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‎Day-11/04-demo-github-integration.py

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# Program to demonstrate integration with GitHub to fetch the
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# details of Users who created Pull requests(Active) on Kubernetes Github repo.
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import requests
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# URL to fetch pull requests from the GitHub API
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url = f'https://api.github.com/repos/kubernetes/kubernetes/pulls'
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# Make a GET request to fetch pull requests data from the GitHub API
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response = requests.get(url) # Add headers=headers inside get() for authentication
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# Only if the response is successful
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if response.status_code == 200:
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# Convert the JSON response to a dictionary
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pull_requests = response.json()
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# Create an empty dictionary to store PR creators and their counts
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pr_creators = {}
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# Iterate through each pull request and extract the creator's name
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for pull in pull_requests:
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creator = pull['user']['login']
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if creator in pr_creators:
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pr_creators[creator] += 1
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else:
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pr_creators[creator] = 1
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# Display the dictionary of PR creators and their counts
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print("PR Creators and Counts:")
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for creator, count in pr_creators.items():
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print(f"{creator}: {count} PR(s)")
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else:
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print(f"Failed to fetch data. Status code: {response.status_code}")

‎Day-12/README.md

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‎Day-12/server.conf

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# Server Configuration File
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# Network Settings
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PORT = 8080
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MAX_CONNECTIONS=600
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TIMEOUT = 30
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# Security Settings
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SSL_ENABLED = true
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SSL_CERT = /path/to/certificate.pem
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# Logging Settings
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LOG_LEVEL = INFO
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LOG_FILE = /var/log/server.log
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# Other Settings
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ENABLE_FEATURE_X = true

‎Day-12/update_server.py

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def update_server_config(file_path, key, value):
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# Read the existing content of the server configuration file
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with open(file_path, 'r') as file:
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lines = file.readlines()
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# Update the configuration value for the specified key
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with open(file_path, 'w') as file:
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for line in lines:
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# Check if the line starts with the specified key
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if key in line:
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# Update the line with the new value
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file.write(key + "=" + value + "\n")
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else:
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# Keep the existing line as it is
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file.write(line)
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# Path to the server configuration file
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server_config_file = 'server.conf'
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# Key and new value for updating the server configuration
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key_to_update = 'MAX_CONNECTIONS'
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new_value = '600' # New maximum connections allowed
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# Update the server configuration file
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update_server_config(server_config_file, key_to_update, new_value)

‎Day-14/examples/create-jira.py

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# This code sample uses the 'requests' library:
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# http://docs.python-requests.org
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import requests
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from requests.auth import HTTPBasicAuth
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import json
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url = "https://veeramallaabhishek.atlassian.net/rest/api/3/issue"
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API_TOKEN = ""
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auth = HTTPBasicAuth("", API_TOKEN)
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headers = {
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"Accept": "application/json",
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"Content-Type": "application/json"
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}
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payload = json.dumps( {
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"fields": {
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"description": {
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"content": [
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{
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"content": [
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{
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"text": "My first jira ticket",
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"type": "text"
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}
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],
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"type": "paragraph"
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}
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],
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"type": "doc",
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"version": 1
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},
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"project": {
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"key": "AB"
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},
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"issuetype": {
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"id": "10006"
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},
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"summary": "First JIRA Ticket",
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},
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"update": {}
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} )
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response = requests.request(
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"POST",
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url,
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data=payload,
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headers=headers,
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auth=auth
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)
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print(json.dumps(json.loads(response.text), sort_keys=True, indent=4, separators=(",", ": ")))

‎Day-14/examples/list_projects.py

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# This code sample uses the 'requests' library:
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# http://docs.python-requests.org
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import requests
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from requests.auth import HTTPBasicAuth
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import json
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url = "https://veeramallaabhishek.atlassian.net/rest/api/3/project"
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API_TOKEN=""
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auth = HTTPBasicAuth("", API_TOKEN)
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headers = {
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"Accept": "application/json"
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}
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response = requests.request(
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"GET",
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url,
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headers=headers,
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auth=auth
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)
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output = json.loads(response.text)
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name = output[0]["name"]
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print(name)

‎README.md

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- Practice exercises and examples:
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- Example: Managing a dictionary of server configurations and optimizing retrieval.
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## Day 12: Functions and Modules
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- Introduction to functions in Python.
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- Writing functions and function parameters.
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- Return values and modular code.
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## Day 12: Python Tasks for DevOps (Part 1) - File Operations
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- Introduction to File Operations and Boto3.
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- Automating File operations.
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- Practice exercises and examples:
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- Example: Creating a function to automate server status checks.
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- Example: Update a server resources in the server.conf file up on external notification.
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## Day 13: Functions and Modules (Part 2)
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- Advanced function topics (recursion, lambda functions).
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- Function libraries and built-in functions.
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- Practice exercises and examples:
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- Example: Developing a library of custom functions for DevOps automation.
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## Day 14: Python Libraries for DevOps (Part 1)
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- Introduction to external libraries like Paramiko, Fabric, and Boto3.
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- Automating SSH connections with Paramiko.
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- Running commands on remote servers.
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- Practice exercises and examples:
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- Example: Using Paramiko to create a secure remote backup solution.
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## Day 15: Python Libraries for DevOps (Part 2)
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## Day 13: Python Tasks for DevOps (Part 2)
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- Using Fabric for remote task automation.
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- AWS automation with Boto3.
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- Managing EC2 instances, S3 buckets, and more.
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- Practice exercises and examples:
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- Example: Creating a Fabric script for deploying applications to remote servers.
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- Example: Creating a aws script for deploying applications to remote servers.
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## Day 16: Working with RESTful APIs
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## Day 14: Working with RESTful APIs
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- Introduction to RESTful APIs.
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- Making HTTP requests using Python.
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- Parsing JSON responses and error handling.
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- Practice exercises and examples:
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- Example: Developing a script to monitor RESTful API endpoints for your DevOps tools.
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## Day 17: Data Serialization and Configuration Files
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## Day 15: Data Serialization and Configuration Files
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- Serializing and deserializing data (JSON, YAML).
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- Managing configuration data.
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- DevOps use cases for configuration files.
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- Practice exercises and examples:
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- Example: Building a configuration manager to handle application settings in JSON format.
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## Day 18: Automation with Cron Jobs
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## Day 16: Automation with Cron Jobs
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- Scheduling automated tasks using cron.
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- Creating Python scripts for scheduled automation.
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- Handling periodic tasks and reports.
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- Practice exercises and examples:
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- Example: Using cron and Python to schedule regular backups of your data.
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## Day 19: Python Interview Questions & Answers
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## Day 17: Python Interview Questions & Answers
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