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BigBodyCobain
96 lines
3.3 KiB
Python
96 lines
3.3 KiB
Python
"""Sprint 2 — InfonetReputationAdapter end-to-end coverage.
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The adapter is the integration boundary every later sprint will extend.
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Sprint 2 wires it to the pure functions in ``services/infonet/reputation/``.
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"""
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from __future__ import annotations
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from services.infonet.adapters.reputation_adapter import InfonetReputationAdapter
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from services.infonet.tests._chain_factory import make_event, make_market_chain
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def test_adapter_zero_rep_for_unknown_node():
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a = InfonetReputationAdapter(lambda: [])
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assert a.oracle_rep("nobody") == 0.0
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assert a.common_rep("nobody") == 0.0
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assert a.oracle_rep_lifetime("nobody") == 0.0
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def test_adapter_oracle_rep_breakdown_components():
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base = 1_000_000.0
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chain = make_market_chain(
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"m1", "creator", outcome="yes",
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predictions=[
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{"node_id": "alice", "side": "yes", "stake_amount": 10.0},
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{"node_id": "bob", "side": "no", "stake_amount": 10.0},
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],
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base_ts=base,
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participants=5, total_stake=20.0,
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)
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a = InfonetReputationAdapter(lambda: chain)
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bd = a.oracle_rep_breakdown("alice")
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assert bd.staked_prediction_returns == 20.0
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assert bd.staked_prediction_losses == 0.0
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assert bd.total == 20.0
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def test_adapter_uses_chain_majority_time_for_decay():
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base = 1_000_000.0
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chain = make_market_chain(
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"m1", "creator", outcome="yes",
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predictions=[{"node_id": "alice", "side": "yes", "probability_at_bet": 30.0}],
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base_ts=base,
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participants=5, total_stake=10.0,
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)
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# Add many recent events from distinct nodes to drive chain_majority_time
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# well beyond the decay window.
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later = base + 86400.0 * 200 # 200 days past finalize
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for i in range(11):
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chain.append(make_event(
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"uprep", f"chatter{i}",
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{"target_node_id": "alice", "target_event_id": f"e{i}"},
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timestamp=later + i, sequence=1,
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))
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a = InfonetReputationAdapter(lambda: chain)
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base_balance = a.oracle_rep("alice")
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active = a.oracle_rep_active("alice")
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# Within 0–90 days: full weight. After 90: factor 0.5. After 180: 0.25.
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# 200 days → 2 periods → 0.25.
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assert active < base_balance
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def test_adapter_decay_factor_helper_exposes_zero_for_unknown_node():
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a = InfonetReputationAdapter(lambda: [])
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assert a.decay_factor("nobody") == 0.0
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def test_adapter_last_successful_prediction_ts():
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base = 1_000_000.0
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chain = make_market_chain(
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"m1", "creator", outcome="yes",
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predictions=[{"node_id": "alice", "side": "yes", "probability_at_bet": 30.0}],
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base_ts=base,
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participants=5, total_stake=10.0,
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)
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a = InfonetReputationAdapter(lambda: chain)
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ts = a.last_successful_prediction_ts("alice")
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assert ts is not None and ts >= base
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def test_adapter_callable_chain_provider_is_invoked_per_call():
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"""Adapter must NOT cache the chain — fresh evaluation each call so
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new events show up. Caching at the adapter is a Sprint 3+ concern."""
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snapshot_calls = {"n": 0}
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chain: list[dict] = []
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def provider():
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snapshot_calls["n"] += 1
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return list(chain)
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a = InfonetReputationAdapter(provider)
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a.oracle_rep("x")
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a.common_rep("x")
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a.oracle_rep_lifetime("x")
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assert snapshot_calls["n"] == 3
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