logictools 0.1.4

A simple utility package for string and math functions

What I Learned from Task 1 - CI/CD-Based Python Package

Module: Agentic AI Framework (Prodigal AI)

In the first task, I was assigned to build a CI/CD based Python packa ge (funcationality of the Python package was upto us we could create a simple python package).

1️⃣ Understanding CI/CD in Python Packaging

• CI/CD (Continuous Integration & Continuous Deployment) automates the build, test, and deployment of software.

• It helps in maintaining high-quality code and streamlining software updates.

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2️⃣ Steps to Build a Python Package

• Step 1:

  • Create a seperate project folder for your Python Package.
  • The name of the Folder should be the name what you want to give it to your Python Package.

• Step 2:

  • Inside your project folder, you need to create few folders and files.

  • Package Souce Code Folder:

    • Create a folder for your package source code.
    • Inside the Package Souce Code folder you will be writing your code in main.py (you can split your code accross multiple number of .py files if needed).
    • You must also create a Python Special file named __init__.py inside this folder.

  • Testing Folder

    • After, completing of your code, you should test it. For this, create a seperate folder named tests.
    • Inside the tests folder, create a test_main.py file to write test cases.

  • GitHub Actions CI/CD Setup:

    • Create a .githuh folder to set up GitHub Actions CI/CD.

    • Inside .github, create another folder named workflows.

    • Inside workflows, create a .yml file for CI/CD. This file should be named after your project, such as your-project-name.yml(eg: my_package.yml).

  • Additional Files:

    • .gitignore – To ignore unnecessary files from being tracked by Git.

    • pyproject.toml – For modern package configuration.

    • README.md – To provide documentation for the package.

    • LICENSE.txt – To define the package’s license.

    • requirements.txt – To list package dependencies.

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Here is the Structure in visual form:

my_package/
│── my_package/            # Package source code
│   ├── __init__.py        # Required for a Python package
│   ├── main.py            # Main module
│
│── tests/                 # Unit tests
│   ├── test_main.py
│
│── .github/               # GitHub Actions CI/CD
│   ├── workflows/
│       ├── python-package.yml
│
│── .gitignore             # Ignore unnecessary files
│── pyproject.toml         # Modern package configuration
│── README.md              # Documentation
│── LICENSE                # License file
│── requirements.txt       # Dependencies

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3️⃣ Write Code for Your Package

🔹 You need to write the code for your Package inside main.py which is present in your my_package folder.

🔹 Here is my code for math_utils.py:

#Calculates the factorial of a number.
def factorial(n):
    try:
        if n < 0:
            raise ValueError("Factorial is not defined for negative numbers.")
        if n == 0 or n == 1:
            return 1
        result = 1
        for i in range(2, n + 1):
            result *= i
        return result
    except ValueError as e:
        return f"{e}"
    except Exception as e:
        return f"An unexpected error occurred: {e}"

---

🔹 Here is my code for string_utils,py:

def convert_to_uppercase(text):
    return text.upper()  # Converts a string to uppercase.

def reverse_string(text):
    return text[::-1]  # Reverses a given string.

def character_count(text):
    return len(text)  # Returns the length of the string.

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🔹Now add the created files inside __init__.py

from .string_utils import convert_to_uppercase, reverse_string, character_count
from .math_utils import factorial

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4️⃣ Code Test

• Now, after writing the code we must test it by Unit Test:

  • You must test for all files.

  • Here is the test code for math_utils.py file.

    import pytest
    from logictools import math_utils
    
    def test_factorial():
        assert math_utils.factorial(5) == 120
        assert math_utils.factorial(0) == 1
    

---

• Here is the test code for string_util.py file.

  import pytest
  from logictools import string_utils
  
  def test_convert_to_uppercase():
      assert string_utils.convert_to_uppercase("hello") == "HELLO"
  
  def test_reverse_string():
      assert string_utils.reverse_string("hello") == "olleh"
  
  def test_character_count():
      assert string_utils.character_count("Hello") == 5
  

---

5️⃣ Content inside pyproject.toml file

• This is the modern way to define a package.

  🔹 pyproject.toml

[tool.poetry]
name = "logictools"           # Name of your package
version = "0.1.3"             # Current version of your package
description = "A simple utility package for string and math functions"
authors = ["RANGDAL PAVANSAI <[e-mail]>"]
license = "MIT"               # License type (MIT in this case)
readme = "README.md"          # Points to your README file

[tool.poetry.dependencies]
python = "^3.7"               # Your package supports Python 3.7 and later.

[tool.poetry.group.dev.dependencies]
pytest = "^7.0"               # Your package requires pytest version 7.0 or higher for testing.

[build-system]
requires = ["poetry-core>=1.0.0"]       # Specifies that poetry-core (version 1.0.0 or later) is required to build the package.
build-backend = "poetry.core.masonry.api"    # Uses poetry.core.masonry.api as the build system.

---

6️⃣ Create requirements.txt

• This lists dependencies

  touch requirements.txt
  

• In requirements.txt add the packages that are required or your project to run.

---

7️⃣ Create .gitignore

• To ignore unnecessary files:

  # Ignore Python cache & build files
  __pycache__/
  *.pyc
  *.pyo
  *.pyd
  *.egg-info/
  build/
  dist/
  venv/
  

8️⃣ Build & Test Your Package Locally

1. Install build Tool

pip install build

2. Build your package

python -m build

• This creates a dist/ folder containing:

  dist/
    my_package-0.1.0-py3-none-any.whl
    my_package-0.1.0.tar.gz
  

3. Test Your Package

pip install dist/NAME-OF-YOUR-PACKAGE-0.1.0-py3-none-any.whl
python -c "import NAME-OF-YOUR-PACKAGE; print(NAME-OF-YOUR-PACKAGE.factorial(5))"

9️⃣ Set Up GitHub Actions for CI/CD

1. Create .github/workflows/python-package.yml

   name: Python Package CI/CD
   
   on:
     push:
       branches:
         - main
     pull_request:
       branches:
         - main
     release:
       types: [created]
   
   jobs:
     test:
       name: Run Tests
       runs-on: ubuntu-latest
   
       steps:
         - name: Checkout repository
           uses: actions/checkout@v3
   
         - name: Set up Python
           uses: actions/setup-python@v4
           with:
             python-version: '3.10'
   
         - name: Install dependencies
           run: |
             python -m pip install --upgrade pip
             pip install -r requirements.txt
             pip install pytest
   
         - name: Run tests
           run: pytest
   
     build:
       name: Build and Publish Package
       runs-on: ubuntu-latest
       needs: test
       if: github.event_name == 'release'
   
       steps:
         - name: Checkout repository
           uses: actions/checkout@v3
   
         - name: Set up Python
           uses: actions/setup-python@v4
           with:
             python-version: '3.10'
   
         - name: Install Build Tools
           run: |
             python -m pip install --upgrade pip
             pip install build twine
   
         - name: Build Package
           run: python -m build
   
         - name: Publish to PyPI
           env:
             PYPI_USERNAME: ${{ secrets.PYPI_USERNAME }}
             PYPI_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
           run: |
             twine upload dist/* -u "$PYPI_USERNAME" -p "$PYPI_PASSWORD"
   

🔟 Securely Store PyPI Credentials

1. Go to your GitHub repo → Settings

2. Click Secrets and variables → Actions

3. Add these GitHub Secrets:

   • PYPI_USERNAME → Your PyPI username
   • PYPI_PASSWORD → Your PyPI API Token (from https://pypi.org/manage/account/)

1️1 Publish Your Package

1. Push to GitHub

   git init
   git add .
   git commit -m "Initial commit"
   git branch -M main
   git remote add origin https://github.com/yourusername/my_package.git
   git push -u origin main
   

2. Create a GitHub Release

• Go to GitHub → Releases → Create New Release
• Tag it as v0.1.3 (match pyproject.toml version)
• Click Publish Release
• GitHub Actions will automatically build & upload your package to PyPI!

12. Confirmation of Package

• After uploading successfull go check github actions.
• If it successfully completes it's job that means your package is ready to use.
• Now, confirm your pip package in https://pypi.org/YOUR-PACKAGE-NAME.

13. Install, and use

- pip install NAME-OF-YOUR-PACKAGE
- python -c "import NAME-OF-YOUR-PACKAGE; print(NAME-OF-YOUR-PACKAGE.factorial(5))"