Dyn Col:index. New Errors. Dynamic Col:Names. Remove Old Generated. Dynamic new column position

llogarit_moshen.py

@@ -1,3 +1,5 @@
+import os
+from posixpath import dirname
 import pandas as pd
 from datetime import datetime
 import calendar
@@ -12,15 +14,15 @@ class Klinika(Enum):
     URGJENCA = 'urgjenca'
 
 
-klinika = Klinika.KIRURGJI.value
+klinika = Klinika.OBS.value
 
 xlsx_path = './Excel/'
-excel_path = join(xlsx_path, "raw_{klinika}_2016-2019.xlsx")
+excel_path = join(xlsx_path, f"raw_{klinika}_2016-2019.xlsx")
 
 df = pd.read_excel(excel_path, sheet_name='Sheet1')
 df = df.reset_index()
-df['MOSHA'] = [None] * 2384
-df['ERROR'] = [None] * 2384
+df['MOSHA'] = [None] * df.index.stop
+df['ERROR'] = [None] * df.index.stop
 i = 0
 datat_pattern = "%d/%m/%y"
 data_shtri_korigj = []
@@ -49,6 +51,9 @@ def konverto_data(datat: str, i: int):
             datat = int(datat) / 12
             df.iat[i, df.columns.get_loc('MOSHA')] = float(datat)
             return "DEKLARUAR"
+        if datat.endswith('/'):
+            datat = datat[:-1]
+            print(datat)
         datat = datat.split('/')
         if len(datat) == 1:
             datat.insert(0, '1')
@@ -92,7 +97,10 @@ def pastro_string(datat: str, i: int):
 
 
 for index, row in df.iterrows():
-    data_shtri = row['DATA E SHTRIMIT']
+    try:
+        data_shtri = row['DATA E SHTRIMIT']
+    except KeyError as e:
+        data_shtri = row['DATA']
     datelindja = row['DATELINDJA']
     emer = row['EMER']
     data_shtri = pastro_string(data_shtri, i)
@@ -111,12 +119,19 @@ for index, row in df.iterrows():
     datelindja_korigj.append(datelindja)
     i += 1
 
-df.insert(16, "DT_SHTRIMI_KORIGJ", data_shtri_korigj)
-df.insert(17, "DATELINDJA_KORIGJ", datelindja_korigj)
+df.insert(len(df.columns), "DT_SHTRIMI_KORIGJ", data_shtri_korigj)
+df.insert(len(df.columns), "DATELINDJA_KORIGJ", datelindja_korigj)
+
 df.drop(columns=df.columns[0], axis=1, inplace=True)
 
 current_GMT = time.gmtime()
 ts = calendar.timegm(current_GMT)
 
-excel_path = join(xlsx_path, "{klinika}_{ts}.xlsx")
+for dirpath, dirname, filename in os.walk(xlsx_path):
+    for name in filename:
+        if name.startswith(klinika):
+            file_per_tu_fshire = join(xlsx_path, name)
+            os.remove(file_per_tu_fshire)
+
+excel_path = join(xlsx_path, f"{klinika}_{ts}.xlsx")
 df.to_excel(excel_path, index=False)