Update Doors_Schedule.py

Doors_Schedule.py

@@ -276,13 +276,24 @@ def get_selected_columns(dfs, user_patterns):
     kelma = None
   return kelma'''
 
-def get_st_op_pattern(clmn_name):
+'''def get_st_op_pattern(clmn_name):
     target = 'structural opening'
     for name in clmn_name:
         if target in name.lower():
             return name
+    return None'''
+
+
+# 3ayz akhaleehaa te search fel selected_columns column names nafsaha
+# 7ab2a 3ayz a3raf bardo maktooba ezay fel df el 7a2e2ya (akeed za ma el user medakhalha bezabt)
+def get_st_op_pattern(selected_columns, user_input):
+    target = 'structural opening'
+    if target in selected_columns.columns:
+      name = user_input[2]
+      return name
     return None
 
+
 '''def get_similar_colors(selected_columns_new):
   def generate_rgb():
       return (random.randint(0, 255), random.randint(0, 255), random.randint(0, 255))  # RGB tuple
@@ -420,13 +431,26 @@ def get_cleaned_data(locations):
   
   return new_data
 
+'''def get_width_info_tobeprinted(new_data):
+  width_info_tobeprinted = []
+  if len(new_data[0]) == 4:
+    for _,_,_, w in new_data:
+      width_info_tobeprinted.append(w)
+  if len(new_data[0]) == 5:
+    for _,_,_, w,h in new_data:
+      width_info_tobeprinted.append(f"{w} mm wide x {h} mm high")
+  return width_info_tobeprinted'''
+
 def get_width_info_tobeprinted(new_data):
   width_info_tobeprinted = []
   if len(new_data[0]) == 4:
     for _,_,_, w in new_data:
+      w = int(float(w))
       width_info_tobeprinted.append(w)
   if len(new_data[0]) == 5:
     for _,_,_, w,h in new_data:
+      w = int(float(w))
+      h = int(float(h))
       width_info_tobeprinted.append(f"{w} mm wide x {h} mm high")
   return width_info_tobeprinted
 
@@ -579,7 +603,8 @@ def mainRun(schedule, plan, searcharray):
   #clm_idx = selected_columns[0][2]
   #clmn_name = selected_columns[0][3]
   #starting_row_index = selected_columns[0][4]
-  kelma = get_st_op_pattern(user_input)
+  #kelma = get_st_op_pattern(user_input)
+  kelma = get_st_op_pattern(selected_columns_new, user_input)
   col_dict = get_similar_colors(selected_columns_new)
   flattened_list = get_flattened_tuples_list(col_dict)
   plan_texts = read_text(plan)