open dashboard during main loop

README.md

@@ -36,25 +36,31 @@ Obtain your `client_id` and `client_secret` from Schwab, then save to `auth/clie
 }
 ```
 
-### 2. Fetch Data and Generate Chart
+### 2. Start the Main Loop and Dashboard
+
+Run the main loop, which will fetch data and automatically launch the Streamlit dashboard:
 
 ```bash
 python main.py
 ```
 
 This will:
 - Authenticate with Schwab (browser login on first run)
-- Fetch account positions and option prices
+- Fetch account positions and option prices on each iteration
 - Generate `data/gantt.png` showing position timelines
 - Cache data locally in `data/positions.json` and `data/tracking.json`
+- **Launch the Streamlit dashboard at `http://localhost:8501` after the first data fetch**
+- Refresh data every 60 seconds; dashboard reflects updates on page reload
+
+### Running the Dashboard Standalone
 
-### 3. View the Dashboard
+If you want to run the dashboard independently:
 
 ```bash
-streamlit run streamlit_app.py
+streamlit run dash.py
 ```
 
-Opens an interactive dashboard at `http://localhost:8501` showing the Gantt chart and values table.
+This reads cached data from the `data/` folder (generated by `main.py`).
 
 ## Testing
 

main.py

@@ -12,6 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import subprocess
+import sys
 import time
 
 import auth
@@ -25,6 +27,8 @@ def main() -> None:
     tokens = auth.get_or_create_tokens()
 
     iteration = 0
+    streamlit_process = None
+
     try:
         while True:
             # Check if token needs refreshing
@@ -44,10 +48,30 @@ def main() -> None:
             data.update_tracking()
             plot.make_gantt_chart()
 
+            # Launch Streamlit dashboard after first iteration
+            if iteration == 0:
+                print("Launching Streamlit dashboard (dash.py)...")
+                try:
+                    streamlit_process = subprocess.Popen(
+                        [sys.executable, "-m", "streamlit", "run", "dash.py", "--logger.level=warning"],
+                        stdout=subprocess.DEVNULL,
+                        stderr=subprocess.DEVNULL,
+                    )
+                    print("Dashboard running at http://localhost:8501")
+                except Exception as exc:
+                    print(f"Failed to launch Streamlit: {exc}")
+
             iteration += 1
             time.sleep(60)
     except KeyboardInterrupt:
-        print("Stopped by user.")
+        print("\nStopped by user.")
+        if streamlit_process:
+            print("Shutting down Streamlit dashboard...")
+            streamlit_process.terminate()
+            try:
+                streamlit_process.wait(timeout=5)
+            except subprocess.TimeoutExpired:
+                streamlit_process.kill()
 
 
 if __name__ == "__main__":