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https://github.com/BigBodyCobain/Shadowbroker.git
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BigBodyCobain
129 lines
4.6 KiB
Python
129 lines
4.6 KiB
Python
"""Sprint 3 — easy-bet farming detection + enforcement.
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Maps to IMPLEMENTATION_PLAN.md §1.2: "Farming detection (`farming_pct`)
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... NEEDS penalty enforcement (60%/80% thresholds)."
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"""
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from __future__ import annotations
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from services.infonet.config import CONFIG
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from services.infonet.reputation import compute_oracle_rep
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from services.infonet.reputation.anti_gaming import (
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compute_farming_pct,
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farming_multiplier,
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)
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from services.infonet.tests._chain_factory import make_event, make_market_chain
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def _free_pred(market_id: str, node_id: str, side: str, prob: float, ts: float, seq: int) -> dict:
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return make_event(
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"prediction_place", node_id,
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{"market_id": market_id, "side": side, "probability_at_bet": prob},
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timestamp=ts, sequence=seq,
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)
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def test_no_predictions_means_zero_farming():
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assert compute_farming_pct("alice", []) == 0.0
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def test_all_easy_bets_pct_is_one():
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"""Every prediction at 90% on the picked side → farming_pct = 1.0."""
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chain = [
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_free_pred("m1", "alice", "yes", 90.0, ts=100.0, seq=1),
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_free_pred("m2", "alice", "yes", 95.0, ts=200.0, seq=2),
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_free_pred("m3", "alice", "yes", 88.0, ts=300.0, seq=3),
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]
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assert compute_farming_pct("alice", chain) == 1.0
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def test_no_easy_bets_pct_is_zero():
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"""50/50 picks are not easy bets."""
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chain = [
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_free_pred("m1", "alice", "yes", 50.0, ts=100.0, seq=1),
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_free_pred("m2", "alice", "no", 50.0, ts=200.0, seq=2),
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]
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assert compute_farming_pct("alice", chain) == 0.0
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def test_picked_side_probability_handles_no_pick():
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"""A no-pick at p_yes=10 means picked-side probability is 90 → easy bet."""
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chain = [
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_free_pred("m1", "alice", "no", 10.0, ts=100.0, seq=1),
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]
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# picked side = no → P(no) = 100 - 10 = 90 > 80 cutoff → easy.
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assert compute_farming_pct("alice", chain) == 1.0
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def test_contrarian_prediction_is_not_easy():
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"""A 'yes' at p_yes=10 (going against the chain consensus) is the
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opposite of farming."""
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chain = [
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_free_pred("m1", "alice", "yes", 10.0, ts=100.0, seq=1),
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]
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assert compute_farming_pct("alice", chain) == 0.0
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def test_farming_multiplier_below_soft_threshold_is_full():
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soft = float(CONFIG["farming_soft_threshold"])
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assert farming_multiplier(soft - 0.01) == 1.0
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assert farming_multiplier(0.0) == 1.0
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def test_farming_multiplier_in_soft_band_is_half():
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soft = float(CONFIG["farming_soft_threshold"])
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hard = float(CONFIG["farming_hard_threshold"])
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assert farming_multiplier((soft + hard) / 2.0) == 0.50
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def test_farming_multiplier_above_hard_threshold_is_tenth():
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hard = float(CONFIG["farming_hard_threshold"])
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assert farming_multiplier(hard + 0.001) == 0.10
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assert farming_multiplier(1.0) == 0.10
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def test_oracle_rep_with_high_farming_is_reduced_to_ten_percent():
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"""Integration: a node whose ALL free picks are easy bets gets 10%
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of normal mint when those picks resolve correctly.
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"""
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base = 1_000_000.0
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chain = []
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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": 90.0}],
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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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chain += make_market_chain(
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"m2", "creator", outcome="yes",
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predictions=[{"node_id": "alice", "side": "yes", "probability_at_bet": 92.0}],
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base_ts=base + 100_000,
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participants=5, total_stake=10.0,
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)
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# alice has 100% easy bets → 10% multiplier.
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# Each market mint without farming: max(0.01, 1 - 0.90) = 0.10 and 0.08
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# Both correct. Total without farming = 0.18. With 10% farming = 0.018.
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rep = compute_oracle_rep("alice", chain)
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assert abs(rep - 0.018) < 1e-9
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def test_staked_predictions_NOT_farming_penalized():
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"""Spec semantics: farming applies to free picks, not staked
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positions where the farmer is risking actual rep."""
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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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# alice's only prediction is a STAKED easy bet — picked-side prob 92%.
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{"node_id": "alice", "side": "yes", "stake_amount": 10.0,
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"probability_at_bet": 92.0},
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{"node_id": "loser", "side": "no", "stake_amount": 10.0,
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"probability_at_bet": 92.0},
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],
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base_ts=base, participants=5, total_stake=20.0,
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)
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# alice has 1/1 easy bets → farming_pct = 1.0 → 10% multiplier on FREE picks only.
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# Her staked return is unmultiplied: 20.0 (stake 10 + 10 from loser pool).
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rep = compute_oracle_rep("alice", chain)
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assert rep == 20.0
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