Update run_agentic_pipeline.py

run_agentic_pipeline.py

@@ -8,6 +8,7 @@ import pandas as pd
 from typing import Dict, Any, Optional
 import gradio as gr
 
+
 # Assuming this script is at the same level as 'app.py' and 'insight_and_tasks/' is a subfolder
 # If 'insight_and_tasks' is not in python path, you might need to adjust sys.path
 # For example, if insight_and_tasks is a sibling of the dir containing this file:
@@ -43,6 +44,7 @@ except ImportError as e:
     def extract_key_results_for_selection(okrs_dict): return [] # Placeholder
     def format_single_okr_for_display(okr_data, **kwargs): return "Agentic modules not loaded. OKR display unavailable." # Placeholder
 
+from services.report_data_handler import save_report_results
 
 logger = logging.getLogger(__name__)
 
@@ -198,6 +200,12 @@ async def run_agentic_pipeline_autonomously(current_token_state_val, orchestrati
             report_str = orchestration_output.get('comprehensive_analysis_report', "Nessun report dettagliato fornito.")
             agentic_report_md_update = gr.update(value=format_report_to_markdown(report_str))
 
+            quarter = orchestration_output.get('quarter', "quarter non disponibile")
+            year = orchestration_output.get('year', "year non disponibile")
+            org_urn = current_token_state_val.get('org_urn')
+
+            save_report_results(org_urn=org_urn, report_markdown=report_str, quarter=quarter, year=year, type='Quarter')
+
             actionable_okrs = orchestration_output.get('actionable_okrs_and_tasks') # This is the dict containing 'okrs' list
             krs_for_ui_selection_list = extract_key_results_for_selection(actionable_okrs) # Expects the dict