"""
生成包含内嵌数据的股票查看器HTML
用法:
python scripts/generate_stock_viewer.py
python scripts/generate_stock_viewer.py --date 20260120
python scripts/generate_stock_viewer.py --all-stocks # 显示所有108只股票
"""
from __future__ import annotations
import argparse
import csv
import os
import json
import sys
import pickle
import numpy as np
def load_all_stocks_list(data_dir: str) -> tuple:
"""从close.pkl加载所有股票列表"""
# 创建假模块以加载pickle
sys.modules['model'] = type('FakeModule', (), {'ndarray': np.ndarray, '__path__': []})()
sys.modules['model.index_info'] = sys.modules['model']
close_path = os.path.join(data_dir, 'close.pkl')
with open(close_path, 'rb') as f:
data = pickle.load(f)
return data['tkrs'], data['tkrs_name']
def load_stock_data(csv_path: str, target_date: int = None, all_stocks_mode: bool = False, data_dir: str = 'data') -> tuple:
"""从CSV加载股票数据"""
stocks_map = {}
max_date = 0
with open(csv_path, 'r', encoding='utf-8-sig') as f:
reader = csv.DictReader(f)
for row in reader:
try:
date = int(row.get('date', '0'))
if date > max_date:
max_date = date
except:
continue
# 使用指定日期或最新日期
use_date = target_date if target_date else max_date
# 从CSV读取有强度分的股票
with open(csv_path, 'r', encoding='utf-8-sig') as f:
reader = csv.DictReader(f)
for row in reader:
try:
date = int(row.get('date', '0'))
if date != use_date:
continue
stock_code = row.get('stock_code', '')
stock = {
'idx': int(row.get('stock_idx', '0')),
'code': stock_code,
'name': row.get('stock_name', ''),
'strengthUp': float(row.get('breakout_strength_up', '0')),
'strengthDown': float(row.get('breakout_strength_down', '0')),
'direction': row.get('breakout_dir', ''),
'widthRatio': float(row.get('width_ratio', '0')),
'touchesUpper': int(row.get('touches_upper', '0')),
'touchesLower': int(row.get('touches_lower', '0')),
'volumeConfirmed': row.get('volume_confirmed', ''),
'activityScore': float(row.get('activity_score', '0')),
'tiltScore': float(row.get('tilt_score', '0')), # 新增：倾斜度分
'date': date,
'hasTriangle': True # 标记为有三角形形态
}
stock['strength'] = max(stock['strengthUp'], stock['strengthDown'])
# 清理文件名中的非法字符
clean_name = stock['name'].replace('*', '').replace('?', '').replace('"', '').replace('<', '').replace('>', '').replace('|', '').replace(':', '').replace('/', '').replace('\\', '')
stock['chartPath'] = f"charts/{date}_{stock_code}_{clean_name}.png"
stock['chartPathDetail'] = f"charts/{date}_{stock_code}_{clean_name}_detail.png"
if stock_code not in stocks_map or stocks_map[stock_code]['strength'] < stock['strength']:
stocks_map[stock_code] = stock
except Exception as e:
continue
# 如果是all_stocks模式，添加所有股票
if all_stocks_mode:
all_codes, all_names = load_all_stocks_list(data_dir)
for idx, (code, name) in enumerate(zip(all_codes, all_names)):
if code not in stocks_map:
# 没有三角形形态的股票，强度分为0
clean_name = name.replace('*', '').replace('?', '').replace('"', '').replace('<', '').replace('>', '').replace('|', '').replace(':', '').replace('/', '').replace('\\', '')
stocks_map[code] = {
'idx': idx,
'code': code,
'name': name,
'strengthUp': 0.0,
'strengthDown': 0.0,
'strength': 0.0,
'direction': 'none',
'widthRatio': 0.0,
'touchesUpper': 0,
'touchesLower': 0,
'volumeConfirmed': '',
'boundaryUtilization': 0.0,
'date': use_date,
'chartPath': f"charts/{use_date}_{code}_{clean_name}.png",
'chartPathDetail': f"charts/{use_date}_{code}_{clean_name}_detail.png",
'hasTriangle': False # 标记为无三角形形态
}
stocks = list(stocks_map.values())
stocks.sort(key=lambda x: x['strength'], reverse=True)
return stocks, use_date
def generate_html(stocks: list, date: int, output_path: str):
"""生成包含数据的HTML"""
html_template = '''
收敛三角形强度分选股系统
📭
没有符合条件的股票
请降低强度分阈值以查看更多股票
![股票图表]()
'''
# 替换数据
stocks_json = json.dumps(stocks, ensure_ascii=False, indent=2)
html = html_template.replace('STOCK_DATA', stocks_json)
html = html.replace('DATA_DATE', str(date))
html = html.replace('TOTAL_STOCKS', str(len(stocks)))
with open(output_path, 'w', encoding='utf-8') as f:
f.write(html)
def main():
parser = argparse.ArgumentParser(description="生成包含内嵌数据的股票查看器HTML")
parser.add_argument(
"--date",
type=int,
default=None,
help="指定日期（YYYYMMDD），默认为最新日期"
)
parser.add_argument(
"--input",
default=os.path.join("outputs", "converging_triangles", "all_results.csv"),
help="输入CSV路径"
)
parser.add_argument(
"--output",
default=os.path.join("outputs", "converging_triangles", "stock_viewer.html"),
help="输出HTML路径"
)
parser.add_argument(
"--all-stocks",
action="store_true",
help="显示所有108只股票（包括不满足条件的）"
)
args = parser.parse_args()
print("=" * 70)
print("生成股票查看器HTML")
print("=" * 70)
if not os.path.exists(args.input):
print(f"错误: CSV文件不存在: {args.input}")
print("请先运行: python scripts/pipeline_converging_triangle.py")
return
print(f"读取数据: {args.input}")
print(f"模式: {'所有股票' if args.all_stocks else '仅满足条件的股票'}")
data_dir = "data"
stocks, date = load_stock_data(args.input, args.date, args.all_stocks, data_dir)
print(f"数据日期: {date}")
print(f"股票数量: {len(stocks)}")
if args.all_stocks:
has_triangle = sum(1 for s in stocks if s.get('hasTriangle', False))
print(f" - 有三角形形态: {has_triangle}")
print(f" - 无三角形形态: {len(stocks) - has_triangle}")
print(f"生成HTML: {args.output}")
generate_html(stocks, date, args.output)
print("\n完成!")
print(f"\n用浏览器打开: {args.output}")
print("=" * 70)
if __name__ == "__main__":
main()