fixes #4 - adds modular analyses system using plugins

app/analysis/plotly_line_activity-user.py

@@ -0,0 +1,48 @@
+import pandas as pd
+import plotly.graph_objects as go
+from plotly.subplots import make_subplots
+from .basePlotlyAnalysis import BasePlotlyAnalysis
+from flask import current_app, url_for
+
+from app.logging_config import get_logger
+
+logger = get_logger()
+
+class PlotlyLineActivityAllUsers(BasePlotlyAnalysis):
+    name = "Activity Line Graph (All Users, Interactive)"
+    description = "This analysis shows the activity line graph for all users. The graph is interactive and can be used to explore the data."
+    plot_filename = "line_activity-all_users.html"
+    note = ""
+    
+    def transform_data(self, df: pd.DataFrame) -> pd.DataFrame:
+        """Transform data for the line plot"""
+        df['hour'] = df['timestamp'].dt.hour
+        df = df[df['was_active'] == True].pivot_table(index='name', columns='hour', values='was_active', aggfunc='sum', fill_value=0)
+        df['total_active_minutes'] = df.sum(axis=1)
+        df = df.sort_values(by='total_active_minutes', ascending=False).drop('total_active_minutes', axis=1)
+
+        cumulative_sum_row = df.cumsum().iloc[-1]
+        df.loc['Cumulative Sum'] = cumulative_sum_row
+
+        return df
+
+    def plot_data(self, df: pd.DataFrame):
+        # Create a Plotly figure
+        self.fig = make_subplots()
+
+        # Plot each user's activity
+        for index, row in df.iterrows():
+            if index == 'Cumulative Sum':
+                self.fig.add_trace(go.Scatter(x=row.index, y=row.values, mode='lines', name=index, line=dict(width=3, color='black')))  # Bold line for cumulative sum
+            else:
+                self.fig.add_trace(go.Scatter(x=row.index, y=row.values, mode='lines', name=index))
+
+        # Update layout
+        self.fig.update_layout(
+            title='User Activity Throughout the Day',
+            xaxis_title='Hour of Day',
+            yaxis_title='Activity Count',
+            legend_title='User',
+            legend=dict(x=1, y=1),
+            template='plotly_white'
+        )