تحليل مجموعة المنافسين

mine = {"latitude": 24.8094, "longitude": 46.6112, "bedrooms": 2, "typeId": "6", "nightly": 450}
CITY, RADIUS_KM = "riyadh", 2.0

import json, os
from jokerprice import all_listings

cache = f"{CITY}-listings.json"
if os.path.exists(cache):
    listings = json.load(open(cache))
else:
    listings = all_listings(CITY)
    json.dump(listings, open(cache, "w"))
print(len(listings), "listings")

from math import radians, sin, cos, asin, sqrt

def km(a_lat, a_lng, b_lat, b_lng):
    d_lat, d_lng = radians(b_lat - a_lat), radians(b_lng - a_lng)
    h = sin(d_lat / 2) ** 2 + cos(radians(a_lat)) * cos(radians(b_lat)) * sin(d_lng / 2) ** 2
    return 6371 * 2 * asin(sqrt(h))

comps = []
for l in listings:
    if l.get("latitude") is None or not l.get("nightly"):
        continue
    if l.get("bedrooms") != mine["bedrooms"] or str(l.get("typeId")) != mine["typeId"]:
        continue
    d = km(mine["latitude"], mine["longitude"], l["latitude"], l["longitude"])
    if d <= RADIUS_KM:
        comps.append({**l, "km": d})
print(len(comps), "comparables")

from statistics import quantiles, median

rates = sorted(c["nightly"] for c in comps)
p25, p50, p75 = quantiles(rates, n=4)
below = sum(r < mine["nightly"] for r in rates)
print(f"Comp set: 25th SAR {p25:.0f} | median SAR {p50:.0f} | 75th SAR {p75:.0f}")
print(f"Your SAR {mine['nightly']} is above {below / len(rates):.0%} of comparables")

rated = [c for c in comps if c.get("rating")]
top = [c["nightly"] for c in rated if c["rating"] >= 9.5]
if top:
    print(f"Median rate of comps rated 9.5+: SAR {median(top):.0f} ({len(top)} listings)")

for c in sorted(comps, key=lambda c: c["km"])[:15]:
    print(f"{c['km']:.2f} km  SAR {c['nightly']:>5}  rating {c.get('rating') or '-':>4}  reviews {c.get('reviews') or 0:>4}  {c['source']:<7} {c.get('district') or ''}")

from jokerprice import api
d = 0.02   # about 2 km
m = api("GET", "/api/v1/metrics", params={"north": mine["latitude"] + d, "south": mine["latitude"] - d,
                                          "east": mine["longitude"] + d, "west": mine["longitude"] - d, "past_days": 60})["metrics"]
print(m["maturity"], "occupancy", m["past"]["occupancy"], "ADR", m["past"]["adr"], "tracked", m["listings"]["tracked"])