- Changed Elasticsearch index from "avap-docs-test-v3" to "avap-docs-test-v4" in elasticsearch_ingestion.py.
- Removed unused import SystemMessage from langchain_core.messages in translate_mbpp.py.
- Added import for Lark in chunk.py to support new functionality.
- Changed Elasticsearch index from "avap-docs-test-v3" to "avap-docs-test-v4" in elasticsearch_ingestion.py.
- Added Lark parser for AVAP code processing in chunk.py.
- Enhanced metadata extraction for processed documents, including AST for AVAP files.
- Improved error handling for AVAP code parsing.
- Added `export_documents` function to save processed documents to JSON.
- Extended `ElasticHandshake` to include chunk metadata during ingestion.
- Updated `process_documents` to include extra metadata for each chunk.
- Modified `ingest_documents` to return Elasticsearch responses for further processing.
- Adjusted `elasticsearch_ingestion` command to accept output path for exported JSON.
- Added output path parameter to elasticsearch_ingestion command for exporting processed documents.
- Implemented ElasticHandshakeWithMetadata class to preserve chunk metadata during ingestion.
- Updated process_documents function to include extra metadata for each chunk.
- Modified ingest_documents function to return Elasticsearch response for each chunk.
- Introduced export_documents function to save processed documents as JSON files.
- Updated `elasticsearch_ingestion.py` to streamline document processing and ingestion into Elasticsearch.
- Introduced `generate_mbap.py` for generating benchmark problems in AVAP language from a provided LRM.
- Created `prompts.py` to define prompts for converting Python problems to AVAP.
- Enhanced chunk processing in `chunk.py` to support markdown and AVAP documents.
- Added `OllamaEmbeddings` class in `embeddings.py` for handling embeddings with Ollama model.
- Updated dependencies in `uv.lock` to include new packages and versions.
- 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 `replace_javascript_with_avap` function to handle text replacement.
- Created `read_concat_files` function to read and concatenate files with a specified prefix, replacing JavaScript markers.
- Added functionality to read files from a specified directory and process their contents.
- Implemented `elasticsearch_ingestion` function to handle document ingestion into Elasticsearch.
- Created `build_chunks_from_folder` function to read and clean text files, generating document chunks.
- Added logging for better traceability during the ingestion process.
- Updated `uv.lock` to include `boto3` as a new dependency.
acano
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