import { coerce, compare, compileModel, compose, concat, conditional, createModel, evaluate, format, key, logicalAnd, match, numericRules, pick, pluck, spread, template, value, when, } from "@spaceteams/weft"; import { describe, expect, it } from "vitest"; const n = numericRules; describe("mixed numeric + string model", () => { const firstName = key("first_name"); const lastName = key("last_name"); const age = key("age"); const salary = key("salary"); const bonus = key("bonus"); const totalComp = key("total_comp"); const isAdult = key("is_adult"); const fullName = key("full_name"); const greeting = key("greeting"); const compDisplay = key("comp_display"); const m = createModel(); m.input(firstName); m.input(lastName); m.input(age); m.input(salary); m.input(bonus); m.rule(n.sum(totalComp, [salary, bonus]), { label: "Total Compensation" }); m.rule(compare(isAdult, age, value(18), "gte")); m.rule(concat(fullName, [firstName, lastName], " ")); m.rule( template(greeting, "Hello, {full_name}! You are {age} years old.", { full_name: fullName, age, }), ); m.rule(format(compDisplay, totalComp, (v) => `$${v.toLocaleString("en-US")}`)); const compiled = compileModel(m.build()); if (!compiled.ok) throw new Error(compiled.issues.map((i) => i.message).join()); const model = compiled.model; it("evaluates a model mixing numeric and string rules", () => { const result = evaluate(model, { first_name: "Alice", last_name: "Smith", age: 30, salary: 75000, bonus: 5000, }); expect(result.values.get("total_comp")).toBe(80000); expect(result.values.get("is_adult")).toBe(true); expect(result.values.get("full_name")).toBe("Alice Smith"); expect(result.values.get("greeting")).toBe("Hello, Alice Smith! You are 30 years old."); expect(result.values.get("comp_display")).toBe("$80,000"); }); }); describe("numericRules + match + compose", () => { const age = key("age"); const yearsOfService = key("years_of_service"); const baseSalary = key("base_salary"); const bonusRate = key("bonus_rate"); const bonus = key("bonus"); const totalComp = key("total_comp"); const summary = key<{ name: string; total: number; tier: string }>("summary"); const name = key("name"); const tier = key("tier"); const m = createModel(); m.input(age); m.input(yearsOfService); m.input(baseSalary); m.input(name); // Decision table for bonus rate based on tenure m.rule( match(bonusRate, { name: "bonus-rates", rows: [ { id: "veteran", when: [when(yearsOfService).gte(10)], output: value(0.2) }, { id: "experienced", when: [when(yearsOfService).gte(5)], output: value(0.1) }, { id: "new", when: [when(yearsOfService).lt(5)], output: value(0.05) }, ], }), ); // Decision table for tier label m.rule( match(tier, { name: "tier-labels", rows: [ { id: "senior", when: [when(yearsOfService).gte(10), when(age).gte(40)], output: value("Senior"), }, { id: "mid", when: [when(yearsOfService).gte(5)], output: value("Mid-Level") }, ], default: value("Junior"), }), ); m.rule(n.scale(bonus, baseSalary, bonusRate), { label: "Bonus" }); m.rule(n.sum(totalComp, [baseSalary, bonus]), { label: "Total Comp" }); m.rule(compose(summary, { name, total: totalComp, tier })); const compiled = compileModel(m.build()); if (!compiled.ok) throw new Error(compiled.issues.map((i) => i.message).join()); const model = compiled.model; it("veteran with high tenure gets 20% bonus", () => { const result = evaluate(model, { age: 45, years_of_service: 12, base_salary: 100000, name: "Bob", }); expect(result.values.get("bonus_rate")).toBe(0.2); expect(result.values.get("bonus")).toBe(20000); expect(result.values.get("total_comp")).toBe(120000); expect(result.values.get("tier")).toBe("Senior"); expect(result.values.get("summary")).toEqual({ name: "Bob", total: 120000, tier: "Senior", }); }); it("new hire gets 5% bonus and Junior tier", () => { const result = evaluate(model, { age: 25, years_of_service: 2, base_salary: 60000, name: "Carol", }); expect(result.values.get("bonus_rate")).toBe(0.05); expect(result.values.get("bonus")).toBe(3000); expect(result.values.get("total_comp")).toBe(63000); expect(result.values.get("tier")).toBe("Junior"); expect(result.values.get("summary")).toEqual({ name: "Carol", total: 63000, tier: "Junior", }); }); }); describe("object helpers: pluck + pick + spread", () => { const config = key<{ pricing: { rate: number; markup: number }; name: string }>("config"); const rate = key("rate"); const rateObj = key<{ rate: number }>("rate_obj"); const extra = key<{ region: string }>("extra"); const merged = key<{ rate: number; region: string }>("merged"); const m = createModel(); m.input(config); m.input(extra); m.rule(pluck(rate, config, ["pricing", "rate"])); m.rule(compose(rateObj, { rate })); m.rule(spread(merged, [rateObj, extra])); // Simpler version — just test pluck + pick const m2 = createModel(); const customer = key<{ name: string; age: number; email: string; address: { city: string } }>( "customer", ); const profile = key<{ name: string; email: string }>("profile"); const city = key("city"); m2.input(customer); m2.rule(pick(profile, customer, ["name", "email"])); m2.rule(pluck(city, customer, "address.city")); const compiled2 = compileModel(m2.build()); if (!compiled2.ok) throw new Error(compiled2.issues.map((i) => i.message).join()); const model2 = compiled2.model; it("pluck extracts deep path, pick extracts multiple fields", () => { const result = evaluate(model2, { customer: { name: "Alice", age: 30, email: "a@b.com", address: { city: "Berlin" } }, }); expect(result.values.get("profile")).toEqual({ name: "Alice", email: "a@b.com" }); expect(result.values.get("city")).toBe("Berlin"); }); }); describe("boolean logic pipeline", () => { const age = key("age"); const income = key("income"); const hasGoodCredit = key("has_good_credit"); const isAdult = key("is_adult"); const hasMinIncome = key("has_min_income"); const isEligible = key("is_eligible"); const result = key("result"); const m = createModel(); m.input(age); m.input(income); m.input(hasGoodCredit); m.rule(compare(isAdult, age, value(18), "gte")); m.rule(compare(hasMinIncome, income, value(30000), "gte")); m.rule(logicalAnd(isEligible, [isAdult, hasMinIncome, hasGoodCredit])); m.rule(conditional(result, isEligible, value("approved"), value("denied"))); const compiled = compileModel(m.build()); if (!compiled.ok) throw new Error(compiled.issues.map((i) => i.message).join()); const model = compiled.model; it("all conditions met → approved", () => { const r = evaluate(model, { age: 25, income: 50000, has_good_credit: true }); expect(r.values.get("is_eligible")).toBe(true); expect(r.values.get("result")).toBe("approved"); }); it("one condition fails → denied", () => { const r = evaluate(model, { age: 16, income: 50000, has_good_credit: true }); expect(r.values.get("is_eligible")).toBe(false); expect(r.values.get("result")).toBe("denied"); }); }); describe("coerce + format pipeline", () => { const rawAge = key("raw_age"); const age = key("age"); const isAdult = key("is_adult"); const label = key("label"); const m = createModel(); m.input(rawAge); m.rule(coerce(age, rawAge, (s) => Number.parseInt(s, 10))); m.rule(compare(isAdult, age, value(18), "gte")); m.rule(format(label, age, (v) => `Age: ${v}`)); const compiled = compileModel(m.build()); if (!compiled.ok) throw new Error(compiled.issues.map((i) => i.message).join()); const model = compiled.model; it("coerces string input and formats output", () => { const r = evaluate(model, { raw_age: "25" }); expect(r.values.get("age")).toBe(25); expect(r.values.get("is_adult")).toBe(true); expect(r.values.get("label")).toBe("Age: 25"); }); });