feat: Remove deprecated body fat percentage chart and integrate master chart for report generation

- Deleted the old body fat percentage chart image.
- Updated report generation to load the new body fat percentage master chart for improved accuracy and consistency.
- Refactored context generation to reference the new chart in the report structure.

app/services/context_generator.py

@@ -295,7 +295,9 @@ class ContextGenerator:
         # Calculate slope of VO2 Pulse
         vo2_pulse_slope = self.pnoe_df["VO2 Pulse_smoothed"].diff()
         window = max(1, len(self.pnoe_df) // 3)  # Ensure window is at least 1
-        vo2_pulse_slope_smoothed = vo2_pulse_slope.rolling(window=window, min_periods=1).mean()
+        vo2_pulse_slope_smoothed = vo2_pulse_slope.rolling(
+            window=window, min_periods=1
+        ).mean()
 
         # Find where VO2 Pulse begins to drop (slope becomes negative)
         mask_pulse = vo2_pulse_slope_smoothed <= 0
@@ -317,7 +319,10 @@ class ContextGenerator:
                             parts = zone_clean.split("-")
                             if len(parts) == 2:
                                 try:
-                                    start, end = int(parts[0]), int(parts[1].replace("+", ""))
+                                    start, end = (
+                                        int(parts[0]),
+                                        int(parts[1].replace("+", "")),
+                                    )
                                     if start <= vo2_pulse_drop_bpm <= end:
                                         vo2_pulse_drop_zone = f"Zone {i}"
                                         break
@@ -335,7 +340,9 @@ class ContextGenerator:
 
         # Calculate slope of VO2 Breath
         vo2_breath_slope = self.pnoe_df["VO2 Breath_smoothed"].diff()
-        vo2_breath_slope_smoothed = vo2_breath_slope.rolling(window=window, min_periods=1).mean()
+        vo2_breath_slope_smoothed = vo2_breath_slope.rolling(
+            window=window, min_periods=1
+        ).mean()
 
         # Find where VO2 Breath begins to drop
         mask_breath = vo2_breath_slope_smoothed <= 0
@@ -357,7 +364,10 @@ class ContextGenerator:
                             parts = zone_clean.split("-")
                             if len(parts) == 2:
                                 try:
-                                    start, end = int(parts[0]), int(parts[1].replace("+", ""))
+                                    start, end = (
+                                        int(parts[0]),
+                                        int(parts[1].replace("+", "")),
+                                    )
                                     if start <= vo2_breath_drop_bpm <= end:
                                         vo2_breath_drop_zone = f"Zone {i}"
                                         break
@@ -393,7 +403,10 @@ class ContextGenerator:
         # Find carbs and fat crossover point
         crossover_idx = None
         for idx in self.pnoe_df.index:
-            if self.pnoe_df.loc[idx, "CHO_smoothed"] > self.pnoe_df.loc[idx, "FAT_smoothed"]:
+            if (
+                self.pnoe_df.loc[idx, "CHO_smoothed"]
+                > self.pnoe_df.loc[idx, "FAT_smoothed"]
+            ):
                 crossover_idx = idx
                 break
 
@@ -402,11 +415,15 @@ class ContextGenerator:
         if crossover_idx is not None:
             crossover_row = self.pnoe_df.loc[crossover_idx]
             crossover_bpm = int(crossover_row["HR(bpm)_smoothed"])
-            crossover_heart_rate_pct = (crossover_bpm / max_hr * 100) if max_hr > 0 else 0
+            crossover_heart_rate_pct = (
+                (crossover_bpm / max_hr * 100) if max_hr > 0 else 0
+            )
 
         # Get speed and incline at fat max
         fat_max_speed = fat_max_row.get("Speed", 0)
-        fat_max_incline = fat_max_row.get("Incline", 2.0) if "Incline" in fat_max_row else 2.0
+        fat_max_incline = (
+            fat_max_row.get("Incline", 2.0) if "Incline" in fat_max_row else 2.0
+        )
 
         return {
             "fat_max_value": f"{fat_max_value:.2f}Kcals/min",
@@ -443,7 +460,9 @@ class ContextGenerator:
         one_min_row = recovery_df[recovery_df["T(sec)"] <= one_min_time]
         if len(one_min_row) > 0:
             one_min_hr = one_min_row.iloc[-1]["HR(bpm)_smoothed"]
-            cardiac_recovery_pct = ((peak_hr - one_min_hr) / peak_hr * 100) if peak_hr > 0 else 0
+            cardiac_recovery_pct = (
+                ((peak_hr - one_min_hr) / peak_hr * 100) if peak_hr > 0 else 0
+            )
         else:
             cardiac_recovery_pct = 33
 
@@ -453,7 +472,9 @@ class ContextGenerator:
         two_min_row = recovery_df[recovery_df["T(sec)"] <= two_min_time]
         if len(two_min_row) > 0:
             two_min_vco2 = two_min_row.iloc[-1]["VCO2(ml/min)_smoothed"]
-            metabolic_recovery_pct = ((peak_vco2 - two_min_vco2) / peak_vco2 * 100) if peak_vco2 > 0 else 0
+            metabolic_recovery_pct = (
+                ((peak_vco2 - two_min_vco2) / peak_vco2 * 100) if peak_vco2 > 0 else 0
+            )
         else:
             metabolic_recovery_pct = 65
 
@@ -463,7 +484,9 @@ class ContextGenerator:
         two_five_min_row = recovery_df[recovery_df["T(sec)"] <= two_five_min_time]
         if len(two_five_min_row) > 0:
             two_five_min_bf = two_five_min_row.iloc[-1]["BF(bpm)_smoothed"]
-            breath_recovery_pct = ((peak_bf - two_five_min_bf) / peak_bf * 100) if peak_bf > 0 else 0
+            breath_recovery_pct = (
+                ((peak_bf - two_five_min_bf) / peak_bf * 100) if peak_bf > 0 else 0
+            )
         else:
             breath_recovery_pct = 76
 
@@ -562,8 +585,8 @@ class ContextGenerator:
         if "RER" in self.pnoe_df.columns and "FAT(%)" in self.pnoe_df.columns:
             # Find rest phase with RER closest to 0.9
             rest_phase = (
-                self.pnoe_df[self.pnoe_df["MET"] <= 1.1].copy()
-                if "MET" in self.pnoe_df.columns
+                self.pnoe_df[self.pnoe_df["RER"] == 0.9].copy()
+                if "RER" in self.pnoe_df.columns
                 else self.pnoe_df.copy()
             )
             if not rest_phase.empty:
@@ -736,11 +759,13 @@ class ContextGenerator:
                 "page_number": i + 12,
             }
 
-        # Page 18 - Glossary with Body Fat Percentage Chart
+        # Page 18 - Glossary with Body Fat Percentage Master Chart
         contexts["page_18"] = {
             "patient_name": self.patient_info["name"],
             "page_number": 18,
-            "body_fat_percentage_chart": graphs.get("body_fat_percent", ""),
+            "body_fat_percentage_chart": graphs.get(
+                "body_fat_percentage_master_chart", ""
+            ),
         }
 
         # Page 19

app/services/report_generator.py

@@ -404,6 +404,23 @@ class ReportGeneratorService:
             print(f"Warning: Could not generate body fat percent chart: {e}")
             graphs_dict["body_fat_percent"] = ""
 
+        # Load static body fat percentage master chart for page 18
+        master_chart_path = Path("app/body_fat_percentage_master_chart.png")
+        if master_chart_path.exists():
+            try:
+                with open(master_chart_path, "rb") as f:
+                    graphs_dict["body_fat_percentage_master_chart"] = base64.b64encode(
+                        f.read()
+                    ).decode("utf-8")
+            except Exception as e:
+                print(f"Warning: Could not load body fat percentage master chart: {e}")
+                graphs_dict["body_fat_percentage_master_chart"] = ""
+        else:
+            print(
+                f"Warning: Body fat percentage master chart not found at {master_chart_path}"
+            )
+            graphs_dict["body_fat_percentage_master_chart"] = ""
+
         # Generate spirometry chart
         print("Step 4: Generating spirometry chart...")
         try:
@@ -419,6 +436,7 @@ class ReportGeneratorService:
             print("Spirometry chart generated successfully")
         except Exception as e:
             import traceback
+
             error_details = traceback.format_exc()
             print(f"Warning: Could not generate spirometry chart: {e}")
             print(f"Error details: {error_details}")