- 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>
- cycle now prints per-article classify progress (flushed) so the long step is
clearly alive rather than appearing hung.
- An exclusive flock guards the cycle so a manual run and the systemd timer (or
two timer ticks) cannot overlap and contend on the database and model.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- LocalModelClient.embed() calls the OpenAI-compatible /embeddings endpoint
(local nomic model); base_url shared with chat, model via GOODNEWS_EMBED_MODEL.
- New article_embeddings table and articles.duplicate_of column (+ migration).
- dedup module: embeds missing articles, clusters near-identical stories within
a date window by cosine similarity (pure-stdlib, vectors normalised once), and
marks all but the highest-ranked member of each cluster as a duplicate.
- 'dedup' CLI command; cycle now runs poll -> classify -> dedup -> brief.
- Feed and brief queries hide duplicates, so a story carried by multiple
outlets shows once.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Briefs now fill from a rolling window (prefer today, backfill up to
window_days) and exclude anything featured in the last 7 days of briefs, so
slow days still produce five items without stories lingering day to day.
- New 'check-feeds' command fetches and parses every feed to catch dead ones.
- Added 16 validated sources (science, environment, animals, culture),
expanding coverage from 12 to 28 feeds to reduce staleness.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- deploy/goodnews.service: oneshot unit running 'goodnews cycle' with a
generous TimeoutStartSec so long classify runs are not killed.
- deploy/goodnews.timer: every 15 min, Persistent=true to catch missed runs.
- deploy/goodnews.env.example: LLM endpoint + DB path for the scheduled run.
- README: scheduling/install docs.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- poll_due_sources(): polls only sources whose last successful poll is older
than their poll_interval_minutes (or never polled), finally giving that
config field meaning.
- classify gains only_unclassified to spend the LLM solely on new (heuristic)
articles, so a frequent scheduled run stays cheap.
- 'cycle' command runs poll-due -> classify-new -> rebuild-today's-brief, with
each step non-fatal so a down model endpoint or empty day never aborts it.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- queries.py: shared read-only query helpers (feed, brief, category counts)
returning plain dicts, used by the API and available to the CLI.
- api.py: FastAPI service with Pydantic response models (the companion-app
contract), CORS, and endpoints for categories, feed, brief, and health;
mounts a static site at /.
- static/index.html: minimal dependency-free site rendering the daily five
and topic/flavor category browsing.
- 'goodnews serve' command launches uvicorn (lazy import; core CLI stays
pure-stdlib). Web deps live behind the optional [web] extra.
- Dockerfile + .dockerignore + build-system metadata so the service installs
and deploys cleanly, with the DB mounted as a shared volume.
- README: web/API and deployment docs.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- New taxonomy module: single source of truth for 6 topics x 5 flavors,
shared by the LLM response schema (enum-constrained) and validation.
- Classifier now assigns one topic + one flavor per article; json_schema
enums force valid values, with coercion as a safety net.
- article_scores gains topic/flavor columns via an idempotent migration.
- New 'list-category' command to browse by topic and/or flavor, ranked by
composite score.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Use json_schema structured output (newer LM Studio rejects json_object),
escalating through json_schema -> json_object -> text and pinning the
first format the server accepts to avoid wasted round-trips.
- Make per-article failures non-fatal and commit incrementally so a single
timeout no longer discards the whole batch.
- Raise default timeout to 180s (configurable via GOODNEWS_LLM_TIMEOUT) for
larger local reasoning models.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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