Remove module code. Moved to https://github.com/LabKey/clientModules

README.md

@@ -1,44 +1 @@
-# CDS
-
-## Dataset/Assay updates
-A frequent request from client is to add/modify dataset fields. There are currently 7 datasets defined for DataSpace: 1 demographics, 5 subject level assay and 1 mab assay. The dataset definitions lives in dataset xml files (MasterDataspace/study/datasets/) and are loaded to LabKey server via folder import. 
-
-The following work are usually required to change dataset fields:
-Make modification to dataset definition in dataset_metadata.xml
-Add new fields, or modify existing fields label/description, etc
-Re import dataset definition by uploading MasterDataspace/ and import folder.xml
-Make schema, query and ETL changes for dataset change
-Schema change usually is needed when new fields are to be added. There is a set of import_* tables, that the ETL import flat txt import files into, as a first step. See “CDS ETLs” section for more information.
-Customize field in measure.js
-
-Measure.js: field behavior in app
-Dataset_metadata.xml defines some basic field props, such as name, description, measure, dimension, field type, etc. Fields are future decorated in measure.js to allow customized behavior in Plot (Y axis, X axis and color) and Grid variable selector. 
-CDS ETLs
-2 ETLs are used to load data into the app from a set of txt files. 
-
-CDSImport.xml
-This first step ETL reads txt files into a set of import_tables. When new dataset fields are requested, schema change is often needed so the import_ tables match the new fields available in the uploaded txt files.
-
-LoadApplications.xml
-This step transforms the raw data into processed data and loads to destination cds and study schema. Data processing are done in 2 ways:
-Through staging queries. There are a set of queries defined over cds as well as study schema, they are mainly used for the following purposes: intermediate / semi processed source table for ETL (lots of the ds_* queries),  helper queries for Learn About (some ds_ and most learn_). 
-Through java code. For more complex processing, java based (or a combination of query and java) approach is used. See PopulateTreatmentArmTask for example. 
-
-## Compiling scss for cds
-Themes are built with Webpack and no longer need to be checked in. Styles are built during a gradle build via our build
-commands in package.json.
-
-Styles for main cds app live in the theme/connector/ directory.
-
-Styles for the front page live in the theme/front-page/ directory.
-
-You might need to run 'npm run build' from the cds/ root directory before running deployApp for the changes in .scss to take effect.
-
-## Staging and prod server upgrade
-Staging server reminder: One thing worth reminding Jon of during each staging upgrade is, for DataSpace staging, a data refresh is never needed/desired. The staging server may hold in progress work, such as R reports, that should not be wiped out during upgrade.  
-CDS take the latest patch release build, not the latest Alpha (sprint) build. 
-
-For each upgrade, developer should check if there is any dataset change. If so, upload the version of MasterDataspace/ folder that matches the build to the server, and run folder import to update dataset definition. If this is not done, ETL might fail. 
-If there is new data, the 2 ETLs will be run. Usually the client uploads the new data and then run the ETLs themselves.
-
-Recommend browser cache clearing if client is seeing weird styles.
+Module moved to [LabKey/clientModules](https://github.com/LabKey/clientModules) in 25.3