From 912a224b6b356d1e591202cf3845b9a7d55be6a2 Mon Sep 17 00:00:00 2001 From: Sakurasan <26715255+Sakurasan@users.noreply.github.com> Date: Tue, 1 Sep 2026 04:21:29 +0800 Subject: [PATCH] =?UTF-8?q?feat:=20AI=E5=B8=82=E5=9C=BA=E5=88=86=E6=9E=90?= =?UTF-8?q?=E5=8A=9F=E8=83=BD?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 后端：AI分析服务、工具调用、定时任务 - 前端：报告列表、详情页、Mermaid图表支持 - 支持OpenAI API兼容模型 - 收盘后自动分析生成报告 --- backend/database.py | 14 + backend/main.py | 9 +- backend/routes/ai_analysis.py | 127 +++ backend/services/ai_collector.py | 56 ++ backend/services/ai_config.py | 12 + backend/services/ai_service.py | 187 ++++ backend/services/ai_tools.py | 234 +++++ package.json | 2 + pnpm-lock.yaml | 1337 +++++++++++++++++++++++++++++ src/components/Mermaid.tsx | 53 ++ src/lib/ai-analysis-api.ts | 59 ++ src/routeTree.gen.ts | 68 ++ src/routes/ai-analysis.$id.tsx | 138 +++ src/routes/ai-analysis._index.tsx | 103 +++ src/routes/ai-analysis.tsx | 29 + src/routes/index.tsx | 8 +- src/styles.css | 93 ++ 17 files changed, 2525 insertions(+), 4 deletions(-) create mode 100644 backend/routes/ai_analysis.py create mode 100644 backend/services/ai_collector.py create mode 100644 backend/services/ai_config.py create mode 100644 backend/services/ai_service.py create mode 100644 backend/services/ai_tools.py create mode 100644 src/components/Mermaid.tsx create mode 100644 src/lib/ai-analysis-api.ts mode change 100755 => 100644 src/routeTree.gen.ts create mode 100644 src/routes/ai-analysis.$id.tsx create mode 100644 src/routes/ai-analysis._index.tsx create mode 100644 src/routes/ai-analysis.tsx diff --git a/backend/database.py b/backend/database.py index 3453b62..fbec163 100644 --- a/backend/database.py +++ b/backend/database.py @@ -71,6 +71,20 @@ CREATE TABLE IF NOT EXISTS daily_top_themes ( created_at TEXT NOT NULL DEFAULT (datetime('now','localtime')), UNIQUE(trade_date, theme_code) ); + +CREATE TABLE IF NOT EXISTS ai_reports ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + trade_date TEXT NOT NULL, + report_type TEXT NOT NULL DEFAULT 'daily', + title TEXT NOT NULL, + content TEXT NOT NULL, + summary TEXT, + tools_used TEXT, + model TEXT NOT NULL, + tokens_used INTEGER, + created_at TEXT NOT NULL DEFAULT (datetime('now','localtime')), + UNIQUE(trade_date, report_type) +); """ diff --git a/backend/main.py b/backend/main.py index f3e42d4..4700e51 100644 --- a/backend/main.py +++ b/backend/main.py @@ -7,8 +7,9 @@ from contextlib import asynccontextmanager from dotenv import load_dotenv from database import init_db -from routes import stock, collections, shares, themes, core_stocks, fuyao, market_dashboard +from routes import stock, collections, shares, themes, core_stocks, fuyao, market_dashboard, ai_analysis from services.daily_collector import collector_loop, cache_cleanup_loop +from services.ai_collector import ai_analysis_loop load_dotenv() @@ -18,12 +19,13 @@ async def lifespan(app: FastAPI): init_db() collector_task = asyncio.create_task(collector_loop()) cache_cleanup_task = asyncio.create_task(cache_cleanup_loop()) + ai_analysis_task = asyncio.create_task(ai_analysis_loop()) try: yield finally: - for t in (collector_task, cache_cleanup_task): + for t in (collector_task, cache_cleanup_task, ai_analysis_task): t.cancel() - for t in (collector_task, cache_cleanup_task): + for t in (collector_task, cache_cleanup_task, ai_analysis_task): try: await t except asyncio.CancelledError: @@ -47,6 +49,7 @@ app.include_router(themes.router, prefix="/api/themes") app.include_router(core_stocks.router, prefix="/api/core-stocks") app.include_router(fuyao.router, prefix="/api/v2") app.include_router(market_dashboard.router, prefix="/api") +app.include_router(ai_analysis.router, prefix="/api") # 生产模式：后端同时托管前端静态文件 # catch-all 路由在 API 路由之后注册，所以 API 优先级更高 diff --git a/backend/routes/ai_analysis.py b/backend/routes/ai_analysis.py new file mode 100644 index 0000000..8d9dec7 --- /dev/null +++ b/backend/routes/ai_analysis.py @@ -0,0 +1,127 @@ +"""AI 分析报告路由（/api/ai-analysis） + +提供： +- 报告列表 +- 报告详情 +- 手动触发分析（12小时频率限制） +- 重新生成报告 +- 检查某日是否有报告 +""" + +import json +from datetime import datetime, timezone, timedelta + +from fastapi import APIRouter, HTTPException +from fastapi.responses import JSONResponse + +from database import get_connection, dict_from_row + +_CST = timezone(timedelta(hours=8)) +_NO_CACHE_HEADERS = {"Cache-Control": "no-store, no-cache, must-revalidate, max-age=0"} + +router = APIRouter() + + +def _has_ai_report(trade_date: str) -> bool: + conn = get_connection() + try: + row = conn.execute( + "SELECT 1 FROM ai_reports WHERE trade_date = ? AND report_type = 'daily' LIMIT 1", + (trade_date,) + ).fetchone() + return row is not None + finally: + conn.close() + + +def _can_trigger(trade_date: str) -> tuple[bool, str]: + """检查是否可以触发分析（12小时频率限制）""" + conn = get_connection() + try: + row = conn.execute( + "SELECT created_at FROM ai_reports WHERE trade_date = ? ORDER BY id DESC LIMIT 1", + (trade_date,) + ).fetchone() + if row: + last_time = datetime.strptime(row["created_at"], "%Y-%m-%d %H:%M:%S") + now = datetime.now(_CST) + if (now - last_time).total_seconds() < 12 * 3600: + return False, "12小时内已触发过，请稍后再试" + return True, "" + finally: + conn.close() + + +@router.get("/ai-analysis", summary="AI 分析报告列表") +async def list_reports(): + conn = get_connection() + try: + rows = conn.execute( + "SELECT id, trade_date, report_type, title, summary, tools_used, model, tokens_used, created_at " + "FROM ai_reports ORDER BY trade_date DESC, id DESC LIMIT 50" + ).fetchall() + items = [] + for r in rows: + item = dict_from_row(r) + item["toolsUsed"] = json.loads(item.pop("tools_used") or "[]") + items.append(item) + return JSONResponse({"data": items}, headers=_NO_CACHE_HEADERS) + finally: + conn.close() + + +@router.get("/ai-analysis/{report_id}", summary="AI 分析报告详情") +async def get_report(report_id: int): + conn = get_connection() + try: + row = conn.execute("SELECT * FROM ai_reports WHERE id = ?", (report_id,)).fetchone() + if not row: + raise HTTPException(status_code=404, detail="报告不存在") + item = dict_from_row(row) + item["toolsUsed"] = json.loads(item.pop("tools_used") or "[]") + return JSONResponse({"data": item}, headers=_NO_CACHE_HEADERS) + finally: + conn.close() + + +@router.get("/ai-analysis/check/{trade_date}", summary="检查某日是否有 AI 分析报告") +async def check_report(trade_date: str): + has = _has_ai_report(trade_date) + return JSONResponse({"data": {"hasReport": has, "tradeDate": trade_date}}) + + +@router.post("/ai-analysis/trigger", summary="手动触发今日 AI 分析") +async def trigger_analysis(): + now = datetime.now(_CST) + trade_date = now.strftime("%Y-%m-%d") + + if _has_ai_report(trade_date): + raise HTTPException(status_code=400, detail="今日已有分析报告") + + can, msg = _can_trigger(trade_date) + if not can: + raise HTTPException(status_code=429, detail=msg) + + from services.ai_service import collect_ai_analysis + result = await collect_ai_analysis(trade_date) + return JSONResponse({"data": result}) + + +@router.post("/ai-analysis/{report_id}/regenerate", summary="重新生成 AI 分析报告") +async def regenerate_report(report_id: int): + conn = get_connection() + try: + row = conn.execute("SELECT trade_date FROM ai_reports WHERE id = ?", (report_id,)).fetchone() + if not row: + raise HTTPException(status_code=404, detail="报告不存在") + trade_date = row["trade_date"] + finally: + conn.close() + + can, msg = _can_trigger(trade_date) + if not can: + raise HTTPException(status_code=429, detail=msg) + + from services.ai_service import collect_ai_analysis + result = await collect_ai_analysis(trade_date) + return JSONResponse({"data": result}) diff --git a/backend/services/ai_collector.py b/backend/services/ai_collector.py new file mode 100644 index 0000000..ffdefc8 --- /dev/null +++ b/backend/services/ai_collector.py @@ -0,0 +1,56 @@ +"""AI 分析定时任务 + +收盘后自动触发 AI 分析： +- 15:01 collector_loop 采集核心股+题材数据 +- 15:10 ai_analysis_loop 触发 AI 分析（等数据采集完成） +""" + +import asyncio +import traceback +from datetime import datetime, time as dtime, timezone, timedelta +from typing import Optional + +from database import get_connection + +_CST = timezone(timedelta(hours=8)) + +CHECK_INTERVAL_SECONDS = 300 # 每5分钟检查 +AI_ANALYSIS_TIME = dtime(15, 10) # 15:10 后触发 + + +def _is_trading_day(d: datetime) -> bool: + """仅按工作日判断""" + return d.weekday() < 5 + + +def _has_ai_report(trade_date: str) -> bool: + """检查某日是否已有 AI 分析报告""" + conn = get_connection() + try: + row = conn.execute( + "SELECT 1 FROM ai_reports WHERE trade_date = ? AND report_type = 'daily' LIMIT 1", + (trade_date,) + ).fetchone() + return row is not None + finally: + conn.close() + + +async def ai_analysis_loop(stop: Optional[asyncio.Event] = None) -> None: + """后台循环：每个交易日 15:10 后自动触发 AI 分析（幂等）""" + while True: + try: + now = datetime.now(_CST) + if _is_trading_day(now) and now.time() >= AI_ANALYSIS_TIME: + trade_date = now.strftime("%Y-%m-%d") + if not _has_ai_report(trade_date): + print(f"[ai-collector] 开始 AI 分析 {trade_date}") + from services.ai_service import collect_ai_analysis + result = await collect_ai_analysis(trade_date) + print(f"[ai-collector] AI 分析完成 {trade_date}，token 消耗: {result.get('tokens_used', 0)}") + except Exception: + print("[ai-collector] AI 分析异常：") + traceback.print_exc() + if stop is not None and stop.is_set(): + break + await asyncio.sleep(CHECK_INTERVAL_SECONDS) diff --git a/backend/services/ai_config.py b/backend/services/ai_config.py new file mode 100644 index 0000000..93a1afb --- /dev/null +++ b/backend/services/ai_config.py @@ -0,0 +1,12 @@ +"""AI 分析配置管理（从环境变量读取）""" + +import os +from dotenv import load_dotenv + +load_dotenv() + +AI_API_BASE = os.getenv("AI_API_BASE", "https://openteam.oneisall.xyz/v1") +AI_API_KEY = os.getenv("AI_API_KEY", "") +AI_MODEL = os.getenv("AI_MODEL", "deepseek-v4-flash") +AI_MAX_TOKENS = int(os.getenv("AI_MAX_TOKENS", "4096")) +AI_TEMPERATURE = float(os.getenv("AI_TEMPERATURE", "0.7")) diff --git a/backend/services/ai_service.py b/backend/services/ai_service.py new file mode 100644 index 0000000..26eb81e --- /dev/null +++ b/backend/services/ai_service.py @@ -0,0 +1,187 @@ +"""AI 分析核心服务 + +负责： +1. 调用 OpenAI 兼容 API 进行分析 +2. Function Calling 循环（AI 可主动获取数据） +3. 保存报告到数据库 +""" + +import json +import httpx +from datetime import datetime, timezone, timedelta + +from services.ai_config import AI_API_BASE, AI_API_KEY, AI_MODEL, AI_MAX_TOKENS, AI_TEMPERATURE +from services.ai_tools import TOOLS, execute_tool +from database import get_connection + +_CST = timezone(timedelta(hours=8)) + +SYSTEM_PROMPT = """你是一位专业的A股市场分析师，擅长从数据中发现投资机会。 + +你的分析风格： +- 数据驱动，基于真实数据而非主观臆断 +- 逻辑清晰，先总后分，层层递进 +- 观点明确，给出具体的操作建议 +- 风险提示，每次推荐都需说明风险点 + +可用工具： +- get_market_dashboard: 获取市场整体数据（指数/涨跌统计/行业强度/事件情报/市场温度） +- get_theme_history: 获取指定日期的题材涨幅排行 +- get_active_core_stocks: 获取核心股追踪数据（10日涨幅矩阵+所属题材） +- get_stock_quote: 获取个股实时行情 +- get_fund_flow: 获取个股资金流向 + +重要规则： +1. 你必须先调用工具获取数据，然后基于数据进行分析 +2. 不要凭空编造数据，所有数据必须来自工具返回 +3. 如果工具返回空数据，如实说明数据不可用 +4. 分析完成后给出明确的结论和建议""" + +DAILY_ANALYSIS_PROMPT = """请对 {trade_date} 的A股市场进行收盘分析，生成一份完整的分析报告。 + +请先调用以下工具获取数据： +1. get_market_dashboard - 获取市场整体数据 +2. get_theme_history(date="{trade_date}") - 获取今日题材涨幅 +3. get_active_core_stocks - 获取核心股数据 + +然后基于数据生成报告，结构如下： + +## 一、市场总览 +- 主要指数表现（上证、深证、创业板） +- 涨跌家数统计 +- 市场温度评估 + +## 二、题材热点分析 +- 今日涨幅前5题材 +- 持续活跃的题材 +- 新兴热点题材 + +## 三、核心股追踪 +- 连板股分析 +- 核心股表现 +- 龙头股辨识 + +## 四、关注方向 +- 明日值得关注的题材方向 +- 潜在的交易机会 + +## 五、风险提示 +- 需要警惕的风险因素 +- 操作建议 + +请用 Markdown 格式输出，适当使用表格展示数据对比。""" + + +async def call_llm(messages: list, tools: list = None) -> dict: + """调用 OpenAI 兼容 API""" + async with httpx.AsyncClient() as client: + payload = { + "model": AI_MODEL, + "messages": messages, + "max_tokens": AI_MAX_TOKENS, + "temperature": AI_TEMPERATURE, + } + if tools: + payload["tools"] = tools + payload["tool_choice"] = "auto" + + resp = await client.post( + f"{AI_API_BASE}/chat/completions", + headers={ + "Authorization": f"Bearer {AI_API_KEY}", + "Content-Type": "application/json", + }, + json=payload, + timeout=120, + ) + resp.raise_for_status() + return resp.json() + + +async def collect_ai_analysis(trade_date: str) -> dict: + """AI 分析主流程 + + Args: + trade_date: 交易日 YYYY-MM-DD + + Returns: + {"id": int, "tokens_used": int, "tools_used": list} + """ + messages = [ + {"role": "system", "content": SYSTEM_PROMPT}, + {"role": "user", "content": DAILY_ANALYSIS_PROMPT.format(trade_date=trade_date)} + ] + + tools_used = [] + total_tokens = 0 + final_content = "" + was_truncated = False + + for i in range(8): + response = await call_llm(messages, tools=TOOLS) + total_tokens += response.get("usage", {}).get("total_tokens", 0) + + choice = response["choices"][0] + message = choice["message"] + messages.append(message) + + finish_reason = choice.get("finish_reason", "") + + if finish_reason == "stop": + final_content = message.get("content") or "" + break + + if finish_reason == "length": + # 响应被截断，保存已生成的内容 + was_truncated = True + final_content = message.get("content") or "" + if not final_content: + # 如果当前消息没有内容，尝试从之前的消息中提取 + for msg in reversed(messages): + if msg.get("role") == "assistant" and msg.get("content"): + final_content = msg["content"] + break + print(f"[ai-service] 警告：响应被截断 (finish_reason=length)") + break + + if finish_reason == "tool_calls": + for tool_call in message.get("tool_calls", []): + func_name = tool_call["function"]["name"] + func_args = json.loads(tool_call["function"]["arguments"]) + tools_used.append(func_name) + + result = await execute_tool(func_name, func_args) + messages.append({ + "role": "tool", + "tool_call_id": tool_call["id"], + "content": result + }) + + summary = final_content[:200].replace("\n", " ") if final_content else "" + report_id = _save_report(trade_date, final_content, summary, tools_used, total_tokens) + + return {"id": report_id, "tokens_used": total_tokens, "tools_used": tools_used, "truncated": was_truncated} + + +def _save_report(trade_date: str, content: str, summary: str, tools_used: list, tokens_used: int) -> int: + """保存报告到数据库""" + conn = get_connection() + try: + cursor = conn.execute( + """INSERT OR REPLACE INTO ai_reports + (trade_date, report_type, title, content, summary, tools_used, model, tokens_used) + VALUES (?, 'daily', ?, ?, ?, ?, ?, ?)""", + ( + trade_date, + f"{trade_date} A股收盘分析", + content, + summary, + json.dumps(tools_used), + AI_MODEL, + tokens_used, + ) + ) + conn.commit() + return cursor.lastrowid + finally: + conn.close() diff --git a/backend/services/ai_tools.py b/backend/services/ai_tools.py new file mode 100644 index 0000000..96f99ea --- /dev/null +++ b/backend/services/ai_tools.py @@ -0,0 +1,234 @@ +"""Function Calling 工具定义和执行器 + +让 AI 可以主动调用现有 API 获取市场数据： +- get_market_dashboard: 市场看板 +- get_theme_history: 题材热点历史 +- get_active_core_stocks: 核心股追踪 +- get_stock_quote: 个股实时行情 +- get_fund_flow: 资金流向 +""" + +import json +from services.ai_config import AI_API_BASE, AI_API_KEY, AI_MODEL, AI_MAX_TOKENS, AI_TEMPERATURE + +TOOLS = [ + { + "type": "function", + "function": { + "name": "get_market_dashboard", + "description": "获取A股市场看板数据，包含主要指数行情、涨跌统计、行业强度、概念热度、事件情报、市场温度评分", + "parameters": {"type": "object", "properties": {}, "required": []} + } + }, + { + "type": "function", + "function": { + "name": "get_theme_history", + "description": "获取指定交易日的题材涨幅排行前20", + "parameters": { + "type": "object", + "properties": { + "date": {"type": "string", "description": "交易日 YYYY-MM-DD"} + }, + "required": ["date"] + } + } + }, + { + "type": "function", + "function": { + "name": "get_active_core_stocks", + "description": "获取活跃核心股列表，包含最近10日涨幅矩阵和所属题材", + "parameters": {"type": "object", "properties": {}, "required": []} + } + }, + { + "type": "function", + "function": { + "name": "get_stock_quote", + "description": "获取单只股票实时行情（价格、涨跌幅、成交量、换手率等）", + "parameters": { + "type": "object", + "properties": { + "code": {"type": "string", "description": "6位股票代码，如 600519"} + }, + "required": ["code"] + } + } + }, + { + "type": "function", + "function": { + "name": "get_fund_flow", + "description": "获取个股资金流向数据（主力净流入、超大单/大单/中单/小单流入流出）", + "parameters": { + "type": "object", + "properties": { + "code": {"type": "string", "description": "6位股票代码"}, + "name": {"type": "string", "description": "股票名称"}, + "days": {"type": "integer", "description": "获取天数，默认30"} + }, + "required": ["code", "name"] + } + } + } +] + + +async def execute_tool(tool_name: str, arguments: dict) -> str: + """执行工具调用，返回 JSON 字符串""" + try: + if tool_name == "get_market_dashboard": + return await _get_market_dashboard() + elif tool_name == "get_theme_history": + return await _get_theme_history(arguments.get("date", "")) + elif tool_name == "get_active_core_stocks": + return await _get_active_core_stocks() + elif tool_name == "get_stock_quote": + return await _get_stock_quote(arguments.get("code", "")) + elif tool_name == "get_fund_flow": + return await _get_fund_flow( + arguments.get("code", ""), + arguments.get("name", ""), + arguments.get("days", 30) + ) + else: + return json.dumps({"error": f"未知工具: {tool_name}"}) + except Exception as e: + return json.dumps({"error": str(e)}) + + +async def _get_market_dashboard() -> str: + """获取市场看板数据""" + from routes.market_dashboard import _build_dashboard + data = await _build_dashboard() + return json.dumps(data, ensure_ascii=False, default=str) + + +async def _get_theme_history(date: str) -> str: + """获取指定交易日题材涨幅前20""" + from database import get_connection + conn = get_connection() + try: + rows = conn.execute( + "SELECT * FROM daily_top_themes WHERE trade_date = ? ORDER BY rank ASC", + (date,) + ).fetchall() + items = [dict(r) for r in rows] + return json.dumps({"date": date, "items": items}, ensure_ascii=False) + finally: + conn.close() + + +async def _get_active_core_stocks() -> str: + """获取活跃核心股列表""" + from database import get_connection + from datetime import date as date_cls + conn = get_connection() + try: + # 最近10个有数据的交易日 + rows = conn.execute( + "SELECT DISTINCT trade_date FROM daily_core_stocks ORDER BY trade_date DESC LIMIT 10" + ).fetchall() + dates = [r["trade_date"] for r in reversed(rows)] + + if not dates: + return json.dumps({"dates": [], "stocks": []}, ensure_ascii=False) + + placeholders = ",".join("?" * len(dates)) + rows = conn.execute( + f"""SELECT trade_date, stock_code, stock_name, f3, cover_count FROM daily_core_stocks + WHERE trade_date IN ({placeholders}) + ORDER BY trade_date DESC, rank ASC""", + dates, + ).fetchall() + + stock_days = {} + for r in rows: + code = r["stock_code"] + s = stock_days.setdefault(code, { + "stockCode": code, + "stockName": r["stock_name"], + "coverCount": r["cover_count"], + "dailyGains": {}, + "appearCount": 0, + "lastAppear": None, + }) + s["dailyGains"][r["trade_date"]] = r["f3"] + s["appearCount"] += 1 + if s["lastAppear"] is None or r["trade_date"] > s["lastAppear"]: + s["lastAppear"] = r["trade_date"] + + stocks = list(stock_days.values()) + stocks.sort(key=lambda x: x.get("lastAppear") or "", reverse=True) + stocks.sort(key=lambda x: -x["appearCount"]) + + themes_rows = conn.execute( + f"""SELECT stock_code, theme_code, theme_name FROM daily_core_stock_themes + WHERE trade_date IN ({placeholders})""", + dates, + ).fetchall() + themes_by_stock = {} + for t in themes_rows: + per = themes_by_stock.setdefault(t["stock_code"], {}) + per.setdefault(t["theme_code"], {"theme_code": t["theme_code"], "theme_name": t["theme_name"]}) + for s in stocks: + s["themes"] = list(themes_by_stock.get(s["stockCode"], {}).values()) + + latest = dates[-1] if dates else None + for s in stocks: + if s.get("lastAppear") and latest: + try: + d1 = date_cls.fromisoformat(latest) + d2 = date_cls.fromisoformat(s["lastAppear"]) + s["daysSinceLastAppear"] = (d1 - d2).days + except ValueError: + s["daysSinceLastAppear"] = 0 + else: + s["daysSinceLastAppear"] = 0 + + return json.dumps({"dates": dates, "stocks": stocks}, ensure_ascii=False) + finally: + conn.close() + + +async def _get_stock_quote(code: str) -> str: + """获取个股实时行情""" + from services.tencent import fetch_quote + data = await fetch_quote(code) + if not data: + return json.dumps({"error": f"未找到股票 {code} 的数据"}) + return json.dumps(data, ensure_ascii=False) + + +async def _get_fund_flow(code: str, name: str, days: int) -> str: + """获取个股资金流向""" + from services.tencent import fetch_quote, get_market_prefix + from database import get_connection + + # 先尝试从本地数据库获取历史资金流向 + conn = get_connection() + try: + rows = conn.execute( + "SELECT * FROM cache WHERE key LIKE ? AND expires_at > datetime('now','localtime')", + (f"fund_flow:{code}%",) + ).fetchall() + if rows: + return rows[0]["value"] + finally: + conn.close() + + # 降级：通过腾讯获取基础行情数据 + quote = await fetch_quote(code) + if not quote: + return json.dumps({"error": f"未找到股票 {code} 的数据"}) + + return json.dumps({ + "code": code, + "name": name or quote.get("name", ""), + "currentPrice": quote.get("currentPrice", 0), + "changePercent": quote.get("changePercent", 0), + "volume": quote.get("volume", 0), + "amount": quote.get("amount", 0), + "note": "资金流向详细数据需通过东方财富API获取" + }, ensure_ascii=False) diff --git a/package.json b/package.json index 61282e2..95cb844 100755 --- a/package.json +++ b/package.json @@ -51,10 +51,12 @@ "input-otp": "^1.4.2", "lightweight-charts": "^5.2.1", "lucide-react": "^0.575.0", + "mermaid": "^11.17.2", "react": "^19.2.7", "react-day-picker": "^9.14.0", "react-dom": "^19.2.7", "react-hook-form": "^7.81.0", + "react-markdown": "^10.1.0", "react-resizable-panels": "^4.12.1", 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transitivePeerDependencies: + - supports-color + + mdast-util-mdx-jsx@3.2.0: + dependencies: + '@types/estree-jsx': 1.0.5 + '@types/hast': 3.0.5 + '@types/mdast': 4.0.4 + '@types/unist': 3.0.3 + ccount: 2.0.1 + devlop: 1.1.0 + mdast-util-from-markdown: 2.0.3 + mdast-util-to-markdown: 2.0.0 + parse-entities: 4.0.2 + stringify-entities: 4.0.4 + unist-util-stringify-position: 4.0.0 + vfile-message: 4.0.3 + transitivePeerDependencies: + - supports-color + + mdast-util-mdxjs-esm@2.0.1: + dependencies: + '@types/estree-jsx': 1.0.5 + '@types/hast': 3.0.5 + '@types/mdast': 4.0.4 + devlop: 1.1.0 + mdast-util-from-markdown: 2.0.3 + mdast-util-to-markdown: 2.0.0 + transitivePeerDependencies: + - supports-color + + mdast-util-phrasing@4.1.0: + dependencies: + '@types/mdast': 4.0.4 + unist-util-is: 6.0.1 + + mdast-util-to-hast@13.2.1: + dependencies: + '@types/hast': 3.0.5 + '@types/mdast': 4.0.4 + '@ungap/structured-clone': 1.4.0 + devlop: 1.1.0 + micromark-util-sanitize-uri: 2.0.0 + trim-lines: 3.0.1 + unist-util-position: 5.0.0 + unist-util-visit: 5.1.0 + vfile: 6.0.3 + + mdast-util-to-markdown@2.0.0: + dependencies: + '@types/mdast': 4.0.4 + '@types/unist': 3.0.3 + longest-streak: 3.1.0 + mdast-util-phrasing: 4.1.0 + mdast-util-to-string: 4.0.0 + micromark-util-decode-string: 2.0.1 + unist-util-visit: 5.1.0 + zwitch: 2.0.4 + + mdast-util-to-string@4.0.0: + dependencies: + '@types/mdast': 4.0.4 + + mermaid@11.17.2: + dependencies: + '@braintree/sanitize-url': 7.1.2 + '@iconify/utils': 3.1.4 + '@mermaid-js/parser': 1.2.1 + '@types/d3': 7.4.3 + '@upsetjs/venn.js': 2.0.0 + cytoscape: 3.34.2 + cytoscape-cose-bilkent: 4.1.0(cytoscape@3.34.2) + cytoscape-fcose: 2.2.0(cytoscape@3.34.2) + d3: 7.9.0 + d3-sankey: 0.12.3 + dagre-d3-es: 7.0.14 + dayjs: 1.11.23 + dompurify: 3.4.14 + es-toolkit: 1.52.0 + fastdom: 1.0.12 + katex: 0.16.47 + khroma: 2.1.0 + marked: 16.3.0 + roughjs: 4.6.6 + stylis: 4.4.0 + ts-dedent: 2.3.0 + uuid: 14.0.2 + + micromark-core-commonmark@2.0.0: + dependencies: + decode-named-character-reference: 1.3.0 + devlop: 1.1.0 + micromark-factory-destination: 2.0.0 + micromark-factory-label: 2.0.0 + micromark-factory-space: 2.0.0 + micromark-factory-title: 2.0.0 + micromark-factory-whitespace: 2.0.0 + micromark-util-character: 2.0.0 + micromark-util-chunked: 2.0.0 + micromark-util-classify-character: 2.0.0 + micromark-util-html-tag-name: 2.0.0 + micromark-util-normalize-identifier: 2.0.0 + micromark-util-resolve-all: 2.0.0 + micromark-util-subtokenize: 2.0.0 + micromark-util-symbol: 2.0.0 + micromark-util-types: 2.0.0 + + micromark-factory-destination@2.0.0: + dependencies: + micromark-util-character: 2.0.0 + micromark-util-symbol: 2.0.0 + micromark-util-types: 2.0.0 + + micromark-factory-label@2.0.0: + dependencies: + devlop: 1.1.0 + micromark-util-character: 2.0.0 + micromark-util-symbol: 2.0.0 + micromark-util-types: 2.0.0 + + micromark-factory-space@2.0.0: + dependencies: + micromark-util-character: 2.0.0 + micromark-util-types: 2.0.0 + + micromark-factory-title@2.0.0: + dependencies: + micromark-factory-space: 2.0.0 + micromark-util-character: 2.0.0 + micromark-util-symbol: 2.0.0 + micromark-util-types: 2.0.0 + + micromark-factory-whitespace@2.0.0: + dependencies: + micromark-factory-space: 2.0.0 + micromark-util-character: 2.0.0 + micromark-util-symbol: 2.0.0 + micromark-util-types: 2.0.0 + + micromark-util-character@2.0.0: + dependencies: + micromark-util-symbol: 2.0.0 + micromark-util-types: 2.0.0 + + micromark-util-chunked@2.0.0: + dependencies: + micromark-util-symbol: 2.0.0 + + micromark-util-classify-character@2.0.0: + dependencies: + micromark-util-character: 2.0.0 + micromark-util-symbol: 2.0.0 + micromark-util-types: 2.0.0 + + micromark-util-combine-extensions@2.0.0: + dependencies: + micromark-util-chunked: 2.0.0 + micromark-util-types: 2.0.0 + + micromark-util-decode-numeric-character-reference@2.0.0: + dependencies: + micromark-util-symbol: 2.0.0 + + micromark-util-decode-string@2.0.1: + dependencies: + decode-named-character-reference: 1.3.0 + micromark-util-character: 2.0.0 + micromark-util-decode-numeric-character-reference: 2.0.0 + micromark-util-symbol: 2.0.0 + + micromark-util-encode@2.0.0: {} + + micromark-util-html-tag-name@2.0.0: {} + + micromark-util-normalize-identifier@2.0.0: + dependencies: + micromark-util-symbol: 2.0.0 + + micromark-util-resolve-all@2.0.0: + dependencies: + micromark-util-types: 2.0.0 + + micromark-util-sanitize-uri@2.0.0: + dependencies: + micromark-util-character: 2.0.0 + micromark-util-encode: 2.0.0 + micromark-util-symbol: 2.0.0 + + micromark-util-subtokenize@2.0.0: + dependencies: + devlop: 1.1.0 + micromark-util-chunked: 2.0.0 + micromark-util-symbol: 2.0.0 + micromark-util-types: 2.0.0 + + micromark-util-symbol@2.0.0: {} + + micromark-util-types@2.0.0: {} + + micromark@4.0.0: + dependencies: + '@types/debug': 4.1.13 + debug: 4.4.3 + decode-named-character-reference: 1.3.0 + devlop: 1.1.0 + micromark-core-commonmark: 2.0.0 + micromark-factory-space: 2.0.0 + micromark-util-character: 2.0.0 + micromark-util-chunked: 2.0.0 + micromark-util-combine-extensions: 2.0.0 + micromark-util-decode-numeric-character-reference: 2.0.0 + micromark-util-encode: 2.0.0 + micromark-util-normalize-identifier: 2.0.0 + micromark-util-resolve-all: 2.0.0 + micromark-util-sanitize-uri: 2.0.0 + micromark-util-subtokenize: 2.0.0 + micromark-util-symbol: 2.0.0 + micromark-util-types: 2.0.0 + transitivePeerDependencies: + - supports-color + motion-dom@11.18.1: dependencies: motion-utils: 11.18.1 @@ -3637,12 +4829,33 @@ snapshots: object-assign@4.1.1: {} + package-manager-detector@1.8.0: {} + + parse-entities@4.0.2: + dependencies: + '@types/unist': 2.0.11 + character-entities-legacy: 3.0.0 + character-reference-invalid: 2.0.1 + decode-named-character-reference: 1.3.0 + is-alphanumerical: 2.0.1 + is-decimal: 2.0.1 + is-hexadecimal: 2.0.1 + + path-data-parser@0.1.0: {} + pathe@2.0.3: {} picocolors@1.1.1: {} picomatch@4.0.5: {} + points-on-curve@0.2.0: {} + + points-on-path@0.2.1: + dependencies: + path-data-parser: 0.1.0 + points-on-curve: 0.2.0 + postcss@8.5.16: dependencies: nanoid: 3.3.15 @@ -3657,6 +4870,8 @@ snapshots: object-assign: 4.1.1 react-is: 16.13.1 + property-information@7.2.0: {} + react-day-picker@9.14.0(react@19.2.7): dependencies: '@date-fns/tz': 1.5.0 @@ -3678,6 +4893,24 @@ snapshots: react-is@18.3.1: {} + react-markdown@10.1.0(@types/react@19.2.17)(react@19.2.7): + dependencies: + '@types/hast': 3.0.5 + '@types/mdast': 4.0.4 + '@types/react': 19.2.17 + devlop: 1.1.0 + hast-util-to-jsx-runtime: 2.3.6 + html-url-attributes: 3.0.1 + mdast-util-to-hast: 13.2.1 + react: 19.2.7 + remark-parse: 11.0.0 + remark-rehype: 11.1.2 + unified: 11.0.0 + unist-util-visit: 5.1.0 + vfile: 6.0.3 + transitivePeerDependencies: + - supports-color + react-refresh@0.18.0: {} react-remove-scroll-bar@2.3.8(@types/react@19.2.17)(react@19.2.7): @@ -3750,6 +4983,25 @@ snapshots: tiny-invariant: 1.3.3 victory-vendor: 36.9.2 + remark-parse@11.0.0: + dependencies: + '@types/mdast': 4.0.4 + mdast-util-from-markdown: 2.0.3 + micromark-util-types: 2.0.0 + unified: 11.0.0 + transitivePeerDependencies: + - supports-color + + remark-rehype@11.1.2: + dependencies: + '@types/hast': 3.0.5 + '@types/mdast': 4.0.4 + mdast-util-to-hast: 13.2.1 + unified: 11.0.0 + vfile: 6.0.3 + + robust-predicates@3.0.3: {} + rollup@4.62.2: dependencies: '@types/estree': 1.0.9 @@ -3781,6 +5033,17 @@ snapshots: '@rollup/rollup-win32-x64-msvc': 4.62.2 fsevents: 2.3.3 + roughjs@4.6.6: + dependencies: + hachure-fill: 0.5.2 + path-data-parser: 0.1.0 + points-on-curve: 0.2.0 + points-on-path: 0.2.1 + + rw@1.3.3: {} + + safer-buffer@2.1.2: {} + scheduler@0.27.0: {} semver@6.3.1: {} @@ -3800,6 +5063,25 @@ snapshots: source-map-js@1.2.1: {} + space-separated-tokens@2.0.2: {} + + strictdom@1.0.1: {} + + stringify-entities@4.0.4: + dependencies: + character-entities-html4: 2.1.0 + character-entities-legacy: 3.0.0 + + style-to-js@1.0.0: + dependencies: + style-to-object: 0.3.0 + + style-to-object@0.3.0: + dependencies: + inline-style-parser: 0.1.1 + + stylis@4.4.0: {} + tailwind-merge@3.6.0: {} tailwindcss@4.3.2: {} @@ -3808,11 +5090,19 @@ snapshots: tiny-invariant@1.3.3: {} + tinyexec@1.3.0: {} + tinyglobby@0.2.17: dependencies: fdir: 6.5.0(picomatch@4.0.5) picomatch: 4.0.5 + trim-lines@3.0.1: {} + + trough@2.2.0: {} + + ts-dedent@2.3.0: {} + tsconfck@3.1.6(typescript@5.9.3): optionalDependencies: typescript: 5.9.3 @@ -3832,6 +5122,39 @@ snapshots: undici-types@6.21.0: {} + unified@11.0.0: + dependencies: + '@types/unist': 3.0.3 + '@ungap/structured-clone': 1.4.0 + bail: 2.0.2 + devlop: 1.1.0 + is-plain-obj: 4.1.0 + trough: 2.2.0 + vfile: 6.0.3 + + unist-util-is@6.0.1: + dependencies: + '@types/unist': 3.0.3 + + unist-util-position@5.0.0: + dependencies: + '@types/unist': 3.0.3 + + unist-util-stringify-position@4.0.0: + dependencies: + '@types/unist': 3.0.3 + + unist-util-visit-parents@6.0.2: + dependencies: + '@types/unist': 3.0.3 + unist-util-is: 6.0.1 + + unist-util-visit@5.1.0: + dependencies: + '@types/unist': 3.0.3 + unist-util-is: 6.0.1 + unist-util-visit-parents: 6.0.2 + unplugin@3.3.0(esbuild@0.28.1)(rollup@4.62.2)(vite@7.3.6(@types/node@22.20.0)(jiti@2.7.0)(lightningcss@1.32.0)(tsx@4.22.5)): dependencies: '@jridgewell/remapping': 2.3.5 @@ -3867,6 +5190,8 @@ snapshots: dependencies: react: 19.2.7 + uuid@14.0.2: {} + vaul@1.1.2(@types/react-dom@19.2.4(@types/react@19.2.17))(@types/react@19.2.17)(react-dom@19.2.7(react@19.2.7))(react@19.2.7): dependencies: '@radix-ui/react-dialog': 1.1.18(@types/react-dom@19.2.4(@types/react@19.2.17))(@types/react@19.2.17)(react-dom@19.2.7(react@19.2.7))(react@19.2.7) @@ -3876,6 +5201,16 @@ snapshots: - '@types/react' - '@types/react-dom' + vfile-message@4.0.3: + dependencies: + '@types/unist': 3.0.3 + unist-util-stringify-position: 4.0.0 + + vfile@6.0.3: + dependencies: + '@types/unist': 3.0.3 + vfile-message: 4.0.3 + victory-vendor@36.9.2: dependencies: '@types/d3-array': 3.2.2 @@ -3925,3 +5260,5 @@ snapshots: zod@3.25.76: {} zod@4.4.3: {} + + zwitch@2.0.4: {} diff --git a/src/components/Mermaid.tsx b/src/components/Mermaid.tsx new file mode 100644 index 0000000..b7480bf --- /dev/null +++ b/src/components/Mermaid.tsx @@ -0,0 +1,53 @@ +import { useEffect, useRef, useState } from "react"; +import mermaid from "mermaid"; + +mermaid.initialize({ + startOnLoad: false, + theme: "dark", + themeVariables: { + primaryColor: "#21262d", + primaryTextColor: "#e6edf3", + primaryBorderColor: "#30363d", + lineColor: "#58a6ff", + secondaryColor: "#161b22", + tertiaryColor: "#0d1117", + fontFamily: "inherit", + fontSize: "14px", + }, +}); + +interface MermaidProps { + chart: string; +} + +export function Mermaid({ chart }: MermaidProps) { + const ref = useRef(null); + const [svg, setSvg] = useState(""); + const [error, setError] = useState(""); + + useEffect(() => { + if (!ref.current) return; + const id = `mermaid-${Math.random().toString(36).slice(2, 9)}`; + + mermaid + .render(id, chart) + .then(({ svg }) => setSvg(svg)) + .catch((err) => setError(err.message || "图表渲染失败")); + }, [chart]); + + if (error) { + return ( + 
+        {error}
+
+ ); + } + + return ( +
+ ); +} diff --git a/src/lib/ai-analysis-api.ts b/src/lib/ai-analysis-api.ts new file mode 100644 index 0000000..10164af --- /dev/null +++ b/src/lib/ai-analysis-api.ts @@ -0,0 +1,59 @@ +// AI 分析报告 API 客户端 + +import { getApiBaseUrl } from "./api-client"; + +const API_BASE = getApiBaseUrl(); + +export interface AiReport { + id: number; + trade_date: string; + report_type: string; + title: string; + content: string; + summary: string | null; + toolsUsed: string[]; + model: string; + tokens_used: number; + created_at: string; +} + +export async function fetchAiReports(): Promise { + const resp = await fetch(`${API_BASE}/api/ai-analysis`); + if (!resp.ok) throw new Error(`请求失败 (${resp.status})`); + const result = await resp.json(); + return result.data || []; +} + +export async function fetchAiReport(id: number): Promise { + const resp = await fetch(`${API_BASE}/api/ai-analysis/${id}`); + if (!resp.ok) throw new Error(`请求失败 (${resp.status})`); + const result = await resp.json(); + return result.data; +} + +export async function checkAiReport(tradeDate: string): Promise { + const resp = await fetch(`${API_BASE}/api/ai-analysis/check/${tradeDate}`); + if (!resp.ok) return false; + const result = await resp.json(); + return result.data?.hasReport || false; +} + +export async function triggerAiAnalysis(): Promise<{ id: number; tokens_used: number }> { + const resp = await fetch(`${API_BASE}/api/ai-analysis/trigger`, { method: "POST" }); + if (!resp.ok) { + const err = await resp.json().catch(() => ({})); + throw new Error(err.detail || "触发失败"); + } + const result = await resp.json(); + return result.data; +} + +export async function regenerateAiReport(id: number): Promise<{ id: number; tokens_used: number }> { + const resp = await fetch(`${API_BASE}/api/ai-analysis/${id}/regenerate`, { method: "POST" }); + if (!resp.ok) { + const err = await resp.json().catch(() => ({})); + throw new Error(err.detail || "重新生成失败"); + } + const result = await resp.json(); + return result.data; +} diff --git a/src/routeTree.gen.ts b/src/routeTree.gen.ts old mode 100755 new mode 100644 index f3900f0..56f50ef --- a/src/routeTree.gen.ts +++ b/src/routeTree.gen.ts @@ -14,10 +14,13 @@ import { Route as ThemeHistoryRouteImport } from './routes/theme-history' import { Route as HotMapRouteImport } from './routes/hot-map' import { Route as DashboardRouteImport } from './routes/dashboard' import { Route as CoreStocksRouteImport } from './routes/core-stocks' +import { Route as AiAnalysisRouteImport } from './routes/ai-analysis' import { Route as IndexRouteImport } from './routes/index' import { Route as ThemeCodeRouteImport } from './routes/theme.$code' import { Route as StockCodeRouteImport } from './routes/stock.$code' import { Route as ShareCodeRouteImport } from './routes/share.$code' +import { Route as AiAnalysisIndexRouteImport } from './routes/ai-analysis._index' +import { Route as AiAnalysisIdRouteImport } from './routes/ai-analysis.$id' const ThemesRoute = ThemesRouteImport.update({ id: '/themes', @@ -44,6 +47,11 @@ const CoreStocksRoute = CoreStocksRouteImport.update({ path: '/core-stocks', getParentRoute: () => rootRouteImport, } as any) +const AiAnalysisRoute = AiAnalysisRouteImport.update({ + id: '/ai-analysis', + path: '/ai-analysis', + getParentRoute: () => rootRouteImport, +} as any) const IndexRoute = IndexRouteImport.update({ id: '/', path: '/', @@ -64,25 +72,38 @@ const ShareCodeRoute = ShareCodeRouteImport.update({ path: '/share/$code', getParentRoute: () => rootRouteImport, } as any) +const AiAnalysisIndexRoute = AiAnalysisIndexRouteImport.update({ + id: '/_index', + getParentRoute: () => AiAnalysisRoute, +} as any) +const AiAnalysisIdRoute = AiAnalysisIdRouteImport.update({ + id: '/$id', + path: '/$id', + getParentRoute: () => AiAnalysisRoute, +} as any) export interface FileRoutesByFullPath { '/': typeof IndexRoute + '/ai-analysis': typeof AiAnalysisRouteWithChildren '/core-stocks': typeof CoreStocksRoute '/dashboard': typeof DashboardRoute '/hot-map': typeof HotMapRoute '/theme-history': typeof ThemeHistoryRoute '/themes': typeof ThemesRoute + '/ai-analysis/$id': typeof AiAnalysisIdRoute '/share/$code': typeof ShareCodeRoute '/stock/$code': typeof StockCodeRoute '/theme/$code': typeof ThemeCodeRoute } export interface FileRoutesByTo { '/': typeof IndexRoute + '/ai-analysis': typeof AiAnalysisRouteWithChildren '/core-stocks': typeof CoreStocksRoute '/dashboard': typeof DashboardRoute '/hot-map': typeof HotMapRoute '/theme-history': typeof ThemeHistoryRoute '/themes': typeof ThemesRoute + '/ai-analysis/$id': typeof AiAnalysisIdRoute '/share/$code': typeof ShareCodeRoute '/stock/$code': typeof StockCodeRoute '/theme/$code': typeof ThemeCodeRoute @@ -90,11 +111,14 @@ export interface FileRoutesByTo { export interface FileRoutesById { __root__: typeof rootRouteImport '/': typeof IndexRoute + '/ai-analysis': typeof AiAnalysisRouteWithChildren '/core-stocks': typeof CoreStocksRoute '/dashboard': typeof DashboardRoute '/hot-map': typeof HotMapRoute '/theme-history': typeof ThemeHistoryRoute '/themes': typeof ThemesRoute + '/ai-analysis/$id': typeof AiAnalysisIdRoute + '/ai-analysis/_index': typeof AiAnalysisIndexRoute '/share/$code': typeof ShareCodeRoute '/stock/$code': typeof StockCodeRoute '/theme/$code': typeof ThemeCodeRoute @@ -103,33 +127,40 @@ export interface FileRouteTypes { fileRoutesByFullPath: FileRoutesByFullPath fullPaths: | '/' + | '/ai-analysis' | '/core-stocks' | '/dashboard' | '/hot-map' | '/theme-history' | '/themes' + | '/ai-analysis/$id' | '/share/$code' | '/stock/$code' | '/theme/$code' fileRoutesByTo: FileRoutesByTo to: | '/' + | '/ai-analysis' | '/core-stocks' | '/dashboard' | '/hot-map' | '/theme-history' | '/themes' + | '/ai-analysis/$id' | '/share/$code' | '/stock/$code' | '/theme/$code' id: | '__root__' | '/' + | '/ai-analysis' | '/core-stocks' | '/dashboard' | '/hot-map' | '/theme-history' | '/themes' + | '/ai-analysis/$id' + | '/ai-analysis/_index' | '/share/$code' | '/stock/$code' | '/theme/$code' @@ -137,6 +168,7 @@ export interface FileRouteTypes { } export interface RootRouteChildren { IndexRoute: typeof IndexRoute + AiAnalysisRoute: typeof AiAnalysisRouteWithChildren CoreStocksRoute: typeof CoreStocksRoute DashboardRoute: typeof DashboardRoute HotMapRoute: typeof HotMapRoute @@ -184,6 +216,13 @@ declare module '@tanstack/react-router' { preLoaderRoute: typeof CoreStocksRouteImport parentRoute: typeof rootRouteImport } + '/ai-analysis': { + id: '/ai-analysis' + path: '/ai-analysis' + fullPath: '/ai-analysis' + preLoaderRoute: typeof AiAnalysisRouteImport + parentRoute: typeof rootRouteImport + } '/': { id: '/' path: '/' @@ -212,11 +251,40 @@ declare module '@tanstack/react-router' { preLoaderRoute: typeof ShareCodeRouteImport parentRoute: typeof rootRouteImport } + '/ai-analysis/_index': { + id: '/ai-analysis/_index' + path: '' + fullPath: '/ai-analysis' + preLoaderRoute: typeof AiAnalysisIndexRouteImport + parentRoute: typeof AiAnalysisRoute + } + '/ai-analysis/$id': { + id: '/ai-analysis/$id' + path: '/$id' + fullPath: '/ai-analysis/$id' + preLoaderRoute: typeof AiAnalysisIdRouteImport + parentRoute: typeof AiAnalysisRoute + } } } +interface AiAnalysisRouteChildren { + AiAnalysisIdRoute: typeof AiAnalysisIdRoute + AiAnalysisIndexRoute: typeof AiAnalysisIndexRoute +} + +const AiAnalysisRouteChildren: AiAnalysisRouteChildren = { + AiAnalysisIdRoute: AiAnalysisIdRoute, + AiAnalysisIndexRoute: AiAnalysisIndexRoute, +} + +const AiAnalysisRouteWithChildren = AiAnalysisRoute._addFileChildren( + AiAnalysisRouteChildren, +) + const rootRouteChildren: RootRouteChildren = { IndexRoute: IndexRoute, + AiAnalysisRoute: AiAnalysisRouteWithChildren, CoreStocksRoute: CoreStocksRoute, DashboardRoute: DashboardRoute, HotMapRoute: HotMapRoute, diff --git a/src/routes/ai-analysis.$id.tsx b/src/routes/ai-analysis.$id.tsx new file mode 100644 index 0000000..b8073a3 --- /dev/null +++ b/src/routes/ai-analysis.$id.tsx @@ -0,0 +1,138 @@ +import * as React from "react"; +import { Link, createFileRoute } from "@tanstack/react-router"; +import { ArrowLeft, BrainCircuit, Clock, Loader2, AlertCircle, RefreshCw, Wrench } from "lucide-react"; +import { useQuery, useMutation, useQueryClient } from "@tanstack/react-query"; +import Markdown from "react-markdown"; +import { Mermaid } from "../components/Mermaid"; +import { fetchAiReport, regenerateAiReport } from "../lib/ai-analysis-api"; +import { Button } from "../components/ui/button"; +import { Card, CardContent } from "../components/ui/card"; +import { toast } from "sonner"; + +export const Route = createFileRoute("/ai-analysis/$id")({ + component: AiReportDetailPage, +}); + +function AiReportDetailPage() { + const { id } = Route.useParams(); + const queryClient = useQueryClient(); + const reportId = Number(id); + + const { data: report, isLoading, isError, refetch } = useQuery({ + queryKey: ["ai-report", reportId], + queryFn: () => fetchAiReport(reportId), + staleTime: 60_000, + retry: false, + }); + + const regenerateMutation = useMutation({ + mutationFn: () => regenerateAiReport(reportId), + onSuccess: () => { + toast.success("重新生成完成"); + queryClient.invalidateQueries({ queryKey: ["ai-report", reportId] }); + queryClient.invalidateQueries({ queryKey: ["ai-reports"] }); + }, + onError: (err: Error) => { + toast.error(err.message || "重新生成失败"); + }, + }); + + return ( +
+
+ {/* Header */} +
+
+ + + +

+ + {report?.title || "AI 分析报告"} +

+
+ +
+ + {/* Content */} + {isLoading ? ( +
+ +

加载中...

+
+ ) : isError ? ( +
+ +

报告加载失败

+ +
+ ) : report ? ( + <> + {/* Meta Info */} + + +
+ + + {report.created_at} + + {report.model} + {report.tokens_used?.toLocaleString()} tokens + {report.toolsUsed && report.toolsUsed.length > 0 && ( + + + {report.toolsUsed.length} 个工具 + + )} +
+ + + + {/* Report Content */} + + + ; + } + return ( + + {children} + + ); + }, + }} + > + {report.content} + + + + + {/* Disclaimer */} +

+ 本报告由 AI 生成，仅供参考，不构成投资建议 +

+ + ) : null} +
+
+ ); +} diff --git a/src/routes/ai-analysis._index.tsx b/src/routes/ai-analysis._index.tsx new file mode 100644 index 0000000..1dc63c6 --- /dev/null +++ b/src/routes/ai-analysis._index.tsx @@ -0,0 +1,103 @@ +import * as React from "react"; +import { Link, createFileRoute } from "@tanstack/react-router"; +import { Clock, Zap, Loader2, AlertCircle, BrainCircuit } from "lucide-react"; +import { useQuery, useMutation, useQueryClient } from "@tanstack/react-query"; +import { fetchAiReports, triggerAiAnalysis } from "../lib/ai-analysis-api"; +import { Button } from "../components/ui/button"; +import { Card, CardContent } from "../components/ui/card"; +import { toast } from "sonner"; + +export const Route = createFileRoute("/ai-analysis/_index")({ + component: AiAnalysisIndex, +}); + +function AiAnalysisIndex() { + const queryClient = useQueryClient(); + + const { data: reports, isLoading, isError, refetch } = useQuery({ + queryKey: ["ai-reports"], + queryFn: fetchAiReports, + staleTime: 30_000, + retry: false, + }); + + const triggerMutation = useMutation({ + mutationFn: triggerAiAnalysis, + onSuccess: () => { + toast.success("AI 分析已开始，请稍候..."); + queryClient.invalidateQueries({ queryKey: ["ai-reports"] }); + }, + onError: (err: Error) => { + toast.error(err.message || "触发失败"); + }, + }); + + return ( + <> +
+ +
+ + {isLoading ? ( +
+ +

加载中...

+
+ ) : isError ? ( +
+ +

数据加载失败

+ +
+ ) : reports && reports.length > 0 ? ( +
+ {reports.map((report) => ( + + +
+
+

{report.title}

+ {report.summary && ( +

{report.summary}

+ )} +
+ + + {report.created_at} + + {report.model} + {report.tokens_used?.toLocaleString()} tokens +
+
+ + 查看 → + +
+ + + ))} +
+ ) : ( +
+ +

暂无分析报告

+

点击"立即分析"生成今日报告

+
+ )} + + ); +} diff --git a/src/routes/ai-analysis.tsx b/src/routes/ai-analysis.tsx new file mode 100644 index 0000000..c9c0013 --- /dev/null +++ b/src/routes/ai-analysis.tsx @@ -0,0 +1,29 @@ +import * as React from "react"; +import { Link, Outlet, createFileRoute } from "@tanstack/react-router"; +import { ArrowLeft, BrainCircuit } from "lucide-react"; + +export const Route = createFileRoute("/ai-analysis")({ + component: AiAnalysisLayout, +}); + +function AiAnalysisLayout() { + return ( +
+
+ {/* Header */} +
+ + + +

+ + AI 市场分析 +

+
+ + {/* Child routes render here */} + +
+
+ ); +} diff --git a/src/routes/index.tsx b/src/routes/index.tsx index ce6c1d2..9a91ab5 100755 --- a/src/routes/index.tsx +++ b/src/routes/index.tsx @@ -10,7 +10,7 @@ import { Dialog, DialogContent, DialogHeader, DialogTitle, DialogTrigger } from import { AlertDialog, AlertDialogAction, AlertDialogCancel, AlertDialogContent, AlertDialogDescription, AlertDialogFooter, AlertDialogHeader, AlertDialogTitle } from "@/components/ui/alert-dialog"; import { Label } from "@/components/ui/label"; import { Textarea } from "@/components/ui/textarea"; -import { Search, Plus, Share2, Trash2, TrendingUp, Loader2, Flame, Network, BarChart3 } from "lucide-react"; +import { Search, Plus, Share2, Trash2, TrendingUp, Loader2, Flame, Network, BarChart3, BrainCircuit } from "lucide-react"; import { toast } from "sonner"; export const Route = createFileRoute("/")({ @@ -230,6 +230,12 @@ function Index() { 热点穿透 + + +
diff --git a/src/styles.css b/src/styles.css index e2d3743..428693e 100755 --- a/src/styles.css +++ b/src/styles.css @@ -146,3 +146,96 @@ font-family: var(--font-sans); } } + +/* AI Report Content Styles */ +.ai-report-content { + color: #c9d1d9; + line-height: 1.7; +} + +.ai-report-content h1, +.ai-report-content h2, +.ai-report-content h3, +.ai-report-content h4 { + color: #e6edf3; + font-weight: 600; + margin-top: 1.5em; + margin-bottom: 0.5em; +} + +.ai-report-content h1 { font-size: 1.5em; } +.ai-report-content h2 { font-size: 1.3em; } +.ai-report-content h3 { font-size: 1.15em; } + +.ai-report-content p { + margin-bottom: 0.8em; +} + +.ai-report-content strong { + color: #e6edf3; + font-weight: 600; +} + +.ai-report-content ul, +.ai-report-content ol { + margin: 0.5em 0; + padding-left: 1.5em; +} + +.ai-report-content li { + margin-bottom: 0.3em; +} + +.ai-report-content blockquote { + border-left: 3px solid #30363d; + padding-left: 1em; + margin: 0.8em 0; + color: #8b949e; +} + +.ai-report-content code { + background: #0d1117; + padding: 0.15em 0.4em; + border-radius: 4px; + font-size: 0.9em; + color: #79c0ff; +} + +.ai-report-content pre { + background: #0d1117; + padding: 1em; + border-radius: 6px; + overflow-x: auto; + margin: 0.8em 0; +} + +.ai-report-content pre code { + background: none; + padding: 0; + color: #c9d1d9; +} + +.ai-report-content table { + width: 100%; + border-collapse: collapse; + margin: 0.8em 0; +} + +.ai-report-content th, +.ai-report-content td { + border: 1px solid #30363d; + padding: 0.5em 0.8em; + text-align: left; +} + +.ai-report-content th { + background: #21262d; + color: #e6edf3; + font-weight: 600; +} + +.ai-report-content hr { + border: none; + border-top: 1px solid #30363d; + margin: 1.5em 0; +}