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🧹 Extract evaluation aggregation logic into functional mappings

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Refactored `evalAgg` in `src/engine/evaluator.ts` to use a lookup table
`AGG_FUNCS` for individual calculations (`min`, `max`, `sum`, `avg`,
`count`, `product`, `chart`), and abstracted line-gathering logic to
`getAggBlock` and `getPrevResult`.

Co-authored-by: Horizontal42 <75383519+Horizontal42@users.noreply.github.com>
This commit is contained in:
google-labs-jules[bot] 2026-07-28 23:43:14 +00:00
parent f5b1fc038b
commit aced473cdd
1 changed files with 66 additions and 45 deletions
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105
src/engine/evaluator.ts
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@ -466,15 +466,66 @@ function evalGoalSeek(lhsNode: Node, rhsNode: Node, ctx: EvalCtx): Value {
return qty(lo.plus(hi).div(2));
}
function evalAgg(name: "sum" | "avg" | "prev" | "count" | "min" | "max" | "product" | "chart", ctx: EvalCtx): Value {
const { lineValues, lineKinds, index } = ctx.line;
if (name === "prev") {
const AGG_FUNCS: Record<string, (block: Quantity[]) => Value> = {
count: (block) => qty(new Decimal(block.length)),
chart: (block) => {
const refDim = block[0].unit?.dimension ?? null;
const compatible = block.filter((q) => (q.unit?.dimension ?? null) === refDim);
if (compatible.length < 2) throw new EvalError("need at least 2 values for chart");
return {
kind: "chart",
points: compatible.map((q) => toBase(q)),
unitLabel: block[0].unit?.format ?? null,
};
},
min: (block) => {
const refDim = block[0].unit?.dimension ?? null;
const compatible = block.filter((q) => (q.unit?.dimension ?? null) === refDim);
return compatible.reduce((best, q) => toBase(q).lt(toBase(best)) ? q : best);
},
max: (block) => {
const refDim = block[0].unit?.dimension ?? null;
const compatible = block.filter((q) => (q.unit?.dimension ?? null) === refDim);
return compatible.reduce((best, q) => toBase(q).gt(toBase(best)) ? q : best);
},
product: (block) => qty(block.reduce((acc, q) => acc.mul(q.value), new Decimal(1))),
sum: (block) => {
let acc = block[0];
for (let i = 1; i < block.length; i++) {
try {
acc = numericAdd(acc, block[i], 1);
} catch {
// skip lines with incompatible dimensions
}
}
return acc;
},
avg: (block) => {
let acc = block[0];
let counted = 1;
for (let i = 1; i < block.length; i++) {
try {
acc = numericAdd(acc, block[i], 1);
counted++;
} catch {
// skip lines with incompatible dimensions
}
}
return qty(acc.value.div(counted), acc.unit);
}
};
function getPrevResult(ctx: EvalCtx): Value {
const { lineValues, index } = ctx.line;
for (let i = index - 1; i >= 0; i--) {
const v = lineValues[i];
if (v) return v;
}
throw new EvalError("no previous result");
}
}
function getAggBlock(ctx: EvalCtx): Quantity[] {
const { lineValues, lineKinds, index } = ctx.line;
const block: Quantity[] = [];
for (let i = index - 1; i >= 0; i--) {
if (lineKinds[i] === "empty" || lineKinds[i] === "header") {
@ -487,45 +538,15 @@ function evalAgg(name: "sum" | "avg" | "prev" | "count" | "min" | "max" | "produ
}
if (block.length === 0) throw new EvalError("nothing to aggregate");
block.reverse();
return block;
}
if (name === "count") return qty(new Decimal(block.length));
if (name === "chart") {
const refDim = block[0].unit?.dimension ?? null;
const compatible = block.filter((q) => (q.unit?.dimension ?? null) === refDim);
if (compatible.length < 2) throw new EvalError("need at least 2 values for chart");
return {
kind: "chart",
points: compatible.map((q) => toBase(q)),
unitLabel: block[0].unit?.format ?? null,
};
}
if (name === "min" || name === "max") {
const refDim = block[0].unit?.dimension ?? null;
const compatible = block.filter((q) => (q.unit?.dimension ?? null) === refDim);
return compatible.reduce((best, q) =>
(name === "min" ? toBase(q).lt(toBase(best)) : toBase(q).gt(toBase(best))) ? q : best
);
}
if (name === "product") {
return qty(block.reduce((acc, q) => acc.mul(q.value), new Decimal(1)));
}
let acc = block[0];
let counted = 1;
for (let i = 1; i < block.length; i++) {
const item = block[i];
try {
acc = numericAdd(acc, item, 1);
counted++;
} catch {
// skip lines with incompatible dimensions
}
}
if (name === "avg") return qty(acc.value.div(counted), acc.unit);
return acc;
function evalAgg(name: "sum" | "avg" | "prev" | "count" | "min" | "max" | "product" | "chart", ctx: EvalCtx): Value {
if (name === "prev") return getPrevResult(ctx);
const block = getAggBlock(ctx);
const func = AGG_FUNCS[name];
if (!func) throw new EvalError(`unknown aggregate function ${name}`);
return func(block);
}
function evalCall(name: string, args: Value[], ctx: EvalCtx): Value {