Files
news/README.md
T
connor 23966a2d63 Phase 3: two-axis scoring and routing
Scoring (news/score.py): every profile block is embedded and compared by
z-score WITHIN block, then weighted. Veto fires on absolute similarity OR a
margin over the interest signal; demotes apply a penalty instead of excluding,
because those categories sit adjacent to real interests.

Importance is deliberately NOT corroboration count -- the old system's error,
which measured the subscription list rather than the news. It combines block
similarity, corroboration, burst velocity, editorial prominence and aggregator
score, all weighted from config.

Routing (news/route.py): two lanes with separate budgets. Interest never
overrides quiet hours; importance may, within a hard nightly cap. Vetoes are
absolute on BOTH lanes -- the v0.2 bypass lane never consulted relevance, so a
blocklisted item could still fire at priority 5, and a test now asserts it
cannot. Budgets are spent strongest-first rather than first-come.

Measured on 1,318 real clusters: 2.5 notifications/day and a 14-item digest,
inside the 2-5/day target.

Three defects the real data exposed, none of which unit tests would have caught:

- velocity was computed as origins/hours with a 0.5h floor, giving every
  SINGLE-source cluster a spurious velocity of 2.0. Growth rate is undefined
  for a cluster that has not grown; it is now zero below two origins.
- deferred items (quiet hours, budget exhausted, immature) settled straight
  into the digest and bypassed its cap, producing 198 items/day. Everything
  that misses an alert lane now competes for one ranked, capped digest.
- feeds return large archives on first fetch -- 88 Strong Towns items going back
  five months, and a BBC entry titled "BBC News app" dated 2025. Those belong in
  the scoring population but must never notify, so routing now has a recency
  requirement.

Reading the output also found two profile gaps: recurring columns and link
round-ups ("Catching Our Eye News Roundup", "Astronomy Picture of the Day")
scored as top-ranked interest items. They are on-topic but publish on a
schedule, so they are demoted rather than vetoed and still reach the digest.
2026-09-08 16:09:26 -04:00

4.2 KiB
Raw Blame History

news

A personal news aggregator: many sources in, two to five well-chosen push notifications and one readable daily digest out.

This is a ground-up rewrite of news_triage, which is still running. The rewrite exists because the old system had no representation of what its user actually likes — its whole preference model was three keywords fed to BM25 plus a two-term substring blocklist, and everything else was ranking machinery with nothing meaningful to rank.

The core idea

Taste is a set of vectors, not a bag of keywords.

Every interest, veto and importance category in profile/profile.toml is written as prose and embedded with a small CPU model (bge-small-en-v1.5, ~130 MB, ONNX, no torch, no GPU — so it never contends with the llama-swap stack). An item's score is the max cosine similarity across a block's probes, never the mean: averaging "Middle East geopolitics" with "grid-scale energy storage" gives a vector near neither.

This is what lets a topic be expressed as a region rather than a string. The old system could not represent "sports" as a concept, only as the literal characters s-p-o-r-t-s, which is why 18 of its 32 feedback clicks were its user hand-rejecting baseball recaps that blocklist = ["sports"] never matched.

A generative LLM is used only for prose — the daily digest write-up and cluster headlines — at roughly 1–30 calls/day through LiteLLM, never for per-item scoring.

Two routing lanes

Notifications are decided on two independent axes, because "something I might like" and "something I need to know about" are different questions:

  • interest — high similarity to the profile's interest vectors.
  • importance — burst velocity, independent-source-bucket count, editorial prominence, and aggregator-native scores. Deliberately not raw corroboration count, which just measures how many wire-reprinting outlets you subscribed to.

Vetoes are absolute on both lanes. In the old system the bypass lane ignored relevance entirely, so a blocklisted item could still fire at priority 5.

Layout

news/        the pipeline: sources, store, embed, cluster, score, route, deliver
profile/     all configuration (see below)
tests/
deploy/

Configuration

Nothing about the reader is compiled in. news/*.py contains no interest, no place name, no feed URL and no personal identifier; all of it is data in three TOML files under profile/ (override the directory with NEWS_CONFIG_DIR):

file what it is who edits it
profile.toml who you are: interests, vetoes, demotes, importance, delivery you, often
sources.toml what to read, with independence buckets and trust weights you, occasionally
config.toml machinery: HTTP, embedding model, clustering and scoring constants rarely

To use this as someone else: replace profile.toml and sources.toml, and change user_agent in config.toml to your own contact. That is the whole job.

tests/test_config.py exists to keep this true — it builds a configuration for a different, invented reader and asserts that no part of the author's identity or preferences reaches the running code.

Two constants deserve a warning. [clustering].threshold (0.82) and [scoring].veto_absolute (0.60) were calibrated against a specific 3,885-item corpus with a specific embedding model. Changing [embedding].model invalidates both, because a different model puts cosine similarity on a different scale. Re-run the calibration in profile/CALIBRATION.md before trusting them.

Commands

news poll        one fetch -> embed -> cluster cycle
news sources     sources and item counts
news clusters    inspect clusters and their corroboration
news score       score clusters on both axes
news simulate    what would these thresholds actually have sent?

simulate is the tuning surface. The old system's replay harness hardcoded its parameters and so could never sweep the thresholds it existed to tune.

Status

Ingest, embedding, clustering, two-axis scoring and routing are built and running against live feeds. Delivery (ntfy, the digest page) and the web UI are not yet written.