Files
Jyotisha/frontend/tests/consultation-context.test.ts
T
2026-08-14 20:22:52 +08:00

152 lines
7.6 KiB
TypeScript

import assert from "node:assert/strict";
import { readFileSync } from "node:fs";
import test from "node:test";
import { createConsultationPlan } from "../src/lib/consultation-plan.ts";
import { toAgentConsultationContext, toModelOutput } from "../src/mastra/consultation-workflow.ts";
test("passes transparent public-case references into the agent context", () => {
const workflowSource = readFileSync(new URL("../src/mastra/consultation-workflow.ts", import.meta.url), "utf8");
const agentSource = readFileSync(new URL("../src/mastra/index.ts", import.meta.url), "utf8");
assert.match(workflowSource, /reference_transparency:\s*record\(data\.reference_transparency\)/);
assert.match(workflowSource, /vedastro_gateway:\s*record\(data\.vedastro_gateway\)/);
assert.match(workflowSource, /ashtakavarga:\s*chart\.ashtakavarga/);
assert.match(agentSource, /high_similarity_public_references_available/);
assert.match(agentSource, /requested_uncovered_domains/);
assert.match(agentSource, /public_context_only/);
assert.match(agentSource, /timing_state/);
assert.match(agentSource, /partial_match/);
assert.match(agentSource, /narayana_status/);
assert.match(agentSource, /transit_status/);
assert.match(agentSource, /Jupiter and Saturn relative houses/);
assert.match(agentSource, /exact_triggers as technical trigger points/);
assert.match(agentSource, /production_tuning_allowed=false/);
assert.match(agentSource, /no_majority_vote/);
assert.match(agentSource, /method_variant_not_majority_vote/);
assert.match(agentSource, /Shadbala\/Ashtakavarga component differences/);
assert.match(agentSource, /D2, D11/);
assert.match(agentSource, /gender-specific spouse significators are supplements/);
assert.match(agentSource, /male.*Venus/);
assert.match(agentSource, /female.*Jupiter\/Mars/);
});
test("keeps strength, Ashtakavarga, and timing evidence available to the answer model", () => {
const workflowSource = readFileSync(new URL("../src/mastra/consultation-workflow.ts", import.meta.url), "utf8");
const agentSource = readFileSync(new URL("../src/mastra/index.ts", import.meta.url), "utf8");
assert.match(workflowSource, /shadbala: chart\.shadbala/);
assert.match(workflowSource, /shadbala_boundary:/);
assert.match(workflowSource, /ashtakavarga: modules\.ashtakavarga/);
assert.match(workflowSource, /dasha_boundaries: modules\.dasha_boundaries/);
assert.match(workflowSource, /narayana_dasha: modules\.narayana_dasha/);
assert.match(workflowSource, /evidence_contract:/);
assert.match(workflowSource, /missing_route_layers: consumerContext\.missing_route_layers/);
assert.match(workflowSource, /answer_policy: consumerContext\.answer_policy/);
assert.match(agentSource, /evidence_contract\.answer_policy/);
assert.match(agentSource, /can_answer_precise_timing/);
assert.match(workflowSource, /boundary: "not_auto_rectified"/);
assert.match(agentSource, /rectification\.boundary=not_auto_rectified/);
assert.match(workflowSource, /external_engine_evidence:/);
assert.match(workflowSource, /runtime_truth: record\(data\.runtime_truth\)/);
assert.match(workflowSource, /numerical_parity: record\(data\.external_parity_gate\)/);
assert.match(workflowSource, /real_case_calibration: record\(data\.real_case_calibration\)/);
});
test("projects only bounded server-selected evidence to the model", () => {
const context = toAgentConsultationContext({
success: true,
question: "事业如何",
chart: {
birth: { date: "1990-01-02", time: "03:04", latitude: 25.03, longitude: 121.56 },
ascendant: { sign: "Leo", degree: 12.5, reported_time: "private-reported-time" },
planets: [{ name: "Sun", sign: "Capricorn", degree: 4.2, lng: "private-lng" }],
houses: { first: { sign: "Leo" } },
dasha: { current: "Mars", next: "Rahu", utc_offset: "private-utc-offset" },
shadbala: { planets: { Sun: { total_rupa: 7.1 } } },
ashtakavarga: { house_scores: { "10": 31 } },
modules: {
shadbala: { total: 412 },
ashtakavarga: { total: 28 },
dasha_boundaries: { next: "2027-03", utc_offset: "private-module-utc-offset" },
narayana_dasha: { current: "Aries" },
},
},
routing: { primary_theme: "career" },
thematic_report: {
themes: {
career: {
theme: "career",
summary: "保留这条服务端证据摘要",
narrative: "事业证据叙事",
strength: "strong",
account_balance: "private-account-balance",
recommendations: ["保持稳健推进"],
evidence: [{
technique: "D10-Dashamsha-local",
chart: "D10",
conclusion: "D10 事业分盘已进入证据链",
sentiment: "positive",
strength: "strong",
details: {
source: "chart",
derived: true,
entitlements: "private-entitlements",
access_scopes: "private-access-scopes",
},
}],
},
},
},
consumer_context: {
route: "career", core_status: "ready", available_layers: ["natal", "timing"],
missing_route_layers: [], hard_blockers: [],
technique_truth: { status: "verified", access_scopes: "private-validation-scopes" },
answer_policy: {
can_answer_direction: true,
can_answer_precise_timing: false,
entitlements: "private-policy-entitlements",
},
user_facing_limitation: "精确月份暂不可用",
},
reference_transparency: { similar_public_cases: { status: "public_context_only" } },
rectification: { summary: "none" },
});
const output = toModelOutput(context);
const careerPlan = createConsultationPlan({ userIntent: "事业如何", theme: "career" });
const careerOutput = toModelOutput(context, careerPlan);
const serialized = JSON.stringify(output);
assert.equal(output.packet_version, "consultation-evidence-packet-v2");
assert.equal("birth" in output, false);
assert.equal(serialized.includes("1990-01-02"), false);
assert.equal(serialized.includes("03:04"), false);
assert.equal(serialized.includes("25.03"), false);
assert.equal(serialized.includes("121.56"), false);
for (const privateValue of [
"private-reported-time", "private-lng", "private-utc-offset", "private-module-utc-offset",
"private-account-balance", "private-entitlements", "private-access-scopes",
"private-validation-scopes", "private-policy-entitlements",
]) {
assert.equal(serialized.includes(privateValue), false);
}
for (const privateKey of [
"reported_time", "lng", "utc_offset", "account_balance", "entitlements", "access_scopes",
]) {
assert.equal(serialized.includes(`"${privateKey}"`), false);
}
assert.equal(serialized.includes("保留这条服务端证据摘要"), true);
assert.equal(serialized.includes("D10-Dashamsha-local"), true);
assert.equal(serialized.includes("total_rupa"), true);
assert.equal(serialized.includes("house_scores"), true);
assert.equal(serialized.includes('"dasha"'), true);
assert.equal(serialized.includes("narayana_dasha"), true);
assert.equal(serialized.includes('"status":"verified"'), true);
const answerPolicy = output.evidence_contract.answer_policy as Record<string, unknown>;
assert.equal(answerPolicy.can_answer_precise_timing, false);
assert.deepEqual(output.claim_cards.map((card) => card.category), ["natal_foundation", "domain", "timing", "validation"]);
assert.deepEqual(careerOutput.claim_cards.map((card) => card.category), ["natal_foundation", "domain"]);
assert.equal(JSON.stringify(careerOutput).includes('"dasha"'), false);
assert.equal(serialized.includes("consultation-evidence-packet-v2"), true);
});