API Mocking for Virtual Assistant Testing
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Solution Overview
Problem
The cumbersome process of backend data conditioning and communication with live systems during virtual assistant testing slows down the testing process, making it inefficient for testing multiple human-like profiles.
Innovation Solution
A system for real-time management of HTTP session objects and API mocking, which generates mocked-up data and API stubs to simulate backend systems, allowing for transparent and accelerated testing without differentiating between live and local data origins.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If backend data conditioning and communication with live systems is used during virtual assistant testing, then data accuracy and system integration are improved, but testing speed and efficiency deteriorate due to lengthy communications and wait times
Solution Approach 1:
The patent creates mocked-up versions of backend systems that replicate the structure, interfaces, and data formats of live backend systems. These mocks include simulated API responses, session objects, and data structures that mirror production environments, allowing virtual assistant testing to proceed at full speed without actual backend communication delays while maintaining data accuracy and integration validation.
Solution Approach 2:
The system pre-generates and caches mocked backend responses, session objects, and API stubs before testing begins. This preliminary preparation of test data and simulated system behaviors eliminates the need for real-time backend communication during testing, thereby removing wait times and communication overhead while preserving the ability to validate system integration and data accuracy.
2Reliability
If real backend systems are used during testing, then system integration and data accuracy are improved, but testing complexity and setup time worsen due to cumbersome backend data conditioning
Solution Approach 1:
The patent implements mocked backend systems that replicate the structural and behavioral characteristics of live backends without requiring actual backend setup, configuration, or data conditioning. These mocks include simulated API endpoints, session management objects, and data structures that preserve integration validation capabilities while eliminating the complexity of configuring and maintaining real backend systems during testing.
Solution Approach 2:
The system introduces an intermediary layer of mocked services that sit between the virtual assistant under test and the actual backend systems. This intermediary layer handles all backend interactions during testing, translating virtual assistant requests into simulated responses without requiring real backend connectivity or complex backend configuration, thereby simplifying testing setup while maintaining integration validation.
3Productivity
If mocked-up data and API stubs are used, then testing speed and efficiency are improved, but data realism and system fidelity worsen
Solution Approach 1:
The patent creates highly faithful replicas of backend data structures, API response formats, and session object structures that mirror production environments. These mocked data elements include realistic data types, validation rules, error responses, and business logic simulations that maintain data realism and system fidelity while enabling rapid testing execution without actual backend communication.
Solution Approach 2:
The system allows dynamic configuration of mocked data parameters, response behaviors, and session object properties to match specific testing scenarios. By adjusting mock parameters to reflect different backend states, data formats, and response patterns, the system maintains high data realism and system fidelity across various testing contexts while preserving fast mocked response times.
Data Source
AI summary
A system for real-time management of a plurality of session objects and for mocking a plurality of application programming interfaces (APIs). The system may include a cluster of servers. Each server may provide a backend service to a virtual assistant. Each backend service may execute an API. The system may also include a computing device operable to execute the virtual assistant in a test mode. The system may include a communication channel between the computing device and the cluster of servers. The communication channel may transmit API requests from the virtual assistant to the cluster, and JSON responses from the cluster to the virtual assistant. The system may include a mocked-up services server operable to replicate the cluster. The system may include a bypass communication channel between the communication channel and mocked-up services server. The bypass communication channel may redirect API requests to the mocked-up services server.