feat: add web dashboard and metadata enrichment daemon

dashboard/server.py

@@ -0,0 +1,78 @@
+from fastapi import FastAPI, HTTPException, Depends
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.staticfiles import StaticFiles
+from fastapi.responses import FileResponse
+import requests
+import os
+import pandas as pd
+
+app = FastAPI(title="Trading Dashboard API")
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+# Serve static files
+app.mount("/static", StaticFiles(directory="dashboard/public"), name="static")
+
+@app.get("/")
+async def read_index():
+    return FileResponse('dashboard/public/index.html')
+
+DB_USER = os.getenv("DB_USER", "admin")
+DB_PASSWORD = os.getenv("DB_PASSWORD", "quest")
+DB_AUTH = (DB_USER, DB_PASSWORD) if DB_USER and DB_PASSWORD else None
+DB_HOST = os.getenv("DB_HOST", "questdb")
+
+@app.get("/api/trades")
+async def get_trades(isin: str = None, days: int = 7):
+    query = f"select * from trades where timestamp > dateadd('d', -{days}, now())"
+    if isin:
+        query += f" and isin = '{isin}'"
+    query += " order by timestamp asc"
+    
+    try:
+        response = requests.get(f"http://{DB_HOST}:9000/exec", params={'query': query}, auth=DB_AUTH)
+        if response.status_code == 200:
+            return response.json()
+        throw_http_error(response)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+@app.get("/api/metadata")
+async def get_metadata():
+    query = "select * from metadata"
+    try:
+        response = requests.get(f"http://{DB_HOST}:9000/exec", params={'query': query}, auth=DB_AUTH)
+        if response.status_code == 200:
+            return response.json()
+        throw_http_error(response)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+@app.get("/api/summary")
+async def get_summary():
+    # Group by continent/country if metadata exists
+    query = """
+    select m.continent, m.country, count(*) as trade_count, sum(t.price * t.quantity) as total_volume
+    from trades t
+    join metadata m on t.isin = m.isin
+    group by m.continent, m.country
+    """
+    try:
+        response = requests.get(f"http://{DB_HOST}:9000/exec", params={'query': query}, auth=DB_AUTH)
+        if response.status_code == 200:
+            return response.json()
+        throw_http_error(response)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+def throw_http_error(res):
+    raise HTTPException(status_code=res.status_code, detail=f"QuestDB error: {res.text}")
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=8000)