Скачать с ютуб Peritext: A CRDT for Collaborative Rich Text Editing в хорошем качестве

Peritext: A CRDT for Collaborative Rich Text Editing

Peritext: A CRDT for Collaborative Rich Text Editing Geoffrey Litt, Sarah Lim, Martin Kleppmann, Peter van Hardenberg CSCW 2022: The 25th ACM Conference On Computer-Supported Cooperative Work And Social Computing Session: Team Collaboration Conflict-Free Replicated Data Types (CRDTs) support decentralized collaborative editing of shared data, enabling peer-to-peer sharing and flexible branching and merging workflows. While there is extensive work on CRDTs for plain text, much less is known about CRDTs for rich text with formatting. No algorithms have been published, and existing open-source implementations do not always preserve user intent. In this paper, we describe a model of intent preservation in rich text editing, developed through a series of concurrent editing scenarios. We then describe Peritext, a CRDT algorithm for rich text that satisfies the criteria of our model. The key idea is to store formatting spans alongside the plaintext character sequence, linked to a stable identifier for the first and last character of each span, and then to derive the final formatted text from these spans in a deterministic way that ensures concurrent operations commute. We have prototyped our algorithm in TypeScript, validated it using randomized property-based testing, and integrated it with an editor UI. We also prove that our algorithm ensures convergence, and demonstrate its causality preservation and intention preservation properties. Web:: https://cscw.acm.org/2022/ Videos for papers at CSCW 2022