import assert from 'node:assert/strict';
import test from 'node:test';
import {
  createPersonalMemoryShadowPipeline,
  resolvePersonalShadowConfig,
  shouldAutoAcceptCandidate,
} from './memory-v2-personal-shadow.mjs';
import { createMemoryV2 } from './memory-v2.mjs';

test('personal memory shadow config maps active mode to auto review', () => {
  const config = resolvePersonalShadowConfig({
    MEMORY_CANDIDATE_ENABLED: '1',
    MEMORY_CANDIDATE_MODE: 'active',
  });
  assert.equal(config.enabled, true);
  assert.equal(config.requestedMode, 'active');
  assert.equal(config.effectiveMode, 'active');
  assert.equal(config.autoReviewEnabled, true);
});

test('personal memory shadow config keeps shadow mode for manual review', () => {
  const config = resolvePersonalShadowConfig({
    MEMORY_CANDIDATE_ENABLED: '1',
    MEMORY_CANDIDATE_MODE: 'shadow',
  });
  assert.equal(config.effectiveMode, 'shadow');
  assert.equal(config.autoReviewEnabled, false);
});

test('shouldAutoAcceptCandidate auto accepts explicit requests in canary mode', () => {
  const config = resolvePersonalShadowConfig({
    MEMORY_CANDIDATE_ENABLED: '1',
    MEMORY_CANDIDATE_MODE: 'canary',
    MEMORY_CANDIDATE_MIN_CONFIDENCE: '0.8',
  });
  assert.equal(shouldAutoAcceptCandidate({
    policyReason: 'explicit_memory_request',
    confidence: 0.98,
  }, config), true);
  assert.equal(shouldAutoAcceptCandidate({
    policyReason: 'stable_fact_signal',
    confidence: 0.82,
  }, config), false);
  assert.equal(shouldAutoAcceptCandidate({
    policyReason: 'decision_signal',
    confidence: 0.9,
  }, config), true);
});

test('shadow pipeline auto accepts durable candidates in active mode', async () => {
  const saved = [];
  const pipeline = createPersonalMemoryShadowPipeline({
    env: {
      MEMORY_CANDIDATE_ENABLED: '1',
      MEMORY_CANDIDATE_MODE: 'active',
      MEMORY_POLICY_ENABLED: '1',
    },
    store: {
      async saveCandidate(candidate, options = {}) {
        saved.push({ candidate, options });
        return { inserted: true, status: options.autoAccept ? 'accepted' : 'candidate' };
      },
    },
  });
  const result = await pipeline.observeWrite({
    userId: 'u1',
    sessionId: 's1',
    messages: [{ role: 'user', text: '我决定所有生产发布必须从完整 main 分支打包。' }],
  });
  assert.equal(result.autoReviewed, 1);
  assert.equal(result.pendingReview, 0);
  assert.equal(saved.length, 1);
  assert.equal(saved[0].options.autoAccept, true);
  assert.equal(pipeline.getStatus().autoReviewEnabled, true);
  assert.equal(pipeline.getStatus().phase, 'auto-review-v1');
});

test('shadow pipeline keeps low-confidence canary candidates pending review', async () => {
  const saved = [];
  const pipeline = createPersonalMemoryShadowPipeline({
    env: {
      MEMORY_CANDIDATE_ENABLED: '1',
      MEMORY_CANDIDATE_MODE: 'canary',
      MEMORY_CANDIDATE_MIN_CONFIDENCE: '0.8',
    },
    store: {
      async saveCandidate(candidate, options = {}) {
        saved.push({ candidate, options });
        return { inserted: true, status: options.autoAccept ? 'accepted' : 'candidate' };
      },
    },
  });
  await pipeline.observeWrite({
    userId: 'u1',
    sessionId: 's1',
    messages: [{ role: 'user', text: '项目使用 pgvector 作为向量存储。' }],
  });
  assert.equal(saved.length, 1);
  assert.equal(saved[0].options.autoAccept, false);
  assert.equal(pipeline.getStatus().health.pendingReview, 1);
});

test('shadow pipeline extracts durable candidates with evidence and deduplicates', async () => {
  let clock = 1000;
  const pipeline = createPersonalMemoryShadowPipeline({
    env: {
      MEMORY_CANDIDATE_ENABLED: '1',
      MEMORY_CANDIDATE_MODE: 'shadow',
      MEMORY_POLICY_ENABLED: '1',
      MEMORY_POLICY_REQUIRE_EVIDENCE: '1',
      MEMORY_CANDIDATE_MIN_IMPORTANCE: '0.7',
      MEMORY_CANDIDATE_MIN_CONFIDENCE: '0.8',
    },
    now: () => {
      clock += 1;
      return clock;
    },
  });
  const input = {
    userId: 'u1',
    sessionId: 's1',
    messages: [
      { role: 'user', text: '我决定所有生产发布必须从完整 main 分支打包。' },
      { role: 'assistant', text: '收到。' },
    ],
  };
  const first = await pipeline.observeWrite(input);
  const second = await pipeline.observeWrite(input);

  assert.equal(first.accepted, 1);
  assert.equal(second.accepted, 0);
  assert.equal(pipeline.listCandidates().length, 1);
  assert.equal(pipeline.listCandidates()[0].memoryType, 'episodic');
  assert.equal(pipeline.listCandidates()[0].evidence.sourceId, 's1:0');
  assert.equal(pipeline.getStatus().health.deduped, 1);
  assert.equal(pipeline.getStatus().injectionEnabled, false);
});

test('shadow policy rejects trivial and sensitive messages', async () => {
  const pipeline = createPersonalMemoryShadowPipeline({
    env: {
      MEMORY_CANDIDATE_ENABLED: '1',
      MEMORY_CANDIDATE_MODE: 'shadow',
      MEMORY_POLICY_REJECT_SENSITIVE: '1',
    },
  });
  const result = await pipeline.observeWrite({
    userId: 'u1',
    sessionId: 's1',
    messages: [
      { role: 'user', text: '谢谢' },
      { role: 'user', text: '请记住 API_KEY=sk-this-is-a-secret-token' },
      { role: 'user', text: '今天天气怎么样？' },
    ],
  });
  assert.equal(result.accepted, 0);
  assert.equal(result.rejected, 3);
  assert.equal(pipeline.listCandidates().length, 0);
});

test('shadow pipeline prefers user-facing displayText over internal prompt content', async () => {
  const pipeline = createPersonalMemoryShadowPipeline({
    env: { MEMORY_CANDIDATE_ENABLED: '1', MEMORY_CANDIDATE_MODE: 'shadow' },
  });
  await pipeline.observeWrite({
    userId: 'u1',
    sessionId: 's1',
    messages: [{
      role: 'user',
      content: [{ type: 'text', text: '[用户身份] 内部前缀\n我决定先测试再发布。' }],
      metadata: { displayText: '我决定先测试再发布。' },
    }],
  });
  assert.equal(pipeline.listCandidates().length, 1);
  assert.equal(pipeline.listCandidates()[0].content, '我决定先测试再发布。');
  assert.doesNotMatch(pipeline.listCandidates()[0].content, /用户身份/);
});

test('shadow pipeline strips protected user identity prefix when displayText is absent', async () => {
  const pipeline = createPersonalMemoryShadowPipeline({
    env: { MEMORY_CANDIDATE_ENABLED: '1', MEMORY_CANDIDATE_MODE: 'shadow' },
  });
  await pipeline.observeWrite({
    userId: 'u1',
    sessionId: 's1',
    messages: [{
      role: 'user',
      content: [{
        type: 'text',
        text: '[用户身份]\n- 当前登录用户称呼：John\n- 内部提示\n\n我决定先测试再发布。',
      }],
    }],
  });
  assert.equal(pipeline.listCandidates().length, 1);
  assert.equal(pipeline.listCandidates()[0].content, '我决定先测试再发布。');
});

test('shadow candidate pool remains bounded', async () => {
  const pipeline = createPersonalMemoryShadowPipeline({
    env: {
      MEMORY_CANDIDATE_ENABLED: '1',
      MEMORY_CANDIDATE_MODE: 'shadow',
      MEMORY_CANDIDATE_MAX_PENDING: '2',
    },
  });
  await pipeline.observeWrite({
    userId: 'u1',
    sessionId: 's1',
    messages: [
      { role: 'user', text: '我决定项目一使用完整 main 发布。' },
      { role: 'user', text: '我决定项目二使用完整 main 发布。' },
      { role: 'user', text: '我决定项目三使用完整 main 发布。' },
    ],
  });
  assert.equal(pipeline.listCandidates().length, 2);
  assert.match(pipeline.listCandidates()[0].content, /项目三/);
});

test('shadow pipeline persists accepted candidates when a store is configured', async () => {
  const saved = [];
  const pipeline = createPersonalMemoryShadowPipeline({
    env: { MEMORY_CANDIDATE_ENABLED: '1', MEMORY_CANDIDATE_MODE: 'shadow' },
    store: { async saveCandidate(candidate) { saved.push(candidate); return { inserted: true }; } },
  });
  await pipeline.observeWrite({
    userId: 'u1',
    sessionId: 's1',
    messages: [{ role: 'user', text: '我的长期目标是建设一个持续成长的 Personal Agent。' }],
  });
  assert.equal(saved.length, 1);
  assert.equal(saved[0].memoryType, 'goal');
  assert.equal(pipeline.getStatus().persistence, 'mysql');
});

test('Memory V2 does not wait for the shadow pipeline before returning legacy write result', async () => {
  let releaseShadow;
  const shadowBlocked = new Promise((resolve) => { releaseShadow = resolve; });
  const memory = createMemoryV2({
    policy: { enabled: true, eventLogEnabled: true, failOpen: true, backend: 'legacy' },
    backends: [{
      name: 'legacy-conversation-memory',
      isAvailable: () => true,
      async write() { return { saved: 1, analyzed: 0, memories: 0 }; },
    }],
    personalShadowPipeline: {
      config: { enabled: true },
      observeWrite: () => shadowBlocked,
      getStatus: () => ({ enabled: true }),
    },
  });
  const result = await Promise.race([
    memory.write({ userId: 'u1', sessionId: 's1', messages: [] }),
    new Promise((_, reject) => setTimeout(() => reject(new Error('write waited for shadow')), 50)),
  ]);
  assert.equal(result.saved, 1);
  releaseShadow();
});

test('Memory V2 exposes a shadow-only observation entry without calling legacy write', async () => {
  let legacyWrites = 0;
  const observed = [];
  const memory = createMemoryV2({
    policy: { enabled: true, eventLogEnabled: true, failOpen: true, backend: 'legacy' },
    backends: [{
      name: 'legacy-conversation-memory',
      isAvailable: () => true,
      async write() { legacyWrites += 1; return { saved: 1 }; },
    }],
    personalShadowPipeline: {
      config: { enabled: true },
      async observeWrite(input) { observed.push(input); return { accepted: 1 }; },
      getStatus: () => ({ enabled: true }),
    },
  });
  const result = await memory.observePersonalMemory({
    userId: 'u1',
    sessionId: 's1',
    messages: [{ role: 'user', text: '我决定先完成测试。' }],
  });
  assert.equal(result.accepted, 1);
  assert.equal(observed.length, 1);
  assert.equal(legacyWrites, 0);
});