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richard-churchman 5f6bbe45f7 A major refactoring of the software to make model IDs less volatile between Import, Export, and Peek (comparison) of the model configuration environment. As part of the extensive refactor, most tables have been updated to include a GUID field, which is consistent across Import, irrespective of the IDs remaining volatile. The consistent GUID allows for the separation of production (i.e., Case, Transaction, and Counter data), Redis cache data and quasi-production data(i.e, Lists, Suppressions, and Dictionaries) from the configuration environment. Significant rework of Controllers, Repositories and POCOs to support GUID as an access path rather than ID.
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.
2025-08-13 19:01:08 +03:00

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default Activation Rules with Response Elevation 14 Models Configuration

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Activation Rules with Response Elevation

Response elevation - commonly inferred as a decline code - is a consequence of the activation rule match. The Response Elevation has several other properties which can direct action, with the values being returned in the response payload also.

Navigate to the Activation Rule that was created beforehand, titled Volume1DayUSDForIPOver100, clicking on it for the purposes of editing:

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Scroll down the page to the section Response Elevation:

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Check the Response Elevation box to reveal the options available:

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Complete the Response Elevation Field as follows to return9 , thus infer a decline with escalation severity 9:

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Scroll down and click update:

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Synchronise the model via Entity >> Synchronisation and repeat the HTTP POST to endpoint https://localhost:5001/api/invoke/EntityAnalysisModel/90c425fd-101a-420b-91d1-cb7a24a969cc for response as follows:

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It can be seen from the HTTP response payload that the Response Elevation has been returned as 9, alongside the URL and example messages configured. It is worth noting that if more than one Activation Rule seeks to allocate a Response Elevation, it can only be to a value greater than the one already existing (hence the name Response Elevation).