feat(data): extend market data provider with charts, fundamentals, and quant analysis

Adds a stock data cache layer and indicator helpers (MA/RSI/MACD), expands
the MarketDataProvider interface with candles, fundamentals, related-data,
and quant analysis, and threads tags + source attribution through the
shared types. Updates affected agent tests.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
2026-05-19 23:20:42 +08:00
parent 30f6cd84a8
commit a4a2cb2ccf
12 changed files with 2187 additions and 32 deletions

View File

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import { mkdir, readFile, writeFile } from "node:fs/promises";
import { join } from "node:path";
import { calculateIndicators } from "./indicators";
import type {
ChartPeriod,
FinancialStatement,
MarketDataProvider,
PriceCandle,
QuantAnalysis,
RelatedStockData,
StockChartData,
StockFundamentalsData,
StockQuantAnalysis,
StockRelatedData,
StockSnapshot,
WatchStock
} from "../shared/types";
interface CachedEntry<T> {
cachedAt: string;
data: T;
}
interface StockCacheFile {
snapshot?: CachedEntry<StockSnapshot>;
candles?: CachedEntry<PriceCandle[]>;
candlesWindowYears?: number;
candlesProviderVersion?: number;
fundamentals?: CachedEntry<FinancialStatement[]>;
relatedData?: CachedEntry<RelatedStockData>;
quantAnalysis?: CachedEntry<QuantAnalysis> & { version?: number };
}
const SNAPSHOT_TTL_MS = 24 * 60 * 60 * 1000;
const CANDLES_TTL_MS = 24 * 60 * 60 * 1000;
const FUNDAMENTALS_TTL_MS = 7 * 24 * 60 * 60 * 1000;
const RELATED_TTL_MS = 24 * 60 * 60 * 1000;
const ANALYSIS_VERSION = 4;
const CANDLES_WINDOW_YEARS = 10;
const CANDLES_PROVIDER_VERSION = 2;
export class StockDataCache {
constructor(
private readonly cacheDir: string,
private readonly provider: MarketDataProvider,
private readonly now: () => Date = () => new Date()
) {}
async snapshot(stock: WatchStock, force = false): Promise<StockSnapshot> {
const cache = await this.read(stock);
if (!force && cache.snapshot && !isExpired(cache.snapshot.cachedAt, SNAPSHOT_TTL_MS, this.now())) {
return cache.snapshot.data;
}
const next = await this.provider.snapshot(stock);
await this.write(stock, { ...cache, snapshot: { cachedAt: this.now().toISOString(), data: next } });
return next;
}
async chart(stock: WatchStock, period: ChartPeriod = "D", force = false): Promise<StockChartData> {
const cache = await this.read(stock);
const existing = cache.candles;
let entry: CachedEntry<PriceCandle[]>;
try {
if (!existing || force || cache.candlesWindowYears !== CANDLES_WINDOW_YEARS || cache.candlesProviderVersion !== CANDLES_PROVIDER_VERSION) {
entry = { cachedAt: this.now().toISOString(), data: await this.provider.candles(stock) };
} else if (isExpired(existing.cachedAt, CANDLES_TTL_MS, this.now())) {
entry = existing;
void this.refreshCandles(stock, existing);
} else {
entry = existing;
}
} catch (error) {
if (existing) {
entry = existing;
} else {
throw error;
}
}
if (entry !== cache.candles) {
await this.write(stock, { ...cache, candles: entry, candlesWindowYears: CANDLES_WINDOW_YEARS, candlesProviderVersion: CANDLES_PROVIDER_VERSION });
}
const candles = aggregateCandles(entry.data, period);
return {
stock,
period,
candles,
indicators: calculateIndicators(candles),
cachedAt: entry.cachedAt
};
}
private async refreshCandles(stock: WatchStock, existing: CachedEntry<PriceCandle[]>): Promise<void> {
try {
const cache = await this.read(stock);
if (cache.candles?.cachedAt !== existing.cachedAt) {
return;
}
const startDate = previousCalendarDate(existing.data[existing.data.length - 1]?.date);
const incremental = startDate ? await this.provider.candles(stock, startDate) : await this.provider.candles(stock);
const entry = {
cachedAt: this.now().toISOString(),
data: incremental.length ? mergeCandles(existing.data, incremental) : existing.data
};
await this.write(stock, { ...cache, candles: entry, candlesWindowYears: CANDLES_WINDOW_YEARS, candlesProviderVersion: CANDLES_PROVIDER_VERSION });
} catch {
// Keep stale cache when the upstream market data source is unavailable.
}
}
async refreshChart(stock: WatchStock, period: ChartPeriod = "D"): Promise<StockChartData> {
const cache = await this.read(stock);
const existing = cache.candles;
let entry: CachedEntry<PriceCandle[]>;
if (existing && cache.candlesWindowYears === CANDLES_WINDOW_YEARS && cache.candlesProviderVersion === CANDLES_PROVIDER_VERSION) {
const startDate = previousCalendarDate(existing.data[existing.data.length - 1]?.date);
const incremental = startDate ? await this.provider.candles(stock, startDate) : await this.provider.candles(stock);
entry = {
cachedAt: this.now().toISOString(),
data: incremental.length ? mergeCandles(existing.data, incremental) : existing.data
};
} else {
entry = { cachedAt: this.now().toISOString(), data: await this.provider.candles(stock) };
}
await this.write(stock, { ...cache, candles: entry, candlesWindowYears: CANDLES_WINDOW_YEARS, candlesProviderVersion: CANDLES_PROVIDER_VERSION });
const candles = aggregateCandles(entry.data, period);
return {
stock,
period,
candles,
indicators: calculateIndicators(candles),
cachedAt: entry.cachedAt
};
}
async fundamentals(stock: WatchStock, force = false): Promise<StockFundamentalsData> {
const cache = await this.read(stock);
let entry: CachedEntry<FinancialStatement[]>;
try {
entry =
!force && cache.fundamentals
? cache.fundamentals
: { cachedAt: this.now().toISOString(), data: await this.provider.fundamentals(stock) };
} catch {
entry = cache.fundamentals ?? { cachedAt: this.now().toISOString(), data: [] };
}
if (entry !== cache.fundamentals) {
await this.write(stock, { ...cache, fundamentals: entry });
}
return {
stock,
statements: entry.data,
cachedAt: entry.cachedAt
};
}
async relatedData(stock: WatchStock, force = false): Promise<StockRelatedData> {
const cache = await this.read(stock);
let entry: CachedEntry<RelatedStockData>;
try {
entry =
!force && cache.relatedData && hasResearchSchema(cache.relatedData.data)
? cache.relatedData
: { cachedAt: this.now().toISOString(), data: await this.provider.relatedData(stock) };
} catch {
entry = cache.relatedData ?? {
cachedAt: this.now().toISOString(),
data: {
riskFlags: ["相关市场数据源暂不可用。"],
sources: []
}
};
}
if (entry !== cache.relatedData) {
await this.write(stock, { ...cache, relatedData: entry });
}
return {
stock,
data: entry.data,
cachedAt: entry.cachedAt
};
}
async quantAnalysis(stock: WatchStock, force = false): Promise<StockQuantAnalysis> {
const cache = await this.read(stock);
const hasTodayAnalysis =
cache.quantAnalysis?.version === ANALYSIS_VERSION && isSameShanghaiDate(cache.quantAnalysis.cachedAt, this.now());
if (!force && cache.quantAnalysis?.version === ANALYSIS_VERSION) {
return {
stock,
analysis: cache.quantAnalysis.data,
generatedAt: cache.quantAnalysis.cachedAt,
cachedAt: cache.quantAnalysis.cachedAt
};
}
const refreshSourceData = force || !hasTodayAnalysis;
const snapshot = await this.snapshot(stock, refreshSourceData);
const chart = await this.chart(stock, "D", refreshSourceData);
const fundamentals = await this.fundamentals(stock, refreshSourceData).catch(() => ({ stock, statements: [], cachedAt: this.now().toISOString() }));
const related = await this.relatedData(stock, refreshSourceData).catch(() => ({
stock,
data: { riskFlags: ["相关市场数据源暂不可用。"], sources: [] },
cachedAt: this.now().toISOString()
}));
const generatedAt = this.now().toISOString();
const analysis = await this.provider.quantAnalysis({
stock,
snapshot,
candles: chart.candles,
indicators: chart.indicators,
fundamentals: fundamentals.statements,
relatedData: related.data
});
const entry = { cachedAt: generatedAt, data: analysis, version: ANALYSIS_VERSION };
await this.write(stock, { ...(await this.read(stock)), quantAnalysis: entry });
return {
stock,
analysis,
generatedAt,
cachedAt: entry.cachedAt
};
}
async analysisNeedsRefresh(stock: WatchStock): Promise<boolean> {
const cache = await this.read(stock);
return cache.quantAnalysis?.version !== ANALYSIS_VERSION || !isSameShanghaiDate(cache.quantAnalysis.cachedAt, this.now());
}
async hasAnalysis(stock: WatchStock): Promise<boolean> {
const cache = await this.read(stock);
return cache.quantAnalysis?.version === ANALYSIS_VERSION;
}
placeholderAnalysis(stock: WatchStock): StockQuantAnalysis {
const generatedAt = this.now().toISOString();
return {
stock,
generatedAt,
cachedAt: generatedAt,
analysis: {
action: "hold",
score: 50,
confidence: 0.1,
horizon: "后台生成中",
summary: "本地暂无 Agent 分析缓存,已在后台生成最新量化分析。当前先展示缓存数据,避免切换自选股时阻塞界面。",
factors: [
{ name: "缓存状态", score: 50, weight: 1, evidence: "等待后台 Agent 分析写入本地缓存。" },
{ name: "技术面", score: 50, weight: 0, evidence: "K线和指标可先独立查看。" },
{ name: "风险控制", score: 50, weight: 0, evidence: "完整交易计划将在后台分析完成后更新。" }
],
tradePlan: {
direction: "wait",
rationale: "后台分析完成前不生成买入、卖出或止损价。"
},
marketContext: ["Agent 分析正在后台生成。"],
riskNotes: ["该占位结果只表示后台任务状态,不代表实际投资判断。"]
}
};
}
private async read(stock: WatchStock): Promise<StockCacheFile> {
try {
return JSON.parse(await readFile(this.pathFor(stock), "utf8")) as StockCacheFile;
} catch (error) {
if (isMissingFile(error)) {
return {};
}
throw error;
}
}
private async write(stock: WatchStock, cache: StockCacheFile): Promise<void> {
await mkdir(this.cacheDir, { recursive: true });
await writeFile(this.pathFor(stock), `${JSON.stringify(cache, null, 2)}\n`, "utf8");
}
private pathFor(stock: WatchStock): string {
return join(this.cacheDir, `${stock.display.replace(/[^A-Z0-9]/g, "_")}.json`);
}
}
function isExpired(cachedAt: string, ttlMs: number, now: Date): boolean {
const cachedTime = new Date(cachedAt).getTime();
return !Number.isFinite(cachedTime) || now.getTime() - cachedTime > ttlMs;
}
function isMissingFile(error: unknown): boolean {
return typeof error === "object" && error !== null && "code" in error && error.code === "ENOENT";
}
function mergeCandles(existing: PriceCandle[], incoming: PriceCandle[]): PriceCandle[] {
const byDate = new Map<string, PriceCandle>();
for (const candle of existing) {
byDate.set(candle.date, candle);
}
for (const candle of incoming) {
byDate.set(candle.date, candle);
}
return Array.from(byDate.values()).sort((left, right) => left.date.localeCompare(right.date));
}
function previousCalendarDate(date: string | undefined): string | undefined {
if (!date) {
return undefined;
}
const value = new Date(`${date}T00:00:00.000Z`);
if (!Number.isFinite(value.getTime())) {
return undefined;
}
value.setUTCDate(value.getUTCDate() - 7);
return value.toISOString().slice(0, 10);
}
function hasResearchSchema(data: RelatedStockData): boolean {
return Array.isArray(data.sources) && data.sources.some((source) => source.name.startsWith("Nasdaq") || source.name.startsWith("Sina"));
}
function isSameShanghaiDate(cachedAt: string, now: Date): boolean {
const cachedTime = new Date(cachedAt);
if (!Number.isFinite(cachedTime.getTime())) {
return false;
}
return shanghaiDate(cachedTime) === shanghaiDate(now);
}
function shanghaiDate(date: Date): string {
return new Intl.DateTimeFormat("en-CA", {
timeZone: "Asia/Shanghai",
year: "numeric",
month: "2-digit",
day: "2-digit"
}).format(date);
}
function aggregateCandles(candles: PriceCandle[], period: ChartPeriod): PriceCandle[] {
if (period === "D") {
return candles;
}
const grouped = new Map<string, PriceCandle>();
for (const candle of candles) {
const key = periodKey(candle.date, period);
const existing = grouped.get(key);
if (!existing) {
grouped.set(key, { ...candle });
continue;
}
existing.high = Math.max(existing.high, candle.high);
existing.low = Math.min(existing.low, candle.low);
existing.close = candle.close;
existing.volume += candle.volume;
existing.date = candle.date;
}
return Array.from(grouped.values());
}
function periodKey(date: string, period: ChartPeriod): string {
if (period === "M") {
return date.slice(0, 7);
}
if (period === "Y") {
return date.slice(0, 4);
}
return isoWeekKey(date);
}
function isoWeekKey(date: string): string {
const value = new Date(`${date}T00:00:00.000Z`);
const day = value.getUTCDay() || 7;
value.setUTCDate(value.getUTCDate() + 4 - day);
const yearStart = new Date(Date.UTC(value.getUTCFullYear(), 0, 1));
const week = Math.ceil(((value.getTime() - yearStart.getTime()) / 86400000 + 1) / 7);
return `${value.getUTCFullYear()}-W${String(week).padStart(2, "0")}`;
}