fix: date parsing, continent grouping, dynamic analytics, and sector scraping

dashboard/server.py

@@ -55,12 +55,15 @@ async def get_metadata():
 
 @app.get("/api/summary")
 async def get_summary():
-    # Group by continent/country if metadata exists
+    # Coalesce null values to 'Unknown' and group properly
     query = """
-    select m.continent, m.country, count(*) as trade_count, sum(t.price * t.quantity) as total_volume
+    select 
+        coalesce(m.continent, 'Unknown') as continent, 
+        count(*) as trade_count, 
+        sum(t.price * t.quantity) as total_volume
     from trades t
     left join metadata m on t.isin = m.isin
-    group by m.continent, m.country
+    group by continent
     """
     try:
         response = requests.get(f"http://{DB_HOST}:9000/exec", params={'query': query}, auth=DB_AUTH)
@@ -73,8 +76,14 @@ async def get_summary():
 @app.get("/api/comparison")
 async def get_comparison(days: int = 7):
     # Aggregated volume per exchange per day
+    # QuestDB date_trunc('day', timestamp) is good. 
+    # We ensure we get exchange, day, and metrics.
     query = f"""
-    select exchange, date_trunc('day', timestamp) as day, sum(price * quantity) as daily_volume, count(*) as trade_count
+    select 
+        exchange, 
+        date_trunc('day', timestamp) as day, 
+        sum(price * quantity) as daily_volume, 
+        count(*) as trade_count
     from trades 
     where timestamp > dateadd('d', -{days}, now())
     group by exchange, day