Management of programmatic and compliance workflows using robotic process automation
The disclosed embodiments include computer-implemented processes that manage adaptively queued compliance workflow through a virtualization of robotic process automation (RPA) techniques and that manage adaptively a testing and “de-risking” of target programmatic interfaces through a virtualization of additional RPA techniques. In some examples, an apparatus may obtain an element of response data from a programmatic interface based on a corresponding element of input data. The apparatus may determine that the element of response data deviates from an expected response of the programmatic interface to the element of input data, and generate exception data characterizing the determined deviation. The apparatus may also modify at least one functionality of the programmatic interface in accordance with the exception data.
1. An apparatus, comprising:
a memory storing instructions; and
at least one processor coupled to the memory, the at least one processor being configured to execute the instructions to:
based on data associated with a triggering event, provide an element of input data to a programmatic interface, and obtain an element of response data from the programmatic interface, the element of response data being generated by the programmatic interface based on the element of input data;
determine that the element of response data deviates from an expected response of the programmatic interface to the element of input data, and generate exception data characterizing the determined deviation; and
perform operations that modify at least one functionality of the programmatic interface in accordance with the exception data.
2. The apparatus of claim 1 , wherein:
the element of input data is consumable by the programmatic interface, and the element of input data comprises at least a portion of the data associated with the triggering event; and
the at least one processor is further configured to execute the instructions to:
load specification data associated with the programmatic interface from the memory, the specification data characterizing at least one of an expected structure or an expected composition of the element of input data; and
generate the element of input data based on the data associated with the triggering event and the specification data.
3. The apparatus of claim 2 , wherein at least one of a structure or a composition of the element of input data is consistent with a corresponding one of the expected structure or the expected composition.
4. The apparatus of claim 2 , wherein:
at least one of a structure or a composition of the element of input data deviates from a corresponding one of the expected structure or the expected composition; and
the expected response of the programmatic interface to the element of input data comprises an error message.
5. The apparatus of claim 1 , wherein the at least one processor is further configured to execute the instructions to:
generate an element of session data, and store the element of session data within a portion of the memory, the element of session data comprising at least a portion of the element of input data and information that characterizes the expected response of the programmatic interface; and
store the element of response data within the portion of the memory associated with the element of session data.
6. The apparatus of claim 1 , wherein the at least one processor is further configured to execute the instructions to:
load, from the memory, an element of session data associated with the element of input data, the element of session data comprising information that characterizes the expected response of the programmatic interface to the element of input data;
based on the element of session data, determine that the element of response data deviates from the expected response of the programmatic interface; and
based on the determination that the element of response data deviates from the expected response, generate the exception data and store the exception data within a portion of the memory associated with the element of session data.
7. The apparatus of claim 6 , wherein:
the apparatus further comprises a communications interface coupled to the at least one processor; and
the at least one processor is further configured to execute the instructions to transmit, via the communications interface, the exception data and at least the element of session data to a computing device of a developer of the programmatic interface.
8. The apparatus of claim 1 , wherein the at least one processor is further configured to execute the instructions to:
obtain elements of session data from the memory, each of the elements of session data being associated with an additional element of input data, an additional element of response data, and one of (i) additional exception data indicative of a deviation of the additional element of response data from the expected response or (ii) consistency data indicative of a consistency between the additional element of response data and the expected response; and
compute, based on the elements of session data, a value of an exception metric indicative of an incidence of the deviations between additional elements of response data and the expected response of the programmatic interface.
9. The apparatus of claim 8 , wherein the at least one processor is further configured to execute the instructions to:
determine that the value of the exception metric exceeds a threshold value; and
based on the determination that the value of the exception metric exceeds the threshold value, perform the operations that modify the at least one functionality of the programmatic interface.
10. The apparatus of claim 1 , wherein the at least one processor is further configured to execute the instructions to:
apply at least one of a trained machine learning process or artificial intelligence process to at least one of the element of input data, the element of response data, or the exception data;
based on the application of the trained machine learning process or artificial intelligence process, determine a modification to a portion of a software library associated with the programmatic interface; and
access one or more software libraries associated with the programmatic interface, and perform operations that implement the determined modification to the portion of the software library, the implemented modification being associated with the at least one functionality.
11. The apparatus of claim 1 , wherein the at least one processor is further configured to:
perform operations that instantiate a virtual machine, the virtual machine being provisioned with elements of processing logic; and
execute the virtual machine in accordance with the elements of processing logic, the executed virtual machine performing operations generate the element of input data and provide the element of input data to the programmatic interface.
12. A computer-implemented method, comprising:
based on data associated with a triggering event, and using at least one processor, providing an element of input data to a programmatic interface, and obtaining an element of response data from the programmatic interface, the element of response data being generated by the programmatic interface based on the element of input data;
using the at least one processor, determining that the element of response data deviates from an expected response of the programmatic interface to the element of input data, and generating exception data characterizing the determined deviation; and
performing, using the at least one processor, operations that modify at least one functionality of the programmatic interface in accordance with the exception data.
13. The computer-implemented method of claim 12 , wherein:
the element of input data is consumable by the programmatic interface, and the element of input data comprises at least a portion of the data associated with the triggering event; and
the computer-implemented method further comprises:
obtaining, using the at least one processor, specification data associated with the programmatic interface, the specification data characterizing the at least on of an expected structure or an expected composition of the element of input data; and
generating, using the at least one processor, the element of input data based on the data associated with the triggering event and the specification data.
14. The computer-implemented method of claim 13 , wherein at least one of a structure or a composition of the element of input data is consistent with a corresponding one of the expected structure or the expected composition.
15. The computer-implemented method of claim 13 , wherein:
at least one of a structure or a composition of the element of input data deviates from a corresponding one of the expected structure or the expected composition; and
the expected response of the programmatic interface to the element of input data comprises an error message.
16. The computer-implemented method of claim 12 , further comprising:
obtaining elements of session data using the at least one processor, each of the elements of session data being associated with an additional element of input data, an additional element of response data, and one of (i) additional exception data indicative of a deviation of the additional element of response data from the expected response or (ii) consistency data indicative of a consistency between the additional element of response data and the expected response; and
computing, using the at least one processor and based on the elements of session data, a value of an exception metric indicative of an incidence of the deviations between additional elements of response data and the expected response of the programmatic interface.
17. The computer-implemented method of claim 16 , further comprising:
determining, using the at least one processor, that the value of the exception metric exceeds a threshold value; and
based on the determination that the value of the exception metric exceeds the threshold value, performing, using the at least one processor, the operations that modify the at least one functionality of the programmatic interface.
18. A tangible, non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform a method, comprising:
based on data associated with a triggering event, and using at least one processor, providing an element of input data to a programmatic interface, and obtaining an element of response data from the programmatic interface, the element of response data being generated by the programmatic interface based on the element of input data;
using the at least one processor, determining that the element of response data deviates from an expected response of the programmatic interface to the corresponding element of input data, and generating exception data characterizing the determined deviation; and
performing, using the at least one processor, operations that modify at least one functionality of the programmatic interface in accordance with the exception data.
19. The apparatus of claim 1 , wherein the at least one processor is further configured to execute the instructions to:
access a triggering event queue maintained within the memory, the triggering event queue comprising data associated with a plurality of triggering elements, the data associated with each of the triggering events comprising a corresponding element of temporal data; and
obtain the data associated with a triggering event from the triggering event queue based on the corresponding element of temporal data.
20. The apparatus of claim 1 , wherein:
the element of input data is consumable by the programmatic interface, and the element of input data comprises at least a portion of the data associated with the triggering event; and
the expected response of the programmatic interface to the element of input data comprises an error message, the error message being indicative of a deviation of at least one of a structure or a composition of the element of input data from a corresponding one of an expected structure or an expected composition.