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main.py
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import psycopg2 # PostgreSQL database adapter for Python
import requests # For making HTTP requests
import random # For generating random data
import simplejson as json # For JSON manipulation
from confluent_kafka import SerializingProducer # Kafka producer for sending messages
# Constants
BASE_URL = 'https://randomuser.me/api/?nat=us' # Base URL for the random user API
PARTIES = ["Gangster Party", "Anime Party", "Asleep Party"] # List of party affiliations
random.seed(1) # Seed for random number generation
# Function to generate candidate data
def generate_candidate_data(candidate_number, total_parties):
# Fetch random user data based on gender
response = requests.get(BASE_URL + '&gender=' + ('female' if candidate_number % 2 == 1 else 'male'))
if response.status_code == 200:
user_data = response.json()['results'][0]
# Return candidate data as a dictionary
return {
"candidate_id": user_data['login']['uuid'],
"candidate_name": f"{user_data['name']['first']} {user_data['name']['last']}",
"party_affiliation": PARTIES[candidate_number % total_parties],
"biography": "A brief bio of the candidate.",
"campaign_platform": "Key campaign promises or platform.",
"photo_url": user_data['picture']['large']
}
else:
return "Error fetching candidate data"
# Function to generate voter data
def generate_voter_data():
# Fetch random user data
response = requests.get(BASE_URL)
if response.status_code == 200:
user_data = response.json()['results'][0]
# Return voter data as a dictionary
return {
"voter_id": user_data['login']['uuid'],
"voter_name": f"{user_data['name']['first']} {user_data['name']['last']}",
"date_of_birth": user_data['dob']['date'],
"gender": user_data['gender'],
"nationality": user_data['nat'],
"registration_number": user_data['login']['username'],
"address": {
"street": f"{user_data['location']['street']['number']} {user_data['location']['street']['name']}",
"city": user_data['location']['city'],
"state": user_data['location']['state'],
"country": user_data['location']['country'],
"postcode": user_data['location']['postcode']
},
"email": user_data['email'],
"phone_number": user_data['phone'],
"picture": user_data['picture']['large'],
"registered_date": user_data['registered']['date'],
"registered_age": user_data['registered']['age']
}
else:
return "Error fetching voter data"
# Function to insert voter data into the PostgreSQL database
def insert_voters(conn, cur, voter):
cur.execute("""
INSERT INTO voters (voter_id, voter_name, date_of_birth, gender, nationality, registration_number, address_street, address_city, address_state, address_country, address_postcode, email, phone_number, picture, registered_date, registered_age)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s,%s,%s,%s,%s,%s,%s)
""",
(voter["voter_id"], voter['voter_name'], voter['date_of_birth'], voter['gender'],
voter['nationality'], voter['registration_number'], voter['address']['street'],
voter['address']['city'], voter['address']['state'], voter['address']['country'],
voter['address']['postcode'], voter['email'], voter['phone_number'],
voter['picture'], voter['registered_date'], voter['registered_age'])
)
conn.commit()
# Callback function for Kafka delivery reports
def delivery_report(err, msg):
if err is not None:
print(f'Message delivery failed: {err}')
else:
print(f'Message delivered to {msg.topic()} [{msg.partition()}]')
# Kafka Topics
voters_topic = 'voters_topic'
candidates_topic = 'candidates_topic'
# Function to create necessary tables in the PostgreSQL database
def create_tables(conn, cur):
cur.execute("""
CREATE TABLE IF NOT EXISTS candidates (
candidate_id VARCHAR(255) PRIMARY KEY,
candidate_name VARCHAR(255),
party_affiliation VARCHAR(255),
biography TEXT,
campaign_platform TEXT,
photo_url TEXT
)
""")
cur.execute("""
CREATE TABLE IF NOT EXISTS voters (
voter_id VARCHAR(255) PRIMARY KEY,
voter_name VARCHAR(255),
date_of_birth VARCHAR(255),
gender VARCHAR(255),
nationality VARCHAR(255),
registration_number VARCHAR(255),
address_street VARCHAR(255),
address_city VARCHAR(255),
address_state VARCHAR(255),
address_country VARCHAR(255),
address_postcode VARCHAR(255),
email VARCHAR(255),
phone_number VARCHAR(255),
picture TEXT,
registered_date VARCHAR(255),
registered_age INTEGER
)
""")
cur.execute("""
CREATE TABLE IF NOT EXISTS votes (
voter_id VARCHAR(255) UNIQUE,
candidate_id VARCHAR(255),
voting_time TIMESTAMP,
vote int DEFAULT 1,
PRIMARY KEY (voter_id, candidate_id)
)
""")
conn.commit()
# Main execution block
if __name__ == "__main__":
producer = SerializingProducer({'bootstrap.servers': 'localhost:9092', })
try:
conn = psycopg2.connect("host=localhost dbname=election_db user=postgres password=postgres port=5433")
cur = conn.cursor()
create_tables(conn, cur)
cur.execute("""
SELECT * FROM candidates
""")
candidates = cur.fetchall()
# Insert candidate data if the candidates table is empty
if len(candidates) == 0:
for i in range(3):
candidate = generate_candidate_data(i, 3)
cur.execute("""
INSERT INTO candidates (candidate_id, candidate_name, party_affiliation, biography, campaign_platform, photo_url)
VALUES (%s, %s, %s, %s, %s, %s)
""", (
candidate['candidate_id'], candidate['candidate_name'], candidate['party_affiliation'], candidate['biography'],
candidate['campaign_platform'], candidate['photo_url']))
conn.commit()
# Generate and insert voter data, then produce it to Kafka
for i in range(500):
voter_data = generate_voter_data()
insert_voters(conn, cur, voter_data)
producer.produce(
voters_topic,
key=voter_data["voter_id"],
value=json.dumps(voter_data),
on_delivery=delivery_report
)
print('Produced voter {}, data: {}'.format(i, voter_data))
producer.flush()
except Exception as e:
print(e)