feat: Enhance context generation and report generation services with improved data handling and structure

app/services/report_generator.py

@@ -11,10 +11,9 @@ from typing import Any, Dict, List
 import pandas as pd
 from jinja2 import Environment, FileSystemLoader
 from playwright.sync_api import sync_playwright
-
-from app.services.context_generator import ContextGenerator
-from app.services.graph_generator import GraphGenerator
-from app.services.spirometry_table_extractor import extract_spirometry_table_from_pdf
+from services.context_generator import ContextGenerator
+from services.graph_generator import GraphGenerator
+from services.spirometry_table_extractor import extract_spirometry_table_from_pdf
 
 
 class ReportGeneratorService:
@@ -61,7 +60,13 @@ class ReportGeneratorService:
         """
         # Load data
         df = pd.read_csv(pnoe_csv_path, delimiter=";")
-        df = df.apply(pd.to_numeric, errors="ignore")
+
+        # Convert numeric columns (updated approach)
+        for col in df.columns:
+            try:
+                df[col] = pd.to_numeric(df[col])
+            except (ValueError, TypeError):
+                pass  # Keep as-is if not numeric
 
         # Calculate derived columns
         df["VO2 Pulse"] = df["VO2(ml/min)"] / df["HR(bpm)"]
@@ -395,6 +400,7 @@ class ReportGeneratorService:
             )
 
         report_path = self.reports_dir / output_filename
+        print(f"Generating PDF report at {report_path}")
         self.html_to_pdf(html_content, str(report_path))
 
         return {