"""MemoryAgent and retrieval tests."""

import os

from server.memory import LessonRetriever, MemoryAgent
from server.memory.lesson_schema import parse_lessons_md


def test_memory_agent_creates_lesson(tmp_path):
    lessons_path = str(tmp_path / "lessons.md")
    agent = MemoryAgent(lessons_path=lessons_path)
    written = agent.update(
        episode_id="ep_0001",
        score=0.85,
        n_steps=8,
        action_log=[
            {"command": "dispatch_diff", "rationale": "first"},
            {"command": "dispatch_patch", "rationale": "patch ch_001"},
            {"command": "dispatch_test", "rationale": "test"},
            {"command": "dispatch_rollback", "rationale": "rb"},
            {"command": "submit", "rationale": "submit"},
        ],
        dominant_change_type="auth_scheme_changed",
        component_rewards={"backward_compat_preservation": 0.9},
    )
    assert written is not None
    assert os.path.exists(lessons_path)
    with open(lessons_path, "r", encoding="utf-8") as f:
        text = f.read()
    lessons = parse_lessons_md(text)
    assert len(lessons) >= 1


def test_memory_agent_skips_low_score(tmp_path):
    lessons_path = str(tmp_path / "lessons.md")
    agent = MemoryAgent(lessons_path=lessons_path)
    written = agent.update(
        episode_id="ep_0002",
        score=0.20,
        n_steps=12,
        action_log=[],
        dominant_change_type="field_renamed",
        component_rewards={},
    )
    assert written is None


def test_retriever_returns_relevant(tmp_path):
    lessons_path = str(tmp_path / "lessons.md")
    agent = MemoryAgent(lessons_path=lessons_path)
    agent.update(
        episode_id="ep_0001", score=0.9, n_steps=6,
        action_log=[{"command": "dispatch_diff"}, {"command": "submit"}],
        dominant_change_type="auth_scheme_changed",
        component_rewards={},
    )
    retr = LessonRetriever(lessons_path=lessons_path)
    hits = retr.retrieve("github authentication scheme bearer change")
    assert isinstance(hits, list)