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Agent-sdk integration for SWE bench-styled tasks #2
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@@ -3,7 +3,7 @@ | |
| import asyncio | ||
| from copy import deepcopy | ||
| from platoon.envs.base import Task | ||
| from platoon.openhands.types import OpenHandsObservation, OpenHandsAction | ||
| from .types import OpenHandsObservation, OpenHandsAction | ||
| from platoon.utils.openhands_utils import get_actions_for_last_obs | ||
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Owner
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Let's move the openhands utils into the openhands plugin |
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| from platoon.utils.openhands_utils import is_finished | ||
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| from __future__ import annotations | ||
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| from platoon.envs.base import Task | ||
| from .types import OpenHandsObservation, OpenHandsTrajectoryStep, OpenHandsAction | ||
| from platoon.openhands.types import OpenHandsObservation, OpenHandsTrajectoryStep, OpenHandsAction | ||
| from openhands.sdk.conversation import get_agent_final_response | ||
| from openhands.sdk.conversation.base import BaseConversation | ||
| from openhands.sdk.agent.base import AgentBase | ||
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@@ -75,6 +75,9 @@ async def step(self, action: OpenHandsAction) -> OpenHandsObservation: | |
| if self._state.conversation_state.agent_status == ConversationExecutionStatus.STUCK: | ||
| error_message.set("Agent got stuck") | ||
| self._state.misc["error_message"] = error_message.get() | ||
| elif self._state.conversation_state.agent_status == ConversationExecutionStatus.ERROR: #TODO: check | ||
| error_message.set("Agent encountered an error") | ||
| self._state.misc["error_message"] = error_message.get() | ||
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| traj_collection = current_trajectory_collection.get() | ||
| traj = current_trajectory.get() | ||
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@@ -88,6 +91,9 @@ async def close(self) -> None: | |
| if self._conversation is not None: | ||
| self._conversation.close() | ||
| self._conversation = None | ||
| # TODO: check if cleaning up workspace manually is required | ||
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Owner
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Let's tackle the TODOs before merging changes, if they are quick enough to do. |
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| if isinstance(self._workspace, BaseWorkspace): | ||
| await self._workspace.cleanup() | ||
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| # TODO: Consider adding a return_copy option here. | ||
| async def observe(self) -> OpenHandsObservation: | ||
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| # platoon-openhands-rl | ||
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Owner
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Instead of openhands-rl I wonder if we should name this plugin something like swe-issue-resolution? |
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| Platoon plugin for intermediate rewards with the OpenHands software agent SDK. | ||
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| ## Installation | ||
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| This plugin depends on: | ||
| - **platoon** (core library) | ||
| - **platoon-openhands** (OpenHands plugin) | ||
| - **areal** backend (for RL training) | ||
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| ### Prerequisites | ||
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| - Python 3.12 | ||
| - [uv](https://docs.astral.sh/uv/) package manager | ||
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| ### Step-by-step installation | ||
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| We recommend installing into a dedicated virtual environment (not in home directory for Babel space usage constraints). The instructions below use a custom location (`/data/user_data/<username>/uv_cache/platoon/`), but you can use any path. In Babel, use a compute node (not a CPU node) so that GPU is detected during torch installation | ||
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| Assuming you are in project root directory. | ||
| ```bash | ||
| # Create directory for the environment | ||
| export VIRTUAL_ENV=/data/user_data/<username>/uv_cache/platoon | ||
| export UV_CACHE_DIR=/data/user_data/<username>/uv_cache/.cache | ||
| uv sync --active --extra areal --extra wandb | ||
| mkdir -p /data/user_data/$USER/uv_cache/platoon | ||
| source /data/user_data/<username>/uv_cache/platoon/bin/activate | ||
| uv pip install -e plugins/openhands | ||
| uv pip install -e plugins/openhands_rl | ||
| ``` | ||
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| ### Verify installation | ||
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| ```bash | ||
| python -c " | ||
| from platoon.openhands import * | ||
| from platoon.openhands_rl import * | ||
| print('All packages imported successfully!') | ||
| " | ||
| ``` | ||
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Owner
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Let's remove this file for now if it is not needed yet. |
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| @@ -0,0 +1,24 @@ | ||
| from pathlib import Path | ||
| from platoon.utils.openhands_utils import is_finished | ||
| from platoon.episode.context import current_trajectory_collection, current_trajectory, finish_message, error_message | ||
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| from openhands.sdk import get_logger | ||
| from platoon.envs.base import Task | ||
| from openhands.sdk.agent import AgentBase | ||
| from openhands.sdk.workspace import BaseWorkspace | ||
| from openhands.sdk.conversation import Conversation, BaseConversation, get_agent_final_response | ||
| #TODO: check below imports | ||
| from platoon.openhands.env import OpenHandsEnv | ||
| from platoon.openhands.types import OpenHandsObservation, OpenHandsAction, OpenHandsTrajectoryStep | ||
| import threading | ||
| import asyncio | ||
| from platoon.utils.openhands_utils import get_obs_for_last_action | ||
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| logger = get_logger(__name__) | ||
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| # TODO: double-check if we really need to over-ride any other methods from OpenHandsEnv | ||
| # NOTE: The primary job of this class is to implement the step-wise reward functionality. | ||
| class OpenHandsRLEnv(OpenHandsEnv): | ||
| async def evaluate(self) -> tuple[float, dict]: | ||
| raise NotImplementedError("OpenHandsRLEnv does not implement evaluate() --> this is something which Aditya will do soon.") | ||
| return 0., {} |
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| I have access to a python code repository in the directory {{ instance.repo_path }} . You can explore and modify files using the available tools. Consider the following issue description: | ||
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| <issue_description> | ||
| {{ instance.problem_statement }} | ||
| </issue_description> | ||
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| Can you help me implement the necessary changes to the repository so that the requirements specified in the <issue_description> are met? | ||
| I've already taken care of all changes to any of the test files described in the <issue_description>. This means you DON'T have to modify the testing logic or any of the tests in any way! | ||
| Also the development Python environment is already set up for you (i.e., all dependencies already installed), so you don't need to install other packages. | ||
| Your task is to make the minimal changes to non-test files in the {{ instance.repo_path }} directory to ensure the <issue_description> is satisfied. | ||
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| Follow these phases to resolve the issue: | ||
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| Phase 1. READING: read the problem and reword it in clearer terms | ||
| 1.1 If there are code or config snippets. Express in words any best practices or conventions in them. | ||
| 1.2 Hightlight message errors, method names, variables, file names, stack traces, and technical details. | ||
| 1.3 Explain the problem in clear terms. | ||
| 1.4 Enumerate the steps to reproduce the problem. | ||
| 1.5 Hightlight any best practices to take into account when testing and fixing the issue | ||
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| Phase 2. RUNNING: install and run the tests on the repository | ||
| 2.1 Activate the environment by running | ||
| ./opt/miniconda3/etc/profile.d/conda.sh ; conda activate testbed | ||
| 2.2 Follow the readme | ||
| 2.3 Install the environment and anything needed | ||
| 2.4 Iterate and figure out how to run the tests | ||
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| Phase 3. EXPLORATION: find the files that are related to the problem and possible solutions | ||
| 3.1 Use `grep` to search for relevant methods, classes, keywords and error messages. | ||
| 3.2 Identify all files related to the problem statement. | ||
| 3.3 Propose the methods and files to fix the issue and explain why. | ||
| 3.4 From the possible file locations, select the most likely location to fix the issue. | ||
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| Phase 4. TEST CREATION: before implementing any fix, create a script to reproduce and verify the issue. | ||
| 4.1 Look at existing test files in the repository to understand the test format/structure. | ||
| 4.2 Create a minimal reproduction script that reproduces the located issue. | ||
| 4.3 Run the reproduction script to confirm you are reproducing the issue. | ||
| 4.4 Adjust the reproduction script as necessary. | ||
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| Phase 5. FIX ANALYSIS: state clearly the problem and how to fix it | ||
| 5.1 State clearly what the problem is. | ||
| 5.2 State clearly where the problem is located. | ||
| 5.3 State clearly how the test reproduces the issue. | ||
| 5.4 State clearly the best practices to take into account in the fix. | ||
| 5.5 State clearly how to fix the problem. | ||
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| Phase 6. FIX IMPLEMENTATION: Edit the source code to implement your chosen solution. | ||
| 6.1 Make minimal, focused changes to fix the issue. | ||
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| Phase 7. VERIFICATION: Test your implementation thoroughly. | ||
| 7.1 Run your reproduction script to verify the fix works. | ||
| 7.2 Add edge cases to your test script to ensure comprehensive coverage. | ||
| 7.3 Run existing tests related to the modified code to ensure you haven't broken anything. | ||
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| 8. FINAL REVIEW: Carefully re-read the problem description and compare your changes with the base commit {{ instance.base_commit }}. | ||
| 8.1 Ensure you've fully addressed all requirements. | ||
| 8.2 Run any tests in the repository related to: | ||
| 8.2.1 The issue you are fixing | ||
| 8.2.2 The files you modified | ||
| 8.2.3 The functions you changed | ||
| 8.3 If any tests fail, revise your implementation until all tests pass | ||
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| Be thorough in your exploration, testing, and reasoning. It's fine if your thinking process is lengthy - quality and completeness are more important than brevity. |
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this change doesn't seem necessary?