/evaluation_task

Please read the task from Read me and start the work

evaluation_task

Please read the task from readme and start the work . You have two weeks to reply with all the answer. I do not expect you to answer everything perfectly . If you answer it smartly and prove that you worked hard for this task , you will be selected. Even if you are unable to finish the work please share your works in the weeks end.

You will be making a github repository and share your task answer and code work. Send me the github link once you are done.

I have given enough hints so that you can work along the way in the task. DO NOT MAIL ME FOR ASKING ANY KIND OF QUESTION REGARDING THE TASK.

Read the task 2,3 times. So that you can answer it .


Technical Exam: Blender, Python, JavaScript 3D, and Docker

This technical exam incorporates the mentioned technologies: Blender, Python, JavaScript 3D, and Docker.

Blender & Python

Q1.1: Blender provides an API that can be interacted with using Python. How can you use Python scripting to automate the creation of a 3D model in Blender? Please provide a basic code example.

Q1.2: In Blender's Python API, what is the purpose of the bpy module? How can you use it to manipulate object transformations in a 3D scene?

Python & Docker

Q2.1: Describe the steps to create a Docker container for a Python-based application. What information would you need to include in the Dockerfile?

Q2.2: Explain how you can use Docker Compose to manage multi-container Python applications.

JavaScript 3D (Three.js)

Q3.1: Describe the fundamental components needed to render a basic 3D scene using Three.js.

Q3.2: How can you import and use a 3D model created in Blender within a Three.js application?

Blender, Python, JavaScript 3D & Docker

Q4.1 Revised: Imagine you're creating a pipeline to automatically generate 3D models in Blender using Python scripts. Then, you will display these models on a web interface served by Flask. Finally, the whole application runs in a Docker environment. How would you structure this pipeline?

Q4.2: What challenges might you face when developing and deploying this kind of application, and how would you tackle them?

Docker & JavaScript 3D

Q5.1: How would you containerize a Node.js application serving a web-based 3D viewer powered by Three.js?

Q5.2: What kind of considerations would you need to keep in mind when deploying this Docker container in a production environment?

Practical Task: Generate a 3D Pyramid in Blender using Python

The goal of this task is to write a Python script that creates a 3D pyramid in Blender. The pyramid should have a square base with four triangular sides that meet at a single point (the apex).

The following steps outline the process, and a sample code snippet is provided to guide you.

  1. Clear the existing mesh objects in Blender.

  2. Create a new mesh and an object to link it with.

  3. Define the vertices and faces of the pyramid.

  4. Update the mesh with pyramid data.

  5. Center the pyramid in the scene.

  6. Export the pyramid model in GLTF format.

Please note, this script creates a pyramid with a fixed size and shape. In a real task, you might want to add parameters to control the size, proportions, and orientation of the pyramid, and to place it at different locations in the scene.

MORE HINTS FOR THE TASKS

Q4.1 HINT : Let me elaborate the quetion with all the hints. Imagine you're creating a pipeline to automatically generate 3D models in Blender using Python scripts. Then, you will display these models on a web interface served by Flask. Finally, the whole application runs in a Docker environment. How would you structure this pipeline?

Blender and Python:

You can use Python scripting within Blender to create or modify 3D models:

import bpy

# Clear all mesh objects
bpy.ops.object.select_by_type(type='MESH')
bpy.ops.object.delete()

# Create a new cube
bpy.ops.mesh.primitive_cube_add()

This script can be run from the command line:

blender --background --python my_script.py

Flask & Three.js:

After creating your model, you'll export it from Blender in a format readable by Three.js (such as .glb or .gltf). You'll then create a simple Flask application to serve your web page:

from flask import Flask, render_template

app = Flask(__name__)

@app.route('/')
def home():
    return render_template('index.html')

if __name__ == '__main__':
    app.run(debug=True)

The index.html should include your Three.js code to load and display the 3D model:

<!-- Include Three.js library -->
<script src="https://threejs.org/build/three.js"></script>

<script>
var scene = new THREE.Scene();
var camera = new THREE.PerspectiveCamera(75, window.innerWidth/window.innerHeight, 0.1, 1000);
var renderer = new THREE.WebGLRenderer();

renderer.setSize(window.innerWidth, window.innerHeight);
document.body.appendChild(renderer.domElement);

// Load your 3D model
var loader = new THREE.GLTFLoader();
loader.load('/path_to_your_model.gltf', function(gltf){
  scene.add(gltf.scene);
}, undefined, function(error){
  console.error(error);
});

// Render the scene
var animate = function () {
  requestAnimationFrame(animate);
  renderer.render(scene, camera);
};

animate();
</script>

Docker:

Finally, you'll need to set up a Docker container for your Flask application. Here's a basic Dockerfile for a Flask app:

# Use Python 3.7 image
FROM python:3.7-slim

# Set the working directory in the container
WORKDIR /app

# Copy the dependencies file to the working directory
COPY requirements.txt .

# Install any dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Copy the content of the local src directory to the working directory
COPY src/ .

# Specify the command to run on container start
CMD [ "python", "./app.py" ]

The requirements.txt should contain Flask, along with any other Python packages your app needs.

To build and run your Docker container:

docker build -t my-app .
docker run -p 5000:5000 -d my-app

This will start your application in a new Docker container, and it will be accessible at localhost:5000 in your web browser.

Again, this is a basic overview. Each of these steps can be more complex depending on your specific needs and setup. For instance, you may need to handle errors, manage dependencies, and structure your code in a way that's maintainable and scalable. You also have to consider data flow between each step of the process, how to handle updates to the 3D models, and how to manage the Docker containers

Python Blender Task: Generate a 3D Pyramid

The goal of this task is to write a Python script that creates a 3D pyramid in Blender. The pyramid should have a square base with four triangular sides that meet at a single point (the apex).

Below are the steps and some sample code to guide you through the task.

Steps

  1. Clear the existing mesh objects in Blender

    We start with a clean canvas by deleting all existing mesh objects.

  2. Create a new mesh and an object to link it with

    A new mesh for the pyramid and an object to link it to the scene are created.

  3. Define the vertices and faces of the pyramid

    Vertices for the base and the apex of the pyramid, and faces for the triangular sides are defined.

  4. Update the mesh with pyramid data

    The mesh object is updated with the vertices and faces of the pyramid.

  5. Center the pyramid in the scene

    The pyramid is positioned at the center of the scene.

  6. Export the pyramid model

    The pyramid model is exported in GLTF format, which can be loaded into a Three.js scene.

Sample Code

import bpy

# Clear all mesh objects
bpy.ops.object.select_by_type(type='MESH')
bpy.ops.object.delete()

# Create a new mesh object
mesh = bpy.data.meshes.new(name="PyramidMesh")
obj = bpy.data.objects.new("Pyramid", mesh)

# Link the object to the scene
scene = bpy.context.scene
scene.collection.objects.link(obj)

# Create a pyramid
verts = [(1, 1, 0), (1, -1, 0), (-1, -1, 0), (-1, 1, 0), (0, 0, 2)]  # 5 vertices
faces = [(0, 1, 4), (1, 2, 4), (2, 3, 4), (3, 0, 4)]  # 4 faces

# Update the mesh with the new data
mesh.from_pydata(verts, [], faces)

# Center the pyramid in the scene
obj.location = (0, 0, 0)

# Update the scene
bpy.context.view_layer.update()

# Export the model in GLTF format
bpy.ops.export_scene.gltf(filepath="/path/to/your/file.gltf")

Remember, this script creates a pyramid with a fixed size and shape. In a real task, you might want to add parameters to control the size, proportions, and orientation of the pyramid, and to place it at different locations in the scene.

Testing

To test your script, you can run it from the command line using:

blender --background --python your_script.py

You should find your exported .gltf file at the location you specified.

Good luck!

Suggested folder structure hint


3D Model Generation and Viewing Pipeline structure

This repository will contain pipeline for generating 3D models in Blender using Python, displaying these models on a web interface served by Flask, and running the whole application in a Docker environment.

Repository Structure

/
├── blender/                  # Blender-related files
│   ├── models/               # Folder to store 3D models generated by Blender
│   └── scripts/              # Python scripts to generate 3D models
│       └── create_pyramid.py # Python script to generate a pyramid
├── docker/                   # Docker-related files
│   ├── app/                  # Flask application
│   │   ├── static/           # Static files (CSS, JS)
│   │   ├── templates/        # HTML templates
│   │   └── app.py            # Flask application script
│   ├── Dockerfile            # Dockerfile for the Flask application
│   └── docker-compose.yml    # Docker Compose configuration
├── threejs/                  # Three.js-related files
│   ├── models/               # Folder to store .gltf files for Three.js
│   └── scripts/              # JavaScript scripts for the 3D viewer
│       └── viewer.js         # JavaScript script for the 3D viewer
├── .gitignore
└── README.md

Getting Started

  1. Clone your repository:
git clone https://github.com/yourusername/your-repo-name.git
  1. Navigate to the blender/scripts directory and run the create_pyramid.py script to generate a pyramid model:
blender --background --python create_pyramid.py
  1. The generated model is saved as a .gltf file in the blender/models directory. Copy this file to the threejs/models directory.

  2. Build and run the Docker container:

cd docker
docker-compose up --build
  1. Open a web browser and navigate to localhost:5000 to view the 3D model in the Three.js viewer.

Remember, this pipeline is a basic example and might need to be adjusted based on your specific needs and environment.

License

This project is licensed under the terms of the MIT license. See the LICENSE file for details.

Contributing

Contributions are welcome! Please read the contributing guidelines first.


Just replace yourusername and your-repo-name with your actual GitHub username and the name of your repository. If you have a CONTRIBUTING.md file or a different license, you should update those links as well.