/
fake_data.py
54 lines (44 loc) · 1.49 KB
/
fake_data.py
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#!/usr/bin/env python
import argparse
import json
from decimal import Decimal
from datetime import datetime, date
from faker import Faker
fake = Faker('ja-JP')
def default(obj):
if isinstance(obj, datetime):
return obj.isoformat()
if isinstance(obj, date):
return obj.isoformat()
if isinstance(obj, Decimal):
return float(obj)
if isinstance(obj, (list, tuple)):
return [default(o) for o in obj]
return None
def generate_fake_data(num_records, path):
data = []
for i in range(num_records):
id = fake.uuid4()
profile = {
**fake.profile(),
"id": id,
"serial_number": i,
"saving": fake.random_number(),
"saving": fake.random_number(),
"married": fake.boolean(),
"favirite_words": fake.words(),
"note": fake.text(),
"ip_address": fake.ipv4(),
"created_at": fake.date_time_this_year(),
"updated_at": fake.date_time_this_month(),
}
data += [{"index" : {"_id" : id }}, profile]
jsonl = "\n".join(json.dumps(d, ensure_ascii=False, default=default) for d in data) + "\n"
with open(path, "w") as f:
f.write(jsonl)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--num", type=int, default=1000)
parser.add_argument("--path", type=str, default="fake_data.jsonl")
args = parser.parse_args()
generate_fake_data(args.num, args.path)