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

# 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

# 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)

# 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

# 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