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  • 🚀Atfinity: No-Code Process Automation
  • Guides
    • Getting Started
      • Introduction
      • 1. Create Ontologies and Roles
      • 2. Create Information
      • 3. Create and Configure a Document
      • 4. Create a Rule
      • 5. Create a Process
      • 6. Put Live
      • Summary and Next Steps
    • Advanced Topics
      • Extending a Workflow
      • Customizing Names of Cases and Instances
      • Automatically Calculating Information Values
      • Using Built in Integrations
    • Troubleshooting
      • Why is a question not asked?
      • Why is a question asked?
      • The value of my calculated field has a strange format
      • Why is my Proof never asked for?
      • Why is my Rule not executed?
      • Why are some options missing in a dropdown?
      • Case Errors
    • Glossary
      • Case
      • Process
      • Workflow
      • Ontology
      • Instance
      • Role
      • Information
      • Document
      • Document Section
      • Document Template
      • Rules
      • Scheduled Rules
      • Information Types
      • Tab
      • Category
      • Taxonomy
      • Proof
      • RuLa Functions
      • Constants
  • Rule Language (RuLA)
    • ℹ️What is RuLa?
    • Declarations
      • is
      • is with where
      • is all
      • is all with min max
      • Role Choices
    • Expressions
    • Operators
      • Boolean Operators
        • =
        • !=
        • >
        • >=
        • <
        • <=
        • and
        • and then
        • not
        • or
        • or else
        • matches (~=)
      • Date Operators
        • NOW
        • IS_DATE
        • TODAY
        • FORMAT_DATE
        • DAYS
        • WEEKDAYS
        • ADD_DAYS
        • ADD_WEEKDAYS
        • ADD_MONTH
        • ADD_YEARS
        • SUBTRACT_YEARS
        • AFTER
        • DATE_EQUAL
        • DATETIME_EQUAL
        • AFTER_EQUAL
        • BEFORE
        • BEFORE_EQUAL
        • DAYS_AGO
        • MONTHS_AGO
        • YEARS_AGO
      • Known Operators
        • unknown
        • known
        • SNEAKY
        • AVG_OF_ANY
        • LIST_OF_ANY
        • MAX_OF_ANY
        • MIN_OF_ANY
        • SUM_OF_ANY
        • CONCAT_OF_ANY
        • UNION_OF_ANY
        • JOIN_OF_ANY
      • List Operators
        • [ , ] (create)
        • [] (access)
        • in
        • not in
        • contains
        • contains any
        • contains only
        • COUNT
        • SORT
        • CUSTOM_MAX
        • REVERSE
        • FIRST_ELEMENT
        • ALL
        • SOME
        • UNION (or |)
        • SET_DIFFERENCE
        • INTERSECTION
        • MAP
        • FILTER
        • FILTER_FALSE
        • FILTER_UNKNOWN
        • SET
      • Dictionary Operators
        • {} (create)
        • [] (access)
        • in
        • keys()
        • FLATTEN
      • Mathematical Operators
        • + - / *
        • %
        • **
        • //
        • AVG
        • CEIL
        • FLOOR
        • MAX
        • MIN
        • ROUND
        • SUM
        • SUM_PRODUCT
        • SQRT
      • String Operators
        • LEN
        • LOWER
        • UPPER
        • TRIM
        • TRIM_LEFT
        • LEFT
        • RIGHT
        • SLICE
        • REPLACE
        • REPLACE_CHARS
        • format
        • calculated_name
        • CONCAT
        • markdown_table
        • make_filename
        • JOIN
        • uuid
      • Special Operators
        • :=
        • ensure
        • get_attr
        • get_translated_attr
        • has_attr
        • get_properties
        • instances
        • instances_exist
        • is
        • ontology
        • Translate (.$)
        • translate_string
        • roles
        • self
        • name_and_log (debug)
    • Conditional Expressions
      • case
      • if-then-else
      • switch
    • Comments
    • Information about the case
    • Accessing the outcome instance
    • Information about documents
    • Recipes
  • Document XML (ADX)
    • ℹ️What is ADX?
    • ADX Elements
      • Body
      • Text
      • Image
      • Columns
      • Field
      • Checkbox
      • Table
      • Rect
      • Line
      • Space
      • KeepTogether
      • Template
      • Style
      • Page Number
      • QR Code
      • HR Code
    • Jinja Templating
      • Instances
      • Case Meta Information
      • Custom Translations
      • Functions
      • Jinja filters
    • Font support
  • API
    • ℹ️What is the Atfinity API?
    • Generate API Keys
    • API Documentation
    • Calling your APIs within Cases
    • External Data Sources (e.g. CRM)
  • Deploying
    • Deploying on-site
      • Kubernetes
      • Docker Compose
    • Management commands
    • Security Logging
    • LDAP User Backend
    • Single Sign On
  • Integrations
    • Avaloq
    • Worldcheck
  • Releases
    • Release Notes
      • Version 11.x
      • Version 10.x
      • Version 9.x and earlier
    • Release Schedule
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  1. Rule Language (RuLA)

Recipes

PreviousInformation about documentsNextWhat is ADX?

Last updated 2 years ago

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RuLa allows you to write quite complicated conditions and formulas. Here are some recipes or snippets or useful RuLa statements to use:

Check if more information than expected is missing

Let's say we expect first_payment_* information to be missing in a certain step, but nothing else. Heres a recipe how to check for exactly that:

COUNT(
    CASE.missing_information_keys - [
        CASE.outcome_instance.first_payment_first_name.key(),
        CASE.outcome_instance.first_payment_last_name.key(),
        CASE.outcome_instance.first_payment_iban.key()
    ]
) > 0

We are using CASE.missing_information_keys for Atfinity to tell us the keys of information still needed but missing in the current case. With INF.key() we then compare these keys to the keys of information we expect to be missing in the case. Finally, we use the "infix ", the minus, to see if the list of missing_information_keys is empty after the remove all the known missing information and count the elements in this list.

set difference operator