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60 lines
1.5 KiB
Python
60 lines
1.5 KiB
Python
# Run:
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# uv run pytest tests/basic.py -s
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from __future__ import print_function
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from brk_client import BrkClient
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def test_client_creation():
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BrkClient("http://localhost:3110")
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def test_tree_exists():
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client = BrkClient("http://localhost:3110")
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assert hasattr(client, "metrics")
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assert hasattr(client.metrics, "price")
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assert hasattr(client.metrics, "blocks")
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def test_fetch_block():
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client = BrkClient("http://localhost:3110")
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print(client.get_block_by_height(800000))
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def test_fetch_json_metric():
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client = BrkClient("http://localhost:3110")
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a = client.get_metric("price_close", "day1")
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print(a)
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def test_fetch_csv_metric():
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client = BrkClient("http://localhost:3110")
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a = client.get_metric("price_close", "day1", -10, None, None, "csv")
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print(a)
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def test_fetch_typed_metric():
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client = BrkClient("http://localhost:3110")
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# Using new idiomatic API: tail(10).fetch() or [-10:].fetch()
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a = client.metrics.constants._0.by.day1().tail(10).fetch()
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print(a)
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b = client.metrics.outputs.count.unspent.by.height().tail(10).fetch()
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print(b)
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c = client.metrics.prices.split.close.usd.by.day1().tail(10).fetch()
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print(c)
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d = (
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client.metrics.market.dca.period.lump_sum_stack._10y.usd.by.day1()
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.tail(10)
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.fetch()
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)
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print(d)
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e = (
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client.metrics.market.dca.class_.cost_basis.from_2017.usd.by.day1()
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.tail(10)
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.fetch()
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)
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print(e)
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f = client.metrics.prices.ohlc.usd.by.day1().tail(10).fetch()
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print(f)
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