- alphaear-deepear-lite: DeepEar Lite API integration - alphaear-logic-visualizer: Draw.io XML finance diagrams - alphaear-news: Real-time finance news (10+ sources) - alphaear-predictor: Kronos time-series forecasting - alphaear-reporter: Professional financial reports - alphaear-search: Web search + local RAG - alphaear-sentiment: FinBERT/LLM sentiment analysis - alphaear-signal-tracker: Signal evolution tracking - alphaear-stock: A-Share/HK/US stock data Updates: - All scripts updated to use universal .env path - Added JINA_API_KEY, LLM_*, DEEPSEEK_API_KEY to .env.example - Updated load_dotenv() to use ~/.config/opencode/.env
132 lines
4.4 KiB
Python
132 lines
4.4 KiB
Python
import sqlite3
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import json
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from datetime import datetime
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from pathlib import Path
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from typing import List, Dict, Optional
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from loguru import logger
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class DatabaseManager:
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"""
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AlphaEar News Database Manager
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Reduced version for alphaear-news skill
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"""
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def __init__(self, db_path: str = "data/signal_flux.db"):
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self.db_path = Path(db_path)
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self.db_path.parent.mkdir(parents=True, exist_ok=True)
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self.conn = sqlite3.connect(str(self.db_path), check_same_thread=False)
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self.conn.row_factory = sqlite3.Row
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self._init_db()
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logger.debug(f"💾 Database initialized at {self.db_path}")
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def _init_db(self):
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"""Initialize news-related tables only"""
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cursor = self.conn.cursor()
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# Daily News Table
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS daily_news (
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id TEXT PRIMARY KEY,
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source TEXT,
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rank INTEGER,
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title TEXT,
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url TEXT,
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content TEXT,
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publish_time TEXT,
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crawl_time TEXT,
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sentiment_score REAL,
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analysis TEXT,
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meta_data TEXT
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)
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""")
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# Indexes
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cursor.execute("CREATE INDEX IF NOT EXISTS idx_news_crawl_time ON daily_news(crawl_time)")
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cursor.execute("CREATE INDEX IF NOT EXISTS idx_news_source ON daily_news(source)")
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self.conn.commit()
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# --- News Operations ---
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def save_daily_news(self, news_list: List[Dict]) -> int:
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"""Save hot news items"""
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cursor = self.conn.cursor()
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count = 0
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crawl_time = datetime.now().isoformat()
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for news in news_list:
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try:
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news_id = news.get('id') or f"{news.get('source')}_{news.get('rank')}_{crawl_time[:10]}"
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cursor.execute("""
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INSERT OR REPLACE INTO daily_news
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(id, source, rank, title, url, content, publish_time, crawl_time, sentiment_score, meta_data)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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""", (
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news_id,
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news.get('source'),
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news.get('rank'),
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news.get('title'),
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news.get('url'),
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news.get('content', ''),
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news.get('publish_time'),
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crawl_time,
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news.get('sentiment_score'),
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json.dumps(news.get('meta_data', {}))
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))
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count += 1
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except Exception as e:
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logger.error(f"Error saving news item {news.get('title')}: {e}")
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self.conn.commit()
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return count
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def get_daily_news(self, source: Optional[str] = None, limit: int = 100, days: int = 1) -> List[Dict]:
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"""Get recent news"""
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cursor = self.conn.cursor()
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time_threshold = (datetime.now().timestamp() - days * 86400)
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time_threshold_str = datetime.fromtimestamp(time_threshold).isoformat()
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query = "SELECT * FROM daily_news WHERE crawl_time >= ?"
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params = [time_threshold_str]
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if source:
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query += " AND source = ?"
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params.append(source)
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query += " ORDER BY crawl_time DESC, rank LIMIT ?"
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params.append(limit)
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cursor.execute(query, params)
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return [dict(row) for row in cursor.fetchall()]
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def delete_news(self, news_id: str) -> bool:
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cursor = self.conn.cursor()
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cursor.execute("DELETE FROM daily_news WHERE id = ?", (news_id,))
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self.conn.commit()
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return cursor.rowcount > 0
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def update_news_content(self, news_id: str, content: str = None, analysis: str = None) -> bool:
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cursor = self.conn.cursor()
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updates = []
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params = []
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if content is not None:
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updates.append("content = ?")
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params.append(content)
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if analysis is not None:
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updates.append("analysis = ?")
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params.append(analysis)
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if not updates:
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return False
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params.append(news_id)
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query = f"UPDATE daily_news SET {', '.join(updates)} WHERE id = ?"
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cursor.execute(query, params)
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self.conn.commit()
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return cursor.rowcount > 0
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def close(self):
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if self.conn:
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self.conn.close()
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