Spaces:
Sleeping
Sleeping
File size: 8,300 Bytes
8691ce5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 | """Build the committed synthetic e-commerce "world" for the order-comms task.
Deterministic (fixed seed) and re-runnable: produces identical JSONL every time.
No network, no LLM. Everything is invented and generic — safe to commit/world-read.
Writes data/order_world/{customers,products,orders,order_items,shipments,returns}.jsonl,
which back BOTH tools of the task (duckdb SQL + the mock entity search).
uv run python scripts/build_order_world.py
"""
import json
import random
from datetime import datetime, timedelta
from pathlib import Path
OUT = Path(__file__).resolve().parent.parent / "data" / "order_world"
SEED = 7
BASE = datetime(2026, 6, 15, 12, 0, 0) # "today" the world is anchored to
N_CUSTOMERS = 40
N_PRODUCTS = 60
N_ORDERS = 200
BRANDS = [
"Aurelia", "Kettleworth", "Nordhaus", "Brightleaf", "Pinnacle", "Quill & Co",
"Vantage", "Maple & Oak", "Lumio", "Cragmont", "Sundara", "Driftwood",
]
CATALOG = {
"Kitchen": ["Espresso Machine", "Cast Iron Skillet", "Stand Mixer",
"Electric Kettle", "Chef's Knife Set", "Air Fryer"],
"Electronics": ["Wireless Earbuds", "Bluetooth Speaker", "Noise-Canceling Headphones",
"Smart Thermostat", "4K Action Camera", "Mechanical Keyboard"],
"Home": ["Linen Duvet Set", "Area Rug 5x7", "Arc Floor Lamp",
"Ceramic Vase", "Memory Foam Pillow", "Blackout Curtains"],
"Outdoor": ["2-Person Tent", "Camp Stove", "Hiking Backpack",
"Insulated Water Bottle", "Trekking Poles", "Sleeping Bag"],
"Apparel": ["Rain Jacket", "Merino Wool Socks", "Trail Running Shoes",
"Fleece Pullover", "Canvas Tote", "Leather Belt"],
"Toys": ["Building Block Set", "Wooden Train Set", "Plush Bear",
"Remote Control Car", "Strategy Board Game", "1000pc Puzzle"],
}
CARRIERS = ["Northstar Freight", "BluePost", "RapidShip", "Continental Parcel"]
FIRST = ["Avery", "Jordan", "Riley", "Casey", "Morgan", "Quinn", "Reese", "Skyler",
"Devon", "Harper", "Emerson", "Rowan", "Sasha", "Marlo", "Tatum", "Blair",
"Corey", "Dana", "Elliot", "Frankie", "Glen", "Hollis", "Ira", "Jules"]
LAST = ["Mercer", "Holloway", "Vance", "Ashby", "Calderon", "Doyle", "Esposito",
"Farrow", "Grimaldi", "Hatcher", "Ingram", "Jennings", "Keaton", "Larkin",
"Maddox", "Nakamura", "Oviedo", "Pruitt", "Quintero", "Rhodes", "Salazar",
"Thorne", "Underwood", "Vasquez"]
CITIES = [
("Riverton", "OH"), ("Fairview", "TX"), ("Glendale", "AZ"), ("Ashland", "OR"),
("Bellmont", "NC"), ("Crestwood", "IL"), ("Dunmore", "PA"), ("Easton", "MD"),
("Granville", "NY"), ("Hartwell", "GA"), ("Ironwood", "MI"), ("Junction City", "KS"),
]
RETURN_REASONS = ["arrived damaged", "wrong item received", "no longer needed",
"defective on arrival", "not as described", "changed mind"]
def det_uuid(rng: random.Random) -> str:
return "%08x-%04x-%04x-%04x-%012x" % (
rng.getrandbits(32), rng.getrandbits(16), rng.getrandbits(16),
rng.getrandbits(16), rng.getrandbits(48),
)
def iso(dt: datetime) -> str:
return dt.strftime("%Y-%m-%d %H:%M:%S")
def build() -> dict[str, list[dict]]:
rng = random.Random(SEED)
products = []
for _ in range(N_PRODUCTS):
category = rng.choice(list(CATALOG))
base = rng.choice(CATALOG[category])
brand = rng.choice(BRANDS)
products.append({
"sku": f"SKU-{rng.randint(100000, 999999)}",
"product_name": f"{brand} {base}",
"brand": brand,
"category": category,
"price": round(rng.uniform(12, 480), 2),
})
customers = []
used_emails: set[str] = set()
for _ in range(N_CUSTOMERS):
name = f"{rng.choice(FIRST)} {rng.choice(LAST)}"
handle = name.lower().replace(" ", ".")
email = f"{handle}{rng.randint(1, 99)}@mailbox.example.com"
while email in used_emails:
email = f"{handle}{rng.randint(1, 999)}@mailbox.example.com"
used_emails.add(email)
city, state = rng.choice(CITIES)
customers.append({
"customer_id": det_uuid(rng),
"full_name": name,
"email": email,
"phone": "+1" + "".join(str(rng.randint(0, 9)) for _ in range(10)),
"city": city,
"state_code": state,
})
orders, order_items, shipments, returns = [], [], [], []
for _ in range(N_ORDERS):
cust = rng.choice(customers)
placed = BASE - timedelta(days=rng.randint(0, 60),
hours=rng.randint(0, 23), minutes=rng.randint(0, 59))
order_id = det_uuid(rng)
order_number = f"ORD-{placed:%y%m%d}-{rng.randint(1000, 9999)}"
items = rng.sample(products, rng.randint(1, 3))
total = 0.0
for p in items:
qty = rng.randint(1, 2)
total += qty * p["price"]
order_items.append({
"order_id": order_id, "sku": p["sku"],
"quantity": qty, "unit_price": p["price"],
})
age_days = (BASE - placed).days
# status biased by age; recent orders still moving, older ones resolved
if age_days <= 2:
status = rng.choice(["placed", "paid", "paid", "shipped"])
elif age_days <= 10:
status = rng.choice(["shipped", "shipped", "delivered", "cancelled"])
else:
status = rng.choice(["delivered", "delivered", "delivered", "refunded"])
orders.append({
"order_id": order_id,
"order_number": order_number,
"customer_id": cust["customer_id"],
"order_status": status,
"order_total": round(total, 2),
"placed_at": iso(placed),
"ship_to_city": cust["city"],
"ship_to_state": cust["state_code"],
})
if status != "cancelled":
shipped = placed + timedelta(days=rng.randint(1, 3))
est = shipped + timedelta(days=rng.randint(2, 7))
if status in ("delivered", "refunded"):
ship_status, delivered = "delivered", iso(est - timedelta(days=rng.randint(0, 2)))
elif status == "shipped":
ship_status = rng.choice(["in_transit", "in_transit", "out_for_delivery", "exception"])
delivered = ""
else:
ship_status, delivered = "label_created", ""
shipments.append({
"shipment_id": det_uuid(rng),
"shipment_number": f"SHP-{shipped:%y%m%d}-{rng.randint(1000, 9999)}",
"order_id": order_id,
"carrier": rng.choice(CARRIERS),
"ship_status": ship_status,
"tracking_number": "1Z" + "".join(str(rng.randint(0, 9)) for _ in range(12)),
"shipped_at": iso(shipped),
"est_delivery": iso(est),
"delivered_at": delivered,
})
# ~30% of delivered/refunded orders have a return
if status in ("delivered", "refunded") and rng.random() < 0.4:
p = rng.choice(items)
created = placed + timedelta(days=rng.randint(6, 20))
rstatus = "refunded" if status == "refunded" else \
rng.choice(["requested", "approved", "received"])
returns.append({
"return_id": det_uuid(rng),
"rma_number": f"RMA-{created:%y%m%d}-{rng.randint(1000, 9999)}",
"order_id": order_id,
"sku": p["sku"],
"reason": rng.choice(RETURN_REASONS),
"return_status": rstatus,
"created_at": iso(created),
})
return {
"customers": customers, "products": products, "orders": orders,
"order_items": order_items, "shipments": shipments, "returns": returns,
}
def main() -> None:
OUT.mkdir(parents=True, exist_ok=True)
world = build()
for name, rows in world.items():
path = OUT / f"{name}.jsonl"
with path.open("w") as f:
for row in rows:
f.write(json.dumps(row) + "\n")
print(f"wrote {len(rows):>4} rows -> {path.relative_to(OUT.parent.parent)}")
if __name__ == "__main__":
main()
|