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improve ask_line tool(add conversation history context)

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benedict.lee
2025-04-09 23:45:04 +09:00
parent edaab4b6b1
commit b53d2773a9
5 changed files with 218 additions and 0 deletions
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75
pr_agent/tools/pr_line_questions.py
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@ -35,6 +35,7 @@ class PR_LineQuestions:
"question": self.question_str,
"full_hunk": "",
"selected_lines": "",
"conversation_history": "",
}
self.token_handler = TokenHandler(self.git_provider.pr,
self.vars,
@ -42,6 +43,9 @@ class PR_LineQuestions:
get_settings().pr_line_questions_prompt.user)
self.patches_diff = None
self.prediction = None
# get settings for use conversation history
self.use_conversation_history = get_settings().pr_questions.use_conversation_history
def parse_args(self, args):
if args and len(args) > 0:
@ -56,6 +60,10 @@ class PR_LineQuestions:
# if get_settings().config.publish_output:
# self.git_provider.publish_comment("Preparing answer...", is_temporary=True)
# set conversation history if enabled
if self.use_conversation_history:
self._load_conversation_history()
self.patch_with_lines = ""
ask_diff = get_settings().get('ask_diff_hunk', "")
line_start = get_settings().get('line_start', '')
@ -92,6 +100,73 @@ class PR_LineQuestions:
self.git_provider.publish_comment(model_answer_sanitized)
return ""
def _load_conversation_history(self):
"""generate conversation history from the code review thread"""
try:
comment_id = get_settings().get('comment_id', '')
file_path = get_settings().get('file_name', '')
line_number = get_settings().get('line_end', '')
# return if no comment id or file path and line number
if not (comment_id or (file_path and line_number)):
return
# initialize conversation history
conversation_history = []
if hasattr(self.git_provider, 'get_review_thread_comments') and comment_id:
try:
# get review thread comments
thread_comments = self.git_provider.get_review_thread_comments(comment_id)
# current question id (this question is excluded from the context)
current_question_id = comment_id
# generate conversation history from the comments
for comment in thread_comments:
# skip empty comments
body = getattr(comment, 'body', '')
if not body or not body.strip():
continue
# except for current question
if current_question_id and str(comment.id) == str(current_question_id):
continue
# remove the AI command (/ask etc) from the beginning of the comment (optional)
clean_body = body
if clean_body.startswith('/'):
clean_body = clean_body.split('\n', 1)[-1] if '\n' in clean_body else ''
if not clean_body.strip():
continue
# author info
user = comment.user
author = user.login if hasattr(user, 'login') else 'Unknown'
# confirm if the author is the current user (AI vs user)
is_ai = 'bot' in author.lower() or '[bot]' in author.lower()
role = 'AI' if is_ai else 'User'
# append to the conversation history
conversation_history.append(f"{role} ({author}): {clean_body}")
# transform the conversation history to a string
if conversation_history:
self.vars["conversation_history"] = "\n\n".join(conversation_history)
get_logger().info(f"Loaded {len(conversation_history)} comments from the code review thread")
else:
self.vars["conversation_history"] = ""
except Exception as e:
get_logger().warning(f"Failed to get review thread comments: {e}")
self.vars["conversation_history"] = ""
except Exception as e:
get_logger().error(f"Error loading conversation history: {e}")
self.vars["conversation_history"] = ""
async def _get_prediction(self, model: str):
variables = copy.deepcopy(self.vars)