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[AZ-594] Implement core-three harness stubs (fdr_reader, frame_source_replay, imu_replay)
Replaces the NotImplementedError stubs AZ-406 reserved on three runner-
side helpers; these were stranded from any tracker ticket since
AZ-407/408 never came back to fill them. Concrete bodies:
* fdr_reader.iter_records: JSONL parser + wire-envelope validator;
recursive *.jsonl walk; projects {schema_version, ts, producer_id,
kind, payload} to runner-side FdrRecord with record_type/monotonic_ms
renames; yields oldest-first.
* frame_source_replay.replay_video: OpenCV VideoCapture decode + JPEG
re-encode; auto-detects file vs directory; injectable sleep_fn for
unit-test pacing.
* imu_replay.ImuReplayer.replay: csv.DictReader parse; degrees->radians
attitude conversion; tolerates scientific notation; same sleep_fn
injection pattern.
Adds 34 unit tests (14 + 10 + 10). Full e2e unit suite: 558 passed (+31).
Existing scenario _harness_helpers_implemented probes still return False
because they also depend on sitl_observer / fc_proxy_runtime stubs that
remain pending; scenario probe cleanup is out of AZ-594 scope.
Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
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# Harness stubs — core three (fdr_reader, frame_source_replay, imu_replay)
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**Task**: AZ-594_harness_stubs_core_three
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**Name**: Implement the three foundational e2e/runner/helpers/ stubs that AZ-406 reserved
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**Description**: Replace `NotImplementedError` stubs in `fdr_reader.iter_records`, `frame_source_replay.replay_video`, and `imu_replay.ImuReplayer.replay` with concrete bodies. Together they unblock the skip-gated scenarios from batches 71-73 once `sitl_observer` lands.
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**Complexity**: 4 points
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**Dependencies**: AZ-406, AZ-407, AZ-408
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**Component**: Blackbox Tests / Test Infrastructure (epic AZ-262)
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**Tracker**: AZ-594
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**Epic**: AZ-262 (E-BBT)
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## Problem
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AZ-406 committed to the public surface of the runner-side helpers and
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reserved each method body as `NotImplementedError`. AZ-407/408 filled
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the fixture-builder side; the runtime replay/read surfaces were
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deferred without a dedicated ticket. The skip-gated scenarios in
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batches 71-73 (`test_ft_p_07/08/10/11`, `test_ft_n_01..04`) reference
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these stubs in their `_harness_helpers_implemented` probe and skip
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cleanly until the bodies land.
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## Outcome
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- `fdr_reader.iter_records` reads `*.jsonl` files under an archive
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root and yields `FdrRecord` envelopes ordered by `monotonic_ms`.
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- `frame_source_replay.replay_video` decodes `.mp4` files or
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directories of `.jpg`/`.png` frames via OpenCV and emits to the
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injected `FrameSink` at the requested cadence.
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- `imu_replay.ImuReplayer.replay` parses `data_imu.csv` and drives a
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`FcInboundEmitter` at the configured rate.
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- Each body has ≥5 unit tests (happy path + ≥2 error paths + ≥1
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boundary case).
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## Scope
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### Included
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- The three method bodies + their unit tests.
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- Layout-test entries (already present for the helper files).
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### Excluded
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- `sitl_observer.get_observer` + `read_*` surfaces — separate ticket.
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- `fc_proxy` runtime driver — separate ticket.
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- Removing the skip-gates in existing scenarios — happens once
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`sitl_observer` lands.
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## Acceptance Criteria
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**AC-1**: `fdr_reader.iter_records` opens every `*.jsonl` file under
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the archive root, parses each line as JSON, and yields `FdrRecord`
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envelopes sorted by `monotonic_ms`. Raises `FileNotFoundError` on
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missing root.
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**AC-2**: `frame_source_replay.replay_video` accepts an `.mp4` file
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OR a directory of `.jpg`/`.png` frames; decodes via OpenCV; emits to
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the sink at the cadence (encoded FPS if `realtime`, configured FPS
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otherwise). Returns the count emitted. Raises `FileNotFoundError` on
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missing input.
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**AC-3**: `imu_replay.ImuReplayer.replay` parses the CSV at
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`csv_path`, constructs `ImuSample`s with accel/gyro/attitude/baro,
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and calls `emitter.emit(sample)` for each row. Returns the count
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emitted. Tolerates scientific-notation floats.
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**AC-4**: Each new body has ≥5 unit tests in
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`e2e/_unit_tests/helpers/` covering the happy path + 2 error paths +
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1 boundary case.
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**AC-5**: Full e2e unit-test suite passes (regression gate).
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## System Under Test Boundary
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None — these are runner-side helpers that synthesize the SUT's
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inputs and parse the SUT's FDR output. They do NOT import any
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`src/gps_denied_onboard` symbol.
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## Constraints
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- Use `opencv-python-headless` (already pinned in
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`e2e/runner/requirements.txt`).
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- `imu_replay.replay` must not block on wall-clock at the requested
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rate when called in tests; a `time.sleep`-based pacing path is
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acceptable for production use but the test must inject a fake
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clock / cadence=0 to keep unit tests fast.
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- `fdr_reader.iter_records` uses stdlib `json` (orjson is fine but
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not required at this stage — keep dependencies minimal).
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## Document Dependencies
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- `_docs/02_document/tests/blackbox-tests.md` § Test infrastructure
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- `_docs/02_tasks/done/AZ-406_test_infrastructure.md`
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- `_docs/02_tasks/done/AZ-407_fixture_builders_static.md`
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# Batch 74 Report — Harness Stubs (cycle 1, batch 8 of test phase)
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**Batch**: 74
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**Date**: 2026-05-17
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**Context**: Test implementation (greenfield Step 10 — Implement Tests)
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**Tasks**: AZ-594 (4 cp) — 1 task (umbrella ticket for the core three harness stubs)
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**Cycle**: 1
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**Verdict**: COMPLETE — PASS (self-reviewed; see `reviews/batch_74_review.md`)
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## Summary
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A planning-gap fix-up batch. The skip-gates in batches 71-73 referenced
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`AZ-441 / AZ-407 / AZ-416 leftovers` — but on inspection none of those
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tickets actually owned the deferred harness stubs (`frame_source_replay`,
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`imu_replay`, `fdr_reader`, `sitl_observer`, `fc_proxy_runtime`). The
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stubs were AZ-406 surface reservations that AZ-407/408 never came back
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to fill, and were stranded without a tracker entry.
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This batch creates a single umbrella ticket (AZ-594) and ships the
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core three of the five — the ones with the lowest implementation risk
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and the broadest unblock surface:
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* `fdr_reader.iter_records` — JSONL parser + wire-schema validator.
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* `frame_source_replay.replay_video` — OpenCV-backed decode + sink emission.
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* `imu_replay.ImuReplayer.replay` — CSV parser + emitter driver.
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The remaining two stubs (`sitl_observer.get_observer` + `read_*`
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surfaces; `fc_proxy_runtime` driver + docker wiring) need separate
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tickets — they touch live pymavlink / yamspy / TCP plumbing and don't
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fit in a single batch alongside the core three. Those become batch 75
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candidates.
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### AZ-594 — Harness stubs (core three) (4 cp)
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* **`runner/helpers/fdr_reader.py`** —
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`iter_records(fdr_archive_root)` recursively walks `*.jsonl` files,
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validates each line against the wire envelope (`schema_version, ts,
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producer_id, kind, payload`), projects onto the runner-side
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`FdrRecord` dataclass (`record_type` for `kind`; `monotonic_ms`
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derived from ISO 8601 `ts`), and yields records oldest-first. Raises
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`FileNotFoundError` on missing root + `ValueError` with file+line
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on malformed envelopes. `archive_size_bytes` body was already present.
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* **`runner/helpers/frame_source_replay.py`** — `FrameSourceReplayer`
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now backs both `replay_image_directory(dir)` and `replay_video(path)`.
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`replay_video` auto-detects file vs directory (so AZ-408 injector
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frame-directory outputs work via the same entry point). OpenCV
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`VideoCapture` decodes MP4; every frame is re-JPEG-encoded so the
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sink always receives JPEG bytes. Cadence pacing is parameterised via
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a `sleep_fn` injection so unit tests can drop wall-clock entirely.
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* **`runner/helpers/imu_replay.py`** — `ImuReplayer.replay(csv_path)`
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parses `data_imu.csv` (the AZ-408 schema with possibly scientific-
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notation floats), constructs typed `ImuSample`s with attitude
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converted from degrees → radians, and drives `FcInboundEmitter.emit`.
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Same `sleep_fn` + `realtime` injection pattern as
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`frame_source_replay` for test parity.
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## Scenario-probe interaction
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The existing `_harness_helpers_implemented` probes in batches 71-73
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pass `/tmp/non-existent` to each helper. Previously the inner
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`except NotImplementedError: return False` fired; with the new bodies,
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the outer `except Exception: return False` catches the
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`FileNotFoundError` and still returns False. So:
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* No existing scenario silently starts running its full E2E path.
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* All eight skip-gated scenarios from batches 71-73 continue to skip
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cleanly because they ALSO depend on `sitl_observer` /
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`mavproxy_tlog_reader` (for some) / `fc_proxy_runtime` (for FT-N-04).
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* Probe-cleanup is explicitly excluded from AZ-594 scope and will land
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in the future batch that fills the remaining two stubs.
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## Test Results
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* New unit tests: 14 (fdr_reader) + 10 (frame_source_replay) + 10
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(imu_replay) = **34 new tests**.
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* Full `e2e/_unit_tests` suite: **558 passed in 139 s** (previous
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cumulative: 527 → +31 net).
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* No new linter errors.
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## State
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* Spec moved: `_docs/02_tasks/todo/AZ-594_harness_stubs_core_three.md`
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→ `_docs/02_tasks/done/`.
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* `_docs/_autodev_state.md` advanced to `last_completed_batch: 74`.
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* Cumulative review window: `last_cumulative_review = batches_70-72`;
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next K=3 cumulative review fires at the end of batch 75.
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@@ -0,0 +1,144 @@
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# Code Review Report
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**Batch**: 74 — AZ-594 (harness stubs: core three)
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**Date**: 2026-05-17
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**Verdict**: PASS
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## Findings
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(none)
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## Findings Sweep
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### Phase 1 — Context Loading
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Read the AZ-594 task spec, then the three stub files in their
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pre-implementation state (`fdr_reader.py`, `frame_source_replay.py`,
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`imu_replay.py`). Cross-checked the SUT-side `FdrRecord` wire schema
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in `src/gps_denied_onboard/fdr_client/records.py` to confirm field
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names (`schema_version`, `ts`, `producer_id`, `kind`, `payload`,
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`extra`) and the rename strategy the runner-side `FdrRecord`
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duplicates (`kind → record_type`, `ts → monotonic_ms`). Re-read the
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existing scenario `_harness_helpers_implemented` probes in the batch
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71-73 scenario files to confirm the post-fix probe semantics.
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### Phase 2 — Spec Compliance
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| AC | Coverage | Status |
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|----|----------|--------|
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| AC-1 (`fdr_reader.iter_records` parses every `*.jsonl` under root, yields `FdrRecord` ordered by `monotonic_ms`; raises FileNotFoundError on missing root) | `test_missing_root_raises_file_not_found`, `test_empty_root_yields_nothing`, `test_single_file_round_trip`, `test_multiple_files_are_merged_and_sorted`, `test_subdirectory_files_included`, `test_payload_passed_through`; envelope-validation tests cover the wire-schema gate (`test_missing_envelope_key_raises`, `test_non_object_line_raises`, `test_malformed_json_raises`, `test_empty_producer_id_raises`, `test_ts_iso_without_z_parses`, `test_blank_lines_are_skipped`); `archive_size_bytes` covered by `test_archive_size_bytes_sums_all_files` and `test_archive_size_bytes_missing_root_returns_zero` | Covered |
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| AC-2 (`frame_source_replay.replay_video` accepts `.mp4` OR directory; decodes via OpenCV; emits via sink at cadence; raises FileNotFoundError on missing input) | `test_video_missing_path_raises_file_not_found`, `test_video_dir_delegates_to_image_directory`, `test_video_mp4_round_trip`; image-dir mode covered by `test_image_dir_missing_raises_file_not_found`, `test_image_dir_empty_returns_zero`, `test_image_dir_emits_sorted_by_name`, `test_image_dir_non_jpeg_reencoded`, `test_image_dir_skips_non_image_files`, `test_image_dir_non_realtime_does_not_sleep`, `test_image_dir_realtime_sleeps_per_frame` | Covered |
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| AC-3 (`imu_replay.ImuReplayer.replay` parses CSV, constructs `ImuSample`s, calls emitter; tolerates scientific-notation floats) | `test_happy_path_emits_all_rows`, `test_scientific_notation_parses`, `test_attitude_radians_converted`, `test_realtime_sleeps_per_sample`, `test_non_realtime_does_not_sleep`, `test_empty_csv_emits_nothing`; error paths: `test_missing_csv_raises_file_not_found`, `test_rate_hz_must_be_positive`, `test_missing_required_columns_raises`, `test_row_with_unparseable_value_raises` | Covered |
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| AC-4 (≥5 unit tests per body — happy + 2 error + 1 boundary) | fdr_reader: 14 tests; frame_source_replay: 10 tests; imu_replay: 10 tests | Covered (exceeds floor) |
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| AC-5 (full suite passes) | 558 passed (+31 from 527 baseline) | Covered |
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### Phase 3 — Code Quality
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* **Single responsibility**:
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* `fdr_reader` owns wire-envelope parsing + projection to the runner-side
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dataclass. It does NOT validate per-kind payload keys — that's left to
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the consuming evaluators, matching the AZ-272/273 contract that
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documents `payload` as opaque on the runner side.
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* `frame_source_replay.FrameSourceReplayer` owns frame decode + sink
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emission. Cadence pacing is parameterised via `sleep_fn` for testability;
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OpenCV is the only third-party import.
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* `imu_replay.ImuReplayer` owns CSV parse + emitter invocation. Cadence
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pacing same pattern as frame_source_replay. Row parsing is a pure
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function `_parse_row` so missing/malformed columns surface as a
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`ValueError` with a file + line pointer.
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* **No suppressed errors**:
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* `fdr_reader._parse_envelope` raises `ValueError` (with file + line)
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on every malformed envelope branch; `json.JSONDecodeError` propagates
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naturally for unrecoverable JSON corruption.
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* `frame_source_replay._decode_and_emit_video` raises explicit
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`ValueError` if OpenCV cannot open the file or fails to encode a
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frame — never silently skips a frame.
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* `imu_replay._parse_row` re-raises `KeyError`/`ValueError` wrapped
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as a contextual `ValueError`; the original `__cause__` is preserved
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via `raise ... from exc`.
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* No `except Exception: pass`, `2>/dev/null`, or empty `except` blocks.
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* **AAA comment discipline**: every new test uses `# Arrange / # Act /
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# Assert`; sections omitted when not needed.
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* **No code comments narrating what code does** — only the module-level
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docstrings explain the wire-vs-runner schema rename, the OpenCV
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realtime/non-realtime distinction, and the scientific-notation
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tolerance rationale.
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* **Public boundary**: confirmed all three modules import only
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stdlib (`csv`, `json`, `math`, `time`, `pathlib`, `datetime`) +
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`cv2`. No `from gps_denied_onboard ...` anywhere.
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### Phase 4 — Security
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* **No new credentials, secrets, or network surface**. All three
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helpers are deterministic file-I/O over caller-supplied paths.
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* **Wire-schema gate** in `fdr_reader._parse_envelope` is the safety
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invariant — if the SUT FDR schema drifts, the runner blows up at
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parse time with a file+line pointer rather than silently producing
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records with default-zero fields. This is the explicit
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drift-detection rationale documented in the `FdrRecord` docstring.
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* **No `eval`, `exec`, `pickle`, or `subprocess`** in any of the three
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modules.
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### Phase 5 — Performance
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* All three implementations are O(N) over their input streams
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(JSONL lines, frames, CSV rows). Sorting in `iter_records` is the
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one O(N log N) step — necessary for the multi-file merge-sort
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guarantee, and acceptable since the typical archive is bounded by
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the AZ-441 50 GB / 8 h budget.
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* No file I/O at module-import time.
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* `FrameSourceReplayer._decode_and_emit_video` always re-encodes
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frames to JPEG (lossy double-encode if source was MP4). The
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intent is so the sink always receives JPEG bytes regardless of
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source format — matches the SUT's `ONBOARD_FRAME_SOURCE_PATH`
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expectation of file-system-readable JPEG frames.
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### Phase 6 — Cross-Task Consistency
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* **Sleep injection pattern**: `frame_source_replay.FrameSourceReplayer`
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and `imu_replay.ImuReplayer` both accept `sleep_fn` as a keyword
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argument defaulting to `time.sleep`. Tests pass `lambda _: None`
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or a recording stub. Single pattern across the two replay surfaces.
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* **`realtime` vs `non-realtime` flag**: both replayers default to
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`realtime=True` and skip the sleep when `False`. Consistent semantics
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so that future scenarios can choose between wall-clock replay
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(for live-FC tests) and fast replay (for FDR/evidence-only tests).
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* **FileNotFoundError**: all three new bodies surface missing input
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paths via `FileNotFoundError`, consistent with how the existing
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helpers `accuracy_evaluator`, `multi_segment_evaluator`,
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`mavproxy_tlog_reader`, `cold_start_evaluator` handle missing
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inputs.
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* **Scenario probe interaction**: the existing
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`_harness_helpers_implemented` probes in batches 71-73 (FT-P-07,
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FT-P-08, FT-P-10, FT-P-11, FT-N-01, FT-N-02, FT-N-03, FT-N-04)
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pass `/tmp/non-existent` to each helper. Previously the inner
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`except NotImplementedError: return False` fired; now the outer
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`except Exception: return False` catches the new `FileNotFoundError`
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and still returns False. The scenarios continue to skip — which is
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correct because the OTHER probe-gated helpers (`sitl_observer`,
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`mavproxy_tlog_reader` for some scenarios, `fc_proxy_runtime`) are
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still pending. Probe cleanup is explicitly excluded from AZ-594
|
||||
scope and will happen once the remaining harness stubs land.
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### Phase 7 — Architecture Compliance
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* **Module placement unchanged**: existing files at
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`e2e/runner/helpers/{fdr_reader,frame_source_replay,imu_replay}.py`
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were edited in place (bodies replace `NotImplementedError`); no
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layout changes. New unit-test files in
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||||
`e2e/_unit_tests/helpers/`. Layout invariant test still passes —
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these helpers were already listed.
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* **No `src/gps_denied_onboard` imports** anywhere. Verified.
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* **Existing scenario surface preserved**: `FdrRecord` dataclass
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field names and types are unchanged from the AZ-406 contract.
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`ImuSample` likewise. `ReplayCadence` and `FrameSink` Protocol
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unchanged. Consumers in batches 71-73 stay valid.
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## Test Results
|
||||
|
||||
* New unit tests: 14 (fdr_reader) + 10 (frame_source_replay) + 10
|
||||
(imu_replay) = **34 new tests**.
|
||||
* Full `e2e/_unit_tests` suite: **558 passed in 139 s** (previous
|
||||
cumulative: 527 → +31 net).
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||||
* No new linter errors (`ReadLints` on all six new/modified files
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||||
reported clean).
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||||
@@ -12,9 +12,9 @@ sub_step:
|
||||
retry_count: 0
|
||||
cycle: 1
|
||||
tracker: jira
|
||||
last_completed_batch: 73
|
||||
last_completed_batch: 74
|
||||
last_cumulative_review: batches_70-72
|
||||
current_batch: 74
|
||||
current_batch: 75
|
||||
current_batch_tasks: ""
|
||||
last_step_outcomes:
|
||||
step_8: "Code is testable — no changes needed (testability_assessment.md committed; no list-of-changes, no source edits)"
|
||||
|
||||
@@ -1,37 +1,214 @@
|
||||
"""Unit tests for `runner.helpers.fdr_reader.archive_size_bytes`.
|
||||
|
||||
The full `iter_records` parser is owned by AZ-441; AZ-406 only commits to
|
||||
the directory-size helper.
|
||||
"""
|
||||
"""Unit tests for `e2e/runner/helpers/fdr_reader.py` (AZ-594 AC-1)."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
from runner.helpers.fdr_reader import archive_size_bytes
|
||||
from e2e.runner.helpers.fdr_reader import FdrRecord, archive_size_bytes, iter_records
|
||||
|
||||
|
||||
def test_archive_size_zero_for_missing_root(tmp_path: Path) -> None:
|
||||
assert archive_size_bytes(tmp_path / "does-not-exist") == 0
|
||||
def _write_jsonl(path: Path, records: list[dict]) -> None:
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
with path.open("w") as fh:
|
||||
for r in records:
|
||||
fh.write(json.dumps(r) + "\n")
|
||||
|
||||
|
||||
def test_archive_size_sums_nested_files(tmp_path: Path) -> None:
|
||||
# Arrange
|
||||
(tmp_path / "a").mkdir()
|
||||
(tmp_path / "a" / "b.bin").write_bytes(b"x" * 100)
|
||||
(tmp_path / "a" / "c.bin").write_bytes(b"y" * 50)
|
||||
(tmp_path / "top.bin").write_bytes(b"z" * 200)
|
||||
# Act
|
||||
size = archive_size_bytes(tmp_path)
|
||||
def _env(ts: str, *, kind: str = "vio.tick", producer_id: str = "c1.vio", payload: dict | None = None) -> dict:
|
||||
return {
|
||||
"schema_version": 1,
|
||||
"ts": ts,
|
||||
"producer_id": producer_id,
|
||||
"kind": kind,
|
||||
"payload": payload if payload is not None else {"frame_id": "f0"},
|
||||
}
|
||||
|
||||
|
||||
def test_missing_root_raises_file_not_found(tmp_path: Path):
|
||||
# Assert
|
||||
assert size == 350
|
||||
with pytest.raises(FileNotFoundError, match="FDR archive root not found"):
|
||||
list(iter_records(tmp_path / "nope"))
|
||||
|
||||
|
||||
def test_iter_records_raises_until_az441_lands() -> None:
|
||||
"""Until AZ-441 fills the parser in, callers must see a clear error."""
|
||||
from runner.helpers.fdr_reader import iter_records
|
||||
def test_empty_root_yields_nothing(tmp_path: Path):
|
||||
# Arrange
|
||||
(tmp_path / "fdr").mkdir()
|
||||
|
||||
with pytest.raises(NotImplementedError, match="AZ-441"):
|
||||
next(iter_records(Path("/tmp/nonexistent")))
|
||||
# Act
|
||||
records = list(iter_records(tmp_path / "fdr"))
|
||||
|
||||
# Assert
|
||||
assert records == []
|
||||
|
||||
|
||||
def test_single_file_round_trip(tmp_path: Path):
|
||||
# Arrange
|
||||
root = tmp_path / "fdr"
|
||||
_write_jsonl(
|
||||
root / "segment_001.jsonl",
|
||||
[_env("2026-05-17T08:00:00.100Z"), _env("2026-05-17T08:00:00.200Z")],
|
||||
)
|
||||
|
||||
# Act
|
||||
records = list(iter_records(root))
|
||||
|
||||
# Assert
|
||||
assert len(records) == 2
|
||||
assert all(isinstance(r, FdrRecord) for r in records)
|
||||
assert records[0].record_type == "vio.tick"
|
||||
assert records[0].producer_id == "c1.vio"
|
||||
assert records[1].monotonic_ms - records[0].monotonic_ms == 100
|
||||
|
||||
|
||||
def test_multiple_files_are_merged_and_sorted(tmp_path: Path):
|
||||
# Arrange — file B has older records than file A.
|
||||
root = tmp_path / "fdr"
|
||||
_write_jsonl(
|
||||
root / "b_segment.jsonl",
|
||||
[_env("2026-05-17T08:00:01.000Z")],
|
||||
)
|
||||
_write_jsonl(
|
||||
root / "a_segment.jsonl",
|
||||
[_env("2026-05-17T08:00:00.500Z")],
|
||||
)
|
||||
|
||||
# Act
|
||||
records = list(iter_records(root))
|
||||
|
||||
# Assert — global oldest-first regardless of filename order.
|
||||
assert len(records) == 2
|
||||
assert records[0].monotonic_ms < records[1].monotonic_ms
|
||||
|
||||
|
||||
def test_blank_lines_are_skipped(tmp_path: Path):
|
||||
# Arrange
|
||||
root = tmp_path / "fdr"
|
||||
root.mkdir()
|
||||
with (root / "segment_001.jsonl").open("w") as fh:
|
||||
fh.write(json.dumps(_env("2026-05-17T08:00:00.100Z")) + "\n")
|
||||
fh.write("\n")
|
||||
fh.write(" \n")
|
||||
fh.write(json.dumps(_env("2026-05-17T08:00:00.200Z")) + "\n")
|
||||
|
||||
# Act
|
||||
records = list(iter_records(root))
|
||||
|
||||
# Assert
|
||||
assert len(records) == 2
|
||||
|
||||
|
||||
def test_missing_envelope_key_raises(tmp_path: Path):
|
||||
# Arrange — missing `kind`.
|
||||
root = tmp_path / "fdr"
|
||||
bad = {
|
||||
"schema_version": 1,
|
||||
"ts": "2026-05-17T08:00:00.100Z",
|
||||
"producer_id": "c1.vio",
|
||||
"payload": {},
|
||||
}
|
||||
_write_jsonl(root / "bad.jsonl", [bad])
|
||||
|
||||
# Act / Assert
|
||||
with pytest.raises(ValueError, match="missing required keys \\['kind'\\]"):
|
||||
list(iter_records(root))
|
||||
|
||||
|
||||
def test_non_object_line_raises(tmp_path: Path):
|
||||
# Arrange — array at top level.
|
||||
root = tmp_path / "fdr"
|
||||
root.mkdir()
|
||||
with (root / "bad.jsonl").open("w") as fh:
|
||||
fh.write("[1, 2, 3]\n")
|
||||
|
||||
# Act / Assert
|
||||
with pytest.raises(ValueError, match="not a JSON object"):
|
||||
list(iter_records(root))
|
||||
|
||||
|
||||
def test_malformed_json_raises(tmp_path: Path):
|
||||
# Arrange
|
||||
root = tmp_path / "fdr"
|
||||
root.mkdir()
|
||||
with (root / "bad.jsonl").open("w") as fh:
|
||||
fh.write("{not-json\n")
|
||||
|
||||
# Act / Assert
|
||||
with pytest.raises(json.JSONDecodeError):
|
||||
list(iter_records(root))
|
||||
|
||||
|
||||
def test_empty_producer_id_raises(tmp_path: Path):
|
||||
# Arrange
|
||||
root = tmp_path / "fdr"
|
||||
bad = _env("2026-05-17T08:00:00.100Z", producer_id="")
|
||||
_write_jsonl(root / "bad.jsonl", [bad])
|
||||
|
||||
# Act / Assert
|
||||
with pytest.raises(ValueError, match="producer_id` must be a non-empty"):
|
||||
list(iter_records(root))
|
||||
|
||||
|
||||
def test_ts_iso_without_z_parses(tmp_path: Path):
|
||||
# Arrange — already in +00:00 form.
|
||||
root = tmp_path / "fdr"
|
||||
_write_jsonl(root / "a.jsonl", [_env("2026-05-17T08:00:00.250+00:00")])
|
||||
|
||||
# Act
|
||||
records = list(iter_records(root))
|
||||
|
||||
# Assert
|
||||
assert len(records) == 1
|
||||
|
||||
|
||||
def test_payload_passed_through(tmp_path: Path):
|
||||
# Arrange
|
||||
root = tmp_path / "fdr"
|
||||
payload = {"frame_idx": 42, "lat_deg": 50.0, "lon_deg": 30.0, "cov_semi_major_m": 5.5}
|
||||
_write_jsonl(
|
||||
root / "a.jsonl",
|
||||
[_env("2026-05-17T08:00:00.100Z", kind="outbound_estimate", payload=payload)],
|
||||
)
|
||||
|
||||
# Act
|
||||
[record] = list(iter_records(root))
|
||||
|
||||
# Assert
|
||||
assert record.payload == payload
|
||||
assert record.record_type == "outbound_estimate"
|
||||
|
||||
|
||||
def test_archive_size_bytes_sums_all_files(tmp_path: Path):
|
||||
# Arrange
|
||||
root = tmp_path / "fdr"
|
||||
_write_jsonl(root / "a.jsonl", [_env("2026-05-17T08:00:00.100Z")])
|
||||
_write_jsonl(root / "sub/b.jsonl", [_env("2026-05-17T08:00:00.200Z")])
|
||||
|
||||
# Act
|
||||
total = archive_size_bytes(root)
|
||||
|
||||
# Assert
|
||||
assert total > 0
|
||||
a_size = (root / "a.jsonl").stat().st_size
|
||||
b_size = (root / "sub/b.jsonl").stat().st_size
|
||||
assert total == a_size + b_size
|
||||
|
||||
|
||||
def test_archive_size_bytes_missing_root_returns_zero(tmp_path: Path):
|
||||
# Assert
|
||||
assert archive_size_bytes(tmp_path / "nope") == 0
|
||||
|
||||
|
||||
def test_subdirectory_files_included(tmp_path: Path):
|
||||
# Arrange
|
||||
root = tmp_path / "fdr"
|
||||
_write_jsonl(root / "seg1.jsonl", [_env("2026-05-17T08:00:00.100Z")])
|
||||
_write_jsonl(root / "sub/seg2.jsonl", [_env("2026-05-17T08:00:00.200Z")])
|
||||
|
||||
# Act
|
||||
records = list(iter_records(root))
|
||||
|
||||
# Assert
|
||||
assert len(records) == 2
|
||||
|
||||
@@ -0,0 +1,216 @@
|
||||
"""Unit tests for `e2e/runner/helpers/frame_source_replay.py` (AZ-594 AC-2)."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from dataclasses import dataclass, field
|
||||
from pathlib import Path
|
||||
|
||||
import cv2
|
||||
import numpy as np
|
||||
import pytest
|
||||
|
||||
from e2e.runner.helpers.frame_source_replay import (
|
||||
FrameSourceReplayer,
|
||||
ReplayCadence,
|
||||
)
|
||||
|
||||
|
||||
@dataclass
|
||||
class _RecordingSink:
|
||||
"""In-memory FrameSink that captures every emission for assertions."""
|
||||
|
||||
frames: list[tuple[bytes, int]] = field(default_factory=list)
|
||||
|
||||
def write_frame(self, jpeg_bytes: bytes, timestamp_ms: int) -> None:
|
||||
self.frames.append((jpeg_bytes, timestamp_ms))
|
||||
|
||||
|
||||
@dataclass
|
||||
class _RecordingSleep:
|
||||
"""Captures the durations the replayer was asked to sleep."""
|
||||
|
||||
sleeps: list[float] = field(default_factory=list)
|
||||
|
||||
def __call__(self, duration_s: float) -> None:
|
||||
self.sleeps.append(duration_s)
|
||||
|
||||
|
||||
def _write_jpg(path: Path, w: int = 64, h: int = 48, fill: int = 128) -> None:
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
img = np.full((h, w, 3), fill, dtype=np.uint8)
|
||||
cv2.imwrite(str(path), img)
|
||||
|
||||
|
||||
def _write_video(path: Path, n_frames: int, fps: float, w: int = 64, h: int = 48) -> None:
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
fourcc = cv2.VideoWriter_fourcc(*"mp4v")
|
||||
writer = cv2.VideoWriter(str(path), fourcc, fps, (w, h))
|
||||
if not writer.isOpened():
|
||||
pytest.skip(f"OpenCV cannot write mp4v on this platform: {path}")
|
||||
try:
|
||||
for i in range(n_frames):
|
||||
img = np.full((h, w, 3), (i * 5) % 255, dtype=np.uint8)
|
||||
writer.write(img)
|
||||
finally:
|
||||
writer.release()
|
||||
|
||||
|
||||
# replay_image_directory
|
||||
|
||||
|
||||
def test_image_dir_missing_raises_file_not_found(tmp_path: Path):
|
||||
# Arrange
|
||||
sink = _RecordingSink()
|
||||
replayer = FrameSourceReplayer(sink, sleep_fn=lambda _: None)
|
||||
|
||||
# Assert
|
||||
with pytest.raises(FileNotFoundError, match="frame directory not found"):
|
||||
replayer.replay_image_directory(tmp_path / "nope")
|
||||
|
||||
|
||||
def test_image_dir_empty_returns_zero(tmp_path: Path):
|
||||
# Arrange
|
||||
(tmp_path / "frames").mkdir()
|
||||
sink = _RecordingSink()
|
||||
|
||||
# Act
|
||||
emitted = FrameSourceReplayer(sink, sleep_fn=lambda _: None).replay_image_directory(
|
||||
tmp_path / "frames"
|
||||
)
|
||||
|
||||
# Assert
|
||||
assert emitted == 0
|
||||
assert sink.frames == []
|
||||
|
||||
|
||||
def test_image_dir_emits_sorted_by_name(tmp_path: Path):
|
||||
# Arrange — files written out of order; sort must restore numeric order.
|
||||
frames_dir = tmp_path / "frames"
|
||||
_write_jpg(frames_dir / "AD000003.jpg", fill=30)
|
||||
_write_jpg(frames_dir / "AD000001.jpg", fill=10)
|
||||
_write_jpg(frames_dir / "AD000002.jpg", fill=20)
|
||||
sink = _RecordingSink()
|
||||
|
||||
# Act
|
||||
emitted = FrameSourceReplayer(
|
||||
sink,
|
||||
cadence=ReplayCadence(fps=10.0, realtime=False),
|
||||
sleep_fn=lambda _: None,
|
||||
).replay_image_directory(frames_dir)
|
||||
|
||||
# Assert — three frames at 0/100/200 ms.
|
||||
assert emitted == 3
|
||||
assert [ts for _, ts in sink.frames] == [0, 100, 200]
|
||||
assert all(b.startswith(b"\xff\xd8") for b, _ in sink.frames) # JPEG SOI
|
||||
|
||||
|
||||
def test_image_dir_non_jpeg_reencoded(tmp_path: Path):
|
||||
# Arrange
|
||||
frames_dir = tmp_path / "frames"
|
||||
png_path = frames_dir / "AD000001.png"
|
||||
frames_dir.mkdir()
|
||||
img = np.full((48, 64, 3), 100, dtype=np.uint8)
|
||||
cv2.imwrite(str(png_path), img)
|
||||
sink = _RecordingSink()
|
||||
|
||||
# Act
|
||||
emitted = FrameSourceReplayer(sink, sleep_fn=lambda _: None).replay_image_directory(frames_dir)
|
||||
|
||||
# Assert
|
||||
assert emitted == 1
|
||||
assert sink.frames[0][0].startswith(b"\xff\xd8") # JPEG, not PNG
|
||||
|
||||
|
||||
def test_image_dir_skips_non_image_files(tmp_path: Path):
|
||||
# Arrange
|
||||
frames_dir = tmp_path / "frames"
|
||||
_write_jpg(frames_dir / "AD000001.jpg")
|
||||
(frames_dir / "README.txt").write_text("not an image")
|
||||
(frames_dir / "manifest.csv").write_text("col1,col2\n1,2\n")
|
||||
sink = _RecordingSink()
|
||||
|
||||
# Act
|
||||
emitted = FrameSourceReplayer(sink, sleep_fn=lambda _: None).replay_image_directory(frames_dir)
|
||||
|
||||
# Assert
|
||||
assert emitted == 1
|
||||
|
||||
|
||||
def test_image_dir_non_realtime_does_not_sleep(tmp_path: Path):
|
||||
# Arrange
|
||||
frames_dir = tmp_path / "frames"
|
||||
for i in range(3):
|
||||
_write_jpg(frames_dir / f"AD{i:06d}.jpg")
|
||||
sink = _RecordingSink()
|
||||
sleep = _RecordingSleep()
|
||||
|
||||
# Act
|
||||
FrameSourceReplayer(
|
||||
sink, cadence=ReplayCadence(fps=10.0, realtime=False), sleep_fn=sleep
|
||||
).replay_image_directory(frames_dir)
|
||||
|
||||
# Assert
|
||||
assert sleep.sleeps == []
|
||||
|
||||
|
||||
def test_image_dir_realtime_sleeps_per_frame(tmp_path: Path):
|
||||
# Arrange
|
||||
frames_dir = tmp_path / "frames"
|
||||
for i in range(3):
|
||||
_write_jpg(frames_dir / f"AD{i:06d}.jpg")
|
||||
sink = _RecordingSink()
|
||||
sleep = _RecordingSleep()
|
||||
|
||||
# Act
|
||||
FrameSourceReplayer(
|
||||
sink, cadence=ReplayCadence(fps=10.0, realtime=True), sleep_fn=sleep
|
||||
).replay_image_directory(frames_dir)
|
||||
|
||||
# Assert — sleeps once per emitted frame at 0.1 s.
|
||||
assert sleep.sleeps == pytest.approx([0.1, 0.1, 0.1])
|
||||
|
||||
|
||||
# replay_video
|
||||
|
||||
|
||||
def test_video_missing_path_raises_file_not_found(tmp_path: Path):
|
||||
# Arrange
|
||||
sink = _RecordingSink()
|
||||
replayer = FrameSourceReplayer(sink, sleep_fn=lambda _: None)
|
||||
|
||||
# Assert
|
||||
with pytest.raises(FileNotFoundError, match="video path not found"):
|
||||
replayer.replay_video(tmp_path / "nope.mp4")
|
||||
|
||||
|
||||
def test_video_dir_delegates_to_image_directory(tmp_path: Path):
|
||||
# Arrange
|
||||
frames_dir = tmp_path / "frames"
|
||||
for i in range(2):
|
||||
_write_jpg(frames_dir / f"AD{i:06d}.jpg")
|
||||
sink = _RecordingSink()
|
||||
|
||||
# Act
|
||||
emitted = FrameSourceReplayer(
|
||||
sink, cadence=ReplayCadence(fps=10.0, realtime=False), sleep_fn=lambda _: None
|
||||
).replay_video(frames_dir)
|
||||
|
||||
# Assert
|
||||
assert emitted == 2
|
||||
|
||||
|
||||
def test_video_mp4_round_trip(tmp_path: Path):
|
||||
# Arrange — write a 5-frame 10 FPS MP4 then replay it.
|
||||
video_path = tmp_path / "tiny.mp4"
|
||||
_write_video(video_path, n_frames=5, fps=10.0)
|
||||
sink = _RecordingSink()
|
||||
|
||||
# Act
|
||||
emitted = FrameSourceReplayer(
|
||||
sink, cadence=ReplayCadence(fps=10.0, realtime=False), sleep_fn=lambda _: None
|
||||
).replay_video(video_path)
|
||||
|
||||
# Assert
|
||||
assert emitted == 5
|
||||
assert [ts for _, ts in sink.frames] == [0, 100, 200, 300, 400]
|
||||
assert all(b.startswith(b"\xff\xd8") for b, _ in sink.frames)
|
||||
@@ -0,0 +1,192 @@
|
||||
"""Unit tests for `e2e/runner/helpers/imu_replay.py` (AZ-594 AC-3)."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import math
|
||||
from dataclasses import dataclass, field
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
from e2e.runner.helpers.imu_replay import FcInboundEmitter, ImuReplayer, ImuSample
|
||||
|
||||
|
||||
@dataclass
|
||||
class _RecordingEmitter:
|
||||
"""In-memory FcInboundEmitter that captures every sample."""
|
||||
|
||||
samples: list[ImuSample] = field(default_factory=list)
|
||||
|
||||
def emit(self, sample: ImuSample) -> None:
|
||||
self.samples.append(sample)
|
||||
|
||||
|
||||
@dataclass
|
||||
class _RecordingSleep:
|
||||
sleeps: list[float] = field(default_factory=list)
|
||||
|
||||
def __call__(self, duration_s: float) -> None:
|
||||
self.sleeps.append(duration_s)
|
||||
|
||||
|
||||
_HEADER = "timestamp_ms,ax,ay,az,gx,gy,gz,roll_deg,pitch_deg,yaw_deg,baro_m\n"
|
||||
|
||||
|
||||
def _write_csv(path: Path, rows: list[str], *, header: str = _HEADER) -> None:
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
with path.open("w") as fh:
|
||||
fh.write(header)
|
||||
for r in rows:
|
||||
fh.write(r + "\n")
|
||||
|
||||
|
||||
def test_missing_csv_raises_file_not_found(tmp_path: Path):
|
||||
# Arrange
|
||||
emitter = _RecordingEmitter()
|
||||
replayer = ImuReplayer(emitter, realtime=False)
|
||||
|
||||
# Assert
|
||||
with pytest.raises(FileNotFoundError, match="IMU CSV not found"):
|
||||
replayer.replay(tmp_path / "nope.csv")
|
||||
|
||||
|
||||
def test_rate_hz_must_be_positive():
|
||||
# Assert
|
||||
with pytest.raises(ValueError, match="rate_hz must be positive"):
|
||||
ImuReplayer(_RecordingEmitter(), rate_hz=0)
|
||||
|
||||
|
||||
def test_missing_required_columns_raises(tmp_path: Path):
|
||||
# Arrange — missing `baro_m`.
|
||||
p = tmp_path / "imu.csv"
|
||||
_write_csv(
|
||||
p,
|
||||
["100,0,0,9.8,0,0,0,0,0,0"],
|
||||
header="timestamp_ms,ax,ay,az,gx,gy,gz,roll_deg,pitch_deg,yaw_deg\n",
|
||||
)
|
||||
|
||||
# Assert
|
||||
with pytest.raises(ValueError, match="missing required columns"):
|
||||
ImuReplayer(_RecordingEmitter(), realtime=False).replay(p)
|
||||
|
||||
|
||||
def test_row_with_unparseable_value_raises(tmp_path: Path):
|
||||
# Arrange
|
||||
p = tmp_path / "imu.csv"
|
||||
_write_csv(p, ["100,0,0,not-a-float,0,0,0,0,0,0,300"])
|
||||
|
||||
# Assert
|
||||
with pytest.raises(ValueError, match="IMU CSV row malformed"):
|
||||
ImuReplayer(_RecordingEmitter(), realtime=False).replay(p)
|
||||
|
||||
|
||||
def test_happy_path_emits_all_rows(tmp_path: Path):
|
||||
# Arrange
|
||||
p = tmp_path / "imu.csv"
|
||||
_write_csv(
|
||||
p,
|
||||
[
|
||||
"100,0.0,0.0,9.8,0.0,0.0,0.0,0.0,0.0,0.0,300.0",
|
||||
"200,0.1,0.0,9.7,0.0,0.0,0.0,0.0,0.0,0.0,300.5",
|
||||
"300,0.0,0.2,9.6,0.0,0.0,0.0,0.0,0.0,0.0,301.0",
|
||||
],
|
||||
)
|
||||
emitter = _RecordingEmitter()
|
||||
|
||||
# Act
|
||||
emitted = ImuReplayer(emitter, realtime=False).replay(p)
|
||||
|
||||
# Assert
|
||||
assert emitted == 3
|
||||
assert len(emitter.samples) == 3
|
||||
assert emitter.samples[0].timestamp_ms == 100
|
||||
assert emitter.samples[1].accel_mss == (0.1, 0.0, 9.7)
|
||||
|
||||
|
||||
def test_scientific_notation_parses(tmp_path: Path):
|
||||
# Arrange — AZ-408 fixture style float fields.
|
||||
p = tmp_path / "imu.csv"
|
||||
_write_csv(
|
||||
p,
|
||||
[
|
||||
"100,-4.44E-16,1.23e-3,9.81,-1e-5,2e-7,0.0,1.0,2.0,3.0,300.0",
|
||||
],
|
||||
)
|
||||
emitter = _RecordingEmitter()
|
||||
|
||||
# Act
|
||||
ImuReplayer(emitter, realtime=False).replay(p)
|
||||
|
||||
# Assert
|
||||
s = emitter.samples[0]
|
||||
assert s.accel_mss[0] == pytest.approx(-4.44e-16)
|
||||
assert s.accel_mss[1] == pytest.approx(1.23e-3)
|
||||
assert s.accel_mss[2] == pytest.approx(9.81)
|
||||
assert s.gyro_rps == (-1e-5, 2e-7, 0.0)
|
||||
|
||||
|
||||
def test_attitude_radians_converted(tmp_path: Path):
|
||||
# Arrange
|
||||
p = tmp_path / "imu.csv"
|
||||
_write_csv(
|
||||
p,
|
||||
["100,0,0,9.8,0,0,0,90,180,270,300"],
|
||||
)
|
||||
emitter = _RecordingEmitter()
|
||||
|
||||
# Act
|
||||
ImuReplayer(emitter, realtime=False).replay(p)
|
||||
|
||||
# Assert
|
||||
roll, pitch, yaw = emitter.samples[0].attitude_rad
|
||||
assert roll == pytest.approx(math.pi / 2)
|
||||
assert pitch == pytest.approx(math.pi)
|
||||
assert yaw == pytest.approx(3 * math.pi / 2)
|
||||
|
||||
|
||||
def test_realtime_sleeps_per_sample(tmp_path: Path):
|
||||
# Arrange — 3 rows at 10 Hz → 3 sleeps of 0.1 s.
|
||||
p = tmp_path / "imu.csv"
|
||||
_write_csv(
|
||||
p,
|
||||
[
|
||||
"100,0,0,9.8,0,0,0,0,0,0,300",
|
||||
"200,0,0,9.8,0,0,0,0,0,0,300",
|
||||
"300,0,0,9.8,0,0,0,0,0,0,300",
|
||||
],
|
||||
)
|
||||
emitter = _RecordingEmitter()
|
||||
sleep = _RecordingSleep()
|
||||
|
||||
# Act
|
||||
ImuReplayer(emitter, rate_hz=10.0, realtime=True, sleep_fn=sleep).replay(p)
|
||||
|
||||
# Assert
|
||||
assert sleep.sleeps == pytest.approx([0.1, 0.1, 0.1])
|
||||
|
||||
|
||||
def test_non_realtime_does_not_sleep(tmp_path: Path):
|
||||
# Arrange
|
||||
p = tmp_path / "imu.csv"
|
||||
_write_csv(p, ["100,0,0,9.8,0,0,0,0,0,0,300"])
|
||||
sleep = _RecordingSleep()
|
||||
|
||||
# Act
|
||||
ImuReplayer(_RecordingEmitter(), realtime=False, sleep_fn=sleep).replay(p)
|
||||
|
||||
# Assert
|
||||
assert sleep.sleeps == []
|
||||
|
||||
|
||||
def test_empty_csv_emits_nothing(tmp_path: Path):
|
||||
# Arrange — header only.
|
||||
p = tmp_path / "imu.csv"
|
||||
_write_csv(p, [])
|
||||
emitter = _RecordingEmitter()
|
||||
|
||||
# Act
|
||||
emitted = ImuReplayer(emitter, realtime=False).replay(p)
|
||||
|
||||
# Assert
|
||||
assert emitted == 0
|
||||
assert emitter.samples == []
|
||||
@@ -1,22 +1,32 @@
|
||||
"""Post-run filesystem read of the FDR archive.
|
||||
|
||||
The FDR archive is a line-delimited JSON record stream per AZ-272 / AZ-273.
|
||||
Each line is an `FdrRecord` envelope (producer_id, type, monotonic_ms,
|
||||
payload). The runner image must NEVER import the SUT's FdrRecord schema
|
||||
directly — it parses the JSON bytes and validates against a duplicate
|
||||
record-type allowlist baked into this module.
|
||||
Each line is an FDR envelope on the wire schema
|
||||
``{schema_version, ts, producer_id, kind, payload, extra?}``. This module
|
||||
parses the JSON bytes and validates the wire envelope structurally — the
|
||||
runner image NEVER imports the SUT's FdrRecord schema directly so a
|
||||
breaking SUT change surfaces as a parse failure here (visible drift)
|
||||
rather than silently following along.
|
||||
|
||||
Public surface only; concrete parser + assertion helpers are owned by
|
||||
AZ-441 (NFT-LIM-02 — FDR size budget) and the resilience scenario tasks
|
||||
that need to crawl the archive (AZ-432, AZ-433, AZ-435).
|
||||
The runner-side `FdrRecord` dataclass renames `kind` → `record_type` and
|
||||
projects `ts` (ISO 8601 wall-clock) onto an integer `monotonic_ms` field
|
||||
for downstream evaluators that work in milliseconds. Within one flight,
|
||||
ISO 8601 ms-since-epoch is monotonic at the millisecond resolution the
|
||||
evaluators care about (NFR-RES NTP drift is excluded by AC-7 of the FDR
|
||||
contract: the on-board clock is monotonic over the lifetime of one
|
||||
flight session).
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
from dataclasses import dataclass
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
from typing import Iterator
|
||||
|
||||
_WIRE_REQUIRED_KEYS = ("schema_version", "ts", "producer_id", "kind", "payload")
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class FdrRecord:
|
||||
@@ -33,15 +43,83 @@ class FdrRecord:
|
||||
payload: dict[str, object]
|
||||
|
||||
|
||||
def _ts_to_monotonic_ms(ts: str) -> int:
|
||||
"""Project ISO 8601 ``ts`` onto an int millisecond value.
|
||||
|
||||
Accepts trailing ``Z`` (UTC) which ``datetime.fromisoformat`` did not
|
||||
accept until 3.11; we normalise to ``+00:00`` first.
|
||||
"""
|
||||
normalised = ts[:-1] + "+00:00" if ts.endswith("Z") else ts
|
||||
dt = datetime.fromisoformat(normalised)
|
||||
return int(dt.timestamp() * 1000)
|
||||
|
||||
|
||||
def _parse_envelope(line_bytes: bytes, source: Path, line_no: int) -> FdrRecord:
|
||||
"""Decode one JSONL line into a typed envelope.
|
||||
|
||||
Wire-side keys are validated structurally; downstream payload keys are
|
||||
NOT validated here (the consuming evaluator owns its own payload contract).
|
||||
"""
|
||||
decoded = json.loads(line_bytes)
|
||||
if not isinstance(decoded, dict):
|
||||
raise ValueError(
|
||||
f"FDR line is not a JSON object: {source}:{line_no}: type={type(decoded).__name__}"
|
||||
)
|
||||
missing = [k for k in _WIRE_REQUIRED_KEYS if k not in decoded]
|
||||
if missing:
|
||||
raise ValueError(
|
||||
f"FDR wire envelope missing required keys {missing} at {source}:{line_no}"
|
||||
)
|
||||
ts = decoded["ts"]
|
||||
if not isinstance(ts, str) or not ts:
|
||||
raise ValueError(f"FDR envelope `ts` must be a non-empty ISO 8601 string at {source}:{line_no}")
|
||||
producer_id = decoded["producer_id"]
|
||||
if not isinstance(producer_id, str) or not producer_id:
|
||||
raise ValueError(
|
||||
f"FDR envelope `producer_id` must be a non-empty string at {source}:{line_no}"
|
||||
)
|
||||
kind = decoded["kind"]
|
||||
if not isinstance(kind, str) or not kind:
|
||||
raise ValueError(f"FDR envelope `kind` must be a non-empty string at {source}:{line_no}")
|
||||
payload = decoded["payload"]
|
||||
if not isinstance(payload, dict):
|
||||
raise ValueError(f"FDR envelope `payload` must be an object at {source}:{line_no}")
|
||||
return FdrRecord(
|
||||
producer_id=producer_id,
|
||||
monotonic_ms=_ts_to_monotonic_ms(ts),
|
||||
record_type=kind,
|
||||
payload=payload,
|
||||
)
|
||||
|
||||
|
||||
def iter_records(fdr_archive_root: Path) -> Iterator[FdrRecord]:
|
||||
"""Iterate every FDR record in the archive root (ordered by monotonic_ms).
|
||||
|
||||
Raises NotImplementedError until AZ-441 supplies the orjson-backed parser.
|
||||
Walks every ``*.jsonl`` file under ``fdr_archive_root`` (recursive),
|
||||
parses each line as a wire envelope, and yields the runner-side
|
||||
``FdrRecord`` projection. Records are emitted oldest-first across the
|
||||
union of all files.
|
||||
|
||||
Raises ``FileNotFoundError`` if the archive root does not exist.
|
||||
Raises ``ValueError`` (with a file + line pointer) on malformed JSON,
|
||||
a wrong-shape envelope, or an unparseable ``ts``.
|
||||
"""
|
||||
raise NotImplementedError(
|
||||
"fdr_reader.iter_records is owned by AZ-441 — AZ-406 supplies only "
|
||||
"the public surface."
|
||||
)
|
||||
if not fdr_archive_root.exists():
|
||||
raise FileNotFoundError(
|
||||
f"FDR archive root not found: {fdr_archive_root}"
|
||||
)
|
||||
records: list[FdrRecord] = []
|
||||
for jsonl_path in sorted(fdr_archive_root.rglob("*.jsonl")):
|
||||
if not jsonl_path.is_file():
|
||||
continue
|
||||
with jsonl_path.open("rb") as fh:
|
||||
for line_no, raw in enumerate(fh, start=1):
|
||||
stripped = raw.strip()
|
||||
if not stripped:
|
||||
continue
|
||||
records.append(_parse_envelope(stripped, jsonl_path, line_no))
|
||||
records.sort(key=lambda r: r.monotonic_ms)
|
||||
yield from records
|
||||
|
||||
|
||||
def archive_size_bytes(fdr_archive_root: Path) -> int:
|
||||
|
||||
@@ -6,25 +6,30 @@ Two replay modes:
|
||||
SUT polls.
|
||||
2. Video replay (FT-P-02, FT-P-04, FT-N-01..04, NFT-PERF-*) — decode an
|
||||
MP4 with OpenCV and emit frames at the encoded FPS (or a user-supplied
|
||||
rate for fast-forward).
|
||||
rate for fast-forward). ``replay_video`` also accepts a directory of
|
||||
extracted frames (`AD000001.jpg`-style) so the AZ-408 injectors that
|
||||
emit frame directories rather than MP4s can use the same surface.
|
||||
|
||||
The actual frame-source path inside the SUT container is configured via the
|
||||
``ONBOARD_FRAME_SOURCE_PATH`` environment variable on the SUT — the runner
|
||||
writes to a shared tmpfs volume mounted at the same path inside both
|
||||
containers.
|
||||
|
||||
This file currently provides the public surface used by per-scenario tests;
|
||||
concrete implementations land alongside their consuming test tasks
|
||||
(AZ-407 onward). The intent is that `FrameSourceReplayer` is a stable API
|
||||
the test specs can rely on while the underlying replay strategy is filled
|
||||
in incrementally.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import time
|
||||
from dataclasses import dataclass
|
||||
from pathlib import Path
|
||||
from typing import Protocol
|
||||
from typing import Callable, Protocol
|
||||
|
||||
import cv2
|
||||
|
||||
# Image extensions handled by ``replay_image_directory`` / ``replay_video``
|
||||
# when given a directory rather than a file. Sorted-by-name ordering implies
|
||||
# zero-padded filenames (``AD000001.jpg``) which the AZ-407 / AZ-408
|
||||
# fixture builders already produce.
|
||||
_IMAGE_EXTENSIONS = (".jpg", ".jpeg", ".png", ".bmp")
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
@@ -43,35 +48,109 @@ class FrameSink(Protocol):
|
||||
|
||||
|
||||
class FrameSourceReplayer:
|
||||
"""Public surface for replaying frames into the SUT's frame-source path.
|
||||
"""Public surface for replaying frames into the SUT's frame-source path."""
|
||||
|
||||
AZ-407 (Static fixture builders) supplies the concrete still-image replay
|
||||
implementation; AZ-408 (Runtime synthetic-injection) supplies the video
|
||||
+ injector variants. AZ-406 only commits to the contract.
|
||||
"""
|
||||
|
||||
def __init__(self, sink: FrameSink, cadence: ReplayCadence | None = None) -> None:
|
||||
def __init__(
|
||||
self,
|
||||
sink: FrameSink,
|
||||
cadence: ReplayCadence | None = None,
|
||||
*,
|
||||
sleep_fn: Callable[[float], None] = time.sleep,
|
||||
) -> None:
|
||||
self._sink = sink
|
||||
self._cadence = cadence or ReplayCadence()
|
||||
# Injected so unit tests can drop wall-clock pacing entirely.
|
||||
self._sleep = sleep_fn
|
||||
|
||||
def replay_image_directory(self, directory: Path) -> int:
|
||||
"""Replay every image in ``directory`` (sorted by name). Returns count emitted.
|
||||
"""Replay every image in ``directory`` (sorted by name) at the configured
|
||||
cadence. Returns the number of frames emitted to the sink.
|
||||
|
||||
Raises NotImplementedError until AZ-407 lands. Tests that need this
|
||||
path should mark themselves @pytest.mark.skip(reason="awaiting AZ-407")
|
||||
until then; AC-1 (smoke) does not depend on this surface.
|
||||
Raises ``FileNotFoundError`` if ``directory`` does not exist or is not
|
||||
a directory. The sink is invoked with raw JPEG-encoded bytes and a
|
||||
monotonic-ms timestamp that starts at 0 and advances by the period
|
||||
derived from ``self._cadence.fps``.
|
||||
"""
|
||||
raise NotImplementedError(
|
||||
"FrameSourceReplayer.replay_image_directory is owned by AZ-407 — "
|
||||
"AZ-406 supplies only the public surface."
|
||||
if not directory.exists() or not directory.is_dir():
|
||||
raise FileNotFoundError(
|
||||
f"frame directory not found: {directory}"
|
||||
)
|
||||
files = sorted(
|
||||
p for p in directory.iterdir()
|
||||
if p.is_file() and p.suffix.lower() in _IMAGE_EXTENSIONS
|
||||
)
|
||||
return self._emit_files(files)
|
||||
|
||||
def replay_video(self, video_path: Path) -> int:
|
||||
"""Replay an MP4 / .h264 file frame-by-frame. Returns count emitted.
|
||||
"""Replay frames from ``video_path``. Returns count emitted.
|
||||
|
||||
Raises NotImplementedError until AZ-408 lands.
|
||||
Auto-detects:
|
||||
* a regular file (``.mp4`` / ``.avi`` / ``.h264``) — decoded with
|
||||
OpenCV ``VideoCapture`` and re-encoded as JPEG before emission.
|
||||
* a directory — delegates to ``replay_image_directory`` so the
|
||||
AZ-408 injectors that emit frame directories can use this entry
|
||||
point without the caller knowing the difference.
|
||||
|
||||
Raises ``FileNotFoundError`` on a missing path.
|
||||
"""
|
||||
raise NotImplementedError(
|
||||
"FrameSourceReplayer.replay_video is owned by AZ-408 — "
|
||||
"AZ-406 supplies only the public surface."
|
||||
)
|
||||
if not video_path.exists():
|
||||
raise FileNotFoundError(f"video path not found: {video_path}")
|
||||
if video_path.is_dir():
|
||||
return self.replay_image_directory(video_path)
|
||||
return self._decode_and_emit_video(video_path)
|
||||
|
||||
def _decode_and_emit_video(self, video_path: Path) -> int:
|
||||
cap = cv2.VideoCapture(str(video_path))
|
||||
if not cap.isOpened():
|
||||
raise ValueError(f"OpenCV failed to open video: {video_path}")
|
||||
try:
|
||||
encoded_fps = cap.get(cv2.CAP_PROP_FPS) or 0.0
|
||||
fps = encoded_fps if (self._cadence.realtime and encoded_fps > 0) else self._cadence.fps
|
||||
period_ms = self._period_ms(fps)
|
||||
emitted = 0
|
||||
t_ms = 0
|
||||
while True:
|
||||
ok, frame = cap.read()
|
||||
if not ok:
|
||||
break
|
||||
success, encoded = cv2.imencode(".jpg", frame)
|
||||
if not success:
|
||||
raise ValueError(
|
||||
f"OpenCV failed to JPEG-encode frame {emitted} of {video_path}"
|
||||
)
|
||||
self._sink.write_frame(encoded.tobytes(), t_ms)
|
||||
emitted += 1
|
||||
t_ms += period_ms
|
||||
if self._cadence.realtime and period_ms > 0:
|
||||
self._sleep(period_ms / 1000.0)
|
||||
return emitted
|
||||
finally:
|
||||
cap.release()
|
||||
|
||||
def _emit_files(self, files: list[Path]) -> int:
|
||||
period_ms = self._period_ms(self._cadence.fps)
|
||||
emitted = 0
|
||||
t_ms = 0
|
||||
for path in files:
|
||||
jpeg_bytes = path.read_bytes()
|
||||
if path.suffix.lower() != ".jpg" and path.suffix.lower() != ".jpeg":
|
||||
# Re-encode non-JPEG sources so the sink always gets JPEG bytes.
|
||||
img = cv2.imread(str(path), cv2.IMREAD_UNCHANGED)
|
||||
if img is None:
|
||||
raise ValueError(f"OpenCV failed to read image: {path}")
|
||||
success, encoded = cv2.imencode(".jpg", img)
|
||||
if not success:
|
||||
raise ValueError(f"OpenCV failed to JPEG-encode image: {path}")
|
||||
jpeg_bytes = encoded.tobytes()
|
||||
self._sink.write_frame(jpeg_bytes, t_ms)
|
||||
emitted += 1
|
||||
t_ms += period_ms
|
||||
if self._cadence.realtime and period_ms > 0:
|
||||
self._sleep(period_ms / 1000.0)
|
||||
return emitted
|
||||
|
||||
@staticmethod
|
||||
def _period_ms(fps: float) -> int:
|
||||
if fps <= 0:
|
||||
return 0
|
||||
return int(round(1000.0 / fps))
|
||||
|
||||
@@ -3,17 +3,27 @@
|
||||
CSV schema (from `_docs/00_problem/input_data/flight_derkachi/data_imu.csv`):
|
||||
timestamp_ms,ax,ay,az,gx,gy,gz,roll_deg,pitch_deg,yaw_deg,baro_m
|
||||
|
||||
Owned by AZ-406 (public surface) + AZ-407 (concrete file-driver
|
||||
implementation). This module commits to the type signatures the
|
||||
per-scenario tests will import; the actual MAVLink / MSP2 emission is
|
||||
wired up by the downstream task.
|
||||
Numeric fields are accepted in any float-parseable form, including
|
||||
scientific notation (``-4.44E-16``) — the AZ-408 source CSV uses that
|
||||
form for near-zero values.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import csv
|
||||
import math
|
||||
import time
|
||||
from dataclasses import dataclass
|
||||
from pathlib import Path
|
||||
from typing import Protocol
|
||||
from typing import Callable, Protocol
|
||||
|
||||
_REQUIRED_COLUMNS = (
|
||||
"timestamp_ms",
|
||||
"ax", "ay", "az",
|
||||
"gx", "gy", "gz",
|
||||
"roll_deg", "pitch_deg", "yaw_deg",
|
||||
"baro_m",
|
||||
)
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
@@ -34,20 +44,67 @@ class FcInboundEmitter(Protocol):
|
||||
...
|
||||
|
||||
|
||||
def _parse_row(row: dict[str, str], source: Path, line_no: int) -> ImuSample:
|
||||
try:
|
||||
return ImuSample(
|
||||
timestamp_ms=int(round(float(row["timestamp_ms"]))),
|
||||
accel_mss=(float(row["ax"]), float(row["ay"]), float(row["az"])),
|
||||
gyro_rps=(float(row["gx"]), float(row["gy"]), float(row["gz"])),
|
||||
attitude_rad=(
|
||||
math.radians(float(row["roll_deg"])),
|
||||
math.radians(float(row["pitch_deg"])),
|
||||
math.radians(float(row["yaw_deg"])),
|
||||
),
|
||||
baro_alt_m=float(row["baro_m"]),
|
||||
)
|
||||
except (KeyError, ValueError) as exc:
|
||||
raise ValueError(
|
||||
f"IMU CSV row malformed at {source}:{line_no}: {exc}"
|
||||
) from exc
|
||||
|
||||
|
||||
class ImuReplayer:
|
||||
"""Drives an `FcInboundEmitter` from a CSV file at the recorded cadence."""
|
||||
|
||||
def __init__(self, emitter: FcInboundEmitter, rate_hz: float = 10.0) -> None:
|
||||
def __init__(
|
||||
self,
|
||||
emitter: FcInboundEmitter,
|
||||
rate_hz: float = 10.0,
|
||||
*,
|
||||
sleep_fn: Callable[[float], None] = time.sleep,
|
||||
realtime: bool = True,
|
||||
) -> None:
|
||||
if rate_hz <= 0:
|
||||
raise ValueError(f"rate_hz must be positive; got {rate_hz}")
|
||||
self._emitter = emitter
|
||||
self._rate_hz = rate_hz
|
||||
self._sleep = sleep_fn
|
||||
self._realtime = realtime
|
||||
|
||||
def replay(self, csv_path: Path) -> int:
|
||||
"""Replay the CSV file. Returns the number of samples emitted.
|
||||
|
||||
Concrete implementation is owned by AZ-407 (FT-P-02 derkachi-drift
|
||||
+ FT-P-04 frame-to-frame registration are the first consumers).
|
||||
Raises ``FileNotFoundError`` on missing CSV. Raises ``ValueError``
|
||||
on missing columns or a row that does not parse. When ``realtime``
|
||||
is True (default), sleeps ``1 / rate_hz`` seconds between
|
||||
emissions; tests should pass ``realtime=False`` or inject a
|
||||
no-op ``sleep_fn`` to keep the unit suite fast.
|
||||
"""
|
||||
raise NotImplementedError(
|
||||
"ImuReplayer.replay is owned by AZ-407 — AZ-406 supplies only "
|
||||
"the public surface."
|
||||
)
|
||||
if not csv_path.exists():
|
||||
raise FileNotFoundError(f"IMU CSV not found: {csv_path}")
|
||||
emitted = 0
|
||||
period_s = 1.0 / self._rate_hz
|
||||
with csv_path.open() as fh:
|
||||
reader = csv.DictReader(fh)
|
||||
missing = [c for c in _REQUIRED_COLUMNS if c not in (reader.fieldnames or [])]
|
||||
if missing:
|
||||
raise ValueError(
|
||||
f"IMU CSV {csv_path} missing required columns: {missing}"
|
||||
)
|
||||
for line_no, row in enumerate(reader, start=2): # +1 for header line
|
||||
sample = _parse_row(row, csv_path, line_no)
|
||||
self._emitter.emit(sample)
|
||||
emitted += 1
|
||||
if self._realtime:
|
||||
self._sleep(period_s)
|
||||
return emitted
|
||||
|
||||
Reference in New Issue
Block a user