thejayman77
5601022cf7
- New frontend/ SvelteKit static SPA (Svelte 5), served by FastAPI from frontend/build (falls back to the legacy page if unbuilt). - Calm design system: cream/sage palette, serif headlines, generous space, no urgency colors, gentle motion (respects prefers-reduced-motion). - Home screen: mood-mode nav (Today/Wonder/People Helping/Solutions/Light Only/Grounded), the daily brief as a hero + remaining four, browsable mood lanes, an explicit calm end-state, inline Not today / Less like this / Hide affordances, and device-local Calm Filters mirroring goodnews/filters.py. - Backend: moods.py + GET /api/moods (single source of truth for the modes); FilterPrefs gains max_cortisol/max_ragebait ceilings (for Light Only). - Push categorical filters (include/mute topics+flavors, ceilings) into SQL in queries.feed so low-ranked-but-matching items (e.g. discovery for Wonder) are not truncated by ranking; only avoid-terms stay a Python pass. - PWA manifest + icon (installable; offline deferred per plan). - Multi-stage Dockerfile builds the site then serves it from the API. - Tests: queries.feed categorical filters (63 total). README updated. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
"""Mood modes — the humane front door over the topic/flavor taxonomy.
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A reader thinks "I want wonder," not "animals/discovery". Each mood resolves to
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a filter preset (include_topics / include_flavors / a cortisol ceiling) that the
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feed already understands via FilterPrefs. Topic/flavor remain available as the
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secondary "browse more precisely" controls; moods don't replace them.
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Single source of truth so the website and any future companion app agree.
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"""
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from __future__ import annotations
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# "today" is special: it has no filter — it's the daily brief view.
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MOODS: list[dict] = [
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{
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"key": "today",
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"label": "Today",
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"description": "The day's five good things.",
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"filter": {},
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},
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{
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"key": "wonder",
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"label": "Wonder",
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"description": "Awe and discovery.",
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"filter": {"include_topics": ["science", "animals", "culture"], "include_flavors": ["discovery"]},
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},
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{
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"key": "people-helping",
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"label": "People Helping",
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"description": "Community, kindness, and repair.",
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"filter": {"include_topics": ["community"], "include_flavors": ["solution", "feelgood"]},
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},
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{
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"key": "solutions",
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"label": "Solutions",
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"description": "Problems being solved.",
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"filter": {
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"include_topics": ["environment", "community", "health"],
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"include_flavors": ["solution", "breakthrough"],
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},
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},
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{
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"key": "light",
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"label": "Light Only",
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"description": "Just the gentle stuff.",
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"filter": {"include_flavors": ["feelgood", "discovery"], "max_cortisol": 2},
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},
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{
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"key": "grounded",
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"label": "Grounded",
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"description": "Useful, calm perspective.",
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"filter": {"include_flavors": ["perspective", "solution"]},
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},
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]
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_BY_KEY = {m["key"]: m for m in MOODS}
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def mood_filter(key: str) -> dict:
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"""Return the filter preset for a mood key (empty dict if unknown/today)."""
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mood = _BY_KEY.get(key)
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return dict(mood["filter"]) if mood else {}
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