- 切换到 expo-router 文件路由,删除 App.tsx - 新增 5 个 Expo 原生插件:ppocr (OCR), accessibility (账单抓取), notification-listener, screenshot-monitor, sms-receiver - 实现核心领域逻辑:billPipeline (账单流水), dedup (去重), transferRecognizer (转账识别), ruleEngine + categories (双轨制分类), budgets, creditCards, recurring, sync, ocrProcessor - 增强 ledger.ts:支持 balance assertion, option, pad/note 指令, posting 级 metadata, cost/price 解析 - 新增完整 UI:tabs (首页/报表/设置), 交易详情, 预算, 日历热力图, 分类管理, 信用卡, 定期交易, 规则管理 - 实现 Zustand 状态管理:ledgerStore, importStore, settingsStore, metadataStore, automationStore + 持久化 - 新增 AI 功能:chatAssistant, monthlySummary, voiceInput - 实现多端同步:gitSync, webdavSync, icloudSync - 新增主题系统 (tokens/presets) 和 i18n (zh/en) - 添加 30+ 单元测试覆盖核心逻辑
173 lines
8.0 KiB
TypeScript
173 lines
8.0 KiB
TypeScript
import { describe, expect, it } from 'vitest';
|
||
import { filterByType, getSubCategories, getTopLevelCategories, matchCategory, resolveCategoryAccount, type Category } from '../src/domain/categories';
|
||
import { classifyWithCategories } from '../src/domain/rules';
|
||
import { extractTagNames, isValidTagName, resolveTagsByName, tagsToBeanSyntax, type Tag } from '../src/domain/tags';
|
||
import { parseLedger } from '../src/domain/ledger';
|
||
import { importStatement } from '../src/domain/statements';
|
||
import type { ImportedEvent } from '../src/domain/types';
|
||
|
||
const ledger = parseLedger([{ path: 'main.bean', content: '2026-01-01 open Assets:Alipay CNY\n2026-01-01 open Expenses:Food CNY\n2026-01-01 open Expenses:Uncategorized CNY\n2026-01-01 open Income:Uncategorized CNY\n' }]);
|
||
|
||
const expenseCats: Category[] = [
|
||
{ id: 'food', name: '餐饮', type: 'expense', linkedAccount: 'Expenses:Food', keywords: ['餐', '饭', '咖啡', '食'] },
|
||
{ id: 'transport', name: '交通', type: 'expense', linkedAccount: 'Expenses:Transport', keywords: ['打车', '地铁', '公交'] },
|
||
{ id: 'other', name: '其他', type: 'expense', linkedAccount: 'Expenses:Uncategorized', keywords: [] },
|
||
];
|
||
const incomeCats: Category[] = [
|
||
{ id: 'salary', name: '工资', type: 'income', linkedAccount: 'Income:Salary', keywords: ['工资', '薪'] },
|
||
{ id: 'other-i', name: '其他', type: 'income', linkedAccount: 'Income:Uncategorized', keywords: [] },
|
||
];
|
||
|
||
describe('matchCategory', () => {
|
||
it('精确匹配(分类名等于文本)', () => {
|
||
const m = matchCategory('餐饮', expenseCats);
|
||
expect(m.category?.id).toBe('food');
|
||
expect(m.matchedBy).toBe('exact');
|
||
});
|
||
|
||
it('关键词匹配', () => {
|
||
const m = matchCategory('星巴克咖啡', expenseCats);
|
||
expect(m.category?.id).toBe('food');
|
||
expect(m.matchedBy).toBe('keyword');
|
||
});
|
||
|
||
it('模糊匹配(包含关系)', () => {
|
||
const cats = [{ id: 'x', name: '咖啡店', type: 'expense' as const, linkedAccount: 'Expenses:Food', keywords: [] }];
|
||
const m = matchCategory('某咖啡店分店', cats);
|
||
expect(m.category?.id).toBe('x');
|
||
expect(m.matchedBy).toBe('fuzzy');
|
||
});
|
||
|
||
it('未匹配时兜底到"其他"', () => {
|
||
const m = matchCategory('完全无关的文本', expenseCats);
|
||
expect(m.category?.id).toBe('other');
|
||
expect(m.matchedBy).toBe('fallback');
|
||
});
|
||
|
||
it('空文本返回 none', () => {
|
||
const m = matchCategory(' ', expenseCats);
|
||
expect(m.category).toBeNull();
|
||
expect(m.matchedBy).toBe('none');
|
||
});
|
||
});
|
||
|
||
describe('resolveCategoryAccount(双轨制核心)', () => {
|
||
it('linkedAccount 存在时返回该账户', () => {
|
||
const r = resolveCategoryAccount(expenseCats[0], 'expense', ledger);
|
||
expect(r.account).toBe('Expenses:Food');
|
||
expect(r.valid).toBe(true);
|
||
});
|
||
|
||
it('linkedAccount 不存在时不降级,返回原始账户', () => {
|
||
const r = resolveCategoryAccount(expenseCats[1], 'expense', ledger); // Transport 未 open
|
||
expect(r.account).toBe('Expenses:Transport');
|
||
expect(r.valid).toBe(false);
|
||
expect(r.fallbackReason).toContain('尚未开户');
|
||
});
|
||
|
||
it('category 为 null 时使用未分类兜底', () => {
|
||
const r = resolveCategoryAccount(null, 'income', ledger);
|
||
expect(r.account).toBe('Income:未分类');
|
||
expect(r.valid).toBe(false);
|
||
});
|
||
|
||
it('收入类型未匹配时兜底 Income:未分类', () => {
|
||
const r = resolveCategoryAccount(null, 'income', ledger);
|
||
expect(r.account).toBe('Income:未分类');
|
||
});
|
||
});
|
||
|
||
describe('classifyWithCategories(双轨制记账)', () => {
|
||
it('规则命中时优先用规则的 categoryAccount', () => {
|
||
const [event] = importStatement('交易时间,金额(元),收/支,交易对方,交易订单号\n2026-02-01,25.50,支出,咖啡店,A1', 'alipay-csv-v1');
|
||
const result = classifyWithCategories(event, [{ id: 'coffee', priority: 10, counterpartyContains: '咖啡', channelAccount: 'Assets:Alipay', categoryAccount: 'Expenses:Food', hits: 0 }], expenseCats, ledger);
|
||
expect(result.ruleId).toBe('coffee');
|
||
expect(result.draft.postings[1].account).toBe('Expenses:Food');
|
||
});
|
||
|
||
it('规则未命中时用分类库匹配(关键词)', () => {
|
||
const [event] = importStatement('交易时间,金额(元),收/支,交易对方,交易订单号\n2026-02-01,30,支出,麦当劳快餐,A2', 'alipay-csv-v1');
|
||
const result = classifyWithCategories(event, [], expenseCats, ledger);
|
||
expect(result.ruleId).toBeUndefined();
|
||
expect(result.categoryId).toBe('food'); // 关键词"餐"命中
|
||
expect(result.draft.postings[1].account).toBe('Expenses:Food');
|
||
});
|
||
|
||
it('分类匹配但 linkedAccount 未开户时不降级', () => {
|
||
const [event] = importStatement('交易时间,金额(元),收/支,交易对方,交易订单号\n2026-02-01,15,支出,打车滴滴,A3', 'alipay-csv-v1');
|
||
const result = classifyWithCategories(event, [], expenseCats, ledger);
|
||
// 交通分类命中,Expenses:Transport 未 open,但不降级,保留真实账户
|
||
expect(result.categoryId).toBe('transport');
|
||
expect(result.draft.postings[1].account).toBe('Expenses:Transport');
|
||
expect(result.categoryFallbackReason).toContain('尚未开户');
|
||
expect(result.confidence).toBe('low');
|
||
});
|
||
|
||
it('完全未匹配时兜底到其他分类', () => {
|
||
const [event] = importStatement('交易时间,金额(元),收/支,交易对方,交易订单号\n2026-02-01,99,支出,未知商户,A4', 'alipay-csv-v1');
|
||
const result = classifyWithCategories(event, [], expenseCats, ledger);
|
||
// 未匹配到具体分类,兜底到 expenseCats 中的 'other' 分类
|
||
expect(result.draft.postings[1].account).toBe('Expenses:Uncategorized');
|
||
});
|
||
|
||
it('收入方向用收入分类', () => {
|
||
const event: ImportedEvent = {
|
||
id: 'test1', occurredAt: '2026-02-01', amount: '5000', currency: 'CNY', direction: 'income',
|
||
channel: 'Bank', counterparty: '公司', memo: '工资', raw: {},
|
||
};
|
||
const result = classifyWithCategories(event, [], incomeCats, ledger);
|
||
expect(result.categoryId).toBe('salary');
|
||
expect(result.draft.postings[1].account).toBe('Income:Salary'); // Income:Salary 未 open 但不降级,保留真实账户
|
||
});
|
||
});
|
||
|
||
describe('分类工具函数', () => {
|
||
const all = [...expenseCats, ...incomeCats, { id: 'food-lunch', name: '午餐', type: 'expense' as const, parentId: 'food', linkedAccount: 'Expenses:Food', keywords: [] }];
|
||
|
||
it('filterByType', () => {
|
||
expect(filterByType(all, 'expense')).toHaveLength(4);
|
||
expect(filterByType(all, 'income')).toHaveLength(2);
|
||
});
|
||
|
||
it('getTopLevelCategories(无 parentId)', () => {
|
||
expect(getTopLevelCategories(all)).toHaveLength(5);
|
||
});
|
||
|
||
it('getSubCategories', () => {
|
||
expect(getSubCategories(all, 'food')).toHaveLength(1);
|
||
expect(getSubCategories(all, 'food')[0].id).toBe('food-lunch');
|
||
});
|
||
});
|
||
|
||
describe('tags(标签序列化)', () => {
|
||
it('isValidTagName', () => {
|
||
expect(isValidTagName('food')).toBe(true);
|
||
expect(isValidTagName('lunch-1')).toBe(true);
|
||
expect(isValidTagName('餐饮')).toBe(false); // 中文不符合 \w
|
||
expect(isValidTagName('')).toBe(false);
|
||
expect(isValidTagName('a b')).toBe(false); // 空格
|
||
});
|
||
|
||
it('tagsToBeanSyntax 序列化为 #tag', () => {
|
||
const tags: Tag[] = [{ id: 't1', name: 'food', color: '#f00' }, { id: 't2', name: 'lunch', color: '#0f0' }];
|
||
expect(tagsToBeanSyntax(tags)).toBe(' #food #lunch');
|
||
});
|
||
|
||
it('tagsToBeanSyntax 过滤非法名', () => {
|
||
const tags: Tag[] = [{ id: 't1', name: 'food', color: '' }, { id: 't2', name: '非法 名', color: '' }];
|
||
expect(tagsToBeanSyntax(tags)).toBe(' #food');
|
||
});
|
||
|
||
it('extractTagNames 从 narration 提取', () => {
|
||
expect(extractTagNames('冰美式 #food #lunch')).toEqual(['food', 'lunch']);
|
||
expect(extractTagNames('无标签的备注')).toEqual([]);
|
||
});
|
||
|
||
it('resolveTagsByName 从库匹配', () => {
|
||
const all: Tag[] = [{ id: 't1', name: 'food', color: '#f00' }];
|
||
const resolved = resolveTagsByName(['food', 'unknown'], all);
|
||
expect(resolved).toHaveLength(1);
|
||
expect(resolved[0].name).toBe('food');
|
||
});
|
||
});
|