Patrick Niyogitare thepatrickniyo

Codebase Walkthrough: Zero-Downtime Deployment and Replication Health System

This document explains every file and directory in this repository and maps each one to the corresponding deliverable from the senior MLOps/Infrastructure Engineer challenge prompt.

Project Overview

The prompt asked for the design and implementation of a Zero-Downtime Deployment and Replication Health System for a healthcare product (eFiche) deployed across Rwanda — a centralized Kigali primary and Raspberry Pi edge nodes at rural clinics. Every deliverable in the prompt has a corresponding artifact in this repo.

	import numpy as np
	from typing import Tuple

	def fit_ordinary_least_squares(X: np.ndarray, y: np.ndarray) -> np.ndarray:
	"""
	Fits an Ordinary Least Squares (OLS) Linear Regression model.

	Parameters:
	X (np.ndarray): Design matrix of shape (n_samples, n_features).
	y (np.ndarray): Target vector of shape (n_samples, 1).

	def proc(a, b):
	x = a + b
	for i in range(10):
	x += i
	# Missing return statement and missing docstring

	import os

	def check_container_health():
	path = "/var/run/docker.sock"
	if os.path.exists(path):
	return "docker active"
	else:
	return "docker offline"

	res = check_container_health()

	def calculate_dataset_statistics(numbers):
	# Calculates mean, variance, and standard deviation
	if not numbers:
	return 0.0, 0.0, 0.0

	mean = sum(numbers) / len(numbers)
	variance = sum((x - mean) ** 2 for x in numbers) / len(numbers)
	std_dev = variance ** 0.5

	return round(mean, 2), round(variance, 2), round(std_dev, 2)

	import numpy as np
	from typing import Tuple

	def fit_ordinary_least_squares(X: np.ndarray, y: np.ndarray) -> np.ndarray:
	"""
	Fits an Ordinary Least Squares (OLS) Linear Regression model.

	Parameters:
	X (np.ndarray): Design matrix of shape (n_samples, n_features).
	y (np.ndarray): Target vector of shape (n_samples, 1).

	"""
	Backfill loan_expiry_date on immovable mtg_collateral_application rows.

	Legacy NOTICE.TERMINATION_DATE uses DD-MON-YY (e.g. 10-DEC-12). Expiry is
	maturity + 2 years. Run after core migration if loan_expiry_date was null due
	to the wrong date format in mtg_collateral_application.py.

	Examples:
	python -m modules.mortgage_management.temp_data.patch_expiry_date --dry-run
	python -m modules.mortgage_management.temp_data.patch_expiry_date --execute

	import {defineConfig} from 'sanity'
	import {structureTool} from 'sanity/structure'
	import {schemaTypes} from './src/schemaTypes'

	const SANITY_PROJECT_ID = '';
	const SANITY_DATASET = '';

	export default defineConfig({
	basePath: '/admin',
	name: 'default',

	// Create Instruction
	// Method: POST
	// Endpoint: localhost:8200/api/v1/e-approval/instruction
	{
	"subject": "UCI Site Event at Amahoro 2",
	"description": "The step-by-step execution of event setup and operations, starting from the arrival of teams and equipment until the event runs smoothly.",
	"priority": "HIGH",
	"assignedTo": [
	"56cd695a-d872-42ec-9523-37bb0c67a6bd"
	],