Merge branch 'main' into users/vgleason/refresh_panel

Author: hellovolcano

.gitignore

@@ -172,3 +172,6 @@ cython_debug/
 
 # PyPI configuration file
 .pypirc
+
+# VS Code settings
+.vscode/launch.json

CONTRIBUTING.md

@@ -54,6 +54,50 @@ poetry run sphinx-build docs docs/_build --builder html --fail-on-warning
 start docs\_build\index.html
 ```
 
+# Debugging on the streamlit side
+
+Debugging the measurement script can be done using standard Python debugging techniques. However, debugging the Streamlit script—or any code invoked by the Streamlit script—is more complex because it runs in a separate process launched by the PythonPanelServer. To debug the Streamlit script, you can use debugpy to attach the Visual Studio Code debugger as follows:
+
+## Instrument Streamlit script to debug
+
+To enable debugpy debugging, include this code in your streamlit script:
+
+```python
+import debugpy  # type: ignore
+
+try:
+    debugpy.listen(("localhost", 5678))
+    debugpy.wait_for_client() 
+except RuntimeError as e:
+    if "debugpy.listen() has already been called on this process" not in str(e):
+        raise
+```
+
+The `debugpy.listen()` function opens a port that allows the debugger to attach to the running process. You can specify any available port, as long as it matches the port configured in the launch.json file shown below. Since calling listen() more than once will raise an exception, it is wrapped in a try block to prevent the script from crashing if it is rerun.
+
+The `debugpy.wait_for_client()` function pauses script execution until the debugger is attached. This is helpful if you need to debug initialization code, but you can omit this line if it is not required.
+
+The `import debugpy` statement includes a type suppression comment to satisfy mypy.
+
+## Add debugpy configuration in launch.json 
+
+You will also need this configuration in your launch.json:
+
+```json
+        {
+            "name": "Attach to Streamlit at localhost:5678",
+            "type": "debugpy",
+            "request": "attach",
+            "connect": {
+                "host": "localhost",
+                "port": 5678
+            },
+            "justMyCode": false
+        }
+```
+
+After running your measurement script and allowing the PythonPanelServer to launch Streamlit with your Streamlit script, you can attach the debugger by clicking the **Attach to Streamlit at localhost:5678** button in the VS Code **Run and Debug** tab. Once attached, you can set breakpoints and use all standard debugging features in your Streamlit script, as well as in any nipanel code invoked by the Streamlit script.
+
 # Developer Certificate of Origin (DCO)
 
    Developer's Certificate of Origin 1.1

examples/sample/sample_panel.py

@@ -4,8 +4,7 @@
 
 import nipanel
 
-panel = nipanel.StreamlitPanelValueAccessor(panel_id="sample_panel")
-panel.refresh()
+panel = nipanel.initialize_panel()
 
 st.title("Sample Panel")
 

poetry.lock

@@ -14,6 +14,7 @@ ni-measurement-plugin-sdk = {version=">=2.3"}
 typing-extensions = ">=4.13.2"
 streamlit = ">=1.24"
 nitypes = {version=">=0.1.0dev1", allow-prereleases=true}
+debugpy = "^1.8.1"
 
 [tool.poetry.group.dev.dependencies]
 types-grpcio = ">=1.0"

pyproject.toml

@@ -2,9 +2,10 @@
 
 from nipanel._panel import Panel
 from nipanel._streamlit_panel import StreamlitPanel
+from nipanel._streamlit_panel_initializer import initialize_panel
 from nipanel._streamlit_panel_value_accessor import StreamlitPanelValueAccessor
 
-__all__ = ["Panel", "StreamlitPanel", "StreamlitPanelValueAccessor"]
+__all__ = ["Panel", "StreamlitPanel", "StreamlitPanelValueAccessor", "initialize_panel"]
 
 # Hide that it was defined in a helper file
 Panel.__module__ = __name__

src/nipanel/__init__.py

@@ -0,0 +1,37 @@
+from typing import cast
+
+import streamlit as st
+
+from nipanel._streamlit_panel_value_accessor import StreamlitPanelValueAccessor
+
+PANEL_ACCESSOR_KEY = "StreamlitPanelValueAccessor"
+
+
+def initialize_panel() -> StreamlitPanelValueAccessor:
+    """Initialize and return the Streamlit panel value accessor.
+
+    This function retrieves the Streamlit panel value accessor for the current Streamlit script.
+    It is typically used within a Streamlit script to access and manipulate panel values.
+    The accessor will be cached in the Streamlit session state to ensure that it is reused across
+    reruns of the script.
+
+    Returns:
+        A StreamlitPanelValueAccessor instance for the current panel.
+    """
+    if PANEL_ACCESSOR_KEY not in st.session_state:
+        st.session_state[PANEL_ACCESSOR_KEY] = _initialize_panel_from_base_path()
+
+    panel = cast(StreamlitPanelValueAccessor, st.session_state[PANEL_ACCESSOR_KEY])
+    # TODO: declare the refresh component here
+    return panel
+
+
+def _initialize_panel_from_base_path() -> StreamlitPanelValueAccessor:
+    """Validate and parse the Streamlit base URL path and return a StreamlitPanelValueAccessor."""
+    base_url_path = st.get_option("server.baseUrlPath")
+    if not base_url_path.startswith("/"):
+        raise ValueError("Invalid or missing Streamlit server.baseUrlPath option.")
+    panel_id = base_url_path.split("/")[-1]
+    if not panel_id:
+        raise ValueError(f"Panel ID is empty in baseUrlPath: '{base_url_path}'")
+    return StreamlitPanelValueAccessor(panel_id)