init
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241
app/routes/stocks.py
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241
app/routes/stocks.py
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from flask import Blueprint, request, jsonify
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from app import db
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from clickhouse_driver import Client
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import pandas as pd
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from datetime import datetime, timedelta
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import pytz
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bp = Blueprint('stocks', __name__, url_prefix='/api/stock')
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def get_clickhouse_client():
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"""获取ClickHouse客户端"""
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return Client('localhost', port=9000, user='default', password='', database='default')
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@bp.route('/quotes', methods=['GET', 'POST'])
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def get_stock_quotes():
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"""获取股票实时报价"""
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try:
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if request.method == 'GET':
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# GET 请求从 URL 参数获取数据
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codes = request.args.get('codes', '').split(',')
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event_time_str = request.args.get('event_time')
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else:
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# POST 请求从 JSON 获取数据
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codes = request.json.get('codes', [])
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event_time_str = request.json.get('event_time')
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if not codes:
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return jsonify({'success': False, 'error': '请提供股票代码'}), 400
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# 过滤空字符串
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codes = [code.strip() for code in codes if code.strip()]
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if not codes:
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return jsonify({'success': False, 'error': '请提供有效的股票代码'}), 400
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# 解析事件时间
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event_time = None
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if event_time_str:
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try:
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event_time = datetime.fromisoformat(event_time_str.replace('Z', '+00:00'))
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except ValueError:
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return jsonify({'success': False, 'error': '事件时间格式错误'}), 400
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# 获取当前时间
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now = datetime.now(pytz.timezone('Asia/Shanghai'))
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# 如果提供了事件时间，使用事件时间；否则使用当前时间
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target_time = event_time if event_time else now
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# 获取交易日和交易时间
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def get_trading_day_and_times(event_datetime):
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"""获取交易日和交易时间列表"""
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# 这里简化处理，实际应该查询交易日历
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trading_day = event_datetime.strftime('%Y-%m-%d')
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# 生成交易时间列表 (9:30-11:30, 13:00-15:00)
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morning_times = [f"{trading_day} {hour:02d}:{minute:02d}"
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for hour in range(9, 12)
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for minute in range(0, 60, 1)
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if not (hour == 9 and minute < 30) and not (hour == 11 and minute > 30)]
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afternoon_times = [f"{trading_day} {hour:02d}:{minute:02d}"
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for hour in range(13, 16)
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for minute in range(0, 60, 1)]
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return trading_day, morning_times + afternoon_times
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trading_day, trading_times = get_trading_day_and_times(target_time)
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# 模拟股票数据
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results = {}
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for code in codes:
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# 这里应该从ClickHouse或其他数据源获取真实数据
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# 现在使用模拟数据
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import random
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base_price = 10.0 + random.random() * 20.0
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change = (random.random() - 0.5) * 2.0
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results[code] = {
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'price': round(base_price, 2),
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'change': round(change, 2),
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'name': f'股票{code}'
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}
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return jsonify({
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'success': True,
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'data': results
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})
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except Exception as e:
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print(f"Error getting stock quotes: {e}")
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return jsonify({'success': False, 'error': str(e)}), 500
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@bp.route('/<stock_code>/kline')
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def get_stock_kline(stock_code):
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"""获取股票K线数据"""
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try:
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chart_type = request.args.get('type', 'daily')
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event_time_str = request.args.get('event_time')
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if not event_time_str:
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return jsonify({'success': False, 'error': '请提供事件时间'}), 400
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try:
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event_datetime = datetime.fromisoformat(event_time_str.replace('Z', '+00:00'))
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except ValueError:
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return jsonify({'success': False, 'error': '事件时间格式错误'}), 400
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# 获取股票名称（这里简化处理）
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stock_name = f'股票{stock_code}'
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if chart_type == 'daily':
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return get_daily_kline(stock_code, event_datetime, stock_name)
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elif chart_type == 'minute':
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return get_minute_kline(stock_code, event_datetime, stock_name)
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elif chart_type == 'timeline':
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return get_timeline_data(stock_code, event_datetime, stock_name)
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else:
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return jsonify({'error': f'Unsupported chart type: {chart_type}'}), 400
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except Exception as e:
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print(f"Error getting stock kline: {e}")
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return jsonify({'success': False, 'error': str(e)}), 500
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def get_daily_kline(stock_code, event_datetime, stock_name):
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"""获取日K线数据"""
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try:
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# 模拟日K线数据
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data = []
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base_price = 10.0
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for i in range(30):
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date = (event_datetime - timedelta(days=30-i)).strftime('%Y-%m-%d')
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open_price = base_price + (i * 0.1) + (i % 3 - 1) * 0.5
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close_price = open_price + (i % 5 - 2) * 0.3
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high_price = max(open_price, close_price) + 0.2
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low_price = min(open_price, close_price) - 0.2
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volume = 1000000 + i * 50000
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data.append({
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'date': date,
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'open': round(open_price, 2),
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'close': round(close_price, 2),
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'high': round(high_price, 2),
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'low': round(low_price, 2),
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'volume': volume
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})
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return jsonify({
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'code': stock_code,
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'name': stock_name,
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'trade_date': event_datetime.strftime('%Y-%m-%d'),
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'data': data
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})
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except Exception as e:
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print(f"Error getting daily kline: {e}")
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return jsonify({'success': False, 'error': str(e)}), 500
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def get_minute_kline(stock_code, event_datetime, stock_name):
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"""获取分钟K线数据"""
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try:
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# 模拟分钟K线数据
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data = []
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base_price = 10.0
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trading_times = []
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# 生成交易时间
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for hour in range(9, 16):
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if hour == 12:
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continue
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for minute in range(0, 60):
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if (hour == 9 and minute < 30) or (hour == 11 and minute > 30):
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continue
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trading_times.append(f"{hour:02d}:{minute:02d}")
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for i, time in enumerate(trading_times):
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open_price = base_price + (i * 0.01) + (i % 10 - 5) * 0.02
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close_price = open_price + (i % 7 - 3) * 0.01
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high_price = max(open_price, close_price) + 0.01
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low_price = min(open_price, close_price) - 0.01
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volume = 50000 + i * 1000
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data.append({
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'time': time,
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'open': round(open_price, 2),
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'close': round(close_price, 2),
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'high': round(high_price, 2),
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'low': round(low_price, 2),
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'volume': volume
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})
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return jsonify({
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'code': stock_code,
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'name': stock_name,
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'trade_date': event_datetime.strftime('%Y-%m-%d'),
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'data': data
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})
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except Exception as e:
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print(f"Error getting minute kline: {e}")
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return jsonify({'success': False, 'error': str(e)}), 500
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def get_timeline_data(stock_code, event_datetime, stock_name):
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"""获取分时图数据"""
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try:
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# 模拟分时图数据
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data = []
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base_price = 10.0
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trading_times = []
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# 生成交易时间
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for hour in range(9, 16):
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if hour == 12:
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continue
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for minute in range(0, 60):
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if (hour == 9 and minute < 30) or (hour == 11 and minute > 30):
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continue
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trading_times.append(f"{hour:02d}:{minute:02d}")
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for i, time in enumerate(trading_times):
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price = base_price + (i * 0.01) + (i % 10 - 5) * 0.02
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avg_price = price + (i % 5 - 2) * 0.01
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volume = 50000 + i * 1000
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data.append({
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'time': time,
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'price': round(price, 2),
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'avg_price': round(avg_price, 2),
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'volume': volume
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})
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return jsonify({
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'code': stock_code,
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'name': stock_name,
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'trade_date': event_datetime.strftime('%Y-%m-%d'),
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'data': data
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})
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except Exception as e:
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print(f"Error getting timeline data: {e}")
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return jsonify({'success': False, 'error': str(e)}), 500
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