| from src.sdlc.states.states import State | |
| from langgraph.graph import END | |
| from langgraph.types import interrupt | |
| from src.sdlc import logger | |
| class CodeFeedback: | |
| """ | |
| Node logic implementation matching your working UserStoriesFeedback pattern | |
| """ | |
| def process(self, state: State): | |
| """No-op node that gets interrupted""" | |
| logger.info("[DEBUG] Entering human_fb_code process") | |
| human_code_review = interrupt( | |
| { | |
| "generated_code_review": state.get("generated_code_review","") | |
| } | |
| ) | |
| # Update the state with the human's input or route the graph based on the input. | |
| logger.info(f"[DEBUG] Resuming human_fb_code process.Received code review : {human_code_review}") | |
| return { | |
| "generated_code_review": human_code_review | |
| } | |
| # def code_file_review(self, state: State): | |
| # """Return the next node to execute based on review status""" | |
| # code_review = state.get('generated_code_review', '') | |
| # print("IN CODE REVIEW of Code Feedback:", code_review) | |
| # # If we have review data, decide next step | |
| # if code_review: | |
| # # Assuming code_review is a dict with an 'approved' flag | |
| # # if code_review.get('approved', False): | |
| # # return END # Proceed to end if approved | |
| # print("Interrupting human feedback") | |
| # return "human_fb_code" # Return for revisions if not approved | |
| # # Default path when no review exists yet | |
| # return "security_review_node" | |