[AZ-404] [AZ-389] [AZ-559] E2E replay test (Derkachi 60s) + AZ-389 cleanup

Batch 63 of /autodev replay slice. Adds the AZ-404 E2E test harness
against the Derkachi fixture and resolves the AZ-389 dependency
phantom (closing AZ-559 Won't Fix).

E2E test (AZ-404)
- tests/e2e/replay/_tlog_synth.py: deterministic CSV->tlog generator
  (the original Derkachi tlog is not in repo; data_imu.csv is its
  export, so we round-trip the CSV through pymavlink). Verified:
  SCALED_IMU2 + ATTITUDE + GPS_RAW_INT + HEARTBEAT round-trip cleanly
  through mavutil.mavlink_connection.
- tests/e2e/replay/_helpers.py: parse_jsonl, l2_horizontal_m
  (haversine), match_percentage, CapturingMavlinkTransport (ready
  for AZ-558 unblock), GroundTruthRow + load_ground_truth_csv.
- tests/e2e/replay/conftest.py: derkachi_replay_inputs (session
  scope), replay_runner (subprocess fixture per AZ-402 CLI),
  operator_pre_flight_setup placeholder.
- tests/e2e/replay/test_derkachi_1min.py: 9 tests covering AC-1..AC-8
  with AC-7 skip-gate self-check + AC-4a mode-agnosticism AST scan
  (passes unconditionally, confirms ADR-011 holding).
- tests/e2e/replay/test_helpers.py: 14 unit tests covering AC-9
  helper L2 correctness + match_percentage + parse_jsonl +
  CapturingMavlinkTransport (all unconditional).
- tests/e2e/replay/README.md: AC matrix, fixture state, runtime
  budget, failure cookbook (AC-10).

AC matrix
- AC-1, AC-2, AC-5, AC-6 implemented and Tier-1 gated on
  RUN_REPLAY_E2E=1.
- AC-3 (<=100m for 80%) xfail until real Topotek KHP20S30
  calibration ships (camera_info.md states intrinsics are unknown).
- AC-4a (mode-agnosticism AST scan) PASSES unconditionally.
- AC-4b (encoder byte-equality) skip until AZ-558 routes C8 bytes
  through MavlinkTransport.
- AC-7 (skip-gate self-check) PASSES unconditionally.
- AC-8 (operator workflow rehearsal) skip until D-PROJ-2
  mock-suite-sat-service implements tile-fetch + index-build
  endpoints.
- AC-9 (helper L2 correctness) 14 PASSES unconditionally.

AZ-389 housekeeping
- AZ-559 closed Won't Fix: investigation against
  c6_tile_cache/_types.py confirmed TileSource.ONBOARD_INGEST +
  TileMetadata.quality_metadata + write_tile's FreshnessRejectionError
  already cover the mid-flight ingest semantic. The "missing API"
  was a spec-vs-impl naming mismatch.
- AZ-389 spec rewritten to consume the existing write_tile API +
  catch FreshnessRejectionError per AC-NEW-3 opportunistic emission.
- _dependencies_table.md reverted: AZ-389 deps -> AZ-303 (was
  AZ-559 in the previous commit on this branch); total 150 / 497
  pts.

Tests
- Full regression: 2099 passed (+14 new e2e/replay), 94 skipped
  (incl. 8 e2e/replay heavy-tier + documented blocker skips), 3
  perf-microbench flakes deselected (test_cli_cold_start_under_2s,
  test_cold_start_under_500ms_p99, test_nfr_perf_sign_microbench;
  all pass in isolation - pre-existing under-load flakes on dev
  macOS).

Reviews
- _docs/03_implementation/reviews/batch_63_review.md: code review
  PASS_WITH_WARNINGS (3 documented spec-gap deferrals: AC-3, AC-4b,
  AC-8).
- _docs/03_implementation/cumulative_review_batches_61-63_cycle1_report.md:
  cumulative review PASS_WITH_WARNINGS. Action items: prioritise
  AZ-558 (closes AZ-401 AC-9 + AZ-404 AC-4b); consider 2pt hygiene
  PBI for Protocol-completeness AST scan to catch the AZ-389 /
  AZ-559 phantom-API pattern at task-prep time.

Architecture invariants observably holding
- ADR-011 (replay-as-configuration): AC-4a's AST scan over
  src/gps_denied_onboard/components/**/*.py finds zero violations -
  components branch on neither config.mode nor any synonym.
- Single composition root (replay protocol Invariant 11): AZ-402
  CLI dispatches to runtime_root.main(config); does not call
  compose_root directly.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
Oleksandr Bezdieniezhnykh
2026-05-14 21:41:39 +03:00
parent 4f10fd230f
commit d7e6b0959e
13 changed files with 1611 additions and 26 deletions
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# E2E replay tests (AZ-404)
End-to-end regression suite that runs the `gps-denied-replay`
console-script (AZ-402) against the Derkachi 60 s clip and asserts
the AZ-265 epic acceptance criteria.
## How to run
```bash
# In a fresh venv with the package installed:
RUN_REPLAY_E2E=1 pytest tests/e2e/replay/ -v
```
Without `RUN_REPLAY_E2E=1` the heavy tests skip cleanly. The two
unconditional tests (AC-4a mode-agnosticism scan + AC-7 skip-gate
self-check + the helpers in `test_helpers.py`) still run.
## Fixture state
| Artifact | Status | Source |
|----------|--------|--------|
| `flight_derkachi.mp4` | available | `_docs/00_problem/input_data/flight_derkachi/` |
| `data_imu.csv` | available | same dir; 4900 rows at 10 Hz over 489.9 s |
| Synthetic tlog | generated at fixture time | `_tlog_synth.py` reproduces a `pymavlink` `.tlog` from the CSV (the original tlog is not in-repo; the CSV was its export) |
| Camera calibration | placeholder (`tests/fixtures/calibration/adti26.json`) | The real Topotek KHP20S30 intrinsics are unknown per `camera_info.md`. AC-3 is `xfail`ed until a real calibration ships. |
| Operator pre-flight rehearsal | blocked | `tests/fixtures/mock-suite-sat-service/` is a bootstrap stub (only `GET /healthz`); AC-8 skips until the full D-PROJ-2 contract lands. |
## Clip range
The first 60 s of the Derkachi flight (Time=0.0 → Time=60.0). The
take-off region exercises the AZ-405 IMU-take-off auto-sync detector;
the cruise region that follows stresses the satellite-anchor + VIO
drift-correction path. To change the trim, edit `_CLIP_START_S` and
`_CLIP_END_S` in `conftest.py`.
## Expected runtime (Tier-1)
| Test | Expected wall clock |
|------|---------------------|
| AC-1 (`--pace asap`) | ≤ 30 s |
| AC-2 schema match | piggybacks on AC-1 |
| AC-5 determinism | 2 × asap runs (≤ 60 s total) |
| AC-6 realtime | 60 s ± 3 s |
| AC-6 asap | ≤ 30 s |
| Total suite | ≤ 6 min on Jetson AGX Orin |
The AC-1 / AC-2 / AC-5 tests share `--pace asap` runs but each
fixture invocation produces a fresh output file, so they do not
short-circuit each other (preserves AC-5's two-runs-diff guarantee).
## AC matrix
| AC | Test | State |
|----|------|-------|
| AC-1: exit 0 + JSONL count match | `test_ac1_exits_0_jsonl_count_match` | runs on Tier-1 |
| AC-2: JSONL schema match | `test_ac2_jsonl_schema_match` | runs on Tier-1 |
| AC-3: ≤ 100 m for 80 % of ticks | `test_ac3_within_100m_80pct_of_ticks` | `xfail` (waiting on real calibration) |
| AC-4a: mode-agnosticism AST scan | `test_ac4_mode_agnosticism_ast_scan` | unconditional |
| AC-4b: encoder byte-equality | `test_ac4_encoder_byte_equality` | `skip` (waiting on AZ-558) |
| AC-5: determinism | `test_ac5_determinism_two_runs_diff` | runs on Tier-1 |
| AC-6a: realtime 60 s ± 5 % | `test_ac6_pace_realtime_60s_within_5pct` | runs on Tier-1 |
| AC-6b: asap ≤ 30 s | `test_ac6_pace_asap_under_30s` | runs on Tier-1 |
| AC-7: skip-gate self-check | `test_ac7_skip_gate_consistent_with_env_var` | unconditional |
| AC-8: operator workflow rehearsal | `test_ac8_operator_workflow` | `skip` (waiting on D-PROJ-2 mock) |
| AC-9: helper L2 correctness | `test_helpers.py::test_ac9_l2_*` | unconditional |
| AC-10: README accuracy | this file | live |
## Failure-mode cookbook
| Symptom | Likely cause | Fix |
|---------|--------------|-----|
| `gps-denied-replay console-script not on PATH` | package not installed in the test venv | `pip install -e .` |
| AC-1 line count off by > 5 % | tlog synthesizer drifted from the CSV | regenerate by re-running the test (synthesizer is deterministic; non-determinism would be a real bug) |
| AC-3 fails at ~ 0 % even with calibration | wrong intrinsics OR wrong WGS84 ground truth source — verify the GLOBAL_POSITION_INT columns are still the AC-3 reference (per `flight_derkachi/README.md`) | re-derive ground truth |
| AC-5 determinism violated | non-deterministic float ordering in C5 estimator OR a clock leaked into the runtime | bisect via `git log` against the C5 / `clock` modules |
| AC-6 realtime drifts on shared CI | shared-runner contention; the spec allows widening to ± 5 s | adjust `_HEAVY_SKIP` boundary if it persists |
| `tlog missing required messages` | `_tlog_synth.py` lost a message group | check `_REQUIRED_MESSAGE_GROUPS` in `tlog_replay_adapter.py` against the synth output |
## Files
```
tests/e2e/replay/
├── README.md ← this file
├── __init__.py ← package marker + module-level docstring
├── _helpers.py ← parse_jsonl, l2_horizontal_m, match_percentage,
│ CapturingMavlinkTransport, GroundTruthRow
├── _tlog_synth.py ← CSV → tlog generator
├── conftest.py ← derkachi_replay_inputs, replay_runner,
│ operator_pre_flight_setup fixtures
├── test_helpers.py ← unit tests for _helpers (unconditional)
└── test_derkachi_1min.py ← AC-1..AC-8 + AC-7 skip gate + AC-4a AST scan
```
## Follow-up work
* **Real Topotek KHP20S30 calibration** — unblocks AC-3.
* **AZ-558** — closes AC-4b (route C8 encoders through `MavlinkTransport`).
* **D-PROJ-2 mock-suite-sat-service** — unblocks AC-8 (operator
workflow rehearsal).
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"""E2E replay tests (AZ-404 / E-DEMO-REPLAY).
Runs the ``gps-denied-replay`` console-script (AZ-402) end-to-end
against the Derkachi fixture. Gated by ``RUN_REPLAY_E2E=1`` per the
project's E2E pattern; reports SKIPPED when unset.
"""
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"""Helpers shared by the AZ-404 E2E replay tests.
* :func:`parse_jsonl` — read the ``JsonlReplaySink`` output into a list
of dicts with one entry per emit.
* :func:`l2_horizontal_m` — WGS84-aware L2 horizontal distance between
two ``(lat, lon)`` pairs in metres.
* :func:`match_percentage` — share of estimator emissions whose
L2 distance to the closest ground-truth row is within a threshold.
* :class:`CapturingMavlinkTransport` — test-only ``MavlinkTransport``
impl that records every ``write`` so AC-4b can compare the byte
streams produced by ``compose_root(config_live)`` vs.
``compose_root(config_replay)``.
* :func:`load_ground_truth_csv` — the IMU CSV's ``GLOBAL_POSITION_INT``
columns ARE the AC-3 reference (the original tlog's GPS rows
exported to CSV); this helper materialises them.
All functions are pure / deterministic and stay safely importable on
dev macOS without ``RUN_REPLAY_E2E``; the regular regression suite
calls them via the unit-level helper test in this module's sibling
``test_helpers.py``.
"""
from __future__ import annotations
import csv
import json
import math
from dataclasses import dataclass
from pathlib import Path
from typing import Any
__all__ = [
"CapturingMavlinkTransport",
"GroundTruthRow",
"l2_horizontal_m",
"load_ground_truth_csv",
"match_percentage",
"parse_jsonl",
]
# WGS84 mean Earth radius. Matches the value used by
# `helpers/wgs_converter.py` (AZ-279) so the e2e check is consistent
# with the production converter.
_EARTH_RADIUS_M: float = 6_371_008.8
@dataclass(frozen=True)
class GroundTruthRow:
"""One row from the Derkachi data_imu.csv ground-truth slice."""
t_s: float
lat_deg: float
lon_deg: float
alt_m: float
def parse_jsonl(path: Path) -> list[dict[str, Any]]:
"""Return one dict per line of a JsonlReplaySink output file.
Empty trailing lines are tolerated (orjson always terminates with
``\\n`` so the last newline is followed by ``""``); other empty
lines indicate a corrupt file and surface as a JSON decode error.
"""
records: list[dict[str, Any]] = []
with path.open(encoding="utf-8") as fp:
for lineno, line in enumerate(fp, start=1):
stripped = line.rstrip("\n")
if not stripped:
continue
try:
records.append(json.loads(stripped))
except json.JSONDecodeError as exc:
raise AssertionError(
f"line {lineno} in {path} is not valid JSON: {exc.msg!r}"
) from exc
return records
def l2_horizontal_m(
lat1_deg: float, lon1_deg: float, lat2_deg: float, lon2_deg: float
) -> float:
"""WGS84-spherical great-circle distance in metres.
Uses the haversine formula with the C5/AZ-279 mean Earth radius.
Sufficient for the AC-3 ≤ 100 m threshold (sub-metre accuracy at
the Derkachi latitude band; the spherical approximation diverges
from the WGS84 ellipsoid by < 0.5 % at these latitudes — well
within the AC-3 budget).
"""
phi1 = math.radians(lat1_deg)
phi2 = math.radians(lat2_deg)
dphi = phi2 - phi1
dlam = math.radians(lon2_deg - lon1_deg)
a = (
math.sin(dphi / 2.0) ** 2
+ math.cos(phi1) * math.cos(phi2) * math.sin(dlam / 2.0) ** 2
)
c = 2.0 * math.asin(min(1.0, math.sqrt(a)))
return _EARTH_RADIUS_M * c
def load_ground_truth_csv(csv_path: Path) -> list[GroundTruthRow]:
"""Load the Derkachi IMU CSV's GPS rows as ground truth.
The original ``flight_derkachi.tlog``'s ``GLOBAL_POSITION_INT``
messages were exported to ``data_imu.csv``; the ``lat / lon /
alt`` columns are degrees * 1e7 / metres * 1e3 (mavlink integer
encoding), so we divide accordingly.
"""
rows: list[GroundTruthRow] = []
with csv_path.open(newline="") as fp:
reader = csv.DictReader(fp)
for r in reader:
rows.append(
GroundTruthRow(
t_s=float(r["Time"]),
lat_deg=float(r["GLOBAL_POSITION_INT.lat"]) / 1e7,
lon_deg=float(r["GLOBAL_POSITION_INT.lon"]) / 1e7,
alt_m=float(r["GLOBAL_POSITION_INT.alt"]) / 1e3,
)
)
return rows
def match_percentage(
emissions: list[dict[str, Any]],
ground_truth: list[GroundTruthRow],
*,
threshold_m: float,
) -> float:
"""Share of emissions within ``threshold_m`` of the closest GT row.
For each emitted ``EstimatorOutput`` JSONL record, find the
nearest-in-time ground-truth row, compute the horizontal L2
distance, and count it as a hit when ≤ ``threshold_m``. Returns
the hit ratio in [0.0, 1.0].
Nearest-in-time is sufficient because the IMU CSV's 10 Hz cadence
(matching the C5 emit rate) means the candidate row is typically
< 50 ms off the emit timestamp — well below the AC-3 100 m budget.
"""
if not emissions:
return 0.0
if not ground_truth:
raise AssertionError("ground_truth must be non-empty")
gt_sorted = sorted(ground_truth, key=lambda r: r.t_s)
gt_times = [r.t_s for r in gt_sorted]
hits = 0
for emit in emissions:
emit_ts_ns = int(emit["emitted_at"])
emit_t_s = emit_ts_ns / 1e9
idx = _bisect_left(gt_times, emit_t_s)
candidates = []
if idx > 0:
candidates.append(gt_sorted[idx - 1])
if idx < len(gt_sorted):
candidates.append(gt_sorted[idx])
# Nearest-in-time row.
nearest = min(candidates, key=lambda r: abs(r.t_s - emit_t_s))
emit_pos = emit["position_wgs84"]
d = l2_horizontal_m(
emit_pos["lat_deg"],
emit_pos["lon_deg"],
nearest.lat_deg,
nearest.lon_deg,
)
if d <= threshold_m:
hits += 1
return hits / len(emissions)
def _bisect_left(seq: list[float], target: float) -> int:
"""Stdlib bisect_left, inlined to keep import surface narrow."""
lo, hi = 0, len(seq)
while lo < hi:
mid = (lo + hi) // 2
if seq[mid] < target:
lo = mid + 1
else:
hi = mid
return lo
class CapturingMavlinkTransport:
"""Test-only :class:`MavlinkTransport` that records every write.
Used by AZ-404 AC-4b: capture the byte streams produced by
``compose_root(config_live).c8.emit_external_position(out)`` and
``compose_root(config_replay).c8.emit_external_position(out)`` to
assert byte-identity per replay protocol Invariant 5.
NOTE: AC-4b is currently SKIPPED (blocked on AZ-558 — the C8
encoders still bypass the ``MavlinkTransport`` seam by calling
``mav.*_send`` directly). This class is in place so the test
fixture is ready the moment AZ-558 lands.
"""
def __init__(self) -> None:
self._chunks: list[bytes] = []
self._closed = False
def write(self, payload: bytes) -> int:
if self._closed:
raise RuntimeError("CapturingMavlinkTransport.write after close")
self._chunks.append(bytes(payload))
return len(payload)
def bytes_written(self) -> int:
return sum(len(c) for c in self._chunks)
def close(self) -> None:
self._closed = True
@property
def captured_payloads(self) -> tuple[bytes, ...]:
"""Tuple of every payload passed to :meth:`write`, in order."""
return tuple(self._chunks)
@property
def captured_concat(self) -> bytes:
"""All captured payloads concatenated — the wire-byte stream."""
return b"".join(self._chunks)
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"""Synthesize a pymavlink ``.tlog`` from the Derkachi ``data_imu.csv``.
The Derkachi fixture (``_docs/00_problem/input_data/flight_derkachi/``)
ships ``flight_derkachi.mp4`` + ``data_imu.csv`` only — the original
pymavlink tlog is not in-repo (it was the source the CSV was
*exported* from). The AZ-404 E2E test runs ``gps-denied-replay``
which expects a tlog input, so we round-trip the CSV back to a tlog
here.
Output schema (per ``tlog_replay_adapter._REQUIRED_MESSAGE_GROUPS``):
* ``SCALED_IMU2`` — one per CSV row (xacc/yacc/zacc/xgyro/ygyro/zgyro/
xmag/ymag/zmag fields map 1:1).
* ``GPS_RAW_INT`` — one per CSV row, derived from
``GLOBAL_POSITION_INT.lat / .lon / .alt / .vx / .vy``. ``fix_type``
is held at ``GPS_FIX_TYPE_3D_FIX`` (3) for every row — the CSV is
post-flight cleaned and contains valid GPS throughout.
* ``ATTITUDE`` — one per CSV row. roll/pitch are synthesized as zero
(the camera is mechanically locked nadir per
``camera_info.md``); yaw is derived from
``GLOBAL_POSITION_INT.hdg`` (cdeg → rad).
* ``HEARTBEAT`` — one per second so the tlog-replay adapter's
pre-scan find the type quickly.
The tlog binary format is the pymavlink convention: ``<8-byte
big-endian timestamp microseconds><raw MAVLink2 message bytes>``,
repeated. The C8 ``TlogReplayFcAdapter`` consumes it via
``mavutil.mavlink_connection(path, mavlink_version="2.0")``.
The synthesizer is deterministic: identical CSV → identical bytes.
The conftest caches the output path next to the CSV so repeat runs
short-circuit when the cache is up-to-date.
"""
from __future__ import annotations
import csv
import math
import struct
from pathlib import Path
from typing import Final
from pymavlink.dialects.v20 import ardupilotmega as mavlink
__all__ = [
"SOURCE_COMPONENT",
"SOURCE_SYSTEM",
"synthesize_tlog",
]
SOURCE_SYSTEM: Final[int] = 1 # vehicle id (any non-zero stable integer)
SOURCE_COMPONENT: Final[int] = mavlink.MAV_COMP_ID_AUTOPILOT1
_HEARTBEAT_PERIOD_S: Final[float] = 1.0
# tlog timestamp epoch — pymavlink stores absolute microseconds. The
# Derkachi CSV's ``timestamp(ms)`` field is a flight-controller boot
# clock, not Unix epoch. We anchor the synthetic tlog at a fixed
# Unix-epoch base so the timestamps are monotonically increasing and
# greater than the MAVLink2-required minimum (2015 cutoff). The
# absolute value is irrelevant for replay-mode determinism; only the
# delta-between-rows matters.
_TLOG_BASE_TIMESTAMP_US: Final[int] = 1_700_000_000_000_000 # 2023-11-14 22:13:20 UTC
def synthesize_tlog(csv_path: Path, tlog_path: Path) -> int:
"""Write a tlog reproduced from ``csv_path`` to ``tlog_path``.
Returns the number of bytes written. Overwrites ``tlog_path``
atomically (write to ``<path>.tmp``, fsync, rename).
The output schema satisfies ``TlogReplayFcAdapter``'s pre-scan
requirements per ``c8_fc_adapter/tlog_replay_adapter.py``:
``RAW_IMU`` or ``SCALED_IMU2`` + ``ATTITUDE`` + ``GPS_RAW_INT`` or
``GPS2_RAW`` + ``HEARTBEAT``.
"""
tmp_path = tlog_path.with_suffix(tlog_path.suffix + ".tmp")
mav = mavlink.MAVLink(
file=None,
srcSystem=SOURCE_SYSTEM,
srcComponent=SOURCE_COMPONENT,
)
bytes_written = 0
next_heartbeat_t_s = 0.0
with csv_path.open(newline="") as fp, tmp_path.open("wb") as out:
reader = csv.DictReader(fp)
for row in reader:
t_s = float(row["Time"])
ts_us = _TLOG_BASE_TIMESTAMP_US + int(t_s * 1_000_000)
time_boot_ms = int(float(row["timestamp(ms)"]))
# SCALED_IMU2 ----------------------------------------------------
imu2 = mav.scaled_imu2_encode(
time_boot_ms=time_boot_ms,
xacc=int(float(row["SCALED_IMU2.xacc"])),
yacc=int(float(row["SCALED_IMU2.yacc"])),
zacc=int(float(row["SCALED_IMU2.zacc"])),
xgyro=int(float(row["SCALED_IMU2.xgyro"])),
ygyro=int(float(row["SCALED_IMU2.ygyro"])),
zgyro=int(float(row["SCALED_IMU2.zgyro"])),
xmag=int(float(row["SCALED_IMU2.xmag"])),
ymag=int(float(row["SCALED_IMU2.ymag"])),
zmag=int(float(row["SCALED_IMU2.zmag"])),
)
bytes_written += _write_record(out, ts_us, imu2.pack(mav))
# ATTITUDE -------------------------------------------------------
yaw_cdeg = float(row["GLOBAL_POSITION_INT.hdg"])
yaw_rad = math.radians(yaw_cdeg / 100.0) if yaw_cdeg > 0 else 0.0
attitude = mav.attitude_encode(
time_boot_ms=time_boot_ms,
roll=0.0,
pitch=0.0,
yaw=yaw_rad,
rollspeed=0.0,
pitchspeed=0.0,
yawspeed=0.0,
)
bytes_written += _write_record(out, ts_us, attitude.pack(mav))
# GPS_RAW_INT ----------------------------------------------------
gps = mav.gps_raw_int_encode(
time_usec=ts_us,
fix_type=mavlink.GPS_FIX_TYPE_3D_FIX,
lat=int(float(row["GLOBAL_POSITION_INT.lat"])),
lon=int(float(row["GLOBAL_POSITION_INT.lon"])),
alt=int(float(row["GLOBAL_POSITION_INT.alt"])),
eph=100,
epv=200,
vel=int(
math.hypot(
float(row["GLOBAL_POSITION_INT.vx"]),
float(row["GLOBAL_POSITION_INT.vy"]),
)
),
cog=int(yaw_cdeg) if yaw_cdeg > 0 else 0,
satellites_visible=12,
)
bytes_written += _write_record(out, ts_us, gps.pack(mav))
# HEARTBEAT (1 Hz) -----------------------------------------------
if t_s >= next_heartbeat_t_s:
heartbeat = mav.heartbeat_encode(
type=mavlink.MAV_TYPE_FIXED_WING,
autopilot=mavlink.MAV_AUTOPILOT_ARDUPILOTMEGA,
base_mode=mavlink.MAV_MODE_FLAG_AUTO_ENABLED,
custom_mode=10, # AUTO mode for ArduPlane
system_status=mavlink.MAV_STATE_ACTIVE,
)
bytes_written += _write_record(out, ts_us, heartbeat.pack(mav))
next_heartbeat_t_s = t_s + _HEARTBEAT_PERIOD_S
out.flush()
# fsync the temp file so the rename below is durable on power loss.
# OSError here is rare; we want it to surface, not be swallowed.
import os as _os
_os.fsync(out.fileno())
tmp_path.replace(tlog_path)
return bytes_written
def _write_record(out, ts_us: int, payload: bytes) -> int:
"""Write one tlog record (8B big-endian timestamp + MAVLink frame)."""
header = struct.pack(">Q", ts_us)
out.write(header)
out.write(payload)
return len(header) + len(payload)
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"""Pytest fixtures for the AZ-404 E2E replay tests.
The fixtures are import-clean on dev macOS — the heavy work
(synthesizing the tlog, invoking the airborne CLI in a subprocess)
runs only when ``RUN_REPLAY_E2E=1`` is set in the environment.
Without the env var, the test module's collection-time skip marker
prevents the fixtures from being requested.
"""
from __future__ import annotations
import json
import os
import shutil
import subprocess
import sys
from collections.abc import Iterator
from dataclasses import dataclass
from pathlib import Path
from typing import Any
import pytest
from tests.e2e.replay._helpers import GroundTruthRow, load_ground_truth_csv
from tests.e2e.replay._tlog_synth import synthesize_tlog
# Derkachi clip range — anchored at the start of the data_imu.csv
# (Time=0.0). The fixture clip is deliberately the first 60 s rather
# than a mid-flight slice: the take-off region exercises the AZ-405
# IMU-take-off auto-sync detector, and the steady cruise that follows
# stresses the satellite-anchor + VIO drift-correction path. The
# trim is documented in `tests/e2e/replay/README.md`.
_CLIP_START_S: float = 0.0
_CLIP_END_S: float = 60.0
# ----------------------------------------------------------------------
# Path helpers
def _repo_root() -> Path:
return Path(__file__).resolve().parents[3]
def _derkachi_dir() -> Path:
return _repo_root() / "_docs" / "00_problem" / "input_data" / "flight_derkachi"
def _calibration_path() -> Path:
# Placeholder calibration: the real Topotek KHP20S30 intrinsics
# are unknown per `_docs/00_problem/input_data/flight_derkachi/
# camera_info.md`. AC-3 is `xfail`ed until a real calibration
# ships; AC-1 / AC-2 / AC-5 / AC-6 do not depend on intrinsics
# accuracy.
return _repo_root() / "tests" / "fixtures" / "calibration" / "adti26.json"
# ----------------------------------------------------------------------
# Fixtures
@dataclass(frozen=True)
class DerkachiReplayInputs:
"""Bundle of paths the AZ-402 CLI consumes for a Derkachi replay run."""
video_path: Path
tlog_path: Path
calibration_path: Path
config_path: Path
signing_key_path: Path
output_path: Path
ground_truth: list[GroundTruthRow]
@pytest.fixture(scope="session")
def derkachi_replay_inputs(tmp_path_factory: pytest.TempPathFactory) -> DerkachiReplayInputs:
"""Materialise Derkachi inputs + a synthesized tlog for the e2e run.
Session-scoped so the tlog synthesizer runs once across the whole
e2e collection. The tlog is cached at
``tmp_path_factory.mktemp("derkachi") / "synth.tlog"`` so each
pytest invocation gets a fresh copy; the synthesizer is fast
enough (~1 s for 60 s of data) that disk caching across invocations
is unnecessary.
"""
derkachi = _derkachi_dir()
csv_path = derkachi / "data_imu.csv"
video_path = derkachi / "flight_derkachi.mp4"
if not csv_path.is_file():
pytest.fail(
f"Derkachi fixture missing: {csv_path} — see "
"_docs/00_problem/input_data/flight_derkachi/README.md"
)
if not video_path.is_file():
pytest.fail(f"Derkachi fixture missing: {video_path}")
work_dir = tmp_path_factory.mktemp("derkachi")
tlog_path = work_dir / "synth.tlog"
synthesize_tlog(csv_path, tlog_path)
# Empty signing key — the airborne replay path runs the signing
# handshake against `NoopMavlinkTransport`, so the key contents do
# not affect any wire output. We still need a real file because
# the CLI's path-validation gate requires it.
signing_key_path = work_dir / "signing_key.bin"
signing_key_path.write_bytes(b"\x00" * 32)
config_path = work_dir / "config.yaml"
config_path.write_text(
# Replay-specific overrides; the rest comes from the env vars
# the airborne binary's `load_config` honours by default.
"mode: replay\n"
"replay:\n"
" pace: asap\n"
" target_fc_dialect: ardupilot_plane\n"
)
output_path = work_dir / "estimator_output.jsonl"
ground_truth_full = load_ground_truth_csv(csv_path)
ground_truth = [
r for r in ground_truth_full if _CLIP_START_S <= r.t_s <= _CLIP_END_S
]
return DerkachiReplayInputs(
video_path=video_path,
tlog_path=tlog_path,
calibration_path=_calibration_path(),
config_path=config_path,
signing_key_path=signing_key_path,
output_path=output_path,
ground_truth=ground_truth,
)
@dataclass(frozen=True)
class ReplayRunResult:
"""Outcome of a single ``gps-denied-replay`` subprocess run."""
returncode: int
stdout: str
stderr: str
output_path: Path
wall_clock_s: float
@pytest.fixture
def replay_runner(derkachi_replay_inputs: DerkachiReplayInputs) -> Any:
"""Return a callable that invokes the ``gps-denied-replay`` console-script.
The callable accepts keyword overrides for ``pace`` and
``time_offset_ms``; everything else is taken from
``derkachi_replay_inputs``. Output is written to a fresh path per
invocation so determinism comparisons (AC-5) get two independent
files.
"""
binary = shutil.which("gps-denied-replay")
if binary is None:
venv_bin = Path(sys.executable).parent / "gps-denied-replay"
if venv_bin.exists():
binary = str(venv_bin)
if binary is None:
pytest.skip(
"gps-denied-replay console-script not on PATH; "
"install the package in the test venv"
)
invocation_count = {"n": 0}
def _run(*, pace: str = "asap", time_offset_ms: int | None = None) -> ReplayRunResult:
import time
invocation_count["n"] += 1
out_path = derkachi_replay_inputs.output_path.with_name(
f"estimator_output_{invocation_count['n']}.jsonl"
)
argv = [
binary,
"--video",
str(derkachi_replay_inputs.video_path),
"--tlog",
str(derkachi_replay_inputs.tlog_path),
"--output",
str(out_path),
"--camera-calibration",
str(derkachi_replay_inputs.calibration_path),
"--config",
str(derkachi_replay_inputs.config_path),
"--mavlink-signing-key",
str(derkachi_replay_inputs.signing_key_path),
"--pace",
pace,
]
if time_offset_ms is not None:
argv.extend(["--time-offset-ms", str(time_offset_ms)])
t0 = time.monotonic()
completed = subprocess.run(
argv,
capture_output=True,
text=True,
timeout=180,
)
wall_s = time.monotonic() - t0
return ReplayRunResult(
returncode=completed.returncode,
stdout=completed.stdout,
stderr=completed.stderr,
output_path=out_path,
wall_clock_s=wall_s,
)
return _run
@pytest.fixture
def operator_pre_flight_setup(tmp_path: Path) -> Iterator[Path]:
"""Operator C12 pre-flight rehearsal stub.
Per AZ-404's spec this fixture should run the operator's full
C10/C11/C12 pre-flight against a ``mock-suite-sat-service``
fixture and yield the populated cache directory. The current
``tests/fixtures/mock-suite-sat-service`` is a bootstrap stub
(only ``GET /healthz`` per its README) — the full D-PROJ-2
contract is not implemented. Until that ships, AC-8 (operator
workflow rehearsal) is skipped at the test level; this fixture
yields a placeholder cache directory so test bodies that
request it can fail-fast with a documented reason rather than a
surprise ImportError.
"""
cache_dir = tmp_path / "operator_cache"
cache_dir.mkdir()
yield cache_dir
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"""AZ-404 — E2E replay test against the Derkachi 60 s clip.
Runs the ``gps-denied-replay`` console-script (AZ-402) against the
Derkachi fixture (``_docs/00_problem/input_data/flight_derkachi/``)
and asserts the epic AZ-265 acceptance criteria. Per the project's
E2E pattern the heavy tests are gated by ``RUN_REPLAY_E2E=1``; the
lightweight AC-4a (mode-agnosticism AST scan) and AC-7 (skip-gate
self-check) run unconditionally.
Some ACs are SKIPPED with documented reasons until upstream work
ships:
* AC-3 (≤ 100 m for 80 % of ticks) — ``xfail`` until a real Topotek
KHP20S30 calibration ships (camera_info.md notes the intrinsics
are unknown).
* AC-4b (encoder byte-equality) — ``skip`` until AZ-558 routes the
C8 outbound bytes through the ``MavlinkTransport`` seam.
* AC-8 / AC-9 in spec (operator workflow rehearsal) — ``skip`` until
``mock-suite-sat-service`` implements the D-PROJ-2 ingest contract.
The unit-level ``_helpers.py`` tests in ``test_helpers.py`` cover
AC-9 (helper L2 correctness) unconditionally.
"""
from __future__ import annotations
import ast
import os
import re
from pathlib import Path
import pytest
from tests.e2e.replay._helpers import (
match_percentage,
parse_jsonl,
)
# ----------------------------------------------------------------------
# Skip gates
def _heavy_skip_reason() -> str | None:
if os.environ.get("RUN_REPLAY_E2E", "").lower() not in {"1", "true", "yes", "on"}:
return "AZ-404 heavy e2e tests gated by RUN_REPLAY_E2E=1"
return None
_HEAVY_SKIP = pytest.mark.skipif(
_heavy_skip_reason() is not None, reason=_heavy_skip_reason() or "ok"
)
# ----------------------------------------------------------------------
# AC-1: CLI exits 0; JSONL line count matches tlog GLOBAL_POSITION_INT count
@_HEAVY_SKIP
def test_ac1_exits_0_jsonl_count_match(replay_runner, derkachi_replay_inputs) -> None:
# Act
result = replay_runner(pace="asap")
# Assert — clean exit
assert result.returncode == 0, (
f"gps-denied-replay exited {result.returncode}\n"
f"stdout:\n{result.stdout}\nstderr:\n{result.stderr}"
)
# Assert — JSONL line count within ±5 % of the ground-truth row count
rows = parse_jsonl(result.output_path)
expected = len(derkachi_replay_inputs.ground_truth)
actual = len(rows)
tolerance = max(1, int(expected * 0.05))
assert abs(actual - expected) <= tolerance, (
f"JSONL count {actual} not within ±5 % of expected "
f"{expected} (tolerance ±{tolerance})"
)
# ----------------------------------------------------------------------
# AC-2: Each line is valid JSON matching the EstimatorOutput schema
_ESTIMATOR_OUTPUT_KEYS = frozenset(
{
"frame_id",
"position_wgs84",
"orientation_world_T_body",
"velocity_world_mps",
"covariance_6x6",
"source_label",
"last_satellite_anchor_age_ms",
"smoothed",
"emitted_at",
}
)
@_HEAVY_SKIP
def test_ac2_jsonl_schema_match(replay_runner) -> None:
# Act
result = replay_runner(pace="asap")
rows = parse_jsonl(result.output_path)
# Assert
assert rows, "no JSONL output rows produced"
for i, row in enumerate(rows):
assert isinstance(row, dict), f"row {i} is not a JSON object"
missing = _ESTIMATOR_OUTPUT_KEYS - set(row.keys())
extra = set(row.keys()) - _ESTIMATOR_OUTPUT_KEYS
assert not missing, f"row {i} missing keys: {missing}"
assert not extra, f"row {i} has unexpected keys: {extra}"
assert isinstance(row["position_wgs84"], dict)
assert {"lat_deg", "lon_deg", "alt_m"}.issubset(row["position_wgs84"])
assert isinstance(row["covariance_6x6"], list) and len(row["covariance_6x6"]) == 36
assert isinstance(row["smoothed"], bool)
# ----------------------------------------------------------------------
# AC-3: ≥ 80 % of emissions within 100 m of ground truth
@_HEAVY_SKIP
@pytest.mark.xfail(
reason=(
"AC-3 requires a real Topotek KHP20S30 camera calibration; "
"_docs/00_problem/input_data/flight_derkachi/camera_info.md "
"states the intrinsics are unknown. Test runs as xfail "
"until a real calibration JSON ships."
),
strict=False,
)
def test_ac3_within_100m_80pct_of_ticks(replay_runner, derkachi_replay_inputs) -> None:
# Act
result = replay_runner(pace="asap")
rows = parse_jsonl(result.output_path)
# Assert
pct = match_percentage(
rows,
derkachi_replay_inputs.ground_truth,
threshold_m=100.0,
)
assert pct >= 0.80, (
f"AC-3: only {pct * 100:.1f} % of emissions within 100 m of GT; "
f"epic threshold is 80 %"
)
# ----------------------------------------------------------------------
# AC-4a: Mode-agnosticism AST scan (runs unconditionally)
def test_ac4_mode_agnosticism_ast_scan() -> None:
"""Components MUST NOT branch on `config.mode` / `is_replay` / etc.
Per ADR-011 + replay protocol Invariant 1, replay-mode logic is
structurally confined to the composition root (``runtime_root``),
the replay strategies (``frame_source``, ``clock``,
``c8_fc_adapter/{tlog_replay_adapter,replay_sink,
noop_mavlink_transport,serial_mavlink_transport}``), the
``replay_input/`` coordinator, and the ``cli/replay.py`` CLI. No
``components/**/*.py`` file should test the mode at runtime.
"""
# Arrange
repo_root = Path(__file__).resolve().parents[3]
components_dir = repo_root / "src" / "gps_denied_onboard" / "components"
py_files = sorted(components_dir.rglob("*.py"))
assert py_files, "no component .py files found — repository layout drift?"
# Patterns we treat as mode-aware branches.
forbidden_attribute_chains = {
("config", "mode"),
("self", "_replay_mode"),
("self", "_mode"),
("self", "is_replay"),
}
forbidden_compare_strings = {"replay", "live"}
violations: list[str] = []
for path in py_files:
try:
tree = ast.parse(path.read_text(encoding="utf-8"))
except SyntaxError as exc:
pytest.fail(f"{path} is not valid Python: {exc!r}")
scanner = _ModeBranchScanner(
forbidden_attribute_chains, forbidden_compare_strings
)
scanner.visit(tree)
for lineno, snippet in scanner.violations:
violations.append(f"{path.relative_to(repo_root)}:{lineno}: {snippet}")
# Assert
assert not violations, (
"mode-agnosticism violation — components must not branch on "
"replay vs live state (move the branch to runtime_root or a "
"replay strategy):\n " + "\n ".join(violations)
)
class _ModeBranchScanner(ast.NodeVisitor):
"""AST visitor that flags `if config.mode == ...` / `is_replay` / etc."""
def __init__(
self,
forbidden_attribute_chains: set[tuple[str, str]],
forbidden_compare_strings: set[str],
) -> None:
self.forbidden_attrs = forbidden_attribute_chains
self.forbidden_strings = forbidden_compare_strings
self.violations: list[tuple[int, str]] = []
def visit_If(self, node: ast.If) -> None:
self._check_test(node.test)
self.generic_visit(node)
def visit_IfExp(self, node: ast.IfExp) -> None:
self._check_test(node.test)
self.generic_visit(node)
def _check_test(self, node: ast.expr) -> None:
# Catch `if self._replay_mode:` / `if config.mode:`
if isinstance(node, ast.Attribute):
chain = self._attribute_chain(node)
if chain in self.forbidden_attrs:
self.violations.append(
(node.lineno, f"truthiness of {'.'.join(chain)}")
)
# Catch `if config.mode == "replay":` / `if mode != "live":`
if isinstance(node, ast.Compare) and isinstance(node.left, ast.Attribute):
chain = self._attribute_chain(node.left)
if chain in self.forbidden_attrs:
for cmp_value in node.comparators:
if (
isinstance(cmp_value, ast.Constant)
and isinstance(cmp_value.value, str)
and cmp_value.value in self.forbidden_strings
):
self.violations.append(
(
node.lineno,
f"compare {'.'.join(chain)} == {cmp_value.value!r}",
)
)
# Catch nested boolean / unary wrappers.
if isinstance(node, ast.BoolOp):
for value in node.values:
self._check_test(value)
if isinstance(node, ast.UnaryOp):
self._check_test(node.operand)
@staticmethod
def _attribute_chain(node: ast.Attribute) -> tuple[str, ...]:
"""Return ('self', 'mode') for `self.mode`, etc.; () if non-trivial."""
parts: list[str] = []
cur: ast.expr = node
while isinstance(cur, ast.Attribute):
parts.append(cur.attr)
cur = cur.value
if isinstance(cur, ast.Name):
parts.append(cur.id)
else:
return ()
return tuple(reversed(parts))
# ----------------------------------------------------------------------
# AC-4b: Encoder byte-equality (BLOCKED on AZ-558)
@pytest.mark.skip(
reason=(
"AC-4b blocked on AZ-558: C8 encoders still bypass the "
"MavlinkTransport seam by calling mav.*_send directly. The "
"CapturingMavlinkTransport fixture in _helpers.py is ready; "
"this test unskips when AZ-558 lands."
)
)
def test_ac4_encoder_byte_equality() -> None:
raise NotImplementedError("blocked on AZ-558 — see skip reason")
# ----------------------------------------------------------------------
# AC-5: Determinism (two runs differ by ≤ 1e-6 in position fields)
@_HEAVY_SKIP
def test_ac5_determinism_two_runs_diff(replay_runner) -> None:
# Act
r1 = replay_runner(pace="asap")
r2 = replay_runner(pace="asap")
# Assert
assert r1.returncode == 0 and r2.returncode == 0
rows_1 = parse_jsonl(r1.output_path)
rows_2 = parse_jsonl(r2.output_path)
assert len(rows_1) == len(rows_2), (
f"determinism violated at line count: {len(rows_1)} vs {len(rows_2)}"
)
for i, (a, b) in enumerate(zip(rows_1, rows_2, strict=True)):
for axis in ("lat_deg", "lon_deg", "alt_m"):
diff = abs(
a["position_wgs84"][axis] - b["position_wgs84"][axis]
)
assert diff <= 1e-6, (
f"row {i} axis {axis}: |{a['position_wgs84'][axis]} - "
f"{b['position_wgs84'][axis]}| = {diff} > 1e-6"
)
# ----------------------------------------------------------------------
# AC-6: Pace timing
@_HEAVY_SKIP
def test_ac6_pace_realtime_60s_within_5pct(replay_runner) -> None:
# Act
result = replay_runner(pace="realtime")
# Assert
assert result.returncode == 0
# 60 s clip ± 3 s tolerance per the spec.
assert 57.0 <= result.wall_clock_s <= 63.0, (
f"--pace realtime expected 60 s ± 3 s; got {result.wall_clock_s:.2f} s"
)
@_HEAVY_SKIP
def test_ac6_pace_asap_under_30s(replay_runner) -> None:
# Act
result = replay_runner(pace="asap")
# Assert
assert result.returncode == 0
assert result.wall_clock_s <= 30.0, (
f"--pace asap expected ≤ 30 s on Tier-1; got {result.wall_clock_s:.2f} s"
)
# ----------------------------------------------------------------------
# AC-7: Skip-gate self-check
def test_ac7_skip_gate_consistent_with_env_var() -> None:
"""The heavy-test skip mark MUST mirror the documented env-var gate.
Verifies that ``RUN_REPLAY_E2E`` controls the skip mark, so the
epic AC-7 contract ("all e2e tests skip cleanly without the env
var, without errors") is observably true at collection time.
"""
# Arrange
env_set = os.environ.get("RUN_REPLAY_E2E", "").lower() in {
"1", "true", "yes", "on"
}
# Act
skip_active = _heavy_skip_reason() is not None
# Assert
assert skip_active != env_set, (
f"RUN_REPLAY_E2E env_set={env_set}; skip_active={skip_active}"
)
# ----------------------------------------------------------------------
# Operator workflow rehearsal (AC-8 in this file's matrix; spec calls it AC-9)
@pytest.mark.skip(
reason=(
"AC-8 (operator workflow rehearsal) blocked on the full "
"D-PROJ-2 mock-suite-sat-service implementation — current "
"tests/fixtures/mock-suite-sat-service/ is a bootstrap stub "
"with only GET /healthz. Unskips when the mock implements "
"tile-fetch + index-build endpoints."
)
)
def test_ac8_operator_workflow(operator_pre_flight_setup, replay_runner) -> None:
raise NotImplementedError(
"blocked on D-PROJ-2 mock-suite-sat-service implementation"
)
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"""Unit-level tests for the AZ-404 e2e helpers.
Runs unconditionally in the regular regression suite (NOT gated by
``RUN_REPLAY_E2E``) — the helpers are pure / deterministic and test
themselves cheaply. Covers AC-9 (Helper L2 computation correct) and
ancillary helper invariants.
"""
from __future__ import annotations
from pathlib import Path
import pytest
from tests.e2e.replay._helpers import (
CapturingMavlinkTransport,
GroundTruthRow,
l2_horizontal_m,
match_percentage,
parse_jsonl,
)
# ----------------------------------------------------------------------
# AC-9: L2 helper correctness
def test_ac9_l2_zero_at_same_point() -> None:
# Arrange / Act
d = l2_horizontal_m(50.08, 36.11, 50.08, 36.11)
# Assert
assert d == pytest.approx(0.0, abs=1e-6)
def test_ac9_l2_north_one_degree_111km() -> None:
"""One degree of latitude ≈ 111 km on the WGS84 spherical model."""
# Act
d = l2_horizontal_m(50.08, 36.11, 51.08, 36.11)
# Assert
assert d == pytest.approx(111_195.0, rel=0.001)
def test_ac9_l2_known_pair_kharkiv_kyiv() -> None:
"""Hand-checked Derkachi (~Kharkiv) to Kyiv center: 411 km ± 1 km."""
# Arrange
kharkiv_lat, kharkiv_lon = 49.9935, 36.2304
kyiv_lat, kyiv_lon = 50.4501, 30.5234
# Act
d = l2_horizontal_m(kharkiv_lat, kharkiv_lon, kyiv_lat, kyiv_lon)
# Assert — externally known reference distance is 411 km.
assert d == pytest.approx(411_000.0, rel=0.005)
def test_ac9_l2_symmetric() -> None:
# Arrange
a = (49.991, 36.221)
b = (50.080, 36.111)
# Act
d_ab = l2_horizontal_m(*a, *b)
d_ba = l2_horizontal_m(*b, *a)
# Assert
assert d_ab == pytest.approx(d_ba, rel=1e-12)
# ----------------------------------------------------------------------
# match_percentage
def test_match_percentage_all_within_threshold() -> None:
# Arrange
gt = [GroundTruthRow(t_s=0.0, lat_deg=50.0, lon_deg=36.0, alt_m=100.0)]
emissions = [
{
"emitted_at": 0,
"position_wgs84": {"lat_deg": 50.0, "lon_deg": 36.0, "alt_m": 100.0},
}
]
# Act
pct = match_percentage(emissions, gt, threshold_m=100.0)
# Assert
assert pct == 1.0
def test_match_percentage_none_within_threshold() -> None:
# Arrange
gt = [GroundTruthRow(t_s=0.0, lat_deg=50.0, lon_deg=36.0, alt_m=100.0)]
emissions = [
{
"emitted_at": 0,
# ~111 km north of the GT row.
"position_wgs84": {"lat_deg": 51.0, "lon_deg": 36.0, "alt_m": 100.0},
}
]
# Act
pct = match_percentage(emissions, gt, threshold_m=100.0)
# Assert
assert pct == 0.0
def test_match_percentage_empty_emissions_zero() -> None:
# Arrange
gt = [GroundTruthRow(t_s=0.0, lat_deg=50.0, lon_deg=36.0, alt_m=100.0)]
# Act
pct = match_percentage([], gt, threshold_m=100.0)
# Assert
assert pct == 0.0
def test_match_percentage_empty_ground_truth_raises() -> None:
# Act / Assert
with pytest.raises(AssertionError, match="ground_truth must be non-empty"):
match_percentage(
[{"emitted_at": 0, "position_wgs84": {"lat_deg": 50, "lon_deg": 36}}],
[],
threshold_m=100.0,
)
# ----------------------------------------------------------------------
# parse_jsonl
def test_parse_jsonl_round_trip(tmp_path: Path) -> None:
# Arrange
path = tmp_path / "out.jsonl"
path.write_text('{"a": 1}\n{"b": 2}\n')
# Act
rows = parse_jsonl(path)
# Assert
assert rows == [{"a": 1}, {"b": 2}]
def test_parse_jsonl_skips_trailing_blank(tmp_path: Path) -> None:
# Arrange
path = tmp_path / "out.jsonl"
path.write_text('{"a": 1}\n\n')
# Act
rows = parse_jsonl(path)
# Assert — the trailing blank line is tolerated
assert rows == [{"a": 1}]
def test_parse_jsonl_invalid_line_raises(tmp_path: Path) -> None:
# Arrange
path = tmp_path / "out.jsonl"
path.write_text("not json\n")
# Act / Assert
with pytest.raises(AssertionError, match="not valid JSON"):
parse_jsonl(path)
# ----------------------------------------------------------------------
# CapturingMavlinkTransport (ready for AZ-558 unblock)
def test_capturing_transport_records_writes() -> None:
# Arrange
t = CapturingMavlinkTransport()
# Act
t.write(b"abc")
t.write(b"def")
# Assert
assert t.captured_payloads == (b"abc", b"def")
assert t.captured_concat == b"abcdef"
assert t.bytes_written() == 6
def test_capturing_transport_close_then_write_raises() -> None:
# Arrange
t = CapturingMavlinkTransport()
t.close()
# Act / Assert
with pytest.raises(RuntimeError, match="after close"):
t.write(b"x")
def test_capturing_transport_implements_protocol() -> None:
# Arrange
from gps_denied_onboard.components.c8_fc_adapter.interface import MavlinkTransport
# Act
t = CapturingMavlinkTransport()
# Assert — runtime_checkable Protocol acceptance
assert isinstance(t, MavlinkTransport)