feat: separate sql
This commit is contained in:
@@ -1,17 +1,16 @@
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"""Application configuration from environment variables."""
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import os
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from pathlib import Path
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SQL_DIR = Path(__file__).parent / "sql"
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class Settings:
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"""Application settings loaded from environment variables.
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Configure via DATABASE_URL (single connection string) or individual
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POSTGRES_* variables. The application expects the target database to
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contain:
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- A listings table (default: marts.funda_listings)
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- An ELO schema with ratings, comparisons, and sample_listings tables
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(default: elo.*)
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POSTGRES_* variables.
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"""
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POSTGRES_HOST: str = os.getenv("POSTGRES_HOST", "localhost")
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@@ -23,6 +22,8 @@ class Settings:
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LISTINGS_SCHEMA: str = os.getenv("LISTINGS_SCHEMA", "marts")
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LISTINGS_TABLE: str = os.getenv("LISTINGS_TABLE", "funda_listings")
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ELO_SCHEMA: str = os.getenv("ELO_SCHEMA", "elo")
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IMAGES_SCHEMA: str = os.getenv("IMAGES_SCHEMA", "raw_funda")
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IMAGES_TABLE: str = os.getenv("IMAGES_TABLE", "listing_details")
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K_FACTOR: float = float(os.getenv("ELO_K_FACTOR", "32"))
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DEFAULT_ELO: float = float(os.getenv("ELO_DEFAULT_RATING", "1500"))
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@@ -39,3 +40,15 @@ class Settings:
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settings = Settings()
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def load_sql(name: str) -> str:
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"""Load a SQL template from the sql/ directory and inject schema/table names."""
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raw = (SQL_DIR / name).read_text()
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return raw.format(
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listings_schema=settings.LISTINGS_SCHEMA,
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listings_table=settings.LISTINGS_TABLE,
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elo_schema=settings.ELO_SCHEMA,
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images_schema=settings.IMAGES_SCHEMA,
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images_table=settings.IMAGES_TABLE,
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)
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@@ -1,29 +1,9 @@
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"""Shared query helpers for listing data."""
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from app.config import settings
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from app.config import load_sql, settings
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from app.schemas import ListingResponse
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LISTING_SELECT = f"""
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SELECT
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l.global_id, l.tiny_id, l.url, l.title, l.city, l.postcode,
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l.province, l.neighbourhood, l.municipality,
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l.latitude, l.longitude,
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l.object_type, l.house_type, l.offering_type,
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l.construction_type, l.construction_year,
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l.energy_label, l.living_area, l.plot_area,
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l.bedrooms, l.rooms,
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l.has_garden, l.has_balcony, l.has_solar_panels,
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l.has_heat_pump, l.has_roof_terrace,
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l.is_energy_efficient, l.is_monument,
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l.current_price, l.status, l.price_per_sqm,
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l.publication_date,
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COALESCE(r.elo_rating, {settings.DEFAULT_ELO}) AS elo_rating,
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COALESCE(r.comparison_count, 0) AS comparison_count,
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COALESCE(r.wins, 0) AS wins,
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COALESCE(r.losses, 0) AS losses
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FROM {settings.LISTINGS_SCHEMA}.{settings.LISTINGS_TABLE} l
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LEFT JOIN {settings.ELO_SCHEMA}.ratings r ON l.global_id = r.global_id
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"""
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LISTING_SELECT = load_sql("listing_select.sql")
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def row_to_listing(row) -> ListingResponse:
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@@ -6,7 +6,7 @@ from fastapi import APIRouter, Depends, HTTPException
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from sqlalchemy import text
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from sqlalchemy.orm import Session
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from app.config import settings
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from app.config import load_sql, settings
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from app.database import get_db
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from app.elo import calculate_elo
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from app.models import Comparison, EloRating
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@@ -21,25 +21,22 @@ from app.schemas import (
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router = APIRouter()
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SAMPLE_JOIN = (
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f" inner join {settings.ELO_SCHEMA}.sample_listings as s"
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f" on l.global_id = s.global_id"
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)
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@router.get("/matchup", response_model=MatchupResponse)
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def get_matchup(
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status: str | None = None,
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db: Session = Depends(get_db),
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):
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"""Return a weighted-random pair of listings for comparison.
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Only listings in the stable sample (elo.sample_listings) are considered.
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Listings with fewer comparisons are more likely to appear, ensuring
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broad coverage across all properties.
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"""
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query = LISTING_SELECT + f"""
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INNER JOIN {settings.ELO_SCHEMA}.sample_listings s
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ON l.global_id = s.global_id
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"""
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params: dict = {}
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"""Return a weighted-random pair of listings for comparison."""
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query = LISTING_SELECT + SAMPLE_JOIN
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params: dict = {"default_elo": settings.DEFAULT_ELO}
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if status and status != "all":
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query += " WHERE l.status = :status"
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query += " where l.status = :status"
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params["status"] = status
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result = db.execute(text(query), params)
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listings = [row_to_listing(row) for row in result]
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@@ -50,33 +47,21 @@ def get_matchup(
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detail="Not enough listings for comparison (need at least 2).",
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)
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# Gather recent pairs to avoid immediate repeats
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recent = db.execute(
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text(
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f"SELECT listing_a_id, listing_b_id "
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f"FROM {settings.ELO_SCHEMA}.comparisons "
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f"ORDER BY created_at DESC LIMIT 20"
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)
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)
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recent = db.execute(text(load_sql("recent_pairs.sql")))
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recent_pairs = {
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frozenset([r.listing_a_id, r.listing_b_id]) for r in recent
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}
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# Weight by inverse comparison count (prioritise less-compared houses)
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weights = [1.0 / (l.comparison_count + 1) ** 1.5 for l in listings]
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# Pick first listing
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first = random.choices(listings, weights=weights, k=1)[0]
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# Pick second listing (exclude first, avoid recent repeats)
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remaining = [l for l in listings if l.global_id != first.global_id]
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remaining_weights = [1.0 / (l.comparison_count + 1) ** 1.5 for l in remaining]
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second = remaining[0] # fallback
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second = remaining[0]
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for _ in range(20):
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candidate = random.choices(remaining, weights=remaining_weights, k=1)[0]
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pair = frozenset([first.global_id, candidate.global_id])
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if pair not in recent_pairs:
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if frozenset([first.global_id, candidate.global_id]) not in recent_pairs:
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second = candidate
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break
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else:
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@@ -88,37 +73,24 @@ def get_matchup(
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@router.post("/compare", response_model=CompareResponse)
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def submit_comparison(body: CompareRequest, db: Session = Depends(get_db)):
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"""Record a comparison result and update ELO ratings."""
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winner_id = body.winner_id
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loser_id = body.loser_id
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if winner_id == loser_id:
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if body.winner_id == body.loser_id:
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raise HTTPException(status_code=400, detail="Winner and loser must differ.")
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# Get or create rating records
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winner_rating = db.query(EloRating).filter_by(global_id=winner_id).first()
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if not winner_rating:
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winner_rating = EloRating(
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global_id=winner_id, elo_rating=settings.DEFAULT_ELO
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)
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db.add(winner_rating)
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def get_or_create_rating(global_id: str) -> EloRating:
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rating = db.query(EloRating).filter_by(global_id=global_id).first()
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if not rating:
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rating = EloRating(global_id=global_id, elo_rating=settings.DEFAULT_ELO)
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db.add(rating)
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db.flush()
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return rating
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loser_rating = db.query(EloRating).filter_by(global_id=loser_id).first()
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if not loser_rating:
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loser_rating = EloRating(
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global_id=loser_id, elo_rating=settings.DEFAULT_ELO
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)
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db.add(loser_rating)
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db.flush()
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winner_rating = get_or_create_rating(body.winner_id)
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loser_rating = get_or_create_rating(body.loser_id)
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elo_w_before = winner_rating.elo_rating
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elo_l_before = loser_rating.elo_rating
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new_elo_w, new_elo_l = calculate_elo(elo_w_before, elo_l_before, settings.K_FACTOR)
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new_elo_w, new_elo_l = calculate_elo(
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elo_w_before, elo_l_before, settings.K_FACTOR
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)
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# Update ratings
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winner_rating.elo_rating = new_elo_w
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winner_rating.comparison_count += 1
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winner_rating.wins += 1
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@@ -127,12 +99,11 @@ def submit_comparison(body: CompareRequest, db: Session = Depends(get_db)):
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loser_rating.comparison_count += 1
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loser_rating.losses += 1
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# Record comparison
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db.add(
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Comparison(
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listing_a_id=winner_id,
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listing_b_id=loser_id,
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winner_id=winner_id,
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listing_a_id=body.winner_id,
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listing_b_id=body.loser_id,
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winner_id=body.winner_id,
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elo_a_before=elo_w_before,
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elo_b_before=elo_l_before,
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elo_a_after=new_elo_w,
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@@ -142,39 +113,16 @@ def submit_comparison(body: CompareRequest, db: Session = Depends(get_db)):
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db.commit()
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return CompareResponse(
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winner_id=winner_id,
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loser_id=loser_id,
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winner_id=body.winner_id,
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loser_id=body.loser_id,
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elo_change=round(new_elo_w - elo_w_before, 1),
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new_winner_elo=round(new_elo_w, 1),
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new_loser_elo=round(new_elo_l, 1),
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)
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@router.get("/history", response_model=list[ComparisonHistoryItem])
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def get_history(
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limit: int = 50,
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db: Session = Depends(get_db),
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):
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"""Return recent comparisons."""
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query = f"""
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SELECT
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c.*,
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a.title AS listing_a_title,
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b.title AS listing_b_title,
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w.title AS winner_title
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FROM {settings.ELO_SCHEMA}.comparisons c
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LEFT JOIN {settings.LISTINGS_SCHEMA}.{settings.LISTINGS_TABLE} a
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ON c.listing_a_id = a.global_id
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LEFT JOIN {settings.LISTINGS_SCHEMA}.{settings.LISTINGS_TABLE} b
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ON c.listing_b_id = b.global_id
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LEFT JOIN {settings.LISTINGS_SCHEMA}.{settings.LISTINGS_TABLE} w
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ON c.winner_id = w.global_id
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ORDER BY c.created_at DESC
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LIMIT :limit
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"""
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rows = db.execute(text(query), {"limit": limit})
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return [
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ComparisonHistoryItem(
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def _row_to_history(r) -> ComparisonHistoryItem:
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return ComparisonHistoryItem(
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id=r.id,
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listing_a_title=r.listing_a_title,
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listing_b_title=r.listing_b_title,
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@@ -188,86 +136,35 @@ def get_history(
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elo_b_after=round(r.elo_b_after, 1),
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created_at=r.created_at,
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)
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for r in rows
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]
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@router.get("/history", response_model=list[ComparisonHistoryItem])
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def get_history(limit: int = 50, db: Session = Depends(get_db)):
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"""Return recent comparisons."""
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rows = db.execute(text(load_sql("history.sql")), {"limit": limit})
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return [_row_to_history(r) for r in rows]
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@router.get("/stats", response_model=StatsResponse)
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def get_stats(db: Session = Depends(get_db)):
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"""Return aggregate statistics about comparisons and ratings."""
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total_comparisons = db.execute(
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text(f"SELECT COUNT(*) FROM {settings.ELO_SCHEMA}.comparisons")
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).scalar() or 0
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total_rated = db.execute(
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text(f"SELECT COUNT(*) FROM {settings.ELO_SCHEMA}.ratings")
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).scalar() or 0
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total_listings = db.execute(
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text(
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f"SELECT COUNT(*) FROM {settings.LISTINGS_SCHEMA}.{settings.LISTINGS_TABLE}"
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)
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).scalar() or 0
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elo_agg = db.execute(
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text(
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f"SELECT AVG(elo_rating), MAX(elo_rating), MIN(elo_rating) "
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f"FROM {settings.ELO_SCHEMA}.ratings"
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)
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).first()
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total_comparisons = db.execute(text(load_sql("count_comparisons.sql"))).scalar() or 0
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total_rated = db.execute(text(load_sql("count_rated.sql"))).scalar() or 0
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total_listings = db.execute(text(load_sql("count_listings.sql"))).scalar() or 0
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elo_agg = db.execute(text(load_sql("elo_aggregates.sql"))).first()
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avg_elo = round(float(elo_agg[0]), 1) if elo_agg and elo_agg[0] else None
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max_elo = round(float(elo_agg[1]), 1) if elo_agg and elo_agg[1] else None
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min_elo = round(float(elo_agg[2]), 1) if elo_agg and elo_agg[2] else None
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# ELO distribution in buckets of 50
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dist_rows = db.execute(
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text(
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f"SELECT FLOOR(elo_rating / 50) * 50 AS bucket, COUNT(*) AS count "
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f"FROM {settings.ELO_SCHEMA}.ratings "
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f"GROUP BY bucket ORDER BY bucket"
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)
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)
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dist_rows = db.execute(text(load_sql("elo_distribution.sql")))
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elo_distribution = [
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{"bucket": f"{int(r.bucket)}-{int(r.bucket) + 49}", "count": r.count}
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for r in dist_rows
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]
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# Recent comparisons
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recent_query = f"""
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SELECT
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c.*,
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a.title AS listing_a_title,
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b.title AS listing_b_title,
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w.title AS winner_title
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FROM {settings.ELO_SCHEMA}.comparisons c
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LEFT JOIN {settings.LISTINGS_SCHEMA}.{settings.LISTINGS_TABLE} a
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ON c.listing_a_id = a.global_id
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LEFT JOIN {settings.LISTINGS_SCHEMA}.{settings.LISTINGS_TABLE} b
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ON c.listing_b_id = b.global_id
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LEFT JOIN {settings.LISTINGS_SCHEMA}.{settings.LISTINGS_TABLE} w
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ON c.winner_id = w.global_id
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ORDER BY c.created_at DESC
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LIMIT 10
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"""
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recent_rows = db.execute(text(recent_query))
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recent_comparisons = [
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ComparisonHistoryItem(
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id=r.id,
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listing_a_title=r.listing_a_title,
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listing_b_title=r.listing_b_title,
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winner_title=r.winner_title,
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listing_a_id=r.listing_a_id,
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listing_b_id=r.listing_b_id,
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winner_id=r.winner_id,
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elo_a_before=round(r.elo_a_before, 1),
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elo_b_before=round(r.elo_b_before, 1),
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elo_a_after=round(r.elo_a_after, 1),
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elo_b_after=round(r.elo_b_after, 1),
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created_at=r.created_at,
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)
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for r in recent_rows
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]
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recent_rows = db.execute(text(load_sql("history.sql")), {"limit": 10})
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recent_comparisons = [_row_to_history(r) for r in recent_rows]
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return StatsResponse(
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total_comparisons=total_comparisons,
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@@ -1,10 +1,10 @@
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"""Image endpoints – retrieve photo URLs from the raw Funda data."""
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"""Image endpoints – retrieve photo URLs from listing data."""
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from fastapi import APIRouter, Depends, HTTPException
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from fastapi import APIRouter, Depends
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from sqlalchemy import text
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from sqlalchemy.orm import Session
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from app.config import settings
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from app.config import load_sql
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from app.database import get_db
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router = APIRouter()
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@@ -15,15 +15,8 @@ def get_listing_images(
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global_id: str,
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db: Session = Depends(get_db),
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) -> dict[str, list[str]]:
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"""Return image URLs for a listing from the raw Funda JSON data."""
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row = db.execute(
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text(
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"SELECT raw_json->'photo_urls' AS photo_urls "
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"FROM raw_funda.listing_details "
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"WHERE global_id = :gid"
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),
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{"gid": global_id},
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).first()
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"""Return image URLs for a listing."""
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row = db.execute(text(load_sql("listing_images.sql")), {"gid": global_id}).first()
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if not row or not row.photo_urls:
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return {"images": []}
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@@ -1,9 +1,10 @@
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"""Listing endpoints – read-only access to Funda data with ELO ratings."""
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"""Listing endpoints – read-only access to listing data with ELO ratings."""
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from fastapi import APIRouter, Depends, HTTPException
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from sqlalchemy import text
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from sqlalchemy.orm import Session
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from app.config import settings
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from app.database import get_db
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from app.queries import LISTING_SELECT, row_to_listing
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from app.schemas import ListingResponse
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@@ -18,11 +19,11 @@ def get_listings(
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):
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"""Return all listings with their current ELO rating."""
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query = LISTING_SELECT
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params: dict = {}
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params: dict = {"default_elo": settings.DEFAULT_ELO}
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if status and status != "all":
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query += " WHERE l.status = :status"
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query += " where l.status = :status"
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params["status"] = status
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query += " ORDER BY elo_rating DESC"
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query += " order by elo_rating desc"
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result = db.execute(text(query), params)
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return [row_to_listing(row) for row in result]
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@@ -30,8 +31,10 @@ def get_listings(
|
||||
@router.get("/listings/{global_id}", response_model=ListingResponse)
|
||||
def get_listing(global_id: str, db: Session = Depends(get_db)):
|
||||
"""Return a single listing by its global_id."""
|
||||
query = LISTING_SELECT + " WHERE l.global_id = :global_id"
|
||||
row = db.execute(text(query), {"global_id": global_id}).first()
|
||||
query = LISTING_SELECT + " where l.global_id = :global_id"
|
||||
row = db.execute(
|
||||
text(query), {"global_id": global_id, "default_elo": settings.DEFAULT_ELO}
|
||||
).first()
|
||||
if not row:
|
||||
raise HTTPException(status_code=404, detail="Listing not found")
|
||||
return row_to_listing(row)
|
||||
|
||||
@@ -11,6 +11,11 @@ from app.schemas import RankingResponse
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
SAMPLE_JOIN = (
|
||||
f" inner join {settings.ELO_SCHEMA}.sample_listings as s"
|
||||
f" on l.global_id = s.global_id"
|
||||
)
|
||||
|
||||
|
||||
@router.get("/rankings", response_model=list[RankingResponse])
|
||||
def get_rankings(
|
||||
@@ -19,21 +24,15 @@ def get_rankings(
|
||||
offset: int = 0,
|
||||
db: Session = Depends(get_db),
|
||||
):
|
||||
"""Return listings ranked by ELO rating (highest first).
|
||||
|
||||
Only listings in the stable sample (elo.sample_listings) are shown.
|
||||
"""
|
||||
query = LISTING_SELECT + f"""
|
||||
INNER JOIN {settings.ELO_SCHEMA}.sample_listings s
|
||||
ON l.global_id = s.global_id
|
||||
"""
|
||||
params: dict = {"limit": limit, "offset": offset}
|
||||
"""Return listings ranked by ELO rating (highest first)."""
|
||||
query = LISTING_SELECT + SAMPLE_JOIN
|
||||
params: dict = {"limit": limit, "offset": offset, "default_elo": settings.DEFAULT_ELO}
|
||||
|
||||
if status and status != "all":
|
||||
query += " WHERE l.status = :status"
|
||||
query += " where l.status = :status"
|
||||
params["status"] = status
|
||||
|
||||
query += " ORDER BY elo_rating DESC, l.current_price DESC LIMIT :limit OFFSET :offset"
|
||||
query += " order by elo_rating desc, l.current_price desc limit :limit offset :offset"
|
||||
result = db.execute(text(query), params)
|
||||
listings = [row_to_listing(row) for row in result]
|
||||
|
||||
|
||||
@@ -6,7 +6,7 @@ from pydantic import BaseModel
|
||||
|
||||
|
||||
class ListingResponse(BaseModel):
|
||||
"""Funda listing combined with its ELO rating data."""
|
||||
"""Listing combined with its ELO rating data."""
|
||||
|
||||
global_id: str
|
||||
tiny_id: str | None = None
|
||||
@@ -105,6 +105,3 @@ class StatsResponse(BaseModel):
|
||||
min_elo: float | None
|
||||
elo_distribution: list[dict]
|
||||
recent_comparisons: list[ComparisonHistoryItem]
|
||||
|
||||
|
||||
|
||||
|
||||
1
backend/app/sql/count_comparisons.sql
Normal file
1
backend/app/sql/count_comparisons.sql
Normal file
@@ -0,0 +1 @@
|
||||
select count(*) from {elo_schema}.comparisons
|
||||
1
backend/app/sql/count_listings.sql
Normal file
1
backend/app/sql/count_listings.sql
Normal file
@@ -0,0 +1 @@
|
||||
select count(*) from {listings_schema}.{listings_table}
|
||||
1
backend/app/sql/count_rated.sql
Normal file
1
backend/app/sql/count_rated.sql
Normal file
@@ -0,0 +1 @@
|
||||
select count(*) from {elo_schema}.ratings
|
||||
5
backend/app/sql/elo_aggregates.sql
Normal file
5
backend/app/sql/elo_aggregates.sql
Normal file
@@ -0,0 +1,5 @@
|
||||
select
|
||||
avg(elo_rating),
|
||||
max(elo_rating),
|
||||
min(elo_rating)
|
||||
from {elo_schema}.ratings
|
||||
6
backend/app/sql/elo_distribution.sql
Normal file
6
backend/app/sql/elo_distribution.sql
Normal file
@@ -0,0 +1,6 @@
|
||||
select
|
||||
floor(elo_rating / 50) * 50 as bucket,
|
||||
count(*) as count
|
||||
from {elo_schema}.ratings
|
||||
group by bucket
|
||||
order by bucket
|
||||
14
backend/app/sql/history.sql
Normal file
14
backend/app/sql/history.sql
Normal file
@@ -0,0 +1,14 @@
|
||||
select
|
||||
c.*,
|
||||
a.title as listing_a_title,
|
||||
b.title as listing_b_title,
|
||||
w.title as winner_title
|
||||
from {elo_schema}.comparisons as c
|
||||
left join {listings_schema}.{listings_table} as a
|
||||
on c.listing_a_id = a.global_id
|
||||
left join {listings_schema}.{listings_table} as b
|
||||
on c.listing_b_id = b.global_id
|
||||
left join {listings_schema}.{listings_table} as w
|
||||
on c.winner_id = w.global_id
|
||||
order by c.created_at desc
|
||||
limit :limit
|
||||
4
backend/app/sql/listing_images.sql
Normal file
4
backend/app/sql/listing_images.sql
Normal file
@@ -0,0 +1,4 @@
|
||||
select
|
||||
raw_json -> 'photo_urls' as photo_urls
|
||||
from {images_schema}.{images_table}
|
||||
where global_id = :gid
|
||||
40
backend/app/sql/listing_select.sql
Normal file
40
backend/app/sql/listing_select.sql
Normal file
@@ -0,0 +1,40 @@
|
||||
select
|
||||
l.global_id,
|
||||
l.tiny_id,
|
||||
l.url,
|
||||
l.title,
|
||||
l.city,
|
||||
l.postcode,
|
||||
l.province,
|
||||
l.neighbourhood,
|
||||
l.municipality,
|
||||
l.latitude,
|
||||
l.longitude,
|
||||
l.object_type,
|
||||
l.house_type,
|
||||
l.offering_type,
|
||||
l.construction_type,
|
||||
l.construction_year,
|
||||
l.energy_label,
|
||||
l.living_area,
|
||||
l.plot_area,
|
||||
l.bedrooms,
|
||||
l.rooms,
|
||||
l.has_garden,
|
||||
l.has_balcony,
|
||||
l.has_solar_panels,
|
||||
l.has_heat_pump,
|
||||
l.has_roof_terrace,
|
||||
l.is_energy_efficient,
|
||||
l.is_monument,
|
||||
l.current_price,
|
||||
l.status,
|
||||
l.price_per_sqm,
|
||||
l.publication_date,
|
||||
coalesce(r.elo_rating, :default_elo) as elo_rating,
|
||||
coalesce(r.comparison_count, 0) as comparison_count,
|
||||
coalesce(r.wins, 0) as wins,
|
||||
coalesce(r.losses, 0) as losses
|
||||
from {listings_schema}.{listings_table} as l
|
||||
left join {elo_schema}.ratings as r
|
||||
on l.global_id = r.global_id
|
||||
6
backend/app/sql/recent_pairs.sql
Normal file
6
backend/app/sql/recent_pairs.sql
Normal file
@@ -0,0 +1,6 @@
|
||||
select
|
||||
listing_a_id,
|
||||
listing_b_id
|
||||
from {elo_schema}.comparisons
|
||||
order by created_at desc
|
||||
limit 20
|
||||
Reference in New Issue
Block a user