Data_Lab/Scripts/branches.py
2025-12-14 20:38:54 -07:00

64 lines
1.7 KiB
Python

from faker import Faker
from dotenv import load_dotenv
import os
import json
import boto3
from datetime import datetime, timezone
import uuid
# ---- Setup ----
fake = Faker()
load_dotenv()
s3 = boto3.client(
's3',
endpoint_url=os.getenv('STORAGE_ENDPOINT'),
aws_access_key_id=os.getenv('STORAGE_ACCESS_KEY'),
aws_secret_access_key=os.getenv('STORAGE_SECRET_KEY')
)
bucket_name = os.getenv('STORAGE_BUCKET')
# Bronze landing zone (RAW)
branches_prefix = "bronze/branches_raw/"
# ---- Generate branch events ----
events = []
now_utc = datetime.now(timezone.utc)
for _ in range(3):
event = {
"event_id": str(uuid.uuid4()),
"event_type": "branch_created",
"event_ts": now_utc.isoformat(),
"branch": {
"branch_id": str(uuid.uuid4()),
"branch_name": f"{fake.city()} Branch",
"address": fake.street_address(),
"city": fake.city(),
"state": fake.state_abbr(),
"open_date": fake.date_between(start_date="-30d", end_date="today").isoformat(), # New in the last 30 days
"employee_count": fake.random_int(min=5, max=50),
"branch_manager": fake.name(),
"phone_number": fake.phone_number(),
"timezone": fake.timezone()
},
"source_system": "branch_generator",
"ingestion_ts": now_utc.isoformat()
}
events.append(event)
# ---- Write events as JSON lines ----
key = f"{branches_prefix}batch_{now_utc.strftime('%Y%m%d_%H%M%S')}.json"
body = "\n".join(json.dumps(e) for e in events)
s3.put_object(
Bucket=bucket_name,
Key=key,
Body=body.encode("utf-8")
)
print(f"Wrote {len(events)} raw branch events to s3://{bucket_name}/{key}")