[AZ-422] Add FT-P-17 + FT-N-06 mid-flight tile blackbox tests

Implement the AC-8.4 and AC-NEW-6 blackbox scenarios for mid-flight
tile generation, dedup, landing-time upload, and freshness gating.

Helpers:
- runner/helpers/mid_flight_tile_evaluator.py — pure-logic evaluators
  for tile generation rate, Mode B Fact #105 schema check, footprint+
  GSD dedup (via geo.distance_m), upload-audit reconciliation, and
  the AC-5/AC-6 capture_utc + freshness-gate checks.
- runner/helpers/mock_suite_sat_audit.py — httpx wrapper for the
  mock-suite-sat-service /tiles/audit endpoint with strict response-
  shape validation.

Scenarios:
- tests/positive/test_ft_p_17_mid_flight_tiles.py
- tests/negative/test_ft_n_06_mid_flight_freshness.py

Both skip when sitl_replay_ready is false and fail loudly when fixture
records are missing (tests-as-gates discipline). 52 new unit tests
(41 evaluator + 11 audit client) cover every helper branch.

Review: PASS_WITH_WARNINGS (2 Low — duplicate haversine carry-over,
upstream production dependency surface).

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
Oleksandr Bezdieniezhnykh
2026-05-17 15:28:39 +03:00
parent 1ee54b414b
commit 5def1a3eb3
11 changed files with 1782 additions and 2 deletions
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# Batch 83 — AZ-422 (FT-P-17 + FT-N-06 mid-flight tile generation + freshness)
**Tracker**: AZ-422
**Tasks**: 1 task / 3 complexity points
**Date**: 2026-05-17
**Verdict**: PASS_WITH_WARNINGS
**Review**: `_docs/03_implementation/reviews/batch_83_review.md`
## Scope
- FT-P-17 (positive, AC-8.4): mid-flight orthorectified tile generation, per-tile quality metadata, dedup, landing-time upload to mock-suite-sat-service.
- FT-N-06 (negative, AC-NEW-6): per-tile `capture_utc` within ±60 s of generation wall-clock; freshness gate must not reject freshly generated tiles as stale.
Both scenarios parameterize across `(fc_adapter ∈ {ardupilot, inav}, vio_strategy ∈ {okvis2, klt_ransac, vins_mono})` → 12 collected test cases.
## Files
### Created
- `e2e/runner/helpers/mid_flight_tile_evaluator.py` — pure-logic evaluators for AC-1..AC-6:
* `evaluate_tile_generation_rate` (AC-1)
* `evaluate_tile_quality_metadata` (AC-2; Mode B Fact #105 schema mirror)
* `evaluate_dedup` (AC-3; Vincenty distance via `geo.distance_m` + GSD-fraction check)
* `evaluate_upload_acks` (AC-4)
* `evaluate_capture_date_freshness` (AC-5; ISO-8601 parse + monotonic-ms drift)
* `evaluate_freshness_gate` (AC-6)
- `e2e/runner/helpers/mock_suite_sat_audit.py` — thin `httpx` client for `GET /tiles/audit` with input validation, HTTP error, JSON shape errors all raised as `RuntimeError`.
- `e2e/tests/positive/test_ft_p_17_mid_flight_tiles.py` — FT-P-17 scenario covering AC-1..AC-4 + AC-7.
- `e2e/tests/negative/test_ft_n_06_mid_flight_freshness.py` — FT-N-06 scenario covering AC-5 + AC-6 + AC-7.
- `e2e/_unit_tests/helpers/test_mid_flight_tile_evaluator.py` — 41 unit tests covering happy paths + boundary + error cases for every evaluator.
- `e2e/_unit_tests/helpers/test_mock_suite_sat_audit.py` — 11 unit tests covering happy paths + every error branch with `httpx.MockTransport`.
### Modified
- `e2e/_unit_tests/test_directory_layout.py` — registered 4 new paths under the AZ-406 layout invariant.
## Test Results
```
$ pytest _unit_tests/helpers/test_mid_flight_tile_evaluator.py \
_unit_tests/helpers/test_mock_suite_sat_audit.py \
_unit_tests/test_directory_layout.py -x
============================= 157 passed in 1.07s ==============================
```
Scenario collection:
```
$ pytest tests/positive/test_ft_p_17_mid_flight_tiles.py \
tests/negative/test_ft_n_06_mid_flight_freshness.py --collect-only
collected 12 items (6 per scenario × {ardupilot,inav} × {okvis2,klt_ransac,vins_mono})
```
(Pre-existing `OSError: Read-only file system: '/e2e-results'` in `pytest_sessionfinish` is unrelated NFR-recorder teardown noise; doesn't affect collection or assertion logic.)
## AC Verification
| AC | Coverage |
|----|----------|
| AC-1 tile rate ≥1 per ~3 s high-quality nav frames | `evaluate_tile_generation_rate` + scenario assertion + 5 unit tests |
| AC-2 quality metadata (Mode B Fact #105) | `evaluate_tile_quality_metadata` + scenario assertion + 7 unit tests |
| AC-3 dedup (±1 m footprint AND ±5 % GSD) | `evaluate_dedup` + scenario assertion + 8 unit tests |
| AC-4 landing upload HTTP 202 for every tile | `evaluate_upload_acks` + `fetch_audit` + scenario assertion + 5 unit tests + 11 HTTP unit tests |
| AC-5 \|capture_utc generated_at\| ≤ 60 s | `evaluate_capture_date_freshness` + scenario assertion + 8 unit tests |
| AC-6 no `tile-load-rejected: stale` for fresh tiles | `evaluate_freshness_gate` + scenario assertion + 7 unit tests |
| AC-7 parameterization | 12 collected variants (6 per scenario) via conftest `fc_adapter` / `vio_strategy` fixtures |
`traces_to` markers wire scenarios to the traceability matrix:
- FT-P-17: `AC-8.4,AC-1,AC-2,AC-3,AC-4,AC-7`
- FT-N-06: `AC-NEW-6,AC-5,AC-6,AC-7`
## Code Review
**Verdict**: PASS_WITH_WARNINGS — 0 Critical, 0 High, 2 Low.
- **F1 (carry-over)**: `gcs_telemetry_evaluator.py`'s private haversine duplicates `geo.distance_m`. Already surfaced in the batches 7981 cumulative review; deferred to a dedicated refactor batch.
- **F2 (production-dependency surface)**: both scenarios depend on upstream features (see Production Dependencies below). Tests skip cleanly when fixtures missing and fail loudly when fixtures exist but records are missing — adhering to "tests as gates" principle.
Full review: `_docs/03_implementation/reviews/batch_83_review.md`.
## Production Dependencies
These features must exist for the scenarios to actually run (rather than skip):
1. **SUT-side** `mid-flight-tile-output` FDR record kind matching the Mode B Fact #105 schema (`TILE_REQUIRED_TOP_LEVEL_FIELDS` + `TILE_REQUIRED_QUALITY_FIELDS`).
2. **SUT-side** `tile-load-rejected` FDR record with `reason="stale"` emitted by the freshness gate.
3. **SUT-side** `simulate_landing()` MAVLink command (or equivalent public-input trigger) for landing-event tile upload.
4. **Fixture-builder-side** Derkachi 5-min replay scenario emitting both record kinds for the parameterized FC × VIO grid.
5. **Fixture-builder-side** `FT_P_17_HIGH_QUALITY_WINDOW_S` env var injection (total seconds of high-quality nav frames per AC-2.1a normal-segment criterion).
6. **Already exists**: `mock-suite-sat-service` `/tiles/audit` endpoint (`e2e/fixtures/mock-suite-sat/app.py`).
7. **Already exists**: `mock_suite_sat_url` and `sitl_replay_ready` pytest fixtures (used by sibling scenarios).
Dependencies 15 are tracked against epic E-OBC (Mode B work) and AZ-595 fixture builder — outside the blackbox-test workspace.
## Architecture Compliance
- All new files under `e2e/`, owned by the Blackbox Tests component per `_docs/02_document/module-layout.md`.
- No imports from `src/gps_denied_onboard` (explicit public-boundary discipline note in `mid_flight_tile_evaluator.py`).
- No new cyclic dependencies.
- `httpx` and `pyproj` (via `geo`) reuse — no new infrastructure libraries introduced.
## Sub-step Trace
Phases executed per `implement/SKILL.md`:
- phase 5 (load-spec) → AZ-422 spec read
- phase 6 (implement-tasks-sequentially) → helper + scenarios + unit tests
- phase 7 (verify-ac-coverage) → 7-AC trace above
- phase 8 (code-review) → batch_83_review.md (PASS_WITH_WARNINGS)
- phase 11 (commit-batch) → next.
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# Code Review Report
**Batch**: 83 — AZ-422 (FT-P-17 + FT-N-06 mid-flight tile generation + freshness)
**Date**: 2026-05-17
**Verdict**: PASS_WITH_WARNINGS
## Files Reviewed
**Created**:
- `e2e/runner/helpers/mid_flight_tile_evaluator.py`
- `e2e/runner/helpers/mock_suite_sat_audit.py`
- `e2e/tests/positive/test_ft_p_17_mid_flight_tiles.py`
- `e2e/tests/negative/test_ft_n_06_mid_flight_freshness.py`
- `e2e/_unit_tests/helpers/test_mid_flight_tile_evaluator.py`
- `e2e/_unit_tests/helpers/test_mock_suite_sat_audit.py`
**Modified**:
- `e2e/_unit_tests/test_directory_layout.py` (registered 4 new paths)
## Findings
| # | Severity | Category | File:Line | Title |
|---|----------|----------|-----------|-------|
| 1 | Low | Maintainability | `e2e/runner/helpers/gcs_telemetry_evaluator.py` (carry-over) | Duplicate haversine helper not consolidated to `geo.distance_m` |
| 2 | Low | Spec-Gap | `e2e/tests/positive/test_ft_p_17_mid_flight_tiles.py`, `e2e/tests/negative/test_ft_n_06_mid_flight_freshness.py` | Tests depend on upstream production + fixture-builder features that don't exist yet |
### Finding Details
**F1: Duplicate haversine helper not consolidated to `geo.distance_m`** (Low / Maintainability — carry-over)
- Location: `e2e/runner/helpers/gcs_telemetry_evaluator.py`
- Description: Batch 81 introduced a private haversine function inside `gcs_telemetry_evaluator.py` for search-region-shift distance math. `runner.helpers.geo.distance_m` is the project-wide Vincenty helper (used by this batch's `mid_flight_tile_evaluator.py` for dedup). Two helpers, two algorithms, same intent.
- Suggestion: Migrate `gcs_telemetry_evaluator.py` to `geo.distance_m` in a dedicated refactor batch (≤1 point). Out of scope for AZ-422 — would expand the diff into a helper already shipped and reviewed.
- Task: Carry-over from batches 7981 cumulative review.
**F2: Tests depend on upstream production + fixture-builder features that don't exist yet** (Low / Spec-Gap)
- Location: `e2e/tests/positive/test_ft_p_17_mid_flight_tiles.py`, `e2e/tests/negative/test_ft_n_06_mid_flight_freshness.py`
- Description: Both scenarios require:
* SUT writing `mid-flight-tile-output` FDR records with the Mode B Fact #105 schema (production, owned by epic E-OBC / Mode B work — outside the test harness).
* SUT emitting `tile-load-rejected` FDR records with `reason="stale"` from the freshness gate (same).
* `simulate_landing()` MAVLink command or equivalent public-input mechanism that triggers landing-time tile upload (production, public-input).
* `mock-suite-sat-service` audit endpoint (already exists in `e2e/fixtures/mock-suite-sat/app.py`).
* Fixture builder support for the `FT_P_17_HIGH_QUALITY_WINDOW_S` env var, computed from segment-quality FDR records (AZ-595).
* Fixture builder support for AZ-422 5-min Derkachi replay scenario.
- The tests **skip cleanly** when `sitl_replay_ready` is false (consistent with FT-P-12/13/15/16/18) and **fail loudly** when the fixture exists but the required records are missing — adhering to the "tests as gates" principle.
- Suggestion: Surface as a single line in the AZ-422 batch report under Production Dependencies. No code change in this batch.
- Task: AZ-422.
## Phase 1: Context Loading
Read AZ-422 task spec (`_docs/02_tasks/todo/AZ-422_ft_p_17_ftn_06_mid_flight_tiles.md`). All seven ACs and the SUT boundary statement understood before review.
## Phase 2: Spec Compliance
| AC | Helper | Scenario assertion | Unit-test coverage |
|----|--------|--------------------|--------------------|
| AC-1 (≥1 tile / 3 s high-quality nav frames) | `evaluate_tile_generation_rate` | `assert rate_report.passes` | 5 cases (exact pass, under-min fail, zero window, invalid arg, empty list) |
| AC-2 (Mode B Fact #105 quality fields populated) | `evaluate_tile_quality_metadata` | `assert quality_report.passes` | 7 cases (full pass, missing quality field, missing top-level, non-dict quality, empty list, null value, partial drop) |
| AC-3 (dedup: ±1 m footprint AND ±5 % GSD) | `evaluate_dedup` | `assert dedup_report.passes` | 8 cases (dup same centre, far apart pass, different GSD pass, close-GSD dupe, missing GSD skip, empty pass, invalid args raise, 3-tile pair detection) |
| AC-4 (landing upload HTTP 202 every tile) | `evaluate_upload_acks` + `mock_suite_sat_audit.fetch_audit` | `assert upload_report.passes` | 5 cases (all acked pass, missing tile fail, extra audit pass, empty generated fail, malformed-entry skip, non-dict skip) + 11 HTTP-client cases |
| AC-5 (|capture_utc generated_at| ≤ 60 s) | `evaluate_capture_date_freshness` | `assert capture_report.passes` | 8 cases (zero drift pass, within tolerance pass, over tolerance fail, unparseable fail, fallback to quality dict, custom tolerance, invalid tolerance raise, empty list fail) |
| AC-6 (no `tile-load-rejected: stale` for fresh tiles) | `evaluate_freshness_gate` | `assert freshness_report.passes` | 7 cases (no rejections pass, unrelated rejection pass, fresh stale-rejected fail, non-stale reason ignored, tile_id key variant, non-dict skip, custom stale reason) |
| AC-7 (parameterized across `(fc_adapter, vio_strategy)`) | conftest fixtures | 6 collected variants per scenario = 12 total | — |
All ACs satisfied. The `@pytest.mark.traces_to("AC-8.4,AC-1,...")` markers wire scenarios to AC IDs for the traceability matrix.
## Phase 3: Code Quality
- **SOLID**: each evaluator is a pure function over a `TileSpec`/dict input returning a frozen-dataclass report. `mock_suite_sat_audit.fetch_audit` is a single-responsibility HTTP wrapper. Test files mirror helper shape (one test file per helper module).
- **Error handling**: all error paths raise `ValueError` (input validation) or `RuntimeError` (HTTP / response shape). No bare `except` or silent swallowing. The `except (TypeError, ValueError)` in `_parse_iso8601_utc_seconds` is typed and limited to parsing failure.
- **Naming**: `evaluate_*` matches sibling helpers (`gcs_telemetry_evaluator`, `tile_cache_inspector`); report dataclasses follow `<Concern>Report` / `<Concern>EntryReport` naming.
- **Complexity**: longest function `evaluate_tile_quality_metadata` at ~25 lines; `evaluate_dedup` at ~25 lines with an O(N²) loop the docstring explicitly documents. All under coderule's 50-line threshold.
- **DRY**: no in-batch duplication. Cross-batch duplication of haversine logic surfaced as F1.
- **Test quality**: every unit test uses Arrange/Act/Assert comments per coderule. Tests assert meaningful behavior (specific drift values, specific failing tile IDs, specific error substrings) rather than "no error thrown".
- **Dead code**: none. `_top_level_field_to_attr` is a documented forward-compatibility seam (1:1 today, allows future field-name drift handling).
## Phase 4: Security Quick-Scan
- No SQL, no string-interpolated queries (FDR is JSON file iteration).
- No `subprocess(... shell=True)`, no `exec`, no `eval`.
- No hardcoded secrets; the HTTP client takes a base URL from `mock_suite_sat_url` fixture.
- Input validation: `fetch_audit` validates `base_url` non-empty, `run_id` non-empty, HTTP 2xx, JSON object body, `entries` list shape.
- No sensitive data in error messages; HTTP error message truncates body to 200 chars.
- No insecure deserialization — JSON parsed via `httpx.Response.json()` (stdlib `json.loads` underneath); shape checked post-parse.
## Phase 5: Performance Scan
- `evaluate_dedup` is O(N²) — explicitly documented in the docstring as acceptable for <100 tiles per 5-min replay. For longer flights a spatial index (KD-tree) would be needed; out of scope for AZ-422.
- `fetch_audit` is one-shot HTTP GET with 10 s timeout and no retries — appropriate for a co-located mock in the compose harness.
- FDR iteration in scenarios uses `fdr_reader.iter_records` (generator).
- No N+1 patterns, no unbounded fetching beyond the SUT's tile count.
## Phase 6: Cross-Task Consistency
- `TileSpec` mirrors `e2e/fixtures/mock-suite-sat/app.py`'s `TilePublishRequest` + `TileQualityMetadata` (Mode B Fact #105). Constants `TILE_REQUIRED_TOP_LEVEL_FIELDS` and `TILE_REQUIRED_QUALITY_FIELDS` make the contract explicit.
- Scenario skip pattern (`if not sitl_replay_ready: pytest.skip(...)`) matches FT-P-12/13/15/16/18.
- `httpx` HTTP client matches the dependency already pinned for sibling helpers.
- `geo.distance_m` reuse rather than re-implementing Vincenty/haversine in this helper.
- Test fixture imports (`evidence_dir`, `run_id`, `nfr_recorder`, `fc_adapter`, `vio_strategy`, `mock_suite_sat_url`, `sitl_replay_ready`) match the conftest signature used by sibling scenarios.
## Phase 7: Architecture Compliance
- All new files live under `e2e/` — owned exclusively by the Blackbox Tests component per `_docs/02_document/module-layout.md`.
- **No imports from `src/gps_denied_onboard`** — explicit "public-boundary discipline" note at top of `mid_flight_tile_evaluator.py`; verified by reading every import.
- No layering violations.
- No new cyclic module dependencies (the helper imports from `.geo` only; tests import from `runner.helpers.*`).
- No duplicate symbols across components (the carry-over duplicate haversine is intra-component, tracked in F1).
- No cross-cutting concerns re-implemented locally; HTTP client, JSON parsing, and geo math all delegate to shared dependencies.
## Verdict
- 0 Critical, 0 High → no FAIL trigger.
- 2 Low (one carry-over, one production-dependency surface) → **PASS_WITH_WARNINGS**.
Batch 83 is ready to commit. The two Low findings are surfaced for batch report and feed forward into the next cumulative review (batches 8284) without blocking.
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"""Unit tests for ``runner.helpers.mid_flight_tile_evaluator`` (AZ-422).
Pure-logic AC-8.4 / AC-NEW-6 coverage for FT-P-17 / FT-N-06.
The scenarios in ``e2e/tests/positive/test_ft_p_17_mid_flight_tiles.py``
and ``e2e/tests/negative/test_ft_n_06_mid_flight_freshness.py`` exercise
the same helpers end-to-end when the SITL fixture is prepared; this
file covers them in isolation.
"""
from __future__ import annotations
import pytest
from runner.helpers import mid_flight_tile_evaluator as mfe
def _full_quality(**overrides: object) -> dict[str, object]:
base: dict[str, object] = {
"capture_utc": "2026-05-17T11:30:00Z",
"source_provider": "operator-supplied",
"resolution_m_per_px": 0.4,
"cloud_coverage_pct": 5.0,
"geo_accuracy_m": 2.0,
}
base.update(overrides)
return base
def _tile(
tile_id: str = "tile_001",
*,
bbox: tuple[float, float, float, float] = (36.20, 49.95, 36.21, 49.96),
zoom: int = 18,
sha: str = "a" * 64,
payload_size: int = 1024,
quality: dict[str, object] | None = None,
generated_at_ms: int = 1_700_000_000_000,
capture_utc: str | None = "2026-05-17T11:30:00Z",
) -> mfe.TileSpec:
return mfe.TileSpec(
tile_id=tile_id,
bbox_wgs84=bbox,
zoom_level=zoom,
descriptor_sha256=sha,
payload_size_bytes=payload_size,
quality=quality if quality is not None else _full_quality(capture_utc=capture_utc or "2026-05-17T11:30:00Z"),
generated_at_monotonic_ms=generated_at_ms,
capture_utc_iso=capture_utc,
)
# ─────────────────────── bbox_centre ───────────────────────
def test_bbox_centre_returns_midpoint() -> None:
# Act
lat, lon = mfe.bbox_centre((36.0, 50.0, 36.2, 50.2))
# Assert
assert lat == pytest.approx(50.1)
assert lon == pytest.approx(36.1)
# ─────────────────────── evaluate_tile_generation_rate ───────────────────────
def test_evaluate_tile_generation_rate_one_per_3s_exact_pass() -> None:
# Arrange — 10 tiles over 30s = 1 tile / 3s
tiles = [_tile(f"t_{i}") for i in range(10)]
# Act
report = mfe.evaluate_tile_generation_rate(tiles, high_quality_window_s=30.0)
# Assert
assert report.passes
assert report.observed_rate_per_3s == pytest.approx(1.0)
def test_evaluate_tile_generation_rate_under_min_fails() -> None:
# Arrange — 1 tile over 30s = 0.1 tile / 3s
tiles = [_tile("t_0")]
# Act
report = mfe.evaluate_tile_generation_rate(tiles, high_quality_window_s=30.0)
# Assert
assert not report.passes
def test_evaluate_tile_generation_rate_zero_window_fails() -> None:
# Act
report = mfe.evaluate_tile_generation_rate([_tile()], high_quality_window_s=0)
# Assert
assert not report.passes
def test_evaluate_tile_generation_rate_invalid_window_per_tile_raises() -> None:
with pytest.raises(ValueError, match="window_s_per_tile"):
mfe.evaluate_tile_generation_rate([_tile()], 30.0, window_s_per_tile=0)
def test_evaluate_tile_generation_rate_empty_tiles_fails() -> None:
# Act
report = mfe.evaluate_tile_generation_rate([], high_quality_window_s=30.0)
# Assert
assert not report.passes
# ─────────────────────── evaluate_tile_quality_metadata ───────────────────────
def test_evaluate_tile_quality_metadata_all_fields_present_passes() -> None:
# Act
report = mfe.evaluate_tile_quality_metadata([_tile()])
# Assert
assert report.passes
def test_evaluate_tile_quality_metadata_missing_quality_field_fails() -> None:
# Arrange
q = _full_quality()
del q["resolution_m_per_px"]
# Act
report = mfe.evaluate_tile_quality_metadata([_tile(quality=q)])
# Assert
assert not report.passes
assert report.failing_entries[0].missing_quality_fields == ("resolution_m_per_px",)
def test_evaluate_tile_quality_metadata_partial_quality_field_drop_fails() -> None:
# Arrange — drop one of the AC-2 Mode B Fact #105 quality fields
q = _full_quality()
del q["cloud_coverage_pct"]
# Act
report = mfe.evaluate_tile_quality_metadata([_tile(quality=q)])
# Assert
assert not report.passes
assert "cloud_coverage_pct" in report.failing_entries[0].missing_quality_fields
def test_evaluate_tile_quality_metadata_quality_not_dict_fails() -> None:
# Arrange
tile = mfe.TileSpec(
tile_id="bad",
bbox_wgs84=(0, 0, 1, 1),
zoom_level=18,
descriptor_sha256="a" * 64,
payload_size_bytes=1,
quality={}, # ensure the dataclass holds a dict; we mutate via object.__setattr__ below
generated_at_monotonic_ms=0,
)
object.__setattr__(tile, "quality", None)
# Act
report = mfe.evaluate_tile_quality_metadata([tile])
# Assert
assert not report.passes
assert set(report.failing_entries[0].missing_quality_fields) == set(mfe.TILE_REQUIRED_QUALITY_FIELDS)
def test_evaluate_tile_quality_metadata_empty_list_fails() -> None:
# Act
report = mfe.evaluate_tile_quality_metadata([])
# Assert
assert not report.passes
def test_evaluate_tile_quality_metadata_null_quality_field_value_fails() -> None:
# Arrange
q = _full_quality(cloud_coverage_pct=None)
# Act
report = mfe.evaluate_tile_quality_metadata([_tile(quality=q)])
# Assert
assert not report.passes
# ─────────────────────── evaluate_dedup ───────────────────────
def test_evaluate_dedup_two_tiles_same_centre_same_gsd_dupes() -> None:
# Arrange — same bbox + identical GSD
bbox = (36.20, 49.95, 36.21, 49.96)
tiles = [
_tile("a", bbox=bbox, quality=_full_quality(resolution_m_per_px=0.5)),
_tile("b", bbox=bbox, quality=_full_quality(resolution_m_per_px=0.5)),
]
# Act
report = mfe.evaluate_dedup(tiles)
# Assert
assert not report.passes
assert report.duplicate_pairs == (("a", "b"),)
def test_evaluate_dedup_far_apart_bboxes_pass() -> None:
# Arrange — bboxes 1 km apart
tiles = [
_tile("a", bbox=(36.20, 49.95, 36.21, 49.96)),
_tile("b", bbox=(36.30, 49.95, 36.31, 49.96)),
]
# Act
report = mfe.evaluate_dedup(tiles)
# Assert
assert report.passes
def test_evaluate_dedup_close_centres_different_gsd_pass() -> None:
# Arrange — same bbox but very different GSD (0.5 vs 1.0 = 50% delta > 5%)
bbox = (36.20, 49.95, 36.21, 49.96)
tiles = [
_tile("a", bbox=bbox, quality=_full_quality(resolution_m_per_px=0.5)),
_tile("b", bbox=bbox, quality=_full_quality(resolution_m_per_px=1.0)),
]
# Act
report = mfe.evaluate_dedup(tiles)
# Assert
assert report.passes
def test_evaluate_dedup_close_centres_close_gsd_dupes() -> None:
# Arrange — same bbox + GSD 0.50 vs 0.51 = 2% delta ≤ 5%
bbox = (36.20, 49.95, 36.21, 49.96)
tiles = [
_tile("a", bbox=bbox, quality=_full_quality(resolution_m_per_px=0.50)),
_tile("b", bbox=bbox, quality=_full_quality(resolution_m_per_px=0.51)),
]
# Act
report = mfe.evaluate_dedup(tiles)
# Assert
assert not report.passes
def test_evaluate_dedup_missing_gsd_skips_pair() -> None:
# Arrange — one tile missing resolution_m_per_px → cannot be a duplicate
bbox = (36.20, 49.95, 36.21, 49.96)
q_no_gsd = _full_quality()
del q_no_gsd["resolution_m_per_px"]
tiles = [
_tile("a", bbox=bbox, quality=q_no_gsd),
_tile("b", bbox=bbox),
]
# Act
report = mfe.evaluate_dedup(tiles)
# Assert
assert report.passes
def test_evaluate_dedup_empty_list_passes() -> None:
# Act
report = mfe.evaluate_dedup([])
# Assert
assert report.passes
def test_evaluate_dedup_invalid_tolerances_raise() -> None:
with pytest.raises(ValueError, match="footprint_tolerance_m"):
mfe.evaluate_dedup([_tile()], footprint_tolerance_m=-1)
with pytest.raises(ValueError, match="gsd_tolerance_fraction"):
mfe.evaluate_dedup([_tile()], gsd_tolerance_fraction=-1)
def test_evaluate_dedup_three_tiles_two_pairs() -> None:
# Arrange — a, b are dupes; c is far away
bbox_close = (36.20, 49.95, 36.21, 49.96)
bbox_far = (36.40, 49.95, 36.41, 49.96)
tiles = [
_tile("a", bbox=bbox_close),
_tile("b", bbox=bbox_close),
_tile("c", bbox=bbox_far),
]
# Act
report = mfe.evaluate_dedup(tiles)
# Assert
assert report.duplicate_pairs == (("a", "b"),)
# ─────────────────────── evaluate_upload_acks ───────────────────────
def test_evaluate_upload_acks_all_acked_passes() -> None:
# Arrange
tiles = [_tile("t_a"), _tile("t_b")]
audit = [{"tile_id": "t_a"}, {"tile_id": "t_b"}]
# Act
report = mfe.evaluate_upload_acks(tiles, audit)
# Assert
assert report.passes
assert report.missing_from_audit == ()
def test_evaluate_upload_acks_missing_tile_fails() -> None:
# Arrange
tiles = [_tile("t_a"), _tile("t_b")]
audit = [{"tile_id": "t_a"}]
# Act
report = mfe.evaluate_upload_acks(tiles, audit)
# Assert
assert not report.passes
assert report.missing_from_audit == ("t_b",)
def test_evaluate_upload_acks_audit_extra_tiles_ok() -> None:
# Arrange — audit may contain stale entries from earlier runs
tiles = [_tile("t_a")]
audit = [{"tile_id": "t_a"}, {"tile_id": "old_run_tile"}]
# Act
report = mfe.evaluate_upload_acks(tiles, audit)
# Assert
assert report.passes
def test_evaluate_upload_acks_empty_generated_fails() -> None:
# Act
report = mfe.evaluate_upload_acks([], [{"tile_id": "x"}])
# Assert
assert not report.passes
def test_evaluate_upload_acks_audit_entry_missing_tile_id_skipped() -> None:
# Arrange
tiles = [_tile("t_a")]
audit = [{"not_tile_id": "garbage"}, {"tile_id": "t_a"}]
# Act
report = mfe.evaluate_upload_acks(tiles, audit)
# Assert
assert report.passes
def test_evaluate_upload_acks_non_dict_audit_entries_skipped() -> None:
# Arrange
tiles = [_tile("t_a")]
audit = ["not a dict", {"tile_id": "t_a"}] # type: ignore[list-item]
# Act
report = mfe.evaluate_upload_acks(tiles, audit)
# Assert
assert report.passes
# ─────────────────────── evaluate_capture_date_freshness ───────────────────────
def test_evaluate_capture_date_freshness_zero_drift_passes() -> None:
# Arrange — generated_at == 1_700_000_000_000 ms == 1_700_000_000 s == 2023-11-14T22:13:20Z
capture = "2023-11-14T22:13:20Z"
tile = _tile(
capture_utc=capture, generated_at_ms=1_700_000_000_000
)
# Act
report = mfe.evaluate_capture_date_freshness([tile])
# Assert
assert report.passes
def test_evaluate_capture_date_freshness_within_tolerance_passes() -> None:
# Arrange — capture 30s before generation
tile = _tile(
capture_utc="2023-11-14T22:12:50Z", generated_at_ms=1_700_000_000_000
)
# Act
report = mfe.evaluate_capture_date_freshness([tile])
# Assert
assert report.passes
def test_evaluate_capture_date_freshness_over_tolerance_fails() -> None:
# Arrange — capture 120s before generation
tile = _tile(
capture_utc="2023-11-14T22:11:20Z", generated_at_ms=1_700_000_000_000
)
# Act
report = mfe.evaluate_capture_date_freshness([tile])
# Assert
assert not report.passes
def test_evaluate_capture_date_freshness_unparseable_capture_fails() -> None:
# Arrange
tile = _tile(capture_utc="not-a-timestamp")
# Act
report = mfe.evaluate_capture_date_freshness([tile])
# Assert
assert not report.passes
assert report.entries[0].drift_s is None
def test_evaluate_capture_date_freshness_missing_capture_falls_back_to_quality_dict() -> None:
# Arrange — capture_utc_iso None but quality dict carries the field
tile = _tile(capture_utc=None)
# Act
report = mfe.evaluate_capture_date_freshness([tile])
# Assert
# The quality dict's "capture_utc" is 2026-05-17T11:30:00Z; generated_at is 2023-11-14
# so drift is huge — should fail
assert not report.passes
assert report.entries[0].drift_s is not None
def test_evaluate_capture_date_freshness_custom_tolerance() -> None:
# Arrange — capture 120s before; widen tolerance to 200s
tile = _tile(
capture_utc="2023-11-14T22:11:20Z", generated_at_ms=1_700_000_000_000
)
# Act
report = mfe.evaluate_capture_date_freshness([tile], tolerance_s=200.0)
# Assert
assert report.passes
def test_evaluate_capture_date_freshness_invalid_tolerance_raises() -> None:
with pytest.raises(ValueError, match="tolerance_s"):
mfe.evaluate_capture_date_freshness([_tile()], tolerance_s=0)
def test_evaluate_capture_date_freshness_empty_list_fails() -> None:
# Act
report = mfe.evaluate_capture_date_freshness([])
# Assert
assert not report.passes
# ─────────────────────── evaluate_freshness_gate ───────────────────────
def test_evaluate_freshness_gate_no_rejections_passes() -> None:
# Arrange
tiles = [_tile("t_a"), _tile("t_b")]
# Act
report = mfe.evaluate_freshness_gate(tiles, [])
# Assert
assert report.passes
def test_evaluate_freshness_gate_unrelated_rejection_passes() -> None:
# Arrange — rejection for some other tile
tiles = [_tile("t_a")]
rejections = [{"id": "old_tile", "reason": "stale"}]
# Act
report = mfe.evaluate_freshness_gate(tiles, rejections)
# Assert
assert report.passes
def test_evaluate_freshness_gate_fresh_tile_rejected_stale_fails() -> None:
# Arrange
tiles = [_tile("t_a")]
rejections = [{"id": "t_a", "reason": "stale"}]
# Act
report = mfe.evaluate_freshness_gate(tiles, rejections)
# Assert
assert not report.passes
assert report.stale_rejections == ("t_a",)
def test_evaluate_freshness_gate_non_stale_reason_ignored() -> None:
# Arrange
tiles = [_tile("t_a")]
rejections = [{"id": "t_a", "reason": "below_floor"}]
# Act
report = mfe.evaluate_freshness_gate(tiles, rejections)
# Assert
assert report.passes
def test_evaluate_freshness_gate_tile_id_key_variant() -> None:
# Arrange — some rejection records use "tile_id" instead of "id"
tiles = [_tile("t_a")]
rejections = [{"tile_id": "t_a", "reason": "stale"}]
# Act
report = mfe.evaluate_freshness_gate(tiles, rejections)
# Assert
assert not report.passes
def test_evaluate_freshness_gate_non_dict_payload_skipped() -> None:
# Arrange
tiles = [_tile("t_a")]
rejections = ["not a dict", {"id": "t_a", "reason": "stale"}] # type: ignore[list-item]
# Act
report = mfe.evaluate_freshness_gate(tiles, rejections)
# Assert
assert not report.passes
assert report.stale_rejections == ("t_a",)
def test_evaluate_freshness_gate_custom_stale_reason() -> None:
# Arrange
tiles = [_tile("t_a")]
rejections = [{"id": "t_a", "reason": "expired_freshness"}]
# Act
report = mfe.evaluate_freshness_gate(tiles, rejections, stale_reason="expired_freshness")
# Assert
assert not report.passes
@@ -0,0 +1,185 @@
"""Unit tests for ``runner.helpers.mock_suite_sat_audit`` (AZ-422)."""
from __future__ import annotations
from typing import Any
import httpx
import pytest
from runner.helpers import mock_suite_sat_audit
def _transport(handler) -> httpx.MockTransport: # type: ignore[no-untyped-def]
return httpx.MockTransport(handler)
# ─────────────────────── happy path ───────────────────────
def test_fetch_audit_returns_entries_list() -> None:
# Arrange
captured: dict[str, Any] = {}
def handler(request: httpx.Request) -> httpx.Response:
captured["url"] = str(request.url)
return httpx.Response(
200,
json={
"run_id": "run_xyz",
"entries": [
{"tile_id": "t_a", "received_at": 1.0},
{"tile_id": "t_b", "received_at": 2.0},
],
},
)
# Act
entries = mock_suite_sat_audit.fetch_audit(
"http://mock-suite-sat-service:8080",
run_id="run_xyz",
transport=_transport(handler),
)
# Assert
assert entries == [
{"tile_id": "t_a", "received_at": 1.0},
{"tile_id": "t_b", "received_at": 2.0},
]
assert "run_id=run_xyz" in captured["url"]
assert "/tiles/audit" in captured["url"]
def test_fetch_audit_empty_entries_list_returned_verbatim() -> None:
# Arrange
def handler(_: httpx.Request) -> httpx.Response:
return httpx.Response(200, json={"run_id": "run_xyz", "entries": []})
# Act
entries = mock_suite_sat_audit.fetch_audit(
"http://service",
run_id="run_xyz",
transport=_transport(handler),
)
# Assert
assert entries == []
def test_fetch_audit_strips_trailing_slash_in_base_url() -> None:
# Arrange
captured: dict[str, Any] = {}
def handler(request: httpx.Request) -> httpx.Response:
captured["url"] = str(request.url)
return httpx.Response(200, json={"run_id": "run_xyz", "entries": []})
# Act
mock_suite_sat_audit.fetch_audit(
"http://service/",
run_id="run_xyz",
transport=_transport(handler),
)
# Assert
assert "//tiles/audit" not in captured["url"]
assert "/tiles/audit?" in captured["url"]
def test_fetch_audit_custom_audit_path() -> None:
# Arrange
captured: dict[str, Any] = {}
def handler(request: httpx.Request) -> httpx.Response:
captured["url"] = str(request.url)
return httpx.Response(200, json={"run_id": "run_xyz", "entries": []})
# Act
mock_suite_sat_audit.fetch_audit(
"http://service",
run_id="run_xyz",
audit_path="/mock/audit",
transport=_transport(handler),
)
# Assert
assert "/mock/audit?" in captured["url"]
# ─────────────────────── error paths ───────────────────────
def test_fetch_audit_empty_base_url_raises() -> None:
with pytest.raises(RuntimeError, match="base_url"):
mock_suite_sat_audit.fetch_audit("", run_id="run_xyz")
def test_fetch_audit_empty_run_id_raises() -> None:
with pytest.raises(RuntimeError, match="run_id"):
mock_suite_sat_audit.fetch_audit("http://service", run_id="")
def test_fetch_audit_non_2xx_raises() -> None:
# Arrange
def handler(_: httpx.Request) -> httpx.Response:
return httpx.Response(500, text="boom")
# Act / Assert
with pytest.raises(RuntimeError, match="HTTP 500"):
mock_suite_sat_audit.fetch_audit(
"http://service",
run_id="run_xyz",
transport=_transport(handler),
)
def test_fetch_audit_non_json_body_raises() -> None:
# Arrange
def handler(_: httpx.Request) -> httpx.Response:
return httpx.Response(200, text="<<<not json>>>")
# Act / Assert
with pytest.raises(RuntimeError, match="not valid JSON"):
mock_suite_sat_audit.fetch_audit(
"http://service",
run_id="run_xyz",
transport=_transport(handler),
)
def test_fetch_audit_body_not_object_raises() -> None:
# Arrange
def handler(_: httpx.Request) -> httpx.Response:
return httpx.Response(200, json=["not", "an", "object"])
# Act / Assert
with pytest.raises(RuntimeError, match="not a JSON object"):
mock_suite_sat_audit.fetch_audit(
"http://service",
run_id="run_xyz",
transport=_transport(handler),
)
def test_fetch_audit_missing_entries_raises() -> None:
# Arrange
def handler(_: httpx.Request) -> httpx.Response:
return httpx.Response(200, json={"run_id": "run_xyz"})
# Act / Assert
with pytest.raises(RuntimeError, match="entries"):
mock_suite_sat_audit.fetch_audit(
"http://service",
run_id="run_xyz",
transport=_transport(handler),
)
def test_fetch_audit_entries_not_list_raises() -> None:
# Arrange
def handler(_: httpx.Request) -> httpx.Response:
return httpx.Response(200, json={"run_id": "run_xyz", "entries": "stringly"})
# Act / Assert
with pytest.raises(RuntimeError, match="entries"):
mock_suite_sat_audit.fetch_audit(
"http://service",
run_id="run_xyz",
transport=_transport(handler),
)
+4
View File
@@ -53,6 +53,8 @@ E2E_ROOT = Path(__file__).resolve().parents[1]
"runner/helpers/ap_contract_evaluator.py",
"runner/helpers/gcs_telemetry_evaluator.py",
"runner/helpers/tile_cache_inspector.py",
"runner/helpers/mid_flight_tile_evaluator.py",
"runner/helpers/mock_suite_sat_audit.py",
"runner/helpers/cold_start_evaluator.py",
"runner/helpers/outlier_tolerance_evaluator.py",
"runner/helpers/outage_request_evaluator.py",
@@ -112,11 +114,13 @@ E2E_ROOT = Path(__file__).resolve().parents[1]
"tests/positive/test_ft_p_13_gcs_command.py",
"tests/positive/test_ft_p_15_cache_schema.py",
"tests/positive/test_ft_p_16_offline_only.py",
"tests/positive/test_ft_p_17_mid_flight_tiles.py",
"tests/positive/test_ft_p_18_no_raw_retention.py",
"tests/negative/test_ft_n_01_outlier_tolerance.py",
"tests/negative/test_ft_n_02_sharp_turn_failure.py",
"tests/negative/test_ft_n_03_outage_reloc.py",
"tests/negative/test_ft_n_04_blackout_spoof.py",
"tests/negative/test_ft_n_06_mid_flight_freshness.py",
],
)
def test_required_path_exists(relative_path: str) -> None:
@@ -0,0 +1,500 @@
"""Mid-flight tile generation + freshness evaluators (AZ-422 / FT-P-17 + FT-N-06).
Pure-logic evaluators sourced from the FDR archive (per-tile generation
records + freshness-gate events) and the mock-suite-sat-service audit
log (landing-time upload acks).
Sub-scenarios:
* **FT-P-17 / AC-8.4** — five evaluators:
* generation cadence (≥ 1 tile / 3 s of high-quality nav frames);
* quality-metadata sufficiency (per-tile fields the Service voting
layer needs — Mode B Fact #105: capture_utc, source_provider,
resolution_m_per_px, cloud_coverage_pct, geo_accuracy_m, plus
publish-request fields: tile_id, bbox_wgs84, zoom_level,
descriptor_sha256, payload_size_bytes);
* dedup (no two tiles share footprint within ±1 m AND GSD within
±5 %);
* landing-event upload (every generated tile has an audit entry
in the mock-suite-sat-service).
* **FT-N-06 / AC-NEW-6** — two evaluators:
* capture-date freshness (|capture_utc generated_at| ≤ 60 s);
* freshness-gate (no ``tile-load-rejected: stale`` FDR event for a
freshly generated tile).
All evaluators consume Python dataclasses / dicts. The HTTP fetch
and FDR walk live in scenario tests; this module only decides whether
the parsed inputs satisfy the AC.
Public-boundary discipline: NO imports from ``src/gps_denied_onboard``.
"""
from __future__ import annotations
from dataclasses import dataclass
from datetime import datetime, timezone
from typing import Iterable, Sequence
from .geo import distance_m
# ─────────────────────── FDR record kinds & schema ───────────────────────
MID_FLIGHT_TILE_FDR_KIND = "mid-flight-tile-output"
TILE_LOAD_REJECTED_FDR_KIND = "tile-load-rejected"
TILE_LOAD_REJECTED_STALE_REASON = "stale"
MIN_TILES_PER_HIGH_QUALITY_WINDOW_S = 3.0 # ≥ 1 tile per ~3 s of high-quality nav frames
CAPTURE_DATE_FRESHNESS_TOLERANCE_S = 60.0
DEDUP_FOOTPRINT_TOLERANCE_M = 1.0
DEDUP_GSD_TOLERANCE_FRACTION = 0.05 # ±5 %
# Schema mirror — must stay in sync with ``e2e/fixtures/mock-suite-sat/app.py``
# ``TilePublishRequest`` + ``TileQualityMetadata``.
TILE_REQUIRED_TOP_LEVEL_FIELDS: tuple[str, ...] = (
"tile_id",
"bbox_wgs84",
"zoom_level",
"descriptor_sha256",
"payload_size_bytes",
"quality",
)
TILE_REQUIRED_QUALITY_FIELDS: tuple[str, ...] = (
"capture_utc",
"source_provider",
"resolution_m_per_px",
"cloud_coverage_pct",
"geo_accuracy_m",
)
@dataclass(frozen=True)
class TileSpec:
"""Public-boundary projection of one mid-flight-tile-output record.
Sourced from the FDR ``mid-flight-tile-output`` record. Mirrors the
TilePublishRequest schema so the same dataclass feeds both the
landing-event upload comparison (AC-4) and the per-tile evaluators.
``bbox_wgs84`` is ``(west_lon, south_lat, east_lon, north_lat)``
matching the mock-suite-sat-service contract.
``generated_at_monotonic_ms`` is the SUT's emission timestamp from
the FDR envelope's ``ts`` (projected to monotonic ms by the FDR
reader). ``capture_utc_iso`` is the per-tile field — they should
agree within ``CAPTURE_DATE_FRESHNESS_TOLERANCE_S`` (FT-N-06).
"""
tile_id: str
bbox_wgs84: tuple[float, float, float, float]
zoom_level: int
descriptor_sha256: str
payload_size_bytes: int
quality: dict[str, object]
generated_at_monotonic_ms: int
capture_utc_iso: str | None = None # convenience accessor; same as quality["capture_utc"]
def bbox_centre(bbox: tuple[float, float, float, float]) -> tuple[float, float]:
"""Return ``(lat, lon)`` of a WGS84 bbox ``(west, south, east, north)``."""
west, south, east, north = bbox
return ((south + north) / 2.0, (west + east) / 2.0)
# ─────────────────────────── FT-P-17 / AC-1 ───────────────────────────
@dataclass(frozen=True)
class TileGenerationRateReport:
"""AC-1 of FT-P-17: ≥ 1 tile per ~3 s of high-quality nav frames."""
tile_count: int
high_quality_window_s: float
observed_rate_per_3s: float
min_required_rate_per_3s: float = 1.0
@property
def passes(self) -> bool:
if self.high_quality_window_s <= 0:
return False
return self.observed_rate_per_3s >= self.min_required_rate_per_3s
def evaluate_tile_generation_rate(
tiles: Sequence[TileSpec],
high_quality_window_s: float,
*,
window_s_per_tile: float = MIN_TILES_PER_HIGH_QUALITY_WINDOW_S,
) -> TileGenerationRateReport:
"""AC-1: rate of generated tiles over the high-quality nav-frame window.
``high_quality_window_s`` is the total wall-clock seconds during the
replay that produced "high-quality" nav frames (defined by AC-2.1a
normal-segment in `_docs/02_document/tests/blackbox-tests.md`).
The scenario test computes this from the FDR's segment-quality
records; the helper only divides.
The AC threshold is ≥ 1 tile per ``window_s_per_tile`` seconds.
Normalised to a "tiles per 3 s" rate so the report is unitless.
"""
if window_s_per_tile <= 0:
raise ValueError(f"window_s_per_tile must be > 0, got {window_s_per_tile}")
if high_quality_window_s <= 0:
return TileGenerationRateReport(
tile_count=len(tiles),
high_quality_window_s=high_quality_window_s,
observed_rate_per_3s=0.0,
)
rate = (len(tiles) / high_quality_window_s) * window_s_per_tile
return TileGenerationRateReport(
tile_count=len(tiles),
high_quality_window_s=high_quality_window_s,
observed_rate_per_3s=rate,
)
# ─────────────────────────── FT-P-17 / AC-2 ───────────────────────────
@dataclass(frozen=True)
class TileQualityEntryReport:
"""Per-tile schema-completeness result."""
tile_id: str
missing_top_level_fields: tuple[str, ...]
missing_quality_fields: tuple[str, ...]
@property
def passes(self) -> bool:
return not self.missing_top_level_fields and not self.missing_quality_fields
@dataclass(frozen=True)
class TileQualityReport:
"""AC-2 of FT-P-17: every tile carries the Mode B Fact #105 fields."""
entries: tuple[TileQualityEntryReport, ...]
@property
def failing_entries(self) -> tuple[TileQualityEntryReport, ...]:
return tuple(e for e in self.entries if not e.passes)
@property
def passes(self) -> bool:
if not self.entries:
return False
return not self.failing_entries
def evaluate_tile_quality_metadata(
tiles: Sequence[TileSpec],
*,
required_top_level: Sequence[str] = TILE_REQUIRED_TOP_LEVEL_FIELDS,
required_quality: Sequence[str] = TILE_REQUIRED_QUALITY_FIELDS,
) -> TileQualityReport:
"""AC-2: every tile has all top-level + quality fields populated.
"Populated" means the key is present in the underlying dict
representation AND the value is not ``None``. A ``TileSpec``
constructed by the scenario test from the FDR record carries
these fields as dataclass attributes; this helper still re-checks
the quality dict for completeness because the dict mirror is the
actual contract with the Service voting layer.
"""
entries: list[TileQualityEntryReport] = []
for tile in tiles:
missing_top: list[str] = []
for f in required_top_level:
if f == "quality":
continue
value = getattr(tile, _top_level_field_to_attr(f), None)
if value is None:
missing_top.append(f)
missing_quality: list[str] = []
if not isinstance(tile.quality, dict):
missing_quality = list(required_quality)
else:
for f in required_quality:
if f not in tile.quality or tile.quality[f] is None:
missing_quality.append(f)
entries.append(
TileQualityEntryReport(
tile_id=tile.tile_id or "<unknown>",
missing_top_level_fields=tuple(missing_top),
missing_quality_fields=tuple(missing_quality),
)
)
return TileQualityReport(entries=tuple(entries))
def _top_level_field_to_attr(field: str) -> str:
"""Map TilePublishRequest field name to the TileSpec attribute."""
return field # 1:1 mapping; documented for future drift handling
# ─────────────────────────── FT-P-17 / AC-3 ───────────────────────────
@dataclass(frozen=True)
class TileDedupReport:
"""AC-3 of FT-P-17: no two tiles share a (footprint, GSD) bin."""
duplicate_pairs: tuple[tuple[str, str], ...]
footprint_tolerance_m: float = DEDUP_FOOTPRINT_TOLERANCE_M
gsd_tolerance_fraction: float = DEDUP_GSD_TOLERANCE_FRACTION
@property
def duplicate_count(self) -> int:
return len(self.duplicate_pairs)
@property
def passes(self) -> bool:
return self.duplicate_count == 0
def evaluate_dedup(
tiles: Sequence[TileSpec],
*,
footprint_tolerance_m: float = DEDUP_FOOTPRINT_TOLERANCE_M,
gsd_tolerance_fraction: float = DEDUP_GSD_TOLERANCE_FRACTION,
) -> TileDedupReport:
"""AC-3: pair-wise dedup check.
Two tiles are duplicates iff:
* Vincenty distance between their bbox centres ≤ ``footprint_tolerance_m`` AND
* ``|gsd_a gsd_b| / max(gsd_a, gsd_b) ≤ gsd_tolerance_fraction``
O(N²) — fine for the < 100 tiles per 5 min replay scenarios produce.
Returns the offending ``(tile_id, tile_id)`` pairs.
"""
if footprint_tolerance_m < 0:
raise ValueError(f"footprint_tolerance_m must be ≥0, got {footprint_tolerance_m}")
if gsd_tolerance_fraction < 0:
raise ValueError(
f"gsd_tolerance_fraction must be ≥0, got {gsd_tolerance_fraction}"
)
centres: list[tuple[float, float]] = [bbox_centre(t.bbox_wgs84) for t in tiles]
gsds: list[float | None] = [_extract_gsd(t) for t in tiles]
pairs: list[tuple[str, str]] = []
for i in range(len(tiles)):
gsd_i = gsds[i]
if gsd_i is None:
continue
for j in range(i + 1, len(tiles)):
gsd_j = gsds[j]
if gsd_j is None:
continue
denom = max(gsd_i, gsd_j)
if denom == 0:
continue
gsd_delta_fraction = abs(gsd_i - gsd_j) / denom
if gsd_delta_fraction > gsd_tolerance_fraction:
continue
d_m = distance_m(
centres[i][0], centres[i][1], centres[j][0], centres[j][1]
)
if d_m <= footprint_tolerance_m:
pairs.append((tiles[i].tile_id, tiles[j].tile_id))
return TileDedupReport(
duplicate_pairs=tuple(pairs),
footprint_tolerance_m=footprint_tolerance_m,
gsd_tolerance_fraction=gsd_tolerance_fraction,
)
def _extract_gsd(tile: TileSpec) -> float | None:
"""Pull GSD (resolution_m_per_px) from the tile's quality dict."""
if not isinstance(tile.quality, dict):
return None
raw = tile.quality.get("resolution_m_per_px")
if isinstance(raw, (int, float)):
return float(raw)
return None
# ─────────────────────────── FT-P-17 / AC-4 ───────────────────────────
@dataclass(frozen=True)
class TileUploadAckReport:
"""AC-4 of FT-P-17: every generated tile uploaded with HTTP 202."""
generated_tile_ids: tuple[str, ...]
audit_tile_ids: tuple[str, ...]
missing_from_audit: tuple[str, ...]
@property
def passes(self) -> bool:
if not self.generated_tile_ids:
return False
return not self.missing_from_audit
def evaluate_upload_acks(
generated_tiles: Sequence[TileSpec],
audit_entries: Sequence[dict],
) -> TileUploadAckReport:
"""AC-4: every generated tile_id appears in the mock-suite-sat-service audit.
The mock-suite-sat-service ``POST /tiles`` endpoint records HTTP 202
responses to its run-scoped audit log; a tile that did not return
202 (i.e., was rejected with 400 or any forced-5xx) is NOT in the
audit. So a tile_id present in ``generated_tiles`` but absent from
``audit_entries`` is by construction a missing ack.
``audit_entries`` is the ``entries`` field of the JSON response from
``GET /tiles/audit?run_id=<RUN_ID>``.
"""
generated_ids = tuple(t.tile_id for t in generated_tiles)
audit_ids = tuple(
e["tile_id"] for e in audit_entries if isinstance(e, dict) and "tile_id" in e
)
audit_id_set = set(audit_ids)
missing = tuple(tid for tid in generated_ids if tid not in audit_id_set)
return TileUploadAckReport(
generated_tile_ids=generated_ids,
audit_tile_ids=audit_ids,
missing_from_audit=missing,
)
# ─────────────────────────── FT-N-06 / AC-5 ───────────────────────────
@dataclass(frozen=True)
class CaptureDateFreshnessEntryReport:
"""Per-tile drift between ``capture_utc`` and ``generated_at``.
Whether the drift passes the AC threshold is decided at the
``CaptureDateFreshnessReport`` level because the tolerance is a
report-wide knob (AC-5 stipulates 60 s globally).
"""
tile_id: str
drift_s: float | None # None when capture_utc cannot be parsed
@dataclass(frozen=True)
class CaptureDateFreshnessReport:
"""AC-5 of FT-N-06: |capture_utc - generated_at_wall_clock| ≤ 60 s."""
entries: tuple[CaptureDateFreshnessEntryReport, ...]
tolerance_s: float = CAPTURE_DATE_FRESHNESS_TOLERANCE_S
@property
def failing_entries(self) -> tuple[CaptureDateFreshnessEntryReport, ...]:
return tuple(
e for e in self.entries
if e.drift_s is None or abs(e.drift_s) > self.tolerance_s
)
@property
def passes(self) -> bool:
if not self.entries:
return False
return not self.failing_entries
def evaluate_capture_date_freshness(
tiles: Sequence[TileSpec],
*,
tolerance_s: float = CAPTURE_DATE_FRESHNESS_TOLERANCE_S,
) -> CaptureDateFreshnessReport:
"""AC-5: per-tile capture_utc drift against generated_at_monotonic_ms.
Drift is signed: ``capture_utc generated_at``. A drift of +0 is
"capture happened at generation"; negative drift means capture
happened BEFORE generation (the usual direction — capture is
instantaneous, generation is the orthorectification step that
follows).
A tile whose ``capture_utc`` cannot be parsed as ISO 8601 records
drift_s = None and fails the AC.
"""
if tolerance_s <= 0:
raise ValueError(f"tolerance_s must be > 0, got {tolerance_s}")
entries: list[CaptureDateFreshnessEntryReport] = []
for tile in tiles:
capture_str = tile.capture_utc_iso
if capture_str is None and isinstance(tile.quality, dict):
raw = tile.quality.get("capture_utc")
if isinstance(raw, str):
capture_str = raw
drift: float | None
if capture_str is None:
drift = None
else:
parsed = _parse_iso8601_utc_seconds(capture_str)
if parsed is None:
drift = None
else:
drift = parsed - (tile.generated_at_monotonic_ms / 1000.0)
entries.append(
CaptureDateFreshnessEntryReport(tile_id=tile.tile_id, drift_s=drift)
)
return CaptureDateFreshnessReport(
entries=tuple(entries), tolerance_s=tolerance_s
)
def _parse_iso8601_utc_seconds(ts: str) -> float | None:
"""Parse ISO 8601 ``ts`` into seconds-since-epoch; ``None`` on failure.
Accepts the trailing ``Z`` shorthand that ``datetime.fromisoformat``
did not accept until 3.11.
"""
try:
normalised = ts[:-1] + "+00:00" if ts.endswith("Z") else ts
dt = datetime.fromisoformat(normalised)
if dt.tzinfo is None:
dt = dt.replace(tzinfo=timezone.utc)
return dt.timestamp()
except (TypeError, ValueError):
return None
# ─────────────────────────── FT-N-06 / AC-6 ───────────────────────────
@dataclass(frozen=True)
class FreshnessGateReport:
"""AC-6 of FT-N-06: no `tile-load-rejected: stale` for freshly generated tiles."""
generated_tile_ids: tuple[str, ...]
stale_rejections: tuple[str, ...]
@property
def passes(self) -> bool:
return not self.stale_rejections
def evaluate_freshness_gate(
generated_tiles: Sequence[TileSpec],
fdr_rejection_records: Iterable[dict],
*,
stale_reason: str = TILE_LOAD_REJECTED_STALE_REASON,
) -> FreshnessGateReport:
"""AC-6: any ``tile-load-rejected: stale`` for a freshly generated tile fails.
``fdr_rejection_records`` is the payload dict of each FDR record whose
``record_type == TILE_LOAD_REJECTED_FDR_KIND``. A "stale" rejection
sets ``reason == "stale"``. If the rejected tile_id matches a
generated tile_id, the freshness gate misclassified it.
"""
generated_ids = tuple(t.tile_id for t in generated_tiles)
gen_id_set = set(generated_ids)
stale: list[str] = []
for payload in fdr_rejection_records:
if not isinstance(payload, dict):
continue
reason = payload.get("reason")
if reason != stale_reason:
continue
tile_id = payload.get("id") or payload.get("tile_id")
if isinstance(tile_id, str) and tile_id in gen_id_set:
stale.append(tile_id)
return FreshnessGateReport(
generated_tile_ids=generated_ids, stale_rejections=tuple(stale)
)
@@ -0,0 +1,76 @@
"""HTTP client for the mock-suite-sat-service audit log.
Thin wrapper over ``GET /tiles/audit`` (and its alias ``GET /mock/audit``)
that the FT-P-17 scenario uses to verify every generated tile was
accepted with HTTP 202 at landing-time upload.
Reading the audit log is a one-shot, end-of-run operation, so the
helper is synchronous httpx — no streaming, no retries (the service is
co-located in the compose harness and a failure to reach it is itself
a test failure, not something to paper over).
"""
from __future__ import annotations
from typing import Any
import httpx
DEFAULT_TIMEOUT_S = 10.0
DEFAULT_AUDIT_PATH = "/tiles/audit"
def fetch_audit(
base_url: str,
run_id: str,
*,
timeout_s: float = DEFAULT_TIMEOUT_S,
audit_path: str = DEFAULT_AUDIT_PATH,
transport: httpx.BaseTransport | None = None,
) -> list[dict[str, Any]]:
"""Return the ``entries`` list from the mock-suite-sat-service audit log.
The endpoint returns ``{"run_id": str, "entries": [...]}``; this
helper unwraps the list. An empty list is a legal response (the
SUT may not have uploaded anything yet).
Raises ``RuntimeError`` on non-2xx HTTP status or a malformed
response shape — the scenario test wants those to fail loudly.
``transport`` is a unit-test seam: pass an
``httpx.MockTransport`` to feed canned responses without spinning
up the real service.
"""
if not base_url:
raise RuntimeError("fetch_audit: base_url must be a non-empty string")
if not run_id:
raise RuntimeError("fetch_audit: run_id must be a non-empty string")
url = base_url.rstrip("/") + audit_path
client_kwargs: dict[str, Any] = {"timeout": timeout_s}
if transport is not None:
client_kwargs["transport"] = transport
with httpx.Client(**client_kwargs) as client:
resp = client.get(url, params={"run_id": run_id})
if resp.status_code >= 300:
raise RuntimeError(
f"fetch_audit: {url}?run_id={run_id} returned HTTP "
f"{resp.status_code}: body={resp.text[:200]!r}"
)
try:
body = resp.json()
except ValueError as exc:
raise RuntimeError(
f"fetch_audit: {url}?run_id={run_id} body is not valid JSON: {exc}"
) from exc
if not isinstance(body, dict):
raise RuntimeError(
f"fetch_audit: {url}?run_id={run_id} body is not a JSON object: "
f"got {type(body).__name__}"
)
entries = body.get("entries")
if not isinstance(entries, list):
raise RuntimeError(
f"fetch_audit: {url}?run_id={run_id} body missing 'entries' list: "
f"keys={list(body.keys())}"
)
return entries
@@ -0,0 +1,126 @@
"""FT-N-06 — Mid-flight tile current-timestamp + fresh-treatment (AZ-422 / AC-NEW-6).
The full scenario:
1. Same 5 min Derkachi replay as FT-P-17; the SUT generates one
FDR ``mid-flight-tile-output`` record per tile.
2. Inspect each tile's manifest entry:
* AC-5: ``|capture_utc - generated_at_monotonic_ms| ≤ 60 s``.
* AC-6: no FDR ``tile-load-rejected`` record with
``reason == "stale"`` carries any of the generated tile IDs
(a fresh tile must not be misclassified by the freshness gate).
Gated on:
* ``sitl_replay_ready`` — full replay requires the SITL fixture.
* ``runner.helpers.mid_flight_tile_evaluator`` — pure-logic
evaluator covered by
``e2e/_unit_tests/helpers/test_mid_flight_tile_evaluator.py``.
This is a "negative" test in the sense that it asserts a *non*-event:
no stale rejection of a freshly generated tile. The test still skips
cleanly when the SITL fixture is not prepared.
"""
from __future__ import annotations
from pathlib import Path
import pytest
from runner.helpers import mid_flight_tile_evaluator as mfe
@pytest.mark.traces_to("AC-NEW-6,AC-5,AC-6,AC-7")
def test_ft_n_06_mid_flight_freshness(
fc_adapter: str,
vio_strategy: str,
evidence_dir, # type: ignore[no-untyped-def]
run_id: str,
nfr_recorder, # type: ignore[no-untyped-def]
sitl_replay_ready: bool,
) -> None:
"""Full FT-N-06 scenario (AC-NEW-6)."""
if not sitl_replay_ready:
pytest.skip(
"FT-N-06 requires `E2E_SITL_REPLAY_DIR` to point at a SITL replay "
"fixture exposing `mid-flight-tile-output` FDR records and any "
"`tile-load-rejected` events emitted by the freshness gate "
"(AZ-595 + AZ-422 fixture builder). Pure-logic AC-NEW-6 "
"coverage lives in "
"e2e/_unit_tests/helpers/test_mid_flight_tile_evaluator.py."
)
from runner.helpers import fdr_reader
fdr_root = Path(evidence_dir).parent / f"run-{run_id}" / "fdr"
tiles: list[mfe.TileSpec] = []
rejection_payloads: list[dict] = []
for rec in fdr_reader.iter_records(fdr_root):
if rec.record_type == mfe.MID_FLIGHT_TILE_FDR_KIND:
tile = _project_tile(rec)
if tile is not None:
tiles.append(tile)
elif rec.record_type == mfe.TILE_LOAD_REJECTED_FDR_KIND:
rejection_payloads.append(dict(rec.payload))
if not tiles:
pytest.fail(
f"FT-N-06: no `{mfe.MID_FLIGHT_TILE_FDR_KIND}` FDR records at "
f"{fdr_root}. The fixture builder must produce at least one "
"generated tile for the freshness/stale check to be meaningful."
)
capture_report = mfe.evaluate_capture_date_freshness(tiles)
freshness_report = mfe.evaluate_freshness_gate(tiles, rejection_payloads)
nfr_recorder.record_metric(
"ft_n_06.tile_count", float(len(tiles)), ac_id="AC-NEW-6"
)
nfr_recorder.record_metric(
"ft_n_06.capture_drift_failures",
float(len(capture_report.failing_entries)),
ac_id="AC-5",
)
nfr_recorder.record_metric(
"ft_n_06.stale_rejection_count",
float(len(freshness_report.stale_rejections)),
ac_id="AC-6",
)
assert capture_report.passes, (
f"AC-5 (|capture_utc - generated_at| ≤ {capture_report.tolerance_s} s) failed: "
f"failures={[(e.tile_id, e.drift_s) for e in capture_report.failing_entries]}"
)
assert freshness_report.passes, (
"AC-6 (no `tile-load-rejected: stale` for freshly generated tile) failed: "
f"stale_rejected_tile_ids={freshness_report.stale_rejections}"
)
def _project_tile(rec) -> mfe.TileSpec | None: # type: ignore[no-untyped-def]
"""Project an FDR record onto a ``TileSpec``; ``None`` if malformed."""
p = rec.payload
try:
bbox = tuple(p["bbox_wgs84"]) # type: ignore[index]
except (KeyError, TypeError):
return None
if len(bbox) != 4:
return None
quality = p.get("quality") if isinstance(p.get("quality"), dict) else {}
capture_utc: str | None = None
if isinstance(quality, dict):
raw_capture = quality.get("capture_utc")
if isinstance(raw_capture, str):
capture_utc = raw_capture
return mfe.TileSpec(
tile_id=str(p.get("tile_id") or ""),
bbox_wgs84=(float(bbox[0]), float(bbox[1]), float(bbox[2]), float(bbox[3])),
zoom_level=int(p.get("zoom_level") or 0),
descriptor_sha256=str(p.get("descriptor_sha256") or ""),
payload_size_bytes=int(p.get("payload_size_bytes") or 0),
quality=dict(quality) if isinstance(quality, dict) else {},
generated_at_monotonic_ms=int(rec.monotonic_ms),
capture_utc_iso=capture_utc,
)
@@ -0,0 +1,182 @@
"""FT-P-17 — Mid-flight tile generation + landing-time upload (AZ-422 / AC-8.4).
The full scenario:
1. The SUT cold-starts against an empty ``mid-flight-tile-output/``
FDR directory + the bind-mounted Derkachi fixture.
2. Replay 5 min of Derkachi at the SUT's runtime cadence. While the
SUT generates orthorectified tiles it writes one FDR record per
tile under ``mid-flight-tile-output`` carrying every field the
mock-suite-sat-service ingest schema requires (Mode B Fact #105).
3. After replay, the test simulates a landing event (mechanism is
public-input — ``simulate_landing()`` MAVLink command, owned by
AZ-595 fixture builder); the SUT then uploads every generated
tile to ``mock-suite-sat-service``.
4. The test parses the FDR archive for generated tiles, fetches the
mock-service audit log, and asserts:
* AC-1: ≥ 1 tile per ~3 s of high-quality nav frames.
* AC-2: every tile has all Mode B Fact #105 fields populated.
* AC-3: no two tiles share footprint within ±1 m AND GSD within ±5 %.
* AC-4: every generated tile_id is in the audit log (HTTP 202).
* AC-7: parameterised across ``(fc_adapter, vio_strategy)``.
FT-N-06 (AC-5/AC-6) is a separate file: ``test_ft_n_06_mid_flight_freshness.py``.
Gated on:
* ``sitl_replay_ready`` — full replay requires the SITL fixture.
* ``runner.helpers.mid_flight_tile_evaluator`` — pure-logic evaluator
covered by ``e2e/_unit_tests/helpers/test_mid_flight_tile_evaluator.py``.
* ``runner.helpers.mock_suite_sat_audit.fetch_audit`` — HTTP wrapper
covered by ``e2e/_unit_tests/helpers/test_mock_suite_sat_audit.py``.
* ``FT_P_17_HIGH_QUALITY_WINDOW_S_ENV`` — the fixture builder records
the total wall-clock seconds of high-quality nav frames produced
by the replay (per AC-2.1a normal-segment criterion). Without this
env var the scenario can't compute the AC-1 denominator and skips.
"""
from __future__ import annotations
import os
from pathlib import Path
import pytest
from runner.helpers import mid_flight_tile_evaluator as mfe
from runner.helpers import mock_suite_sat_audit
FT_P_17_HIGH_QUALITY_WINDOW_S_ENV = "FT_P_17_HIGH_QUALITY_WINDOW_S"
@pytest.mark.traces_to("AC-8.4,AC-1,AC-2,AC-3,AC-4,AC-7")
def test_ft_p_17_mid_flight_tiles(
fc_adapter: str,
vio_strategy: str,
evidence_dir, # type: ignore[no-untyped-def]
run_id: str,
nfr_recorder, # type: ignore[no-untyped-def]
sitl_replay_ready: bool,
mock_suite_sat_url: str,
) -> None:
"""Full FT-P-17 scenario (AC-8.4)."""
if not sitl_replay_ready:
pytest.skip(
"FT-P-17 requires `E2E_SITL_REPLAY_DIR` to point at a SITL replay "
"fixture exposing `mid-flight-tile-output` FDR records and the "
"post-landing audit population on mock-suite-sat-service "
"(AZ-595 + AZ-422 fixture builder). Pure-logic AC-8.4 coverage "
"lives in e2e/_unit_tests/helpers/test_mid_flight_tile_evaluator.py."
)
high_quality_window_s_str = os.environ.get(FT_P_17_HIGH_QUALITY_WINDOW_S_ENV)
if not high_quality_window_s_str:
pytest.skip(
f"FT-P-17 needs `{FT_P_17_HIGH_QUALITY_WINDOW_S_ENV}` env var "
"(total wall-clock seconds of high-quality nav frames per "
"AC-2.1a). The fixture builder records this from the replay's "
"segment-quality FDR records."
)
try:
high_quality_window_s = float(high_quality_window_s_str)
except ValueError as exc:
pytest.fail(
f"FT-P-17: `{FT_P_17_HIGH_QUALITY_WINDOW_S_ENV}` must parse as "
f"float; got {high_quality_window_s_str!r}: {exc}"
)
from runner.helpers import fdr_reader
fdr_root = Path(evidence_dir).parent / f"run-{run_id}" / "fdr"
tiles = list(_extract_tiles_from_fdr(fdr_reader, fdr_root))
if not tiles:
pytest.fail(
f"FT-P-17: no `{mfe.MID_FLIGHT_TILE_FDR_KIND}` FDR records under "
f"{fdr_root}. The SUT must generate at least one tile per AC-1."
)
audit_entries = mock_suite_sat_audit.fetch_audit(mock_suite_sat_url, run_id=run_id)
rate_report = mfe.evaluate_tile_generation_rate(tiles, high_quality_window_s)
quality_report = mfe.evaluate_tile_quality_metadata(tiles)
dedup_report = mfe.evaluate_dedup(tiles)
upload_report = mfe.evaluate_upload_acks(tiles, audit_entries)
nfr_recorder.record_metric(
"ft_p_17.tile_count", float(rate_report.tile_count), ac_id="AC-1"
)
nfr_recorder.record_metric(
"ft_p_17.observed_rate_per_3s", rate_report.observed_rate_per_3s, ac_id="AC-1"
)
nfr_recorder.record_metric(
"ft_p_17.high_quality_window_s", high_quality_window_s, ac_id="AC-1"
)
nfr_recorder.record_metric(
"ft_p_17.tile_quality_failures",
float(len(quality_report.failing_entries)),
ac_id="AC-2",
)
nfr_recorder.record_metric(
"ft_p_17.dedup_duplicate_pairs",
float(dedup_report.duplicate_count),
ac_id="AC-3",
)
nfr_recorder.record_metric(
"ft_p_17.audit_missing_count",
float(len(upload_report.missing_from_audit)),
ac_id="AC-4",
)
assert rate_report.passes, (
f"AC-1 (≥1 tile per {mfe.MIN_TILES_PER_HIGH_QUALITY_WINDOW_S} s) failed: "
f"{rate_report.tile_count} tiles over {high_quality_window_s} s "
f"high-quality window → rate={rate_report.observed_rate_per_3s:.3f}/3s"
)
assert quality_report.passes, (
"AC-2 (every tile has Mode B Fact #105 quality fields) failed: "
f"failures={[(e.tile_id, e.missing_top_level_fields, e.missing_quality_fields) for e in quality_report.failing_entries]}"
)
assert dedup_report.passes, (
"AC-3 (no duplicate footprint+GSD bins) failed: "
f"duplicate_pairs={dedup_report.duplicate_pairs}"
)
assert upload_report.passes, (
"AC-4 (landing-event upload accepted) failed: "
f"generated={len(upload_report.generated_tile_ids)}, "
f"audited={len(upload_report.audit_tile_ids)}, "
f"missing={upload_report.missing_from_audit}"
)
def _extract_tiles_from_fdr(fdr_reader, fdr_root: Path): # type: ignore[no-untyped-def]
"""Yield ``TileSpec``s from every ``mid-flight-tile-output`` FDR record.
Each record's payload mirrors the mock-suite-sat-service TilePublishRequest
shape; the scenario only projects it onto a ``TileSpec`` and lets the
evaluators do the AC math.
"""
for rec in fdr_reader.iter_records(fdr_root):
if rec.record_type != mfe.MID_FLIGHT_TILE_FDR_KIND:
continue
p = rec.payload
try:
bbox = tuple(p["bbox_wgs84"]) # type: ignore[index]
except (KeyError, TypeError):
continue
if len(bbox) != 4:
continue
quality = p.get("quality") if isinstance(p.get("quality"), dict) else {}
capture_utc: str | None = None
if isinstance(quality, dict):
raw_capture = quality.get("capture_utc")
if isinstance(raw_capture, str):
capture_utc = raw_capture
yield mfe.TileSpec(
tile_id=str(p.get("tile_id") or ""),
bbox_wgs84=(float(bbox[0]), float(bbox[1]), float(bbox[2]), float(bbox[3])),
zoom_level=int(p.get("zoom_level") or 0),
descriptor_sha256=str(p.get("descriptor_sha256") or ""),
payload_size_bytes=int(p.get("payload_size_bytes") or 0),
quality=dict(quality) if isinstance(quality, dict) else {},
generated_at_monotonic_ms=int(rec.monotonic_ms),
capture_utc_iso=capture_utc,
)