from __future__ import annotations

from ergo_agentic import server


def test_langsmith_project_defaults_to_default(monkeypatch):
    monkeypatch.delenv("LANGSMITH_PROJECT", raising=False)
    monkeypatch.delenv("LANGCHAIN_PROJECT", raising=False)

    assert server._langsmith_project_name() == "default"


def test_langsmith_project_prefers_langsmith_project(monkeypatch):
    monkeypatch.setenv("LANGCHAIN_PROJECT", "legacy-project")
    monkeypatch.setenv("LANGSMITH_PROJECT", "ergo-agentic")

    assert server._langsmith_project_name() == "ergo-agentic"


def test_langsmith_trace_url_is_none_when_tracing_disabled(monkeypatch):
    monkeypatch.setenv("LANGSMITH_TRACING", "false")
    monkeypatch.delenv("LANGSMITH_API_KEY", raising=False)

    run_id = "00000000-0000-0000-0000-000000000000"

    assert server._langsmith_trace_url(run_id) is None


def test_assess_response_includes_optional_langsmith_url():
    response = server.AssessResponse(
        run_id="00000000-0000-0000-0000-000000000000",
        langsmith_trace_url=(
            "https://smith.langchain.com/o/test/projects/p/test/r/test"
        ),
        outcome_matrix={
            "scene_config": {
                "screen_count": 0,
                "screen_types": [],
                "has_standing_desk": False,
                "person_detected": False,
            },
            "setup_summary": "",
            "assessments": [],
            "skipped_parameters": [],
        },
    )

    assert response.langsmith_trace_url is not None


def test_langsmith_run_info_uses_project_metadata():
    response = server.LangSmithRunInfo(
        run_id="00000000-0000-0000-0000-000000000000",
        langsmith_tracing=True,
        langsmith_project="ergo-agentic",
        langsmith_trace_url=None,
    )

    assert response.langsmith_project == "ergo-agentic"