Migrate to the FabledRulebook CI-Runner contract:
- .forgejo/workflows/ci.yml: all four jobs (typecheck/lint/test/build)
now schedule on the `python-ci` runner label and run inside
container.image: git.fabledsword.com/bvandeusen/ci-python:3.14
(Python 3.14 + Node 24 + ruff + uv + Docker CLI). Dropped the inline
uv install in the test job — uv is now baked into the image.
- Dockerfile: production runtime bumped to python:3.14-slim so test
results stay representative against what we ship.
- ci-requirements.md: new file at repo root declaring image deps and
per-job installs (per FabledRulebook ci-runners.md).
- infra/Dockerfile.runner-base: deleted. The in-repo runner base
(Ubuntu 24.04 + Python 3.12 + Node 22) is superseded by the shared
ci-python image. The runner-host deployment files
(runner-compose.yml + act-runner-config.yml) stay as deployment-shape
documentation; source of truth is the deployed config.
- docs/development.md: CI/CD + Runner sections refreshed.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Background tasks (title generation, tag suggestions, project summaries,
RSS classification) were using qwen3:8b and wiping its KV cache after
every response, preventing prefix cache hits on subsequent user messages.
Adds OLLAMA_BACKGROUND_MODEL (default: qwen2.5:0.5b) config var and
routes all background LLM calls to it, keeping qwen3:8b's KV cache
warm between user messages for consistent sub-second TTFT.
Also adds infinite scroll to KnowledgeView (replaces load-more button)
and bakes spaCy en_core_web_sm into the Docker image to eliminate the
pip install on every startup.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
kokoro and transformers pull full nvidia CUDA wheels by default (~2 GB),
exhausting the runner disk. Pre-installing torch from the CPU wheel index
satisfies the dependency and prevents pip from selecting the CUDA variant.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add `# syntax=docker/dockerfile:1` to enable BuildKit cache mounts
- Replace `--no-cache-dir` pip installs with `--mount=type=cache,target=/root/.cache/pip`
so torch/CUDA wheels are reused across builds instead of re-downloaded every run
- Add `docker system prune -f` step before build to free dangling image/layer space
- Add `cache-from`/`cache-to` pointing to `:cache` tag so unchanged layers
(including the heavy voice-deps layer) are pulled from registry instead of rebuilt
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
npm install -g npm@latest corrupts npm's own module tree inside Alpine,
breaking subsequent installs. Use npm ci instead (faster, deterministic).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Dockerfile: ARG BUILD_VERSION=dev → ENV APP_VERSION baked into image
- ci.yml: BUILD_VERSION passed as build-arg; set to git tag name on v*
tag builds, "dev" on branch builds
- routes/api.py: GET /api/version returns {"version": APP_VERSION}
- SettingsView: fetches /api/version on mount, displays in About section
under General tab
Version source of truth is the git tag (YY.MM.DD.N CalVer).
pyproject.toml / package.json versions are no longer maintained.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- infra/Dockerfile.runner-base: new Ubuntu 24.04 image with Python 3.12
and Node 22 LTS pre-installed, tagged py3.12-node22. Eliminates the
~3-4 min deadsnakes PPA install that ran on every test job.
- infra/runner-compose.yml: update ubuntu-latest label to use
runner-base:py3.12-node22 instead of node:20-bullseye.
- .forgejo/workflows/ci.yml: remove Python 3.12 install steps (now in
base image), add actions/cache for pip keyed on pyproject.toml hash,
bump node-version 20 → 22.
- Dockerfile: bump frontend build stage node:20-alpine → node:22-alpine.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Stop wiping Alembic version tracking on every restart. Now
`alembic upgrade head` runs only pending migrations, as intended.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Rewrite migrations to raw SQL with IF NOT EXISTS/EXCEPTION guards for
full idempotency. Add notes table migration (0001), fix migration chain,
and run alembic upgrade head in Dockerfile CMD on container start.
Update summary.md with Phase 3.5 changes and Alembic instructions.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
bvandeusen
Bryan Van Deusen