from sqlite_utils import utils import csv import io import pytest @pytest.mark.parametrize( "input,expected,should_be_is", [ ({}, None, True), ({"foo": "bar"}, None, True), ( {"content": {"$base64": True, "encoded": "aGVsbG8="}}, {"content": b"hello"}, False, ), ], ) def test_decode_base64_values(input, expected, should_be_is): actual = utils.decode_base64_values(input) if should_be_is: assert actual is input else: assert actual == expected @pytest.mark.parametrize( "size,expected", ( (1, [["a"], ["b"], ["c"], ["d"]]), (2, [["a", "b"], ["c", "d"]]), (3, [["a", "b", "c"], ["d"]]), (4, [["a", "b", "c", "d"]]), ), ) def test_chunks(size, expected): input = ["a", "b", "c", "d"] chunks = list(map(list, utils.chunks(input, size))) assert chunks == expected def test_hash_record(): expected = "d383e7c0ba88f5ffcdd09be660de164b3847401a" assert utils.hash_record({"name": "Cleo", "twitter": "CleoPaws"}) == expected assert ( utils.hash_record( {"name": "Cleo", "twitter": "CleoPaws", "age": 7}, keys=("name", "twitter") ) == expected ) assert ( utils.hash_record({"name": "Cleo", "twitter": "CleoPaws", "age": 7}) != expected ) def test_maximize_csv_field_size_limit(): # Reset to default in case other tests have changed it csv.field_size_limit(utils.ORIGINAL_CSV_FIELD_SIZE_LIMIT) long_value = "a" * 131073 long_csv = "id,text\n1,{}".format(long_value) fp = io.BytesIO(long_csv.encode("utf-8")) # Using rows_from_file should error with pytest.raises(csv.Error): rows, _ = utils.rows_from_file(fp, utils.Format.CSV) list(rows) # But if we call maximize_csv_field_size_limit() first it should be OK: utils.maximize_csv_field_size_limit() fp2 = io.BytesIO(long_csv.encode("utf-8")) rows2, _ = utils.rows_from_file(fp2, utils.Format.CSV) rows_list2 = list(rows2) assert len(rows_list2) == 1 assert rows_list2[0]["id"] == "1" assert rows_list2[0]["text"] == long_value @pytest.mark.parametrize( "input,expected", ( ({"foo": {"bar": 1}}, {"foo_bar": 1}), ({"foo": {"bar": [1, 2, {"baz": 3}]}}, {"foo_bar": [1, 2, {"baz": 3}]}), ({"foo": {"bar": 1, "baz": {"three": 3}}}, {"foo_bar": 1, "foo_baz_three": 3}), ), ) def test_flatten(input, expected): assert utils.flatten(input) == expected @pytest.mark.parametrize( "input,expected", ( ([], []), (["id", "name"], ["id", "name"]), (["id", "id"], ["id", "id_2"]), (["id", "id", "id"], ["id", "id_2", "id_3"]), # A renamed duplicate must not clobber a real column called id_2 (["id", "id", "id_2"], ["id", "id_3", "id_2"]), (["id_2", "id", "id"], ["id_2", "id", "id_3"]), (["id", "id", "id_2", "id_2"], ["id", "id_3", "id_2", "id_2_2"]), ), ) def test_dedupe_keys(input, expected): assert utils.dedupe_keys(input) == expected def test_update_wrapper_counts_bytes_not_chars(): # For utf-16-le each ASCII character is 2 bytes, so character count != byte count. # UpdateWrapper must report byte counts to match the os.path.getsize() total used by # the progress bar; otherwise the bar stops at ~50% for utf-16-le files. lines = ["hello\n", "world\n"] class FakeTextFile: encoding = "utf-16-le" def __iter__(self): return iter(lines) def read(self, size=-1): return "".join(lines) byte_counts = [] wrapper = utils.UpdateWrapper(FakeTextFile(), byte_counts.append) # Test __iter__ assert list(wrapper) == lines expected_iter_counts = [len(line.encode("utf-16-le")) for line in lines] assert byte_counts == expected_iter_counts # Sanity check: byte counts must differ from character counts for utf-16-le assert byte_counts[0] == len("hello\n") * 2 # Test read() byte_counts.clear() wrapper2 = utils.UpdateWrapper(FakeTextFile(), byte_counts.append) data = wrapper2.read() assert data == "hello\nworld\n" assert byte_counts == [len("hello\nworld\n".encode("utf-16-le"))]