GEO INFER TEST

---
name: geo-infer-test
description: Unified test runner and testing infrastructure for the GEO-INFER ecosystem. Use when running cross-module tests, configuring test categories, setting up test fixtures for spatial data, or analyzing test results.
prerequisites:
  required: []
  recommended: []
difficulty: beginner
estimated_time: 30min
examples_dir: ../GEO-INFER-EXAMPLES/examples/
---

# GEO-INFER-TEST

## Instructions

### Core Capabilities

- **Unified test runner**: `run_unified_tests.py` for all 44 modules
- **Category filtering**: unit, integration, system, performance
- **Module filtering**: Test individual or groups of modules
- **Result reporting**: JUnit XML + HTML reports per module
- **Fixtures**: Shared spatial test data and coordinate generators

### Usage

```bash
# Run all tests
uv run python GEO-INFER-TEST/run_unified_tests.py

# Run specific module
uv run python GEO-INFER-TEST/run_unified_tests.py --module MATH

# Run by category
uv run python GEO-INFER-TEST/run_unified_tests.py --category integration

# Direct pytest
uv run python -m pytest GEO-INFER-MATH/tests/unit/ -v --tb=short
```

### Pytest Markers

`unit`, `integration`, `system`, `performance`, `geospatial`, `api`, `slow`, `fast`

## Examples

```python
# Spatial test fixture: generate realistic test coordinates
import numpy as np

def make_test_coordinates(n=100, center=(45.5, -122.6), spread=0.1):
    """Generate n random lat/lng pairs around a center point."""
    lats = np.random.normal(center[0], spread, n)
    lngs = np.random.normal(center[1], spread, n)
    return list(zip(lats.clip(-90, 90), lngs.clip(-180, 180)))

coords = make_test_coordinates(200)
```

```python
# Property-based test example with Hypothesis
from hypothesis import given, strategies as st
import numpy as np

@given(
    lat=st.floats(min_value=-90, max_value=90),
    lng=st.floats(min_value=-180, max_value=180),
    resolution=st.integers(min_value=0, max_value=15)
)
def test_h3_roundtrip(lat, lng, resolution):
    """H3 cell encoding/decoding preserves approximate coordinates."""
    import h3
    cell = h3.latlng_to_cell(lat, lng, resolution)
    rlat, rlng = h3.cell_to_latlng(cell)
    assert abs(rlat - lat) < 1.0  # Within ~1 degree
```

```bash
# Run specific test categories
uv run python -m pytest GEO-INFER-MATH/tests/ -m "unit and not slow" -v
uv run python -m pytest GEO-INFER-SPACE/tests/ -m "geospatial" -v
uv run python -m pytest GEO-INFER-ACT/tests/ -m "integration" -v --tb=short
```

## Guidelines

- Use real objects in tests
- Property-based tests (Hypothesis) in ≥10 modules
- Results saved to `.geo-infer-test-results/{MODULE}_results.xml`

### Integrations

- **EXAMPLES** → Example code treated as integration tests
- **OPS** → CI/CD test results feed monitoring
- **All modules** → Unified test runner spans all 44 modules