lightprotobuf 1.0b5

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Description:

lightprotobuf 1.0b5

lightprotobuf
Introduction
lightprotobuf is a full Python 3 implementation of the Protocol Buffers as described by Google.


Documentation
The main class to use is lightprotobuf.Message
It must be the base class of every messages you define. The rest follows the .proto design:
This message:
enum FooEnum {
FIELD = 5;
FIELD2 = 6;
}

message FooMsg {
required int32 foo_field = 1;
optional FooEnum foo_enum = 2;
enum BarEnum {
FIELD = 5;
BAR = 6;
}
required BarEnum bar_enum = 3;
repeated string foo_rep = 4;
repeated int32 foo_pak = 5 [packed=true];
}

message BarMsg {
required FooMsg.BarEnum bar_enum = 1;
}
Is translated in python to:
from enum import IntEnum
from lightprotobuf import *
class FooEnum(IntEnum):
FIELD = 5
FIELD2 = 6

class FooMsg(Message):
class BarEnum(IntEnum):
FIELD = 5
BAR = 6
foo_field = Field(1, Int32, Field.REQUIRED, **{})
bar_enum = Field(3, BarEnum, Field.REQUIRED, **{})
foo_enum = Field(2, FooEnum, Field.OPTIONAL, **{})

class BarMsg(Message):
bar_enum = Field(1, FooMsg.BarEnum, Field.REQUIRED, **{})
As you can see, the fields follow this template
<name> = Field(<tag number>, <type>, Field.<REQUIRED|OPTIONEL|REPEATED>, **{<options as a dict (optional)>}
Enums are python’s enum.IntEnum
Nested types are real python nested types referenced just like in .proto

API
The fields are actually transformed as attributes via descriptors. So you can access fields easily:
m = FooMsg()
m.foo_field = 5
m.foo_field # returns 5
m.foo_enum = 5 # Error because it expects a FooEnum object
m.foo_enum = FooEnum.FIELD # OK
m.bar_enum = FooMsg.BarEnum.BAR # OK
Repeated fields atc like a list:
m.foo_rep = ["a string", "another"] # OK
li = m.foo_rep # Get a reference to the list
li.append("a string") # OK, append the string
li.append(b'a bytes') # TypeError because there is a check to avoid mistakes
Note : packed fields are able to decode either data packed either multiple occurence of the field e.g. the test case:
class Repeated(Message):
r = Field(1, Int32, Field.REPEATED, packed="True")
nb = [1,150,1,2,3,150]
b = io.BytesIO(b'\x0C\x08\x01\x08\x96\x01\x0A\x05\x01\x02\x03\x96\x01')
m = Repeated.from_stream(b)
self.assertEqual(list(m.r), nb)
# 0C (12) bytes following
# 08 = 1 << 3 | 0
# varints etc.
# 0A = 1 << 3 | 2
# 05 bytes following
# concatened varints etc.
To encode a message, lightprotobuf uses stream objects : each DataType has a to_stream and from_stream class method. Just to call it from a message to encode/decode a message:
import io
s = io.BytesIO()
Message.to_stream(s, m)
s.getvalue() # b'\x06\x08\x05\x10\x05\x18\x06'

m = FooMsg()
s = io.BytesIO(b'\x06\x08\x05\x10\x05\x18\x06')
m = Message.from_stream(s)
_Note_ : if required field is missing, it raises a FieldNotOptional exception



Release Notes

1.0.b3

WARNING : module moved at top-level. Use import lightprotobuf rather than from lightprotobuf import lightprotobuf
Add support for repeated fields, packed and not packed



1.0.b2

Remove DESCRIPTION.rst because duplicate of README.rst

License:

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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