python-betterproto/docs/migrating.rst
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Migrating Guide
===============
Google's protocolbuffers
------------------------
betterproto has a mostly 1 to 1 drop in replacement for Google's protocolbuffers (after
regenerating your protobufs of course) although there are some minor differences.
.. note::
betterproto implements the same basic methods including:
- :meth:`betterproto.Message.FromString`
- :meth:`betterproto.Message.SerializeToString`
for compatibility purposes, however it is important to note that these are
effectively aliases for :meth:`betterproto.Message.parse` and
:meth:`betterproto.Message.__bytes__` respectively.
Determining if a message was sent
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Sometimes it is useful to be able to determine whether a message has been sent on
the wire. This is how the Google wrapper types work to let you know whether a value is
unset (set as the default/zero value), or set as something else, for example.
Use ``betterproto.serialized_on_wire(message)`` to determine if it was sent. This is
a little bit different from the official Google generated Python code, and it lives
outside the generated ``Message`` class to prevent name clashes. Note that it only
supports Proto 3 and thus can only be used to check if ``Message`` fields are set.
You cannot check if a scalar was sent on the wire.
.. code-block:: python
# Old way (official Google Protobuf package)
>>> mymessage.HasField('myfield')
True
# New way (this project)
>>> betterproto.serialized_on_wire(mymessage.myfield)
True
One-of Support
~~~~~~~~~~~~~~
Protobuf supports grouping fields in a oneof clause. Only one of the fields in the group
may be set at a given time. For example, given the proto:
.. code-block:: proto
syntax = "proto3";
message Test {
oneof foo {
bool on = 1;
int32 count = 2;
string name = 3;
}
}
You can use ``betterproto.which_one_of(message, group_name)`` to determine which of the
fields was set. It returns a tuple of the field name and value, or a blank string and
``None`` if unset. Again this is a little different than the official Google code
generator:
.. code-block:: python
# Old way (official Google protobuf package)
>>> message.WhichOneof("group")
"foo"
# New way (this project)
>>> betterproto.which_one_of(message, "group")
("foo", "foo's value")
Well-Known Google Types
~~~~~~~~~~~~~~~~~~~~~~~
Google provides several well-known message types like a timestamp, duration, and several
wrappers used to provide optional zero value support. Each of these has a special JSON
representation and is handled a little differently from normal messages. The Python
mapping for these is as follows:
+-------------------------------+-----------------------------------------------+--------------------------+
| ``Google Message`` | ``Python Type`` | ``Default`` |
+===============================+===============================================+==========================+
| ``google.protobuf.duration`` | :class:`datetime.timedelta` | ``0`` |
+-------------------------------+-----------------------------------------------+--------------------------+
| ``google.protobuf.timestamp`` | ``Timezone-aware`` :class:`datetime.datetime` | ``1970-01-01T00:00:00Z`` |
+-------------------------------+-----------------------------------------------+--------------------------+
| ``google.protobuf.*Value`` | ``Optional[...]``/``None`` | ``None`` |
+-------------------------------+-----------------------------------------------+--------------------------+
| ``google.protobuf.*`` | ``betterproto.lib.google.protobuf.*`` | ``None`` |
+-------------------------------+-----------------------------------------------+--------------------------+
For the wrapper types, the Python type corresponds to the wrapped type, e.g.
``google.protobuf.BoolValue`` becomes ``Optional[bool]`` while
``google.protobuf.Int32Value`` becomes ``Optional[int]``. All of the optional values
default to None, so don't forget to check for that possible state.
Given:
.. code-block:: proto
syntax = "proto3";
import "google/protobuf/duration.proto";
import "google/protobuf/timestamp.proto";
import "google/protobuf/wrappers.proto";
message Test {
google.protobuf.BoolValue maybe = 1;
google.protobuf.Timestamp ts = 2;
google.protobuf.Duration duration = 3;
}
You can use it as such:
.. code-block:: python
>>> t = Test().from_dict({"maybe": True, "ts": "2019-01-01T12:00:00Z", "duration": "1.200s"})
>>> t
Test(maybe=True, ts=datetime.datetime(2019, 1, 1, 12, 0, tzinfo=datetime.timezone.utc), duration=datetime.timedelta(seconds=1, microseconds=200000))
>>> t.ts - t.duration
datetime.datetime(2019, 1, 1, 11, 59, 58, 800000, tzinfo=datetime.timezone.utc)
>>> t.ts.isoformat()
'2019-01-01T12:00:00+00:00'
>>> t.maybe = None
>>> t.to_dict()
{'ts': '2019-01-01T12:00:00Z', 'duration': '1.200s'}
[1.2.5] to [2.0.0b1]
--------------------
Updated package structures
~~~~~~~~~~~~~~~~~~~~~~~~~~
Generated code now strictly follows the *package structure* of the ``.proto`` files.
Consequently ``.proto`` files without a package will be combined in a single
``__init__.py`` file. To avoid overwriting existing ``__init__.py`` files, its best
to compile into a dedicated subdirectory.
Upgrading:
- Remove your previously compiled ``.py`` files.
- Create a new *empty* directory, e.g. ``generated`` or ``lib/generated/proto`` etc.
- Regenerate your python files into this directory
- Update import statements, e.g. ``import ExampleMessage from generated``