pytest-test-generator

name	pytest-test-generator
description	Generate pytest test templates for LiquidationHeatmap modules following TDD patterns. Automatically creates RED phase tests with fixtures, coverage markers, and integration test stubs. Use when this capability is needed.
metadata	{"author":"ForceInjection"}

Pytest Test Generator

Generate standardized pytest tests for LiquidationHeatmap modules following strict TDD discipline.

Quick Start

User says: "Generate tests for liquidation model"

Skill generates:

# tests/test_liquidation.py
import pytest
from src.models.liquidation import LiquidationCalculator

@pytest.fixture
def calculator():
    """Fixture for LiquidationCalculator"""
    return LiquidationCalculator()

def test_long_liquidation_price(calculator):
    """Test long position liquidation price calculation"""
    result = calculator.calculate_liq_price(
        entry_price=100.0,
        leverage=10,
        side="long"
    )
    assert result == pytest.approx(90.0, rel=0.01)

def test_short_liquidation_price(calculator):
    """Test short position liquidation price calculation"""
    result = calculator.calculate_liq_price(
        entry_price=100.0,
        leverage=10,
        side="short"
    )
    assert result == pytest.approx(110.0, rel=0.01)

Templates

1. Model Test Template

import pytest
from src.models.{module} import {ClassName}

@pytest.fixture
def {module_instance}():
    """{Description}"""
    return {ClassName}()

def test_{function_name}({module_instance}):
    """Test {description}"""
    result = {module_instance}.{method}()
    assert result is not None

2. DuckDB Test Template

import pytest
import duckdb
from src.data.{module} import {ClassName}

@pytest.fixture
def db_connection(tmp_path):
    """Create temporary DuckDB database"""
    db_path = tmp_path / "test.duckdb"
    conn = duckdb.connect(str(db_path))
    yield conn
    conn.close()

def test_{function_name}(db_connection):
    """Test {description}"""
    # Setup test data
    db_connection.execute("CREATE TABLE test (id INTEGER, value DOUBLE)")
    db_connection.execute("INSERT INTO test VALUES (1, 100.0)")

    # Test query
    result = db_connection.execute("SELECT * FROM test").fetchall()
    assert len(result) == 1

3. Integration Test Template

import pytest
from src.models.{module1} import {Class1}
from src.models.{module2} import {Class2}

@pytest.mark.integration
def test_{module1}_to_{module2}_integration():
    """Test {module1} → {module2} integration"""
    upstream = {Class1}()
    downstream = {Class2}()

    # Generate test data
    input_data = upstream.process()

    # Process through pipeline
    output_data = downstream.process(input_data)

    # Validate integration
    assert output_data is not None

4. Coverage Marker Template

@pytest.mark.cov
def test_{function_name}():
    """Test with coverage tracking"""
    pass

Usage Patterns

Pattern 1: New Module

User: "Create tests for src/models/heatmap.py"

Skill:
1. Detect module type (model/data/service)
2. Generate fixture
3. Create 3-5 core tests (RED phase)
4. Add integration test stub
5. Write to tests/test_heatmap.py

Pattern 2: Add Test to Existing File

User: "Add test for calculate_density function"

Skill:
1. Read existing tests/test_heatmap.py
2. Generate new test function
3. Append to file

Pattern 3: Integration Test

User: "Create integration test for ingestion → heatmap"

Skill:
1. Generate integration test in tests/integration/
2. Include both modules
3. Create end-to-end flow test

Test Naming Conventions

Pattern	Example	Use Case
test_{module}_*	test_liquidation_long	Unit test
test_{action}_*	test_calculate_density	Action-based test
test_{module1}_to_{module2}	test_ingest_to_heatmap	Integration
test_{edge_case}	test_zero_leverage	Edge case

Fixtures Library

LiquidationHeatmap Test Fixtures

@pytest.fixture
def sample_trades_df():
    """Load sample trades DataFrame"""
    return pd.DataFrame({
        "timestamp": pd.date_range("2025-01-01", periods=100, freq="1min"),
        "price": [100.0 + i * 0.1 for i in range(100)],
        "volume": [1.0] * 100,
    })

@pytest.fixture
def sample_positions():
    """Sample open positions for testing"""
    return [
        {"entry_price": 100.0, "leverage": 10, "side": "long", "size": 1.0},
        {"entry_price": 105.0, "leverage": 5, "side": "short", "size": 0.5},
    ]

DuckDB Fixtures

@pytest.fixture
def populated_db(db_connection):
    """DuckDB with sample data"""
    db_connection.execute("""
        CREATE TABLE trades (
            timestamp TIMESTAMP,
            price DOUBLE,
            volume DOUBLE
        )
    """)
    # Insert sample data
    return db_connection

Coverage Configuration

Auto-generate pytest.ini:

[pytest]
testpaths = tests
python_files = test_*.py
python_classes = Test*
python_functions = test_*
markers =
    integration: integration test
    slow: slow test (deselect with -m 'not slow')
addopts =
    --cov=src
    --cov-report=term-missing
    --cov-report=html
    --cov-fail-under=80

Output Format

Generated test file:

"""
Tests for {module_name}
Coverage target: >80%
"""
import pytest
from src.models.{module} import {ClassName}

# Fixtures
@pytest.fixture
def {fixture_name}():
    """..."""
    pass

# Unit Tests (RED phase - should fail initially)
def test_{feature_1}():
    """Test {description}"""
    assert False  # RED: Not implemented yet

def test_{feature_2}():
    """Test {description}"""
    assert False  # RED: Not implemented yet

# Integration Tests
@pytest.mark.integration
def test_integration():
    """Test module integration"""
    pass

Automatic Invocation

Triggers:

• "generate tests for [module]"
• "create test file for [file]"
• "add test for [function]"
• "write integration test for [module1] and [module2]"

Does NOT trigger:

• Complex test logic design (use subagent)
• Full TDD enforcement (use tdd-guard subagent)
• Test debugging (use general debugging)

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Source: ForceInjection/domain-driven-design-skills — distributed by TomeVault.