VisualFiles Script Editor: Complete Guide for Efficient Case Automation
Overview
VisualFiles Script Editor is the built‑in tool for creating, editing and managing automation scripts within the VisualFiles case management platform. This guide explains how to structure, write, test and deploy scripts that automate routine case workflows, reduce manual work, and improve data consistency across your projects.
Who this is for
- Caseworkers and paralegals who want to automate repetitive tasks
- Administrators responsible for workflow design and governance
- Developers building custom actions, validations, or integrations
Key concepts
- Script: A sequence of actions written in VisualFiles Script language to manipulate case data, change states, or call external services.
- Trigger: An event that runs a script (e.g., button click, state transition, scheduled job).
- Context: The active case record(s) and environment variables available to the script.
- Actions: Built‑in functions for reading/writing fields, creating tasks, sending emails, and invoking processes.
- Error handling: Using try/catch patterns and logging to handle failures gracefully.
Editor layout and features
- Code pane: Main editing area with syntax highlighting for VisualFiles Script constructs.
- Autocomplete: Suggests functions, field names, and variables to speed up writing.
- Toolbox / snippets: Reusable code snippets for common operations (field set/get, create task).
- Test runner: Execute scripts against sample or live case data in a controlled manner.
- Versioning: Track and rollback script versions if available in your VisualFiles deployment.
- Diagnostics/log viewer: Inspect runtime logs, errors and execution traces.
Best practices for efficient automation
- Plan before coding — Map the workflow, define triggers, inputs, expected outputs and error paths.
- Use small, single‑purpose scripts — Smaller scripts are easier to test, reuse and maintain.
- Encapsulate repeated logic — Create shared functions or library scripts for common operations (date calculations, validation checks).
- Prefer declarative actions where possible — Use built‑in actions and configurations rather than complex custom code when available.
- Fail fast and log clearly — Validate inputs early, throw meaningful errors, and write concise logs to aid support.
- Limit side effects in tests — When using the test runner, avoid irreversible actions on production records; use sample cases or sandbox environments.
- Secure sensitive operations — Check user permissions before performing privileged actions and avoid logging sensitive data.
- Document — Add inline comments, maintain external documentation for script purpose, triggers and parameters.
Common script patterns with examples
(Note: adapt to your environment — these are conceptual patterns.)
- Field copy and normalization
let dob = case.getField(‘ClientDOB’); if (dob) {case.setField(‘ClientDOBFormatted’, formatDate(dob, ‘yyyy-MM-dd’)); }
- Conditional task creation
if (case.getField(‘Income’) < 10000) { createTask(‘LowIncomeReview’, assigneeId); }
- State transition with validation
try { if (isEligibleForClosure(case)) {
case.transitionTo('Closed');
} else {
throw 'Case does not meet closure criteria';
} } catch (err) { logError(err); notifyUser(‘Closure failed: ’ + err); }
- Calling an external API (conceptual)
let payload = { id: case.id, name: case.getField(‘ClientName’) }; let response = http.post(’https://api.example.com/sync’, payload); if (!response.ok) { logError(response.body); }
Testing and debugging
- Use the built‑in test runner with representative case data.
- Add verbose logging during development and reduce log level in production.
- Test edge cases (missing fields, invalid formats, permission restrictions).
- Simulate concurrent executions if scripts may run in parallel.
- Use version control or the editor’s versioning features when rolling out changes.
Deployment and governance
- Stage changes in a development environment and promote to production after QA.
- Maintain a change log and approval workflow for scripts that impact core processes.
- Implement monitoring: alert on script failures or unusual error rates.
- Schedule periodic reviews to remove deprecated scripts and update libraries.
Performance considerations
- Minimize queries and batch data access when operating on multiple cases.
- Avoid expensive synchronous external calls; prefer asynchronous jobs where supported.
- Cache repeated lookups within the script execution context.
- Monitor execution time and set timeouts for long‑running operations.
Troubleshooting checklist
- Confirm the script trigger is configured and active.
- Verify field names and IDs match the case schema.
- Check user permissions for the account running the script.
- Review logs for stack traces or failed API responses.
- Reproduce the issue in a sandbox with the same data inputs.
Quick reference: common functions
- getField(fieldName) — read a field
- setField(fieldName, value) — write a field
- createTask(taskType, assignee) — add a task
- transitionTo(stateName) — change case state
- log(message) / logError(err) — write diagnostics
- http.get/post — external requests (if enabled)
Next steps
- Start by automating one routine task (e.g., create an initial assessment task on intake).
- Build a shared snippet library for your team.
- Establish a release process and periodic audit of scripts.
If you want, I can:
- Provide a walkthrough script for a specific workflow (e.g., intake → assessment → assignment).
- Convert any of the conceptual snippets above into code tailored to your VisualFiles schema.