File size: 4,550 Bytes
574abd7 | 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 | """Generate the three synthetic Open Data Notes tables.
Every value comes from this script and a fixed seed. No real city, place, survey or person is
described. Run `python generate.py` to rebuild `data/` byte for byte.
"""
import csv
import random
from datetime import date, timedelta
from pathlib import Path
SEED = 2026
OUT = Path(__file__).parent / "data"
DISTRICTS = ["North", "Riverside", "Old Town", "Harbour", "Eastfield", "Hillcrest", "Westgate"]
STREET_WORDS = ["Mill", "Station", "Orchard", "Church", "Market", "Bridge", "Park", "Quarry",
"Willow", "Garden", "Canal", "School", "Chapel", "Meadow", "Forge", "Ash"]
STREET_KINDS = ["Road", "Street", "Lane", "Avenue", "Way", "Hill"]
SPECIES = [
("London plane", "Platanus x acerifolia"),
("Small-leaved lime", "Tilia cordata"),
("Norway maple", "Acer platanoides"),
("Silver birch", "Betula pendula"),
("Common hornbeam", "Carpinus betulus"),
("Rowan", "Sorbus aucuparia"),
("Field maple", "Acer campestre"),
("Wild cherry", "Prunus avium"),
("Pedunculate oak", "Quercus robur"),
("Ginkgo", "Ginkgo biloba"),
]
CONDITIONS = ["good", "good", "good", "fair", "fair", "poor", "dead"]
def street(rng: random.Random) -> str:
return f"{rng.choice(STREET_WORDS)} {rng.choice(STREET_KINDS)}"
def bus_stops(rng: random.Random) -> list[dict]:
rows = []
start = date(2025, 3, 3)
for n in range(1, 1241):
shelter = rng.random() < 0.55
rows.append(
{
"stop_id": f"BS{n:04d}",
"stop_name": f"{street(rng)} {rng.choice(['North', 'South', 'East', 'West', ''])}".strip(),
"district": rng.choice(DISTRICTS),
"x_m": rng.randint(0, 12_000),
"y_m": rng.randint(0, 9_000),
"shelter": "yes" if shelter else "no",
"bench": "yes" if shelter or rng.random() < 0.2 else "no",
"step_free_access": "yes" if rng.random() < 0.72 else "no",
"tactile_paving": "yes" if rng.random() < 0.48 else "no",
"audio_announcements": "yes" if rng.random() < 0.31 else "no",
"surveyed_on": (start + timedelta(days=rng.randint(0, 200))).isoformat(),
}
)
return rows
def libraries(rng: random.Random) -> list[dict]:
rows = []
for n in range(1, 39):
large = rng.random() < 0.3
opens = "09:00" if large else rng.choice(["09:30", "10:00"])
closes = "20:00" if large else rng.choice(["17:00", "17:30", "18:00"])
row = {
"branch_id": f"LB{n:02d}",
"branch_name": f"{rng.choice(STREET_WORDS)} {'Central ' if large else ''}Library",
"district": rng.choice(DISTRICTS),
}
for day in ("mon", "tue", "wed", "thu", "fri"):
row[day] = "closed" if not large and rng.random() < 0.12 else f"{opens}-{closes}"
row["sat"] = "10:00-16:00" if rng.random() < 0.8 else "closed"
row["sun"] = "12:00-16:00" if large else "closed"
rows.append(row)
return rows
def trees(rng: random.Random) -> list[dict]:
rows = []
for n in range(1, 5001):
common, latin = rng.choice(SPECIES)
planted = rng.randint(1950, 2023)
age = 2024 - planted
diameter = max(4, round(age * rng.uniform(0.6, 1.4)))
rows.append(
{
"tree_id": f"T{n:05d}",
"species_common": common,
"species_latin": latin,
"district": rng.choice(DISTRICTS),
"street": street(rng),
"x_m": rng.randint(0, 12_000),
"y_m": rng.randint(0, 9_000),
"planted_year": planted,
"trunk_diameter_cm": diameter,
"height_m": round(min(30.0, 2 + diameter * rng.uniform(0.15, 0.3)), 1),
"condition": rng.choice(CONDITIONS),
}
)
return rows
def write(name: str, rows: list[dict]) -> None:
OUT.mkdir(exist_ok=True)
with (OUT / name).open("w", newline="") as f:
writer = csv.DictWriter(f, fieldnames=list(rows[0]), lineterminator="\n")
writer.writeheader()
writer.writerows(rows)
print(f"{name}: {len(rows)} rows")
def main() -> None:
rng = random.Random(SEED)
write("bus_stop_accessibility_2025.csv", bus_stops(rng))
write("library_opening_hours_2026.csv", libraries(rng))
write("street_tree_inventory_sample_2024.csv", trees(rng))
if __name__ == "__main__":
main()
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