def test_write_error(caplog):
result = DatabaseResult(ok=False,
fetch=False,
commit=False,
error=pymssql.Error("123", "abc"))
result.write_error_to_logger()
assert "Error" in caplog.text
def test_cast_to_dataframe():
result = DatabaseResult(ok=True,
fetch=True,
commit=False,
cursor=MockCursor(row_count=5))
df = result.to_dataframe()
assert isinstance(df, pandas.DataFrame)
assert df.columns.tolist() == list(result.columns)
def test_to_json_no_data():
result = DatabaseResult(
ok=True,
fetch=False,
commit=False,
)
with pytest.raises(ValueError):
result.to_json()
def test_cast_to_dataframe_no_pandas(monkeypatch):
monkeypatch.setitem(sys.modules, "pandas", None)
result = DatabaseResult(ok=True,
fetch=True,
commit=False,
cursor=MockCursor(row_count=5))
with pytest.raises(ImportError):
result.to_dataframe()
def test_correct_row_count_large_query():
result = DatabaseResult(ok=True,
fetch=True,
commit=False,
cursor=MockCursor(row_count=25000))
assert len(result.raw_data) == 25000
assert len(result.data) == 25000
def test_source_types():
result = DatabaseResult(ok=True,
fetch=True,
commit=False,
cursor=MockCursor(row_count=1))
assert result.source_types
assert isinstance(result.source_types, tuple)
assert isinstance(result.source_types[0], int)
def test_to_json_no_orjson(monkeypatch):
description = list(cursor_description)
example_row = list(cursor_row[0])
monkeypatch.setitem(sys.modules, "orjson", None)
result = DatabaseResult(
ok=True,
fetch=True,
commit=False,
cursor=MockCursor(row_count=3,
row=[tuple(example_row)],
description=tuple(description)),
)
with pytest.raises(ImportError):
result.to_json()
def test_to_json():
description = list(cursor_description)
example_row = list(cursor_row[0])
# remove bytes as not JSON Serializable
for idx in (37, 9, 8):
example_row.pop(idx)
description.pop(idx)
result = DatabaseResult(
ok=True,
fetch=True,
commit=False,
cursor=MockCursor(row_count=3,
row=[tuple(example_row)],
description=tuple(description)),
)
assert isinstance(result.to_json(), str)
assert isinstance(result.to_json(as_bytes=True), bytes)
def test_unhandled_data_parsing():
description = (("Col_Range", 3, None, None, None, None, None), )
cursor = MockCursor(row_count=1,
description=description,
row=[(range(1, 2), )])
with pytest.warns(RuntimeWarning):
result = DatabaseResult(ok=True,
fetch=True,
commit=False,
cursor=cursor)
assert result.data[0]["Col_Range"] == range(1, 2)
def test_no_data_errors():
result = DatabaseResult(
ok=True,
fetch=False,
commit=False,
)
with pytest.raises(ValueError):
result.data
with pytest.raises(ValueError):
result.raw_data
with pytest.raises(ValueError):
result.columns
with pytest.raises(ValueError):
result.source_types
def test_data_parsing():
result = DatabaseResult(ok=True,
fetch=True,
commit=False,
cursor=MockCursor(row_count=1))
check_correct_types(result.data[0])
def test_raise_error_but_no_error():
result = DatabaseResult(ok=False, fetch=False, commit=False)
with pytest.raises(ValueError, match=".*error instance"):
result.raise_error()
def test_raise_error_but_ok():
result = DatabaseResult(ok=True, fetch=False, commit=False)
with pytest.raises(ValueError, match=".*did not error"):
result.raise_error()
def test_write_error_no_error():
result = DatabaseResult(ok=False, fetch=False, commit=False)
with pytest.raises(ValueError, match=".*error message"):
result.write_error_to_logger()
def test_no_cursor_but_fetch():
with pytest.raises(ValueError):
DatabaseResult(ok=True, fetch=True, commit=False)