diff --git a/.github/workflows/github_comment_trigger.yml b/.github/workflows/github_comment_trigger.yml new file mode 100644 index 0000000..34ae9a0 --- /dev/null +++ b/.github/workflows/github_comment_trigger.yml @@ -0,0 +1,317 @@ +name: LLM Coder + +on: + issue_comment: + types: [created] + pull_request_review_comment: + types: [created] + +permissions: + id-token: write + contents: write + pull-requests: write + issues: write + +jobs: + llm-coder: + if: | + ((github.event_name == 'issue_comment' || github.event_name == 'pull_request_review_comment') && + contains(github.event.comment.body, '/llm-coder') + ) + runs-on: ubuntu-latest + steps: + - name: Debug github.event + run: cat $GITHUB_EVENT_PATH + - name: Set environment variables + run: | + # Handle pull request events first + if [ -n "${{ github.event.pull_request.number }}" ]; then + echo "ISSUE_NUMBER=${{ github.event.pull_request.number }}" >> $GITHUB_ENV + echo "ISSUE_TYPE=pr" >> $GITHUB_ENV + # Handle pull request review events + elif [ -n "${{ github.event.review.body }}" ]; then + echo "ISSUE_NUMBER=${{ github.event.pull_request.number }}" >> $GITHUB_ENV + echo "ISSUE_TYPE=pr" >> $GITHUB_ENV + # Handle issue comment events that reference a PR + elif [ -n "${{ github.event.issue.pull_request }}" ]; then + echo "ISSUE_NUMBER=${{ github.event.issue.number }}" >> $GITHUB_ENV + echo "ISSUE_TYPE=pr" >> $GITHUB_ENV + # Handle regular issue events + else + echo "ISSUE_NUMBER=${{ github.event.issue.number }}" >> $GITHUB_ENV + echo "ISSUE_TYPE=issue" >> $GITHUB_ENV + fi + + if [ -n "${{ github.event.review.body }}" ]; then + echo "COMMENT_ID=${{ github.event.review.id || 'None' }}" >> $GITHUB_ENV + else + echo "COMMENT_ID=${{ github.event.comment.id || 'None' }}" >> $GITHUB_ENV + fi + - name: React to trigger comment + uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1 + with: + github-token: ${{ github.token }} + script: | + const issueType = process.env.ISSUE_TYPE; + const commentId = process.env.COMMENT_ID; + + if (commentId !== 'None') { + try { + if (context.eventName === 'pull_request_review_comment') { + await github.rest.reactions.createForPullRequestReviewComment({ + owner: context.repo.owner, + repo: context.repo.repo, + comment_id: commentId, + content: 'eyes' + }); + } else { + await github.rest.reactions.createForIssueComment({ + owner: context.repo.owner, + repo: context.repo.repo, + comment_id: commentId, + content: 'eyes' + }); + } + } catch (error) { + console.log('Failed to create reaction:', error); + } + } + - name: Checkout repository + uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 + with: + submodules: recursive + - name: Set up Python + uses: actions/setup-python@42375524e23c412d93fb67b49958b491fce71c38 # v5.4.0 + with: + python-version: "3.13" + - name: Setup LLM Coder from source + run: | + mkdir -p /tmp/llm-coder + git clone https://github.com/igtm/llm-coder.git /tmp/llm-coder + cd /tmp/llm-coder + python -m pip install --upgrade pip + pip install --editable . + pip install boto3 + - name: Setup Docker + uses: docker/setup-buildx-action@b5ca514318bd6ebac0fb2aedd5d36ec1b5c232a2 # v3.10.0 + - name: Generate Problem Statement + uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1 + with: + script: | + let problemStatement = ''; + const isPullRequest = !!context.payload.issue?.pull_request; + + if (context.eventName === 'issue_comment') { + if (isPullRequest) { + // PRへのコメントの場合 + const prNumber = context.payload.issue.number; + // PRの情報を取得 + // const { data: pr } = await github.rest.pulls.get({ + // owner: context.repo.owner, + // repo: context.repo.repo, + // pull_number: prNumber + // }); + + // 変更ファイル一覧を取得 + // const { data: files } = await github.rest.pulls.listFiles({ + // owner: context.repo.owner, + // repo: context.repo.repo, + // pull_number: prNumber + // }); + + // const changedFiles = files.map(file => `- ${file.filename}`).join('\n'); + + problemStatement = `この指示に従ってコード修正してください:${context.payload.comment.body.replace('/llm-coder', '')}`; + } else { + // Issue へのコメントの場合 + problemStatement = ` + 以下のGithub Issueの内容を解決できるようにコードを修正してください + Issue のタイトル: ${context.payload.issue.title} + Issue の本文: ${context.payload.issue.body} + コメント: ${context.payload.comment.body.replace('/llm-coder', '')} + `; + } + } else if (context.eventName === 'pull_request_review_comment') { + // PR review comment の場合 + problemStatement = ` + 以下の指示に従って指示がなされたファイルのみを修正してください: + ${context.payload.comment.body.replace('/llm-coder', '')} + + 指示がなされたファイル: ${context.payload.comment.path} + 指示がなされた行番号: ${context.payload.comment.line} + + 指示がなされたコードの周辺差分: ${context.payload.comment.diff_hunk} + + 注意:指示がなされたファイル以外の変更は行わないでください。基本は、指示がなされた行番号付近のコードを修正してください。 + `; + } + + console.log('Event Name:', context.eventName); + console.log('Is Pull Request:', isPullRequest); + core.exportVariable('PROBLEM_STATEMENT', problemStatement); + - name: Run LLM Coder + run: | + # Escape newlines and quotes in problem statement + ESCAPED_PROBLEM_STATEMENT=$(echo "$PROBLEM_STATEMENT" | awk '{printf "%s\\n", $0}' | sed 's/"/\\"/g') + + llm-coder "$ESCAPED_PROBLEM_STATEMENT" + env: + GITHUB_TOKEN: ${{ github.token }} + AWS_REGION_NAME: us-west-2 + - name: Prepare Git and Push Changes + id: git_changes + run: | + # Configure git user + git config user.email "noemail@igtm.link" && git config user.name "LLM-Coder" + + # Apply patch + git add . + + # Check if there are any changes + if ! git diff --staged --quiet; then + echo "SKIP_REMAINING=false" >> $GITHUB_ENV + # Issue comment かつ PR でない場合は新しいブランチを作成 + if [ "${{ github.event_name }}" = "issue_comment" ] && [ -z "${{ github.event.issue.pull_request }}" ]; then + BRANCH_NAME="LLM-Coder-fix-#${{ env.ISSUE_NUMBER }}-$(echo $RANDOM | md5sum | cut -c1-8)" + echo "BRANCH_NAME=${BRANCH_NAME}" >> $GITHUB_ENV + git checkout -b "$BRANCH_NAME" + else + # PR に対するコメントの場合は、その PR のブランチを使用 + PR_NUMBER=${{ env.ISSUE_NUMBER }} + PR_DATA=$(gh pr view $PR_NUMBER --json headRefName) + BRANCH_NAME=$(echo $PR_DATA | jq -r .headRefName) + echo "BRANCH_NAME=${BRANCH_NAME}" >> $GITHUB_ENV + git fetch origin $BRANCH_NAME + git stash --include-untracked + git checkout $BRANCH_NAME + git stash pop || true + fi + + git commit -m "Fixed by LLM-Coder" -m "Closes #${{ env.ISSUE_NUMBER }}" + git push origin "$BRANCH_NAME" + else + echo "SKIP_REMAINING=true" >> $GITHUB_ENV + echo "No changes to commit. LLM-Coder did not modify any files." + exit 0 + fi + env: + GITHUB_TOKEN: ${{ github.token }} + + - name: Install OpenAI Package + if: env.SKIP_REMAINING != 'true' + run: npm install openai @azure/openai + + - name: Create Pull Request + if: ${{ github.event_name == 'issue_comment' && !github.event.issue.pull_request && env.SKIP_REMAINING != 'true' }} + continue-on-error: true + uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1 + env: + OPENAI_API_KEY: ${{ secrets.LLM_API_KEY }} + with: + github-token: ${{ github.token }} + script: | + const { repo, owner } = context.repo; + const issueUrl = context.payload.issue?.html_url; + const issueNumber = process.env.ISSUE_NUMBER; + + // Get issue title if available + let issueTitle = "llm-coder"; + try { + const issue = await github.rest.issues.get({ + owner, + repo, + issue_number: parseInt(issueNumber) + }); + issueTitle = issue.data.title; + } catch (error) { + console.log('Could not fetch issue title:', error); + } + + // Get diff content + const { execSync } = require('child_process'); + const diff = execSync('git diff HEAD^').toString(); + + // Generate PR description using OpenAI API + const { OpenAI } = require("openai"); + const client = new OpenAI({ apiKey: process.env.OPENAI_API_KEY }); + const modelName = '${{ vars.LLM_MODEL || 'gpt-4.1-nano' }}'; + const prompt = `Generate a concise Pull Request description based on the following git diff. Explain the main changes and their purpose. Format it nicely using Markdown.\n\nGit diff:\n\`\`\`diff\n${diff}\n\`\`\``; + let generatedDescription = 'Automated code changes by LLM Coder.'; + try { + const completion = await client.chat.completions.create({ + model: modelName, messages: [{ role: 'user', content: prompt }], + }); + generatedDescription = completion.choices[0].message.content; + } catch (error) { + console.error("Error generating PR description:", error); + } + const prBody = `${generatedDescription}\n\n---\n*Created by LLM Coder based on [Issue #${issueNumber}](${context.payload.issue.html_url}).*\n*Triggered by [comment](${triggerCommentUrl}).*`; + + const pr = await github.rest.pulls.create({ + owner, + repo, + title: `LLM-Coder[bot]: ${issueTitle}`, + head: process.env.BRANCH_NAME, + base: 'develop', + body: prBody, + draft: true + }); + + console.log(`Pull Request created: ${pr.data.html_url}`); + + - name: Add PR Comment + if: ${{ (github.event_name != 'issue_comment' || github.event.issue.pull_request) && env.SKIP_REMAINING != 'true' }} + continue-on-error: true + uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1 + env: + OPENAI_API_KEY: ${{ secrets.LLM_API_KEY }} + with: + github-token: ${{ github.token }} + script: | + const { repo, owner } = context.repo; + const prNumber = process.env.ISSUE_NUMBER; + + // Get diff content + const { execSync } = require('child_process'); + const diff = execSync('git diff HEAD^').toString(); + + const { OpenAI } = require("openai"); + const client = new OpenAI({ + apiKey: process.env.OPENAI_API_KEY, + }); + const modelName = '${{ vars.LLM_MODEL || 'gpt-4.1-nano' }}'; + + const prompt = `Generate a concise comment explaining the changes introduced by the following git commit diff. Format it nicely using Markdown.\n\nGit diff:\n\`\`\`diff\n${diff}\n\`\`\``; + let generatedDescription = 'Applied automated code changes.'; + try { + const completion = await client.chat.completions.create({ + model: modelName, + messages: [{ role: 'user', content: prompt }], + }); + generatedDescription = completion.choices[0].message.content; + } catch (error) { + console.error("Error generating comment description:", error); + } + + let commentBody = `🤖 LLM Coder applied the following changes based on your request:\n\n${generatedDescription}\n\n---\n*Changes pushed to branch \`${branchName}\`.*`; + + // PRのdiffコメントの場合は、そのスレッドに返信 + if (context.eventName === 'pull_request_review_comment') { + const comment = await github.rest.pulls.createReplyForReviewComment({ + owner, + repo, + pull_number: prNumber, + comment_id: context.payload.comment.id, + body: commentBody + }); + console.log(`Reply added to review comment: ${comment.data.html_url}`); + } else { + // それ以外の場合は PR 全体にコメント + const comment = await github.rest.issues.createComment({ + owner, + repo, + issue_number: prNumber, + body: commentBody + }); + console.log(`Comment added: ${comment.data.html_url}`); + } diff --git a/.gitignore b/.gitignore index 312e244..4c7fe21 100644 --- a/.gitignore +++ b/.gitignore @@ -12,3 +12,4 @@ wheels/ .mypy_cache/ .ruff_cache/ .pytest_cache/ +llm_coder_config.toml diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..2c07333 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.11 diff --git a/README.md b/README.md index e2b8ba2..173b5c8 100644 --- a/README.md +++ b/README.md @@ -4,3 +4,116 @@ llm による自立型 Cli コーディングエージェントライブラリ l ユーザーの指示通りコーディングし、自前の linter や formatter や test コードを評価フェーズに実行でき、通るまで修正します。 llm api のインターフェースは litellm ライブラリを使用。Claude や OpenAI など自由な LLM を利用できます。 +モデルや API キーの設定方法は litellm のプロバイダ設定に準拠します。 +詳細は https://docs.litellm.ai/docs/providers を参照してください。 + +## インストール方法 + +1. リポジトリをクローンします: + + ```bash + git clone + cd llm_coder + ``` + +2. 開発モードでパッケージをインストールします: + + ```bash + pip install -e . + ``` + + これにより、プロジェクトディレクトリ内で `llm-coder` コマンドが利用可能になります。 + +## 使い方 + +インストール後、以下のコマンドで CLI ツールを実行できます: + +```bash +llm-coder <プロンプト> [オプション...] +``` + +## 利用可能なオプション + +``` +positional arguments: + prompt 実行するプロンプト (省略時は標準入力から。TOMLファイルでも指定可能) + +options: + -h, --help ヘルプメッセージを表示して終了 + --config CONFIG TOML設定ファイルのパス (デフォルト: llm_coder_config.toml) + --model MODEL, -m MODEL + 使用するLLMモデル (デフォルト: gpt-4.1-nano) + --temperature TEMPERATURE, -t TEMPERATURE + LLMの温度パラメータ (デフォルト: 0.5) + --max-iterations MAX_ITERATIONS, -i MAX_ITERATIONS + 最大実行イテレーション数 (デフォルト: 10) + --allowed-dirs ALLOWED_DIRS [ALLOWED_DIRS ...] + ファイルシステム操作を許可するディレクトリ(スペース区切りで複数指定可) (デフォルト: ['.', 'playground']) + --repository-description-prompt REPOSITORY_DESCRIPTION_PROMPT + LLMに渡すリポジトリの説明プロンプト (デフォルト: TOMLファイルまたは空) +``` + +### 使用例 + +```sh +# 基本的な使い方 +llm-coder "Create a python script that outputs 'hello world'" + +# モデルを指定 +llm-coder --model claude-3-opus-20240229 "Create a python script that outputs 'hello world'" + +# 温度と最大イテレーション数を指定 +llm-coder --temperature 0.7 --max-iterations 5 "Create a python script that outputs 'hello world'" + +# 許可するディレクトリを指定 +llm-coder --allowed-dirs . ./output ./src "Create a python script that outputs 'hello world'" +``` + +## 設定 + +設定はコマンドライン引数または TOML ファイルを通じて行うことができます。 + +**設定の優先順位**: コマンドライン引数 > TOML 設定ファイル > ハードコードされたデフォルト値 + +### TOML 設定ファイルの例 + +デフォルトでは `llm_coder_config.toml` という名前の設定ファイルが読み込まれます。カスタム設定ファイルは `--config` オプションで指定できます。 + +```toml +# グローバル設定 +model = "claude-3-opus-20240229" +prompt = "Create a python script that outputs 'hello world'" +temperature = 0.5 +max_iterations = 10 +allowed_dirs = [".", "playground", "src"] +repository_description_prompt = "このリポジトリはPythonのユーティリティツールです" +``` + +設定ファイルを使用する場合: + +```sh +# デフォルトの設定ファイル (llm_coder_config.toml) を使用 +llm-coder + +# カスタム設定ファイルを指定 +llm-coder --config my_config.toml +``` + +### 開発中の直接実行 + +インストールせずに開発中に `cli.py` を直接実行することも可能です。挙動を試す用の `playground` ディレクトリを用意していますが、スクリプトの実行はプロジェクトのルートディレクトリから行う必要があります。 + +プロジェクトのルートディレクトリ (`llm_coder` ディレクトリのトップ) から以下のコマンドを実行してください: + +```bash +# プロジェクトのルートディレクトリにいることを確認 +# (例: /home/igtm/tmp/llm_coder) +uv run python -m llm_coder.cli <引数...> +``` + +例: + +```bash +# プロジェクトのルートディレクトリにいることを想定 +uv run python -m llm_coder.cli "Create a python script that outputs 'hello world'" +``` diff --git a/llm_coder/__init__.py b/llm_coder/__init__.py new file mode 100644 index 0000000..80d4a80 --- /dev/null +++ b/llm_coder/__init__.py @@ -0,0 +1,2 @@ +# Package initialization +__version__ = "0.1.0" diff --git a/llm_coder/agent.py b/llm_coder/agent.py new file mode 100644 index 0000000..2474409 --- /dev/null +++ b/llm_coder/agent.py @@ -0,0 +1,444 @@ +#!/usr/bin/env python3 + +import json +import sys +from typing import List, Dict, Any, TypedDict +import structlog + +try: + import litellm +except ImportError: + print("Error: litellm package required. Install with 'pip install litellm'") + sys.exit(1) + +# structlog の設定は logging_config.py に移動 +# 実際の設定は cli.py で行われる +logger = structlog.get_logger("llm_coder.agent") + + +# デフォルトプロンプト定数 +COMPLETION_CHECK_PROMPT = ( + "タスクは完了しましたか?\n" + "もし完了していれば、返答に必ず「TASK_COMPLETE」という文字列を含めてください。\n" + "まだ必要な操作がある場合は、ツールを呼び出して続行してください。" +) +FINAL_SUMMARY_PROMPT = ( + "タスクが完了しました。実行した内容の要約と結果を教えてください。" +) + + +# ツール実行用の型定義 +class ToolCall(TypedDict): + name: str + arguments: Dict[str, Any] + + +class Message: + """会話メッセージを表現するクラス""" + + def __init__( + self, + role: str, + content: str = None, + tool_calls: List[Dict] = None, + tool_call_id: str = None, + name: str = None, + ): + self.role = role + self.content = content + self.tool_calls = tool_calls + self.tool_call_id = tool_call_id + self.name = name + + def to_dict(self) -> Dict[str, Any]: + """メッセージをlitellm用の辞書形式に変換""" + result = {"role": self.role} + + if self.content is not None: + result["content"] = self.content + + if self.tool_calls is not None: + result["tool_calls"] = self.tool_calls + + if self.tool_call_id is not None: + result["tool_call_id"] = self.tool_call_id + + if self.name is not None: + result["name"] = self.name + + return result + + +class Agent: + """LLMベースの自律型エージェント""" + + def __init__( + self, + model: str = "gpt-4.1-nano", + temperature: float = 0.2, + max_iterations: int = 10, + available_tools: List[ + Dict[str, Any] + ] = None, # ツールリストをコンストラクタで受け取る + final_summary_prompt: str = FINAL_SUMMARY_PROMPT, # 最終要約用プロンプト + repository_description_prompt: str = None, # リポジトリ説明プロンプト + ): + self.model = model + self.temperature = temperature + self.max_iterations = max_iterations + self.conversation_history: List[Message] = [] + self.final_summary_prompt = final_summary_prompt + # repository_description_prompt が None または空文字列の場合はそのまま None または空文字列を保持 + self.repository_description_prompt = repository_description_prompt + + # 利用可能なツールを設定 + self.available_tools = available_tools or [] + + # LLMに渡すツールスキーマ (execute関数を除いたもの) + self.tools = [ + {k: v for k, v in tool.items() if k != "execute"} + for tool in self.available_tools + ] + + logger.debug( + "Agent initialized", + model=self.model, + temperature=self.temperature, + max_iterations=self.max_iterations, + tool_count=len(self.available_tools), + repository_description_length=len(self.repository_description_prompt) + if self.repository_description_prompt + else 0, + ) + + async def _execute_tool(self, tool_name: str, arguments: Dict[str, Any]) -> str: + """指定されたツールを実行してその結果を返す""" + logger.debug("Executing tool", tool_name=tool_name, arguments=arguments) + + # ツール名に一致する実行関数を検索 + tool_def = next( + ( + tool + for tool in self.available_tools + if tool["function"]["name"] == tool_name + ), + None, + ) + + if not tool_def or "execute" not in tool_def: + logger.warning("Tool not found or not executable", tool_name=tool_name) + return f"エラー: ツール '{tool_name}' が見つからないか実行できません" + + try: + # ツールの実行関数を呼び出す + execute_func = tool_def["execute"] + result = await execute_func(arguments) + logger.debug( + "Tool executed successfully", + tool_name=tool_name, + result_length=len(str(result)), + ) + return result + except Exception as e: + logger.error( + "Error executing tool", + tool_name=tool_name, + arguments=arguments, + exc_info=True, + ) + return ( + f"エラー: ツール '{tool_name}' の実行中にエラーが発生しました: {str(e)}" + ) + + async def _planning_phase(self, prompt: str) -> None: + """計画フェーズ - ユーザープロンプトから実行計画を作成""" + logger.debug("Planning phase started", prompt=prompt) + + self.conversation_history = [] + logger.debug("Conversation history initialized") + + # リポジトリ説明をシステムプロンプトに含める (存在する場合のみ) + repo_context_message = "" + if ( + self.repository_description_prompt + and self.repository_description_prompt.strip() + ): + repo_context_message = f"作業対象のリポジトリに関する背景情報:\n---\n{self.repository_description_prompt.strip()}\n---\n\n" + + system_message_content = ( + f"{repo_context_message}" # repo_context_message が空なら何も追加されない + "あなたは自律型のコーディングエージェントです。提示されたタスクを解決するために" + "ファイルシステム上のコードを読み込み、編集し、必要なら新規作成します。\n" + "タスクを次のステップで実行してください:\n" + "1. タスクを解析し、必要な操作の計画を立てる\n" + "2. 既存のコードを理解するために必要なファイルを読み込む\n" + "3. 具体的な実装計画を立てる\n" + "4. コードを記述、編集する\n" + "5. コード編集後、シェルコマンド操作ツールを使用して、関連するテスト、リンター、フォーマッターを実行する\n" + " - テストやリンターでエラーが検出された場合は、エラーメッセージをよく読み、問題が解決するまでコードを修正し、再度テスト/リンターを実行するプロセスを繰り返す\n" + " - フォーマッターはコードの整形のために実行する\n" + "6. 全てのチェックが通ったら、結果を検証し、必要なら最終調整を行う\n\n" + "ファイルシステムツールとシェルコマンドツールを使って作業を進めてください。" + ) + system_message = Message(role="system", content=system_message_content) + logger.debug("System message created", content=system_message_content) + + user_message = Message(role="user", content=prompt) + logger.debug("User message created", content=prompt) + + self.conversation_history.append(system_message) + self.conversation_history.append(user_message) + logger.debug( + "Initial messages added to conversation history", + history_length=len(self.conversation_history), + ) + + logger.debug("Generating initial plan from LLM") + try: + response = await litellm.acompletion( + model=self.model, + messages=[msg.to_dict() for msg in self.conversation_history], + temperature=self.temperature, + tools=self.tools, # 更新されたツールリストを使用 + ) + logger.debug( + "LLM response received for initial plan", response_id=response.id + ) + + assistant_message_data = response.choices[0].message + self.conversation_history.append( + Message( + role="assistant", + content=assistant_message_data.get("content"), + tool_calls=assistant_message_data.get("tool_calls"), + ) + ) + logger.debug( + "Assistant message from initial plan added to history", + content=assistant_message_data.get("content"), + tool_calls=assistant_message_data.get("tool_calls"), + history_length=len(self.conversation_history), + ) + logger.debug("Planning phase completed") + + except Exception: + logger.error("Error in planning phase", exc_info=True) + raise + + async def _execution_phase(self) -> bool: + """実行フェーズ - 計画を実行し、ツールを呼び出して結果を評価""" + logger.debug("Execution phase started") + + try: + assistant_message = next( + ( + msg + for msg in reversed(self.conversation_history) + if msg.role == "assistant" + ), + None, + ) + + if not assistant_message: + logger.warning( + "No assistant message found in history for execution phase." + ) + return False + + if not assistant_message.tool_calls: + logger.debug( + "No tool calls found in assistant message, checking if task is complete." + ) + + completion_check_message = Message( + role="user", content=COMPLETION_CHECK_PROMPT + ) + self.conversation_history.append(completion_check_message) + logger.debug( + "Sent completion check to LLM", + prompt=COMPLETION_CHECK_PROMPT, + history_length=len(self.conversation_history), + ) + + response = await litellm.acompletion( + model=self.model, + messages=[msg.to_dict() for msg in self.conversation_history], + temperature=self.temperature, + tools=self.tools, # 更新されたツールリストを使用 + ) + logger.debug( + "LLM response received for completion check", + response_id=response.id, + ) + + check_message_data = response.choices[0].message + self.conversation_history.append( + Message( + role="assistant", + content=check_message_data.get("content"), + tool_calls=check_message_data.get("tool_calls"), + ) + ) + logger.debug( + "Assistant message from completion check added to history", + content=check_message_data.get("content"), + tool_calls=check_message_data.get("tool_calls"), + history_length=len(self.conversation_history), + ) + + if not check_message_data.get("tool_calls") and "TASK_COMPLETE" in ( + check_message_data.get("content") or "" + ): + logger.info("Task confirmed complete by LLM") + return True + + if check_message_data.get("tool_calls"): + logger.debug( + "New tool calls received from completion check, continuing execution." + ) + return False + + logger.debug( + "LLM did not confirm completion and provided no new tool calls." + ) + return False + + logger.debug( + "Processing tool calls", + tool_call_count=len(assistant_message.tool_calls), + ) + for tool_call in assistant_message.tool_calls or []: + tool_name = tool_call.get("function", {}).get("name") + arguments_str = tool_call.get("function", {}).get("arguments", "{}") + tool_call_id = tool_call.get("id") + logger.debug( + "Preparing to execute tool", + tool_name=tool_name, + arguments_str=arguments_str, + tool_call_id=tool_call_id, + ) + + try: + arguments = json.loads(arguments_str) + except json.JSONDecodeError: + logger.warning( + "Failed to parse tool arguments JSON", + arguments_str=arguments_str, + tool_name=tool_name, + ) + arguments = {} + + tool_result = await self._execute_tool(tool_name, arguments) + logger.debug( + "Tool execution result", + tool_name=tool_name, + result_length=len(tool_result), + ) + + tool_message = Message( + role="tool", + tool_call_id=tool_call_id, + name=tool_name, + content=tool_result, + ) + self.conversation_history.append(tool_message) + logger.debug( + "Tool result message added to history", + tool_name=tool_name, + tool_call_id=tool_call_id, + history_length=len(self.conversation_history), + ) + + logger.debug("Getting next actions from LLM after tool executions") + response = await litellm.acompletion( + model=self.model, + messages=[msg.to_dict() for msg in self.conversation_history], + temperature=self.temperature, + tools=self.tools, # 更新されたツールリストを使用 + ) + logger.debug( + "LLM response received for next actions", response_id=response.id + ) + + new_message_data = response.choices[0].message + self.conversation_history.append( + Message( + role="assistant", + content=new_message_data.get("content"), + tool_calls=new_message_data.get("tool_calls"), + ) + ) + logger.debug( + "Assistant message for next actions added to history", + content=new_message_data.get("content"), + tool_calls=new_message_data.get("tool_calls"), + history_length=len(self.conversation_history), + ) + + if ( + not new_message_data.get("tool_calls") + and new_message_data.get("content") + and ("TASK_COMPLETE" in new_message_data.get("content")) + ): + logger.info("Task completed successfully based on LLM response") + return True + + logger.debug("Task not yet completed, continuing execution loop.") + return False + + except Exception: + logger.error("Error in execution phase", exc_info=True) + raise + + async def run(self, prompt: str) -> str: + """エージェントを実行し、プロンプトに応じたタスクを完了する""" + logger.info("Starting agent run", initial_prompt=prompt) + + await self._planning_phase(prompt) + + for i in range(self.max_iterations): + logger.debug( + "Execution iteration", + current_iteration=i + 1, + max_iterations=self.max_iterations, + ) + + is_completed = await self._execution_phase() + + if is_completed: + logger.info("Task completed", iterations=i + 1) + + final_prompt_message = Message( + role="user", content=self.final_summary_prompt + ) + self.conversation_history.append(final_prompt_message) + logger.debug( + "Requesting final summary from LLM", + prompt=self.final_summary_prompt, + history_length=len(self.conversation_history), + ) + + final_response = await litellm.acompletion( + model=self.model, + messages=[msg.to_dict() for msg in self.conversation_history], + temperature=self.temperature, + ) + logger.debug( + "LLM response received for final summary", + response_id=final_response.id, + ) + + final_message_content = final_response.choices[0].message.get( + "content", "タスクは完了しましたが、要約情報はありません。" + ) + logger.info( + "Agent run finished, returning final summary.", + summary_length=len(final_message_content), + ) + return final_message_content + + logger.warning( + "Maximum iterations reached without completion", + max_iterations=self.max_iterations, + ) + return "最大イテレーション数に達しました。タスクは未完了の可能性があります。" diff --git a/llm_coder/cli.py b/llm_coder/cli.py new file mode 100644 index 0000000..04226c2 --- /dev/null +++ b/llm_coder/cli.py @@ -0,0 +1,197 @@ +#!/usr/bin/env python3 +import asyncio +import argparse +import os # os モジュールをインポート +import sys # sys モジュールをインポート +import toml # toml をインポート + +# agent と filesystem モジュールをインポート +from llm_coder.agent import Agent +from llm_coder.filesystem import initialize_filesystem_settings, get_filesystem_tools +from llm_coder.shell_command import ( + get_shell_command_tools, +) # get_shell_command_tools をインポート +import structlog # structlog をインポート (agent.py と同様の設定を想定) + +logger = structlog.get_logger("llm_coder.cli") + + +def parse_args(): + # 設定ファイル専用のパーサーを作成して、--config 引数を先に解析 + config_parser = argparse.ArgumentParser(add_help=False) + default_config_filename = "llm_coder_config.toml" + config_parser.add_argument( + "--config", + type=str, + default=default_config_filename, # デフォルトファイル名を設定 + help=f"TOML設定ファイルのパス (デフォルト: {default_config_filename})", + ) + config_args, remaining_argv = config_parser.parse_known_args() + + config_values = {} + # config_args.config は常に値を持つ (指定されたパスまたはデフォルトパス) + config_file_path_to_load = config_args.config + + try: + if os.path.exists(config_file_path_to_load): + with open(config_file_path_to_load, "r", encoding="utf-8") as f: + config_values = toml.load(f) + logger.info(f"設定ファイル {config_file_path_to_load} を読み込みました。") + else: + if config_file_path_to_load == default_config_filename: + logger.debug( + f"デフォルトの設定ファイルが見つかりません: {config_file_path_to_load}。設定は無視されます。" + ) + else: + logger.warning( + f"指定された設定ファイルが見つかりません: {config_file_path_to_load}" + ) + except Exception as e: + logger.error( + f"設定ファイル {config_file_path_to_load} の読み込み中にエラーが発生しました: {e}" + ) + # 設定ファイルの読み込みエラーは警告に留め、デフォルト値やCLI引数で続行する + + # メインのパーサーを作成 + parser = argparse.ArgumentParser( + description="LLM Coder CLI", + # epilog を追加して、設定ファイルの優先順位について説明 + epilog="設定の優先順位: コマンドライン引数 > TOML設定ファイル > ハードコードされたデフォルト値", + # 親パーサーとして config_parser を含めることで --config ヘルプも表示 + parents=[config_parser], + ) + + # 各引数のデフォルト値を TOML ファイルの値で上書きし、最終的なデフォルト値を設定 + # prompt は位置引数のため、TOMLでのデフォルト指定方法を考慮 + # nargs='?' の位置引数の場合、default はコマンドラインで省略された場合に適用される + prompt_default = config_values.get("prompt", None) + parser.add_argument( + "prompt", + type=str, + nargs="?", + default=prompt_default, + help="実行するプロンプト (省略時は標準入力から。TOMLファイルでも指定可能)", + ) + + model_default = config_values.get("model", "gpt-4.1-nano") + parser.add_argument( + "--model", + "-m", + type=str, + default=model_default, + help=f"使用するLLMモデル (デフォルト: {model_default})", + ) + + temperature_default = config_values.get("temperature", 0.2) + parser.add_argument( + "--temperature", + "-t", + type=float, + default=temperature_default, + help=f"LLMの温度パラメータ (デフォルト: {temperature_default})", + ) + + max_iterations_default = config_values.get("max_iterations", 10) + parser.add_argument( + "--max-iterations", + "-i", + type=int, + default=max_iterations_default, + help=f"最大実行イテレーション数 (デフォルト: {max_iterations_default})", + ) + + allowed_dirs_default = config_values.get("allowed_dirs", [os.getcwd()]) + parser.add_argument( + "--allowed-dirs", + nargs="+", + default=allowed_dirs_default, + help="ファイルシステム操作を許可するディレクトリ(スペース区切りで複数指定可)" + f" (デフォルト: {allowed_dirs_default if allowed_dirs_default != [os.getcwd()] else '現在の作業ディレクトリ'})", + ) + + repository_description_prompt_default = config_values.get( + "repository_description_prompt", "" + ) + parser.add_argument( + "--repository-description-prompt", + type=str, + default=repository_description_prompt_default, + help="LLMに渡すリポジトリの説明プロンプト (デフォルト: TOMLファイルまたは空)", + ) + + # remaining_argv を使って、--config 以外の引数を解析 + return parser.parse_args(remaining_argv) + + +async def run_agent_from_cli(args): + """CLIからエージェントを実行するための非同期関数""" + prompt = args.prompt + if not prompt: # プロンプトが引数で指定されなかった場合 + if sys.stdin.isatty(): # 標準入力がTTY(対話的)の場合のみメッセージ表示 + logger.info("プロンプトを標準入力から読み込みます (Ctrl+D で終了):") + lines = [] + try: + for line in sys.stdin: + lines.append(line.rstrip("\n")) + except KeyboardInterrupt: + logger.warning("入力が中断されました。") + return + prompt = "\n".join(lines) + if not prompt.strip(): + logger.error("プロンプトが空です。実行を中止します。") + return + + logger.debug("Command line arguments parsed for agent", args=vars(args)) + + # ファイルシステム設定を初期化 + try: + initialize_filesystem_settings(args.allowed_dirs) + logger.info( + "Filesystem settings initialized with allowed directories.", + directories=args.allowed_dirs, + ) + except (FileNotFoundError, NotADirectoryError) as e: + logger.error( + "Failed to initialize filesystem settings due to invalid directory.", + error=str(e), + ) + sys.exit(1) # エラーで終了 + + # ファイルシステムツールを取得 + filesystem_tools = get_filesystem_tools() + logger.debug("Retrieved filesystem tools", tool_count=len(filesystem_tools)) + + # シェルコマンドツールを取得 + shell_tools = get_shell_command_tools() + logger.debug("Retrieved shell command tools", tool_count=len(shell_tools)) + + # 利用可能な全ツールを結合 + all_available_tools = filesystem_tools + shell_tools + logger.debug("Total available tools", tool_count=len(all_available_tools)) + + logger.debug("Initializing agent from CLI") + agent_instance = Agent( # Agent クラスのインスタンス名変更 + model=args.model, + temperature=args.temperature, + max_iterations=args.max_iterations, + available_tools=all_available_tools, # 更新されたツールリストを使用 + repository_description_prompt=args.repository_description_prompt, # リポジトリ説明プロンプトを渡す + ) + + logger.info("Starting agent run from CLI", prompt_length=len(prompt)) + result = await agent_instance.run(prompt) # agent_instance を使用 + logger.info("===== 実行結果 =====") + logger.info(result) # result が複数行の場合もそのままログに出力 + logger.info("Agent run completed from CLI") + + +def run_cli(): + """Entry point for the CLI script.""" + args = parse_args() + + # agent サブコマンドがなくなったため、直接エージェント実行ロジックを呼び出す + asyncio.run(run_agent_from_cli(args)) + + +if __name__ == "__main__": + run_cli() diff --git a/llm_coder/filesystem.py b/llm_coder/filesystem.py new file mode 100644 index 0000000..ebf32fd --- /dev/null +++ b/llm_coder/filesystem.py @@ -0,0 +1,683 @@ +#!/usr/bin/env python3 + +import asyncio +import os +import json +import sys +from typing import List, Dict, Any, Optional, Literal +from datetime import datetime +import fnmatch +import difflib +import structlog # structlog をインポート + +# Third-party imports (you may need to install these) +try: + from pydantic import BaseModel +except ImportError: + print("Error: pydantic package required. Install with 'pip install pydantic'") + sys.exit(1) + +# structlog の基本的な設定 +logger = structlog.get_logger(__name__) + + +# Schema definitions +class ReadFileArgs(BaseModel): + path: str + + +class ReadMultipleFilesArgs(BaseModel): + paths: List[str] + + +class WriteFileArgs(BaseModel): + path: str + content: str + + +class EditOperation(BaseModel): + oldText: str + newText: str + + +class EditFileArgs(BaseModel): + path: str + edits: List[EditOperation] + dryRun: bool = False + + +class CreateDirectoryArgs(BaseModel): + path: str + + +class ListDirectoryArgs(BaseModel): + path: str + + +class DirectoryTreeArgs(BaseModel): + path: str + + +class MoveFileArgs(BaseModel): + source: str + destination: str + + +class SearchFilesArgs(BaseModel): + path: str + pattern: str + excludePatterns: List[str] = [] + + +class GetFileInfoArgs(BaseModel): + path: str + + +class FileInfo(BaseModel): + size: int + created: datetime + modified: datetime + accessed: datetime + isDirectory: bool + isFile: bool + permissions: str + + +class TreeEntry(BaseModel): + name: str + type: Literal["file", "directory"] + children: Optional[List["TreeEntry"]] = None + + +# Path utilities +def normalize_path(p: str) -> str: + """Normalize a path for consistent handling.""" + return os.path.normpath(p) + + +def expand_home(filepath: str) -> str: + """Expand '~' to the user's home directory.""" + if filepath.startswith("~/") or filepath == "~": + return os.path.join( + os.path.expanduser("~"), filepath[1:] if filepath.startswith("~") else "" + ) + return filepath + + +# Global variables +allowed_directories: list[str] = [] + + +def initialize_filesystem_settings(directories: list[str]) -> None: + """ファイルシステム操作が許可されるディレクトリを設定します。""" + global allowed_directories + + if not directories: + logger.warning( + "許可されたディレクトリが指定されていません。ファイルシステム操作は制限されます。" + ) + allowed_directories = [] + return + + valid_directories = [] + for dir_path in directories: + expanded_dir = expand_home(dir_path) + abs_dir = os.path.abspath(expanded_dir) + norm_dir = normalize_path(abs_dir) + + if not os.path.exists(norm_dir): + logger.warning( + "ディレクトリが存在しません。", + path=dir_path, + resolved_path=norm_dir, + ) + continue + + if not os.path.isdir(norm_dir): + logger.warning( + "パスはディレクトリではありません。", + path=dir_path, + resolved_path=norm_dir, + ) + continue + + valid_directories.append(norm_dir) + + allowed_directories = valid_directories + logger.info( + "ファイルシステム設定完了。", + allowed_directories=allowed_directories, + ) + + +# Security utilities +async def validate_path(requested_path: str) -> str: + """ + Validate that a path is within allowed directories and resolve symlinks safely. + Returns the real path if valid, raises an exception otherwise. + """ + expanded_path = expand_home(requested_path) + absolute = os.path.abspath(expanded_path) + normalized_requested = normalize_path(absolute) + + # Check if path is within allowed directories + is_allowed = any( + normalized_requested.startswith(dir) for dir in allowed_directories + ) + if not is_allowed: + raise ValueError( + f"Access denied - path outside allowed directories: {absolute} not in {', '.join(allowed_directories)}" + ) + + # Handle symlinks by checking their real path + try: + real_path = os.path.realpath(absolute) + normalized_real = normalize_path(real_path) + is_real_path_allowed = any( + normalized_real.startswith(dir) for dir in allowed_directories + ) + if not is_real_path_allowed: + raise ValueError( + "Access denied - symlink target outside allowed directories" + ) + return real_path + except Exception: + # For new files that don't exist yet, verify parent directory + parent_dir = os.path.dirname(absolute) + try: + real_parent_path = os.path.realpath(parent_dir) + normalized_parent = normalize_path(real_parent_path) + is_parent_allowed = any( + normalized_parent.startswith(dir) for dir in allowed_directories + ) + if not is_parent_allowed: + raise ValueError( + "Access denied - parent directory outside allowed directories" + ) + return absolute + except Exception: + raise ValueError(f"Parent directory does not exist: {parent_dir}") + + +# File operation utilities +async def get_file_stats(file_path: str) -> FileInfo: + """Get detailed file statistics.""" + stats = os.stat(file_path) + return FileInfo( + size=stats.st_size, + created=datetime.fromtimestamp(stats.st_ctime), + modified=datetime.fromtimestamp(stats.st_mtime), + accessed=datetime.fromtimestamp(stats.st_atime), + isDirectory=os.path.isdir(file_path), + isFile=os.path.isfile(file_path), + permissions=oct(stats.st_mode)[-3:], + ) + + +async def search_files( + root_path: str, pattern: str, exclude_patterns: List[str] = [] +) -> List[str]: + """Recursively search for files matching a pattern.""" + results = [] + + async def search(current_path: str): + entries = os.listdir(current_path) + + for entry in entries: + full_path = os.path.join(current_path, entry) + + try: + # Validate each path before processing + await validate_path(full_path) + + # Check if path matches any exclude pattern + relative_path = os.path.relpath(full_path, root_path) + should_exclude = any( + fnmatch.fnmatch( + relative_path, + glob_pattern if "*" in pattern else f"**/{pattern}/**", + ) + for glob_pattern in exclude_patterns + ) + + if should_exclude: + continue + + if pattern.lower() in entry.lower(): + results.append(full_path) + + if os.path.isdir(full_path): + await search(full_path) + except Exception: + # Skip invalid paths during search + continue + + await search(root_path) + return results + + +# File editing and diffing utilities +def normalize_line_endings(text: str) -> str: + """Ensure consistent line endings by converting CRLF to LF.""" + return text.replace("\r\n", "\n") + + +def create_unified_diff( + original_content: str, new_content: str, filepath: str = "file" +) -> str: + """Create a unified diff between original and new content.""" + # Ensure consistent line endings for diff + normalized_original = normalize_line_endings(original_content) + normalized_new = normalize_line_endings(new_content) + + # Generate diff + diff_lines = list( + difflib.unified_diff( + normalized_original.splitlines(), + normalized_new.splitlines(), + fromfile=f"{filepath} (original)", + tofile=f"{filepath} (modified)", + lineterm="", + ) + ) + + return "\n".join(diff_lines) + + +async def apply_file_edits( + file_path: str, edits: List[dict], dry_run: bool = False +) -> str: + """Apply edits to a file and return the diff.""" + # Read file content and normalize line endings + with open(file_path, "r", encoding="utf-8") as f: + content = normalize_line_endings(f.read()) + + # Apply edits sequentially + modified_content = content + for edit in edits: + normalized_old = normalize_line_endings(edit["oldText"]) + normalized_new = normalize_line_endings(edit["newText"]) + + # If exact match exists, use it + if normalized_old in modified_content: + modified_content = modified_content.replace(normalized_old, normalized_new) + continue + + # Otherwise, try line-by-line matching with flexibility for whitespace + old_lines = normalized_old.split("\n") + content_lines = modified_content.split("\n") + match_found = False + + for i in range(len(content_lines) - len(old_lines) + 1): + potential_match = content_lines[i : i + len(old_lines)] + + # Compare lines with normalized whitespace + is_match = all( + old_line.strip() == content_line.strip() + for old_line, content_line in zip(old_lines, potential_match) + ) + + if is_match: + # Preserve original indentation of first line + original_indent = "" + indent_match = potential_match[0].match(r"^\s*") + if indent_match: + original_indent = indent_match.group(0) + + new_lines = [] + for j, line in enumerate(normalized_new.split("\n")): + if j == 0: + new_lines.append(original_indent + line.lstrip()) + else: + # For subsequent lines, try to preserve relative indentation + old_indent = "" + new_indent = "" + + if j < len(old_lines): + old_indent_match = old_lines[j].match(r"^\s*") + if old_indent_match: + old_indent = old_indent_match.group(0) + + new_indent_match = line.match(r"^\s*") + if new_indent_match: + new_indent = new_indent_match.group(0) + + if old_indent and new_indent: + relative_indent = len(new_indent) - len(old_indent) + new_lines.append( + original_indent + + " " * max(0, relative_indent) + + line.lstrip() + ) + else: + new_lines.append(line) + + content_lines[i : i + len(old_lines)] = new_lines + modified_content = "\n".join(content_lines) + match_found = True + break + + if not match_found: + raise ValueError(f"Could not find exact match for edit:\n{edit['oldText']}") + + # Create unified diff + diff = create_unified_diff(content, modified_content, file_path) + + # Format diff with appropriate number of backticks + num_backticks = 3 + while "`" * num_backticks in diff: + num_backticks += 1 + formatted_diff = f"{'`' * num_backticks}diff\n{diff}\n{'`' * num_backticks}\n\n" + + if not dry_run: + with open(file_path, "w", encoding="utf-8") as f: + f.write(modified_content) + + return formatted_diff + + +async def build_directory_tree(current_path: str) -> List[TreeEntry]: + """Build a recursive tree structure of directories and files.""" + valid_path = await validate_path(current_path) + entries = os.listdir(valid_path) + result = [] + + for entry in entries: + entry_path = os.path.join(valid_path, entry) + is_dir = os.path.isdir(entry_path) + + entry_data = TreeEntry( + name=entry, + type="directory" if is_dir else "file", + children=[] if is_dir else None, + ) + + if is_dir: + entry_data.children = await build_directory_tree(entry_path) + + result.append(entry_data) + + return result + + +# Tool execution functions +async def execute_read_file(arguments: Dict[str, Any]) -> str: + """ファイルを読み込むツール実行関数""" + args = ReadFileArgs.model_validate(arguments) + valid_path = await validate_path(args.path) + + f = await asyncio.to_thread(open, valid_path, "r", encoding="utf-8") + try: + content = await asyncio.to_thread(f.read) + return content + finally: + await asyncio.to_thread(f.close) + + +async def execute_write_file(arguments: Dict[str, Any]) -> str: + """ファイルを書き込むツール実行関数""" + args = WriteFileArgs.model_validate(arguments) + valid_path = await validate_path(args.path) + + f = await asyncio.to_thread(open, valid_path, "w", encoding="utf-8") + try: + await asyncio.to_thread(f.write, args.content) + return f"ファイル '{args.path}' への書き込みに成功しました。" + finally: + await asyncio.to_thread(f.close) + + +async def execute_edit_file(arguments: Dict[str, Any]) -> str: + """ファイルを編集するツール実行関数""" + args = EditFileArgs.model_validate(arguments) + valid_path = await validate_path(args.path) + + # 型変換: EditOperation オブジェクトのリストから辞書のリストへ + edits_as_dicts = [edit.dict() for edit in args.edits] + return await apply_file_edits(valid_path, edits_as_dicts, args.dryRun) + + +async def execute_list_directory(arguments: Dict[str, Any]) -> str: + """ディレクトリの内容を一覧表示するツール実行関数""" + args = ListDirectoryArgs.model_validate(arguments) + valid_path = await validate_path(args.path) + + entries = await asyncio.to_thread(os.listdir, valid_path) + formatted = [] + + for entry in entries: + entry_path = os.path.join(valid_path, entry) + try: + # 各エントリも検証 + await validate_path(entry_path) + is_dir = await asyncio.to_thread(os.path.isdir, entry_path) + formatted.append(f"[DIR] {entry}" if is_dir else f"[FILE] {entry}") + except ValueError: + # アクセス不可のエントリはスキップまたは表示 + continue + + return ( + "\n".join(formatted) + if formatted + else "ディレクトリは空かアクセス可能なファイルがありません" + ) + + +async def execute_search_files(arguments: Dict[str, Any]) -> str: + """ファイルを検索するツール実行関数""" + args = SearchFilesArgs.model_validate(arguments) + valid_path = await validate_path(args.path) + + results = await search_files(valid_path, args.pattern, args.excludePatterns) + return "\n".join(results) if results else "一致するファイルは見つかりませんでした" + + +async def execute_create_directory(arguments: Dict[str, Any]) -> str: + """ディレクトリを作成するツール実行関数""" + args = CreateDirectoryArgs.model_validate(arguments) + valid_path = await validate_path(args.path) + + await asyncio.to_thread(os.makedirs, valid_path, exist_ok=True) + return f"ディレクトリ '{args.path}' の作成に成功しました" + + +async def execute_get_file_info(arguments: Dict[str, Any]) -> str: + """ファイル情報を取得するツール実行関数""" + args = GetFileInfoArgs.model_validate(arguments) + valid_path = await validate_path(args.path) + + info = await get_file_stats(valid_path) + return "\n".join(f"{key}: {value}" for key, value in info.dict().items()) + + +async def execute_directory_tree(arguments: Dict[str, Any]) -> str: + """ディレクトリツリーを取得するツール実行関数""" + args = DirectoryTreeArgs.model_validate(arguments) + valid_path = await validate_path(args.path) + + tree_data = await build_directory_tree(valid_path) + return json.dumps([entry.dict() for entry in tree_data], indent=2, default=str) + + +def get_filesystem_tools() -> List[Dict[str, Any]]: + """ファイルシステム操作ツールのリストを返します""" + tools = [ + { + "type": "function", + "function": { + "name": "read_file", + "description": "ファイルシステムからファイルの内容を読み込みます。", + "parameters": { + "type": "object", + "properties": { + "path": { + "type": "string", + "description": "読み込むファイルのパス", + } + }, + "required": ["path"], + }, + }, + "execute": execute_read_file, + }, + { + "type": "function", + "function": { + "name": "write_file", + "description": "ファイルシステムにファイルを書き込みます。", + "parameters": { + "type": "object", + "properties": { + "path": { + "type": "string", + "description": "書き込み先のファイルパス", + }, + "content": { + "type": "string", + "description": "ファイルに書き込む内容", + }, + }, + "required": ["path", "content"], + }, + }, + "execute": execute_write_file, + }, + { + "type": "function", + "function": { + "name": "edit_file", + "description": "既存ファイルの一部を編集します。", + "parameters": { + "type": "object", + "properties": { + "path": { + "type": "string", + "description": "編集するファイルのパス", + }, + "edits": { + "type": "array", + "items": { + "type": "object", + "properties": { + "oldText": { + "type": "string", + "description": "置換対象のテキスト", + }, + "newText": { + "type": "string", + "description": "新しいテキスト", + }, + }, + "required": ["oldText", "newText"], + }, + "description": "適用する編集のリスト", + }, + "dryRun": { + "type": "boolean", + "description": "TrueならDiffのみ表示し、実際には編集しない", + "default": False, + }, + }, + "required": ["path", "edits"], + }, + }, + "execute": execute_edit_file, + }, + { + "type": "function", + "function": { + "name": "list_directory", + "description": "ディレクトリ内のファイルとフォルダをリストアップします。", + "parameters": { + "type": "object", + "properties": { + "path": { + "type": "string", + "description": "リストアップするディレクトリのパス", + } + }, + "required": ["path"], + }, + }, + "execute": execute_list_directory, + }, + { + "type": "function", + "function": { + "name": "search_files", + "description": "パターンに一致するファイルを検索します。", + "parameters": { + "type": "object", + "properties": { + "path": { + "type": "string", + "description": "検索を開始するディレクトリのパス", + }, + "pattern": {"type": "string", "description": "検索パターン"}, + "excludePatterns": { + "type": "array", + "items": {"type": "string"}, + "description": "除外するパターンのリスト", + }, + }, + "required": ["path", "pattern"], + }, + }, + "execute": execute_search_files, + }, + { + "type": "function", + "function": { + "name": "create_directory", + "description": "新しいディレクトリを作成します。", + "parameters": { + "type": "object", + "properties": { + "path": { + "type": "string", + "description": "作成するディレクトリのパス", + } + }, + "required": ["path"], + }, + }, + "execute": execute_create_directory, + }, + { + "type": "function", + "function": { + "name": "get_file_info", + "description": "ファイルやディレクトリの詳細情報を取得します。", + "parameters": { + "type": "object", + "properties": { + "path": { + "type": "string", + "description": "情報を取得するファイルまたはディレクトリのパス", + } + }, + "required": ["path"], + }, + }, + "execute": execute_get_file_info, + }, + { + "type": "function", + "function": { + "name": "directory_tree", + "description": "指定されたパスから始まるディレクトリとファイルの再帰的なツリー構造を取得します。", + "parameters": { + "type": "object", + "properties": { + "path": { + "type": "string", + "description": "ツリーのルートディレクトリ", + } + }, + "required": ["path"], + }, + }, + "execute": execute_directory_tree, + }, + ] + return tools diff --git a/llm_coder/shell_command.py b/llm_coder/shell_command.py new file mode 100644 index 0000000..ff396c5 --- /dev/null +++ b/llm_coder/shell_command.py @@ -0,0 +1,137 @@ +#!/usr/bin/env python3 + +import asyncio +import sys +from typing import List, Dict, Any + +import structlog + +try: + from pydantic import BaseModel, Field +except ImportError: + print("Error: pydantic package required. Install with 'pip install pydantic'") + sys.exit(1) + +logger = structlog.get_logger(__name__) + + +# スキーマ定義 +class ShellCommandArgs(BaseModel): + command: str = Field( + ..., description="実行するシェルコマンド文字列", min_length=1 + ) # min_length=1 を追加 + timeout: int = Field(default=60, description="コマンドのタイムアウト秒数") + + +# ツール実行関数 +async def execute_shell_command_async(arguments: Dict[str, Any]) -> str: + """シェルコマンドを実行し、その出力を返すツール実行関数""" + try: + args = ShellCommandArgs.model_validate(arguments) + except Exception as e: + logger.error( + "シェルコマンド引数の検証に失敗しました", error=str(e), arguments=arguments + ) + return f"引数エラー: {str(e)}" + + logger.info( + "シェルコマンドを実行します", command=args.command, timeout=args.timeout + ) + + try: + # asyncio.create_subprocess_shell を使用してコマンドを実行 + process = await asyncio.create_subprocess_shell( + args.command, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE + ) + + # タイムアウト付きで待機 + stdout, stderr = await asyncio.wait_for( + process.communicate(), timeout=args.timeout + ) + + output = "" + if stdout: + output += f"Stdout:\n{stdout.decode(errors='replace')}\n" + if stderr: + output += f"Stderr:\n{stderr.decode(errors='replace')}\n" + + if process.returncode != 0: + output += f"Return code: {process.returncode}\n" + logger.warning( + "シェルコマンドがエラーで終了しました", + command=args.command, + return_code=process.returncode, + stdout=stdout.decode(errors="replace"), + stderr=stderr.decode(errors="replace"), + ) + else: + logger.info( + "シェルコマンドの実行に成功しました", + command=args.command, + return_code=process.returncode, + ) + + return output if output else "コマンドは出力を生成しませんでした。" + + except asyncio.TimeoutError: + logger.error( + "シェルコマンドがタイムアウトしました", + command=args.command, + timeout=args.timeout, + ) + # タイムアウトした場合、プロセスを強制終了しようと試みる + if process and process.returncode is None: + try: + process.terminate() + await asyncio.wait_for(process.wait(), timeout=5) # terminate後の待機 + except asyncio.TimeoutError: + process.kill() # terminateが効かなければkill + await process.wait() + except Exception as e_kill: + logger.error( + "タイムアウトしたプロセスの終了中にエラー", error=str(e_kill) + ) + return f"コマンド '{args.command}' がタイムアウトしました ({args.timeout}秒)。" + except FileNotFoundError: + logger.error( + "シェルコマンドの実行に失敗しました: コマンドが見つかりません", + command=args.command, + ) + return f"コマンド '{args.command}' が見つかりません。パスを確認してください。" + except Exception as e: + logger.error( + "シェルコマンドの実行中に予期せぬエラーが発生しました", + command=args.command, + error=str(e), + ) + return f"コマンド '{args.command}' の実行中にエラーが発生しました: {str(e)}" + + +def get_shell_command_tools() -> List[Dict[str, Any]]: + """シェルコマンド操作ツールのリストを返します""" + tools = [ + { + "type": "function", + "function": { + "name": "execute_shell_command", + "description": "指定されたシェルコマンドを実行し、標準出力と標準エラー出力を返します。セキュリティリスクを伴うため、注意して使用してください。", + "parameters": { + "type": "object", + "properties": { + "command": { + "type": "string", + "description": "実行する完全なシェルコマンド文字列。", + }, + "timeout": { + "type": "integer", + "description": "コマンドがタイムアウトするまでの秒数。デフォルトは60秒。", + "default": 60, + }, + }, + "required": ["command"], + }, + }, + "execute": execute_shell_command_async, + } + ] + return tools diff --git a/llm_coder_config.example.toml b/llm_coder_config.example.toml new file mode 100644 index 0000000..dc85392 --- /dev/null +++ b/llm_coder_config.example.toml @@ -0,0 +1,47 @@ +# llm_coder の設定ファイルサンプル + +# 実行するプロンプト (省略可能。コマンドライン引数や標準入力で指定できます) +# prompt = "ここにデフォルトのプロンプトを記述します" + +# 使用するLLMモデル +model = "gpt-4.1-nano" # 例: "gpt-4-turbo", "gemini-pro" + +# LLMの温度パラメータ (0.0 から 2.0 の間。高いほど創造的、低いほど決定論的) +temperature = 0.5 + +# 最大実行イテレーション数 (エージェントが試行する最大回数) +max_iterations = 10 + +# ファイルシステム操作を許可するディレクトリのリスト +# デフォルトでは、CLIを実行したカレントワーキングディレクトリが許可されます。 +# ここで指定すると、その設定がCLIのデフォルトよりも優先されます。 +# コマンドラインで --allowed-dirs を指定すると、この設定は上書きされます。 +allowed_dirs = [ + ".", # カレントディレクトリを許可 + "playground", # playground ディレクトリを許可 (存在する場合) + # "/tmp/llm_coder_output" # 必要に応じて他のディレクトリを追加 +] + +# リポジトリの説明プロンプト (エージェントにリポジトリのコンテキストを理解させるために使用) +repository_description_prompt = """ +## server ディレクトリ (Python FastAPIプロジェクト) + +### コマンド +- **Lint:** `uv run ruff check .` +- **Format:** `uv run ruff format .` +- **Test:** `uv run pytest` + +## front ディレクトリ (TypeScript React Viteプロジェクト) + +### セットアップ +プロジェクトのルートディレクトリ (front) で以下のコマンドを実行して、依存関係をインストールします。 +```bash +yarn install +``` + +### コマンド (package.json の scripts を参照) +- **Lint:** `yarn lint` (内部的に `eslint .` を実行) +- **Format:** `yarn lint -- --fix` (eslint を使って修正) または別途 Prettier などを導入している場合はそのコマンド (`npx prettier --write .` など) +- **Test:** `yarn test` (内部的に `vitest` を実行) + +""" diff --git a/playground/front/.gitignore b/playground/front/.gitignore new file mode 100644 index 0000000..a547bf3 --- /dev/null +++ b/playground/front/.gitignore @@ -0,0 +1,24 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/playground/front/README.md b/playground/front/README.md new file mode 100644 index 0000000..da98444 --- /dev/null +++ b/playground/front/README.md @@ -0,0 +1,54 @@ +# React + TypeScript + Vite + +This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules. + +Currently, two official plugins are available: + +- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Babel](https://babeljs.io/) for Fast Refresh +- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh + +## Expanding the ESLint configuration + +If you are developing a production application, we recommend updating the configuration to enable type-aware lint rules: + +```js +export default tseslint.config({ + extends: [ + // Remove ...tseslint.configs.recommended and replace with this + ...tseslint.configs.recommendedTypeChecked, + // Alternatively, use this for stricter rules + ...tseslint.configs.strictTypeChecked, + // Optionally, add this for stylistic rules + ...tseslint.configs.stylisticTypeChecked, + ], + languageOptions: { + // other options... + parserOptions: { + project: ['./tsconfig.node.json', './tsconfig.app.json'], + tsconfigRootDir: import.meta.dirname, + }, + }, +}) +``` + +You can also install [eslint-plugin-react-x](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-x) and [eslint-plugin-react-dom](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-dom) for React-specific lint rules: + +```js +// eslint.config.js +import reactX from 'eslint-plugin-react-x' +import reactDom from 'eslint-plugin-react-dom' + +export default tseslint.config({ + plugins: { + // Add the react-x and react-dom plugins + 'react-x': reactX, + 'react-dom': reactDom, + }, + rules: { + // other rules... + // Enable its recommended typescript rules + ...reactX.configs['recommended-typescript'].rules, + ...reactDom.configs.recommended.rules, + }, +}) +``` diff --git a/playground/front/eslint.config.js b/playground/front/eslint.config.js new file mode 100644 index 0000000..092408a --- /dev/null +++ b/playground/front/eslint.config.js @@ -0,0 +1,28 @@ +import js from '@eslint/js' +import globals from 'globals' +import reactHooks from 'eslint-plugin-react-hooks' +import reactRefresh from 'eslint-plugin-react-refresh' +import tseslint from 'typescript-eslint' + +export default tseslint.config( + { ignores: ['dist'] }, + { + extends: [js.configs.recommended, ...tseslint.configs.recommended], + files: ['**/*.{ts,tsx}'], + languageOptions: { + ecmaVersion: 2020, + globals: globals.browser, + }, + plugins: { + 'react-hooks': reactHooks, + 'react-refresh': reactRefresh, + }, + rules: { + ...reactHooks.configs.recommended.rules, + 'react-refresh/only-export-components': [ + 'warn', + { allowConstantExport: true }, + ], + }, + }, +) diff --git a/playground/front/index.html b/playground/front/index.html new file mode 100644 index 0000000..e4b78ea --- /dev/null +++ b/playground/front/index.html @@ -0,0 +1,13 @@ + + + + + + + Vite + React + TS + + +
+ + + diff --git a/playground/front/package.json b/playground/front/package.json new file mode 100644 index 0000000..ca93be8 --- /dev/null +++ b/playground/front/package.json @@ -0,0 +1,31 @@ +{ + "name": "front", + "private": true, + "version": "0.0.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "tsc -b && vite build", + "lint": "eslint .", + "preview": "vite preview", + "test": "vitest" + }, + "dependencies": { + "react": "^19.1.0", + "react-dom": "^19.1.0" + }, + "devDependencies": { + "@eslint/js": "^9.25.0", + "@types/react": "^19.1.2", + "@types/react-dom": "^19.1.2", + "@vitejs/plugin-react-swc": "^3.9.0", + "eslint": "^9.25.0", + "eslint-plugin-react-hooks": "^5.2.0", + "eslint-plugin-react-refresh": "^0.4.19", + "globals": "^16.0.0", + "typescript": "~5.8.3", + "typescript-eslint": "^8.30.1", + "vite": "^6.3.5", + "vitest": "^3.1.3" + } +} diff --git a/playground/front/public/vite.svg b/playground/front/public/vite.svg new file mode 100644 index 0000000..e7b8dfb --- /dev/null +++ b/playground/front/public/vite.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/playground/front/src/App.css b/playground/front/src/App.css new file mode 100644 index 0000000..b9d355d --- /dev/null +++ b/playground/front/src/App.css @@ -0,0 +1,42 @@ +#root { + max-width: 1280px; + margin: 0 auto; + padding: 2rem; + text-align: center; +} + +.logo { + height: 6em; + padding: 1.5em; + will-change: filter; + transition: filter 300ms; +} +.logo:hover { + filter: drop-shadow(0 0 2em #646cffaa); +} +.logo.react:hover { + filter: drop-shadow(0 0 2em #61dafbaa); +} + +@keyframes logo-spin { + from { + transform: rotate(0deg); + } + to { + transform: rotate(360deg); + } +} + +@media (prefers-reduced-motion: no-preference) { + a:nth-of-type(2) .logo { + animation: logo-spin infinite 20s linear; + } +} + +.card { + padding: 2em; +} + +.read-the-docs { + color: #888; +} diff --git a/playground/front/src/App.tsx b/playground/front/src/App.tsx new file mode 100644 index 0000000..3d7ded3 --- /dev/null +++ b/playground/front/src/App.tsx @@ -0,0 +1,35 @@ +import { useState } from 'react' +import reactLogo from './assets/react.svg' +import viteLogo from '/vite.svg' +import './App.css' + +function App() { + const [count, setCount] = useState(0) + + return ( + <> +
+ + Vite logo + + + React logo + +
+

Vite + React

+
+ +

+ Edit src/App.tsx and save to test HMR +

+
+

+ Click on the Vite and React logos to learn more +

+ + ) +} + +export default App diff --git a/playground/front/src/assets/react.svg b/playground/front/src/assets/react.svg new file mode 100644 index 0000000..6c87de9 --- /dev/null +++ b/playground/front/src/assets/react.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/playground/front/src/index.css b/playground/front/src/index.css new file mode 100644 index 0000000..08a3ac9 --- /dev/null +++ b/playground/front/src/index.css @@ -0,0 +1,68 @@ +:root { + font-family: system-ui, Avenir, Helvetica, Arial, sans-serif; + line-height: 1.5; + font-weight: 400; + + color-scheme: light dark; + color: rgba(255, 255, 255, 0.87); + background-color: #242424; + + font-synthesis: none; + text-rendering: optimizeLegibility; + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; +} + +a { + font-weight: 500; + color: #646cff; + text-decoration: inherit; +} +a:hover { + color: #535bf2; +} + +body { + margin: 0; + display: flex; + place-items: center; + min-width: 320px; + min-height: 100vh; +} + +h1 { + font-size: 3.2em; + line-height: 1.1; +} + +button { + border-radius: 8px; + border: 1px solid transparent; + padding: 0.6em 1.2em; + font-size: 1em; + font-weight: 500; + font-family: inherit; + background-color: #1a1a1a; + cursor: pointer; + transition: border-color 0.25s; +} +button:hover { + border-color: #646cff; +} +button:focus, +button:focus-visible { + outline: 4px auto -webkit-focus-ring-color; +} + +@media (prefers-color-scheme: light) { + :root { + color: #213547; + background-color: #ffffff; + } + a:hover { + color: #747bff; + } + button { + background-color: #f9f9f9; + } +} diff --git a/playground/front/src/main.tsx b/playground/front/src/main.tsx new file mode 100644 index 0000000..bef5202 --- /dev/null +++ b/playground/front/src/main.tsx @@ -0,0 +1,10 @@ +import { StrictMode } from 'react' +import { createRoot } from 'react-dom/client' +import './index.css' +import App from './App.tsx' + +createRoot(document.getElementById('root')!).render( + + + , +) diff --git a/playground/front/src/utils.test.ts b/playground/front/src/utils.test.ts new file mode 100644 index 0000000..2147a0a --- /dev/null +++ b/playground/front/src/utils.test.ts @@ -0,0 +1,16 @@ +import { expect, it } from "vitest"; +import { tranformHankakuToZenkaku } from "./utils"; + +it("tranformHankakuToZenkaku", () => { + const testCases = [ + { input: "abc", expected: "abc" }, + { input: "123", expected: "123" }, + { input: "9", expected: "9" }, + { input: "あいう", expected: "あいう" }, + { input: "5", expected: "5" }, + ]; + + testCases.forEach((tc) => + expect(tranformHankakuToZenkaku(tc.input)).toEqual(tc.expected) + ); +}); diff --git a/playground/front/src/utils.ts b/playground/front/src/utils.ts new file mode 100644 index 0000000..6348969 --- /dev/null +++ b/playground/front/src/utils.ts @@ -0,0 +1,5 @@ +export function tranformHankakuToZenkaku(str: string): string { + return str.replace(/[A-Za-z0-9]/g, function (s) { + return String.fromCharCode(s.charCodeAt(0) + 0xfee0); + }); +} diff --git a/playground/front/src/vite-env.d.ts b/playground/front/src/vite-env.d.ts new file mode 100644 index 0000000..11f02fe --- /dev/null +++ b/playground/front/src/vite-env.d.ts @@ -0,0 +1 @@ +/// diff --git a/playground/front/tsconfig.app.json b/playground/front/tsconfig.app.json new file mode 100644 index 0000000..c9ccbd4 --- /dev/null +++ b/playground/front/tsconfig.app.json @@ -0,0 +1,27 @@ +{ + "compilerOptions": { + "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.app.tsbuildinfo", + "target": "ES2020", + "useDefineForClassFields": true, + "lib": ["ES2020", "DOM", "DOM.Iterable"], + "module": "ESNext", + "skipLibCheck": true, + + /* Bundler mode */ + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "verbatimModuleSyntax": true, + "moduleDetection": "force", + "noEmit": true, + "jsx": "react-jsx", + + /* Linting */ + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "erasableSyntaxOnly": true, + "noFallthroughCasesInSwitch": true, + "noUncheckedSideEffectImports": true + }, + "include": ["src"] +} diff --git a/playground/front/tsconfig.json b/playground/front/tsconfig.json new file mode 100644 index 0000000..1ffef60 --- /dev/null +++ b/playground/front/tsconfig.json @@ -0,0 +1,7 @@ +{ + "files": [], + "references": [ + { "path": "./tsconfig.app.json" }, + { "path": "./tsconfig.node.json" } + ] +} diff --git a/playground/front/tsconfig.node.json b/playground/front/tsconfig.node.json new file mode 100644 index 0000000..9728af2 --- /dev/null +++ b/playground/front/tsconfig.node.json @@ -0,0 +1,25 @@ +{ + "compilerOptions": { + "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.node.tsbuildinfo", + "target": "ES2022", + "lib": ["ES2023"], + "module": "ESNext", + "skipLibCheck": true, + + /* Bundler mode */ + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "verbatimModuleSyntax": true, + "moduleDetection": "force", + "noEmit": true, + + /* Linting */ + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "erasableSyntaxOnly": true, + "noFallthroughCasesInSwitch": true, + "noUncheckedSideEffectImports": true + }, + "include": ["vite.config.ts"] +} diff --git a/playground/front/vite.config.ts b/playground/front/vite.config.ts new file mode 100644 index 0000000..2328e17 --- /dev/null +++ b/playground/front/vite.config.ts @@ -0,0 +1,7 @@ +import { defineConfig } from 'vite' +import react from '@vitejs/plugin-react-swc' + +// https://vite.dev/config/ +export default defineConfig({ + plugins: [react()], +}) diff --git a/playground/front/yarn.lock b/playground/front/yarn.lock new file mode 100644 index 0000000..eb33117 --- /dev/null +++ b/playground/front/yarn.lock @@ -0,0 +1,2040 @@ +# THIS IS AN AUTOGENERATED FILE. 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a/playground/server/README.md b/playground/server/README.md new file mode 100644 index 0000000..88ff08b --- /dev/null +++ b/playground/server/README.md @@ -0,0 +1,3 @@ +```sh +uv run fastapi dev main.py +``` diff --git a/playground/server/main.py b/playground/server/main.py new file mode 100644 index 0000000..3945852 --- /dev/null +++ b/playground/server/main.py @@ -0,0 +1,27 @@ +from typing import Union + +from fastapi import FastAPI +from pydantic import BaseModel + +app = FastAPI() + + +class Item(BaseModel): + name: str + price: float + is_offer: Union[bool, None] = None + + +@app.get("/") +def read_root(): + return "Hello USA" + + +@app.get("/items/{item_id}") +def read_item(item_id: int, q: Union[str, None] = None): + return {"item_id": item_id, "q": q} + + +@app.put("/items/{item_id}") +def update_item(item_id: int, item: Item): + return {"item_name": item.name, "item_id": item_id} diff --git a/playground/server/pyproject.toml b/playground/server/pyproject.toml new file mode 100644 index 0000000..c939197 --- /dev/null +++ b/playground/server/pyproject.toml @@ -0,0 +1,16 @@ +[project] +name = "server" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.11" +dependencies = [ + "fastapi[standard]>=0.115.12", + "pydantic>=2.11.4", +] + +[dependency-groups] +dev = [ + "pytest>=8.3.5", + "ruff>=0.11.9", +] diff --git a/playground/server/test_main.py b/playground/server/test_main.py new file mode 100644 index 0000000..77dff09 --- /dev/null +++ b/playground/server/test_main.py @@ -0,0 +1,65 @@ +from fastapi.testclient import TestClient +from main import app # main.py から app をインポート + +client = TestClient(app) + + +def test_read_root(): + """ + ルートエンドポイント ("/") のテスト。 + """ + response = client.get("/") + assert response.status_code == 200 + assert response.json() == "Hello USA" + + +def test_read_item(): + """ + GET /items/{item_id} エンドポイントのテスト。 + """ + # クエリパラメータなしの場合 + response = client.get("/items/42") + assert response.status_code == 200 + assert response.json() == {"item_id": 42, "q": None} + + # クエリパラメータありの場合 + response = client.get("/items/42?q=testquery") + assert response.status_code == 200 + assert response.json() == {"item_id": 42, "q": "testquery"} + + +def test_read_item_not_found(): + """ + GET /items/{item_id} エンドポイントで、数値でないitem_idの場合のテスト。 + FastAPIが自動的に422 Unprocessable Entityを返すことを期待。 + """ + response = client.get("/items/foo") + assert response.status_code == 422 # FastAPIによるバリデーションエラー + + +def test_update_item(): + """ + PUT /items/{item_id} エンドポイントのテスト。 + """ + item_data = {"name": "Test Item", "price": 9.99, "is_offer": True} + response = client.put("/items/1", json=item_data) + assert response.status_code == 200 + assert response.json() == {"item_name": "Test Item", "item_id": 1} + + +def test_update_item_invalid_payload(): + """ + PUT /items/{item_id} エンドポイントで、不正なペイロードの場合のテスト。 + """ + # price がない場合 (必須フィールド) + item_data_missing_price = {"name": "Test Item No Price"} + response = client.put("/items/2", json=item_data_missing_price) + assert response.status_code == 422 # FastAPIによるバリデーションエラー + + # price の型が不正な場合 + item_data_invalid_price_type = { + "name": "Test Item Invalid Price", + "price": "not-a-float", + } + response = client.put("/items/3", json=item_data_invalid_price_type) + assert response.status_code == 422 # FastAPIによるバリデーションエラー diff --git a/playground/server/test_textutil.py b/playground/server/test_textutil.py new file mode 100644 index 0000000..92fc863 --- /dev/null +++ b/playground/server/test_textutil.py @@ -0,0 +1,12 @@ +from textutil import han2zen + + +def test_han2zen(): + "han to zen" + query_zen = han2zen( + "!\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{|}~" + ) + assert ( + query_zen + == "!"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~" + ) diff --git a/playground/server/textutil.py b/playground/server/textutil.py new file mode 100644 index 0000000..afcab8c --- /dev/null +++ b/playground/server/textutil.py @@ -0,0 +1,9 @@ +ZEN = "".join(chr(0xFF01 + i) for i in range(94)) +HAN = "".join(chr(0x21 + i) for i in range(94)) +HAN2ZEN = str.maketrans(HAN, ZEN) + + +# 半角から全角 +def han2zen(query: str) -> str: + # 半角から全角 + return query.translate(HAN2ZEN) diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..b7efbed --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,22 @@ +[project] +name = "llm-coder" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.11" +dependencies = [ + "litellm>=1.68.2", + "pydantic>=2.11.4", + "structlog>=25.3.0", + "toml>=0.10.2", +] + +[dependency-groups] +dev = [ + "pytest>=8.3.5", + "pytest-asyncio>=0.26.0", + "ruff>=0.11.9", +] + +[tool.uv.workspace] +members = ["playground/server"] diff --git a/pytest.ini b/pytest.ini new file mode 100644 index 0000000..0102b0a --- /dev/null +++ b/pytest.ini @@ -0,0 +1,2 @@ +[pytest] +asyncio_default_fixture_loop_scope = function diff --git a/setup.py b/setup.py new file mode 100644 index 0000000..50168f8 --- /dev/null +++ b/setup.py @@ -0,0 +1,16 @@ +from setuptools import setup, find_packages + +setup( + name="llm-coder", + version="0.1.0", + packages=find_packages(), + entry_points={ + "console_scripts": [ + "llm-coder=llm_coder.cli:run_cli", + ], + }, + description="LLM Coder CLI tool", + author="Tomokatsu Iguchi", + author_email="llm_coder@igtm.link", + python_requires=">=3.7", +) diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..2ac1b01 --- /dev/null +++ b/tests/__init__.py @@ -0,0 +1 @@ +# テストディレクトリをPythonパッケージとして認識させるためのファイル diff --git a/tests/test_agent.py b/tests/test_agent.py new file mode 100644 index 0000000..1437e6f --- /dev/null +++ b/tests/test_agent.py @@ -0,0 +1,267 @@ +import pytest +from unittest.mock import patch, AsyncMock +import json +import sys +import os +from typing import Dict, Any, List + +# テスト対象のモジュールをインポート +sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))) +from llm_coder.agent import Agent + + +# モック用のレスポンスクラス群 +class MockChoiceMessage: + """LiteLLM レスポンスの message 部分を模倣するクラス""" + + def __init__(self, content: str = None, tool_calls: List[Dict[str, Any]] = None): + self.content = content + self.tool_calls = tool_calls + + def get(self, key: str, default: Any = None) -> Any: + """辞書風の get メソッドを提供""" + if key == "content": + return self.content + elif key == "tool_calls": + return self.tool_calls + return default + + +class MockChoice: + """LiteLLM レスポンスの choices 配列の要素を模倣するクラス""" + + def __init__(self, message: MockChoiceMessage): + self.message = message + + +class MockResponse: + """litellm.acompletion のレスポンス全体を模倣するクラス""" + + def __init__(self, id: str, choices_data: List[Dict[str, Any]]): + self.id = id + self.choices: List[MockChoice] = [] + for choice_item_data in choices_data: + message_dict = choice_item_data.get("message", {}) + mock_message_obj = MockChoiceMessage( + content=message_dict.get("content"), + tool_calls=message_dict.get("tool_calls"), + ) + self.choices.append(MockChoice(message=mock_message_obj)) + + +# テスト用のフィクスチャ +@pytest.fixture +def mock_tools(): + """テスト用のモックツール定義""" + return [ + { + "type": "function", + "function": { + "name": "read_file", + "description": "ファイルの内容を読み込む", + "parameters": { + "type": "object", + "properties": {"path": {"type": "string"}}, + "required": ["path"], + }, + }, + "execute": AsyncMock(return_value="ファイル内容のモック"), + } + ] + + +# 簡単なタスクのテスト +@pytest.mark.asyncio +@patch("litellm.acompletion") +async def test_run_with_simple_task(mock_acompletion, mock_tools): + """簡単なタスクでagentのrunメソッドをテストする""" + # litellm.acompletion の各呼び出しに対するモックレスポンスを設定 + + # 計画フェーズのレスポンス + planning_response = MockResponse( + id="mock-plan-123", + choices_data=[ + { + "message": { + "content": "タスクを実行するには以下のステップが必要です:\n1. ファイルを読み込む\n2. 内容を確認する", + "tool_calls": [ + { + "id": "call_123", + "function": { + "name": "read_file", + "arguments": json.dumps({"path": "test.txt"}), + }, + } + ], + } + } + ], + ) + + # 実行フェーズのレスポンス + execution_response = MockResponse( + id="mock-execution-123", + choices_data=[ + { + "message": { + "content": "ファイルを読み込みました。タスクは完了しました。", + "tool_calls": None, + } + } + ], + ) + + # 最終要約のレスポンス + summary_response = MockResponse( + id="mock-summary-123", + choices_data=[ + {"message": {"content": "タスクの要約: ファイルを正常に読み込みました。"}} + ], + ) + + # モック関数が順番に異なるレスポンスを返すように設定 + mock_acompletion.side_effect = [ + planning_response, # 計画フェーズの呼び出し + execution_response, # 実行フェーズの呼び出し + summary_response, # 最終要約の呼び出し + ] + + # Agentのインスタンスを作成 + agent = Agent( + model="mock-model", + temperature=0.0, + max_iterations=3, + available_tools=mock_tools, + ) + + # エージェントを実行 + result = await agent.run("test.txtファイルを読み込んでください") + + # 結果を検証 + assert result == "タスクの要約: ファイルを正常に読み込みました。" + + # litellm.acompletion が正しく呼び出されたことを検証 + assert mock_acompletion.call_count == 3 + + # 各呼び出しのパラメータを検証 + calls = mock_acompletion.call_args_list + + # 1回目の呼び出し (計画フェーズ) + assert calls[0][1]["model"] == "mock-model" + assert calls[0][1]["temperature"] == 0.0 + assert "tools" in calls[0][1] + assert len(calls[0][1]["messages"]) == 2 # システムメッセージとユーザーメッセージ + + # 2回目の呼び出し (実行フェーズ) + assert calls[1][1]["model"] == "mock-model" + assert len(calls[1][1]["messages"]) > 2 # 履歴にツール実行結果が追加されている + + # 3回目の呼び出し (最終要約) + assert calls[2][1]["model"] == "mock-model" + assert "tools" not in calls[2][1] # 要約フェーズではツールを使用しない + + +# 複数ツール呼び出しのテスト +@pytest.mark.asyncio +@patch("litellm.acompletion") +async def test_run_with_multiple_tool_calls(mock_acompletion, mock_tools): + """複数のツール実行を含むタスクをテストする""" + # 1回目: 計画フェーズ - 2つのツール呼び出しを含むレスポンス + plan_response = MockResponse( + id="mock-plan-456", + choices_data=[ + { + "message": { + "content": "複数ファイルを読み込む計画", + "tool_calls": [ + { + "id": "call_1", + "function": { + "name": "read_file", + "arguments": json.dumps({"path": "file1.txt"}), + }, + } + ], + } + } + ], + ) + + # 2回目: ツール実行後のレスポンス - 別のツールを呼び出す + next_response = MockResponse( + id="mock-next-456", + choices_data=[ + { + "message": { + "content": "別のファイルも読み込みます", + "tool_calls": [ + { + "id": "call_2", + "function": { + "name": "read_file", + "arguments": json.dumps({"path": "file2.txt"}), + }, + } + ], + } + } + ], + ) + + # 3回目: 全てのツール実行後の完了レスポンス + complete_response = MockResponse( + id="mock-complete-456", + choices_data=[ + { + "message": { + "content": "すべてのファイルを読み込みました。タスク完了。", + "tool_calls": None, + } + } + ], + ) + + # 4回目: 要約レスポンス + summary_response = MockResponse( + id="mock-summary-456", + choices_data=[ + { + "message": { + "content": "2つのファイルを読み込みました: file1.txt と file2.txt" + } + } + ], + ) + + # モック関数の応答を設定 + mock_acompletion.side_effect = [ + plan_response, # 計画フェーズ + next_response, # 1つ目のツール実行後 + complete_response, # 2つ目のツール実行後 + summary_response, # 最終要約 + ] + + # Agentのインスタンスを作成 + agent = Agent( + model="mock-model", + temperature=0.0, + max_iterations=5, + available_tools=mock_tools, + ) + + # エージェントを実行 + result = await agent.run("file1.txt と file2.txt を読み込んでください") + + # 結果を検証 + assert result == "2つのファイルを読み込みました: file1.txt と file2.txt" + + # litellm.acompletion が正しく呼び出されたことを検証 + assert mock_acompletion.call_count == 4 + + # ツール実行関数が2回呼ばれたことを検証 + tool_execute = mock_tools[0]["execute"] + assert tool_execute.call_count == 2 + + # 呼び出し引数を検証 + assert tool_execute.call_args_list[0][0][0] == {"path": "file1.txt"} + assert tool_execute.call_args_list[1][0][0] == {"path": "file2.txt"} diff --git a/tests/test_shell_command.py b/tests/test_shell_command.py new file mode 100644 index 0000000..d50fa0a --- /dev/null +++ b/tests/test_shell_command.py @@ -0,0 +1,131 @@ +import pytest +import structlog + +from llm_coder.shell_command import get_shell_command_tools + +# pytest-asyncio を使用するため、イベントループのフィクスチャは不要な場合が多い +# pytest が自動的に処理してくれる + +# テスト用の structlog 設定 (必要に応じて) +structlog.configure( + processors=[ + structlog.stdlib.add_logger_name, + structlog.stdlib.add_log_level, + structlog.dev.ConsoleRenderer(), # シンプルなコンソール出力 + ], + logger_factory=structlog.stdlib.LoggerFactory(), + wrapper_class=structlog.stdlib.BoundLogger, +) +logger = structlog.get_logger(__name__) + + +@pytest.fixture +def shell_tool_executor(): + """シェルコマンド実行ツールを提供するフィクスチャ""" + tools_list = get_shell_command_tools() + assert len(tools_list) == 1 + assert tools_list[0]["function"]["name"] == "execute_shell_command" + return tools_list[0]["execute"] + + +@pytest.mark.asyncio +async def test_shell_command_success(shell_tool_executor): + """正常に実行されるシェルコマンドのテスト""" + logger.info("テストケース: 成功するコマンド") + args = {"command": "echo 'Hello from pytest shell'"} + result = await shell_tool_executor(args) + assert "Hello from pytest shell" in result + assert "Stderr:" not in result # エラー出力がないことを期待 + assert ( + "Return code: 0" in result + or "コマンドは出力を生成しませんでした。" not in result + ) # 成功時はReturn code 0 + + +@pytest.mark.asyncio +async def test_shell_command_ls(shell_tool_executor): + """lsコマンドの成功テスト""" + logger.info("テストケース: lsコマンド") + # Pythonの実行ファイル名が含まれているかなどで確認 + # 環境依存を減らすため、特定のファイル名ではなく、一般的な出力を期待する + args = {"command": "ls -a"} # 隠しファイルも表示 + result = await shell_tool_executor(args) + assert "." in result # カレントディレクトリ + assert ".." in result # 親ディレクトリ + assert ( + "Return code: 0" in result + or "コマンドは出力を生成しませんでした。" not in result + ) + + +@pytest.mark.asyncio +async def test_shell_command_non_existent_command(shell_tool_executor): + """存在しないコマンドのテスト""" + logger.info("テストケース: 失敗するコマンド (存在しないコマンド)") + args = {"command": "some_highly_improbable_non_existent_command_for_test"} + result = await shell_tool_executor(args) + assert ( + f"コマンド '{args['command']}' が見つかりません" in result + or "Return code:" in result + ) # OSによりメッセージが異なる可能性 + # FileNotFoundError の場合、"Return code:" は含まれないことがある + + +@pytest.mark.asyncio +async def test_shell_command_error_code(shell_tool_executor): + """エラーコードを返すコマンドのテスト""" + logger.info("テストケース: エラーコードを返すコマンド") + args = {"command": "ls /non_existent_directory_for_testing_error_codes_123xyz"} + result = await shell_tool_executor(args) + assert "Stderr:" in result + assert "Return code:" in result + assert "Return code: 0" not in result # 0以外のリターンコードを期待 + + +@pytest.mark.asyncio +async def test_shell_command_timeout(shell_tool_executor): + """タイムアウトするコマンドのテスト""" + logger.info("テストケース: タイムアウトするコマンド") + args = {"command": "sleep 3", "timeout": 1} # 1秒でタイムアウト + result = await shell_tool_executor(args) + assert ( + f"コマンド '{args['command']}' がタイムアウトしました ({args['timeout']}秒)。" + in result + ) + + +@pytest.mark.asyncio +async def test_shell_command_invalid_args_schema(shell_tool_executor): + """不正な引数スキーマでの呼び出しテスト""" + logger.info("テストケース: 引数不正 (スキーマ違反)") + args = {"cmd_instead_of_command": "echo 'invalid arg name'"} # "command" が必須 + result = await shell_tool_executor(args) + assert "引数エラー:" in result + assert "Field required" in result # Pydantic v2 のエラーメッセージ + + +@pytest.mark.asyncio +async def test_shell_command_empty_command(shell_tool_executor): + """空のコマンド文字列のテスト""" + logger.info("テストケース: 空のコマンド") + args = {"command": ""} # 空のコマンド + result = await shell_tool_executor(args) + # シェルやOSによって挙動が異なる可能性がある + # ここでは何らかのエラーメッセージか、特定のReturn codeを期待 + assert "引数エラー:" in result or "Return code:" in result or "Stderr:" in result + if "引数エラー:" not in result: # Pydanticで空文字列を許可している場合 + assert "Return code: 0" not in result # 成功しないことを期待 + + +@pytest.mark.asyncio +async def test_shell_command_default_timeout(shell_tool_executor): + """デフォルトタイムアウトを使用するコマンドのテスト""" + logger.info("テストケース: デフォルトタイムアウト") + args = {"command": "echo 'Testing default timeout'"} # timeout を指定しない + # ShellCommandArgs のデフォルトタイムアウトは60秒なので、echo は余裕で成功するはず + result = await shell_tool_executor(args) + assert "Testing default timeout" in result + assert ( + "Return code: 0" in result + or "コマンドは出力を生成しませんでした。" not in result + ) diff --git a/uv.lock b/uv.lock new file mode 100644 index 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