70 lines
1.8 KiB
Python
70 lines
1.8 KiB
Python
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'''
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Deterministic history-backfill regressions.
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'''
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from functools import partial
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from types import SimpleNamespace
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import numpy as np
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from pendulum import datetime
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import trio
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from piker.brokers import DataUnavailable
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from piker.data._source import def_iohlcv_fields
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from piker.tsp._history import start_backfill
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def run_exhausted_backfill(get_hist) -> None:
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'''
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Run a provider-exhaustion case without actor services.
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'''
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async def main() -> None:
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with trio.fail_after(0.5):
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async with trio.open_nursery() as nursery:
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await nursery.start(partial(
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start_backfill,
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get_hist=get_hist,
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def_frame_duration=None,
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mod=SimpleNamespace(name='fake'),
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mkt=SimpleNamespace(fqme='x.fake'),
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shm=object(),
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timeframe=60,
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backfill_from_shm_index=100,
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backfill_from_dt=datetime(2026, 1, 2),
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sampler_stream=object(),
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backfill_until_dt=datetime(2026, 1, 1),
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storage=None,
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write_tsdb=False,
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))
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trio.run(main)
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def test_data_unavailable_completes() -> None:
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'''
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Provider exhaustion exits without orphaned completion waits.
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'''
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async def get_hist(*args, **kwargs):
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raise DataUnavailable('history exhausted')
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run_exhausted_backfill(get_hist)
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def test_empty_frame_completes() -> None:
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'''
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An empty provider frame is checked before endpoint indexing.
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'''
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frame = np.empty(
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0,
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dtype=np.dtype(def_iohlcv_fields),
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)
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async def get_hist(*args, **kwargs):
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end_dt = kwargs['end_dt']
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return frame, end_dt, end_dt
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run_exhausted_backfill(get_hist)
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