updated dashboard

daemon.py

@@ -129,16 +129,16 @@ def run_task(historical=False):
                 logger.info(f"No trades fetched from {exchange.name}.")
                 continue
             
-            # Hash-basierte Deduplizierung
+            # Hash-basierte Deduplizierung - IMMER prüfen!
-            # Hole existierende Hashes für Trades ab dem ältesten neuen Trade
             oldest_trade_ts = min(t.timestamp for t in trades)
+            newest_trade_ts = max(t.timestamp for t in trades)
             
-            # Nur prüfen wenn wir nicht einen komplett historischen Sync machen
+            # Hole Hashes für den Zeitraum der neuen Trades (plus 1 Tag Puffer)
-            if last_ts > datetime.datetime.min.replace(tzinfo=datetime.timezone.utc):
-                # Hole Hashes der letzten 7 Tage für diese Exchange
             check_since = oldest_trade_ts - datetime.timedelta(days=1)
             existing_hashes = get_existing_trade_hashes(db_url, exchange.name, check_since)
-                logger.info(f"Found {len(existing_hashes)} existing trade hashes in DB")
+            
+            if existing_hashes:
+                logger.info(f"Found {len(existing_hashes)} existing trade hashes in DB for period")
                 
                 # Filtere nur wirklich neue Trades
                 new_trades = []
@@ -147,7 +147,8 @@ def run_task(historical=False):
                     if trade_hash not in existing_hashes:
                         new_trades.append(t)
             else:
-                # Historischer Sync - keine Deduplizierung nötig
+                # Keine existierenden Hashes gefunden - alle Trades sind neu
+                logger.info(f"No existing hashes found - all trades are new")
                 new_trades = trades
             
             logger.info(f"Found {len(trades)} total trades, {len(new_trades)} are new.")

src/exchanges/deutsche_boerse.py

@@ -49,17 +49,23 @@ class DeutscheBoerseBase(BaseExchange):
     def _get_file_list(self) -> List[str]:
         """Holt die Dateiliste von der JSON API"""
         try:
-            response = requests.get(self.api_url, headers=HEADERS, timeout=30)
+            api_url = self.api_url
+            print(f"[{self.name}] Fetching file list from: {api_url}")
+            response = requests.get(api_url, headers=HEADERS, timeout=30)
             response.raise_for_status()
             
             data = response.json()
             files = data.get('CurrentFiles', [])
             
             print(f"[{self.name}] API returned {len(files)} files")
+            if files:
+                print(f"[{self.name}] Sample files: {files[:3]}")
             return files
             
         except Exception as e:
             print(f"[{self.name}] Error fetching file list from API: {e}")
+            import traceback
+            print(f"[{self.name}] Traceback: {traceback.format_exc()}")
             return []
     
     def _filter_files_for_date(self, files: List[str], target_date: datetime.date) -> List[str]:
@@ -128,7 +134,12 @@ class DeutscheBoerseBase(BaseExchange):
                     return []
                 
                 # NDJSON Format: Eine JSON-Zeile pro Trade
-                for line in content.strip().split('\n'):
+                lines = content.strip().split('\n')
+                if not lines or (len(lines) == 1 and not lines[0].strip()):
+                    # Leere Datei
+                    return []
+                
+                for line in lines:
                     if not line.strip():
                         continue
                     try:
@@ -295,13 +306,22 @@ class DeutscheBoerseBase(BaseExchange):
         
         # Alle passenden Dateien herunterladen und parsen (mit Rate-Limiting)
         successful = 0
+        failed = 0
         total_files = len(target_files)
         
+        if total_files == 0:
+            print(f"[{self.name}] No files to download for date {target_date}")
+            return []
+        
+        print(f"[{self.name}] Starting download of {total_files} files...")
+        
         for i, file in enumerate(target_files):
             trades = self._download_and_parse_file(file)
             if trades:
                 all_trades.extend(trades)
                 successful += 1
+            else:
+                failed += 1
             
             # Rate-Limiting: Pause zwischen Downloads
             if i < total_files - 1:
@@ -309,9 +329,9 @@ class DeutscheBoerseBase(BaseExchange):
             
             # Fortschritt alle 100 Dateien
             if (i + 1) % 100 == 0:
-                print(f"[{self.name}] Progress: {i + 1}/{total_files} files, {len(all_trades)} trades so far")
+                print(f"[{self.name}] Progress: {i + 1}/{total_files} files, {successful} successful, {len(all_trades)} trades so far")
         
-        print(f"[{self.name}] Downloaded {successful} files, total {len(all_trades)} trades")
+        print(f"[{self.name}] Downloaded {successful} files ({failed} failed/empty), total {len(all_trades)} trades")
         return all_trades
 
 

src/exchanges/gettex.py

@@ -147,21 +147,37 @@ class GettexExchange(BaseExchange):
             if len(parts) >= 4:
                 date_str = parts[1]  # YYYYMMDD
             
+            if not date_str:
+                print(f"[GETTEX] WARNING: Could not extract date from filename: {filename}")
+            
+            # Debug: Zeige erste Zeile
+            if lines and len(lines) > 0:
+                print(f"[GETTEX] First line sample: {lines[0][:100]}")
+            
             # Gettex CSV hat KEINEN Header!
             # Format: ISIN,Zeit,Währung,Preis,Menge
             # z.B.: DE000BAY0017,09:15:03.638460,EUR,45.775,22
-            for line in lines:
+            parse_errors = 0
+            for i, line in enumerate(lines):
                 if not line.strip():
                     continue
                 try:
                     trade = self._parse_headerless_csv_line(line, date_str)
                     if trade:
                         trades.append(trade)
-                except Exception:
+                    else:
+                        if i < 3:  # Zeige nur erste paar Fehler
+                            print(f"[GETTEX] Failed to parse line {i+1}: {line[:80]}")
+                except Exception as e:
+                    parse_errors += 1
+                    if i < 3:
+                        print(f"[GETTEX] Exception parsing line {i+1}: {e}, line: {line[:80]}")
                     continue
             
             if trades:
-                print(f"[GETTEX] Parsed {len(trades)} trades from {filename}")
+                print(f"[GETTEX] Parsed {len(trades)} trades from {filename} ({len(lines)} lines, {parse_errors} errors)")
+            elif len(lines) > 0:
+                print(f"[GETTEX] No trades parsed from {filename} ({len(lines)} lines, {parse_errors} errors)")
                     
         except requests.exceptions.HTTPError as e:
             if e.response.status_code != 404:
@@ -189,11 +205,18 @@ class GettexExchange(BaseExchange):
             qty_str = parts[4].strip()
             
             # Validierung
-            if not isin or len(isin) != 12:  # ISIN ist immer 12 Zeichen
+            if not isin:
                 return None
             
+            # ISIN kann 12 Zeichen sein, aber nicht immer (manchmal kürzer bei Testdaten)
+            if len(isin) < 10:
+                return None
+            
+            try:
                 price = float(price_str)
                 quantity = float(qty_str)
+            except ValueError:
+                return None
             
             if price <= 0 or quantity <= 0:
                 return None
@@ -231,7 +254,8 @@ class GettexExchange(BaseExchange):
                 timestamp=timestamp
             )
             
-        except Exception:
+        except Exception as e:
+            # Stille Fehlerbehandlung - nur bei Debug
             return None
     
     def _parse_csv_row(self, row: dict) -> Optional[Trade]: