README

# README

## EasyCache logo and badges

![EasyCache Logo](link_to_logo_image)  
[![Build Status](link_to_build_status_badge)](link_to_CI) [![License](link_to_license_badge)](link_to_license_file)

## EasyCache

[GitHub Repository Link](https://github.com/example/easycache)  
Owner: [Your Organization or Developer Name]

## Table of contents

1. [Project Description](#project-description)
2. [Who This Project Is For](#who-this-project-is-for)
3. [Project Dependencies](#project-dependencies)
4. [Instructions for Using EasyCache](#instructions-for-using-easycache)
5. [Troubleshooting EasyCache](#troubleshooting-easycache)
6. [Contributing Guidelines](#contributing-guidelines)
7. [Additional Documentation](#additional-documentation)
8. [How to Get Help](#how-to-get-help)
9. [Terms of Use](#terms-of-use)

## Project description

With **EasyCache**, you can efficiently cache data in memory or on disk.

**EasyCache** helps you store and retrieve data quickly using a modified version of the LRU (Least Recently Used) caching algorithm, which is optimized for both in-memory and disk-based storage.

Unlike other caching solutions, **EasyCache** is designed to be faster and more versatile by supporting multiple data types, such as strings, numbers, and objects.

![EasyCache Sample Configuration](link_to_sample_configuration_screenshot)

**Key Features:**
- Modified LRU algorithm for efficient caching
- Supports both in-memory and disk-based storage
- Handles multiple data types: strings, numbers, objects
- Quick lookups using a balanced hash map

## Who this project is for

This project is intended for **developers** who want to **implement fast and flexible caching solutions** in their Python applications. Whether you're working on web applications, data processing, or other software that requires efficient data storage and retrieval, **EasyCache** provides a reliable and scalable solution.

## Project dependencies

Before using **EasyCache**, ensure you have:

* **Python 3.6+** installed
* The following Python libraries:
  - `pyyaml` for configuration parsing
  - `fastcache` (optional) for enhanced in-memory operations

To install these dependencies, you can use:

```bash
pip install pyyaml fastcache
```

## Instructions for using EasyCache

Get started with **EasyCache** by following the steps below:

### Install EasyCache

1. **Install via PyPI:**

    ```bash
    pip install easycache
    ```

    This command installs EasyCache and its required dependencies.

2. **Install from GitHub:**

    If you want the latest version with recent updates:

    ```bash
    pip install git+https://github.com/example/easycache.git
    ```

### Configure EasyCache

1. **Configuration via YAML file:**

   EasyCache can be configured using a YAML configuration file. Here's an example configuration:

    ```yaml
    cache:
      type: "memory"
      max_size: 1000
      eviction_policy: "lru"
    ```

   Save this file as `easycache.yaml` in your project directory.

2. **Configuration in Code:**

    You can also configure EasyCache directly in your Python code:

    ```python
    from easycache import EasyCache

    config = {
        "type": "memory",
        "max_size": 1000,
        "eviction_policy": "lru"
    }

    cache = EasyCache(config)
    ```

### Run EasyCache

1. **Initialize and use EasyCache in your application:**

    ```python
    from easycache import EasyCache

    cache = EasyCache({"type": "memory", "max_size": 1000})

    cache.set("key", "value")
    value = cache.get("key")
    print(value)  # Outputs: "value"
    ```

2. **Handling disk-based storage:**

    ```python
    cache = EasyCache({"type": "disk", "max_size": 10000, "path": "/tmp/easycache"})
    ```

    This initializes EasyCache to store data on disk in the specified path.

### Troubleshoot EasyCache

| Issue                                | Solution                                                                 |
|--------------------------------------|--------------------------------------------------------------------------|
| Unable to install EasyCache          | Ensure all dependencies are met, and the correct version of Python is installed. |
| Data not caching properly            | Check the configuration file for errors or incorrect settings.             |
| High memory usage                    | Adjust cache size or eviction policy settings.                             |
| Configuration file not recognized    | Ensure the `easycache.yaml` file is in the correct directory or specify the full path when loading. |

Other troubleshooting supports:

* [FAQs](link_to_FAQs)
* [Runbooks](link_to_runbooks)
* [Other relevant support information](link_to_other_support_resources)

## Contributing guidelines

Please see the [CONTRIBUTING.md](https://github.com/example/easycache/blob/main/CONTRIBUTING.md) for guidelines on how to contribute to EasyCache.

## Additional documentation

For more information:

* [API Reference](link_to_API_reference)
* [Performance Benchmarks](link_to_performance_benchmarks)
* [Architecture Overview](link_to_architecture_overview)

## How to get help

* [Community Forum](link_to_community_forum)
* [Email Support](link_to_email_support)
* [Slack Channel](link_to_slack_channel)

## Terms of use

EasyCache is licensed under the [MIT License](https://github.com/example/easycache/blob/main/LICENSE).