first commit

app/routers/sentiment.py

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+"""Sentiment router — sentiment data endpoints."""
+
+from fastapi import APIRouter, Depends, Query
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.dependencies import get_db, require_access
+from app.schemas.common import APIEnvelope
+from app.schemas.sentiment import SentimentResponse, SentimentScoreResult
+from app.services.sentiment_service import (
+    compute_sentiment_dimension_score,
+    get_sentiment_scores,
+)
+
+router = APIRouter(tags=["sentiment"])
+
+
+@router.get("/sentiment/{symbol}", response_model=APIEnvelope)
+async def read_sentiment(
+    symbol: str,
+    lookback_hours: float = Query(24, gt=0, description="Lookback window in hours"),
+    _user=Depends(require_access),
+    db: AsyncSession = Depends(get_db),
+) -> APIEnvelope:
+    """Get recent sentiment scores and computed dimension score for a symbol."""
+    scores = await get_sentiment_scores(db, symbol, lookback_hours)
+    dimension_score = await compute_sentiment_dimension_score(
+        db, symbol, lookback_hours
+    )
+
+    data = SentimentResponse(
+        symbol=symbol.strip().upper(),
+        scores=[
+            SentimentScoreResult(
+                id=s.id,
+                classification=s.classification,
+                confidence=s.confidence,
+                source=s.source,
+                timestamp=s.timestamp,
+            )
+            for s in scores
+        ],
+        count=len(scores),
+        dimension_score=round(dimension_score, 2) if dimension_score is not None else None,
+        lookback_hours=lookback_hours,
+    )
+    return APIEnvelope(status="success", data=data.model_dump())