58c30b7273
First sub-project of the "make contact feel real" arc (spec: docs/superpowers/specs/2026-07-23-possession-presentation-design.md). Direct Contact replies now feel like a spirit fighting through static to hold the channel rather than a plain chat bubble: - backend/app/possession.py: compute_stability(rarity, magnitude, rng) — a 0.05-0.98 score per reply (rarer entity + stronger triggering anomaly = cleaner signal), rng injectable for a later quantum-RNG source. - ws.py sends stability on reply_start; audio synthesis for that reply gets noise/bitcrush scaled by instability (1 - stability) via a new instability param on synthesize_spirit_voice — effects.py itself is untouched, only the params fed into it. - frontend/src/lib/possession.ts: renderPossessedText — pure, deterministic (tick-seeded, no Math.random) text corruption with self-correcting glitch bursts, wired into Transcript.tsx's streaming reply display. Stored transcript/reply text is unaffected — this is presentation only. 78/78 backend, 137/137 frontend tests passing.
70 lines
2.6 KiB
Python
70 lines
2.6 KiB
Python
from app.possession import compute_stability
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def test_rarity_ordering_holds_magnitude_and_rng_constant():
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# Midpoint rng (0.5) zeroes out jitter, isolating the rarity base.
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rng = lambda: 0.5
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common = compute_stability("common", magnitude=50, rng=rng)
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uncommon = compute_stability("uncommon", magnitude=50, rng=rng)
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rare = compute_stability("rare", magnitude=50, rng=rng)
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mythic = compute_stability("mythic", magnitude=50, rng=rng)
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assert common < uncommon < rare < mythic
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def test_unknown_rarity_falls_back_to_common_base():
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rng = lambda: 0.5
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assert compute_stability("legendary???", magnitude=50, rng=rng) == compute_stability(
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"common", magnitude=50, rng=rng
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)
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def test_magnitude_bonus_increases_stability_up_to_cap():
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rng = lambda: 0.5
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low = compute_stability("common", magnitude=0, rng=rng)
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mid = compute_stability("common", magnitude=10, rng=rng)
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high = compute_stability("common", magnitude=1000, rng=rng)
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assert low < mid < high
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# Bonus caps at 0.15, so magnitude=15 and magnitude=1000 must land the
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# same once base and jitter are held constant.
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at_cap = compute_stability("common", magnitude=15, rng=rng)
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past_cap = compute_stability("common", magnitude=1000, rng=rng)
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assert at_cap == past_cap
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def test_jitter_scaled_to_plus_minus_point_one():
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# rng()=0 -> minimum jitter (-0.1); rng()=1 -> maximum jitter (+0.1).
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base = 0.35 # common base
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low_jitter = compute_stability("common", magnitude=0, rng=lambda: 0.0)
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high_jitter = compute_stability("common", magnitude=0, rng=lambda: 1.0)
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assert low_jitter == max(0.05, base - 0.1)
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assert high_jitter == min(0.98, base + 0.1)
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def test_clamped_at_lower_bound():
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# common base 0.35 minus full jitter (0.1) minus nothing else is 0.25,
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# comfortably above the floor -- force the floor with a negative-leaning
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# setup instead: rarity base + jitter alone can't go below 0.05, but the
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# clamp itself must still be exercised directly via a pathological rng.
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stability = compute_stability("common", magnitude=0, rng=lambda: -100.0)
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assert stability == 0.05
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def test_clamped_at_upper_bound():
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stability = compute_stability("mythic", magnitude=1000, rng=lambda: 100.0)
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assert stability == 0.98
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def test_deterministic_with_injected_rng():
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rng = lambda: 0.73
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first = compute_stability("rare", magnitude=42, rng=rng)
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second = compute_stability("rare", magnitude=42, rng=rng)
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assert first == second
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def test_default_rng_produces_value_in_range():
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stability = compute_stability("uncommon", magnitude=25)
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assert 0.05 <= stability <= 0.98
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