Improve schema documentation #741
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…c team This document clarifies the TInput/TOutput architecture and explains how PowerSync can support arbitrary type transformations (like Date objects) by handling serialization in their integration layer rather than constraining TOutput to match SQLite types. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
This proposal addresses the lack of documentation around TInput/TOutput schema types and transformations. It includes: - Complete content outline for new schemas.md guide - Data flow diagrams and examples - Guidance for both app developers and integration authors - Common patterns for Date handling, defaults, and type conversions - Updates to existing docs (overview, mutations, collection-options-creator) The proposal directly addresses confusion like what the PowerSync team experienced regarding how to handle type transformations and serialization in integrations. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
After investigating all existing docs (overview, mutations, error-handling, live-queries, collection-options-creator) and examples, created a refined plan that addresses: KEY FINDING: Two distinct type conversion mechanisms 1. Integration-level parsing (storage format ↔ in-memory format) 2. Schema validation/transformation (TInput → TOutput for mutations) The plan includes: - Analysis of what's currently documented (and gaps) - Comprehensive schemas.md guide structure (11 sections) - Specific updates to 5 existing docs with exact content - Separate guidance for app developers vs integration authors - Clear distinction between integration parsing and schema validation - Complete working examples and best practices - Implementation order and success criteria This directly addresses the PowerSync confusion about TInput/TOutput and provides clear guidance for both audiences. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
New guide (docs/guides/schemas.md) covering: - Introduction with validation-first example - Core concepts: TInput vs TOutput with data flow diagram - Validation patterns (types, strings, numbers, enums, arrays, custom) - Transformation patterns (Date conversion, JSON, computed fields) - Default values (literals, functions, complex) - Handling updates with union types pattern - Error handling with SchemaValidationError - Best practices (with performance callout) - Two complete working examples (Todo app, E-commerce) - Brief integration authors section linking to collection-options-creator - Related topics links This addresses the documentation gap identified in the PowerSync question about TInput/TOutput and provides clear guidance for both app developers and integration authors on schema validation and type transformations. ~850 lines, 12 sections, 30+ code examples 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
Address review feedback to make the guide more focused and practical: - Add clarification that schemas only validate client changes, not server data - Remove "Handling Sync Validation Errors" section - Fix QueryFn example to show manual parsing is required for API responses - Rename "Handling Updates" to "Handling Timestamps" with better focus on common patterns - Remove "Safe Parsing (Zod)" section - Remove "When to Use Schemas" from Best Practices - Remove "Schema Organization" from Best Practices - Replace lengthy "For Integration Authors" section with brief link to collection-options-creator.md 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
- Explicitly mention schemas catch invalid data from optimistic mutations - Show reusing schema with .parse() in queryFn to transform API responses - Remove The Data Flow diagram section (had errors and wasn't useful) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
Updates across documentation to explain schemas and type transformations: **overview.md:** - Expand collection schemas section with comprehensive example - Add list of what schemas do (validation, transformations, defaults, type safety) - Link to new schemas guide **mutations.md:** - Add "Schema Validation in Mutation Handlers" section - Explain that handlers receive TOutput (transformed data) - Show serialization pattern for backends **error-handling.md:** - Add "When schema validation occurs" section - Clarify schemas only validate client mutations, not sync data - Link to schemas guide **collection-options-creator.md:** - Add "Schemas and Type Transformations" section - Explain three approaches: parse/serialize helpers, user handles, automatic serialization - Show examples from TrailBase and Query Collection - Document design principles for integration authors 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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This was quite thin before.