Added MyOpenCRE page with functionality and also made ui changes in chatbot #626
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Here is the changes -
A GET endpoint (/rest/v1/cre_csv) that dynamically generates and serves a pre-formatted, up-to-date CSV mapping template from the live database.
A POST endpoint (/rest/v1/cre_csv/suggest) that accepts CSV file uploads, processes the data, and returns an enriched file.
2- Engineered the Core AI Logic: Implemented the AI pipeline that uses a Large Language Model (LLM) via the OpenAI API to generate text embeddings from security control descriptions, enabling high-speed semantic similarity searches.
3- Created an Intelligent Suggestion & Reporting System: The backend intelligently suggests high-confidence CRE mappings by comparing embeddings. It also fulfills a key stretch goal by adding a "Status" column to the output, explicitly flagging entries that require human review due to low confidence or missing data.
Here is the screenshots of frontend -
