- 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.
- Implemented parser for executing AVAP files within a Docker container (parser v1.py).
- Created a script to send AVAP code to a local server and handle responses (parser v2.py).
- Introduced a mock MBAP test harness to validate AVAP code against expected outputs (mbap_tester.py).
- Added transformation logic to convert AVAP code into Python-like syntax for testing purposes.
- Enhanced error handling and output formatting in the testing harness.
- 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.
- Introduced sections on Persistence, Connectors, and Native ORM, detailing the avapConnector, ORM commands, and data access abstraction.
- Documented System Utilities and Transformation, covering time management, string manipulation, and security operations.
- Explained Function Architecture and Scopes, including function definition, invocation, and middleware usage.
- Provided a Master Example that integrates various sections to demonstrate practical application.
- Detailed the dynamic nature of AVAP™ as a programming language, including dynamic typing and memory management.
- Established notation conventions and lexical analysis processes for code clarity and structure.
- Outlined data types and structures available in AVAP™, emphasizing their usage in program development.
- Discussed variable management, including local and global variables, and best practices for comments.
- Explained expressions in AVAP™, including types, operators, and practical examples with lists.
- 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
pseco