The Problem

The list_memories endpoint (GET /api/v1/memories/) was returning 500 Internal Server Error when searching for memories.

What was broken:

• Endpoint returned raw SQLAlchemy ORM objects instead of Pydantic MemoryResponse schema
• Pydantic validation failed because ORM objects have nested relationships (app, categories) that need to be transformed
• Error: ValidationError: Field required [type=missing, input_value=<Memory object>]

How It's Done Elsewhere

Looking at the same file, the filter_memories endpoint (lines 412-503) already handles this correctly:

• Uses joinedload(Memory.app, Memory.categories) for eager loading
• Uses transformer parameter in sqlalchemy_paginate to convert ORM → Pydantic schema
• Builds MemoryResponse objects manually with proper field extraction

The Fix

Applied the same pattern to list_memories:

1. Added eager loading with joinedload(Memory.app, Memory.categories)
2. Added .distinct(Memory.id) to prevent duplicates from joins
3. Added transformer lambda to convert ORM objects to MemoryResponse schema
4. Integrated permission checking within the transformer

Type of change

• Bug fix (non-breaking change which fixes an issue)

How Has This Been Tested?

• Test Script - verified search now returns 200 OK with proper JSON response
• Tested with both infer=True and infer=False memory additions
• Search correctly returns memories with proper schema structure

Checklist:

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• My changes generate no new warnings
• Follows existing pattern from filter_memories endpoint