feat(test): comprehensive test coverage #114
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Description
This pull request introduces comprehensive unit test coverage across multiple core modules of the flare_ai_kit project, significantly improving reliability, maintainability, and developer confidence.
The tests validate critical functionality, error handling, and edge cases for:
Ecosystem: Ensures correct behavior for Gemini embeddings, including successful embedding generation, empty input handling, and API error conditions.
Consensus: Covers prediction strategies, validating data model creation and ensuring required fields (e.g., agent_id) are enforced.
RAG (Retrieval-Augmented Generation): Verifies vector search, document chunking, and embedding consistency.
Ingestion: Adds thorough tests for:
GitHubIngestor – repository cloning, file filtering, chunk generation, and cleanup logic.
PDFProcessor – dynamic Pydantic model creation, PDF text extraction
closes #108