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community_contributions/chrys/models.py

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+"""
+Pydantic models for ARIA pipeline: asset data, tech result, sentiment, decision, alert payload.
+"""
+from typing import Optional
+from pydantic import BaseModel, Field
+
+
+class AssetData(BaseModel):
+    asset: str
+    price: float
+    change_1h: str = ""
+    change_24h: str = ""
+    volume_ratio: float = 1.0
+    ohlcv_14: list[dict] = Field(default_factory=list)  # e.g. [{"o", "h", "l", "c", "v", "t"}, ...]
+    ohlcv_50: list[dict] = Field(default_factory=list)
+    high_52w: float = 0.0
+    low_52w: float = 0.0
+
+
+class TechResult(BaseModel):
+    asset: str
+    rsi: float = 0.0
+    macd_signal: str = "NEUTRAL"  # BULLISH_CROSS, BEARISH_CROSS, NEUTRAL
+    bb_signal: str = "NEUTRAL"   # LOWER_BAND_BOUNCE, UPPER_BAND_TOUCH, NEUTRAL
+    ema_cross: str = "NEUTRAL"   # GOLDEN_CROSS, DEATH_CROSS, NEUTRAL
+    volume_spike: bool = False
+    tech_score: int = 0
+    bias: str = "NEUTRAL"  # STRONG BUY, MODERATE BUY, NEUTRAL, MODERATE SELL, STRONG SELL
+
+
+class SentimentResult(BaseModel):
+    asset: str
+    headlines: list[str] = Field(default_factory=list)
+    sentiment: str = "MIXED"  # POSITIVE, NEGATIVE, MIXED
+    sentiment_score: int = 0   # +1, 0, -1
+    narrative: str = ""
+
+
+class DecisionRecord(BaseModel):
+    asset: str
+    tech_score: int = 0
+    sentiment: str = "MIXED"
+    final_score: float = 0.0
+    decision: str = "SKIP"  # ALERT | SKIP
+    priority: int = 0
+    skip_reason: Optional[str] = None
+
+
+class AlertPayload(BaseModel):
+    asset: str
+    bias: str
+    price: float
+    change_24h: str
+    tech_score: int
+    sentiment: str
+    narrative: str
+    final_score: float
+    key_signals: list[str] = Field(default_factory=list)
+    url: str = ""