ntkathole

#!/usr/bin/env python3
"""
CodeFlare SDK Connection Debugging Script

This script helps diagnose issues with connecting to KubeRay clusters via CodeFlare SDK.
It tests authentication, cluster discovery, and connection setup.

Usage:
    python debug_codeflare_connection.py \
        --cluster-name test-kuberay \

ntkathole

import pandas as pd

entity_df = pd.DataFrame({
    "customer_id": [
        "CUST_000001",
        "CUST_000002",
        "CUST_000003",
        "CUST_000005",
    ],
    "event_timestamp": [

ntkathole

from feast import FeatureService

# Get all feature views
print("Retrieving feature views from registry...")
customer_demographics_fv = fs_banking.get_feature_view("customer_demographics_fv")
customer_behavioral_profile = fs_banking.get_feature_view("customer_behavioral_profile")
transaction_7d_aggregations = fs_banking.get_feature_view("transaction_7d_aggregations")
transaction_30d_aggregations = fs_banking.get_feature_view("transaction_30d_aggregations")
transaction_90d_patterns = fs_banking.get_feature_view("transaction_90d_patterns")
customer_transaction_interaction = fs_banking.get_feature_view("customer_transaction_interaction")

ntkathole

from feast import FeatureView, Field
from feast.types import Float64, Int64
from datetime import timedelta

# Get references
transaction_source = fs_banking.get_data_source("transaction_data_source")
customer = fs_banking.get_entity("customer")

customer_high_value_txns = FeatureView(
    name="customer_high_value_txns",

ntkathole

customer_demographics_fv = fs_banking.get_feature_view("customer_demographics_fv")

from feast import Field
from feast.on_demand_feature_view import on_demand_feature_view
from feast.types import Float64
import pandas as pd

@on_demand_feature_view(
    sources=[customer_demographics_fv],
    schema=[Field(name="affordability_score", dtype=Float64)],

ntkathole

# Exmaple 1 : Sample File based data creation

import pandas as pd
from datetime import datetime

from feast import Entity, FeatureView, Feature, ValueType, Field, FileSource
from feast.types import String

df = pd.DataFrame({
    "employee_id": [1, 2],

ntkathole

import sys
import xml.etree.ElementTree as ET
tree = ET.parse(sys.argv[1])
root = tree.getroot()
root.findall('properties')
attrib1 = {'name': 'polarion-group-id', 'value': sys.argv[2]}
ET.SubElement(root.findall('properties')[0],'property',attrib1)
tree.write(sys.argv[1])

ntkathole

"Modified from project : https://pypi.org/project/PyHatch/"

import requests
import os
import datetime
import getpass

GITHUB_USER = 'ntkathole'

here = os.path.abspath(os.path.dirname(__file__))

ntkathole

import os
import requests

ohsnap=""
satellite="6.5.0"

def main():
    for i in range(1,50):
        flag = 0
        release = "{0}/api/releases/{1}/snaps/{2}.0/srpms".format(ohsnap,str(satellite),str(i))

ntkathole

#! /bin/bash
name=${hostname}
mkdir ownca
pushd ownca
wget https://raw.githubusercontent.com/ntkathole/ownca/master/openssl.cnf
wget https://raw.githubusercontent.com/ntkathole/ownca/master/generate-ca.sh
wget https://raw.githubusercontent.com/ntkathole/ownca/master/generate-crt.sh
echo 100001 >> serial
chmod 744 *.sh
yes "" | ./generate-ca.sh