Refactored and redesigned dashboards.

rstat_tool/database.py

@@ -311,6 +311,49 @@ def get_overall_image_view_summary():
     conn.close()
     return results
 
+def get_overall_daily_summary():
+    """
+    Gets the top tickers across all subreddits from the LAST 24 HOURS.
+    (This is a copy of get_overall_summary, renamed for clarity).
+    """
+    conn = get_db_connection()
+    one_day_ago = datetime.now(timezone.utc) - timedelta(days=1)
+    one_day_ago_timestamp = int(one_day_ago.timestamp())
+    query = """
+        SELECT t.symbol, t.market_cap, t.closing_price, COUNT(m.id) as total_mentions,
+            SUM(CASE WHEN m.mention_sentiment > 0.1 THEN 1 ELSE 0 END) as bullish_mentions,
+            SUM(CASE WHEN m.mention_sentiment < -0.1 THEN 1 ELSE 0 END) as bearish_mentions
+        FROM mentions m JOIN tickers t ON m.ticker_id = t.id
+        WHERE m.mention_timestamp >= ?
+        GROUP BY t.symbol, t.market_cap, t.closing_price
+        ORDER BY total_mentions DESC LIMIT 10;
+    """
+    results = conn.execute(query, (one_day_ago_timestamp,)).fetchall()
+    conn.close()
+    return results
+
+def get_overall_weekly_summary():
+    """
+    Gets the top tickers across all subreddits for the LAST 7 DAYS.
+    """
+    conn = get_db_connection()
+    today = datetime.now(timezone.utc)
+    start_of_week, end_of_week = get_week_start_end(today - timedelta(days=7)) # Get last week's boundaries
+    start_timestamp = int(start_of_week.timestamp())
+    end_timestamp = int(end_of_week.timestamp())
+    query = """
+        SELECT t.symbol, t.market_cap, t.closing_price, COUNT(m.id) as total_mentions,
+            SUM(CASE WHEN m.mention_sentiment > 0.1 THEN 1 ELSE 0 END) as bullish_mentions,
+            SUM(CASE WHEN m.mention_sentiment < -0.1 THEN 1 ELSE 0 END) as bearish_mentions
+        FROM mentions m JOIN tickers t ON m.ticker_id = t.id
+        WHERE m.mention_timestamp BETWEEN ? AND ?
+        GROUP BY t.symbol, t.market_cap, t.closing_price
+        ORDER BY total_mentions DESC LIMIT 10;
+    """
+    results = conn.execute(query, (start_timestamp, end_timestamp)).fetchall()
+    conn.close()
+    return results, start_of_week, end_of_week
+
 def get_deep_dive_details(ticker_symbol):
     """ Gets all analyzed posts that mention a specific ticker. """
     conn = get_db_connection()