plugin updates

examples/ag-grid/hello_world.py

@@ -0,0 +1,24 @@
+from dash import Dash, html
+import dash_ag_grid as dag
+import pandas as pd
+
+df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/wind_dataset.csv")
+
+app = Dash(__name__)
+
+columnDefs = [
+    { 'field': 'direction' },
+    { 'field': 'strength' },
+    { 'field': 'frequency'},
+]
+
+grid = dag.AgGrid(
+    id="get-started-example-basic",
+    rowData=df.to_dict("records"),
+    columnDefs=columnDefs,
+)
+
+app.layout = html.Div([grid])
+
+if __name__ == "__main__":
+    app.run(debug=True)

examples/plugins/pages/my_plugin_page.py

@@ -5,7 +5,9 @@
 import dash_bootstrap_components as dbc
 import logging
 import plotly.graph_objs as go
-from dash_bootstrap_templates import load_figure_template
+
+# SageWorks Imports
+from sageworks.utils.plugin_manager import PluginManager
 
 
 class MyPluginPage:
@@ -18,8 +20,9 @@ def __init__(self):
         self.graph_1 = None
         self.graph_2 = None
 
-        # Put the components into 'dark' mode (this doesn't seems to work for some reason)
-        load_figure_template("darkly")
+        # Get our view from the PluginManager
+        pm = PluginManager()
+        self.my_view = pm.get_view("MyViewPlugin")
 
     def page_setup(self, app: dash.Dash):
         """Required function to set up the page"""

examples/plugins/views/my_view_plugin.py

@@ -0,0 +1,48 @@
+"""MyViewPlugin is a tailored view of the Model Summary data + Details"""
+
+import pandas as pd
+
+# SageWorks Imports
+from sageworks.views.view import View
+from sageworks.api import Meta
+
+
+class MyViewPlugin(View):
+    def __init__(self):
+        """MyViewPlugin pulls Model metadata"""
+
+        # Call SuperClass Initialization
+        super().__init__()
+
+        # We're using the SageWorks Meta class to get information about models
+        self.meta = Meta()
+
+    def refresh(self):
+        """Refresh our data (for this example, we don't need to)"""
+        pass
+
+    def view_data(self) -> pd.DataFrame:
+        """Get all the data that's useful for this view
+
+        Returns:
+            pd.DataFrame: DataFrame of the Models Data
+        """
+        models = self.meta.models()
+        models["uuid"] = models["Model Group"]  # uuid is needed for identifying the model
+        return models
+
+
+if __name__ == "__main__":
+    # Exercising the MyViewPlugin
+    import pandas as pd
+
+    pd.options.display.max_columns = None
+    pd.options.display.width = 1000
+
+    # Create the class and get the AWS Model details
+    model_view = MyViewPlugin()
+
+    # List the Models
+    print("ModelsSummary:")
+    summary = model_view.view_data()
+    print(summary.head())

examples/plugins/web_components/model_plugin.py

@@ -29,7 +29,7 @@ def create_component(self, component_id: str) -> dcc.Graph:
     def update_contents(self, model: Model) -> go.Figure:
         """Create a Figure for the plugin.
         Args:
-            model (Model): An instantiated Endpoint object
+            model (Model): An instantiated Model object
         Returns:
             go.Figure: A Plotly Figure object
         """
@@ -47,7 +47,7 @@ def update_contents(self, model: Model) -> go.Figure:
 
 
 if __name__ == "__main__":
-    # This class takes in model details and generates a EndpointTurbo
+    # This class takes in model details and generates a pie chart
     from sageworks.api.model import Model
 
     # Instantiate an Endpoint