mirror of
https://github.com/BigBodyCobain/Shadowbroker.git
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anoracleofra-code
668ce16dc7
Gate messages now propagate via the Infonet hashchain as encrypted blobs — every node syncs them through normal chain sync while only Gate members with MLS keys can decrypt. Added mesh reputation system, peer push workers, voluntary Wormhole opt-in for node participation, fork recovery, killwormhole scripts, obfuscated terminology, and hardened the self-updater to protect encryption keys and chain state during updates. New features: Shodan search, train tracking, Sentinel Hub imagery, 8 new intelligence layers, CCTV expansion to 11,000+ cameras across 6 countries, Mesh Terminal CLI, prediction markets, desktop-shell scaffold, and comprehensive mesh test suite (215 frontend + backend tests passing). Community contributors: @wa1id, @AlborzNazari, @adust09, @Xpirix, @imqdcr, @csysp, @suranyami, @chr0n1x, @johan-martensson, @singularfailure, @smithbh, @OrfeoTerkuci, @deuza, @tm-const, @Elhard1, @ttulttul
151 lines
4.1 KiB
Python
151 lines
4.1 KiB
Python
from services.fetchers import trains as train_fetcher
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from services.fetchers._store import _data_lock, latest_data
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def setup_function():
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train_fetcher._TRAIN_TRACK_CACHE.clear()
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with _data_lock:
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latest_data["trains"] = []
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def test_merge_nonredundant_trains_prefers_higher_priority_source_and_backfills_fields():
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lower_fidelity = train_fetcher._normalize_train(
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source="amtrak",
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raw_id="AMTK-8",
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number="8",
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lat=40.0000,
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lng=-75.0000,
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route="New York -> Chicago",
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status="On Time",
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operator="Shared Rail",
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country="US",
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observed_at="2026-03-22T18:00:00Z",
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)
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higher_fidelity = train_fetcher._normalize_train(
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source="digitraffic",
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raw_id="FIN-8",
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number="8",
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lat=40.0080,
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lng=-75.0020,
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speed_kmh=128.4,
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status="Active",
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operator="Shared Rail",
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country="US",
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observed_at="2026-03-22T18:00:05Z",
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)
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merged = train_fetcher._merge_nonredundant_trains([lower_fidelity], [higher_fidelity])
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assert len(merged) == 1
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train = merged[0]
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assert train["source"] == "digitraffic"
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assert train["speed_kmh"] == 128.4
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assert train["route"] == "New York -> Chicago"
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assert train["source_label"] == "Digitraffic Finland"
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def test_motion_estimates_infer_speed_and_heading_from_previous_position():
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first = train_fetcher._normalize_train(
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source="amtrak",
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raw_id="AMTK-14",
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number="14",
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lat=40.0000,
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lng=-75.0000,
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observed_at=1_000,
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)
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assert first is not None
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second = train_fetcher._normalize_train(
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source="amtrak",
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raw_id="AMTK-14",
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number="14",
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lat=40.0000,
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lng=-74.9900,
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observed_at=1_060,
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)
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assert second is not None
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assert second["speed_kmh"] is not None
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assert 40.0 <= second["speed_kmh"] <= 80.0
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assert second["heading"] is not None
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assert 80.0 <= second["heading"] <= 100.0
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def test_fetch_trains_merges_sources_into_store(monkeypatch):
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def _batch_one():
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return [
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train_fetcher._normalize_train(
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source="amtrak",
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raw_id="AMTK-22",
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number="22",
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lat=41.0000,
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lng=-87.0000,
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route="Chicago -> St. Louis",
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operator="Shared Rail",
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country="US",
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observed_at="2026-03-22T19:00:00Z",
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)
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]
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def _batch_two():
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return [
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train_fetcher._normalize_train(
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source="digitraffic",
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raw_id="FIN-22",
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number="22",
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lat=41.0040,
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lng=-87.0010,
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speed_kmh=96.0,
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operator="Shared Rail",
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country="US",
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observed_at="2026-03-22T19:00:05Z",
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)
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]
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monkeypatch.setattr(
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train_fetcher,
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"_TRAIN_FETCHERS",
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(("amtrak", _batch_one), ("digitraffic", _batch_two)),
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)
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train_fetcher.fetch_trains()
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with _data_lock:
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trains = list(latest_data["trains"])
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assert len(trains) == 1
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assert trains[0]["source"] == "digitraffic"
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assert trains[0]["route"] == "Chicago -> St. Louis"
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assert trains[0]["speed_kmh"] == 96.0
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def test_fetch_trains_preserves_last_good_snapshot_when_refresh_fails(monkeypatch):
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with _data_lock:
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latest_data["trains"] = [
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{
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"id": "AMTK-1",
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"name": "Sunset Limited",
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"number": "1",
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"source": "amtrak",
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"lat": 32.33,
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"lng": -109.76,
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"speed_kmh": None,
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"heading": None,
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"status": "On Time",
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"route": "New Orleans -> Los Angeles",
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}
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]
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monkeypatch.setattr(
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train_fetcher,
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"_TRAIN_FETCHERS",
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(("amtrak", lambda: []), ("digitraffic", lambda: [])),
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)
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train_fetcher.fetch_trains()
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with _data_lock:
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trains = list(latest_data["trains"])
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assert len(trains) == 1
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assert trains[0]["id"] == "AMTK-1"
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