57 lines
1.9 KiB
Python
57 lines
1.9 KiB
Python
from contextlib import contextmanager
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from scrapers import lookintobitcoin
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from scoring import engine
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def test_hash_ribbon_signal_requires_a_current_truthy_marker():
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named_but_inactive = {"name": "Buy Signal", "y": [1, None, None]}
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active = {"name": "Buy Signal", "y": [None, 0, 1]}
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assert lookintobitcoin._trace_signal_is_active(named_but_inactive) is False
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assert lookintobitcoin._trace_signal_is_active(active) is True
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def test_lth_supply_trace_selection_never_falls_back_to_price():
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traces = [
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{"name": "BTC Price", "y": [60000, 61000]},
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{"name": "Long-Term Holder Supply", "y": [14_000_000, 14_100_000]},
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]
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assert lookintobitcoin._find_lth_supply_trace(traces)["name"] == "Long-Term Holder Supply"
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assert lookintobitcoin._find_lth_supply_trace(traces[:1]) is None
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def test_vdd_derived_return_is_labeled_as_momentum_not_raw_multiple():
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result = engine.score_all({"vdd_multiple": {"value": 0.12}})
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vdd = next(metric for metric in result["metrics"] if metric["key"] == "vdd_multiple")
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assert vdd["name"] == "VDD 30-Period Momentum"
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assert vdd["transform"] == "30_period_return"
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def test_scrape_all_reuses_one_browser_page(monkeypatch):
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page = object()
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seen_pages = []
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@contextmanager
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def fake_browser_page():
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yield page
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def fake_scrape_chart(_path, timeout=25000, page=None):
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seen_pages.append(page)
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return [{"name": "metric", "y": [1.0]}]
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monkeypatch.setattr(lookintobitcoin, "CHARTS", {
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"first": {"path": "/first", "traces": ["metric"]},
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"second": {"path": "/second", "traces": ["metric"]},
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})
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monkeypatch.setattr(lookintobitcoin, "browser_page", fake_browser_page)
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monkeypatch.setattr(lookintobitcoin, "scrape_chart", fake_scrape_chart)
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result = lookintobitcoin.scrape_all()
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assert seen_pages == [page, page]
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assert result["first"]["value"] == 1.0
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assert result["second"]["value"] == 1.0
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