238 lines
7.1 KiB
Python
Executable File
238 lines
7.1 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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数据库管理模块 - SQLite缓存系统
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"""
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import sqlite3
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import json
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import hashlib
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from datetime import datetime, timedelta
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from typing import Optional, List, Dict
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import logging
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logger = logging.getLogger(__name__)
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class CacheDatabase:
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"""缓存数据库管理"""
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def __init__(self, db_path="/home/atai/bot_data/cache.db"):
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self.db_path = db_path
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self.init_database()
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def init_database(self):
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"""初始化数据库表"""
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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# 创建缓存表
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS search_cache (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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command TEXT NOT NULL,
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keyword TEXT NOT NULL,
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page INTEGER NOT NULL,
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result_text TEXT,
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result_html TEXT,
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buttons_json TEXT,
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result_hash TEXT,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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expires_at TIMESTAMP,
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access_count INTEGER DEFAULT 0,
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last_accessed TIMESTAMP
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)
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""")
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# 创建唯一索引(防止重复)
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cursor.execute("""
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CREATE UNIQUE INDEX IF NOT EXISTS idx_unique_cache
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ON search_cache(command, keyword, page, result_hash)
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""")
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# 创建查询索引
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cursor.execute("""
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CREATE INDEX IF NOT EXISTS idx_search
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ON search_cache(command, keyword, page)
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""")
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# 创建过期时间索引
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cursor.execute("""
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CREATE INDEX IF NOT EXISTS idx_expires
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ON search_cache(expires_at)
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""")
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conn.commit()
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conn.close()
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logger.info("数据库初始化完成")
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def get_cache(self, command: str, keyword: str, page: int) -> Optional[Dict]:
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"""
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获取缓存
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返回: {"text": str, "html": str, "buttons": list} 或 None
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"""
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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cursor.execute("""
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SELECT result_text, result_html, buttons_json, id
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FROM search_cache
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WHERE command = ? AND keyword = ? AND page = ?
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AND (expires_at IS NULL OR expires_at > ?)
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ORDER BY created_at DESC
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LIMIT 1
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""", (command, keyword, page, datetime.now()))
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row = cursor.fetchone()
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if row:
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# 更新访问统计
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cursor.execute("""
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UPDATE search_cache
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SET access_count = access_count + 1,
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last_accessed = ?
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WHERE id = ?
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""", (datetime.now(), row[3]))
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conn.commit()
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result = {
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"text": row[0],
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"html": row[1],
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"buttons": json.loads(row[2]) if row[2] else None
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}
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conn.close()
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logger.info(f"缓存命中: {command} {keyword} page{page}")
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return result
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conn.close()
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return None
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def save_cache(self, command: str, keyword: str, page: int,
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result_text: str, buttons_or_html = None,
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buttons: list = None, expiry_days: int = 30):
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"""
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保存缓存 - 兼容两种调用方式
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"""
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# 兼容老代码: save_cache(cmd, keyword, page, text, buttons)
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if isinstance(buttons_or_html, list):
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buttons = buttons_or_html
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result_html = None
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else:
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result_html = buttons_or_html
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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# 计算结果哈希(用于去重)
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result_hash = hashlib.md5(result_text.encode()).hexdigest()
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# 计算过期时间
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expires_at = datetime.now() + timedelta(days=expiry_days)
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# 按钮JSON化
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buttons_json = json.dumps(buttons, ensure_ascii=False) if buttons else None
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try:
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cursor.execute("""
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INSERT OR REPLACE INTO search_cache
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(command, keyword, page, result_text, result_html, buttons_json,
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result_hash, expires_at, last_accessed)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
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""", (command, keyword, page, result_text, result_html, buttons_json,
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result_hash, expires_at, datetime.now()))
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conn.commit()
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logger.info(f"缓存已保存: {command} {keyword} page{page}")
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return True
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except sqlite3.IntegrityError as e:
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logger.debug(f"缓存已存在(去重): {e}")
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return False
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finally:
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conn.close()
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def clean_expired(self):
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"""清理过期缓存"""
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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cursor.execute("""
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DELETE FROM search_cache
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WHERE expires_at IS NOT NULL AND expires_at < ?
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""", (datetime.now(),))
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deleted = cursor.rowcount
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conn.commit()
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conn.close()
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if deleted > 0:
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logger.info(f"清理过期缓存: {deleted}条")
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return deleted
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def get_stats(self) -> Dict:
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"""获取统计信息"""
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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# 总缓存数
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cursor.execute("SELECT COUNT(*) FROM search_cache")
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total = cursor.fetchone()[0]
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# 有效缓存数
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cursor.execute("""
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SELECT COUNT(*) FROM search_cache
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WHERE expires_at IS NULL OR expires_at > ?
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""", (datetime.now(),))
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valid = cursor.fetchone()[0]
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# 过期缓存数
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expired = total - valid
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# 最常访问
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cursor.execute("""
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SELECT command, keyword, access_count
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FROM search_cache
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ORDER BY access_count DESC
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LIMIT 10
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""")
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top_accessed = cursor.fetchall()
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conn.close()
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return {
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"total": total,
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"valid": valid,
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"expired": expired,
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"top_accessed": [
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{"command": row[0], "keyword": row[1], "count": row[2]}
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for row in top_accessed
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]
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}
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def search_history(self, keyword: str, limit: int = 20) -> List[Dict]:
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"""搜索历史记录"""
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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cursor.execute("""
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SELECT DISTINCT command, keyword, MAX(page) as max_page,
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COUNT(*) as page_count, MAX(created_at) as latest
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FROM search_cache
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WHERE keyword LIKE ?
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GROUP BY command, keyword
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ORDER BY latest DESC
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LIMIT ?
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""", (f"%{keyword}%", limit))
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results = []
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for row in cursor.fetchall():
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results.append({
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"command": row[0],
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"keyword": row[1],
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"total_pages": row[2],
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"cached_pages": row[3],
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"latest_update": row[4]
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})
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conn.close()
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return results
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