Metadata-Version: 2.1 Name: uplink-protobuf Version: 0.1.0 Summary: Protocol Buffers (Protobuf) support for Uplink. Home-page: https://github.com/prkumar/uplink-protobuf Author: P. Raj Kumar Author-email: raj.pritvi.kumar@gmail.com License: MIT Keywords: http api rest client retrofit protobuf protocol buffers Platform: UNKNOWN Classifier: Development Status :: 4 - Beta Classifier: Intended Audience :: Developers Classifier: License :: OSI Approved :: MIT License Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 2 Classifier: Programming Language :: Python :: 2.7 Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.3 Classifier: Programming Language :: Python :: 3.4 Classifier: Programming Language :: Python :: 3.5 Classifier: Programming Language :: Python :: 3.6 Classifier: Programming Language :: Python :: Implementation :: CPython Classifier: Programming Language :: Python :: Implementation :: PyPy Description-Content-Type: text/markdown Provides-Extra: tests Requires-Dist: uplink (>=0.6.0) Requires-Dist: protobuf Provides-Extra: tests Requires-Dist: pytest; extra == 'tests' Requires-Dist: pytest-mock; extra == 'tests' Requires-Dist: pytest-cov; extra == 'tests' # Uplink + Protocol Buffers [![Build Status](https://travis-ci.org/prkumar/uplink-protobuf.svg?branch=master)](https://travis-ci.org/prkumar/uplink-protobuf) [![codecov](https://codecov.io/gh/prkumar/uplink-protobuf/branch/master/graph/badge.svg)](https://codecov.io/gh/prkumar/uplink-protobuf) [![Maintainability](https://api.codeclimate.com/v1/badges/65d2d66958c6e20a3bb0/maintainability)](https://codeclimate.com/github/prkumar/uplink-protobuf/maintainability) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black) `uplink-protobuf` makes it easy to send and receive protobuf messages over HTTP. This library is an [Uplink](https://github.com/prkumar/uplink) plugin. ## Table of Contents - **[Installation](#installation)** - **[Basic Usage](#basic-usage)** * **[Receiving Protobuf Messages](#receiving-protobuf-messages)** * **[Sending Protobuf Messages](#sending-protobuf-messages)** - **[Communicating with a JSON API](#communicating-with-a-json-api)** * **[Converting JSON Responses into Protobuf Messages](#converting-json-responses-into-protobuf-messages)** * **[Converting Protobuf Messages into JSON Requests](#converting-protobuf-messages-into-json-requests)** * **[JSON Options](#json-options)** - **[FAQs](#faqs)** ## Installation ``` $ pip install uplink-protobuf ``` ## Basic Usage ### Receiving Protobuf Messages For any `Consumer` method that is expecting a protobuf encoded response, simply set the appropriate protobuf message type as the method's [return value annotation](https://www.python.org/dev/peps/pep-3107/#return-values): ```python from uplink import Consumer, get # Import Python code generated by Google's protobuf compiler: from addressbook_pb2.py import Person class AddressBookClient(Consumer): @get("/persons/{person_id}") def get_person(self, person_id) -> Person: pass ``` Then when invoked, the annotated method will appropriately decode the response into the specified message type: ```python >>> addressbook_client = AddressBookClient(base_url=BASE_URL) >>> addressbook_client.get_person(1234) name: "Omar Little" id: 1234 email: "omar.little@example.com" phones { number: "555-4321" type: HOME } ``` ### Sending Protobuf Messages For a `Consumer` method that needs to send a protobuf encoded request, simply annotate the appropriate method argument with [`uplink.Body`](https://uplink.readthedocs.io/en/stable/quickstart.html#request-body): ```python from uplink import Consumer, post, Body # Import Python code generated by Google's protobuf compiler: from addressbook_pb2.py import Person class AddressBookClient(Consumer): @post("/persons") def create_person(self, person: Body(type=Person)): pass ``` Then when the method is invoked, the value of the annotated argument is automatically encoded: ```python # Register new person: person = Person() person.name = "Stringer Bell" person.id = 5678 person.email = "stringer.bell@example.com" # Send person to API: addressbook_client = AddressBookClient(base_url=BASE_URL) addressbook_client.create_person(person) ``` ## Communicating with a JSON API This library also supports converting JSON responses and requests to and from protobuf messages. ### Converting JSON Responses into Protobuf Messages `uplink-protobuf` can automatically convert JSON responses into protobuf messages if the `Consumer` method is annotated with `returns.from_json`: ```python from uplink import Consumer, get, returns # Import Python code generated by Google's protobuf compiler: from addressbook_pb2.py import Person class AddressBookClient(Consumer): @returns.from_json @get("/persons/{person_id}") def get_person(self, person_id) -> Person: pass ``` ### Converting Protobuf Messages into JSON Requests `uplink-protobuf` can automatically convert a protobuf message into JSON request body if the `Consumer` method is annotated with `uplink.json`: ```python from uplink import Consumer, post, Body, json # Import Python code generated by Google's protobuf compiler: from addressbook_pb2.py import Person class AddressBookClient(Consumer): @json @post("/persons") def create_person(self, person: Body(type=Person)): pass ``` ### JSON Options There are also a few decorators we provide that allows you to control the JSON conversion. These decorators are available through the `uplink_protobuf.json_options` submodule. #### Options for Sending JSON Requests Here are options that can be used with `@json`, to control the conversion of protobuf messages to JSON objects: - `@json_options.include_default_value_fields`: This decorator indicates that the JSON output should include fields with their default values. By default, default values are omitted if the field is not set. - `@json_options.preserve_proto_field_names`: This decorator indicates that the JSON output should use the proto field names as the JSON names. By default, the JSON printer converts each proto field name to lowerCamelCase and uses that as the JSON name. - `@json_options.use_integers_for_enums`: This decorator indicates that the JSON output should use the numerical value of a proto enum value, instead of the name of the enum value. By default, the name of an enum value is used in the JSON output. #### Options for Parsing JSON Responses Next, Here are options that can be used with `@returns.json`, to control the conversion of JSON responses to protobuf messages: - `@json_options.ignore_unknown_fields`: This decorator indicates that the JSON parser should ignore unknown fields in parsing. By default, the JSON parser raises an error if it encounters an unknown field. Finally, here's an example of a `Consumer` that uses these options: ```python from uplink import Consumer, post, Body from uplink_protobuf import json_options # Import Python code generated by Google's protobuf compiler: from addressbook_pb2.py import Person class AddressBookClient(Consumer): @returns.from_json @json_options.ignore_unknown_fields @get("/persons/{person_id}") def get_person(self, person_id) -> Person: pass @json @json_options.include_default_value_fields @post("/persons") def create_person(self, person: Body(type=Person)): pass ``` ## FAQs - **What is Protocol Buffers?** Checkout Google's official Protocol Buffers [Developer Guide](https://developers.google.com/protocol-buffers/docs/overview). - **How do I install Google's protobuf compiler, `protoc`?** Checkout [this guide](http://google.github.io/proto-lens/installing-protoc.html) for installation instructions with Mac and Linux. - **How do compile my `.proto` file using `protoc`?** Refer to [this section](https://developers.google.com/protocol-buffers/docs/reference/python-generated#invocation) in the offical Protocol Buffers Developer Guide. - **What is Uplink?** It's a "Declarative HTTP Client". Checkout the library's [GitHub repo](https://github.com/prkumar/uplink) for more.