Source code
Revision control
Copy as Markdown
Other Tools
Test Info:
"use strict";
// --- imports (adjust path if needed) ---
ChromeUtils.defineESModuleGetters(this, {
scoreItemInferred:
});
// ---------- scoreItemInferred tests ----------
add_task(
async function test_scoreItemInferred_combines_normalized_local_and_server() {
const inferredInterests = {
parenting: 0.6, // float
news_reader: 0.2, // float
clicks: 2, // integer → excluded from inferred_norm
};
const weights = {
local: 0.6, // 60%
server: 0.4, // 40%
inferred_norm: 0.8, // 0.6 + 0.2 (floats only)
};
const item = {
id: "a1",
section: "top_stories_section",
item_score: 0,
server_score: 0.5,
features: { s_parenting: 1, s_news_reader: 1, other: 1 },
};
const ret = await scoreItemInferred(item, inferredInterests, weights);
Assert.strictEqual(ret, item, "returns same object");
// inferred_score = 0.6 + 0.2 = 0.8
// score = 0.60 * 0.8 / (0.8 + 1e-6) + 0.40 * 0.5
const expected = (0.6 * 0.8) / (0.8 + 1e-6) + 0.4 * 0.5;
Assert.greater(item.score, 0, "score is positive");
Assert.less(
Math.abs(item.score - expected),
1e-6,
"score matches normalized formula with epsilon"
);
Assert.equal(item.score, item.item_score, "score mirrors item_score");
}
);
add_task(async function test_scoreItemInferred_server_nullish_is_zero() {
const inferredInterests = { tech: 0.8 };
const weights = { local: 1.0, server: 0.4, inferred_norm: 0.8 };
const item = {
id: "a2",
section: "top_stories_section",
features: { s_tech: 1 },
// merino_score is undefined → should default to 0
};
await scoreItemInferred(item, inferredInterests, weights);
// inferred_score = 0.8; merino term = 0
const expected = (1.0 * 0.8) / (0.8 + 1e-6) + 0.4 * 0;
Assert.less(Math.abs(item.score - expected), 1e-6, "merino nullish → 0");
});