Add 'Programming/PSD/' from commit 'cc1989eb7b6e039cafe95d2bef697ace67cbc1d2'

git-subtree-dir: Programming/PSD
git-subtree-mainline: 781bfce7b1
git-subtree-split: cc1989eb7b
This commit is contained in:
Krzysztof kuhy Rudnicki 2026-02-06 22:15:31 +01:00
commit e11d703c3e
7 changed files with 368 additions and 0 deletions

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Programming/PSD/.gitignore vendored Normal file
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
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*.egg-info/
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*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
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# Installer logs
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# Unit test / coverage reports
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# Translations
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# Django stuff:
*.log
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from pyflink.datastream import StreamExecutionEnvironment
from pyflink.datastream.connectors.kafka import FlinkKafkaConsumer
from pyflink.common.serialization import SimpleStringSchema
import json
def detect_anomalies(transaction):
transaction_data = json.loads(transaction)
# Add anomaly detection logic here
return transaction_data
env = StreamExecutionEnvironment.get_execution_environment()
kafka_consumer = FlinkKafkaConsumer(
topics='transactions',
deserialization_schema=SimpleStringSchema(),
properties={'bootstrap.servers': 'localhost:9092', 'group.id': 'anomaly_detection'}
)
data_stream = env.add_source(kafka_consumer).map(detect_anomalies)
data_stream.print()
env.execute("Anomaly Detection")

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from confluent_kafka import Producer
import json
import random
import time
# Configuration for Kafka Producer
conf = {'bootstrap.servers': "localhost:9092"}
producer = Producer(**conf)
def generate_transaction():
return {
"card_id": random.randint(1000, 9999),
"user_id": random.randint(100, 999),
"location": {
"latitude": round(random.uniform(-90, 90), 6),
"longitude": round(random.uniform(-180, 180), 6)
},
"transaction_value": round(random.uniform(1, 1000), 2),
"spending_limit": round(random.uniform(1000, 5000), 2)
}
def delivery_report(err, msg):
if err is not None:
print('Message delivery failed: {}'.format(err))
else:
print('Message delivered to {} [{}]'.format(msg.topic(), msg.partition()))
while True:
transaction = generate_transaction()
producer.produce('transactions', key=str(transaction["card_id"]), value=json.dumps(transaction), callback=delivery_report)
producer.poll(1)
time.sleep(1) # Adjust the sleep time to control the frequency of transactions

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from confluent_kafka import Consumer, KafkaError
conf = {'bootstrap.servers': "localhost:9092",
'group.id': "test_group",
'auto.offset.reset': 'earliest'}
consumer = Consumer(**conf)
consumer.subscribe(['transactions'])
while True:
msg = consumer.poll(timeout=1.0)
if msg is None:
continue
if msg.error():
if msg.error().code() == KafkaError._PARTITION_EOF:
continue
else:
print(msg.error())
break
print('Received message: {}'.format(msg.value().decode('utf-8')))
consumer.close()

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flask
confluent_kafka
pyflink

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Programming/PSD/run.sh Executable file
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#!/bin/bash
# Function to run a script in the background and save its PID
run_script() {
python $1 &
echo $!
}
# Function to install Kafka
install_kafka() {
if ! command -v kafka-server-start &> /dev/null; then
echo "Kafka is not installed. Installing Kafka..."
sudo pacman -Syu --noconfirm
sudo pacman -S --noconfirm kafka
else
echo "Kafka is already installed."
fi
}
# Function to install Flink using yay
install_flink() {
if ! command -v flink &> /dev/null; then
echo "Flink is not installed. Installing Flink..."
if ! command -v yay &> /dev/null; then
echo "yay is not installed. Installing yay..."
sudo pacman -S --noconfirm git
git clone https://aur.archlinux.org/yay.git
cd yay
makepkg -si --noconfirm
cd ..
rm -rf yay
fi
yay -S --noconfirm apache-flink
else
echo "Flink is already installed."
fi
}
# Ensure Kafka and Flink are installed
#install_kafka
#install_flink
# Ensure Kafka and Flink services are running
echo "Starting Kafka and Flink services..."
sudo systemctl start kafka
start-cluster.sh
# Give some time for Kafka and Flink to start
sleep 1
# Start the Kafka producer (Transaction Simulator)
echo "Starting transaction simulator..."
producer_pid=$(run_script './kafka/generate_and_send.py')
echo "Started transaction simulator with PID $producer_pid"
# Give some time for the producer to start and produce initial transactions
sleep 1
# Start the Kafka consumer for testing
echo "Starting Kafka consumer for testing..."
consumer_pid=$(run_script './kafka/kafka_consumer.py')
echo "Started Kafka consumer for testing with PID $consumer_pid"
# Give some time for the consumer to read initial transactions
sleep 1
# Start the Flink job (Anomaly Detector)
echo "Starting Flink anomaly detector..."
flink_pid=$(run_script './flink/anomaly_detector.py')
echo "Started Flink anomaly detector with PID $flink_pid"
# Give some time for the Flink job to start processing
sleep 1
# Start the Flask application (Alarm Reader and Visualizer)
echo "Starting Flask alarm reader..."
flask_pid=$(run_script './webinterface/webinterface.py')
echo "Started Flask alarm reader with PID $flask_pid"
# Function to handle script termination
terminate_scripts() {
echo "Shutting down..."
kill $producer_pid
kill $consumer_pid
kill $flink_pid
kill $flask_pid
echo "All processes terminated."
# Optionally stop Kafka and Flink services
sudo systemctl stop kafka
sudo systemctl stop flink
}
# Trap SIGINT (Ctrl+C) to terminate all subprocesses
trap terminate_scripts SIGINT
# Keep the main script running to allow all subprocesses to continue executing
while true; do
sleep 1
done

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from flask import Flask, jsonify
from confluent_kafka import Consumer, KafkaError
app = Flask(__name__)
@app.route('/alarms', methods=['GET'])
def get_alarms():
alarms = []
conf = {'bootstrap.servers': "localhost:9092",
'group.id': "alarm_group",
'auto.offset.reset': 'earliest'}
consumer = Consumer(**conf)
consumer.subscribe(['alarms'])
while True:
msg = consumer.poll(timeout=1.0)
if msg is None:
break
if msg.error():
if msg.error().code() == KafkaError._PARTITION_EOF:
continue
else:
return str(msg.error()), 500
alarms.append(json.loads(msg.value().decode('utf-8')))
consumer.close()
return jsonify(alarms)
if __name__ == '__main__':
app.run(debug=True)