memind/experience-reflect.mjs

import {
  mapExperienceRow,
  normalizeExperienceRecordInput,
  parseExperienceJson,
} from './experience-schema.mjs';

export const DEFAULT_REFLECT_MIN_GROUP_SIZE = 3;

export function problemFingerprint(problem) {
  const text = String(problem ?? '')
    .toLowerCase()
    .replace(/[^\p{L}\p{N}]+/gu, ' ')
    .trim()
    .replace(/\s+/g, ' ');
  if (!text) return '';
  return text.slice(0, 120);
}

export function environmentMatchBoost(row, terms) {
  if (!terms.length) return 0;
  const environment = parseExperienceJson(row.environment_json ?? row.environment, null);
  if (!environment) return 0;
  const haystack = [
    environment.runtime,
    ...(Array.isArray(environment.components) ? environment.components : []),
    environment.region,
  ]
    .filter(Boolean)
    .join(' ')
    .toLowerCase();
  if (!haystack) return 0;
  let boost = 0;
  for (const term of terms) {
    if (haystack.includes(term)) boost += 0.5;
  }
  return boost;
}

export function scoreExperienceRow(row, terms, nowMs, halfLifeMs) {
  const haystack = [
    row.title,
    row.body,
    row.problem,
    row.environment_json ? JSON.stringify(parseExperienceJson(row.environment_json, {})) : '',
  ]
    .filter(Boolean)
    .join('\n')
    .toLowerCase();

  let keywordScore = 0;
  for (const term of terms) {
    if (haystack.includes(term)) keywordScore += 1;
  }
  keywordScore += environmentMatchBoost(row, terms);
  if (keywordScore <= 0) return { row, score: 0 };

  const ageMs = Math.max(0, nowMs - Number(row.updated_at ?? row.updatedAt ?? 0));
  const recency = Math.pow(0.5, ageMs / halfLifeMs);
  return { row, score: keywordScore * recency };
}

export function groupTaskOutcomesByProblem(rows, minGroupSize = DEFAULT_REFLECT_MIN_GROUP_SIZE) {
  const buckets = new Map();
  for (const row of rows) {
    if (String(row.kind ?? '').toLowerCase() !== 'task_outcome') continue;
    if (row.parent_experience_id ?? row.parentExperienceId) continue;
    if (String(row.status ?? 'active').toLowerCase() !== 'active') continue;
    const fp = problemFingerprint(row.problem || row.title);
    if (!fp) continue;
    if (!buckets.has(fp)) buckets.set(fp, []);
    buckets.get(fp).push(row);
  }
  return [...buckets.values()].filter((group) => group.length >= minGroupSize);
}

export function findExistingExecutionPattern(rows, fingerprint) {
  for (const row of rows) {
    if (String(row.kind ?? '').toLowerCase() !== 'execution_pattern') continue;
    if (String(row.status ?? 'active').toLowerCase() !== 'active') continue;
    const fp = problemFingerprint(row.problem || row.title);
    if (fp === fingerprint) return row;
  }
  return null;
}

export function buildExecutionPatternAggregate(rows) {
  const sorted = [...rows].sort(
    (a, b) => Number(b.updated_at ?? b.updatedAt ?? 0) - Number(a.updated_at ?? a.updatedAt ?? 0),
  );
  const problem = sorted[0].problem || sorted[0].title;
  const results = sorted.map((row) => row.result).filter(Boolean);
  const successCount = results.filter((value) => value === 'success').length;
  const result =
    successCount >= results.length / 2
      ? 'success'
      : results.every((value) => value === 'failure')
        ? 'failure'
        : 'partial';

  const confidences = sorted
    .map((row) => (row.confidence == null ? null : Number(row.confidence)))
    .filter((value) => Number.isFinite(value));
  const confidence =
    confidences.length > 0
      ? Number((confidences.reduce((sum, value) => sum + value, 0) / confidences.length).toFixed(3))
      : null;

  const components = new Set();
  let runtime = null;
  const steps = new Set();
  let executor = null;
  const sources = [];
  const seenSourceIds = new Set();

  for (const row of sorted) {
    const environment = parseExperienceJson(row.environment_json ?? row.environment, null);
    if (environment?.runtime) runtime = environment.runtime;
    for (const component of environment?.components ?? []) {
      if (component) components.add(String(component));
    }

    const action = parseExperienceJson(row.action_json ?? row.action, null);
    if (action?.executor) executor = action.executor;
    for (const step of action?.steps ?? []) {
      if (step) steps.add(String(step));
    }

    const evidence = parseExperienceJson(row.evidence_json ?? row.evidence, null);
    for (const source of evidence?.sources ?? []) {
      const sourceId = String(source?.source_id ?? '').trim();
      if (sourceId && seenSourceIds.has(sourceId)) continue;
      if (sourceId) seenSourceIds.add(sourceId);
      sources.push(source);
    }
  }

  const bodyLines = sorted.slice(0, 5).map((row) => `- ${row.title}: ${row.body}`);
  if (sorted.length > 5) {
    bodyLines.push(`- … 另有 ${sorted.length - 5} 条同类任务记录`);
  }

  return normalizeExperienceRecordInput({
    kind: 'execution_pattern',
    title: String(problem).slice(0, 200),
    body: `聚合 ${sorted.length} 次同类任务经验：\n${bodyLines.join('\n')}`,
    problem,
    result,
    confidence,
    environment: {
      runtime,
      components: [...components],
    },
    action: {
      executor,
      steps: [...steps],
    },
    evidence: {
      sources,
      provenance: {
        aggregated_from: sorted.map((row) => row.id),
      },
    },
    tags: ['execution_pattern', 'reflect'],
  });
}

export function planExperienceReflection(rows, { minGroupSize = DEFAULT_REFLECT_MIN_GROUP_SIZE } = {}) {
  const activeRows = rows.filter((row) => String(row.status ?? 'active').toLowerCase() === 'active');
  const groups = groupTaskOutcomesByProblem(activeRows, minGroupSize);
  const plans = [];
  for (const group of groups) {
    const fingerprint = problemFingerprint(group[0].problem || group[0].title);
    if (!fingerprint) continue;
    if (findExistingExecutionPattern(activeRows, fingerprint)) continue;
    plans.push({
      fingerprint,
      sourceIds: group.map((row) => row.id),
      payload: buildExecutionPatternAggregate(group),
    });
  }
  return plans;
}

export function mapReflectResult(savedRow) {
  return mapExperienceRow(savedRow);
}