- Implemented `parser v1.py` to run AVAP files in a Docker container using subprocess.
- Created `parser v2.py` to send AVAP code to a local server and handle JSON responses.
- Introduced `mbap_tester.py` as a heuristic mock executor for testing AVAP code against predefined test cases.
- Added functions for transforming AVAP code to Python and executing it in a controlled environment.
- Included error handling and summary reporting for test results in `mbap_tester.py`.
- Updated `read_files` function to return a list of dictionaries containing 'content' and 'title' keys.
- Added logic to handle concatenation of file contents and improved handling of file prefixes.
- Introduced `get_chunk_docs` function to chunk document contents using `SemanticChunker`.
- Added `convert_chunks_to_document` function to convert chunked content into `Document` objects.
- Integrated logging for chunking process.
- Updated dependencies in `uv.lock` to include `chonkie` and other related packages.
- Implemented a new script `translate_mbpp.py` to generate synthetic datasets using various LLM providers.
- Integrated the `get_prompt_mbpp` function in `prompts.py` to create prompts tailored for AVAP language conversion.
pseco
acano
rafa-ruiz