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feat: split portfolio and opportunity decision models

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Tacit Lab
2026-04-20 16:13:57 +08:00
parent 4312b16288
commit 1da08415f1
10 changed files with 326 additions and 195 deletions
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41
tests/test_opportunity_service.py
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@@ -1,11 +1,11 @@
"""Opportunity service tests."""
"""Signal, opportunity, and portfolio service tests."""
from __future__ import annotations
import unittest
from unittest.mock import patch
from coinhunter.services import opportunity_service
from coinhunter.services import opportunity_service, portfolio_service, signal_service
class FakeSpotClient:
@@ -105,28 +105,40 @@ class OpportunityServiceTestCase(unittest.TestCase):
self.config = {
"market": {"default_quote": "USDT", "universe_allowlist": [], "universe_denylist": []},
"trading": {"dust_usdt_threshold": 10.0},
"signal": {
"lookback_interval": "1h",
"trend": 1.0,
"momentum": 1.0,
"breakout": 0.8,
"volume": 0.7,
"volatility_penalty": 0.5,
},
"opportunity": {
"scan_limit": 10,
"top_n": 5,
"min_quote_volume": 1000.0,
"weights": {
"trend": 1.0,
"momentum": 1.0,
"breakout": 0.8,
"volume": 0.7,
"volatility_penalty": 0.5,
"position_concentration_penalty": 0.6,
},
"entry_threshold": 1.5,
"watch_threshold": 0.6,
"overlap_penalty": 0.6,
},
"portfolio": {
"add_threshold": 1.5,
"hold_threshold": 0.6,
"trim_threshold": 0.2,
"exit_threshold": -0.2,
"max_position_weight": 0.6,
},
}
def test_portfolio_analysis_ignores_dust_and_emits_recommendations(self):
events = []
with patch.object(opportunity_service, "audit_event", side_effect=lambda event, payload, **kwargs: events.append(event)):
payload = opportunity_service.analyze_portfolio(self.config, spot_client=FakeSpotClient())
with patch.object(portfolio_service, "audit_event", side_effect=lambda event, payload, **kwargs: events.append(event)):
payload = portfolio_service.analyze_portfolio(self.config, spot_client=FakeSpotClient())
symbols = [item["symbol"] for item in payload["recommendations"]]
self.assertNotIn("DOGEUSDT", symbols)
self.assertEqual(symbols, ["BTCUSDT", "ETHUSDT"])
self.assertEqual(payload["recommendations"][0]["action"], "add")
self.assertEqual(payload["recommendations"][1]["action"], "hold")
self.assertEqual(events, ["opportunity_portfolio_generated"])
def test_scan_is_deterministic(self):
@@ -135,8 +147,9 @@ class OpportunityServiceTestCase(unittest.TestCase):
self.config | {"opportunity": self.config["opportunity"] | {"top_n": 2}}, spot_client=FakeSpotClient()
)
self.assertEqual([item["symbol"] for item in payload["recommendations"]], ["SOLUSDT", "BTCUSDT"])
self.assertEqual([item["action"] for item in payload["recommendations"]], ["enter", "enter"])
def test_score_candidate_handles_empty_klines(self):
score, metrics = opportunity_service._score_candidate([], [], {"price_change_pct": 1.0}, {}, 0.0)
def test_signal_score_handles_empty_klines(self):
score, metrics = signal_service.score_market_signal([], [], {"price_change_pct": 1.0}, {})
self.assertEqual(score, 0.0)
self.assertEqual(metrics["trend"], 0.0)