feat(linkedin-studio): RE-R1 — item-schema (B1) + triage-scorer (B2) as tested code behind CLI seam [skip-docs]
Lift the research engine's deterministic core out of agents/trend-spotter.md prose into pure, tested TypeScript under scripts/trends/, behind a CLI seam the agent calls. - B1 src/item.ts: TrendItem ingress envelope + normalizeItem/normalizeItems (required-field validation, topic normalize+dedupe via store's normalizeField, optional publishedAt ISO-validate). No id (store derives it); no store bridge (capturedAt injection is R2). - B2 src/score.ts: per-mode weight consts mirroring the SSOT (references/trend-scoring-modes.md), composite (weighted sum, [1,10] guard), band (5-band map + exact SSOT action strings), triage (keep>=threshold, rank desc, annotate composite+band). Owns ONLY the arithmetic; the five judgment scores stay model-side. - CLI normalize/score: JSON payload on STDIN, JSON to stdout (the existing --json output toggle is untouched); exit 2 on bad invocation, 0 otherwise. - Wire trend-spotter.md to name 'src/cli.ts score' as the deterministic-step owner (prose pointer; the agent still supplies the five scores). Domain-general. - Gate: TRENDS_TESTS_FLOOR 24->62; new unconditional Section 16g (score.ts both-mode weight-sets + trend-spotter scorer-pointer + non-vacuity self-test); ASSERT_BASELINE_FLOOR 84->87. TDD: logic-RED proven (33/34 item+score fail on assertions, not module-not-found), then GREEN (trends suite 62/62); CLI RED 2/4 -> GREEN 4/4. Full gate 102/0/0. No store-schema change (SCHEMA_VERSION stays 1). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01VmHCQjJHUyWwxGAVVjNLgp
This commit is contained in:
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8 changed files with 793 additions and 10 deletions
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@ -131,10 +131,13 @@ query bank: target a source or topic from the list (`"[Tier-1 source] latest"`,
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invoked from `/linkedin:newsletter`) or asks for it explicitly. Depth potential enters at 25 %
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and timing drops to 10 % — a chronicle rewards substance and a durable angle over speed.
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Score each candidate's five dimensions 1–10 per the mode's table, take the weighted composite
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(both modes stay on the same 0–10 scale), and rank highest-first. The composite→action bands
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(Immediate / High / Medium / Low / Skip) live in that same reference — use them; do not restate
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the thresholds here.
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Score each candidate's five dimensions 1–10 per the mode's table — that qualitative judgment is
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yours. The deterministic step that follows is NOT: pipe the scored candidates (JSON on stdin) to the
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scorer CLI `${CLAUDE_PLUGIN_ROOT}/scripts/trends/src/cli.ts score` (`--mode kortform|long-form
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[--threshold N]`), the single owner of the weighted composite, the composite→action bands
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(Immediate / High / Medium / Low / Skip), and the keep/drop threshold. It returns the kept candidates
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ranked highest-first, each annotated with its composite + band. Do not recompute the composite or
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restate the band thresholds here — supply the five judgment scores and let the scorer rank and triage.
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## Trend Opportunity Assessment
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@ -38,7 +38,10 @@
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# inferences', with a non-vacuity self-test) in Section 16e; the brain reconcile-wiring
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# guard (SB-S3e: scripts/brain/src/cli.ts dispatches `reconcile` AND calls the core
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# reconcileRecentPosts by literal name, with a non-vacuity self-test) in Section 16f;
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# the assertion-count anti-erosion floor (SC6) in Section 18. All are live below (Sections 8–18).
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# the trends-scorer wiring guard (RE-R1: scripts/trends/src/score.ts encodes both mode
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# weight-sets AND agents/trend-spotter.md references the scorer CLI 'src/cli.ts score',
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# with a non-vacuity self-test) in Section 16g; the assertion-count anti-erosion floor
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# (SC6) in Section 18. All are live below (Sections 8–18).
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#
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# Usage: bash scripts/test-runner.sh
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# bash 3.2-safe: plain arrays only, no `declare -A`, no `mapfile`/`readarray`.
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@ -689,7 +692,7 @@ if [ -x "$TR_DIR/node_modules/.bin/tsx" ]; then
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TR_OUT=$( set +e; (cd "$TR_DIR" && npm test) 2>&1; echo "TR_EXIT:$?" )
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TR_EXIT=$(echo "$TR_OUT" | grep -oE 'TR_EXIT:[0-9]+' | grep -oE '[0-9]+' | head -1)
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TR_TESTS=$(echo "$TR_OUT" | grep -oE 'tests [0-9]+' | grep -oE '[0-9]+' | tail -1)
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TRENDS_TESTS_FLOOR=24 # B-S3: +3 newestCaptureDate tests (staleness signal)
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TRENDS_TESTS_FLOOR=62 # store 24 + RE-R1: item 18 + score 16 + cli 4 (item-schema + triage-scorer)
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if [ "$TR_EXIT" = "0" ] && [ -n "$TR_TESTS" ] && [ "$TR_TESTS" -ge "$TRENDS_TESTS_FLOOR" ]; then
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pass "trends-store suite green: $TR_TESTS tests pass (floor $TRENDS_TESTS_FLOOR)"
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else
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@ -1002,6 +1005,70 @@ done
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echo ""
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# --- Section 16g: Trends Scorer Wiring (research-engine RE-R1 / B2) ---
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echo "--- Trends Scorer Wiring ---"
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# RE-R1 lifts the composite/band/threshold arithmetic out of trend-spotter.md prose into
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# tested code (scripts/trends/src/score.ts) behind a CLI seam. Two literals must hold,
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# grepped EXACT (grep -F), deps-absent-safe (pure grep, no tsx):
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# (1) score.ts encodes BOTH mode weight-sets (the 'kortform' + 'long-form' literals), so a
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# silent collapse to one mode fails here (the per-mode arithmetic itself is unit-tested
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# in score.test.ts, behind the deps guard / trends-suite floor);
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# (2) agents/trend-spotter.md references the scorer CLI by the literal 'src/cli.ts score' —
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# the lift is real and grep-able, not merely documented.
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# Non-vacuity self-test mirrors Sections 16c-17: the weight-set predicate (AND of both mode
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# literals) must accept a both-modes probe and reject single-mode probes; the wiring predicate
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# must accept a probe carrying the scorer-pointer literal and reject one without it. Labelled
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# 16g but placed after Section 17 / before Section 18 (anti-erosion must run last so it sees
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# every prior check). UNCONDITIONAL (no tsx) -> counts toward ASSERT_BASELINE_FLOOR.
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WEIGHT_KORT_LIT='kortform'
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WEIGHT_LONG_LIT='long-form'
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SCORER_WIRE_LIT='src/cli.ts score'
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weights_both_modes() { # $1 = text; true iff BOTH mode literals present (echo twice — grep consumes stdin)
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echo "$1" | grep -qF "$WEIGHT_KORT_LIT" && echo "$1" | grep -qF "$WEIGHT_LONG_LIT"
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}
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G16_SELFTEST_OK=1
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if ! weights_both_modes 'the kortform weight-set and the long-form weight-set are both encoded'; then
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G16_SELFTEST_OK=0; echo " non-vacuity FAIL: a both-modes weight probe was not detected"
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fi
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while IFS= read -r probe; do
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[ -z "$probe" ] && continue
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if weights_both_modes "$probe"; then
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G16_SELFTEST_OK=0; echo " false-positive FAIL: single-mode weight probe accepted -> $probe"
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fi
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done <<'NEGATIVE16G'
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only the kortform weight-set is present here
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only the long-form weight-set is present here
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NEGATIVE16G
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if ! echo 'pipe the scores to src/cli.ts score for the composite' | grep -qF "$SCORER_WIRE_LIT"; then
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G16_SELFTEST_OK=0; echo " non-vacuity FAIL: a wired scorer-pointer probe was not detected"
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fi
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if echo 'the agent computes the composite itself' | grep -qF "$SCORER_WIRE_LIT"; then
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G16_SELFTEST_OK=0; echo " false-positive FAIL: an unwired probe matched the scorer pointer"
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fi
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if [ "$G16_SELFTEST_OK" -eq 1 ]; then
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pass "trends-scorer self-test: both-modes weight predicate + scorer-pointer predicate detect wiring, reject the under-wired forms"
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else
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fail "trends-scorer self-test failed — the scorer-wiring lint is vacuous or over-eager"
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fi
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SCORE_TS="scripts/trends/src/score.ts"
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if grep -qF "$WEIGHT_KORT_LIT" "$SCORE_TS" 2>/dev/null && grep -qF "$WEIGHT_LONG_LIT" "$SCORE_TS" 2>/dev/null; then
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pass "score.ts encodes both mode weight-sets ('$WEIGHT_KORT_LIT' + '$WEIGHT_LONG_LIT')"
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else
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fail "score.ts missing a mode weight-set — needs both '$WEIGHT_KORT_LIT' and '$WEIGHT_LONG_LIT' in $SCORE_TS"
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fi
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if grep -qF "$SCORER_WIRE_LIT" agents/trend-spotter.md; then
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pass "trend-spotter.md references the scorer CLI ('$SCORER_WIRE_LIT') as the deterministic-step owner"
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else
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fail "trend-spotter.md does not reference the scorer CLI — add a '$SCORER_WIRE_LIT' pointer (RE-R1 lift)"
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fi
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echo ""
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# --- Section 18: Assertion-Count Anti-Erosion (SC6) ---
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# The lint self-modifies its own checks, so a green run could mask a silently dropped
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# assertion. Pin the total pass()+fail() invocations as a monotonic floor; the count
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@ -1011,12 +1078,14 @@ echo ""
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# +2 for SB-S3a's two UNCONDITIONAL Section-16d checks (profile-reader self-test +
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# strategy-advisor wiring grep) = 80; +2 for SB-S3d's two UNCONDITIONAL Section-16e
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# checks (ops-reader self-test + strategy-advisor ops-wiring grep) = 82; +2 for SB-S3e's
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# two UNCONDITIONAL Section-16f checks (reconcile self-test + brain-CLI reconcile grep) = 84.
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# two UNCONDITIONAL Section-16f checks (reconcile self-test + brain-CLI reconcile grep) = 84;
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# +3 for RE-R1's three UNCONDITIONAL Section-16g checks (trends-scorer self-test + score.ts
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# both-modes weight-set grep + trend-spotter scorer-pointer grep) = 87.
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# NB: the floor tracks the deps-absent MINIMUM (conditional TS suites warn-skip and drop
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# the count), so it is bumped only by UNCONDITIONAL new checks — NOT pinned to the
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# deps-present TOTAL_CHECKS (that would zero the warn-skip margin and false-fail a fresh
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# clone). Runs last so TOTAL_CHECKS sees every prior check.
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ASSERT_BASELINE_FLOOR=84
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ASSERT_BASELINE_FLOOR=87
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TOTAL_CHECKS=$((PASS + FAIL))
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if [ "$TOTAL_CHECKS" -ge "$ASSERT_BASELINE_FLOOR" ]; then
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pass "assertion-count anti-erosion: $TOTAL_CHECKS checks >= baseline floor $ASSERT_BASELINE_FLOOR"
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@ -7,14 +7,23 @@
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* node --import tsx src/cli.ts query --topics <a,b> [--store <path>] [--json]
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* node --import tsx src/cli.ts list [--since <YYYY-MM-DD>] [--limit <n>] [--store <path>] [--json]
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* node --import tsx src/cli.ts status [--store <path>] [--json]
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* echo '<raw item|batch>' | node --import tsx src/cli.ts normalize
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* echo '<scored candidates>' | node --import tsx src/cli.ts score [--mode kortform|long-form] [--threshold N]
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*
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* The capture agent (research-engine) calls `add` to fold a freshly-polled trend
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* into the store, and `query`/`list` to reason over accumulated history. The
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* polling + relevance-scoring itself lives upstream; this is the deterministic store.
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*
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* Exit code: 0 on success, 2 on usage error.
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* `normalize` + `score` (RE-R1) are the deterministic research-engine seam: both read
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* their JSON PAYLOAD FROM STDIN (so they do not overload `--json`, which stays an
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* output toggle) and print JSON to stdout. `normalize` validates raw items into the
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* canonical envelope; `score` triages scored candidates (composite/band/threshold).
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*
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* Exit code: 0 on success, 2 on usage error (incl. unparseable stdin / bad flag).
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*/
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import { readFileSync } from "node:fs";
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import {
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addTrend,
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defaultStorePath,
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@ -24,6 +33,9 @@ import {
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queryByTopic,
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saveStore,
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} from "./store.js";
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import { normalizeItem, normalizeItems } from "./item.js";
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import { triage } from "./score.js";
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import type { ScoreMode } from "./score.js";
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function parseFlags(args: string[]): Record<string, string> {
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const out: Record<string, string> = {};
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@ -58,11 +70,29 @@ function usage(msg: string): never {
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' add --title "<t>" --url "<u>" --topics <a,b> [--source <s>] [--summary "<s>"] [--store <path>]\n' +
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" query --topics <a,b> [--store <path>] [--json]\n" +
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" list [--since <YYYY-MM-DD>] [--limit <n>] [--store <path>] [--json]\n" +
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" status [--store <path>] [--json]",
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" status [--store <path>] [--json]\n" +
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" normalize < raw-item-or-batch.json\n" +
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" score [--mode kortform|long-form] [--threshold N] < scored-candidates.json",
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);
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process.exit(2);
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}
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/** Read the full JSON payload from stdin, or exit 2 if it is empty/unparseable. */
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function readStdinJson(): unknown {
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let raw = "";
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try {
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raw = readFileSync(0, "utf8").trim();
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} catch {
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raw = "";
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}
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if (raw.length === 0) usage("expected a JSON payload on stdin");
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try {
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return JSON.parse(raw);
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} catch {
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usage("stdin is not valid JSON");
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}
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}
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function today(): string {
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return new Date().toISOString().slice(0, 10);
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}
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@ -166,6 +196,38 @@ function main(): void {
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return;
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}
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if (command === "normalize") {
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const payload = readStdinJson();
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const out = Array.isArray(payload) ? normalizeItems(payload) : normalizeItem(payload);
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console.log(JSON.stringify(out, null, 2));
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return;
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}
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if (command === "score") {
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const mode = flags.mode && flags.mode !== "true" ? flags.mode : "kortform";
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if (mode !== "kortform" && mode !== "long-form") {
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usage('score --mode must be "kortform" or "long-form"');
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}
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let threshold = 4.0;
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if (flags.threshold && flags.threshold !== "true") {
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const t = Number.parseFloat(flags.threshold);
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if (Number.isNaN(t)) usage("--threshold must be a number");
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threshold = t;
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}
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const payload = readStdinJson();
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if (!Array.isArray(payload)) usage("score expects a JSON array of scored candidates on stdin");
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try {
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const result = triage(payload as Array<{ scores: Record<string, number> }>, {
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mode: mode as ScoreMode,
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threshold,
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});
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console.log(JSON.stringify(result, null, 2));
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} catch (e) {
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usage(`scoring failed: ${(e as Error).message}`);
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}
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return;
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}
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usage(command ? `unknown command: ${command}` : "no command given");
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}
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130
scripts/trends/src/item.ts
Normal file
130
scripts/trends/src/item.ts
Normal file
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@ -0,0 +1,130 @@
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/**
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* Canonical ingress item schema + normalizer for the research engine (RE-R1, B1).
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*
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* A `TrendItem` is the ONE envelope every source/adapter emits before a trend reaches
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* the store — "the one schema downstream never branches on". This module validates +
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* normalizes that envelope deterministically (no AI, no network): required-field
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* validation, topic normalize + dedupe, optional publishedAt ISO validation. It is the
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* trend-side twin of the store's own normalize/dedupe discipline (scripts/trends/src/store.ts).
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*
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* Scope (RE-R1): the validated envelope + normalizer ONLY. The item->store bridge —
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* injecting the store's `capturedAt` and persisting `publishedAt` — is R2 orchestration
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* and lives in the CLI/agent layer, not here. The envelope carries NO `id`: the store
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* derives it via addTrend->trendId, so an id here would be a second source of truth.
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*
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* GENERIC BY ARCHITECTURE: nothing niche-specific lives here. Which topics matter and
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* which sources to poll are decided upstream (config/profile + the capture agent).
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*/
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import { normalizeField } from "./store.js";
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export interface TrendItem {
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/** Capture origin: a research-MCP name ("tavily"), "websearch", or "manual". Stored VERBATIM. */
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source: string;
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/** The trend headline, VERBATIM (case + spacing preserved — the store keeps it verbatim too). */
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title: string;
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/** The source URL, VERBATIM (case-sensitive paths must survive). */
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url: string;
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/**
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* The SOURCE's own publish date (ISO-8601), validated-if-present. Carried for
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* forward-compat (B4 freshness) — distinct from the store's `capturedAt`, and NOT
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* persisted in R1. Absent -> the key is omitted.
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*/
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publishedAt?: string;
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/** Topic tags, normalized (lowercase + whitespace-collapsed via normalizeField) + deduped. */
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topics: string[];
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/** Optional short summary, VERBATIM. Absent/blank -> the key is omitted. */
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summary?: string;
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}
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export type NormalizeResult = { ok: true; item: TrendItem } | { ok: false; errors: string[] };
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/** One failed entry in a batch: its index in the input + the field errors. */
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export interface ItemError {
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index: number;
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errors: string[];
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}
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const REQUIRED_FIELDS = ["source", "title", "url"] as const;
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/** Strict ISO-8601: a calendar date (YYYY-MM-DD), optionally with a time/zone. Rejects impossible dates. */
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function isValidIso(value: string): boolean {
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if (!/^\d{4}-\d{2}-\d{2}([T ]\d{2}:\d{2}(:\d{2}(\.\d+)?)?(Z|[+-]\d{2}:\d{2})?)?$/.test(value)) {
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return false;
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}
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const ms = Date.parse(value);
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if (Number.isNaN(ms)) return false;
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// Round-trip the date part: catches 2026-02-30 / out-of-range that the regex lets through.
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return new Date(ms).toISOString().slice(0, 10) === value.slice(0, 10);
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}
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function isNonEmptyString(v: unknown): v is string {
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return typeof v === "string" && v.trim().length > 0;
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}
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/** Normalize each topic via the store's normalizeField, drop blanks, dedupe (first-seen order). */
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function normalizeTopics(raw: unknown): string[] {
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if (!Array.isArray(raw)) return [];
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const out: string[] = [];
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const seen = new Set<string>();
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for (const t of raw) {
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if (typeof t !== "string") continue;
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const norm = normalizeField(t);
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if (norm.length === 0 || seen.has(norm)) continue;
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seen.add(norm);
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out.push(norm);
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}
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return out;
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}
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/**
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* Validate + normalize one raw item into the canonical envelope. Pure. Returns a
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* structured error (never a silent partial) when a required field is missing/empty
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* or publishedAt is present-but-invalid.
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*/
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export function normalizeItem(raw: unknown): NormalizeResult {
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if (typeof raw !== "object" || raw === null || Array.isArray(raw)) {
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return { ok: false, errors: ["raw item must be an object"] };
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}
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const r = raw as Record<string, unknown>;
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const errors: string[] = [];
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for (const field of REQUIRED_FIELDS) {
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if (!isNonEmptyString(r[field])) {
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errors.push(`missing or empty required field: ${field}`);
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}
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}
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let publishedAt: string | undefined;
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if (r.publishedAt !== undefined && r.publishedAt !== null) {
|
||||
if (typeof r.publishedAt !== "string" || !isValidIso(r.publishedAt)) {
|
||||
errors.push(`invalid publishedAt (expected an ISO-8601 date): ${String(r.publishedAt)}`);
|
||||
} else {
|
||||
publishedAt = r.publishedAt;
|
||||
}
|
||||
}
|
||||
|
||||
if (errors.length > 0) return { ok: false, errors };
|
||||
|
||||
const item: TrendItem = {
|
||||
source: r.source as string,
|
||||
title: r.title as string,
|
||||
url: r.url as string,
|
||||
topics: normalizeTopics(r.topics),
|
||||
...(publishedAt !== undefined ? { publishedAt } : {}),
|
||||
...(isNonEmptyString(r.summary) ? { summary: r.summary as string } : {}),
|
||||
};
|
||||
return { ok: true, item };
|
||||
}
|
||||
|
||||
/** Partition a raw batch into normalized items + per-index errors (never throws). */
|
||||
export function normalizeItems(raw: unknown[]): { items: TrendItem[]; errors: ItemError[] } {
|
||||
const items: TrendItem[] = [];
|
||||
const errors: ItemError[] = [];
|
||||
raw.forEach((entry, index) => {
|
||||
const res = normalizeItem(entry);
|
||||
if (res.ok) items.push(res.item);
|
||||
else errors.push({ index, errors: res.errors });
|
||||
});
|
||||
return { items, errors };
|
||||
}
|
||||
122
scripts/trends/src/score.ts
Normal file
122
scripts/trends/src/score.ts
Normal file
|
|
@ -0,0 +1,122 @@
|
|||
/**
|
||||
* Deterministic triage scorer for the research engine (RE-R1, B2).
|
||||
*
|
||||
* Owns ONLY the arithmetic the SSOT (references/trend-scoring-modes.md) defines: the
|
||||
* per-mode weighted composite, the composite->band map, and the threshold triage.
|
||||
* Producing the five 1-10 dimension scores stays MODEL JUDGMENT by design — this module
|
||||
* never scores; it only combines + classifies + ranks. No AI, no network: pure and tested.
|
||||
*
|
||||
* SSOT discipline: the weights, the four band thresholds, and the ten band action strings
|
||||
* below MIRROR references/trend-scoring-modes.md (the human source of truth). score.test.ts
|
||||
* pins all three against the SSOT values so silent drift in any of them fails loudly. The
|
||||
* ORDERING of the weights is the signal; the exact percentages are a documented choice, not
|
||||
* a measured coefficient (SSOT "How to read this file").
|
||||
*/
|
||||
|
||||
export type ScoreMode = "kortform" | "long-form";
|
||||
export type DimensionScores = Record<string, number>;
|
||||
|
||||
/** kortform weights (SSOT "Mode: kortform"). Sigma = 1.0. */
|
||||
export const KORTFORM_WEIGHTS = {
|
||||
pillar: 0.3,
|
||||
audience: 0.25,
|
||||
timing: 0.2,
|
||||
angle: 0.15,
|
||||
authority: 0.1,
|
||||
} as const;
|
||||
|
||||
/** long-form weights (SSOT "Mode: long-form"). Sigma = 1.0. */
|
||||
export const LONG_FORM_WEIGHTS = {
|
||||
pillar: 0.3,
|
||||
depth: 0.25,
|
||||
angle: 0.2,
|
||||
authority: 0.15,
|
||||
currency: 0.1,
|
||||
} as const;
|
||||
|
||||
const WEIGHTS: Record<ScoreMode, Record<string, number>> = {
|
||||
kortform: KORTFORM_WEIGHTS,
|
||||
"long-form": LONG_FORM_WEIGHTS,
|
||||
};
|
||||
|
||||
export type Priority = "Immediate" | "High" | "Medium" | "Low" | "Skip";
|
||||
|
||||
export interface Band {
|
||||
priority: Priority;
|
||||
kortformAction: string;
|
||||
longformAction: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* Composite->band map (SSOT "Composite -> action"). Descending by `min`; the first band
|
||||
* whose `min` the composite reaches wins. Thresholds + action strings are pinned by
|
||||
* score.test.ts against the SSOT, so any drift here fails the gate.
|
||||
*/
|
||||
const BANDS: ReadonlyArray<{ readonly min: number } & Band> = [
|
||||
{ min: 8.0, priority: "Immediate", kortformAction: "Draft within 24h", longformAction: "Promote to the edition backlog now" },
|
||||
{ min: 6.0, priority: "High", kortformAction: "Publish within 48–72h", longformAction: "Strong edition candidate — schedule it" },
|
||||
{ min: 4.0, priority: "Medium", kortformAction: "Add to this week's calendar", longformAction: "Hold as a backlog candidate, revisit" },
|
||||
{ min: 2.0, priority: "Low", kortformAction: "Note, skip for now", longformAction: "Park unless the angle sharpens" },
|
||||
{ min: 0, priority: "Skip", kortformAction: "Off positioning", longformAction: "Off positioning" },
|
||||
];
|
||||
|
||||
function round1(x: number): number {
|
||||
return Math.round(x * 10) / 10;
|
||||
}
|
||||
|
||||
function toBand(b: { readonly min: number } & Band): Band {
|
||||
return { priority: b.priority, kortformAction: b.kortformAction, longformAction: b.longformAction };
|
||||
}
|
||||
|
||||
/**
|
||||
* Weighted composite on the shared 0-10 scale, rounded to 1 decimal (the SSOT's display
|
||||
* granularity). Validates each of the mode's five dimensions in [1,10]; a missing or
|
||||
* out-of-range dimension throws — the scores are model output, and a bad one is a contract
|
||||
* violation, not a value to silently clamp.
|
||||
*/
|
||||
export function composite(scores: DimensionScores, mode: ScoreMode): number {
|
||||
const weights = WEIGHTS[mode];
|
||||
let sum = 0;
|
||||
for (const [dim, weight] of Object.entries(weights)) {
|
||||
const value = scores[dim];
|
||||
if (typeof value !== "number" || Number.isNaN(value) || value < 1 || value > 10) {
|
||||
throw new RangeError(`dimension "${dim}" must be a number in [1,10] (got ${String(value)})`);
|
||||
}
|
||||
sum += value * weight;
|
||||
}
|
||||
return round1(sum);
|
||||
}
|
||||
|
||||
/** Map a composite to its priority band + the mode-specific action strings. */
|
||||
export function band(composite: number): Band {
|
||||
for (const b of BANDS) {
|
||||
if (composite >= b.min) return toBand(b);
|
||||
}
|
||||
// composite < 0 (off the scale) — classify as Skip rather than throw; band is a classifier.
|
||||
return toBand(BANDS[BANDS.length - 1]);
|
||||
}
|
||||
|
||||
export interface TriageOptions {
|
||||
mode: ScoreMode;
|
||||
threshold: number;
|
||||
}
|
||||
|
||||
export type Triaged<T> = T & { composite: number; band: Band };
|
||||
|
||||
/**
|
||||
* Score each candidate, keep composite >= threshold (ranked composite-desc), drop below
|
||||
* (also composite-desc). Each returned entry is annotated with its composite + band. Pure.
|
||||
*/
|
||||
export function triage<T extends { scores: DimensionScores }>(
|
||||
candidates: T[],
|
||||
opts: TriageOptions,
|
||||
): { kept: Array<Triaged<T>>; dropped: Array<Triaged<T>> } {
|
||||
const annotated: Array<Triaged<T>> = candidates.map((c) => {
|
||||
const comp = composite(c.scores, opts.mode);
|
||||
return { ...c, composite: comp, band: band(comp) };
|
||||
});
|
||||
const byCompositeDesc = (a: Triaged<T>, b: Triaged<T>) => b.composite - a.composite;
|
||||
const kept = annotated.filter((a) => a.composite >= opts.threshold).sort(byCompositeDesc);
|
||||
const dropped = annotated.filter((a) => a.composite < opts.threshold).sort(byCompositeDesc);
|
||||
return { kept, dropped };
|
||||
}
|
||||
70
scripts/trends/tests/cli.test.ts
Normal file
70
scripts/trends/tests/cli.test.ts
Normal file
|
|
@ -0,0 +1,70 @@
|
|||
import { describe, test } from "node:test";
|
||||
import assert from "node:assert/strict";
|
||||
import { spawnSync } from "node:child_process";
|
||||
import { fileURLToPath } from "node:url";
|
||||
|
||||
// Resolve the package root (scripts/trends) so the subprocess `src/cli.ts` path + the
|
||||
// `tsx` loader resolve regardless of the runner's cwd.
|
||||
const trendsDir = fileURLToPath(new URL("..", import.meta.url));
|
||||
|
||||
function run(args: string[], input: string): { status: number | null; stdout: string } {
|
||||
const res = spawnSync("node", ["--import", "tsx", "src/cli.ts", ...args], {
|
||||
input,
|
||||
encoding: "utf8",
|
||||
cwd: trendsDir,
|
||||
});
|
||||
return { status: res.status, stdout: res.stdout };
|
||||
}
|
||||
|
||||
describe("trends CLI — normalize/score subcommands (RE-R1 / Step 4)", () => {
|
||||
describe("normalize (stdin JSON in, JSON out)", () => {
|
||||
test("happy path: a JSON batch on stdin -> exit 0 + {items,errors} JSON", () => {
|
||||
const batch = JSON.stringify([
|
||||
{ source: "tavily", title: "Good", url: "https://example.com/a", topics: ["AI", "ai"] },
|
||||
{ source: "tavily", title: "", url: "https://example.com/b", topics: ["x"] }, // bad: empty title
|
||||
]);
|
||||
const { status, stdout } = run(["normalize"], batch);
|
||||
assert.equal(status, 0);
|
||||
const out = JSON.parse(stdout);
|
||||
assert.equal(out.items.length, 1);
|
||||
assert.deepEqual(out.items[0].topics, ["ai"]); // deduped + lowercased
|
||||
assert.equal(out.errors.length, 1);
|
||||
assert.equal(out.errors[0].index, 1);
|
||||
});
|
||||
|
||||
test("bad invocation: unparseable stdin -> exit 2", () => {
|
||||
const { status } = run(["normalize"], "not json at all");
|
||||
assert.equal(status, 2);
|
||||
});
|
||||
});
|
||||
|
||||
describe("score (stdin JSON in, JSON out)", () => {
|
||||
test("happy path: scored candidates on stdin -> exit 0 + {kept,dropped} JSON", () => {
|
||||
const candidates = JSON.stringify([
|
||||
{ id: "high", scores: { pillar: 8, audience: 8, timing: 8, angle: 8, authority: 8 } }, // 8.0
|
||||
{ id: "low", scores: { pillar: 2, audience: 2, timing: 2, angle: 2, authority: 2 } }, // 2.0
|
||||
]);
|
||||
const { status, stdout } = run(["score", "--mode", "kortform", "--threshold", "4.0"], candidates);
|
||||
assert.equal(status, 0);
|
||||
const out = JSON.parse(stdout);
|
||||
assert.deepEqual(
|
||||
out.kept.map((k: { id: string }) => k.id),
|
||||
["high"],
|
||||
);
|
||||
assert.equal(out.kept[0].composite, 8.0);
|
||||
assert.equal(out.kept[0].band.priority, "Immediate");
|
||||
assert.deepEqual(
|
||||
out.dropped.map((d: { id: string }) => d.id),
|
||||
["low"],
|
||||
);
|
||||
});
|
||||
|
||||
test("bad invocation: an unknown --mode -> exit 2", () => {
|
||||
const candidates = JSON.stringify([
|
||||
{ id: "x", scores: { pillar: 5, audience: 5, timing: 5, angle: 5, authority: 5 } },
|
||||
]);
|
||||
const { status } = run(["score", "--mode", "bogus"], candidates);
|
||||
assert.equal(status, 2);
|
||||
});
|
||||
});
|
||||
});
|
||||
182
scripts/trends/tests/item.test.ts
Normal file
182
scripts/trends/tests/item.test.ts
Normal file
|
|
@ -0,0 +1,182 @@
|
|||
import { describe, test } from "node:test";
|
||||
import assert from "node:assert/strict";
|
||||
|
||||
import { normalizeItem, normalizeItems } from "../src/item.js";
|
||||
import { normalizeField } from "../src/store.js";
|
||||
|
||||
describe("trends item normalizer (RE-R1 / B1)", () => {
|
||||
describe("normalizeItem — well-formed", () => {
|
||||
test("a well-formed raw item normalizes to a canonical item (string fields verbatim)", () => {
|
||||
const raw = {
|
||||
source: "tavily",
|
||||
title: "OpenAI ships a new reasoning model",
|
||||
url: "https://example.com/Article-Path",
|
||||
topics: ["ai", "reasoning"],
|
||||
summary: "A short summary.",
|
||||
};
|
||||
const res = normalizeItem(raw);
|
||||
assert.equal(res.ok, true);
|
||||
if (!res.ok) return;
|
||||
assert.equal(res.item.source, "tavily");
|
||||
assert.equal(res.item.title, "OpenAI ships a new reasoning model"); // verbatim, case preserved
|
||||
assert.equal(res.item.url, "https://example.com/Article-Path"); // verbatim, case-sensitive path
|
||||
assert.equal(res.item.summary, "A short summary.");
|
||||
assert.deepEqual(res.item.topics, ["ai", "reasoning"]);
|
||||
});
|
||||
|
||||
test("topics are normalized (lowercase + whitespace) and deduped, order-stable", () => {
|
||||
const res = normalizeItem({
|
||||
source: "manual",
|
||||
title: "T",
|
||||
url: "https://example.com/t",
|
||||
topics: ["AI", " Machine Learning ", "ai", "Machine Learning"],
|
||||
});
|
||||
assert.equal(res.ok, true);
|
||||
if (!res.ok) return;
|
||||
// "AI"/"ai" dedupe -> "ai"; " Machine Learning "/"Machine Learning" dedupe -> "machine learning"
|
||||
assert.deepEqual(res.item.topics, ["ai", "machine learning"]);
|
||||
// each topic equals store.normalizeField of the raw form (the same normalization)
|
||||
assert.equal(res.item.topics[1], normalizeField(" Machine Learning "));
|
||||
});
|
||||
|
||||
test("the canonical item carries NO id (the store derives it via addTrend->trendId)", () => {
|
||||
const res = normalizeItem({
|
||||
source: "tavily",
|
||||
title: "No id here",
|
||||
url: "https://example.com/x",
|
||||
topics: ["x"],
|
||||
});
|
||||
assert.equal(res.ok, true);
|
||||
if (!res.ok) return;
|
||||
assert.equal((res.item as Record<string, unknown>).id, undefined);
|
||||
assert.equal(Object.prototype.hasOwnProperty.call(res.item, "id"), false);
|
||||
});
|
||||
|
||||
test("summary is optional — absent -> no summary key", () => {
|
||||
const res = normalizeItem({ source: "manual", title: "T", url: "https://example.com/t", topics: ["x"] });
|
||||
assert.equal(res.ok, true);
|
||||
if (!res.ok) return;
|
||||
assert.equal("summary" in res.item, false);
|
||||
});
|
||||
|
||||
test("topics absent -> empty topics array", () => {
|
||||
const res = normalizeItem({ source: "manual", title: "T", url: "https://example.com/t" });
|
||||
assert.equal(res.ok, true);
|
||||
if (!res.ok) return;
|
||||
assert.deepEqual(res.item.topics, []);
|
||||
});
|
||||
});
|
||||
|
||||
describe("normalizeItem — required-field validation", () => {
|
||||
for (const field of ["source", "title", "url"] as const) {
|
||||
test(`missing ${field} -> {ok:false} naming the field`, () => {
|
||||
const base: Record<string, unknown> = {
|
||||
source: "tavily",
|
||||
title: "T",
|
||||
url: "https://example.com/t",
|
||||
topics: ["x"],
|
||||
};
|
||||
delete base[field];
|
||||
const res = normalizeItem(base);
|
||||
assert.equal(res.ok, false);
|
||||
if (res.ok) return;
|
||||
assert.ok(
|
||||
res.errors.some((e) => e.includes(field)),
|
||||
`error should name ${field}: ${res.errors.join("; ")}`,
|
||||
);
|
||||
});
|
||||
|
||||
test(`empty/whitespace ${field} -> {ok:false} naming the field (no silent partial)`, () => {
|
||||
const base: Record<string, unknown> = {
|
||||
source: "tavily",
|
||||
title: "T",
|
||||
url: "https://example.com/t",
|
||||
topics: ["x"],
|
||||
};
|
||||
base[field] = " ";
|
||||
const res = normalizeItem(base);
|
||||
assert.equal(res.ok, false);
|
||||
if (res.ok) return;
|
||||
assert.ok(res.errors.some((e) => e.includes(field)));
|
||||
});
|
||||
}
|
||||
|
||||
test("a non-object raw -> {ok:false}", () => {
|
||||
const res = normalizeItem("not an object" as unknown);
|
||||
assert.equal(res.ok, false);
|
||||
});
|
||||
});
|
||||
|
||||
describe("normalizeItem — publishedAt", () => {
|
||||
test("present and valid ISO date -> kept", () => {
|
||||
const res = normalizeItem({
|
||||
source: "tavily",
|
||||
title: "T",
|
||||
url: "https://example.com/t",
|
||||
topics: ["x"],
|
||||
publishedAt: "2026-06-20",
|
||||
});
|
||||
assert.equal(res.ok, true);
|
||||
if (!res.ok) return;
|
||||
assert.equal(res.item.publishedAt, "2026-06-20");
|
||||
});
|
||||
|
||||
test("absent -> undefined (no key)", () => {
|
||||
const res = normalizeItem({ source: "tavily", title: "T", url: "https://example.com/t", topics: ["x"] });
|
||||
assert.equal(res.ok, true);
|
||||
if (!res.ok) return;
|
||||
assert.equal(res.item.publishedAt, undefined);
|
||||
assert.equal("publishedAt" in res.item, false);
|
||||
});
|
||||
|
||||
test("present but invalid -> {ok:false} naming publishedAt", () => {
|
||||
const res = normalizeItem({
|
||||
source: "tavily",
|
||||
title: "T",
|
||||
url: "https://example.com/t",
|
||||
topics: ["x"],
|
||||
publishedAt: "not-a-date",
|
||||
});
|
||||
assert.equal(res.ok, false);
|
||||
if (res.ok) return;
|
||||
assert.ok(res.errors.some((e) => e.includes("publishedAt")));
|
||||
});
|
||||
|
||||
test("present but impossible calendar date -> {ok:false}", () => {
|
||||
const res = normalizeItem({
|
||||
source: "tavily",
|
||||
title: "T",
|
||||
url: "https://example.com/t",
|
||||
topics: ["x"],
|
||||
publishedAt: "2026-13-45",
|
||||
});
|
||||
assert.equal(res.ok, false);
|
||||
});
|
||||
});
|
||||
|
||||
describe("normalizeItems — batch partition", () => {
|
||||
test("partitions a batch into {items, errors} with error indices", () => {
|
||||
const raw = [
|
||||
{ source: "tavily", title: "Good A", url: "https://example.com/a", topics: ["x"] },
|
||||
{ source: "tavily", title: "", url: "https://example.com/b", topics: ["y"] }, // bad: empty title
|
||||
{ source: "manual", title: "Good C", url: "https://example.com/c", topics: ["z", "z"] },
|
||||
];
|
||||
const { items, errors } = normalizeItems(raw);
|
||||
assert.equal(items.length, 2);
|
||||
assert.equal(errors.length, 1);
|
||||
assert.equal(errors[0].index, 1);
|
||||
assert.ok(errors[0].errors.some((e) => e.includes("title")));
|
||||
assert.deepEqual(
|
||||
items.map((i) => i.title),
|
||||
["Good A", "Good C"],
|
||||
);
|
||||
assert.deepEqual(items[1].topics, ["z"]); // deduped
|
||||
});
|
||||
|
||||
test("an empty batch -> empty partition", () => {
|
||||
const { items, errors } = normalizeItems([]);
|
||||
assert.deepEqual(items, []);
|
||||
assert.deepEqual(errors, []);
|
||||
});
|
||||
});
|
||||
});
|
||||
145
scripts/trends/tests/score.test.ts
Normal file
145
scripts/trends/tests/score.test.ts
Normal file
|
|
@ -0,0 +1,145 @@
|
|||
import { describe, test } from "node:test";
|
||||
import assert from "node:assert/strict";
|
||||
|
||||
import { KORTFORM_WEIGHTS, LONG_FORM_WEIGHTS, composite, band, triage } from "../src/score.js";
|
||||
|
||||
const r1 = (x: number) => Math.round(x * 10) / 10;
|
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const sum = (o: Record<string, number>) => Object.values(o).reduce((a, b) => a + b, 0);
|
||||
|
||||
describe("trends scorer (RE-R1 / B2)", () => {
|
||||
// SSOT: references/trend-scoring-modes.md — weights, band thresholds, and action
|
||||
// strings are pinned here so silent drift in any of them fails loudly.
|
||||
describe("pinned weights (SSOT)", () => {
|
||||
test("kortform weights match the SSOT and sum to 1.0", () => {
|
||||
assert.equal(KORTFORM_WEIGHTS.pillar, 0.3);
|
||||
assert.equal(KORTFORM_WEIGHTS.audience, 0.25);
|
||||
assert.equal(KORTFORM_WEIGHTS.timing, 0.2);
|
||||
assert.equal(KORTFORM_WEIGHTS.angle, 0.15);
|
||||
assert.equal(KORTFORM_WEIGHTS.authority, 0.1);
|
||||
assert.equal(r1(sum(KORTFORM_WEIGHTS)), 1.0);
|
||||
});
|
||||
|
||||
test("long-form weights match the SSOT and sum to 1.0", () => {
|
||||
assert.equal(LONG_FORM_WEIGHTS.pillar, 0.3);
|
||||
assert.equal(LONG_FORM_WEIGHTS.depth, 0.25);
|
||||
assert.equal(LONG_FORM_WEIGHTS.angle, 0.2);
|
||||
assert.equal(LONG_FORM_WEIGHTS.authority, 0.15);
|
||||
assert.equal(LONG_FORM_WEIGHTS.currency, 0.1);
|
||||
assert.equal(r1(sum(LONG_FORM_WEIGHTS)), 1.0);
|
||||
});
|
||||
});
|
||||
|
||||
describe("composite", () => {
|
||||
test("all-tens -> exactly 10.0 (proves Sigma weights = 1.0) for both modes", () => {
|
||||
const kort = { pillar: 10, audience: 10, timing: 10, angle: 10, authority: 10 };
|
||||
const long = { pillar: 10, depth: 10, angle: 10, authority: 10, currency: 10 };
|
||||
assert.equal(composite(kort, "kortform"), 10.0);
|
||||
assert.equal(composite(long, "long-form"), 10.0);
|
||||
});
|
||||
|
||||
test("asymmetric golden vector {10,8,6,4,2} in dimension order -> 7.0 for both modes", () => {
|
||||
// 10*.30 + 8*.25 + 6*.20 + 4*.15 + 2*.10 = 3.0 + 2.0 + 1.2 + 0.6 + 0.2 = 7.0
|
||||
const kort = { pillar: 10, audience: 8, timing: 6, angle: 4, authority: 2 };
|
||||
const long = { pillar: 10, depth: 8, angle: 6, authority: 4, currency: 2 };
|
||||
assert.equal(composite(kort, "kortform"), 7.0);
|
||||
assert.equal(composite(long, "long-form"), 7.0);
|
||||
});
|
||||
|
||||
test("a dimension below 1 throws", () => {
|
||||
const kort = { pillar: 0, audience: 5, timing: 5, angle: 5, authority: 5 };
|
||||
assert.throws(() => composite(kort, "kortform"), /range|1.*10|dimension/i);
|
||||
});
|
||||
|
||||
test("a dimension above 10 throws", () => {
|
||||
const kort = { pillar: 11, audience: 5, timing: 5, angle: 5, authority: 5 };
|
||||
assert.throws(() => composite(kort, "kortform"));
|
||||
});
|
||||
|
||||
test("a missing dimension throws", () => {
|
||||
const kort = { pillar: 5, audience: 5, timing: 5, angle: 5 }; // authority missing
|
||||
assert.throws(() => composite(kort as Record<string, number>, "kortform"));
|
||||
});
|
||||
});
|
||||
|
||||
describe("band — boundaries + exact SSOT action strings", () => {
|
||||
test("8.0 -> Immediate", () => {
|
||||
const b = band(8.0);
|
||||
assert.equal(b.priority, "Immediate");
|
||||
assert.equal(b.kortformAction, "Draft within 24h");
|
||||
assert.equal(b.longformAction, "Promote to the edition backlog now");
|
||||
});
|
||||
|
||||
test("6.0 -> High", () => {
|
||||
const b = band(6.0);
|
||||
assert.equal(b.priority, "High");
|
||||
assert.equal(b.kortformAction, "Publish within 48–72h");
|
||||
assert.equal(b.longformAction, "Strong edition candidate — schedule it");
|
||||
});
|
||||
|
||||
test("4.0 -> Medium", () => {
|
||||
const b = band(4.0);
|
||||
assert.equal(b.priority, "Medium");
|
||||
assert.equal(b.kortformAction, "Add to this week's calendar");
|
||||
assert.equal(b.longformAction, "Hold as a backlog candidate, revisit");
|
||||
});
|
||||
|
||||
test("2.0 -> Low", () => {
|
||||
const b = band(2.0);
|
||||
assert.equal(b.priority, "Low");
|
||||
assert.equal(b.kortformAction, "Note, skip for now");
|
||||
assert.equal(b.longformAction, "Park unless the angle sharpens");
|
||||
});
|
||||
|
||||
test("below 2.0 -> Skip", () => {
|
||||
const b = band(1.9);
|
||||
assert.equal(b.priority, "Skip");
|
||||
assert.equal(b.kortformAction, "Off positioning");
|
||||
assert.equal(b.longformAction, "Off positioning");
|
||||
});
|
||||
|
||||
test("just below a boundary lands in the lower band (7.9->High, 5.9->Medium, 3.9->Low)", () => {
|
||||
assert.equal(band(7.9).priority, "High");
|
||||
assert.equal(band(5.9).priority, "Medium");
|
||||
assert.equal(band(3.9).priority, "Low");
|
||||
});
|
||||
});
|
||||
|
||||
describe("triage", () => {
|
||||
const candidates = [
|
||||
{ id: "low", scores: { pillar: 2, audience: 2, timing: 2, angle: 2, authority: 2 } }, // 2.0
|
||||
{ id: "high", scores: { pillar: 8, audience: 8, timing: 8, angle: 8, authority: 8 } }, // 8.0
|
||||
{ id: "mid", scores: { pillar: 5, audience: 5, timing: 5, angle: 5, authority: 5 } }, // 5.0
|
||||
{ id: "below", scores: { pillar: 3, audience: 3, timing: 3, angle: 3, authority: 3 } }, // 3.0
|
||||
];
|
||||
|
||||
test("keeps composite >= threshold, drops below, ranks kept composite-desc, annotates", () => {
|
||||
const { kept, dropped } = triage(candidates, { mode: "kortform", threshold: 4.0 });
|
||||
assert.deepEqual(
|
||||
kept.map((k) => k.id),
|
||||
["high", "mid"],
|
||||
); // 8.0, 5.0 desc; both >= 4.0
|
||||
assert.deepEqual(
|
||||
dropped.map((d) => d.id).sort(),
|
||||
["below", "low"],
|
||||
); // 3.0, 2.0 < 4.0
|
||||
assert.equal(kept[0].composite, 8.0);
|
||||
assert.equal(kept[0].band.priority, "Immediate");
|
||||
assert.equal(kept[1].composite, 5.0);
|
||||
assert.equal(kept[1].band.priority, "Medium");
|
||||
});
|
||||
|
||||
test("threshold is inclusive (composite == threshold is kept)", () => {
|
||||
const { kept } = triage(candidates, { mode: "kortform", threshold: 5.0 });
|
||||
assert.deepEqual(
|
||||
kept.map((k) => k.id),
|
||||
["high", "mid"],
|
||||
); // mid == 5.0 kept
|
||||
});
|
||||
|
||||
test("an empty candidate list -> empty kept/dropped", () => {
|
||||
const { kept, dropped } = triage([], { mode: "kortform", threshold: 4.0 });
|
||||
assert.deepEqual(kept, []);
|
||||
assert.deepEqual(dropped, []);
|
||||
});
|
||||
});
|
||||
});
|
||||
Loading…
Add table
Add a link
Reference in a new issue