03Requirements
Generated tests are bounded by the ingested product knowledge. Script generation does not establish that a test is correct or safe to run.
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A RAG prototype that turns product documentation into draft test scenarios, test cases and Selenium scripts for review.
A retrieval-augmented pipeline ingests domain knowledge, retrieves context and uses an LLM to generate test scenarios, cases and Selenium scripts.
Product documents describe expected behaviour, but that knowledge must be translated into concrete scenarios before it becomes test automation.
Feature: account sign-in Expected behaviour: A user with valid credentials can access their dashboard.
Generated tests are bounded by the ingested product knowledge. Script generation does not establish that a test is correct or safe to run.
/upload accepts product knowledge for ingestion.
Application documentation, retrieved document chunks, test scenarios and structured test cases.
A staged workflow translates documents into retrieved context, scenarios, test cases and Selenium scripts, keeping intermediate outputs inspectable.
Asynchronous Python and FastAPI expose /upload, /query, /testcase and /script. The retrieval stack combines all-MiniLM-L6-v2 embeddings with ChromaDB; Gemini and LangChain support generation.
Separate ingestion, retrieval, test generation and script generation into inspectable API stages. Reuse the same contextual knowledge throughout the pipeline.
No measured test coverage, pass rate or generation accuracy has been supplied. Generated scripts should be reviewed and evaluated against the actual application.
The prototype connects domain knowledge to generated test artifacts. The portfolio walkthrough illustrates those stages without uploading documents or executing an agent or browser test.
Retrieving sufficient context, avoiding unsupported test assumptions and translating expected behaviour into robust selectors and assertions.
Inspectable intermediate representations make generated test automation easier to reason about and review.
Add a benchmark of grounded scenarios, validate generated scripts in an isolated environment and document failure-repair behaviour.
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