with Tegra-tuned torch / torchvision pre-baked. Wipes the image's stale /etc/pip.conf (jetson.webredirect.org is maintainer-LAN only), upgrades pip 24→26 so the gtsam<5.0,>=4.2 constraint resolves to the only PyPI wheel for aarch64 (4.3a0, same as Colima), installs the SUT editable via system-pip + --break-system-packages.
• docker-compose.test.jetson.yml — mirror of docker-compose.test.yml with runtime: nvidia, deploy.resources.reservations.devices, and GPS_DENIED_TIER: "2" so the auto-skip hook in tests/conftest.py runs the heavy ACs instead of skipping them.
• scripts/run-tests-jetson.sh — rsync → ssh build → ssh up wrapper. Operator-side SSH alias jetson-e2e documented in _docs/03_implementation/jetson_harness_setup.md.
• @pytest.mark.tier2 applied to AC-1, AC-2, AC-3, AC-5, AC-6 in tests/e2e/replay/test_derkachi_1min.py so the same test file is the source of truth for both harnesses (Colima auto-skips tier2 via the existing pytest_collection_modifyitems hook).

Jetson smoke run (first end-to-end, 2026-05-18)

Outcome	Count	Tests
PASSED	17	AC-4 AST scan, AC-7 skip-gate, 14× AC-9 helpers
FAILED	5	AC-1, AC-2, AC-5, AC-6 pace-realtime, AC-6 pace-asap
SKIPPED	1	AC-8 (unchanged: D-PROJ-2 mock-sat stub)
XFAIL	1	AC-3 (unchanged: calibration intrinsics unknown)
Wall clock	10m09s	(vs ~5m on Colima)

Same 5 failures as Colima, same root cause (replay.auto_sync.ac8_validation_failed, offset_ms=1699999995666). AZ-614 reproduces on Jetson because the synth tlog time-base bug is architecture-independent — heavy ACs die at auto-sync, BEFORE any frame reaches the GPU. So this run validated the infrastructure (image builds, GPU exposed, SUT runs, pytest collects 24) but did NOT yet exercise ALIKED / DISK LightGlue on the actual GPU. The 2× wall delta vs Colima is the cost of CUDA + torch + TensorRT initialization in the per-test SUT subprocess.

Implication for Track 2: fixing AZ-614 is the gating prerequisite for ANY Reality-Gate-grade signal from the heavy ACs. Until then, Jetson and Colima are indistinguishable — same green light ACs, same failed heavy ACs. Once AZ-614 lands, the two harnesses divide cleanly: Colima keeps exercising the light path (AC-4 / AC-7 / AC-9 plus auto-sync), Jetson covers the heavy path (AC-1 / AC-2 / AC-5 / AC-6 plus the GPU inference stages they entail).

Lessons learned (committed to setup doc)

• nvcr.io/nvidia/l4t-base is deprecated in JetPack 6; l4t-pytorch has no R36 tags; l4t-jetpack:r36.4.0 exists but ships no PyTorch. dustynv/l4t-pytorch:r36.4.0 (Docker Hub) is the only off-the-shelf Jetson base image with Tegra-tuned PyTorch wheels for R36.
• nvidia-container-runtime mounts nvidia-smi + CUDA libs from the host into any container at runtime, so the GPU-exposure smoke test doesn't need a 5 GB l4t-jetpack pull — ubuntu:22.04 nvidia-smi (80 MB) suffices.
• The dustynv image bakes a private pip mirror into /etc/pip.conf; builds in any other network must wipe it AND pin --index-url to upstream PyPI.
• git LFS-tracked fixtures (the 269 MB Derkachi mp4) must be pre-smudged on the Mac BEFORE the rsync step; otherwise the Jetson receives the 134 B pointer and tests fail at fixture-load.

Cycle-3 addendum: AZ-614 + AZ-611 landed; next blocker is airborne bootstrap (AZ-618)

Date: 2026-05-18. Track-2 Reality-Gate work continued on Jetson with two SUT-side fixes layered on top of the AZ-615 harness.

Commits landed this cycle

Commit	Ticket	What
e114bfd	AZ-614	_TLOG_BASE_TIMESTAMP_US = 0 so the synth tlog shares the video's t=0 anchor
bd41956	AZ-611	--skip-auto-sync CLI flag + ReplayConfig.skip_auto_sync_validation field + 5 unit tests
324bbd6	AZ-602	docker-compose.test.yml + docker-compose.test.jetson.yml: set all three replay BUILD_* flags
b7012d2	AZ-615	scripts/run-tests-jetson.sh: resolve ~ against remote $HOME before the heredoc cd

Jetson rerun progression

Each rerun isolated one fix to keep the diagnostic signal clean.

Rerun	Run scope	tlog_takeoff_ns	resolved offset_ms	Failure layer
Pre-fix (915484.txt)	AZ-614 unverified	1.7e18 (53 yr anchor)	1.7e12 (~53 yr)	auto-sync AC-9
Rerun 1 (527631.txt)	AZ-614 only	0	-4334 (~4.3 s)	auto-sync AC-9 (false-positive motion)
Rerun 2 (224191.txt)	AZ-614 + AZ-611	0	0 (manual, validation skipped)	runtime_root build flag (BUILD_VIDEO_FILE_FRAME_SOURCE)
Rerun 3 (110515.txt)	+ AZ-602 build flags	0	0	runtime_root airborne_bootstrap ← NEW

Reality-Gate verdict (cycle 3)

The Jetson run now successfully:

• Reads the synth tlog (message_counts: SCALED_IMU2/ATTITUDE/GPS_RAW_INT/HEARTBEAT)
• Opens VideoFileFrameSource against the 269 MB Derkachi mp4
• Opens TlogReplayFcAdapter and JsonlReplaySink
• Logs replay.compose_root.ready: pace=asap resolved_offset_ms=0 auto_sync_used=false

…then immediately crashes inside runtime_root.airborne_bootstrap:

runtime_root: airborne_bootstrap: component 'c4_pose' requires
pre_constructed['c282_ransac_filter'] to be populated before
compose_root() runs; available keys in constructed:
['clock', 'fc_adapter', 'frame_source', 'mavlink_transport', 'replay_sink'].
Production main() must build infrastructure (c13_fdr, c6_*, c7_inference, etc.)
into pre_constructed and pass it to compose_root(config, pre_constructed=...).

This affects both live and replay binaries. Every prior "green" Reality-Gate run died at auto-sync (AZ-614 root cause) BEFORE the composition graph was walked, so the gap stayed hidden through Track 1 + AZ-615. AZ-591 registered the strategy wrappers; runtime_root.main() still does not construct the infrastructure dependencies those wrappers consume. The 38 unit tests for compose_root pass only because they inject a stub factory via the replay_components_factory kwarg, bypassing the bootstrap entirely.

Filed as AZ-618 (Story under AZ-602, 5 pts capped per local rules, with a 6-subtask split recommended during refinement: c13_fdr+clock, c6_*, c7_inference, c3_lightglue+feature_extractor, c2_82_ransac_filter, integration wiring).

Tier-2 e2e count breakdown (Cycle 3)

Same 5 failures, three layers deeper into the SUT than Cycle 2.

Outcome	Count	Tests
PASSED	17	AC-4 AST scan, AC-7 skip-gate, 14× AC-9 helpers
FAILED	5	AC-1, AC-2, AC-5, AC-6 pace-realtime, AC-6 pace-asap
SKIPPED	1	AC-8 (unchanged: D-PROJ-2 mock-sat stub)
XFAIL	1	AC-3 (unchanged: calibration intrinsics unknown)
Wall clock	20s	(vs ~10 min Cycle 2: now fails fast at composition root instead of timing out at auto-sync)

Jira state at end of cycle 3

Issue	Title	Status
AZ-602	E2E Tier-1 harness rehabilitation (Epic)	TO DO (Track-2 still in progress)
AZ-611	Auto-sync escape hatch (--skip-auto-sync)	DONE this cycle
AZ-614	Derkachi tlog synth time-base mismatch	DONE this cycle
AZ-615	Jetson Tier-2 harness	DONE (+ tilde-fix this cycle)
AZ-618	Airborne main() must build pre_constructed infrastructure for compose_root	NEW — TO DO (next Reality-Gate blocker)

Discovered followup (no commits, just a note)

scripts/run-tests-jetson.sh still does docker compose up against the docker-compose.test.jetson.yml runner stack, which tries to pull operator-orchestrator:dev etc. from Docker Hub (they only exist as local build tags). Rerun 3 worked around this by skipping compose entirely and invoking docker run --rm --runtime=nvidia --gpus all gps-denied-onboard/e2e-runner:jetson … directly. Compose isn't needed until the test reaches into the DB / mock-sat / companion services — which currently never happens because the run dies at airborne_bootstrap. Recommend revisiting the script after AZ-618 lands so the compose dependency graph is meaningful.