from content_agent.business_modules.walk_engine import run_bounded_walk
from tests.p6_walk_helpers import FakeWalkPlatformClient, build_initial_walk_context


def _pool_decisions(context):
    # M3: mock judgment scores 60 (review/pending); the query_next_page edge needs a
    # pooled success query, so promote the seed decision to pool to exercise the loop.
    for decision in context["rule_decisions"]:
        decision["decision_action"] = "ADD_TO_CONTENT_POOL"
        decision["search_query_effect_status"] = "success"


def test_walk_engine_runs_bounded_edges_in_same_run_and_policy(tmp_path):
    context = build_initial_walk_context(tmp_path)
    _pool_decisions(context)
    client = FakeWalkPlatformClient()

    result = run_bounded_walk(platform_client=client, **context)

    assert {row["run_id"] for row in result["rule_decisions"]} == {"run_001"}
    assert {row["policy_run_id"] for row in result["rule_decisions"]} == {"policy_run_001"}
    assert len(result["discovered_content_items"]) > len(context["discovered_content_items"])
    decision_ids = [row["decision_id"] for row in result["rule_decisions"]]
    assert len(decision_ids) == len(set(decision_ids))
    assert any(row["edge_id"] == "query_next_page" for row in result["walk_actions"])


def test_walk_engine_edge_failure_records_failed_action_not_failed_run(tmp_path):
    context = build_initial_walk_context(tmp_path)
    _pool_decisions(context)
    client = FakeWalkPlatformClient(fail_next_page=True)

    result = run_bounded_walk(platform_client=client, **context)

    failed_actions = [
        row for row in result["walk_actions"]
        if row["edge_id"] == "query_next_page" and row["walk_status"] == "failed"
    ]
    assert failed_actions
    assert result["rule_decisions"]