elastro 0.1.3

A comprehensive Python library for Elasticsearch management with both programmatic and CLI interfaces

Elastro

A comprehensive Python module for managing Elasticsearch operations within pipeline processes.

Overview

Elastro is a Python library designed to simplify interactions with Elasticsearch. It provides a clean, intuitive API for common Elasticsearch operations including:

• Index management (create, update, delete)
• Document operations (indexing, searching, updating)
• Datastream management
• Advanced query building and search functionality

The library offers both a programmatic API and a command-line interface for seamless integration with various workflows.

Installation

pip install elastro

Or from source:

git clone https://github.com/Fremen-Labs/elastro.git
cd elastro
pip install -e .

Basic Usage

Client Connection

from elastro import ElasticsearchClient

# Connect using API key
client = ElasticsearchClient(
    hosts=["https://elasticsearch:9200"],
    auth={"api_key": "your-api-key"}
)

# Or using basic auth
client = ElasticsearchClient(
    hosts=["https://elasticsearch:9200"],
    auth={"username": "elastic", "password": "password"}
)

# Connect to Elasticsearch
client.connect()

Index Management

from elastro import IndexManager

index_manager = IndexManager(client)

# Create an index
index_manager.create(
    name="products",
    settings={
        "number_of_shards": 3,
        "number_of_replicas": 1
    },
    mappings={
        "properties": {
            "name": {"type": "text"},
            "price": {"type": "float"},
            "description": {"type": "text"},
            "created": {"type": "date"}
        }
    }
)

# Check if an index exists
if index_manager.exists("products"):
    print("Products index exists!")
    
# Delete an index
index_manager.delete("products")

Document Operations

from elastro import DocumentManager

doc_manager = DocumentManager(client)

# Index a document
doc_manager.index(
    index="products",
    id="1",
    document={
        "name": "Laptop",
        "price": 999.99,
        "description": "High-performance laptop",
        "created": "2023-05-01T12:00:00"
    }
)

# Search for documents
results = doc_manager.search(
    index="products",
    query={"match": {"name": "laptop"}}
)

print(results)

CLI Usage

# Initialize configuration
elastic-cli config init

# Create an index
elastic-cli index create products --shards 3 --replicas 1 --mapping ./product-mapping.json

# Add a document
elastic-cli doc index products --id 1 --file ./product.json

# Search documents
elastic-cli search products "name:laptop" --format json

Documentation

For more detailed documentation, please refer to the docs directory:

• Getting Started
• API Reference
• CLI Usage
• Advanced Features
• Troubleshooting

Examples

Check out the examples directory for more usage examples:

• Client Connection
• Index Management
• Document Operations
• Search Operations
• Datastream Management

Contributing

We welcome contributions to Elastro! If you'd like to contribute, please follow these guidelines:

Development Setup

1. Fork the repository
2. Clone your fork: git clone https://github.com/your-username/elastro.git
3. Install development dependencies: pip install -e ".[dev]"
4. Create a branch for your changes: git checkout -b feature/your-feature-name

Code Standards

• Follow PEP 8 style guidelines
• Use type hints for all method signatures and return values
• Write comprehensive docstrings (PEP 257) for all public classes and methods
• Keep files under 300 lines of code maximum
• Implement custom exception classes for different error categories
• Validate inputs using Pydantic before processing

Architecture Guidelines

• Maintain separation of concerns between core functionality and interfaces
• Design modular components with single responsibilities
• Follow SOLID principles
• Implement dependency injection for better testability
• Structure code by functionality rather than technology type

Testing

• Write unit tests with pytest for all new functionality
• Maintain test coverage of at least 80% for core functionality
• Run tests using ./run_tests.sh before submitting a PR

Submitting Changes

1. Ensure your code follows the project's standards
2. Write meaningful commit messages
3. Push your changes to your fork
4. Submit a pull request to the main repository
5. Describe your changes and the problem they solve

Documentation

• Update documentation for any changed functionality
• Add examples for new features
• Write clear, concise docstrings for all public APIs

License

MIT