import datetime import decimal import uuid import pytest from sqlmem._coerce import coerce_params, to_sqlite, to_sqlite_datetime from sqlmem.cache import CacheManager class _FakeCursor: def __init__(self, rows): self._rows = list(rows) self._pos = 0 self.description = None def fetchall(self): out = self._rows[self._pos :] self._pos = len(self._rows) return out def fetchmany(self, size): out = self._rows[self._pos : self._pos + size] self._pos += len(out) return out class FakeSource: """Stand-in for a pyodbc connection that returns non-sqlite-native types.""" def __init__(self, rows): self._rows = rows def execute(self, sql, *args): return _FakeCursor(self._rows) @pytest.fixture def cache(tmp_path): c = CacheManager(db_path=tmp_path / "cache.db", backup_interval=9999) yield c c.close() # --- to_sqlite / coerce_params unit tests ----------------------------------- def test_decimal_to_str(): assert to_sqlite(decimal.Decimal("9.99")) == "9.99" def test_decimal_keeps_precision(): assert to_sqlite(decimal.Decimal("123456789.123456789")) == "123456789.123456789" def test_datetime_to_iso(): assert to_sqlite(datetime.datetime(2026, 6, 1, 10, 0, 0)) == "2026-06-01T10:00:00" def test_date_to_iso(): assert to_sqlite(datetime.date(2026, 6, 1)) == "2026-06-01" def test_time_to_iso(): assert to_sqlite(datetime.time(10, 30, 0)) == "10:30:00" def test_uuid_to_str(): u = uuid.uuid4() assert to_sqlite(u) == str(u) def test_bytearray_to_bytes(): assert to_sqlite(bytearray(b"abc")) == b"abc" @pytest.mark.parametrize("value", [1, 1.5, "text", None, b"blob", True]) def test_native_values_pass_through(value): assert to_sqlite(value) == value def test_coerce_params_tuple(): assert coerce_params((decimal.Decimal("1.5"), "x")) == ("1.5", "x") def test_coerce_params_dict(): assert coerce_params({"p": decimal.Decimal("2")}) == {"p": "2"} def test_coerce_params_none(): assert coerce_params(None) is None # --- to_sqlite_datetime (INTEGER µs storage, 1.12.0) ------------------------ def test_datetime_to_epoch_micros(): # 2026-06-01T10:00:00Z -> microseconds since epoch dt = datetime.datetime(2026, 6, 1, 10, 0, 0, tzinfo=datetime.timezone.utc) expected = int(dt.timestamp() * 1_000_000) assert to_sqlite_datetime(dt) == expected def test_datetime_naive_treated_as_utc(): naive = datetime.datetime(2026, 6, 1, 10, 0, 0) aware = naive.replace(tzinfo=datetime.timezone.utc) assert to_sqlite_datetime(naive) == to_sqlite_datetime(aware) def test_datetime_micros_are_exact(): dt = datetime.datetime(2026, 6, 5, 14, 54, 24, 823000, tzinfo=datetime.timezone.utc) us = to_sqlite_datetime(dt) # round-trips back to the same instant with no rounding loss back = datetime.datetime(1970, 1, 1, tzinfo=datetime.timezone.utc) + datetime.timedelta( microseconds=us ) assert back == dt def test_datetime_none_passes_through(): assert to_sqlite_datetime(None) is None def test_datetime_iso_string_parsed(): assert to_sqlite_datetime("2026-06-01T10:00:00+00:00") == to_sqlite_datetime( datetime.datetime(2026, 6, 1, 10, 0, 0, tzinfo=datetime.timezone.utc) ) def test_datetime_unparseable_is_none(): assert to_sqlite_datetime("not a date") is None # --- integration: datetime_columns are stored as INTEGER -------------------- def test_datetime_column_stored_as_integer(tmp_path): c = CacheManager( db_path=tmp_path / "cache.db", backup_interval=9999, datetime_columns={"t": ["changed"]}, ) dt = datetime.datetime(2026, 6, 1, 10, 0, 0, tzinfo=datetime.timezone.utc) c.load_table("t", ["id", "changed"], FakeSource([("1", dt)])) # Column declared INTEGER, value stored as µs-since-epoch. coltype = c.connection.execute("PRAGMA table_info(t)").fetchall() types = {row[1]: row[2] for row in coltype} assert types["changed"] == "INTEGER" assert types["id"] == "TEXT" _, out = c.execute_in_memory("SELECT changed FROM t") assert out == [(to_sqlite_datetime(dt),)] c.close() def test_non_datetime_columns_unaffected_by_datetime_columns(tmp_path): c = CacheManager( db_path=tmp_path / "cache.db", backup_interval=9999, datetime_columns={"t": ["changed"]}, ) c.load_table("t", ["id", "price"], FakeSource([("1", decimal.Decimal("9.99"))])) _, out = c.execute_in_memory("SELECT id, price FROM t") assert out == [("1", "9.99")] # still TEXT/ISO coercion c.close() # --- integration: values reach the cache through coercion ------------------- def test_load_table_coerces_decimal_and_datetime(cache): rows = [("1", decimal.Decimal("9.99"), datetime.datetime(2026, 6, 1, 10, 0, 0))] cache.load_table("t", ["id", "price", "changed"], FakeSource(rows)) _, out = cache.execute_in_memory("SELECT id, price, changed FROM t") assert out == [("1", "9.99", "2026-06-01T10:00:00")] def test_decimal_where_param_matches_text_value(cache): cache.load_table("t", ["price"], FakeSource([("9.99",)])) _, out = cache.execute_in_memory( "SELECT price FROM t WHERE price = ?", (decimal.Decimal("9.99"),) ) assert out == [("9.99",)] def test_upsert_rows_coerces_decimal(cache): cache.load_table("t", ["id", "price"], FakeSource([("1", "0")])) cache.create_unique_index("t", ["id"]) cache.upsert_rows("t", ["id", "price"], [("1", decimal.Decimal("12.50"))]) _, out = cache.execute_in_memory("SELECT price FROM t WHERE id = '1'") assert out == [("12.50",)]