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