def test_ulid_timestamp():
timestamp_values = [0, 1558988971814002421, UINT64_MAX]
rnd = 42
for timestamp in timestamp_values:
identifier = timestamp.to_bytes(8, "big") + rnd.to_bytes(8, "big")
assert ULID(identifier).timestamp == timestamp
def convert_ulid_identifier(data: bytes) -> ULID:
return ULID(identifier=data)
@dataclass
class Range(Generic[ID]):
"""Inclusive range used to filter database entries."""
first: ID
last: ID
def __post_init__(self) -> None:
# Because the range is inclusive, the values can be equal
if self.first > self.last:
raise ValueError("last must be larger or equal to first")
LOW_STATECHANGE_ULID = StateChangeID(ULID((0).to_bytes(16, "big")))
HIGH_STATECHANGE_ULID = StateChangeID(ULID((2**128 - 1).to_bytes(16, "big")))
RANGE_ALL_STATE_CHANGES = Range(LOW_STATECHANGE_ULID, HIGH_STATECHANGE_ULID)
class Operator(Enum):
NONE = ""
AND = "AND"
OR = "OR"
class FilteredDBQuery(NamedTuple):
"""
FilteredDBQuery is a datastructure that helps
form a list of conditions and how they're grouped
in order to form more complicated queries