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feat(snippets): add notes.data JSONB — the indexed mirror of snippet fields
Milestone #232 step 1 (task #2081). Takes the enabler first rather than the
write-path trigger: reverse lookup, drift checks and the duplicate finder all
need to QUERY structured fields, and building them on body-regex first means
writing them twice.

#227 deferred this bag "unless body-convention ergonomics prove insufficient" —
answering "which snippets live in this file?" by scanning every snippet and
regexing its body is that condition being met.

Migration 0070 adds `notes.data` (nullable JSONB) + a GIN index. The body is
UNCHANGED and still what gets embedded and read by humans; `data` mirrors the
same facts in a shape Postgres can index. Code is deliberately not copied into
it — the body holds it, and duplicating a blob into the column we index around
would be waste.

- compose_data() builds the mirror, omitting empties so the column stays sparse
- snippet_fields() prefers `data`, falling back to parsing the body. Rows written
  before 0070 have no `data` and are never backfilled, so a hand-edited body
  stays authoritative for them with no conversion deadline
- create / update / merge all write body and mirror from the same merged field
  set, so the two can't drift; merge in particular has to grow the mirror with
  the survivor's location set or a merged snippet would be unfindable at the very
  call sites the merge just recorded

Named `data`, not `metadata`, because that collides with SQLAlchemy's declarative
Base.metadata — which is why the pre-0069 model had to map an awkward
`entity_metadata` attribute. Not a revival of the column 0069 dropped: different
name, different purpose, nothing reads the old shape.

Two test fakes needed an explicit `data = None`: snippet_fields prefers `data`
when truthy and an auto-MagicMock attribute is truthy, so every parsed field
would have come back a MagicMock. Checked every fake reaching snippet code this
time rather than waiting for CI (note 2109).

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RLwAaV4DQEmVyn496HnEvt
2026-07-26 18:25:55 -04:00

Fabled Scribe

A self-hosted work system-of-record for software projects, built to be driven by Claude Code. Notes, tasks, issues, projects, milestones, rules, and stored processes — reachable from Claude via a built-in MCP endpoint and a bundled Claude Code plugin, with a clean web UI for humans. No in-app LLM; Claude is the sole assistant.

Features

Notes and tasks with a Markdown editor, sub-tasks, milestones, issues, and kanban project workspaces. Stored processes, an engineering rulebook system, and semantic search with proactive knowledge-injection into Claude's context. A knowledge graph, per-user/group sharing, and a built-in MCP server (/mcp) plus a bundled Claude Code plugin so Claude can record and recall your work directly.

Quick Start

Prerequisites: Docker and Docker Compose. No GPU or local model needed — Claude is the sole assistant, reached over MCP.

Download docker-compose.quickstart.yml from this repo, then:

# Optional but recommended — set a secret key
export SECRET_KEY=your-random-secret-here

docker compose -f docker-compose.quickstart.yml up -d

Open http://localhost:5000. The first user to register becomes admin. To connect Claude, create an API key under Settings → API Keys and install the Claude Code plugin — see API Keys & MCP.

Development: To build from source, see Development.

Documentation

Doc Contents
Architecture Stack, design decisions, data models, key services
Configuration Environment variables, Docker Compose, production setup, security
Features Detailed feature breakdown and keyboard shortcuts
Development Dev workflow, CI/CD, migrations, release process
API Keys & MCP API key management and Fable MCP install guide
SSO / OAuth OIDC setup for Authentik, Keycloak, and other providers
API Reference All REST API endpoints

License

This project is privately maintained.

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