jihoson/The-Ouroboros
1
0
Fork 0
Code Issues 20 Pull Requests 1 Actions Packages Projects Releases Wiki Activity

ci: fix lint baseline and stabilize failing main tests
Some checks failed
Gitea CI / test (push) Failing after 5s
Details
Gitea CI / test (pull_request) Failing after 5s
Details

Browse Source
This commit is contained in:
agentson
2026-03-01 20:17:13 +09:00
parent 6f047a6daf
commit 5730f0db2a
64 changed files with 1041 additions and 1380 deletions
Download Patch File Download Diff File Expand all files Collapse all files

35
tests/test_pre_market_planner.py
View File

@@ -78,9 +78,7 @@ def _gemini_response_json(
"rationale": "Near circuit breaker",
}
]
return json.dumps(
{"market_outlook": outlook, "global_rules": global_rules, "stocks": stocks}
)
return json.dumps({"market_outlook": outlook, "global_rules": global_rules, "stocks": stocks})
def _make_planner(
@@ -564,8 +562,12 @@ class TestBuildPrompt:
def test_prompt_contains_cross_market(self) -> None:
planner = _make_planner()
cross = CrossMarketContext(
market="US", date="2026-02-07", total_pnl=1.5,
win_rate=60, index_change_pct=0.8, lessons=["Cut losses early"],
market="US",
date="2026-02-07",
total_pnl=1.5,
win_rate=60,
index_change_pct=0.8,
lessons=["Cut losses early"],
)
prompt = planner._build_prompt("KR", [_candidate()], {}, None, cross)
@@ -683,9 +685,7 @@ class TestSmartFallbackPlaybook:
)
def test_momentum_candidate_gets_buy_on_volume(self) -> None:
candidates = [
_candidate(code="CHOW", signal="momentum", volume_ratio=13.64, rsi=100.0)
]
candidates = [_candidate(code="CHOW", signal="momentum", volume_ratio=13.64, rsi=100.0)]
settings = self._make_settings()
pb = PreMarketPlanner._smart_fallback_playbook(
@@ -707,9 +707,7 @@ class TestSmartFallbackPlaybook:
assert sell_sc.condition.price_change_pct_below == -3.0
def test_oversold_candidate_gets_buy_on_rsi(self) -> None:
candidates = [
_candidate(code="005930", signal="oversold", rsi=22.0, volume_ratio=3.5)
]
candidates = [_candidate(code="005930", signal="oversold", rsi=22.0, volume_ratio=3.5)]
settings = self._make_settings()
pb = PreMarketPlanner._smart_fallback_playbook(
@@ -776,9 +774,7 @@ class TestSmartFallbackPlaybook:
def test_empty_candidates_returns_empty_playbook(self) -> None:
settings = self._make_settings()
pb = PreMarketPlanner._smart_fallback_playbook(
date(2026, 2, 17), "US_AMEX", [], settings
)
pb = PreMarketPlanner._smart_fallback_playbook(date(2026, 2, 17), "US_AMEX", [], settings)
assert pb.stock_count == 0
@@ -814,19 +810,14 @@ class TestSmartFallbackPlaybook:
planner = _make_planner()
planner._gemini.decide = AsyncMock(side_effect=ConnectionError("429 quota exceeded"))
# momentum candidate
candidates = [
_candidate(code="CHOW", signal="momentum", volume_ratio=13.64, rsi=100.0)
]
candidates = [_candidate(code="CHOW", signal="momentum", volume_ratio=13.64, rsi=100.0)]
pb = await planner.generate_playbook(
"US_AMEX", candidates, today=date(2026, 2, 18)
)
pb = await planner.generate_playbook("US_AMEX", candidates, today=date(2026, 2, 18))
# Should NOT be all-SELL defensive; should have BUY for momentum
assert pb.stock_count == 1
buy_scenarios = [
s for s in pb.stock_playbooks[0].scenarios
if s.action == ScenarioAction.BUY
s for s in pb.stock_playbooks[0].scenarios if s.action == ScenarioAction.BUY
]
assert len(buy_scenarios) == 1
assert buy_scenarios[0].condition.volume_ratio_above == 2.0 # VOL_MULTIPLIER default