Files
Lakehouse/config/airflow/dags/scripts/generate_cassandra_telemetry_data.py
T
Lakehouse Admin df5ec93dc3 Full lab documentation and infrastructure as code
- Trino catalogs, Grafana, Spark jobs, LDAP LDIF, NPM compose
- Airflow DAG scripts, Proxmox VM inventory, network docs
- Ansible playbook, Gitea CI validate workflow
- Backup and health-check scripts, cron documentation
- Homepage DOCS tab with links to all documentation
- Extended collect-fleet-config.sh and populate-repo.py
2026-05-19 23:12:41 +02:00

91 lines
2.5 KiB
Python

#!/usr/bin/env python3
"""
Script to generate fake telemetry data for Cassandra
Generates approximately 1GB of data
"""
from cassandra.cluster import Cluster
import random
from datetime import datetime, timedelta
import uuid
import sys
# Database connection details
DB_HOST = "10.0.21.51"
DB_PORT = "9042"
KEYSPACE = "telemetry"
TABLE_NAME = "device_metrics"
# Data generation settings
TARGET_ROWS = 3000000 # Approximately 1GB of data
BATCH_SIZE = 5000
# Sample data
METRIC_TYPES = ["temperature", "humidity", "pressure", "voltage", "current"]
DEVICE_PREFIX = "device-"
def generate_fake_device_metric():
"""Generate a single fake device metric"""
device_id = f"{DEVICE_PREFIX}{random.randint(1, 50000)}"
# Random timestamp within the last year
days_ago = random.randint(0, 365)
metric_ts = datetime.now() - timedelta(days=days_ago, hours=random.randint(0, 23),
minutes=random.randint(0, 59))
metric_type = random.choice(METRIC_TYPES)
metric_value = round(random.uniform(0.0, 100.0), 4)
# Generate a long payload field
payload = "X" * 200
return (device_id, metric_ts, metric_type, metric_value, payload)
def main():
print(f"Connecting to Cassandra at {DB_HOST}:{DB_PORT}...")
cluster = Cluster([DB_HOST], port=DB_PORT)
session = cluster.connect()
print(f"Generating {TARGET_ROWS} device metrics...")
print(f"Batch size: {BATCH_SIZE}")
total_generated = 0
batch = []
for i in range(TARGET_ROWS):
batch.append(generate_fake_device_metric())
if len(batch) >= BATCH_SIZE:
session.execute(
f"""
INSERT INTO {KEYSPACE}.{TABLE_NAME} (device_id, metric_ts, metric_type, metric_value, payload)
VALUES (%s, %s, %s, %s, %s)
""",
batch
)
total_generated += len(batch)
batch = []
if total_generated % 100000 == 0:
print(f"Generated {total_generated} rows...")
# Insert remaining rows
if batch:
session.execute(
f"""
INSERT INTO {KEYSPACE}.{TABLE_NAME} (device_id, metric_ts, metric_type, metric_value, payload)
VALUES (%s, %s, %s, %s, %s)
""",
batch
)
total_generated += len(batch)
session.shutdown()
cluster.shutdown()
print(f"Completed! Generated {total_generated} device metrics.")
if __name__ == "__main__":
main()