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

140 lines
4.5 KiB
Python

from faker import Faker
from dotenv import load_dotenv
import os
import json
import boto3
from datetime import datetime, timezone
import uuid
import random
# ---- 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")
branches_prefix = "bronze/branches_raw/"
employees_prefix = "bronze/employees_raw/"
# ------------------------------------------------
# Load branch IDs
# ------------------------------------------------
branch_ids = []
resp = s3.list_objects_v2(Bucket=bucket_name, Prefix=branches_prefix)
for obj in resp.get("Contents", []):
body = s3.get_object(Bucket=bucket_name, Key=obj["Key"])["Body"].read()
for line in body.decode("utf-8").splitlines():
record = json.loads(line)
branch_ids.append(record["branch"]["branch_id"])
if not branch_ids:
raise ValueError("No branch IDs found")
# ------------------------------------------------
# Load existing employees from bronze
# ------------------------------------------------
existing_employee_ids = []
resp = s3.list_objects_v2(Bucket=bucket_name, Prefix=employees_prefix)
for obj in resp.get("Contents", []):
body = s3.get_object(Bucket=bucket_name, Key=obj["Key"])["Body"].read()
for line in body.decode("utf-8").splitlines():
record = json.loads(line)
if "employee" in record:
existing_employee_ids.append(record["employee"]["employee_id"])
existing_employee_ids = list(set(existing_employee_ids))
# ------------------------------------------------
# Event generation config
# ------------------------------------------------
NEW_EMPLOYEES = 60
TERMINATIONS = min(len(existing_employee_ids), random.randint(10, 30))
events = []
# ------------------------------------------------
# Create new employees
# ------------------------------------------------
for _ in range(NEW_EMPLOYEES):
birth_date = fake.date_between(start_date="-65y", end_date="-18y")
event = {
"event_id": str(uuid.uuid4()),
"event_type": "employee_created",
"event_ts": datetime.now(timezone.utc).isoformat(),
"employee": {
"employee_id": str(uuid.uuid4()),
"first_name": fake.first_name(),
"last_name": fake.last_name(),
"birth_date": birth_date.isoformat(),
"email": fake.email(),
"phone_number": fake.phone_number(),
"married": random.choice([True, False, None]),
"job_title": fake.job(),
"salary": random.randint(35000, 140000),
"work_satisfaction": random.randint(1, 5),
"hire_date": fake.date_between(start_date="-30d", end_date="today").isoformat(),
"employment_type": random.choice(["full_time", "part_time", "contract"]),
"remote": fake.boolean(),
"branch_id": random.choice(branch_ids)
},
"source_system": "employee_generator",
"ingestion_ts": datetime.now(timezone.utc).isoformat()
}
events.append(event)
# ------------------------------------------------
# Terminate existing employees
# ------------------------------------------------
terminated_ids = random.sample(existing_employee_ids, TERMINATIONS)
for emp_id in terminated_ids:
event = {
"event_id": str(uuid.uuid4()),
"event_type": "employee_terminated",
"event_ts": datetime.now(timezone.utc).isoformat(),
"employee": {
"employee_id": emp_id,
"termination_reason": random.choice(
["Resigned", "Laid Off", "Retired", "Fired"]
)
},
"source_system": "employee_generator",
"ingestion_ts": datetime.now(timezone.utc).isoformat()
}
events.append(event)
# ------------------------------------------------
# Write to S3 (JSONL)
# ------------------------------------------------
key = f"{employees_prefix}batch_{datetime.now(timezone.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")
)
# ------------------------------------------------
# Stats output
# ------------------------------------------------
print(f"Existing employees found: {len(existing_employee_ids)}")
print(f"New employees created: {NEW_EMPLOYEES}")
print(f"Employees terminated this run: {len(terminated_ids)}")
print(f"{len(events)} events written to s3://{bucket_name}/{key}")