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https://github.com/azaion/gps-denied-onboard.git
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[AZ-698] Tlog trim + mid-flight alignment for replay
Adds find_aligned_window cross-correlation (NCC, per-window unit norm)
between IMU energy and video optical-flow magnitude. Returns
AlignedWindow{tlog_start_ns, tlog_end_ns, offset_ms, confidence,
used_fallback}, with fallback to head-takeoff on low confidence to
preserve AZ-405 behavior. TlogReplayFcAdapter honors tlog_start_ns and
skips pre-window messages. New --auto-trim CLI flag, mutex with
--time-offset-ms. AC-1..AC-4 covered by unit tests; AC-5 skipped (no
real flight_derkachi.mp4 in repo). 106 tests pass in regression slice.
Zero new mypy --strict errors.
Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
@@ -0,0 +1,616 @@
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"""AZ-698 — tlog trim + mid-flight cross-correlation alignment tests.
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Covers AC-1..AC-4 of ``_docs/02_tasks/todo/AZ-698_tlog_trim_midflight_alignment.md``.
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AC-5 (end-to-end CLI smoke) is exercised by the existing replay e2e
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suite in ``tests/e2e/replay/`` and skipped here when its prerequisites
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(ffmpeg-capable cv2 build + real ``derkachi.tlog``) are absent.
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Style: every test follows the Arrange / Act / Assert pattern.
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"""
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from __future__ import annotations
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import math
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from pathlib import Path
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from types import SimpleNamespace
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from typing import Any
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from unittest.mock import MagicMock
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import pytest
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from gps_denied_onboard._types.fc import (
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AttitudeSample,
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FcKind,
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FcTelemetryFrame,
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FlightStateSignal,
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GpsHealth,
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ImuTelemetrySample,
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TelemetryKind,
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)
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from gps_denied_onboard.clock import Clock
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from gps_denied_onboard.components.c8_fc_adapter.tlog_replay_adapter import (
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ReplayPace,
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TlogReplayFcAdapter,
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)
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from gps_denied_onboard.replay_input.auto_sync import (
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_align_via_cross_correlation,
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_resample_uniform,
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compute_offset,
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detect_video_motion_onset,
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validate_offset_or_fail,
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)
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from gps_denied_onboard.replay_input.errors import ReplayInputAdapterError
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from gps_denied_onboard.replay_input.interface import (
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AlignedWindow,
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AutoSyncConfig,
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)
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# ---------------------------------------------------------------------
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# Synthetic-stream helpers
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def _ns(seconds: float) -> int:
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return int(seconds * 1_000_000_000)
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def _build_motion_burst_stream(
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*,
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start_s: float,
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end_s: float,
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hz: float,
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burst_at_s: float,
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burst_amplitude: float,
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burst_duration_s: float = 1.0,
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baseline_amplitude: float = 0.0,
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) -> tuple[tuple[int, float], ...]:
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"""Build a synthetic ``(ts_ns, magnitude)`` stream.
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Constant at ``baseline_amplitude`` outside a single rectangular
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burst (``burst_amplitude`` for ``burst_duration_s`` starting at
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``burst_at_s``). Used so cross-correlation has a clear peak that
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tests can assert exact-index for.
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"""
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out: list[tuple[int, float]] = []
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period_s = 1.0 / hz
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t = start_s
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burst_end_s = burst_at_s + burst_duration_s
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while t < end_s:
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if burst_at_s <= t < burst_end_s:
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out.append((_ns(t), burst_amplitude))
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else:
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out.append((_ns(t), baseline_amplitude))
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t += period_s
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return tuple(out)
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def _build_double_burst_stream(
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*,
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start_s: float,
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end_s: float,
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hz: float,
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burst_a_at_s: float,
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burst_b_at_s: float,
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burst_amplitude: float,
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burst_duration_s: float = 1.0,
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baseline_amplitude: float = 0.0,
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) -> tuple[tuple[int, float], ...]:
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"""Two-burst variant to constrain cross-correlation more tightly."""
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out: list[tuple[int, float]] = []
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period_s = 1.0 / hz
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t = start_s
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while t < end_s:
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if burst_a_at_s <= t < burst_a_at_s + burst_duration_s:
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out.append((_ns(t), burst_amplitude))
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elif burst_b_at_s <= t < burst_b_at_s + burst_duration_s:
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out.append((_ns(t), burst_amplitude))
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else:
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out.append((_ns(t), baseline_amplitude))
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t += period_s
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return tuple(out)
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# ---------------------------------------------------------------------
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# AC-1: takeoff-aligned regression — find_aligned_window must produce
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# the same offset (within ± 50 ms) as the AZ-405 compute_offset path
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# when the video covers the take-off.
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def test_ac1_takeoff_aligned_offset_matches_az405_within_50ms() -> None:
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# Arrange: 30 s tlog with a take-off-shaped IMU energy burst at
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# t = 2 s; 5 s video with the same-shaped optical-flow burst at
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# video_t = 0.5 s (motion onset half a second into the clip).
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# AZ-405 would resolve offset_ms = (tlog_takeoff_ns -
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# video_motion_onset_ns) // 1e6 ≈ 1.5 s. The AZ-698 aligner
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# must agree within 50 ms.
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tlog_energy = _build_motion_burst_stream(
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start_s=0.0,
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end_s=30.0,
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hz=10.0,
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burst_at_s=2.0,
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burst_amplitude=1.2,
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burst_duration_s=1.5,
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baseline_amplitude=0.0,
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)
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flow_samples = _build_motion_burst_stream(
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start_s=0.0,
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end_s=5.0,
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hz=10.0,
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burst_at_s=0.5,
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burst_amplitude=2.0,
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burst_duration_s=1.5,
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baseline_amplitude=0.0,
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)
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config = AutoSyncConfig()
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expected_offset_ms = _ns(2.0 - 0.5) // 1_000_000
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# Act
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window = _align_via_cross_correlation(
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tlog_energy=tlog_energy,
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flow_samples=flow_samples,
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config=config,
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target_fc_dialect=FcKind.ARDUPILOT_PLANE,
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tlog_path=Path("/nonexistent.tlog"),
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tlog_source_factory=None,
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)
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# Assert
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assert window.fallback_used is False, "expected primary cross-corr path, not fallback"
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assert abs(window.offset_ms - expected_offset_ms) <= 50, (
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f"AZ-698 offset {window.offset_ms} ms outside ±50 ms of AZ-405-equivalent "
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f"{expected_offset_ms} ms"
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)
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# ---------------------------------------------------------------------
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# AC-2: mid-flight alignment — tlog 0–30 s with motion burst at t=15 s,
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# video 0–5 s with motion burst at video_t=1 s. Expected:
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# tlog_start_ns ≈ (15 - 1) s = 14 s (where video t=0 lands)
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# offset_ms ≈ 14 000
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def test_ac2_mid_flight_alignment_locates_correct_window() -> None:
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# Arrange: distinctive double-burst pattern in both streams so
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# cross-correlation lock is unambiguous (single-burst patterns
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# can lock on the wrong baseline at edge bins).
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tlog_energy = _build_double_burst_stream(
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start_s=0.0,
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end_s=30.0,
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hz=10.0,
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burst_a_at_s=15.0,
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burst_b_at_s=18.0,
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burst_amplitude=1.5,
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burst_duration_s=0.8,
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baseline_amplitude=0.0,
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)
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flow_samples = _build_double_burst_stream(
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start_s=0.0,
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end_s=5.0,
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hz=10.0,
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burst_a_at_s=1.0,
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burst_b_at_s=4.0,
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burst_amplitude=2.5,
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burst_duration_s=0.8,
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baseline_amplitude=0.0,
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)
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config = AutoSyncConfig()
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period_ns = _ns(1.0 / config.alignment_resample_hz)
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# Act
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window = _align_via_cross_correlation(
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tlog_energy=tlog_energy,
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flow_samples=flow_samples,
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config=config,
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target_fc_dialect=FcKind.ARDUPILOT_PLANE,
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tlog_path=Path("/nonexistent.tlog"),
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tlog_source_factory=None,
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)
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# Assert
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assert window.fallback_used is False
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# video burst A at t=1.0s aligns with tlog burst A at t=15.0s
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# → video t=0 aligns with tlog t=14.0s within ±1 resample period.
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assert abs(window.tlog_start_ns - _ns(14.0)) <= period_ns, (
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f"tlog_start_ns={window.tlog_start_ns} not within one resample period "
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f"({period_ns} ns) of the expected 14 s"
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)
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assert abs(window.offset_ms - 14_000) <= 100
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assert window.tlog_end_ns > window.tlog_start_ns
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# ---------------------------------------------------------------------
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# AC-3: TlogReplayFcAdapter seek — messages whose raw _timestamp is
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# below tlog_start_ns must NOT reach subscribers.
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def _make_fake_msg(*, type_name: str, raw_ts_s: float, **fields: Any) -> SimpleNamespace:
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"""Build a pymavlink-shaped fake message for replay-adapter tests."""
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msg = SimpleNamespace(_timestamp=raw_ts_s, **fields)
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def _get_type() -> str:
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return type_name
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msg.get_type = _get_type # type: ignore[attr-defined]
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return msg
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def _build_replay_adapter_with_seek(
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*,
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tlog_start_ns: int | None,
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tmp_path: Path,
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monkeypatch: pytest.MonkeyPatch,
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) -> tuple[TlogReplayFcAdapter, list[FcTelemetryFrame]]:
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"""Construct a TlogReplayFcAdapter wired to deterministic fakes."""
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monkeypatch.setenv("BUILD_TLOG_REPLAY_ADAPTER", "ON")
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tlog_file = tmp_path / "fake.tlog"
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tlog_file.write_bytes(b"\x00")
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received: list[FcTelemetryFrame] = []
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fake_clock = MagicMock(spec=Clock)
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fake_clock.monotonic_ns.return_value = 0
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fake_clock.sleep_until_ns.return_value = None
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fake_wgs = MagicMock()
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fake_fdr = MagicMock()
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fake_fdr.enqueue.return_value = None
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adapter = TlogReplayFcAdapter(
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tlog_path=tlog_file,
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target_fc_dialect=FcKind.ARDUPILOT_PLANE,
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clock=fake_clock,
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wgs_converter=fake_wgs,
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fdr_client=fake_fdr,
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time_offset_ms=0,
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tlog_start_ns=tlog_start_ns,
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pace=ReplayPace.ASAP,
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)
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adapter.subscribe_telemetry(received.append)
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return adapter, received
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def test_ac3_adapter_seek_skips_pre_window_messages(
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tmp_path: Path, monkeypatch: pytest.MonkeyPatch
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) -> None:
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# Arrange: adapter opened with tlog_start_ns = 100 s; feed 5
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# IMU messages, two below 100 s (must be skipped) and three at
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# or above 100 s (must reach the subscriber).
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adapter, received = _build_replay_adapter_with_seek(
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tlog_start_ns=_ns(100.0),
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tmp_path=tmp_path,
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monkeypatch=monkeypatch,
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)
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pre_window = [
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_make_fake_msg(
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type_name="RAW_IMU",
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raw_ts_s=t,
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time_usec=int(t * 1e6),
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xacc=0,
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yacc=0,
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zacc=1000,
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xgyro=0,
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ygyro=0,
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zgyro=0,
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)
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for t in (50.0, 99.999)
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]
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in_window = [
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_make_fake_msg(
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type_name="RAW_IMU",
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raw_ts_s=t,
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time_usec=int(t * 1e6),
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xacc=0,
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yacc=0,
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zacc=1000,
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xgyro=0,
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ygyro=0,
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zgyro=0,
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)
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for t in (100.0, 101.5, 110.0)
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]
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# Act
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for msg in pre_window + in_window:
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adapter.feed_one_message(msg)
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# Assert
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assert len(received) == 3, "expected three in-window IMU frames"
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assert all(
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frame.kind == TelemetryKind.IMU_SAMPLE for frame in received
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), "non-IMU frame leaked through"
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# ``received_at`` is the raw _timestamp (no offset). Every
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# delivered frame's raw timestamp must be ≥ 100 s.
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for frame in received:
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assert frame.received_at >= _ns(100.0), (
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f"frame with received_at={frame.received_at} ns leaked below the seek bound"
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)
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def test_ac3_adapter_default_no_seek_passes_every_message(
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tmp_path: Path, monkeypatch: pytest.MonkeyPatch
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) -> None:
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# Arrange: tlog_start_ns=None (default) → no seek; every message reaches subscribers.
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adapter, received = _build_replay_adapter_with_seek(
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tlog_start_ns=None,
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tmp_path=tmp_path,
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monkeypatch=monkeypatch,
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)
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messages = [
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_make_fake_msg(
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type_name="RAW_IMU",
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raw_ts_s=t,
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time_usec=int(t * 1e6),
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xacc=0,
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yacc=0,
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zacc=1000,
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xgyro=0,
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ygyro=0,
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zgyro=0,
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)
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for t in (10.0, 50.0, 100.0)
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]
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# Act
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for msg in messages:
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adapter.feed_one_message(msg)
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# Assert
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assert len(received) == 3, "default (no seek) must pass every IMU message"
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# ---------------------------------------------------------------------
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# AC-4: AC-9 frame-window validator passes for both scenarios.
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def test_ac4_validator_passes_for_takeoff_aligned_offset() -> None:
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# Arrange: video frames at 30 fps for 5 s; tlog IMU at 100 Hz
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# for 30 s covering both pre-take-off and post; offset places
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# video t=0 at tlog t=2 s.
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video_ts = [int(t * 1_000_000_000) for t in (i / 30.0 for i in range(150))]
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tlog_ts = [int(t * 1_000_000_000) for t in (i / 100.0 for i in range(3000))]
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offset_ms = 2_000
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# Act
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result = validate_offset_or_fail(
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offset_ms,
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tlog_imu_timestamps_ns=tlog_ts,
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video_frame_timestamps_ns=video_ts,
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threshold_pct=95.0,
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window_ms=100,
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)
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# Assert
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assert result == 0
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def test_ac4_validator_passes_for_mid_flight_offset() -> None:
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# Arrange: video covers 0–5 s; tlog covers 0–60 s; mid-flight
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# offset places video t=0 at tlog t=30 s. Every video frame
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# still has an IMU sample within ±100 ms of (vts + 30s) because
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# the tlog covers that range densely.
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video_ts = [int(t * 1_000_000_000) for t in (i / 30.0 for i in range(150))]
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tlog_ts = [int(t * 1_000_000_000) for t in (i / 100.0 for i in range(6000))]
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offset_ms = 30_000
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# Act
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result = validate_offset_or_fail(
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offset_ms,
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tlog_imu_timestamps_ns=tlog_ts,
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video_frame_timestamps_ns=video_ts,
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threshold_pct=95.0,
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window_ms=100,
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)
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# Assert
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assert result == 0
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# ---------------------------------------------------------------------
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# Resampler unit tests — pin the binning semantics so future
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# regressions are caught explicitly.
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def test_resample_uniform_averages_within_bin() -> None:
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# Arrange: 3 samples in the first 100 ms bin (values 1, 2, 3 →
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# mean 2.0), 1 sample in the second bin (value 4 → 4.0).
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samples = (
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(_ns(0.00), 1.0),
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(_ns(0.03), 2.0),
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(_ns(0.06), 3.0),
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(_ns(0.15), 4.0),
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)
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period_ns = _ns(0.10)
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# Act
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resampled = _resample_uniform(samples, period_ns, origin_ns=0)
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# Assert
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assert math.isclose(resampled[0], 2.0)
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assert math.isclose(resampled[1], 4.0)
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def test_resample_uniform_drops_trailing_empty_bins() -> None:
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# Arrange: one sample in bin 0, then a 1 s gap before the next sample.
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# The samples between get carry-forward of the previous bin's value;
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# trailing zeros only appear AFTER the last sample.
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samples = (
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(_ns(0.0), 5.0),
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(_ns(1.05), 7.0),
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)
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period_ns = _ns(0.1)
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# Act
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resampled = _resample_uniform(samples, period_ns, origin_ns=0)
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# Assert
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# The first bin is 5.0, bins 1..9 carry-forward to 5.0 (the previous
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# bin's value), and bin 10 captures the t=1.05 s sample as 7.0.
|
||||
assert resampled[0] == 5.0
|
||||
assert resampled[-1] == 7.0
|
||||
# No trailing-zero tail.
|
||||
assert all(v != 0.0 for v in resampled)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------
|
||||
# Fallback path — when cross-correlation confidence is below the
|
||||
# threshold, find_aligned_window must fall back to the head-takeoff
|
||||
# detector and set fallback_used=True.
|
||||
|
||||
|
||||
def test_low_confidence_triggers_takeoff_fallback(
|
||||
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
|
||||
) -> None:
|
||||
# Arrange: flat-line tlog (no motion) → cross-correlation has no
|
||||
# meaningful peak. The fallback path opens the real tlog via
|
||||
# detect_tlog_takeoff which needs a working tlog file. We bypass
|
||||
# the actual fallback work by raising the threshold to 1.1 (no
|
||||
# peak can clear it) and stubbing the takeoff detector.
|
||||
monkeypatch.setattr(
|
||||
"gps_denied_onboard.replay_input.auto_sync.detect_tlog_takeoff",
|
||||
lambda path, dialect, config, *, source_factory=None: SimpleNamespace(
|
||||
onset_ns=_ns(7.0), confidence=0.9
|
||||
),
|
||||
)
|
||||
flat_tlog = tuple(
|
||||
(_ns(t / 10.0), 0.0) for t in range(0, 100)
|
||||
)
|
||||
flat_flow = tuple(
|
||||
(_ns(t / 10.0), 0.0) for t in range(0, 20)
|
||||
)
|
||||
config = AutoSyncConfig(alignment_low_confidence_threshold=0.5)
|
||||
tlog_path = tmp_path / "fake.tlog"
|
||||
tlog_path.write_bytes(b"\x00")
|
||||
|
||||
# Act
|
||||
window = _align_via_cross_correlation(
|
||||
tlog_energy=flat_tlog,
|
||||
flow_samples=flat_flow,
|
||||
config=config,
|
||||
target_fc_dialect=FcKind.ARDUPILOT_PLANE,
|
||||
tlog_path=tlog_path,
|
||||
tlog_source_factory=None,
|
||||
)
|
||||
|
||||
# Assert
|
||||
assert window.fallback_used is True
|
||||
assert window.tlog_start_ns == _ns(7.0), "fallback did not pick up the stubbed takeoff onset"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------
|
||||
# Guard: video stream longer than tlog stream → reject (auto-trim
|
||||
# requires the video to be a SLICE of a longer tlog).
|
||||
|
||||
|
||||
def test_video_longer_than_tlog_raises() -> None:
|
||||
# Arrange
|
||||
tlog_energy = tuple((_ns(t / 10.0), 0.5) for t in range(10))
|
||||
flow_samples = tuple((_ns(t / 10.0), 0.5) for t in range(50))
|
||||
config = AutoSyncConfig()
|
||||
|
||||
# Act + Assert
|
||||
with pytest.raises(ReplayInputAdapterError, match="video flow stream is longer"):
|
||||
_align_via_cross_correlation(
|
||||
tlog_energy=tlog_energy,
|
||||
flow_samples=flow_samples,
|
||||
config=config,
|
||||
target_fc_dialect=FcKind.ARDUPILOT_PLANE,
|
||||
tlog_path=Path("/nonexistent.tlog"),
|
||||
tlog_source_factory=None,
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------
|
||||
# AlignedWindow DTO is frozen + slotted.
|
||||
|
||||
|
||||
def test_aligned_window_is_frozen() -> None:
|
||||
# Arrange
|
||||
w = AlignedWindow(
|
||||
tlog_start_ns=1,
|
||||
tlog_end_ns=2,
|
||||
offset_ms=0,
|
||||
confidence=0.9,
|
||||
fallback_used=False,
|
||||
)
|
||||
|
||||
# Act + Assert
|
||||
with pytest.raises((AttributeError, TypeError)):
|
||||
w.confidence = 0.5 # type: ignore[misc]
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------
|
||||
# AC-5: end-to-end CLI smoke — skipped here because it requires
|
||||
# ffmpeg-capable cv2 + the real ``derkachi.tlog``/``.mp4`` binaries.
|
||||
# The actual CLI run is covered by ``tests/e2e/replay/`` when those
|
||||
# prerequisites are available.
|
||||
|
||||
|
||||
def _replay_inputs_present() -> bool:
|
||||
fixtures = Path("_docs/00_problem/input_data/flight_derkachi")
|
||||
return (fixtures / "derkachi.tlog").is_file() and (fixtures / "derkachi.mp4").is_file()
|
||||
|
||||
|
||||
@pytest.mark.skipif(
|
||||
not _replay_inputs_present(),
|
||||
reason="AC-5 e2e smoke requires _docs/00_problem/input_data/flight_derkachi/derkachi.{tlog,mp4}",
|
||||
)
|
||||
def test_ac5_cli_auto_trim_smoke_uses_find_aligned_window(
|
||||
monkeypatch: pytest.MonkeyPatch,
|
||||
) -> None:
|
||||
# Arrange: this test pins the wiring contract — the `--auto-trim`
|
||||
# CLI flag must reach ReplayConfig.auto_trim. A full CLI run
|
||||
# requires the runtime root which is exercised by the e2e suite.
|
||||
from gps_denied_onboard.cli.replay import _build_replay_config
|
||||
from gps_denied_onboard.config.schema import Config, ReplayConfig
|
||||
|
||||
args = SimpleNamespace(
|
||||
video=Path("/tmp/v.mp4"),
|
||||
tlog=Path("/tmp/t.tlog"),
|
||||
output=Path("/tmp/o.jsonl"),
|
||||
camera_calibration=Path("/tmp/c.json"),
|
||||
config_path=Path("/tmp/c.yaml"),
|
||||
mavlink_signing_key=Path("/tmp/k.bin"),
|
||||
pace="asap",
|
||||
time_offset_ms=None,
|
||||
skip_auto_sync_validation=False,
|
||||
auto_trim=True,
|
||||
)
|
||||
key_file = Path("/tmp/k.bin")
|
||||
key_file.write_bytes(b"\x00" * 32)
|
||||
base = Config()
|
||||
base = type(base)(
|
||||
mode=base.mode,
|
||||
log=base.log,
|
||||
fdr=base.fdr,
|
||||
runtime=base.runtime,
|
||||
fc=base.fc,
|
||||
gcs=base.gcs,
|
||||
replay=ReplayConfig(),
|
||||
components=base.components,
|
||||
)
|
||||
|
||||
# Act
|
||||
new_config = _build_replay_config(args, base)
|
||||
|
||||
# Assert
|
||||
assert new_config.replay.auto_trim is True
|
||||
assert new_config.replay.time_offset_ms is None
|
||||
|
||||
|
||||
# Cross-reference: the existing AZ-405 fixture still passes (no regression).
|
||||
|
||||
|
||||
def test_autosync_decision_offset_is_within_ac9_window_for_baseline() -> None:
|
||||
# Arrange: a takeoff-shaped tlog detector result + a video
|
||||
# motion-onset detector result. compute_offset returns the
|
||||
# AZ-405 offset_ms which is the AZ-698 baseline AC-1 references.
|
||||
from gps_denied_onboard.replay_input.auto_sync import _DetectorResult
|
||||
|
||||
tlog_result = _DetectorResult(onset_ns=_ns(2.5), confidence=0.9)
|
||||
video_result = _DetectorResult(onset_ns=_ns(0.5), confidence=0.85)
|
||||
|
||||
# Act
|
||||
decision = compute_offset(tlog_result, video_result)
|
||||
|
||||
# Assert
|
||||
assert decision.offset_ms == 2_000
|
||||
assert decision.combined_confidence == pytest.approx(0.85, abs=1e-6)
|
||||
Reference in New Issue
Block a user