from contextlib import contextmanager

from scrapers import lookintobitcoin
from scoring import engine


def test_hash_ribbon_signal_requires_a_current_truthy_marker():
    named_but_inactive = {"name": "Buy Signal", "y": [1, None, None]}
    active = {"name": "Buy Signal", "y": [None, 0, 1]}

    assert lookintobitcoin._trace_signal_is_active(named_but_inactive) is False
    assert lookintobitcoin._trace_signal_is_active(active) is True


def test_lth_supply_trace_selection_never_falls_back_to_price():
    traces = [
        {"name": "BTC Price", "y": [60000, 61000]},
        {"name": "Long-Term Holder Supply", "y": [14_000_000, 14_100_000]},
    ]

    assert lookintobitcoin._find_lth_supply_trace(traces)["name"] == "Long-Term Holder Supply"
    assert lookintobitcoin._find_lth_supply_trace(traces[:1]) is None


def test_vdd_derived_return_is_labeled_as_momentum_not_raw_multiple():
    result = engine.score_all({"vdd_multiple": {"value": 0.12}})
    vdd = next(metric for metric in result["metrics"] if metric["key"] == "vdd_multiple")

    assert vdd["name"] == "VDD 30-Period Momentum"
    assert vdd["transform"] == "30_period_return"


def test_scrape_all_reuses_one_browser_page(monkeypatch):
    page = object()
    seen_pages = []

    @contextmanager
    def fake_browser_page():
        yield page

    def fake_scrape_chart(_path, timeout=25000, page=None):
        seen_pages.append(page)
        return [{"name": "metric", "y": [1.0]}]

    monkeypatch.setattr(lookintobitcoin, "CHARTS", {
        "first": {"path": "/first", "traces": ["metric"]},
        "second": {"path": "/second", "traces": ["metric"]},
    })
    monkeypatch.setattr(lookintobitcoin, "browser_page", fake_browser_page)
    monkeypatch.setattr(lookintobitcoin, "scrape_chart", fake_scrape_chart)

    result = lookintobitcoin.scrape_all()

    assert seen_pages == [page, page]
    assert result["first"]["value"] == 1.0
    assert result["second"]["value"] == 1.0