Wire the Lottoland fallback into the automated update workflow

AutoUpdateAndLearn.update_data() called LottoAPIUpdater with
api_name='github', which skipped the already-implemented Lottoland ->
GitHub -> lottoAPI fallback chain entirely. The GitHub archive alone
has repeatedly lagged 1-6 days behind actual draws (most recently the
Aug 5 draw, still missing as of Aug 7), causing tips to be generated
and models to be retrained on stale data. Switching to api_name='all'
tries Lottoland first, which has consistently had same-day results in
testing, with GitHub still covering full history/fallback.

Also includes the Aug 5 draw pulled in via this fix and the resulting
model retrain (data update was previously interrupted by a truncated
pipe during manual testing, this completes it).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

data/AlleLottozahlen.csv

@@ -3147,3 +3147,4 @@ datum;Z1;Z2;Z3;Z4;Z5;Z6;SZ
 2026-07-25;18;21;31;36;42;44;3
 2026-07-29;3;16;22;43;48;49;8
 2026-08-01;19;20;22;25;31;42;8
+2026-08-05;15;23;24;36;44;49;0

data/learning_log.json

@@ -857,6 +857,19 @@
         "main": 0.1,
         "sz_rate": 0.0
       }
+    },
+    {
+      "timestamp": "2026-08-07T10:50:43.433684",
+      "draw_date": "2026-08-05",
+      "evaluation": {
+        "main": 1,
+        "sz": true,
+        "tip": 10
+      },
+      "avg_matches": {
+        "main": 0.6,
+        "sz_rate": 0.1
+      }
     }
   ]
 }

data/ultimate_ml_models/deep_learning/lstm_config_49.json

@@ -1,9 +1,9 @@
 {
-  "trained_at": "2026-08-04T17:19:36.241253",
-  "num_samples": 3128,
+  "trained_at": "2026-08-07T10:53:11.352902",
+  "num_samples": 3129,
   "num_features": 20,
-  "final_loss": 0.37382649620877034,
-  "final_val_loss": 0.3735962837934494,
-  "best_val_loss": 0.37336874306201934,
-  "epochs_trained": 26
+  "final_loss": 0.3726010733767401,
+  "final_val_loss": 0.37349517047405245,
+  "best_val_loss": 0.37338881492614745,
+  "epochs_trained": 30
 }