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sentiment-engine/sentiment_engine/tests/unit/test_schemas_output.py

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"""Tests for output schemas"""
import pytest
from sentiment_engine.schemas.output import (
AssetSentiment, MarketSentiment, IndustrySentiment, SentimentOutput,
PumpDumpScore, VelocityMetrics, EventFlag
)
class TestPumpDumpScore:
"""Tests for PumpDumpScore"""
def test_valid_score(self):
score = PumpDumpScore(
asset_id="BTC",
pump_score=75.0,
dump_score=15.0,
pump_confidence=0.8,
dump_confidence=0.7,
coordinating_sources=3,
last_update_ts=1234567890.0
)
assert score.asset_id == "BTC"
assert score.pump_score == 75.0
def test_bounds_check(self):
with pytest.raises(ValueError):
PumpDumpScore(
asset_id="BTC",
pump_score=150.0, # > 100
dump_score=15.0,
pump_confidence=0.8,
dump_confidence=0.7,
last_update_ts=1234567890.0
)
class TestVelocityMetrics:
"""Tests for VelocityMetrics"""
def test_valid_metrics(self):
vel = VelocityMetrics(
hype_velocity=0.7,
pub_velocity=0.5,
velocity_direction="accelerating",
window_minutes=15,
source_count=3,
unique_assets=1
)
assert vel.hype_velocity == 0.7
assert vel.velocity_direction == "accelerating"
class TestEventFlag:
"""Tests for EventFlag"""
def test_valid_flag(self):
flag = EventFlag(
event_type="listing",
asset_id="BTC",
strength=60.0,
confidence=0.7,
first_seen_ts=1234567890.0,
last_seen_ts=1234567895.0,
source_count=2
)
assert flag.event_type == "listing"
assert flag.strength == 60.0
class TestAssetSentiment:
"""Tests for AssetSentiment"""
def test_valid_asset_sentiment(self):
asset = AssetSentiment(
asset_id="BTC",
fear_state=20.0,
greed_state=80.0,
sentiment_polarity=60.0,
emotion_profile={"joy": 0.8, "fear": 0.1, "anger": 0.05, "greed": 0.7, "sadness": 0.05, "intensity": 0.75},
last_update_ts=1234567890.0,
contributing_sources=3
)
assert asset.asset_id == "BTC"
assert asset.fear_state == 20.0
def test_acb_signals(self):
from sentiment_engine.schemas.output import MarketSentiment, SentimentOutput
market = MarketSentiment(
fear_state=25.0,
greed_state=75.0,
sentiment_index=50.0,
hype_velocity=65.0,
pub_velocity=55.0,
aggregate_pump_risk=75.0,
aggregate_dump_risk=20.0,
last_update_ts=1234567890.0
)
output = SentimentOutput(timestamp=1234567890.0, market=market)
acb = output.get_acb_signals()
assert "market_sentiment_state" in acb
assert "aggregate_pump_risk" in acb
assert -1.0 <= acb["market_sentiment_state"] <= 1.0
assert 0.0 <= acb["aggregate_pump_risk"] <= 1.0
def test_book_health_veto(self):
from sentiment_engine.schemas.output import MarketSentiment, SentimentOutput, PumpDumpScore
asset = AssetSentiment(
asset_id="BTC",
fear_state=20.0,
greed_state=80.0,
sentiment_polarity=60.0,
pump_dump=PumpDumpScore(asset_id="BTC", pump_score=80.0, dump_score=15.0, pump_confidence=0.8, dump_confidence=0.7, last_update_ts=1234567890.0),
last_update_ts=1234567890.0
)
market = MarketSentiment(
fear_state=25.0, greed_state=75.0, sentiment_index=50.0,
hype_velocity=65.0, pub_velocity=55.0,
aggregate_pump_risk=75.0, aggregate_dump_risk=20.0,
last_update_ts=1234567890.0
)
output = SentimentOutput(timestamp=1234567890.0, market=market, assets={"BTC": asset})
veto = output.get_book_health_veto(threshold=75.0)
assert "BTC" in veto
veto_low = output.get_book_health_veto(threshold=85.0)
assert "BTC" not in veto_low
class TestMarketSentiment:
"""Tests for MarketSentiment"""
def test_valid_market(self):
market = MarketSentiment(
fear_state=25.0,
greed_state=75.0,
sentiment_index=50.0,
hype_velocity=65.0,
pub_velocity=55.0,
aggregate_pump_risk=75.0,
aggregate_dump_risk=20.0,
last_update_ts=1234567890.0
)
assert market.fear_state == 25.0
assert market.sentiment_index == 50.0