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SDK Design and Methodology

Introduction​

Welcome to liblab’s Python SDK guide! This page explores our approach to SDK design for Python, covering configuration options and best practices to help you integrate liblab efficiently into Python applications. liblab’s Python SDK prioritizes readability, flexibility, and simplicity, making it easy for developers to get started quickly.

liblab's Python SDK Methodology​

liblab’s Python SDK is designed with Pythonic principles in mind. We focus on:

  • Ease of Use: Our SDK follows idiomatic Python patterns, minimizing boilerplate and maximizing simplicity.
  • Readability: By following Python’s core philosophy of readable code, we ensure the SDK is approachable and intuitive.
  • Lightweight Dependencies: We limit external dependencies to essential libraries to keep the SDK lean and fast.

For a comprehensive overview of Python SDK Generation, refer to the Introducing our Python SDK generation.

Python SDK Core Features​

To make the most of liblab’s Python SDK, we recommend following these best practices:

  • Adherence to Pythonic Principles: SDKs prioritize simplicity and clarity, aligning with Python’s philosophy of clean, readable, and intuitive code.
  • Comprehensive Documentation and Snippets: Enhance developer experience with auto-generated examples, reStructuredText (reST) docstrings, and integration-ready snippets, ensuring clear guidance and ease of use.
  • Python Naming Conventions: Use @JsonMap annotations to map API properties to Python-friendly names, improving code readability and avoiding conflicts with reserved keywords.
  • Input and Output Validation: Simplify input handling and ensure data integrity using the cast_models decorator and integrated validation mechanisms. Input data is automatically transformed into models and validated against rules derived from the OpenAPI spec, such as patterns, ranges, or optional constraints. Similarly, API responses are validated during deserialization to guarantee consistent and reliable data representation.
  • Intuitive Request Building with Serializer: Construct API requests effortlessly using the Serializer class, supporting various serialization styles like path parameters, query parameters, and more, in full compliance with OpenAPI standards.

Sample Code​

Here’s a sample Python script demonstrating basic initialization and an API request using liblab’s SDK.

from liblab_sdk import LibLabClient
from liblab_sdk.net.transport.request_error import RequestError

# Initialize the SDK client with your API key
client = LibLabClient(api_key="your_api_key")

try:
    # Make an API request
    response = client.resources.get_resources(
      limit=20, order="asc"
    )
    print("Response:", response)
except RequestError as e:
    print("An error occurred:", str(e))

This example illustrates setup, basic request handling, and error management, which are essential for using liblab’s Python SDK effectively.

FAQs and Common Pitfalls​

Q: Can I include custom dependencies with the SDK?​

A: Yes, use the hookDependencies options to add extra dependencies .

Q: How should errors be handled in production?​

A: Configure the SDK’s error handling to use retries or custom exception handling, as necessary, for a more resilient application.

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