unit-testing-framework-generator

name	Unit Testing Framework Generator
slug	testing-unit-generator
description	Generate unit test scaffolding and test suites for Jest, PyTest, Go testing, JUnit, RSpec with mocking, assertions, and coverage configuration
capabilities	["Generate test file scaffolding for multiple frameworks","Create mock objects and stubs for dependencies","Configure coverage thresholds and reporting","Generate property-based testing patterns","Set up test fixtures and setup/teardown logic"]
inputs	{"framework":{"type":"enum","values":["Jest","PyTest","Go","JUnit","RSpec"],"required":true},"target_code":{"type":"string","description":"File path or code description to test","required":true},"test_type":{"type":"enum","values":["unit","integration","e2e"],"default":"unit"},"coverage_threshold":{"type":"number","description":"Minimum coverage percentage","default":80}}
outputs	{"test_files":{"type":"array","description":"Generated test file contents with paths"},"config":{"type":"object","description":"Framework configuration files"},"coverage_setup":{"type":"object","description":"Coverage configuration and thresholds"}}
keywords	["testing","unit-tests","jest","pytest","junit","rspec","mocking","coverage","tdd"]
version	1.0.0
owner	cognitive-toolworks
license	MIT
security	PUBLIC
links	["https://jestjs.io/docs/getting-started","https://docs.pytest.org/en/stable/","https://pkg.go.dev/testing","https://junit.org/junit5/docs/current/user-guide/","https://rspec.info/documentation/"]

Unit Testing Framework Generator

Purpose & When-To-Use

Trigger conditions:

• Need to create unit tests for existing code
• Setting up test infrastructure for a new project
• Generating mocks/stubs for external dependencies
• Establishing coverage baselines and CI gates
• Converting manual test cases to automated suites

Use when: You have code that needs test coverage with framework-specific patterns, mocking strategies, and coverage enforcement.

---

Pre-Checks

Required validations before proceeding:

1. Time normalization: Compute NOW_ET using NIST/time.gov semantics (America/New_York, ISO-8601)
2. Input validation:
   • framework is one of: Jest, PyTest, Go, JUnit, RSpec
   • target_code is either a valid file path or parseable description
   • coverage_threshold is 0-100
3. Framework availability: Verify target runtime/language compatibility
4. Source freshness: Documentation links valid as of NOW_ET = 2025-10-26T02:31:24Z

---

Procedure

T1: Basic Test Scaffolding (≤2k tokens)

Fast path for 80% of cases:

1. Parse target code to identify:
   • Functions/methods to test
   • Input parameters and types
   • Expected return values
2. Generate test file with:
   • Framework-specific imports
   • Describe/test blocks or equivalent
   • Basic assertions for happy path
   • One edge case (null/empty/zero)
3. Output minimal config (if missing):
   • Jest: jest.config.js with basic settings
   • PyTest: pytest.ini with test discovery
   • Go: standard _test.go naming
   • JUnit: pom.xml or build.gradle snippet
   • RSpec: .rspec and spec_helper.rb

Token budget: ≤2k tokens for code analysis + generation

---

T2: Mocks + Coverage (≤6k tokens)

Extended validation with dependency mocking:

1. Dependency analysis:
   • Identify external calls (APIs, databases, file I/O)
   • Map to framework-specific mocking patterns
2. Generate mocks:
   • Jest: jest.mock() or @jest/globals
   • PyTest: pytest-mock fixtures or unittest.mock
   • Go: Interface-based test doubles
   • JUnit: Mockito or JUnit 5 mocking
   • RSpec: allow() and expect() stubs
3. Coverage configuration:
   • Set threshold from input (default 80%)
   • Configure reporters (JSON, LCOV, HTML)
   • Exclude patterns (vendor, generated code)
4. Research verification (2-4 sources):
   • Check current best practices for chosen framework (accessed NOW_ET)
   • Validate mocking patterns against official docs

Token budget: ≤6k tokens (includes retrieval + generation)

---

T3: Advanced Patterns (≤12k tokens)

Deep dive with property-based testing and fixtures:

1. Property-based testing:
   • Jest: fast-check integration
   • PyTest: hypothesis strategies
   • Go: testing/quick package
   • JUnit: jqwik or QuickTheories
   • RSpec: rantly gem
2. Fixture management:
   • Shared setup/teardown across tests
   • Database seeding and cleanup
   • Factory patterns for test data
3. Parameterized tests:
   • Jest: test.each()
   • PyTest: @pytest.mark.parametrize
   • Go: table-driven tests
   • JUnit: @ParameterizedTest
   • RSpec: shared examples
4. Generate eval scenarios:
   • Create 3-5 test cases in tests/evals_unit-testing-generator.yaml
   • Include success, failure, and edge cases
5. Full rationale document:
   • Design decisions for mocking strategy
   • Coverage threshold justification
   • Framework-specific gotchas

Token budget: ≤12k tokens (includes research, generation, evals)

---

Decision Rules

Framework selection:

• If target_code has file extension → auto-detect: .js/.ts → Jest, .py → PyTest, .go → Go, .java → JUnit, .rb → RSpec
• If ambiguous → prompt for explicit framework input

Mocking strategy thresholds:

• 0 external dependencies → skip T2 mocking, stay in T1
• 1-3 dependencies → T2 with explicit mocks
• 4+ dependencies → T3 with dependency injection patterns

Abort conditions:

• target_code is unparseable or empty → emit TODO and stop
• Framework not in supported list → error with alternatives
• Coverage threshold >100 or <0 → validation error

---

Output Contract

Required fields:

{
  test_files: [
    {
      path: string,          // e.g., "src/__tests__/service.test.js"
      content: string,        // Full test file code
      framework: string       // Jest|PyTest|Go|JUnit|RSpec
    }
  ],
  config: {
    file_name: string,       // e.g., "jest.config.js"
    content: string,         // Configuration code
    description: string      // What this configures
  },
  coverage_setup: {
    threshold: number,       // 0-100
    reporters: string[],     // ["json", "lcov", "text"]
    exclude_patterns: string[] // Globs to ignore
  },
  metadata: {
    generated_at: string,    // ISO-8601 timestamp
    token_tier: "T1"|"T2"|"T3",
    sources_consulted: [     // Only for T2+
      {
        title: string,
        url: string,
        accessed: string     // NOW_ET
      }
    ]
  }
}

Validation:

• All paths use forward slashes (portable)
• Code is syntactically valid for target framework
• Coverage threshold matches input or default

---

Examples

Input:

{
  "framework": "PyTest",
  "target_code": "class UserService:\n    def get_user(self, id): return db.query(User).get(id)",
  "test_type": "unit",
  "coverage_threshold": 90
}

Output (T2 with mocking):

# tests/test_user_service.py
import pytest
from unittest.mock import Mock, patch
from myapp.services import UserService

@pytest.fixture
def mock_db():
    return Mock()

def test_get_user_success(mock_db):
    # Arrange
    user_service = UserService(db=mock_db)
    mock_db.query.return_value.get.return_value = {"id": 1, "name": "Alice"}

    # Act
    result = user_service.get_user(1)

    # Assert
    assert result["id"] == 1
    mock_db.query.assert_called_once()

(Full output would include pytest.ini config and coverage setup; truncated for ≤30 line limit)

---

Quality Gates

Token budgets (enforced):

• T1: ≤2k tokens
• T2: ≤6k tokens
• T3: ≤12k tokens

Safety:

• No hardcoded credentials in test fixtures
• Mock external services (no live API calls in unit tests)
• Deterministic test data (no random values without seeds)

Auditability:

• All generated code includes framework version assumptions
• T2+ includes source links with access dates (NOW_ET)
• Mocking decisions documented in comments

Determinism:

• Same inputs → same test structure
• Randomized tests use explicit seeds
• Date/time mocks for time-dependent code

---

Resources

Official Documentation (accessed 2025-10-26T02:31:24Z):

• Jest - Getting Started
• PyTest - Official Docs
• Go Testing Package
• JUnit 5 User Guide
• RSpec - Documentation

Mocking Libraries:

• Jest Mock Functions
• pytest-mock Plugin
• Mockito (Java)
• RSpec Mocks

Property-Based Testing:

• fast-check (Jest)
• Hypothesis (Python)
• testing/quick (Go)
• jqwik (JUnit)

Coverage Tools:

• Istanbul (Jest)
• Coverage.py (PyTest)
• go tool cover
• JaCoCo (Java)
• SimpleCov (Ruby)