dc 50282f2ddb feat(client): send session_info with every service request
Adds a single-row `session_info` input table to every service call made
through SasService.request, describing where the request came from:

- url - the URL of the Data Controller page itself (the iframe), not the
  document embedding it, so an embedded report and any parameters its
  author added to the embed URL can be told apart
- referrer - the embedding document
- timezone / tz_offset / locale - the browser's, so services and hooks can
  match date logic and labels to what the user sees
- version - the client build, for support and version-aware hooks
- va_result_name / va_row_count / va_available_row_count - VA data-driven
  content metadata, blank and zero when not embedded in VA

When VA is present its parameters and columns are sent too, as
`va_parameters` and `va_columns` tables, so a hook script can branch on
the report's own parameters.

The table is always sent - when the app is standalone the VA fields are
simply empty. Hook scripts read it directly from WORK; no service needs to
change.
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Data Controller for SAS

Control your manual data modifications!

Alternatives to Data Controller include:

  • 💾 Developing / testing / deploying / scheduling overnight batch jobs to load files from shared drives
  • 🔒 Opening (and locking) datasets in Enterprise Guide or SAS® Table Viewer to perform direct updates
  • ❓ Asking a #DBA to run validated code after a change management process
  • 🌐 Building & maintaining your own custom web application
  • 🏃 Running #SAS or #SQL updates in production

Problems with the above include:

  • Legacy 'black box' solutions with little to no testing, documentation or support
  • End users requiring direct write access to critical data sources in production
  • Upload routines that must be manually modified when the data model changes
  • Breaches due to unnecessary parties having access to the data
  • Inability to trace who made a change, when, and why
  • Reliance on key individuals to perform updates
  • Building bespoke ETL for every new data source
  • High risk of manual error / data corruption

Data Controller for SAS® solves all these issues in a simple-to-install, user-friendly, secure, documented, battle-tested web application. Available on Viya, SAS 9 EBI, and SASjs Server.

An individual Viya deploy can be done in just 2 lines of #SAS code!

filename dc url "https://git.datacontroller.io/dc/dc/releases/download/latest/viya.sas";
%inc dc;

For a multi-user deploy, using a shared system account, please see deploy docs.

For further information:

For support, contact support@4gl.io or reach out on Matrix!

Development

Lighthouse CI

This project includes automated Lighthouse performance and accessibility checks that run on pull requests. The checks ensure:

  • Accessibility Score: Minimum 1.0 (100%) median score across all tested pages

The Lighthouse CI workflow:

  1. Sets up the development environment with SASjs server and mocked services
  2. Builds and serves the Angular frontend
  3. Installs Chrome and runs lhci autorun (Lighthouse CI) against key pages
  4. Uploads results as artifacts for review

To run Lighthouse checks locally:

cd client
npm install
npm run lighthouse

Configuration is in client/lighthouserc.js (URL list, desktop preset, Chrome flags, assertions).

S
Description
Capture, Review, Approve. This repo contains the source code (and release assets) for the Data Controller application.
https://datacontroller.io
Readme
42 MiB
v7.16.0
Latest
2026-09-28 09:09:46 +00:00
Languages
TypeScript 45.8%
SAS 23.6%
JavaScript 16.9%
HTML 9.8%
SCSS 3.1%
Other 0.8%