from __future__ import annotations
from src.shared.reference import (
Category,
OpType,
choose_resampling,
get_common_crs,
get_geospatial_glossary,
list_compression_methods,
list_resampling_methods,
normalize_resampling,
resampling_guide,
)
def test_common_crs_default_and_filtering() -> None:
entries = get_common_crs()
assert entries, "Expected default CRS list"
coverage_values = {entry["coverage"] for entry in entries}
assert "global" in coverage_values
europe_entries = get_common_crs("europe")
assert europe_entries
assert all(entry["coverage"] == "europe" for entry in europe_entries)
def test_resampling_methods_filters() -> None:
methods = list_resampling_methods()
assert any(m["name"] == "NEAREST" for m in methods)
categorical = list_resampling_methods(category="categorical")
assert categorical
assert all(m["category"] == Category.CATEGORICAL for m in categorical)
aggregate = list_resampling_methods(op_type="aggregate")
assert aggregate
assert all(m["op_type"] == OpType.AGGREGATE for m in aggregate)
def test_resampling_normalize_and_choose() -> None:
nearest = normalize_resampling("nearest")
assert nearest is not None and nearest["gdal_name"] == "nearest"
cubic_spline_alias = normalize_resampling("cubic-spline")
assert cubic_spline_alias is not None and cubic_spline_alias["name"] == "CUBIC_SPLINE"
categorical_down = choose_resampling(is_categorical=True, scale_ratio=0.5)
assert categorical_down["name"] in {"MODE", "NEAREST"}
continuous_up = choose_resampling(is_categorical=False, scale_ratio=2.0)
assert continuous_up["name"] in {"LANCZOS", "CUBIC", "BILINEAR"}
continuous_down = choose_resampling(is_categorical=False, scale_ratio=0.25)
assert continuous_down["name"] in {"GAUSS", "AVERAGE", "CUBIC", "NEAREST"}
def test_resampling_guide() -> None:
guide = resampling_guide()
assert len(guide) >= 3
nearest_entries = resampling_guide("nearest")
assert nearest_entries and all("nearest" in entry["method"] for entry in nearest_entries)
def test_compression_methods() -> None:
methods = list_compression_methods()
assert methods
names = {m["name"] for m in methods}
assert "LZW" in names
def test_geospatial_glossary_filtering() -> None:
glossary = get_geospatial_glossary()
assert glossary
terms = {entry["term"].lower() for entry in glossary}
assert "crs" in terms
filtered = get_geospatial_glossary("vector")
assert filtered and all("vector" in entry["term"].lower() for entry in filtered)
