""" AKShare Symbols Database Builder Downloads all stock symbols from 9 exchanges/markets and stores in SQLite for fast searching """ import sqlite3 import akshare as ak import pandas as pd from datetime import datetime import os import sys # Store in AppData like other terminal files APPDATA = os.environ.get('APPDATA', os.path.expanduser('~/.config')) DB_DIR = os.path.join(APPDATA, 'fincept-terminal') os.makedirs(DB_DIR, exist_ok=True) DB_PATH = os.path.join(DB_DIR, 'akshare_symbols.db') def create_database(): """Create SQLite database with symbols table""" conn = sqlite3.connect(DB_PATH) cursor = conn.cursor() # Drop existing table if exists cursor.execute('DROP TABLE IF EXISTS symbols') # Create symbols table cursor.execute(''' CREATE TABLE symbols ( id INTEGER PRIMARY KEY AUTOINCREMENT, exchange TEXT NOT NULL, symbol TEXT NOT NULL, name TEXT, name_en TEXT, latest_price REAL, change REAL, change_pct REAL, volume REAL, turnover REAL, market_cap REAL, last_updated TIMESTAMP, UNIQUE(exchange, symbol) ) ''') # Create indexes for fast searching cursor.execute('CREATE INDEX idx_exchange ON symbols(exchange)') cursor.execute('CREATE INDEX idx_symbol ON symbols(symbol)') cursor.execute('CREATE INDEX idx_name ON symbols(name)') cursor.execute('CREATE INDEX idx_search ON symbols(exchange, symbol, name)') conn.commit() conn.close() print(f"[OK] Database created: {DB_PATH}") def fetch_and_insert(exchange_name, fetch_function, column_mapping): """Fetch data from AKShare and insert into database""" print(f"\n> Fetching {exchange_name}...") try: df = fetch_function() if df is None or df.empty: print(f" [FAIL] No data returned for {exchange_name}") return 0 print(f" Found {len(df)} symbols") # Prepare data for insertion records = [] timestamp = datetime.now().isoformat() for _, row in df.iterrows(): record = { 'exchange': exchange_name, 'symbol': str(row.get(column_mapping.get('symbol', '代码'), '')), 'name': str(row.get(column_mapping.get('name', '名称'), '')), 'name_en': str(row.get(column_mapping.get('name_en', '英文名称'), '')) if 'name_en' in column_mapping else None, 'latest_price': float(row.get(column_mapping.get('price', '最新价'), 0)) if pd.notna(row.get(column_mapping.get('price', '最新价'))) else None, 'change': float(row.get(column_mapping.get('change', '涨跌额'), 0)) if pd.notna(row.get(column_mapping.get('change', '涨跌额'))) else None, 'change_pct': float(row.get(column_mapping.get('change_pct', '涨跌幅'), 0)) if pd.notna(row.get(column_mapping.get('change_pct', '涨跌幅'))) else None, 'volume': float(row.get(column_mapping.get('volume', '成交量'), 0)) if pd.notna(row.get(column_mapping.get('volume', '成交量'))) else None, 'turnover': float(row.get(column_mapping.get('turnover', '成交额'), 0)) if pd.notna(row.get(column_mapping.get('turnover', '成交额'))) else None, 'market_cap': float(row.get(column_mapping.get('market_cap', '总市值'), 0)) if pd.notna(row.get(column_mapping.get('market_cap', '总市值'))) else None, 'last_updated': timestamp } records.append(record) # Insert into database conn = sqlite3.connect(DB_PATH) cursor = conn.cursor() for record in records: cursor.execute(''' INSERT OR REPLACE INTO symbols (exchange, symbol, name, name_en, latest_price, change, change_pct, volume, turnover, market_cap, last_updated) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) ''', ( record['exchange'], record['symbol'], record['name'], record['name_en'], record['latest_price'], record['change'], record['change_pct'], record['volume'], record['turnover'], record['market_cap'], record['last_updated'] )) conn.commit() conn.close() print(f" [OK] Inserted {len(records)} symbols") return len(records) except Exception as e: print(f" [ERROR] {str(e)}") return 0 def build_database(): """Main function to build the complete symbols database""" print("=" * 60) print("AKShare Symbols Database Builder") print("=" * 60) create_database() total_symbols = 0 # Exchange configurations exchanges = [ { 'name': 'CN_A_SHANGHAI', 'function': ak.stock_sh_a_spot_em, 'mapping': {'symbol': '代码', 'name': '名称', 'price': '最新价', 'change': '涨跌额', 'change_pct': '涨跌幅', 'volume': '成交量', 'turnover': '成交额', 'market_cap': '总市值'} }, { 'name': 'CN_A_SHENZHEN', 'function': ak.stock_sz_a_spot_em, 'mapping': {'symbol': '代码', 'name': '名称', 'price': '最新价', 'change': '涨跌额', 'change_pct': '涨跌幅', 'volume': '成交量', 'turnover': '成交额', 'market_cap': '总市值'} }, { 'name': 'CN_BEIJING', 'function': ak.stock_bj_a_spot_em, 'mapping': {'symbol': '代码', 'name': '名称', 'price': '最新价', 'change': '涨跌额', 'change_pct': '涨跌幅', 'volume': '成交量', 'turnover': '成交额', 'market_cap': '总市值'} }, { 'name': 'CN_CHINEXT', 'function': ak.stock_cy_a_spot_em, 'mapping': {'symbol': '代码', 'name': '名称', 'price': '最新价', 'change': '涨跌额', 'change_pct': '涨跌幅', 'volume': '成交量', 'turnover': '成交额', 'market_cap': '总市值'} }, { 'name': 'CN_STAR', 'function': ak.stock_kc_a_spot_em, 'mapping': {'symbol': '代码', 'name': '名称', 'price': '最新价', 'change': '涨跌额', 'change_pct': '涨跌幅', 'volume': '成交量', 'turnover': '成交额', 'market_cap': '总市值'} }, { 'name': 'CN_B_SHARES', 'function': ak.stock_zh_b_spot_em, 'mapping': {'symbol': '代码', 'name': '名称', 'price': '最新价', 'change': '涨跌额', 'change_pct': '涨跌幅', 'volume': '成交量', 'turnover': '成交额'} }, { 'name': 'HK', 'function': ak.stock_hk_spot_em, 'mapping': {'symbol': '代码', 'name': '名称', 'name_en': '英文名称', 'price': '最新价', 'change': '涨跌额', 'change_pct': '涨跌幅', 'volume': '成交量', 'turnover': '成交额'} }, { 'name': 'US', 'function': ak.stock_us_spot_em, 'mapping': {'symbol': '代码', 'name': '名称', 'price': '最新价', 'change': '涨跌额', 'change_pct': '涨跌幅', 'volume': '成交量', 'turnover': '成交额', 'market_cap': '总市值'} }, { 'name': 'US_PINK', 'function': ak.stock_us_pink_spot_em, 'mapping': {'symbol': '代码', 'name': '名称', 'price': '最新价', 'change': '涨跌额', 'change_pct': '涨跌幅', 'volume': '成交量', 'turnover': '成交额'} }, ] # Fetch and insert data for each exchange for exchange_config in exchanges: count = fetch_and_insert( exchange_config['name'], exchange_config['function'], exchange_config['mapping'] ) total_symbols += count # Print summary print("\n" + "=" * 60) print("Database Build Complete") print("=" * 60) print(f"Total symbols: {total_symbols}") print(f"Database location: {DB_PATH}") print(f"Database size: {os.path.getsize(DB_PATH) / 1024 / 1024:.2f} MB") # Print exchange breakdown conn = sqlite3.connect(DB_PATH) cursor = conn.cursor() cursor.execute('SELECT exchange, COUNT(*) FROM symbols GROUP BY exchange ORDER BY exchange') print("\nBreakdown by exchange:") for exchange, count in cursor.fetchall(): print(f" {exchange}: {count:,} symbols") conn.close() if __name__ == '__main__': try: build_database() print("\n[OK] Success!") except KeyboardInterrupt: print("\n\n[STOP] Interrupted by user") sys.exit(1) except Exception as e: print(f"\n[ERROR] Fatal error: {str(e)}") import traceback traceback.print_exc() sys.exit(1)