table adjusted

src/Run.py

@@ -128,6 +128,8 @@ def add_nutrition():
         conn.commit()
     
         return redirect(url_for('nutrition'))
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
     finally:
         if conn:
             conn.close()
@@ -146,13 +148,14 @@ def get_token():
 
 
 @app.route('/get_database_entries')
+@oidc.require_login
 def get_database_entries():
     try:
         # Ersetzen Sie diese Werte mit Ihren Datenbank-Verbindungsinformationen
         conn = psycopg2.connect()
         cursor = conn.cursor()
         with conn.cursor() as cursor:
-            cursor.execute("SELECT name, kcal, ew, fett, kh, bst, ca FROM nutrition_table")
+            cursor.execute("SELECT name, kcal, ew, fett, kh, bst, ca FROM nutrition_table ORDER BY name")
             entries = cursor.fetchall()
 
         # Umwandeln der Daten in ein JSON-freundliches Format

src/db.py

@@ -13,13 +13,16 @@ cursor = conn.cursor()
 # Erstellen der Tabelle (falls noch nicht vorhanden)
 cursor.execute('''
     CREATE TABLE IF NOT EXISTS nutrition_table (
-        name TEXT,
+        id serial not null,
+        name TEXT not null,
         kcal REAL,
         EW REAL,
         Fett REAL,
         KH REAL,
         BST REAL,
-        Ca REAL
+        Ca REAL,
+        constraint nutrition_table_pk primary key (id),
+        constraint nutrition_table_name_uk unique (name)
     )
 ''')
 

src/nu.csv

@@ -6,7 +6,6 @@ Hühnerei,137,11.9,9.3,1.5,0.0,51
 Pflanzenmargarine,722,0.2,80.0,0.4,0.0,8
 Sahne 30%,309,2.4,31.7,3.4,0.0,80
 Maisstärke,353,0.4,0.1,85.9,1.0,0
-Paniermehl,368,10.1,2.1,73.5,5.3,50
 Weizengrieß,335,9.6,0.8,69.0,7.1,17
 Mehl405,343,9.8,1.0,71.8,4.0,15
 Rapsöl,884,0,100.0,0,0,0
@@ -43,13 +42,11 @@ Knoblauch,145,6.1,0.1,28.4,1.8,38
 Senf,88,6.0,4.0,6.0,1.0,124
 Blattspinat roh,21,2.7,0.3,0.6,2.6,117
 Buttermilch,37,3.5,0.5,4.0,0.0,109
-Himbeere,37,1.3,0.3,4.8,4.7,40
 Salz dill gurken,9,0.4,0.1,1.3,0.5,18
 Schmand 20%,205,2.8,20.0,3.6,0.0,100
 Aspikpulver,338,84.2,0.1,0.0,0.0,11
 Lachs atlantischer,210,20.4,13.4,0.3,0.0,4
 Pinienkerne,589,24.0,50.7,7.3,7.2,26
-Zwieback,385,9.9,4.3,73.1,5.2,42
 Speisequark,72,13.5,0.3,3.2,0.0,92
 Basilikum,47,3.1,0.8,5.1,3.1,369
 Mayonaise 50%,490,0.5,52.0,5.0,0.0,10
@@ -83,7 +80,6 @@ Naturreis,349,7.2,2.2,74.1,2.2,16
 Mehl Type 405,343,9.8,1.0,71.8,4.0,15
 Mehl Type 550,346,9.8,1.1,72.0,4.3,17
 Milchreis,316,6.4,0.8,80.2,1.1,6
-Kartoffelstärke,341,0.6,0.1,83.1,0.1,35
 Hmilch fettarm 1.5%,47,3.4,1.5,4.9,0.0,123
 Edamer 30%,254,26.4,16.2,0,0.0,800
 Gouda alt 48%,414,24.6,33.7,0.1,0.0,871
@@ -98,7 +94,6 @@ Butterkeks,441,8.2,11.0,74.7,3.3,47
 Zwieback,385,9.9,4.3,73.1,5.2,42
 Schokolade 75% Kakaomasse,598,7.8,42.6,35.0,10.9,73
 Paniermehl,368,10.1,0.1,73.5,5.3,50
-Senf,88,6.0,4.0,6.0,1.0,124
 Schinken geräuchert,152,20.7,7.7,0.0,0.0,2
 Rinderkeule,148,20.0,7.6,0.0,0.0,6
 Kirsche süß,62,0.9,0.3,13.3,1.3,17
@@ -107,7 +102,6 @@ Eisbergsalat,16,1.0,0.2,2.0,1.1,19
 Endivie,18,1.8,0.2,1.2,1.9,54
 Feldsalat,18,1.8,0.4,0.8,1.5,32
 Gurke,14,0.6,0.2,1.8,0.9,15
-Kopfsalat,14,1.2,0.2,1.1,1.4,20
 Schalotte,25,1.5,0.2,3.3,1.5,37
 Gemüsebrühe verz,7,1.6,0,0,0,12
 Fleischbrühe,4,0.2,0,1,0,5
@@ -122,8 +116,7 @@ Paprika rot,43,1.3,0.5,6.4,3.6,10
 Knollensellerie,27,1.6,0.3,2.3,4.2,50
 Erdbeeren tiefgefroren,38,0.9,0.4,5.8,2.1,24
 Himbeeren tiefgefroren,45,1.4,0.3,5.0,4.8,42
-Dill,65,3.7,0.8,8.0,5.3,230
 Kerbel,58,4.1,0.6,6.2,5.3,400
 Majoran,52,2.1,1.1,6.9,2.9,322
 Oregano,72,2.2,2.0,9.7,2.5,310
-Thymian,52,1.5,1.2,7.4,3.0,307
+Thymian,52,1.5,1.2,7.4,3.0,307