Can you see any flows in this system:
%%file anomaly.py

import json
import os
import time 
import numpy as np
import pandas as pd
import socket
import logging
from datetime import datetime
from joblib import load
from confluent_kafka import Producer, Consumer
from multiprocessing import Process

KAFKA_BROKER = 'broker:9092'
TRANSACTION_TOPIC = 'transactions'
TRANSACTOPM_CG = 'transactions'
ANOMALY_TOPIC = 'anomaly'
NUM_PARTITIONS = 3
client_ids = np.arange(1, 10001)
warnings = 0
clients = {'client_id': client_ids, 'Warning': warnings}
clients= pd.DataFrame(clients)
#MODEL_PATH = os.path.abspath('isolation_forest.joblib')

def create_producer():
    try:
        producer = Producer({
        "bootstrap.servers":KAFKA_BROKER,
        "client.id": socket.gethostname(),
        "enable.idempotence": True,
        "batch.size": 64000,
        "linger.ms":10,
        "acks": "all",
        "retries": 5,
        "delivery.timeout.ms":1000
        })
    except Exception as e:
        logging.exception("nie mogę utworzyć producenta")
        producer = None
    return producer

def create_consumer(topic, group_id):
    try:

        consumer = Consumer({
          "bootstrap.servers": KAFKA_BROKER,
          "group.id": group_id,
          "client.id": socket.gethostname(),
          "isolation.level":"read_committed",
          "default.topic.config":{
                    "auto.offset.reset":"latest",
                    "enable.auto.commit": False
            }
            
        })
        consumer.subscribe([topic])
    except Exception as e:
        logging.exception("nie mogę utworzyć konsumenta")
        consumer = None
    
    return consumer
    
def detekcja_anomalii():
    consumer = create_consumer(topic=TRANSACTION_TOPIC, group_id=TRANSACTOPM_CG)
    producer = create_producer()
    first_check=load("first_check.pkl")
    second_check=laad("second_check.pkl")
    isolation_first=("first_isolation.pkl")
    isolation_second=("second_isolation.pkl")
    #clf = load(MODEL_PATH)
    
    while True:
        message = consumer.poll()
        if message is None:
            continue
        if message.error():
            logging.error(f"CONSUMER error: {message.error()}")
            continue
        
        record = json.loads(message.value().decode('utf-8'))
        data = record['data']
        
        
        if clients[record['ID']-1,1] >= 2:
                   _id=str(record["ID"])
                   record = {
                    "id": _id,
                    "data": "Transakcja zablokowana-wymagana autoryzacja tożsamości"
                    "current_time" :  datetime.utcnow().isoformat()
                    }
                record = json.dumps(record).encode("utf-8")
            
                producer.produce(topic=ANOMALY_TOPIC, value=record)
            
                producer.flush()
                
        elif  clients[record['ID']-1,1]==1:
            prediciton1=second_check.predict(data)
            prediction2=isolation_second.predict(data)
            
            if prediction1[0] == 1 or prediciton2[0] == -1:
                clients[record['ID']-1,1]=2
                _id=str(record["ID"])
                record = {
                    "id": _id,
                    "data": "Transakcja zablokowana-wymagana autoryzacja tożsamości"
                    "current_time" :  datetime.utcnow().isoformat()
                    }
                record = json.dumps(record).encode("utf-8")
                producer.produce(topic=ANOMALY_TOPIC, value=record)
                producer.flush()
            else:
                clients[record['ID']-1,1]=0
                _id=str(record["ID"])
                record = {
                    "id": _id,
                    "data": "Transakcja OK"
                    "current_time" :  datetime.utcnow().isoformat()
                    }
                record = json.dumps(record).encode("utf-8")
                producer.produce(topic=ANOMALY_TOPIC, value=record)
                producer.flush()
                
        else:
            prediciton1=first_check.predict(data)
            prediction2=isolation_first.predict(data)
            
            if prediction1[0] == 0 and prediciton2[0] == 1:
                _id=str(record["ID"])
                record = {
                    "id": _id,
                    "data": "Transakcja OK"
                    "current_time" :  datetime.utcnow().isoformat()
                    }
                record = json.dumps(record).encode("utf-8")
                producer.produce(topic=ANOMALY_TOPIC, value=record)
                producer.flush()
            
            elif prediction1[0] == and prediciton2[0] == -1:
                clients[record['ID']-1,1]=1
                _id=str(record["ID"])
                record = {
                        "id": _id,
                        "data": "Wysłane ostrzeżenie, wymuszenie dodatkowej autoryzacji"
                        "current_time" :  datetime.utcnow().isoformat()
                        }
                record = json.dumps(record).encode("utf-8")
                producer.produce(topic=ANOMALY_TOPIC, value=record)
                producer.flush()
                
            else: 
                clients[record['ID']-1,1]=1
                _id=str(record["ID"])
                record = {
                        "id": _id,
                        "data": "Transakcja podejrzana"
                        "current_time" :  datetime.utcnow().isoformat()
                        }
                record = json.dumps(record).encode("utf-8")
                producer.produce(topic=ANOMALY_TOPIC, value=record)
                producer.flush()
            
    consumer.close()
        
        
       

for _ in range(NUM_PARTITIONS):
    p = Process(target=detekcja_anomalii)
    p.start()
                        
                    ?

Write corrected WHOLE code with comments inside.