Proto Plus provides a service that converts between protocol buffer objects and native Python types (or the wrapper types provided by this library).
This allows native Python objects to be used in place of protocol buffer messages where appropriate. In all cases, we return the native type, and are liberal on what we accept.
The following types are currently handled by Proto Plus:
Protocol buffer type | Python type | Nullable |
---|---|---|
google.protobuf.BoolValue |
bool |
|
google.protobuf.BytesValue |
bytes |
|
google.protobuf.DoubleValue |
float |
|
google.protobuf.Duration |
datetime.timedelta |
|
google.protobuf.FloatValue |
float |
|
google.protobuf.Int32Value |
int |
|
google.protobuf.Int64Value |
int |
|
google.protobuf.ListValue |
MutableSequence |
|
google.protobuf.StringValue |
str |
|
google.protobuf.Struct |
MutableMapping |
|
google.protobuf.Timestamp |
datetime.datetime |
|
google.protobuf.UInt32Value |
int |
|
google.protobuf.UInt64Value |
int |
|
google.protobuf.Value |
JSON-encodable values |
|
Note
Protocol buffers include well-known types for Timestamp
and Duration
, both of which have nanosecond precision. However, the Python datetime
and timedelta
objects have only microsecond precision. This library converts timestamps to an implementation of datetime.datetime
, DatetimeWithNanoseconds, that includes nanosecond precision.
If you write a timestamp field using a Python datetime
value, any existing nanosecond precision will be overwritten.
Note
Setting a bytes
field from a string value will first base64 decode the string. This is necessary to preserve the original protobuf semantics when converting between Python dicts and proto messages. Converting a message containing a bytes field to a dict will base64 encode the bytes field and yield a value of type str.
import proto
from google.protobuf.json_format import ParseDict
class MyMessage(proto.Message):
data = proto.Field(proto.BYTES, number=1)
msg = MyMessage(data=b"this is a message")
msg_dict = MyMessage.to_dict(msg)
# Note: the value is the base64 encoded string of the bytes field.
# It has a type of str, NOT bytes.
assert type(msg_dict['data']) == str
msg_pb = ParseDict(msg_dict, MyMessage.pb())
msg_two = MyMessage(msg_dict)
assert msg == msg_pb == msg_two
Additionally, every ~.Message
subclass is a wrapper class. The creation of the class also creates the underlying protocol buffer class, and this is registered to the marshal.
The underlying protocol buffer message class is accessible with the ~.Message.pb
class method.