- 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>
- Add source health columns (last_success_at, last_error_at, last_error,
consecutive_failures, review_flag, review_reason) via SCHEMA + migration.
- poll_source maintains them: success resets the failure streak and records the
success time; failure increments it and stores the latest error.
- review_sources() flags active sources that are stale, repeatedly failing,
low-acceptance, duplicate-heavy, or doom-skewed (high cortisol/ragebait) over
a recent window. It is purely advisory: it sets review_flag/review_reason and
never changes the active column (human stays in the loop), clearing the flag
when a source recovers.
- CLI review-sources; cycle runs it as a final step (--no-review to skip);
source-report shows a review line for flagged feeds.
- Tests: healthy/failing/stale/low-acceptance/recovery and never-deactivates.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- New source_candidates staging table (status suggested/quarantined/rejected/
promoted, preview_json snapshot) so untrusted/suggested feeds stay out of the
real ingestion path until reviewed.
- sources.py: save_candidate (re-preview never revives a curator's rejection),
list_candidates, reject_candidate, promote_candidate (copies into sources,
inactive by default — active on approval; never automatic).
- CLI: suggest-source / list-candidates / promote-candidate / reject-candidate.
- API: read-only GET /api/candidates (writes stay CLI-only — no unauthenticated
public write surface yet).
- Fix deprecated ElementTree truth-value test in _parse_rss.
- Tests: candidate lifecycle (save/list/promote/reject, status preservation,
name derivation) — 51 total.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- feeds.preview_feed(): fetch + score a sample WITHOUT persisting; returns
freshness, acceptance rate, cortisol/ragebait/PR averages, and example
accepted/rejected items. With an LLM client it also returns topic/flavor mix
and the model's (accurate) acceptance view.
- CLI 'preview-source URL [--sample] [--classify]'.
- API 'GET /api/source-preview?url=&sample=&classify=' with an http(s)-only
guard (SSRF note left for go-public hardening).
- Site 'Suggest a source' panel with Quick check (heuristic, instant) and Deep
check (model, accurate), rendered DOM-safely.
- Tests: network-free preview_feed tests via monkeypatched fetch (45 total).
- README documents the command, endpoint, and updated roadmap.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Add API test layer (TestClient): bad prefs -> 200, mute affects feed,
avoid-term filters, brief filters down, counts match filtered feed.
- Render article cards via the DOM API (textContent) instead of HTML string
interpolation, and only allow http(s) hrefs — defense-in-depth XSS guard for
when the feed faces untrusted sources publicly.
- Refresh the stale README Next Steps to reflect what's done vs ahead.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- API endpoints (feed, brief, category-counts) accept a 'prefs' JSON query
param, parsed tolerantly into FilterPrefs (bad blobs never break the feed).
- Feed over-fetches then applies word-boundary filters in Python and slices to
the page; brief is filtered down (no refill); counts are computed over the
same filtered set so browse numbers match the feed exactly.
- Pause.active() coerces naive datetimes to UTC; FilterPrefs.from_dict skips
malformed pauses and non-string list entries.
- Static site adds the humane ladder (Not today / Less like this / Always hide)
plus a Calm filters panel managing pauses, mutes, and avoid-terms in
localStorage. Nothing leaves the device.
- Tests now 38 (added forgiving-parse and naive-now cases). README documents it.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Add pytest suite (34 tests) covering scoring thresholds, dedup clustering +
representative selection + time window, brief source/category diversity,
avoid-term phrase matching, and text canonicalization/truncation.
- Rewrite _select_diverse with an explicit, tested contract (best-first, one
per source, backfill, then inject a second category by evicting the
lowest-ranked pick).
- classify_articles now returns attempted/succeeded/skipped (ClassifyReport) so
silent model failures are visible in both the cycle and classify output.
- Fix clean_text truncation to stay within max_len (ellipsis no longer
overshoots).
- New filters.py: canonical FilterPrefs shape (include/mute topics+flavors,
avoid_terms, pauses) and pure word/phrase-boundary matching engine seeding
Calm Filters. Not yet wired into the API.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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