feat(web-dashboard): connect frontend to real backend API (Phase 1) (#1)

* fix(qa): ISSUE-001 — misleading empty state message in ScreeningPanel

When API returns 0 results, show '未找到符合条件的股票' instead of
'请先选择筛选模式并刷新' which implied no filtering had been done.

Issue found by /qa on main branch

* feat(web-dashboard): connect frontend to real backend API

Phase 1: Stabilize dashboard by connecting mock data to real backend.

Backend:
- Add GET /api/analysis/tasks endpoint for BatchManager
- Fix subprocess cancellation (poll() → returncode)
- Use sys.executable instead of hardcoded env312 path
- Move API key validation before storing task state (no phantom tasks)

Frontend:
- ScreeningPanel: handleStartAnalysis calls POST /api/analysis/start
- AnalysisMonitor: real WebSocket connection via useSearchParams + useRef
- BatchManager: polls GET /api/analysis/tasks, fixed retry button
- All mock data removed

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Shaojie 2026-04-06 17:47:46 +08:00 committed by GitHub
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"""
TradingAgents Web Dashboard Backend
FastAPI REST API + WebSocket for real-time analysis progress
"""
import asyncio
import json
import os
import subprocess
import sys
import time
import traceback
from datetime import datetime
from pathlib import Path
from typing import Optional
from contextlib import asynccontextmanager
from fastapi import FastAPI, HTTPException, WebSocket, WebSocketDisconnect, Query
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
# Path to TradingAgents repo root
REPO_ROOT = Path(__file__).parent.parent.parent
# Use the currently running Python interpreter
ANALYSIS_PYTHON = Path(sys.executable)
# ============== Lifespan ==============
@asynccontextmanager
async def lifespan(app: FastAPI):
"""Startup and shutdown events"""
app.state.active_connections: dict[str, list[WebSocket]] = {}
app.state.task_results: dict[str, dict] = {}
app.state.analysis_tasks: dict[str, asyncio.Task] = {}
yield
# ============== App ==============
app = FastAPI(
title="TradingAgents Web Dashboard API",
version="0.1.0",
lifespan=lifespan
)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# ============== Pydantic Models ==============
class AnalysisRequest(BaseModel):
ticker: str
date: Optional[str] = None
class ScreenRequest(BaseModel):
mode: str = "china_strict"
# ============== Cache Helpers ==============
CACHE_DIR = Path(__file__).parent.parent / "cache"
CACHE_TTL_SECONDS = 300 # 5 minutes
def _get_cache_path(mode: str) -> Path:
return CACHE_DIR / f"screen_{mode}.json"
def _load_from_cache(mode: str) -> Optional[dict]:
cache_path = _get_cache_path(mode)
if not cache_path.exists():
return None
try:
age = time.time() - cache_path.stat().st_mtime
if age > CACHE_TTL_SECONDS:
return None
with open(cache_path) as f:
return json.load(f)
except Exception:
return None
def _save_to_cache(mode: str, data: dict):
try:
CACHE_DIR.mkdir(parents=True, exist_ok=True)
cache_path = _get_cache_path(mode)
with open(cache_path, "w") as f:
json.dump(data, f)
except Exception:
pass
# ============== SEPA Screening ==============
def _run_sepa_screening(mode: str) -> dict:
"""Run SEPA screening synchronously in thread"""
sys.path.insert(0, str(REPO_ROOT))
from sepa_screener import screen_all, china_stocks
results = screen_all(mode=mode, max_workers=5)
total = len(china_stocks)
return {
"mode": mode,
"total_stocks": total,
"passed": len(results),
"results": results,
}
@app.get("/api/stocks/screen")
async def screen_stocks(mode: str = Query("china_strict"), refresh: bool = Query(False)):
"""Screen stocks using SEPA criteria with caching"""
if not refresh:
cached = _load_from_cache(mode)
if cached:
return {**cached, "cached": True}
# Run in thread pool (blocks thread but not event loop)
loop = asyncio.get_event_loop()
result = await loop.run_in_executor(None, lambda: _run_sepa_screening(mode))
_save_to_cache(mode, result)
return {**result, "cached": False}
# ============== Analysis Execution ==============
# Script template for subprocess-based analysis
# ticker and date are passed as command-line args to avoid injection
ANALYSIS_SCRIPT_TEMPLATE = """
import sys
ticker = sys.argv[1]
date = sys.argv[2]
repo_root = sys.argv[3]
api_key = sys.argv[4]
sys.path.insert(0, repo_root)
import os
os.environ["ANTHROPIC_API_KEY"] = api_key
os.environ["ANTHROPIC_BASE_URL"] = "https://api.minimaxi.com/anthropic"
import py_mini_racer
sys.modules["mini_racer"] = py_mini_racer
from tradingagents.graph.trading_graph import TradingAgentsGraph
from tradingagents.default_config import DEFAULT_CONFIG
from pathlib import Path
config = DEFAULT_CONFIG.copy()
config["llm_provider"] = "anthropic"
config["deep_think_llm"] = "MiniMax-M2.7-highspeed"
config["quick_think_llm"] = "MiniMax-M2.7-highspeed"
config["backend_url"] = "https://api.minimaxi.com/anthropic"
config["max_debate_rounds"] = 1
config["max_risk_discuss_rounds"] = 1
ta = TradingAgentsGraph(debug=False, config=config)
final_state, decision = ta.propagate(ticker, date)
results_dir = Path(repo_root) / "results" / ticker / date
results_dir.mkdir(parents=True, exist_ok=True)
signal = decision if isinstance(decision, str) else decision.get("signal", "HOLD")
report_content = (
"# TradingAgents 分析报告\\n\\n"
"**股票**: " + ticker + "\\n"
"**日期**: " + date + "\\n\\n"
"## 最终决策\\n\\n"
"**" + signal + "**\\n\\n"
"## 分析摘要\\n\\n"
+ final_state.get("market_report", "N/A") + "\\n\\n"
"## 基本面\\n\\n"
+ final_state.get("fundamentals_report", "N/A") + "\\n"
)
report_path = results_dir / "complete_report.md"
report_path.write_text(report_content)
print("ANALYSIS_COMPLETE:" + signal)
"""
@app.post("/api/analysis/start")
async def start_analysis(request: AnalysisRequest):
"""Start a new analysis task"""
import uuid
task_id = f"{request.ticker}_{datetime.now().strftime('%Y%m%d_%H%M%S')}_{uuid.uuid4().hex[:6]}"
date = request.date or datetime.now().strftime("%Y-%m-%d")
# Initialize task state
app.state.task_results[task_id] = {
"task_id": task_id,
"ticker": request.ticker,
"date": date,
"status": "running",
"progress": 0,
"current_stage": "analysts",
"elapsed": 0,
"stages": [
{"status": "running", "completed_at": None},
{"status": "pending", "completed_at": None},
{"status": "pending", "completed_at": None},
{"status": "pending", "completed_at": None},
{"status": "pending", "completed_at": None},
],
"logs": [],
"decision": None,
"error": None,
}
# Get API key - fail fast before storing a running task
api_key = os.environ.get("ANTHROPIC_API_KEY")
if not api_key:
raise HTTPException(status_code=500, detail="ANTHROPIC_API_KEY environment variable not set")
await broadcast_progress(task_id, app.state.task_results[task_id])
# Write analysis script to temp file (avoids subprocess -c quoting issues)
script_path = Path(f"/tmp/analysis_{task_id}.py")
script_content = ANALYSIS_SCRIPT_TEMPLATE
script_path.write_text(script_content)
# Store process reference for cancellation
app.state.processes = getattr(app.state, 'processes', {})
app.state.processes[task_id] = None
async def run_analysis():
"""Run analysis subprocess and broadcast progress"""
try:
# Use clean environment - don't inherit parent env
clean_env = {k: v for k, v in os.environ.items()
if not k.startswith(("PYTHON", "CONDA", "VIRTUAL"))}
clean_env["ANTHROPIC_API_KEY"] = api_key
clean_env["ANTHROPIC_BASE_URL"] = "https://api.minimaxi.com/anthropic"
proc = await asyncio.create_subprocess_exec(
str(ANALYSIS_PYTHON),
str(script_path),
request.ticker,
date,
str(REPO_ROOT),
api_key,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
env=clean_env,
)
app.state.processes[task_id] = proc
stdout, stderr = await proc.communicate()
# Clean up script file
try:
script_path.unlink()
except Exception:
pass
if proc.returncode == 0:
output = stdout.decode()
decision = "HOLD"
for line in output.split("\n"):
if line.startswith("ANALYSIS_COMPLETE:"):
decision = line.split(":", 1)[1].strip()
app.state.task_results[task_id]["status"] = "completed"
app.state.task_results[task_id]["progress"] = 100
app.state.task_results[task_id]["decision"] = decision
app.state.task_results[task_id]["current_stage"] = "portfolio"
for i in range(5):
app.state.task_results[task_id]["stages"][i]["status"] = "completed"
app.state.task_results[task_id]["stages"][i]["completed_at"] = datetime.now().strftime("%H:%M:%S")
else:
error_msg = stderr.decode()[-1000:] if stderr else "Unknown error"
app.state.task_results[task_id]["status"] = "failed"
app.state.task_results[task_id]["error"] = error_msg
except Exception as e:
app.state.task_results[task_id]["status"] = "failed"
app.state.task_results[task_id]["error"] = str(e)
try:
script_path.unlink()
except Exception:
pass
await broadcast_progress(task_id, app.state.task_results[task_id])
task = asyncio.create_task(run_analysis())
app.state.analysis_tasks[task_id] = task
return {
"task_id": task_id,
"ticker": request.ticker,
"date": date,
"status": "running",
}
@app.get("/api/analysis/status/{task_id}")
async def get_task_status(task_id: str):
"""Get task status"""
if task_id not in app.state.task_results:
raise HTTPException(status_code=404, detail="Task not found")
return app.state.task_results[task_id]
@app.get("/api/analysis/tasks")
async def list_tasks():
"""List all tasks (active and recent)"""
tasks = []
for task_id, state in app.state.task_results.items():
tasks.append({
"task_id": task_id,
"ticker": state.get("ticker"),
"date": state.get("date"),
"status": state.get("status"),
"progress": state.get("progress", 0),
"decision": state.get("decision"),
"error": state.get("error"),
"created_at": state.get("stages", [{}])[0].get("completed_at") if state.get("stages") else None,
})
# Sort by task_id (which includes timestamp) descending
tasks.sort(key=lambda x: x["task_id"], reverse=True)
return {"tasks": tasks, "total": len(tasks)}
@app.delete("/api/analysis/cancel/{task_id}")
async def cancel_task(task_id: str):
"""Cancel a running task"""
if task_id not in app.state.task_results:
raise HTTPException(status_code=404, detail="Task not found")
# Kill the subprocess if it's still running
proc = app.state.processes.get(task_id)
if proc and proc.returncode is None:
try:
proc.kill()
except Exception:
pass
# Cancel the asyncio task
task = app.state.analysis_tasks.get(task_id)
if task:
task.cancel()
app.state.task_results[task_id]["status"] = "failed"
app.state.task_results[task_id]["error"] = "用户取消"
await broadcast_progress(task_id, app.state.task_results[task_id])
# Clean up temp script
script_path = Path(f"/tmp/analysis_{task_id}.py")
try:
script_path.unlink()
except Exception:
pass
return {"task_id": task_id, "status": "cancelled"}
# ============== WebSocket ==============
@app.websocket("/ws/analysis/{task_id}")
async def websocket_analysis(websocket: WebSocket, task_id: str):
"""WebSocket for real-time analysis progress"""
await websocket.accept()
if task_id not in app.state.active_connections:
app.state.active_connections[task_id] = []
app.state.active_connections[task_id].append(websocket)
# Send current state immediately if available
if task_id in app.state.task_results:
await websocket.send_text(json.dumps({
"type": "progress",
**app.state.task_results[task_id]
}))
try:
while True:
data = await websocket.receive_text()
message = json.loads(data)
if message.get("type") == "ping":
await websocket.send_text(json.dumps({"type": "pong"}))
except WebSocketDisconnect:
if task_id in app.state.active_connections:
app.state.active_connections[task_id].remove(websocket)
async def broadcast_progress(task_id: str, progress: dict):
"""Broadcast progress to all connections for a task"""
if task_id not in app.state.active_connections:
return
message = json.dumps({"type": "progress", **progress})
dead = []
for connection in app.state.active_connections[task_id]:
try:
await connection.send_text(message)
except Exception:
dead.append(connection)
for conn in dead:
app.state.active_connections[task_id].remove(conn)
# ============== Reports ==============
def get_results_dir() -> Path:
return Path(__file__).parent.parent.parent / "results"
def get_reports_list():
"""Get all historical reports"""
results_dir = get_results_dir()
reports = []
if not results_dir.exists():
return reports
for ticker_dir in results_dir.iterdir():
if ticker_dir.is_dir() and ticker_dir.name != "TradingAgentsStrategy_logs":
ticker = ticker_dir.name
for date_dir in ticker_dir.iterdir():
# Skip non-date directories like TradingAgentsStrategy_logs
if date_dir.is_dir() and date_dir.name.startswith("20"):
reports.append({
"ticker": ticker,
"date": date_dir.name,
"path": str(date_dir)
})
return sorted(reports, key=lambda x: x["date"], reverse=True)
def get_report_content(ticker: str, date: str) -> Optional[dict]:
"""Get report content for a specific ticker and date"""
report_dir = get_results_dir() / ticker / date
if not report_dir.exists():
return None
content = {}
complete_report = report_dir / "complete_report.md"
if complete_report.exists():
content["report"] = complete_report.read_text()
for stage in ["1_analysts", "2_research", "3_trading", "4_risk", "5_portfolio"]:
stage_dir = report_dir / "reports" / stage
if stage_dir.exists():
for f in stage_dir.glob("*.md"):
content[f.name] = f.read_text()
return content
@app.get("/api/reports/list")
async def list_reports():
return get_reports_list()
@app.get("/api/reports/{ticker}/{date}")
async def get_report(ticker: str, date: str):
content = get_report_content(ticker, date)
if not content:
raise HTTPException(status_code=404, detail="Report not found")
return content
@app.get("/")
async def root():
return {"message": "TradingAgents Web Dashboard API", "version": "0.1.0"}
if __name__ == "__main__":
import uvicorn
# Run with: cd web_dashboard && ../env312/bin/python -m uvicorn main:app --reload
# Or: cd web_dashboard/backend && python3 main.py (requires env312 in PATH)
uvicorn.run(app, host="0.0.0.0", port=8000)

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import { useState, useEffect, useRef, useCallback } from 'react'
import { useSearchParams } from 'react-router-dom'
import { Card, Progress, Timeline, Badge, Empty, Button, Tag, Result, message } from 'antd'
import { CheckCircleOutlined, SyncOutlined, CloseCircleOutlined } from '@ant-design/icons'
const ANALYSIS_STAGES = [
{ key: 'analysts', label: '分析师团队', description: 'Market / Social / News / Fundamentals' },
{ key: 'research', label: '研究员辩论', description: 'Bull vs Bear Researcher debate' },
{ key: 'trader', label: '交易员', description: 'Compose investment plan' },
{ key: 'risk', label: '风险管理', description: 'Aggressive vs Conservative vs Neutral' },
{ key: 'portfolio', label: '组合经理', description: 'Final BUY/HOLD/SELL decision' },
]
export default function AnalysisMonitor() {
const [searchParams] = useSearchParams()
const taskId = searchParams.get('task_id')
const [task, setTask] = useState(null)
const [wsConnected, setWsConnected] = useState(false)
const [loading, setLoading] = useState(false)
const [error, setError] = useState(null)
const wsRef = useRef(null)
const fetchInitialState = useCallback(async () => {
setLoading(true)
try {
const res = await fetch(`/api/analysis/status/${taskId}`)
if (!res.ok) throw new Error('获取任务状态失败')
const data = await res.json()
setTask(data)
} catch (err) {
setError(err.message)
} finally {
setLoading(false)
}
}, [taskId])
const connectWebSocket = useCallback(() => {
if (wsRef.current) wsRef.current.close()
const protocol = window.location.protocol === 'https:' ? 'wss:' : 'ws:'
const host = window.location.host
const ws = new WebSocket(`${protocol}//${host}/ws/analysis/${taskId}`)
ws.onopen = () => {
setWsConnected(true)
setError(null)
}
ws.onmessage = (event) => {
try {
const data = JSON.parse(event.data)
if (data.type === 'progress') {
const { type, ...taskData } = data
setTask(taskData)
}
} catch (e) {
// Ignore parse errors
}
}
ws.onerror = () => {
setError('WebSocket连接失败')
setWsConnected(false)
}
ws.onclose = () => {
setWsConnected(false)
}
wsRef.current = ws
}, [taskId])
useEffect(() => {
if (!taskId) return
fetchInitialState()
connectWebSocket()
return () => {
if (wsRef.current) wsRef.current.close()
}
}, [taskId, fetchInitialState, connectWebSocket])
const formatTime = (seconds) => {
const mins = Math.floor(seconds / 60)
const secs = seconds % 60
return `${mins}:${secs.toString().padStart(2, '0')}`
}
const getStageStatusIcon = (status) => {
switch (status) {
case 'completed':
return <CheckCircleOutlined style={{ color: 'var(--color-buy)' }} />
case 'running':
return <SyncOutlined spin style={{ color: 'var(--color-running)' }} />
case 'failed':
return <CloseCircleOutlined style={{ color: 'var(--color-sell)' }} />
default:
return <Badge status="default" />
}
}
const getDecisionBadge = (decision) => {
if (!decision) return null
const colorMap = {
BUY: 'var(--color-buy)',
SELL: 'var(--color-sell)',
HOLD: 'var(--color-hold)',
}
return (
<Tag
color={colorMap[decision]}
style={{
fontFamily: 'var(--font-data)',
fontWeight: 600,
fontSize: 14,
padding: '4px 12px',
}}
>
{decision}
</Tag>
)
}
return (
<div>
{/* Current Task Card */}
<Card
className="card"
style={{ marginBottom: 'var(--space-6)' }}
title={
<div style={{ display: 'flex', alignItems: 'center', gap: 12 }}>
<span>当前分析任务</span>
<Badge
status={error ? 'error' : wsConnected ? 'success' : 'error'}
text={error ? '错误' : wsConnected ? '实时连接' : '未连接'}
/>
</div>
}
>
{loading ? (
<div style={{ textAlign: 'center', padding: 'var(--space-12)' }}>
<div className="loading-pulse" style={{ color: 'var(--color-running)', fontSize: 16 }}>
连接中...
</div>
</div>
) : error ? (
<Result
status="error"
title="连接失败"
subTitle={error}
extra={
<Button
type="primary"
onClick={() => {
fetchInitialState()
connectWebSocket()
}}
aria-label="重新连接"
>
重新连接
</Button>
}
/>
) : task ? (
<>
{/* Task Header */}
<div style={{ marginBottom: 'var(--space-6)' }}>
<div style={{ display: 'flex', alignItems: 'center', gap: 16, marginBottom: 16 }}>
<span style={{ fontSize: 24, fontWeight: 600 }}>{task.name}</span>
<span style={{ fontFamily: 'var(--font-data)', color: 'var(--color-text-muted)' }}>
{task.ticker}
</span>
{getDecisionBadge(task.decision)}
</div>
{/* Progress */}
<div style={{ display: 'flex', alignItems: 'center', gap: 16 }}>
<Progress
percent={task.progress}
status="active"
strokeColor="var(--color-buy)"
style={{ flex: 1 }}
/>
<span
style={{
fontFamily: 'var(--font-data)',
color: 'var(--color-text-muted)',
minWidth: 50,
}}
>
{formatTime(task.elapsed)}
</span>
</div>
</div>
{/* Stages */}
<div style={{ display: 'flex', gap: 8, flexWrap: 'wrap', marginBottom: 24 }}>
{ANALYSIS_STAGES.map((stage, index) => (
<div
key={stage.key}
style={{
padding: '8px 16px',
background:
task.stages[index]?.status === 'running'
? 'rgba(168, 85, 247, 0.15)'
: task.stages[index]?.status === 'completed'
? 'rgba(34, 197, 94, 0.15)'
: 'var(--color-surface-elevated)',
borderRadius: 'var(--radius-md)',
border: `1px solid ${
task.stages[index]?.status === 'running'
? 'var(--color-running)'
: task.stages[index]?.status === 'completed'
? 'var(--color-buy)'
: 'var(--color-border)'
}`,
opacity: task.stages[index]?.status === 'pending' ? 0.5 : 1,
}}
>
<div style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
{getStageStatusIcon(task.stages[index]?.status)}
<span>{stage.label}</span>
</div>
</div>
))}
</div>
{/* Logs */}
<div>
<div
style={{
fontSize: 12,
fontWeight: 600,
color: 'var(--color-text-muted)',
marginBottom: 12,
textTransform: 'uppercase',
}}
>
实时日志
</div>
<div
aria-live="polite"
style={{
fontFamily: 'var(--font-data)',
fontSize: 12,
background: 'var(--color-bg)',
padding: 'var(--space-4)',
borderRadius: 'var(--radius-md)',
maxHeight: 300,
overflow: 'auto',
}}
>
{task.logs.map((log, i) => (
<div key={i} style={{ marginBottom: 8 }}>
<span style={{ color: 'var(--color-text-muted)' }}>[{log.time}]</span>{' '}
<span style={{ color: 'var(--color-interactive)' }}>{log.stage}:</span>{' '}
<span>{log.message}</span>
</div>
))}
</div>
</div>
</>
) : (
<Empty description="暂无进行中的分析任务" image={
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.5" style={{ width: 48, height: 48 }}>
<circle cx="12" cy="12" r="10" />
<path d="M12 6v6l4 2" />
</svg>
} />
)}
</Card>
{/* No Active Task */}
{!task && (
<div className="card">
<div className="empty-state">
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.5">
<circle cx="12" cy="12" r="10" />
<path d="M12 6v6l4 2" />
</svg>
<div className="empty-state-title">暂无进行中的分析</div>
<div className="empty-state-description">
在股票筛选页面选择股票并点击"分析"开始
</div>
<Button type="primary" style={{ marginTop: 16 }} aria-label="去筛选股票">
去筛选股票
</Button>
</div>
</div>
)}
</div>
)
}

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import { useState, useEffect, useCallback } from 'react'
import { Table, Button, Tag, Progress, Result, Empty, Tabs, InputNumber, Card, Skeleton, message } from 'antd'
import {
PlayCircleOutlined,
PauseCircleOutlined,
DeleteOutlined,
CheckCircleOutlined,
CloseCircleOutlined,
SyncOutlined,
} from '@ant-design/icons'
const MAX_CONCURRENT = 3
export default function BatchManager() {
const [tasks, setTasks] = useState([])
const [maxConcurrent, setMaxConcurrent] = useState(MAX_CONCURRENT)
const [loading, setLoading] = useState(true)
const [error, setError] = useState(null)
const fetchTasks = useCallback(async () => {
setLoading(true)
try {
const res = await fetch('/api/analysis/tasks')
if (!res.ok) throw new Error('获取任务列表失败')
const data = await res.json()
setTasks(data.tasks || [])
setError(null)
} catch (err) {
setError(err.message)
} finally {
setLoading(false)
}
}, [])
useEffect(() => {
fetchTasks()
const interval = setInterval(fetchTasks, 5000)
return () => clearInterval(interval)
}, [fetchTasks])
const handleCancel = async (taskId) => {
try {
const res = await fetch(`/api/analysis/cancel/${taskId}`, { method: 'DELETE' })
if (!res.ok) throw new Error('取消失败')
message.success('任务已取消')
fetchTasks()
} catch (err) {
message.error(err.message)
}
}
const handleRetry = async (taskId) => {
const task = tasks.find(t => t.task_id === taskId)
if (!task) return
try {
const res = await fetch('/api/analysis/start', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ ticker: task.ticker }),
})
if (!res.ok) throw new Error('重试失败')
message.success('任务已重新提交')
fetchTasks()
} catch (err) {
message.error(err.message)
}
}
const getStatusIcon = (status) => {
switch (status) {
case 'completed':
return <CheckCircleOutlined style={{ color: 'var(--color-buy)' }} />
case 'running':
return <SyncOutlined spin style={{ color: 'var(--color-running)' }} />
case 'failed':
return <CloseCircleOutlined style={{ color: 'var(--color-sell)' }} />
default:
return <PauseCircleOutlined style={{ color: 'var(--color-hold)' }} />
}
}
const getDecisionBadge = (decision) => {
if (!decision) return null
const colorMap = {
BUY: 'var(--color-buy)',
SELL: 'var(--color-sell)',
HOLD: 'var(--color-hold)',
}
return (
<Tag
color={colorMap[decision]}
style={{ fontFamily: 'var(--font-data)', fontWeight: 600 }}
>
{decision}
</Tag>
)
}
const getStatusTag = (task) => {
const statusMap = {
pending: { text: '等待', color: 'var(--color-hold)' },
running: { text: '分析中', color: 'var(--color-running)' },
completed: { text: '完成', color: 'var(--color-buy)' },
failed: { text: '失败', color: 'var(--color-sell)' },
}
const s = statusMap[task.status]
return (
<Tag style={{ background: `${s.color}20`, color: s.color, border: 'none' }}>
{s.text}
</Tag>
)
}
const columns = [
{
title: '状态',
key: 'status',
width: 100,
render: (_, record) => (
<div style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
{getStatusIcon(record.status)}
{getStatusTag(record)}
</div>
),
},
{
title: '股票',
key: 'stock',
render: (_, record) => (
<div>
<div style={{ fontWeight: 500 }}>{record.ticker}</div>
</div>
),
},
{
title: '进度',
dataIndex: 'progress',
key: 'progress',
width: 150,
render: (val, record) =>
record.status === 'running' || record.status === 'pending' ? (
<Progress
percent={val}
size="small"
strokeColor={
record.status === 'pending'
? 'var(--color-hold)'
: 'var(--color-running)'
}
/>
) : (
<span style={{ fontFamily: 'var(--font-data)' }}>{val}%</span>
),
},
{
title: '决策',
dataIndex: 'decision',
key: 'decision',
width: 80,
render: (decision) => getDecisionBadge(decision),
},
{
title: '任务ID',
dataIndex: 'task_id',
key: 'task_id',
width: 200,
render: (text) => (
<span style={{ fontFamily: 'var(--font-data)', fontSize: 12, color: 'var(--color-text-muted)' }}>{text}</span>
),
},
{
title: '错误',
dataIndex: 'error',
key: 'error',
render: (error) =>
error ? (
<span style={{ color: 'var(--color-sell)', fontSize: 12 }}>{error}</span>
) : null,
},
{
title: '操作',
key: 'action',
width: 150,
render: (_, record) => (
<div style={{ display: 'flex', gap: 8 }}>
{record.status === 'running' && (
<Button
size="small"
danger
icon={<PauseCircleOutlined />}
onClick={() => handleCancel(record.task_id)}
aria-label="取消"
>
取消
</Button>
)}
{record.status === 'failed' && (
<Button
size="small"
icon={<SyncOutlined />}
onClick={() => handleRetry(record.task_id)}
aria-label="重试"
>
重试
</Button>
)}
</div>
),
},
]
const pendingCount = tasks.filter((t) => t.status === 'pending').length
const runningCount = tasks.filter((t) => t.status === 'running').length
const completedCount = tasks.filter((t) => t.status === 'completed').length
const failedCount = tasks.filter((t) => t.status === 'failed').length
return (
<div>
{/* Stats */}
<div style={{ display: 'flex', gap: 16, marginBottom: 'var(--space-6)' }}>
<Card size="small" className="card" style={{ flex: 1 }}>
<div style={{ fontFamily: 'var(--font-data)', fontSize: 24, fontWeight: 600 }}>
{pendingCount}
</div>
<div style={{ color: 'var(--color-text-muted)', fontSize: 12 }}>等待中</div>
</Card>
<Card size="small" className="card" style={{ flex: 1 }}>
<div style={{ fontFamily: 'var(--font-data)', fontSize: 24, fontWeight: 600, color: 'var(--color-running)' }}>
{runningCount}
</div>
<div style={{ color: 'var(--color-text-muted)', fontSize: 12 }}>分析中</div>
</Card>
<Card size="small" className="card" style={{ flex: 1 }}>
<div style={{ fontFamily: 'var(--font-data)', fontSize: 24, fontWeight: 600, color: 'var(--color-buy)' }}>
{completedCount}
</div>
<div style={{ color: 'var(--color-text-muted)', fontSize: 12 }}>已完成</div>
</Card>
<Card size="small" className="card" style={{ flex: 1 }}>
<div style={{ fontFamily: 'var(--font-data)', fontSize: 24, fontWeight: 600, color: 'var(--color-sell)' }}>
{failedCount}
</div>
<div style={{ color: 'var(--color-text-muted)', fontSize: 12 }}>失败</div>
</Card>
</div>
{/* Settings */}
<Card size="small" className="card" style={{ marginBottom: 'var(--space-6)' }}>
<div style={{ display: 'flex', alignItems: 'center', gap: 16 }}>
<span>最大并发数:</span>
<InputNumber
min={1}
max={10}
value={maxConcurrent}
onChange={(val) => setMaxConcurrent(val)}
style={{ width: 80 }}
/>
<span style={{ color: 'var(--color-text-muted)', fontSize: 12 }}>
同时运行的分析任务数量
</span>
</div>
</Card>
{/* Tasks Table */}
<div className="card">
{loading ? (
<Skeleton active rows={5} />
) : error ? (
<Result
status="error"
title="加载失败"
description="点击重试按钮重新加载数据"
subTitle={error}
extra={
<Button
type="primary"
onClick={() => {
fetchTasks()
}}
aria-label="重试"
>
重试
</Button>
}
/>
) : tasks.length === 0 ? (
<Empty
description="暂无批量任务"
image={
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.5" style={{ width: 48, height: 48 }}>
<rect x="4" y="4" width="6" height="6" rx="1" />
<rect x="14" y="4" width="6" height="6" rx="1" />
<rect x="4" y="14" width="6" height="6" rx="1" />
<rect x="14" y="14" width="6" height="6" rx="1" />
</svg>
}
/>
) : (
<Table
columns={columns}
dataSource={tasks}
rowKey="id"
pagination={false}
/>
)}
</div>
</div>
)
}

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@ -0,0 +1,273 @@
import { useState, useEffect } from 'react'
import { useNavigate } from 'react-router-dom'
import { Table, Button, Select, Input, Space, Statistic, Row, Col, Skeleton, Result, message, Popconfirm, Tooltip } from 'antd'
import { PlayCircleOutlined, ReloadOutlined, QuestionCircleOutlined } from '@ant-design/icons'
const SCREEN_MODES = [
{ value: 'china_strict', label: '中国严格 (China Strict)' },
{ value: 'china_relaxed', label: '中国宽松 (China Relaxed)' },
{ value: 'strict', label: '严格 (Strict)' },
{ value: 'relaxed', label: '宽松 (Relaxed)' },
{ value: 'fundamentals_only', label: '纯基本面 (Fundamentals Only)' },
]
export default function ScreeningPanel() {
const navigate = useNavigate()
const [mode, setMode] = useState('china_strict')
const [loading, setLoading] = useState(true)
const [screening, setScreening] = useState(false)
const [results, setResults] = useState([])
const [stats, setStats] = useState({ total: 0, passed: 0 })
const [error, setError] = useState(null)
const fetchResults = async () => {
setLoading(true)
setError(null)
try {
const res = await fetch(`/api/stocks/screen?mode=${mode}`)
if (!res.ok) throw new Error(`请求失败: ${res.status}`)
const data = await res.json()
setResults(data.results || [])
setStats({ total: data.total_stocks || 0, passed: data.passed || 0 })
} catch (err) {
setError(err.message)
message.error('筛选失败: ' + err.message)
} finally {
setLoading(false)
}
}
useEffect(() => {
fetchResults()
}, [mode])
const columns = [
{
title: '代码',
dataIndex: 'ticker',
key: 'ticker',
width: 120,
render: (text) => (
<span style={{ fontFamily: 'var(--font-data)' }}>{text}</span>
),
},
{
title: '名称',
dataIndex: 'name',
key: 'name',
width: 120,
},
{
title: (
<Tooltip title="营业收入同比增长率">
<span>营收增速 <QuestionCircleOutlined style={{ fontSize: 10, color: 'var(--color-text-muted)' }} /></span>
</Tooltip>
),
dataIndex: 'revenue_growth',
key: 'revenue_growth',
align: 'right',
render: (val) => (
<span style={{ fontFamily: 'var(--font-data)' }}>
{val?.toFixed(1)}%
</span>
),
},
{
title: (
<Tooltip title="净利润同比增长率">
<span>利润增速 <QuestionCircleOutlined style={{ fontSize: 10, color: 'var(--color-text-muted)' }} /></span>
</Tooltip>
),
dataIndex: 'profit_growth',
key: 'profit_growth',
align: 'right',
render: (val) => (
<span style={{ fontFamily: 'var(--font-data)' }}>
{val?.toFixed(1)}%
</span>
),
},
{
title: (
<Tooltip title="净资产收益率 = 净利润/净资产">
<span>ROE <QuestionCircleOutlined style={{ fontSize: 10, color: 'var(--color-text-muted)' }} /></span>
</Tooltip>
),
dataIndex: 'roe',
key: 'roe',
align: 'right',
render: (val) => (
<span style={{ fontFamily: 'var(--font-data)' }}>
{val?.toFixed(1)}%
</span>
),
},
{
title: '价格',
dataIndex: 'current_price',
key: 'current_price',
align: 'right',
render: (val) => (
<span style={{ fontFamily: 'var(--font-data)' }}>
¥{val?.toFixed(2)}
</span>
),
},
{
title: (
<Tooltip title="当前成交量/过去20日平均成交量">
<span>Vol比 <QuestionCircleOutlined style={{ fontSize: 10, color: 'var(--color-text-muted)' }} /></span>
</Tooltip>
),
dataIndex: 'vol_ratio',
key: 'vol_ratio',
align: 'right',
render: (val) => (
<span style={{ fontFamily: 'var(--font-data)' }}>
{val?.toFixed(2)}x
</span>
),
},
{
title: '操作',
key: 'action',
width: 140,
render: (_, record) => (
<Popconfirm
title={`确认分析 ${record.name} (${record.ticker})`}
description="分析将消耗API配额请确认。"
onConfirm={() => handleStartAnalysis(record)}
okText="确认"
cancelText="取消"
>
<Button
type="primary"
icon={<PlayCircleOutlined />}
size="small"
>
分析
</Button>
</Popconfirm>
),
},
]
const handleStartAnalysis = async (stock) => {
try {
const res = await fetch('/api/analysis/start', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ ticker: stock.ticker }),
})
if (!res.ok) throw new Error('启动分析失败')
const data = await res.json()
message.success(`已提交分析任务: ${stock.name} (${stock.ticker})`)
navigate(`/monitor?task_id=${data.task_id}`)
} catch (err) {
message.error(err.message)
}
}
return (
<div>
{/* Stats Row */}
<Row gutter={16} style={{ marginBottom: 'var(--space-6)' }}>
<Col xs={24} sm={8}>
<div className="card">
<Statistic
title="筛选模式"
value={SCREEN_MODES.find(m => m.value === mode)?.label}
/>
</div>
</Col>
<Col xs={24} sm={8}>
<div className="card">
<Statistic
title="股票总数"
value={stats.total}
valueStyle={{ fontFamily: 'var(--font-data)' }}
/>
</div>
</Col>
<Col xs={24} sm={8}>
<div className="card">
<Statistic
title="通过数量"
value={stats.passed}
valueStyle={{
fontFamily: 'var(--font-data)',
color: 'var(--color-buy)',
}}
/>
</div>
</Col>
</Row>
{/* Controls */}
<div className="card" style={{ marginBottom: 'var(--space-6)' }}>
<div className="card-header">
<div className="card-title">SEPA 筛选</div>
<Space>
<Select
value={mode}
onChange={setMode}
options={SCREEN_MODES}
style={{ width: 200 }}
/>
<Button
icon={<ReloadOutlined />}
onClick={fetchResults}
loading={loading}
>
刷新
</Button>
</Space>
</div>
</div>
{/* Results Table */}
<div className="card">
{loading ? (
<Skeleton active rows={5} />
) : error ? (
<Result
status="error"
title="加载失败"
subTitle={error}
extra={
<Button
type="primary"
icon={<ReloadOutlined />}
onClick={fetchResults}
aria-label="重试"
>
重试
</Button>
}
style={{ border: '1px solid var(--color-sell)', borderRadius: 'var(--radius-md)' }}
/>
) : results.length === 0 ? (
<div className="empty-state">
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.5">
<path d="M3 3v18h18M7 16l4-8 4 5 4-9" />
</svg>
<div className="empty-state-title">
{stats.total > 0 ? '未找到符合条件的股票' : '请先选择筛选模式并刷新'}
</div>
<div className="empty-state-description">
{stats.total > 0 ? '尝试切换筛选模式或调整参数' : '点击上方刷新按钮开始筛选'}
</div>
</div>
) : (
<Table
columns={columns}
dataSource={results}
rowKey="ticker"
pagination={{ pageSize: 10 }}
size="middle"
/>
)}
</div>
</div>
)
}