dc cc01f540c2
Build / Build-and-ng-test (pull_request) Successful in 5m12s
Lighthouse Checks / lighthouse (pull_request) Successful in 19m55s
Build / Build-and-test-development (pull_request) Successful in 29m58s
fix(filters): use the unformatted value in every IN branch
Finding from the review at ece67d3.

dynamicWhereClauseCreator's IN branch mapped the entry through element.values
only when building the literal; the two fallbacks emitted the unmapped value, so
a formatted label could still reach RAW_VALUE.  A temporal entry whose mapped
value is not a whole day / second (sasTemporalLiteral returns null for a
genuinely fractional value) or whose label finds no match in element.values
would fall through to the quoted label on a numeric column, which mp_filtercheck
rejects and which aborts the getcolvals load inside the swallowed catch.

The mapped value is now assigned once and used in all three branches, as
createFilterQueryTable's IN branch does.

One unit case added for the non-literal fallback.  582/582 unit tests pass.
2026-10-16 21:44:08 +00:00
2026-08-27 17:21:01 +01:00
2026-05-01 11:46:10 +01:00
2023-07-13 13:44:05 +02:00
2026-10-15 20:21:53 +00:00
2023-07-25 09:09:57 +01:00
2026-10-15 20:21:53 +00:00
2026-06-15 14:42:18 +02:00

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
47 MiB
1 Stars 5 Watchers 0 Forks
v7.18.0
Latest
2026-10-19 14:14:25 +00:00
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JavaScript 17.1%
HTML 9.4%
SCSS 3%
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