INTEGRATION OF JENKINS AND GITHUB REPOSITORY

One of the basic steps of implementing CI/CD is integrating your SCM (Source Control Management) tool with your CI tool. This saves you time and keeps your project updated all the time. One of the most popular and valuable SCM tools is GitHub. In this blog I will explain how to integrate Jenkins with GitHub projects.

Step 1: Create a Repository in Git Hub . In my case I have created a repository named jenkinsdemo.

Step 2: Create a python file (.py) file in your Repository. In my case I have created check.py.

Step 3: Contents in check.py.

	print("Entered Check") import time
	print("new python file")

	time.sleep(5)

	print("hello world")

	time.sleep(5)

	print("hi everyone")

Step 4: Save that python file and go to jenkins.

Configuring Jenkins

Step 5: In Jenkins, click on ‘New Item’ to create a new project.

jenkins configuration for github

Step 6: Give your project a name, then choose ‘Freestyle project’ and finally, click on ‘OK’.

jenkins ci, github scm

Step 7: Click on the ‘Source Code Management’ tab.

adding your scm to continuous integration

Step 8: Click on Git and paste your GitHub repository URL in the ‘Repository URL’ field.

GitHub and Jenkins combination

Step 9: ADD Credentials. Give your git hub username and password. Give a ID(your wish).

Step 10: After Adding the credentials, In the credentials column , the entered details will show up.

Step 11: Mention the branch in git.....(main in my case) as shown in above pic

Step 12: Execute using a windows batch.

Step 13: After building Save and Build now. The output...

Comments

Is-A and Has-A relationships in python

In object-oriented programming, the concept of IS-A is a totally based on Inheritance, which can be of two types Class Inheritance or Interface Inheritance. It is just like saying "A is a B type of thing". For example, Apple is a Fruit, Car is a Vehicle etc. Inheritance is uni-directional. For example, House is a Building. But Building is not a House. #Is-A relationship --> By Inheritance class A: def __init__ ( self ): self .b= 10 def mym1 ( self ): print ( 'Parent method' ) class B(A): def mym2 ( self ): print ( 'Child method' ) d = B() d.mym1() #output: Parent method d.mym2() #output: Child method HAS-A Relationship: Composition(HAS-A) simply mean the use of instance variables that are references to other objects. For example Maruti has Engine, or House has Bathroom. Let’s understand...

Inheritance and Types in Python

Inheritance Creating a new class from existing class is known as inheritance . The class from which features are inherited is known as base class and the class into which features are derived into is called derived class . Syntax: class derived- class (base class ): < class -suite> Inheritance promotes reusability of code by reusing already existing classes. Inheritance is used to implement is-a relationship between classes. Following hierarchy is an example representing inheritance between classes: Single inheritance When a derived class inherits only from syntax, the base class is called single inheritance. If it has one base class and one derived class it is called single inheritance. Diagram Syntax class A: #parent class #some code class b(A):...

Exception Handling in Python

Introduction An error is an abnormal condition that results in unexpected behavior of a program. Common kinds of errors are syntax errors and logical errors. Syntax errors arise due to poor understanding of the language. Logical errors arise due to poor understanding of the problem and its solution. Anomalies that occur at runtime are known as exceptions. Exceptions are of two types: synchronous exceptions and asynchronous exceptions. Synchronous exceptions are caused due to mistakes in the logic of the program and can be controlled. Asynchronous exceptions are caused due to hardware failure or operating system level failures and cannot be controlled. Examples of synchronous exceptions are: divide by zero, array index out of bounds, etc.) . Examples of asynchronous exceptions are: out of memory error, memory overflow, memory underflow, disk failure, etc. Overview of errors and exceptions in Python is as follows: Handling Exceptions Flowch...

sibi's_python_blog

Search This Blog