Files
crypto_monitor/tests/test_hub_kline_store.py
T
dekun 63472719ec Fetch native exchange OHLCV per timeframe instead of local aggregation.
Store and serve 15m/2h/4h directly from the exchange so market charts match venue candles.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-08 07:59:49 +08:00

213 lines
6.2 KiB
Python

"""中控 K 线库:分周期保留、聚合与分页读取。"""
from __future__ import annotations
import tempfile
import time
import unittest
from pathlib import Path
from hub_kline_store import (
init_db,
load_bars_before,
load_bars_latest,
purge_retention,
purge_timeframe_by_days,
resolve_chart_bars,
retention_days,
upsert_bars,
)
from hub_ohlcv_lib import (
TIMEFRAME_MS,
bar_limit_for_timeframe,
chart_fetch_start_ms,
chart_initial_limit,
last_closed_bar_open_ms,
window_start_ms,
)
class TestHubKlineStore(unittest.TestCase):
def setUp(self):
self.tmp = tempfile.TemporaryDirectory()
self.db = Path(self.tmp.name) / "test_hub_kline.db"
def tearDown(self):
self.tmp.cleanup()
def test_bar_limits(self):
self.assertEqual(bar_limit_for_timeframe("5m"), 5000)
self.assertEqual(bar_limit_for_timeframe("1h"), 1000)
self.assertEqual(bar_limit_for_timeframe("1d"), 1000)
self.assertEqual(bar_limit_for_timeframe("1w"), 500)
self.assertEqual(chart_initial_limit("5m"), 300)
def test_chart_fetch_window_exceeds_retention(self):
now = int(time.time() * 1000)
need = bar_limit_for_timeframe("1d")
fetch_start = chart_fetch_start_ms("1d", need, now)
db_start = window_start_ms("1d", need, retention_days(), now)
self.assertLess(fetch_start, db_start)
def test_purge_retention_5m_one_year(self):
init_db(self.db)
old_ms = int(time.time() * 1000) - 400 * 86400000
upsert_bars(
"okx",
"BTC/USDT",
"5m",
[
{
"open_time_ms": old_ms,
"open": 1,
"high": 2,
"low": 0.5,
"close": 1.5,
"volume": 10,
}
],
self.db,
)
n = purge_timeframe_by_days("5m", 365, self.db)
self.assertGreaterEqual(n, 1)
rows = load_bars_latest("okx", "BTC/USDT", "5m", 10, self.db)
self.assertEqual(len(rows), 0)
def test_purge_retention_keeps_1d(self):
init_db(self.db)
old_ms = int(time.time() * 1000) - 400 * 86400000
upsert_bars(
"okx",
"BTC/USDT",
"1d",
[
{
"open_time_ms": old_ms,
"open": 1,
"high": 2,
"low": 0.5,
"close": 1.5,
"volume": 10,
}
],
self.db,
)
purge_retention(self.db)
rows = load_bars_latest("okx", "BTC/USDT", "1d", 10, self.db)
self.assertEqual(len(rows), 1)
def test_resolve_uses_cache_without_remote(self):
init_db(self.db)
now = int(time.time() * 1000)
tf = "5m"
period = TIMEFRAME_MS[tf]
last_closed = last_closed_bar_open_ms(tf, now)
bars = []
for i in range(400):
oms = last_closed - (399 - i) * period
bars.append(
{
"open_time_ms": oms,
"open": 100 + i,
"high": 101 + i,
"low": 99 + i,
"close": 100.5 + i,
"volume": 1000 + i,
}
)
upsert_bars("okx", "ETH/USDT", tf, bars, self.db)
def remote_fetch(**kwargs):
self.fail("不应请求交易所")
out = resolve_chart_bars(
"okx",
"ETH/USDT",
tf,
remote_fetch,
db_path=self.db,
limit=300,
)
self.assertTrue(out.get("ok"))
self.assertEqual(len(out.get("candles") or []), 300)
def test_resolve_15m_reads_native_bars(self):
init_db(self.db)
now = int(time.time() * 1000)
period = TIMEFRAME_MS["15m"]
last_closed = last_closed_bar_open_ms("15m", now)
bars = []
for i in range(12):
oms = last_closed - (11 - i) * period
bars.append(
{
"open_time_ms": oms,
"open": 1.0 + i,
"high": 2.0 + i,
"low": 0.5 + i,
"close": 1.5 + i,
"volume": 10.0,
}
)
upsert_bars("okx", "ETH/USDT", "15m", bars, self.db)
def remote_fetch(**kwargs):
self.fail("不应请求交易所")
out = resolve_chart_bars(
"okx",
"ETH/USDT",
"15m",
remote_fetch,
db_path=self.db,
limit=10,
)
self.assertTrue(out.get("ok"))
self.assertEqual(out.get("source"), "db")
self.assertEqual(out.get("storage_timeframe"), "15m")
self.assertGreaterEqual(len(out.get("candles") or []), 10)
def test_load_bars_before(self):
init_db(self.db)
period = TIMEFRAME_MS["1h"]
base = 1_700_000_000_000
bars = []
for i in range(5):
bars.append(
{
"open_time_ms": base + i * period,
"open": 1,
"high": 2,
"low": 0.5,
"close": 1.5,
"volume": 1,
}
)
upsert_bars("okx", "BTC/USDT", "1h", bars, self.db)
before = base + 3 * period
got = load_bars_before("okx", "BTC/USDT", "1h", before, 2, self.db)
self.assertEqual(len(got), 2)
self.assertEqual(got[-1]["open_time_ms"], base + 2 * period)
def test_resolve_before_ms_exhausted(self):
init_db(self.db)
def remote_fetch(**kwargs):
return {"ok": False, "msg": "no remote"}
out = resolve_chart_bars(
"okx",
"BTC/USDT",
"5m",
remote_fetch,
db_path=self.db,
limit=100,
before_ms=int(time.time() * 1000),
)
self.assertTrue(out.get("ok"))
self.assertEqual(out.get("candles"), [])
self.assertTrue(out.get("exhausted"))
if __name__ == "__main__":
unittest.main()