step3.py updated

main.py

@@ -41,10 +41,10 @@ if __name__ == "__main__":
     log_file_path = 'log.txt'
     if os.path.exists(log_file_path):
         open(log_file_path, 'w').close()
-    # sys.stdout = Logger.Logger(log_file_path)
+    sys.stdout = Logger.Logger(log_file_path)
 
     print("Schul-IT UCS-Import Tool:\n")
-    dev = True
+    dev = True  # CHANGE FOR PRODUCTION RUN <------
 
     # ----------------------------------------------------------------- #
     # Step 1 - Dateien wählen, formatieren, einlesen | Variablen setzen #
@@ -92,16 +92,19 @@ if __name__ == "__main__":
 
     # 2.1 Data Frames für Abgleich erstellen
     print(" Lehrer:innen:")
-    lul_matched, new_lul = step2.compare_data(lul_new, lul_sys, False)
+    lul_matched, new_lul = step2.compare_data(lul_new, lul_sys)
     print("\n Schüler:innen:")
-    sus_matched, new_sus = step2.compare_data(sus_new, sus_sys, True)
+    sus_matched, new_sus = step2.compare_data(sus_new, sus_sys,)
+    print("Step2 completed! \n")
+
+    sys.stdout = sys.__stdout__
 
     # ----------------------------------------------------------------------------------------#
     # Step 3 - Import Data generieren - klasse, uuids, weiteres in einer Liste zusammenführen #
 
     # Lul: Namen + UUIDs + Testuser
-    lul_import = step3.add_school_data(lul_sys, school_id, ox_context, mail_quota_lul, ox_quota_lul)
+    lul_import = step3.merch_uuids(new_lul, lul_matched, dev)
+    # lul_import = step3.add_school_data(lul_import, school_id, ox_context, mail_quota_lul, ox_quota_lul)
+    print(lul_import[['name', 'klasse', 'schuelerid']])
     # SuS: Namen + UUIDs + Klassen + Testuser
     # sus_import = step3.add_school_data(sus_sys, school_id, ox_context, mail_quota_sus, ox_quota_sus)
-
-    sys.stdout = sys.__stdout__

src/step2.py

@@ -2,10 +2,12 @@ import pandas as pd
 from Levenshtein import distance
 
 
-def compare_data(new, sys, bool_class):
+def compare_data(new, sys):
     print(f"\nEinträge in Import Liste: {len(new)}")
     print(f"Einträge in System Liste: {len(sys)}")
 
+    bool_class = 'klasse' in new.columns
+
     if bool_class:
         if 'index' in new.columns:
             new = new.drop('index', axis=1)
@@ -35,9 +37,10 @@ def search_typos(new, sys):
     for idx1, row1 in new.iterrows():
         for idx2, row2 in sys.iterrows():
             if distance(row1[col1], row2[col1]) <= 2 and distance(row1[col2], row2[col2]) <= 2:
-                typos.append((row1[col1], row1[col2], row2[col1], row2[col2]))
+                typos.append(([row1[col1], row1[col2]], [row2[col1], row2[col2]]))
-    if len(typos) > 0:
+    typo_df = pd.DataFrame(typos, columns=['Import', 'System'])
-        print('Mögliche Tippfehler:', len(typos), '\n', typos)
+    if len(typo_df) > 0:
+        print('Mögliche Tippfehler:', len(typo_df), '\n', typo_df)
     else:
         print('Mögliche Tippfehler: keine Fehler gefunden!')
 

src/step3.py

@@ -1,15 +1,25 @@
 import uuid
+import pandas as pd
 
 
 def create_uuid():
     return str(uuid.uuid4())
 
 
-def merch_uuids(new, sys):
+def merch_uuids(new, sys, dev):
-    return 0
+    print(sys[['name', 'klasse', 'schuelerid']])
+    print(new[['name', 'klasse', 'schuelerid']])
+    if dev:
+        new_uuids = ["test" for _ in range(len(new))]
+    else:
+        new_uuids = [create_uuid() for _ in range(len(new))]
+    new['schuelerid'] = new_uuids
+
+    return pd.concat([sys, new], ignore_index=True)
 
 
 def add_school_data(df, school_id, ox_context, mail_quota, ox_quota):
+    # print(df.head())
     df['mailUserQuota'] = mail_quota
     df['oxUserQuota'] = ox_quota
     df['oxContext'] = ox_context