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feat(linkedin-studio): trends store — research-engine inventory (§5 slice 1)

Browse source 
[skip-docs] internal plumbing — standalone store, no command/agent/pipeline
surface change until slice 2 wiring (mirrors specifics-bank slice 2). CLAUDE.md
"Telling"/counts untouched; lint stays 84/0/0.

Research-engine §5 (foundation layer) slice 1: the deterministic STORE half of
the persistent trend store — a topic-tagged, provenance-bearing inventory of
trend signals captured over time, so the research engine accumulates HISTORY
instead of starting amnesiac each session. Trend-side twin of the lived-specifics
bank (same store/dedup/query discipline; dedupe key is normalized title+URL, not
free-text content). Generic by architecture: nothing niche-specific lives here —
topics and source are free-form, decided upstream via config/profile.

scripts/trends/ (sibling to specifics-bank, same tsx convention):
- src/types.ts — TrendRecord/TrendStore schema (schemaVersion 1), minimal
  generic core: title, url, source, capturedAt, topics[], optional summary
- src/store.ts — pure store: normalizeField, title+url-hash id (= dedupe key),
  load/save, addTrend (dedupe + topic union on re-capture; first-sighting
  source/capturedAt kept), queryByTopic (overlap-ranked then recency), history
  (time-scoped, since/limit)
- src/cli.ts — add / query / list; default store under
  ${LINKEDIN_STUDIO_DATA:-~/.claude/linkedin-studio}/trends/ so trend history
  survives plugin upgrades/reinstalls (M0 data-path seam)
- tests/store.test.ts — 21/21 green; tsc clean
- README + .gitignore for node_modules/build

Capture/scoring agent + MCP-first routing land in slice 2; the CI binding guard
is deferred to wiring, mirroring the specifics-bank timeline.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Kjell Tore Guttormsen 2026-06-21 19:08:21 +02:00
commit be21788321
9 changed files with 1343 additions and 0 deletions
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@ -61,6 +61,8 @@ scripts/contract-gate/node_modules/
scripts/contract-gate/build/ scripts/contract-gate/build/
scripts/specifics-bank/node_modules/ scripts/specifics-bank/node_modules/
scripts/specifics-bank/build/ scripts/specifics-bank/build/
scripts/trends/node_modules/
scripts/trends/build/
# --- session/local state --- # --- session/local state ---
# STATE.md is LOCAL-ONLY (gitignored): no private remote exists and STATE must # STATE.md is LOCAL-ONLY (gitignored): no private remote exists and STATE must

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# linkedin-trends-store
Persistent **trend store** — the foundation layer of the research engine
(retning §5). A topic-tagged, provenance-bearing inventory of trend signals
captured over time, so the engine accumulates **history** instead of starting
amnesiac each session.
Twin of [`scripts/specifics-bank`](../specifics-bank): same deterministic
store / dedup / query discipline, different dedupe key — a trend is identified by
its **normalized title+URL**, not by free-text content.
## Generic by architecture
Nothing niche-specific lives here. A `TrendRecord` carries free-form `topics`
tags and a free-form `source` string; *which* topics matter and *which* sources
to poll are decided upstream (config/profile + the capture agent), never
hard-coded in this module. The same store serves any niche.
## Data location
The store lives under the per-user data dir (M0 data-path convention), so trend
history survives plugin upgrades/reinstalls:
```
${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/trends/trends.json
```
`LINKEDIN_STUDIO_DATA` overrides the root. No path is hard-coded in prose.
## Record shape (minimal generic core)
```ts
interface TrendRecord {
id: string; // sha256(normalized title+url).slice(0,12) — also the dedupe key
title: string; // headline, verbatim
url: string; // source URL, verbatim
source: string; // "tavily" | "websearch" | "manual" | <mcp-name>
capturedAt: string; // ISO-8601 date
topics: string[]; // query tags; unioned across re-captures
summary?: string; // optional, verbatim
}
```
Fields (relevance score, first-mover timing, status) can be added in a later
slice without breaking the shape.
## CLI
```bash
# Capture a freshly-polled trend (dedupes on title+url; unions topics on re-capture)
node --import tsx src/cli.ts add \
--title "Agentic workflows hit production" \
--url "https://example.com/agentic" \
--topics "agents,engineering" --source tavily \
--summary "Teams ship multi-step agents past the demo stage."
# Topic-scoped history — trends matching these topics, ranked by overlap then recency
node --import tsx src/cli.ts query --topics "agents,engineering" [--json]
# Time-scoped history — newest first, optionally windowed/capped
node --import tsx src/cli.ts list [--since 2026-06-01] [--limit 10] [--json]
```
Re-running `add` with the same title+url never appends a duplicate.
## Tests
```bash
cd scripts/trends
npm install
npm test # deterministic store: normalize/id, load/save, dedup+union, query, history
npm run build
```

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}

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{
"name": "linkedin-trends-store",
"version": "0.1.0",
"type": "module",
"description": "Persistent trend store (research-engine §5, foundation layer) — a topic-tagged, provenance-bearing inventory of captured trend signals so the research engine accumulates history instead of starting amnesiac each session. Fully generic: nothing niche-specific lives here. Deterministic store + dedup + query; the capture/scoring lives in the agent/command layer.",
"scripts": {
"build": "tsc",
"test": "node --import tsx --test tests/*.test.ts",
"start": "node --import tsx src/cli.ts"
},
"devDependencies": {
"@types/node": "^22.0.0",
"tsx": "^4.19.0",
"typescript": "^5.7.0"
}
}

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#!/usr/bin/env node
/**
* CLI for the persistent trend store (research-engine §5, foundation layer).
*
* node --import tsx src/cli.ts add --title "<t>" --url "<u>" --topics <a,b>
* [--source <s>] [--summary "<s>"] [--store <path>]
* node --import tsx src/cli.ts query --topics <a,b> [--store <path>] [--json]
* node --import tsx src/cli.ts list [--since <YYYY-MM-DD>] [--limit <n>] [--store <path>] [--json]
*
* The capture agent (research-engine) calls `add` to fold a freshly-polled trend
* into the store, and `query`/`list` to reason over accumulated history. The
* polling + relevance-scoring itself lives upstream; this is the deterministic store.
*
* Exit code: 0 on success, 2 on usage error.
*/
import {
addTrend,
defaultStorePath,
history,
loadStore,
queryByTopic,
saveStore,
} from "./store.js";
function parseFlags(args: string[]): Record<string, string> {
const out: Record<string, string> = {};
for (let i = 0; i < args.length; i++) {
const a = args[i];
if (a.startsWith("--")) {
const key = a.slice(2);
const next = args[i + 1];
if (next === undefined || next.startsWith("--")) {
out[key] = "true";
} else {
out[key] = next;
i++;
}
}
}
return out;
}
function splitTopics(raw: string | undefined): string[] {
if (!raw) return [];
return raw
.split(",")
.map((t) => t.trim())
.filter((t) => t.length > 0);
}
function usage(msg: string): never {
console.error(`error: ${msg}`);
console.error(
"usage:\n" +
' add --title "<t>" --url "<u>" --topics <a,b> [--source <s>] [--summary "<s>"] [--store <path>]\n' +
" query --topics <a,b> [--store <path>] [--json]\n" +
" list [--since <YYYY-MM-DD>] [--limit <n>] [--store <path>] [--json]",
);
process.exit(2);
}
function today(): string {
return new Date().toISOString().slice(0, 10);
}
function main(): void {
const [command, ...rest] = process.argv.slice(2);
const flags = parseFlags(rest);
const storePath = flags.store ?? defaultStorePath();
const asJson = flags.json === "true";
if (command === "add") {
const title = flags.title;
if (!title || title === "true") usage('add needs --title "<text>"');
const url = flags.url;
if (!url || url === "true") usage('add needs --url "<url>"');
const topics = splitTopics(flags.topics);
if (topics.length === 0) usage("add needs --topics <a,b>");
const store = loadStore(storePath);
const res = addTrend(store, {
title,
url,
source: flags.source && flags.source !== "true" ? flags.source : "manual",
capturedAt: today(),
topics,
...(flags.summary && flags.summary !== "true" ? { summary: flags.summary } : {}),
});
saveStore(storePath, res.store);
if (res.added) {
console.log(`Added: ${title}`);
} else {
console.log(`Duplicate — already in store${res.merged ? " (topics unioned)" : ""}: ${title}`);
}
console.log(`Store: ${storePath} (${res.store.trends.length} trends)`);
return;
}
if (command === "query") {
const topics = splitTopics(flags.topics);
if (topics.length === 0) usage("query needs --topics <a,b>");
const hits = queryByTopic(loadStore(storePath), topics);
if (asJson) {
console.log(JSON.stringify(hits, null, 2));
return;
}
if (hits.length === 0) {
console.log(`No trends found for topics: ${topics.join(", ")}`);
console.log("→ poll fresh signals (research engine), then `add` them.");
return;
}
console.log(`${hits.length} trend(s) for: ${topics.join(", ")}`);
for (const { trend, topicOverlap } of hits) {
console.log(`\n · (overlap ${topicOverlap}) ${trend.title}`);
console.log(` ${trend.url}`);
console.log(` topics: ${trend.topics.join(", ")} — ${trend.source}, ${trend.capturedAt}`);
if (trend.summary) console.log(` ${trend.summary}`);
}
return;
}
if (command === "list") {
const opts: { since?: string; limit?: number } = {};
if (flags.since && flags.since !== "true") opts.since = flags.since;
if (flags.limit && flags.limit !== "true") {
const n = Number.parseInt(flags.limit, 10);
if (Number.isNaN(n) || n < 0) usage("--limit must be a non-negative integer");
opts.limit = n;
}
const rows = history(loadStore(storePath), opts);
if (asJson) {
console.log(JSON.stringify(rows, null, 2));
return;
}
const scope = opts.since ? ` since ${opts.since}` : "";
console.log(`Store: ${storePath} — ${rows.length} trend(s)${scope}`);
for (const t of rows) {
console.log(` · ${t.capturedAt} ${t.title} {${t.topics.join(", ")}}`);
}
return;
}
usage(command ? `unknown command: ${command}` : "no command given");
}
main();

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/**
* Deterministic store + query for the persistent trend store (research-engine §5).
*
* Pure where it matters: id derivation, dedupe, topic query, and history are
* side-effect-free and fully testable. Only loadStore/saveStore touch the
* filesystem. No AI, no network — this module is reliable inventory, not a
* creatively-interpreted blob. The capture that POPULATES the store (polling
* research MCPs / web search, scoring relevance) lives in the agent/command
* layer; this module only stores, dedupes, and serves trend signals.
*
* Twin of scripts/specifics-bank/src/bank.ts — same discipline, different
* dedupe key (normalized title+URL instead of free-text content).
*/
import { readFileSync, writeFileSync, existsSync, mkdirSync } from "node:fs";
import { dirname, join } from "node:path";
import { homedir } from "node:os";
import { createHash } from "node:crypto";
import { SCHEMA_VERSION } from "./types.js";
import type { TrendStore, TrendRecord, TrendQueryHit } from "./types.js";
export { SCHEMA_VERSION } from "./types.js";
/** What a caller supplies to addTrend — the id is derived, never passed in. */
export interface TrendInput {
title: string;
url: string;
source: string;
capturedAt: string;
topics: string[];
summary?: string;
}
export interface AddResult {
store: TrendStore;
/** true iff a new trend was appended (false = duplicate title+url). */
added: boolean;
/** true iff an existing duplicate gained new topic tags via union. */
merged: boolean;
}
/** Options for a recency-ordered history slice. */
export interface HistoryOptions {
/** Inclusive lower bound on capturedAt (ISO date); older trends are excluded. */
since?: string;
/** Cap on the number of returned trends (newest kept). */
limit?: number;
}
/** Lowercase + trim + collapse all whitespace runs to a single space. */
export function normalizeField(value: string): string {
return value.trim().toLowerCase().replace(/\s+/g, " ");
}
/**
* Stable id = first 12 hex of sha256(normalized title + "\n" + normalized url);
* also the dedupe key. The URL is folded to lowercase too: host case is
* insignificant, and the combined title+url key makes a false merge on a
* case-only path difference vanishingly unlikely. Richer URL canonicalization
* (trailing-slash / query-param stripping) is deferred to a later slice if
* dedup ever proves leaky.
*/
export function trendId(title: string, url: string): string {
const key = normalizeField(title) + "\n" + normalizeField(url);
return createHash("sha256").update(key).digest("hex").slice(0, 12);
}
export function emptyStore(): TrendStore {
return { schemaVersion: SCHEMA_VERSION, trends: [] };
}
/** Read the store; a missing file is an empty store (never throws on absence). */
export function loadStore(path: string): TrendStore {
if (!existsSync(path)) return emptyStore();
const parsed = JSON.parse(readFileSync(path, "utf8")) as Partial<TrendStore>;
return {
schemaVersion: parsed.schemaVersion ?? SCHEMA_VERSION,
trends: Array.isArray(parsed.trends) ? parsed.trends : [],
};
}
/** Write the store as pretty JSON, creating the parent dir if needed. */
export function saveStore(path: string, store: TrendStore): void {
mkdirSync(dirname(path), { recursive: true });
writeFileSync(path, JSON.stringify(store, null, 2) + "\n", "utf8");
}
/** Union of two tag lists, order-stable on the first list, case-insensitive dedupe. */
function unionTopics(existing: string[], incoming: string[]): { topics: string[]; changed: boolean } {
const seen = new Set(existing.map((t) => t.toLowerCase()));
const topics = [...existing];
let changed = false;
for (const t of incoming) {
if (!seen.has(t.toLowerCase())) {
seen.add(t.toLowerCase());
topics.push(t);
changed = true;
}
}
return { topics, changed };
}
/**
* Add a trend, deduping on normalized title+url. A duplicate does not append a
* second entry — instead its topic tags are unioned in, so the same trend
* re-surfaced under a new edition's topics enriches the existing record. The
* FIRST sighting's source + capturedAt are kept (provenance of first sight);
* title/url/summary are stored VERBATIM, only the id is normalized.
*/
export function addTrend(store: TrendStore, input: TrendInput): AddResult {
const id = trendId(input.title, input.url);
const existing = store.trends.find((t) => t.id === id);
if (existing) {
const { topics, changed } = unionTopics(existing.topics, input.topics);
existing.topics = topics;
return { store, added: false, merged: changed };
}
const trend: TrendRecord = {
id,
title: input.title,
url: input.url,
source: input.source,
capturedAt: input.capturedAt,
topics: [...input.topics],
...(input.summary !== undefined ? { summary: input.summary } : {}),
};
store.trends.push(trend);
return { store, added: true, merged: false };
}
/**
* Trends whose topics overlap the query, ranked by overlap (desc) then recency
* (capturedAt desc). Topic matching is case-insensitive. Non-matches are
* excluded.
*/
export function queryByTopic(store: TrendStore, topics: string[]): TrendQueryHit[] {
const wanted = topics.map((t) => t.toLowerCase());
const hits: TrendQueryHit[] = [];
for (const trend of store.trends) {
const have = new Set(trend.topics.map((t) => t.toLowerCase()));
const topicOverlap = wanted.reduce((n, t) => (have.has(t) ? n + 1 : n), 0);
if (topicOverlap > 0) hits.push({ trend, topicOverlap });
}
hits.sort(
(a, b) => b.topicOverlap - a.topicOverlap || b.trend.capturedAt.localeCompare(a.trend.capturedAt),
);
return hits;
}
/**
* Trend history, newest first. Optionally filtered to capturedAt >= `since`
* (inclusive) and capped to `limit`. The time-scoped complement to
* queryByTopic's topic-scoped view; together they are the "historikk-query".
*/
export function history(store: TrendStore, opts: HistoryOptions = {}): TrendRecord[] {
let out = [...store.trends];
if (opts.since !== undefined) out = out.filter((t) => t.capturedAt >= opts.since!);
out.sort((a, b) => b.capturedAt.localeCompare(a.capturedAt));
if (opts.limit !== undefined) out = out.slice(0, opts.limit);
return out;
}
/**
* Default store path under the per-user data dir (M0 data-path convention), so
* the trend history survives plugin upgrades/reinstalls. `LINKEDIN_STUDIO_DATA`
* overrides the root; otherwise `~/.claude/linkedin-studio`.
*/
export function defaultStorePath(): string {
const root = process.env.LINKEDIN_STUDIO_DATA ?? join(homedir(), ".claude", "linkedin-studio");
return join(root, "trends", "trends.json");
}

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/**
* Types for the persistent trend store (research-engine §5, foundation layer).
*
* The store is the research engine's accumulating memory: a topic-tagged,
* provenance-bearing inventory of trend signals captured over time, so the
* engine reasons over HISTORY instead of starting amnesiac each session. It is
* the trend-side twin of the lived-specifics bank (scripts/specifics-bank):
* same deterministic store/dedup/query discipline, different dedupe key
* (normalized title+URL, since a trend is identified by its headline+source,
* not by free-text content).
*
* GENERIC BY ARCHITECTURE (retning §5 — nisje-agnostisk motor): nothing
* niche-specific lives in this module. A `TrendRecord` carries free-form
* `topics` tags and a free-form `source` string; which topics matter and which
* sources to poll are decided upstream (config/profile + the capture agent),
* never hard-coded here. The same store serves any niche.
*
* Forward-compatible with the profile-evolution / "second brain" architecture:
* a typed store in the per-user data dir (`${LINKEDIN_STUDIO_DATA}`), so the
* trend history survives plugin upgrades/reinstalls via the M0 data-path seam.
* The minimal core here (title, url, source, capturedAt, topics, optional
* summary) can gain fields (relevance score, first-mover timing, status) in a
* later slice without breaking the shape.
*/
export interface TrendRecord {
/** Stable id — a short hash of the normalized title+url; doubles as the dedupe key. */
id: string;
/** The trend headline, stored VERBATIM (normalized only to derive the id). */
title: string;
/** The source URL, stored VERBATIM (normalized only to derive the id). */
url: string;
/** Capture origin: a research-MCP name (e.g. "tavily"), "websearch", or "manual". */
source: string;
/** ISO-8601 date the trend was captured. Supplied by the caller (CLI edge). */
capturedAt: string;
/** Topic tags for query-by-topic. Unioned across re-captures of the same trend. */
topics: string[];
/** Optional short summary of the trend, stored VERBATIM. */
summary?: string;
}
export interface TrendStore {
schemaVersion: number;
trends: TrendRecord[];
}
/** A query hit: the trend plus how many of the queried topics it matched. */
export interface TrendQueryHit {
trend: TrendRecord;
/** Number of queried topics present on the trend (≥1 for a hit). */
topicOverlap: number;
}
export const SCHEMA_VERSION = 1;

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import { describe, test } from "node:test";
import assert from "node:assert/strict";
import { mkdtempSync, rmSync, existsSync } from "node:fs";
import { join } from "node:path";
import { tmpdir } from "node:os";
import {
normalizeField,
trendId,
emptyStore,
loadStore,
saveStore,
addTrend,
queryByTopic,
history,
} from "../src/store.js";
import { SCHEMA_VERSION } from "../src/types.js";
import type { TrendStore } from "../src/types.js";
const tmp = () => mkdtempSync(join(tmpdir(), "trends-store-"));
describe("trends store", () => {
describe("normalizeField + trendId", () => {
test("normalizeField collapses whitespace + lowercases", () => {
assert.equal(normalizeField(" AI Trends\n2026 "), "ai trends 2026");
});
test("id is deterministic and (title+url)-derived", () => {
assert.equal(
trendId("AI agents go mainstream", "https://example.com/a"),
trendId("AI agents go mainstream", "https://example.com/a"),
);
});
test("id is stable across case + surrounding/collapsed whitespace in title AND url", () => {
const a = trendId("AI agents go mainstream", "https://example.com/article");
const b = trendId(" ai AGENTS go mainstream ", " HTTPS://EXAMPLE.COM/article ");
assert.equal(a, b, "normalization should collapse case + whitespace on both fields");
});
test("different title yields a different id (same url)", () => {
assert.notEqual(
trendId("AI agents go mainstream", "https://example.com/a"),
trendId("AI copilots go mainstream", "https://example.com/a"),
);
});
test("different url yields a different id (same title)", () => {
assert.notEqual(
trendId("Same headline", "https://example.com/a"),
trendId("Same headline", "https://example.com/b"),
);
});
});
describe("emptyStore + load/save round-trip", () => {
test("emptyStore has the schema version and no trends", () => {
const s = emptyStore();
assert.equal(s.schemaVersion, SCHEMA_VERSION);
assert.deepEqual(s.trends, []);
});
test("loadStore on a missing file returns an empty store (never throws)", () => {
const dir = tmp();
try {
const s = loadStore(join(dir, "does-not-exist.json"));
assert.equal(s.schemaVersion, SCHEMA_VERSION);
assert.deepEqual(s.trends, []);
} finally {
rmSync(dir, { recursive: true, force: true });
}
});
test("saveStore creates the parent dir, then loadStore round-trips", () => {
const dir = tmp();
const path = join(dir, "nested", "trends.json");
try {
let store: TrendStore = emptyStore();
store = addTrend(store, {
title: "Norway opens public-sector AI sandbox",
url: "https://example.com/sandbox",
source: "tavily",
capturedAt: "2026-06-20",
topics: ["public-sector", "ai-policy"],
summary: "A regulatory sandbox for public bodies.",
}).store;
saveStore(path, store);
assert.ok(existsSync(path));
const loaded = loadStore(path);
assert.equal(loaded.trends.length, 1);
assert.equal(loaded.trends[0].title, "Norway opens public-sector AI sandbox");
assert.equal(loaded.trends[0].source, "tavily");
assert.equal(loaded.trends[0].summary, "A regulatory sandbox for public bodies.");
} finally {
rmSync(dir, { recursive: true, force: true });
}
});
});
describe("addTrend", () => {
test("adds a new trend with a computed id and reports added:true", () => {
const res = addTrend(emptyStore(), {
title: "Agentic workflows hit production",
url: "https://example.com/agentic",
source: "websearch",
capturedAt: "2026-06-20",
topics: ["agents", "engineering"],
});
assert.equal(res.added, true);
assert.equal(res.merged, false);
assert.equal(res.store.trends.length, 1);
assert.equal(res.store.trends[0].id, trendId(res.store.trends[0].title, res.store.trends[0].url));
});
test("preserves title/url/summary verbatim (normalizes only for the id)", () => {
const title = " Mixed CASE Headline ";
const url = " https://EXAMPLE.com/Path ";
const summary = " A summary with spacing. ";
const res = addTrend(emptyStore(), {
title,
url,
source: "manual",
capturedAt: "2026-06-20",
topics: ["x"],
summary,
});
assert.equal(res.store.trends[0].title, title, "title must not be mutated");
assert.equal(res.store.trends[0].url, url, "url must not be mutated");
assert.equal(res.store.trends[0].summary, summary, "summary must not be mutated");
});
test("omitting summary stores no summary key", () => {
const res = addTrend(emptyStore(), {
title: "No summary here",
url: "https://example.com/n",
source: "manual",
capturedAt: "2026-06-20",
topics: ["x"],
});
assert.equal("summary" in res.store.trends[0], false);
});
test("dedupes on normalized title+url: same trend twice → one entry, topics unioned", () => {
let store = emptyStore();
store = addTrend(store, {
title: "Reasoning models reshape RAG",
url: "https://example.com/rag",
source: "tavily",
capturedAt: "2026-06-19",
topics: ["rag"],
}).store;
const res2 = addTrend(store, {
title: " reasoning MODELS reshape rag ",
url: " HTTPS://EXAMPLE.COM/rag ",
source: "gemini",
capturedAt: "2026-06-20",
topics: ["search", "rag"],
});
assert.equal(res2.added, false, "duplicate title+url must not add a second entry");
assert.equal(res2.merged, true, "new topics on a duplicate must report merged:true");
assert.equal(res2.store.trends.length, 1);
assert.deepEqual(
[...res2.store.trends[0].topics].sort(),
["rag", "search"],
"topics must be unioned on re-capture",
);
});
test("a duplicate keeps the first sighting's source + capturedAt (provenance of first sight)", () => {
let store = emptyStore();
store = addTrend(store, {
title: "Same trend",
url: "https://example.com/s",
source: "first-source",
capturedAt: "2026-06-01",
topics: ["a"],
}).store;
store = addTrend(store, {
title: "Same trend",
url: "https://example.com/s",
source: "second-source",
capturedAt: "2026-06-20",
topics: ["b"],
}).store;
assert.equal(store.trends[0].source, "first-source");
assert.equal(store.trends[0].capturedAt, "2026-06-01");
});
test("a duplicate with no new topics reports merged:false", () => {
let store = emptyStore();
store = addTrend(store, {
title: "Stable trend",
url: "https://example.com/st",
source: "tavily",
capturedAt: "2026-06-01",
topics: ["a", "b"],
}).store;
const res2 = addTrend(store, {
title: "Stable trend",
url: "https://example.com/st",
source: "tavily",
capturedAt: "2026-06-02",
topics: ["b", "a"],
});
assert.equal(res2.added, false);
assert.equal(res2.merged, false, "no new tags → merged:false");
});
});
describe("queryByTopic", () => {
const seed = (): TrendStore => {
let store = emptyStore();
store = addTrend(store, {
title: "Trend A",
url: "https://example.com/a",
source: "tavily",
capturedAt: "2026-05-01",
topics: ["agents", "engineering"],
}).store;
store = addTrend(store, {
title: "Trend B",
url: "https://example.com/b",
source: "tavily",
capturedAt: "2026-06-01",
topics: ["agents", "engineering", "public-sector"],
}).store;
store = addTrend(store, {
title: "Trend C",
url: "https://example.com/c",
source: "manual",
capturedAt: "2026-06-10",
topics: ["privacy"],
}).store;
return store;
};
test("ranks hits by topic overlap (desc)", () => {
// B carries both queried topics; A carries only "agents" → distinct overlaps.
const hits = queryByTopic(seed(), ["agents", "public-sector"]);
assert.equal(hits.length, 2);
assert.equal(hits[0].trend.title, "Trend B"); // overlap 2
assert.equal(hits[0].topicOverlap, 2);
assert.equal(hits[1].trend.title, "Trend A"); // overlap 1 (agents only)
assert.equal(hits[1].topicOverlap, 1);
});
test("matching is case-insensitive on topics", () => {
const hits = queryByTopic(seed(), ["AGENTS"]);
assert.equal(hits.length, 2);
});
test("returns [] when nothing matches", () => {
assert.deepEqual(queryByTopic(seed(), ["nothing"]), []);
});
test("ties on overlap are broken by capturedAt (newest first)", () => {
const hits = queryByTopic(seed(), ["agents"]); // A and B both overlap 1
assert.equal(hits[0].trend.title, "Trend B"); // 2026-06-01 newer than 2026-05-01
assert.equal(hits[1].trend.title, "Trend A");
});
});
describe("history", () => {
const seed = (): TrendStore => {
let store = emptyStore();
for (const [title, capturedAt] of [
["Oldest", "2026-04-01"],
["Middle", "2026-05-01"],
["Newest", "2026-06-01"],
] as const) {
store = addTrend(store, {
title,
url: `https://example.com/${title}`,
source: "tavily",
capturedAt,
topics: ["x"],
}).store;
}
return store;
};
test("returns all trends newest-first", () => {
const h = history(seed());
assert.deepEqual(h.map((t) => t.title), ["Newest", "Middle", "Oldest"]);
});
test("respects an inclusive `since` filter", () => {
const h = history(seed(), { since: "2026-05-01" });
assert.deepEqual(h.map((t) => t.title), ["Newest", "Middle"]);
});
test("respects `limit`", () => {
const h = history(seed(), { limit: 1 });
assert.deepEqual(h.map((t) => t.title), ["Newest"]);
});
});
});

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{
"compilerOptions": {
"target": "ES2022",
"module": "Node16",
"moduleResolution": "Node16",
"outDir": "./build",
"rootDir": "./src",
"strict": true,
"esModuleInterop": true,
"skipLibCheck": true,
"forceConsistentCasingInFileNames": true,
"declaration": true
},
"include": ["src/**/*"],
"exclude": ["node_modules", "build", "tests"]
}