fake

Validate hvantk plugin module structure and registration with pytest.

Updated Feb 2, 2024

Search Tags:#testing #validation #plugin #genomics #hvantk

Ready to run

npx skills add https://github.com/bigbio/hvantk --skill fake

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fake
Source: https://github.com/bigbio/hvantk/tree/main/hvantk/tests/testdata/raw/plugins/fake_plugin
Command: npx skills add https://github.com/bigbio/hvantk --skill fake

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pytest, and includes scripts (resource) components.

What problem does it solve?

This Skill provides a standardized testing interface for verifying the integrity and loading capabilities of the hvantk plugin architecture.

Core Features & Use Cases

Loader Validation: Ensures that the hvantk system correctly identifies and registers new plugin modules.
Drift Detection: Validates that dataset fingerprints remain consistent across builds.
Use Case: Developers use this to confirm that their custom plugin structure meets the requirements for integration into the hvantk toolkit.

Quick Start

Run the fake plugin test suite to verify the current environment configuration.

Frequently Asked Questions about fake

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I validate hvantk plugin module registration and structural integrity?▼

To validate hvantk plugin module registration, you can use a stub plugin testing interface that verifies structural integrity and ensures the system correctly identifies and registers new modules.

What is the best way to test dataset builders and drift detection mechanisms in hvantk?▼

Testing dataset builders and drift detection mechanisms in hvantk requires an automated validation suite that checks dataset fingerprints and verifies schema snapshots to ensure consistency across builds.

Do I need pytest to execute hvantk plugin validation logic?▼

Yes, you need pytest to execute the hvantk plugin validation logic, as the test suite relies on it to verify schema snapshots and validate the registration process of plugin modules.

Can I use this plugin validation approach to confirm my custom plugin structure meets hvantk integration requirements?▼

Yes, developers use this plugin validation approach to confirm that their custom plugin structure meets the requirements for integration into the hvantk toolkit by validating the loading capabilities.

Why does hvantk loader validation fail to register my custom plugin modules?▼

Loader validation fails when custom plugin modules lack the required structural integrity for hvantk system registration, which the validation suite detects by testing the loading capabilities and schema consistency.

Does hvantk plugin testing support drift detection for dataset fingerprints across builds?▼

Yes, hvantk plugin testing supports drift detection by validating that dataset fingerprints remain consistent across builds, ensuring the structural integrity of the loaded plugin architecture.