Update utils/_init_.py

utils/_init_.py

@@ -0,0 +1,15 @@
+import pandas as pd
+from datetime import timedelta
+
+def predict_timeline(df):
+    # Dummy logic for testing
+    df['Start'] = pd.Timestamp.now()
+    df['Finish'] = df['Start'] + pd.to_timedelta(7, unit='D')
+    df['Task'] = df.iloc[:, 0]  # Assume first column is task name
+    df['Risk'] = ['Low'] * len(df)
+    
+    summary = "Timeline generated for {} tasks.".format(len(df))
+    risks = [{"text": task, "start": 0, "end": len(task), "entity": risk}
+             for task, risk in zip(df['Task'], df['Risk'])]
+
+    return df[['Task', 'Start', 'Finish', 'Risk']], risks, summary