2 Commits

Author	SHA1	Message	Date
bvandeusen	7947134e22	Fix tag handling for multi-word tags ... Tags with spaces (e.g. #science fiction) were breaking extraction because TAG_RE only matched word characters — it would stop at the space and extract #science instead of #science-fiction. - TAG_RE (backend + frontend): add hyphens to character class so #science-fiction is recognized as a single tag: [\w][\w-]* per segment - System prompt: instruct LLM to use hyphens in multi-word tags, never spaces - tag_suggestions.py: update prompt example + sanitize output by replacing spaces with hyphens as a safety net regardless of LLM output - append-tag route: sanitize incoming tag (spaces → hyphens) before appending Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-02-26 06:05:58 -05:00
bvandeusen	22a3a3c1d1	Initial commit: note-taking/task-tracking app with LLM integration scaffold ... Vue 3 + TypeScript frontend with Pinia stores, markdown rendering (marked + DOMPurify), wikilink/tag linkification, and autocomplete. Quart async backend with SQLAlchemy 2.0, PostgreSQL ARRAY columns, task-note companion linking, backlinks, and note-to-task conversion. Docker Compose setup with PostgreSQL 16 and Ollama. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-09 23:35:44 -05:00