Files
Shadowbroker/backend/tests/test_uap_hf_fallback_cutoff.py
T
BigBodyCobain 3ac8442e4b fix(uap): weekly live NUFORC refresh with 7-day cache for operators
Each install pulls ~60-day sightings from nuforc.org every Monday; disk cache
matches weekly cadence so users keep current pins between restarts.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-03 18:41:28 -06:00

265 lines
11 KiB
Python

"""HF NUFORC fallback honors the rolling cutoff window.
Background
----------
The UAP sightings layer is sourced primarily from a live scrape of
nuforc.org. When that fails (Cloudflare 403, curl disabled on Windows,
wdtNonce regex stale, etc.) the code falls back to a static CSV mirror
hosted on Hugging Face at ``kcimc/NUFORC/nuforc_str.csv``.
The HF mirror is maintained by a third party and refreshed sporadically.
Pre-fix, the fallback parsed every row, sorted by ``occurred`` descending,
and took the top 250 — **with no date cutoff**. When the HF mirror is
stale (its "newest" rows are ~2-3 years old), users saw a map full of
2022-2023 sightings labeled as the "last 60 days" layer.
These tests pin the new behavior:
* Rows older than ``_NUFORC_RECENT_DAYS`` are dropped before the take-top-N.
* If the HF mirror has nothing in the window, the fallback returns ``[]``
and logs ERROR (don't silently serve stale data).
* ``fetch_uap_sightings`` records the failure when BOTH paths fail, so
the layer shows as broken in the health registry instead of "fresh".
"""
from __future__ import annotations
import json
import logging
from datetime import datetime as real_datetime
class _FixedDateTime(real_datetime):
"""A datetime whose utcnow() returns a pinned value, for deterministic
cutoff math. Subclasses real datetime so existing operations still work."""
@classmethod
def utcnow(cls):
return cls(2026, 5, 1, 12, 0, 0)
class _StubResponse:
status_code = 200
def __init__(self, text: str):
self.text = text
def _stub_geocode_cache(*_args, **_kwargs):
"""Pre-populated location cache so the fallback doesn't try to hit
Photon during the test."""
return {
"Denver, CO, USA": [39.7392, -104.9903],
"Seattle, WA, USA": [47.6062, -122.3321],
"Phoenix, AZ, USA": [33.4484, -112.0740],
}
def test_hf_fallback_drops_rows_older_than_60_days(monkeypatch):
"""Pre-fix: a row from 2023 would make it into the layer if it was
among the newest 250 in the HF mirror. Post-fix: it's filtered out
before we even count to 250."""
from services.fetchers import earth_observation as eo
# 2026-05-01 - 60 days = 2026-03-02. So 2026-03-01 is one day too old.
csv_text = (
"Sighting,Occurred,Location,Shape,Duration,Posted,Summary\n"
'1,2026-04-15 21:00:00 Local,"Denver, CO, USA",Triangle,5 minutes,2026-04-16,"In-window sighting"\n'
'2,2023-06-01 21:00:00 Local,"Seattle, WA, USA",Light,30 seconds,2023-06-02,"Three years old"\n'
'3,2022-01-15 20:00:00 Local,"Phoenix, AZ, USA",Disk,2 minutes,2022-01-16,"Even older"\n'
)
monkeypatch.setattr(eo, "datetime", _FixedDateTime)
monkeypatch.setattr(eo, "fetch_with_curl", lambda *a, **kw: _StubResponse(csv_text))
monkeypatch.setattr(eo, "_load_nuforc_location_cache", _stub_geocode_cache)
monkeypatch.setattr(eo, "_save_nuforc_location_cache", lambda cache: None)
# If the cutoff is missing, the geocoder may still get called for the
# 2022/2023 rows. We assert geocoder is NEVER invoked for stale rows.
geocode_calls: list[str] = []
def _geocode_spy(location, city, state, country=""):
geocode_calls.append(location)
return None # already in cache, shouldn't be hit anyway
monkeypatch.setattr(eo, "_geocode_uap_location", _geocode_spy)
sightings = eo._build_uap_sightings_from_hf_mirror()
ids = [s["id"] for s in sightings]
assert ids == ["NUFORC-1"], f"only the 2026 row should survive: got {ids}"
# Stale rows must not have been geocoded — they should be dropped
# before the geocoding loop is reached.
assert geocode_calls == []
def test_hf_fallback_returns_empty_when_mirror_is_fully_stale(monkeypatch, caplog):
"""The smoking-gun case: the HF mirror is so stale that NO rows are
within the rolling window. Pre-fix returned 250 ancient rows. Post-fix
returns ``[]`` and logs ERROR so the operator knows the layer is dead."""
from services.fetchers import earth_observation as eo
csv_text = (
"Sighting,Occurred,Location,Shape,Duration,Posted,Summary\n"
'1,2023-04-15 21:00:00 Local,"Denver, CO, USA",Triangle,5 minutes,2023-04-16,"Old"\n'
'2,2022-06-01 21:00:00 Local,"Seattle, WA, USA",Light,30 seconds,2022-06-02,"Older"\n'
'3,2021-01-15 20:00:00 Local,"Phoenix, AZ, USA",Disk,2 minutes,2021-01-16,"Ancient"\n'
)
monkeypatch.setattr(eo, "datetime", _FixedDateTime)
monkeypatch.setattr(eo, "fetch_with_curl", lambda *a, **kw: _StubResponse(csv_text))
monkeypatch.setattr(eo, "_load_nuforc_location_cache", _stub_geocode_cache)
monkeypatch.setattr(eo, "_save_nuforc_location_cache", lambda cache: None)
monkeypatch.setattr(eo, "_geocode_uap_location", lambda *a, **kw: None)
with caplog.at_level(logging.ERROR, logger="services.fetchers.earth_observation"):
sightings = eo._build_uap_sightings_from_hf_mirror()
assert sightings == []
# The error log should mention how many stale rows were dropped so the
# operator can tell the mirror is the problem (not "we got 0 rows" which
# could also mean the download failed).
relevant = [r for r in caplog.records if "HF fallback yielded 0 rows" in r.getMessage()]
assert relevant, "expected loud ERROR when HF mirror is fully stale"
# The message should report the count of dropped stale rows.
assert any("dropped 3" in r.getMessage() for r in relevant)
def test_hf_fallback_still_returns_data_when_some_rows_are_in_window(monkeypatch):
"""Mixed-age mirror: some rows in the window, some not. The fallback
should return only the in-window rows and not log the doomsday ERROR."""
from services.fetchers import earth_observation as eo
csv_text = (
"Sighting,Occurred,Location,Shape,Duration,Posted,Summary\n"
'1,2026-04-15 21:00:00 Local,"Denver, CO, USA",Triangle,5 minutes,2026-04-16,"Fresh"\n'
'2,2026-04-10 21:00:00 Local,"Seattle, WA, USA",Light,30 seconds,2026-04-10,"Also fresh"\n'
'3,2020-01-15 20:00:00 Local,"Phoenix, AZ, USA",Disk,2 minutes,2020-01-16,"Ancient"\n'
)
monkeypatch.setattr(eo, "datetime", _FixedDateTime)
monkeypatch.setattr(eo, "fetch_with_curl", lambda *a, **kw: _StubResponse(csv_text))
monkeypatch.setattr(eo, "_load_nuforc_location_cache", _stub_geocode_cache)
monkeypatch.setattr(eo, "_save_nuforc_location_cache", lambda cache: None)
monkeypatch.setattr(eo, "_geocode_uap_location", lambda *a, **kw: None)
sightings = eo._build_uap_sightings_from_hf_mirror()
ids = sorted(s["id"] for s in sightings)
assert ids == ["NUFORC-1", "NUFORC-2"], f"only in-window rows should appear: got {ids}"
def test_fetch_uap_sightings_marks_failure_when_both_paths_empty(monkeypatch, caplog):
"""When the live path raises AND the HF fallback returns empty,
``fetch_uap_sightings`` must:
* NOT mark the layer fresh (pre-fix bug: it did, so the layer
showed as healthy-but-empty for days)
* call ``assert_canary("uap_sightings", 0)`` so the health
registry surfaces the broken layer
* log an ERROR with the live-path exception for debugging
"""
from services.fetchers import earth_observation as eo
from services.fetchers import _store
monkeypatch.setattr(_store, "is_any_active", lambda layer: True)
monkeypatch.setattr(eo, "_load_nuforc_sightings_cache", lambda force_refresh=False: None)
def _boom():
raise RuntimeError("NUFORC live: zero rows pulled across 3 months")
monkeypatch.setattr(eo, "_build_recent_uap_sightings", _boom)
monkeypatch.setattr(eo, "_build_uap_sightings_from_hf_mirror", lambda: [])
marked: list[str] = []
monkeypatch.setattr(eo, "_mark_fresh", lambda *keys: marked.extend(keys))
canary_calls: list[tuple[str, int]] = []
import services.slo as slo
monkeypatch.setattr(
slo, "assert_canary", lambda key, value: canary_calls.append((key, int(value)))
)
with caplog.at_level(logging.ERROR, logger="services.fetchers.earth_observation"):
eo.fetch_uap_sightings()
assert marked == [], "broken layer must NOT be marked fresh"
assert canary_calls == [("uap_sightings", 0)], (
f"expected canary trip when both paths fail; got {canary_calls}"
)
# The live error message should propagate into the error log so the
# operator can tell live failed AND fallback was empty (not the other
# way around).
assert any(
"both live NUFORC and HF fallback" in r.getMessage()
for r in caplog.records
)
def test_fetch_uap_sightings_succeeds_when_fallback_returns_data(monkeypatch):
"""Positive path: live fails, fallback returns rows. The layer is
populated and marked fresh; assert_canary is NOT tripped (we only
trip the canary when the layer has zero data)."""
from services.fetchers import earth_observation as eo
from services.fetchers import _store
monkeypatch.setattr(_store, "is_any_active", lambda layer: True)
monkeypatch.setattr(eo, "_load_nuforc_sightings_cache", lambda force_refresh=False: None)
monkeypatch.setattr(
eo, "_build_recent_uap_sightings", lambda: (_ for _ in ()).throw(RuntimeError("live down"))
)
fallback_rows = [{"id": "NUFORC-fb-1", "date_time": "2026-04-20", "lat": 0.0, "lng": 0.0}]
monkeypatch.setattr(eo, "_build_uap_sightings_from_hf_mirror", lambda: fallback_rows)
monkeypatch.setattr(eo, "_save_nuforc_sightings_cache", lambda s: None)
marked: list[str] = []
monkeypatch.setattr(eo, "_mark_fresh", lambda *keys: marked.extend(keys))
canary_calls: list[tuple[str, int]] = []
import services.slo as slo
monkeypatch.setattr(
slo, "assert_canary", lambda key, value: canary_calls.append((key, int(value)))
)
eo.fetch_uap_sightings()
assert marked == ["uap_sightings"]
assert canary_calls == [], "canary should not trip when fallback supplies data"
def test_uap_scheduler_runs_weekly():
"""UAP layer refreshes weekly so each install pulls live NUFORC on a steady cadence."""
from services import data_fetcher
with open(data_fetcher.__file__, "r", encoding="utf-8") as f:
text = f.read()
assert "uap_sightings_weekly" in text
idx = text.index("uap_sightings_weekly")
block = text[max(0, idx - 600) : idx + 120]
assert 'day_of_week="mon"' in block
def test_uap_cache_rejects_stale_rows_on_load(tmp_path, monkeypatch):
"""Disk cache must not resurrect sightings outside the rolling window."""
from services.fetchers import earth_observation as eo
cache_file = tmp_path / "nuforc_recent_sightings.json"
monkeypatch.setattr(eo, "_NUFORC_SIGHTINGS_CACHE_FILE", cache_file)
monkeypatch.setattr(eo, "datetime", _FixedDateTime)
cache_file.write_text(
json.dumps({
"built": _FixedDateTime.utcnow().isoformat(),
"cutoff_days": 60,
"sightings": [
{"id": "NUFORC-old", "date_time": "2023-06-01", "lat": 39.0, "lng": -105.0},
{"id": "NUFORC-new", "date_time": "2026-04-20", "lat": 40.0, "lng": -104.0},
],
}),
encoding="utf-8",
)
loaded = eo._load_nuforc_sightings_cache()
assert loaded is not None
assert [s["id"] for s in loaded] == ["NUFORC-new"]