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WebServer.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
股票数据Web服务器
提供目录下所有JSON和CSV数据的访问
支持Bearer Token认证
"""
import os
import json
import csv
import argparse
import secrets
from functools import wraps
from flask import Flask, jsonify, send_file, render_template_string, request, session
from flask_cors import CORS
import pandas as pd
from datetime import datetime
import logging
from typing import List
# 配置日志
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
app = Flask(__name__)
CORS(app) # 允许跨域访问
# 设置session密钥
app.secret_key = secrets.token_hex(16)
# 全局变量存储API密钥
API_KEY = None
# 获取数据目录（统一为./data）
BASE_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'data')
os.makedirs(BASE_DIR, exist_ok=True)
# 即时查询模块（新增）
try:
from instant_query import perform_instant_update
except Exception as _e:
perform_instant_update = None
logger = logging.getLogger(__name__)
logger.warning(f"instant_query 模块未加载: {_e}")
def parse_args():
"""解析命令行参数"""
parser = argparse.ArgumentParser(description='股票数据Web服务器')
parser.add_argument('--api-key', type=str, help='API访问密钥 (Bearer Token)')
parser.add_argument('--port', type=int, default=8888, help='服务器端口 (默认: 8888)')
parser.add_argument('--host', type=str, default='0.0.0.0', help='服务器地址 (默认: 0.0.0.0)')
parser.add_argument('--debug', action='store_true', help='启用调试模式')
return parser.parse_args()
def check_auth():
"""检查认证状态"""
# 如果没有设置API密钥，则不需要认证
if not API_KEY:
return True
# 方式1: Bearer Token (Header)
auth_header = request.headers.get('Authorization', '')
if auth_header.startswith('Bearer '):
token = auth_header[7:] # 移除 "Bearer " 前缀
if token == API_KEY:
return True
# 方式2: API Key (Query参数)
api_key_param = request.args.get('api_key')
if api_key_param == API_KEY:
return True
# 方式3: Session认证 (Web界面登录后)
if session.get('authenticated') == True:
return True
return False
def require_auth(f):
"""认证装饰器"""
@wraps(f)
def decorated_function(*args, **kwargs):
if not check_auth():
# 如果是API请求，返回JSON错误
if request.path.startswith('/api/'):
return jsonify({
'error': 'Authentication required',
'message': '需要Bearer Token认证',
'auth_methods': [
'Header: Authorization: Bearer <your-api-key>',
'Query: ?api_key=<your-api-key>'
]
}), 401
# 如果是Web请求，重定向到登录页面
else:
return render_login_page()
return f(*args, **kwargs)
return decorated_function
def render_login_page():
"""渲染登录页面"""
if not API_KEY:
# 如果没有设置API密钥，直接允许访问
return index()
# 检查是否是登录提交
if request.method == 'POST':
submitted_key = request.form.get('api_key')
if submitted_key == API_KEY:
session['authenticated'] = True
return index()
else:
error_msg = "API密钥错误，请重试"
else:
error_msg = None
login_template = '''
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>身份验证 - 股票数据服务器</title>
<style>
body {
font-family: Arial, sans-serif;
margin: 0;
padding: 0;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
min-height: 100vh;
display: flex;
align-items: center;
justify-content: center;
}
.auth-container {
background: white;
padding: 40px;
border-radius: 12px;
box-shadow: 0 15px 35px rgba(0,0,0,0.1);
width: 100%;
max-width: 400px;
text-align: center;
}
.auth-title {
color: #333;
font-size: 24px;
margin-bottom: 30px;
font-weight: 600;
}
.auth-form {
margin-bottom: 20px;
}
.form-group {
margin-bottom: 20px;
text-align: left;
}
.form-label {
display: block;
margin-bottom: 8px;
color: #555;
font-weight: 500;
}
.form-input {
width: 100%;
padding: 12px;
border: 2px solid #e1e5e9;
border-radius: 6px;
font-size: 16px;
transition: border-color 0.3s;
box-sizing: border-box;
}
.form-input:focus {
outline: none;
border-color: #667eea;
}
.auth-button {
width: 100%;
padding: 12px;
background: #667eea;
color: white;
border: none;
border-radius: 6px;
font-size: 16px;
font-weight: 600;
cursor: pointer;
transition: background 0.3s;
}
.auth-button:hover {
background: #5a67d8;
}
.error-message {
color: #e53e3e;
margin-top: 15px;
padding: 10px;
background: #fed7d7;
border-radius: 6px;
border: 1px solid #feb2b2;
}
.auth-methods {
margin-top: 30px;
padding: 20px;
background: #f7fafc;
border-radius: 8px;
text-align: left;
}
.methods-title {
font-weight: 600;
color: #2d3748;
margin-bottom: 10px;
}
.method-item {
margin-bottom: 8px;
font-family: monospace;
background: #edf2f7;
padding: 8px;
border-radius: 4px;
font-size: 14px;
color: #4a5568;
}
</style>
</head>
<body>
<div class="auth-container">
<h1 class="auth-title">🔐 身份验证</h1>
<form method="POST" class="auth-form">
<div class="form-group">
<label for="api_key" class="form-label">API 密钥</label>
<input type="password" id="api_key" name="api_key" class="form-input"
placeholder="请输入API密钥" required autocomplete="current-password">
</div>
<button type="submit" class="auth-button">登录</button>
</form>
{% if error_msg %}
<div class="error-message">{{ error_msg }}</div>
{% endif %}
<div class="auth-methods">
<div class="methods-title">📡 API认证方式：</div>
<div class="method-item">Bearer Token: Authorization: Bearer <your-key></div>
<div class="method-item">Query参数: ?api_key=<your-key></div>
<div class="method-item">Web登录: 通过此页面登录</div>
</div>
</div>
</body>
</html>
'''
from jinja2 import Template
template_obj = Template(login_template)
return template_obj.render(error_msg=error_msg)
def get_data_files():
"""获取数据目录下所有JSON和CSV文件"""
files = []
for filename in os.listdir(BASE_DIR):
if filename.lower().endswith(('.json', '.csv')):
filepath = os.path.join(BASE_DIR, filename)
file_size = os.path.getsize(filepath)
file_info = {
'name': filename,
'size': file_size,
'size_mb': round(file_size / (1024 * 1024), 2),
'type': 'JSON' if filename.lower().endswith('.json') else 'CSV',
'modified': datetime.fromtimestamp(os.path.getmtime(filepath)).strftime('%Y-%m-%d %H:%M:%S')
}
files.append(file_info)
# 按文件名排序
files.sort(key=lambda x: x['name'])
return files
def parse_filename(filename):
"""解析文件名获取股票信息"""
parts = filename.replace('.json', '').replace('.csv', '').split('_')
if len(parts) >= 3:
stock_code = parts[0]
market = parts[1]
data_type = '_'.join(parts[2:])
return {
'stock_code': stock_code,
'market': market,
'data_type': data_type
}
return {'stock_code': '', 'market': '', 'data_type': filename}
@app.route('/', methods=['GET', 'POST'])
@require_auth
def index():
"""主页 - 显示所有可用的数据文件"""
files = get_data_files()
# 简单的HTML模板
template = '''
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>股票数据服务器</title>
<style>
body { font-family: Arial, sans-serif; margin: 20px; background-color: #f5f5f5; }
.container { max-width: 1200px; margin: 0 auto; background: white; padding: 20px; border-radius: 8px; box-shadow: 0 2px 10px rgba(0,0,0,0.1); }
h1 { color: #333; text-align: center; margin-bottom: 30px; }
.stats { display: flex; justify-content: space-around; margin-bottom: 30px; padding: 20px; background: #f8f9fa; border-radius: 6px; }
.stat-item { text-align: center; }
.stat-number { font-size: 24px; font-weight: bold; color: #007bff; }
.stat-label { color: #666; margin-top: 5px; }
table { width: 100%; border-collapse: collapse; margin-top: 20px; }
th, td { padding: 12px; text-align: left; border-bottom: 1px solid #ddd; }
th { background-color: #f8f9fa; font-weight: bold; color: #495057; }
tr:hover { background-color: #f5f5f5; }
.file-link { color: #007bff; text-decoration: none; font-weight: 500; }
.file-link:hover { text-decoration: underline; }
.file-type { padding: 3px 8px; border-radius: 12px; font-size: 12px; font-weight: bold; }
.json-type { background: #e3f2fd; color: #1976d2; }
.csv-type { background: #e8f5e8; color: #388e3c; }
.api-info { margin-top: 30px; padding: 20px; background: #fff3cd; border-radius: 6px; border-left: 4px solid #ffc107; }
.api-title { font-weight: bold; color: #856404; margin-bottom: 10px; }
.api-url { font-family: monospace; background: #f8f9fa; padding: 2px 6px; border-radius: 3px; }
/* 新增：主界面即时查询 API 链接区块 */
.api-link { margin-top: 10px; padding: 10px; background: #fffbe6; border: 1px solid #ffe58f; border-radius: 6px; font-size: 12px; }
.api-link .url { width: 100%; box-sizing: border-box; margin-top: 6px; padding: 8px; font-family: monospace; font-size: 12px; border: 1px solid #ddd; border-radius: 4px; background: #fafafa; }
</style>
</head>
<body>
<div class="container">
<h1>📈 股票数据服务器</h1>
<div class="stats">
<div class="stat-item">
<div class="stat-number">{{ total_files }}</div>
<div class="stat-label">总文件数</div>
</div>
<div class="stat-item">
<div class="stat-number">{{ json_files }}</div>
<div class="stat-label">JSON文件</div>
</div>
<div class="stat-item">
<div class="stat-number">{{ csv_files }}</div>
<div class="stat-label">CSV文件</div>
</div>
<div class="stat-item">
<div class="stat-number">{{ total_size_mb }}</div>
<div class="stat-label">总大小(MB)</div>
</div>
</div>
<!-- 顶部即时查询表单（新增） -->
<div class="container" style="margin-top: 10px; margin-bottom: 10px; padding: 16px; background: #eef2ff; border-radius: 8px;">
<div style="display:flex; gap:10px; align-items:center; flex-wrap: wrap;">
<input id="q_stock" type="text" placeholder="股票代码，如 600689.SH" style="flex:1; min-width:240px; padding:10px; border:2px solid #cbd5e1; border-radius:6px;">
<select id="q_mode" style="padding:10px; border:2px solid #cbd5e1; border-radius:6px;">
<option value="realtime" selected>即时股价</option>
<option value="kline">K线</option>
</select>
<select id="q_period" style="padding:10px; border:2px solid #cbd5e1; border-radius:6px;">
<option value="1m">1m</option>
<option value="5m">5m</option>
<option value="15m" selected>15m</option>
<option value="30m">30m</option>
<option value="60m">60m</option>
<option value="1d">1d</option>
<option value="1w">1w</option>
<option value="1M">1M</option>
</select>
<select id="q_dividend" style="padding:10px; border:2px solid #cbd5e1; border-radius:6px;">
<option value="front" selected>前复权</option>
<option value="none">不复权</option>
<option value="back">后复权</option>
</select>
<button id="q_btn" style="padding:10px 16px; background:#667eea; color:#fff; border:none; border-radius:6px; cursor:pointer;">查询</button>
</div>
<div id="q_info" style="margin-top:8px; color:#555; font-size:13px;">提示：查询会写入 ./data 并返回结果预览，可能耗时数秒。</div>
<div id="q_links" style="margin-top:8px;"></div>
<pre id="q_result" style="margin-top:10px; background:#f8fafc; padding:10px; border-radius:6px; font-size:12px; overflow:auto;"></pre>
<div id="q_api" class="api-link" style="display:none;">
<div><strong>可复制API(GET)：</strong><span style="color:#666; font-size:12px;">（将该地址用于程序调用同样查询）</span></div>
<input id="q_api_url" class="url" readonly value="" />
<div style="margin-top:6px;">
<button id="q_copy">复制链接</button>
<a id="q_open" href="#" target="_blank" style="margin-left:10px;">新窗口打开</a>
</div>
</div>
</div>
<table>
<thead>
<tr>
<th>文件名</th>
<th>类型</th>
<th>大小</th>
<th>股票代码</th>
<th>数据类型</th>
<th>最后修改</th>
<th>操作</th>
</tr>
</thead>
<tbody>
{% for file in files %}
<tr>
<td><strong>{{ file.name }}</strong></td>
<td><span class="file-type {{ file.type.lower() }}-type">{{ file.type }}</span></td>
<td>{{ file.size_mb }} MB</td>
<td>{{ file.info.stock_code }}</td>
<td>{{ file.info.data_type }}</td>
<td>{{ file.modified }}</td>
<td>
<a href="/api/files/{{ file.name }}" class="file-link" target="_blank">查看原始数据</a> |
<a href="/api/files/{{ file.name }}?format=json" class="file-link" target="_blank">JSON格式</a> |
<a href="/api/files/{{ file.name }}?format=json&reverse_time=true" class="file-link" target="_blank">最新在前</a>
</td>
</tr>
{% endfor %}
</tbody>
</table>
<div class="api-info">
<div class="api-title">📡 API接口说明：</div>
<p><strong>文件列表：</strong> <span class="api-url">GET /api/files</span></p>
<p><strong>获取文件：</strong> <span class="api-url">GET /api/files/<filename></span></p>
<p><strong>JSON格式：</strong> <span class="api-url">GET /api/files/<filename>?format=json</span></p>
<p><strong>限制条数：</strong> <span class="api-url">GET /api/files/<filename>?format=json&limit=100</span> (返回最后100条记录)</p>
<p><strong>逆转时间排序：</strong> <span class="api-url">GET /api/files/<filename>?format=json&reverse_time=true</span> (最新数据在前)</p>
<p><strong>组合参数：</strong> <span class="api-url">GET /api/files/<filename>?format=json&reverse_time=true&limit=50</span> (最新50条)</p>
<p><strong>指定编码：</strong> <span class="api-url">GET /api/files/<filename>?encoding=gb2312</span> (支持gb2312、gbk等编码)</p>
<p><strong>下载文件：</strong> <span class="api-url">GET /api/download/<filename></span></p>
<p><strong>统计信息：</strong> <span class="api-url">GET /api/stats</span></p>
<p><strong>即时查询页面：</strong> <span class="api-url">GET /instant</span></p>
<p><strong>即时查询API：</strong> <span class="api-url">POST /api/instant_query</span>（参数：stock_code, dividend_type 可选）</p>
<p><strong>MCP接口：</strong> <span class="api-url">POST /mcp</span>（JSON-RPC 2.0，支持 tools/list、tools/call、resources/list 等）</p>
</div>
<script>
(function(){
const btn = document.getElementById('q_btn');
const stock = document.getElementById('q_stock');
const mode = document.getElementById('q_mode');
const period = document.getElementById('q_period');
const dividend = document.getElementById('q_dividend');
const info = document.getElementById('q_info');
const resultEl = document.getElementById('q_result');
const linksEl = document.getElementById('q_links');
const apiBox = document.getElementById('q_api');
const apiUrlEl = document.getElementById('q_api_url');
const apiOpen = document.getElementById('q_open');
const apiCopy = document.getElementById('q_copy');
function switchUI(){
const m = mode.value;
period.disabled = (m !== 'kline');
dividend.disabled = (m !== 'kline');
}
mode.addEventListener('change', switchUI);
switchUI();
btn.addEventListener('click', async () => {
const code = (stock.value||'').trim();
if(!code){ alert('请输入股票代码'); return; }
btn.disabled = true; resultEl.textContent = '正在查询，请稍候...'; linksEl.innerHTML = '';
try{
// 构造参数：realtime 仅实时；kline 仅该周期K线 + 实时
let payload = { stock_code: code, dividend_type: dividend.value, include_realtime: true };
if(mode.value === 'realtime'){
payload['periods'] = []; // 不拉取任何K线
}else{
payload['periods'] = [period.value];
}
const resp = await fetch('/api/instant_query', {
method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payload)
});
const data = await resp.json();
if(!resp.ok || !data.success){ resultEl.textContent = '查询失败: ' + (data.message || data.error || '未知错误'); apiBox.style.display='none'; return; }
// 链接
const kfiles = data.kline_files || {}; const list=[];
for(const [p, fname] of Object.entries(kfiles)){
const url = `/api/files/${fname}?format=json&reverse_time=true&limit=50`;
list.push(`<a href="${url}" target="_blank">${p} 最近50条</a>`);
}
linksEl.innerHTML = list.join(' | ');
const show = { stock_code: data.stock_code, mode: mode.value, realtime: data.realtime_data, previews: data.kline_preview };
resultEl.textContent = JSON.stringify(show, null, 2);
// 构造可复制 GET API 链接
const base = window.location.origin;
const usp = new URLSearchParams();
usp.set('stock_code', code);
usp.set('dividend_type', dividend.value);
usp.set('include_realtime', 'true');
usp.set('preview_limit', '5');
if(mode.value === 'kline'){
usp.set('periods', period.value);
}else{
// 实时模式：不传K线参数，改为显式 only_realtime=true
usp.set('only_realtime', 'true');
}
const fullUrl = `${base}/api/instant_query?${usp.toString()}`;
apiUrlEl.value = fullUrl;
apiOpen.href = fullUrl;
apiBox.style.display = '';
}catch(e){ resultEl.textContent = '请求异常: ' + e; }
finally{ btn.disabled = false; }
});
apiCopy?.addEventListener('click', async ()=>{
try{ await navigator.clipboard.writeText(apiUrlEl.value); apiCopy.textContent='已复制'; setTimeout(()=>apiCopy.textContent='复制链接', 1200); }catch(e){}
});
})();
</script>
</div>
</body>
</html>
'''
# 计算统计信息
total_files = len(files)
json_files = len([f for f in files if f['type'] == 'JSON'])
csv_files = len([f for f in files if f['type'] == 'CSV'])
total_size_mb = round(sum(f['size_mb'] for f in files), 2)
# 为每个文件添加解析信息
for file in files:
file['info'] = parse_filename(file['name'])
from jinja2 import Template
template_obj = Template(template)
return template_obj.render(
files=files,
total_files=total_files,
json_files=json_files,
csv_files=csv_files,
total_size_mb=total_size_mb
)
@app.route('/api/files')
@require_auth
def list_files():
"""API: 获取所有文件列表"""
files = get_data_files()
for file in files:
file['info'] = parse_filename(file['name'])
return jsonify({
'success': True,
'count': len(files),
'files': files
})
@app.route('/api/files/<filename>')
@require_auth
def get_file(filename):
"""API: 获取特定文件内容"""
filepath = os.path.join(BASE_DIR, filename)
if not os.path.exists(filepath):
return jsonify({'error': f'文件 {filename} 不存在'}), 404
if not filename.lower().endswith(('.json', '.csv')):
return jsonify({'error': '只支持JSON和CSV文件'}), 400
format_type = request.args.get('format', 'original').lower()
limit = request.args.get('limit', type=int) # 获取limit参数
encoding = request.args.get('encoding', 'utf-8').lower() # 获取编码参数，默认utf-8
reverse_time = request.args.get('reverse_time', 'false').lower() in ['true', '1', 'yes'] # 是否逆转时间排序
try:
if filename.lower().endswith('.json'):
with open(filepath, 'r', encoding=encoding) as f:
data = json.load(f)
# 如果数据是列表且指定了limit，只返回最后N条
if limit and isinstance(data, list):
original_length = len(data)
data = data[-limit:] if limit < len(data) else data
return jsonify({
'success': True,
'filename': filename,
'total_rows': original_length,
'returned_rows': len(data),
'limit_applied': limit,
'data': data
})
if format_type == 'json' or format_type == 'original':
return jsonify(data)
elif filename.lower().endswith('.csv'):
if format_type == 'json':
# CSV转换为JSON格式
df = pd.read_csv(filepath, encoding=encoding)
total_rows = len(df)
# 如果需要逆转时间排序，寻找时间字段并排序
if reverse_time:
# 常见的时间字段名称
time_columns = ['datetime', 'time', 'date', 'timestamp', 'create_time', 'update_time']
time_column = None
# 查找存在的时间字段
for col in time_columns:
if col in df.columns:
time_column = col
break
if time_column:
# 如果是字符串格式的日期时间，尝试转换为datetime类型进行排序
if df[time_column].dtype == 'object':
try:
df[time_column] = pd.to_datetime(df[time_column])
except:
pass # 如果转换失败，保持原始格式
# 按时间字段降序排序（最新的在前面）
df = df.sort_values(by=time_column, ascending=False)
# 如果指定了limit，在排序后取前N条记录
if limit and limit < total_rows:
df = df.head(limit) if reverse_time else df.tail(limit)
# 如果之前转换了时间格式，转换回字符串以便JSON序列化
for col in df.columns:
if df[col].dtype == 'datetime64[ns]':
df[col] = df[col].dt.strftime('%Y-%m-%d %H:%M:%S')
data = df.to_dict('records')
return jsonify({
'success': True,
'filename': filename,
'total_rows': total_rows,
'returned_rows': len(data),
'limit_applied': limit if limit else None,
'reverse_time_applied': reverse_time,
'columns': list(df.columns),
'data': data
})
else:
# 返回原始CSV内容（不支持limit）
if limit:
return jsonify({'error': '原始CSV格式不支持limit参数，请使用format=json'}), 400
# 如果指定了非UTF-8编码，需要转换编码
if encoding != 'utf-8':
with open(filepath, 'r', encoding=encoding) as f:
content = f.read()
from flask import Response
return Response(content, mimetype='text/csv; charset=utf-8')
else:
return send_file(filepath, as_attachment=False, mimetype='text/csv')
except Exception as e:
logger.error(f"读取文件 {filename} 时出错: {str(e)}")
return jsonify({'error': f'读取文件时出错: {str(e)}'}), 500
@app.route('/api/download/<filename>')
@require_auth
def download_file(filename):
"""API: 下载文件"""
filepath = os.path.join(BASE_DIR, filename)
if not os.path.exists(filepath):
return jsonify({'error': f'文件 {filename} 不存在'}), 404
if not filename.lower().endswith(('.json', '.csv')):
return jsonify({'error': '只支持JSON和CSV文件'}), 400
return send_file(filepath, as_attachment=True)
@app.route('/api/stats')
@require_auth
def get_stats():
"""API: 获取统计信息"""
files = get_data_files()
stats = {
'total_files': len(files),
'json_files': len([f for f in files if f['type'] == 'JSON']),
'csv_files': len([f for f in files if f['type'] == 'CSV']),
'total_size_bytes': sum(f['size'] for f in files),
'total_size_mb': round(sum(f['size_mb'] for f in files), 2),
'last_updated': datetime.now().strftime('%Y-%m-%d %H:%M:%S')
}
return jsonify({
'success': True,
'stats': stats
})
@app.route('/logout', methods=['POST', 'GET'])
def logout():
"""登出功能"""
session.pop('authenticated', None)
return jsonify({'success': True, 'message': '已成功登出'})
# ========================= MCP (Model Context Protocol) 接口 ========================= #
# MCP 协议版本
MCP_PROTOCOL_VERSION = "2024-11-05"
# MCP 服务器信息
MCP_SERVER_INFO = {
"name": "qmt-stock-server",
"version": "1.0.0"
}
# 定义 MCP 可用工具
MCP_TOOLS = [
{
"name": "list_files",
"description": "列出所有可用的股票数据文件（JSON和CSV格式）",
"inputSchema": {
"type": "object",
"properties": {},
"required": []
}
},
{
"name": "get_file",
"description": "获取指定股票数据文件的内容",
"inputSchema": {
"type": "object",
"properties": {
"filename": {
"type": "string",
"description": "文件名，如 600689_SH_kline_1d.csv"
},
"format": {
"type": "string",
"enum": ["json", "original"],
"description": "返回格式，默认为json"
},
"limit": {
"type": "integer",
"description": "限制返回记录数"
},
"reverse_time": {
"type": "boolean",
"description": "是否按时间倒序排列（最新在前）"
}
},
"required": ["filename"]
}
},
{
"name": "get_stats",
"description": "获取服务器统计信息，包括文件数量、总大小等",
"inputSchema": {
"type": "object",
"properties": {},
"required": []
}
},
{
"name": "instant_query",
"description": "即时查询股票数据，拉取最新K线和实时价格",
"inputSchema": {
"type": "object",
"properties": {
"stock_code": {
"type": "string",
"description": "股票代码，如 600689.SH"
},
"dividend_type": {
"type": "string",
"enum": ["front", "none", "back"],
"description": "复权类型：front(前复权)、none(不复权)、back(后复权)"
},
"periods": {
"type": "array",
"items": {"type": "string"},
"description": "K线周期列表，如 ['1d', '1w']，留空则只获取实时价格"
},
"include_realtime": {
"type": "boolean",
"description": "是否包含实时价格数据"
}
},
"required": ["stock_code"]
}
}
]
def mcp_error_response(req_id, code, message):
"""构造 MCP 错误响应"""
return jsonify({
"jsonrpc": "2.0",
"id": req_id,
"error": {
"code": code,
"message": message
}
})
def mcp_success_response(req_id, result):
"""构造 MCP 成功响应"""
return jsonify({
"jsonrpc": "2.0",
"id": req_id,
"result": result
})
def handle_mcp_initialize(req_id, params):
"""处理 MCP initialize 请求"""
return mcp_success_response(req_id, {
"protocolVersion": MCP_PROTOCOL_VERSION,
"capabilities": {
"tools": {},
"resources": {}
},
"serverInfo": MCP_SERVER_INFO
})
def handle_mcp_tools_list(req_id, params):
"""处理 MCP tools/list 请求"""
return mcp_success_response(req_id, {
"tools": MCP_TOOLS
})
def handle_mcp_tools_call(req_id, params):
"""处理 MCP tools/call 请求"""
tool_name = params.get("name")
arguments = params.get("arguments", {})
try:
if tool_name == "list_files":
files = get_data_files()
for file in files:
file['info'] = parse_filename(file['name'])
return mcp_success_response(req_id, {
"content": [{
"type": "text",
"text": json.dumps({
"success": True,
"count": len(files),
"files": files
}, ensure_ascii=False, indent=2)
}]
})
elif tool_name == "get_file":
filename = arguments.get("filename")
if not filename:
return mcp_error_response(req_id, -32602, "缺少参数: filename")
filepath = os.path.join(BASE_DIR, filename)
if not os.path.exists(filepath):
return mcp_error_response(req_id, -32602, f"文件 {filename} 不存在")
format_type = arguments.get("format", "json")
limit = arguments.get("limit")
reverse_time = arguments.get("reverse_time", False)
if filename.lower().endswith('.json'):
with open(filepath, 'r', encoding='utf-8') as f:
data = json.load(f)
if limit and isinstance(data, list):
data = data[-limit:]
elif filename.lower().endswith('.csv'):
df = pd.read_csv(filepath, encoding='utf-8')
if reverse_time:
time_columns = ['datetime', 'time', 'date', 'timestamp']
for col in time_columns:
if col in df.columns:
df = df.sort_values(by=col, ascending=False)
break
if limit:
df = df.head(limit) if reverse_time else df.tail(limit)
data = df.to_dict('records')
else:
return mcp_error_response(req_id, -32602, "不支持的文件类型")
return mcp_success_response(req_id, {
"content": [{
"type": "text",
"text": json.dumps({
"success": True,
"filename": filename,
"data": data
}, ensure_ascii=False, indent=2)
}]
})
elif tool_name == "get_stats":
files = get_data_files()
stats = {
'total_files': len(files),
'json_files': len([f for f in files if f['type'] == 'JSON']),
'csv_files': len([f for f in files if f['type'] == 'CSV']),
'total_size_bytes': sum(f['size'] for f in files),
'total_size_mb': round(sum(f['size_mb'] for f in files), 2),
'last_updated': datetime.now().strftime('%Y-%m-%d %H:%M:%S')
}
return mcp_success_response(req_id, {
"content": [{
"type": "text",
"text": json.dumps({
"success": True,
"stats": stats
}, ensure_ascii=False, indent=2)
}]
})
elif tool_name == "instant_query":
if perform_instant_update is None:
return mcp_error_response(req_id, -32603, "即时查询模块未加载")
stock_code = arguments.get("stock_code")
if not stock_code:
return mcp_error_response(req_id, -32602, "缺少参数: stock_code")
dividend_type = arguments.get("dividend_type", "front")
periods = arguments.get("periods")
include_realtime = arguments.get("include_realtime", True)
result = perform_instant_update(
stock_code=stock_code,
dividend_type=dividend_type,
include_periods=periods,
include_realtime=include_realtime,
preview_limit=5
)
return mcp_success_response(req_id, {
"content": [{
"type": "text",
"text": json.dumps(result, ensure_ascii=False, indent=2)
}]
})
else:
return mcp_error_response(req_id, -32601, f"未知的工具: {tool_name}")
except Exception as e:
logger.error(f"MCP tools/call 错误: {e}")
return mcp_error_response(req_id, -32603, f"工具调用失败: {str(e)}")
def handle_mcp_resources_list(req_id, params):
"""处理 MCP resources/list 请求"""
files = get_data_files()
resources = []
for file in files:
resources.append({
"uri": f"file:///{file['name']}",
"name": file['name'],
"description": f"{file['type']}格式股票数据文件，大小{file['size_mb']}MB",
"mimeType": "application/json" if file['type'] == 'JSON' else "text/csv"
})
return mcp_success_response(req_id, {
"resources": resources
})
def handle_mcp_resources_read(req_id, params):
"""处理 MCP resources/read 请求"""
uri = params.get("uri", "")
# 从 uri 提取文件名
filename = uri.replace("file:///", "")
if not filename:
return mcp_error_response(req_id, -32602, "缺少参数: uri")
filepath = os.path.join(BASE_DIR, filename)
if not os.path.exists(filepath):
return mcp_error_response(req_id, -32602, f"资源 {filename} 不存在")
try:
if filename.lower().endswith('.json'):
with open(filepath, 'r', encoding='utf-8') as f:
content = f.read()
mime_type = "application/json"
elif filename.lower().endswith('.csv'):
with open(filepath, 'r', encoding='utf-8') as f:
content = f.read()
mime_type = "text/csv"
else:
return mcp_error_response(req_id, -32602, "不支持的文件类型")
return mcp_success_response(req_id, {
"contents": [{
"uri": uri,
"mimeType": mime_type,
"text": content
}]
})
except Exception as e:
return mcp_error_response(req_id, -32603, f"读取资源失败: {str(e)}")
@app.route('/mcp', methods=['POST'])
@require_auth
def mcp_endpoint():
"""
MCP (Model Context Protocol) JSON-RPC 2.0 端点
支持的方法:
- initialize: 初始化 MCP 连接
- tools/list: 列出可用工具
- tools/call: 调用工具
- resources/list: 列出可用资源
- resources/read: 读取资源内容
"""