Files
trumpsignal-backend/app/api/posts.py
T
2026-04-20 23:05:59 +08:00

64 lines
1.9 KiB
Python

import logging
from typing import List, Optional
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.database import get_db
from app.models import Post
from app.schemas import PriceImpact, TrumpPost
router = APIRouter()
logger = logging.getLogger(__name__)
def _post_to_schema(post: Post) -> TrumpPost:
price_impact: Optional[PriceImpact] = None
if (
post.price_impact_asset
and post.price_at_post is not None
):
price_impact = PriceImpact(
asset=post.price_impact_asset,
m5=post.price_impact_m5 or 0.0,
m15=post.price_impact_m15 or 0.0,
m1h=post.price_impact_m1h or 0.0,
price_at_post=post.price_at_post,
)
return TrumpPost(
id=post.id,
text=post.text,
source=post.source,
published_at=post.published_at.isoformat(),
sentiment=post.sentiment,
signal=post.signal,
ai_confidence=post.ai_confidence,
ai_reasoning=post.ai_reasoning,
relevant=post.relevant,
price_impact=price_impact,
)
@router.get("/posts", response_model=List[TrumpPost])
async def get_posts(
limit: int = Query(default=20, ge=1, le=500),
page: int = Query(default=1, ge=1),
db: AsyncSession = Depends(get_db),
):
offset = (page - 1) * limit
result = await db.execute(
select(Post).order_by(Post.published_at.desc()).offset(offset).limit(limit)
)
posts = result.scalars().all()
return [_post_to_schema(p) for p in posts]
@router.get("/posts/{post_id}", response_model=TrumpPost)
async def get_post(post_id: int, db: AsyncSession = Depends(get_db)):
result = await db.execute(select(Post).where(Post.id == post_id))
post = result.scalar_one_or_none()
if post is None:
raise HTTPException(status_code=404, detail="Post not found")
return _post_to_schema(post)