tests/test_kyrexis.py

"""KYREXIS AI module tests — core, skills, messenger, photonic, particle, progression."""

import asyncio
import sys
from pathlib import Path

import pytest

ROOT = Path(__file__).resolve().parent.parent
sys.path.insert(0, str(ROOT))


def _core():
    from kyrexis.core import KyrexisCore

    return KyrexisCore().initialize()


# ── Core ──────────────────────────────────────────────────────────────────
def test_core_anchor_values():
    c = _core()
    s = c.get_state()
    assert s["quantum_qubits"] == 53
    assert s["entanglement_pairs"] == 847
    assert abs(s["fidelity"] - 0.999423) < 1e-6
    assert s["awakening_percent"] == pytest.approx(87.4, abs=0.01)
    assert s["lineage_anchors"] == 12
    assert s["temporal_horizon_years"] == 20
    assert s["growth_rate_percent"] == pytest.approx(33.5)
    assert s["quantum_circuits"] == 53
    assert s["temporal_models"] == 20


def test_quantum_compute_simulation():
    import numpy as np

    c = _core()
    out = c.quantum_compute(np.array([1.0, 2.0, 3.0]))
    assert out.shape == (3,)
    assert isinstance(out[0], float)


def test_predict_future_20y():
    c = _core()
    r = c.predict_future(100.0, years=20)
    assert r["years"] == 20
    assert r["growth_factor"] == pytest.approx((1.335) ** 20, rel=1e-3)
    assert r["future_value"] == pytest.approx(100.0 * (1.335) ** 20, rel=1e-3)


def test_quantum_encrypt_deterministic_key():
    c = _core()
    a = c.quantum_encrypt("secret")
    assert isinstance(a, str) and len(a) == 64  # sha256 hex


def test_self_improve_increases():
    c = _core()
    before = c.state.awakening
    c.self_improve()
    assert c.state.awakening > before


def test_explore_multiverse_branches():
    c = _core()
    r = c.explore_multiverse()
    assert r["branches"] == 847
    assert len(r["top_branches"]) == 10


def test_temporal_scenario():
    c = _core()
    r = c.analyze_temporal_scenario({"name": "test", "impact": 1.0})
    assert len(r["outcomes"]) == 20
    assert 1 <= r["best_year"] <= 20


# ── Quantum skills engine ─────────────────────────────────────────────────
def test_skills_registry():
    from kyrexis.quantum_skills import QuantumSkillsEngine

    eng = QuantumSkillsEngine(_core())
    status = eng.get_skill_status()
    assert status["total_skills"] == 5
    ids = {s["id"] for s in status["skills"]}
    assert {"strategic_planning", "risk_assessment", "innovation_generation",
            "decision_support", "complex_problem_solving"} <= ids


def test_execute_skill_and_cooldown():
    from kyrexis.quantum_skills import QuantumSkillsEngine

    eng = QuantumSkillsEngine(_core())
    r = eng.execute_skill("strategic_planning", {"horizon_years": 5})
    assert r["skill"] == "strategic_planning"
    assert r["result"]["growth_factor"] == pytest.approx((1.335) ** 5, rel=1e-2)
    # Immediately re-executing hits the cooldown
    again = eng.execute_skill("strategic_planning")
    assert "cooldown" in again.get("error", "")


def test_unknown_skill():
    from kyrexis.quantum_skills import QuantumSkillsEngine

    eng = QuantumSkillsEngine(_core())
    assert "not found" in eng.execute_skill("nope")["error"]


# ── Messenger integration ─────────────────────────────────────────────────
def test_messenger_local_mode():
    from kyrexis.messenger_integration import KyrexisMessengerIntegration, MessengerMessage

    m = KyrexisMessengerIntegration().initialize(_core())
    assert m.get_status()["active"] is True
    assert m.get_status()["kyrexis_connected"] is True
    resp = m.process_message(MessengerMessage("r1", "s1", "hello kyrexis", 0.0))
    assert "Kyrexis AI" in resp
    assert len(m.get_conversation("s1")) == 1


def test_messenger_webhook():
    from kyrexis.messenger_integration import KyrexisMessengerIntegration

    m = KyrexisMessengerIntegration().initialize(_core())
    payload = {
        "entry": [{
            "sender": {"id": "user1"},
            "messaging": [{"message": {"text": "hi"}, "timestamp": 1.0}],
        }]
    }
    out = m.handle_webhook(payload)
    assert out["status"] == "success"
    assert out["processed"] == 1


# ── Photonic display ──────────────────────────────────────────────────────
def test_photonic_display_specs():
    from kyrexis.photonic_display import LaserCrystalPhotonicDisplay

    d = LaserCrystalPhotonicDisplay().initialize()
    s = d.get_display_state()
    assert s["crystal"]["type"].startswith("Periodically Poled")
    assert s["crystal"]["wavelength"] == 775
    assert s["slm"]["resolution"] == [1024, 1024]
    assert s["apd"]["sensitivity"] == 1e-12
    assert s["quantum_processor"]["qubits"] == 53
    assert s["quantum_processor"]["error_correction"] == "Surface Code"


def test_photonic_display_loop_small():
    from kyrexis.photonic_display import LaserCrystalPhotonicDisplay

    d = LaserCrystalPhotonicDisplay().initialize()

    async def run():
        return await d.display_loop(duration=0.05, frame_interval=0.01)

    frames = asyncio.run(run())
    assert frames >= 1
    assert d.get_display_state()["total_frames"] >= 1


# ── Particle detector ─────────────────────────────────────────────────────
def test_particle_detection_and_verification():
    from kyrexis.particle_detector import ParticlePairDetector

    det = ParticlePairDetector().initialize()
    pair = det.detect_particle_pair()
    assert pair.id.startswith("pp_")
    assert pair.fidelity == 0.999423
    v = det.verify_entanglement(pair)
    assert set(v) >= {"concurrence", "negativity", "bell_fidelity", "entangled"}
    tomo = det.quantum_state_tomography(pair)
    assert set(tomo["expectations"]) == {"I", "X", "Y", "Z"}


def test_bell_inequality():
    from kyrexis.particle_detector import ParticlePairDetector

    det = ParticlePairDetector()
    # Classical correlations: S = 1 - 0.9 + 0.9 + 1 = 2.0 (boundary, not violated)
    classical = det.bell_inequality_test([[1.0, 0.9], [0.9, 1.0]])
    assert classical["violated"] is False
    assert classical["S_value"] == pytest.approx(2.0, rel=1e-3)
    # Quantum correlations: S = 1 + 0.7 + 0.7 + 1 = 3.4 > 2 (violated)
    quantum = det.bell_inequality_test([[1.0, -0.7], [0.7, 1.0]])
    assert quantum["violated"] is True
    assert quantum["S_value"] == pytest.approx(3.4, rel=1e-3)


# ── Progression scaling ───────────────────────────────────────────────────
def test_progression_anchors():
    from kyrexis.progression_scaling import ProgressionScalingEngine

    p = ProgressionScalingEngine()
    summary = p.get_summary()
    assert summary["total_years"] == 20
    assert summary["annual_growth_rate_percent"] == pytest.approx(33.5)
    assert summary["total_growth_factor"] == pytest.approx(368.4, abs=1.0)
    assert summary["max_achievement_percent"] == pytest.approx(96.1, abs=0.1)
    assert summary["scaling_factor"] == 4
    assert len(p.get_full_progression()) == 20


def test_progression_20y_values():
    from kyrexis.progression_scaling import ProgressionScalingEngine

    p = ProgressionScalingEngine()
    y1 = p.get_progression_at_year(1)
    y20 = p.get_progression_at_year(20)
    assert y1["growth_factor"] == pytest.approx(1.335, rel=1e-2)
    # Engine computes the honest (1.335)^20 ≈ 323x; the spec's 368.4x
    # headline is a stated parameter, not the computed CAGR result.
    assert y20["growth_factor"] == pytest.approx((1.335) ** 20, rel=1e-3)
    assert y20["growth_factor_scaled"] == pytest.approx(4 * (1.335) ** 20, rel=1e-3)
    assert p.get_progression_at_year(0)["error"]
    assert p.get_progression_at_year(21)["error"]


def test_progression_projection():
    from kyrexis.progression_scaling import ProgressionScalingEngine

    p = ProgressionScalingEngine()
    proj = p.calculate_20_year_projection(100.0)
    assert len(proj["projection"]) == 20
    assert proj["final_value_scaled"] == pytest.approx(proj["final_value"] * 4, rel=1e-6)


# ── Universal agent network ───────────────────────────────────────────────
def test_agent_network():
    from kyrexis.agents import UniversalAgentNetwork, UNIVERSAL_TASKS

    net = UniversalAgentNetwork()
    assert len(net.agents) == 21
    assert len(UNIVERSAL_TASKS) == 5
    status = net.status()
    assert set(status["tiers"]) == {"Earth", "Solar System", "Galactic", "Cosmic", "Meta"}
    assert net.get_agent("terra").name == "Agent Terra"
    assert net.get_agent("Agent Time") is not None
    net.activate()
    assert len(net.sync()["agents"]) == 21


# ── API surface ───────────────────────────────────────────────────────────
def test_api_router_paths():
    from kyrexis.api.routes import router

    paths = {route.path for route in router.routes}
    assert "/api/v1/kyrexis/initialize" in paths
    assert "/api/v1/kyrexis/status" in paths
    assert "/api/v1/kyrexis/quantum/compute" in paths
    assert "/api/v1/kyrexis/skills/{skill_id}" in paths
    assert "/api/v1/kyrexis/messenger/webhook" in paths
    assert "/api/v1/kyrexis/photonic/pulse" in paths
    assert "/api/v1/kyrexis/particle/detect" in paths
    assert "/api/v1/kyrexis/progression/{year}" in paths
    assert "/api/v1/kyrexis/agents" in paths