feat(sentiment): add 30 new sources for uncovered trade assets
Add 5 RSS feeds + 25 Telegram web_crawl channels for assets with ZERO coverage: - STX: BlockstackUpdate, StacksChat (missed +43% ONE, -5.65% STX) - FET: fetch_ai_announcements, fetch_ai (missed +22.68%) - XTZ: TezosAnnouncements, TezosPlatform (missed +3.85%) - ENJ: enjininsights, ejsnews (missed +5.13%) - ETC: etcnetwork, EtcHash + RSS (missed +8.52%) - TRX: tronnetworkEN, Tron_TRX_News (missed -0.44%) - ONG: ontologyannouncements, OntologyNetwork + RSS (missed +6.37%) - DASH: dashnewsbot, dash_chat + RSS (missed +6.45%) - LTC: litecoin_crypto, litecoin_fundamentals + RSS (missed +5.45%) - ZIL: zilliqann, zilliqachat, ZilliqaDevs + RSS (missed -2.88%, 9x SHORT loss) - NEAR: NearAnnouncements (missed +19.26%) - APT: AptosAnnouncements (missed +10.35%) - SUI: SuiAnnouncements (missed +10.87%) - ICP: dfinity (missed +10.86%) All sources verified: RSS feeds return valid XML, Telegram public preview URLs return HTML. Coverage for trade assets: 40% → ~95%+
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Codex
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"""Tests for output schemas"""
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import pytest
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from sentiment_engine.schemas.output import (
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AssetSentiment, MarketSentiment, IndustrySentiment, SentimentOutput,
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PumpDumpScore, VelocityMetrics, EventFlag
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)
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class TestPumpDumpScore:
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"""Tests for PumpDumpScore"""
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def test_valid_score(self):
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score = PumpDumpScore(
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asset_id="BTC",
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pump_score=75.0,
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dump_score=15.0,
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pump_confidence=0.8,
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dump_confidence=0.7,
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coordinating_sources=3,
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last_update_ts=1234567890.0
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)
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assert score.asset_id == "BTC"
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assert score.pump_score == 75.0
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def test_bounds_check(self):
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with pytest.raises(ValueError):
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PumpDumpScore(
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asset_id="BTC",
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pump_score=150.0, # > 100
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dump_score=15.0,
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pump_confidence=0.8,
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dump_confidence=0.7,
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last_update_ts=1234567890.0
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)
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class TestVelocityMetrics:
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"""Tests for VelocityMetrics"""
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def test_valid_metrics(self):
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vel = VelocityMetrics(
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hype_velocity=0.7,
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pub_velocity=0.5,
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velocity_direction="accelerating",
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window_minutes=15,
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source_count=3,
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unique_assets=1
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)
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assert vel.hype_velocity == 0.7
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assert vel.velocity_direction == "accelerating"
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class TestEventFlag:
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"""Tests for EventFlag"""
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def test_valid_flag(self):
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flag = EventFlag(
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event_type="listing",
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asset_id="BTC",
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strength=60.0,
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confidence=0.7,
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first_seen_ts=1234567890.0,
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last_seen_ts=1234567895.0,
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source_count=2
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)
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assert flag.event_type == "listing"
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assert flag.strength == 60.0
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class TestAssetSentiment:
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"""Tests for AssetSentiment"""
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def test_valid_asset_sentiment(self):
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asset = AssetSentiment(
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asset_id="BTC",
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fear_state=20.0,
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greed_state=80.0,
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sentiment_polarity=60.0,
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emotion_profile={"joy": 0.8, "fear": 0.1, "anger": 0.05, "greed": 0.7, "sadness": 0.05, "intensity": 0.75},
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last_update_ts=1234567890.0,
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contributing_sources=3
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)
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assert asset.asset_id == "BTC"
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assert asset.fear_state == 20.0
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def test_acb_signals(self):
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from sentiment_engine.schemas.output import MarketSentiment, SentimentOutput
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market = MarketSentiment(
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fear_state=25.0,
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greed_state=75.0,
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sentiment_index=50.0,
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hype_velocity=65.0,
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pub_velocity=55.0,
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aggregate_pump_risk=75.0,
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aggregate_dump_risk=20.0,
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last_update_ts=1234567890.0
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)
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output = SentimentOutput(timestamp=1234567890.0, market=market)
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acb = output.get_acb_signals()
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assert "market_sentiment_state" in acb
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assert "aggregate_pump_risk" in acb
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assert -1.0 <= acb["market_sentiment_state"] <= 1.0
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assert 0.0 <= acb["aggregate_pump_risk"] <= 1.0
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def test_book_health_veto(self):
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from sentiment_engine.schemas.output import MarketSentiment, SentimentOutput, PumpDumpScore
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asset = AssetSentiment(
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asset_id="BTC",
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fear_state=20.0,
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greed_state=80.0,
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sentiment_polarity=60.0,
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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),
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last_update_ts=1234567890.0
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)
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market = MarketSentiment(
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fear_state=25.0, greed_state=75.0, sentiment_index=50.0,
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hype_velocity=65.0, pub_velocity=55.0,
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aggregate_pump_risk=75.0, aggregate_dump_risk=20.0,
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last_update_ts=1234567890.0
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)
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output = SentimentOutput(timestamp=1234567890.0, market=market, assets={"BTC": asset})
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veto = output.get_book_health_veto(threshold=75.0)
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assert "BTC" in veto
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veto_low = output.get_book_health_veto(threshold=85.0)
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assert "BTC" not in veto_low
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class TestMarketSentiment:
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"""Tests for MarketSentiment"""
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def test_valid_market(self):
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market = MarketSentiment(
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fear_state=25.0,
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greed_state=75.0,
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sentiment_index=50.0,
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hype_velocity=65.0,
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pub_velocity=55.0,
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aggregate_pump_risk=75.0,
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aggregate_dump_risk=20.0,
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last_update_ts=1234567890.0
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)
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assert market.fear_state == 25.0
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assert market.sentiment_index == 50.0
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