OpenHands / openhands /resolver /interfaces /issue_definitions.py
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import json
import os
import re
from typing import Any, ClassVar
import jinja2
from openhands.core.config import LLMConfig
from openhands.events.event import Event
from openhands.llm.llm import LLM
from openhands.resolver.interfaces.issue import (
Issue,
IssueHandlerInterface,
ReviewThread,
)
from openhands.resolver.utils import extract_image_urls
class ServiceContext:
issue_type: ClassVar[str]
default_git_patch: ClassVar[str] = 'No changes made yet'
def __init__(self, strategy: IssueHandlerInterface, llm_config: LLMConfig | None):
self._strategy = strategy
if llm_config is not None:
self.llm = LLM(llm_config)
def set_strategy(self, strategy: IssueHandlerInterface) -> None:
self._strategy = strategy
# Strategy context interface
class ServiceContextPR(ServiceContext):
issue_type: ClassVar[str] = 'pr'
def __init__(self, strategy: IssueHandlerInterface, llm_config: LLMConfig):
super().__init__(strategy, llm_config)
def get_clone_url(self) -> str:
return self._strategy.get_clone_url()
def download_issues(self) -> list[Any]:
return self._strategy.download_issues()
def guess_success(
self,
issue: Issue,
history: list[Event],
git_patch: str | None = None,
) -> tuple[bool, None | list[bool], str]:
"""Guess if the issue is fixed based on the history, issue description and git patch.
Args:
issue: The issue to check
history: The agent's history
git_patch: Optional git patch showing the changes made
"""
last_message = history[-1].message
issues_context = json.dumps(issue.closing_issues, indent=4)
success_list = []
explanation_list = []
# Handle PRs with file-specific review comments
if issue.review_threads:
for review_thread in issue.review_threads:
if issues_context and last_message:
success, explanation = self._check_review_thread(
review_thread, issues_context, last_message, git_patch
)
else:
success, explanation = False, 'Missing context or message'
success_list.append(success)
explanation_list.append(explanation)
# Handle PRs with only thread comments (no file-specific review comments)
elif issue.thread_comments:
if issue.thread_comments and issues_context and last_message:
success, explanation = self._check_thread_comments(
issue.thread_comments, issues_context, last_message, git_patch
)
else:
success, explanation = (
False,
'Missing thread comments, context or message',
)
success_list.append(success)
explanation_list.append(explanation)
elif issue.review_comments:
# Handle PRs with only review comments (no file-specific review comments or thread comments)
if issue.review_comments and issues_context and last_message:
success, explanation = self._check_review_comments(
issue.review_comments, issues_context, last_message, git_patch
)
else:
success, explanation = (
False,
'Missing review comments, context or message',
)
success_list.append(success)
explanation_list.append(explanation)
else:
# No review comments, thread comments, or file-level review comments found
return False, None, 'No feedback was found to process'
# Return overall success (all must be true) and explanations
if not success_list:
return False, None, 'No feedback was processed'
return all(success_list), success_list, json.dumps(explanation_list)
def get_converted_issues(
self, issue_numbers: list[int] | None = None, comment_id: int | None = None
) -> list[Issue]:
return self._strategy.get_converted_issues(issue_numbers, comment_id)
def get_instruction(
self,
issue: Issue,
user_instructions_prompt_template: str,
conversation_instructions_prompt_template: str,
repo_instruction: str | None = None,
) -> tuple[str, str, list[str]]:
"""Generate instruction for the agent."""
user_instruction_template = jinja2.Template(user_instructions_prompt_template)
conversation_instructions_template = jinja2.Template(
conversation_instructions_prompt_template
)
images = []
issues_str = None
if issue.closing_issues:
issues_str = json.dumps(issue.closing_issues, indent=4)
images.extend(extract_image_urls(issues_str))
# Handle PRs with review comments
review_comments_str = None
if issue.review_comments:
review_comments_str = json.dumps(issue.review_comments, indent=4)
images.extend(extract_image_urls(review_comments_str))
# Handle PRs with file-specific review comments
review_thread_str = None
review_thread_file_str = None
if issue.review_threads:
review_threads = [
review_thread.comment for review_thread in issue.review_threads
]
review_thread_files = []
for review_thread in issue.review_threads:
review_thread_files.extend(review_thread.files)
review_thread_str = json.dumps(review_threads, indent=4)
review_thread_file_str = json.dumps(review_thread_files, indent=4)
images.extend(extract_image_urls(review_thread_str))
# Format thread comments if they exist
thread_context = ''
if issue.thread_comments:
thread_context = '\n---\n'.join(issue.thread_comments)
images.extend(extract_image_urls(thread_context))
user_instruction = user_instruction_template.render(
review_comments=review_comments_str,
review_threads=review_thread_str,
files=review_thread_file_str,
thread_context=thread_context,
)
conversation_instructions = conversation_instructions_template.render(
issues=issues_str, repo_instruction=repo_instruction
)
return user_instruction, conversation_instructions, images
def _check_feedback_with_llm(self, prompt: str) -> tuple[bool, str]:
"""Helper function to check feedback with LLM and parse response."""
response = self.llm.completion(messages=[{'role': 'user', 'content': prompt}])
answer = response.choices[0].message.content.strip()
pattern = r'--- success\n*(true|false)\n*--- explanation*\n((?:.|\n)*)'
match = re.search(pattern, answer)
if match:
return match.group(1).lower() == 'true', match.group(2).strip()
return False, f'Failed to decode answer from LLM response: {answer}'
def _check_review_thread(
self,
review_thread: ReviewThread,
issues_context: str,
last_message: str,
git_patch: str | None = None,
) -> tuple[bool, str]:
"""Check if a review thread's feedback has been addressed."""
files_context = json.dumps(review_thread.files, indent=4)
with open(
os.path.join(
os.path.dirname(__file__),
'../prompts/guess_success/pr-feedback-check.jinja',
),
'r',
) as f:
template = jinja2.Template(f.read())
prompt = template.render(
issue_context=issues_context,
feedback=review_thread.comment,
files_context=files_context,
last_message=last_message,
git_patch=git_patch or self.default_git_patch,
)
return self._check_feedback_with_llm(prompt)
def _check_thread_comments(
self,
thread_comments: list[str],
issues_context: str,
last_message: str,
git_patch: str | None = None,
) -> tuple[bool, str]:
"""Check if thread comments feedback has been addressed."""
thread_context = '\n---\n'.join(thread_comments)
with open(
os.path.join(
os.path.dirname(__file__),
'../prompts/guess_success/pr-thread-check.jinja',
),
'r',
) as f:
template = jinja2.Template(f.read())
prompt = template.render(
issue_context=issues_context,
thread_context=thread_context,
last_message=last_message,
git_patch=git_patch or self.default_git_patch,
)
return self._check_feedback_with_llm(prompt)
def _check_review_comments(
self,
review_comments: list[str],
issues_context: str,
last_message: str,
git_patch: str | None = None,
) -> tuple[bool, str]:
"""Check if review comments feedback has been addressed."""
review_context = '\n---\n'.join(review_comments)
with open(
os.path.join(
os.path.dirname(__file__),
'../prompts/guess_success/pr-review-check.jinja',
),
'r',
) as f:
template = jinja2.Template(f.read())
prompt = template.render(
issue_context=issues_context,
review_context=review_context,
last_message=last_message,
git_patch=git_patch or self.default_git_patch,
)
return self._check_feedback_with_llm(prompt)
class ServiceContextIssue(ServiceContext):
issue_type: ClassVar[str] = 'issue'
def __init__(self, strategy: IssueHandlerInterface, llm_config: LLMConfig | None):
super().__init__(strategy, llm_config)
def get_base_url(self) -> str:
return self._strategy.get_base_url()
def get_branch_url(self, branch_name: str) -> str:
return self._strategy.get_branch_url(branch_name)
def get_download_url(self) -> str:
return self._strategy.get_download_url()
def get_clone_url(self) -> str:
return self._strategy.get_clone_url()
def get_graphql_url(self) -> str:
return self._strategy.get_graphql_url()
def get_headers(self) -> dict[str, str]:
return self._strategy.get_headers()
def get_authorize_url(self) -> str:
return self._strategy.get_authorize_url()
def get_pull_url(self, pr_number: int) -> str:
return self._strategy.get_pull_url(pr_number)
def get_compare_url(self, branch_name: str) -> str:
return self._strategy.get_compare_url(branch_name)
def download_issues(self) -> list[Any]:
return self._strategy.download_issues()
def get_branch_name(
self,
base_branch_name: str,
) -> str:
return self._strategy.get_branch_name(base_branch_name)
def branch_exists(self, branch_name: str) -> bool:
return self._strategy.branch_exists(branch_name)
def get_default_branch_name(self) -> str:
return self._strategy.get_default_branch_name()
def create_pull_request(self, data: dict[str, Any] | None = None) -> dict[str, Any]:
if data is None:
data = {}
return self._strategy.create_pull_request(data)
def request_reviewers(self, reviewer: str, pr_number: int) -> None:
return self._strategy.request_reviewers(reviewer, pr_number)
def reply_to_comment(self, pr_number: int, comment_id: str, reply: str) -> None:
return self._strategy.reply_to_comment(pr_number, comment_id, reply)
def send_comment_msg(self, issue_number: int, msg: str) -> None:
return self._strategy.send_comment_msg(issue_number, msg)
def get_issue_comments(
self, issue_number: int, comment_id: int | None = None
) -> list[str] | None:
return self._strategy.get_issue_comments(issue_number, comment_id)
def get_instruction(
self,
issue: Issue,
user_instructions_prompt_template: str,
conversation_instructions_prompt_template: str,
repo_instruction: str | None = None,
) -> tuple[str, str, list[str]]:
"""Generate instruction for the agent."""
# Format thread comments if they exist
thread_context = ''
if issue.thread_comments:
thread_context = '\n\nIssue Thread Comments:\n' + '\n---\n'.join(
issue.thread_comments
)
images = []
images.extend(extract_image_urls(issue.body))
images.extend(extract_image_urls(thread_context))
user_instructions_template = jinja2.Template(user_instructions_prompt_template)
user_instructions = user_instructions_template.render(
body=issue.title + '\n\n' + issue.body + thread_context
) # Issue body and comments
conversation_instructions_template = jinja2.Template(
conversation_instructions_prompt_template
)
conversation_instructions = conversation_instructions_template.render(
repo_instruction=repo_instruction,
)
return user_instructions, conversation_instructions, images
def guess_success(
self, issue: Issue, history: list[Event], git_patch: str | None = None
) -> tuple[bool, None | list[bool], str]:
"""Guess if the issue is fixed based on the history and the issue description.
Args:
issue: The issue to check
history: The agent's history
git_patch: Optional git patch showing the changes made
"""
last_message = history[-1].message
# Include thread comments in the prompt if they exist
issue_context = issue.body
if issue.thread_comments:
issue_context += '\n\nIssue Thread Comments:\n' + '\n---\n'.join(
issue.thread_comments
)
with open(
os.path.join(
os.path.dirname(__file__),
'../prompts/guess_success/issue-success-check.jinja',
),
'r',
) as f:
template = jinja2.Template(f.read())
prompt = template.render(
issue_context=issue_context,
last_message=last_message,
git_patch=git_patch or self.default_git_patch,
)
response = self.llm.completion(messages=[{'role': 'user', 'content': prompt}])
answer = response.choices[0].message.content.strip()
pattern = r'--- success\n*(true|false)\n*--- explanation*\n((?:.|\n)*)'
match = re.search(pattern, answer)
if match:
return match.group(1).lower() == 'true', None, match.group(2)
return False, None, f'Failed to decode answer from LLM response: {answer}'
def get_converted_issues(
self, issue_numbers: list[int] | None = None, comment_id: int | None = None
) -> list[Issue]:
return self._strategy.get_converted_issues(issue_numbers, comment_id)