pipeline/tests/test_loader.py

import importlib.util
import sys
from pathlib import Path

import pytest

ROOT = Path(__file__).resolve().parents[1]
DATASET_DIR = ROOT / "hf_dataset"
spec = importlib.util.spec_from_file_location("isora", DATASET_DIR / "isora.py")
isora = importlib.util.module_from_spec(spec)
sys.modules["isora"] = isora
spec.loader.exec_module(isora)

needs_build = pytest.mark.skipif(
    not (DATASET_DIR / "data" / "panel.parquet").exists(), reason="run the build first"
)


@needs_build
def test_loader_reads_local_tables_and_helpers_work():
    kw = {"local_dir": str(DATASET_DIR)}
    obs = isora.load("observations", **kw)
    assert {"jurisdiction_code", "indicator_code", "fiscal_year", "value_numeric"} <= set(
        obs.columns
    )
    pan = isora.panel(**kw)
    assert {"jurisdiction_code", "fiscal_year", "revenue_to_gdp_pct", "income_group_wb"} <= set(
        pan.columns
    )
    assert not pan.duplicated(["jurisdiction_code", "fiscal_year"]).any()
    hits = isora.search("arrears", **kw)
    assert (hits["indicator_code"] == "337_092").any()
    desc = isora.describe("337_001", **kw)
    assert "ISORA 2020+" in desc.index
    w = isora.wide(["337_001"], **kw)
    assert ("337_001", 2022) in w.columns
    s = isora.series("80040_3", ["FRA"], **kw)
    assert (s["fiscal_year"] == 2022).any() and s["value_local_currency_units"].notna().any()


def test_unknown_table_raises():
    with pytest.raises(KeyError):
        isora.load("nope", local_dir=str(DATASET_DIR))