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Didactopus

Didactopus is a local-first AI-assisted autodidactic mastery platform built around concept graphs, evaluator-driven evidence, adaptive planning, mastery ledgers, curriculum ingestion, and human review of generated draft packs.

This revision

This revision adds an import validation and safety layer to the draft-pack import workflow.

The goal is to make importing generated packs into review workspaces safer, clearer, and easier to trust.

Why this matters

If the draft-pack import step is risky or opaque, it becomes another point where a user may hesitate or stall. That would undercut the broader goal of helping users get over the activation-energy hump of turning online course contents into usable Didactopus learning domains.

This layer reduces that risk by adding:

required-file validation
schema/version summary inspection
overwrite warnings
import preview endpoint
import error reporting
basic pack-health reporting before copy/import

What is included

draft-pack validator
import preview model
overwrite-safety checks
preview and import API endpoints
updated React UI for preview-before-import
sample valid and invalid draft packs
tests for validation and safety behavior

Core workflow

point the UI at a source draft-pack directory
preview validation results
review warnings or blocking errors
choose whether overwrite is allowed
import into workspace
continue directly into review

1.4 KiB Raw Blame History