From 9baf716fa606e13c2c1a0eb43686c22fc900a849 Mon Sep 17 00:00:00 2001
From: Pritimay Sarkar <pritimay@sminnovations.in>
Date: Wed, 6 Dec 2023 22:48:35 +0530
Subject: [PATCH] fix crash

---
 cloud-functions/python/functions/performance/main.py | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/cloud-functions/python/functions/performance/main.py b/cloud-functions/python/functions/performance/main.py
index a7dd67c..6af065e 100644
--- a/cloud-functions/python/functions/performance/main.py
+++ b/cloud-functions/python/functions/performance/main.py
@@ -89,6 +89,7 @@ def performance(request):
 
     denovix_reference_values = {
         "Tartrazine": {
+            "10": 0.187191676,
             "30": 0.187191676,
             "50": 0.187447015,
             "60": 0.187191676,
@@ -106,9 +107,13 @@ def performance(request):
             "250": 1.002224884,
             "275": 1.091996882,
             "300": 1.16558307,
+            "350": 1.16558307,
         },
         "KMnO4": {
+            "10": 0.187191676,
+            "100": 0.187191676,
             "145": 0.187191676,
+            "175": 0.187191676,
             "250": 0.077846397,
             "290": 0.359288533,
             "350": 0.111884606,
@@ -134,9 +139,9 @@ def performance(request):
     df_reference_device.index.name = 'Solution'
     df_reference_device.columns.name = 'Wavelength'
 
-    texts_to_check = ['Tar', 'KM']
+    texts_to_check = ['T', 'K']
     df['solution'] = df['name'].str.extract(f"({'|'.join(texts_to_check)})", flags=re.IGNORECASE)
-    df['solution'] = df['solution'].replace({'Tar': 'Tartrazine', 'KM': 'KMnO4'}, regex=True)
+    df['solution'] = df['solution'].replace({'T': 'Tartrazine', 'K': 'KMnO4'}, regex=True)
 
     def extract_numbers(s):
         match = re.match(r'\d+', s)
@@ -195,7 +200,6 @@ def performance(request):
         device_id = row.name[0]
         solution = row.name[1]
         concentration = str(int(row.name[2]))
-        reference_value = denovix_reference_values[solution][concentration]
         
         try:
             reference_value = denovix_reference_values[solution][concentration]
@@ -225,8 +229,6 @@ def performance(request):
     print('output_path', output_path)
     writer = pd.ExcelWriter(output_filename, engine = 'xlsxwriter')
     df_device_results.to_excel(writer, sheet_name="device_results")
-    # df_device_precicion_results.to_excel(writer, sheet_name="device_precision")
-    # df_device_accuracy_results.to_excel(writer, sheet_name="device_accuracy")
     df_precision_acc.to_excel(writer, sheet_name="concentration")
     df.to_excel(writer, sheet_name="in")
     df_reference_device.to_excel(writer, sheet_name="reference_device")