63 lines
1.8 KiB
Python
63 lines
1.8 KiB
Python
import pytest
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import logging
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from unittest.mock import patch
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from tools import query_data_impl
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def test_returns_list():
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result = query_data_impl("any query")
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assert isinstance(result, list)
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def test_returns_nonempty():
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result = query_data_impl("revenue breakdown")
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assert len(result) > 0
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def test_rows_have_expected_columns():
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result = query_data_impl("test")
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row = result[0]
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assert "date" in row
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assert "category" in row
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assert "subcategory" in row
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assert "amount" in row
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assert "type" in row
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def test_query_param_doesnt_filter():
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r1 = query_data_impl("revenue")
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r2 = query_data_impl("expenses")
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assert len(r1) == len(r2) # same data regardless of query
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def test_all_six_columns_present():
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"""Verify all 6 expected columns including 'notes'."""
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result = query_data_impl("test")
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row = result[0]
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for col in ("date", "category", "subcategory", "amount", "type", "notes"):
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assert col in row, f"Missing column: {col}"
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def test_amount_is_string():
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"""Amount should be a string (CSV DictReader returns strings, mock data also uses strings)."""
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result = query_data_impl("test")
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for row in result:
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assert isinstance(row["amount"], str), (
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f"amount should be str, got {type(row['amount'])}"
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)
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def test_csv_fallback_uses_mock_data(caplog):
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"""When CSV path doesn't exist, module falls back to mock data with a warning."""
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# We can't easily re-trigger module-level loading, but we can verify the
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# mock data structure matches expectations — the _MOCK_DATA is what gets
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# used when CSV is missing.
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from tools.query_data import _MOCK_DATA
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assert len(_MOCK_DATA) == 3
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for row in _MOCK_DATA:
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assert "date" in row
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assert "category" in row
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assert "notes" in row
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assert isinstance(row["amount"], str)
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