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Trisotech.com
Data Validation in a
Low-Code Environment
Using Trisotech Digital Enterprise Suite
Presented By
Simon Ringuette, Trisotech
Mélanie Gauthier, Trisotech
Trisotech.com
Introduction
 Data validation in low – code services created using the DMN and BPMN standard.
 Pros and cons of using different data validation methods
 How Trisotech implements Data Validation at the Data Type level.
Trisotech.com
Overview of Modeling and Automation
 Trisotech offers a Modeling suite that implements popular business oriented OMG
standards such as BPMN, CMMN and DMN to model Workflow, Cases and
Decisions.
Trisotech.com
Overview of Modeling and Automation
 Trisotech also offers an automation platform that uses those models augmented with low-code attributes to
create containerized services.
Trisotech.com
How people typically do data validation in DMN
 Extra decisions and logic added
 Data manipulation to ensure correctness
 Decision failure when unexpected data is encountered
o Identifying the cause is harder for end-user
Trisotech.com
Example Time Off Request
Trisotech.com
Introducing enhanced data validation
 Three predefined rules
o Range, enumeration and not null
 Powerful expression
o All the power of FEEL with auto completion
o Values of previous fields can be used
o Multiple expression can be combined (AND)
 Each rule may have its own user-friendly message
o Easier for users to understand what is wrong
o Default messages provided by the DES
 Error code can also be set for easier API integration
 Fail fast
Trisotech.com
Data validation level
 Three levels of validation
o None
o External data entry
o Always
 Setting in the preference for testing
 Through the deploy modal for services
Trisotech.com
Improving Time Off Request
Trisotech.com
Turning the model in a service
 Validation error returns a 400 HTTP response
o Message
o Code
o Location
 Only when validation level is set to Always or External data entry.
Trisotech.com
Deploying Time Off Request
Trisotech.com
Showcase in Workflow automation
 Validation rules can be defined on the four modelers supporting data types
o Decision, Case, Workflow and Knowledge Entity
 Shared across models when reusing from the graph.
 Data validation levels available in Workflow and Case automation.
 Some validation needs to be done in the flow, Worfklow automation should be used in that case.
Trisotech.com
Integrate Time-Off request
in a workflow

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Data Validation in a Low-Code Environment

  • 1. Trisotech.com Data Validation in a Low-Code Environment Using Trisotech Digital Enterprise Suite Presented By Simon Ringuette, Trisotech Mélanie Gauthier, Trisotech
  • 2. Trisotech.com Introduction  Data validation in low – code services created using the DMN and BPMN standard.  Pros and cons of using different data validation methods  How Trisotech implements Data Validation at the Data Type level.
  • 3. Trisotech.com Overview of Modeling and Automation  Trisotech offers a Modeling suite that implements popular business oriented OMG standards such as BPMN, CMMN and DMN to model Workflow, Cases and Decisions.
  • 4. Trisotech.com Overview of Modeling and Automation  Trisotech also offers an automation platform that uses those models augmented with low-code attributes to create containerized services.
  • 5. Trisotech.com How people typically do data validation in DMN  Extra decisions and logic added  Data manipulation to ensure correctness  Decision failure when unexpected data is encountered o Identifying the cause is harder for end-user
  • 7. Trisotech.com Introducing enhanced data validation  Three predefined rules o Range, enumeration and not null  Powerful expression o All the power of FEEL with auto completion o Values of previous fields can be used o Multiple expression can be combined (AND)  Each rule may have its own user-friendly message o Easier for users to understand what is wrong o Default messages provided by the DES  Error code can also be set for easier API integration  Fail fast
  • 8. Trisotech.com Data validation level  Three levels of validation o None o External data entry o Always  Setting in the preference for testing  Through the deploy modal for services
  • 10. Trisotech.com Turning the model in a service  Validation error returns a 400 HTTP response o Message o Code o Location  Only when validation level is set to Always or External data entry.
  • 12. Trisotech.com Showcase in Workflow automation  Validation rules can be defined on the four modelers supporting data types o Decision, Case, Workflow and Knowledge Entity  Shared across models when reusing from the graph.  Data validation levels available in Workflow and Case automation.  Some validation needs to be done in the flow, Worfklow automation should be used in that case.

Editor's Notes

  1. Ouvrir le modèle Time Off Request – Original Expliquer l’exemple (data store pour le nombre de jour de vacances et service pour le nombre de working days) Montrer le data type, une seule contrainte, une énumération standard Montrer l’appel du service avec la manipulation pour mettre le From/To en ordre au besoin Exécuter le modèle sans mettre de date, on a une erreur avec un message cryptique Montrer la logique de approve avec la justification requise pour le family day
  2. Same expression as the input of a decision table Fail fast: avoid unnecessary call that would fail anyway
  3. None : No data validation at all External data entry: For values entered by user (input data in DMN, data input in BPMN) Always: Also validates between decisions (if previous decisions introduces invalid data, it will log an error) Always requires more processing It should be use while developping the models to ensure correctness External should be use when the model is ready for production
  4. Faire un save as du modèle Time Off Request Aller modifier tTime Off Request - Vérifier le level dans les préférences Mettre not null à employee ID, from and To mentionner le allow null sur l’énumération Test with no value to view the default messages Aller modifier To pour mettre une contrainte after(?, From) or From = ? Aller modifier Justification pour le mettre obligatoire si le type est Family dev if Type="Family day" then ? != null and string length(?) > 5 else true A justification of at least 5 characters must be provided for family days Tester les conditions Aller simplifier le modèle: enlever le mapping du start/end et la colonne de justification
  5. Location is the name of the data plus the path
  6. Deploy the model making sure data validation level is set to External data entry Select the diagram in the tab Briefly show the RestAPI file with the 400 code Run the test form, show the different errors in there too (Employe 1, 1 day, 7, 7 days and 14 14 days)
  7. The validation about the employee that is found or not makes the DMN model complex for no reason. This can be moved out and be done by a Process instead Open Time Off Request – To be used by process No more data store here, we expect the Remainging days Time Off Approval is now simpler too, only the decision Open the process model Show the data type, it has all the same expressions Show the handling of the error through condition Test the previous rules to show it works the same Show the rule on the response (reason provided when rejecting) Deploy Test it and manual rejection on the user task, we have the error there too