Major bug fixes relating to the Redis implementation in Reprocessing and Search Key Cache were identified and fixed as part of the rekeying development. Included functionality to stop the Exhaustive training. Fixed the Unsupervised learning functionality in Exhaustive Training. Embedded the Mock Data CSV data into a class to make it compatible with Docker without needing to modify the Dockerfile (i.e, build). Included a new table that stores training data to enhance support capabilities for Exhaustive. Reintroduced and validated the Multitenancy functionality. Postgres is now fully deprecated in place of Redis for cache, and all implementations of the Interfaces for Postgres have been removed. No migrations exist to support this deprecation, and Postgres as a cache is now wholly unsupported. Removed the Indexing background thread, as Redis does not require it, given that it is a key-value pair database. Created a RedisCommandFlag Environment Variable to support Fire and Forget write to Redis in Invocation. Implemented functionality to Export, Peek and Download configuration environments using a secure, encrypted scheme. Created a permission to access the functionality via the user interface. Extensive database-based logging is included to provide for a comprehensive audit. Created functionality to Import the encrypted Export file inside a database transaction to ensure consistency. As Docker is now the primary deployment model, log4net instantiation has been moved to an approach that primarily uses programmatic instantiation of the ConsoleLogger and RollingFileAppender given Environment Variables. Implemented functionality to support remote \ mounted Log4Net XML Serialisation files for more advanced log4net configurations. Reintroduced access to counters via the user interface and created a permission. Took the opportunity to implement ReSharper linter suggestions. Disabled the Lock button across the whole application, with that functionality being reserved for future use. It is intended that locking happens programmatically on the basis of dependencies in future commits. Fixed several significant end-use bugs which became apparent during testing of the refactored code relating to case management and visualisations. Fixed certain other minor bugs that came up during testing. Brought documentation up to date for this commit. Brought the Docker Compose file up to date for this commit. Removed Redundant Environment Variables for this commit. Made the README file less verbose and unnecessary.
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layout, title, nav_order, parent, grand_parent
| layout | title | nav_order | parent | grand_parent |
|---|---|---|---|---|
| default | Working Case Form Journal | 22 | Case Management | Configuration |
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Working Case Form Journal
Forms are used to capture structured data and invoke certain automations using the HTTP Endpoint and Notification Functionality. The data captured during form invocation, which is documented in a separate configuration section of this documentation, is available for end user review in its entirety.
Navigate to a case record via either Fetch or Skim:
Notice the Case Forms Journal tab:
Click on the Case Forms Journal Tab:
The documentation elsewhere shows the creation of a Cases Workflows Form and the invocation of that, henceforth there exists an entry for that execution.
The grid is hierarchical in nature, thus clicking on the expansion icon on the left hand side, at the row level, will proceed to expand to reveal the form element entries and values:
Clicking on the expand icon will expose all of the values available after the form was submitted:
Notice how the elements of the form have been merged into the case creation payload, which happened during the submission of the form and before any Notification or HTTP Endpoint invocation, such that all these elements are available for tokenization for those processes. Given the structured nature of the data capture, it is simple to produce rich reporting based on the data submissions, although the most powerful use case for Cases Workflows Forms is for the purposes of integration and automation via HTTP Endpoint.




