avatarNavneet Singh

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Abstract

colors = TextFieldDefaults.textFieldColors( backgroundColor = MaterialTheme.colors.surface ), placeholder = { Text(stringResource(R.string.placeholder_search)) }, modifier = modifier .fillMaxWidth() .heightIn(min = <span class="hljs-number">56.</span>dp) ) }</pre></div><h1 id="8783">Explanation</h1><ul><li>You can see in the above figure we need to design the search bar</li><li>The design is divided into many tiny pixels. We can use these pixels to find the dimension or spacing between different items.</li><li>The search bar has a height of 56 dp and a width equal to the parent.</li><li>Each pixel is 56/7=8dp</li><li>We will use a material component called a <b>Text field</b> to implement a search bar.</li><li>It is very similar to Edit Text for views. Like Edit Text it allows users to enter text into a UI.</li><li>It is of two types filled and outlined. It is mainly used in forms and dialogs. like — first name, last name, phone, address, etc.</li></ul><figure id="b858"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*0OlgZ49VIGSscHCP-EO4Fw.png"><figcaption></figcaption></figure><ul><li>As per the design, using a modifier <code>heightIn</code> we have added the min-height of 56.dp, and <code>fillMaxWidth</code> modifier utilizes the entire width of the parent.</li><li>It is the best practice to provide min-height so that the user can increase it according to his preferences.</li><li>we use <b>modifiers </b>to

  • change the composable size, layout, behavior, and appearance
  • Add information like accessibility labels
  • Process user input
  • Add high-level interactions, like making an element clickable, scrollable, draggable, or zoomable.</li><li

Options

we can chain multiple modifier methods to create a more complex adaptation.</li><li><code>value </code>parameter is used to provide any value to the Text field</li><li><code>onValueChange</code> callback performs any action when the Text field value changes.</li><li>SearchBar composable accepts a modifier that it is passing to TextField. It is the best practice followed by every composable.</li><li>It allows the caller to customize the look and feel of the composable, which makes it more flexible and reusable.</li><li>we have added a search icon to the Text field using the parameter <code>leadingIcon</code>.</li><li>We have added a background to the text Field using the parameter <code>colors </code>and method <code>TextFieldDefaults.textFieldColors</code></li><li><code>TextFieldDefaults</code> data class contains many parameters like <code>backgroundColor</code>, <code>textColor</code>, <code>placeholderColor </code>etc. We need not specify different parameters for it, we can simply use inbuilt methods of <code>TextFieldDefaults</code> .</li><li>we have added a placeholder text or hint using the parameter <code>placeholder</code> .</li></ul><h1 id="7309">Source Code</h1><ul><li><a href="https://github.com/abhineshchandra1234/MySoothe">https://github.com/abhineshchandra1234/MySoothe</a></li></ul><h1 id="f826">References</h1><ul><li><a href="https://developer.android.com/codelabs/jetpack-compose-layouts?continue=https%3A%2F%2Fdeveloper.android.com%2Fcourses%2Fpathways%2Fjetpack-compose-for-android-developers-1%23codelab-https%3A%2F%2Fdeveloper.android.com%2Fcodelabs%2Fjetpack-compose-layouts#3">Search bar — Modifiers</a></li><li><a href="https://m3.material.io/components/text-fields/overview">Text fields</a></li></ul></article></body>

FastAPI and Docker: A Match Made in Heaven

FastAPI, a modern web framework for building APIs with Python, and Docker, a popular containerization platform, are two powerful tools that complement each other seamlessly. Docker provides a lightweight, portable, and consistent environment for running applications, while FastAPI offers a fast, efficient, and easy-to-use framework for building APIs. In this article, we’ll explore how FastAPI and Docker work together to simplify the development, deployment, and scaling of web applications, making them a perfect match for modern software development workflows.

Understanding FastAPI and Docker:

FastAPI is a high-performance web framework for building APIs with Python 3.7+ based on standard Python type hints. It provides built-in support for asynchronous programming, automatic documentation generation, data validation using Pydantic, and dependency injection. FastAPI’s intuitive syntax and powerful features make it an excellent choice for developing APIs quickly and efficiently.

Docker is a containerization platform that allows developers to package applications and their dependencies into portable containers. Docker containers are lightweight, isolated, and self-contained, making it easy to deploy and run applications consistently across different environments. Docker provides tools for building, managing, and orchestrating containers, simplifying the deployment and scaling of applications.

Benefits of Using FastAPI with Docker:

Consistency: Docker ensures consistent environments for development, testing, and production, eliminating the “it works on my machine” problem. With Docker, you can package your FastAPI application and its dependencies into a container, ensuring that it runs consistently across different environments, including development laptops, testing servers, and production clusters.

Portability: Docker containers are portable and can run on any platform that supports Docker, including Linux, macOS, and Windows. This portability allows you to build your FastAPI application once and run it anywhere, making it easy to migrate, deploy, and scale your applications across different infrastructure providers and cloud platforms.

Isolation: Docker containers provide isolation between applications and their dependencies, ensuring that changes made to one container do not affect others. This isolation improves security, reliability, and stability by preventing conflicts and resource contention between applications running on the same host.

Scalability: Docker enables horizontal scaling of FastAPI applications by running multiple instances of containers across multiple hosts. Docker Swarm and Kubernetes provide orchestration tools for deploying and managing containerized applications at scale, allowing you to scale your FastAPI application effortlessly to handle increased traffic and workload.

Simplified Deployment: Docker simplifies the deployment of FastAPI applications by packaging them into containers along with their dependencies, configuration, and environment variables. This simplifies the deployment process, reduces deployment time, and minimizes the risk of deployment errors, making it easier to deploy FastAPI applications consistently and reliably.

Getting Started with FastAPI and Docker:

To get started with FastAPI and Docker, follow these steps:

Install Docker: Install Docker Desktop on your development machine from the official Docker website (https://www.docker.com/products/docker-desktop).

Create a FastAPI Application: Develop your FastAPI application using your favorite text editor or IDE. Define your API routes, models, dependencies, and other configurations as needed.

Write a Dockerfile: Create a Dockerfile in the root directory of your FastAPI application to define the container image for your application. Specify the base image, copy your application code into the image, install dependencies, and expose the necessary ports.

# Use the official Python base image
FROM python:3.9-slim

# Set the working directory in the container
WORKDIR /app

# Copy the FastAPI application code into the container
COPY . .

# Install dependencies
RUN pip install -r requirements.txt

# Expose the FastAPI application port
EXPOSE 8000

# Command to run the FastAPI application
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

Build the Docker Image: Use the docker build command to build the Docker image for your FastAPI application.

docker build -t my-fastapi-app .

Run the Docker Container: Use the docker run command to run the Docker container for your FastAPI application.

docker run -d -p 8000:8000 my-fastapi-app

Conclusion:

FastAPI and Docker are a match made in heaven, offering developers a powerful combination of speed, efficiency, consistency, and scalability for building and deploying modern web applications. By leveraging Docker containers to package and run FastAPI applications, developers can simplify the development, deployment, and scaling of their applications, making them more reliable, portable, and scalable. Whether you’re building a small-scale prototype or a large-scale production system, FastAPI and Docker provide the tools and flexibility you need to develop and deploy web applications with confidence. So, why not harness the power of FastAPI and Docker for your next project and experience the benefits firsthand!

Fastapi
Python
Docker
Backend Development
Deployment
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