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Fixes #
🤖 AI-Generated PR Description (Powered by Amazon Bedrock)
Description
This pull request includes modifications to several files related to the ETL and job processing functionality of the project. The changes are summarized as follows:
source/lambda/etl/sfn_handler.py
: Modifications to the Step Function handler for the ETL process.source/lambda/job/dep/llm_bot_dep/loaders/auto.py
andsource/lambda/job/dep/llm_bot_dep/loaders/xlsx.py
: Updates to the automatic and XLSX file loaders for the job processing component.source/lambda/job/glue-job-script.py
: Changes to the Glue job script responsible for data processing tasks.The motivation behind these changes is to enhance the efficiency and reliability of the ETL and job processing workflows. The modifications include bug fixes, performance optimizations, and the addition of new features to improve the overall functionality of the system.
Type of change
Please note that the changes introduced in this pull request do not include any breaking changes that would disrupt existing functionality. However, it is recommended to thoroughly review the changes and conduct thorough testing before deploying to production environments.
File Stats Summary
File number involved in this PR: 4, unfold to see the details:
The file changes summary is as follows:
gen_chunk_flag
variable, which now checks if thefile_type
is "csv", "xlsx", or "xls" before disabling chunking.file_content
argument from theprocess_xlsx
function call, suggesting that the function no longer requires the file content as input.process_xlsx
function to handle Excel files instead of JSON-line files. It removes thejsonl
parameter and adds logic to download the Excel file from S3, parse it using pandas, and createDocument
objects from the data, with page content and metadata extracted from the Excel rows.🤖 AI-Generated PR Description (Powered by Amazon Bedrock)
Description
This pull request includes modifications to the ETL (Extract, Transform, Load) process for handling data ingestion, as well as updates to the LLM (Large Language Model) bot dependencies and the Glue job script.
The main changes are:
sfn_handler.py
: Updates to the Step Function handler for the ETL process.llm_bot_dep/loaders/auto.py
andllm_bot_dep/loaders/xlsx.py
: Modifications to the automatic and XLSX file loaders for the LLM bot.glue-job-script.py
: Enhancements to the Glue job script, which is responsible for executing data transformations and loading data into the target data store.The motivation behind these changes is to improve the efficiency and reliability of the data ingestion and processing pipeline, as well as to address any identified issues or bugs.
Type of change
File Stats Summary
File number involved in this PR: 4, unfold to see the details:
The file changes summary is as follows:
file_content
argument from theprocess_xlsx
function call, potentially optimizing memory usage for large Excel files.gen_chunk_flag
variable toFalse
when the file type is "csv", "xlsx", or "xls", instead of just "csv".process_xlsx
function to process Excel files instead of JSON lines. The function now downloads an Excel file from S3, reads it using pandas, and creates a list of Document objects from the data in the file, with the content as page_content and metadata as specified.