Library to converter between protos
Reason this release was yanked:
old version
Project description
Python Proto Converter
The Python Proto Converter converts between protos in Python. Proto conversion is often needed when converting between Database Access Object (DAO) and API proto.
Install
pip install python-proto-converter
Run the example
-
Build the proto (assuming in exmaple/ directory) protoc -I=. --python_out=. ./example_proto.proto
-
execute python3 ./converter_example.py
Features
- A base class that auto-converts fields with the same name and type.
- Custom convert functions can be implemented to handle fields conversion.
- Fields can be disabled during auto-converting.
- Unhandled fields assertion during class instantiation.
Example
Basic usage
Let's start with a simple example, suppose you want to convert from one similar proto to another. For this example, these are the MatchaMilkTea to GreenTeaMilkTea protos.
message MatchaMilkTea {
string name = 1;
float price = 2;
string seller = 3;
}
message GreenTeaMilkTea {
string name = 1;
int64 price = 2;
string seller = 3;
}
The name
and seller
fields can be auto-converted, since the type and the
field name are identical. However, we probably don't want to copy the name of
MatchaMilkTea to GreenTeaMilkTea. To disable auto-convert on the name
field,
we mark it ignored and provide our custom function for the name
field.
The price
field has different types (float vs int64), therefore it can't be
auto-converted. Leaving it unhandled will trigger an exception when creating the
proto converter. Similar to the name
field, we can create a custom method to
convert the price
field.
from google3.alkali.contrib.certified.python.proto import converter
...
class MatchaToGreenTeaConverter(converter.ProtoConverter):
def __init__(self):
super(MatchaToGreenTeaConverter, self).__init__(
pb_class_from=matcha_milk_tea_pb2.MatchaMilkTea,
pb_class_to=green_tea_milk_tea_pb2.GreenTeaMilkTea,
field_names_to_ignore=["name"])
@converter.convert_field(field_names=["price"])
def price_convert_function(self, src_proto, dest_proto):
dest_proto.price = int(src_proto.price)
@converter.convert_field(field_names=["name"])
def name_convert_function(self, src_proto, dest_proto):
dest_proto.name = "GreenTeaMilkTea"
Or you can combine them in the same method since these fields are simple:
@converter.convert_field(field_names=["price", "name"])
def price_name_convert_function(self, src_proto, dest_proto):
dest_proto.price = int(src_proto.price)
dest_proto.name = "GreenTeaMilkTea"
Now you can create the converter in code and use it:
...
matcha_to_green_tea_converter = MatchaToGreenTeaConverter()
green_tea_milk_tea_proto = matcha_to_green_tea_converter.convert(matcha_milk_tea_proto)
...
Nested protos
Let's make this example a bit more complicated by adding some fields.
enum Flavor {
GREEN_TEA = 0;
MATCHA = 1;
BERRY = 2;
SPICY = 3;
}
message MilkTea {
string name = 1;
float price = 2;
Flavor flavor = 3;
}
message MatchaMilkTea {
MilkTea milk_tea = 1;
int64 sugar = 2;
repeated string shops = 3;
string matcha_provider = 4;
map<string, int64> ingredients = 5;
map<string, string> ingredients_calorie_map = 6;
repeated string cup_sizes = 7;
}
message GreenTeaMilkTea {
MilkTea milk_tea = 1;
float sugar = 2;
repeated string shops = 3;
string green_tea_provider = 4;
map<string, int64> ingredients = 5;
map<string, int32> ingredients_calorie_map = 6;
repeated int64 cup_sizes = 7;
}
Most of the fields are identical and can be auto-converted, except:
- float sugar and int64 sugar;
- string green_tea_provider;
- string matcha_provider;
- ingredients_calorie_map;
- cup_sizes;
You can create a new MatchaToGreenTeaConverter class that inherits ProtoConverter to convert from MatchaMilkTea to GreenTeaMilkTea:
from google3.alkali.contrib.certified.python.proto import converter
...
class MatchaToGreenTeaConverter(converter.ProtoConverter):
def __init__(self):
super(MatchaToGreenTeaConverter, self).__init__(
pb_class_from=matcha_milk_tea_pb2.MatchaMilkTea,
pb_class_to=green_tea_milk_tea_pb2.GreenTeaMilkTea,
field_names_to_ignore=["ingredients_calorie_map", "cup_sizes"])
@converter.convert_field(field_names=["sugar"])
def sugar_convert_function(self, src_proto, dest_proto):
dest_proto.sugar = int(src_proto.sugar)
@converter.convert_field(field_names=["matcha_provider"])
def provider_convert_function(self, src_proto, dest_proto):
dest_proto.green_tea_provider = src_proto.matcha_provider
pb_class_from
andpb_class_to
are the constructors of the protos.- pb_class_from.Fields in
field_names_to_ignore
will be ignored during auto-conversion and when validating that all fields have been handled. In the example,ingredients_calorie_map
andcup_sizes
are ignored during conversion. @converter.convert_field
decorates a custom conversion function. In this example, we have two functions to convert thesugar
field and thematcha_provider
field.- All fields that can't be auto-converted from the source proto must either be
handled by custom conversion functions or listed in
field_names_to_ignore
.
Oneof fields
Oneof fields can be tricky and error-prone, therefore it is required to explicitly handle or ignore all the fields in oneofs.
message MochiFlavor {
string flavor = 1;
}
message Mochi {
oneof price {
string price_str = 1;
float price_float = 2;
}
oneof flavor {
Flavor flavor_enum = 3;
MochiFlavor flavor_proto = 4;
}
int64 calorie = 5;
}
message TaroMochi {
float price_float = 1;
MochiFlavor flavor_proto = 2;
int64 calorie = 3;
}
proto_converter = converter.ProtoConverter(
pb_class_from=mochi_pb2.Mochi,
pb_class_to=mochi_pb2.Taromochi,
field_names_to_ignore=["flavor_enum", "price_str"])
src_proto = mochi_pb2.Mochi(
price_float=3.14,
flavor_proto=mochi_pb2.MochiFlavor(flavor="taro"),
calorie=100)
dest_proto = proto_converter.convert(src_proto=src_proto)
In the above example, even though flavor_enum
and price_str
fields are not
used, ProtoConverter will still raise an exception if these fields are not
ignored.
Any fields
Proto
to Any
and Any
to Any
are converted automatically as long as the
field name matches.
message AnyMochiBox {
string name = 1;
google.protobuf.Any mochi = 2;
}
message TaroMochiBox {
string name = 1;
TaroMochi mochi = 2;
}
In the example below, ProtoConverter auto-converts a TaroMochi field to a Any field.
taro_mochi = mochi_pb2.TaroMochi(price_float=3.14,
flavor_proto=mochi_pb2.MochiFlavor(flavor="taro"), calorie=100)
proto_converter = converter.ProtoConverter(
pb_class_from=mochi_pb2.TaroMochiBox, pb_class_to=mochi_pb2.AnyMochiBox)
src_proto = mochi_pb2.TaroMochiBox(name="TaroMochiBox", mochi=taro_mochi)
dest_proto = proto_converter.convert(src_proto=src_proto)
Similarily, ProtoConverter auto-converts Proto Any field to Any field.
taro_mochi = mochi_pb2.TaroMochi(
price_float=3.14,
flavor_proto=mochi_pb2.MochiFlavor(flavor="taro"),
calorie=100)
taromochi_any_proto = any_pb2.Any()
taromochi_any_proto.Pack(taro_mochi)
proto_converter = converter.ProtoConverter(
pb_class_from=mochi_pb2.AnyMochiBox, pb_class_to=mochi_pb2.AnyMochiBox)
src_proto = mochi_pb2.AnyMochiBox(
name="TaroMochiBox", mochi=taromochi_any_proto)
dest_proto = proto_converter.convert(src_proto=src_proto)
Repeated Any
field and Map Any
field are also supported.
message AnyMochiBoxes {
string name = 1;
repeated google.protobuf.Any mochi = 2;
}
message TaroMochiBoxes {
string name = 1;
repeated TaroMochi mochi = 2;
}
message MochiGiftPackage {
string name = 1;
map<string, google.protobuf.Any> mochi = 2;
}
message TaroMochiGiftPackage {
string name = 1;
map<string, google.protobuf.Any> mochi = 2;
}
The examples below demonstrate the auto-conversion for repeated fields and Map fields with Any proto.
proto_converter = converter.ProtoConverter(
pb_class_from=mochi_pb2.TaroMochiBoxes,
pb_class_to=mochi_pb2.AnyMochiBoxes)
src_proto = mochi_pb2.TaroMochiBoxes(name="TaroMochiBoxes",
mochi=[taro_mochi, taro_mochi])
dest_proto = proto_converter.convert(src_proto=src_proto)
proto_converter = converter.ProtoConverter(
pb_class_from=mochi_pb2.TaroMochiGiftPackage,
pb_class_to=mochi_pb2.AnyMochiGiftPackage)
src_proto = mochi_pb2.TaroMochiGiftPackage(
name="TaroMochiBoxes",
mochi={"taro_mochi": taro_mochi})
dest_proto = proto_converter.convert(src_proto=src_proto)
We decided not to support Any
field to Proto
field auto conversion to make
it less error-pone, since the Any
field can contain any type and cause runtime
failures. However, it is very easy to add a custom method to handle Any
field.
class MochiConverter(converter.ProtoConverter):
@converter.convert_field(field_names=["mochi"])
def mochi_field_convert_function(self, src_proto, dest_proto):
src_proto.mochi.Unpack(dest_proto.mochi)
...
taro_mochi = mochi_pb2.TaroMochi(
price_float=3.14,
flavor_proto=mochi_pb2.MochiFlavor(flavor="taro"),
calorie=100)
taromochi_any_proto = any_pb2.Any()
taromochi_any_proto.Pack(taro_mochi)
proto_converter = MochiConverter(pb_class_from=mochi_pb2.AnyMochiBox,
pb_class_to=mochi_pb2.TaroMochiBox)
src_proto = mochi_pb2.AnyMochiBox(
name="TaroMochiBox", mochi=_pack_to_any_proto(taro_mochi))
dest_proto = proto_converter.convert(src_proto=src_proto)
Repeated Any
field to repeated Proto
field
class RepeatedMochiConverter(converter.ProtoConverter):
@converter.convert_field(field_names=["mochi"])
def mochi_field_convert_function(self, src_proto, dest_proto):
for field in src_proto.mochi:
proto_object = mochi_pb2.TaroMochi()
field.Unpack(proto_object)
dest_proto.mochi.append(proto_object)
Map Any
field to Map Proto
field
class MapMochiConverter(converter.ProtoConverter):
@converter.convert_field(field_names=["mochi"])
def mochi_field_convert_function(self, src_proto, dest_proto):
for key, field in src_proto.mochi.items():
proto_object = mochi_pb2.TaroMochi()
field.Unpack(proto_object)
dest_proto.mochi[key].CopyFrom(proto_object)
Nested conversion
Nested conversion is supported if the source proto and destination proto contains the same proto type (like the above example), while auto-conversion won't work if the nested protos are of different type.
However, it's very easy to support this case with a custom method. We think it's cleaner to create separate converters as you will see in the below example.
message TaroMochi {
float price_float = 1;
MochiFlavor flavor_proto = 2;
int64 calorie = 3;
}
message CocoMochi {
float price_float = 1;
MochiFlavor flavor_proto = 2;
int64 calorie = 3;
}
message TaroMochiBox {
string name = 1;
TaroMochi mochi = 2;
}
message CocoMochiBox {
string name = 1;
CocoMochi mochi = 2;
}
class NestedMochiBoxConverter(converter.ProtoConverter):
taro_to_coco_converter: converter.ProtoConverter = None
def __init__(self):
super(RecursiveMochiBoxConverter, self).__init__(
pb_class_from=mochi_pb2.TaroMochiBox,
pb_class_to=mochi_pb2.CocoMochiBox
)
self.taro_to_coco_converter = converter.ProtoConverter(
pb_class_from=mochi_pb2.TaroMochi, pb_class_to=mochi_pb2.CocoMochi)
@converter.convert_field(field_names=["mochi"])
def mochi_field_convert_function(self, src_proto, dest_proto):
dest_proto.mochi.CopyFrom(
self.taro_to_coco_converter.convert(src_proto.mochi))
...
proto_converter = NestedMochiBoxConverter()
dest_proto = proto_converter.convert(src_proto)
With the additional ProtoConverter between TaroMochi and CocoMochi, it's very easy to update the conversion once the TaroMochi or CocoMochi proto changes.
For nested array protos, we need to iterate through each element and append the conversion result to the destination proto:
message CocoMochiBoxes {
string name = 1;
repeated CocoMochi mochi = 2;
}
message TaroMochiBoxes {
string name = 1;
repeated TaroMochi mochi = 2;
}
@converter.convert_field(field_names=["mochi"])
def mochi_field_convert_function(self, src_proto, dest_proto):
for mochi in src_proto.mochi:
dest_proto.mochi.append(self.taro_to_coco_converter.convert(mochi))
Contributing
See CONTRIBUTING.md
for details.
License
Apache 2.0; see LICENSE
for details.
Disclaimer
This project is not an official Google project. It is not supported by Google and Google specifically disclaims all warranties as to its quality, merchantability, or fitness for a particular purpose.
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