ابنِ خطة أسعار ليلية من بيانات السوق

from jokerprice import api

home = {"latitude": 21.5675, "longitude": 39.1293, "bedrooms": 2, "typeId": "6"}
est = api("POST", "/api/v1/estimate", json={**home, "radiusKm": 2})["estimate"]
base_rate = est["adr"]["value"]
print("base rate SAR", round(base_rate), "from", est["adr"]["basis"], "|", est["asking"]["count"], "comps")

d = 0.03
area = {"north": home["latitude"] + d, "south": home["latitude"] - d, "east": home["longitude"] + d, "west": home["longitude"] - d}
m = api("GET", "/api/v1/metrics", params={**area, "past_days": 90, "forward_days": 60})["metrics"]

overall = m["past"]["adr"]
multiplier = {}
for day in m["byWeekday"]:
    ok = overall and day["adr"] and day["nights"] >= 50
    multiplier[day["weekday"]] = min(1.4, max(0.8, day["adr"] / overall)) if ok else 1.0
print({k: round(v, 2) for k, v in multiplier.items()})

lead = {b["label"]: b["nights"] for b in m["leadTimes"]}
total = sum(lead.values()) or 1
late_share = lead.get("0–1 days", 0) / total
last_minute = 1.0 if late_share >= 0.2 else 0.9
print(f"{late_share:.0%} of booked nights were booked 0-1 days ahead -> last-minute factor {last_minute}")

import csv, datetime

today = datetime.date.today()
with open("rate-plan.csv", "w", newline="") as f:
    out = csv.writer(f)
    out.writerow(["date", "weekday", "rate_sar"])
    for i in range(30):
        day = today + datetime.timedelta(days=i)
        weekday = (day.weekday() + 1) % 7        # Python Monday=0 -> API Sunday=0
        rate = base_rate * multiplier.get(weekday, 1.0) * (last_minute if i <= 1 else 1.0)
        out.writerow([day.isoformat(), weekday, round(rate / 5) * 5])