How-to Guides
Recipes for pip install open-fdd, releases, and embedding RuleRunner on pandas.
Full platform (data model, APIs, compose, dashboards): open-fdd-afdd-stack — docs/
Engine
- PyPI releases (open-fdd) — tags, trusted publishing,
twine check. - The optional openfdd-engine package —
openfdd_enginevsopen_fdd.engine. - Engine-only deployment and external IoT pipelines —
RuleRunneron DataFrames. - Desktop app (under construction) — FastAPI gateway, MCP RAG (REST 8090),
start-local, restart MCP after index/bootstrap changes, local ingest, Feather storage, BRICK sync, batched rule runs. - Agent & operator playbook (bridge + MCP) — drivers, cleaning, BRICK modeling, FDD tuning, execution notes for assistants (
search_docs). - Toolshed (agent file layout) —
toolshed/scratch/vstoolshed/published/; where Codex writes new code. - Verification — pytest and small smoke checks.
- Cloning and porting — portable rules and envs.
- Operations (engine) — CI and scheduling notes.
- Danger zone — expression safety and sharp edges.
- Quick reference — imports and common commands.
Published site: bbartling.github.io/open-fdd