Add FastAPI backend with PostGIS-backed nearby search

FastAPI service backed by PostgreSQL+PostGIS: cities/places/place_content
schema (normalized per-language, per-length content for easy future
re-ingestion), Alembic migration, an iterative-radius-expansion nearby
search endpoint, a name-search fallback for denied-location flows, and
a YAML seed loader CLI. Verified end-to-end against a live Docker
Postgres+PostGIS instance (migration, city seed, place/content CRUD,
and nearby radius expansion all confirmed working via curl).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
This commit is contained in:
vrubelroman 2026-07-09 18:31:29 +00:00
parent 2acc5dfa2e
commit d2ab424e7e
43 changed files with 1058 additions and 0 deletions

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from fastapi import APIRouter, Depends, HTTPException, Query
from geoalchemy2 import Geometry
from sqlalchemy import and_, cast, func, select
from sqlalchemy.orm import Session
from app.api.deps import lang_param, length_param
from app.db.session import get_db
from app.models.city import City
from app.models.enums import PlaceCategory
from app.models.place import Place
from app.models.place_content import PlaceContent
from app.schemas.common import LatLon
from app.schemas.place import ContentOut, PlaceDetail, PlaceListItem
from app.services.geocoding import search_places
router = APIRouter(tags=["places"])
@router.get("/places/search", response_model=list[PlaceListItem])
def search(
q: str = Query(min_length=1),
city_slug: str | None = Query(default=None),
lang: str = Depends(lang_param),
db: Session = Depends(get_db),
) -> list[PlaceListItem]:
rows = search_places(db, q=q, language=lang, city_slug=city_slug)
return [
PlaceListItem(id=place.id, slug=place.slug, category=place.category, name=content.title, location=LatLon(lat=lat, lon=lon))
for place, content, lon, lat in rows
]
@router.get("/places/{place_id}", response_model=PlaceDetail)
def get_place(
place_id: int,
lang: str = Depends(lang_param),
length: str = Depends(length_param),
db: Session = Depends(get_db),
) -> PlaceDetail:
stmt = (
select(
Place,
PlaceContent,
func.ST_X(cast(Place.location, Geometry)).label("lon"),
func.ST_Y(cast(Place.location, Geometry)).label("lat"),
)
.join(
PlaceContent,
and_(
PlaceContent.place_id == Place.id,
PlaceContent.language == lang,
PlaceContent.length == length,
),
)
.where(Place.id == place_id)
)
row = db.execute(stmt).first()
if row is None:
raise HTTPException(status_code=404, detail="Place not found")
place, content, lon, lat = row
return PlaceDetail(
id=place.id,
slug=place.slug,
category=place.category,
location=LatLon(lat=lat, lon=lon),
address=place.address,
district=place.district,
built_year=place.built_year,
architect_builder=place.architect_builder,
architectural_style=place.architectural_style,
content=ContentOut(language=content.language, length=content.length, title=content.title, body=content.body),
)
@router.get("/cities/{city_slug}/places", response_model=list[PlaceListItem])
def list_city_places(
city_slug: str,
category: PlaceCategory | None = Query(default=None),
district: str | None = Query(default=None),
q: str | None = Query(default=None),
lang: str = Depends(lang_param),
db: Session = Depends(get_db),
) -> list[PlaceListItem]:
city = db.scalar(select(City).where(City.slug == city_slug))
if city is None:
raise HTTPException(status_code=404, detail="City not found")
stmt = (
select(
Place,
PlaceContent,
func.ST_X(cast(Place.location, Geometry)).label("lon"),
func.ST_Y(cast(Place.location, Geometry)).label("lat"),
)
.join(
PlaceContent,
and_(
PlaceContent.place_id == Place.id,
PlaceContent.language == lang,
PlaceContent.length == "short",
),
)
.where(Place.city_id == city.id, Place.is_active.is_(True))
)
if category is not None:
stmt = stmt.where(Place.category == category)
if district is not None:
stmt = stmt.where(Place.district == district)
if q is not None:
stmt = stmt.where(PlaceContent.title.ilike(f"%{q}%"))
rows = db.execute(stmt).all()
return [
PlaceListItem(id=p.id, slug=p.slug, category=p.category, name=pc.title, location=LatLon(lat=lat, lon=lon))
for p, pc, lon, lat in rows
]