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https://issues.apache.org/jira/browse/DUBBO-144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17939464#comment-17939464
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Carlos Guerrero commented on DUBBO-144:
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Hi Kevin,
I'm very interested in this project, so it immediately caught my attention! I’m
excited to explore it further and learn more. I’ve taken Distributed Systems
course at Arizona State University and really enjoyed it.
Before I draft my proposal, I just wanted to confirm that this is the correct
repository: [https://github.com/apache/dubbo-python], right? I’d like to take
some time to review the codebase thoroughly to ensure I fully understand the
project before proposing a solution.
I plan to submit my proposal within the next few days. I’m really looking
forward to collaborating with you and the team and learning more throughout
this process.
Best regards,
Carlos Guerrero
> GSoC 2025 - Enhancing Dubbo Python Serialization
> ------------------------------------------------
>
> Key: DUBBO-144
> URL: https://issues.apache.org/jira/browse/DUBBO-144
> Project: Apache Dubbo
> Issue Type: Task
> Reporter: Albumen Kevin
> Priority: Major
> Labels: gsoc2025
> Original Estimate: 350h
> Remaining Estimate: 350h
>
> h2. Background and Goal
> Currently, Dubbo Python exposes a serialization function interface that
> requires users to implement their own serialization methods. For commonly
> used serialization formats such as JSON and Protobuf, users must manually
> configure them each time. To streamline this process, we aim to build a
> built-in serialization layer that provides support for these common
> serialization formats by default.
> h1. Goal
> We recommend using [Pydantic|https://docs.pydantic.dev/latest/] to achieve
> this. Therefore, we expect the implementation to:
> 1. an internal serialization layer based on Pydantic, with support for at
> least JSON and Protobuf.
> 2. Leverage Pydantic's additional features, including data validation and
> other useful functionalities.
> h2. Relevant Skills
> 1. Familiar with Python
> 2. Familiar with RPC
> h2. Potential Mentors
> # Albumen Kevin, Apache Dubbo PMC, [email protected]
> # [email protected]
> h4.
> h4.
>
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