From e5198f196761ff537253f65c946a39c36459115c Mon Sep 17 00:00:00 2001 From: TIANYOU CHEN <42710806+CTY-git@users.noreply.github.com> Date: Mon, 6 Jan 2025 10:56:50 +0800 Subject: [PATCH 01/10] lint and agentic llm --- patchwork/common/client/llm/anthropic.py | 98 +- patchwork/common/client/patched.py | 7 +- patchwork/common/client/scm.py | 73 +- patchwork/common/client/sonar.py | 12 +- .../multiturn_strategy/agentic_strategy.py | 180 +++ .../multiturn_strategy/analyze_implement.py | 69 +- .../multiturn_strategy/multistage_strategy.py | 86 ++ patchwork/common/tools/agentic_tools.py | 25 + patchwork/common/tools/code_edit_tools.py | 9 +- patchwork/common/tools/tool.py | 5 +- patchwork/common/utils/utils.py | 3 +- .../GenerateCodeUsageExample.py | 20 +- .../GenerateDocstring/GenerateDocstring.py | 6 +- patchwork/patchflows/SonarFix/SonarFix.py | 8 +- patchwork/patchflows/__init__.py | 4 +- patchwork/steps/AgenticLLM/AgenticLLM.py | 30 + patchwork/steps/AgenticLLM/README.md | 9 + patchwork/steps/AgenticLLM/__init__.py | 0 patchwork/steps/AgenticLLM/typed.py | 49 + patchwork/steps/CreatePR/CreatePR.py | 3 +- .../steps/CreatePRComment/CreatePRComment.py | 2 +- patchwork/steps/ExtractCode/ExtractCode.py | 1 - patchwork/steps/FixIssue/FixIssue.py | 10 +- patchwork/steps/FixIssue/typed.py | 2 +- patchwork/steps/PreparePR/PreparePR.py | 1 - patchwork/steps/ReadIssues/ReadIssues.py | 2 +- patchwork/steps/ReadPRDiffs/ReadPRDiffs.py | 3 +- patchwork/steps/ScanSonar/ScanSonar.py | 15 +- patchwork/steps/ScanSonar/__init__.py | 2 +- patchwork/steps/ScanSonar/typed.py | 6 +- patchwork/steps/__init__.py | 2 + poetry.lock | 1245 ++++++++--------- tests/steps/test_ScanSonar.py | 33 +- 33 files changed, 1156 insertions(+), 864 deletions(-) create mode 100644 patchwork/common/multiturn_strategy/agentic_strategy.py create mode 100644 patchwork/common/multiturn_strategy/multistage_strategy.py create mode 100644 patchwork/common/tools/agentic_tools.py create mode 100644 patchwork/steps/AgenticLLM/AgenticLLM.py create mode 100644 patchwork/steps/AgenticLLM/README.md create mode 100644 patchwork/steps/AgenticLLM/__init__.py create mode 100644 patchwork/steps/AgenticLLM/typed.py diff --git a/patchwork/common/client/llm/anthropic.py b/patchwork/common/client/llm/anthropic.py index e928e0d02..e51a2d867 100644 --- a/patchwork/common/client/llm/anthropic.py +++ b/patchwork/common/client/llm/anthropic.py @@ -129,22 +129,22 @@ def __adapt_input_messages(self, messages: Iterable[ChatCompletionMessageParam]) return new_messages def __adapt_chat_completion_request( - self, - messages: Iterable[ChatCompletionMessageParam], - model: str, - frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN, - logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN, - logprobs: Optional[bool] | NotGiven = NOT_GIVEN, - max_tokens: Optional[int] | NotGiven = NOT_GIVEN, - n: Optional[int] | NotGiven = NOT_GIVEN, - presence_penalty: Optional[float] | NotGiven = NOT_GIVEN, - response_format: completion_create_params.ResponseFormat | NotGiven = NOT_GIVEN, - stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN, - temperature: Optional[float] | NotGiven = NOT_GIVEN, - tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN, - tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, - top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, - top_p: Optional[float] | NotGiven = NOT_GIVEN, + self, + messages: Iterable[ChatCompletionMessageParam], + model: str, + frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN, + logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN, + logprobs: Optional[bool] | NotGiven = NOT_GIVEN, + max_tokens: Optional[int] | NotGiven = NOT_GIVEN, + n: Optional[int] | NotGiven = NOT_GIVEN, + presence_penalty: Optional[float] | NotGiven = NOT_GIVEN, + response_format: completion_create_params.ResponseFormat | NotGiven = NOT_GIVEN, + stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN, + temperature: Optional[float] | NotGiven = NOT_GIVEN, + tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN, + tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, + top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, + top_p: Optional[float] | NotGiven = NOT_GIVEN, ): system: Union[str, Iterable[TextBlockParam]] | NotGiven = NOT_GIVEN adapted_messages = self.__adapt_input_messages(messages) @@ -208,22 +208,22 @@ def is_model_supported(self, model: str) -> bool: return model in self.__definitely_allowed_models or model.startswith(self.__allowed_model_prefix) def is_prompt_supported( - self, - messages: Iterable[ChatCompletionMessageParam], - model: str, - frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN, - logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN, - logprobs: Optional[bool] | NotGiven = NOT_GIVEN, - max_tokens: Optional[int] | NotGiven = NOT_GIVEN, - n: Optional[int] | NotGiven = NOT_GIVEN, - presence_penalty: Optional[float] | NotGiven = NOT_GIVEN, - response_format: completion_create_params.ResponseFormat | NotGiven = NOT_GIVEN, - stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN, - temperature: Optional[float] | NotGiven = NOT_GIVEN, - tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN, - tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, - top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, - top_p: Optional[float] | NotGiven = NOT_GIVEN, + self, + messages: Iterable[ChatCompletionMessageParam], + model: str, + frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN, + logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN, + logprobs: Optional[bool] | NotGiven = NOT_GIVEN, + max_tokens: Optional[int] | NotGiven = NOT_GIVEN, + n: Optional[int] | NotGiven = NOT_GIVEN, + presence_penalty: Optional[float] | NotGiven = NOT_GIVEN, + response_format: completion_create_params.ResponseFormat | NotGiven = NOT_GIVEN, + stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN, + temperature: Optional[float] | NotGiven = NOT_GIVEN, + tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN, + tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, + top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, + top_p: Optional[float] | NotGiven = NOT_GIVEN, ) -> int: model_limit = self.__get_model_limit(model) input_kwargs = self.__adapt_chat_completion_request( @@ -252,27 +252,27 @@ def is_prompt_supported( return model_limit - message_token_count.input_tokens def truncate_messages( - self, messages: Iterable[ChatCompletionMessageParam], model: str + self, messages: Iterable[ChatCompletionMessageParam], model: str ) -> Iterable[ChatCompletionMessageParam]: return self._truncate_messages(self, messages, model) def chat_completion( - self, - messages: Iterable[ChatCompletionMessageParam], - model: str, - frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN, - logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN, - logprobs: Optional[bool] | NotGiven = NOT_GIVEN, - max_tokens: Optional[int] | NotGiven = NOT_GIVEN, - n: Optional[int] | NotGiven = NOT_GIVEN, - presence_penalty: Optional[float] | NotGiven = NOT_GIVEN, - response_format: completion_create_params.ResponseFormat | NotGiven = NOT_GIVEN, - stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN, - temperature: Optional[float] | NotGiven = NOT_GIVEN, - tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN, - tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, - top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, - top_p: Optional[float] | NotGiven = NOT_GIVEN, + self, + messages: Iterable[ChatCompletionMessageParam], + model: str, + frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN, + logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN, + logprobs: Optional[bool] | NotGiven = NOT_GIVEN, + max_tokens: Optional[int] | NotGiven = NOT_GIVEN, + n: Optional[int] | NotGiven = NOT_GIVEN, + presence_penalty: Optional[float] | NotGiven = NOT_GIVEN, + response_format: completion_create_params.ResponseFormat | NotGiven = NOT_GIVEN, + stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN, + temperature: Optional[float] | NotGiven = NOT_GIVEN, + tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN, + tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN, + top_logprobs: Optional[int] | NotGiven = NOT_GIVEN, + top_p: Optional[float] | NotGiven = NOT_GIVEN, ) -> ChatCompletion: input_kwargs = self.__adapt_chat_completion_request( messages=messages, diff --git a/patchwork/common/client/patched.py b/patchwork/common/client/patched.py index b06d769b2..743b39828 100644 --- a/patchwork/common/client/patched.py +++ b/patchwork/common/client/patched.py @@ -245,12 +245,7 @@ def finish_record_patchflow_run(self, id: int, patchflow: str, repo: Repo, outpu response = self._post( url=self.url + "/v1/patchwork/", headers={"Authorization": f"Bearer {self.access_token}"}, - json={ - "id": id, - "url": repo.remotes.origin.url, - "patchflow": patchflow, - "outputs": outputs - }, + json={"id": id, "url": repo.remotes.origin.url, "patchflow": patchflow, "outputs": outputs}, ) if response is None: diff --git a/patchwork/common/client/scm.py b/patchwork/common/client/scm.py index 33d7d6728..47ae54ca3 100644 --- a/patchwork/common/client/scm.py +++ b/patchwork/common/client/scm.py @@ -15,15 +15,21 @@ from azure.devops.released.client_factory import ClientFactory from azure.devops.released.core.core_client import CoreClient from azure.devops.released.git.git_client import GitClient -from azure.devops.v7_1.git.models import GitPullRequest, GitPullRequestSearchCriteria, TeamProjectReference, \ - GitRepository, Comment, GitPullRequestCommentThread, GitTargetVersionDescriptor, GitBaseVersionDescriptor +from azure.devops.v7_1.git.models import ( + Comment, + GitPullRequest, + GitPullRequestCommentThread, + GitPullRequestSearchCriteria, + GitRepository, + TeamProjectReference, +) from github import Auth, Consts, Github, GithubException, PullRequest from github.GithubException import UnknownObjectException from gitlab import Gitlab, GitlabAuthenticationError, GitlabError from gitlab.v4.objects import ProjectMergeRequest from giturlparse import GitUrlParsed, parse from msrest.authentication import BasicAuthentication -from typing_extensions import Protocol, TypedDict, Iterator +from typing_extensions import Iterator, Protocol, TypedDict from patchwork.logger import logger @@ -359,6 +365,7 @@ def texts(self) -> PullRequestTexts: diffs={file.filename: file.patch for file in self._pr.get_files() if file.patch is not None}, ) + class AzureDevopsPullRequest(PullRequestProtocol): def __init__(self, pr: GitPullRequest, git_client: GitClient, pr_base_url: str): self._pr: GitPullRequest = pr @@ -378,24 +385,41 @@ def url(self) -> str: def set_pr_description(self, body: str) -> None: final_body = PullRequestProtocol._apply_pr_template(self, body) body = GitPullRequest(description=final_body) - self._pr = self.git_client.update_pull_request(body, repository_id=self._pr.repository.id, pull_request_id=self._pr.pull_request_id, project=self._pr.repository.project.id) + self._pr = self.git_client.update_pull_request( + body, + repository_id=self._pr.repository.id, + pull_request_id=self._pr.pull_request_id, + project=self._pr.repository.project.id, + ) def create_comment( - self, body: str, path: str | None = None, start_line: int | None = None, end_line: int | None = None + self, body: str, path: str | None = None, start_line: int | None = None, end_line: int | None = None ) -> str | None: try: comment_body = Comment(content=body) comment_thread_body = GitPullRequestCommentThread(comments=[comment_body]) - comment_thread = self.git_client.create_thread(comment_thread_body, repository_id=self._pr.repository.id, pull_request_id=self.id, project=self._pr.repository.project.id) + comment_thread = self.git_client.create_thread( + comment_thread_body, + repository_id=self._pr.repository.id, + pull_request_id=self.id, + project=self._pr.repository.project.id, + ) return body except Exception as e: logger.error(e) return None def __iter_comments(self) -> Iterator[tuple[GitPullRequestCommentThread, list[Comment]]]: - threads = self.git_client.get_threads(repository_id=self._pr.repository.id, pull_request_id=self.id, project=self._pr.repository.project.id) + threads = self.git_client.get_threads( + repository_id=self._pr.repository.id, pull_request_id=self.id, project=self._pr.repository.project.id + ) for thread in threads: - comments = self.git_client.get_comments(repository_id=self._pr.repository.id, pull_request_id=self.id, thread_id=thread.id, project=self._pr.repository.project.id) + comments = self.git_client.get_comments( + repository_id=self._pr.repository.id, + pull_request_id=self.id, + thread_id=thread.id, + project=self._pr.repository.project.id, + ) yield thread, comments def reset_comments(self) -> None: @@ -406,7 +430,13 @@ def reset_comments(self) -> None: comment_ids_to_delete.append(comment.id) if len(comment_ids_to_delete) == len(comments): for comment_id in comment_ids_to_delete: - self.git_client.delete_comment(repository_id=self._pr.repository.id, pull_request_id=self.id, thread_id=thread.id, comment_id=comment_id, project=self._pr.repository.project.id) + self.git_client.delete_comment( + repository_id=self._pr.repository.id, + pull_request_id=self.id, + thread_id=thread.id, + comment_id=comment_id, + project=self._pr.repository.project.id, + ) def texts(self) -> PullRequestTexts: target_branch = self._pr.last_merge_source_commit.commit_id @@ -425,7 +455,9 @@ def texts(self) -> PullRequestTexts: b_path = diff.b_path a_blob = diff.a_blob.data_stream.read().decode("utf-8") b_blob = diff.b_blob.data_stream.read().decode("utf-8") - diff_lines = unified_diff(a_blob.splitlines(keepends=True), b_blob.splitlines(keepends=True), a_path, b_path) + diff_lines = unified_diff( + a_blob.splitlines(keepends=True), b_blob.splitlines(keepends=True), a_path, b_path + ) diff_content = "".join(diff_lines) diffs[a_path] = diff_content @@ -440,6 +472,7 @@ def texts(self) -> PullRequestTexts: diffs=diffs, ) + class GithubClient(ScmPlatformClientProtocol): DEFAULT_URL = Consts.DEFAULT_BASE_URL @@ -701,7 +734,7 @@ class AzureDevopsClient(ScmPlatformClientProtocol): DEFAULT_URL = "https://dev.azure.com/" def __init__(self, access_token: str, url: str = DEFAULT_URL, remote: str = "origin"): - self.credentials = BasicAuthentication('', access_token) + self.credentials = BasicAuthentication("", access_token) self.__url = url self.__remote = remote git_repo = git.Repo(Path.cwd(), search_parent_directories=True) @@ -717,7 +750,6 @@ def __pr_resource_html_url(self): url += "/" return f"{url}{self.__org_name}/{self.__project_name}/_git/{self.__repo_name}/pullrequest/" - @functools.cached_property def clients(self) -> ClientFactory: url = self.__url @@ -740,7 +772,9 @@ def project(self) -> TeamProjectReference: projs = self.core_client.get_projects() proj = next((proj for proj in projs if proj.name == self.__project_name), None) if proj is None: - raise ValueError(f"Unable to determine project name from remote {self.__remote} url. Parsed project name: {self.__project_name}") + raise ValueError( + f"Unable to determine project name from remote {self.__remote} url. Parsed project name: {self.__project_name}" + ) return proj @functools.cached_property @@ -748,7 +782,9 @@ def repo(self) -> GitRepository: repos = self.git_client.get_repositories(project=self.project.id) git_repo = next((r for r in repos if r.name == self.__repo_name), None) if git_repo is None: - raise ValueError(f"Unable to determine repository name from remote {self.__remote} url. Parsed repository name: {self.__repo_name}") + raise ValueError( + f"Unable to determine repository name from remote {self.__remote} url. Parsed repository name: {self.__repo_name}" + ) return git_repo def set_url(self, url: str) -> None: @@ -788,7 +824,9 @@ def get_pr_by_url(self, url: str) -> AzureDevopsPullRequest | None: return self.find_pr_by_id(slug, resource_id) def find_pr_by_id(self, slug: str, pr_id: int) -> AzureDevopsPullRequest | None: - pr = self.git_client.get_pull_request(repository_id=self.repo.id, pull_request_id=pr_id, project=self.project.id) + pr = self.git_client.get_pull_request( + repository_id=self.repo.id, pull_request_id=pr_id, project=self.project.id + ) return AzureDevopsPullRequest(pr, self.git_client, self.__pr_resource_html_url()) def find_prs( @@ -817,9 +855,7 @@ def find_prs( **kwargs, ) pr_instances = self.git_client.get_pull_requests( - project=self.project.id, - repository_id=self.repo.id, - search_criteria=git_pr_search + project=self.project.id, repository_id=self.repo.id, search_criteria=git_pr_search ) page_list.append(pr_instances) @@ -854,4 +890,3 @@ def create_issue_comment( self, slug: str, issue_text: str, title: str | None = None, issue_id: int | None = None ) -> str: ... - diff --git a/patchwork/common/client/sonar.py b/patchwork/common/client/sonar.py index dc059fa4e..e57fcb745 100644 --- a/patchwork/common/client/sonar.py +++ b/patchwork/common/client/sonar.py @@ -1,8 +1,9 @@ from collections import defaultdict +from dataclasses import dataclass from typing import Optional, Union import requests -from dataclasses import dataclass + @dataclass class SonarVuln: @@ -65,7 +66,12 @@ def _find_hotspots(self, project_key: str): headers = {"Authorization": f"Bearer {self._access_token}"} # Define the parameters for Hotspot API request - params: dict[str, Union[str, int]] = {"p": page, "ps": page_size, "projectKey": project_key, "status": "TO_REVIEW"} + params: dict[str, Union[str, int]] = { + "p": page, + "ps": page_size, + "projectKey": project_key, + "status": "TO_REVIEW", + } url = self._url + self.__hotspot_path @@ -146,4 +152,4 @@ def find_issues(self, project_key: str): start=issue["textRange"]["startLine"], end=issue["textRange"]["endLine"], ) - yield path, vuln \ No newline at end of file + yield path, vuln diff --git a/patchwork/common/multiturn_strategy/agentic_strategy.py b/patchwork/common/multiturn_strategy/agentic_strategy.py new file mode 100644 index 000000000..2f79b8ed0 --- /dev/null +++ b/patchwork/common/multiturn_strategy/agentic_strategy.py @@ -0,0 +1,180 @@ +from __future__ import annotations + +import abc +import json +import logging +import random +import string +import sys +from json import JSONDecodeError +from pathlib import Path +from typing import Any + +import chevron +from openai.types.chat import ChatCompletionMessageParam +from openai.types.chat.chat_completion_tool_param import ChatCompletionToolParam + +from patchwork.common.client.llm.protocol import LlmClient +from patchwork.common.multiturn_strategy.multiturn_strategy import MultiturnStrategy +from patchwork.common.tools import CodeEditTool, Tool +from patchwork.common.tools.agentic_tools import EndTool + + +class Role(abc.ABC): + def __init__(self, llm_client: LlmClient, tool_set: dict[str, Tool]): + self.llm_client = llm_client + self.tool_set = tool_set + self.history: list[ChatCompletionMessageParam] = [] + + def generate_reply(self, message: str) -> str: + self.history.append(dict(role="user", content=message)) + input_kwargs = dict( + messages=self.history, + model="claude-3-5-sonnet-latest", + tools=self.__get_tools_spec(), + max_tokens=8096, + ) + is_prompt_safe = self.llm_client.is_prompt_supported(**input_kwargs) + if is_prompt_safe < 0: + raise ValueError("The subsequent prompt is not supported, due to large size.") + response = self.llm_client.chat_completion(**input_kwargs) + choices = response.choices or [] + + message_content = "" + for choice in choices: + new_message = choice.message.to_dict() + self.history.append(new_message) + if new_message.get("tool_calls") is not None: + self.history.extend(self.__execute_tools(new_message)) + else: + message_content = new_message["content"] + + return message_content + + def __execute_tools(self, last_message: ChatCompletionMessageParam) -> list[ChatCompletionMessageParam]: + rv = [] + for tool_call in last_message.get("tool_calls", []): + tool_name_to_use = tool_call.get("function", {}).get("name") + tool_to_use = self.tool_set.get(tool_name_to_use, None) + if tool_to_use is None: + logging.info("LLM just used an non-existent tool!") + continue + + logging.info(f"Running tool: {tool_name_to_use}") + try: + tool_arguments = tool_call.get("function", {}).get("arguments", "{}") + tool_kwargs = json.loads(tool_arguments) + tool_output = tool_to_use.execute(**tool_kwargs) + except JSONDecodeError: + tool_output = "Arguments must be passed through a valid JSON object" + + rv.append({"tool_call_id": tool_call.get("id", ""), "role": "tool", "content": tool_output}) + + return rv + + def __get_tools_spec(self) -> list[ChatCompletionToolParam]: + return [ + dict( + type="function", + function={"name": k, **v.json_schema}, + ) + for k, v in self.tool_set.items() + ] + + +class UserProxy(Role): + def __init__( + self, llm_client: LlmClient, tool_set: dict[str, Tool], system_prompt: str = None, reply_message: str = "" + ): + super().__init__(llm_client, tool_set) + if system_prompt is not None: + self.history.append(dict(role="system", content=system_prompt)) + + self.__reply_message = reply_message + + def generate_reply(self, message: str) -> str: + if self.__reply_message is not None: + self.history.append(dict(role="user", content=message)) + self.history.append(dict(role="assistant", content=self.__reply_message)) + return self.__reply_message + else: + return super().generate_reply(message) + + +class Assistant(Role): + def __init__(self, llm_client: LlmClient, tool_set: dict[str, Tool], system_prompt: str = None): + super().__init__(llm_client, tool_set) + if system_prompt is not None: + self.history.append(dict(role="system", content=system_prompt)) + + +class AgenticStrategy(MultiturnStrategy): + def __init__( + self, + llm_client: LlmClient, + tool_set: dict[str, Tool], + template_data: dict[str, str], + system_prompt_template: str, + user_prompt_template: str, + **kwargs, + ): + super().__init__(tool_set=dict(end=EndTool(), **tool_set), **kwargs) + self.__template_data = template_data + self.__user_prompt_template = user_prompt_template + self.__assistant_role = Assistant(llm_client, self.tool_set, self.__render_prompt(system_prompt_template)) + self.__user_role = UserProxy(llm_client, self.tool_set) + + def run_initial_prompt(self) -> Any: + ... + + def run_subsequent_prompt(self, messages: list[ChatCompletionMessageParam]) -> list[ChatCompletionMessageParam]: + ... + + def __render_prompt(self, prompt_template: str) -> str: + chevron.render.__globals__["_html_escape"] = lambda x: x + return chevron.render( + template=prompt_template, + data=self.__template_data, + partials_path=None, + partials_ext="".join(random.choices(string.ascii_uppercase + string.digits, k=32)), + partials_dict=dict(), + ) + + def __get_initial_prompt(self) -> list[ChatCompletionMessageParam]: + return [dict(role="user", content=self.__render_prompt(self.__user_prompt_template))] + + def __is_session_completed(self) -> bool: + for message in reversed(self.__assistant_role.history): + if message.get("tool") is not None: + continue + if message.get("content") == EndTool.MESSAGE: + return True + + return False + + def execute(self, limit: int | None = None) -> None: + message = self.__render_prompt(self.__user_prompt_template) + try: + for i in range(limit or self.__limit or sys.maxsize): + self.run_count = i + 1 + for role in [self.__assistant_role, self.__user_role]: + message = role.generate_reply(message) + if self.__is_session_completed(): + break + except Exception as e: + logging.error(e) + finally: + self.run_count = 0 + + @property + def history(self): + return self.__user_role.history + + @property + def tool_records(self): + for tool in self.tool_set.values(): + if isinstance(tool, CodeEditTool): + cwd = Path.cwd() + modified_files = [file_path.relative_to(cwd) for file_path in tool.tool_records["modified_files"]] + return [dict(path=str(file)) for file in modified_files] + return [] diff --git a/patchwork/common/multiturn_strategy/analyze_implement.py b/patchwork/common/multiturn_strategy/analyze_implement.py index 3686eaec6..e53e51ffc 100644 --- a/patchwork/common/multiturn_strategy/analyze_implement.py +++ b/patchwork/common/multiturn_strategy/analyze_implement.py @@ -1,25 +1,25 @@ from __future__ import annotations -import random -import string from abc import abstractmethod from collections import defaultdict from enum import Enum, auto -import chevron from openai.types.chat import ChatCompletionMessageParam from patchwork.common.client.llm.protocol import LlmClient -from patchwork.common.multiturn_strategy.multiturn_strategy import MultiturnStrategy +from patchwork.common.multiturn_strategy.multistage_strategy import ( + MultiStageStrategy, + StageConfig, +) from patchwork.common.tools import Tool -class STAGE(Enum): +class _STAGE(Enum): ANALYSIS = auto() IMPLEMENT = auto() -class AnalyzeImplementStrategy(MultiturnStrategy): +class AnalyzeImplementStrategy(MultiStageStrategy): def __init__( self, tool_set: dict[str, Tool], @@ -29,19 +29,24 @@ def __init__( implementation_prompt_template: str, **kwargs, ): - super().__init__(tool_set=tool_set, **kwargs) + super().__init__( + tool_set=tool_set, + initial_template_data=initial_template_data, + stage_configs=[ + StageConfig(id=_STAGE.ANALYSIS, prompt_template=analysis_prompt_template), + StageConfig(id=_STAGE.IMPLEMENT, prompt_template=implementation_prompt_template), + ], + **kwargs, + ) self.llm_client = llm_client - self.template_data = initial_template_data - self.analysis_prompt_template = analysis_prompt_template - self.implementation_prompt_template = implementation_prompt_template self._reset() def _reset(self): - self._stage = STAGE.ANALYSIS self.run_count = 0 self.stage_run_counts = defaultdict(int) + self.stage_messages = [] - def __run_prompt(self, messages: list[ChatCompletionMessageParam]) -> list[ChatCompletionMessageParam]: + def _run_prompt(self, messages: list[ChatCompletionMessageParam]) -> list[ChatCompletionMessageParam]: input_kwargs = dict( messages=messages, model="claude-3-5-sonnet-latest", @@ -56,37 +61,17 @@ def __run_prompt(self, messages: list[ChatCompletionMessageParam]) -> list[ChatC messages.extend(new_messages) return messages - def __render_prompt(self, prompt: str) -> str: - chevron.render.__globals__["_html_escape"] = lambda string: string - return chevron.render( - template=prompt, - data=self.template_data, - partials_path=None, - partials_ext="".join(random.choices(string.ascii_uppercase + string.digits, k=32)), - partials_dict=dict(), - ) - - def run_initial_prompt(self) -> list[ChatCompletionMessageParam]: - initial_prompt = self.__render_prompt(self.analysis_prompt_template) - messages = [dict(role="user", content=initial_prompt)] - return self.__run_prompt(messages) - - def run_subsequent_prompt(self, messages: list[ChatCompletionMessageParam]) -> list[ChatCompletionMessageParam]: - last_message = messages[-1] - if self._stage == STAGE.ANALYSIS: - possible_analysis_message = self.extract_analysis_message(last_message) - if possible_analysis_message is not None: - self._stage = STAGE.IMPLEMENT - self.template_data["analysis_results"] = possible_analysis_message - implement_prompt = self.__render_prompt(self.implementation_prompt_template) - messages = [dict(role="user", content=implement_prompt)] - return self.__run_prompt(messages) + def _is_stage_completed(self, messages: list[ChatCompletionMessageParam]) -> bool: + possible_analysis_message = self.extract_analysis_message(messages[-1]) + self.template_data["analysis_results"] = possible_analysis_message + return possible_analysis_message is not None - if last_message.get("tool_calls") is not None: - tool_messages = self.execute_tools(last_message) - messages.extend(tool_messages) - messages.append(dict(role="user", content=f"Continue with the {self._stage.name.upper()} stage.")) - return self.__run_prompt(messages) + def _stage_change( + self, current_stage: _STAGE, next_stage: _STAGE, messages: list[ChatCompletionMessageParam] + ) -> list[ChatCompletionMessageParam]: + self._stage = next_stage + self.stage_messages.append(messages) + return self.run_initial_prompt() @abstractmethod def extract_analysis_message(self, message: ChatCompletionMessageParam) -> dict[str, str]: diff --git a/patchwork/common/multiturn_strategy/multistage_strategy.py b/patchwork/common/multiturn_strategy/multistage_strategy.py new file mode 100644 index 000000000..ea51830f5 --- /dev/null +++ b/patchwork/common/multiturn_strategy/multistage_strategy.py @@ -0,0 +1,86 @@ +from __future__ import annotations + +import random +import string +from abc import abstractmethod +from collections import namedtuple +from typing import Any + +import chevron +from openai.types.chat import ChatCompletionMessageParam + +from patchwork.common.multiturn_strategy.multiturn_strategy import MultiturnStrategy +from patchwork.common.tools import Tool + +StageConfig = namedtuple("StageConfig", ["id", "prompt_template"]) + + +class MultiStageStrategy(MultiturnStrategy): + def __init__( + self, + tool_set: dict[str, Tool], + initial_template_data: dict[str, str], + stage_configs: list[StageConfig], + **kwargs, + ): + super().__init__(tool_set=tool_set, **kwargs) + self.template_data = initial_template_data + assert isinstance(stage_configs, list), "Stage configs must be in a list" + assert len(stage_configs) > 0, "Stage configs cannot be empty" + self.__stage_prompt_templates = [stage_config.prompt_template for stage_config in stage_configs] + self.__stages = [stage_config.id for stage_config in stage_configs] + self._stage = self.__stages[0] + + def __render_prompt(self, prompt: str) -> str: + chevron.render.__globals__["_html_escape"] = lambda string: string + return chevron.render( + template=prompt, + data=self.template_data, + partials_path=None, + partials_ext="".join(random.choices(string.ascii_uppercase + string.digits, k=32)), + partials_dict=dict(), + ) + + def __get_stage_idx(self, stage=None) -> int: + if stage is None: + stage = self._stage + + try: + return self.__stages.index(stage) + except ValueError: + raise ValueError(f"Invalid stage: {stage}") + + def run_initial_prompt(self) -> list[ChatCompletionMessageParam]: + stage_idx = self.__get_stage_idx() + prompt_template = self.__stage_prompt_templates[stage_idx] + initial_prompt = self.__render_prompt(prompt_template) + messages = [dict(role="user", content=initial_prompt)] + return self._run_prompt(messages) + + @abstractmethod + def _run_prompt(self, messages: list[ChatCompletionMessageParam]) -> list[ChatCompletionMessageParam]: + pass + + def run_subsequent_prompt(self, messages: list[ChatCompletionMessageParam]) -> list[ChatCompletionMessageParam]: + is_stage_completed = self._is_stage_completed(messages) + if is_stage_completed: + current_stage_idx = self.__get_stage_idx() + next_stage_idx = current_stage_idx + 1 + return self._stage_change(self._stage, self.__stages[next_stage_idx], messages) + + last_message = messages[-1] + if last_message.get("tool_calls") is not None: + tool_messages = self.execute_tools(last_message) + messages.extend(tool_messages) + messages.append(dict(role="user", content=f"Continue with the {self._stage.name.upper()} stage.")) + return self._run_prompt(messages) + + @abstractmethod + def _is_stage_completed(self, messages: list[ChatCompletionMessageParam]) -> bool: + pass + + @abstractmethod + def _stage_change( + self, current_stage: Any, next_stage: Any, messages: list[ChatCompletionMessageParam] + ) -> list[ChatCompletionMessageParam]: + pass diff --git a/patchwork/common/tools/agentic_tools.py b/patchwork/common/tools/agentic_tools.py new file mode 100644 index 000000000..0cc6f8321 --- /dev/null +++ b/patchwork/common/tools/agentic_tools.py @@ -0,0 +1,25 @@ +from __future__ import annotations + +from patchwork.common.tools.tool import Tool + + +class EndTool(Tool, tool_name="end", abc_register=False): + MESSAGE = "Ended" + + def __init__(self): + super().__init__() + + @property + def json_schema(self) -> dict: + return { + "name": "end", + "description": "End the conversation. Call this when you are done with the conversation.", + "input_schema": { + "type": "object", + "properties": {}, + "required": [], + }, + } + + def execute(self, *args, **kwargs) -> str: + return self.MESSAGE diff --git a/patchwork/common/tools/code_edit_tools.py b/patchwork/common/tools/code_edit_tools.py index 158de4dc2..1a93fd1fe 100644 --- a/patchwork/common/tools/code_edit_tools.py +++ b/patchwork/common/tools/code_edit_tools.py @@ -1,6 +1,5 @@ from __future__ import annotations -import os from pathlib import Path from typing import Literal @@ -9,9 +8,9 @@ class CodeEditTool(Tool, tool_name="code_edit_tool"): - def __init__(self, path: Path): + def __init__(self, path: Path | str): super().__init__() - self.repo_path = path + self.repo_path = Path(path) self.modified_files = set() @property @@ -141,12 +140,12 @@ def __view(self, abs_path: Path, view_range): rv = "" if len(directories) > 0: rv += "Directories: \n" - rv += '\n'.join(directories) + rv += "\n".join(directories) rv += "\n" if len(files) > 0: rv += "Files: \n" - rv += '\n'.join(files) + rv += "\n".join(files) return rv diff --git a/patchwork/common/tools/tool.py b/patchwork/common/tools/tool.py index ad7e62989..f9011c14b 100644 --- a/patchwork/common/tools/tool.py +++ b/patchwork/common/tools/tool.py @@ -5,7 +5,10 @@ class Tool(ABC): __internal_map: dict[str, Type["Tool"]] = dict() - def __init_subclass__(cls, tool_name=None, **kwargs): + def __init_subclass__(cls, tool_name=None, abc_register=True, **kwargs): + if not abc_register: + return + cls_name = tool_name or cls.__name__ if cls_name in cls.__internal_map.keys(): raise ValueError(f"Duplicate subclass name for class {cls.__name__}: {cls_name}") diff --git a/patchwork/common/utils/utils.py b/patchwork/common/utils/utils.py index 4ddf2ef74..bd5e24fc5 100644 --- a/patchwork/common/utils/utils.py +++ b/patchwork/common/utils/utils.py @@ -9,7 +9,7 @@ import tiktoken from chardet.universaldetector import UniversalDetector from git import Head, Repo -from typing_extensions import Any, Callable, Iterable, Counter +from typing_extensions import Any, Callable, Counter from patchwork.common.utils.dependency import chromadb from patchwork.logger import logger @@ -18,6 +18,7 @@ _CLEANUP_FILES: set[Path] = set() _NEWLINES = {"\n", "\r\n", "\r"} + def detect_newline(path: str | Path) -> str | None: with open(path, "r", newline="") as f: lines = f.read().splitlines(keepends=True) diff --git a/patchwork/patchflows/GenerateCodeUsageExample/GenerateCodeUsageExample.py b/patchwork/patchflows/GenerateCodeUsageExample/GenerateCodeUsageExample.py index 853ae4f04..5afac3709 100644 --- a/patchwork/patchflows/GenerateCodeUsageExample/GenerateCodeUsageExample.py +++ b/patchwork/patchflows/GenerateCodeUsageExample/GenerateCodeUsageExample.py @@ -1,19 +1,15 @@ -import json from pathlib import Path + import yaml from patchwork.common.utils.step_typing import validate_steps_with_inputs from patchwork.step import Step -from patchwork.steps import ( - LLM, - CallCode2Prompt, - ModifyCode, - PR -) +from patchwork.steps import LLM, PR, CallCode2Prompt, ModifyCode _DEFAULT_INPUT_FILE = Path(__file__).parent / "defaults.yml" _DEFAULT_PROMPT_JSON = Path(__file__).parent / "default_prompt.json" + class GenerateCodeUsageExample(Step): def __init__(self, inputs): super().__init__(inputs) @@ -21,7 +17,7 @@ def __init__(self, inputs): final_inputs = yaml.safe_load(_DEFAULT_INPUT_FILE.read_text()) if final_inputs is None: final_inputs = {} - + final_inputs.update(inputs) final_inputs["prompt_id"] = "GenerateUsageExample" @@ -37,16 +33,16 @@ def __init__(self, inputs): final_inputs["branch_prefix"] = f"{self.__class__.__name__.lower()}-" validate_steps_with_inputs( - set(final_inputs.keys()).union({"prompt_values","files_to_patch"}), LLM, CallCode2Prompt,ModifyCode,PR + set(final_inputs.keys()).union({"prompt_values", "files_to_patch"}), LLM, CallCode2Prompt, ModifyCode, PR ) self.inputs = final_inputs def run(self): outputs = CallCode2Prompt(self.inputs).run() new_file_name = f"usage_example.{self.inputs['test_file_extension']}" - new_file_path = Path(outputs['uri']).with_name(new_file_name) - Path(outputs['uri']).rename(new_file_path) - outputs['uri'] = str(new_file_path) + new_file_path = Path(outputs["uri"]).with_name(new_file_name) + Path(outputs["uri"]).rename(new_file_path) + outputs["uri"] = str(new_file_path) self.inputs["response_partitions"] = {"patch": ["```", "\n", "```"]} self.inputs["files_to_patch"] = self.inputs["prompt_values"] = [outputs] outputs = LLM(self.inputs).run() diff --git a/patchwork/patchflows/GenerateDocstring/GenerateDocstring.py b/patchwork/patchflows/GenerateDocstring/GenerateDocstring.py index 9f81787b7..83d4bc1ce 100644 --- a/patchwork/patchflows/GenerateDocstring/GenerateDocstring.py +++ b/patchwork/patchflows/GenerateDocstring/GenerateDocstring.py @@ -63,7 +63,7 @@ def run(self) -> dict: outputs = ExtractCodeMethodForCommentContexts(self.inputs).run() self.inputs.update(outputs) - self.inputs["prompt_values"] = self.inputs.get("files_to_patch", []) + self.inputs["prompt_values"] = [self.inputs.get("files_to_patch", [])[0]] self.inputs["response_partitions"] = { "patch": ["Documentation:", "```", "\n", "```"], } @@ -74,10 +74,6 @@ def run(self) -> dict: outputs = ModifyCode(self.inputs).run() self.inputs.update(outputs) - # Commit changes and create PR - self.inputs[ - "pr_header" - ] = f'This pull request from patchwork fixes {len(self.inputs["prompt_values"])} docstrings.' outputs = PR(self.inputs).run() self.inputs.update(outputs) diff --git a/patchwork/patchflows/SonarFix/SonarFix.py b/patchwork/patchflows/SonarFix/SonarFix.py index a3edce3c6..07c320d3d 100644 --- a/patchwork/patchflows/SonarFix/SonarFix.py +++ b/patchwork/patchflows/SonarFix/SonarFix.py @@ -1,4 +1,3 @@ -import json from enum import IntEnum from pathlib import Path @@ -19,7 +18,8 @@ ModifyCode, PreparePR, PreparePrompt, - ScanSemgrep, ScanSonar, + ScanSemgrep, + ScanSonar, ) _DEFAULT_PROMPT_JSON = Path(__file__).parent / "default_prompt.json" @@ -89,9 +89,7 @@ def run(self) -> dict: self.inputs.update(outputs) for extracted_response in self.inputs["extracted_responses"]: - response_compatibility = Compatibility.from_str( - extracted_response.get("compatibility", "UNKNOWN").strip() - ) + response_compatibility = Compatibility.from_str(extracted_response.get("compatibility", "UNKNOWN").strip()) if response_compatibility < self.compatibility_threshold: extracted_response.pop("patch", None) diff --git a/patchwork/patchflows/__init__.py b/patchwork/patchflows/__init__.py index 2cd14e8a6..93af42023 100644 --- a/patchwork/patchflows/__init__.py +++ b/patchwork/patchflows/__init__.py @@ -1,13 +1,12 @@ from .AutoFix.AutoFix import AutoFix from .DependencyUpgrade.DependencyUpgrade import DependencyUpgrade +from .GenerateCodeUsageExample.GenerateCodeUsageExample import GenerateCodeUsageExample from .GenerateDiagram.GenerateDiagram import GenerateDiagram from .GenerateDocstring.GenerateDocstring import GenerateDocstring from .GenerateREADME.GenerateREADME import GenerateREADME from .GenerateUnitTests.GenerateUnitTests import GenerateUnitTests from .PRReview.PRReview import PRReview from .ResolveIssue.ResolveIssue import ResolveIssue -from .GenerateUnitTests.GenerateUnitTests import GenerateUnitTests -from .GenerateCodeUsageExample.GenerateCodeUsageExample import GenerateCodeUsageExample from .SonarFix.SonarFix import SonarFix __all__ = [ @@ -22,4 +21,3 @@ "GenerateCodeUsageExample", "SonarFix", ] - diff --git a/patchwork/steps/AgenticLLM/AgenticLLM.py b/patchwork/steps/AgenticLLM/AgenticLLM.py new file mode 100644 index 000000000..de8e97163 --- /dev/null +++ b/patchwork/steps/AgenticLLM/AgenticLLM.py @@ -0,0 +1,30 @@ +from pathlib import Path + +from patchwork.common.client.llm.aio import AioLlmClient +from patchwork.common.multiturn_strategy.agentic_strategy import AgenticStrategy +from patchwork.common.tools import Tool +from patchwork.step import Step +from patchwork.steps.AgenticLLM.typed import AgenticLLMInputs, AgenticLLMOutputs + + +class AgenticLLM(Step, input_class=AgenticLLMInputs, output_class=AgenticLLMOutputs): + def __init__(self, inputs): + super().__init__(inputs) + base_path = inputs.get("base_path") + if base_path is None: + base_path = str(Path.cwd()) + self.conversation_limit = int(int(inputs.get("max_llm_calls", 2)) / 2) + self.agentic_strategy = AgenticStrategy( + llm_client=AioLlmClient.create_aio_client(inputs), + tool_set=Tool.get_tools(path=base_path), + template_data=inputs.get("prompt_values"), + system_prompt_template=inputs.get("system_prompt"), + user_prompt_template=inputs.get("user_prompt"), + ) + + def run(self) -> dict: + self.agentic_strategy.execute(limit=self.conversation_limit) + return dict( + conversation_history=self.agentic_strategy.history, + tool_records=self.agentic_strategy.tool_records, + ) diff --git a/patchwork/steps/AgenticLLM/README.md b/patchwork/steps/AgenticLLM/README.md new file mode 100644 index 000000000..60f7a85a5 --- /dev/null +++ b/patchwork/steps/AgenticLLM/README.md @@ -0,0 +1,9 @@ +# LLM Step Implementation + +## Inputs +- The `LLM` class in this code receives inputs required for running the LLM step. +- Inputs include various parameters related to preparing prompts, calling LLM, and extracting model responses. + +## Outputs +- The `LLM` class has a `run` method that orchestrates the preparation of prompts, calling LLM, and extracting model responses. +- The outputs include prompts data, LLM responses, and the extracted responses from the model. \ No newline at end of file diff --git a/patchwork/steps/AgenticLLM/__init__.py b/patchwork/steps/AgenticLLM/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/patchwork/steps/AgenticLLM/typed.py b/patchwork/steps/AgenticLLM/typed.py new file mode 100644 index 000000000..f09f5f053 --- /dev/null +++ b/patchwork/steps/AgenticLLM/typed.py @@ -0,0 +1,49 @@ +from typing_extensions import Annotated, Any, Dict, List, TypedDict + +from patchwork.common.utils.step_typing import StepTypeConfig +from patchwork.steps.CallLLM.CallLLM import TOKEN_URL + + +class __AgenticLLMInputsRequired(TypedDict): + # PreparePromptInputs + prompt_template_file: Annotated[str, StepTypeConfig(is_config=True)] + prompt_id: Annotated[str, StepTypeConfig(is_config=True)] + + +class AgenticLLMInputs(__AgenticLLMInputsRequired, total=False): + prompt_values: Annotated[List[Dict[str, Any]], StepTypeConfig(or_op=["prompt_value_file"])] + system_prompt: str + user_prompt: str + max_llm_calls: Annotated[int, StepTypeConfig(is_config=True)] + model_args: Annotated[str, StepTypeConfig(is_config=True)] + client_args: Annotated[str, StepTypeConfig(is_config=True)] + openai_api_key: Annotated[ + str, StepTypeConfig(is_config=True, or_op=["patched_api_key", "google_api_key", "anthropic_api_key"]) + ] + anthropic_api_key: Annotated[ + str, StepTypeConfig(is_config=True, or_op=["patched_api_key", "google_api_key", "openai_api_key"]) + ] + patched_api_key: Annotated[ + str, + StepTypeConfig( + is_config=True, + or_op=["openai_api_key", "google_api_key", "anthropic_api_key"], + msg=f"""\ +Model API key not found. +Please login at: "{TOKEN_URL}" +Please go to the Integration's tab and generate an API key. +Please copy the access token that is generated, and add `--patched_api_key=` to the command line. + +If you are using a OpenAI API Key, please set `--openai_api_key=`.""", + ), + ] + google_api_key: Annotated[ + str, StepTypeConfig(is_config=True, or_op=["patched_api_key", "openai_api_key", "anthropic_api_key"]) + ] + + +class AgenticLLMOutputs(TypedDict): + conversation_history: List[Dict] + tool_records: List[Dict] + # request_tokens: int + # response_tokens: int diff --git a/patchwork/steps/CreatePR/CreatePR.py b/patchwork/steps/CreatePR/CreatePR.py index ba2be895e..024531ad1 100644 --- a/patchwork/steps/CreatePR/CreatePR.py +++ b/patchwork/steps/CreatePR/CreatePR.py @@ -4,10 +4,11 @@ from git.exc import GitCommandError from patchwork.common.client.scm import ( + AzureDevopsClient, GithubClient, GitlabClient, ScmPlatformClientProtocol, - get_slug_from_remote_url, AzureDevopsClient, + get_slug_from_remote_url, ) from patchwork.logger import logger from patchwork.step import Step, StepStatus diff --git a/patchwork/steps/CreatePRComment/CreatePRComment.py b/patchwork/steps/CreatePRComment/CreatePRComment.py index 1af225b79..d23469dc9 100644 --- a/patchwork/steps/CreatePRComment/CreatePRComment.py +++ b/patchwork/steps/CreatePRComment/CreatePRComment.py @@ -1,4 +1,4 @@ -from patchwork.common.client.scm import GithubClient, GitlabClient, AzureDevopsClient +from patchwork.common.client.scm import AzureDevopsClient, GithubClient, GitlabClient from patchwork.logger import logger from patchwork.step import Step, StepStatus diff --git a/patchwork/steps/ExtractCode/ExtractCode.py b/patchwork/steps/ExtractCode/ExtractCode.py index 6a03252e3..2a8443c43 100644 --- a/patchwork/steps/ExtractCode/ExtractCode.py +++ b/patchwork/steps/ExtractCode/ExtractCode.py @@ -4,7 +4,6 @@ import sys from collections import defaultdict from enum import IntEnum -from logging import LogRecord from pathlib import Path from urllib.parse import urlparse diff --git a/patchwork/steps/FixIssue/FixIssue.py b/patchwork/steps/FixIssue/FixIssue.py index edf8f3a15..7389f0e74 100644 --- a/patchwork/steps/FixIssue/FixIssue.py +++ b/patchwork/steps/FixIssue/FixIssue.py @@ -9,11 +9,10 @@ from patchwork.common.client.llm.protocol import LlmClient from patchwork.common.constants import TOKEN_URL from patchwork.common.multiturn_strategy.analyze_implement import ( - STAGE, + _STAGE, AnalyzeImplementStrategy, ) from patchwork.common.tools import CodeEditTool, Tool -from patchwork.logger import logger from patchwork.step import Step from patchwork.steps.FixIssue.typed import FixIssueInputs, FixIssueOutputs @@ -90,10 +89,13 @@ def extract_analysis_message(self, message: ChatCompletionMessageParam) -> Optio return sections def is_stop(self, messages: list[ChatCompletionMessageParam]) -> bool: - if self._stage != STAGE.IMPLEMENT: + if self._stage != _STAGE.IMPLEMENT: return False last_message = messages[-1] - return "" in last_message.get("content") + is_end = "" in last_message.get("content") + if is_end: + self.stage_messages.append(messages) + return is_end class FixIssue(Step, input_class=FixIssueInputs, output_class=FixIssueOutputs): diff --git a/patchwork/steps/FixIssue/typed.py b/patchwork/steps/FixIssue/typed.py index 7c88e21b5..35732a6fa 100644 --- a/patchwork/steps/FixIssue/typed.py +++ b/patchwork/steps/FixIssue/typed.py @@ -1,4 +1,4 @@ -from typing_extensions import Annotated, Dict, TypedDict, List +from typing_extensions import Annotated, Dict, List, TypedDict from patchwork.common.constants import TOKEN_URL from patchwork.common.utils.step_typing import StepTypeConfig diff --git a/patchwork/steps/PreparePR/PreparePR.py b/patchwork/steps/PreparePR/PreparePR.py index 6203fb3d8..ee6bc1096 100644 --- a/patchwork/steps/PreparePR/PreparePR.py +++ b/patchwork/steps/PreparePR/PreparePR.py @@ -7,7 +7,6 @@ class PreparePR(Step, input_class=PreparePRInputs, output_class=PreparePROutputs): - def __init__(self, inputs: dict): super().__init__(inputs) self.modified_code_files = inputs["modified_code_files"] diff --git a/patchwork/steps/ReadIssues/ReadIssues.py b/patchwork/steps/ReadIssues/ReadIssues.py index 63abc3809..048c0b740 100644 --- a/patchwork/steps/ReadIssues/ReadIssues.py +++ b/patchwork/steps/ReadIssues/ReadIssues.py @@ -40,5 +40,5 @@ def run(self) -> dict: Description: {self.issue.get("body")} -""" +""", ) diff --git a/patchwork/steps/ReadPRDiffs/ReadPRDiffs.py b/patchwork/steps/ReadPRDiffs/ReadPRDiffs.py index 554b31419..07b1b1d25 100644 --- a/patchwork/steps/ReadPRDiffs/ReadPRDiffs.py +++ b/patchwork/steps/ReadPRDiffs/ReadPRDiffs.py @@ -1,6 +1,6 @@ from typing_extensions import List -from patchwork.common.client.scm import GithubClient, GitlabClient, AzureDevopsClient +from patchwork.common.client.scm import AzureDevopsClient, GithubClient, GitlabClient from patchwork.step import Step from patchwork.steps.ReadPRDiffs.typed import ReadPRDiffsInputs, ReadPRDiffsOutputs @@ -26,7 +26,6 @@ def filter_by_extension(file, extensions): class ReadPRDiffs(Step, input_class=ReadPRDiffsInputs, output_class=ReadPRDiffsOutputs): - def __init__(self, inputs: dict): super().__init__(inputs) diff --git a/patchwork/steps/ScanSonar/ScanSonar.py b/patchwork/steps/ScanSonar/ScanSonar.py index cdd80df75..973af4f91 100644 --- a/patchwork/steps/ScanSonar/ScanSonar.py +++ b/patchwork/steps/ScanSonar/ScanSonar.py @@ -1,14 +1,15 @@ from typing import List -from patchwork.step import Step, StepStatus from patchwork.common.client.sonar import SonarClient +from patchwork.step import Step, StepStatus from patchwork.steps.ExtractCode.ExtractCode import read_and_get_source_code_context from patchwork.steps.ScanSonar.typed import ( - ScanSonarInputs, + ScanSonarInputs, ScanSonarOutputs, - SonarVulnerability + SonarVulnerability, ) + class ScanSonar(Step, input_class=ScanSonarInputs, output_class=ScanSonarOutputs): def __init__(self, inputs: dict): super().__init__(inputs) @@ -25,9 +26,9 @@ def __init__(self, inputs: dict): def run(self) -> dict: try: vulns_by_path = self.client.find_vulns(self.project_key) - + files_to_patch: List[SonarVulnerability] = [] - + for file_path, vulns in vulns_by_path.items(): for vuln in vulns: data = read_and_get_source_code_context(file_path, vuln.start, vuln.end, self.context_length) @@ -43,10 +44,10 @@ def run(self) -> dict: messageText=vuln.bug_msg, ) files_to_patch.append(vulnerability) - + self.set_status(StepStatus.COMPLETED, "Successfully collected SonarQube results") return dict(files_to_patch=files_to_patch) - + except Exception as e: self.set_status(StepStatus.FAILED, f"Failed to collect SonarQube results: {str(e)}") raise diff --git a/patchwork/steps/ScanSonar/__init__.py b/patchwork/steps/ScanSonar/__init__.py index 70a487aaf..1901fbe5f 100644 --- a/patchwork/steps/ScanSonar/__init__.py +++ b/patchwork/steps/ScanSonar/__init__.py @@ -1,4 +1,4 @@ from .ScanSonar import ScanSonar from .typed import ScanSonarInputs, ScanSonarOutputs, SonarVulnerability -__all__ = ["ScanSonar", "ScanSonarInputs", "ScanSonarOutputs", "SonarVulnerability"] \ No newline at end of file +__all__ = ["ScanSonar", "ScanSonarInputs", "ScanSonarOutputs", "SonarVulnerability"] diff --git a/patchwork/steps/ScanSonar/typed.py b/patchwork/steps/ScanSonar/typed.py index 09a28db70..6fef64273 100644 --- a/patchwork/steps/ScanSonar/typed.py +++ b/patchwork/steps/ScanSonar/typed.py @@ -1,6 +1,8 @@ -from typing_extensions import Annotated, TypedDict, List +from typing_extensions import Annotated, List, TypedDict + from patchwork.common.utils.step_typing import StepTypeConfig + class __ScanSonarRequiredInputs(TypedDict): sonarqube_api_key: Annotated[ str, @@ -20,6 +22,7 @@ class __ScanSonarRequiredInputs(TypedDict): ), ] + class ScanSonarInputs(__ScanSonarRequiredInputs, total=False): sonarqube_base_url: Annotated[ str, @@ -39,5 +42,6 @@ class SonarVulnerability(TypedDict): affectedCode: str messageText: str + class ScanSonarOutputs(TypedDict): files_to_patch: List[SonarVulnerability] diff --git a/patchwork/steps/__init__.py b/patchwork/steps/__init__.py index aed1e1548..deef1bffe 100644 --- a/patchwork/steps/__init__.py +++ b/patchwork/steps/__init__.py @@ -1,3 +1,4 @@ +from patchwork.steps.AgenticLLM.AgenticLLM import AgenticLLM from patchwork.steps.AnalyzeImpact.AnalyzeImpact import AnalyzeImpact from patchwork.steps.CallAPI.CallAPI import CallAPI from patchwork.steps.CallCode2Prompt.CallCode2Prompt import CallCode2Prompt @@ -56,6 +57,7 @@ SimplifiedLLMOncePB = SimplifiedLLMOnce __all__ = [ + "AgenticLLM", "AnalyzeImpact", 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-1,52 +1,45 @@ from pathlib import Path +from unittest.mock import patch import pytest -from unittest.mock import Mock, patch -from patchwork.steps.ScanSonar.ScanSonar import ScanSonar from patchwork.common.client.sonar import SonarClient, SonarVuln +from patchwork.steps.ScanSonar.ScanSonar import ScanSonar + def test_scan_sonar(): inputs = { "sonarqube_project_key": "test-project", "sonarqube_api_key": "test-token", - "sonarqube_base_url": "https://sonarcloud.io" + "sonarqube_base_url": "https://sonarcloud.io", } path_to_resource_file = Path(__file__).parent.parent / "cicd" / "generate_docstring" / "python_test_file.py" - mock_vulns = { - str(path_to_resource_file): [ - SonarVuln( - start=13, - end=14, - cwe="CWE-79", - bug_msg="Test vulnerability" - ) - ] - } - - with patch.object(SonarClient, 'find_vulns', return_value=mock_vulns): + mock_vulns = {str(path_to_resource_file): [SonarVuln(start=13, end=14, cwe="CWE-79", bug_msg="Test vulnerability")]} + + with patch.object(SonarClient, "find_vulns", return_value=mock_vulns): step = ScanSonar(inputs) result = step.run() - + assert "files_to_patch" in result vulns = result["files_to_patch"] assert len(vulns) == 1 - + vuln = vulns[0] assert vuln["uri"] == str(path_to_resource_file) assert vuln["startLine"] == 0 assert vuln["endLine"] == 24 assert vuln["messageText"] == "Test vulnerability" + def test_scan_sonar_error(): inputs = { "sonarqube_project_key": "test-project", "sonarqube_api_key": "test-token", - "sonarqube_base_url": "https://sonarcloud.io" + "sonarqube_base_url": "https://sonarcloud.io", } - - with patch.object(SonarClient, 'find_vulns', side_effect=Exception("Test error")): + + with patch.object(SonarClient, "find_vulns", side_effect=Exception("Test error")): step = ScanSonar(inputs) with pytest.raises(Exception) as exc_info: step.run() From 285d2122fbf2022d632658bdf5051eacc843f651 Mon Sep 17 00:00:00 2001 From: TIANYOU CHEN <42710806+CTY-git@users.noreply.github.com> Date: Mon, 6 Jan 2025 11:17:32 +0800 Subject: [PATCH 02/10] remove test changes --- .../patchflows/GenerateDocstring/GenerateDocstring.py | 6 +++++- patchwork/steps/AgenticLLM/README.md | 9 --------- 2 files changed, 5 insertions(+), 10 deletions(-) delete mode 100644 patchwork/steps/AgenticLLM/README.md diff --git a/patchwork/patchflows/GenerateDocstring/GenerateDocstring.py b/patchwork/patchflows/GenerateDocstring/GenerateDocstring.py index 83d4bc1ce..3edfe5c98 100644 --- a/patchwork/patchflows/GenerateDocstring/GenerateDocstring.py +++ b/patchwork/patchflows/GenerateDocstring/GenerateDocstring.py @@ -63,7 +63,7 @@ def run(self) -> dict: outputs = ExtractCodeMethodForCommentContexts(self.inputs).run() self.inputs.update(outputs) - self.inputs["prompt_values"] = [self.inputs.get("files_to_patch", [])[0]] + self.inputs["prompt_values"] = [self.inputs.get("files_to_patch", [])] self.inputs["response_partitions"] = { "patch": ["Documentation:", "```", "\n", "```"], } @@ -74,6 +74,10 @@ def run(self) -> dict: outputs = ModifyCode(self.inputs).run() self.inputs.update(outputs) + # Commit changes and create PR + self.inputs[ + "pr_header" + ] = f'This pull request from patchwork fixes {len(self.inputs["prompt_values"])} docstrings.' outputs = PR(self.inputs).run() self.inputs.update(outputs) diff --git a/patchwork/steps/AgenticLLM/README.md b/patchwork/steps/AgenticLLM/README.md deleted file mode 100644 index 60f7a85a5..000000000 --- a/patchwork/steps/AgenticLLM/README.md +++ /dev/null @@ -1,9 +0,0 @@ -# LLM Step Implementation - -## Inputs -- The `LLM` class in this code receives inputs required for running the LLM step. -- Inputs include various parameters related to preparing prompts, calling LLM, and extracting model responses. - -## Outputs -- The `LLM` class has a `run` method that orchestrates the preparation of prompts, calling LLM, and extracting model responses. -- The outputs include prompts data, LLM responses, and the extracted responses from the model. \ No newline at end of file From 2fe2b3d6c82f73c4683e6f73267a9935abe109ae Mon Sep 17 00:00:00 2001 From: TIANYOU CHEN <42710806+CTY-git@users.noreply.github.com> Date: Mon, 6 Jan 2025 11:18:29 +0800 Subject: [PATCH 03/10] remove test changes --- patchwork/patchflows/GenerateDocstring/GenerateDocstring.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/patchwork/patchflows/GenerateDocstring/GenerateDocstring.py b/patchwork/patchflows/GenerateDocstring/GenerateDocstring.py index 3edfe5c98..9f81787b7 100644 --- a/patchwork/patchflows/GenerateDocstring/GenerateDocstring.py +++ b/patchwork/patchflows/GenerateDocstring/GenerateDocstring.py @@ -63,7 +63,7 @@ def run(self) -> dict: outputs = ExtractCodeMethodForCommentContexts(self.inputs).run() self.inputs.update(outputs) - self.inputs["prompt_values"] = [self.inputs.get("files_to_patch", [])] + self.inputs["prompt_values"] = self.inputs.get("files_to_patch", []) self.inputs["response_partitions"] = { "patch": ["Documentation:", "```", "\n", "```"], } From 615a54bc9fde61b13b873e2079b4ab095e3dbfa5 Mon Sep 17 00:00:00 2001 From: TIANYOU CHEN <42710806+CTY-git@users.noreply.github.com> Date: Mon, 6 Jan 2025 11:28:11 +0800 Subject: [PATCH 04/10] sav --- patchwork/patchflows/ResolveIssue/ResolveIssue.py | 1 - pyproject.toml | 2 +- 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/patchwork/patchflows/ResolveIssue/ResolveIssue.py b/patchwork/patchflows/ResolveIssue/ResolveIssue.py index 22bef8101..0f8ddb7a2 100644 --- a/patchwork/patchflows/ResolveIssue/ResolveIssue.py +++ b/patchwork/patchflows/ResolveIssue/ResolveIssue.py @@ -37,7 +37,6 @@ def run(self) -> dict: self.inputs["issue_description"] = outputs outputs = FixIssue(self.inputs).run() self.inputs.update(outputs) - self.inputs["pr_header"] = f'This pull request from patchwork fixes {self.inputs["issue_url"]}.' outputs = PR(self.inputs).run() self.inputs.update(outputs) diff --git a/pyproject.toml b/pyproject.toml index 9454cfb97..93f1edf8c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "patchwork-cli" -version = "0.0.88" +version = "0.0.89" description = "" authors = ["patched.codes"] license = "AGPL" From c5554ffffc23d291be1608afa1fd9cc71af37cd0 Mon Sep 17 00:00:00 2001 From: TIANYOU CHEN <42710806+CTY-git@users.noreply.github.com> Date: Mon, 6 Jan 2025 14:06:59 +0800 Subject: [PATCH 05/10] use singular prompt value --- patchwork/steps/AgenticLLM/AgenticLLM.py | 2 +- patchwork/steps/AgenticLLM/typed.py | 9 ++------- 2 files changed, 3 insertions(+), 8 deletions(-) diff --git a/patchwork/steps/AgenticLLM/AgenticLLM.py b/patchwork/steps/AgenticLLM/AgenticLLM.py index de8e97163..77bbc5a92 100644 --- a/patchwork/steps/AgenticLLM/AgenticLLM.py +++ b/patchwork/steps/AgenticLLM/AgenticLLM.py @@ -17,7 +17,7 @@ def __init__(self, inputs): self.agentic_strategy = AgenticStrategy( llm_client=AioLlmClient.create_aio_client(inputs), tool_set=Tool.get_tools(path=base_path), - template_data=inputs.get("prompt_values"), + template_data=inputs.get("prompt_value"), system_prompt_template=inputs.get("system_prompt"), user_prompt_template=inputs.get("user_prompt"), ) diff --git a/patchwork/steps/AgenticLLM/typed.py b/patchwork/steps/AgenticLLM/typed.py index f09f5f053..cc816ee4e 100644 --- a/patchwork/steps/AgenticLLM/typed.py +++ b/patchwork/steps/AgenticLLM/typed.py @@ -4,14 +4,9 @@ from patchwork.steps.CallLLM.CallLLM import TOKEN_URL -class __AgenticLLMInputsRequired(TypedDict): - # PreparePromptInputs - prompt_template_file: Annotated[str, StepTypeConfig(is_config=True)] - prompt_id: Annotated[str, StepTypeConfig(is_config=True)] - -class AgenticLLMInputs(__AgenticLLMInputsRequired, total=False): - prompt_values: Annotated[List[Dict[str, Any]], StepTypeConfig(or_op=["prompt_value_file"])] +class AgenticLLMInputs(TypedDict, total=False): + prompt_value: Dict[str, Any] system_prompt: str user_prompt: str max_llm_calls: Annotated[int, StepTypeConfig(is_config=True)] From 6ab1a0ba7dddea9727631f64373c4c0ed85686dd Mon Sep 17 00:00:00 2001 From: TIANYOU CHEN <42710806+CTY-git@users.noreply.github.com> Date: Mon, 6 Jan 2025 14:14:03 +0800 Subject: [PATCH 06/10] revert multistage strategy --- .../multiturn_strategy/agentic_strategy.py | 2 +- .../multiturn_strategy/analyze_implement.py | 69 +++++++++------ .../multiturn_strategy/multistage_strategy.py | 86 ------------------- patchwork/steps/AgenticLLM/typed.py | 1 - patchwork/steps/FixIssue/FixIssue.py | 9 +- 5 files changed, 46 insertions(+), 121 deletions(-) delete mode 100644 patchwork/common/multiturn_strategy/multistage_strategy.py diff --git a/patchwork/common/multiturn_strategy/agentic_strategy.py b/patchwork/common/multiturn_strategy/agentic_strategy.py index 2f79b8ed0..133035135 100644 --- a/patchwork/common/multiturn_strategy/agentic_strategy.py +++ b/patchwork/common/multiturn_strategy/agentic_strategy.py @@ -122,7 +122,7 @@ def __init__( self.__template_data = template_data self.__user_prompt_template = user_prompt_template self.__assistant_role = Assistant(llm_client, self.tool_set, self.__render_prompt(system_prompt_template)) - self.__user_role = UserProxy(llm_client, self.tool_set) + self.__user_role = UserProxy(llm_client, dict()) def run_initial_prompt(self) -> Any: ... diff --git a/patchwork/common/multiturn_strategy/analyze_implement.py b/patchwork/common/multiturn_strategy/analyze_implement.py index e53e51ffc..3686eaec6 100644 --- a/patchwork/common/multiturn_strategy/analyze_implement.py +++ b/patchwork/common/multiturn_strategy/analyze_implement.py @@ -1,25 +1,25 @@ from __future__ import annotations +import random +import string from abc import abstractmethod from collections import defaultdict from enum import Enum, auto +import chevron from openai.types.chat import ChatCompletionMessageParam from patchwork.common.client.llm.protocol import LlmClient -from patchwork.common.multiturn_strategy.multistage_strategy import ( - MultiStageStrategy, - StageConfig, -) +from patchwork.common.multiturn_strategy.multiturn_strategy import MultiturnStrategy from patchwork.common.tools import Tool -class _STAGE(Enum): +class STAGE(Enum): ANALYSIS = auto() IMPLEMENT = auto() -class AnalyzeImplementStrategy(MultiStageStrategy): +class AnalyzeImplementStrategy(MultiturnStrategy): def __init__( self, tool_set: dict[str, Tool], @@ -29,24 +29,19 @@ def __init__( implementation_prompt_template: str, **kwargs, ): - super().__init__( - tool_set=tool_set, - initial_template_data=initial_template_data, - stage_configs=[ - StageConfig(id=_STAGE.ANALYSIS, prompt_template=analysis_prompt_template), - StageConfig(id=_STAGE.IMPLEMENT, prompt_template=implementation_prompt_template), - ], - **kwargs, - ) + super().__init__(tool_set=tool_set, **kwargs) self.llm_client = llm_client + self.template_data = initial_template_data + self.analysis_prompt_template = analysis_prompt_template + self.implementation_prompt_template = implementation_prompt_template self._reset() def _reset(self): + self._stage = STAGE.ANALYSIS self.run_count = 0 self.stage_run_counts = defaultdict(int) - self.stage_messages = [] - def _run_prompt(self, messages: list[ChatCompletionMessageParam]) -> list[ChatCompletionMessageParam]: + def __run_prompt(self, messages: list[ChatCompletionMessageParam]) -> list[ChatCompletionMessageParam]: input_kwargs = dict( messages=messages, model="claude-3-5-sonnet-latest", @@ -61,17 +56,37 @@ def _run_prompt(self, messages: list[ChatCompletionMessageParam]) -> list[ChatCo messages.extend(new_messages) return messages - def _is_stage_completed(self, messages: list[ChatCompletionMessageParam]) -> bool: - possible_analysis_message = self.extract_analysis_message(messages[-1]) - self.template_data["analysis_results"] = possible_analysis_message - return possible_analysis_message is not None + def __render_prompt(self, prompt: str) -> str: + chevron.render.__globals__["_html_escape"] = lambda string: string + return chevron.render( + template=prompt, + data=self.template_data, + partials_path=None, + partials_ext="".join(random.choices(string.ascii_uppercase + string.digits, k=32)), + partials_dict=dict(), + ) + + def run_initial_prompt(self) -> list[ChatCompletionMessageParam]: + initial_prompt = self.__render_prompt(self.analysis_prompt_template) + messages = [dict(role="user", content=initial_prompt)] + return self.__run_prompt(messages) + + def run_subsequent_prompt(self, messages: list[ChatCompletionMessageParam]) -> list[ChatCompletionMessageParam]: + last_message = messages[-1] + if self._stage == STAGE.ANALYSIS: + possible_analysis_message = self.extract_analysis_message(last_message) + if possible_analysis_message is not None: + self._stage = STAGE.IMPLEMENT + self.template_data["analysis_results"] = possible_analysis_message + implement_prompt = self.__render_prompt(self.implementation_prompt_template) + messages = [dict(role="user", content=implement_prompt)] + return self.__run_prompt(messages) - def _stage_change( - self, current_stage: _STAGE, next_stage: _STAGE, messages: list[ChatCompletionMessageParam] - ) -> list[ChatCompletionMessageParam]: - self._stage = next_stage - self.stage_messages.append(messages) - return self.run_initial_prompt() + if last_message.get("tool_calls") is not None: + tool_messages = self.execute_tools(last_message) + messages.extend(tool_messages) + messages.append(dict(role="user", content=f"Continue with the {self._stage.name.upper()} stage.")) + return self.__run_prompt(messages) @abstractmethod def extract_analysis_message(self, message: ChatCompletionMessageParam) -> dict[str, str]: diff --git a/patchwork/common/multiturn_strategy/multistage_strategy.py b/patchwork/common/multiturn_strategy/multistage_strategy.py deleted file mode 100644 index ea51830f5..000000000 --- a/patchwork/common/multiturn_strategy/multistage_strategy.py +++ /dev/null @@ -1,86 +0,0 @@ -from __future__ import annotations - -import random -import string -from abc import abstractmethod -from collections import namedtuple -from typing import Any - -import chevron -from openai.types.chat import ChatCompletionMessageParam - -from patchwork.common.multiturn_strategy.multiturn_strategy import MultiturnStrategy -from patchwork.common.tools import Tool - -StageConfig = namedtuple("StageConfig", ["id", "prompt_template"]) - - -class MultiStageStrategy(MultiturnStrategy): - def __init__( - self, - tool_set: dict[str, Tool], - initial_template_data: dict[str, str], - stage_configs: list[StageConfig], - **kwargs, - ): - super().__init__(tool_set=tool_set, **kwargs) - self.template_data = initial_template_data - assert isinstance(stage_configs, list), "Stage configs must be in a list" - assert len(stage_configs) > 0, "Stage configs cannot be empty" - self.__stage_prompt_templates = [stage_config.prompt_template for stage_config in stage_configs] - self.__stages = [stage_config.id for stage_config in stage_configs] - self._stage = self.__stages[0] - - def __render_prompt(self, prompt: str) -> str: - chevron.render.__globals__["_html_escape"] = lambda string: string - return chevron.render( - template=prompt, - data=self.template_data, - partials_path=None, - partials_ext="".join(random.choices(string.ascii_uppercase + string.digits, k=32)), - partials_dict=dict(), - ) - - def __get_stage_idx(self, stage=None) -> int: - if stage is None: - stage = self._stage - - try: - return self.__stages.index(stage) - except ValueError: - raise ValueError(f"Invalid stage: {stage}") - - def run_initial_prompt(self) -> list[ChatCompletionMessageParam]: - stage_idx = self.__get_stage_idx() - prompt_template = self.__stage_prompt_templates[stage_idx] - initial_prompt = self.__render_prompt(prompt_template) - messages = [dict(role="user", content=initial_prompt)] - return self._run_prompt(messages) - - @abstractmethod - def _run_prompt(self, messages: list[ChatCompletionMessageParam]) -> list[ChatCompletionMessageParam]: - pass - - def run_subsequent_prompt(self, messages: list[ChatCompletionMessageParam]) -> list[ChatCompletionMessageParam]: - is_stage_completed = self._is_stage_completed(messages) - if is_stage_completed: - current_stage_idx = self.__get_stage_idx() - next_stage_idx = current_stage_idx + 1 - return self._stage_change(self._stage, self.__stages[next_stage_idx], messages) - - last_message = messages[-1] - if last_message.get("tool_calls") is not None: - tool_messages = self.execute_tools(last_message) - messages.extend(tool_messages) - messages.append(dict(role="user", content=f"Continue with the {self._stage.name.upper()} stage.")) - return self._run_prompt(messages) - - @abstractmethod - def _is_stage_completed(self, messages: list[ChatCompletionMessageParam]) -> bool: - pass - - @abstractmethod - def _stage_change( - self, current_stage: Any, next_stage: Any, messages: list[ChatCompletionMessageParam] - ) -> list[ChatCompletionMessageParam]: - pass diff --git a/patchwork/steps/AgenticLLM/typed.py b/patchwork/steps/AgenticLLM/typed.py index cc816ee4e..f0d52bac0 100644 --- a/patchwork/steps/AgenticLLM/typed.py +++ b/patchwork/steps/AgenticLLM/typed.py @@ -4,7 +4,6 @@ from patchwork.steps.CallLLM.CallLLM import TOKEN_URL - class AgenticLLMInputs(TypedDict, total=False): prompt_value: Dict[str, Any] system_prompt: str diff --git a/patchwork/steps/FixIssue/FixIssue.py b/patchwork/steps/FixIssue/FixIssue.py index 7389f0e74..7652ede25 100644 --- a/patchwork/steps/FixIssue/FixIssue.py +++ b/patchwork/steps/FixIssue/FixIssue.py @@ -9,7 +9,7 @@ from patchwork.common.client.llm.protocol import LlmClient from patchwork.common.constants import TOKEN_URL from patchwork.common.multiturn_strategy.analyze_implement import ( - _STAGE, + STAGE, AnalyzeImplementStrategy, ) from patchwork.common.tools import CodeEditTool, Tool @@ -89,13 +89,10 @@ def extract_analysis_message(self, message: ChatCompletionMessageParam) -> Optio return sections def is_stop(self, messages: list[ChatCompletionMessageParam]) -> bool: - if self._stage != _STAGE.IMPLEMENT: + if self._stage != STAGE.IMPLEMENT: return False last_message = messages[-1] - is_end = "" in last_message.get("content") - if is_end: - self.stage_messages.append(messages) - return is_end + return "" in last_message.get("content") class FixIssue(Step, input_class=FixIssueInputs, output_class=FixIssueOutputs): From b923a2fc7b0cdd5866e768bb902d10635bcaf8a7 Mon Sep 17 00:00:00 2001 From: TIANYOU CHEN <42710806+CTY-git@users.noreply.github.com> Date: Mon, 6 Jan 2025 15:52:49 +0800 Subject: [PATCH 07/10] lint strat --- .../common/multiturn_strategy/agentic_strategy.py | 13 +++---------- 1 file changed, 3 insertions(+), 10 deletions(-) diff --git a/patchwork/common/multiturn_strategy/agentic_strategy.py b/patchwork/common/multiturn_strategy/agentic_strategy.py index 133035135..b86fe1fe3 100644 --- a/patchwork/common/multiturn_strategy/agentic_strategy.py +++ b/patchwork/common/multiturn_strategy/agentic_strategy.py @@ -8,14 +8,12 @@ import sys from json import JSONDecodeError from pathlib import Path -from typing import Any import chevron from openai.types.chat import ChatCompletionMessageParam from openai.types.chat.chat_completion_tool_param import ChatCompletionToolParam from patchwork.common.client.llm.protocol import LlmClient -from patchwork.common.multiturn_strategy.multiturn_strategy import MultiturnStrategy from patchwork.common.tools import CodeEditTool, Tool from patchwork.common.tools.agentic_tools import EndTool @@ -108,7 +106,7 @@ def __init__(self, llm_client: LlmClient, tool_set: dict[str, Tool], system_prom self.history.append(dict(role="system", content=system_prompt)) -class AgenticStrategy(MultiturnStrategy): +class AgenticStrategy: def __init__( self, llm_client: LlmClient, @@ -116,20 +114,15 @@ def __init__( template_data: dict[str, str], system_prompt_template: str, user_prompt_template: str, + *args, **kwargs, ): - super().__init__(tool_set=dict(end=EndTool(), **tool_set), **kwargs) + self.tool_set = dict(end=EndTool(), **tool_set) self.__template_data = template_data self.__user_prompt_template = user_prompt_template self.__assistant_role = Assistant(llm_client, self.tool_set, self.__render_prompt(system_prompt_template)) self.__user_role = UserProxy(llm_client, dict()) - def run_initial_prompt(self) -> Any: - ... - - def run_subsequent_prompt(self, messages: list[ChatCompletionMessageParam]) -> list[ChatCompletionMessageParam]: - ... - def __render_prompt(self, prompt_template: str) -> str: chevron.render.__globals__["_html_escape"] = lambda x: x return chevron.render( From 3ffa2e1df18171b4cef0101800951efd0e3bbc4b Mon Sep 17 00:00:00 2001 From: TIANYOU CHEN <42710806+CTY-git@users.noreply.github.com> Date: Mon, 6 Jan 2025 16:05:20 +0800 Subject: [PATCH 08/10] fix weird descriptions and use new steps for ResolveIssue --- .github/workflows/test.yml | 16 +-- patchwork/common/tools/code_edit_tools.py | 5 +- .../patchflows/ResolveIssue/ResolveIssue.py | 107 +++++++++++++++++- 3 files changed, 114 insertions(+), 14 deletions(-) diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index ee31b3bde..0e782896d 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -158,14 +158,14 @@ jobs: if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true' run: poetry install --no-interaction --only main --extras rag -# disabled because this currently takes too long -# - name: Resolve issue -# run: | -# poetry run patchwork ResolveIssue --log debug \ -# --patched_api_key=${{ secrets.PATCHED_API_KEY }} \ -# --github_api_key=${{ secrets.SCM_GITHUB_KEY }} \ -# --issue_url=https://github.com/patched-codes/patchwork/issues/1039 \ -# --disable_telemetry + - name: Resolve issue + run: | + poetry run patchwork ResolveIssue --log debug \ + --patched_api_key=${{ secrets.PATCHED_API_KEY }} \ + --github_api_key=${{ secrets.SCM_GITHUB_KEY }} \ + --issue_url=https://github.com/patched-codes/patchwork/issues/1039 \ + --disable_telemetry + --max_llm_calls=10 main-test: runs-on: ubuntu-latest diff --git a/patchwork/common/tools/code_edit_tools.py b/patchwork/common/tools/code_edit_tools.py index 1a93fd1fe..a461c9c66 100644 --- a/patchwork/common/tools/code_edit_tools.py +++ b/patchwork/common/tools/code_edit_tools.py @@ -24,7 +24,6 @@ def json_schema(self) -> dict: * If `path` is a file, `view` displays the result of applying `cat -n`. If `path` is a directory, `view` lists non-hidden files and directories up to 2 levels deep * The `create` command cannot be used if the specified `path` already exists as a file * If a `command` generates a long output, it will be truncated and marked with `` -* The `undo_edit` command will revert the last edit made to the file at `path` * The working directory is always {self.repo_path} Notes for using the `str_replace` command: @@ -36,8 +35,8 @@ def json_schema(self) -> dict: "properties": { "command": { "type": "string", - "enum": ["view", "create", "str_replace", "insert", "undo_edit"], - "description": "The commands to run. Allowed options are: `view`, `create`, `str_replace`, `insert`, `undo_edit`.", + "enum": ["view", "create", "str_replace", "insert"], + "description": "The commands to run. Allowed options are: `view`, `create`, `str_replace`, `insert`.", }, "file_text": { "description": "Required parameter of `create` command, with the content of the file to be created.", diff --git a/patchwork/patchflows/ResolveIssue/ResolveIssue.py b/patchwork/patchflows/ResolveIssue/ResolveIssue.py index 0f8ddb7a2..850318d30 100644 --- a/patchwork/patchflows/ResolveIssue/ResolveIssue.py +++ b/patchwork/patchflows/ResolveIssue/ResolveIssue.py @@ -5,7 +5,7 @@ from patchwork.common.utils.progress_bar import PatchflowProgressBar from patchwork.common.utils.step_typing import validate_steps_with_inputs from patchwork.step import Step -from patchwork.steps import PR, FixIssue, ReadIssues +from patchwork.steps import PR, AgenticLLM, FixIssue, ReadIssues, SimplifiedLLMOnce _DEFAULT_INPUT_FILE = Path(__file__).parent / "defaults.yml" @@ -30,13 +30,114 @@ def __init__(self, inputs: dict): PR, ) + # currently only support claude + final_inputs["model"] = "claude-3-5-sonnet-latest" self.inputs = final_inputs def run(self) -> dict: outputs = ReadIssues(self.inputs).run() self.inputs["issue_description"] = outputs - outputs = FixIssue(self.inputs).run() - self.inputs.update(outputs) + + outputs = AgenticLLM( + dict( + **self.inputs, + prompt_value=dict( + path=self.inputs.get("base_path", str(Path.cwd())), + issue=outputs["issue_description"], + ), + system_prompt="""\ +You are a senior software engineer tasked to analyze a issue. +Your analysis will be used to guide the junior engineer to resolve this issue. +""", + user_prompt="""\ + +{{path}} + +I've uploaded a code repository in the current working directory. + +Consider the following issue: + + +{{issue}} + + +Let's first explore and analyze the repository to understand where the issue is located. +Please analyze the repository structure and try to locate the specific files and code sections that need to be modified. + +1. First explore the repo structure +2. Identify the relevant files that likely need changes +3. Once you've confirmed the error, identify the specific code sections that need to be modified + +Provide your findings in this format: + + List the relevant files that need changes + Description of the specific changes needed + + """, + max_llm_calls=200, + ) + ).run() + outputs = SimplifiedLLMOnce( + dict( + **self.inputs, + json_schema=dict( + files=["The files to be changed"], changes_needed="Description of the specific changes needed" + ), + user_prompt="""\ +From the following conversation history extract the following information: + + List the relevant files that need changes + Description of the specific changes needed + + + +{{conversation_history}} + +""", + prompt_value=outputs, + ) + ).run() + + outputs = AgenticLLM( + dict( + **self.inputs, + prompt_value=dict( + path=self.inputs.get("base_path", str(Path.cwd())), + analysis_result=outputs, + ), + system_prompt="""\ +You are a senior software engineer assigned to fix an issue. Your lead engineer have already analyzed the issue and provided his analysis for you for reference. +""", + user_prompt="""\ + +{{path}} + +I've uploaded a code repository in the current working directory. + +Based on our analysis: + + + + {{analysis_result.files}} + + + {{analysis_result.changes_needed}} + + + +Let's implement the necessary changes: + +1. Edit the sourcecode of the repo to resolve the issue +2. Think about edge cases and make sure your fix handles them as well + +I've already taken care of all changes to any of the test files described in the PR. +This means you DON'T have to modify the testing logic or any of the tests in any way! +""", + max_llm_calls=200, + ) + ).run() + self.inputs["modified_files"] = outputs["tool_records"] + outputs = PR(self.inputs).run() self.inputs.update(outputs) From b89b0bb808997d865e3e374c55bc032d9516fa86 Mon Sep 17 00:00:00 2001 From: TIANYOU CHEN <42710806+CTY-git@users.noreply.github.com> Date: Mon, 6 Jan 2025 16:06:51 +0800 Subject: [PATCH 09/10] disable again --- .github/workflows/test.yml | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 0e782896d..e8f1b6be8 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -158,14 +158,15 @@ jobs: if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true' run: poetry install --no-interaction --only main --extras rag - - name: Resolve issue - run: | - poetry run patchwork ResolveIssue --log debug \ - --patched_api_key=${{ secrets.PATCHED_API_KEY }} \ - --github_api_key=${{ secrets.SCM_GITHUB_KEY }} \ - --issue_url=https://github.com/patched-codes/patchwork/issues/1039 \ - --disable_telemetry - --max_llm_calls=10 +# disabled because this currently takes too long +# - name: Resolve issue +# run: | +# poetry run patchwork ResolveIssue --log debug \ +# --patched_api_key=${{ secrets.PATCHED_API_KEY }} \ +# --github_api_key=${{ secrets.SCM_GITHUB_KEY }} \ +# --issue_url=https://github.com/patched-codes/patchwork/issues/1129 \ +# --disable_telemetry +# --max_llm_calls=10 main-test: runs-on: ubuntu-latest From 526452b4120657e74b787541908019793ac8cc78 Mon Sep 17 00:00:00 2001 From: TIANYOU CHEN <42710806+CTY-git@users.noreply.github.com> Date: Mon, 6 Jan 2025 16:31:46 +0800 Subject: [PATCH 10/10] change method of running patchflow in actions --- .github/workflows/test.yml | 44 +++++++++++++++++++++++--------------- 1 file changed, 27 insertions(+), 17 deletions(-) diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index e8f1b6be8..fc4a7562a 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -107,7 +107,8 @@ jobs: - name: AutoFix Patchwork run: | - poetry run patchwork AutoFix --log debug \ + source .venv/bin/activate + patchwork AutoFix --log debug \ --patched_api_key=${{ secrets.PATCHED_API_KEY }} \ --github_api_key=${{ secrets.SCM_GITHUB_KEY }} \ --force_pr_creation \ @@ -115,7 +116,8 @@ jobs: - name: Dependency Upgrade run: | - poetry run patchwork DependencyUpgrade --log debug \ + source .venv/bin/activate + patchwork DependencyUpgrade --log debug \ --libraries_api_key=${{ secrets.LIBRARIES_KEY }} \ --patched_api_key=${{ secrets.PATCHED_API_KEY }} \ --github_api_key=${{ secrets.SCM_GITHUB_KEY }} \ @@ -124,6 +126,8 @@ jobs: --disable_telemetry rag-test: + # disabled because this currently takes too long + if: false runs-on: ubuntu-latest steps: - name: Checkout code @@ -158,15 +162,15 @@ jobs: if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true' run: poetry install --no-interaction --only main --extras rag -# disabled because this currently takes too long -# - name: Resolve issue -# run: | -# poetry run patchwork ResolveIssue --log debug \ -# --patched_api_key=${{ secrets.PATCHED_API_KEY }} \ -# --github_api_key=${{ secrets.SCM_GITHUB_KEY }} \ -# --issue_url=https://github.com/patched-codes/patchwork/issues/1129 \ -# --disable_telemetry -# --max_llm_calls=10 + - name: Resolve issue + run: | + source .venv/bin/activate + patchwork ResolveIssue --log debug \ + --patched_api_key=${{ secrets.PATCHED_API_KEY }} \ + --github_api_key=${{ secrets.SCM_GITHUB_KEY }} \ + --issue_url=https://github.com/patched-codes/patchwork/issues/1129 \ + --disable_telemetry + --max_llm_calls=10 main-test: runs-on: ubuntu-latest @@ -205,7 +209,8 @@ jobs: - name: PR Review run: | - poetry run patchwork PRReview --log debug \ + source .venv/bin/activate + patchwork PRReview --log debug \ --patched_api_key=${{ secrets.PATCHED_API_KEY }} \ --github_api_key=${{ secrets.SCM_GITHUB_KEY }} \ --pr_url=https://github.com/patched-codes/patchwork/pull/${{ steps.findPr.outputs.number }} \ @@ -213,7 +218,8 @@ jobs: - name: Generate Docstring run: | - poetry run patchwork GenerateDocstring --log debug \ + source .venv/bin/activate + patchwork GenerateDocstring --log debug \ --patched_api_key=${{ secrets.PATCHED_API_KEY }} \ --github_api_key=${{ secrets.SCM_GITHUB_KEY }} \ --base_path=tests/cicd/generate_docstring \ @@ -221,7 +227,8 @@ jobs: - name : Generate Diagram run: | - poetry run patchwork GenerateDiagram --log debug \ + source .venv/bin/activate + patchwork GenerateDiagram --log debug \ --patched_api_key=${{ secrets.PATCHED_API_KEY }} \ --github_api_key=${{ secrets.SCM_GITHUB_KEY }} \ --folder_path=patchwork/steps \ @@ -229,7 +236,8 @@ jobs: - name: Generate UnitTests run: | - poetry run patchwork GenerateUnitTests --log debug \ + source .venv/bin/activate + patchwork GenerateUnitTests --log debug \ --patched_api_key=${{ secrets.PATCHED_API_KEY }} \ --github_api_key=${{ secrets.SCM_GITHUB_KEY }} \ --folder_path=tests/cicd/generate_docstring \ @@ -237,7 +245,8 @@ jobs: - name: Generate Code Usage Example run: | - poetry run patchwork GenerateCodeUsageExample --log debug \ + source .venv/bin/activate + patchwork GenerateCodeUsageExample --log debug \ --patched_api_key=${{ secrets.PATCHED_API_KEY }} \ --github_api_key=${{ secrets.SCM_GITHUB_KEY }} \ --folder_path=tests/cicd/generate_docstring \ @@ -245,6 +254,7 @@ jobs: - name: Generate README run: | + source .venv/bin/activate # Specify the parent folder you want to check PARENT_FOLDER="./patchwork/steps" # Command to run if README.md is not found @@ -257,7 +267,7 @@ jobs: # Convert to a Git-friendly branch name: replace spaces with underscores, remove slashes, etc. branch_name=$(echo "$base_name" | sed -e 's/[^a-zA-Z0-9]/_/g' -e 's/__*/_/g' -e 's/^_//g' -e 's/_$//g') - poetry run patchwork GenerateREADME --log debug \ + patchwork GenerateREADME --log debug \ --patched_api_key=${{ secrets.PATCHED_API_KEY }} \ --github_api_key=${{ secrets.SCM_GITHUB_KEY }} \ --filter=*.py \