458 changed files with 406580 additions and 127177 deletions
--- a/.gitignore
+++ b/.gitignore
@ -13,11 +13,9 @@ target/
 .metadata/
 .project
 .classpath
-.env

 # ignore docker deployments
 docker/deployments/
-docker/keys/imixs-llm.xml

 # Sepa Report
 reports/sepa/result_sepa*
--- a/12
+++ b/12
@ -1,7 +1,11 @@
-FROM imixs/imixs-office-workflow:5.1.5-wildfly-29.0.1.Final-jdk17
+FROM imixs/imixs-office-workflow:5.1.1-wildfly-27.0.1.Final-jdk17
+#FROM imixs/imixs-office-workflow:5.1.0
+
+# Setup debug configuration
+# COPY ./docker/configuration/standalone-debug.xml /opt/jboss/wildfly/standalone/configuration/
+
+COPY ./docker/lucene-core-7.7.3.jar /opt/jboss/

 # Deploy artefact
 RUN rm -r /opt/jboss/wildfly/standalone/deployments/*
-# Deploy artefact
-COPY ./target/*.war /opt/jboss/wildfly/standalone/deployments/
-
+COPY ./*-app/target/*.war /opt/jboss/wildfly/standalone/deployments/
--- a/6
+++ b/6
@ -1,8 +1,10 @@
-FROM imixs/imixs-office-workflow:5.1.5-wildfly-29.0.1.Final-jdk17
+FROM imixs/imixs-office-workflow:5.1.1-wildfly-27.0.1.Final-jdk17
+#FROM imixs/imixs-office-workflow:5.1.0

 # Deploy artefact
 RUN rm -r /opt/jboss/wildfly/standalone/deployments/*
-COPY ./target/*.war /opt/jboss/wildfly/standalone/deployments/
+COPY ./*-app/target/*.war /opt/jboss/wildfly/standalone/deployments/

 # Run in Debug Mode
 CMD ["/opt/jboss/wildfly/bin/standalone.sh", "-b", "0.0.0.0", "-bmanagement", "0.0.0.0", "--debug", "*:8787"]
+
--- a/RELEASENOTES.md
+++ b/RELEASENOTES.md
@ -1,25 +1,11 @@
 # Versionen

-## 1.4.0 (Development)
-
- neuer AGLAIInvoiceAdapter
-  der Adapter `com.alexanderlogistics.AGLAIInvoiceAdapter` muss künftig in das Import Event der Rechnungseingangs Modelle. Dieser Adapter Findet den Space und den Mandanten.
-
-Neue Modelle:
-
- Posteingang
-  - posteingang-de-3.0
- AMS
-  - rechnungseingang-ams-1.1.0.bpmn
-
-## 1.3.6 (Development)
-
-**KSeF Produktiname II.**
+## KSeF Produktiname II.

 Neues ksef.xml als Template einspielen
 Neue version deployen.

-**KSeF Produktiname I.**
+## KSeF Produktiname I.

 Wir bekommen von Majcie einen neuen Prod - Token für KSeF. Dieser muss in das Kubernetes Deployment file eintegragen werden. Auch der Enpunkt muss geändert werden!

@ -33,10 +19,12 @@ Wir bekommen von Majcie einen neuen Prod - Token für KSeF. Dieser muss in das K
 Im Worklfow Modell 'rechnungsausgang' muss das das Partner Mail im Schritt 4200.10 aktiviert werden.
 jhendzel@alexander-logistics.com in CC
 ralph.soika@imixs.com in BCC
+
 Derzeit fehlen meistens die Mailadressen so dass vermutlich häufig keine Mails rausgehen.
+
 Im Dokument Import 'CARGOSOFT_INVOCIE_XML' muss die Task ID von 5001 auf 4000 geändert werden!!

-## 1.3.5
+## 1.3.5 (Development)

 - Verbesserter Cargosoft Export (Eingangsrechnungen)
 - Polen KSeF Schnittstelle
--- a/backup/README.md
+++ b/backup/README.md
@ -1,204 +0,0 @@
-# Eigenes Backup-System (Backup-Mirror)
-## Architektur, Einrichtung und Disaster-Recovery-Konzept
-
---
-
-## 1. Idee und Architektur
-
-### 1.1 Ausgangslage
-
-Imixs-Office-Workflow wird von uns als eine transaktionale, hochverfügbare
-Geschäftsprozessmanagement-Suite betrieben. Die Basis ist ein Open Source Kernel,
-der frei zugänglich ist ([https://github.com/imixs/](https://github.com/imixs/)).
-Unabhängig vom gewählten Betriebsmodell (SaaS, Public Cloud, Private Cloud, On
-Premise) sind und bleiben Sie Eigentümer Ihrer Geschäftsdaten. Über den
-Backup-Service haben Sie die Möglichkeit, jederzeit eigenständig auf eine
-vollständige Kopie Ihrer Daten zuzugreifen – unabhängig davon, wie und wo Ihre
-Instanz aktuell betrieben wird.
-
-### 1.2 Architektur – Own your Data
-
-Auch wenn wir den Betrieb Ihrer Instanz übernehmen, bedeutet das nicht, dass Sie
-von uns abhängig sind. Über den Backup-Mirror betreiben Sie bei sich einen eigenen,
-unabhängigen Backup-Dienst. Dieser Dienst wird von Ihnen selbst eingerichtet,
-verwaltet und überwacht und läuft vollständig autark – wir müssen ihn technisch
-weder kennen noch verwalten. Dadurch gilt:
-
-> **Sie verfügen über eine eigenständige, vollständige Kopie Ihrer
-> Geschäftsdaten – unabhängig von unserer Infrastruktur. Mit dieser Kopie kann
-> Ihr System bei Bedarf komplett neu aufgebaut werden.**
-
-Das ist ein bewusst einfaches und robustes Prinzip: Es kommt nicht darauf an, *wo*
-Ihre Daten zusätzlich liegen, sondern *wer* die Kontrolle über diesen zusätzlichen
-Sicherungsort hat. Nur wenn diese Kontrolle bei Ihnen liegt, sind Sie wirklich
-unabhängig.
-
-### 1.3 Wie es funktioniert
-
-Technisch basiert das Konzept auf dem Open-Source-Projekt
-[Imixs-Archive](https://github.com/imixs/imixs-archive), konkret auf dem Baustein
-*Imixs-Archive-Backup*. Der Ablauf im Überblick:
-
-1. Bei jeder Änderung an einem Geschäftsvorgang erzeugt Ihre Workflow-Instanz
-   automatisch einen unveränderlichen Snapshot (eine vollständige Kopie des
-   Vorgangs inkl. aller angehängten Dokumente).
-2. Diese Snapshots werden über die REST-Schnittstelle Ihrer Workflow-Instanz
-   bereitgestellt.
-3. Ein bei Ihnen installierter Backup-Dienst (siehe Abschnitt 2) ruft diese
-   Snapshots eigenständig ab und speichert sie auf einem Speicherort Ihrer Wahl
-   (z. B. eigener FTP-/Storage-Server).
-
-Wichtig: Die Verbindung erfolgt **von Ihrem System zu unserer Workflow-Instanz**
-(„Pull-Prinzip"). Sie benötigen dafür lediglich einen Netzwerkzugriff auf die
-REST-Schnittstelle Ihrer Instanz – wir müssen keinen Zugriff auf Ihre Infrastruktur
-haben und erhalten auch keinen.
-
---
-
-## 2. Technische Einrichtung
-
-Der Backup-Dienst kann als Docker-Container in unterschiedlichen Umgebungen betrieben werden:
-
- - **Local**: lokal  über Docker oder Docker Compose, 
- - **Private Cloud**: in einer Private Cloud (z.b. Kubernetes, OpenShift)
- - **Public Cloud**: in einer Public Cloud Umgebung (z.b. AWS, Microsoft Azure) 
- 
-
-### 2.1 Voraussetzungen
-
- Eine eigene Server- bzw. Container-Umgebung (Docker) auf Ihrer Seite
- Ein eigener Speicherort für die Backup-Daten (z. B. FTP-Storage, NAS mit
-  FTP-Anbindung)
- Eine sogenannte **Mirror-ID**, die wir Ihnen bereitstellen
-
-### 2.2 Mirror-ID anfragen
-
-Die Mirror-ID ist eine organisatorische Kennung, mit der wir Ihre eigene
-Backup-Verbindung für Ihre Instanz freischalten. Sie ist kein Sicherheitsmerkmal im
-engeren Sinn, sondern eine Vereinbarung zwischen uns: *„Kunde X betreibt ein eigenes
-Backup."* Bitte fordern Sie diese ID formlos bei uns an.
-
-### 2.3 Backup-Nutzer in Ihrer eigenen Instanz anlegen
-
-Ein zentraler Punkt für die Autarkie des Systems: **Sie legen den technischen
-Benutzer für den Backup-Zugriff selbst in Ihrer Imixs-Instanz an.** Dieser Nutzer
-gehört ausschließlich Ihnen – wir kennen weder das Passwort noch verwalten wir
-dieses Konto. Vergeben Sie dem Nutzer ausreichende Leserechte, damit er alle
-relevanten Vorgänge und Dokumente sichern kann.
-
-### 2.4 Docker-Compose Beispielkonfiguration
-
-Das folgende Beispiel zeigt eine Docker Compose Konfiguraiton für den Betrieb des  Backup-Dienstes:
-
-```yaml
-version: "3.6"
-services:
-  backup:
-    image: imixs/imixs-archive-backup:latest
-    environment:
-      TZ: "Europe/Berlin"
-      WORKFLOW_SERVICE_ENDPOINT: "https://<ihre-instanz>.office-workflow.de/api/"
-      WORKFLOW_SERVICE_USER: "<ihr-backup-nutzer>"
-      WORKFLOW_SERVICE_PASSWORD: "<ihr-passwort>"
-      WORKFLOW_SERVICE_AUTHMETHOD: "form"
-      BACKUP_FTP_HOST: "<ihr-storage-host>"
-      BACKUP_FTP_PATH: "<ihr-zielverzeichnis>"
-      BACKUP_FTP_PORT: "21"
-      BACKUP_FTP_USER: "<ihr-ftp-nutzer>"
-      BACKUP_FTP_PASSWORD: "<ihr-ftp-passwort>"
-      BACKUP_MIRROR_ID: "<ihre-mirror-id>"
-    ports:
-      - "8084:8080"
-      - "9990:9990"
-```
-
-**Erläuterung der wichtigsten Parameter:**
-
-| Parameter | Bedeutung |
-|---|---|
-| `WORKFLOW_SERVICE_ENDPOINT` | Die REST-API-Adresse Ihrer bei uns gehosteten Workflow-Instanz |
-| `WORKFLOW_SERVICE_USER/PASSWORD` | Der von Ihnen selbst angelegte Backup-Nutzer |
-| `BACKUP_FTP_*` | Ihr eigener Speicherort für die Backup-Daten |
-| `BACKUP_MIRROR_ID` | Die von uns bereitgestellte Freischalt-ID |
-
-Nach dem Start prüft der Dienst regelmäßig auf neue zu sichernde Vorgänge und
-überträgt diese automatisch auf Ihren Speicherort.
-
-### 2.5 Monitoring des eigenen Backup-Dienstes
-
-Da der Dienst vollständig in Ihrer Verantwortung läuft, sollten Sie ihn aktiv
-überwachen. Ein einfacher Ping-Check zeigt zwar, dass der Container erreichbar
-ist – sagt aber nichts darüber aus, ob der Dienst tatsächlich funktionsfähig ist
-und Backups erfolgreich durchführt.
-
-Der Imixs-Archive-Backup-Service stellt hierfür standardisierte **MicroProfile-Endpunkte** mit, die auf Port `9990`
-bereitgestellt werden:
-
-| Endpunkt | Beschreibung |
-|---|---|
-| `/health` | Liefert den Health-Status des Dienstes nach dem MicroProfile-Health-Standard – inklusive Readiness (ist der Dienst betriebsbereit, z. B. Verbindung zur Workflow-API und zum FTP-Storage vorhanden?) und Liveness (läuft der Prozess korrekt?) |
-| `/metrics` | Liefert Betriebskennzahlen im MicroProfile-Metrics-Format (Prometheus-kompatibel), z. B. Anzahl verarbeiteter Backups, Fehlerzähler, Laufzeiten |
-
-Damit lässt sich der Dienst professionell überwachen:
-
- **Health-Checks** binden Sie direkt in gängige Monitoring-Systeme ein (z. B.
-  Kubernetes Liveness-/Readiness-Probes, Uptime-Kuma, Nagios, Icinga) und erkennen
-  so nicht nur einen abgestürzten Container, sondern auch einen Dienst, der zwar
-  läuft, aber z. B. keine Verbindung mehr zu Ihrer Workflow-Instanz oder zum
-  FTP-Ziel herstellen kann.
- **Metrics** lassen sich direkt von Prometheus abgegriffen und in Grafana
-  visualisiert werden – so erkennen Sie auf einen Blick, ob regelmäßig Backups
-  durchgeführt werden, oder ob z. B. die Fehlerrate ansteigt.
-
-**Voraussetzung:** Sie müssen Port `9990` in Ihrer Docker-Umgebung entsprechend
-freigeben bzw. mappen, damit Ihr Monitoring-System auf die Endpunkte zugreifen kann
-(siehe Port-Mapping im Beispiel aus Abschnitt 2.4).
-
-Ein Backup, das unbemerkt seit Wochen nicht mehr funktioniert, bietet keinen Schutz.
-Die Überwachung über Health- und Metrics-Endpunkte ist daher ein integraler
-Bestandteil des Konzepts, nicht optional.
-
---
-
-## 3. Notfall- und Wiederherstellungsfall (Disaster Recovery)
-
-Im Falle eines Disaster-Recovery-Prozesses stellen Sie uns Ihr Backup zur Verfügung, damit Ihr System auf dessen Basis wiederhergestellt werden kann. Dieser Abschnitt beschreibt das Vorgehen nur in Stichpunkten. 
-Die vollständige technische Dokumentation der
-Imixs-Workflow-Architektur ist Open Source und öffentlich einsehbar unter
-[github.com/imixs](https://github.com/imixs).
-
-**Grundprinzip der Wiederherstellung:**
-
- Ihre gesicherten Snapshot-Daten liegen vollständig und unverändert in Ihrem
-  eigenen Speicher (FTP/Storage) vor.
- Diese Daten liegen in einem offenen, plattformunabhängigen XML-Format vor und
-  sind nicht an unsere konkrete Infrastruktur gebunden.
- Auf Basis dieser Daten kann eine neue Imixs-Workflow-Instanz (bei Ihnen oder bei
-  einem anderen Dienstleister) aufgesetzt werden.
- Über die Restore-Funktion der Imixs-Archive-Komponenten werden die Snapshots in
-  die neue Instanz zurückgespielt – jeder Geschäftsvorgang wird dabei inklusive
-  seiner Historie und aller Dokumente wiederhergestellt.
-
-**Wichtige Stichpunkte für den Ernstfall:**
-
- Backup-Daten sind vollständig bei Ihnen vorhanden → keine Abhängigkeit von uns
- Wiederherstellung erfordert eine lauffähige Imixs-Workflow-Umgebung (Open Source,
-  frei verfügbar)
- Die technische Vorgehensweise zum Restore ist Teil der öffentlichen
-  Imixs-Archive-Dokumentation
- Wir unterstützen Sie im Ernstfall selbstverständlich gerne beim Wiederaufbau –
-  diese Unterstützung ist jedoch **keine Voraussetzung**, da die Daten und das
-  Wiederherstellungsverfahren vollständig unabhängig von uns nutzbar sind
-
---
-
-## 4. Zusammenfassung
-
-Mit dem Backup-Mirror bleiben Sie jederzeit Eigentümer Ihrer Geschäftsdaten – unabhängig
-davon, wie und wo Ihre Instanz betrieben wird. Sie richten den Dienst selbst ein, verwalten
-ihn eigenständig und behalten so die volle Kontrolle über Ihre zusätzliche Datenkopie. Genau
-diese Unabhängigkeit ist es, die Ihnen im Bedarfsfall den vollständigen Wiederaufbau Ihres
-Systems ermöglicht.
-
-Bei Fragen zur Einrichtung oder zur Anforderung Ihrer Mirror-ID kontaktieren Sie uns
-gerne.
--- a/backup/docker-compose.yaml
+++ b/backup/docker-compose.yaml
@ -1,22 +0,0 @@
-version: "3.6"
-services:
-  ###############################################
-  # Backup Service
-  ###############################################
-  backup:
-    image: imixs/imixs-archive-backup:latest
-    environment:
-      TZ: "Europe/Berlin"
-      WORKFLOW_SERVICE_ENDPOINT: "https://alexander-logistics-ams.office-workflow.de/api/"
-      WORKFLOW_SERVICE_USER: "kutzner-backup-service"
-      WORKFLOW_SERVICE_PASSWORD: "16e-7ede-4c1c-bdeb-e16ce"
-      WORKFLOW_SERVICE_AUTHMETHOD: "form"
-      BACKUP_FTP_HOST: "u248962.your-storagebox.de"
-      BACKUP_FTP_PATH: "/test/agl/ams-test"
-      BACKUP_FTP_PORT: "21"
-      BACKUP_FTP_USER: "u248962"
-      BACKUP_FTP_PASSWORD: "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
-      BACKUP_MIRROR_ID: "backup-mirror-local"
-      WORKFLOW_REST_JPQL_DOUBLEDECODE_WORKAROUND: "true"
-    ports:
-      - "8084:8080"
--- a/cargosoft-migration/AGL_ADRESSEN_GLEICHENUMMER_VERSCHIEDENEFELDER.xls
+++ b/cargosoft-migration/AGL_ADRESSEN_GLEICHENUMMER_VERSCHIEDENEFELDER.xls
--- a/4
+++ b/4
@ -53,13 +53,15 @@ fi

 if [[ "$(strip_dash $1)" == "hot" ]]; then
    echo "* Hotdeploy..."
+    cd *-app
    mvn manik-hotdeploy:hotdeploy
+    cd ..
 fi

 if [[ "$(strip_dash $1)" == "deploy" ]]; then
    echo " Deploy to Imixs-Cloud..."

-    mvn clean install -Pimixs-cloud -DskipTests
+    mvn clean install -Pkubernetes -DskipTests
 fi


--- a/doc/FTP.md
+++ b/doc/FTP.md
@ -0,0 +1,96 @@
+# FTP Server
+
+Wir stellen verschiedene FTP Laufwerke auf dem Hetzner bereit um Daten mit Cargosoft und anderen Partnern auszutauschen
+
+# Cargosoft
+
+**ACHTUNG:** Frau Beste bittet darum den public key für alle Sub Accounts zu installieren:
+
+$ cat id_rsa_cargosoft.pub | ssh -p23 u248962-sub12@u248962.your-storagebox.de install-ssh-key
+
+## Cargosoft Schnittstelle (Bremen - Mandant 001)
+
+    Server: u248962.your-storagebox.de
+    Pfad: /office-alexander-logistics/cargosoft
+    Benutzername: u248962-sub2
+    Passwort: aXa61n9Un3jDNQlL
+
+## Cargosoft Schnittstelle (AMS - Mandant 002)
+
+    Server: u248962.your-storagebox.de
+    Pfad: /office-alexander-logistics/cargosoft-ams
+    Benutzername: u248962-sub12
+    Passwort: RA9N0V8EB8_1Dnw
+
+## Cargosoft Schnittstelle (Bremerhaven Mandant 005)
+
+    Server: u248962.your-storagebox.de
+    Pfad: /office-alexander-logistics/cargosoft-bhv
+    Benutzername: u248962-sub5
+    Passwort: 5hKKzv6TFCKRrAdR
+
+## Cargosoft Schnittstelle (Polen Mandant 003)
+
+    Server: u248962.your-storagebox.de
+    Pfad: /office-alexander-logistics/cargosoft-pl
+    Benutzername: u248962-sub7
+    Passwort: PGPzzqmtZ8BSxkbs
+
+## Cargosoft Schnittstelle (Dubai Mandant 006)
+
+    Server: u248962.your-storagebox.de
+    Pfad: /office-alexander-logistics/cargosoft-dwc
+    Benutzername: u248962-sub3
+    Passwort: enHjxs9h4nJ6EgsZ
+
+## Cargosoft Schnittstelle (USA Mandant 004)
+
+    Server: u248962.your-storagebox.de
+    Pfad: /office-alexander-logistics/cargosoft-usa
+    Benutzername: u248962-sub9
+    Passwort: GMk7NgDBrmb2QqXg
+
+## Cargosoft Schnittstelle (China Mandant 007)
+
+    Server: u248962.your-storagebox.de
+    Pfad: /office-alexander-logistics/cargosoft-chn
+    Benutzername: u248962-sub10
+    Passwort: yswBeN83jMqkMqJa
+
+# Dubai
+
+**ACHTUNG** Wird nicht merh genutzt - jetzt Zoho
+
+Wir stellen Herrn Hoelzl in Dubai ein eigenes FTP Laufwerk bereit, in das wir die Rechnungen per Imixs-Exporter verschieben.
+
+    Server: u248962.your-storagebox.de
+    Pfad: /office-alexander-logistics/filetransfer-dwc
+    Benutzername: u248962-sub11
+    Passwort: mH9mAS77QhuA5XJi
+
+Herr Hoelzl überträgt dann die Daten in eine app von einer Steuerkanzlei.
+
+Es wird dazu ein FTP Server bereitgestellt der von Herrn Hölzl und Frau Geisler lokal eingebunden werden kann.
+
+Der aktuelle Workflow für Eingangs- und Ausgangsrechnungen wird dahingehend angepasst, dass die Belege automatisch nach folgenden Format exportiert werden:
+
+```
+├── invoice-out
+│   ├── 2024
+│   │   ├── 06
+│   │   │   ├── 198_EX-DWC-2406-013.pdf
+│   │   │   ├── 199_EX-DWC-2406-013.pdf
+│   │   ├── 07
+│   │   │   ├── 200_IM-DWC-2407-010.pdf
+├── invoice-in
+│   ├── 2024
+│   │   ├── 06
+│   │   │   ├── 700045_EX-DWC-2406-005.pdf
+│   │   │   ├── 700045_59475.pdf
+```
+
+sequencenumer +
+
+firmename + positionsnummer + rechnungsnummer +
+
+Der Export erfolgt automatisch nach Empfang der Rechnung bzw. nach Prüfung der Rechnung (Review->Approved). Die Dateinamen werden vom System berechnet (siehe oben). Bei Sachrechnungen wird das Rechnungsdatum verwendet um die Buchungsperiode zu berechnen.
--- a/doc/HETZNER_SUPPORT/2025-07-28.md
+++ b/doc/HETZNER_SUPPORT/2025-07-28.md
@ -0,0 +1,49 @@
+Hallo,
+wir nutzen oben genannte Storage Box für den Datenaustausch mit verschiedenen Kunden.
+Einer der Kunden kann seit dem 25. Juli nicht mehr von seinem Firmennetzwerk darauf zugreifen.
+
+Wir haben auf dem Linux Server beim Kunden folgende Tests durchgeführt:
+
+cargodb@cargodb:~$ sftp -v -oPort=22 u248962-sub1@u248962.your-storagebox.de
+OpenSSH_8.2p1 Ubuntu-4ubuntu0.3, OpenSSL 1.1.1f 31 Mar 2020
+debug1: Reading configuration data /etc/ssh/ssh_config
+debug1: /etc/ssh/ssh_config line 19: include /etc/ssh/ssh_config.d/_.conf matched no files
+debug1: /etc/ssh/ssh_config line 21: Applying options for _
+debug2: resolving "u248962.your-storagebox.de" port 22
+debug2: ssh_connect_direct
+debug1: Connecting to u248962.your-storagebox.de [78.47.94.120] port 22.
+debug1: connect to address 78.47.94.120 port 22: Connection refused
+debug1: Connecting to u248962.your-storagebox.de [2a01:4f8:2b01:db::2] port 22.
+debug1: connect to address 2a01:4f8:2b01:db::2 port 22: Network is unreachable
+ssh: connect to host u248962.your-storagebox.de port 22: Network is unreachable
+Connection closed.
+
+cargodb@cargodb:~$ nc -zv u248962-sub1@u248962.your-storagebox.de 22
+nc: getaddrinfo for host u248962-sub1@u248962.your-storagebox.de port 22: Name or service not known
+
+cargodb@cargodb:~$ tcptraceroute u248962.your-storagebox.de 22
+Selected device ens160, address 192.168.83.3, port 52113 for outgoing packets
+Tracing the path to u248962.your-storagebox.de (78.47.94.120) on TCP port 22 (ssh), 30 hops max
+1 192.168.83.254 0.233 ms 0.175 ms 0.242 ms
+2 82-198-218-38.briteline.de (82.198.218.38) 1.470 ms 1.103 ms 2.286 ms
+3 10.200.48.254 0.930 ms 0.915 ms 0.776 ms
+4 82-198-192-194.briteline.de (82.198.192.194) 1.092 ms 1.114 ms 0.902 ms
+5 82-198-216-168.briteline.de (82.198.216.168) 1.101 ms 1.168 ms 1.034 ms
+6 ae0-201.cr11.bre04.lwlcom.net (31.209.93.121) 1.543 ms 1.650 ms 1.528 ms
+7 ae0-30.cr10.bre09.lwlcom.net (185.146.230.97) 7.713 ms 7.440 ms 11.215 ms
+8 ae0-10.cr11.bre09.lwlcom.net (185.146.230.53) 7.647 ms 7.652 ms 7.617 ms
+9 ae0-20.cr10.bre03.lwlcom.net (185.146.230.99) 7.530 ms 7.716 ms 7.505 ms
+10 ae7-90.cr10.bre11.lwlcom.net (185.146.230.34) 7.723 ms 7.661 ms 7.578 ms
+11 ae7-100.cr10.lut01.lwlcom.net (185.146.230.39) 7.446 ms 7.509 ms 7.673 ms
+12 ae6-100.cr10.fra03.lwlcom.net (185.146.230.27) 7.980 ms 7.281 ms 7.981 ms
+13 ae2-100.cr10.fra04.lwlcom.net (185.146.230.51) 7.287 ms 7.392 ms 7.406 ms
+14 213-133-121-205.clients.your-server.de (213.133.121.205) 10.464 ms 10.542 ms 10.573 ms
+15 core24.fsn1.hetzner.com (213.239.224.85) 16.458 ms 16.381 ms 16.338 ms
+16 mx10k1.dc3.fsn1.hetzner.com (213.239.254.142) 16.632 ms 16.687 ms 24.837 ms
+17 static.120.94.47.78.clients.your-server.de (78.47.94.120) 16.526 ms !p 16.509 ms !p 16.505 ms !p
+
+Können Sie anhand dieser Daten erkennen worin das Problem besteht? Andere Kunden können die Storage Box problemlos nutzen.
+
+Vielen Dank für Ihre Hilfe
+Mit freundlichen Grüßen
+Ralph Soika
--- a/doc/KSeF/FEEDBACK.md
+++ b/doc/KSeF/FEEDBACK.md
@ -0,0 +1,25 @@
+# Feedback zum PDF FIle
+
+| Feld / Komponente                                        | Status                   |
+| :------------------------------------------------------- | :----------------------- |
+| **1. Podmiot 1 — Daten des Rechnungsausstellers (AGLP)** |                          |
+| `<Nazwa>`                                                | **FIXED**                |
+| `<AdresL1>`                                              | **FIXED**                |
+| `<PrefiksPodatnika>PL</PrefiksPodatnika>`                | **FIXED**                |
+| **2. Podmiot 2 — Daten des Rechnungsempfängers**         |                          |
+| `<NrID> <NIP>`                                           | **ALREADY IMPLEMENTED**  |
+| EU-Rechnungsempfänger                                    | **UNCLEAR!**             |
+| Anschrift des Rechnungsempfängers                        | **CARGOSOFT TOPIC**      |
+| **3. Abschnitt <Fa> — Rechnungskopf**                    | **FIXED**                |
+| `<P_1M>`                                                 | **FIXED**                |
+| `<KursWalutyZ>`                                          | **FIXED**                |
+| **4. Rechnungspositionen <FaWiersz> — Pflichtfelder**    |                          |
+| `<P_7>`                                                  | **FIXED**                |
+| `<P_8B>`                                                 | **IGNORED - NOT FIXED!** |
+| `<P_11A>`                                                | **????**                 |
+| `<P_11Vat>`                                              | **????**                 |
+| **5. Rechnungssummen — <P_13_x> / <P_14_x>**             |                          |
+| _Noch keine Details_                                     | —                        |
+| **6. Zahlung — <Platnosc>**                              |                          |
+| `<FormaPlatnosci>`                                       | **FIXED**                |
+| `<RachunekBankowy>`                                      | **FIXED**                |
--- a/doc/KSeF/SECRETS.md
+++ b/doc/KSeF/SECRETS.md
@ -0,0 +1,3 @@
+NIP = "9552521552"
+
+TOKEN = "20251113-EC-2751AC3000-5C5466924B-62|nip-9552521552|fc0c95d020dc45d4af491fb0aa755f3f3f674b33ecbf4250a88ea6e36fa8340b
--- a/doc/KSeF/information-sheet-on-the-fa-3-logical-structure.pdf
+++ b/doc/KSeF/information-sheet-on-the-fa-3-logical-structure.pdf
--- a/doc/MAIL.md
+++ b/doc/MAIL.md
@ -0,0 +1,9 @@
+# Mail
+
+Testen von Mailing kann man über
+
+https://www.mail-tester.com/
+
+Kutzner Mail gateway
+
+PW: 26W%R#Xe4^Z2Gyz1
--- a/doc/id_rsa_cargosoft.pub
+++ b/doc/id_rsa_cargosoft.pub
@ -0,0 +1 @@
+ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAnGiu0PUBl+G++vHrGP5wDRit4mXF4hXTyzUem3BPADaV0DUuYN1Fx5RpDl2F8mhnqDYcyCTBzLTJ+0jFqq1pzoJW5ZWZ+hSChabVCV4m8UkFkhbRmjxNkPx26ZMhfTD1mDqgCKQ+bbt1mi04UZppDKBr+9ZrMG3d0odHblEJHixtJ7Hqr9vvXXbvNv4E9B/9dlW57oyEUk/vKmwuLyGAsDjxjfB3W+Faab+gev8VDwJxdbD90HX0O2Az05wy9EC7M3pujcawsHdaFXgFFRRwlVuUkX3z9hp1Uekqg0N81hty7/i8GiZ9/m3Y6hIA5eRM4ZpDQFEF8SY9TLSzDehNoQ== seesped@cargodb
--- a/doc/zoho/SECRETS.md
+++ b/doc/zoho/SECRETS.md
@ -0,0 +1,78 @@
+# Zoho Web API
+
+AGL Dubai nutzt Zoho als Platform zusammen mit einer lokalen Steuerkanzlei
+
+## Test/Prod Account Imixs
+
+https://api-console.zoho.eu/
+https://api-console.zoho.eu/client/1000.NLTM2KUEHI696MSLGEIANATVGGX7IN
+
+```
+zoho.accesstoken 	1000.18f5fbeaf572425b8062d015d541aad5.a704efa994774ef33d7af75106468a13
+zoho.apidomain 	    https://www.zohoapis.eu
+zoho.clientid 	    1000.GR5FTPZYB06HEWSFSSX4DJU3OBD4EJ
+zoho.clientsecret 	3f3e74c5212bbc924a7ebf77f887c6296db1106c47
+zoho.code 	        1000.c184c7592a218fee58f7b7855b56eb77.7b533ff9f570fd6ab3296784caeec072
+zoho.organization 	20105697367
+zoho.refreshtoken 	1000.98fe4d0c4f676237b400bf8a3dc219f3.03d6bacf5b988d339eb788c4ecff440e
+zoho.scope 	        ZohoBooks.contacts.ALL ZohoBooks.invoices.CREATE ZohoBooks.invoices.READ ZohoBooks.invoices.UPDATE
+
+```
+
+## Atari
+
+atari.600xl@gmail.com
+800xlAtari
+
+```
+zoho.apidomain 	    https://www.zohoapis.eu
+zoho.clientid 	    1000.86O4P321HDYDRX0Q0N1G7YOJRJ9D5W
+zoho.clientsecret 	2a67b6cfc364f5df27cc8eb33e9b0e4e8a0221ebc3
+zoho.code 	        1000.c7dc89c06111b93f1242b587fabed4ac.44c591dffbd978a316e3d90ed3fefc78
+zoho.organization 	886924765
+zoho.scope 	        ZohoBooks.contacts.ALL,ZohoBooks.invoices.ALL,ZohoBooks.bills.ALL
+```
+
+## Prod DWC
+
+info@imixs.com
+imixs4zoho
+
+Für Drecks Forum
+Imixs4#zoho
+Imixs4#zoho
+
+http://books.zoho.com/
+
+https://api-console.zoho.com/
+
+ZohoBooks.contacts.ALL,ZohoBooks.invoices.ALL,ZohoBooks.bills.ALL
+
+```
+
+zoho.apidomain 	    https://www.zohoapis.com
+zoho.clientid 	    1000.MQE1SU8UGY6F2PBPASOXGTLWYQD1FS
+zoho.clientsecret 	1ca70e1ab803b3fed6b1b5e00858c316e2003d289b
+zoho.organization 	884218508
+zoho.scope 	        ZohoBooks.contacts.ALL,ZohoBooks.invoices.ALL,ZohoBooks.bills.ALL
+
+```
+
+# API Dokumentation
+
+- API Docu: https://www.zoho.com/books/api/v3/introduction/
+- Authentication: https://www.zoho.com/books/api/v3/oauth/
+
+# Testumgebung
+
+https://books.zoho.eu/app/20105697367
+https://accounts.zoho.eu/home#
+
+Base API URI= https://accounts.zoho.eu/
+
+# AGL Organisation
+
+https://api-console.zoho.com
+
+info@imixs.com
+password imixs4zoho
--- a/docker-compose.yml
+++ b/docker-compose.yml
@ -25,7 +25,7 @@ services:
      POSTGRES_CONNECTION: "jdbc:postgresql://db/office-alexander-logistics"
      TZ: "CET"
      LANG: "en_US.UTF-8"
-      MAILGATEWAY: "mailpit"
+      MAILGATEWAY: "mailgateway"

      ASYNCEVENT_PROCESSOR_ENABLED: "true"
      ASYNCEVENT_PROCESSOR_INITIALDELAY: "10000"
@ -41,8 +41,8 @@ services:
      WORKFLOW_SERVICE_USER: "admin"
      WORKFLOW_SERVICE_PASSWORD: "adminadmin"

-      # LLM Integration
-      LLM_CONFIG_FILE: /opt/jboss/imixs-llm.xml
+      LLM_SERVICE_ENDPOINT_USER: "admin"
+      LLM_SERVICE_ENDPOINT_PASSWORD: "imixs4.null"

      # KSeF - Polen Test
      KSEF_API_NIP: "9552521552"
@ -57,7 +57,6 @@ services:
      - "8787:8787"
    volumes:
      - ./docker/deployments:/opt/jboss/wildfly/standalone/deployments/
-      - ./docker/keys/imixs-llm.xml:/opt/jboss/imixs-llm.xml
      - ./docker/transfer:/opt/jboss/wildfly/transfer/

  ###############################################
@ -103,15 +102,12 @@ services:
  ###############################################
  # Mailgateway
  ###############################################
-  mailpit:
-    image: axllent/mailpit:latest
-    container_name: mailpit
+  mailgateway:
+    image: imixs/exim4
    environment:
-      MP_SMTP_BIND_ADDR: "0.0.0.0:25"
-    ports:
-      - "1025:25" # Host:1025 -> Container:25 (SMTP)
-      - "8025:8025" # Web UI
-    restart: unless-stopped
+      EXIM_SMARTHOST: "www149.your-server.de:25"
+      EXIM_PASSWORD: "www149.your-server.de:webmaster@imixs.com:$MAILPASSWORD"
+      EXIM_ALLOWED_SENDERS: "10.0.0.0/8:172.18.0.0/12:192.168.0.0/16"

  # prometheus:
  #   image: prom/prometheus:latest
--- a/docker/.env
+++ b/docker/.env
@ -1,4 +0,0 @@
-# LLM Config
-
-LLM_API_ENDPOINT=https://api.llama.cpp.imixs.com/
-LLM_API_KEY=7fdb663fa87ea16731c1e0ece8ad3214e358423eabf2403188110c731ce07321
--- a/docker/keys/imixs-llm.xml
+++ b/docker/keys/imixs-llm.xml
@ -1,55 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!--
-    imixs-llm.xml  -  LLM Model Registry
-    ======================================
-    Place this file in your deployment so it is available on the classpath,
-    e.g. in src/main/resources/ for a Maven project.
-
-    Each <model> element defines one logical LLM service endpoint.
-    A model is either a completion model OR an embedding model - never both.
-    The BPMN configuration references them separately by their id:
-
-        <imixs-ai name="CONDITION">
-            <endpoint>my-llm</endpoint>
-            ...
-        </imixs-ai>
-
-        <imixs-ai name="RAG_INDEX">
-            <endpoint-completion>my-llm</endpoint-completion>
-            <endpoint-embeddings>my-embeddings</endpoint-embeddings>
-            ...
-        </imixs-ai>
-
-    Environment variable placeholders are supported via ${env.VAR_NAME}.
-->
-<imixs-llm>
-
-    <!--
-        Completion model – used for chat completions, conditions, analysis etc.
-        This example connects to a local llama.cpp server.
-    -->
-    <endpoint id="api.llama.cpp.imixs.com">
-        <url>https://api.llama.cpp.imixs.com/</url>
-        <apikey>7fdb663fa87ea16731c1e0ece8ad3214e358423eabf2403188110c731ce07321</apikey>
-        <options>{
-            "temperature": 0.2,
-            "max_tokens": 1024
-            }
-        </options>
-    </endpoint>
-
-    <!--
-        Embedding model – used for RAG indexing and retrieval.
-        This example connects to a separate embedding server.
-        No apikey needed for a locally hosted instance.
-    -->
-    <endpoint id="embeddings.llama.cpp.imixs.com">
-        <url>https://embeddings.llama.cpp.imixs.com/</url>
-        <apikey>7fdb663fa87ea16731c1e0ece8ad3214e358423eabf2403188110c731ce07321</apikey>
-        <options>{
-            "max_tokens": 512
-            }
-        </options>
-    </endpoint>
-
-</imixs-llm>
--- a/docker/lucene-core-7.7.3.jar
+++ b/docker/lucene-core-7.7.3.jar
--- a/hotdeploy.sh
+++ b/hotdeploy.sh
@ -0,0 +1,11 @@
+#!/bin/bash
+
+############################################################
+# Setup hotdeploy
+# 
+############################################################
+
+cd office-alexander-logistics-app
+mvn manik-hotdeploy:hotdeploy
+
+cd ..
--- a/models/README.md
+++ b/models/README.md
@ -0,0 +1,53 @@
+# ML Models
+
+Wir verwenden bei Alexander-Global Logistics ein standard Invoice ML Modell. Dieses basiert im Grund auf unserem offizielen spacy modell 'invoice-de-0.1.0'. 
+
+
+
+## Modell Nachtrainieren
+
+Das Modell bei Alexander Logistics läst sich in der Dev Umggebung bei Bedarf nachtrainieren. Dazu geht man wie folgt vor:
+
+**1.)** Aktuelles Modell auf Tikal Cloud Server sichern:
+
+    $ ssh imixs@master-1.tikal.imixs.com
+    $ cd tikal-cloud/
+    $ ./apps/alexander-logistics.office-workflow.de/ml_model_backup.sh
+    
+    # Falls es zu einem io/error kommt, muss der spacy ml pod neu gestartet werden!
+   
+
+**2.)** Die Tikal-Cloud Pullen
+
+**3.)** Um auf dem aktuellen Modell weiter zu trainierne, den Inhalt des invoice-de-0.1.0 Folders aus dem Backup directory in die lokale Dev Umgebung kopieren / 
+   um ein neues Modell zu genereiren einfach den localen ordner 'invoice-de-0.1.0' umbenennen oder leeren.
+
+**4.)** Jetzt lokal den Trainingsserver aufrufen  
+
+	http://localhost:8081/api/openapi-ui/index.html
+
+ und das training beginnen mit der datei 'training-config-prod.xml'. Man kann das training 3-4 mal durchführen.
+ 
+ 
+**5.)** Nun kann man die Inhalte des  invoice-de-0.1.0 Folders zurück auf den Tikal in den modell folder /invoice-de-0.1.0 einspielen 
+
+**6.)** Nun die änderungen nach Git Puschen.
+
+**7.)** auf dem Tikal Sever nun das aktuellisete Modell wieder einspielen
+
+	$ git pull
+	$ ./apps/alexander-logistics.office-workflow.de/ml_model_deploy.sh invoice-de-0.1.0/
+	
+
+
+
+## 22.05.2021 - invoice-de-0.1.0
+
+NER=2.1948
+
+
+## 17.02.2020 - invoice-de-0.1.0
+
+Modell trainiert anhand der alexander-logistics Produtiv daten
+
+
--- a/models/TEST_PROTOKOLL.md
+++ b/models/TEST_PROTOKOLL.md
@ -0,0 +1,491 @@
+# Test Protokoll Alexander Logistic invoice-de-0.1.0
+
+
+**Validierung**
+f4eaceda-f28a-4394-928e-1a05daaf2760
+a5d1e7fe-d74a-4fa2-9b06-3221865759fa
+c0290497-f613-4492-81b6-4ae1e1680029
+d8e3fce4-d11c-46a4-8ba0-369b4c6e902f
+8b766f35-828a-41f1-be04-00b4b62da4d0
+
+
+
+**********************************************************************
+** invoice-de-0.1.0-falsemodell
+**12.10.2021 15:50** (sort order created)
+**********************************************************************
+workflow.query				($workflowgroup:"Rechnungseingang" OR $workflowgroup:"Sachrechnung") AND ($taskid:5900)
+workflow.pagesize			500
+ml.training.filepattern		.pdf
+ml.training.iterations	 	10
+ml.training.dropoutrate		0,25
+multiOccurrence 			false
+ml.training.quality			LOW		
+min_losses					0
+
+RESULT
+ -----------------------------------------------------------------------
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 53.33%  (200)
+imixs-ml-training_1  |   ......      quality level LOW = 31.47%  (118)
+imixs-ml-training_1  |   ......      quality level BAD = 15.2%  (57)
+imixs-ml-training_1  |   ......            average NER = 17.195895012525614
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 51.73%  (194)
+imixs-ml-training_1  |   ......      quality level LOW = 32.8%  (123)
+imixs-ml-training_1  |   ......      quality level BAD = 15.47%  (58)
+imixs-ml-training_1  |   ......            average NER = 6.50170386961344
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 53.87%  (202)
+imixs-ml-training_1  |   ......      quality level LOW = 31.73%  (119)
+imixs-ml-training_1  |   ......      quality level BAD = 14.4%  (54)
+imixs-ml-training_1  |   ......            average NER = 4.8940276912225
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 52.8%  (198)
+imixs-ml-training_1  |   ......      quality level LOW = 32%  (120)
+imixs-ml-training_1  |   ......      quality level BAD = 15.2%  (57)
+imixs-ml-training_1  |   ......            average NER = 3.9605563888416824
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 54.13%  (203)
+imixs-ml-training_1  |   ......      quality level LOW = 29.6%  (111)
+imixs-ml-training_1  |   ......      quality level BAD = 16.27%  (61)
+imixs-ml-training_1  |   ......            average NER = 3.744507591826106
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 53.07%  (199)
+imixs-ml-training_1  |   ......      quality level LOW = 31.2%  (117)
+imixs-ml-training_1  |   ......      quality level BAD = 15.73%  (59)
+imixs-ml-training_1  |   ......            average NER = 2.8395576715820736
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 53.87%  (202)
+imixs-ml-training_1  |   ......      quality level LOW = 32%  (120)
+imixs-ml-training_1  |   ......      quality level BAD = 14.13%  (53)
+imixs-ml-training_1  |   ......            average NER = 2.6799682681142363
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 53.6%  (201)
+imixs-ml-training_1  |   ......      quality level LOW = 31.47%  (118)
+imixs-ml-training_1  |   ......      quality level BAD = 14.93%  (56)
+imixs-ml-training_1  |   ......            average NER = 2.520244211218683
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 49.33%  (185)
+imixs-ml-training_1  |   ......      quality level LOW = 34.93%  (131)
+imixs-ml-training_1  |   ......      quality level BAD = 15.73%  (59)
+imixs-ml-training_1  |   ......            average NER = 2.1511980661715193
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 53.87%  (202)
+imixs-ml-training_1  |   ......      quality level LOW = 31.2%  (117)
+imixs-ml-training_1  |   ......      quality level BAD = 14.93%  (56)
+imixs-ml-training_1  |   ......            average NER = 2.2739690429824475
+
+
+
+**13.10.2021 12:00**
+workflow.query				($workflowgroup:"Rechnungseingang" OR $workflowgroup:"Sachrechnung") AND ($taskid:5900)
+workflow.pagesize			500
+ml.training.filepattern		.pdf|.PDF
+ml.training.iterations	 	10
+ml.training.dropoutrate		0,25
+multiOccurrence 			false
+ml.training.quality			LOW		
+min_losses					0
+
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 61.33%  (230)
+imixs-ml-training_1  |   ......      quality level LOW = 38.67%  (145)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 3.790466332166552
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 61.07%  (229)
+imixs-ml-training_1  |   ......      quality level LOW = 38.93%  (146)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 3.160620521438082
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 58.13%  (218)
+imixs-ml-training_1  |   ......      quality level LOW = 41.87%  (157)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 2.636420357788331
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 58.13%  (218)
+imixs-ml-training_1  |   ......      quality level LOW = 41.87%  (157)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 2.506552163520219
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 58.93%  (221)
+imixs-ml-training_1  |   ......      quality level LOW = 41.07%  (154)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 2.3495061575286793
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 59.47%  (223)
+imixs-ml-training_1  |   ......      quality level LOW = 40.53%  (152)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 1.9351332692220107
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 61.33%  (230)
+imixs-ml-training_1  |   ......      quality level LOW = 38.67%  (145)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 1.8881396005118698
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 57.87%  (217)
+imixs-ml-training_1  |   ......      quality level LOW = 42.13%  (158)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 1.9754112840739593
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 59.73%  (224)
+imixs-ml-training_1  |   ......      quality level LOW = 40.27%  (151)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 1.7839739270522237
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 59.73%  (224)
+imixs-ml-training_1  |   ......      quality level LOW = 40.27%  (151)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 1.6024293913431429
+
+
+
+
+**********************************************************************
+** invoice-de-0.1.0
+**12.10.2021 15:50** (sort order created)
+**********************************************************************
+workflow.query				($workflowgroup:"Rechnungseingang" OR $workflowgroup:"Sachrechnung") AND ($taskid:5900)
+workflow.pagesize			500
+ml.training.filepattern		.pdf|.PDF
+ml.training.iterations	 	10
+ml.training.dropoutrate		0,25
+multiOccurrence 			true
+ml.training.quality			LOW		
+min_losses					0
+
+
+
+imixs-ml-training_1  |   
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 68.27%  (256)
+imixs-ml-training_1  |   ......      quality level LOW = 31.47%  (118)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (1)
+imixs-ml-training_1  |   ......            average NER = 21.57255353509432
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 67.73%  (254)
+imixs-ml-training_1  |   ......      quality level LOW = 32.27%  (121)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 8.249835149395697
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 68.53%  (257)
+imixs-ml-training_1  |   ......      quality level LOW = 31.2%  (117)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (1)
+imixs-ml-training_1  |   ......            average NER = 5.892598287488733
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 68.53%  (257)
+imixs-ml-training_1  |   ......      quality level LOW = 31.2%  (117)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (1)
+imixs-ml-training_1  |   ......            average NER = 4.964129124089013
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 68.53%  (257)
+imixs-ml-training_1  |   ......      quality level LOW = 31.2%  (117)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (1)
+imixs-ml-training_1  |   ......            average NER = 3.5603186705177947
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 67.2%  (252)
+imixs-ml-training_1  |   ......      quality level LOW = 32.53%  (122)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (1)
+imixs-ml-training_1  |   ......            average NER = 2.692053828307031
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 68%  (255)
+imixs-ml-training_1  |   ......      quality level LOW = 31.73%  (119)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (1)
+imixs-ml-training_1  |   ......            average NER = 2.3509401762802873
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 65.87%  (247)
+imixs-ml-training_1  |   ......      quality level LOW = 34.13%  (128)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 2.2695994889458104
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 68.27%  (256)
+imixs-ml-training_1  |   ......      quality level LOW = 31.47%  (118)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (1)
+imixs-ml-training_1  |   ......            average NER = 1.844410364015416
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 70.67%  (265)
+imixs-ml-training_1  |   ......      quality level LOW = 29.07%  (109)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (1)
+imixs-ml-training_1  |   ......            average NER = 1.6153951610034658
+
+
+page=1 (count=500)
+--------------------------------
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 69.6%  (261)
+imixs-ml-training_1  |   ......      quality level LOW = 30.4%  (114)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 7.093659738880595
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 66.4%  (249)
+imixs-ml-training_1  |   ......      quality level LOW = 33.6%  (126)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 5.201780406598962
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 68.27%  (256)
+imixs-ml-training_1  |   ......      quality level LOW = 31.73%  (119)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 3.8116329003426204
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 66.67%  (250)
+imixs-ml-training_1  |   ......      quality level LOW = 33.33%  (125)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 3.3164488404836154
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 66.93%  (251)
+imixs-ml-training_1  |   ......      quality level LOW = 33.07%  (124)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 2.7822570929398576
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 69.07%  (259)
+imixs-ml-training_1  |   ......      quality level LOW = 30.93%  (116)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 2.31773083524846
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 68.8%  (258)
+imixs-ml-training_1  |   ......      quality level LOW = 31.2%  (117)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 2.165804551920185
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 66.4%  (249)
+imixs-ml-training_1  |   ......      quality level LOW = 33.6%  (126)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 1.9591955652007715
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 66.4%  (249)
+imixs-ml-training_1  |   ......      quality level LOW = 33.6%  (126)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 1.5473874007025803
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 375
+imixs-ml-training_1  |   ......     quality level GOOD = 65.87%  (247)
+imixs-ml-training_1  |   ......      quality level LOW = 34.13%  (128)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 1.705957084193204
+imixs-ml-training_1  | |#]
+imixs-ml-training_1  | 
+
+page=0 (count=1000)
+--------------------------------
+imixs-ml-training_1  |   
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 67.47%  (506)
+imixs-ml-training_1  |   ......      quality level LOW = 32.53%  (244)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 3.2147245242951565
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 68.8%  (516)
+imixs-ml-training_1  |   ......      quality level LOW = 31.07%  (233)
+imixs-ml-training_1  |   ......      quality level BAD = 0.13%  (1)
+imixs-ml-training_1  |   ......            average NER = 2.2084385109690565
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 67.73%  (508)
+imixs-ml-training_1  |   ......      quality level LOW = 32.27%  (242)
+imixs-ml-training_1  |   ......      quality level BAD = 0%  (0)
+imixs-ml-training_1  |   ......            average NER = 2.1797281610496464
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 67.2%  (504)
+imixs-ml-training_1  |   ......      quality level LOW = 32.67%  (245)
+imixs-ml-training_1  |   ......      quality level BAD = 0.13%  (1)
+imixs-ml-training_1  |   ......            average NER = 1.8908819163368502
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 66%  (495)
+imixs-ml-training_1  |   ......      quality level LOW = 33.87%  (254)
+imixs-ml-training_1  |   ......      quality level BAD = 0.13%  (1)
+imixs-ml-training_1  |   ......            average NER = 1.7774978150912477
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 67.6%  (507)
+imixs-ml-training_1  |   ......      quality level LOW = 32.27%  (242)
+imixs-ml-training_1  |   ......      quality level BAD = 0.13%  (1)
+imixs-ml-training_1  |   ......            average NER = 1.669098427922433
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 67.33%  (505)
+imixs-ml-training_1  |   ......      quality level LOW = 32.53%  (244)
+imixs-ml-training_1  |   ......      quality level BAD = 0.13%  (1)
+imixs-ml-training_1  |   ......            average NER = 1.6048149396167861
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 67.6%  (507)
+imixs-ml-training_1  |   ......      quality level LOW = 32.27%  (242)
+imixs-ml-training_1  |   ......      quality level BAD = 0.13%  (1)
+imixs-ml-training_1  |   ......            average NER = 1.4026393956412981
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 67.87%  (509)
+imixs-ml-training_1  |   ......      quality level LOW = 32%  (240)
+imixs-ml-training_1  |   ......      quality level BAD = 0.13%  (1)
+imixs-ml-training_1  |   ......            average NER = 1.1139796046407426
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 65.87%  (494)
+imixs-ml-training_1  |   ......      quality level LOW = 34%  (255)
+imixs-ml-training_1  |   ......      quality level BAD = 0.13%  (1)
+imixs-ml-training_1  |   ......            average NER = 1.2621875029460226
+
+
+
+page=1 (count=1000)
+--------------------------------
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 63.47%  (476)
+imixs-ml-training_1  |   ......      quality level LOW = 36.4%  (273)
+imixs-ml-training_1  |   ......      quality level BAD = 0.13%  (1)
+imixs-ml-training_1  |   ......            average NER = 3.7501272727903876
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 64%  (480)
+imixs-ml-training_1  |   ......      quality level LOW = 35.87%  (269)
+imixs-ml-training_1  |   ......      quality level BAD = 0.13%  (1)
+imixs-ml-training_1  |   ......            average NER = 2.7749715296165482
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 65.47%  (491)
+imixs-ml-training_1  |   ......      quality level LOW = 34.27%  (257)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (2)
+imixs-ml-training_1  |   ......            average NER = 2.191986221088383
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 63.2%  (474)
+imixs-ml-training_1  |   ......      quality level LOW = 36.53%  (274)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (2)
+imixs-ml-training_1  |   ......            average NER = 1.836000005105162
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 64.8%  (486)
+imixs-ml-training_1  |   ......      quality level LOW = 34.93%  (262)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (2)
+imixs-ml-training_1  |   ......            average NER = 1.629252182245437
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 64.27%  (482)
+imixs-ml-training_1  |   ......      quality level LOW = 35.47%  (266)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (2)
+imixs-ml-training_1  |   ......            average NER = 1.5023185259959349
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 63.6%  (477)
+imixs-ml-training_1  |   ......      quality level LOW = 36.13%  (271)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (2)
+imixs-ml-training_1  |   ......            average NER = 1.1618358977500587
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 64.93%  (487)
+imixs-ml-training_1  |   ......      quality level LOW = 34.93%  (262)
+imixs-ml-training_1  |   ......      quality level BAD = 0.13%  (1)
+imixs-ml-training_1  |   ......            average NER = 1.1362052688492958
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 64.4%  (483)
+imixs-ml-training_1  |   ......      quality level LOW = 35.33%  (265)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (2)
+imixs-ml-training_1  |   ......            average NER = 1.0497074333838767
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 65.33%  (490)
+imixs-ml-training_1  |   ......      quality level LOW = 34.4%  (258)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (2)
+imixs-ml-training_1  |   ......            average NER = 0.8865013575787167
+
+page=1 (count=1000) 
+--------------------------------
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 63.33%  (475)
+imixs-ml-training_1  |   ......      quality level LOW = 36.4%  (273)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (2)
+imixs-ml-training_1  |   ......            average NER = 1.6325150460009787
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 61.73%  (463)
+imixs-ml-training_1  |   ......      quality level LOW = 38%  (285)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (2)
+imixs-ml-training_1  |   ......            average NER = 1.5385085364524884
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 63.6%  (477)
+imixs-ml-training_1  |   ......      quality level LOW = 36.13%  (271)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (2)
+imixs-ml-training_1  |   ......            average NER = 1.343965340697668
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 64.13%  (481)
+imixs-ml-training_1  |   ......      quality level LOW = 35.73%  (268)
+imixs-ml-training_1  |   ......      quality level BAD = 0.13%  (1)
+imixs-ml-training_1  |   ......            average NER = 1.1842750119930687
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 63.73%  (478)
+imixs-ml-training_1  |   ......      quality level LOW = 36%  (270)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (2)
+imixs-ml-training_1  |   ......            average NER = 1.112559219903824
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 62.8%  (471)
+imixs-ml-training_1  |   ......      quality level LOW = 36.93%  (277)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (2)
+imixs-ml-training_1  |   ......            average NER = 0.9444137586901881
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 64%  (480)
+imixs-ml-training_1  |   ......      quality level LOW = 35.73%  (268)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (2)
+imixs-ml-training_1  |   ......            average NER = 0.9175624525798468
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 63.47%  (476)
+imixs-ml-training_1  |   ......      quality level LOW = 36.27%  (272)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (2)
+imixs-ml-training_1  |   ......            average NER = 0.8877949306723629
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 62.53%  (469)
+imixs-ml-training_1  |   ......      quality level LOW = 37.2%  (279)
+imixs-ml-training_1  |   ......      quality level BAD = 0.27%  (2)
+imixs-ml-training_1  |   ......            average NER = 0.7669201996298972
+imixs-ml-training_1  | 
+imixs-ml-training_1  | ......documents trained in total = 750
+imixs-ml-training_1  |   ......     quality level GOOD = 62.8%  (471)
+imixs-ml-training_1  |   ......      quality level LOW = 37.07%  (278)
+imixs-ml-training_1  |   ......      quality level BAD = 0.13%  (1)
+imixs-ml-training_1  |   ......            average NER = 0.7161310708827515
--- a/models/invoice-de-0.1.0/config.cfg
+++ b/models/invoice-de-0.1.0/config.cfg
@ -0,0 +1,128 @@
+[paths]
+train = null
+dev = null
+vectors = null
+init_tok2vec = null
+
+[system]
+seed = 0
+gpu_allocator = null
+
+[nlp]
+lang = "de"
+pipeline = ["ner"]
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+batch_size = 1000
+tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+
+[components]
+
+[components.ner]
+factory = "ner"
+incorrect_spans_key = null
+moves = null
+scorer = {"@scorers":"spacy.ner_scorer.v1"}
+update_with_oracle_cut_size = 100
+
+[components.ner.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "ner"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 2
+use_upper = true
+nO = null
+
+[components.ner.model.tok2vec]
+@architectures = "spacy.HashEmbedCNN.v2"
+pretrained_vectors = null
+width = 96
+depth = 4
+embed_size = 2000
+window_size = 1
+maxout_pieces = 3
+subword_features = true
+
+[corpora]
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths.train}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[training]
+seed = ${system.seed}
+gpu_allocator = ${system.gpu_allocator}
+dropout = 0.1
+accumulate_gradient = 1
+patience = 1600
+max_epochs = 0
+max_steps = 20000
+eval_frequency = 200
+frozen_components = []
+annotating_components = []
+dev_corpus = "corpora.dev"
+train_corpus = "corpora.train"
+before_to_disk = null
+
+[training.batcher]
+@batchers = "spacy.batch_by_words.v1"
+discard_oversize = false
+tolerance = 0.2
+get_length = null
+
+[training.batcher.size]
+@schedules = "compounding.v1"
+start = 100
+stop = 1000
+compound = 1.001
+t = 0.0
+
+[training.logger]
+@loggers = "spacy.ConsoleLogger.v1"
+progress_bar = false
+
+[training.optimizer]
+@optimizers = "Adam.v1"
+beta1 = 0.9
+beta2 = 0.999
+L2_is_weight_decay = true
+L2 = 0.01
+grad_clip = 1.0
+use_averages = false
+eps = 0.00000001
+learn_rate = 0.001
+
+[training.score_weights]
+ents_f = 1.0
+ents_p = 0.0
+ents_r = 0.0
+ents_per_type = null
+
+[pretraining]
+
+[initialize]
+vectors = ${paths.vectors}
+init_tok2vec = ${paths.init_tok2vec}
+vocab_data = null
+lookups = null
+before_init = null
+after_init = null
+
+[initialize.components]
+
+[initialize.tokenizer]
--- a/models/invoice-de-0.1.0/meta.json
+++ b/models/invoice-de-0.1.0/meta.json
@ -0,0 +1,38 @@
+{
+  "lang":"de",
+  "name":"pipeline",
+  "version":"0.0.0",
+  "spacy_version":">=3.4.1,<3.5.0",
+  "description":"",
+  "author":"",
+  "email":"",
+  "url":"",
+  "license":"",
+  "spacy_git_version":"Unknown",
+  "vectors":{
+    "width":0,
+    "vectors":0,
+    "keys":0,
+    "name":null,
+    "mode":"default"
+  },
+  "labels":{
+    "ner":[
+      "cdtr.bic",
+      "cdtr.iban",
+      "cdtr.name",
+      "invoice.date",
+      "invoice.number",
+      "invoice.total"
+    ]
+  },
+  "pipeline":[
+    "ner"
+  ],
+  "components":[
+    "ner"
+  ],
+  "disabled":[
+
+  ]
+}
--- a/models/invoice-de-0.1.0/ner/cfg
+++ b/models/invoice-de-0.1.0/ner/cfg
@ -0,0 +1,13 @@
+{
+  "moves":null,
+  "update_with_oracle_cut_size":100,
+  "multitasks":[
+
+  ],
+  "min_action_freq":1,
+  "learn_tokens":false,
+  "beam_width":1,
+  "beam_density":0.0,
+  "beam_update_prob":0.0,
+  "incorrect_spans_key":null
+}
--- a/models/invoice-de-0.1.0/ner/model
+++ b/models/invoice-de-0.1.0/ner/model
--- a/models/invoice-de-0.1.0/ner/moves
+++ b/models/invoice-de-0.1.0/ner/moves
@ -0,0 +1 @@
+‚¥movesÚÄ{"0":{},"1":{"invoice.total":-1,"invoice.number":-2,"cdtr.name":-3,"invoice.date":-4,"cdtr.iban":-5,"cdtr.bic":-6},"2":{"invoice.total":-1,"invoice.number":-2,"cdtr.name":-3,"invoice.date":-4,"cdtr.iban":-5,"cdtr.bic":-6},"3":{"invoice.total":-1,"invoice.number":-2,"cdtr.name":-3,"invoice.date":-4,"cdtr.iban":-5,"cdtr.bic":-6},"4":{"":1,"invoice.total":-1,"invoice.number":-2,"cdtr.name":-3,"invoice.date":-4,"cdtr.iban":-5,"cdtr.bic":-6},"5":{"":1}}£cfg<66>§neg_keyÀ
--- a/models/invoice-de-0.1.0/tokenizer
+++ b/models/invoice-de-0.1.0/tokenizer
--- a/models/invoice-de-0.1.0/vocab/key2row
+++ b/models/invoice-de-0.1.0/vocab/key2row
@ -0,0 +1 @@
+<EFBFBD>
--- a/models/invoice-de-0.1.0/vocab/lookups.bin
+++ b/models/invoice-de-0.1.0/vocab/lookups.bin
@ -0,0 +1 @@
+<EFBFBD>
--- a/models/invoice-de-0.1.0/vocab/strings.json
+++ b/models/invoice-de-0.1.0/vocab/strings.json
--- a/models/invoice-de-0.1.0/vocab/vectors
+++ b/models/invoice-de-0.1.0/vocab/vectors
--- a/models/invoice-de-0.1.0/vocab/vectors.cfg
+++ b/models/invoice-de-0.1.0/vocab/vectors.cfg
@ -0,0 +1,3 @@
+{
+  "mode":"default"
+}
--- a/models/invoice-de-0.1.0_2022_01_01/config.cfg
+++ b/models/invoice-de-0.1.0_2022_01_01/config.cfg
@ -0,0 +1,127 @@
+[paths]
+train = null
+dev = null
+vectors = null
+init_tok2vec = null
+
+[system]
+seed = 0
+gpu_allocator = null
+
+[nlp]
+lang = "de"
+pipeline = ["ner"]
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+batch_size = 1000
+tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+
+[components]
+
+[components.ner]
+factory = "ner"
+incorrect_spans_key = null
+moves = null
+update_with_oracle_cut_size = 100
+
+[components.ner.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "ner"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 2
+use_upper = true
+nO = null
+
+[components.ner.model.tok2vec]
+@architectures = "spacy.HashEmbedCNN.v2"
+pretrained_vectors = null
+width = 96
+depth = 4
+embed_size = 2000
+window_size = 1
+maxout_pieces = 3
+subword_features = true
+
+[corpora]
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths.train}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[training]
+seed = ${system.seed}
+gpu_allocator = ${system.gpu_allocator}
+dropout = 0.1
+accumulate_gradient = 1
+patience = 1600
+max_epochs = 0
+max_steps = 20000
+eval_frequency = 200
+frozen_components = []
+annotating_components = []
+dev_corpus = "corpora.dev"
+train_corpus = "corpora.train"
+before_to_disk = null
+
+[training.batcher]
+@batchers = "spacy.batch_by_words.v1"
+discard_oversize = false
+tolerance = 0.2
+get_length = null
+
+[training.batcher.size]
+@schedules = "compounding.v1"
+start = 100
+stop = 1000
+compound = 1.001
+t = 0.0
+
+[training.logger]
+@loggers = "spacy.ConsoleLogger.v1"
+progress_bar = false
+
+[training.optimizer]
+@optimizers = "Adam.v1"
+beta1 = 0.9
+beta2 = 0.999
+L2_is_weight_decay = true
+L2 = 0.01
+grad_clip = 1.0
+use_averages = false
+eps = 0.00000001
+learn_rate = 0.001
+
+[training.score_weights]
+ents_f = 1.0
+ents_p = 0.0
+ents_r = 0.0
+ents_per_type = null
+
+[pretraining]
+
+[initialize]
+vectors = ${paths.vectors}
+init_tok2vec = ${paths.init_tok2vec}
+vocab_data = null
+lookups = null
+before_init = null
+after_init = null
+
+[initialize.components]
+
+[initialize.tokenizer]
--- a/models/invoice-de-0.1.0_2022_01_01/meta.json
+++ b/models/invoice-de-0.1.0_2022_01_01/meta.json
@ -0,0 +1,40 @@
+{
+  "lang":"de",
+  "name":"pipeline",
+  "version":"0.0.0",
+  "spacy_version":">=3.1.1,<3.2.0",
+  "description":"",
+  "author":"",
+  "email":"",
+  "url":"",
+  "license":"",
+  "spacy_git_version":"ffaead8fe",
+  "vectors":{
+    "width":0,
+    "vectors":0,
+    "keys":0,
+    "name":null
+  },
+  "labels":{
+    "ner":[
+      "cdtr.bic",
+      "cdtr.iban",
+      "cdtr.name",
+      "invoice.date",
+      "invoice.number",
+      "invoice.total"
+    ]
+  },
+  "pipeline":[
+    "ner"
+  ],
+  "components":[
+    "ner"
+  ],
+  "disabled":[
+
+  ],
+  "_sourced_vectors_hashes":{
+
+  }
+}
--- a/models/invoice-de-0.1.0_2022_01_01/ner/cfg
+++ b/models/invoice-de-0.1.0_2022_01_01/ner/cfg
@ -0,0 +1,13 @@
+{
+  "moves":null,
+  "update_with_oracle_cut_size":100,
+  "multitasks":[
+
+  ],
+  "min_action_freq":1,
+  "learn_tokens":false,
+  "beam_width":1,
+  "beam_density":0.0,
+  "beam_update_prob":0.0,
+  "incorrect_spans_key":null
+}
--- a/models/invoice-de-0.1.0_2022_01_01/ner/model
+++ b/models/invoice-de-0.1.0_2022_01_01/ner/model
--- a/models/invoice-de-0.1.0_2022_01_01/ner/moves
+++ b/models/invoice-de-0.1.0_2022_01_01/ner/moves
@ -0,0 +1 @@
+‚¥movesÚÄ{"0":{},"1":{"cdtr.name":-1,"cdtr.iban":-2,"cdtr.bic":-3,"invoice.total":-4,"invoice.date":-5,"invoice.number":-6},"2":{"cdtr.name":-1,"cdtr.iban":-2,"cdtr.bic":-3,"invoice.total":-4,"invoice.date":-5,"invoice.number":-6},"3":{"cdtr.name":-1,"cdtr.iban":-2,"cdtr.bic":-3,"invoice.total":-4,"invoice.date":-5,"invoice.number":-6},"4":{"":1,"cdtr.name":-1,"cdtr.iban":-2,"cdtr.bic":-3,"invoice.total":-4,"invoice.date":-5,"invoice.number":-6},"5":{"":1}}£cfg<66>§neg_keyÀ
--- a/models/invoice-de-0.1.0_2022_01_01/tokenizer
+++ b/models/invoice-de-0.1.0_2022_01_01/tokenizer
--- a/models/invoice-de-0.1.0_2022_01_01/vocab/key2row
+++ b/models/invoice-de-0.1.0_2022_01_01/vocab/key2row
@ -0,0 +1 @@
+<EFBFBD>
--- a/models/invoice-de-0.1.0_2022_01_01/vocab/lookups.bin
+++ b/models/invoice-de-0.1.0_2022_01_01/vocab/lookups.bin
@ -0,0 +1 @@
+<EFBFBD>
--- a/models/invoice-de-0.1.0_2022_01_01/vocab/strings.json
+++ b/models/invoice-de-0.1.0_2022_01_01/vocab/strings.json
--- a/models/invoice-de-0.1.0_2022_01_01/vocab/vectors
+++ b/models/invoice-de-0.1.0_2022_01_01/vocab/vectors
--- a/models/invoice-de-0.2.0/config.cfg
+++ b/models/invoice-de-0.2.0/config.cfg
@ -0,0 +1,128 @@
+[paths]
+train = null
+dev = null
+vectors = null
+init_tok2vec = null
+
+[system]
+seed = 0
+gpu_allocator = null
+
+[nlp]
+lang = "de"
+pipeline = ["ner"]
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+batch_size = 1000
+tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+
+[components]
+
+[components.ner]
+factory = "ner"
+incorrect_spans_key = null
+moves = null
+scorer = {"@scorers":"spacy.ner_scorer.v1"}
+update_with_oracle_cut_size = 100
+
+[components.ner.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "ner"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 2
+use_upper = true
+nO = null
+
+[components.ner.model.tok2vec]
+@architectures = "spacy.HashEmbedCNN.v2"
+pretrained_vectors = null
+width = 96
+depth = 4
+embed_size = 2000
+window_size = 1
+maxout_pieces = 3
+subword_features = true
+
+[corpora]
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths.train}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[training]
+seed = ${system.seed}
+gpu_allocator = ${system.gpu_allocator}
+dropout = 0.1
+accumulate_gradient = 1
+patience = 1600
+max_epochs = 0
+max_steps = 20000
+eval_frequency = 200
+frozen_components = []
+annotating_components = []
+dev_corpus = "corpora.dev"
+train_corpus = "corpora.train"
+before_to_disk = null
+
+[training.batcher]
+@batchers = "spacy.batch_by_words.v1"
+discard_oversize = false
+tolerance = 0.2
+get_length = null
+
+[training.batcher.size]
+@schedules = "compounding.v1"
+start = 100
+stop = 1000
+compound = 1.001
+t = 0.0
+
+[training.logger]
+@loggers = "spacy.ConsoleLogger.v1"
+progress_bar = false
+
+[training.optimizer]
+@optimizers = "Adam.v1"
+beta1 = 0.9
+beta2 = 0.999
+L2_is_weight_decay = true
+L2 = 0.01
+grad_clip = 1.0
+use_averages = false
+eps = 0.00000001
+learn_rate = 0.001
+
+[training.score_weights]
+ents_f = 1.0
+ents_p = 0.0
+ents_r = 0.0
+ents_per_type = null
+
+[pretraining]
+
+[initialize]
+vectors = ${paths.vectors}
+init_tok2vec = ${paths.init_tok2vec}
+vocab_data = null
+lookups = null
+before_init = null
+after_init = null
+
+[initialize.components]
+
+[initialize.tokenizer]
--- a/models/invoice-de-0.2.0/meta.json
+++ b/models/invoice-de-0.2.0/meta.json
@ -0,0 +1,38 @@
+{
+  "lang":"de",
+  "name":"pipeline",
+  "version":"0.0.0",
+  "spacy_version":">=3.4.1,<3.5.0",
+  "description":"",
+  "author":"",
+  "email":"",
+  "url":"",
+  "license":"",
+  "spacy_git_version":"Unknown",
+  "vectors":{
+    "width":0,
+    "vectors":0,
+    "keys":0,
+    "name":null,
+    "mode":"default"
+  },
+  "labels":{
+    "ner":[
+      "cdtr.bic",
+      "cdtr.iban",
+      "cdtr.name",
+      "invoice.date",
+      "invoice.number",
+      "invoice.total"
+    ]
+  },
+  "pipeline":[
+    "ner"
+  ],
+  "components":[
+    "ner"
+  ],
+  "disabled":[
+
+  ]
+}
--- a/models/invoice-de-0.2.0/ner/cfg
+++ b/models/invoice-de-0.2.0/ner/cfg
@ -0,0 +1,13 @@
+{
+  "moves":null,
+  "update_with_oracle_cut_size":100,
+  "multitasks":[
+
+  ],
+  "min_action_freq":1,
+  "learn_tokens":false,
+  "beam_width":1,
+  "beam_density":0.0,
+  "beam_update_prob":0.0,
+  "incorrect_spans_key":null
+}
--- a/models/invoice-de-0.2.0/ner/model
+++ b/models/invoice-de-0.2.0/ner/model
--- a/models/invoice-de-0.2.0/ner/moves
+++ b/models/invoice-de-0.2.0/ner/moves
@ -0,0 +1 @@
+‚¥movesÚÄ{"0":{},"1":{"invoice.total":-1,"invoice.number":-2,"invoice.date":-3,"cdtr.name":-4,"cdtr.iban":-5,"cdtr.bic":-6},"2":{"invoice.total":-1,"invoice.number":-2,"invoice.date":-3,"cdtr.name":-4,"cdtr.iban":-5,"cdtr.bic":-6},"3":{"invoice.total":-1,"invoice.number":-2,"invoice.date":-3,"cdtr.name":-4,"cdtr.iban":-5,"cdtr.bic":-6},"4":{"":1,"invoice.total":-1,"invoice.number":-2,"invoice.date":-3,"cdtr.name":-4,"cdtr.iban":-5,"cdtr.bic":-6},"5":{"":1}}£cfg<66>§neg_keyÀ
--- a/models/invoice-de-0.2.0/tokenizer
+++ b/models/invoice-de-0.2.0/tokenizer
--- a/models/invoice-de-0.2.0/vocab/key2row
+++ b/models/invoice-de-0.2.0/vocab/key2row
@ -0,0 +1 @@
+<EFBFBD>
--- a/models/invoice-de-0.2.0/vocab/lookups.bin
+++ b/models/invoice-de-0.2.0/vocab/lookups.bin
@ -0,0 +1 @@
+<EFBFBD>
--- a/models/invoice-de-0.2.0/vocab/strings.json
+++ b/models/invoice-de-0.2.0/vocab/strings.json
--- a/models/invoice-de-0.2.0/vocab/vectors
+++ b/models/invoice-de-0.2.0/vocab/vectors
--- a/models/invoice-de-0.2.0/vocab/vectors.cfg
+++ b/models/invoice-de-0.2.0/vocab/vectors.cfg
@ -0,0 +1,3 @@
+{
+  "mode":"default"
+}
--- a/models/model-analyze-prod.xml
+++ b/models/model-analyze-prod.xml
@ -0,0 +1,44 @@
+<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
+<document xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+	xmlns:xs="http://www.w3.org/2001/XMLSchema">
+	
+	<!-- Workflow Instance -->
+	<item name="workflow.endpoint"><value xsi:type="xs:string">https://alexander-logistics.office-workflow.de/api/</value></item>
+	<item name="workflow.userid"><value xsi:type="xs:string">admin</value></item>
+	<item name="workflow.password"><value xsi:type="xs:string">imixs4.null</value></item>
+
+	<!--   -->	
+	<item name="workflow.query"><value xsi:type="xs:string">($workflowgroup:"Rechnungseingang" OR $workflowgroup:"Sachrechnung") AND ($taskid:5900)</value></item>
+
+	<item name="workflow.pagesize"><value xsi:type="xs:int">100</value></item>
+	<item name="workflow.pageindex"><value xsi:type="xs:int">30</value></item>
+	<item name="workflow.entities">
+		<value xsi:type="xs:string">cdtr.name</value>
+		<value xsi:type="xs:string">cdtr.iban</value>
+		<value xsi:type="xs:string">cdtr.bic</value>
+		<value xsi:type="xs:string">invoice.total</value>
+		<value xsi:type="xs:string">invoice.date</value>
+		<value xsi:type="xs:string">invoice.number</value>
+	</item>
+	<item name="workflow.locale">
+		<value xsi:type="xs:string">en_GB</value>
+		<value xsi:type="xs:string">en_US</value>		
+		<value xsi:type="xs:string">de_DE</value>
+	</item>
+	
+	<!-- Tika OCR Server  -->
+	<item name="tika.ocrmode"><value xsi:type="xs:string">OCR_ONLY</value></item>
+	<item name="tika.options">
+		<value xsi:type="xs:string">X-Tika-OCRLanguage=eng+deu</value>
+		<value xsi:type="xs:string">X-Tika-PDFocrStrategy=OCR_ONLY</value>		
+	</item>
+
+	<!-- ML spaCy Server -->
+	<item name="ml.validation.endpoint"><value xsi:type="xs:string">http://imixs-ml-spacy:8000/</value></item>
+	<item name="ml.validation.model"><value xsi:type="xs:string">invoice-de-0.1.0</value></item>
+	<item name="ml.validation.filepattern"><value xsi:type="xs:string">.pdf|.PDF</value></item>
+	
+</document>
+
+
+
--- a/models/model-train-prod.xml
+++ b/models/model-train-prod.xml
@ -0,0 +1,53 @@
+<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
+<document xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+	xmlns:xs="http://www.w3.org/2001/XMLSchema">
+	
+	<!-- Workflow Instance -->
+	<item name="workflow.endpoint"><value xsi:type="xs:string">https://alexander-logistics.office-workflow.de/api/</value></item>
+	<item name="workflow.userid"><value xsi:type="xs:string">admin</value></item>
+	<item name="workflow.password"><value xsi:type="xs:string">imixs4.null</value></item>
+
+	<item name="workflow.entities">
+		<value xsi:type="xs:string">cdtr.name</value>
+		<value xsi:type="xs:string">cdtr.iban</value>
+		<value xsi:type="xs:string">cdtr.bic</value>
+		<value xsi:type="xs:string">invoice.total</value>
+		<value xsi:type="xs:string">invoice.date</value>
+		<value xsi:type="xs:string">invoice.number</value>
+	</item>
+	<item name="workflow.locale">
+		<value xsi:type="xs:string">en_GB</value>
+		<value xsi:type="xs:string">en_US</value>		
+		<value xsi:type="xs:string">de_DE</value>
+	</item>
+	
+	<!-- Tika OCR Server  -->
+	<item name="tika.ocrmode"><value xsi:type="xs:string">OCR_ONLY</value></item>
+	<item name="tika.options">
+		<value xsi:type="xs:string">X-Tika-OCRLanguage=eng+deu</value>
+		<value xsi:type="xs:string">X-Tika-PDFocrStrategy=OCR_ONLY</value>		
+	</item>
+
+	<!-- ML spaCy Server -->
+	<item name="ml.training.endpoint"><value xsi:type="xs:string">http://imixs-ml-spacy:8000/</value></item>
+	<item name="ml.training.model"><value xsi:type="xs:string">invoice-de-0.2.0</value></item>
+	<item name="ml.training.filepattern"><value xsi:type="xs:string">.pdf|.PDF</value></item>
+        <!-- LOW | GOOD -->
+	<item name="ml.training.quality"><value xsi:type="xs:string">LOW</value></item>
+
+	
+	<!-- Define the training set and taining mode -->
+	<item name="workflow.query"><value xsi:type="xs:string">($workflowgroup:"Rechnungseingang" OR $workflowgroup:"Sachrechnung") AND ($taskid:5900)</value></item>	  
+	<item name="workflow.pagesize"><value xsi:type="xs:int">1000</value></item>
+	<item name="workflow.pageindex"><value xsi:type="xs:int">0</value></item>
+	<item name="ml.training.iterations"><value xsi:type="xs:string">5</value></item>
+	<item name="ml.training.dropoutrate"><value xsi:type="xs:string">0.0</value></item>
+	<item name="ml.options">
+		<value xsi:type="xs:string">min_losses=0.0&amp;retrain_rate=100</value>
+	</item>
+
+
+</document>
+
+
+
--- a/models/model-valiate-prod.xml
+++ b/models/model-valiate-prod.xml
@ -0,0 +1,48 @@
+<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
+<document xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+	xmlns:xs="http://www.w3.org/2001/XMLSchema">
+	
+	<!-- Workflow Instance -->
+	<item name="workflow.endpoint"><value xsi:type="xs:string">https://alexander-logistics.office-workflow.de/api/</value></item>
+	<item name="workflow.userid"><value xsi:type="xs:string">admin</value></item>
+	<item name="workflow.password"><value xsi:type="xs:string">imixs4.null</value></item>
+
+	<item name="workflow.entities">
+		<value xsi:type="xs:string">cdtr.name</value>
+		<value xsi:type="xs:string">cdtr.iban</value>
+		<value xsi:type="xs:string">cdtr.bic</value>
+		<value xsi:type="xs:string">invoice.total</value>
+		<value xsi:type="xs:string">invoice.date</value>
+		<value xsi:type="xs:string">invoice.number</value>
+	</item>
+	<item name="workflow.locale">
+		<value xsi:type="xs:string">en_GB</value>
+		<value xsi:type="xs:string">en_US</value>		
+		<value xsi:type="xs:string">de_DE</value>
+	</item>
+	
+	<!-- Tika OCR Server  -->
+	<item name="tika.ocrmode"><value xsi:type="xs:string">OCR_ONLY</value></item>
+	<item name="tika.options">
+		<value xsi:type="xs:string">X-Tika-OCRLanguage=eng+deu</value>
+		<value xsi:type="xs:string">X-Tika-PDFocrStrategy=OCR_ONLY</value>		
+	</item>
+
+	<!-- ML spaCy Server -->
+	<item name="ml.training.endpoint"><value xsi:type="xs:string">http://imixs-ml-spacy:8000/</value></item>
+	<item name="ml.training.model"><value xsi:type="xs:string">invoice-de-0.2.0</value></item>
+	<item name="ml.training.filepattern"><value xsi:type="xs:string">.pdf|.PDF</value></item>
+        <!-- LOW | GOOD -->
+	<item name="ml.training.quality"><value xsi:type="xs:string">LOW</value></item>
+
+	
+	<!-- Define the training set and taining mode -->
+	<item name="workflow.query"><value xsi:type="xs:string">($workflowgroup:"Rechnungseingang" OR $workflowgroup:"Sachrechnung") AND ($taskid:5900)</value></item>	  
+	<item name="workflow.pagesize"><value xsi:type="xs:int">100</value></item>
+	<item name="workflow.pageindex"><value xsi:type="xs:int">40</value></item>
+
+
+</document>
+
+
+
--- a/office-alexander-logistics-app/.gitignore
+++ b/office-alexander-logistics-app/.gitignore
@ -0,0 +1 @@
+/target/
--- a/office-alexander-logistics-app/pom.xml
+++ b/office-alexander-logistics-app/pom.xml
@ -0,0 +1,430 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+	xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+	<modelVersion>4.0.0</modelVersion>
+	<parent>
+		<artifactId>office-alexander-logistics</artifactId>
+		<groupId>com.alexander-logistics</groupId>
+		<version>1.3.5</version>
+	</parent>
+	<artifactId>office-alexander-logistics-app</artifactId>
+	<packaging>war</packaging>
+	<name>Imixs Office Workflow App</name>
+
+	<profiles>
+		<profile>
+			<id>docker</id>
+			<build>
+				<plugins>
+					<plugin>
+						<groupId>org.apache.maven.plugins</groupId>
+						<artifactId>maven-antrun-plugin</artifactId>
+						<version>1.8</version>
+						<executions>
+							<execution>
+								<phase>install</phase>
+								<configuration>
+									<target>
+										<exec executable="docker">
+											<arg value="build" />
+											<arg value="-t" />
+											<arg value="imixs/${imixs-office.applicationname}" />
+											<arg value="../." />
+										</exec>
+									</target>
+								</configuration>
+								<goals>
+									<goal>run</goal>
+								</goals>
+							</execution>
+						</executions>
+					</plugin>
+
+				</plugins>
+			</build>
+		</profile>
+
+		<profile>
+			<id>debug</id>
+			<build>
+				<plugins>
+					<plugin>
+						<groupId>org.apache.maven.plugins</groupId>
+						<artifactId>maven-antrun-plugin</artifactId>
+						<version>1.8</version>
+						<executions>
+							<execution>
+								<phase>install</phase>
+								<configuration>
+									<target>
+										<exec executable="docker">
+											<arg value="build" />
+											<arg value="-f" />
+											<arg value="../Dockerfile-wildfly-debug" />
+											<arg value="-t" />
+											<arg value="imixs/${imixs-office.applicationname}" />
+											<arg value="../." />
+										</exec>
+									</target>
+								</configuration>
+								<goals>
+									<goal>run</goal>
+								</goals>
+							</execution>
+						</executions>
+					</plugin>
+
+				</plugins>
+			</build>
+		</profile>
+
+		<profile>
+			<id>kubernetes</id>
+			<build>
+				<plugins>
+					<plugin>
+						<groupId>org.apache.maven.plugins</groupId>
+						<artifactId>maven-antrun-plugin</artifactId>
+						<version>1.8</version>
+						<executions>
+							<execution>
+								<phase>install</phase>
+								<configuration>
+									<target>
+										<exec executable="docker">
+											<arg value="build" />
+											<arg value="-t" />
+											<arg
+												value="imixs/${imixs-office.applicationname}:${project.version}" />
+											<arg value="../." />
+										</exec>
+										<exec executable="docker">
+											<arg value="tag" />
+											<arg
+												value="imixs/${imixs-office.applicationname}:${project.version}" />
+											<arg
+												value="${org.imixs.kubernetes.registry}/imixs/${imixs-office.applicationname}:${project.version}" />
+										</exec>
+										<exec executable="docker">
+											<arg value="push" />
+											<arg
+												value="${org.imixs.kubernetes.registry}/imixs/${imixs-office.applicationname}:${project.version}" />
+										</exec>
+									</target>
+								</configuration>
+								<goals>
+									<goal>run</goal>
+								</goals>
+							</execution>
+						</executions>
+					</plugin>
+
+				</plugins>
+			</build>
+		</profile>
+	</profiles>
+	<build>
+		<testResources>
+			<testResource>
+				<directory>${basedir}/../reports</directory>
+			</testResource>
+			<testResource>
+				<directory>${basedir}/../workflow</directory>
+			</testResource>
+			<testResource>
+				<directory>${basedir}/src/test/resources</directory>
+			</testResource>
+		</testResources>
+
+		<plugins>
+			<plugin>
+				<artifactId>maven-war-plugin</artifactId>
+				<version>3.3.2</version>
+				<configuration>
+					<failOnMissingWebXml>false</failOnMissingWebXml>
+					<webResources>
+						<resource>
+							<filtering>true</filtering>
+							<!-- this is relative to the pom.xml directory -->
+							<directory>${custom.webResources}</directory>
+							<includes>
+								<include>**/WEB-INF/*</include>
+								<!-- include any other file types you want to filter -->
+							</includes>
+						</resource>
+					</webResources>
+					<workDirectory>target/overlay-war-folder</workDirectory>
+					<!-- We exclude libs form the parent WAR artifact -->
+					<overlays>
+						<overlay>
+							<groupId>org.imixs.workflow</groupId>
+							<artifactId>imixs-office-workflow-app</artifactId>
+							<excludes>
+								<exclude>WEB-INF/lib/*.jar</exclude>
+							</excludes>
+						</overlay>
+					</overlays>
+				</configuration>
+			</plugin>
+
+			<plugin>
+				<groupId>org.imixs.maven</groupId>
+				<artifactId>manik-hotdeploy-maven-plugin</artifactId>
+				<version>2.0.0</version>
+				<executions>
+					<execution>
+						<phase>install</phase>
+						<goals>
+							<goal>deploy</goal>
+						</goals>
+					</execution>
+				</executions>
+				<configuration>
+					<!-- List Source and Target folders for Autodeploy and Hotdeploy -->
+					<autodeployments>
+						<deployment>
+							<!-- wildcard deployment -->
+							<source>target/*.{war,ear,jar}</source>
+							<target>../docker/deployments/</target>
+							<unpack>true</unpack>
+						</deployment>
+					</autodeployments>
+					<hotdeployments>
+						<deployment>
+							<source>src/main/webapp</source>
+							<target>../docker/deployments/office-alexander-logistics.war</target>
+						</deployment>
+					</hotdeployments>
+
+				</configuration>
+
+			</plugin>
+
+
+		</plugins>
+	</build>
+
+
+	<dependencies>
+		<!-- Imixs Workflow -->
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-workflow-core</artifactId>
+			<type>jar</type>
+			<scope>compile</scope>
+		</dependency>
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-workflow-engine</artifactId>
+			<type>jar</type>
+			<scope>compile</scope>
+		</dependency>
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-workflow-jax-rs</artifactId>
+			<type>jar</type>
+			<scope>compile</scope>
+		</dependency>
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-workflow-faces</artifactId>
+			<type>jar</type>
+			<scope>compile</scope>
+		</dependency>
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-workflow-index-lucene</artifactId>
+			<scope>compile</scope>
+		</dependency>
+
+		<!-- Marty -->
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-marty</artifactId>
+			<type>jar</type>
+			<scope>compile</scope>
+		</dependency>
+
+		<!-- Imixs-Office-Workflow -->
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-office-workflow-app</artifactId>
+			<type>war</type>
+		</dependency>
+
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-office-workflow-util</artifactId>
+			<scope>compile</scope>
+		</dependency>
+
+		<!-- Imixs-Archive -->
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-archive-api</artifactId>
+			<scope>compile</scope>
+		</dependency>
+
+
+		<!-- Imixs Data -->
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-data-groups</artifactId>
+		</dependency>
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-data-views</artifactId>
+		</dependency>
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-data-documents</artifactId>
+			<scope>compile</scope>
+		</dependency>
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-data-importer</artifactId>
+			<scope>compile</scope>
+		</dependency>
+
+		<!-- SEPA Adapter -->
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-adapters-sepa</artifactId>
+			<scope>compile</scope>
+		</dependency>
+		<!-- DATEV Adapter -->
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-adapters-datev</artifactId>
+			<scope>compile</scope>
+		</dependency>
+		<!-- QR Code -->
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-adapters-qrcode</artifactId>
+			<scope>compile</scope>
+		</dependency>
+		<!-- POI Adapter -->
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-adapters-poi</artifactId>
+			<scope>compile</scope>
+		</dependency>
+		<dependency>
+			<groupId>org.imixs.workflow</groupId>
+			<artifactId>imixs-ai-workflow</artifactId>
+			<version>${org.imixs.ai.version}</version>
+			<scope>compile</scope>
+		</dependency>
+
+		<!-- E-Invoice -->
+		<dependency>
+			<groupId>org.imixs.util</groupId>
+			<artifactId>imixs-e-invoice</artifactId>
+			<version>${org.imixs.e-invoice.version}</version>
+		</dependency>
+
+		<!-- xsl 2.0 support for Reporting / Chart Diagrams -->
+		<dependency>
+			<groupId>net.sf.saxon</groupId>
+			<artifactId>Saxon-HE</artifactId>
+		</dependency>
+		<!-- Apache PDFBox -->
+		<dependency>
+			<groupId>org.apache.pdfbox</groupId>
+			<artifactId>pdfbox</artifactId>
+			<version>${apache.pdfbox.version}</version>
+			<scope>compile</scope>
+		</dependency>
+
+		<!-- Apache Commons FTP Client -->
+		<dependency>
+			<groupId>commons-net</groupId>
+			<artifactId>commons-net</artifactId>
+			<version>3.6</version>
+		</dependency>
+
+		<!-- Microsoft oauth token -->
+		<dependency>
+			<groupId>com.sun.mail</groupId>
+			<artifactId>javax.mail</artifactId>
+			<version>1.6.2</version>
+			<scope>test</scope>
+		</dependency>
+		<dependency>
+			<groupId>org.apache.httpcomponents</groupId>
+			<artifactId>httpclient</artifactId>
+			<version>4.5.10</version>
+			<scope>test</scope>
+		</dependency>
+		<dependency>
+			<groupId>com.fasterxml.jackson.core</groupId>
+			<artifactId>jackson-databind</artifactId>
+			<version>2.13.3</version>
+			<scope>test</scope>
+		</dependency>
+
+
+		<!-- JUnit Tests
+		<dependency>
+			<groupId>javax.json</groupId>
+			<artifactId>javax.json-api</artifactId>
+			<version>1.1</version>
+			<scope>test</scope>
+		</dependency>
+		<dependency>
+			<groupId>org.glassfish</groupId>
+			<artifactId>javax.json</artifactId>
+			<version>1.1</version>
+			<scope>test</scope>
+		</dependency>
+		 -->
+		<!-- JAX-RS 2.0 Test dependencies -->
+		<dependency>
+			<groupId>org.glassfish.jersey.core</groupId>
+			<artifactId>jersey-client</artifactId>
+			<version>3.1.2</version>
+			<scope>test</scope>
+		</dependency>
+		<dependency>
+			<groupId>org.apache.cxf</groupId>
+			<artifactId>cxf-rt-rs-client</artifactId>
+			<version>3.3.6</version>
+			<scope>test</scope>
+		</dependency>
+		<dependency>
+			<groupId>org.glassfish.jersey.inject</groupId>
+			<artifactId>jersey-hk2</artifactId>
+			<version>3.1.2</version>
+			<scope>test</scope>
+		</dependency>
+
+		<dependency>
+			<groupId>jakarta.ws.rs</groupId>
+			<artifactId>jakarta.ws.rs-api</artifactId>
+			<version>3.1.0</version>
+			<scope>test</scope>
+		</dependency>
+
+
+		<!-- KSeF 2.0 Client 
+		<dependency>
+			<groupId>pl.akmf.ksef-sdk</groupId>
+			<artifactId>ksef-client</artifactId>
+			<version>3.0.4</version>
+			<scope>test</scope>
+		</dependency>
+		-->
+
+	</dependencies>
+
+	<!-- 
+	<repositories>
+		<repository>
+			<id>github-cirfmf</id>
+			<url>https://maven.pkg.github.com/CIRFMF/ksef-client-java</url>
+		</repository>
+	</repositories>
+	-->
+</project>
--- a/office-alexander-logistics-app/src/main/deprecated/CargosoftController.java
+++ b/office-alexander-logistics-app/src/main/deprecated/CargosoftController.java
--- a/office-alexander-logistics-app/src/main/deprecated/DatevCargosoftImportAdapter.java
+++ b/office-alexander-logistics-app/src/main/deprecated/DatevCargosoftImportAdapter.java
--- a/office-alexander-logistics-app/src/main/deprecated/KreditorDebitorService.java
+++ b/office-alexander-logistics-app/src/main/deprecated/KreditorDebitorService.java
--- a/office-alexander-logistics-app/src/main/deprecated/KreditorSearchEntry.java
+++ b/office-alexander-logistics-app/src/main/deprecated/KreditorSearchEntry.java
--- a/office-alexander-logistics-app/src/main/deprecated/cargsoft-creditor-search.xhtml
+++ b/office-alexander-logistics-app/src/main/deprecated/cargsoft-creditor-search.xhtml
--- a/office-alexander-logistics-app/src/main/deprecated/cargsoft-debitor-search.xhtml
+++ b/office-alexander-logistics-app/src/main/deprecated/cargsoft-debitor-search.xhtml
--- a/office-alexander-logistics-app/src/main/deprecated/cdtreingabe.xhtml
+++ b/office-alexander-logistics-app/src/main/deprecated/cdtreingabe.xhtml
--- a/office-alexander-logistics-app/src/main/deprecated/debitor_search.xhtml
+++ b/office-alexander-logistics-app/src/main/deprecated/debitor_search.xhtml
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/AGLAnalyticControllerDebitor.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/AGLAnalyticControllerDebitor.java
@ -120,57 +120,55 @@ public class AGLAnalyticControllerDebitor implements Serializable {
            link = link + "&processref=" + process.getUniqueID() + "&phrase=" + getDbtNr();
        }
        if ("analytic.invoices.count.all".equals(event.getKey())) {
-            event.getData().setItemValue("value", countAll);
-            event.getData().setItemValue("label", formatTotals(totalAllCurrency1, totalAllCurrency2));
-            event.getData().setItemValue("description", "Total invoices");
-            event.getWorkitem().setItemValue("invoices.total", countAll);
-            event.getWorkitem().setItemValue("link", link);
+            event.setValue("" + countAll);
+            event.setLabel(formatTotals(totalAllCurrency1, totalAllCurrency2));
+            event.setDescription("Total invoices");
+            event.getWorkitem().setItemValue("invoices.total", event.getValue());
+            event.setLink(link);
        }

        if ("analytic.invoices.count.open".equals(event.getKey())) {
-            event.getData().setItemValue("value", "" + countOpen);
-            event.getData().setItemValue("label", formatTotals(totalOpenCurrency1, totalOpenCurrency2));
-            event.getData().setItemValue("description", "Total invoices not yet in due");
-            event.getWorkitem().setItemValue("invoices.total.open", countOpen);
-            event.getWorkitem().setItemValue("link", link);
+            event.setValue("" + countOpen);
+            event.setLabel(formatTotals(totalOpenCurrency1, totalOpenCurrency2));
+            event.setDescription("Total invoices not yet in due");
+            event.getWorkitem().setItemValue("invoices.total.open", event.getValue());
+            event.setLink(link);
        }

        if ("analytic.invoices.count.due".equals(event.getKey())) {
-            event.getData().setItemValue("value", "" + countDue);
-            event.getData().setItemValue("label", formatTotals(totalDueCurrency1, totalDueCurrency2));
-            event.getData().setItemValue("description", "Total invoices in due");
-            event.getWorkitem().setItemValue("invoices.total.due", countDue);
-            event.getWorkitem().setItemValue("link", link);
+            event.setValue("" + countDue);
+            event.setLabel(formatTotals(totalDueCurrency1, totalDueCurrency2));
+            event.setDescription("Total invoices in due");
+            event.getWorkitem().setItemValue("invoices.total.due", event.getValue());
+            event.setLink(link);
        }
-
        if ("analytic.invoices.count.dunning".equals(event.getKey())) {
-            event.getData().setItemValue("value", "" + countDunning);
-            event.getData().setItemValue("label", formatTotals(totalDunningCurrency1, totalDunningCurrency2));
-            event.getData().setItemValue("description", "Total invoices in dunning");
-            event.getWorkitem().setItemValue("invoices.total.dunning", countDunning);
-            event.getWorkitem().setItemValue("link", link);
+            event.setValue("" + countDunning);
+            event.setLabel(formatTotals(totalDunningCurrency1, totalDunningCurrency2));
+            event.setDescription("Total invoices in dunning");
+            event.getWorkitem().setItemValue("invoices.total.dunning", event.getValue());
+            event.setLink(link);
        }

        if ("analytic.payment.avg.due".equals(event.getKey())) {
-            event.getData().setItemValue("value", "" + averagePaymentDue);
-            event.getData().setItemValue("label", "days");
-            event.getData().setItemValue("description", "Average terms of credit in the last 12 months.");
-            event.getWorkitem().setItemValue("payment.avg.due", averagePaymentDue);
-            event.getWorkitem().setItemValue("link", link);
+            event.setValue("" + averagePaymentDue);
+            event.setLabel("days");
+            event.setDescription("Average terms of credit in the last 12 months.");
+            event.getWorkitem().setItemValue("payment.avg.due", event.getValue());
+            event.setLink(link);
        }
-
        if ("analytic.payment.avg.days".equals(event.getKey())) {
-            event.getData().setItemValue("value", "" + averagePaymentDays);
-            event.getData().setItemValue("label", "days");
-            event.getData().setItemValue("description", "Average duration for payment during the last 12 months.");
-            event.getWorkitem().setItemValue("payment.avg.days", averagePaymentDays);
-            event.getWorkitem().setItemValue("link", link);
+            event.setValue("" + averagePaymentDays);
+            event.setLabel("days");
+            event.setDescription("Average duration for payment during the last 12 months.");
+            event.getWorkitem().setItemValue("payment.avg.days", event.getValue());
+            event.setLink(link);
        }

        if ("analytic.invoices.trend".equals(event.getKey())) {
-            event.getData().setItemValue("value", chartData);
-            event.getData().setItemValue("label", "Payment duration in days");
-            event.getData().setItemValue("description", "Payment practice by week");
+            event.setValue(chartData);
+            event.setLabel("Payment duration in days");
+            event.setDescription("Payment practice by week");
        }
    }

--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/AGLAnalyticControllerOPListe.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/AGLAnalyticControllerOPListe.java
@ -100,39 +100,34 @@ public class AGLAnalyticControllerOPListe implements Serializable {
                    + "&spaceref=" + departmentID;
        }
        if ("analytic.invoices.count.all".equals(event.getKey())) {
-            event.getData().setItemValue("value", "" + countAll);
-            event.getData().setItemValue("label", resourceBundleHandler.findMessage("oplist.invoices"));
-            event.getData().setItemValue("description",
-                    resourceBundleHandler.findMessage("oplist.invoices.description.all"));
-            event.getWorkitem().setItemValue("invoices.total", countAll);
-            event.getWorkitem().setItemValue("link", link);
+            event.setValue("" + countAll);
+            event.setLabel(resourceBundleHandler.findMessage("oplist.invoices"));
+            event.setDescription(resourceBundleHandler.findMessage("oplist.invoices.description.all"));
+            event.getWorkitem().setItemValue("invoices.total", event.getValue());
+            event.setLink(link);
        }

        if ("analytic.invoices.count.open".equals(event.getKey())) {
-            event.getData().setItemValue("value", "" + (countOpen));
-            event.getData().setItemValue("label", resourceBundleHandler.findMessage("oplist.invoices"));
-            event.getData().setItemValue("description",
-                    resourceBundleHandler.findMessage("oplist.invoices.description.open"));
-            event.getWorkitem().setItemValue("invoices.total.open", countOpen);
-            event.getWorkitem().setItemValue("link", link);
+            event.setValue("" + (countOpen));
+            event.setLabel(resourceBundleHandler.findMessage("oplist.invoices"));
+            event.setDescription(resourceBundleHandler.findMessage("oplist.invoices.description.open"));
+            event.getWorkitem().setItemValue("invoices.total.open", event.getValue());
+            event.setLink(link);
        }

        if ("analytic.invoices.count.due".equals(event.getKey())) {
-            event.getData().setItemValue("value", "" + countDue);
-            event.getData().setItemValue("label", resourceBundleHandler.findMessage("oplist.invoices"));
-            event.getData().setItemValue("description",
-                    resourceBundleHandler.findMessage("oplist.invoices.description.due"));
-            event.getWorkitem().setItemValue("invoices.total.due", countDue);
-            event.getWorkitem().setItemValue("link", link);
+            event.setValue("" + countDue);
+            event.setLabel(resourceBundleHandler.findMessage("oplist.invoices"));
+            event.setDescription(resourceBundleHandler.findMessage("oplist.invoices.description.due"));
+            event.getWorkitem().setItemValue("invoices.total.due", event.getValue());
+            event.setLink(link);
        }
-
        if ("analytic.invoices.count.dunning".equals(event.getKey())) {
-            event.getData().setItemValue("value", "" + countDunning);
-            event.getData().setItemValue("label", resourceBundleHandler.findMessage("oplist.invoices"));
-            event.getData().setItemValue("description",
-                    resourceBundleHandler.findMessage("oplist.invoices.description.dunning"));
-            event.getWorkitem().setItemValue("invoices.total.dunning", countDunning);
-            event.getWorkitem().setItemValue("link", link);
+            event.setValue("" + countDunning);
+            event.setLabel(resourceBundleHandler.findMessage("oplist.invoices"));
+            event.setDescription(resourceBundleHandler.findMessage("oplist.invoices.description.dunning"));
+            event.getWorkitem().setItemValue("invoices.total.dunning", event.getValue());
+            event.setLink(link);
        }

    }
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/AGLAnalyticControllerSteuer.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/AGLAnalyticControllerSteuer.java
@ -69,57 +69,53 @@ public class AGLAnalyticControllerSteuer implements Serializable {
            link = link + "?processref=" + process.getUniqueID() + "&workflowgroup=Steuerbescheid";
        }
        if ("analytic.steuer.eust".equals(event.getKey())) {
-            Object eustTotal = computeSteuerbescheideEUST();
-            event.getData().setItemValue("value", eustTotal);
-            event.getData().setItemValue("label", "EUR");
-            event.getData().setItemValue("description", "Gesamt Einfuhrumsatzsteuer (EUSt)");
-            event.getWorkitem().setItemValue("eust.total", eustTotal);
-            event.getWorkitem().setItemValue("link", link);
+            event.setValue(computeSteuerbescheideEUST());
+            event.setLabel("EUR");
+            event.setDescription("Gesamt Einfuhrumsatzsteuer (EUSt)");
+            event.getWorkitem().setItemValue("eust.total", event.getValue());
+            event.setLink(link);
        }
-
        if ("analytic.steuer.zoll".equals(event.getKey())) {
-            event.getData().setItemValue("value", computeSteuerbescheideZoll());
-            event.getData().setItemValue("label", "EUR");
-            event.getData().setItemValue("description", "Gesamt Zölle (ZOLLEU)");
-            event.getWorkitem().setItemValue("link", link);
+            event.setValue(computeSteuerbescheideZoll());
+            event.setLabel("EUR");
+            event.setDescription("Gesamt Zölle (ZOLLEU)");
+            event.setLink(link);
        }

        if ("analytic.steuer.total".equals(event.getKey())) {
-            event.getData().setItemValue("value", computeSteuerbescheideTotal());
-            event.getData().setItemValue("label", "EUR");
-            event.getData().setItemValue("description", "Alle Steuerbescheide die noch nicht abgerechnet wurden.");
-            event.getWorkitem().setItemValue("link", link);
+            event.setValue(computeSteuerbescheideTotal());
+            event.setLabel("EUR");
+            event.setDescription("Alle Steuerbescheide die noch nicht abgerechnet wurden.");
+            event.setLink(link);
        }

        if ("analytic.steuer.saldo".equals(event.getKey())) {
-            event.getData().setItemValue("value", computeSteuerbescheideSaldo());
-            event.getData().setItemValue("label", "EUR");
-            event.getData().setItemValue("description",
-                    "Saldo aller Steuerbescheide die noch nicht abgerechnet wurden.");
-            event.getWorkitem().setItemValue("link", link);
+            event.setValue(computeSteuerbescheideSaldo());
+            event.setLabel("EUR");
+            event.setDescription("Saldo aller Steuerbescheide die noch nicht abgerechnet wurden.");
+            event.setLink(link);
        }

        if ("analytic.steuer.due".equals(event.getKey())) {
-            event.getData().setItemValue("value", computeSteuerbescheideSaldoDue());
-            event.getData().setItemValue("label", "EUR");
-            event.getData().setItemValue("description",
-                    "Saldo aller überfälligen Steuerbescheide die noch nicht abgerechnet wurden.");
-            // event.getWorkitem().setItemValue("link", link + "&task=Überfällig");
-            event.getWorkitem().setItemValue("link", link + "&task=1200");
+            event.setValue(computeSteuerbescheideSaldoDue());
+            event.setLabel("EUR");
+            event.setDescription("Saldo aller überfälligen Steuerbescheide die noch nicht abgerechnet wurden.");
+            // event.setLink(link + "&task=Überfällig");
+            event.setLink(link + "&task=1200");
        }

        // Charts

        if ("analytic.steuer.trend".equals(event.getKey())) {
-            event.getData().setItemValue("value", accumulateSteuerbescheideByWeek());
-            event.getData().setItemValue("label", "Zoll & EUST");
-            event.getData().setItemValue("description", "Fälligkeiten nach KW");
+            event.setValue(accumulateSteuerbescheideByWeek());
+            event.setLabel("Zoll & EUST");
+            event.setDescription("Fälligkeiten nach KW");
        }

        if ("analytic.steuer.trend.abteilung".equals(event.getKey())) {
-            event.getData().setItemValue("value", accumulateSteuerbescheideAbteilungByWeek());
-            event.getData().setItemValue("label", "Nach Abteilungen");
-            event.getData().setItemValue("description", "Offene Salden nach KW pro Abteilung");
+            event.setValue(accumulateSteuerbescheideAbteilungByWeek());
+            event.setLabel("Nach Abteilungen");
+            event.setDescription("Offene Salden nach KW pro Abteilung");
        }

    }
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/AGLAnalyticExcelAdapter.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/AGLAnalyticExcelAdapter.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/AGLAnalyticExcelAdapterDebitor.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/AGLAnalyticExcelAdapterDebitor.java
@ -25,7 +25,7 @@ import org.imixs.workflow.exceptions.PluginException;
 import org.imixs.workflow.exceptions.QueryException;
 import org.imixs.workflow.office.config.ConfigService;
 import org.imixs.workflow.poi.POIFindReplaceAdapter;
-import org.imixs.workflow.poi.XSSFUtil;
+import org.imixs.workflow.poi.POIUtil;
 import org.imixs.workflow.util.XMLParser;

 import jakarta.inject.Inject;
@ -174,7 +174,7 @@ public class AGLAnalyticExcelAdapterDebitor extends POIFindReplaceAdapter {
        int newColumns = (currencyList.size() - 1) * 2;
        for (int i = 0; i < newColumns; i++) {
            logger.info(".. add currency column...");
-            XSSFUtil.insertColumn(sheet, 6, 8 + i);
+            POIUtil.insertColumn(sheet, 6, 8 + i);
        }

        // Beschriftungen eintragen
@ -247,7 +247,7 @@ public class AGLAnalyticExcelAdapterDebitor extends POIFindReplaceAdapter {

        // jetzt füge alle Rechnungen an.
        int totalRowCount = invoices.size();
-        XSSFUtil.insertRows(sheet, "A11", totalRowCount - 0);
+        POIUtil.insertRows(sheet, "A11", totalRowCount - 0);

        for (ItemCollection invoice : invoices) {
            logger.fine("......add invoice " + invoice.getUniqueID());
@ -285,8 +285,8 @@ public class AGLAnalyticExcelAdapterDebitor extends POIFindReplaceAdapter {
        // setze Summen Formeln
        for (int column = 6; column < currencyList.size() * 2 + 6; column++) {
            XSSFCell cell = sheet.getRow(totalRowCount + 11).getCell(column); // G11
-            String cellRefFrom = XSSFUtil.getCellReference(column, 10);
-            String cellRefTo = XSSFUtil.getCellReference(column, totalRowCount + 10);
+            String cellRefFrom = POIUtil.getCellReference(column, 10);
+            String cellRefTo = POIUtil.getCellReference(column, totalRowCount + 10);
            String formula = "SUM(" + cellRefFrom + ":" + cellRefTo + ")";
            cell.setCellFormula(formula);
        }
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/AGLConfigController.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/AGLConfigController.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/BusinessPartnerController.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/BusinessPartnerController.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/BusinessPartnerSearchEntry.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/BusinessPartnerSearchEntry.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/BusinessPartnerService.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/BusinessPartnerService.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/CargosoftExportAdapter.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/CargosoftExportAdapter.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/CargosoftSplitAdapter.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/CargosoftSplitAdapter.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/CustomSearchController.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/CustomSearchController.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/DebitorStatistikController.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/DebitorStatistikController.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/DebitorStatistikData.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/DebitorStatistikData.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/FTPConnector.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/FTPConnector.java
@ -113,10 +113,7 @@ public class FTPConnector {
        FTPClient ftpClient = null;
        try {
            logger.info("├── 🔜 uploading " + fileName + " to FTP server: " + ftpServer + " ...");
-            logger.info("│   ├──  port=" + ftpPort.get().intValue());
            logger.info("│   ├──  working directory=" + ftpWorkingPath);
-            logger.info("│   ├──  user=" + ftpUser.get());
-            // logger.info("│ ├── password=" + ftpPassword.get());
            ftpClient = new FTPSClient("TLS", false);
            ftpClient.setBufferSize(8192);
            ftpClient.connect(ftpServer.get(), ftpPort.get().intValue());
@ -153,17 +150,11 @@ public class FTPConnector {
            }

            logger.info("│   └──  ✓ ftp transfer completed.");
-        } catch (IOException | PluginException e) {
-            // Log the real cause immediately, before the finally block runs -
-            // otherwise a cleanup failure could overwrite/hide this exception.
-            logger.warning("│   ├── ⚠️ FTP connection error: " + e.getMessage());
-            if (e instanceof PluginException) {
-                throw (PluginException) e;
-            }
+        } catch (IOException e) {
            throw new PluginException(CargosoftExportAdapter.class.getSimpleName(), FTP_ERROR,
                    "FTP file transfer failed: " + e.getMessage(), e);
        } finally {
-            // Cleanup - never let a cleanup failure mask the primary exception
+            // Cleanup
            try {
                if (writer != null) {
                    writer.close();
@ -172,10 +163,9 @@ public class FTPConnector {
                    ftpClient.logout();
                    ftpClient.disconnect();
                }
-            } catch (IOException cleanupException) {
+            } catch (IOException e) {
                throw new PluginException(CargosoftExportAdapter.class.getSimpleName(), FTP_ERROR,
-                        "FTP file transfer failed during cleanup: " + cleanupException.getMessage(),
-                        cleanupException);
+                        "FTP file transfer failed during cleanup: " + e.getMessage(), e);
            }
        }
    }
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/InvoiceAnalyseController.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/InvoiceAnalyseController.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/InvoiceDispatchAdapter.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/InvoiceDispatchAdapter.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/InvoiceDispatchController.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/InvoiceDispatchController.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/InvoiceOutgoingPlugin.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/InvoiceOutgoingPlugin.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/InvoicePlugin.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/InvoicePlugin.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/InvoiceService.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/InvoiceService.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/InvoiceUtil.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/InvoiceUtil.java
@ -38,12 +38,6 @@ public class InvoiceUtil {
        return bd.doubleValue();
    }

-    public static BigDecimal roundBigDecimal(double value) {
-        BigDecimal bd = BigDecimal.valueOf(value);
-        bd = bd.setScale(2, RoundingMode.HALF_UP);
-        return bd;
-    }
-
    /**
     * Rounds a Flat Value
     *
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/OPListController.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/OPListController.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/OPListExportAdapter.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/OPListExportAdapter.java
@ -26,7 +26,7 @@ import org.imixs.workflow.exceptions.PluginException;
 import org.imixs.workflow.exceptions.QueryException;
 import org.imixs.workflow.office.config.ConfigService;
 import org.imixs.workflow.poi.POIFindReplaceAdapter;
-import org.imixs.workflow.poi.XSSFUtil;
+import org.imixs.workflow.poi.POIUtil;
 import org.imixs.workflow.util.XMLParser;

 import jakarta.inject.Inject;
@ -179,7 +179,7 @@ public class OPListExportAdapter extends POIFindReplaceAdapter {
        int newColumns = (currencyList.size() - 1) * 1;
        for (int i = 0; i < newColumns; i++) {
            logger.fine(".. add currency column...");
-            XSSFUtil.insertColumn(sheet, 5, 6 + i);
+            POIUtil.insertColumn(sheet, 5, 6 + i);
        }

        // Beschriftungen eintragen
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/OPListExportAdapterByWeek.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/OPListExportAdapterByWeek.java
@ -37,7 +37,7 @@ import org.imixs.workflow.exceptions.PluginException;
 import org.imixs.workflow.exceptions.QueryException;
 import org.imixs.workflow.office.config.ConfigService;
 import org.imixs.workflow.poi.POIFindReplaceAdapter;
-import org.imixs.workflow.poi.XSSFUtil;
+import org.imixs.workflow.poi.POIUtil;
 import org.imixs.workflow.util.XMLParser;

 import jakarta.inject.Inject;
@ -199,13 +199,13 @@ public class OPListExportAdapterByWeek extends POIFindReplaceAdapter {
        int newColumns = (currencyList.size() * (spaces.size())) - 1;
        for (int i = 0; i < newColumns; i++) {
            logger.fine(".. add currency column...");
-            XSSFUtil.insertColumn(sheet, 1, 2 + i);
+            POIUtil.insertColumn(sheet, 1, 2 + i);
        }

        // Total spalten einfuegen
        for (int i = 0; i < currencyList.size() - 1; i++) {
            logger.fine(".. add total column...");
-            XSSFUtil.insertColumn(sheet, 2 + newColumns, 3 + newColumns + i);
+            POIUtil.insertColumn(sheet, 2 + newColumns, 3 + newColumns + i);
        }
        newColumns = newColumns + currencyList.size();

--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/OPListExportController.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/OPListExportController.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/OPListExportScheduler.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/OPListExportScheduler.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/RenameFilenamesAdapter.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/RenameFilenamesAdapter.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/SEPAExportControllerAGL.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/SEPAExportControllerAGL.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/SteuerListController.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/SteuerListController.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/SteuerbescheidPlugin.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/SteuerbescheidPlugin.java
--- a/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/ZahlungsavisAppendAdapter.java
+++ b/office-alexander-logistics-app/src/main/java/com/alexanderlogistics/ZahlungsavisAppendAdapter.java
--- a/Show more
+++ b/Show more
				`@ -0,0 +1 @@`
				`ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAnGiu0PUBl+G++vHrGP5wDRit4mXF4hXTyzUem3BPADaV0DUuYN1Fx5RpDl2F8mhnqDYcyCTBzLTJ+0jFqq1pzoJW5ZWZ+hSChabVCV4m8UkFkhbRmjxNkPx26ZMhfTD1mDqgCKQ+bbt1mi04UZppDKBr+9ZrMG3d0odHblEJHixtJ7Hqr9vvXXbvNv4E9B/9dlW57oyEUk/vKmwuLyGAsDjxjfB3W+Faab+gev8VDwJxdbD90HX0O2Az05wy9EC7M3pujcawsHdaFXgFFRRwlVuUkX3z9hp1Uekqg0N81hty7/i8GiZ9/m3Y6hIA5eRM4ZpDQFEF8SY9TLSzDehNoQ== seesped@cargodb`
				`@ -0,0 +1 @@`
				`‚¥movesÚÄ{"0":{},"1":{"invoice.total":-1,"invoice.number":-2,"cdtr.name":-3,"invoice.date":-4,"cdtr.iban":-5,"cdtr.bic":-6},"2":{"invoice.total":-1,"invoice.number":-2,"cdtr.name":-3,"invoice.date":-4,"cdtr.iban":-5,"cdtr.bic":-6},"3":{"invoice.total":-1,"invoice.number":-2,"cdtr.name":-3,"invoice.date":-4,"cdtr.iban":-5,"cdtr.bic":-6},"4":{"":1,"invoice.total":-1,"invoice.number":-2,"cdtr.name":-3,"invoice.date":-4,"cdtr.iban":-5,"cdtr.bic":-6},"5":{"":1}}£cfg<66>§neg_keyÀ`
				`@ -0,0 +1 @@`
				`‚¥movesÚÄ{"0":{},"1":{"cdtr.name":-1,"cdtr.iban":-2,"cdtr.bic":-3,"invoice.total":-4,"invoice.date":-5,"invoice.number":-6},"2":{"cdtr.name":-1,"cdtr.iban":-2,"cdtr.bic":-3,"invoice.total":-4,"invoice.date":-5,"invoice.number":-6},"3":{"cdtr.name":-1,"cdtr.iban":-2,"cdtr.bic":-3,"invoice.total":-4,"invoice.date":-5,"invoice.number":-6},"4":{"":1,"cdtr.name":-1,"cdtr.iban":-2,"cdtr.bic":-3,"invoice.total":-4,"invoice.date":-5,"invoice.number":-6},"5":{"":1}}£cfg<66>§neg_keyÀ`