pipeline/tests/test_structures.py

from isora_hf.config import DATAFLOWS
from isora_hf.structures import annotations, indicator_row, normalize_indicator_type


def test_normalize_indicator_type_handles_case_and_trailing_space():
    assert normalize_indicator_type("Currency ") == "currency"
    assert normalize_indicator_type("Counting") == "count"
    assert normalize_indicator_type("") == "unspecified"
    assert normalize_indicator_type(None) == "unspecified"
    assert normalize_indicator_type("NA") == "unspecified"


def test_annotations_flatten_and_drop_empties():
    code = {
        "annotations": [
            {"title": "A", "text": " x "},
            {"title": "B", "text": ""},
            {"title": "C", "value": "v"},
        ]
    }
    assert annotations(code) == {"A": "x", "C": "v"}


def test_indicator_row_detects_derived_currency_and_thousands():
    code = {
        "id": "337_059",
        "name": "Active taxpayers (in thousands in local currency)",
        "annotations": [
            {"title": "DissemScale", "text": "Currency"},
            {"title": "DissemCurrency", "text": "NC"},
            {"title": "OriginalFormula", "text": "+95860_38/+398_004"},
            {"title": "Suppress", "text": "Yes"},
        ],
    }
    row = indicator_row(DATAFLOWS[2], "6.0.6", code)
    assert row["is_derived"] is True
    assert row["is_local_currency"] is True
    assert row["label_mentions_thousands"] is True
    assert row["indicator_type"] == "currency"
    assert row["suppressed_in_source_tables"] is True
    assert row["questionnaire_generation"] == "ISORA 2020+"


def test_declared_monetary_codes_excludes_mistyped_counts():
    import pandas as pd

    from isora_hf.structures import declared_monetary_codes

    frame = pd.DataFrame(
        [
            {
                "indicator_code": "A",
                "label": "Total revenue collections - Net",
                "indicator_type": "currency",
            },
            {
                "indicator_code": "B",
                "label": "Number of complaints for the fiscal year",
                "indicator_type": "currency",
            },
            {
                "indicator_code": "C",
                "label": "Opening stock of tax debt cases",
                "indicator_type": "currency",
            },
            {
                "indicator_code": "D",
                "label": "Cases under litigation - Value of cases resolved",
                "indicator_type": "currency",
            },
            {"indicator_code": "E", "label": "Staff total", "indicator_type": "count"},
        ]
    )
    assert declared_monetary_codes(frame) == {"A", "D"}