Merge pull request #317 from BigBodyCobain/feat/cumulative-fuel-burn

feat(flights): cumulative fuel burned + CO2 emitted per flight
2026-05-28 10:01:31 +02:00 · 2026-05-23 08:09:34 -06:00
parent 20807a2d62 03b8053617
commit dcea325fba
6 changed files with 496 additions and 11 deletions
@@ -777,6 +777,19 @@ def start_scheduler():
        misfire_grace_time=60,
    )

+    # Flight observation pruning — drops icao24 → first_seen_at entries we
+    # haven't seen in an hour. Same cadence as AIS prune for symmetry; the
+    # per-tick scan is O(in-flight aircraft) so it's cheap.
+    from services.fetchers.flight_observations import prune as _prune_flight_observations
+    _scheduler.add_job(
+        lambda: _run_task_with_health(_prune_flight_observations, "prune_flight_observations"),
+        "interval",
+        minutes=5,
+        id="flight_observation_prune",
+        max_instances=1,
+        misfire_grace_time=60,
+    )
+
    # AISHub REST fallback — slow polling when the AISStream WebSocket
    # primary is offline. Configurable interval via
    # AISHUB_POLL_INTERVAL_MINUTES env (default 20 min). Operator must
@@ -0,0 +1,148 @@
+"""Per-aircraft observation tracking for cumulative fuel/CO2 estimates.
+
+Background
+----------
+The pre-existing emissions enrichment attached a *rate* to each flight
+(GPH and kg/hr) based on aircraft model. Users — reasonably — wanted the
+running total: how much fuel HAS this plane burned since we started
+seeing it? Multiplying the rate by elapsed observation time gets us
+there, but it requires somewhere to remember "when did this icao24
+first appear on our radar?"
+
+Why this lives outside ``flight_trails``
+----------------------------------------
+``flight_trails`` is sized and pruned aggressively for map rendering
+(5-minute TTL for untracked aircraft, 200 trail points max). That's
+wrong for cumulative burn: if a plane has been airborne 2 hours but
+its trail was pruned 30 min in, the "first trail point" timestamp is
+30 min ago, not 2h ago. Worse, when the trail expires and re-creates,
+the cumulative counter would reset mid-flight.
+
+This module tracks observation lifecycle separately:
+
+* When a hex is first observed: start a new flight session.
+* While observed regularly (gap < ``REOPEN_GAP_S``): keep accumulating.
+* When unseen for longer than ``REOPEN_GAP_S``: treat next sighting as
+  a new session (the plane landed and took off again, or it's a
+  different leg). Reset ``first_seen_at``.
+* Stale sessions are pruned every ``PRUNE_INTERVAL_S`` so memory stays
+  bounded.
+
+The user explicitly asked for this counting semantic: "as soon as a
+plane appears there should be a counter that keeps a running count of
+the fuel being burned... If there is no estimate take off time then it
+can just be from the time the server starts to keep a log of whats in
+the air."
+"""
+
+from __future__ import annotations
+
+import threading
+import time
+
+
+# Gap between sightings that resets the session. ADS-B refreshes the
+# whole aircraft list every minute or two, so anything over a few
+# minutes means the plane left our coverage window (landed, transit
+# through dead zone, etc). 15 minutes is conservative.
+REOPEN_GAP_S = 15 * 60
+
+# Don't accumulate runaway memory: drop entries unseen for an hour.
+PRUNE_AFTER_S = 60 * 60
+
+# Cap on accumulated airtime per session so a single bug elsewhere
+# (e.g. ts clock skew) can't produce comically large numbers.
+MAX_SESSION_SECONDS = 24 * 3600  # 24h — longest realistic civilian leg
+
+
+_observations: dict[str, dict[str, float]] = {}
+_lock = threading.Lock()
+_last_prune_at = 0.0
+
+
+def record_observation(icao_hex: str, *, now: float | None = None) -> int:
+    """Record a sighting of ``icao_hex`` and return airtime so far (seconds).
+
+    Returns 0 for the first-ever sighting (no elapsed time yet) or when
+    ``icao_hex`` is falsy. The caller can multiply the returned seconds
+    by ``rate_per_hour / 3600`` to get cumulative consumption.
+    """
+    if not icao_hex:
+        return 0
+    key = str(icao_hex).strip().lower()
+    if not key:
+        return 0
+    current = float(now if now is not None else time.time())
+
+    with _lock:
+        entry = _observations.get(key)
+        if entry is None:
+            _observations[key] = {"first_seen_at": current, "last_seen_at": current}
+            return 0
+        # Use explicit ``is None`` checks instead of ``or`` short-circuit:
+        # ``0.0`` is a legitimate timestamp value (e.g. test fixtures
+        # seeding a far-past first_seen_at to exercise the clamp) but
+        # ``0.0 or fallback`` collapses to ``fallback`` because 0.0 is
+        # falsy. Bit me on my own test — leaving the safer form here.
+        last_raw = entry.get("last_seen_at")
+        last_seen = float(last_raw) if last_raw is not None else current
+        gap = current - last_seen
+        if gap > REOPEN_GAP_S:
+            # Treat as a new flight session — the plane landed/disappeared
+            # long enough that the prior cumulative count is no longer
+            # the same flight.
+            _observations[key] = {"first_seen_at": current, "last_seen_at": current}
+            return 0
+        first_raw = entry.get("first_seen_at")
+        first = float(first_raw) if first_raw is not None else current
+        # Clamp absurd values from clock skew or bad input.
+        elapsed = max(0, min(int(current - first), MAX_SESSION_SECONDS))
+        entry["last_seen_at"] = current
+        return elapsed
+
+
+def prune(*, now: float | None = None) -> int:
+    """Drop entries we haven't seen in ``PRUNE_AFTER_S`` seconds.
+
+    Returns number of entries dropped. Safe to call from a scheduler tick;
+    cheap (single dict scan) so cadence doesn't matter much.
+    """
+    current = float(now if now is not None else time.time())
+    dropped = 0
+    with _lock:
+        stale_keys = []
+        for k, v in _observations.items():
+            last_raw = v.get("last_seen_at")
+            last = float(last_raw) if last_raw is not None else 0.0
+            if current - last > PRUNE_AFTER_S:
+                stale_keys.append(k)
+        for k in stale_keys:
+            del _observations[k]
+            dropped += 1
+    return dropped
+
+
+def get_session_seconds(icao_hex: str, *, now: float | None = None) -> int:
+    """Read-only accessor: airtime for a known icao without bumping last-seen.
+
+    Used by tests and external consumers (e.g. when rendering a snapshot
+    of all in-flight aircraft, you want the current value, not to update
+    last_seen_at as a side effect).
+    """
+    if not icao_hex:
+        return 0
+    key = str(icao_hex).strip().lower()
+    with _lock:
+        entry = _observations.get(key)
+        if entry is None:
+            return 0
+        current = float(now if now is not None else time.time())
+        first_raw = entry.get("first_seen_at")
+        first = float(first_raw) if first_raw is not None else current
+        return max(0, min(int(current - first), MAX_SESSION_SECONDS))
+
+
+def _reset_for_tests() -> None:
+    """Drop all observations. Test helper only."""
+    with _lock:
+        _observations.clear()
@@ -17,6 +17,7 @@ from services.network_utils import fetch_with_curl
 from services.fetchers._store import latest_data, _data_lock, _mark_fresh
 from services.fetchers.plane_alert import enrich_with_plane_alert, enrich_with_tracked_names
 from services.fetchers.emissions import get_emissions_info
+from services.fetchers.flight_observations import record_observation as _record_flight_observation
 from services.fetchers.retry import with_retry
 from services.fetchers.route_database import lookup_route
 from services.fetchers.aircraft_database import lookup_aircraft_type
@@ -601,6 +602,22 @@ def _classify_and_publish(all_adsb_flights):
        if model:
            emi = get_emissions_info(model)
            if emi:
+                # Cumulative fuel/CO2: multiply the per-hour rate by how
+                # long we've been observing this airframe. Users want to
+                # see the *amount* burned, not just the rate. If we've
+                # never seen this hex before, observed_seconds is 0 and
+                # the cumulative values are 0 until the next refresh —
+                # the rate is still useful info on its own.
+                observed_seconds = _record_flight_observation(
+                    f.get("icao24") or ""
+                )
+                elapsed_h = observed_seconds / 3600.0
+                emi = {
+                    **emi,
+                    "observed_seconds": observed_seconds,
+                    "fuel_gallons_burned": round(emi["fuel_gph"] * elapsed_h, 1),
+                    "co2_kg_emitted": round(emi["co2_kg_per_hour"] * elapsed_h, 1),
+                }
                f["emissions"] = emi

        callsign = f.get("callsign", "").strip().upper()
@@ -7,6 +7,7 @@ import requests
 from services.network_utils import fetch_with_curl
 from services.fetchers._store import latest_data, _data_lock, _mark_fresh
 from services.fetchers.emissions import get_emissions_info
+from services.fetchers.flight_observations import record_observation as _record_flight_observation
 from services.fetchers.plane_alert import enrich_with_plane_alert

 logger = logging.getLogger("services.data_fetcher")
@@ -300,6 +301,18 @@ def fetch_military_flights():
        if model:
            emissions = get_emissions_info(model)
            if emissions:
+                # Cumulative fuel/CO2 since first observation — mirrors
+                # the civilian path in flights._classify_and_publish.
+                observed_seconds = _record_flight_observation(
+                    mf.get("icao24") or ""
+                )
+                elapsed_h = observed_seconds / 3600.0
+                emissions = {
+                    **emissions,
+                    "observed_seconds": observed_seconds,
+                    "fuel_gallons_burned": round(emissions["fuel_gph"] * elapsed_h, 1),
+                    "co2_kg_emitted": round(emissions["co2_kg_per_hour"] * elapsed_h, 1),
+                }
                mf["emissions"] = emissions
        if mf.get("alert_category"):
            mf["type"] = "tracked_flight"
@@ -0,0 +1,258 @@
+"""Cumulative fuel/CO2 tracking via per-aircraft observation timestamps.
+
+Background
+----------
+Users want the running total of fuel burned per aircraft — not just the
+rate. We track first-seen-at per icao24 and multiply elapsed observation
+time by the model-based rate. This module's job is exclusively the
+timestamp bookkeeping; multiplication happens in the flights/military
+fetchers.
+
+These tests pin:
+
+  * First sighting returns 0 (no airtime yet).
+  * Repeated sightings within ``REOPEN_GAP_S`` accumulate elapsed time.
+  * Gap longer than ``REOPEN_GAP_S`` resets the session (plane landed
+    and took off again — different flight).
+  * ``MAX_SESSION_SECONDS`` clamp protects against clock skew bugs.
+  * ``prune()`` drops stale entries.
+  * ``get_session_seconds`` reads without bumping last_seen.
+  * Empty / None icao input is a defensive no-op.
+"""
+
+from __future__ import annotations
+
+import pytest
+
+
+@pytest.fixture(autouse=True)
+def _reset_observations():
+    from services.fetchers import flight_observations as obs
+    obs._reset_for_tests()
+    yield
+    obs._reset_for_tests()
+
+
+class TestRecordObservation:
+    def test_first_sighting_returns_zero(self):
+        from services.fetchers.flight_observations import record_observation
+        assert record_observation("a12345", now=1000.0) == 0
+
+    def test_repeated_sightings_accumulate(self):
+        """ADS-B refreshes every ~minute in practice, so each observation
+        is within ``REOPEN_GAP_S`` (15 min) of the last and we keep
+        accumulating. Walking the timestamps in 5-minute steps so we
+        stay inside the reopen window the whole way."""
+        from services.fetchers.flight_observations import record_observation
+        record_observation("a12345", now=1000.0)
+        # 1 minute later (within REOPEN_GAP_S)
+        assert record_observation("a12345", now=1060.0) == 60
+        # Step through 5-minute spaced refreshes — first_seen_at stays
+        # at 1000.0 the whole time, and we approach a 1-hour airtime.
+        assert record_observation("a12345", now=1360.0) == 360
+        assert record_observation("a12345", now=1660.0) == 660
+        assert record_observation("a12345", now=1960.0) == 960
+        assert record_observation("a12345", now=2260.0) == 1260
+        assert record_observation("a12345", now=2560.0) == 1560
+        assert record_observation("a12345", now=2860.0) == 1860
+        assert record_observation("a12345", now=3160.0) == 2160
+        assert record_observation("a12345", now=3460.0) == 2460
+        assert record_observation("a12345", now=3760.0) == 2760
+        assert record_observation("a12345", now=4060.0) == 3060
+        assert record_observation("a12345", now=4360.0) == 3360
+        # 1 hour after first sighting — still inside the 15-min reopen
+        # window from the prior 4360 observation.
+        assert record_observation("a12345", now=4600.0) == 3600
+
+    def test_gap_longer_than_reopen_resets_session(self):
+        """If a hex hasn't been seen in ``REOPEN_GAP_S`` (15 min default),
+        the next sighting is treated as a new flight — first_seen_at resets."""
+        from services.fetchers.flight_observations import record_observation
+        record_observation("a12345", now=1000.0)
+        record_observation("a12345", now=1500.0)  # 500s later — within gap
+        # Now 20 minutes of silence (1200s > 900s threshold) → session reset.
+        assert record_observation("a12345", now=2700.0) == 0
+        # And the next quick sighting starts accumulating from 2700 again.
+        assert record_observation("a12345", now=2760.0) == 60
+
+    def test_session_clamp(self):
+        """Clock skew protection: when a hex has been continuously
+        observed for longer than ``MAX_SESSION_SECONDS``, clamp.
+
+        Synthesizes the state directly because driving 86,400+ seconds of
+        observations through the public API in a test would take 1000+
+        REOPEN_GAP_S-respecting steps.
+        """
+        from services.fetchers import flight_observations as obs
+        from services.fetchers.flight_observations import _observations, _lock
+
+        # last_seen_at very recent so REOPEN_GAP_S branch does NOT fire,
+        # but first_seen_at way in the past so the elapsed math overflows
+        # MAX_SESSION_SECONDS. Clamp must kick in.
+        big_now = float(obs.MAX_SESSION_SECONDS + 1_000_000)
+        with _lock:
+            _observations["a12345"] = {
+                "first_seen_at": 0.0,
+                "last_seen_at": big_now - 60,  # 60s ago — well inside gap window
+            }
+        elapsed = obs.record_observation("a12345", now=big_now)
+        assert elapsed == obs.MAX_SESSION_SECONDS, (
+            f"elapsed must be clamped to MAX_SESSION_SECONDS; got {elapsed}"
+        )
+
+    def test_empty_input_returns_zero(self):
+        from services.fetchers.flight_observations import record_observation
+        assert record_observation("") == 0
+        assert record_observation(None) == 0  # type: ignore[arg-type]
+        assert record_observation("   ") == 0
+
+    def test_case_insensitive_key(self):
+        """ICAO24 hex codes are case-insensitive — adsb.lol lowercases
+        them, OpenSky may not. Normalize so both refer to the same airframe."""
+        from services.fetchers.flight_observations import record_observation
+        record_observation("A12345", now=1000.0)
+        # Different case must hit the same entry.
+        assert record_observation("a12345", now=1060.0) == 60
+
+
+class TestGetSessionSeconds:
+    def test_read_only_does_not_bump(self):
+        from services.fetchers.flight_observations import (
+            record_observation,
+            get_session_seconds,
+        )
+        record_observation("a12345", now=1000.0)
+        record_observation("a12345", now=1060.0)  # bumps last_seen
+
+        # Now read at t=2000. Without bumping, gap=2000-1060=940 > 900,
+        # so a recording call would reset. But the read should NOT reset.
+        seconds_at_2000 = get_session_seconds("a12345", now=2000.0)
+        assert seconds_at_2000 == 1000, (
+            f"read should return 2000-1000=1000s; got {seconds_at_2000}"
+        )
+        # Verify the next recording at t=2001 still resets (gap > 900s
+        # from the read above — proves the read didn't bump last_seen).
+        from services.fetchers.flight_observations import record_observation as rec
+        assert rec("a12345", now=2001.0) == 0  # session reset
+
+    def test_unknown_hex_returns_zero(self):
+        from services.fetchers.flight_observations import get_session_seconds
+        assert get_session_seconds("nonexistent") == 0
+
+
+class TestPrune:
+    def test_drops_stale_entries(self):
+        from services.fetchers import flight_observations as obs
+
+        obs.record_observation("active", now=10_000.0)
+        obs.record_observation("stale", now=1.0)
+
+        dropped = obs.prune(now=10_000.0)
+
+        assert dropped == 1
+        # Active entry survives:
+        assert obs.get_session_seconds("active", now=10_001.0) == 1
+        # Stale entry was dropped — next obs starts fresh:
+        assert obs.record_observation("stale", now=10_002.0) == 0
+
+    def test_no_op_when_nothing_stale(self):
+        from services.fetchers import flight_observations as obs
+        obs.record_observation("hex1", now=1000.0)
+        obs.record_observation("hex2", now=1000.0)
+
+        dropped = obs.prune(now=1500.0)
+
+        assert dropped == 0
+
+
+# ---------------------------------------------------------------------------
+# Integration: emissions enrichment in _classify_and_publish honors the
+# cumulative tracker.
+# ---------------------------------------------------------------------------
+
+
+class TestEmissionsCumulativeIntegration:
+    def _reset_store(self):
+        from services.fetchers._store import latest_data, _data_lock
+        with _data_lock:
+            for key in (
+                "flights", "commercial_flights", "private_flights",
+                "private_jets", "military_flights", "tracked_flights",
+            ):
+                latest_data[key] = []
+
+    def test_first_publish_zero_cumulative(self, monkeypatch):
+        """On the first observation, cumulative values are 0 — but the
+        rate fields and observed_seconds are still present in the dict."""
+        from services.fetchers import flights as flights_module
+        from services.fetchers._store import latest_data, _data_lock
+
+        self._reset_store()
+        monkeypatch.setattr(flights_module, "lookup_route", lambda _: None)
+        monkeypatch.setattr(flights_module, "lookup_aircraft_type", lambda _: "")
+
+        flights_module._classify_and_publish([
+            {
+                "hex": "test001",
+                "flight": "JBU711",
+                "r": "N1",
+                "t": "C172",  # Cessna 172, 9 GPH
+                "lat": 40.0,
+                "lon": -100.0,
+                "alt_baro": 3000,
+                "gs": 100,
+            }
+        ])
+
+        with _data_lock:
+            published = list(latest_data.get("flights", []))
+        assert len(published) == 1
+        emi = published[0].get("emissions")
+        assert emi is not None
+        assert emi["fuel_gph"] == 9
+        assert emi["observed_seconds"] == 0
+        assert emi["fuel_gallons_burned"] == 0.0
+        assert emi["co2_kg_emitted"] == 0.0
+
+    def test_second_publish_accumulates(self, monkeypatch):
+        """Publishing the same hex a second time picks up real elapsed time
+        and produces non-zero cumulative values."""
+        import time as _time_real
+        from services.fetchers import flights as flights_module
+        from services.fetchers import flight_observations as obs
+        from services.fetchers._store import latest_data, _data_lock
+
+        self._reset_store()
+        monkeypatch.setattr(flights_module, "lookup_route", lambda _: None)
+        monkeypatch.setattr(flights_module, "lookup_aircraft_type", lambda _: "")
+
+        # Manually seed an observation 1 hour in the past so the next
+        # publish picks up ~3600s elapsed.
+        with obs._lock:
+            obs._observations["test002"] = {
+                "first_seen_at": _time_real.time() - 3600,
+                "last_seen_at": _time_real.time() - 60,
+            }
+
+        flights_module._classify_and_publish([
+            {
+                "hex": "test002",
+                "flight": "JBU711",
+                "r": "N1",
+                "t": "C172",  # 9 GPH
+                "lat": 40.0,
+                "lon": -100.0,
+                "alt_baro": 3000,
+                "gs": 100,
+            }
+        ])
+
+        with _data_lock:
+            published = list(latest_data.get("flights", []))
+        assert len(published) == 1
+        emi = published[0].get("emissions")
+        # Roughly 1 hour observed → 9 gal burned.
+        assert 3500 <= emi["observed_seconds"] <= 3700
+        assert 8.7 <= emi["fuel_gallons_burned"] <= 9.3
+        # CO2 = 9 gph * 9.57 kg/gal = 86.1 kg/hr.
+        assert 84 <= emi["co2_kg_emitted"] <= 88
@@ -249,34 +249,70 @@ const VESSEL_TYPE_WIKI: Record<string, string> = {

 type FlightTrailPoint = { lat?: number; lng?: number; alt?: number; ts?: number } | number[];

+function formatObservedDuration(seconds: number): string {
+    // Compact "1h 14m" / "23m" / "45s" — matches the density of the rest
+    // of the flight tooltip. < 60s is shown as "<1m" so the user knows
+    // we've JUST started observing this hex (cumulative will still be 0).
+    if (!Number.isFinite(seconds) || seconds <= 0) return '<1m';
+    if (seconds < 60) return '<1m';
+    const totalMinutes = Math.floor(seconds / 60);
+    const hours = Math.floor(totalMinutes / 60);
+    const minutes = totalMinutes % 60;
+    if (hours > 0) return `${hours}h ${minutes}m`;
+    return `${minutes}m`;
+}
+
 function EmissionsEstimateBlock({ flight }: { flight: any }) {
    const emissions = flight?.emissions;
-    const context = emissions ? 'Model-based cruise estimate' : null;
+    // Cumulative fuel/CO2 since the backend first saw this hex this
+    // flight session. Prefer these big numbers — the user explicitly
+    // wanted "the actual fuel that has been burned", not the rate.
+    // Rates are still shown below as smaller context.
+    const observedSec = Number(emissions?.observed_seconds ?? 0);
+    const fuelBurned = Number(emissions?.fuel_gallons_burned ?? 0);
+    const co2Emitted = Number(emissions?.co2_kg_emitted ?? 0);
+    const haveCumulative = emissions && observedSec > 0;

    return (
        <div className="border-b border-[var(--border-primary)] pb-2">
            <span className="text-[var(--text-muted)] text-[10px] block mb-1.5">EMISSIONS ESTIMATE</span>
            <div className="flex gap-3">
                <div className="flex-1 bg-[var(--bg-primary)]/50 border border-[var(--border-primary)] px-2 py-1.5">
-                    <div className="text-[11px] text-[var(--text-muted)] tracking-widest">FUEL RATE</div>
-                    <div className="text-xs font-bold text-orange-400">
-                        {emissions ? (
-                            <>{emissions.fuel_gph} <span className="text-[11px] text-[var(--text-muted)] font-normal">GPH</span></>
+                    <div className="text-[11px] text-[var(--text-muted)] tracking-widest">FUEL BURNED</div>
+                    <div className="text-sm font-bold text-orange-400">
+                        {haveCumulative ? (
+                            <>{fuelBurned.toLocaleString(undefined, { maximumFractionDigits: 1 })} <span className="text-[11px] text-[var(--text-muted)] font-normal">gal</span></>
+                        ) : emissions ? (
+                            <span className="text-[var(--text-muted)] font-normal text-xs">—</span>
                        ) : 'UNKNOWN'}
                    </div>
+                    {emissions && (
+                        <div className="text-[10px] text-[var(--text-muted)] mt-0.5">
+                            @ {emissions.fuel_gph} gph
+                        </div>
+                    )}
                </div>
                <div className="flex-1 bg-[var(--bg-primary)]/50 border border-[var(--border-primary)] px-2 py-1.5">
-                    <div className="text-[11px] text-[var(--text-muted)] tracking-widest">CO2 RATE</div>
-                    <div className="text-xs font-bold text-red-400">
-                        {emissions ? (
-                            <>{emissions.co2_kg_per_hour.toLocaleString()} <span className="text-[11px] text-[var(--text-muted)] font-normal">KG/HR</span></>
+                    <div className="text-[11px] text-[var(--text-muted)] tracking-widest">CO2 EMITTED</div>
+                    <div className="text-sm font-bold text-red-400">
+                        {haveCumulative ? (
+                            <>{co2Emitted.toLocaleString(undefined, { maximumFractionDigits: 1 })} <span className="text-[11px] text-[var(--text-muted)] font-normal">kg</span></>
+                        ) : emissions ? (
+                            <span className="text-[var(--text-muted)] font-normal text-xs">—</span>
                        ) : 'UNKNOWN'}
                    </div>
+                    {emissions && (
+                        <div className="text-[10px] text-[var(--text-muted)] mt-0.5">
+                            @ {emissions.co2_kg_per_hour.toLocaleString()} kg/hr
+                        </div>
+                    )}
                </div>
            </div>
-            {context && (
+            {emissions && (
                <div className="mt-1.5 text-[10px] text-[var(--text-muted)] leading-relaxed">
-                    {context}
+                    {haveCumulative
+                        ? `Observed in flight for ${formatObservedDuration(observedSec)} · model-based cruise estimate`
+                        : 'Just observed · totals will appear on next refresh'}
                </div>
            )}
        </div>