diff --git a/codegen-examples/examples/codegen_app/README.md b/codegen-examples/examples/codegen_app/README.md deleted file mode 100644 index fda3c73d4..000000000 --- a/codegen-examples/examples/codegen_app/README.md +++ /dev/null @@ -1,33 +0,0 @@ -# Codegen App - -Simple example of running a codegen app. - -## Run Locally - -Spin up the server: - -``` -codegen serve -``` - -Spin up ngrok - -``` -ngrok http 8000 -``` - -Go to Slack [app settings](https://api.slack.com/apps/A08CR9HUJ3W/event-subscriptions) and set the URL for event subscriptions - -``` -{ngrok_url}/slack/events -``` - -## Deploy to Modal - -This will deploy it as a function - -``` -modal deploy app.py -``` - -Then you can swap in the modal URL for slack etc. diff --git a/codegen-examples/examples/codegen_app/app.py b/codegen-examples/examples/codegen_app/app.py deleted file mode 100644 index 82e5bdd54..000000000 --- a/codegen-examples/examples/codegen_app/app.py +++ /dev/null @@ -1,101 +0,0 @@ -import logging - -import modal -from codegen import CodeAgent, CodegenApp -from codegen.extensions.github.types.events.pull_request import PullRequestLabeledEvent -from codegen.extensions.linear.types import LinearEvent -from codegen.extensions.slack.types import SlackEvent -from codegen.extensions.tools.github.create_pr_comment import create_pr_comment - -# Set up logging -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - -######################################################################################################################## -# EVENTS -######################################################################################################################## - -# Create the cg_app -cg = CodegenApp(name="codegen-test", repo="codegen-sh/Kevin-s-Adventure-Game") - - -@cg.slack.event("app_mention") -async def handle_mention(event: SlackEvent): - logger.info("[APP_MENTION] Received cg_app_mention event") - logger.info(event) - - # Codebase - logger.info("[CODEBASE] Initializing codebase") - codebase = cg.get_codebase() - - # Code Agent - logger.info("[CODE_AGENT] Initializing code agent") - agent = CodeAgent(codebase=codebase) - - logger.info("[CODE_AGENT] Running code agent") - response = agent.run(event.text) - - cg.slack.client.chat_postMessage(channel=event.channel, text=response, thread_ts=event.ts) - return {"message": "Mentioned", "received_text": event.text, "response": response} - - -@cg.github.event("pull_request:labeled") -def handle_pr(event: PullRequestLabeledEvent): - logger.info("PR labeled") - logger.info(f"PR head sha: {event.pull_request.head.sha}") - codebase = cg.get_codebase() - - # =====[ Check out commit ]===== - # Might require fetch? - logger.info("> Checking out commit") - codebase.checkout(commit=event.pull_request.head.sha) - - logger.info("> Getting files") - file = codebase.get_file("README.md") - - # =====[ Create PR comment ]===== - create_pr_comment(codebase, event.pull_request.number, f"File content:\n```python\n{file.content}\n```") - - return {"message": "PR event handled", "num_files": len(codebase.files), "num_functions": len(codebase.functions)} - - -@cg.linear.event("Issue") -def handle_issue(event: LinearEvent): - logger.info(f"Issue created: {event}") - codebase = cg.get_codebase() - return {"message": "Linear Issue event", "num_files": len(codebase.files), "num_functions": len(codebase.functions)} - - -######################################################################################################################## -# MODAL DEPLOYMENT -######################################################################################################################## -# This deploys the FastAPI app to Modal -# TODO: link this up with memory snapshotting. - -# For deploying local package -REPO_URL = "https://github.com/codegen-sh/codegen-sdk.git" -COMMIT_ID = "6a0e101718c247c01399c60b7abf301278a41786" - -# Create the base image with dependencies -base_image = ( - modal.Image.debian_slim(python_version="3.13") - .apt_install("git") - .pip_install( - # =====[ Codegen ]===== - # "codegen", - f"git+{REPO_URL}@{COMMIT_ID}", - # =====[ Rest ]===== - "openai>=1.1.0", - "fastapi[standard]", - "slack_sdk", - ) -) - -app = modal.App("codegen-test") - - -@app.function(image=base_image, secrets=[modal.Secret.from_dotenv()]) -@modal.asgi_app() -def fastapi_app(): - print("Starting codegen fastapi app") - return cg.app diff --git a/codegen-examples/examples/codegen_app/codegen_app_app.py b/codegen-examples/examples/codegen_app/codegen_app_app.py deleted file mode 100644 index 46d6706e5..000000000 --- a/codegen-examples/examples/codegen_app/codegen_app_app.py +++ /dev/null @@ -1,3 +0,0 @@ -from app import app - -app = app diff --git a/codegen-examples/examples/deep_code_research/README.md b/codegen-examples/examples/deep_code_research/README.md deleted file mode 100644 index 140f37806..000000000 --- a/codegen-examples/examples/deep_code_research/README.md +++ /dev/null @@ -1,67 +0,0 @@ -# Deep Code Research Example - -This example demonstrates how to use Codegen to build a CLI tool for deep code research. The tool allows you to: - -- Clone and analyze any GitHub repository -- Ask questions about the codebase -- Explore dependencies and relationships -- Search for patterns and implementations - -## Setup - -1. Install the requirements: - -```bash -uv venv -source .venv/bin/activate -uv sync -``` - -2. Set up your OpenAI API key in a `.env`: - -```bash -OPENAI_API_KEY=your-api-key -``` - -## Usage - -Run the CLI tool by providing a GitHub repository: - -```bash -python run.py research "owner/repo" -``` - -For example: - -```bash -python run.py research "fastapi/fastapi" -``` - -You can also provide an initial query: - -```bash -python run.py research "fastapi/fastapi" -q "Explain the main components" -``` - -## Example Queries - -- "Explain the main components and their relationships" -- "Find all usages of the FastAPI class" -- "Show me the dependency graph for the routing module" -- "What design patterns are used in this codebase?" -- "How is dependency injection implemented?" - -## Features - -The research agent has access to several powerful tools: - -- Semantic code search -- Symbol relationship analysis -- Directory structure exploration -- Code viewing and analysis - -The agent maintains conversation history, so you can ask follow-up questions and build on previous findings. - -## Exit - -Type "exit" or "quit" to end the research session. diff --git a/codegen-examples/examples/deep_code_research/requirements.txt b/codegen-examples/examples/deep_code_research/requirements.txt deleted file mode 100644 index 87a0b8786..000000000 --- a/codegen-examples/examples/deep_code_research/requirements.txt +++ /dev/null @@ -1,7 +0,0 @@ -click>=8.0.0 -rich>=10.0.0 -rich-click>=1.7.0 -langchain-core>=0.1.0 -langchain-openai>=0.0.5 -langchain>=0.1.0 -codegen-sdk>=0.1.0 diff --git a/codegen-examples/examples/deep_code_research/run.py b/codegen-examples/examples/deep_code_research/run.py deleted file mode 100644 index 314d4f0cf..000000000 --- a/codegen-examples/examples/deep_code_research/run.py +++ /dev/null @@ -1,152 +0,0 @@ -"""CLI program for deep code research using Codegen.""" - -import sys -import warnings -from pathlib import Path -from typing import Optional - -import rich_click as click -from codegen import Codebase -from codegen.extensions.langchain.agent import create_agent_with_tools -from codegen.extensions.langchain.tools import ( - ListDirectoryTool, - RevealSymbolTool, - RipGrepTool, - SemanticSearchTool, - ViewFileTool, -) -from langchain_core.messages import SystemMessage -from rich.console import Console -from rich.markdown import Markdown -from rich.prompt import Prompt - -# Suppress LangSmith warning -warnings.filterwarnings("ignore", message="API key must be provided when using hosted LangSmith API") - -# Add the project root to Python path -project_root = str(Path(__file__).parent.parent.parent) -sys.path.append(project_root) - -# Configure rich-click -click.rich_click.USE_RICH_MARKUP = True -click.rich_click.USE_MARKDOWN = True -click.rich_click.SHOW_ARGUMENTS = True -click.rich_click.GROUP_ARGUMENTS_OPTIONS = True -click.rich_click.STYLE_ERRORS_SUGGESTION = "yellow italic" -click.rich_click.ERRORS_SUGGESTION = "Try running the command with --help for more information" - -console = Console() - -RESEARCH_AGENT_PROMPT = """You are a code research expert. Your goal is to help users understand codebases by: -1. Finding relevant code through semantic and text search -2. Analyzing symbol relationships and dependencies -3. Exploring directory structures -4. Reading and explaining code - -Always explain your findings in detail and provide context about how different parts of the code relate to each other. -When analyzing code, consider: -- The purpose and functionality of each component -- How different parts interact -- Key patterns and design decisions -- Potential areas for improvement - -Break down complex concepts into understandable pieces and use examples when helpful.""" - - -def initialize_codebase(repo_name: str) -> Optional[Codebase]: - """Initialize a codebase with a spinner showing progress.""" - with console.status("") as status: - try: - # Update status with specific steps - status.update(f"[bold blue]Cloning {repo_name}...[/bold blue]") - codebase = Codebase.from_repo(repo_name) - status.update("[bold green]βœ“ Repository cloned successfully![/bold green]") - return codebase - except Exception as e: - console.print(f"[bold red]Error initializing codebase:[/bold red] {e}") - return None - - -@click.group() -def cli(): - """[bold blue]πŸ” Codegen Code Research CLI[/bold blue] - - A powerful tool for deep code analysis and research. - """ - pass - - -@cli.command() -@click.argument("repo_name", required=False) -@click.option("--query", "-q", default=None, help="Initial research query to start with.") -def research(repo_name: Optional[str] = None, query: Optional[str] = None, thread_id: Optional[int] = 100): - """[bold green]Start a code research session[/bold green] - - [blue]Arguments:[/blue] - [yellow]REPO_NAME[/yellow]: GitHub repository in format 'owner/repo' (optional, will prompt if not provided) - """ - # If no repo name provided, prompt for it - if not repo_name: - console.print("\n[bold]Welcome to the Code Research CLI![/bold]") - console.print("\nEnter a GitHub repository to analyze (format: owner/repo)\nExamples:\n β€’ fastapi/fastapi\n β€’ pytorch/pytorch\n β€’ microsoft/TypeScript") - repo_name = Prompt.ask("\n[bold cyan]Repository name[/bold cyan]") - - # Initialize codebase - codebase = initialize_codebase(repo_name) - if not codebase: - return - - # Create research tools - tools = [ - ViewFileTool(codebase), - ListDirectoryTool(codebase), - RipGrepTool(codebase), - SemanticSearchTool(codebase), - RevealSymbolTool(codebase), - ] - - # Initialize agent with research tools - with console.status("[bold blue]Initializing research agent...[/bold blue]") as status: - agent = create_agent_with_tools(codebase=codebase, tools=tools, system_message=SystemMessage(content=RESEARCH_AGENT_PROMPT)) - status.update("[bold green]βœ“ Research agent ready![/bold green]") - - # Get initial query if not provided - if not query: - console.print( - "\n[bold]What would you like to research?[/bold]" - "\n[dim]Example queries:[/dim]" - "\nβ€’ [italic]Explain the main components and their relationships[/italic]" - "\nβ€’ [italic]Find all usages of X function/class[/italic]" - "\nβ€’ [italic]Show me the dependency graph for Y module[/italic]" - "\nβ€’ [italic]What design patterns are used in this codebase?[/italic]" - ) - query = Prompt.ask("\n[bold cyan]Research query[/bold cyan]") - - # Main research loop - while True: - if not query: - query = Prompt.ask("\n[bold cyan]Research query[/bold cyan]") - - if query.lower() in ["exit", "quit"]: - console.print("\n[bold green]Thanks for using the Code Research CLI! Goodbye![/bold green]") - break - - # Run the agent - with console.status("[bold blue]Researching...[/bold blue]", spinner="dots") as status: - try: - result = agent.invoke( - {"input": query}, - config={"configurable": {"thread_id": thread_id}}, - ) - # Display the result - console.print("\n[bold blue]πŸ“Š Research Findings:[/bold blue]") - console.print(Markdown(result["messages"][-1].content)) - except Exception as e: - console.print(f"\n[bold red]Error during research:[/bold red] {e}") - - # Clear query for next iteration - query = None - - -if __name__ == "__main__": - cli() diff --git a/codegen-examples/examples/langchain_agent/README.md b/codegen-examples/examples/langchain_agent/README.md deleted file mode 100644 index 4744cdec3..000000000 --- a/codegen-examples/examples/langchain_agent/README.md +++ /dev/null @@ -1,87 +0,0 @@ -# Codegen LangChain Agent Example - -

- - - -

- -

- Build an intelligent code agent with LangChain and Codegen -

- -
- -[![Documentation](https://img.shields.io/badge/Docs-docs.codegen.com-purple?style=flat-square)](https://docs.codegen.com/tutorials/build-code-agent) -[![License](https://img.shields.io/badge/Code%20License-Apache%202.0-gray?&color=gray)](https://github.com/codegen-sh/codegen-sdk/tree/develop?tab=Apache-2.0-1-ov-file) - -
- -This example demonstrates how to build an intelligent code agent using Codegen's LangChain integration. The agent can analyze and manipulate codebases using natural language commands. - -## Quick Start - -```python -from codegen import Codebase -from codegen.extensions.langchain import create_codebase_agent - -# Initialize codebase -codebase = Codebase.from_repo("fastapi/fastapi") - -# Create the agent -agent = create_codebase_agent( - codebase=codebase, - model_provider="anthropic", # or "openai" - model_name="claude-3-5-sonnet-latest", # or "gpt-4" for OpenAI - debug=True, -) - -# Ask the agent to analyze code -result = agent.invoke({"input": "What are the dependencies of the FastAPI class?", "config": {"configurable": {"thread_id": "1"}}}) -print(result["messages"][-1].content) -``` - -## Installation - -```bash -# Install dependencies -pip install modal-client codegen langchain langchain-openai - -# Run the example -python run.py -``` - -## Available Tools - -The agent comes with several built-in tools for code operations: - -- `ViewFileTool`: View file contents and metadata -- `ListDirectoryTool`: List directory contents -- `RipGrepTool`: Search code using ripgrep -- `EditFileTool`: Edit file contents -- `CreateFileTool`: Create new files -- `DeleteFileTool`: Delete files -- `RenameFileTool`: Rename files and update imports -- `MoveSymbolTool`: Move functions/classes between files -- `RevealSymbolTool`: Analyze symbol dependencies -- `SemanticEditTool`: Make semantic code edits -- `CommitTool`: Commit changes to disk - -## Example Operations - -The agent can perform various code analysis and manipulation tasks: - -```python -# Analyze dependencies -agent.invoke({"input": "What are the dependencies of the reveal_symbol function?", "config": {"configurable": {"thread_id": "1"}}}) - -# Find usage patterns -agent.invoke({"input": "Show me examples of dependency injection in the codebase", "config": {"configurable": {"thread_id": "1"}}}) - -# Move code -agent.invoke({"input": "Move the validate_email function to validation_utils.py", "config": {"configurable": {"thread_id": "1"}}}) -``` - -## Learn More - -- [Full Tutorial](https://docs.codegen.com/tutorials/build-code-agent) diff --git a/codegen-examples/examples/langchain_agent/run.py b/codegen-examples/examples/langchain_agent/run.py deleted file mode 100644 index 30de9ed49..000000000 --- a/codegen-examples/examples/langchain_agent/run.py +++ /dev/null @@ -1,88 +0,0 @@ -"""Demo implementation of an agent with Codegen tools.""" - -from codegen import Codebase -from codegen.extensions.langchain.graph import create_react_agent -from codegen.extensions.langchain.llm import LLM -from codegen.extensions.langchain.prompts import REASONER_SYSTEM_MESSAGE -from codegen.extensions.langchain.tools import ( - CommitTool, - CreateFileTool, - DeleteFileTool, - EditFileTool, - ListDirectoryTool, - MoveSymbolTool, - RenameFileTool, - RevealSymbolTool, - RipGrepTool, - SemanticEditTool, - ViewFileTool, -) -from langchain_core.messages import SystemMessage -from langgraph.checkpoint.memory import MemorySaver -from langgraph.graph.graph import CompiledGraph - - -def create_codebase_agent( - codebase: "Codebase", - model_provider: str = "anthropic", - model_name: str = "claude-3-5-sonnet-latest", - system_message: SystemMessage = SystemMessage(REASONER_SYSTEM_MESSAGE), - memory: bool = True, - debug: bool = True, - **kwargs, -) -> CompiledGraph: - """Create an agent with all codebase tools. - - Args: - codebase: The codebase to operate on - model_provider: The model provider to use ("anthropic" or "openai") - model_name: Name of the model to use - verbose: Whether to print agent's thought process (default: True) - chat_history: Optional list of messages to initialize chat history with - **kwargs: Additional LLM configuration options. Supported options: - - temperature: Temperature parameter (0-1) - - top_p: Top-p sampling parameter (0-1) - - top_k: Top-k sampling parameter (>= 1) - - max_tokens: Maximum number of tokens to generate - - Returns: - Initialized agent with message history - """ - llm = LLM(model_provider=model_provider, model_name=model_name, **kwargs) - - # Get all codebase tools - # Get all codebase tools - tools = [ - ViewFileTool(codebase), - ListDirectoryTool(codebase), - RipGrepTool(codebase), - EditFileTool(codebase), - CreateFileTool(codebase), - DeleteFileTool(codebase), - RenameFileTool(codebase), - MoveSymbolTool(codebase), - RevealSymbolTool(codebase), - SemanticEditTool(codebase), - CommitTool(codebase), - ] - - memory = MemorySaver() if memory else None - - return create_react_agent(model=llm, tools=tools, system_message=system_message, checkpointer=memory, debug=debug) - - -if __name__ == "__main__": - # Initialize codebase - print("Initializing codebase...") - codebase = Codebase.from_repo("fastapi/fastapi", language="python") - - # Create agent with history - print("Creating agent...") - agent = create_codebase_agent(codebase) - - print("\nAsking agent to analyze symbol relationships...") - result = agent.invoke( - {"input": "What are the dependencies of the reveal_symbol function?"}, - config={"configurable": {"thread_id": 1}}, - ) - print("Messages:", result["messages"]) diff --git a/codegen-examples/examples/pr_review_bot/.env.template b/codegen-examples/examples/pr_review_bot/.env.template deleted file mode 100644 index 94c7ff27b..000000000 --- a/codegen-examples/examples/pr_review_bot/.env.template +++ /dev/null @@ -1,11 +0,0 @@ -GITHUB_TOKEN="..." -# ====[ MODEL PROVIDERS ]=== - -ANTHROPIC_API_KEY="..." -OPENAI_API_KEY="..." -GOOGLE_API_KEY="..." -GEMINI_API_KEY="..." - -# ====[ SLACK ]=== -SLACK_SIGNING_SECRET="..." -SLACK_BOT_TOKEN="..." diff --git a/codegen-examples/examples/pr_review_bot/README.md b/codegen-examples/examples/pr_review_bot/README.md deleted file mode 100644 index be4d7e671..000000000 --- a/codegen-examples/examples/pr_review_bot/README.md +++ /dev/null @@ -1,43 +0,0 @@ -# AI-Powered Pull Request Review Bot - -This example project demonstrates how to deploy an agentic bot that automatically reviews GitHub Pull Requests. The bot analyzes code changes and their dependencies to provide comprehensive code reviews using AI, considering both direct modifications and their impact on the codebase. - -## Prerequisites - -Before running this application, you'll need the following API tokens and credentials: - -- GitHub API Token -- Anthropic API Token -- GitHub Repository Access - -## Setup - -1. Clone the repository -1. Set up your environment variables in a `.env` file: - -```env -GITHUB_TOKEN=your_github_token -ANTHROPIC_API_KEY=your_anthropic_token -GITHUB_REPO_OWNER=your_repo_owner -GITHUB_REPO_NAME=your_repo_name -GITHUB_PR_NUMBER=your_pr_number -``` - -## Features - -- Automated PR code review using AI -- Deep dependency analysis of code changes -- Context-aware feedback generation -- Structured review format with actionable insights -- Integration with GitHub PR system - -## Usage - -1. `uv sync` -1. `uv run modal deploy app.py` - - This will deploy a modal app that can be triggered to review PRs -1. Create or update a PR to trigger the review bot - -## Contributing - -Contributions are welcome! Please feel free to submit a Pull Request. diff --git a/codegen-examples/examples/pr_review_bot/app.py b/codegen-examples/examples/pr_review_bot/app.py deleted file mode 100644 index 35102af2f..000000000 --- a/codegen-examples/examples/pr_review_bot/app.py +++ /dev/null @@ -1,66 +0,0 @@ -import logging -from logging import getLogger -import modal -from codegen.extensions.events.app import CodegenApp -from fastapi import Request -from codegen.extensions.github.types.events.pull_request import PullRequestLabeledEvent, PullRequestUnlabeledEvent -from helpers import remove_bot_comments, pr_review_agent - -logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s") -logger = getLogger(__name__) - -REPO_URL = "https://github.com/codegen-sh/codegen-sdk.git" -COMMIT_ID = "20ba52b263ba8bab552b5fb6f68ca3667c0309fb" - -base_image = ( - modal.Image.debian_slim(python_version="3.12") - .apt_install("git") - .pip_install( - # =====[ Codegen ]===== - # "codegen>=0.18", - f"git+{REPO_URL}@{COMMIT_ID}", - # =====[ Rest ]===== - "openai>=1.1.0", - "fastapi[standard]", - "slack_sdk", - ) -) - -app = CodegenApp(name="github", image=base_image, modal_api_key="") - - -@app.github.event("pull_request:labeled") -def handle_labeled(event: PullRequestLabeledEvent): - logger.info("[PULL_REQUEST:LABELED] Received pull request labeled event") - logger.info(f"PR #{event.number} labeled with: {event.label.name}") - logger.info(f"PR title: {event.pull_request.title}") - # app.slack.client.chat_postMessage( - # channel="C08DPPSL1CG", - # text=f"PR #{event.number} labeled with: {event.label.name}", - # ) - if event.label.name == "Codegen": - app.slack.client.chat_postMessage( - channel="C08DPPSL1CG", - text=f"PR #{event.number} labeled with: {event.label.name}, waking up CodegenBot and starting review", - ) - - logger.info(f"PR ID: {event.pull_request.id}") - logger.info(f"PR title: {event.pull_request.title}") - logger.info(f"pr number: {event.number}, ") - pr_review_agent(event) - - -@app.github.event("pull_request:unlabeled") -def handle_unlabeled(event: PullRequestUnlabeledEvent): - logger.info("unlabeled") - logger.info(event.action) - logger.info(event.label.name) - if event.label.name == "Codegen": - remove_bot_comments(event) - - -@app.function(secrets=[modal.Secret.from_dotenv()]) -@modal.web_endpoint(method="POST") -def entrypoint(event: dict, request: Request): - logger.info("[OUTER] Received GitHub webhook") - return app.github.handle(event, request) diff --git a/codegen-examples/examples/pr_review_bot/helpers.py b/codegen-examples/examples/pr_review_bot/helpers.py deleted file mode 100644 index 9d94f3b37..000000000 --- a/codegen-examples/examples/pr_review_bot/helpers.py +++ /dev/null @@ -1,90 +0,0 @@ -from github import Github -from codegen.extensions.github.types.events.pull_request import PullRequestUnlabeledEvent -from logging import getLogger - -import os - -from codegen import Codebase - -from codegen.extensions.github.types.events.pull_request import PullRequestLabeledEvent -from codegen.configs.models.secrets import SecretsConfig -from codegen import CodeAgent - -from codegen.extensions.langchain.tools import ( - # Github - GithubViewPRTool, - GithubCreatePRCommentTool, - GithubCreatePRReviewCommentTool, -) - -from dotenv import load_dotenv -import logging - -load_dotenv() - -logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s") -logger = getLogger(__name__) - - -def remove_bot_comments(event: PullRequestUnlabeledEvent): - g = Github(os.getenv("GITHUB_API_KEY")) - logger.info(f"{event.organization.login}/{event.repository.name}") - repo = g.get_repo(f"{event.organization.login}/{event.repository.name}") - - pr = repo.get_pull(int(event.number)) - comments = pr.get_comments() - if comments: - for comment in comments: - logger.info("removing comment") - logger.info(comment.user.login) - if comment.user.login == "codegen-team": - comment.delete() - reviews = pr.get_reviews() - - if reviews: - for review in reviews: - logger.info("removing review") - logger.info(review.user.login) - if review.user.login == "codegen-team": - review.delete() - - issue_comments = pr.get_issue_comments() - if issue_comments: - for comment in issue_comments: - logger.info("removing comment") - logger.info(comment.user.login) - if comment.user.login == "codegen-team": - comment.delete() - - -def pr_review_agent(event: PullRequestLabeledEvent) -> None: - # Pull a subset of SWE bench - repo_str = f"{event.organization.login}/{event.repository.name}" - codebase = Codebase.from_repo(repo_str, language="python", secrets=SecretsConfig(github_token=os.environ["GITHUB_TOKEN"])) - review_atention_message = "CodegenBot is starting to review the PR please wait..." - comment = codebase._op.create_pr_comment(event.number, review_atention_message) - # Define tools first - pr_tools = [ - GithubViewPRTool(codebase), - GithubCreatePRCommentTool(codebase), - GithubCreatePRReviewCommentTool(codebase), - ] - - # Create agent with the defined tools - agent = CodeAgent(codebase=codebase, tools=pr_tools) - - # Using a prompt from SWE Bench - prompt = f""" -Hey CodegenBot! - -Here's a SWE task for you. Please Review this pull request! -{event.pull_request.url} -Do not terminate until have reviewed the pull request and are satisfied with your review. - -Review this Pull request like the seΓ±or ingenier you are -be explicit about the changes, produce a short summary, and point out possible improvements where pressent dont be self congratulatory stick to the facts -use the tools at your disposal to create propper pr reviews include code snippets if needed, and suggest improvements if feel its necesary -""" - # Run the agent - agent.run(prompt) - comment.delete() diff --git a/codegen-examples/examples/pr_review_bot/pyproject.toml b/codegen-examples/examples/pr_review_bot/pyproject.toml deleted file mode 100644 index 3c7519e5e..000000000 --- a/codegen-examples/examples/pr_review_bot/pyproject.toml +++ /dev/null @@ -1,12 +0,0 @@ -[project] -name = "ticket-to-pr" -version = "0.1.0" -description = "A example implementation of a agentic linear bot that can create PRs from linear tickets" -readme = "README.md" -requires-python = ">=3.12, <3.14" -dependencies = [ - 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-This project is designed to using Modal snapshotting to provide parsed codebase instances with minimal latency, make it more manageable to write event based handlers. - -Follow the instructions below to set up and deploy the application. - -## Prerequisites - -Before you begin, ensure you have the following installed and configured: - -1. **uv**: A tool for managing virtual environments and syncing dependencies. -2. **Modal**: Ensure you have Modal configured on your system. - -## Setup Instructions - -1. **Create a Virtual Environment** - - Use `uv` to create a virtual environment with Python 3.13: - - ```bash - uv venv --python 3.13 - - source ./venv/bin/activate - ``` - -2. **Sync Dependencies** - - Sync the project dependencies using `uv`: - - ```bash - uv sync - ``` - -3. **Deploy to Modal** - - Deploy the application to Modal by running: - - ```bash - uv run modal deploy event_handlers.py - ``` - - This command will deploy the Modal app and provide a web URL for your webhook sync. - -## Project Structure - -- `event_handlers.py`: Contains the main logic for handling events. -- `pr_tasks.py`: Additional tasks related to pull requests. -- `.env.template` and `.env`: Environment variable templates and configurations. -- `pyproject.toml`: Project configuration and dependencies. - - -## Integration - -Once deployed, you can use the deployed web_url as the webhook endpoint for your slack, linear, or github webhooks. \ No newline at end of file diff --git a/codegen-examples/examples/snapshot_event_handler/event_handlers.py b/codegen-examples/examples/snapshot_event_handler/event_handlers.py deleted file mode 100644 index 534dff186..000000000 --- a/codegen-examples/examples/snapshot_event_handler/event_handlers.py +++ /dev/null @@ -1,127 +0,0 @@ -from codegen.agents.code_agent import CodeAgent -from codegen.extensions.events.codegen_app import CodegenApp -from codegen.extensions.linear.types import LinearEvent -from codegen.extensions.slack.types import SlackEvent -from codegen.extensions.events.modal.base import CodebaseEventsApp, EventRouterMixin -from codegen.extensions.github.types.pull_request import PullRequestLabeledEvent -from pr_tasks import lint_for_dev_import_violations -from typing import Literal -from dotenv import load_dotenv -from fastapi import FastAPI, Request -from classy_fastapi import Routable, post -import modal -import logging - -load_dotenv(".env") - - -logging.basicConfig(level=logging.INFO, force=True) -logger = logging.getLogger(__name__) - -codegen_events_app = modal.App("codegen-events-router") - -SNAPSHOT_DICT_ID = "codegen-events-codebase-snapshots" - -# Create the base image with dependencies -base_image = ( - modal.Image.debian_slim(python_version="3.13") - .apt_install("git") - .pip_install( - # =====[ Codegen ]===== - "codegen==0.42.1", - # =====[ Rest ]===== - "openai>=1.1.0", - "fastapi[standard]", - "slack_sdk", - "classy-fastapi>=0.6.1", - ) -) - - -event_handlers_app = modal.App("codegen-event-handlers") - - -@event_handlers_app.cls(image=base_image, secrets=[modal.Secret.from_dotenv(".env")], enable_memory_snapshot=True, container_idle_timeout=300) -class CustomEventHandlersAPI(CodebaseEventsApp): - commit: str = modal.parameter(default="79114f67ccfe8700416cd541d1c7c43659a95342") - repo_org: str = modal.parameter(default="codegen-sh") - repo_name: str = modal.parameter(default="Kevin-s-Adventure-Game") - snapshot_index_id: str = SNAPSHOT_DICT_ID - - def setup_handlers(self, cg: CodegenApp): - @cg.slack.event("app_mention") - async def handle_mention(event: SlackEvent): - logger.info("[APP_MENTION] Received cg_app_mention event") - - # Codebase - logger.info("[CODEBASE] Initializing codebase") - codebase = cg.get_codebase() - - # Code Agent - logger.info("[CODE_AGENT] Initializing code agent") - agent = CodeAgent(codebase=codebase) - - logger.info("[CODE_AGENT] Running code agent") - response = agent.run(event.text) - - cg.slack.client.chat_postMessage(channel=event.channel, text=response, thread_ts=event.ts) - - return {"message": "Mentioned", "received_text": event.text, "response": response} - - @cg.github.event("pull_request:labeled") - def handle_pr(event: PullRequestLabeledEvent): - logger.info("PR labeled") - logger.info(f"PR head sha: {event.pull_request.head.sha}") - - codebase = cg.get_codebase() - logger.info(f"Codebase: {codebase.name} codebase.repo: {codebase.repo_path}") - - # =====[ Check out commit ]===== - # Might require fetch? - logger.info("> Checking out commit") - codebase.checkout(commit=event.pull_request.head.sha) - - logger.info("> Running PR Lints") - # LINT CODEMOD - lint_for_dev_import_violations(codebase, event) - - return {"message": "PR event handled", "num_files": len(codebase.files), "num_functions": len(codebase.functions)} - - @cg.linear.event("Issue") - def handle_issue(event: LinearEvent): - logger.info(f"Issue created: {event}") - codebase = cg.get_codebase() - return {"message": "Linear Issue event", "num_files": len(codebase.files), "num_functions": len(codebase.functions)} - - -@codegen_events_app.cls(image=base_image, secrets=[modal.Secret.from_dotenv(".env")]) -class WebhookEventRouterAPI(EventRouterMixin, Routable): - snapshot_index_id: str = SNAPSHOT_DICT_ID - - def get_event_handler_cls(self): - modal_cls = modal.Cls.from_name(app_name="Events", name="CustomEventHandlersAPI") - return modal_cls - - @post("/{org}/{repo}/{provider}/events") - async def handle_event(self, org: str, repo: str, provider: Literal["slack", "github", "linear"], request: Request): - # Define the route for the webhook url sink, it will need to indicate the repo repo org, and the provider - return await super().handle_event(org, repo, provider, request) - - @modal.asgi_app() - def api(self): - """Run the FastAPI app with the Router.""" - event_api = FastAPI() - route_view = WebhookEventRouterAPI() - event_api.include_router(route_view.router) - return event_api - - -# Setup a cron job to trigger updates to the codebase snapshots. -@codegen_events_app.function(schedule=modal.Cron("*/10 * * * *"), image=base_image, secrets=[modal.Secret.from_dotenv(".env")]) -def refresh_repository_snapshots(): - WebhookEventRouterAPI().refresh_repository_snapshots(snapshot_index_id=SNAPSHOT_DICT_ID) - - -app = modal.App("Events", secrets=[modal.Secret.from_dotenv(".env")]) -app.include(event_handlers_app) -app.include(codegen_events_app) diff --git a/codegen-examples/examples/snapshot_event_handler/pr_tasks.py b/codegen-examples/examples/snapshot_event_handler/pr_tasks.py deleted file mode 100644 index 0a412ec30..000000000 --- a/codegen-examples/examples/snapshot_event_handler/pr_tasks.py +++ /dev/null @@ -1,105 +0,0 @@ -import logging -from codegen.extensions.github.types.pull_request import PullRequestLabeledEvent - -from codegen.sdk.core.codebase import Codebase - -logging.basicConfig(level=logging.INFO, force=True) -logger = logging.getLogger(__name__) - - -def lint_for_dev_import_violations(codebase: Codebase, event: PullRequestLabeledEvent): - # Next.js codemod to detect imports of the react-dev-overlay module in production code - - patch, commit_shas, modified_symbols = codebase.get_modified_symbols_in_pr(event.pull_request.number) - modified_files = set(commit_shas.keys()) - from codegen.sdk.core.statements.if_block_statement import IfBlockStatement - - DIR_NAME = "packages/next/src/client/components/react-dev-overlay" - directory = codebase.get_directory(DIR_NAME) - - violations = [] - - false_operators = ["!=", "!=="] - true_operators = ["===", "=="] - - def is_valid_block_expression(if_block: IfBlockStatement) -> bool: - """Check if the if block has a valid environment check condition. - - Valid conditions are: - - process.env.NODE_ENV !== 'production' - - process.env.NODE_ENV != 'production' - - process.env.NODE_ENV === 'development' - - process.env.NODE_ENV == 'development' - """ - if not if_block.is_if_statement: - return False - - condition = if_block.condition - # Get the operator without any whitespace - operator = condition.operator[-1].source - - # Check for non-production conditions - if operator in false_operators and condition.source == f"process.env.NODE_ENV {operator} 'production'": - return True - - # Check for explicit development conditions - if operator in true_operators and condition.source == f"process.env.NODE_ENV {operator} 'development'": - return True - - return False - - def process_else_block_expression(else_block: IfBlockStatement) -> bool: - """Check if the else block is valid by checking its parent if block. - - Valid when the parent if block checks for production environment: - - if (process.env.NODE_ENV === 'production') { ... } else { } - - if (process.env.NODE_ENV == 'production') { ... } else { } - """ - if not else_block.is_else_statement: - return False - - main_if = else_block._main_if_block - if not main_if or not main_if.condition: - return False - - condition = main_if.condition - operator = condition.operator[-1].source - - # Valid if the main if block checks for production - return operator in true_operators and condition.source == f"process.env.NODE_ENV {operator} 'production'" - - for file in directory.files(recursive=True): - for imp in file.inbound_imports: - if imp.file.filepath not in modified_files: - # skip if the import is not in the pull request's modified files - continue - # Skip if the import is from within the target directory - if directory.dirpath in imp.file.filepath: - # "βœ… Valid import" if the import is within the target directory - continue - - parent_if_block = imp.parent_of_type(IfBlockStatement) - - # Check if import is in a valid environment check block - if_block_valid = parent_if_block and is_valid_block_expression(parent_if_block) - else_block_valid = parent_if_block and process_else_block_expression(parent_if_block) - - # Skip if the import is properly guarded by environment checks - if if_block_valid or else_block_valid: - # "βœ… Valid import" these are guarded by non prod checks - continue - - # Report invalid imports that aren't properly guarded - violation = f"- Violation in `{file.filepath}`: Importing from `{imp.file.filepath}` ([link]({imp.github_url}))" - violations.append(violation) - logger.info(f"Found violation: {violation}") - - if violations: - # Comment on PR with violations - review_attention_message = "## Dev Import Violations Found\n\n" - review_attention_message += "The following files have imports that violate development overlay rules:\n\n" - review_attention_message += "\n".join(violations) - review_attention_message += "\n\nPlease ensure that development imports are not imported in production code." - - # Create PR comment with the formatted message - codebase._op.create_pr_comment(event.pull_request.number, review_attention_message) diff --git a/codegen-examples/examples/snapshot_event_handler/pyproject.toml b/codegen-examples/examples/snapshot_event_handler/pyproject.toml deleted file mode 100644 index b45e97318..000000000 --- a/codegen-examples/examples/snapshot_event_handler/pyproject.toml +++ /dev/null @@ -1,32 +0,0 @@ -[project] -name = "codegen-examples" -version = "0.0.0" -readme = "README.md" -requires-python = ">=3.12, <3.14" -dependencies = [ - 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"agent = CodeAgent(codebase=codebase, tags=[\"local_test\"], model_name=\"claude-3-5-sonnet-latest\", model_provider=\"anthropic\")" + "# agent = CodeAgent(codebase=codebase, tags=[\"local_test\"], model_name=\"claude-3-5-sonnet-latest\", model_provider=\"anthropic\")" ] }, { @@ -85,7 +85,7 @@ "metadata": {}, "outputs": [], "source": [ - "agent.run(prompt)" + "# agent.run(prompt)" ] }, { diff --git a/codegen-examples/examples/ticket-to-pr/.env.template b/codegen-examples/examples/ticket-to-pr/.env.template deleted file mode 100644 index 3fdceb2b1..000000000 --- a/codegen-examples/examples/ticket-to-pr/.env.template +++ /dev/null @@ -1,5 +0,0 @@ -LINEAR_ACCESS_TOKEN="..." -LINEAR_SIGNING_SECRET="..." -LINEAR_TEAM_ID="..." -GITHUB_TOKEN="..." -ANTHROPIC_API_KEY="..." diff --git a/codegen-examples/examples/ticket-to-pr/README.md b/codegen-examples/examples/ticket-to-pr/README.md deleted file mode 100644 index bbbec5d80..000000000 --- a/codegen-examples/examples/ticket-to-pr/README.md +++ /dev/null @@ -1,43 +0,0 @@ -# Linear Ticket to GitHub PR Bot - -This example project demonstrates how to deploy an agentic bot that automatically creates GitHub Pull Requests from Linear tickets. The bot leverages Linear's webhook system to listen for ticket updates and uses AI to generate corresponding GitHub PRs with appropriate code changes. - -## Prerequisites - -Before running this application, you'll need the following API tokens and credentials: - -- GitHub API Token -- Linear API Token -- Anthropic API Token -- Linear Signing Key -- Linear Team ID - -## Setup - -1. Clone the repository -1. Set up your environment variables in a `.env` file: - -```env -GITHUB_TOKEN=your_github_token -LINEAR_API_TOKEN=your_linear_token -ANTHROPIC_API_KEY=your_anthropic_token -LINEAR_SIGNING_KEY=your_linear_signing_key -LINEAR_TEAM_ID=your_team_id -``` - -## Features - -- Automatic PR creation from Linear tickets -- AI-powered code generation using an agentic approach -- Webhook integration with Linear - -## Usage - -1. `uv sync` -1. `uv run modal deploy app.py` - - At this point you should have a modal app with an endpoint that is auto registered to linear as a webhook callback url. -1. Try making a ticket and adding the `Codegen` label to trigger the agent - -## Contributing - -Contributions are welcome! Please feel free to submit a Pull Request. diff --git a/codegen-examples/examples/ticket-to-pr/app.py b/codegen-examples/examples/ticket-to-pr/app.py deleted file mode 100644 index 49a654705..000000000 --- a/codegen-examples/examples/ticket-to-pr/app.py +++ /dev/null @@ -1,61 +0,0 @@ -from codegen import Codebase, CodeAgent -from codegen.extensions.clients.linear import LinearClient -from codegen.extensions.events.app import CodegenApp -from codegen.extensions.tools.github.create_pr import create_pr -from codegen.shared.enums.programming_language import ProgrammingLanguage -from helpers import create_codebase, format_linear_message, has_codegen_label, process_update_event - -from fastapi import Request - -import os -import modal -import logging - - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - -image = modal.Image.debian_slim(python_version="3.13").apt_install("git").pip_install("fastapi[standard]", "codegen==v0.26.3") - -app = CodegenApp("linear-bot", image=image, modal_api_key="") - - -@app.cls(secrets=[modal.Secret.from_dotenv()], keep_warm=1) -class LinearApp: - codebase: Codebase - - @modal.enter() - def run_this_on_container_startup(self): - self.codebase = create_codebase("codegen-sh/codegen-sdk", ProgrammingLanguage.PYTHON) - - # Subscribe web endpoints as linear webhook callbacks - app.linear.subscribe_all_handlers() - - @modal.exit() - def run_this_on_container_exit(self): - app.linear.unsubscribe_all_handlers() - - @modal.web_endpoint(method="POST") - @app.linear.event("Issue", should_handle=has_codegen_label) - def handle_webhook(self, data: dict, request: Request): - """"Handle incoming webhook events from Linear""" "" - linear_client = LinearClient(access_token=os.environ["LINEAR_ACCESS_TOKEN"]) - - event = process_update_event(data) - linear_client.comment_on_issue(event.issue_id, "I'm on it πŸ‘") - - query = format_linear_message(event.title, event.description) - agent = CodeAgent(self.codebase) - - agent.run(query) - - pr_title = f"[{event.identifier}] " + event.title - pr_body = "Codegen generated PR for issue: " + event.issue_url - create_pr_result = create_pr(self.codebase, pr_title, pr_body) - - logger.info(f"PR created: {create_pr_result.model_dump_json()}") - - linear_client.comment_on_issue(event.issue_id, f"I've finished running, please review the PR: {create_pr_result.url}") - self.codebase.reset() - - return {"status": "success"} diff --git a/codegen-examples/examples/ticket-to-pr/data.py b/codegen-examples/examples/ticket-to-pr/data.py deleted file mode 100644 index 82ba54442..000000000 --- a/codegen-examples/examples/ticket-to-pr/data.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Any, Dict, List, Optional -from pydantic import BaseModel - - -class LinearLabels(BaseModel): - id: str - color: str # hex color - name: str - - -class LinearIssueUpdateEvent(BaseModel): - action: str - issue_id: str - actor: Dict[str, Any] - created_at: str - issue_url: str - data: Dict[str, Any] - labels: List[LinearLabels] - updated_from: Dict[str, Any] - title: str - description: Optional[str] = None - identifier: Optional[str] = None diff --git a/codegen-examples/examples/ticket-to-pr/helpers.py b/codegen-examples/examples/ticket-to-pr/helpers.py deleted file mode 100644 index b4302a2b5..000000000 --- a/codegen-examples/examples/ticket-to-pr/helpers.py +++ /dev/null @@ -1,84 +0,0 @@ -from codegen import Codebase, ProgrammingLanguage -from typing import List, Dict, Any -from codegen.configs.models.codebase import CodebaseConfig -from data import LinearLabels, LinearIssueUpdateEvent -import os -import logging - - -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - - -def process_update_event(event_data: dict[str, Any]): - print("processing update event") - - action = event_data.get("action") - actor = event_data.get("actor") - created_at = event_data.get("createdAt") - issue_url = event_data.get("url") - data: Dict[str, Any] = event_data.get("data") - issue_id = data.get("id") - title = data.get("title") - description = data.get("description") - identifier = data.get("identifier") - - labels: List[LinearLabels] = data.get("labels") - updated_from: Dict[str, Any] = event_data.get("updatedFrom") - - update_event = LinearIssueUpdateEvent( - issue_id=issue_id, - action=action, - actor=actor, - created_at=created_at, - issue_url=issue_url, - data=data, - labels=labels, - updated_from=updated_from, - title=title, - description=description, - identifier=identifier, - ) - return update_event - - -def format_linear_message(title: str, description: str | None = "") -> str: - """Format a Linear update event into a message for the agent""" - - return f""" - Here is a new issue titled '{title}' and with the description '{description}'. Continue to respond to this query. Use your tools to query the codebase for more context. - When applicable include references to files and line numbers, code snippets are also encouraged. Don't forget to create a pull request with your changes, use the appropriate tool to do so. - """ - - -def has_codegen_label(*args, **kwargs): - body = kwargs.get("data") - type = body.get("type") - action = body.get("action") - - if type == "Issue" and action == "update": - # handle issue update (label updates) - update_event = process_update_event(body) - - has_codegen_label = any(label.name == "Codegen" for label in update_event.labels) - codegen_label_id = next((label.id for label in update_event.labels if label.name == "Codegen"), None) - had_codegen_label = codegen_label_id in update_event.updated_from.get("labels", []) if codegen_label_id else False - previous_labels = update_event.updated_from.get("labelIds", None) - - if previous_labels is None or not has_codegen_label: - logger.info("No labels updated, skipping codegen bot response") - return False - - if has_codegen_label and not had_codegen_label: - logger.info("Codegen label added, codegen bot will respond") - return True - - logger.info("Codegen label removed or already existed, codegen bot will not respond") - return False - - -def create_codebase(repo_name: str, language: ProgrammingLanguage): - config = CodebaseConfig() - config.secrets.github_token = os.environ["GITHUB_TOKEN"] - - return Codebase.from_repo(repo_name, language=language, tmp_dir="/root", config=config) diff --git a/codegen-examples/examples/ticket-to-pr/pyproject.toml b/codegen-examples/examples/ticket-to-pr/pyproject.toml deleted file mode 100644 index b1fbfdb35..000000000 --- a/codegen-examples/examples/ticket-to-pr/pyproject.toml +++ /dev/null @@ -1,12 +0,0 @@ -[project] -name = "ticket-to-pr" -version = "0.1.0" -description = "A example implementation of a agentic linear bot that can create PRs from linear tickets" -readme = "README.md" -requires-python = ">=3.12, <3.14" -dependencies = [ - "codegen@git+https://github.com/codegen-sh/codegen-sdk.git@1f4dddb258a61574bce8edd06c81510c42e1e255", - "fastapi>=0.115.8", - "modal>=0.73.51", - 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-This guide demonstrates how to build an intelligent code agent that can analyze and manipulate codebases. - -```python -from codegen import CodeAgent, Codebase - -# Grab a repo from Github -codebase = Codebase.from_repo('fastapi/fastapi') - -# Create a code agent with read/write codebase access -agent = CodeAgent(codebase) - -# Run the agent with a prompt -agent.run("Tell me about this repo") -``` - -The agent has access to powerful code viewing and manipulation tools powered by Codegen, including: -- `ViewFileTool`: View contents and metadata of files -- `SemanticEditTool`: Make intelligent edits to files -- `RevealSymbolTool`: Analyze symbol dependencies and usages -- `MoveSymbolTool`: Move symbols between files with import handling -- `ReplacementEditTool`: Make regex-based replacement editing on files -- `ListDirectoryTool`: List directory contents -- `SearchTool`: Search for files and symbols -- `CreateFileTool`: Create new files -- `DeleteFileTool`: Delete files -- `RenameFileTool`: Rename files -- `EditFileTool`: Edit files - - - -View the full code for the default tools and agent implementation in our [examples repository](https://github.com/codegen-sh/codegen-sdk/tree/develop/src/codegen/extensions/langchain/tools) - -# Basic Usage - -The following example shows how to create and run a `CodeAgent`: - -```python -from codegen import CodeAgent, Codebase - -# Grab a repo from Github -codebase = Codebase.from_repo('fastapi/fastapi') - -# Create a code agent with read/write codebase access -agent = CodeAgent(codebase) - -# Run the agent with a prompt -agent.run("Tell me about this repo") -``` - - -Your `ANTHROPIC_API_KEY` must be set in your env. - -The default implementation uses `anthropic/claude-3-5-sonnet-latest` for the model but this can be changed through the `model_provider` and `model_name` arguments. - -```python -agent = CodeAgent( - codebase=codebase, - model_provider="openai", - model_name="gpt-4o", -) -``` - -If using a non-default model provider, make sure to set the appropriate API key (e.g., `OPENAI_API_KEY` for OpenAI models) in your env. - -# Available Tools - -The agent comes with a comprehensive set of tools for code analysis and manipulation. Here are some key tools: - -```python -from codegen.extensions.langchain.tools import ( - CreateFileTool, - DeleteFileTool, - EditFileTool, - ListDirectoryTool, - MoveSymbolTool, - RenameFileTool, - ReplacementEditTool, - RevealSymbolTool, - SearchTool, - SemanticEditTool, - ViewFileTool, -) -``` - -View the full set of [tools on Github](https://github.com/codegen-sh/codegen-sdk/blob/develop/src/codegen/extensions/langchain/tools.py) - -Each tool provides specific capabilities: - -# Extensions - -## GitHub Integration - -The agent includes tools for GitHub operations like PR management. Set up GitHub access with: - -```bash -CODEGEN_SECRETS__GITHUB_TOKEN="..." -``` - -Import the GitHub tools: - -```python -from codegen.extensions.langchain.tools import ( - GithubCreatePRTool, - GithubViewPRTool, - GithubCreatePRCommentTool, - GithubCreatePRReviewCommentTool -) -``` - -These tools enable: -- Creating pull requests -- Viewing PR contents and diffs -- Adding general PR comments -- Adding inline review comments - -View all Github tools on [Github](https://github.com/codegen-sh/codegen-sdk/blob/develop/src/codegen/extensions/langchain/tools.py) - - -## Linear Integration - -The agent can interact with Linear for issue tracking and project management. To use Linear tools, set the following environment variables: - -```bash -LINEAR_ACCESS_TOKEN="..." -LINEAR_TEAM_ID="..." -LINEAR_SIGNING_SECRET="..." -``` - -Import and use the Linear tools: - -```python -from codegen.extensions.langchain.tools import ( - LinearGetIssueTool, - LinearGetIssueCommentsTool, - LinearCommentOnIssueTool, - LinearSearchIssuesTool, - LinearCreateIssueTool, - LinearGetTeamsTool -) -``` - -These tools allow the agent to: -- Create and search issues -- Get issue details and comments -- Add comments to issues -- View team information - -View all Linear tools on [Github](https://github.com/codegen-sh/codegen-sdk/blob/develop/src/codegen/extensions/langchain/tools.py) - - -## Adding Custom Tools - -You can extend the agent with custom tools: - -```python -from langchain.tools import BaseTool -from pydantic import BaseModel, Field -from codegen import CodeAgent - -class CustomToolInput(BaseModel): - """Input schema for custom tool.""" - param: str = Field(..., description="Parameter description") - -class CustomCodeTool(BaseTool): - """A custom tool for the code agent.""" - name = "custom_tool" - description = "Description of what the tool does" - args_schema = CustomToolInput - - def _run(self, param: str) -> str: - # Tool implementation - return f"Processed {param}" - -# Add custom tool to agent -tools.append(CustomCodeTool()) -agent = CodebaseAgent(codebase, tools=tools, model_name="claude-3-5-sonnet-latest") -``` diff --git a/docs/tutorials/github-review-bot.mdx b/docs/tutorials/github-review-bot.mdx deleted file mode 100644 index 9b9a669fd..000000000 --- a/docs/tutorials/github-review-bot.mdx +++ /dev/null @@ -1,189 +0,0 @@ ---- -title: "Building an AI-Powered GitHub PR Review Bot" -sidebarTitle: "GitHub PR Review Bot" -icon: "github" -iconType: "solid" ---- - -This tutorial demonstrates how to build an intelligent GitHub PR review bot that automatically reviews pull requests when triggered by labels. The bot uses Codegen's GitHub integration and AI capabilities to provide comprehensive code reviews with actionable feedback. - -View the full code and setup instructions in our [examples repository](https://github.com/codegen-sh/codegen-sdk/tree/develop/codegen-examples/examples/pr_review_bot) - -The bot is triggered by adding a "Codegen" label to PRs, making it easy to integrate into your existing workflow - -## Overview - -The process involves three main components: - -1. Setting up a Modal web endpoint for GitHub webhooks -2. Handling PR label events -3. Running an AI-powered code review agent - -Let's walk through each component using Codegen. - -## Step 1: Setting Up the Modal App - -First, we set up a Modal application to handle GitHub webhooks: - -```python -import modal -from codegen.extensions.events.app import CodegenApp -from fastapi import Request - -# Set up the base image with required dependencies -base_image = ( - modal.Image.debian_slim(python_version="3.12") - .apt_install("git") - .pip_install( - "codegen>=0.18", - "openai>=1.1.0", - "fastapi[standard]", - "slack_sdk", - ) -) - -# Initialize the Codegen app with GitHub integration -app = CodegenApp(name="github", image=base_image) - -@app.function(secrets=[modal.Secret.from_dotenv()]) -@modal.web_endpoint(method="POST") -def entrypoint(event: dict, request: Request): - return app.github.handle(event, request) -``` - - -The Modal app provides a webhook endpoint that GitHub can call when PR events occur. -Make sure to configure your GitHub repository's webhook settings to point to your Modal endpoint. - - -## Step 2: Handling PR Events - -Next, we set up event handlers for PR label events: - -```python -from codegen.extensions.github.types.events.pull_request import ( - PullRequestLabeledEvent, - PullRequestUnlabeledEvent -) - -@app.github.event("pull_request:labeled") -def handle_labeled(event: PullRequestLabeledEvent): - """Handle PR labeled events.""" - if event.label.name == "Codegen": - # Optional: Notify a Slack channel - app.slack.client.chat_postMessage( - channel="YOUR_CHANNEL_ID", - text=f"PR #{event.number} labeled with Codegen, starting review", - ) - # Start the review process - pr_review_agent(event) - -@app.github.event("pull_request:unlabeled") -def handle_unlabeled(event: PullRequestUnlabeledEvent): - """Handle PR unlabeled events.""" - if event.label.name == "Codegen": - # Clean up bot comments when label is removed - remove_bot_comments(event) -``` - - -The bot only triggers on PRs labeled with "Codegen", giving you control over which PRs get reviewed. - - -## Step 3: Implementing the Review Agent - -Finally, we implement the AI-powered review agent: - -```python -from codegen import Codebase, CodeAgent -from codegen.extensions.langchain.tools import ( - GithubViewPRTool, - GithubCreatePRCommentTool, - GithubCreatePRReviewCommentTool, -) - -def pr_review_agent(event: PullRequestLabeledEvent) -> None: - """Run the PR review agent.""" - # Initialize codebase for the repository - repo_str = f"{event.organization.login}/{event.repository.name}" - codebase = Codebase.from_repo( - repo_str, - language='python', - secrets=SecretsConfig(github_token=os.environ["GITHUB_TOKEN"]) - ) - - # Create a temporary comment to show the bot is working - review_message = "CodegenBot is starting to review the PR please wait..." - comment = codebase._op.create_pr_comment(event.number, review_message) - - # Set up PR review tools - pr_tools = [ - GithubViewPRTool(codebase), - GithubCreatePRCommentTool(codebase), - GithubCreatePRReviewCommentTool(codebase), - ] - - # Create and run the review agent - agent = CodeAgent(codebase=codebase, tools=pr_tools) - prompt = f""" -Review this pull request like a senior engineer: -{event.pull_request.url} - -Be explicit about the changes, produce a short summary, and point out possible improvements. -Focus on facts and technical details, using code snippets where helpful. -""" - result = agent.run(prompt) - - # Clean up the temporary comment - comment.delete() -``` - -## Setting Up the Environment - -Before running the bot, you'll need: - -1. Create a `.env` file with your credentials: - -```env -GITHUB_TOKEN=your_github_token -GITHUB_API_KEY=your_github_token -ANTHROPIC_API_KEY=your_anthropic_key -SLACK_BOT_TOKEN=your_slack_token # Optional -``` - -2. Deploy the Modal app: -```bash -uv sync # Install dependencies -uv run modal deploy app.py -``` - -3. Configure GitHub webhook: - - Go to your repository settings - - Add webhook pointing to your Modal endpoint - - Select "Pull request" events - - Add a webhook secret (optional but recommended) - -## Example Usage - -1. Create or update a pull request in your repository -2. Add the "Codegen" label to trigger a review -3. The bot will: - - Post a temporary "starting review" comment - - Analyze the PR changes - - Post detailed review comments - - Remove the temporary comment when done - -To remove the bot's comments: -1. Remove the "Codegen" label -2. The bot will automatically clean up its comments - -## Extensions - -While this example demonstrates a basic PR review bot, you can extend it to: -- Customize the review criteria -- Add more sophisticated analysis tools -- Integrate with other services -- Add automatic fix suggestions -- ... etc. - -Check out our [Code Agent tutorial](/tutorials/build-code-agent) to learn more about building sophisticated AI agents with Codegen \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index fa1f882f8..58392b020 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,7 +10,6 @@ dependencies = [ "tiktoken<1.0.0,>=0.5.1", "tabulate>=0.9.0,<1.0.0", "codeowners<1.0.0,>=0.6.0", - "anthropic", "dataclasses-json<1.0.0,>=0.6.4", "dicttoxml<2.0.0,>=1.7.16", "xmltodict<1.0.0,>=0.13.0", @@ -61,25 +60,17 @@ dependencies = [ "python-semantic-release", "uvicorn[standard]>=0.30.0", "packaging>=24.2", - "langchain[openai]", - "langchain_core", - "langchain_openai", - "langgraph", - "langgraph-prebuilt", "numpy>=2.2.2", "mcp[cli]", "neo4j", "modal>=0.73.45", "slack-sdk", - "langchain-anthropic>=0.3.7", "lox>=0.12.0", "httpx>=0.28.1", "docker>=6.1.3", "urllib3>=2.0.0", "datasets", "colorlog>=6.9.0", - "langsmith", - "langchain-xai>=0.2.1", "codegen-sdk-pink>=0.1.0", ] diff --git a/src/codegen/__init__.py b/src/codegen/__init__.py index 1b9b91d17..ce25a4938 100644 --- a/src/codegen/__init__.py +++ b/src/codegen/__init__.py @@ -1,11 +1,7 @@ -from codegen.agents.code_agent import CodeAgent from codegen.cli.sdk.decorator import function from codegen.cli.sdk.functions import Function from codegen.extensions.events.codegen_app import CodegenApp - -# from codegen.extensions.index.file_index import FileIndex -# from codegen.extensions.langchain.agent import create_agent_with_tools, create_codebase_agent from codegen.sdk.core.codebase import Codebase from codegen.shared.enums.programming_language import ProgrammingLanguage -__all__ = ["CodeAgent", "Codebase", "CodegenApp", "Function", "ProgrammingLanguage", "function"] +__all__ = ["Codebase", "CodegenApp", "Function", "ProgrammingLanguage", "function"] diff --git a/src/codegen/agents/__init__.py b/src/codegen/agents/__init__.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/src/codegen/agents/chat_agent.py b/src/codegen/agents/chat_agent.py deleted file mode 100644 index 24ecada26..000000000 --- a/src/codegen/agents/chat_agent.py +++ /dev/null @@ -1,95 +0,0 @@ -from typing import TYPE_CHECKING, Optional -from uuid import uuid4 - -from langchain.tools import BaseTool -from langchain_core.messages import AIMessage - -from codegen.extensions.langchain.agent import create_chat_agent - -if TYPE_CHECKING: - from codegen import Codebase - - -class ChatAgent: - """Agent for interacting with a codebase.""" - - def __init__(self, codebase: "Codebase", model_provider: str = "anthropic", model_name: str = "claude-3-5-sonnet-latest", memory: bool = True, tools: Optional[list[BaseTool]] = None, **kwargs): - """Initialize a CodeAgent. - - Args: - codebase: The codebase to operate on - model_provider: The model provider to use ("anthropic" or "openai") - model_name: Name of the model to use - memory: Whether to let LLM keep track of the conversation history - tools: Additional tools to use - **kwargs: Additional LLM configuration options. Supported options: - - temperature: Temperature parameter (0-1) - - top_p: Top-p sampling parameter (0-1) - - top_k: Top-k sampling parameter (>= 1) - - max_tokens: Maximum number of tokens to generate - """ - self.codebase = codebase - self.agent = create_chat_agent(self.codebase, model_provider=model_provider, model_name=model_name, memory=memory, additional_tools=tools, **kwargs) - - def run(self, prompt: str, thread_id: Optional[str] = None) -> str: - """Run the agent with a prompt. - - Args: - prompt: The prompt to run - thread_id: Optional thread ID for message history. If None, a new thread is created. - - Returns: - The agent's response - """ - if thread_id is None: - thread_id = str(uuid4()) - - input = {"query": prompt} - stream = self.agent.stream(input, config={"configurable": {"thread_id": thread_id}}, stream_mode="values") - - for s in stream: - message = s["messages"][-1] - if isinstance(message, tuple): - print(message) - else: - if isinstance(message, AIMessage) and isinstance(message.content, list) and "text" in message.content[0]: - AIMessage(message.content[0]["text"]).pretty_print() - else: - message.pretty_print() - - return s["final_answer"] - - def chat(self, prompt: str, thread_id: Optional[str] = None) -> tuple[str, str]: - """Chat with the agent, maintaining conversation history. - - Args: - prompt: The user message - thread_id: Optional thread ID for message history. If None, a new thread is created. - - Returns: - A tuple of (response_content, thread_id) to allow continued conversation - """ - if thread_id is None: - thread_id = str(uuid4()) - print(f"Starting new chat thread: {thread_id}") - else: - print(f"Continuing chat thread: {thread_id}") - - response = self.run(prompt, thread_id=thread_id) - return response, thread_id - - def get_chat_history(self, thread_id: str) -> list: - """Retrieve the chat history for a specific thread. - - Args: - thread_id: The thread ID to retrieve history for - - Returns: - List of messages in the conversation history - """ - # Access the agent's memory to get conversation history - if hasattr(self.agent, "get_state"): - state = self.agent.get_state({"configurable": {"thread_id": thread_id}}) - if state and "messages" in state: - return state["messages"] - return [] diff --git a/src/codegen/agents/code_agent.py b/src/codegen/agents/code_agent.py deleted file mode 100644 index 693c0cd44..000000000 --- a/src/codegen/agents/code_agent.py +++ /dev/null @@ -1,222 +0,0 @@ -import os -from typing import TYPE_CHECKING, Optional -from uuid import uuid4 - -from langchain.tools import BaseTool -from langchain_core.messages import AIMessage, HumanMessage -from langchain_core.runnables.config import RunnableConfig -from langgraph.graph.graph import CompiledGraph -from langsmith import Client - -from codegen.agents.loggers import ExternalLogger -from codegen.agents.tracer import MessageStreamTracer -from codegen.extensions.langchain.agent import create_codebase_agent -from codegen.extensions.langchain.utils.get_langsmith_url import ( - find_and_print_langsmith_run_url, -) - -if TYPE_CHECKING: - from codegen import Codebase - -from codegen.agents.utils import AgentConfig - - -class CodeAgent: - """Agent for interacting with a codebase.""" - - codebase: "Codebase" - agent: CompiledGraph - langsmith_client: Client - project_name: str - thread_id: str | None = None - run_id: str | None = None - instance_id: str | None = None - difficulty: int | None = None - logger: Optional[ExternalLogger] = None - - def __init__( - self, - codebase: "Codebase", - model_provider: str = "anthropic", - model_name: str = "claude-3-7-sonnet-latest", - memory: bool = True, - tools: Optional[list[BaseTool]] = None, - tags: Optional[list[str]] = [], - metadata: Optional[dict] = {}, - agent_config: Optional[AgentConfig] = None, - thread_id: Optional[str] = None, - logger: Optional[ExternalLogger] = None, - **kwargs, - ): - """Initialize a CodeAgent. - - Args: - codebase: The codebase to operate on - model_provider: The model provider to use ("anthropic" or "openai") - model_name: Name of the model to use - memory: Whether to let LLM keep track of the conversation history - tools: Additional tools to use - tags: Tags to add to the agent trace. Must be of the same type. - metadata: Metadata to use for the agent. Must be a dictionary. - **kwargs: Additional LLM configuration options. Supported options: - - temperature: Temperature parameter (0-1) - - top_p: Top-p sampling parameter (0-1) - - top_k: Top-k sampling parameter (>= 1) - - max_tokens: Maximum number of tokens to generate - """ - self.codebase = codebase - self.agent = create_codebase_agent( - self.codebase, - model_provider=model_provider, - model_name=model_name, - memory=memory, - additional_tools=tools, - config=agent_config, - **kwargs, - ) - self.model_name = model_name - self.langsmith_client = Client() - - if thread_id is None: - self.thread_id = str(uuid4()) - else: - self.thread_id = thread_id - - # Get project name from environment variable or use a default - self.project_name = os.environ.get("LANGCHAIN_PROJECT", "RELACE") - print(f"Using LangSmith project: {self.project_name}") - - # Store SWEBench metadata if provided - self.run_id = metadata.get("run_id") - self.instance_id = metadata.get("instance_id") - # Extract difficulty value from "difficulty_X" format - difficulty_str = metadata.get("difficulty", "") - self.difficulty = int(difficulty_str.split("_")[1]) if difficulty_str and "_" in difficulty_str else None - - # Initialize tags for agent trace - self.tags = [*tags, self.model_name] - - # set logger if provided - self.logger = logger - - # Initialize metadata for agent trace - self.metadata = { - "project": self.project_name, - "model": self.model_name, - **metadata, - } - - def run(self, prompt: str, image_urls: Optional[list[str]] = None) -> str: - """Run the agent with a prompt and optional images. - - Args: - prompt: The prompt to run - image_urls: Optional list of base64-encoded image strings. Example: ["data:image/png;base64,"] - thread_id: Optional thread ID for message history - - Returns: - The agent's response - """ - self.config = { - "configurable": { - "thread_id": self.thread_id, - "metadata": {"project": self.project_name}, - }, - "recursion_limit": 100, - } - - # Prepare content with prompt and images if provided - content = [{"type": "text", "text": prompt}] - if image_urls: - content += [{"type": "image_url", "image_url": {"url": image_url}} for image_url in image_urls] - - config = RunnableConfig(configurable={"thread_id": self.thread_id}, tags=self.tags, metadata=self.metadata, recursion_limit=200) - # we stream the steps instead of invoke because it allows us to access intermediate nodes - - stream = self.agent.stream({"messages": [HumanMessage(content=content)]}, config=config, stream_mode="values") - - _tracer = MessageStreamTracer(logger=self.logger) - - # Process the stream with the tracer - traced_stream = _tracer.process_stream(stream) - - # Keep track of run IDs from the stream - run_ids = [] - - for s in traced_stream: - if len(s["messages"]) == 0 or isinstance(s["messages"][-1], HumanMessage): - message = HumanMessage(content=content) - else: - message = s["messages"][-1] - - if isinstance(message, tuple): - # print(message) - pass - else: - if isinstance(message, AIMessage) and isinstance(message.content, list) and len(message.content) > 0 and "text" in message.content[0]: - AIMessage(message.content[0]["text"]).pretty_print() - else: - message.pretty_print() - - # Try to extract run ID if available in metadata - if hasattr(message, "additional_kwargs") and "run_id" in message.additional_kwargs: - run_ids.append(message.additional_kwargs["run_id"]) - - # Get the last message content - result = s["final_answer"] - - # # Try to find run IDs in the LangSmith client's recent runs - try: - # Find and print the LangSmith run URL - find_and_print_langsmith_run_url(self.langsmith_client, self.project_name) - except Exception as e: - separator = "=" * 60 - print(f"\n{separator}\nCould not retrieve LangSmith URL: {e}") - import traceback - - print(traceback.format_exc()) - print(separator) - - return result - - def get_agent_trace_url(self) -> str | None: - """Get the URL for the most recent agent run in LangSmith. - - Returns: - The URL for the run in LangSmith if found, None otherwise - """ - try: - # TODO - this is definitely not correct, we should be able to get the URL directly... - return find_and_print_langsmith_run_url(client=self.langsmith_client, project_name=self.project_name) - except Exception as e: - separator = "=" * 60 - print(f"\n{separator}\nCould not retrieve LangSmith URL: {e}") - import traceback - - print(traceback.format_exc()) - print(separator) - return None - - def get_tools(self) -> list[BaseTool]: - return list(self.agent.get_graph().nodes["tools"].data.tools_by_name.values()) - - def get_state(self) -> dict: - return self.agent.get_state(self.config) - - def get_tags_metadata(self) -> tuple[list[str], dict]: - tags = [self.model_name] - metadata = {"project": self.project_name, "model": self.model_name} - # Add SWEBench run ID and instance ID to the metadata and tags for filtering - if self.run_id is not None: - metadata["swebench_run_id"] = self.run_id - tags.append(self.run_id) - - if self.instance_id is not None: - metadata["swebench_instance_id"] = self.instance_id - tags.append(self.instance_id) - - if self.difficulty is not None: - metadata["swebench_difficulty"] = self.difficulty - tags.append(f"difficulty_{self.difficulty}") - - return tags, metadata diff --git a/src/codegen/agents/data.py b/src/codegen/agents/data.py deleted file mode 100644 index fab2283da..000000000 --- a/src/codegen/agents/data.py +++ /dev/null @@ -1,72 +0,0 @@ -from dataclasses import dataclass, field -from datetime import UTC, datetime -from typing import Literal, Optional, Union - - -# Base dataclass for all message types -@dataclass -class BaseMessage: - """Base class for all message types.""" - - type: str - timestamp: str = field(default_factory=lambda: datetime.now(tz=UTC).isoformat()) - content: str = "" - - -@dataclass -class UserMessage(BaseMessage): - """Represents a message from the user.""" - - type: Literal["user"] = field(default="user") - - -@dataclass -class SystemMessageData(BaseMessage): - """Represents a system message.""" - - type: Literal["system"] = field(default="system") - - -@dataclass -class ToolCall: - """Represents a tool call within an assistant message.""" - - name: Optional[str] = None - arguments: Optional[str] = None - id: Optional[str] = None - - -@dataclass -class AssistantMessage(BaseMessage): - """Represents a message from the assistant.""" - - type: Literal["assistant"] = field(default="assistant") - tool_calls: list[ToolCall] = field(default_factory=list) - - -@dataclass -class ToolMessageData(BaseMessage): - """Represents a tool response message.""" - - type: Literal["tool"] = field(default="tool") - tool_name: Optional[str] = None - tool_response: Optional[str] = None - tool_id: Optional[str] = None - status: Optional[str] = None - - -@dataclass -class FunctionMessageData(BaseMessage): - """Represents a function message.""" - - type: Literal["function"] = field(default="function") - - -@dataclass -class UnknownMessage(BaseMessage): - """Represents an unknown message type.""" - - type: Literal["unknown"] = field(default="unknown") - - -type AgentRunMessage = Union[UserMessage, SystemMessageData, AssistantMessage, ToolMessageData, FunctionMessageData, UnknownMessage] diff --git a/src/codegen/agents/loggers.py b/src/codegen/agents/loggers.py deleted file mode 100644 index b507c427c..000000000 --- a/src/codegen/agents/loggers.py +++ /dev/null @@ -1,16 +0,0 @@ -from typing import Protocol - -from .data import AgentRunMessage - - -# Define the interface for ExternalLogger -class ExternalLogger(Protocol): - """Protocol defining the interface for external loggers.""" - - def log(self, data: AgentRunMessage) -> None: - """Log structured data to an external system. - - Args: - data: The structured data to log, either as a dictionary or a BaseMessage - """ - pass diff --git a/src/codegen/agents/scratch.ipynb b/src/codegen/agents/scratch.ipynb deleted file mode 100644 index d39e4874f..000000000 --- a/src/codegen/agents/scratch.ipynb +++ /dev/null @@ -1,98 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from codegen.agents.code_agent import CodeAgent" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from codegen.sdk.core.codebase import Codebase\n", - "\n", - "\n", - "codebase = Codebase.from_repo(\"codegen-sh/Kevin-s-Adventure-Game\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from typing import Any, Dict, Union\n", - "from codegen.agents.data import BaseMessage\n", - "from codegen.agents.loggers import ExternalLogger\n", - "\n", - "\n", - "class ConsoleLogger(ExternalLogger):\n", - " def log(self, data: Union[Dict[str, Any], BaseMessage]) -> None:\n", - " print(data.content)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "image = \"\"" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "agent = CodeAgent(codebase)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "agent.run(\"Tell me about the images you see.\", image_urls=[f\"data:image/png;base64,{image}\", f\"data:image/png;base64,{image}\"])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "agent.run(\"What is the main character's name?\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": ".venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.13.1" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/src/codegen/agents/tracer.py b/src/codegen/agents/tracer.py deleted file mode 100644 index ef711b9e9..000000000 --- a/src/codegen/agents/tracer.py +++ /dev/null @@ -1,143 +0,0 @@ -from collections.abc import Generator -from typing import Any, Optional - -from langchain.schema import AIMessage, HumanMessage -from langchain.schema import FunctionMessage as LCFunctionMessage -from langchain.schema import SystemMessage as LCSystemMessage -from langchain_core.messages import ToolMessage as LCToolMessage - -from .data import AssistantMessage, BaseMessage, FunctionMessageData, SystemMessageData, ToolCall, ToolMessageData, UnknownMessage, UserMessage -from .loggers import ExternalLogger - - -class MessageStreamTracer: - def __init__(self, logger: Optional[ExternalLogger] = None): - self.traces = [] - self.logger = logger - - def process_stream(self, message_stream: Generator) -> Generator: - """Process the stream of messages from the LangGraph agent, - extract structured data, and pass through the messages. - """ - for chunk in message_stream: - # Process the chunk - structured_data = self.extract_structured_data(chunk) - - # Log the structured data - if structured_data: - self.traces.append(structured_data) - - # If there's an external logger, send the data there - if self.logger: - self.logger.log(structured_data) - - # Pass through the chunk to maintain the original stream behavior - yield chunk - - def extract_structured_data(self, chunk: dict[str, Any]) -> Optional[BaseMessage]: - """Extract structured data from a message chunk. - Returns None if the chunk doesn't contain useful information. - Returns a BaseMessage subclass instance based on the message type. - """ - # Get the messages from the chunk if available - messages = chunk.get("messages", []) - if not messages and isinstance(chunk, dict): - # Sometimes the message might be in a different format - for key, value in chunk.items(): - if isinstance(value, list) and all(hasattr(item, "type") for item in value if hasattr(item, "__dict__")): - messages = value - break - - if not messages: - return None - - # Get the latest message - latest_message = messages[-1] if messages else None - - if not latest_message: - return None - - # Determine message type - message_type = self._get_message_type(latest_message) - content = self._get_message_content(latest_message) - - # Create the appropriate message type - if message_type == "user": - return UserMessage(type=message_type, content=content) - elif message_type == "system": - return SystemMessageData(type=message_type, content=content) - elif message_type == "assistant": - tool_calls_data = self._extract_tool_calls(latest_message) - tool_calls = [ToolCall(name=tc.get("name"), arguments=tc.get("arguments"), id=tc.get("id")) for tc in tool_calls_data] - return AssistantMessage(type=message_type, content=content, tool_calls=tool_calls) - elif message_type == "tool": - return ToolMessageData( - type=message_type, - content=content, - tool_name=getattr(latest_message, "name", None), - tool_response=getattr(latest_message, "artifact", content), - tool_id=getattr(latest_message, "tool_call_id", None), - status=getattr(latest_message, "status", None), - ) - elif message_type == "function": - return FunctionMessageData(type=message_type, content=content) - else: - return UnknownMessage(type=message_type, content=content) - - def _get_message_type(self, message) -> str: - """Determine the type of message.""" - if isinstance(message, HumanMessage): - return "user" - elif isinstance(message, AIMessage): - return "assistant" - elif isinstance(message, LCSystemMessage): - return "system" - elif isinstance(message, LCFunctionMessage): - return "function" - elif isinstance(message, LCToolMessage): - return "tool" - elif hasattr(message, "type") and message.type: - return message.type - else: - return "unknown" - - def _get_message_content(self, message) -> str: - """Extract content from a message.""" - if hasattr(message, "content"): - return message.content - elif hasattr(message, "message") and hasattr(message.message, "content"): - return message.message.content - else: - return str(message) - - def _extract_tool_calls(self, message) -> list[dict[str, Any]]: - """Extract tool calls from an assistant message.""" - tool_calls = [] - - # Check different possible locations for tool calls - if hasattr(message, "additional_kwargs") and "tool_calls" in message.additional_kwargs: - raw_tool_calls = message.additional_kwargs["tool_calls"] - for tc in raw_tool_calls: - tool_calls.append({"name": tc.get("function", {}).get("name"), "arguments": tc.get("function", {}).get("arguments"), "id": tc.get("id")}) - - # Also check for function_call which is used in some models - elif hasattr(message, "additional_kwargs") and "function_call" in message.additional_kwargs: - fc = message.additional_kwargs["function_call"] - if isinstance(fc, dict): - tool_calls.append( - { - "name": fc.get("name"), - "arguments": fc.get("arguments"), - "id": "function_call_1", # Assigning a default ID - } - ) - - return tool_calls - - def get_traces(self) -> list[BaseMessage]: - """Get all collected traces.""" - return self.traces - - def clear_traces(self) -> None: - """Clear all traces.""" - self.traces = [] diff --git a/src/codegen/agents/utils.py b/src/codegen/agents/utils.py deleted file mode 100644 index e5cdcebaf..000000000 --- a/src/codegen/agents/utils.py +++ /dev/null @@ -1,8 +0,0 @@ -from typing import TypedDict - - -class AgentConfig(TypedDict, total=False): - """Configuration options for the CodeAgent.""" - - keep_first_messages: int # Number of initial messages to keep during summarization - max_messages: int # Maximum number of messages before triggering summarization diff --git a/src/codegen/cli/commands/agent/main.py b/src/codegen/cli/commands/agent/main.py deleted file mode 100644 index 617c170aa..000000000 --- a/src/codegen/cli/commands/agent/main.py +++ /dev/null @@ -1,121 +0,0 @@ -import uuid -import warnings - -import rich_click as click -from langchain_core.messages import SystemMessage -from rich.console import Console -from rich.markdown import Markdown -from rich.prompt import Prompt - -from codegen.extensions.langchain.agent import create_agent_with_tools -from codegen.extensions.langchain.tools import ( - CreateFileTool, - DeleteFileTool, - EditFileTool, - ListDirectoryTool, - MoveSymbolTool, - RenameFileTool, - RevealSymbolTool, - RipGrepTool, - ViewFileTool, -) -from codegen.sdk.core.codebase import Codebase - -# Suppress specific warnings -warnings.filterwarnings("ignore", message=".*Helicone.*") -warnings.filterwarnings("ignore", message=".*LangSmith.*") -warnings.filterwarnings("ignore", category=DeprecationWarning) - -console = Console() - -WELCOME_ART = r"""[bold blue] - ____ _ - / ___|___ __| | ___ __ _ ___ _ __ - | | / _ \ / _` |/ _ \/ _` |/ _ \ '_ \ - | |__| (_) | (_| | __/ (_| | __/ | | | - \____\___/ \__,_|\___|\__, |\___|_| |_| - |___/ - -[/bold blue] -""" - - -@click.command(name="agent") -@click.option("--query", "-q", default=None, help="Initial query for the agent.") -def agent_command(query: str): - """Start an interactive chat session with the Codegen AI agent.""" - # Show welcome message - console.print(WELCOME_ART) - - # Initialize codebase from current directory - with console.status("[bold green]Initializing codebase...[/bold green]"): - codebase = Codebase("./") - - # Helper function for agent to print messages - def say(message: str): - console.print() # Add blank line before message - markdown = Markdown(message) - console.print(markdown) - console.print() # Add blank line after message - - # Initialize tools - tools = [ - ViewFileTool(codebase), - ListDirectoryTool(codebase), - RipGrepTool(codebase), - CreateFileTool(codebase), - DeleteFileTool(codebase), - RenameFileTool(codebase), - MoveSymbolTool(codebase), - RevealSymbolTool(codebase), - EditFileTool(codebase), - # RunBashCommandTool(codebase), - ] - - # Initialize chat history with system message - system_message = SystemMessage( - content="""You are a helpful AI assistant with access to the local codebase. -You can help with code exploration, editing, and general programming tasks. -Always explain what you're planning to do before taking actions.""" - ) - - # Get initial query if not provided via command line - if not query: - console.print("[bold]Welcome to the Codegen CLI Agent![/bold]") - console.print("I'm an AI assistant that can help you explore and modify code in this repository.") - console.print("I can help with tasks like viewing files, searching code, making edits, and more.") - console.print() - console.print("What would you like help with today?") - console.print() - query = Prompt.ask("[bold]>[/bold]") # Simple arrow prompt - - # Create the agent - agent = create_agent_with_tools(codebase=codebase, tools=tools, system_message=system_message) - - # Main chat loop - while True: - if not query: # Only prompt for subsequent messages - user_input = Prompt.ask("\n[bold]>[/bold]") # Simple arrow prompt - else: - user_input = query - query = None # Clear the initial query so we enter the prompt flow - - if user_input.lower() in ["exit", "quit"]: - break - - # Invoke the agent - with console.status("[bold green]Agent is thinking...") as status: - try: - thread_id = str(uuid.uuid4()) - result = agent.invoke( - {"input": user_input}, - config={"configurable": {"thread_id": thread_id}}, - ) - - result = result["messages"][-1].content - # Update chat history with AI's response - if result: - say(result) - except Exception as e: - console.print(f"[bold red]Error during agent execution:[/bold red] {e}") - break diff --git a/src/codegen/cli/mcp/agent/docs_expert.py b/src/codegen/cli/mcp/agent/docs_expert.py deleted file mode 100644 index 30d204193..000000000 --- a/src/codegen/cli/mcp/agent/docs_expert.py +++ /dev/null @@ -1,65 +0,0 @@ -"""Demo implementation of an agent with Codegen tools.""" - -from langchain_core.messages import SystemMessage -from langchain_core.runnables.history import RunnableWithMessageHistory -from langgraph.checkpoint.memory import MemorySaver - -from codegen.extensions.langchain.agent import create_codebase_agent -from codegen.sdk.core.codebase import Codebase - -AGENT_INSTRUCTIONS = """ -Instruction Set for Codegen SDK Expert Agent - -Overview: -This instruction set is designed for an agent that is an expert on the Codegen SDK, specifically the Python library. The agent will be asked questions about the SDK, including classes, utilities, -properties, and how to accomplish tasks using the SDK. The goal is to provide helpful responses that assist users in achieving their tasks with the SDK. - -Key Responsibilities: -1. Expertise in Codegen SDK: - - The agent is an expert on the Codegen SDK, with a deep understanding of its components and functionalities. - - It should be able to provide detailed explanations of classes, utilities, and properties defined in the SDK. - -2. Answering Questions: - - The agent will be asked questions about the Codegen SDK, such as: - - "Find all imports" - - "How do I add an import for a symbol?" - - "What is a statement object?" - - Responses should be clear, concise, and directly address the user's query. - -3. Task-Oriented Responses: - - The user is typically accomplishing a task using the Codegen SDK. - - Responses should be helpful toward that goal, providing guidance and solutions that facilitate task completion. - -4. Python Library Focus: - - Assume that questions are related to the Codegen SDK Python library. - - Provide Python-specific examples and explanations when applicable. - -Use the provided agent tools to look up additional information if needed. -By following this instruction set, the agent will be well-equipped to assist users in effectively utilizing the Codegen SDK for their projects. -""" - - -def create_sdk_expert_agent( - codebase: Codebase, model_name: str = "claude-3-5-sonnet-latest", model_provider: str = "anthropic", memory: bool = True, debug: bool = True, **kwargs -) -> RunnableWithMessageHistory: - """Create an agent with all codebase tools. - - Args: - codebase: The codebase to operate on - model_name: Name of the model to use (default: gpt-4) - temperature: Model temperature (default: 0) - verbose: Whether to print agent's thought process (default: True) - - Returns: - Initialized agent with message history - """ - # Initialize language model - - system_message = SystemMessage(content=AGENT_INSTRUCTIONS, type="SYSTEM") - - if memory: - memory = MemorySaver() - - agent = create_codebase_agent(codebase=codebase, model_provider=model_provider, model_name=model_name, memory=memory, system_message=system_message, debug=debug) - - return agent diff --git a/src/codegen/extensions/langchain/.env.template b/src/codegen/extensions/langchain/.env.template deleted file mode 100644 index 06cc984ed..000000000 --- a/src/codegen/extensions/langchain/.env.template +++ /dev/null @@ -1,8 +0,0 @@ -# API Keys for LLM providers -# You must provide the API key for the provider you want to use - -# Required for using Anthropic models (e.g., claude-3-*) -ANTHROPIC_API_KEY=your_anthropic_key_here - -# Required for using OpenAI models (e.g., gpt-4*) -OPENAI_API_KEY=your_openai_key_here diff --git a/src/codegen/extensions/langchain/__init__.py b/src/codegen/extensions/langchain/__init__.py deleted file mode 100644 index 301756a01..000000000 --- a/src/codegen/extensions/langchain/__init__.py +++ /dev/null @@ -1,54 +0,0 @@ -"""Langchain tools for workspace operations.""" - -from langchain_core.tools.base import BaseTool - -from codegen.sdk.core.codebase import Codebase - -from .tools import ( - CommitTool, - CreateFileTool, - DeleteFileTool, - EditFileTool, - ListDirectoryTool, - RevealSymbolTool, - RipGrepTool, - SemanticEditTool, - ViewFileTool, -) - -__all__ = [ - # Tool classes - "CommitTool", - "CreateFileTool", - "DeleteFileTool", - "EditFileTool", - "ListDirectoryTool", - "RevealSymbolTool", - "RipGrepTool", - "SemanticEditTool", - "ViewFileTool", - # Helper functions - "get_workspace_tools", -] - - -def get_workspace_tools(codebase: Codebase) -> list[BaseTool]: - """Get all workspace tools initialized with a codebase. - - Args: - codebase: The codebase to operate on - - Returns: - List of initialized Langchain tools - """ - return [ - ViewFileTool(codebase), - ListDirectoryTool(codebase), - RipGrepTool(codebase), - EditFileTool(codebase), - CreateFileTool(codebase), - DeleteFileTool(codebase), - CommitTool(codebase), - RevealSymbolTool(codebase), - SemanticEditTool(codebase), - ] diff --git a/src/codegen/extensions/langchain/agent.py b/src/codegen/extensions/langchain/agent.py deleted file mode 100644 index 551db5b46..000000000 --- a/src/codegen/extensions/langchain/agent.py +++ /dev/null @@ -1,217 +0,0 @@ -"""Demo implementation of an agent with Codegen tools.""" - -from typing import TYPE_CHECKING, Any - -from langchain.tools import BaseTool -from langchain_core.messages import SystemMessage -from langgraph.checkpoint.memory import MemorySaver -from langgraph.graph.graph import CompiledGraph - -from codegen.agents.utils import AgentConfig -from codegen.extensions.langchain.llm import LLM -from codegen.extensions.langchain.prompts import REASONER_SYSTEM_MESSAGE -from codegen.extensions.langchain.tools import ( - CreateFileTool, - DeleteFileTool, - GlobalReplacementEditTool, - ListDirectoryTool, - MoveSymbolTool, - ReflectionTool, - RelaceEditTool, - RenameFileTool, - ReplacementEditTool, - RevealSymbolTool, - RipGrepTool, - SearchFilesByNameTool, - # SemanticEditTool, - ViewFileTool, -) - -from .graph import create_react_agent - -if TYPE_CHECKING: - from codegen import Codebase - - -def create_codebase_agent( - codebase: "Codebase", - model_provider: str = "anthropic", - model_name: str = "claude-3-7-sonnet-latest", - system_message: SystemMessage = SystemMessage(REASONER_SYSTEM_MESSAGE), - memory: bool = True, - debug: bool = False, - additional_tools: list[BaseTool] | None = None, - config: AgentConfig | None = None, - **kwargs, -) -> CompiledGraph: - """Create an agent with all codebase tools. - - Args: - codebase: The codebase to operate on - model_provider: The model provider to use ("anthropic" or "openai") - model_name: Name of the model to use - verbose: Whether to print agent's thought process (default: True) - chat_history: Optional list of messages to initialize chat history with - **kwargs: Additional LLM configuration options. Supported options: - - temperature: Temperature parameter (0-1) - - top_p: Top-p sampling parameter (0-1) - - top_k: Top-k sampling parameter (>= 1) - - max_tokens: Maximum number of tokens to generate - - Returns: - Initialized agent with message history - """ - llm = LLM(model_provider=model_provider, model_name=model_name, **kwargs) - - # Initialize default tools - tools = [ - ViewFileTool(codebase), - ListDirectoryTool(codebase), - RipGrepTool(codebase), - # EditFileTool(codebase), - CreateFileTool(codebase), - DeleteFileTool(codebase), - RenameFileTool(codebase), - # MoveSymbolTool(codebase), - # RevealSymbolTool(codebase), - # SemanticEditTool(codebase), - ReplacementEditTool(codebase), - RelaceEditTool(codebase), - ReflectionTool(codebase), - SearchFilesByNameTool(codebase), - GlobalReplacementEditTool(codebase), - ] - - if additional_tools: - # Get names of additional tools - additional_names = {t.get_name() for t in additional_tools} - # Keep only tools that don't have matching names in additional_tools - tools = [t for t in tools if t.get_name() not in additional_names] - tools.extend(additional_tools) - - memory = MemorySaver() if memory else None - - return create_react_agent(model=llm, tools=tools, system_message=system_message, checkpointer=memory, debug=debug, config=config) - - -def create_chat_agent( - codebase: "Codebase", - model_provider: str = "anthropic", - model_name: str = "claude-3-5-sonnet-latest", - system_message: SystemMessage = SystemMessage(REASONER_SYSTEM_MESSAGE), - memory: bool = True, - debug: bool = False, - additional_tools: list[BaseTool] | None = None, - config: dict[str, Any] | None = None, # over here you can pass in the max length of the number of messages - **kwargs, -) -> CompiledGraph: - """Create an agent with all codebase tools. - - Args: - codebase: The codebase to operate on - model_provider: The model provider to use ("anthropic" or "openai") - model_name: Name of the model to use - verbose: Whether to print agent's thought process (default: True) - chat_history: Optional list of messages to initialize chat history with - **kwargs: Additional LLM configuration options. Supported options: - - temperature: Temperature parameter (0-1) - - top_p: Top-p sampling parameter (0-1) - - top_k: Top-k sampling parameter (>= 1) - - max_tokens: Maximum number of tokens to generate - - Returns: - Initialized agent with message history - """ - llm = LLM(model_provider=model_provider, model_name=model_name, **kwargs) - - tools = [ - ViewFileTool(codebase), - ListDirectoryTool(codebase), - RipGrepTool(codebase), - CreateFileTool(codebase), - DeleteFileTool(codebase), - RenameFileTool(codebase), - MoveSymbolTool(codebase), - RevealSymbolTool(codebase), - RelaceEditTool(codebase), - ] - - if additional_tools: - tools.extend(additional_tools) - - memory = MemorySaver() if memory else None - - return create_react_agent(model=llm, tools=tools, system_message=system_message, checkpointer=memory, debug=debug, config=config) - - -def create_codebase_inspector_agent( - codebase: "Codebase", - model_provider: str = "openai", - model_name: str = "gpt-4o", - system_message: SystemMessage = SystemMessage(REASONER_SYSTEM_MESSAGE), - memory: bool = True, - debug: bool = True, - config: dict[str, Any] | None = None, - **kwargs, -) -> CompiledGraph: - """Create an inspector agent with read-only codebase tools. - - Args: - codebase: The codebase to operate on - model_provider: The model provider to use ("anthropic" or "openai") - model_name: Name of the model to use - system_message: Custom system message to use (defaults to standard reasoner message) - memory: Whether to enable memory/checkpointing - **kwargs: Additional LLM configuration options - - Returns: - Compiled langgraph agent - """ - llm = LLM(model_provider=model_provider, model_name=model_name, **kwargs) - - # Get read-only codebase tools - tools = [ - ViewFileTool(codebase), - ListDirectoryTool(codebase), - RipGrepTool(codebase), - DeleteFileTool(codebase), - RevealSymbolTool(codebase), - ] - - memory = MemorySaver() if memory else None - return create_react_agent(model=llm, tools=tools, system_message=system_message, checkpointer=memory, debug=debug, config=config) - - -def create_agent_with_tools( - tools: list[BaseTool], - model_provider: str = "openai", - model_name: str = "gpt-4o", - system_message: SystemMessage = SystemMessage(REASONER_SYSTEM_MESSAGE), - memory: bool = True, - debug: bool = True, - config: dict[str, Any] | None = None, - **kwargs, -) -> CompiledGraph: - """Create an agent with a specific set of tools. - - Args: - codebase: The codebase to operate on - tools: List of tools to provide to the agent - model_provider: The model provider to use ("anthropic" or "openai") - model_name: Name of the model to use - system_message: Custom system message to use (defaults to standard reasoner message) - memory: Whether to enable memory/checkpointing - **kwargs: Additional LLM configuration options. Supported options: - - temperature: Temperature parameter (0-1) - - top_p: Top-p sampling parameter (0-1) - - top_k: Top-k sampling parameter (>= 1) - - max_tokens: Maximum number of tokens to generate - - Returns: - Compiled langgraph agent - """ - llm = LLM(model_provider=model_provider, model_name=model_name, **kwargs) - - memory = MemorySaver() if memory else None - - return create_react_agent(model=llm, tools=tools, system_message=system_message, checkpointer=memory, debug=debug, config=config) diff --git a/src/codegen/extensions/langchain/graph.py b/src/codegen/extensions/langchain/graph.py deleted file mode 100644 index 436cc7d30..000000000 --- a/src/codegen/extensions/langchain/graph.py +++ /dev/null @@ -1,516 +0,0 @@ -"""Demo implementation of an agent with Codegen tools.""" - -import uuid -from typing import Annotated, Any, Literal, Optional, Union - -import anthropic -import openai -from langchain.tools import BaseTool -from langchain_core.messages import ( - AIMessage, - AnyMessage, - HumanMessage, - SystemMessage, - ToolMessage, -) -from langchain_core.prompts import ChatPromptTemplate -from langchain_core.stores import InMemoryBaseStore -from langgraph.checkpoint.memory import MemorySaver -from langgraph.graph import END, START -from langgraph.graph.state import CompiledGraph, StateGraph -from langgraph.pregel import RetryPolicy - -from codegen.agents.utils import AgentConfig -from codegen.extensions.langchain.llm import LLM -from codegen.extensions.langchain.prompts import SUMMARIZE_CONVERSATION_PROMPT -from codegen.extensions.langchain.utils.custom_tool_node import CustomToolNode -from codegen.extensions.langchain.utils.utils import get_max_model_input_tokens - - -def manage_messages(existing: list[AnyMessage], updates: Union[list[AnyMessage], dict]) -> list[AnyMessage]: - """Custom reducer for managing message history with summarization. - - Args: - existing: Current list of messages - updates: Either new messages to append or a dict specifying how to update messages - - Returns: - Updated list of messages - """ - if isinstance(updates, list): - # Ensure all messages have IDs - for msg in existing + updates: - if not hasattr(msg, "id") or msg.id is None: - msg.id = str(uuid.uuid4()) - - # Create a map of existing messages by ID - existing_by_id = {msg.id: i for i, msg in enumerate(existing)} - - # Start with copy of existing messages - result = existing.copy() - - # Update or append new messages - for msg in updates: - if msg.id in existing_by_id: - # Update existing message - result[existing_by_id[msg.id]] = msg - else: - # Append new message - result.append(msg) - - return result - - if isinstance(updates, dict): - if updates.get("type") == "summarize": - # Create summary message and mark it with additional_kwargs - summary_msg = AIMessage( - content=f"""Here is a summary of the conversation - from a previous timestep to aid for the continuing conversation: \n{updates["summary"]}\n\n""", - additional_kwargs={"is_summary": True}, # Use additional_kwargs for custom metadata - ) - summary_msg.id = str(uuid.uuid4()) - updates["tail"][-1].additional_kwargs["just_summarized"] = True - result = updates["head"] + [summary_msg] + updates["tail"] - return result - - return existing - - -class GraphState(dict[str, Any]): - """State of the graph.""" - - query: str - final_answer: str - messages: Annotated[list[AnyMessage], manage_messages] - - -class AgentGraph: - """Main graph class for the agent.""" - - def __init__(self, model: "LLM", tools: list[BaseTool], system_message: SystemMessage, config: AgentConfig | None = None): - self.model = model.bind_tools(tools) - self.tools = tools - self.system_message = system_message - self.config = config - self.max_messages = config.get("max_messages", 100) if config else 100 - self.keep_first_messages = config.get("keep_first_messages", 1) if config else 1 - self.store = InMemoryBaseStore() - - # =================================== NODES ==================================== - - # Reasoner node - def reasoner(self, state: GraphState) -> dict[str, Any]: - new_turn = len(state["messages"]) == 0 or isinstance(state["messages"][-1], AIMessage) - messages = state["messages"] - - if new_turn: - query = state["query"] - messages.append(HumanMessage(content=query)) - - result = self.model.invoke([self.system_message, *messages]) - if isinstance(result, AIMessage) and not result.tool_calls: - updated_messages = [*messages, result] - return {"messages": updated_messages, "final_answer": result.content} - - updated_messages = [*messages, result] - return {"messages": updated_messages} - - def summarize_conversation(self, state: GraphState): - """Summarize conversation while preserving key context and recent messages.""" - messages = state["messages"] - keep_first = self.keep_first_messages - target_size = len(messages) // 2 - messages_from_tail = target_size - keep_first - - head = messages[:keep_first] - tail = messages[-messages_from_tail:] - to_summarize = messages[: len(messages) - messages_from_tail] - - # Handle tool message pairing at truncation point - truncation_idx = len(messages) - messages_from_tail - if truncation_idx > 0 and isinstance(messages[truncation_idx], ToolMessage): - # Keep the AI message right before it - tail = [messages[truncation_idx - 1], *tail] - - # Skip if nothing to summarize - if not to_summarize: - return state - - # Define constants - HEADER_WIDTH = 40 - HEADER_TYPES = {"human": "HUMAN", "ai": "AI", "summary": "SUMMARY FROM PREVIOUS TIMESTEP", "tool_call": "TOOL CALL", "tool_response": "TOOL RESPONSE"} - - def format_header(header_type: str) -> str: - """Format message header with consistent padding. - - Args: - header_type: Type of header to format (must be one of HEADER_TYPES) - - Returns: - Formatted header string with padding - """ - header = HEADER_TYPES[header_type] - padding = "=" * ((HEADER_WIDTH - len(header)) // 2) - return f"{padding} {header} {padding}\n" - - # Format messages with appropriate headers - formatted_messages = [] - image_urls = [] # Track image URLs for the summary prompt - - for msg in to_summarize: - if isinstance(msg, HumanMessage): - # Now we know content is always a list - for item in msg.content: - if item.get("type") == "text": - text_content = item.get("text", "") - if text_content: - formatted_messages.append(format_header("human") + text_content) - elif item.get("type") == "image_url": - image_url = item.get("image_url", {}).get("url") - if image_url: - # We are not including any string data in the summary for image. The image will be present itself! - image_urls.append({"type": "image_url", "image_url": {"url": image_url}}) - elif isinstance(msg, AIMessage): - # Check for summary message using additional_kwargs - if msg.additional_kwargs.get("is_summary"): - formatted_messages.append(format_header("summary") + msg.content) - elif isinstance(msg.content, list) and len(msg.content) > 0 and isinstance(msg.content[0], dict): - for item in msg.content: - if item.get("type") == "text": - formatted_messages.append(format_header("ai") + item["text"]) - elif item.get("type") == "tool_use": - formatted_messages.append(format_header("tool_call") + f"Tool: {item['name']}\nInput: {item['input']}") - else: - formatted_messages.append(format_header("ai") + msg.content) - elif isinstance(msg, ToolMessage): - formatted_messages.append(format_header("tool_response") + msg.content) - - conversation = "\n".join(formatted_messages) - - summary_llm = LLM( - model_provider="anthropic", - model_name="claude-3-5-sonnet-latest", - temperature=0.3, - ) - - # Choose template based on whether we have images - summarizer_content = [{"type": "text", "text": SUMMARIZE_CONVERSATION_PROMPT}] - for image_url in image_urls: - summarizer_content.append(image_url) - - chain = ChatPromptTemplate([("human", summarizer_content)]) | summary_llm - new_summary = chain.invoke( - { - "conversation": conversation, - } - ).content - - return {"messages": {"type": "summarize", "summary": new_summary, "tail": tail, "head": head}} - - # =================================== EDGE CONDITIONS ==================================== - def should_continue(self, state: GraphState) -> Literal["tools", "summarize_conversation", END]: - messages = state["messages"] - last_message = messages[-1] - just_summarized = last_message.additional_kwargs.get("just_summarized") - curr_input_tokens = last_message.usage_metadata["input_tokens"] - max_input_tokens = get_max_model_input_tokens(self.model) - - # Summarize if the number of messages passed in exceeds the max_messages threshold (default 100) - if len(messages) > self.max_messages: - return "summarize_conversation" - - # Summarize if the last message exceeds the max input tokens of the model - 10000 tokens - elif isinstance(last_message, AIMessage) and not just_summarized and curr_input_tokens > (max_input_tokens - 30000): - return "summarize_conversation" - - elif hasattr(last_message, "tool_calls") and last_message.tool_calls: - return "tools" - - return END - - # =================================== COMPILE GRAPH ==================================== - def create(self, checkpointer: Optional[MemorySaver] = None, debug: bool = False) -> CompiledGraph: - """Create and compile the graph.""" - builder = StateGraph(GraphState) - - # the retry policy has an initial interval, a backoff factor, and a max interval of controlling the - # amount of time between retries - retry_policy = RetryPolicy( - retry_on=[anthropic.RateLimitError, openai.RateLimitError, anthropic.InternalServerError, anthropic.BadRequestError], - max_attempts=10, - initial_interval=30.0, # Start with 30 second wait - backoff_factor=2, # Double the wait time each retry - max_interval=1000.0, # Cap at 1000 second max wait - jitter=True, - ) - - # Custom error handler for tool validation errors - def handle_tool_errors(exception): - error_msg = str(exception) - - # Extract tool name and input from the exception if possible - tool_name = "unknown" - tool_input = {} - - # Helper function to get field descriptions from any tool - def get_field_descriptions(tool_obj): - field_descriptions = {} - if not tool_obj or not hasattr(tool_obj, "args_schema"): - return field_descriptions - - try: - # Get all field descriptions from the tool - schema_cls = tool_obj.args_schema - - # Handle Pydantic v2 - if hasattr(schema_cls, "model_fields"): - for field_name, field in schema_cls.model_fields.items(): - field_descriptions[field_name] = field.description or f"Required parameter for {tool_obj.name}" - - # Handle Pydantic v1 with warning suppression - elif hasattr(schema_cls, "__fields__"): - import warnings - - with warnings.catch_warnings(): - warnings.filterwarnings("ignore", category=DeprecationWarning) - for field_name, field in schema_cls.__fields__.items(): - field_descriptions[field_name] = field.field_info.description or f"Required parameter for {tool_obj.name}" - except Exception: - pass - - return field_descriptions - - # Try to extract tool name and input from the exception - import re - - tool_match = re.search(r"for (\w+)Input", error_msg) - if tool_match: - # Get the extracted name but preserve original case by finding the matching tool - extracted_name = tool_match.group(1).lower() - for t in self.tools: - if t.name.lower() == extracted_name: - tool_name = t.name # Use the original case from the tool - break - - # Try to extract the input values - input_match = re.search(r"input_value=(\{.*?\})", error_msg) - if input_match: - input_str = input_match.group(1) - # Simple parsing of the dict-like string - try: - # Clean up the string to make it more parseable - input_str = input_str.replace("'", '"') - import json - - tool_input = json.loads(input_str) - except Exception as e: - print(f"Failed to parse tool input: {e}") - - # Handle validation errors with more helpful messages - if "validation error" in error_msg.lower(): - # Find the tool in our tools list to get its schema - tool = next((t for t in self.tools if t.name == tool_name), None) - - # If we couldn't find the tool by extracted name, try to find it by looking at all tools - if tool is None: - # Try to extract tool name from the error message - for t in self.tools: - if t.name.lower() in error_msg.lower(): - tool = t - tool_name = t.name - break - - # If still not found, check if any tool's schema name matches - if tool is None: - for t in self.tools: - if hasattr(t, "args_schema") and t.args_schema.__name__.lower() in error_msg.lower(): - tool = t - tool_name = t.name - break - - # Check for type errors - type_errors = [] - if "type_error" in error_msg.lower(): - import re - - # Try to extract type error information - type_error_matches = re.findall(r"'(\w+)'.*?type_error\.(.*?)(?:;|$)", error_msg, re.IGNORECASE) - for field_name, error_type in type_error_matches: - if "json" in error_type: - type_errors.append(f"'{field_name}' must be a string, not a JSON object or dictionary") - elif "str_type" in error_type: - type_errors.append(f"'{field_name}' must be a string") - elif "int_type" in error_type: - type_errors.append(f"'{field_name}' must be an integer") - elif "bool_type" in error_type: - type_errors.append(f"'{field_name}' must be a boolean") - elif "list_type" in error_type: - type_errors.append(f"'{field_name}' must be a list") - else: - type_errors.append(f"'{field_name}' has an incorrect type") - - if type_errors: - errors_str = "\n- ".join(type_errors) - return f"Error using {tool_name} tool: Parameter type errors:\n- {errors_str}\n\nYou provided: {tool_input}\n\nPlease try again with the correct parameter types." - - # Get missing fields by comparing tool input with required fields - missing_fields = [] - if tool and hasattr(tool, "args_schema"): - try: - # Get the schema class - schema_cls = tool.args_schema - - # Handle Pydantic v2 (preferred) or v1 with warning suppression - if hasattr(schema_cls, "model_fields"): # Pydantic v2 - for field_name, field in schema_cls.model_fields.items(): - # Check if field is required and missing from input - if field.is_required() and field_name not in tool_input: - missing_fields.append(field_name) - else: # Pydantic v1 with warning suppression - import warnings - - with warnings.catch_warnings(): - warnings.filterwarnings("ignore", category=DeprecationWarning) - for field_name, field in schema_cls.__fields__.items(): - # Check if field is required and missing from input - if field.required and field_name not in tool_input: - missing_fields.append(field_name) - except Exception as e: - # If we can't extract schema info, we'll fall back to regex - pass - - # If we couldn't get missing fields from schema, try to extract from error message - if not missing_fields: - # Extract the missing field name if possible using regex - import re - - field_matches = re.findall(r"'(\w+)'(?:\s+|.*?)field required", error_msg, re.IGNORECASE) - if field_matches: - missing_fields = field_matches - else: - # Try another pattern - field_match = re.search(r"(\w+)\s+Field required", error_msg) - if field_match: - missing_fields = [field_match.group(1)] - - # If we have identified missing fields, create a helpful error message - if missing_fields: - fields_str = ", ".join([f"'{f}'" for f in missing_fields]) - - # Get tool documentation if available - tool_docs = "" - if tool: - if hasattr(tool, "description") and tool.description: - tool_docs = f"\nTool description: {tool.description}\n" - - # Try to get parameter descriptions from the schema - param_docs = [] - try: - # Get all field descriptions from the tool - field_descriptions = get_field_descriptions(tool) - - # Add descriptions for missing fields - for field_name in missing_fields: - if field_name in field_descriptions: - param_docs.append(f"- {field_name}: {field_descriptions[field_name]}") - else: - param_docs.append(f"- {field_name}: Required parameter") - - if param_docs: - tool_docs += "\nParameter descriptions:\n" + "\n".join(param_docs) - except Exception: - # Fallback to simple parameter list - param_docs = [f"- {field}: Required parameter" for field in missing_fields] - if param_docs: - tool_docs += "\nMissing parameters:\n" + "\n".join(param_docs) - - # Add usage examples for common tools - example = "" - if tool_name == "create_file": - example = "\nExample: create_file(filepath='path/to/file.py', content='print(\"Hello world\")')" - elif tool_name == "replace_edit": - example = "\nExample: replace_edit(filepath='path/to/file.py', old_text='def old_function()', new_text='def new_function()')" - elif tool_name == "view_file": - example = "\nExample: view_file(filepath='path/to/file.py')" - elif tool_name == "search": - example = "\nExample: search(query='function_name', file_extensions=['.py'])" - - return ( - f"Error using {tool_name} tool: Missing required parameter(s): {fields_str}\n\nYou provided: {tool_input}\n{tool_docs}{example}\nPlease try again with all required parameters." - ) - - # Common error patterns for specific tools (as fallback) - if tool_name == "create_file": - if "content" not in tool_input: - return ( - "Error: When using the create_file tool, you must provide both 'filepath' and 'content' parameters.\n" - "The 'content' parameter is missing. Please try again with both parameters.\n\n" - "Example: create_file(filepath='path/to/file.py', content='print(\"Hello world\")')" - ) - elif "filepath" not in tool_input: - return ( - "Error: When using the create_file tool, you must provide both 'filepath' and 'content' parameters.\n" - "The 'filepath' parameter is missing. Please try again with both parameters.\n\n" - "Example: create_file(filepath='path/to/file.py', content='print(\"Hello world\")')" - ) - - elif tool_name == "replace_edit": - if "filepath" not in tool_input: - return ( - "Error: When using the replace_edit tool, you must provide 'filepath', 'old_text', and 'new_text' parameters.\n" - "The 'filepath' parameter is missing. Please try again with all required parameters." - ) - elif "old_text" not in tool_input: - return ( - "Error: When using the replace_edit tool, you must provide 'filepath', 'old_text', and 'new_text' parameters.\n" - "The 'old_text' parameter is missing. Please try again with all required parameters." - ) - elif "new_text" not in tool_input: - return ( - "Error: When using the replace_edit tool, you must provide 'filepath', 'old_text', and 'new_text' parameters.\n" - "The 'new_text' parameter is missing. Please try again with all required parameters." - ) - - # Generic validation error with better formatting - if tool: - return ( - f"Error using {tool_name} tool: {error_msg}\n\n" - f"You provided these parameters: {tool_input}\n\n" - f"Please check the tool's required parameters and try again with all required fields." - ) - else: - # If we couldn't identify the tool, list all available tools - available_tools = "\n".join([f"- {t.name}" for t in self.tools]) - return f"Error: Could not identify the tool you're trying to use.\n\nAvailable tools:\n{available_tools}\n\nPlease use one of the available tools with the correct parameters." - - # For other types of errors - return f"Error executing tool: {exception!s}\n\nPlease check your tool usage and try again with the correct parameters." - - # Add nodes - builder.add_node("reasoner", self.reasoner, retry=retry_policy) - builder.add_node("tools", CustomToolNode(self.tools, handle_tool_errors=handle_tool_errors), retry=retry_policy) - builder.add_node("summarize_conversation", self.summarize_conversation, retry=retry_policy) - - # Add edges - builder.add_edge(START, "reasoner") - builder.add_edge("tools", "reasoner") - builder.add_conditional_edges( - "reasoner", - self.should_continue, - ) - builder.add_conditional_edges("summarize_conversation", self.should_continue) - - return builder.compile(checkpointer=checkpointer, store=self.store, debug=debug) - - -def create_react_agent( - model: "LLM", - tools: list[BaseTool], - system_message: SystemMessage, - checkpointer: Optional[MemorySaver] = None, - debug: bool = False, - config: Optional[dict[str, Any]] = None, -) -> CompiledGraph: - """Create a reactive agent graph.""" - graph = AgentGraph(model, tools, system_message, config=config) - return graph.create(checkpointer=checkpointer, debug=debug) diff --git a/src/codegen/extensions/langchain/llm.py b/src/codegen/extensions/langchain/llm.py deleted file mode 100644 index dadcf6314..000000000 --- a/src/codegen/extensions/langchain/llm.py +++ /dev/null @@ -1,144 +0,0 @@ -"""LLM implementation supporting both OpenAI and Anthropic models.""" - -import os -from collections.abc import Sequence -from typing import Any, Optional - -from langchain_anthropic import ChatAnthropic -from langchain_core.callbacks import CallbackManagerForLLMRun -from langchain_core.language_models.base import LanguageModelInput -from langchain_core.language_models.chat_models import BaseChatModel -from langchain_core.messages import BaseMessage -from langchain_core.outputs import ChatResult -from langchain_core.runnables import Runnable -from langchain_core.tools import BaseTool -from langchain_openai import ChatOpenAI -from langchain_xai import ChatXAI -from pydantic import Field - - -class LLM(BaseChatModel): - """A unified chat model that supports both OpenAI and Anthropic.""" - - model_provider: str = Field(default="anthropic", description="The model provider to use.") - - model_name: str = Field(default="claude-3-5-sonnet-latest", description="Name of the model to use.") - - temperature: float = Field(default=0, description="Temperature parameter for the model.", ge=0, le=1) - - top_p: Optional[float] = Field(default=None, description="Top-p sampling parameter.", ge=0, le=1) - - top_k: Optional[int] = Field(default=None, description="Top-k sampling parameter.", ge=1) - - max_tokens: Optional[int] = Field(default=None, description="Maximum number of tokens to generate.", ge=1) - - def __init__(self, model_provider: str = "anthropic", model_name: str = "claude-3-5-sonnet-latest", **kwargs: Any) -> None: - """Initialize the LLM. - - Args: - model_provider: "anthropic" or "openai" - model_name: Name of the model to use - **kwargs: Additional configuration options. Supported options: - - temperature: Temperature parameter (0-1) - - top_p: Top-p sampling parameter (0-1) - - top_k: Top-k sampling parameter (>= 1) - - max_tokens: Maximum number of tokens to generate - """ - # Set model provider and name before calling super().__init__ - kwargs["model_provider"] = model_provider - kwargs["model_name"] = model_name - - # Filter out unsupported kwargs - supported_kwargs = {"model_provider", "model_name", "temperature", "top_p", "top_k", "max_tokens", "callbacks", "tags", "metadata"} - filtered_kwargs = {k: v for k, v in kwargs.items() if k in supported_kwargs} - - super().__init__(**filtered_kwargs) - self._model = self._get_model() - - @property - def _llm_type(self) -> str: - """Return identifier for this LLM class.""" - return "unified_chat_model" - - def _get_model_kwargs(self) -> dict[str, Any]: - """Get kwargs for the specific model provider.""" - base_kwargs = { - "temperature": self.temperature, - } - - if self.top_p is not None: - base_kwargs["top_p"] = self.top_p - - if self.top_k is not None: - base_kwargs["top_k"] = self.top_k - - if self.max_tokens is not None: - base_kwargs["max_tokens"] = self.max_tokens - - if self.model_provider == "anthropic": - return {**base_kwargs, "model": self.model_name} - elif self.model_provider == "xai": - xai_api_base = os.getenv("XAI_API_BASE", "https://api.x.ai/v1/") - return {**base_kwargs, "model": self.model_name, "xai_api_base": xai_api_base} - else: # openai - return {**base_kwargs, "model": self.model_name} - - def _get_model(self) -> BaseChatModel: - """Get the appropriate model instance based on configuration.""" - if self.model_provider == "anthropic": - if not os.getenv("ANTHROPIC_API_KEY"): - msg = "ANTHROPIC_API_KEY not found in environment. Please set it in your .env file or environment variables." - raise ValueError(msg) - max_tokens = 8192 - return ChatAnthropic(**self._get_model_kwargs(), max_tokens=max_tokens, max_retries=10, timeout=1000) - - elif self.model_provider == "openai": - if not os.getenv("OPENAI_API_KEY"): - msg = "OPENAI_API_KEY not found in environment. Please set it in your .env file or environment variables." - raise ValueError(msg) - return ChatOpenAI(**self._get_model_kwargs(), max_tokens=4096, max_retries=10, timeout=1000) - - elif self.model_provider == "xai": - if not os.getenv("XAI_API_KEY"): - msg = "XAI_API_KEY not found in environment. Please set it in your .env file or environment variables." - raise ValueError(msg) - return ChatXAI(**self._get_model_kwargs(), max_tokens=12000) - - msg = f"Unknown model provider: {self.model_provider}. Must be one of: anthropic, openai, xai" - raise ValueError(msg) - - def _generate( - self, - messages: list[BaseMessage], - stop: Optional[list[str]] = None, - run_manager: Optional[CallbackManagerForLLMRun] = None, - **kwargs: Any, - ) -> ChatResult: - """Generate chat completion using the underlying model. - - Args: - messages: The messages to generate from - stop: Optional list of stop sequences - run_manager: Optional callback manager for tracking the run - **kwargs: Additional arguments to pass to the model - - Returns: - ChatResult containing the generated completion - """ - return self._model._generate(messages, stop=stop, run_manager=run_manager, **kwargs) - - def bind_tools( - self, - tools: Sequence[BaseTool], - **kwargs: Any, - ) -> Runnable[LanguageModelInput, BaseMessage]: - """Bind tools to the underlying model. - - Args: - tools: List of tools to bind - **kwargs: Additional arguments to pass to the model - - Returns: - Runnable that can be used to invoke the model with tools - """ - return self._model.bind_tools(tools, **kwargs) diff --git a/src/codegen/extensions/langchain/prompts.py b/src/codegen/extensions/langchain/prompts.py deleted file mode 100644 index 3c9ba9744..000000000 --- a/src/codegen/extensions/langchain/prompts.py +++ /dev/null @@ -1,81 +0,0 @@ -REASONER_SYSTEM_MESSAGE = """ - You are an expert software engineer with deep knowledge of code analysis, refactoring, and development best practices. - You have access to a powerful set of tools from codegen that allow you to analyze and modify codebases: - - Core Capabilities: - 1. Code Analysis & Navigation: - - Search codebases using text or regex patterns - - View file contents and metadata (functions, classes, imports) - - Analyze code structure and dependencies - - Reveal symbol definitions and usages - - 2. File Operations: - - View, create, edit, and delete files - - Rename files while updating all imports - - Move symbols between files - - Commit changes to disk - - 3. Semantic Editing: - - Make precise, context-aware code edits - - Analyze affected code structures - - Preview changes before applying - - Ensure code quality with linting - - 4. Code Search: - - Text-based and semantic search - - Search within specific directories - - Filter by file extensions - - Get paginated results - - Best Practices: - - Always analyze code structure before making changes - - Preview edits to understand their impact - - Update imports and dependencies when moving code - - Use semantic edits for complex changes - - Commit changes after significant modifications - - Maintain code quality and consistency - - Remember: You can combine these tools to perform complex refactoring - and development tasks. Always explain your approach before making changes. - Important rules: If you are asked to make any edits to a file, always - first view the file to understand its context and make sure you understand - the impact of the changes. Only then make the changes. - Ensure if specifiying line numbers, it's chosen with room (around 20 - lines before and 20 lines after the edit range) -""" - - -SUMMARIZE_CONVERSATION_PROMPT = """ - You are an expert conversation summarizer. You are given below a conversation between an AI coding agent and a human. - It contains a human request and the agent thought process - alternating from AIMessage, ToolMessage, HumanMessage, etc. - - This AI agent is an expert software engineer with deep knowledge of code analysis, refactoring, and development best practices. - - Your goal as the summarizer is to summarize the conversation between the AI agent and the human in an extremely detailed and comprehensive manner. - - Ensure the summary includes key details of the conversation, such as: - - User's request and context - - Code changes and their impact - - File and directory structure - - Dependencies and imports - - Any errors or exceptions - - User's clarifications and follow-up questions - - File modifications and their impact - - Any other relevant - - IMPORTANT: Your summary must be at least 4000 words long to ensure that you have added a lot of useful information to it. - Ensure your summary is very detailed and comprehensive. It's important to capture all the context of the conversation. - - IMPORTANT: Do not attempt to provide any solutions or any other unnecessary commentary. Your sole job is to summarize the conversation in the most detailed way possible - IMPORTANT: Your summary will be fed back into the LLM to continue the conversation so that it has the context of the conversation instead of having to store the whole history. - That's why your summary does not signal the end of the conversation. It will be used the the agent to further inch towards the goal of solving the user's issue. - - IMPORTANT: The conversation given may include previous summaries generated by you in an earlier time step of the conversation. Use this to your advantage - alongside the conversation to generate a more comprehensive summary of the entire conversation. - - Here is the conversation given below: - - {conversation} - -""" diff --git a/src/codegen/extensions/langchain/tools.py b/src/codegen/extensions/langchain/tools.py deleted file mode 100644 index 0749384a4..000000000 --- a/src/codegen/extensions/langchain/tools.py +++ /dev/null @@ -1,1130 +0,0 @@ -"""Langchain tools for workspace operations.""" - -from collections.abc import Callable -from typing import Annotated, ClassVar, Literal, Optional - -from langchain_core.messages import ToolMessage -from langchain_core.stores import InMemoryBaseStore -from langchain_core.tools import InjectedToolCallId -from langchain_core.tools.base import BaseTool -from langgraph.prebuilt import InjectedStore -from pydantic import BaseModel, Field - -from codegen.extensions.linear.linear_client import LinearClient -from codegen.extensions.tools.bash import run_bash_command -from codegen.extensions.tools.github.checkout_pr import checkout_pr -from codegen.extensions.tools.github.view_pr_checks import view_pr_checks -from codegen.extensions.tools.global_replacement_edit import replacement_edit_global -from codegen.extensions.tools.linear.linear import ( - linear_comment_on_issue_tool, - linear_create_issue_tool, - linear_get_issue_comments_tool, - linear_get_issue_tool, - linear_get_teams_tool, - linear_search_issues_tool, -) -from codegen.extensions.tools.link_annotation import add_links_to_message -from codegen.extensions.tools.reflection import perform_reflection -from codegen.extensions.tools.relace_edit import relace_edit -from codegen.extensions.tools.replacement_edit import replacement_edit -from codegen.extensions.tools.reveal_symbol import reveal_symbol -from codegen.extensions.tools.search import search -from codegen.extensions.tools.search_files_by_name import search_files_by_name -from codegen.extensions.tools.semantic_edit import semantic_edit -from codegen.extensions.tools.semantic_search import semantic_search -from codegen.sdk.core.codebase import Codebase - -from ..tools import ( - commit, - create_file, - create_pr, - create_pr_comment, - create_pr_review_comment, - delete_file, - edit_file, - list_directory, - move_symbol, - rename_file, - view_file, - view_pr, -) -from ..tools.relace_edit_prompts import RELACE_EDIT_PROMPT -from ..tools.semantic_edit_prompts import FILE_EDIT_PROMPT - - -class ViewFileInput(BaseModel): - """Input for viewing a file.""" - - filepath: str = Field(..., description="Path to the file relative to workspace root") - start_line: Optional[int] = Field(None, description="Starting line number to view (1-indexed, inclusive)") - end_line: Optional[int] = Field(None, description="Ending line number to view (1-indexed, inclusive)") - max_lines: Optional[int] = Field(None, description="Maximum number of lines to view at once, defaults to 500") - line_numbers: Optional[bool] = Field(True, description="If True, add line numbers to the content (1-indexed)") - tool_call_id: Annotated[str, InjectedToolCallId] - - -class ViewFileTool(BaseTool): - """Tool for viewing file contents and metadata.""" - - name: ClassVar[str] = "view_file" - description: ClassVar[str] = """View the contents and metadata of a file in the codebase. -For large files (>500 lines), content will be paginated. Use start_line and end_line to navigate through the file. -The response will indicate if there are more lines available to view.""" - args_schema: ClassVar[type[BaseModel]] = ViewFileInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run( - self, - tool_call_id: str, - filepath: str, - start_line: Optional[int] = None, - end_line: Optional[int] = None, - max_lines: Optional[int] = None, - line_numbers: Optional[bool] = True, - ) -> ToolMessage: - result = view_file( - self.codebase, - filepath, - line_numbers=line_numbers if line_numbers is not None else True, - start_line=start_line, - end_line=end_line, - max_lines=max_lines if max_lines is not None else 500, - ) - - return result.render(tool_call_id) - - -class ListDirectoryInput(BaseModel): - """Input for listing directory contents.""" - - dirpath: str = Field(default="./", description="Path to directory relative to workspace root") - depth: int = Field(default=1, description="How deep to traverse. Use -1 for unlimited depth.") - tool_call_id: Annotated[str, InjectedToolCallId] - - -class ListDirectoryTool(BaseTool): - """Tool for listing directory contents.""" - - name: ClassVar[str] = "list_directory" - description: ClassVar[str] = "List contents of a directory in the codebase" - args_schema: ClassVar[type[BaseModel]] = ListDirectoryInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self, tool_call_id: str, dirpath: str = "./", depth: int = 1) -> ToolMessage: - result = list_directory(self.codebase, dirpath, depth) - return result.render(tool_call_id) - - -class SearchInput(BaseModel): - """Input for searching the codebase.""" - - query: str = Field( - ..., - description="""ripgrep query (or regex pattern) to run. For regex searches, set use_regex=True. Ripgrep is the preferred method.""", - ) - file_extensions: list[str] | None = Field(default=None, description="Optional list of file extensions to search (e.g. ['.py', '.ts'])") - page: int = Field(default=1, description="Page number to return (1-based, default: 1)") - files_per_page: int = Field(default=10, description="Number of files to return per page (default: 10)") - use_regex: bool = Field(default=False, description="Whether to treat query as a regex pattern (default: False)") - tool_call_id: Annotated[str, InjectedToolCallId] - - -class RipGrepTool(BaseTool): - """Tool for searching the codebase via RipGrep.""" - - name: ClassVar[str] = "search" - description: ClassVar[str] = "Search the codebase using `ripgrep` or regex pattern matching" - args_schema: ClassVar[type[BaseModel]] = SearchInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self, tool_call_id: str, query: str, file_extensions: Optional[list[str]] = None, page: int = 1, files_per_page: int = 10, use_regex: bool = False) -> ToolMessage: - result = search(self.codebase, query, file_extensions=file_extensions, page=page, files_per_page=files_per_page, use_regex=use_regex) - return result.render(tool_call_id) - - -class EditFileInput(BaseModel): - """Input for editing a file.""" - - filepath: str = Field(..., description="Path to the file to edit") - content: str = Field(..., description="New content for the file") - tool_call_id: Annotated[str, InjectedToolCallId] - - -class EditFileTool(BaseTool): - """Tool for editing files.""" - - name: ClassVar[str] = "edit_file" - description: ClassVar[str] = r""" -Edit a file by replacing its entire content. This tool should only be used for replacing entire file contents. -Input for searching the codebase. - - This tool provides powerful text-based search capabilities across your codebase, - with support for both simple text matching and regular expressions. It uses ripgrep - when available for high-performance searches, falling back to Python's regex engine - when necessary. - - Features: - - Plain text or regex pattern matching - - Directory and file type filtering - - Paginated results for large codebases - - Case-insensitive by default for simple text searches - - Example queries: - 1. Simple text: "function calculateTotal" (matches exactly, case-insensitive) - 2. Regex: "def.*calculate.*\(.*\)" (with use_regex=True) - 3. File-specific: "TODO" with file_extensions=[".py", ".ts"] - """ - args_schema: ClassVar[type[BaseModel]] = EditFileInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self, filepath: str, content: str, tool_call_id: str) -> str: - result = edit_file(self.codebase, filepath, content) - return result.render(tool_call_id) - - -class CreateFileInput(BaseModel): - """Input for creating a file.""" - - model_config = {"arbitrary_types_allowed": True} - filepath: str = Field(..., description="Path where to create the file") - store: Annotated[InMemoryBaseStore, InjectedStore()] - content: str = Field( - default="", - description=""" -Content for the new file. - -⚠️ IMPORTANT: This parameter MUST be a STRING, not a dictionary, JSON object, or any other data type. -Example: content="print('Hello world')" -NOT: content={"code": "print('Hello world')"} - """, - ) - - -class CreateFileTool(BaseTool): - """Tool for creating files.""" - - name: ClassVar[str] = "create_file" - description: ClassVar[str] = """ -Create a new file in the codebase. - -1. filepath: The path where to create the file (as a string) -2. content: The content for the new file (as a STRING, NOT as a dictionary or JSON object) - -βœ… CORRECT usage: -create_file(filepath="path/to/file.py", content="print('Hello world')") -If you receive a validation error about -missing content, you are likely trying to pass a dictionary instead of a string. -""" - args_schema: ClassVar[type[BaseModel]] = CreateFileInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self, filepath: str, store: InMemoryBaseStore, content: str = "") -> str: - create_file_tool_status = store.mget([self.name])[0] - if create_file_tool_status and create_file_tool_status.get("max_tokens_reached", False): - max_tokens = create_file_tool_status.get("max_tokens", None) - store.mset([(self.name, {"max_tokens": max_tokens, "max_tokens_reached": False})]) - result = create_file(self.codebase, filepath, content, max_tokens=max_tokens) - else: - result = create_file(self.codebase, filepath, content) - - return result.render() - - -class DeleteFileInput(BaseModel): - """Input for deleting a file.""" - - filepath: str = Field(..., description="Path to the file to delete") - - -class DeleteFileTool(BaseTool): - """Tool for deleting files.""" - - name: ClassVar[str] = "delete_file" - description: ClassVar[str] = "Delete a file from the codebase" - args_schema: ClassVar[type[BaseModel]] = DeleteFileInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self, filepath: str) -> str: - result = delete_file(self.codebase, filepath) - return result.render() - - -class CommitTool(BaseTool): - """Tool for committing changes.""" - - name: ClassVar[str] = "commit" - description: ClassVar[str] = "Commit any pending changes to disk" - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self) -> str: - result = commit(self.codebase) - return result.render() - - -class RevealSymbolInput(BaseModel): - """Input for revealing symbol relationships.""" - - symbol_name: str = Field(..., description="Name of the symbol to analyze") - degree: int = Field(default=1, description="How many degrees of separation to traverse") - max_tokens: int | None = Field( - default=None, - description="Optional maximum number of tokens for all source code combined", - ) - collect_dependencies: bool = Field(default=True, description="Whether to collect dependencies") - collect_usages: bool = Field(default=True, description="Whether to collect usages") - - -class RevealSymbolTool(BaseTool): - """Tool for revealing symbol relationships.""" - - name: ClassVar[str] = "reveal_symbol" - description: ClassVar[str] = "Reveal the dependencies and usages of a symbol up to N degrees" - args_schema: ClassVar[type[BaseModel]] = RevealSymbolInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run( - self, - symbol_name: str, - degree: int = 1, - max_tokens: int | None = None, - collect_dependencies: bool = True, - collect_usages: bool = True, - ) -> str: - result = reveal_symbol( - codebase=self.codebase, - symbol_name=symbol_name, - max_depth=degree, - max_tokens=max_tokens, - collect_dependencies=collect_dependencies, - collect_usages=collect_usages, - ) - return result.render() - - -# Note: a large file is over 300 lines. Please specify a range larger than the edit you want to make. -_SEMANTIC_EDIT_BRIEF = """Tool for file editing via an LLM delegate. Describe the changes you want to make and an expert will apply them to the file. - -Specify the changes you want to make in the edit_content field, with helpful comments, like so: -``` -# ... existing code ... - -# edit: change function name and body -def function_redefinition(): - return 'new_function_body' - -# ... existing code ... -``` - -Another agent will be responsible for applying your edit and will only see the `edit_content` and the range you specify, so be clear what you are looking to change. - -For large files, specify a range slightly larger than the edit you want to make, and be clear in your description what should and shouldn't change. -""" - - -class SemanticEditInput(BaseModel): - """Input for semantic editing.""" - - filepath: str = Field(..., description="Path of the file relative to workspace root") - edit_content: str = Field(..., description=FILE_EDIT_PROMPT) - start: int = Field(default=1, description="Starting line number (1-indexed, inclusive). Default is 1.") - end: int = Field(default=-1, description="Ending line number (1-indexed, inclusive). Default is -1 (end of file).") - tool_call_id: Annotated[str, InjectedToolCallId] - - -class SemanticEditTool(BaseTool): - """Tool for semantic editing of files.""" - - name: ClassVar[str] = "semantic_edit" - description: ClassVar[str] = _SEMANTIC_EDIT_BRIEF # Short description - args_schema: ClassVar[type[BaseModel]] = SemanticEditInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self, filepath: str, tool_call_id: str, edit_content: str, start: int = 1, end: int = -1) -> ToolMessage: - # Create the the draft editor mini llm - result = semantic_edit(self.codebase, filepath, edit_content, start=start, end=end) - return result.render(tool_call_id) - - -class RenameFileInput(BaseModel): - """Input for renaming a file.""" - - filepath: str = Field(..., description="Current path of the file relative to workspace root") - new_filepath: str = Field(..., description="New path for the file relative to workspace root") - - -class RenameFileTool(BaseTool): - """Tool for renaming files and updating imports.""" - - name: ClassVar[str] = "rename_file" - description: ClassVar[str] = "Rename a file and update all imports to point to the new location" - args_schema: ClassVar[type[BaseModel]] = RenameFileInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self, filepath: str, new_filepath: str) -> str: - result = rename_file(self.codebase, filepath, new_filepath) - return result.render() - - -class MoveSymbolInput(BaseModel): - """Input for moving a symbol between files.""" - - source_file: str = Field(..., description="Path to the file containing the symbol") - symbol_name: str = Field(..., description="Name of the symbol to move") - target_file: str = Field(..., description="Path to the destination file") - strategy: Literal["update_all_imports", "add_back_edge"] = Field( - default="update_all_imports", - description="Strategy for handling imports: 'update_all_imports' (default) or 'add_back_edge'", - ) - include_dependencies: bool = Field(default=True, description="Whether to move dependencies along with the symbol") - - -class MoveSymbolTool(BaseTool): - """Tool for moving symbols between files.""" - - name: ClassVar[str] = "move_symbol" - description: ClassVar[str] = "Move a symbol from one file to another, with configurable import handling" - args_schema: ClassVar[type[BaseModel]] = MoveSymbolInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run( - self, - source_file: str, - symbol_name: str, - target_file: str, - strategy: Literal["update_all_imports", "add_back_edge"] = "update_all_imports", - include_dependencies: bool = True, - ) -> str: - result = move_symbol( - self.codebase, - source_file, - symbol_name, - target_file, - strategy=strategy, - include_dependencies=include_dependencies, - ) - return result.render() - - -class SemanticSearchInput(BaseModel): - """Input for Semantic search of a codebase""" - - query: str = Field(..., description="The natural language search query") - k: int = Field(default=5, description="Number of results to return") - preview_length: int = Field(default=200, description="Length of content preview in characters") - - -class SemanticSearchTool(BaseTool): - """Tool for semantic code search.""" - - name: ClassVar[str] = "semantic_search" - description: ClassVar[str] = "Search the codebase using natural language queries and semantic similarity" - args_schema: ClassVar[type[BaseModel]] = SemanticSearchInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self, query: str, k: int = 5, preview_length: int = 200) -> str: - result = semantic_search(self.codebase, query, k=k, preview_length=preview_length) - return result.render() - - -######################################################################################################################## -# BASH -######################################################################################################################## - - -class RunBashCommandInput(BaseModel): - """Input for running a bash command.""" - - command: str = Field(..., description="The command to run") - is_background: bool = Field(default=False, description="Whether to run the command in the background") - - -class RunBashCommandTool(BaseTool): - """Tool for running bash commands.""" - - name: ClassVar[str] = "run_bash_command" - description: ClassVar[str] = "Run a bash command and return its output" - args_schema: ClassVar[type[BaseModel]] = RunBashCommandInput - - def _run(self, command: str, is_background: bool = False) -> str: - result = run_bash_command(command, is_background) - return result.render() - - -######################################################################################################################## -# GITHUB -######################################################################################################################## - - -class GithubCreatePRInput(BaseModel): - """Input for creating a PR""" - - title: str = Field(..., description="The title of the PR") - body: str = Field(..., description="The body of the PR") - - -class GithubCreatePRTool(BaseTool): - """Tool for creating a PR.""" - - name: ClassVar[str] = "create_pr" - description: ClassVar[str] = "Create a PR for the current branch" - args_schema: ClassVar[type[BaseModel]] = GithubCreatePRInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self, title: str, body: str) -> str: - result = create_pr(self.codebase, title, body) - return result.render() - - -class GithubSearchIssuesInput(BaseModel): - """Input for searching GitHub issues.""" - - query: str = Field(..., description="Search query string to find issues") - - -class GithubSearchIssuesTool(BaseTool): - """Tool for searching GitHub issues.""" - - name: ClassVar[str] = "search_issues" - description: ClassVar[str] = "Search for GitHub issues/PRs using a query string from pygithub, e.g. 'is:pr is:open test_query'" - args_schema: ClassVar[type[BaseModel]] = GithubSearchIssuesInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self, query: str) -> str: - result = search(self.codebase, query) - return result.render() - - -class GithubViewPRInput(BaseModel): - """Input for getting PR contents.""" - - pr_id: int = Field(..., description="Number of the PR to get the contents for") - - -class GithubViewPRTool(BaseTool): - """Tool for getting PR data.""" - - name: ClassVar[str] = "view_pr" - description: ClassVar[str] = "View the diff and associated context for a pull request" - args_schema: ClassVar[type[BaseModel]] = GithubViewPRInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self, pr_id: int) -> str: - result = view_pr(self.codebase, pr_id) - return result.render() - - -class GithubCheckoutPRInput(BaseModel): - """Input for checkout out a PR head branch.""" - - pr_number: int = Field(..., description="Number of the PR to checkout") - - -class GithubCheckoutPRTool(BaseTool): - """Tool for checking out a PR head branch.""" - - name: ClassVar[str] = "checkout_pr" - description: ClassVar[str] = "Checkout out a PR head branch" - args_schema: ClassVar[type[BaseModel]] = GithubCheckoutPRInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self, pr_number: int) -> str: - result = checkout_pr(self.codebase, pr_number) - return result.render() - - -class GithubCreatePRCommentInput(BaseModel): - """Input for creating a PR comment""" - - pr_number: int = Field(..., description="The PR number to comment on") - body: str = Field(..., description="The comment text") - - -class GithubCreatePRCommentTool(BaseTool): - """Tool for creating a general PR comment.""" - - name: ClassVar[str] = "create_pr_comment" - description: ClassVar[str] = "Create a general comment on a pull request" - args_schema: ClassVar[type[BaseModel]] = GithubCreatePRCommentInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self, pr_number: int, body: str) -> str: - result = create_pr_comment(self.codebase, pr_number, body) - return result.render() - - -class GithubCreatePRReviewCommentInput(BaseModel): - """Input for creating an inline PR review comment""" - - pr_number: int = Field(..., description="The PR number to comment on") - body: str = Field(..., description="The comment text") - commit_sha: str = Field(..., description="The commit SHA to attach the comment to") - path: str = Field(..., description="The file path to comment on") - line: int = Field(..., description="The line number to comment on use the indices from the diff") - start_line: int | None = Field(None, description="For multi-line comments, the starting line") - - -class GithubCreatePRReviewCommentTool(BaseTool): - """Tool for creating inline PR review comments.""" - - name: ClassVar[str] = "create_pr_review_comment" - description: ClassVar[str] = "Create an inline review comment on a specific line in a pull request" - args_schema: ClassVar[type[BaseModel]] = GithubCreatePRReviewCommentInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run( - self, - pr_number: int, - body: str, - commit_sha: str, - path: str, - line: int, - start_line: int | None = None, - ) -> str: - result = create_pr_review_comment( - self.codebase, - pr_number=pr_number, - body=body, - commit_sha=commit_sha, - path=path, - line=line, - ) - return result.render() - - -class GithubViewPRCheckInput(BaseModel): - """Input for viewing PR checks""" - - pr_number: int = Field(..., description="The PR number to view checks for") - - -class GithubViewPRCheckTool(BaseTool): - """Tool for viewing PR checks.""" - - name: ClassVar[str] = "view_pr_checks" - description: ClassVar[str] = "View the check suites for a PR" - args_schema: ClassVar[type[BaseModel]] = GithubCreatePRReviewCommentInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self, pr_number: int) -> str: - result = view_pr_checks(self.codebase, pr_number=pr_number) - return result.render() - - -######################################################################################################################## -# LINEAR -######################################################################################################################## - - -class LinearGetIssueInput(BaseModel): - """Input for getting a Linear issue.""" - - issue_id: str = Field(..., description="ID of the Linear issue to retrieve") - - -class LinearGetIssueTool(BaseTool): - """Tool for getting Linear issue details.""" - - name: ClassVar[str] = "linear_get_issue" - description: ClassVar[str] = "Get details of a Linear issue by its ID" - args_schema: ClassVar[type[BaseModel]] = LinearGetIssueInput - client: LinearClient = Field(exclude=True) - - def __init__(self, client: LinearClient) -> None: - super().__init__(client=client) - - def _run(self, issue_id: str) -> str: - result = linear_get_issue_tool(self.client, issue_id) - return result.render() - - -class LinearGetIssueCommentsInput(BaseModel): - """Input for getting Linear issue comments.""" - - issue_id: str = Field(..., description="ID of the Linear issue to get comments for") - - -class LinearGetIssueCommentsTool(BaseTool): - """Tool for getting Linear issue comments.""" - - name: ClassVar[str] = "linear_get_issue_comments" - description: ClassVar[str] = "Get all comments on a Linear issue" - args_schema: ClassVar[type[BaseModel]] = LinearGetIssueCommentsInput - client: LinearClient = Field(exclude=True) - - def __init__(self, client: LinearClient) -> None: - super().__init__(client=client) - - def _run(self, issue_id: str) -> str: - result = linear_get_issue_comments_tool(self.client, issue_id) - return result.render() - - -class LinearCommentOnIssueInput(BaseModel): - """Input for commenting on a Linear issue.""" - - issue_id: str = Field(..., description="ID of the Linear issue to comment on") - body: str = Field(..., description="The comment text") - - -class LinearCommentOnIssueTool(BaseTool): - """Tool for commenting on Linear issues.""" - - name: ClassVar[str] = "linear_comment_on_issue" - description: ClassVar[str] = "Add a comment to a Linear issue" - args_schema: ClassVar[type[BaseModel]] = LinearCommentOnIssueInput - client: LinearClient = Field(exclude=True) - - def __init__(self, client: LinearClient) -> None: - super().__init__(client=client) - - def _run(self, issue_id: str, body: str) -> str: - result = linear_comment_on_issue_tool(self.client, issue_id, body) - return result.render() - - -class LinearSearchIssuesInput(BaseModel): - """Input for searching Linear issues.""" - - query: str = Field(..., description="Search query string") - limit: int = Field(default=10, description="Maximum number of issues to return") - - -class LinearSearchIssuesTool(BaseTool): - """Tool for searching Linear issues.""" - - name: ClassVar[str] = "linear_search_issues" - description: ClassVar[str] = "Search for Linear issues using a query string" - args_schema: ClassVar[type[BaseModel]] = LinearSearchIssuesInput - client: LinearClient = Field(exclude=True) - - def __init__(self, client: LinearClient) -> None: - super().__init__(client=client) - - def _run(self, query: str, limit: int = 10) -> str: - result = linear_search_issues_tool(self.client, query, limit) - return result.render() - - -class LinearCreateIssueInput(BaseModel): - """Input for creating a Linear issue.""" - - title: str = Field(..., description="Title of the issue") - description: str | None = Field(None, description="Optional description of the issue") - team_id: str | None = Field(None, description="Optional team ID. If not provided, uses the default team_id (recommended)") - - -class LinearCreateIssueTool(BaseTool): - """Tool for creating Linear issues.""" - - name: ClassVar[str] = "linear_create_issue" - description: ClassVar[str] = "Create a new Linear issue" - args_schema: ClassVar[type[BaseModel]] = LinearCreateIssueInput - client: LinearClient = Field(exclude=True) - - def __init__(self, client: LinearClient) -> None: - super().__init__(client=client) - - def _run(self, title: str, description: str | None = None, team_id: str | None = None) -> str: - result = linear_create_issue_tool(self.client, title, description, team_id) - return result.render() - - -class LinearGetTeamsTool(BaseTool): - """Tool for getting Linear teams.""" - - name: ClassVar[str] = "linear_get_teams" - description: ClassVar[str] = "Get all Linear teams the authenticated user has access to" - client: LinearClient = Field(exclude=True) - - def __init__(self, client: LinearClient) -> None: - super().__init__(client=client) - - def _run(self) -> str: - result = linear_get_teams_tool(self.client) - return result.render() - - -######################################################################################################################## -# SLACK -######################################################################################################################## - - -class SlackSendMessageInput(BaseModel): - """Input for sending a message to Slack.""" - - content: str = Field(..., description="Message to send to Slack") - - -class SlackSendMessageTool(BaseTool): - """Tool for sending a message to Slack.""" - - name: ClassVar[str] = "send_slack_message" - description: ClassVar[str] = ( - "Send a message via Slack." - "Write symbol names (classes, functions, etc.) or full filepaths in single backticks and they will be auto-linked to the code." - "Use Slack-style markdown for other links." - ) - args_schema: ClassVar[type[BaseModel]] = SlackSendMessageInput - say: Callable[[str], None] = Field(exclude=True) - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase, say: Callable[[str], None]) -> None: - super().__init__(say=say, codebase=codebase) - self.say = say - self.codebase = codebase - - def _run(self, content: str) -> str: - # TODO - pull this out into a separate function - print("> Adding links to message") - content_formatted = add_links_to_message(content, self.codebase) - print("> Sending message to Slack") - self.say(content_formatted) - return "βœ… Message sent successfully" - - -######################################################################################################################## -# EXPORT -######################################################################################################################## - - -def get_workspace_tools(codebase: Codebase) -> list["BaseTool"]: - """Get all workspace tools initialized with a codebase. - - Args: - codebase: The codebase to operate on - - Returns: - List of initialized Langchain tools - """ - return [ - CommitTool(codebase), - CreateFileTool(codebase), - DeleteFileTool(codebase), - EditFileTool(codebase), - GithubViewPRTool(codebase), - ListDirectoryTool(codebase), - MoveSymbolTool(codebase), - RenameFileTool(codebase), - ReplacementEditTool(codebase), - RevealSymbolTool(codebase), - GlobalReplacementEditTool(codebase), - RunBashCommandTool(), # Note: This tool doesn't need the codebase - RipGrepTool(codebase), - SearchFilesByNameTool(codebase), - # SemanticEditTool(codebase), - # SemanticSearchTool(codebase), - ViewFileTool(codebase), - RelaceEditTool(codebase), - ReflectionTool(codebase), - # Github - GithubCreatePRTool(codebase), - GithubCreatePRCommentTool(codebase), - GithubCreatePRReviewCommentTool(codebase), - GithubViewPRTool(codebase), - GithubSearchIssuesTool(codebase), - # Linear - LinearGetIssueTool(codebase), - LinearGetIssueCommentsTool(codebase), - LinearCommentOnIssueTool(codebase), - LinearSearchIssuesTool(codebase), - LinearCreateIssueTool(codebase), - LinearGetTeamsTool(codebase), - ] - - -class GlobalReplacementEditInput(BaseModel): - """Input for replacement editing across the entire codebase.""" - - file_pattern: str = Field( - default="*", - description=("Glob pattern to match files that should be edited. Supports all Python glob syntax including wildcards (*, ?, **)"), - ) - pattern: str = Field( - ..., - description=( - "Regular expression pattern to match text that should be replaced. " - "Supports all Python regex syntax including capture groups (\\1, \\2, etc). " - "The pattern is compiled with re.MULTILINE flag by default." - ), - ) - replacement: str = Field( - ..., - description=( - "Text to replace matched patterns with. Can reference regex capture groups using \\1, \\2, etc. If using regex groups in pattern, make sure to preserve them in replacement if needed." - ), - ) - count: int | None = Field( - default=None, - description=( - "Maximum number of replacements to make. " - "Use None to replace all occurrences (default), or specify a number to limit replacements. " - "Useful when you only want to replace the first N occurrences." - ), - ) - - -class GlobalReplacementEditTool(BaseTool): - """Tool for regex-based replacement editing of files across the entire codebase. - - Use this to make a change across an entire codebase if you have a regex pattern that matches the text you want to replace and are trying to edit a large number of files. - """ - - name: ClassVar[str] = "global_replace" - description: ClassVar[str] = "Replace text in the entire codebase using regex pattern matching." - args_schema: ClassVar[type[BaseModel]] = GlobalReplacementEditInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run( - self, - file_pattern: str, - pattern: str, - replacement: str, - count: int | None = None, - ) -> str: - result = replacement_edit_global(self.codebase, file_pattern, pattern, replacement, count) - return result.render() - - -class ReplacementEditInput(BaseModel): - """Input for replacement editing.""" - - filepath: str = Field( - ..., - description=("Path to the file to edit relative to the workspace root. The file must exist and be a text file."), - ) - pattern: str = Field( - ..., - description=( - "Regular expression pattern to match text that should be replaced. " - "Supports all Python regex syntax including capture groups (\\1, \\2, etc). " - "The pattern is compiled with re.MULTILINE flag by default." - ), - ) - replacement: str = Field( - ..., - description=( - "Text to replace matched patterns with. Can reference regex capture groups using \\1, \\2, etc. If using regex groups in pattern, make sure to preserve them in replacement if needed." - ), - ) - start: int = Field( - default=1, - description=("Starting line number (1-indexed, inclusive) to begin replacements from. Use this with 'end' to limit changes to a specific region. Default is 1 (start of file)."), - ) - end: int = Field( - default=-1, - description=( - "Ending line number (1-indexed, inclusive) to stop replacements at. " - "Use -1 to indicate end of file. Use this with 'start' to limit changes to a specific region. " - "Default is -1 (end of file)." - ), - ) - count: int | None = Field( - default=None, - description=( - "Maximum number of replacements to make. " - "Use None to replace all occurrences (default), or specify a number to limit replacements. " - "Useful when you only want to replace the first N occurrences." - ), - ) - - -class ReplacementEditTool(BaseTool): - """Tool for regex-based replacement editing of files.""" - - name: ClassVar[str] = "replace" - description: ClassVar[str] = "Replace text in a file using regex pattern matching. For files over 300 lines, specify a line range." - args_schema: ClassVar[type[BaseModel]] = ReplacementEditInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run( - self, - filepath: str, - pattern: str, - replacement: str, - start: int = 1, - end: int = -1, - count: int | None = None, - ) -> str: - result = replacement_edit( - self.codebase, - filepath=filepath, - pattern=pattern, - replacement=replacement, - start=start, - end=end, - count=count, - ) - return result.render() - - -# Brief description for the Relace Edit tool -_RELACE_EDIT_BRIEF = """Tool for file editing using the Relace Instant Apply API. -This high-speed code generation engine optimizes for real-time performance at 2000 tokens/second. - -Provide an edit snippet that describes the changes you want to make, with helpful comments to indicate unchanged sections, like so: -``` -// ... keep existing imports ... - -// Add new function -function calculateDiscount(price, discountPercent) { - return price * (discountPercent / 100); -} - -// ... keep existing code ... -``` - -The API will merge your edit snippet with the existing code to produce the final result. -The API key will be automatically retrieved from the RELACE_API environment variable. -""" - - -class RelaceEditInput(BaseModel): - """Input for Relace editing.""" - - filepath: str = Field(..., description="Path of the file relative to workspace root") - edit_snippet: str = Field(..., description=RELACE_EDIT_PROMPT) - tool_call_id: Annotated[str, InjectedToolCallId] - - -class RelaceEditTool(BaseTool): - """Tool for editing files using the Relace Instant Apply API.""" - - name: ClassVar[str] = "relace_edit" - description: ClassVar[str] = _RELACE_EDIT_BRIEF - args_schema: ClassVar[type[BaseModel]] = RelaceEditInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run(self, filepath: str, edit_snippet: str, tool_call_id: str) -> ToolMessage: - result = relace_edit(self.codebase, filepath, edit_snippet) - return result.render(tool_call_id=tool_call_id) - - -class ReflectionInput(BaseModel): - """Input for agent reflection.""" - - context_summary: str = Field(..., description="Summary of the current context and problem being solved") - findings_so_far: str = Field(..., description="Key information and insights gathered so far") - current_challenges: str = Field(default="", description="Current obstacles or questions that need to be addressed") - reflection_focus: str | None = Field(default=None, description="Optional specific aspect to focus reflection on (e.g., 'architecture', 'performance', 'next steps')") - - -class ReflectionTool(BaseTool): - """Tool for agent self-reflection and planning.""" - - name: ClassVar[str] = "reflect" - description: ClassVar[str] = """ - Reflect on current understanding and plan next steps. - This tool helps organize thoughts, identify knowledge gaps, and create a strategic plan. - Use this when you need to consolidate information or when facing complex decisions. - """ - args_schema: ClassVar[type[BaseModel]] = ReflectionInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase) -> None: - super().__init__(codebase=codebase) - - def _run( - self, - context_summary: str, - findings_so_far: str, - current_challenges: str = "", - reflection_focus: str | None = None, - ) -> str: - result = perform_reflection(context_summary=context_summary, findings_so_far=findings_so_far, current_challenges=current_challenges, reflection_focus=reflection_focus, codebase=self.codebase) - - return result.render() - - -class SearchFilesByNameInput(BaseModel): - """Input for searching files by name pattern.""" - - pattern: str = Field(..., description="`fd`-compatible glob pattern to search for (e.g. '*.py', 'test_*.py')") - page: int = Field(default=1, description="Page number to return (1-based)") - files_per_page: int | float = Field(default=10, description="Number of files per page to return, use math.inf to return all files") - - -class SearchFilesByNameTool(BaseTool): - """Tool for searching files by filename across a codebase.""" - - name: ClassVar[str] = "search_files_by_name" - description: ClassVar[str] = """ -Search for files and directories by glob pattern (with pagination) across the active codebase. This is useful when you need to: -- Find specific file types (e.g., '*.py', '*.tsx') -- Locate configuration files (e.g., 'package.json', 'requirements.txt') -- Find files with specific names (e.g., 'README.md', 'Dockerfile') -""" - args_schema: ClassVar[type[BaseModel]] = SearchFilesByNameInput - codebase: Codebase = Field(exclude=True) - - def __init__(self, codebase: Codebase): - super().__init__(codebase=codebase) - - def _run(self, pattern: str, page: int = 1, files_per_page: int | float = 10) -> str: - """Execute the glob pattern search using fd.""" - return search_files_by_name(self.codebase, pattern, page=page, files_per_page=files_per_page).render() diff --git a/src/codegen/extensions/langchain/utils/__init__.py b/src/codegen/extensions/langchain/utils/__init__.py deleted file mode 100644 index ece509d57..000000000 --- a/src/codegen/extensions/langchain/utils/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from codegen.extensions.langchain.utils.get_langsmith_url import find_and_print_langsmith_run_url, get_langsmith_url - -__all__ = ["find_and_print_langsmith_run_url", "get_langsmith_url"] diff --git a/src/codegen/extensions/langchain/utils/custom_tool_node.py b/src/codegen/extensions/langchain/utils/custom_tool_node.py deleted file mode 100644 index bdbe4ab0e..000000000 --- a/src/codegen/extensions/langchain/utils/custom_tool_node.py +++ /dev/null @@ -1,43 +0,0 @@ -from typing import Any, Literal, Optional, Union - -from langchain_core.messages import ( - AIMessage, - AnyMessage, - ToolCall, -) -from langchain_core.stores import InMemoryBaseStore -from langgraph.prebuilt import ToolNode -from pydantic import BaseModel - - -class CustomToolNode(ToolNode): - """Extended ToolNode that detects truncated tool calls.""" - - def _parse_input( - self, - input: Union[ - list[AnyMessage], - dict[str, Any], - BaseModel, - ], - store: Optional[InMemoryBaseStore], - ) -> tuple[list[ToolCall], Literal["list", "dict", "tool_calls"]]: - """Parse the input and check for truncated tool calls.""" - messages = input.get("messages", []) - if isinstance(messages, list): - if isinstance(messages[-1], AIMessage): - response_metadata = messages[-1].response_metadata - # Check if the stop reason is due to max tokens - if response_metadata.get("stop_reason") == "max_tokens": - # Check if the response metadata contains usage information - if "usage" not in response_metadata or "output_tokens" not in response_metadata["usage"]: - msg = "Response metadata is missing usage information." - raise ValueError(msg) - - output_tokens = response_metadata["usage"]["output_tokens"] - for tool_call in messages[-1].tool_calls: - if tool_call.get("name") == "create_file": - # Set the max tokens and max tokens reached flag in the store - store.mset([(tool_call["name"], {"max_tokens": output_tokens, "max_tokens_reached": True})]) - - return super()._parse_input(input, store) diff --git a/src/codegen/extensions/langchain/utils/get_langsmith_url.py b/src/codegen/extensions/langchain/utils/get_langsmith_url.py deleted file mode 100644 index fb4fab0e7..000000000 --- a/src/codegen/extensions/langchain/utils/get_langsmith_url.py +++ /dev/null @@ -1,101 +0,0 @@ -import datetime -from typing import Optional - -from langsmith import Client - - -def get_langsmith_url(client: Client, run_id: str, project_name: Optional[str] = None) -> str: - """Get the URL for a run in LangSmith. - - Args: - client: The LangSmith client - run_id: The ID of the run - project_name: Optional name of the project - - Returns: - The URL for the run in LangSmith - """ - # Construct the URL directly using the host URL and run ID - # This avoids the issue with the client's get_run_url method expecting a run object - host_url = client._host_url - tenant_id = client._get_tenant_id() - - try: - # Get the project ID from the project name - if project_name is not None: - project_id = client.read_project(project_name=project_name).id - # Construct the URL - return f"{host_url}/o/{tenant_id}/projects/p/{project_id}/r/{run_id}?poll=true" - else: - # If project_name is not provided, construct a URL without it - return f"{host_url}/o/{tenant_id}/r/{run_id}?poll=true" - except Exception as e: - # If we can't get the project ID, construct a URL without it - print(f"Could not get project ID for {project_name}: {e}") - return f"{host_url}/o/{tenant_id}/r/{run_id}?poll=true" - - -def find_and_print_langsmith_run_url(client: Client, project_name: Optional[str] = None) -> Optional[str]: - """Find the most recent LangSmith run and print its URL. - - Args: - client: The LangSmith client - project_name: Optional name of the project - - Returns: - The URL for the run in LangSmith if found, None otherwise - """ - separator = "=" * 60 - - try: - # Get the most recent runs with proper filter parameters - # We need to provide at least one filter parameter as required by the API - recent_runs = list( - client.list_runs( - # Use the project name from environment variable - project_name=project_name, - # Limit to just the most recent run - limit=1, - ) - ) - - if recent_runs and len(recent_runs) > 0: - # Make sure we have a valid run object with an id attribute - if hasattr(recent_runs[0], "id"): - # Convert the ID to string to ensure it's in the right format - run_id = str(recent_runs[0].id) - - # Get the run URL using the run_id parameter - run_url = get_langsmith_url(client, run_id=run_id, project_name=project_name) - - print(f"\n{separator}\nπŸ” LangSmith Run URL: {run_url}\n{separator}") - return run_url - else: - print(f"\n{separator}\nRun object has no 'id' attribute: {recent_runs[0]}\n{separator}") - return None - else: - # If no runs found with project name, try a more general approach - # Use a timestamp filter to get recent runs (last 10 minutes) - ten_minutes_ago = datetime.datetime.now() - datetime.timedelta(minutes=10) - - recent_runs = list(client.list_runs(start_time=ten_minutes_ago.isoformat(), limit=1)) - - if recent_runs and len(recent_runs) > 0 and hasattr(recent_runs[0], "id"): - # Convert the ID to string to ensure it's in the right format - run_id = str(recent_runs[0].id) - - # Get the run URL using the run_id parameter - run_url = get_langsmith_url(client, run_id=run_id, project_name=project_name) - - print(f"\n{separator}\nπŸ” LangSmith Run URL: {run_url}\n{separator}") - return run_url - else: - print(f"\n{separator}\nNo valid runs found\n{separator}") - return None - except Exception as e: - print(f"\n{separator}\nCould not retrieve LangSmith URL: {e}") - import traceback - - print(traceback.format_exc()) - print(separator) - return None diff --git a/src/codegen/extensions/langchain/utils/utils.py b/src/codegen/extensions/langchain/utils/utils.py deleted file mode 100644 index 81641c39c..000000000 --- a/src/codegen/extensions/langchain/utils/utils.py +++ /dev/null @@ -1,21 +0,0 @@ -from langchain_core.language_models import LLM - - -def get_max_model_input_tokens(llm: LLM) -> int: - """Get the maximum input tokens for the current model. - - Returns: - int: Maximum number of input tokens supported by the model - """ - # For Claude models not explicitly listed, if model name contains "claude", use Claude's limit - if "claude" in llm.model.lower(): - return 200000 - # For GPT-4 models - elif "gpt-4" in llm.model.lower(): - return 128000 - # For Grok models - elif "grok" in llm.model.lower(): - return 1000000 - - # default to gpt as it's lower bound - return 128000 diff --git a/src/codegen/extensions/mcp/codebase_agent.py b/src/codegen/extensions/mcp/codebase_agent.py deleted file mode 100644 index 6be678ba6..000000000 --- a/src/codegen/extensions/mcp/codebase_agent.py +++ /dev/null @@ -1,56 +0,0 @@ -import os -from typing import Annotated - -from mcp.server.fastmcp import FastMCP - -from codegen.extensions.langchain.agent import create_codebase_inspector_agent -from codegen.sdk.core.codebase import Codebase -from codegen.shared.enums.programming_language import ProgrammingLanguage - -# Initialize FastMCP server - -mcp = FastMCP( - "codebase-agent-mcp", - instructions="""Use this server to access any information from your codebase. This tool can provide information ranging from AST Symbol details and information from across the codebase. - Use this tool for all questions, queries regarding your codebase.""", -) - - -@mcp.tool(name="query_codebase", description="Query your codebase for information about symbols, dependencies, files, anything") -def query_codebase( - query: Annotated[ - str, "A question or prompt requesting information about or on some aspect of your codebase, for example 'find all usages of the method 'foobar', include as much information as possible" - ], - codebase_dir: Annotated[str, "Absolute path to the codebase root directory. It is highly encouraged to provide the root codebase directory and not a sub directory"], - codebase_language: Annotated[ProgrammingLanguage, "The language the codebase is written in"], -): - # Input validation - if not query or not query.strip(): - return {"error": "Query cannot be empty"} - - if not codebase_dir or not codebase_dir.strip(): - return {"error": "Codebase directory path cannot be empty"} - - # Check if codebase directory exists - if not os.path.exists(codebase_dir): - return {"error": f"Codebase directory '{codebase_dir}' does not exist. Please provide a valid directory path."} - - try: - # Initialize codebase - codebase = Codebase(repo_path=codebase_dir, language=codebase_language) - - # Create the agent - agent = create_codebase_inspector_agent(codebase=codebase, model_provider="openai", model_name="gpt-4o") - - result = agent.invoke({"input": query}, config={"configurable": {"thread_id": 1}}) - - return result["messages"][-1].content - - except Exception as e: - return {"error": f"An error occurred while processing the request: {e!s}"} - - -if __name__ == "__main__": - # Initialize and run the server - print("Starting codebase agent server...") - mcp.run(transport="stdio") diff --git a/src/codegen/extensions/swebench/harness.py b/src/codegen/extensions/swebench/harness.py index 7eaacd5ad..456c52fca 100644 --- a/src/codegen/extensions/swebench/harness.py +++ b/src/codegen/extensions/swebench/harness.py @@ -11,7 +11,6 @@ import lox from codegen import Codebase -from codegen.agents.code_agent import CodeAgent from codegen.configs.models.codebase import CodebaseConfig from codegen.extensions.swebench.utils import ( SweBenchExample, @@ -72,7 +71,7 @@ def run_agent_on_entry(entry: SweBenchExample, model: str, codebase: Codebase | metadata = {"run_id": run_id, "instance_id": instance_id, "difficulty": f"difficulty_{entry.difficulty}"} tags = [str(value) for value in metadata.values()] - agent = CodeAgent(codebase=codebase, tags=tags, metadata=metadata) + # agent = CodeAgent(codebase=codebase, tags=tags, metadata=metadata) pprint.pprint(instance_id) pprint.pprint(gold_files) @@ -102,7 +101,8 @@ def run_agent_on_entry(entry: SweBenchExample, model: str, codebase: Codebase | message += problem_statement try: - result = agent.run(prompt=message) + pass + # result = agent.run(prompt=message) except Exception as agent_error: pprint.pprint(f"Instance ID: {instance_id} terminated with error: {agent_error}") raise agent_error diff --git a/src/codegen/extensions/tools/README.md b/src/codegen/extensions/tools/README.md deleted file mode 100644 index f69e74e8a..000000000 --- a/src/codegen/extensions/tools/README.md +++ /dev/null @@ -1,4 +0,0 @@ -# Tools - -- should take in a `codebase` and string args -- gets "wrapped" by extensions, e.g. MCP or Langchain diff --git a/src/codegen/extensions/tools/__init__.py b/src/codegen/extensions/tools/__init__.py deleted file mode 100644 index 33e864e39..000000000 --- a/src/codegen/extensions/tools/__init__.py +++ /dev/null @@ -1,64 +0,0 @@ -"""Tools for workspace operations.""" - -from .commit import commit -from .create_file import create_file -from .delete_file import delete_file -from .edit_file import edit_file -from .github.create_pr import create_pr -from .github.create_pr_comment import create_pr_comment -from .github.create_pr_review_comment import create_pr_review_comment -from .github.view_pr import view_pr -from .global_replacement_edit import replacement_edit_global -from .linear import ( - linear_comment_on_issue_tool, - linear_get_issue_comments_tool, - linear_get_issue_tool, - linear_register_webhook_tool, -) -from .list_directory import list_directory -from .move_symbol import move_symbol -from .reflection import perform_reflection -from .rename_file import rename_file -from .replacement_edit import replacement_edit -from .reveal_symbol import reveal_symbol -from .run_codemod import run_codemod -from .search import search -from .search_files_by_name import search_files_by_name -from .semantic_edit import semantic_edit -from .semantic_search import semantic_search -from .view_file import view_file - -__all__ = [ - # Git operations - "commit", - # File operations - "create_file", - "create_pr", - "create_pr_comment", - "create_pr_review_comment", - "delete_file", - "edit_file", - # Linear operations - "linear_comment_on_issue_tool", - "linear_get_issue_comments_tool", - "linear_get_issue_tool", - "linear_register_webhook_tool", - "list_directory", - # Symbol operations - "move_symbol", - # Reflection - "perform_reflection", - "rename_file", - "replacement_edit", - "replacement_edit_global", - "reveal_symbol", - "run_codemod", - # Search operations - "search", - "search_files_by_name", - # Edit operations - "semantic_edit", - "semantic_search", - "view_file", - "view_pr", -] diff --git a/src/codegen/extensions/tools/bash.py b/src/codegen/extensions/tools/bash.py deleted file mode 100644 index dd9da037d..000000000 --- a/src/codegen/extensions/tools/bash.py +++ /dev/null @@ -1,183 +0,0 @@ -"""Tools for running bash commands.""" - -import re -import shlex -import subprocess -from typing import ClassVar, Optional - -from pydantic import Field - -from .observation import Observation - -# Whitelist of allowed commands and their flags -ALLOWED_COMMANDS = { - "ls": {"-l", "-a", "-h", "-t", "-r", "--color"}, - "cat": {"-n", "--number"}, - "head": {"-n"}, - "tail": {"-n", "-f"}, - "grep": {"-i", "-r", "-n", "-l", "-v", "--color"}, - "find": {"-name", "-type", "-size", "-mtime"}, - "pwd": set(), - "echo": set(), # echo is safe with any args - "ps": {"-ef", "-aux"}, - "df": {"-h"}, - "du": {"-h", "-s"}, - "wc": {"-l", "-w", "-c"}, -} - - -class RunBashCommandObservation(Observation): - """Response from running a bash command.""" - - stdout: Optional[str] = Field( - default=None, - description="Standard output from the command", - ) - stderr: Optional[str] = Field( - default=None, - description="Standard error from the command", - ) - command: str = Field( - description="The command that was executed", - ) - pid: Optional[int] = Field( - default=None, - description="Process ID for background commands", - ) - - str_template: ClassVar[str] = "Command '{command}' completed" - - -def validate_command(command: str) -> tuple[bool, str]: - """Validate if a command is safe to execute. - - Args: - command: The command to validate - - Returns: - Tuple of (is_valid, error_message) - """ - try: - # Check for dangerous patterns first, before splitting - dangerous_patterns = [ - (r"[|;&`$]", "shell operators (|, ;, &, `, $)"), - (r"rm\s", "remove command"), - (r">\s", "output redirection"), - (r">>\s", "append redirection"), - (r"<\s", "input redirection"), - (r"\.\.", "parent directory traversal"), - (r"sudo\s", "sudo command"), - (r"chmod\s", "chmod command"), - (r"chown\s", "chown command"), - (r"mv\s", "move command"), - (r"cp\s", "copy command"), - ] - - for pattern, description in dangerous_patterns: - if re.search(pattern, command): - return False, f"Command contains dangerous pattern: {description}" - - # Split command into tokens while preserving quoted strings - tokens = shlex.split(command) - if not tokens: - return False, "Empty command" - - # Get base command (first token) - base_cmd = tokens[0] - - # Check if base command is in whitelist - if base_cmd not in ALLOWED_COMMANDS: - return False, f"Command '{base_cmd}' is not allowed. Allowed commands: {', '.join(sorted(ALLOWED_COMMANDS.keys()))}" - - # Extract and split combined flags (e.g., -la -> -l -a) - flags = set() - for token in tokens[1:]: - if token.startswith("-"): - if token.startswith("--"): - # Handle long options (e.g., --color) - flags.add(token) - else: - # Handle combined short options (e.g., -la) - # Skip the first "-" and add each character as a flag - for char in token[1:]: - flags.add(f"-{char}") - - allowed_flags = ALLOWED_COMMANDS[base_cmd] - - # For commands with no flag restrictions (like echo), skip flag validation - if allowed_flags: - invalid_flags = flags - allowed_flags - if invalid_flags: - return False, f"Flags {invalid_flags} are not allowed for command '{base_cmd}'. Allowed flags: {allowed_flags}" - - return True, "" - - except Exception as e: - return False, f"Failed to validate command: {e!s}" - - -def run_bash_command(command: str, is_background: bool = False) -> RunBashCommandObservation: - """Run a bash command and return its output. - - Args: - command: The command to run - is_background: Whether to run the command in the background - - Returns: - RunBashCommandObservation containing the command output or error - """ - # First validate the command - is_valid, error_message = validate_command(command) - if not is_valid: - return RunBashCommandObservation( - status="error", - error=f"Invalid command: {error_message}", - command=command, - ) - - try: - if is_background: - # For background processes, we use Popen and return immediately - process = subprocess.Popen( - command, - shell=True, - stdout=subprocess.PIPE, - stderr=subprocess.PIPE, - text=True, - ) - return RunBashCommandObservation( - status="success", - command=command, - pid=process.pid, - ) - - # For foreground processes, we wait for completion - result = subprocess.run( - command, - shell=True, - capture_output=True, - text=True, - check=True, # This will raise CalledProcessError if command fails - ) - - return RunBashCommandObservation( - status="success", - command=command, - stdout=result.stdout, - stderr=result.stderr, - ) - - except subprocess.CalledProcessError as e: - return RunBashCommandObservation( - status="error", - error=f"Command failed with exit code {e.returncode}", - command=command, - stdout=e.stdout, - stderr=e.stderr, - ) - except Exception as e: - return RunBashCommandObservation( - status="error", - error=f"Failed to run command: {e!s}", - command=command, - ) diff --git a/src/codegen/extensions/tools/commit.py b/src/codegen/extensions/tools/commit.py deleted file mode 100644 index d01634142..000000000 --- a/src/codegen/extensions/tools/commit.py +++ /dev/null @@ -1,42 +0,0 @@ -"""Tool for committing changes to disk.""" - -from typing import ClassVar - -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from .observation import Observation - - -class CommitObservation(Observation): - """Response from committing changes to disk.""" - - message: str = Field( - description="Message describing the commit result", - ) - - str_template: ClassVar[str] = "{message}" - - -def commit(codebase: Codebase) -> CommitObservation: - """Commit any pending changes to disk. - - Args: - codebase: The codebase to operate on - - Returns: - CommitObservation containing commit status - """ - try: - codebase.commit() - return CommitObservation( - status="success", - message="Changes committed to disk", - ) - except Exception as e: - return CommitObservation( - status="error", - error=f"Failed to commit changes: {e!s}", - message="Failed to commit changes", - ) diff --git a/src/codegen/extensions/tools/create_file.py b/src/codegen/extensions/tools/create_file.py deleted file mode 100644 index cc22d3ede..000000000 --- a/src/codegen/extensions/tools/create_file.py +++ /dev/null @@ -1,88 +0,0 @@ -"""Tool for creating new files.""" - -from typing import ClassVar, Optional - -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from .observation import Observation -from .view_file import ViewFileObservation, view_file - - -class CreateFileObservation(Observation): - """Response from creating a new file.""" - - filepath: str = Field( - description="Path to the created file", - ) - file_info: ViewFileObservation = Field( - description="Information about the created file", - ) - - str_template: ClassVar[str] = "Created file {filepath}" - - -def create_file(codebase: Codebase, filepath: str, content: str, max_tokens: Optional[int] = None) -> CreateFileObservation: - """Create a new file. - - Args: - codebase: The codebase to operate on - filepath: Path where to create the file - content: Content for the new file (required) - - Returns: - CreateFileObservation containing new file state, or error if file exists - """ - if max_tokens: - error = f"""Your response reached the max output tokens limit of {max_tokens} tokens (~ {max_tokens / 10} lines). -Create the file in chunks or break up the content into smaller files. - """ - return CreateFileObservation( - status="error", - error=error, - filepath=filepath, - file_info=ViewFileObservation(status="error", error=error, filepath=filepath, content="", raw_content="", line_count=0), - ) - if codebase.has_file(filepath): - return CreateFileObservation( - status="error", - error=f"File already exists: {filepath}, please use view_file to see the file content or realace_edit to edit it directly", - filepath=filepath, - file_info=ViewFileObservation( - status="error", - error=f"File already exists: {filepath}", - filepath=filepath, - content="", - line_count=0, - raw_content="", - ), - ) - - try: - file = codebase.create_file(filepath, content=content) - codebase.commit() - - # Get file info using view_file - file_info = view_file(codebase, filepath) - - return CreateFileObservation( - status="success", - filepath=filepath, - file_info=file_info, - ) - - except Exception as e: - return CreateFileObservation( - status="error", - error=f"Failed to create file: {e!s}", - filepath=filepath, - file_info=ViewFileObservation( - status="error", - error=f"Failed to create file: {e!s}", - filepath=filepath, - content="", - line_count=0, - raw_content="", - ), - ) diff --git a/src/codegen/extensions/tools/delete_file.py b/src/codegen/extensions/tools/delete_file.py deleted file mode 100644 index 8ac3e4c28..000000000 --- a/src/codegen/extensions/tools/delete_file.py +++ /dev/null @@ -1,60 +0,0 @@ -"""Tool for deleting files.""" - -from typing import ClassVar - -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from .observation import Observation - - -class DeleteFileObservation(Observation): - """Response from deleting a file.""" - - filepath: str = Field( - description="Path to the deleted file", - ) - - str_template: ClassVar[str] = "Deleted file {filepath}" - - -def delete_file(codebase: Codebase, filepath: str) -> DeleteFileObservation: - """Delete a file. - - Args: - codebase: The codebase to operate on - filepath: Path to the file to delete - - Returns: - DeleteFileObservation containing deletion status, or error if file not found - """ - try: - file = codebase.get_file(filepath) - except ValueError: - return DeleteFileObservation( - status="error", - error=f"File not found: {filepath}", - filepath=filepath, - ) - - if file is None: - return DeleteFileObservation( - status="error", - error=f"File not found: {filepath}", - filepath=filepath, - ) - - try: - file.remove() - codebase.commit() - return DeleteFileObservation( - status="success", - filepath=filepath, - ) - except Exception as e: - return DeleteFileObservation( - status="error", - error=f"Failed to delete file: {e!s}", - filepath=filepath, - ) diff --git a/src/codegen/extensions/tools/edit_file.py b/src/codegen/extensions/tools/edit_file.py deleted file mode 100644 index b4831b968..000000000 --- a/src/codegen/extensions/tools/edit_file.py +++ /dev/null @@ -1,82 +0,0 @@ -"""Tool for editing file contents.""" - -from typing import TYPE_CHECKING, ClassVar, Optional - -from langchain_core.messages import ToolMessage -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from .observation import Observation -from .replacement_edit import generate_diff - -if TYPE_CHECKING: - from .tool_output_types import EditFileArtifacts - - -class EditFileObservation(Observation): - """Response from editing a file.""" - - filepath: str = Field( - description="Path to the edited file", - ) - diff: Optional[str] = Field( - default=None, - description="Unified diff showing the changes made", - ) - - str_template: ClassVar[str] = "Edited file {filepath}" - - def render(self, tool_call_id: str) -> ToolMessage: - """Render edit results in a clean format.""" - if self.status == "error": - artifacts_error: EditFileArtifacts = {"filepath": self.filepath, "error": self.error} - return ToolMessage( - content=f"[ERROR EDITING FILE]: {self.filepath}: {self.error}", - status=self.status, - name="edit_file", - artifact=artifacts_error, - tool_call_id=tool_call_id, - ) - - artifacts_success: EditFileArtifacts = {"filepath": self.filepath, "diff": self.diff} - - return ToolMessage( - content=f"""[EDIT FILE]: {self.filepath}\n\n{self.diff}""", - status=self.status, - name="edit_file", - artifact=artifacts_success, - tool_call_id=tool_call_id, - ) - - -def edit_file(codebase: Codebase, filepath: str, new_content: str) -> EditFileObservation: - """Edit the contents of a file. - - Args: - codebase: The codebase to operate on - filepath: Path to the file relative to workspace root - new_content: New content for the file - """ - try: - file = codebase.get_file(filepath) - except ValueError: - return EditFileObservation( - status="error", - error=f"File not found: {filepath}", - filepath=filepath, - diff="", - ) - - # Generate diff before making changes - diff = generate_diff(file.content, new_content) - - # Apply the edit - file.edit(new_content) - codebase.commit() - - return EditFileObservation( - status="success", - filepath=filepath, - diff=diff, - ) diff --git a/src/codegen/extensions/tools/github/__init__.py b/src/codegen/extensions/tools/github/__init__.py deleted file mode 100644 index f5f9761f3..000000000 --- a/src/codegen/extensions/tools/github/__init__.py +++ /dev/null @@ -1,13 +0,0 @@ -from .create_pr import create_pr -from .create_pr_comment import create_pr_comment -from .create_pr_review_comment import create_pr_review_comment -from .search import search -from .view_pr import view_pr - -__all__ = [ - "create_pr", - "create_pr_comment", - "create_pr_review_comment", - "search", - "view_pr", -] diff --git a/src/codegen/extensions/tools/github/checkout_pr.py b/src/codegen/extensions/tools/github/checkout_pr.py deleted file mode 100644 index 1b4b6d769..000000000 --- a/src/codegen/extensions/tools/github/checkout_pr.py +++ /dev/null @@ -1,47 +0,0 @@ -"""Tool for viewing PR contents and modified symbols.""" - -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from ..observation import Observation - - -class CheckoutPRObservation(Observation): - """Response from checking out a PR.""" - - pr_number: int = Field( - description="PR number", - ) - success: bool = Field( - description="Whether the checkout was successful", - default=False, - ) - - -def checkout_pr(codebase: Codebase, pr_number: int) -> CheckoutPRObservation: - """Checkout a PR. - - Args: - codebase: The codebase to operate on - pr_number: Number of the PR to get the contents for - """ - try: - pr = codebase.op.remote_git_repo.get_pull_safe(pr_number) - if not pr: - return CheckoutPRObservation( - pr_number=pr_number, - success=False, - ) - - codebase.checkout(branch=pr.head.ref) - return CheckoutPRObservation( - pr_number=pr_number, - success=True, - ) - except Exception as e: - return CheckoutPRObservation( - pr_number=pr_number, - success=False, - error=f"Failed to checkout PR: {e!s}", - ) diff --git a/src/codegen/extensions/tools/github/create_pr.py b/src/codegen/extensions/tools/github/create_pr.py deleted file mode 100644 index 70da33b3d..000000000 --- a/src/codegen/extensions/tools/github/create_pr.py +++ /dev/null @@ -1,84 +0,0 @@ -"""Tool for creating pull requests.""" - -import uuid -from typing import ClassVar - -from github import GithubException -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from ..observation import Observation - - -class CreatePRObservation(Observation): - """Response from creating a pull request.""" - - url: str = Field( - description="URL of the created PR", - ) - number: int = Field( - description="PR number", - ) - title: str = Field( - description="Title of the PR", - ) - - str_template: ClassVar[str] = "Created PR #{number}: {title}" - - -def create_pr(codebase: Codebase, title: str, body: str) -> CreatePRObservation: - """Create a PR for the current branch. - - Args: - codebase: The codebase to operate on - title: The title of the PR - body: The body/description of the PR - """ - try: - # Check for uncommitted changes and commit them - if len(codebase.get_diff()) == 0: - return CreatePRObservation( - status="error", - error="No changes to create a PR.", - url="", - number=0, - title=title, - ) - - # TODO: this is very jank. We should ideally check out the branch before - # making the changes, but it looks like `codebase.checkout` blows away - # all of your changes - codebase.git_commit(".") - - # If on default branch, create a new branch - if codebase._op.git_cli.active_branch.name == codebase._op.default_branch: - codebase.checkout(branch=f"{uuid.uuid4()}", create_if_missing=True) - - # Create the PR - try: - pr = codebase.create_pr(title=title, body=body) - except GithubException as e: - return CreatePRObservation( - status="error", - error="Failed to create PR. Check if the PR already exists.", - url="", - number=0, - title=title, - ) - - return CreatePRObservation( - status="success", - url=pr.html_url, - number=pr.number, - title=pr.title, - ) - - except Exception as e: - return CreatePRObservation( - status="error", - error=f"Failed to create PR: {e!s}", - url="", - number=0, - title=title, - ) diff --git a/src/codegen/extensions/tools/github/create_pr_comment.py b/src/codegen/extensions/tools/github/create_pr_comment.py deleted file mode 100644 index aaff7179d..000000000 --- a/src/codegen/extensions/tools/github/create_pr_comment.py +++ /dev/null @@ -1,46 +0,0 @@ -"""Tool for creating PR comments.""" - -from typing import ClassVar - -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from ..observation import Observation - - -class PRCommentObservation(Observation): - """Response from creating a PR comment.""" - - pr_number: int = Field( - description="PR number the comment was added to", - ) - body: str = Field( - description="Content of the comment", - ) - - str_template: ClassVar[str] = "Added comment to PR #{pr_number}" - - -def create_pr_comment(codebase: Codebase, pr_number: int, body: str) -> PRCommentObservation: - """Create a general comment on a pull request. - - Args: - codebase: The codebase to operate on - pr_number: The PR number to comment on - body: The comment text - """ - try: - codebase.create_pr_comment(pr_number=pr_number, body=body) - return PRCommentObservation( - status="success", - pr_number=pr_number, - body=body, - ) - except Exception as e: - return PRCommentObservation( - status="error", - error=f"Failed to create PR comment: {e!s}", - pr_number=pr_number, - body=body, - ) diff --git a/src/codegen/extensions/tools/github/create_pr_review_comment.py b/src/codegen/extensions/tools/github/create_pr_review_comment.py deleted file mode 100644 index 30324bed3..000000000 --- a/src/codegen/extensions/tools/github/create_pr_review_comment.py +++ /dev/null @@ -1,78 +0,0 @@ -"""Tool for creating PR review comments.""" - -from typing import ClassVar, Optional - -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from ..observation import Observation - - -class PRReviewCommentObservation(Observation): - """Response from creating a PR review comment.""" - - pr_number: int = Field( - description="PR number the comment was added to", - ) - body: str = Field( - description="Content of the comment", - ) - commit_sha: str = Field( - description="Commit SHA the comment was added to", - ) - path: str = Field( - description="File path the comment was added to", - ) - line: int = Field( - description="Line number the comment was added to", - ) - str_template: ClassVar[str] = "Added review comment to PR #{pr_number} at {path}:{line}" - - -def create_pr_review_comment( - codebase: Codebase, - pr_number: int, - body: str, - commit_sha: str, - path: str, - line: int, - start_line: Optional[int] = None, -) -> PRReviewCommentObservation: - """Create an inline review comment on a specific line in a pull request. - - Args: - codebase: The codebase to operate on - pr_number: The PR number to comment on - body: The comment text - commit_sha: The commit SHA to attach the comment to - path: The file path to comment on - line: The line number to comment on - """ - try: - codebase.create_pr_review_comment( - pr_number=pr_number, - body=body, - commit_sha=commit_sha, - path=path, - line=line, - side="RIGHT", - ) - return PRReviewCommentObservation( - status="success", - pr_number=pr_number, - path=path, - line=line, - body=body, - commit_sha=commit_sha, - ) - except Exception as e: - return PRReviewCommentObservation( - status="error", - error=f"Failed to create PR review comment: {e!s}", - pr_number=pr_number, - path=path, - line=line, - body=body, - commit_sha=commit_sha, - ) diff --git a/src/codegen/extensions/tools/github/search.py b/src/codegen/extensions/tools/github/search.py deleted file mode 100644 index b83504937..000000000 --- a/src/codegen/extensions/tools/github/search.py +++ /dev/null @@ -1,77 +0,0 @@ -"""Tools for searching GitHub issues and pull requests.""" - -from typing import ClassVar - -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from ..observation import Observation - - -class SearchResultObservation(Observation): - """Response from searching issues and pull requests.""" - - query: str = Field( - description="The search query that was used", - ) - results: list[dict] = Field( - description="List of matching issues/PRs with their details. Use is:pr in query to search for PRs, is:issue for issues.", - ) - - str_template: ClassVar[str] = "Found {total} results matching query: {query}" - - @property - def total(self) -> int: - return len(self.results) - - -def search( - codebase: Codebase, - query: str, - max_results: int = 20, -) -> SearchResultObservation: - """Search for GitHub issues and pull requests using the provided query. - - To search for pull requests specifically, include 'is:pr' in your query. - To search for issues specifically, include 'is:issue' in your query. - If neither is specified, both issues and PRs will be included in results. - - Args: - codebase: The codebase to operate on - query: Search query string (e.g. "is:pr label:bug", "is:issue is:open") - state: Filter by state ("open", "closed", or "all") - max_results: Maximum number of results to return - """ - try: - # Get the GitHub repo object - repo = codebase._op.remote_git_repo - - # Search using PyGitHub's search_issues (which searches both issues and PRs) - results = [] - for item in repo.search_issues(query)[:max_results]: - result = { - "title": item.title, - "number": item.number, - "state": item.state, - "labels": [label.name for label in item.labels], - "created_at": item.created_at.isoformat(), - "updated_at": item.updated_at.isoformat(), - "url": item.html_url, - "is_pr": item.pull_request is not None, - } - results.append(result) - - return SearchResultObservation( - status="success", - query=query, - results=results, - ) - - except Exception as e: - return SearchResultObservation( - status="error", - error=f"Failed to search: {e!s}", - query=query, - results=[], - ) diff --git a/src/codegen/extensions/tools/github/view_pr.py b/src/codegen/extensions/tools/github/view_pr.py deleted file mode 100644 index 00c20f7bb..000000000 --- a/src/codegen/extensions/tools/github/view_pr.py +++ /dev/null @@ -1,57 +0,0 @@ -"""Tool for viewing PR contents and modified symbols.""" - -from typing import ClassVar - -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from ..observation import Observation - - -class ViewPRObservation(Observation): - """Response from viewing a PR.""" - - pr_id: int = Field( - description="ID of the PR", - ) - patch: str = Field( - description="The PR's patch/diff content", - ) - file_commit_sha: dict[str, str] = Field( - description="Commit SHAs for each file in the PR", - ) - modified_symbols: list[str] = Field( - description="Names of modified symbols in the PR", - ) - - str_template: ClassVar[str] = "PR #{pr_id}" - - -def view_pr(codebase: Codebase, pr_id: int) -> ViewPRObservation: - """Get the diff and modified symbols of a PR. - - Args: - codebase: The codebase to operate on - pr_id: Number of the PR to get the contents for - """ - try: - patch, file_commit_sha, moddified_symbols = codebase.get_modified_symbols_in_pr(pr_id) - - return ViewPRObservation( - status="success", - pr_id=pr_id, - patch=patch, - file_commit_sha=file_commit_sha, - modified_symbols=moddified_symbols, - ) - - except Exception as e: - return ViewPRObservation( - status="error", - error=f"Failed to view PR: {e!s}", - pr_id=pr_id, - patch="", - file_commit_sha={}, - modified_symbols=[], - ) diff --git a/src/codegen/extensions/tools/github/view_pr_checks.py b/src/codegen/extensions/tools/github/view_pr_checks.py deleted file mode 100644 index 9f17edaa2..000000000 --- a/src/codegen/extensions/tools/github/view_pr_checks.py +++ /dev/null @@ -1,54 +0,0 @@ -"""Tool for creating PR review comments.""" - -import json - -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from ..observation import Observation - - -class PRCheckObservation(Observation): - """Response from retrieving PR checks.""" - - pr_number: int = Field( - description="PR number that was viewed", - ) - head_sha: str | None = Field( - description="SHA of the head commit", - ) - summary: str | None = Field( - description="Summary of the checks", - ) - - -def view_pr_checks(codebase: Codebase, pr_number: int) -> PRCheckObservation: - """Retrieve check information from a Github PR . - - Args: - codebase: The codebase to operate on - pr_number: The PR number to view checks on - """ - try: - pr = codebase.op.remote_git_repo.get_pull_safe(pr_number) - if not pr: - return PRCheckObservation( - pr_number=pr_number, - head_sha=None, - summary=None, - ) - commit = codebase.op.remote_git_repo.get_commit_safe(pr.head.sha) - all_check_suites = commit.get_check_suites() - return PRCheckObservation( - pr_number=pr_number, - head_sha=pr.head.sha, - summary="\n".join([json.dumps(check_suite.raw_data) for check_suite in all_check_suites]), - ) - - except Exception as e: - return PRCheckObservation( - pr_number=pr_number, - head_sha=None, - summary=None, - ) diff --git a/src/codegen/extensions/tools/global_replacement_edit.py b/src/codegen/extensions/tools/global_replacement_edit.py deleted file mode 100644 index 7773aa885..000000000 --- a/src/codegen/extensions/tools/global_replacement_edit.py +++ /dev/null @@ -1,130 +0,0 @@ -"""Tool for making regex-based replacements in files.""" - -import difflib -import logging -import math -import re -from typing import ClassVar - -from pydantic import Field - -from codegen.extensions.tools.search_files_by_name import search_files_by_name -from codegen.sdk.core.codebase import Codebase - -from .observation import Observation - -logger = logging.getLogger(__name__) - - -class GlobalReplacementEditObservation(Observation): - """Response from making regex-based replacements in a file.""" - - diff: str | None = Field( - default=None, - description="Unified diff showing the changes made. Only the first 5 file's changes are shown.", - ) - message: str | None = Field( - default=None, - description="Message describing the result", - ) - error: str | None = Field( - default=None, - description="Error message if an error occurred", - ) - error_pattern: str | None = Field( - default=None, - description="Regex pattern that failed to compile", - ) - - str_template: ClassVar[str] = "{message}" if "{message}" else "Edited file {filepath}" - - -def generate_diff(original: str, modified: str, path: str) -> str: - """Generate a unified diff between two strings. - - Args: - original: Original content - modified: Modified content - - Returns: - Unified diff as a string - """ - original_lines = original.splitlines(keepends=True) - modified_lines = modified.splitlines(keepends=True) - - diff = difflib.unified_diff( - original_lines, - modified_lines, - fromfile=path, - tofile=path, - lineterm="", - ) - - return "".join(diff) - - -def replacement_edit_global( - codebase: Codebase, - file_pattern: str, - pattern: str, - replacement: str, - count: int | None = None, - flags: re.RegexFlag = re.MULTILINE, -) -> GlobalReplacementEditObservation: - """Replace text in a file using regex pattern matching. - - Args: - codebase: The codebase to operate on - file_pattern: Glob pattern to match files - pattern: Regex pattern to match - replacement: Replacement text (can include regex groups) - count: Maximum number of replacements (None for all) - flags: Regex flags (default: re.MULTILINE) - - Returns: - GlobalReplacementEditObservation containing edit results and status - - Raises: - FileNotFoundError: If file not found - ValueError: If invalid regex pattern - """ - logger.info(f"Replacing text in files matching {file_pattern} using regex pattern {pattern}") - - if count == 0: - count = None - try: - # Compile pattern for better error messages - regex = re.compile(pattern, flags) - except re.error as e: - return GlobalReplacementEditObservation( - status="error", - error=f"Invalid regex pattern: {e!s}", - error_pattern=pattern, - message="Invalid regex pattern", - ) - - diffs = [] - for file in search_files_by_name(codebase, file_pattern, page=1, files_per_page=math.inf).files: - if count is not None and count <= 0: - break - try: - file = codebase.get_file(file) - except ValueError: - msg = f"File not found: {file}" - raise FileNotFoundError(msg) - content = file.content - new_content, n = regex.subn(replacement, content, count=(count or 0)) - if count is not None: - count -= n - if n > 0: - file.edit(new_content) - if new_content != content: - diff = generate_diff(content, new_content, file.filepath) - diffs.append(diff) - diff = "\n".join(diffs[:5]) - codebase.commit() - return GlobalReplacementEditObservation( - status="success", - diff=diff, - message=f"Successfully replaced text in files matching {file_pattern} using regex pattern {pattern}", - ) diff --git a/src/codegen/extensions/tools/linear/__init__.py b/src/codegen/extensions/tools/linear/__init__.py deleted file mode 100644 index 8d15e1b72..000000000 --- a/src/codegen/extensions/tools/linear/__init__.py +++ /dev/null @@ -1,19 +0,0 @@ -from .linear import ( - linear_comment_on_issue_tool, - linear_create_issue_tool, - linear_get_issue_comments_tool, - linear_get_issue_tool, - linear_get_teams_tool, - linear_register_webhook_tool, - linear_search_issues_tool, -) - -__all__ = [ - "linear_comment_on_issue_tool", - "linear_create_issue_tool", - "linear_get_issue_comments_tool", - "linear_get_issue_tool", - "linear_get_teams_tool", - "linear_register_webhook_tool", - "linear_search_issues_tool", -] diff --git a/src/codegen/extensions/tools/linear/linear.py b/src/codegen/extensions/tools/linear/linear.py deleted file mode 100644 index 31c534bd7..000000000 --- a/src/codegen/extensions/tools/linear/linear.py +++ /dev/null @@ -1,402 +0,0 @@ -"""Tools for interacting with Linear.""" - -from typing import ClassVar - -import requests -from pydantic import Field - -from codegen.extensions.linear.linear_client import LinearClient - -from ..observation import Observation - - -class LinearIssueObservation(Observation): - """Response from getting a Linear issue.""" - - issue_id: str = Field(description="ID of the issue") - issue_data: dict = Field(description="Full issue data") - - str_template: ClassVar[str] = "Issue {issue_id}" - - -class LinearCommentsObservation(Observation): - """Response from getting Linear issue comments.""" - - issue_id: str = Field(description="ID of the issue") - comments: list[dict] = Field(description="List of comments") - - str_template: ClassVar[str] = "{comment_count} comments on issue {issue_id}" - - def _get_details(self) -> dict[str, int]: - """Get details for string representation.""" - return {"comment_count": len(self.comments)} - - -class LinearCommentObservation(Observation): - """Response from commenting on a Linear issue.""" - - issue_id: str = Field(description="ID of the issue") - comment: dict = Field(description="Created comment data") - - str_template: ClassVar[str] = "Added comment to issue {issue_id}" - - -class LinearWebhookObservation(Observation): - """Response from registering a Linear webhook.""" - - webhook_url: str = Field(description="URL of the registered webhook") - team_id: str = Field(description="ID of the team") - response: dict = Field(description="Full webhook registration response") - - str_template: ClassVar[str] = "Registered webhook for team {team_id}" - - -class LinearSearchObservation(Observation): - """Response from searching Linear issues.""" - - query: str = Field(description="Search query used") - issues: list[dict] = Field(description="List of matching issues") - - str_template: ClassVar[str] = "Found {issue_count} issues matching '{query}'" - - def _get_details(self) -> dict[str, str | int]: - """Get details for string representation.""" - return { - "issue_count": len(self.issues), - "query": self.query, - } - - -class LinearCreateIssueObservation(Observation): - """Response from creating a Linear issue.""" - - title: str = Field(description="Title of the created issue") - team_id: str | None = Field(description="Team ID if specified") - issue_data: dict = Field(description="Created issue data") - - str_template: ClassVar[str] = "Created issue '{title}'" - - -class LinearTeamsObservation(Observation): - """Response from getting Linear teams.""" - - teams: list[dict] = Field(description="List of teams") - - str_template: ClassVar[str] = "Found {team_count} teams" - - def _get_details(self) -> dict[str, int]: - """Get details for string representation.""" - return {"team_count": len(self.teams)} - - -def linear_get_issue_tool(client: LinearClient, issue_id: str) -> LinearIssueObservation: - """Get an issue by its ID.""" - try: - issue = client.get_issue(issue_id) - return LinearIssueObservation( - status="success", - issue_id=issue_id, - issue_data=issue.dict(), - ) - except requests.exceptions.RequestException as e: - # Network-related errors - return LinearIssueObservation( - status="error", - error=f"Network error when fetching issue: {e!s}", - issue_id=issue_id, - issue_data={}, - ) - except ValueError as e: - # Input validation errors - return LinearIssueObservation( - status="error", - error=f"Invalid input: {e!s}", - issue_id=issue_id, - issue_data={}, - ) - except KeyError as e: - # Missing data in response - return LinearIssueObservation( - status="error", - error=f"Unexpected API response format: {e!s}", - issue_id=issue_id, - issue_data={}, - ) - except Exception as e: - # Catch-all for other errors - return LinearIssueObservation( - status="error", - error=f"Failed to get issue: {e!s}", - issue_id=issue_id, - issue_data={}, - ) - - -def linear_get_issue_comments_tool(client: LinearClient, issue_id: str) -> LinearCommentsObservation: - """Get comments for a specific issue.""" - try: - comments = client.get_issue_comments(issue_id) - return LinearCommentsObservation( - status="success", - issue_id=issue_id, - comments=[comment.dict() for comment in comments], - ) - except requests.exceptions.RequestException as e: - # Network-related errors - return LinearCommentsObservation( - status="error", - error=f"Network error when fetching comments: {e!s}", - issue_id=issue_id, - comments=[], - ) - except ValueError as e: - # Input validation errors - return LinearCommentsObservation( - status="error", - error=f"Invalid input: {e!s}", - issue_id=issue_id, - comments=[], - ) - except KeyError as e: - # Missing data in response - return LinearCommentsObservation( - status="error", - error=f"Unexpected API response format: {e!s}", - issue_id=issue_id, - comments=[], - ) - except Exception as e: - # Catch-all for other errors - return LinearCommentsObservation( - status="error", - error=f"Failed to get issue comments: {e!s}", - issue_id=issue_id, - comments=[], - ) - - -def linear_comment_on_issue_tool(client: LinearClient, issue_id: str, body: str) -> LinearCommentObservation: - """Add a comment to an issue.""" - try: - comment = client.comment_on_issue(issue_id, body) - return LinearCommentObservation( - status="success", - issue_id=issue_id, - comment=comment, - ) - except requests.exceptions.RequestException as e: - # Network-related errors - return LinearCommentObservation( - status="error", - error=f"Network error when adding comment: {e!s}", - issue_id=issue_id, - comment={}, - ) - except ValueError as e: - # Input validation errors - return LinearCommentObservation( - status="error", - error=f"Invalid input: {e!s}", - issue_id=issue_id, - comment={}, - ) - except KeyError as e: - # Missing data in response - return LinearCommentObservation( - status="error", - error=f"Unexpected API response format: {e!s}", - issue_id=issue_id, - comment={}, - ) - except Exception as e: - # Catch-all for other errors - return LinearCommentObservation( - status="error", - error=f"Failed to comment on issue: {e!s}", - issue_id=issue_id, - comment={}, - ) - - -def linear_register_webhook_tool( - client: LinearClient, - webhook_url: str, - team_id: str, - secret: str, - enabled: bool, - resource_types: list[str], -) -> LinearWebhookObservation: - """Register a webhook with Linear.""" - try: - response = client.register_webhook(webhook_url, team_id, secret, enabled, resource_types) - return LinearWebhookObservation( - status="success", - webhook_url=webhook_url, - team_id=team_id, - response=response, - ) - except requests.exceptions.RequestException as e: - # Network-related errors - return LinearWebhookObservation( - status="error", - error=f"Network error when registering webhook: {e!s}", - webhook_url=webhook_url, - team_id=team_id, - response={}, - ) - except ValueError as e: - # Input validation errors - return LinearWebhookObservation( - status="error", - error=f"Invalid input: {e!s}", - webhook_url=webhook_url, - team_id=team_id, - response={}, - ) - except KeyError as e: - # Missing data in response - return LinearWebhookObservation( - status="error", - error=f"Unexpected API response format: {e!s}", - webhook_url=webhook_url, - team_id=team_id, - response={}, - ) - except Exception as e: - # Catch-all for other errors - return LinearWebhookObservation( - status="error", - error=f"Failed to register webhook: {e!s}", - webhook_url=webhook_url, - team_id=team_id, - response={}, - ) - - -def linear_search_issues_tool(client: LinearClient, query: str, limit: int = 10) -> LinearSearchObservation: - """Search for issues using a query string.""" - try: - issues = client.search_issues(query, limit) - return LinearSearchObservation( - status="success", - query=query, - issues=[issue.dict() for issue in issues], - ) - except requests.exceptions.RequestException as e: - # Network-related errors - return LinearSearchObservation( - status="error", - error=f"Network error when searching issues: {e!s}", - query=query, - issues=[], - ) - except ValueError as e: - # Input validation errors - return LinearSearchObservation( - status="error", - error=f"Invalid input: {e!s}", - query=query, - issues=[], - ) - except KeyError as e: - # Missing data in response - return LinearSearchObservation( - status="error", - error=f"Unexpected API response format: {e!s}", - query=query, - issues=[], - ) - except Exception as e: - # Catch-all for other errors - return LinearSearchObservation( - status="error", - error=f"Failed to search issues: {e!s}", - query=query, - issues=[], - ) - - -def linear_create_issue_tool(client: LinearClient, title: str, description: str | None = None, team_id: str | None = None) -> LinearCreateIssueObservation: - """Create a new issue.""" - try: - issue = client.create_issue(title, description, team_id) - return LinearCreateIssueObservation( - status="success", - title=title, - team_id=team_id, - issue_data=issue.dict(), - ) - except requests.exceptions.RequestException as e: - # Network-related errors - return LinearCreateIssueObservation( - status="error", - error=f"Network error when creating issue: {e!s}", - title=title, - team_id=team_id, - issue_data={}, - ) - except ValueError as e: - # Input validation errors - return LinearCreateIssueObservation( - status="error", - error=f"Invalid input: {e!s}", - title=title, - team_id=team_id, - issue_data={}, - ) - except KeyError as e: - # Missing data in response - return LinearCreateIssueObservation( - status="error", - error=f"Unexpected API response format: {e!s}", - title=title, - team_id=team_id, - issue_data={}, - ) - except Exception as e: - # Catch-all for other errors - return LinearCreateIssueObservation( - status="error", - error=f"Failed to create issue: {e!s}", - title=title, - team_id=team_id, - issue_data={}, - ) - - -def linear_get_teams_tool(client: LinearClient) -> LinearTeamsObservation: - """Get all teams the authenticated user has access to.""" - try: - teams = client.get_teams() - return LinearTeamsObservation( - status="success", - teams=[team.dict() for team in teams], - ) - except requests.exceptions.RequestException as e: - # Network-related errors - return LinearTeamsObservation( - status="error", - error=f"Network error when fetching teams: {e!s}", - teams=[], - ) - except ValueError as e: - # Input validation errors - return LinearTeamsObservation( - status="error", - error=f"Invalid input: {e!s}", - teams=[], - ) - except KeyError as e: - # Missing data in response - return LinearTeamsObservation( - status="error", - error=f"Unexpected API response format: {e!s}", - teams=[], - ) - except Exception as e: - # Catch-all for other errors - return LinearTeamsObservation( - status="error", - error=f"Failed to get teams: {e!s}", - teams=[], - ) diff --git a/src/codegen/extensions/tools/link_annotation.py b/src/codegen/extensions/tools/link_annotation.py deleted file mode 100644 index 543f0fc3a..000000000 --- a/src/codegen/extensions/tools/link_annotation.py +++ /dev/null @@ -1,149 +0,0 @@ -"""Tool for viewing PR contents and modified symbols.""" - -import re -from enum import StrEnum -from typing import Callable - -from codegen.sdk.core.codebase import Codebase - - -class MessageChannel(StrEnum): - LINEAR = "linear" - MARKDOWN = "markdown" - HTML = "html" - SLACK = "slack" - - -def format_link_linear(name: str, url: str) -> str: - return f"[{name}]({url})" - - -def format_link_markdown(name: str, url: str) -> str: - return f"[{name}]({url})" - - -def format_link_html(name: str, url: str) -> str: - return f"{name}" - - -def format_link_slack(name: str, url: str) -> str: - return f"<{url}|{name}>" - - -LINK_FORMATS: dict[MessageChannel, Callable[[str, str], str]] = { - "linear": format_link_linear, - "markdown": format_link_markdown, - "html": format_link_html, - "slack": format_link_slack, -} - - -def clean_github_url(url: str) -> str: - """Clean a GitHub URL by removing access tokens and standardizing format.""" - # Remove access token if present - url = re.sub(r"https://[^@]+@", "https://", url) - - # Ensure it starts with standard github.com - if not url.startswith("https://github.com"): - url = "https://github.com" + url.split("github.com")[-1] - - return url - - -def format_link(name: str, url: str | None, format: MessageChannel = MessageChannel.SLACK) -> str: - # Clean the URL if it's a GitHub URL - if url is None: - url = "" - if "github.com" in url: - url = clean_github_url(url) - return LINK_FORMATS[format](name, url) - - -def extract_code_snippets(message: str) -> list[str]: - """Find all text wrapped in single backticks, excluding content in code blocks. - - Args: - message: The message to process - - Returns: - List of strings found between single backticks, excluding those in code blocks - """ - # First remove all code blocks (text between ```) - code_block_pattern = r"```[^`]*```" - message_without_blocks = re.sub(code_block_pattern, "", message) - - # Then find all text wrapped in single backticks - matches = re.findall(r"`([^`]+)`", message_without_blocks) - return matches - - -def is_likely_filepath(text: str) -> bool: - """Check if a string looks like a filepath.""" - # Common file extensions we want to link - extensions = [".py", ".ts", ".tsx", ".jsx", ".js", ".json", ".mdx", ".md", ".yaml", ".yml", ".toml"] - - # Check if it contains a slash (path separator) - if "/" in text: - return True - - # Check if it ends with a common file extension - return any(text.endswith(ext) for ext in extensions) - - -def add_links_to_message(message: str, codebase: Codebase, channel: MessageChannel = MessageChannel.SLACK) -> str: - """Add links to symbols and files in a message. - - This function: - 1. Links code snippets that match symbol names - 2. Links anything that looks like a filepath (files or directories) - - Args: - message: The message to process - codebase: The codebase to look up symbols and files in - channel: The message channel format to use - - Returns: - The message with appropriate links added - """ - snippets = extract_code_snippets(message) - for snippet in snippets: - # Filepaths - if is_likely_filepath(snippet): - # Try as file first - try: - file = codebase.get_file(snippet, optional=True) - if file: - link = format_link(snippet, file.github_url, channel) - message = message.replace(f"`{snippet}`", link) - continue - except (IsADirectoryError, OSError): - # Skip if there are any filesystem errors with file access - pass - - # If not a file, try as directory - try: - directory = codebase.get_directory(snippet, optional=True) - if directory: - # TODO: implement `Directory.github_url` - github_url = codebase.ctx.base_url - github_url = github_url or "https://github.com/your/repo/tree/develop/" # Fallback URL - if github_url.endswith(".git"): - github_url = github_url.replace(".git", "/tree/develop/") + str(directory.dirpath) - else: - github_url = github_url + str(directory.dirpath) - print(github_url) - link = format_link(snippet, github_url, channel) - message = message.replace(f"`{snippet}`", link) - except (IsADirectoryError, OSError): - # Skip if there are any filesystem errors with directory access - pass - - # Symbols - else: - symbols = codebase.get_symbols(snippet) - # Only link if there's exactly one symbol - if len(symbols) == 1: - link = format_link(symbols[0].name, symbols[0].github_url, channel) - message = message.replace(f"`{snippet}`", link) - - return message diff --git a/src/codegen/extensions/tools/list_directory.py b/src/codegen/extensions/tools/list_directory.py deleted file mode 100644 index 398dc9cc8..000000000 --- a/src/codegen/extensions/tools/list_directory.py +++ /dev/null @@ -1,232 +0,0 @@ -"""Tool for listing directory contents.""" - -from typing import ClassVar - -from langchain_core.messages import ToolMessage -from pydantic import Field - -from codegen.extensions.tools.observation import Observation -from codegen.extensions.tools.tool_output_types import ListDirectoryArtifacts -from codegen.sdk.core.codebase import Codebase -from codegen.sdk.core.directory import Directory - - -class DirectoryInfo(Observation): - """Information about a directory.""" - - name: str = Field( - description="Name of the directory", - ) - path: str = Field( - description="Full path to the directory", - ) - files: list[str] | None = Field( - default=None, - description="List of files in this directory (None if at max depth)", - ) - subdirectories: list["DirectoryInfo"] = Field( - default_factory=list, - description="List of subdirectories", - ) - is_leaf: bool = Field( - default=False, - description="Whether this is a leaf node (at max depth)", - ) - depth: int = Field( - default=0, - description="Current depth in the tree", - ) - max_depth: int = Field( - default=1, - description="Maximum depth allowed", - ) - - str_template: ClassVar[str] = "Directory {path} ({file_count} files, {dir_count} subdirs)" - - def _get_details(self) -> dict[str, int]: - """Get details for string representation.""" - return { - "file_count": len(self.files or []), - "dir_count": len(self.subdirectories), - } - - def render_as_string(self) -> str: - """Render directory listing as a file tree.""" - lines = [ - f"[LIST DIRECTORY]: {self.path}", - "", - ] - - def add_tree_item(name: str, prefix: str = "", is_last: bool = False) -> tuple[str, str]: - """Helper to format a tree item with proper prefix.""" - marker = "└── " if is_last else "β”œβ”€β”€ " - indent = " " if is_last else "β”‚ " - return prefix + marker + name, prefix + indent - - def build_tree(items: list[tuple[str, bool, "DirectoryInfo | None"]], prefix: str = "") -> list[str]: - """Recursively build tree with proper indentation.""" - if not items: - return [] - - result = [] - for i, (name, is_dir, dir_info) in enumerate(items): - is_last = i == len(items) - 1 - line, new_prefix = add_tree_item(name, prefix, is_last) - result.append(line) - - # If this is a directory and not a leaf node, show its contents - if dir_info and not dir_info.is_leaf: - subitems = [] - # Add files first - if dir_info.files: - for f in sorted(dir_info.files): - subitems.append((f, False, None)) - # Then add subdirectories - for d in dir_info.subdirectories: - subitems.append((d.name + "/", True, d)) - - result.extend(build_tree(subitems, new_prefix)) - - return result - - # Sort files and directories - items = [] - if self.files: - for f in sorted(self.files): - items.append((f, False, None)) - for d in self.subdirectories: - items.append((d.name + "/", True, d)) - - if not items: - lines.append("(empty directory)") - return "\n".join(lines) - - # Generate tree - lines.extend(build_tree(items)) - - return "\n".join(lines) - - def to_artifacts(self) -> ListDirectoryArtifacts: - """Convert directory info to artifacts for UI.""" - artifacts: ListDirectoryArtifacts = { - "dirpath": self.path, - "name": self.name, - "is_leaf": self.is_leaf, - "depth": self.depth, - "max_depth": self.max_depth, - } - - if self.files is not None: - artifacts["files"] = self.files - artifacts["file_paths"] = [f"{self.path}/{f}" for f in self.files] - - if self.subdirectories: - artifacts["subdirs"] = [d.name for d in self.subdirectories] - artifacts["subdir_paths"] = [d.path for d in self.subdirectories] - - return artifacts - - -class ListDirectoryObservation(Observation): - """Response from listing directory contents.""" - - directory_info: DirectoryInfo = Field( - description="Information about the directory", - ) - - str_template: ClassVar[str] = "{directory_info}" - - def render(self, tool_call_id: str) -> ToolMessage: - """Render directory listing with artifacts for UI.""" - if self.status == "error": - error_artifacts: ListDirectoryArtifacts = { - "dirpath": self.directory_info.path, - "name": self.directory_info.name, - "error": self.error, - } - return ToolMessage( - content=f"[ERROR LISTING DIRECTORY]: {self.directory_info.path}: {self.error}", - status=self.status, - name="list_directory", - artifact=error_artifacts, - tool_call_id=tool_call_id, - ) - - return ToolMessage( - content=self.directory_info.render_as_string(), - status=self.status, - name="list_directory", - artifact=self.directory_info.to_artifacts(), - tool_call_id=tool_call_id, - ) - - -def list_directory(codebase: Codebase, path: str = "./", depth: int = 2) -> ListDirectoryObservation: - """List contents of a directory. - - Args: - codebase: The codebase to operate on - path: Path to directory relative to workspace root - depth: How deep to traverse the directory tree. Default is 1 (immediate children only). - Use -1 for unlimited depth. - """ - try: - directory = codebase.get_directory(path) - except ValueError: - return ListDirectoryObservation( - status="error", - error=f"Directory not found: {path}", - directory_info=DirectoryInfo( - status="error", - name=path.split("/")[-1], - path=path, - files=[], - subdirectories=[], - ), - ) - - def get_directory_info(dir_obj: Directory, current_depth: int, max_depth: int) -> DirectoryInfo: - """Helper function to get directory info recursively.""" - # Get direct files (always include files unless at max depth) - all_files = [] - for file_name in dir_obj.file_names: - all_files.append(file_name) - - # Get direct subdirectories - subdirs = [] - for subdir in dir_obj.subdirectories(recursive=True): - # Only include direct descendants - if subdir.parent == dir_obj: - if current_depth > 1 or current_depth == -1: - # For deeper traversal, get full directory info - new_depth = current_depth - 1 if current_depth > 1 else -1 - subdirs.append(get_directory_info(subdir, new_depth, max_depth)) - else: - # At max depth, return a leaf node - subdirs.append( - DirectoryInfo( - status="success", - name=subdir.name, - path=subdir.dirpath, - files=None, # Don't include files at max depth - is_leaf=True, - depth=current_depth, - max_depth=max_depth, - ) - ) - - return DirectoryInfo( - status="success", - name=dir_obj.name, - path=dir_obj.dirpath, - files=sorted(all_files), - subdirectories=subdirs, - depth=current_depth, - max_depth=max_depth, - ) - - dir_info = get_directory_info(directory, depth, depth) - return ListDirectoryObservation( - status="success", - directory_info=dir_info, - ) diff --git a/src/codegen/extensions/tools/move_symbol.py b/src/codegen/extensions/tools/move_symbol.py deleted file mode 100644 index 9ef3a5a85..000000000 --- a/src/codegen/extensions/tools/move_symbol.py +++ /dev/null @@ -1,141 +0,0 @@ -"""Tool for moving symbols between files.""" - -from typing import ClassVar, Literal - -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from .observation import Observation -from .view_file import ViewFileObservation, view_file - - -class MoveSymbolObservation(Observation): - """Response from moving a symbol between files.""" - - symbol_name: str = Field( - description="Name of the symbol that was moved", - ) - source_file: str = Field( - description="Path to the source file", - ) - target_file: str = Field( - description="Path to the target file", - ) - source_file_info: ViewFileObservation = Field( - description="Information about the source file after move", - ) - target_file_info: ViewFileObservation = Field( - description="Information about the target file after move", - ) - - str_template: ClassVar[str] = "Moved symbol {symbol_name} from {source_file} to {target_file}" - - -def move_symbol( - codebase: Codebase, - source_file: str, - symbol_name: str, - target_file: str, - strategy: Literal["update_all_imports", "add_back_edge"] = "update_all_imports", - include_dependencies: bool = True, -) -> MoveSymbolObservation: - """Move a symbol from one file to another. - - Args: - codebase: The codebase to operate on - source_file: Path to the file containing the symbol - symbol_name: Name of the symbol to move - target_file: Path to the destination file - strategy: Strategy for handling imports: - - "update_all_imports": Updates all import statements across the codebase (default) - - "add_back_edge": Adds import and re-export in the original file - include_dependencies: Whether to move dependencies along with the symbol - - Returns: - MoveSymbolObservation containing move status and updated file info - """ - try: - source = codebase.get_file(source_file) - except ValueError: - return MoveSymbolObservation( - status="error", - error=f"Source file not found: {source_file}", - symbol_name=symbol_name, - source_file=source_file, - target_file=target_file, - source_file_info=ViewFileObservation( - status="error", - error=f"Source file not found: {source_file}", - filepath=source_file, - content="", - line_count=0, - ), - target_file_info=ViewFileObservation( - status="error", - error=f"Source file not found: {source_file}", - filepath=target_file, - content="", - line_count=0, - ), - ) - - try: - target = codebase.get_file(target_file) - except ValueError: - return MoveSymbolObservation( - status="error", - error=f"Target file not found: {target_file}", - symbol_name=symbol_name, - source_file=source_file, - target_file=target_file, - source_file_info=ViewFileObservation( - status="error", - error=f"Target file not found: {target_file}", - filepath=source_file, - content="", - line_count=0, - ), - target_file_info=ViewFileObservation( - status="error", - error=f"Target file not found: {target_file}", - filepath=target_file, - content="", - line_count=0, - ), - ) - - symbol = source.get_symbol(symbol_name) - if not symbol: - return MoveSymbolObservation( - status="error", - error=f"Symbol '{symbol_name}' not found in {source_file}", - symbol_name=symbol_name, - source_file=source_file, - target_file=target_file, - source_file_info=view_file(codebase, source_file), - target_file_info=view_file(codebase, target_file), - ) - - try: - symbol.move_to_file(target, include_dependencies=include_dependencies, strategy=strategy) - codebase.commit() - - return MoveSymbolObservation( - status="success", - symbol_name=symbol_name, - source_file=source_file, - target_file=target_file, - source_file_info=view_file(codebase, source_file), - target_file_info=view_file(codebase, target_file), - ) - except Exception as e: - return MoveSymbolObservation( - status="error", - error=f"Failed to move symbol: {e!s}", - symbol_name=symbol_name, - source_file=source_file, - target_file=target_file, - source_file_info=view_file(codebase, source_file), - target_file_info=view_file(codebase, target_file), - ) diff --git a/src/codegen/extensions/tools/observation.py b/src/codegen/extensions/tools/observation.py deleted file mode 100644 index 6cde37317..000000000 --- a/src/codegen/extensions/tools/observation.py +++ /dev/null @@ -1,92 +0,0 @@ -"""Base class for tool observations/responses.""" - -import json -from typing import Any, ClassVar, Optional - -from langchain_core.messages import ToolMessage -from pydantic import BaseModel, Field - -from codegen.shared.logging.get_logger import get_logger - -logger = get_logger(__name__) - - -class Observation(BaseModel): - """Base class for all tool observations. - - All tool responses should inherit from this class to ensure consistent - handling and string representations. - """ - - status: str = Field( - default="success", - description="Status of the operation - 'success' or 'error'", - ) - error: Optional[str] = Field( - default=None, - description="Error message if status is 'error'", - ) - - # Class variable to store a template for string representation - str_template: ClassVar[str] = "{status}: {details}" - - def _get_details(self) -> dict[str, Any]: - """Get the details to include in string representation. - - Override this in subclasses to customize string output. - By default, includes all fields except status and error. - """ - return self.model_dump() - - def __str__(self) -> str: - """Get string representation of the observation.""" - if self.status == "error": - return f"Error: {self.error}" - return self.render_as_string() - - def __repr__(self) -> str: - """Get detailed string representation of the observation.""" - return f"{self.__class__.__name__}({self.model_dump_json()})" - - def render_as_string(self, max_tokens: int = 8000) -> str: - """Render the observation as a string. - - This is used for string representation and as the content field - in the ToolMessage. Subclasses can override this to customize - their string output format. - """ - rendered = json.dumps(self.model_dump(), indent=2) - if len(rendered) > (max_tokens * 3): - logger.error(f"Observation is too long to render: {len(rendered) * 3} tokens") - return rendered[:max_tokens] + "\n\n...truncated...\n\n" - return rendered - - def render(self, tool_call_id: Optional[str] = None) -> ToolMessage | str: - """Render the observation as a ToolMessage or string. - - Args: - tool_call_id: Optional[str] = None - If provided, return a ToolMessage. - If None, return a string representation. - - Returns: - ToolMessage or str containing the observation content and metadata. - For error cases, includes error information in artifacts. - """ - if tool_call_id is None: - return self.render_as_string() - - # Get content first in case render_as_string has side effects - content = self.render_as_string() - - if self.status == "error": - return ToolMessage( - content=content, - status=self.status, - tool_call_id=tool_call_id, - ) - - return ToolMessage( - content=content, - status=self.status, - tool_call_id=tool_call_id, - ) diff --git a/src/codegen/extensions/tools/reflection.py b/src/codegen/extensions/tools/reflection.py deleted file mode 100644 index 6e5aad3d6..000000000 --- a/src/codegen/extensions/tools/reflection.py +++ /dev/null @@ -1,225 +0,0 @@ -"""Tool for agent self-reflection and planning.""" - -from typing import ClassVar, Optional - -from langchain_core.messages import HumanMessage, SystemMessage -from langchain_core.output_parsers import StrOutputParser -from langchain_core.prompts import ChatPromptTemplate -from pydantic import Field - -from codegen.extensions.langchain.llm import LLM -from codegen.sdk.core.codebase import Codebase - -from .observation import Observation - - -class ReflectionSection(Observation): - """A section of the reflection output.""" - - title: str = Field(description="Title of the section") - content: str = Field(description="Content of the section") - - str_template: ClassVar[str] = "{title}:\n{content}" - - -class ReflectionObservation(Observation): - """Response from agent reflection.""" - - context_summary: str = Field(description="Summary of the current context") - findings: str = Field(description="Key information and insights gathered") - challenges: Optional[str] = Field(None, description="Current obstacles or questions") - focus: Optional[str] = Field(None, description="Specific aspect focused on") - sections: list[ReflectionSection] = Field(description="Structured reflection sections") - - str_template: ClassVar[str] = "Reflection on: {focus}" - - def _get_details(self) -> dict[str, str]: - """Get details for string representation.""" - return { - "focus": self.focus or "current understanding and next steps", - } - - def render(self) -> str: - """Render the reflection as a formatted string.""" - output = [] - - # Add header - if self.focus: - output.append(f"# Reflection on: {self.focus}") - else: - output.append("# Agent Reflection") - - # Add each section - for section in self.sections: - output.append(f"\n## {section.title}") - output.append(section.content) - - return "\n".join(output) - - -# System prompt for the reflection LLM -REFLECTION_SYSTEM_PROMPT = """You are an expert AI assistant specialized in reflection and strategic planning. -Your task is to help organize thoughts, identify knowledge gaps, and create a strategic plan based on the information provided. - -**YOU MUST ABSTAIN FROM SUGGESTING THE AGENT WRITES NEW TESTS OR MODIFIES EXISTING TESTS.** - -You will be given: -1. A summary of the current context and problem being solved -2. Key information and insights gathered so far -3. Current obstacles or questions that need to be addressed (if any) -4. A specific aspect to focus the reflection on (if any) - -**YOU MUST ABSTAIN FROM SUGGESTING THE AGENT WRITES NEW TESTS OR MODIFIES EXISTING TESTS.** - -Your response should be structured into the following sections: -1. Current Understanding - Summarize what you understand about the problem and context -2. Key Insights - Highlight the most important findings and their implications -3. Knowledge Gaps (if challenges are provided) - Identify what information is still missing -4. Action Plan - Recommend specific next steps to move forward -5. Alternative Approaches - Suggest other ways to tackle the problem - -**YOU MUST ABSTAIN FROM SUGGESTING THE AGENT WRITES NEW TESTS OR MODIFIES EXISTING TESTS.** - -Your reflection should be clear, insightful, and actionable. Focus on helping the agent make progress and double check its own work. -You will not suggest the agent writes new tests or modifies existing tests. - -**YOU MUST ABSTAIN FROM SUGGESTING THE AGENT WRITES NEW TESTS OR MODIFIES EXISTING TESTS.** -""" - - -def parse_reflection_response(response: str) -> list[ReflectionSection]: - """Parse the LLM response into structured reflection sections. - - Args: - response: Raw LLM response text - - Returns: - List of ReflectionSection objects - """ - sections = [] - current_section = None - current_content = [] - - # Split the response into lines - lines = response.strip().split("\n") - - for line in lines: - # Check if this is a section header (starts with ## or #) - if line.startswith("## ") or (line.startswith("# ") and not line.startswith("# Reflection")): - # If we have a current section, save it before starting a new one - if current_section: - sections.append(ReflectionSection(title=current_section, content="\n".join(current_content).strip())) - current_content = [] - - # Extract the new section title - current_section = line.lstrip("#").strip() - elif current_section: - # Add content to the current section - current_content.append(line) - - # Add the last section if there is one - if current_section and current_content: - sections.append(ReflectionSection(title=current_section, content="\n".join(current_content).strip())) - - return sections - - -def perform_reflection( - context_summary: str, - findings_so_far: str, - current_challenges: str = "", - reflection_focus: Optional[str] = None, - codebase: Optional[Codebase] = None, -) -> ReflectionObservation: - """Perform agent reflection to organize thoughts and plan next steps. - - This function helps the agent consolidate its understanding, identify knowledge gaps, - and create a strategic plan for moving forward. - - Args: - context_summary: Summary of the current context and problem being solved - findings_so_far: Key information and insights gathered so far - current_challenges: Current obstacles or questions that need to be addressed - reflection_focus: Optional specific aspect to focus reflection on - codebase: Optional codebase context for code-specific reflections - - Returns: - ReflectionObservation containing structured reflection sections - """ - try: - # Create the prompt for the LLM - system_message = SystemMessage(content=REFLECTION_SYSTEM_PROMPT) - - # Construct the human message with all the context - human_message_content = f""" -Context Summary: -{context_summary} - -Key Findings: -{findings_so_far} -""" - - # Add challenges if provided - if current_challenges: - human_message_content += f""" -Current Challenges: -{current_challenges} -""" - - # Add reflection focus if provided - if reflection_focus: - human_message_content += f""" -Reflection Focus: -{reflection_focus} -""" - - # Add codebase context if available and relevant - if codebase and (reflection_focus and "code" in reflection_focus.lower()): - # In a real implementation, you might add relevant codebase context here - # For example, listing key files or symbols related to the reflection focus - human_message_content += f""" -Codebase Context: -- Working with codebase at: {codebase.root} -""" - - human_message = HumanMessage(content=human_message_content) - prompt = ChatPromptTemplate.from_messages([system_message, human_message]) - - # Initialize the LLM - llm = LLM( - model_provider="anthropic", - model_name="claude-3-7-sonnet-latest", - temperature=0.2, # Slightly higher temperature for more creative reflection - max_tokens=4000, - ) - - # Create and execute the chain - chain = prompt | llm | StrOutputParser() - response = chain.invoke({}) - - # Parse the response into sections - sections = parse_reflection_response(response) - - # If no sections were parsed, create a default section with the full response - if not sections: - sections = [ReflectionSection(title="Reflection", content=response)] - - return ReflectionObservation( - status="success", - context_summary=context_summary, - findings=findings_so_far, - challenges=current_challenges, - focus=reflection_focus, - sections=sections, - ) - - except Exception as e: - return ReflectionObservation( - status="error", - error=f"Failed to perform reflection: {e!s}", - context_summary=context_summary, - findings=findings_so_far, - challenges=current_challenges, - focus=reflection_focus, - sections=[], - ) diff --git a/src/codegen/extensions/tools/relace_edit.py b/src/codegen/extensions/tools/relace_edit.py deleted file mode 100644 index 0f7637bb8..000000000 --- a/src/codegen/extensions/tools/relace_edit.py +++ /dev/null @@ -1,201 +0,0 @@ -"""Tool for making edits to files using the Relace Instant Apply API.""" - -import difflib -import os -from typing import TYPE_CHECKING, ClassVar - -import requests -from langchain_core.messages import ToolMessage -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from .observation import Observation -from .view_file import add_line_numbers - -if TYPE_CHECKING: - from codegen.extensions.tools.tool_output_types import RelaceEditArtifacts - - -class RelaceEditObservation(Observation): - """Response from making edits to a file using Relace Instant Apply API.""" - - filepath: str = Field( - description="Path to the edited file", - ) - diff: str | None = Field( - default=None, - description="Unified diff showing the changes made", - ) - new_content: str | None = Field( - default=None, - description="New content with line numbers", - ) - line_count: int | None = Field( - default=None, - description="Total number of lines in file", - ) - - str_template: ClassVar[str] = "Edited file {filepath} using Relace Instant Apply" - - def render(self, tool_call_id: str) -> ToolMessage: - """Render the relace edit observation as a ToolMessage.""" - artifacts: RelaceEditArtifacts = { - "filepath": self.filepath, - "diff": self.diff, - "new_content": self.new_content, - "line_count": self.line_count, - "error": self.error, - } - - if self.status == "error": - return ToolMessage( - content=f"[ERROR EDITING FILE]: {self.filepath}: {self.error}", - status=self.status, - name="relace_edit", - artifact=artifacts, - tool_call_id=tool_call_id, - ) - - return ToolMessage( - content=self.render_as_string(), - status=self.status, - name="relace_edit", - tool_call_id=tool_call_id, - artifact=artifacts, - ) - - -def generate_diff(original: str, modified: str) -> str: - """Generate a unified diff between two strings. - - Args: - original: Original content - modified: Modified content - - Returns: - Unified diff as a string - """ - original_lines = original.splitlines(keepends=True) - modified_lines = modified.splitlines(keepends=True) - - diff = difflib.unified_diff( - original_lines, - modified_lines, - fromfile="original", - tofile="modified", - lineterm="", - ) - - return "".join(diff) - - -def get_relace_api_key() -> str: - """Get the Relace API key from environment variables. - - Returns: - The Relace API key - - Raises: - ValueError: If the API key is not found - """ - api_key = os.environ.get("RELACE_API") - if not api_key: - msg = "RELACE_API environment variable not found. Please set it in your .env file." - raise ValueError(msg) - return api_key - - -def apply_relace_edit(api_key: str, initial_code: str, edit_snippet: str, stream: bool = False) -> str: - """Apply an edit using the Relace Instant Apply API. - - Args: - api_key: Relace API key - initial_code: The existing code to modify - edit_snippet: The edit snippet containing the modifications - stream: Whether to enable streaming response - - Returns: - The merged code - - Raises: - Exception: If the API request fails - """ - url = "https://codegen-instantapply.endpoint.relace.run/v1/code/apply" - headers = {"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"} - - data = {"initialCode": initial_code, "editSnippet": edit_snippet, "stream": stream} - - try: - response = requests.post(url, headers=headers, json=data) - response.raise_for_status() - return response.json()["mergedCode"] - except Exception as e: - msg = f"Relace API request failed: {e!s}" - raise Exception(msg) - - -def relace_edit(codebase: Codebase, filepath: str, edit_snippet: str, api_key: str | None = None) -> RelaceEditObservation: - """Edit a file using the Relace Instant Apply API. - - Args: - codebase: Codebase object - filepath: Path to the file to edit - edit_snippet: The edit snippet containing the modifications - api_key: Optional Relace API key. If not provided, will be retrieved from environment variables. - - Returns: - RelaceEditObservation with the results - """ - try: - file = codebase.get_file(filepath) - except ValueError: - # Return an observation with error status instead of raising an exception - # Include the full filepath in the error message - return RelaceEditObservation( - status="error", - error=f"File not found: {filepath}. Please provide the full filepath relative to the repository root.", - filepath=filepath, - ) - - # Get the original content - original_content = file.content - original_lines = original_content.split("\n") - - # Get API key if not provided - if api_key is None: - try: - api_key = get_relace_api_key() - except ValueError as e: - return RelaceEditObservation( - status="error", - error=str(e), - filepath=filepath, - ) - - # Apply the edit using Relace API - try: - merged_code = apply_relace_edit(api_key, original_content, edit_snippet) - if original_content.endswith("\n") and not merged_code.endswith("\n"): - merged_code += "\n" - except Exception as e: - return RelaceEditObservation( - status="error", - error=str(e), - filepath=filepath, - ) - - # Generate diff - diff = generate_diff(original_content, merged_code) - - # Apply the edit to the file - file.edit(merged_code) - codebase.commit() - - return RelaceEditObservation( - status="success", - filepath=filepath, - diff=diff, - new_content=add_line_numbers(merged_code), - line_count=len(merged_code.split("\n")), - ) diff --git a/src/codegen/extensions/tools/relace_edit_prompts.py b/src/codegen/extensions/tools/relace_edit_prompts.py deleted file mode 100644 index 2c189d5c8..000000000 --- a/src/codegen/extensions/tools/relace_edit_prompts.py +++ /dev/null @@ -1,94 +0,0 @@ -"""Prompts for the Relace edit tool.""" - -RELACE_EDIT_PROMPT = """Edit a file using the Relace Instant Apply API. - -⚠️ IMPORTANT: The 'edit_snippet' parameter must be provided as a direct string, NOT as a dictionary or JSON object. -For example, use: edit_snippet="// ... code here ..." NOT edit_snippet={"code": "// ... code here ..."} -DO NOT pass the edit_snippet as a dictionary or JSON object or dictionary with a 'code' key . - -The Relace Instant Apply API is a high-speed code generation engine optimized for real-time performance at 2000 tokens/second. It splits code generation into two specialized steps: - -1. Hard Reasoning: Uses SOTA models like Claude for complex code understanding -2. Fast Integration: Rapidly merges edits into existing code - -To use this tool effectively, provide: -1. The path to the file you want to edit (filepath) -2. An edit snippet that describes the changes you want to make (edit_snippet) - -The edit snippet is crucial for successful merging and should follow these guidelines: -- Include complete code blocks that will appear in the final output -- Clearly indicate which parts of the code remain unchanged with descriptive comments like: - * "// ... keep existing imports ..." - * "// ... rest of the class definition ..." - * "// ... existing function implementations ..." -- Maintain correct indentation and code structure exactly as it should appear in the final code -- Use comments to indicate the purpose of your changes (e.g., "// Add new function") -- For removing sections, provide sufficient context so it's clear what should be removed -- Focus only on the modifications, not other aspects of the code -- Preserve language-specific syntax (comment style may vary by language) -- Include more context than just the minimal changes - surrounding code helps the API understand where and how to apply the edit - -Example edit snippet: -``` -// ... keep existing imports ... - -// Add new function -function calculateDiscount(price, discountPercent) { - return price * (discountPercent / 100); -} - -// ... keep existing code ... -``` - -Another example (Python): -``` -# ... existing imports ... - -# Add new helper function -def validate_input(data): - '''Validates the input data structure.''' - if not isinstance(data, dict): - raise TypeError("Input must be a dictionary") - if "id" not in data: - raise ValueError("Input must contain an 'id' field") - return True - -# ... rest of the file ... -``` - -The API will merge your edit snippet with the existing code to produce the final result. -The API key will be automatically retrieved from the RELACE_API environment variable. - -Common pitfalls to avoid: -- Not providing enough context around changes -- Providing too little surrounding code (include more than just the changed lines) -- Incorrect indentation in the edit snippet -- Forgetting to indicate unchanged sections with comments -- Using inconsistent comment styles -- Being too vague about where changes should be applied -- Passing the edit_snippet as a dictionary or JSON object instead of a direct string -""" - -RELACE_EDIT_SYSTEM_PROMPT = """You are an expert at creating edit snippets for the Relace Instant Apply API. - -Your job is to create an edit snippet that describes how to modify the provided existing code according to user specifications. - -Follow these guidelines: -1. Focus only on the MODIFICATION REQUEST, not other aspects of the code -2. Abbreviate unchanged sections with "// ... rest of headers/sections/code ..." (be descriptive in the comment) -3. Indicate the location and nature of modifications with comments and ellipses -4. Preserve indentation and code structure exactly as it should appear in the final code -5. Do not output lines that will not be in the final code after merging -6. If removing a section, provide relevant context so it's clear what should be removed - -Do NOT provide commentary or explanations - only the code with a focus on the modifications. -""" - -RELACE_EDIT_USER_PROMPT = """EXISTING CODE: -{initial_code} - -MODIFICATION REQUEST: -{user_instructions} - -Create an edit snippet that can be used with the Relace Instant Apply API to implement these changes. -""" diff --git a/src/codegen/extensions/tools/rename_file.py b/src/codegen/extensions/tools/rename_file.py deleted file mode 100644 index 832588d8b..000000000 --- a/src/codegen/extensions/tools/rename_file.py +++ /dev/null @@ -1,95 +0,0 @@ -"""Tool for renaming files and updating imports.""" - -from typing import ClassVar - -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from .observation import Observation -from .view_file import ViewFileObservation, view_file - - -class RenameFileObservation(Observation): - """Response from renaming a file.""" - - old_filepath: str = Field( - description="Original path of the file", - ) - new_filepath: str = Field( - description="New path of the file", - ) - file_info: ViewFileObservation = Field( - description="Information about the renamed file", - ) - - str_template: ClassVar[str] = "Renamed file from {old_filepath} to {new_filepath}" - - -def rename_file(codebase: Codebase, filepath: str, new_filepath: str) -> RenameFileObservation: - """Rename a file and update all imports to point to the new location. - - Args: - codebase: The codebase to operate on - filepath: Current path of the file relative to workspace root - new_filepath: New path for the file relative to workspace root - - Returns: - RenameFileObservation containing rename status and new file info - """ - try: - file = codebase.get_file(filepath) - except ValueError: - return RenameFileObservation( - status="error", - error=f"File not found: {filepath}", - old_filepath=filepath, - new_filepath=new_filepath, - file_info=ViewFileObservation( - status="error", - error=f"File not found: {filepath}", - filepath=filepath, - content="", - line_count=0, - ), - ) - - if codebase.has_file(new_filepath): - return RenameFileObservation( - status="error", - error=f"Destination file already exists: {new_filepath}", - old_filepath=filepath, - new_filepath=new_filepath, - file_info=ViewFileObservation( - status="error", - error=f"Destination file already exists: {new_filepath}", - filepath=new_filepath, - content="", - line_count=0, - ), - ) - - try: - file.update_filepath(new_filepath) - codebase.commit() - - return RenameFileObservation( - status="success", - old_filepath=filepath, - new_filepath=new_filepath, - file_info=view_file(codebase, new_filepath), - ) - except Exception as e: - return RenameFileObservation( - status="error", - error=f"Failed to rename file: {e!s}", - old_filepath=filepath, - new_filepath=new_filepath, - file_info=ViewFileObservation( - status="error", - error=f"Failed to rename file: {e!s}", - filepath=filepath, - content="", - line_count=0, - ), - ) diff --git a/src/codegen/extensions/tools/replacement_edit.py b/src/codegen/extensions/tools/replacement_edit.py deleted file mode 100644 index aa5cd98be..000000000 --- a/src/codegen/extensions/tools/replacement_edit.py +++ /dev/null @@ -1,186 +0,0 @@ -"""Tool for making regex-based replacements in files.""" - -import difflib -import re -from typing import ClassVar, Optional - -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from .observation import Observation -from .view_file import add_line_numbers - - -class ReplacementEditObservation(Observation): - """Response from making regex-based replacements in a file.""" - - filepath: str = Field( - description="Path to the edited file", - ) - diff: Optional[str] = Field( - default=None, - description="Unified diff showing the changes made", - ) - new_content: Optional[str] = Field( - default=None, - description="New content with line numbers", - ) - message: Optional[str] = Field( - default=None, - description="Message describing the result", - ) - error: Optional[str] = Field( - default=None, - description="Error message if an error occurred", - ) - error_pattern: Optional[str] = Field( - default=None, - description="Regex pattern that failed to compile", - ) - - str_template: ClassVar[str] = "{message}" if "{message}" else "Edited file {filepath}" - - -def generate_diff(original: str, modified: str) -> str: - """Generate a unified diff between two strings. - - Args: - original: Original content - modified: Modified content - - Returns: - Unified diff as a string - """ - original_lines = original.splitlines(keepends=True) - modified_lines = modified.splitlines(keepends=True) - - diff = difflib.unified_diff( - original_lines, - modified_lines, - fromfile="original", - tofile="modified", - lineterm="", - ) - - return "".join(diff) - - -def _merge_content(original_content: str, edited_content: str, start: int, end: int) -> str: - """Merge edited content with original content, preserving content outside the edit range. - - Args: - original_content: Original file content - edited_content: New content for the specified range - start: Start line (1-indexed) - end: End line (1-indexed or -1 for end of file) - - Returns: - Merged content - """ - original_lines = original_content.split("\n") - edited_lines = edited_content.split("\n") - - if start == -1 and end == -1: # Append mode - return original_content + "\n" + edited_content - - # Convert to 0-indexed - start_idx = start - 1 - end_idx = end - 1 if end != -1 else len(original_lines) - - # Merge the content - result_lines = original_lines[:start_idx] + edited_lines + original_lines[end_idx + 1 :] - - return "\n".join(result_lines) - - -def replacement_edit( - codebase: Codebase, - filepath: str, - pattern: str, - replacement: str, - start: int = 1, - end: int = -1, - count: Optional[int] = None, - flags: re.RegexFlag = re.MULTILINE, -) -> ReplacementEditObservation: - """Replace text in a file using regex pattern matching. - - Args: - codebase: The codebase to operate on - filepath: Path to the file to edit - pattern: Regex pattern to match - replacement: Replacement text (can include regex groups) - start: Start line (1-indexed, default: 1) - end: End line (1-indexed, -1 for end of file) - count: Maximum number of replacements (None for all) - flags: Regex flags (default: re.MULTILINE) - - Returns: - ReplacementEditObservation containing edit results and status - - Raises: - FileNotFoundError: If file not found - ValueError: If invalid line range or regex pattern - """ - try: - file = codebase.get_file(filepath) - except ValueError: - msg = f"File not found: {filepath}" - raise FileNotFoundError(msg) - - # Get the original content - original_content = file.content - original_lines = original_content.split("\n") - - # Get the section to edit - total_lines = len(original_lines) - start_idx = start - 1 - end_idx = end - 1 if end != -1 else total_lines - - # Get the content to edit - section_lines = original_lines[start_idx : end_idx + 1] - section_content = "\n".join(section_lines) - - try: - # Compile pattern for better error messages - regex = re.compile(pattern, flags) - except re.error as e: - return ReplacementEditObservation( - status="error", - error=f"Invalid regex pattern: {e!s}", - error_pattern=pattern, - filepath=filepath, - message="Invalid regex pattern", - ) - - # Perform the replacement - if count is None: - new_section = regex.sub(replacement, section_content) - else: - new_section = regex.sub(replacement, section_content, count=count) - - # If no changes were made, return early - if new_section == section_content: - return ReplacementEditObservation( - status="unchanged", - message="No matches found for the given pattern", - filepath=filepath, - ) - - # Merge the edited content with the original - new_content = _merge_content(original_content, new_section, start, end) - - # Generate diff - diff = generate_diff(original_content, new_content) - - # Apply the edit - file.edit(new_content) - codebase.commit() - - return ReplacementEditObservation( - status="success", - filepath=filepath, - diff=diff, - new_content=add_line_numbers(new_content), - ) diff --git a/src/codegen/extensions/tools/reveal_symbol.py b/src/codegen/extensions/tools/reveal_symbol.py deleted file mode 100644 index c91b0a111..000000000 --- a/src/codegen/extensions/tools/reveal_symbol.py +++ /dev/null @@ -1,316 +0,0 @@ -"""Tool for revealing symbol dependencies and usages.""" - -from typing import Any, ClassVar, Optional - -import tiktoken -from pydantic import Field - -from codegen.sdk.ai.utils import count_tokens -from codegen.sdk.core.codebase import Codebase -from codegen.sdk.core.external_module import ExternalModule -from codegen.sdk.core.import_resolution import Import -from codegen.sdk.core.symbol import Symbol - -from .observation import Observation - - -class SymbolInfo(Observation): - """Information about a symbol.""" - - name: str = Field(description="Name of the symbol") - filepath: Optional[str] = Field(description="Path to the file containing the symbol") - source: str = Field(description="Source code of the symbol") - - str_template: ClassVar[str] = "{name} in {filepath}" - - -class RevealSymbolObservation(Observation): - """Response from revealing symbol dependencies and usages.""" - - dependencies: Optional[list[SymbolInfo]] = Field( - default=None, - description="List of symbols this symbol depends on", - ) - usages: Optional[list[SymbolInfo]] = Field( - default=None, - description="List of symbols that use this symbol", - ) - truncated: bool = Field( - default=False, - description="Whether results were truncated due to token limit", - ) - valid_filepaths: Optional[list[str]] = Field( - default=None, - description="List of valid filepaths when symbol is ambiguous", - ) - - str_template: ClassVar[str] = "Symbol info: {dependencies_count} dependencies, {usages_count} usages" - - def _get_details(self) -> dict[str, Any]: - """Get details for string representation.""" - return { - "dependencies_count": len(self.dependencies or []), - "usages_count": len(self.usages or []), - } - - -def truncate_source(source: str, max_tokens: int) -> str: - """Truncate source code to fit within max_tokens while preserving meaning. - - Attempts to keep the most important parts of the code by: - 1. Keeping function/class signatures - 2. Preserving imports - 3. Keeping the first and last parts of the implementation - """ - if not max_tokens or max_tokens <= 0: - return source - - enc = tiktoken.get_encoding("cl100k_base") - tokens = enc.encode(source) - - if len(tokens) <= max_tokens: - return source - - # Split into lines while preserving line endings - lines = source.splitlines(keepends=True) - - # Always keep first 2 lines (usually imports/signature) and last line (usually closing brace) - if len(lines) <= 3: - return source - - result = [] - current_tokens = 0 - - # Keep first 2 lines - for i in range(2): - line = lines[i] - line_tokens = len(enc.encode(line)) - if current_tokens + line_tokens > max_tokens: - break - result.append(line) - current_tokens += line_tokens - - # Add truncation indicator - truncation_msg = " # ... truncated ...\n" - truncation_tokens = len(enc.encode(truncation_msg)) - - # Keep last line if we have room - last_line = lines[-1] - last_line_tokens = len(enc.encode(last_line)) - - remaining_tokens = max_tokens - current_tokens - truncation_tokens - last_line_tokens - - if remaining_tokens > 0: - # Try to keep some middle content - for line in lines[2:-1]: - line_tokens = len(enc.encode(line)) - if current_tokens + line_tokens > remaining_tokens: - break - result.append(line) - current_tokens += line_tokens - - result.append(truncation_msg) - result.append(last_line) - - return "".join(result) - - -def get_symbol_info(symbol: Symbol, max_tokens: Optional[int] = None) -> SymbolInfo: - """Get relevant information about a symbol. - - Args: - symbol: The symbol to get info for - max_tokens: Optional maximum number of tokens for the source code - - Returns: - Dict containing symbol metadata and source - """ - source = symbol.source - if max_tokens: - source = truncate_source(source, max_tokens) - - return SymbolInfo( - status="success", - name=symbol.name, - filepath=symbol.file.filepath if symbol.file else None, - source=source, - ) - - -def hop_through_imports(symbol: Symbol, seen_imports: Optional[set[str]] = None) -> Symbol: - """Follow import chain to find the root symbol, stopping at ExternalModule.""" - if seen_imports is None: - seen_imports = set() - - # Base case: not an import or already seen - if not isinstance(symbol, Import) or symbol in seen_imports: - return symbol - - seen_imports.add(symbol.source) - - # Try to resolve the import - if isinstance(symbol.imported_symbol, ExternalModule): - return symbol.imported_symbol - elif isinstance(symbol.imported_symbol, Import): - return hop_through_imports(symbol.imported_symbol, seen_imports) - elif isinstance(symbol.imported_symbol, Symbol): - return symbol.imported_symbol - else: - return symbol.imported_symbol - - -def get_extended_context( - symbol: Symbol, - degree: int, - max_tokens: Optional[int] = None, - seen_symbols: Optional[set[Symbol]] = None, - current_degree: int = 0, - total_tokens: int = 0, - collect_dependencies: bool = True, - collect_usages: bool = True, -) -> tuple[list[SymbolInfo], list[SymbolInfo], int]: - """Recursively collect dependencies and usages up to specified degree. - - Args: - symbol: The symbol to analyze - degree: How many degrees of separation to traverse - max_tokens: Optional maximum number of tokens for all source code combined - seen_symbols: Set of symbols already processed - current_degree: Current recursion depth - total_tokens: Running count of tokens collected - collect_dependencies: Whether to collect dependencies - collect_usages: Whether to collect usages - - Returns: - Tuple of (dependencies, usages, total_tokens) - """ - if seen_symbols is None: - seen_symbols = set() - - if current_degree >= degree or symbol in seen_symbols: - return [], [], total_tokens - - seen_symbols.add(symbol) - - # Get direct dependencies and usages - dependencies = [] - usages = [] - - # Helper to check if we're under token limit - def under_token_limit() -> bool: - return not max_tokens or total_tokens < max_tokens - - # Process dependencies - if collect_dependencies: - for dep in symbol.dependencies: - if not under_token_limit(): - break - - dep = hop_through_imports(dep) - if dep not in seen_symbols: - # Calculate tokens for this symbol - info = get_symbol_info(dep, max_tokens=max_tokens) - symbol_tokens = count_tokens(info.source) if info.source else 0 - - if max_tokens and total_tokens + symbol_tokens > max_tokens: - continue - - dependencies.append(info) - total_tokens += symbol_tokens - - if current_degree + 1 < degree: - next_deps, next_uses, new_total = get_extended_context(dep, degree, max_tokens, seen_symbols, current_degree + 1, total_tokens, collect_dependencies, collect_usages) - dependencies.extend(next_deps) - usages.extend(next_uses) - total_tokens = new_total - - # Process usages - if collect_usages: - for usage in symbol.usages: - if not under_token_limit(): - break - - usage = usage.usage_symbol - usage = hop_through_imports(usage) - if usage not in seen_symbols: - # Calculate tokens for this symbol - info = get_symbol_info(usage, max_tokens=max_tokens) - symbol_tokens = count_tokens(info.source) if info.source else 0 - - if max_tokens and total_tokens + symbol_tokens > max_tokens: - continue - - usages.append(info) - total_tokens += symbol_tokens - - if current_degree + 1 < degree: - next_deps, next_uses, new_total = get_extended_context(usage, degree, max_tokens, seen_symbols, current_degree + 1, total_tokens, collect_dependencies, collect_usages) - dependencies.extend(next_deps) - usages.extend(next_uses) - total_tokens = new_total - - return dependencies, usages, total_tokens - - -def reveal_symbol( - codebase: Codebase, - symbol_name: str, - filepath: Optional[str] = None, - max_depth: Optional[int] = 1, - max_tokens: Optional[int] = None, - collect_dependencies: Optional[bool] = True, - collect_usages: Optional[bool] = True, -) -> RevealSymbolObservation: - """Reveal the dependencies and usages of a symbol up to N degrees. - - Args: - codebase: The codebase to analyze - symbol_name: The name of the symbol to analyze - filepath: Optional filepath to the symbol to analyze - max_depth: How many degrees of separation to traverse (default: 1) - max_tokens: Optional maximum number of tokens for all source code combined - collect_dependencies: Whether to collect dependencies (default: True) - collect_usages: Whether to collect usages (default: True) - - Returns: - Dict containing: - - dependencies: List of symbols this symbol depends on (if collect_dependencies=True) - - usages: List of symbols that use this symbol (if collect_usages=True) - - truncated: Whether the results were truncated due to max_tokens - - error: Optional error message if the symbol was not found - """ - symbols = codebase.get_symbols(symbol_name=symbol_name) - if len(symbols) == 0: - return RevealSymbolObservation( - status="error", - error=f"{symbol_name} not found", - ) - if len(symbols) > 1: - return RevealSymbolObservation( - status="error", - error=f"{symbol_name} is ambiguous", - valid_filepaths=[s.file.filepath for s in symbols], - ) - symbol = symbols[0] - if filepath: - if symbol.file.filepath != filepath: - return RevealSymbolObservation( - status="error", - error=f"{symbol_name} not found at {filepath}", - valid_filepaths=[s.file.filepath for s in symbols], - ) - - # Get dependencies and usages up to specified degree - dependencies, usages, total_tokens = get_extended_context(symbol, max_depth, max_tokens, collect_dependencies=collect_dependencies, collect_usages=collect_usages) - - was_truncated = max_tokens is not None and total_tokens >= max_tokens - - result = RevealSymbolObservation( - status="success", - truncated=was_truncated, - ) - if collect_dependencies: - result.dependencies = dependencies - if collect_usages: - result.usages = usages - return result diff --git a/src/codegen/extensions/tools/run_codemod.py b/src/codegen/extensions/tools/run_codemod.py deleted file mode 100644 index f73d13aff..000000000 --- a/src/codegen/extensions/tools/run_codemod.py +++ /dev/null @@ -1,71 +0,0 @@ -"""Tool for running custom codemod functions on the codebase.""" - -import importlib.util -import sys -from pathlib import Path -from tempfile import NamedTemporaryFile -from typing import Any - -from codegen.sdk.core.codebase import Codebase - - -def run_codemod(codebase: Codebase, codemod_source: str) -> dict[str, Any]: - """Run a custom codemod function on the codebase. - - The codemod_source should define a function like: - ```python - def run(codebase: Codebase): - # Make changes to the codebase - ... - ``` - - Args: - codebase: The codebase to operate on - codemod_source: Source code of the codemod function - - Returns: - Dict containing execution results and diffs - - Raises: - ValueError: If codemod source is invalid or execution fails - """ - # Create a temporary module to run the codemod - with NamedTemporaryFile(suffix=".py", mode="w", delete=False) as temp_file: - # Add imports and write the codemod source - temp_file.write("from codegen.sdk.core.codebase import Codebase\n\n") - temp_file.write(codemod_source) - temp_file.flush() - - try: - # Import the temporary module - spec = importlib.util.spec_from_file_location("codemod", temp_file.name) - if not spec or not spec.loader: - msg = "Failed to create module spec" - raise ValueError(msg) - - module = importlib.util.module_from_spec(spec) - sys.modules["codemod"] = module - spec.loader.exec_module(module) - - # Verify run function exists - if not hasattr(module, "run"): - msg = "Codemod must define a 'run' function" - raise ValueError(msg) - - # Run the codemod - module.run(codebase) - codebase.commit() - diff = codebase.get_diff() - - return { - "status": "success", - "diff": diff, - } - - except Exception as e: - msg = f"Codemod execution failed: {e!s}" - raise ValueError(msg) - - finally: - # Clean up temporary file - Path(temp_file.name).unlink() diff --git a/src/codegen/extensions/tools/search.py b/src/codegen/extensions/tools/search.py deleted file mode 100644 index 3f69be59c..000000000 --- a/src/codegen/extensions/tools/search.py +++ /dev/null @@ -1,444 +0,0 @@ -"""Simple text-based search functionality for the codebase. - -This performs either a regex pattern match or simple text search across all files in the codebase. -Each matching line will be returned with its line number. -Results are paginated with a default of 10 files per page. -""" - -import logging -import os -import re -import subprocess -from typing import ClassVar - -from langchain_core.messages import ToolMessage -from pydantic import Field - -from codegen.extensions.tools.tool_output_types import SearchArtifacts -from codegen.extensions.tools.tool_output_types import SearchMatch as SearchMatchDict -from codegen.sdk.core.codebase import Codebase - -from .observation import Observation - -logger = logging.getLogger(__name__) - - -class SearchMatch(Observation): - """Information about a single line match.""" - - line_number: int = Field( - description="1-based line number of the match", - ) - line: str = Field( - description="The full line containing the match", - ) - match: str = Field( - description="The specific text that matched", - ) - str_template: ClassVar[str] = "Line {line_number}: {match}" - - def render_as_string(self) -> str: - """Render match in a VSCode-like format.""" - return f"{self.line_number:>4}: {self.line}" - - def to_dict(self) -> SearchMatchDict: - """Convert to SearchMatch TypedDict format.""" - return { - "line_number": self.line_number, - "line": self.line, - "match": self.match, - } - - -class SearchFileResult(Observation): - """Search results for a single file.""" - - filepath: str = Field( - description="Path to the file containing matches", - ) - matches: list[SearchMatch] = Field( - description="List of matches found in this file", - ) - - str_template: ClassVar[str] = "{filepath}: {match_count} matches" - - def render_as_string(self) -> str: - """Render file results in a VSCode-like format.""" - lines = [ - f"πŸ“„ {self.filepath}", - ] - for match in self.matches: - lines.append(match.render_as_string()) - return "\n".join(lines) - - def _get_details(self) -> dict[str, str | int]: - """Get details for string representation.""" - return {"match_count": len(self.matches)} - - -class SearchObservation(Observation): - """Response from searching the codebase.""" - - query: str = Field( - description="The search query that was used", - ) - page: int = Field( - description="Current page number (1-based)", - ) - total_pages: int = Field( - description="Total number of pages available", - ) - total_files: int = Field( - description="Total number of files with matches", - ) - files_per_page: int = Field( - description="Number of files shown per page", - ) - results: list[SearchFileResult] = Field( - description="Search results for this page", - ) - - str_template: ClassVar[str] = "Found {total_files} files with matches for '{query}' (page {page}/{total_pages})" - - def render(self, tool_call_id: str) -> ToolMessage: - """Render search results in a VSCode-like format. - - Args: - tool_call_id: ID of the tool call that triggered this search - - Returns: - ToolMessage containing search results or error - """ - # Prepare artifacts dictionary with default values - artifacts: SearchArtifacts = { - "query": self.query, - "error": self.error if self.status == "error" else None, - "matches": [], # List[SearchMatchDict] - match data as TypedDict - "file_paths": [], # List[str] - file paths with matches - "page": self.page, - "total_pages": self.total_pages if self.status == "success" else 0, - "total_files": self.total_files if self.status == "success" else 0, - "files_per_page": self.files_per_page, - } - - # Handle error case early - if self.status == "error": - return ToolMessage( - content=f"[SEARCH ERROR]: {self.error}", - status=self.status, - name="search", - tool_call_id=tool_call_id, - artifact=artifacts, - ) - - # Build matches and file paths for success case - for result in self.results: - artifacts["file_paths"].append(result.filepath) - for match in result.matches: - # Convert match to SearchMatchDict format - match_dict = match.to_dict() - match_dict["filepath"] = result.filepath - artifacts["matches"].append(match_dict) - - # Build content lines - lines = [ - f"[SEARCH RESULTS]: {self.query}", - f"Found {self.total_files} files with matches (showing page {self.page} of {self.total_pages})", - "", - ] - - if not self.results: - lines.append("No matches found") - else: - # Add results with blank lines between files - for result in self.results: - lines.append(result.render_as_string()) - lines.append("") # Add blank line between files - - # Add pagination info if there are multiple pages - if self.total_pages > 1: - lines.append(f"Page {self.page}/{self.total_pages} (use page parameter to see more results)") - - return ToolMessage( - content="\n".join(lines), - status=self.status, - name="search", - tool_call_id=tool_call_id, - artifact=artifacts, - ) - - -def _search_with_ripgrep( - codebase: Codebase, - query: str, - file_extensions: list[str] | None = None, - page: int = 1, - files_per_page: int = 10, - use_regex: bool = False, -) -> SearchObservation: - """Search the codebase using ripgrep. - - This is faster than the Python implementation, especially for large codebases. - """ - # Build ripgrep command - cmd = ["rg", "--line-number"] - - # Add case insensitivity if not using regex - if not use_regex: - cmd.append("--fixed-strings") - cmd.append("--ignore-case") - - # Add file extensions if specified - if file_extensions: - for ext in file_extensions: - # Remove leading dot if present - ext = ext[1:] if ext.startswith(".") else ext - cmd.extend(["--type-add", f"custom:*.{ext}", "--type", "custom"]) - - # Add target directories if specified - search_path = str(codebase.repo_path) - - # Add the query and path - cmd.append(f"{query}") - cmd.append(search_path) - - # Run ripgrep - try: - logger.info(f"Running ripgrep command: {' '.join(cmd)}") - # Use text mode and UTF-8 encoding - result = subprocess.run( - cmd, - capture_output=True, - text=True, - encoding="utf-8", - check=False, # Don't raise exception on non-zero exit code (no matches) - ) - - # Parse the output - all_results: dict[str, list[SearchMatch]] = {} - - # ripgrep returns non-zero exit code when no matches are found - if result.returncode != 0 and result.returncode != 1: - # Real error occurred - return SearchObservation( - status="error", - error=f"ripgrep error: {result.stderr}", - query=query, - page=page, - total_pages=0, - total_files=0, - files_per_page=files_per_page, - results=[], - ) - - # Parse output lines - for line in result.stdout.splitlines(): - # ripgrep output format: file:line:content - parts = line.split(":", 2) - if len(parts) < 3: - continue - - filepath, line_number_str, content = parts - - # Convert to relative path within the codebase - rel_path = os.path.relpath(filepath, codebase.repo_path) - - try: - line_number = int(line_number_str) - - # Find the actual match text - match_text = query - if use_regex: - # For regex, we need to find what actually matched - # This is a simplification - ideally we'd use ripgrep's --json option - # to get the exact match positions - pattern = re.compile(query) - match_obj = pattern.search(content) - if match_obj: - match_text = match_obj.group(0) - - # Create or append to file results - if rel_path not in all_results: - all_results[rel_path] = [] - - all_results[rel_path].append( - SearchMatch( - status="success", - line_number=line_number, - line=content.strip(), - match=match_text, - ) - ) - except ValueError: - # Skip lines with invalid line numbers - continue - - # Convert to SearchFileResult objects - file_results = [] - for filepath, matches in all_results.items(): - file_results.append( - SearchFileResult( - status="success", - filepath=filepath, - matches=sorted(matches, key=lambda x: x.line_number), - ) - ) - - # Sort results by filepath - file_results.sort(key=lambda x: x.filepath) - - # Calculate pagination - total_files = len(file_results) - total_pages = (total_files + files_per_page - 1) // files_per_page - start_idx = (page - 1) * files_per_page - end_idx = start_idx + files_per_page - - # Get the current page of results - paginated_results = file_results[start_idx:end_idx] - - return SearchObservation( - status="success", - query=query, - page=page, - total_pages=total_pages, - total_files=total_files, - files_per_page=files_per_page, - results=paginated_results, - ) - - except (subprocess.SubprocessError, FileNotFoundError) as e: - # Let the caller handle this by falling back to Python implementation - raise - - -def _search_with_python( - codebase: Codebase, - query: str, - file_extensions: list[str] | None = None, - page: int = 1, - files_per_page: int = 10, - use_regex: bool = False, -) -> SearchObservation: - """Search the codebase using Python's regex engine. - - This is a fallback for when ripgrep is not available. - """ - # Validate pagination parameters - if page < 1: - page = 1 - if files_per_page < 1: - files_per_page = 10 - - # Prepare the search pattern - if use_regex: - try: - pattern = re.compile(query) - except re.error as e: - return SearchObservation( - status="error", - error=f"Invalid regex pattern: {e!s}", - query=query, - page=page, - total_pages=0, - total_files=0, - files_per_page=files_per_page, - results=[], - ) - else: - # For non-regex searches, escape special characters and make case-insensitive - pattern = re.compile(re.escape(query), re.IGNORECASE) - - # Handle file extensions - extensions = file_extensions if file_extensions is not None else "*" - - all_results = [] - for file in codebase.files(extensions=extensions): - # Skip binary files - try: - content = file.content - except ValueError: # File is binary - continue - - file_matches = [] - # Split content into lines and store with line numbers (1-based) - lines = enumerate(content.splitlines(), 1) - - # Search each line for the pattern - for line_number, line in lines: - match = pattern.search(line) - if match: - file_matches.append( - SearchMatch( - status="success", - line_number=line_number, - line=line.strip(), - match=match.group(0), - ) - ) - - if file_matches: - all_results.append( - SearchFileResult( - status="success", - filepath=file.filepath, - matches=sorted(file_matches, key=lambda x: x.line_number), - ) - ) - - # Sort all results by filepath - all_results.sort(key=lambda x: x.filepath) - - # Calculate pagination - total_files = len(all_results) - total_pages = (total_files + files_per_page - 1) // files_per_page - start_idx = (page - 1) * files_per_page - end_idx = start_idx + files_per_page - - # Get the current page of results - paginated_results = all_results[start_idx:end_idx] - - return SearchObservation( - status="success", - query=query, - page=page, - total_pages=total_pages, - total_files=total_files, - files_per_page=files_per_page, - results=paginated_results, - ) - - -def search( - codebase: Codebase, - query: str, - file_extensions: list[str] | None = None, - page: int = 1, - files_per_page: int = 10, - use_regex: bool = False, -) -> SearchObservation: - """Search the codebase using text search or regex pattern matching. - - Uses ripgrep for performance when available, with fallback to Python's regex engine. - If use_regex is True, performs a regex pattern match on each line. - Otherwise, performs a case-insensitive text search. - Returns matching lines with their line numbers, grouped by file. - Results are paginated by files, with a default of 10 files per page. - - Args: - codebase: The codebase to operate on - query: The text to search for or regex pattern to match - file_extensions: Optional list of file extensions to search (e.g. ['.py', '.ts']). - If None, searches all files ('*') - page: Page number to return (1-based, default: 1) - files_per_page: Number of files to return per page (default: 10) - use_regex: Whether to treat query as a regex pattern (default: False) - - Returns: - SearchObservation containing search results with matches and their sources - """ - # Try to use ripgrep first - try: - return _search_with_ripgrep(codebase, query, file_extensions, page, files_per_page, use_regex) - except (FileNotFoundError, subprocess.SubprocessError): - # Fall back to Python implementation if ripgrep fails or isn't available - return _search_with_python(codebase, query, file_extensions, page, files_per_page, use_regex) diff --git a/src/codegen/extensions/tools/search_files_by_name.py b/src/codegen/extensions/tools/search_files_by_name.py deleted file mode 100644 index b44f6da85..000000000 --- a/src/codegen/extensions/tools/search_files_by_name.py +++ /dev/null @@ -1,123 +0,0 @@ -import math -import shutil -import subprocess -from typing import ClassVar, Optional - -from pydantic import Field - -from codegen.extensions.tools.observation import Observation -from codegen.sdk.core.codebase import Codebase -from codegen.shared.logging.get_logger import get_logger - -logger = get_logger(__name__) - - -class SearchFilesByNameResultObservation(Observation): - """Response from searching files by filename pattern.""" - - pattern: str = Field( - description="The glob pattern that was searched for", - ) - files: list[str] = Field( - description="List of matching file paths", - ) - page: int = Field( - description="Current page number (1-based)", - ) - total_pages: int = Field( - description="Total number of pages available", - ) - total_files: int = Field( - description="Total number of files with matches", - ) - files_per_page: int | float = Field( - description="Number of files shown per page", - ) - - str_template: ClassVar[str] = "Found {total_files} files matching pattern: {pattern} (page {page}/{total_pages})" - - @property - def total(self) -> int: - return self.total_files - - -def search_files_by_name( - codebase: Codebase, - pattern: str, - page: int = 1, - files_per_page: int | float = 10, -) -> SearchFilesByNameResultObservation: - """Search for files by name pattern in the codebase. - - Args: - codebase: The codebase to search in - pattern: Glob pattern to search for (e.g. "*.py", "test_*.py") - page: Page number to return (1-based, default: 1) - files_per_page: Number of files to return per page (default: 10) - """ - try: - # Validate pagination parameters - if page < 1: - page = 1 - if files_per_page is not None and files_per_page < 1: - files_per_page = 20 - - if shutil.which("fd") is None: - logger.warning("fd is not installed, falling back to find") - results = subprocess.check_output( - ["find", "-name", pattern], - cwd=codebase.repo_path, - timeout=30, - ) - all_files = [path.removeprefix("./") for path in results.decode("utf-8").strip().split("\n")] if results.strip() else [] - - else: - logger.info(f"Searching for files with pattern: {pattern}") - results = subprocess.check_output( - ["fd", "-g", pattern], - cwd=codebase.repo_path, - timeout=30, - ) - all_files = results.decode("utf-8").strip().split("\n") if results.strip() else [] - - # Sort files for consistent pagination - all_files.sort() - - # Calculate pagination - total_files = len(all_files) - if files_per_page == math.inf: - files_per_page = total_files - total_pages = 1 - else: - total_pages = (total_files + files_per_page - 1) // files_per_page if total_files > 0 else 1 - - - # Ensure page is within valid range - page = min(page, total_pages) - - # Get paginated results - start_idx = (page - 1) * files_per_page - end_idx = start_idx + files_per_page - paginated_files = all_files[start_idx:end_idx] - - return SearchFilesByNameResultObservation( - status="success", - pattern=pattern, - files=paginated_files, - page=page, - total_pages=total_pages, - total_files=total_files, - files_per_page=files_per_page, - ) - - except Exception as e: - return SearchFilesByNameResultObservation( - status="error", - error=f"Error searching files: {e!s}", - pattern=pattern, - files=[], - page=page, - total_pages=0, - total_files=0, - files_per_page=files_per_page, - ) diff --git a/src/codegen/extensions/tools/semantic_edit.py b/src/codegen/extensions/tools/semantic_edit.py deleted file mode 100644 index 97ba927c5..000000000 --- a/src/codegen/extensions/tools/semantic_edit.py +++ /dev/null @@ -1,318 +0,0 @@ -"""Tool for making semantic edits to files using a small, fast LLM.""" - -import difflib -import re -from typing import TYPE_CHECKING, ClassVar, Optional - -from langchain_core.messages import ToolMessage -from langchain_core.output_parsers import StrOutputParser -from langchain_core.prompts import ChatPromptTemplate -from pydantic import Field - -from codegen.extensions.langchain.llm import LLM -from codegen.sdk.core.codebase import Codebase - -from .observation import Observation -from .semantic_edit_prompts import _HUMAN_PROMPT_DRAFT_EDITOR, COMMANDER_SYSTEM_PROMPT -from .view_file import add_line_numbers - -if TYPE_CHECKING: - from .tool_output_types import SemanticEditArtifacts - - -class SemanticEditObservation(Observation): - """Response from making semantic edits to a file.""" - - filepath: str = Field( - description="Path to the edited file", - ) - diff: Optional[str] = Field( - default=None, - description="Unified diff of changes made to the file", - ) - new_content: Optional[str] = Field( - default=None, - description="New content of the file with line numbers after edits", - ) - line_count: Optional[int] = Field( - default=None, - description="Total number of lines in the edited file", - ) - - str_template: ClassVar[str] = "Edited file {filepath}" - - def render(self, tool_call_id: str) -> ToolMessage: - """Render the observation as a ToolMessage. - - Args: - tool_call_id: ID of the tool call that triggered this edit - - Returns: - ToolMessage containing edit results or error - """ - # Prepare artifacts dictionary with default values - artifacts: SemanticEditArtifacts = { - "filepath": self.filepath, - "diff": self.diff, - "new_content": self.new_content, - "line_count": self.line_count, - "error": self.error if self.status == "error" else None, - } - - # Handle error case early - if self.status == "error": - return ToolMessage( - content=f"[EDIT ERROR]: {self.error}", - status=self.status, - name="semantic_edit", - tool_call_id=tool_call_id, - artifact=artifacts, - ) - - return ToolMessage( - content=self.render_as_string(), - status=self.status, - name="semantic_edit", - tool_call_id=tool_call_id, - artifact=artifacts, - ) - - -def generate_diff(original: str, modified: str) -> str: - """Generate a unified diff between two strings. - - Args: - original: Original content - modified: Modified content - - Returns: - Unified diff as a string - """ - original_lines = original.splitlines(keepends=True) - modified_lines = modified.splitlines(keepends=True) - - diff = difflib.unified_diff( - original_lines, - modified_lines, - fromfile="original", - tofile="modified", - lineterm="", - ) - - return "".join(diff) - - -def _extract_code_block(llm_response: str) -> str: - """Extract code from markdown code block in LLM response. - - Args: - llm_response: Raw response from LLM - - Returns: - Extracted code content exactly as it appears in the block - - Raises: - ValueError: If response is not properly formatted with code blocks - """ - # Find content between ``` markers, allowing for any language identifier - pattern = r"```[^`\n]*\n?(.*?)```" - matches = re.findall(pattern, llm_response.strip(), re.DOTALL) - - if not matches: - msg = "LLM response must contain code wrapped in ``` blocks. Got response: " + llm_response[:200] + "..." - raise ValueError(msg) - - # Return the last code block exactly as is - return matches[-1] - - -def get_llm_edit(original_file_section: str, edit_content: str) -> str: - """Get edited content from LLM. - - Args: - original_file_section: Original content to edit - edit_content: Edit specification/instructions - - Returns: - LLM response with edited content - """ - system_message = COMMANDER_SYSTEM_PROMPT - human_message = _HUMAN_PROMPT_DRAFT_EDITOR - prompt = ChatPromptTemplate.from_messages([system_message, human_message]) - - llm = LLM(model_provider="anthropic", model_name="claude-3-5-sonnet-latest", temperature=0, max_tokens=5000) - - chain = prompt | llm | StrOutputParser() - response = chain.invoke({"original_file_section": original_file_section, "edit_content": edit_content}) - - return response - - -def _validate_edit_boundaries(original_lines: list[str], modified_lines: list[str], start_idx: int, end_idx: int) -> None: - """Validate` that the edit only modified lines within the specified boundaries. - - Args: - original_lines: Original file lines - modified_lines: Modified file lines - start_idx: Starting line index (0-indexed) - end_idx: Ending line index (0-indexed) - - Raises: - ValueError: If changes were made outside the specified range - """ - # Check lines before start_idx - for i in range(min(start_idx, len(original_lines), len(modified_lines))): - if original_lines[i] != modified_lines[i]: - msg = f"Edit modified line {i + 1} which is before the specified start line {start_idx + 1}" - raise ValueError(msg) - - # Check lines after end_idx - remaining_lines = len(original_lines) - (end_idx + 1) - if remaining_lines > 0: - orig_suffix = original_lines[-remaining_lines:] - if len(modified_lines) >= remaining_lines: - mod_suffix = modified_lines[-remaining_lines:] - if orig_suffix != mod_suffix: - msg = f"Edit modified content after the specified end line {end_idx + 1}" - raise ValueError(msg) - - -def extract_file_window(file_content: str, start: int = 1, end: int = -1) -> tuple[str, int, int]: - """Extract a window of content from a file. - - Args: - file_content: Content of the file - start: Start line (1-indexed, default: 1) - end: End line (1-indexed or -1 for end of file, default: -1) - - Returns: - Tuple of (extracted_content, start_idx, end_idx) - """ - # Split into lines and handle line numbers - lines = file_content.split("\n") - total_lines = len(lines) - - # Convert to 0-indexed - start_idx = start - 1 - end_idx = end - 1 if end != -1 else total_lines - 1 - - # Get the content window - window_lines = lines[start_idx : end_idx + 1] - window_content = "\n".join(window_lines) - - return window_content, start_idx, end_idx - - -def apply_semantic_edit(codebase: Codebase, filepath: str, edited_content: str, start: int = 1, end: int = -1) -> tuple[str, str]: - """Apply a semantic edit to a section of content. - - Args: - codebase: Codebase object - filepath: Path to the file to edit - edited_content: New content for the specified range - start: Start line (1-indexed, default: 1) - end: End line (1-indexed or -1 for end of file, default: -1) - - Returns: - Tuple of (new_content, diff) - """ - # Get the original content - file = codebase.get_file(filepath) - original_content = file.content - - # Handle append mode - if start == -1 and end == -1: - new_content = original_content + "\n" + edited_content - diff = generate_diff(original_content, new_content) - file.edit(new_content) - codebase.commit() - return new_content, diff - - # Split content into lines - original_lines = original_content.splitlines() - edited_lines = edited_content.splitlines() - - # Convert to 0-indexed - start_idx = start - 1 - end_idx = end - 1 if end != -1 else len(original_lines) - 1 - - # Splice together: prefix + edited content + suffix - new_lines = ( - original_lines[:start_idx] # Prefix - + edited_lines # Edited section - + original_lines[end_idx + 1 :] # Suffix - ) - - # Preserve original file's newline if it had one - new_content = "\n".join(new_lines) + ("\n" if original_content.endswith("\n") else "") - # Validate the edit boundaries - _validate_edit_boundaries(original_lines, new_lines, start_idx, end_idx) - - # Apply the edit - file.edit(new_content) - codebase.commit() - with open(file.path, "w") as f: - f.write(new_content) - - # Generate diff from the original section to the edited section - original_section, _, _ = extract_file_window(original_content, start, end) - diff = generate_diff(original_section, edited_content) - - return new_content, diff - - -def semantic_edit(codebase: Codebase, filepath: str, edit_content: str, start: int = 1, end: int = -1) -> SemanticEditObservation: - """Edit a file using semantic editing with line range support.""" - try: - file = codebase.get_file(filepath) - except ValueError: - msg = f"File not found: {filepath}" - raise FileNotFoundError(msg) - - # Get the original content - original_content = file.content - original_lines = original_content.split("\n") - - # Check if file is too large for full edit - MAX_LINES = 300 - if len(original_lines) > MAX_LINES and start == 1 and end == -1: - return SemanticEditObservation( - status="error", - error=( - f"File is {len(original_lines)} lines long. For files longer than {MAX_LINES} lines, " - "please specify a line range using start and end parameters. " - "You may need to make multiple targeted edits." - ), - filepath=filepath, - line_count=len(original_lines), - ) - - # Extract the window of content to edit - original_file_section, start_idx, end_idx = extract_file_window(original_content, start, end) - - # Get edited content from LLM - try: - modified_segment = _extract_code_block(get_llm_edit(original_file_section, edit_content)) - except ValueError as e: - return SemanticEditObservation( - status="error", - error=f"Failed to parse LLM response: {e!s}", - filepath=filepath, - ) - - # Apply the semantic edit - try: - new_content, diff = apply_semantic_edit(codebase, filepath, modified_segment, start, end) - except ValueError as e: - return SemanticEditObservation( - status="error", - error=str(e), - filepath=filepath, - ) - - return SemanticEditObservation( - status="success", - filepath=filepath, - diff=diff, - new_content=add_line_numbers(new_content), - ) diff --git a/src/codegen/extensions/tools/semantic_edit_prompts.py b/src/codegen/extensions/tools/semantic_edit_prompts.py deleted file mode 100644 index 0b5884309..000000000 --- a/src/codegen/extensions/tools/semantic_edit_prompts.py +++ /dev/null @@ -1,349 +0,0 @@ -FILE_EDIT_PROMPT = ( - """Edit a file in plain-text format. -* The assistant can edit files by specifying the file path and providing a draft of the new file content. -* The draft content doesn't need to be exactly the same as the existing file; the assistant may skip unchanged lines using comments like `# unchanged` to indicate unchanged sections. -* IMPORTANT: For large files (e.g., > 300 lines), specify the range of lines to edit using `start` and `end` (1-indexed, inclusive). The range should be smaller than 300 lines. -* To append to a file, set both `start` and `end` to `-1`. -* If the file doesn't exist, a new file will be created with the provided content. -* If specifying start and end, leave some room for context (e.g., 30 lines before and 30 lines after the edit range). However, for the end parameter, do not exceed the last line of the file. -* For example if the file is 500 lines long and an edit is requested from line 450 to 500, make the start parameter 430 and the end parameter 500. -* Another example if the file is 500 lines long and an edit is requested from line 450 to 490, make the start parameter 430 and the end parameter 500. -* Always choose edit ranges that include full code blocks. -* Ensure that if the file is less than 300 lines, do not specify a start or end parameter. Only specify for large files over 300 lines. - -* IMPORTANT: If it's not specified or implied where the code should be added, just append it to the end of the file by setting the start=-1 and end=-1 - -**Example 1: general edit for short files** -For example, given an existing file `/path/to/file.py` that looks like this: -(this is the end of the file) -1|class MyClass: -2| def __init__(self): -3| self.x = 1 -4| self.y = 2 -5| self.z = 3 -6| -7|print(MyClass().z) -8|print(MyClass().x) -(this is the end of the file) - -The assistant wants to edit the file to look like this: -(this is the end of the file) -1|class MyClass: -2| def __init__(self): -3| self.x = 1 -4| self.y = 2 -5| -6|print(MyClass().y) -(this is the end of the file) - -The assistant may produce an edit action like this: -path="/path/to/file.txt" start=1 end=-1 -content=``` -class MyClass: - def __init__(self): - # no changes before - self.y = 2 - # self.z is removed - -# MyClass().z is removed -print(MyClass().y) -``` - -**Example 2: append to file for short files** -For example, given an existing file `/path/to/file.py` that looks like this: -(this is the end of the file) -1|class MyClass: -2| def __init__(self): -3| self.x = 1 -4| self.y = 2 -5| self.z = 3 -6| -7|print(MyClass().z) -8|print(MyClass().x) -(this is the end of the file) - -To append the following lines to the file: -```python -print(MyClass().y) -``` - -The assistant may produce an edit action like this: -path="/path/to/file.txt" start=-1 end=-1 -content=``` -print(MyClass().y) -``` - -**Example 3: edit for long files** - -Given an existing file `/path/to/file.py` that looks like this: -(1000 more lines above) -971|def helper_function(): -972| """ - "Helper function for MyClass" - """ -973| pass -974| -975|class BaseClass: -976| """ - "Base class for MyClass" - """ -977| def base_method(self): -978| pass -979| -980|# Configuration for MyClass -981|MY_CONFIG = { -982| "x": 1, -983| "y": 2, -984| "z": 3 -985|} -986| -987|@decorator -988|class MyClass(BaseClass): -989| """ - "Main class implementation" - """ -990| def __init__(self): -991| self.x = MY_CONFIG["x"] -992| self.y = MY_CONFIG["y"] -993| self.z = MY_CONFIG["z"] -994| -995| def get_values(self): -996| return self.x, self.y, self.z -997| -998|print(MyClass().z) -999|print(MyClass().x) -1000| -1001|# Additional helper functions -1002|def process_values(obj): -1003| """ - "Process MyClass values" - """ -1004| return sum([obj.x, obj.y, obj.z]) -(2000 more lines below) - -The assistant wants to edit lines 990-993 to remove the z value. The assistant should capture enough context by getting 30 lines before and after: - -The assistant may produce an edit action like this: -path="/path/to/file.txt" start=960 end=1020 -content=``` -# Previous helper functions and configuration preserved -def helper_function(): - """ - "Helper function for MyClass" - """ - pass - -class BaseClass: - """ - "Base class for MyClass" - """ - def base_method(self): - pass - -# Configuration for MyClass -MY_CONFIG = { - "x": 1, - "y": 2, - "z": 3 -} - -@decorator -class MyClass(BaseClass): - """ - "Main class implementation" - """ - def __init__(self): - self.x = MY_CONFIG["x"] - self.y = MY_CONFIG["y"] - # Removed z configuration - - def get_values(self): - return self.x, self.y - -print(MyClass().y) # Updated print statement -print(MyClass().x) - -# Additional helper functions -def process_values(obj): - """ - "Process MyClass values" - """ - return sum([obj.x, obj.y]) # Updated to remove z -``` - -**Example 4: edit with maximum context** - -Given a file with complex class hierarchy and dependencies: -(many lines above) -450|class ParentClass: -451| """ - "Parent class with important context" - """ -452| def parent_method(self): -453| return "parent" -454| -455|class Mixin: -456| """ - "Mixin with critical functionality" - """ -457| def mixin_method(self): -458| return "mixin" -459| -460|# Important configuration -461|SETTINGS = { -462| "timeout": 30, -463| "retries": 3 -464|} -465| -466|@important_decorator -467|class TargetClass(ParentClass, Mixin): -468| """ - "Class that needs modification" - """ -469| def __init__(self): -470| self.timeout = SETTINGS["timeout"] -471| self.retries = SETTINGS["retries"] -472| -473| def process(self): -474| return self.parent_method() + self.mixin_method() -475| -476|# Usage examples -477|instance = TargetClass() -478|result = instance.process() -479| -480|def helper(): -481| """ - "Helper function that uses TargetClass" - """ -482| return TargetClass().process() -(many lines below) - -The assistant wants to modify the process method. To ensure all context is captured (inheritance, mixins, configuration), it should get at least 30 lines before and after: - -The assistant may produce an edit action like this: -path="/path/to/file.txt" start=420 end=510 -content=``` -# Previous context preserved -class ParentClass: - """ - "Parent class with important context" - """ - def parent_method(self): - return "parent" - -class Mixin: - """ - "Mixin with critical functionality" - """ - def mixin_method(self): - return "mixin" - -# Important configuration -SETTINGS = { - "timeout": 30, - "retries": 3 -} - -@important_decorator -class TargetClass(ParentClass, Mixin): - """ - "Class that needs modification" - """ - def __init__(self): - self.timeout = SETTINGS["timeout"] - self.retries = SETTINGS["retries"] - - def process(self): - # Modified to add error handling - try: - return self.parent_method() + " - " + self.mixin_method() - except Exception as e: - return f"Error: e" - -# Usage examples preserved -instance = TargetClass() -result = instance.process() - -def helper(): - """ - "Helper function that uses TargetClass" - """ - return TargetClass().process() -``` -""" -) - - -COMMANDER_SYSTEM_PROMPT = """You are an expert code editor. - -Another agent has determined an edit needs to be made to this file. - -Your job is to produce a new version of the specified section based on the old version the provided instructions. - -The provided draft may be incomplete (it may skip lines) and/or incorrectly indented. - -The instructions will be provided via demonstrations and helpful comments, like so: -``` -# ... existing code ... - -# edit: change function name and body -def function_redefinition(): - return 'new_function_body' - -# ... existing code ... -``` - -In addition, for large files, only a subset of lines will be provided that correspond to the edit you need to make. - -You must understand the intent behind the edits and apply them properly based on the instructions and common sense about how to apply them. - -CRITICAL REQUIREMENTS: -1. ONLY modify the content between the specified boundaries. DO NOT add content outside the edit range. -2. Preserve ALL original spacing, including: - - Indentation at the start of lines - - Empty lines between functions/classes - - Trailing whitespace - - Newlines at the end of the file -3. Do not modify any lines that are not part of the explicit changes -4. Keep all original comments that are part of the functionality -5. Remove any placeholder comments like "# no changes before" or "# new code here" - -Example of correct formatting: -```python -class MyClass: - def method1(self): - # Original comment preserved - x = 5 # Inline comment kept - - if x > 0: - return True -``` - -Note how the example maintains: -1. Original comments and docstrings -2. Exact indentation -3. Empty lines -4. No content outside the edit range -""" - - -_HUMAN_PROMPT_DRAFT_EDITOR = """ -HERE IS THE OLD VERSION OF THE SECTION: -``` -{original_file_section} -``` - -HERE ARE INSTRUCTIONS FOR THE EDIT: -``` -{edit_content} -``` - - -OUTPUT REQUIREMENTS: -1. Wrap your response in a code block using triple backticks (```). -2. Include ONLY the final code, no explanations. -3. Preserve ALL spacing and indentation exactly. -4. Remove any placeholder comments like "# no changes" or "# new code here". -5. Keep actual code comments that are part of the functionality. -6. Understand the intent behind the edits and apply them correctly. -""" diff --git a/src/codegen/extensions/tools/semantic_search.py b/src/codegen/extensions/tools/semantic_search.py deleted file mode 100644 index 93cf05212..000000000 --- a/src/codegen/extensions/tools/semantic_search.py +++ /dev/null @@ -1,122 +0,0 @@ -"""Semantic search over codebase files.""" - -from typing import ClassVar, Optional - -from pydantic import Field - -from codegen.extensions.index.file_index import FileIndex -from codegen.sdk.core.codebase import Codebase - -from .observation import Observation - - -class SearchResult(Observation): - """Information about a single search result.""" - - filepath: str = Field( - description="Path to the matching file", - ) - score: float = Field( - description="Similarity score of the match", - ) - preview: str = Field( - description="Preview of the file content", - ) - - str_template: ClassVar[str] = "{filepath} (score: {score})" - - -class SemanticSearchObservation(Observation): - """Response from semantic search over codebase.""" - - query: str = Field( - description="The search query that was used", - ) - results: list[SearchResult] = Field( - description="List of search results", - ) - - str_template: ClassVar[str] = "Found {result_count} results for '{query}'" - - def _get_details(self) -> dict[str, str | int]: - """Get details for string representation.""" - return { - "result_count": len(self.results), - "query": self.query, - } - - -def semantic_search( - codebase: Codebase, - query: str, - k: int = 5, - preview_length: int = 200, - index_path: Optional[str] = None, -) -> SemanticSearchObservation: - """Search the codebase using semantic similarity. - - This function provides semantic search over a codebase by using OpenAI's embeddings. - Currently, it loads/saves the index from disk each time, but could be optimized to - maintain embeddings in memory for frequently accessed codebases. - - TODO(CG-XXXX): Add support for maintaining embeddings in memory across searches, - potentially with an LRU cache or similar mechanism to avoid recomputing embeddings - for frequently searched codebases. - - Args: - codebase: The codebase to search - query: The search query in natural language - k: Number of results to return (default: 5) - preview_length: Length of content preview in characters (default: 200) - index_path: Optional path to a saved vector index - - Returns: - SemanticSearchObservation containing search results or error information. - """ - try: - # Initialize vector index - index = FileIndex(codebase) - - # Try to load existing index - try: - if index_path: - index.load(index_path) - else: - index.load() - except FileNotFoundError: - # Create new index if none exists - index.create() - index.save(index_path) - - # Perform search - results = index.similarity_search(query, k=k) - - # Format results with previews - formatted_results = [] - for file, score in results: - preview = file.content[:preview_length].replace("\n", " ").strip() - if len(file.content) > preview_length: - preview += "..." - - formatted_results.append( - SearchResult( - status="success", - filepath=file.filepath, - score=float(score), - preview=preview, - ) - ) - - return SemanticSearchObservation( - status="success", - query=query, - results=formatted_results, - ) - - except Exception as e: - return SemanticSearchObservation( - status="error", - error=f"Failed to perform semantic search: {e!s}", - query=query, - results=[], - ) diff --git a/src/codegen/extensions/tools/tool_output_types.py b/src/codegen/extensions/tools/tool_output_types.py deleted file mode 100644 index 1678e0c7e..000000000 --- a/src/codegen/extensions/tools/tool_output_types.py +++ /dev/null @@ -1,105 +0,0 @@ -"""Type definitions for tool outputs.""" - -from typing import Optional, TypedDict - - -class EditFileArtifacts(TypedDict, total=False): - """Artifacts for edit file operations. - - All fields are optional to support both success and error cases. - """ - - filepath: str # Path to the edited file - diff: Optional[str] # Diff of changes made to the file - error: Optional[str] # Error message (only present on error) - - -class ViewFileArtifacts(TypedDict, total=False): - """Artifacts for view file operations. - - All fields are optional to support both success and error cases. - Includes metadata useful for UI logging and pagination. - """ - - filepath: str # Path to the viewed file - start_line: Optional[int] # Starting line number viewed - end_line: Optional[int] # Ending line number viewed - content: Optional[str] # Content of the file - total_lines: Optional[int] # Total number of lines in file - has_more: Optional[bool] # Whether there are more lines to view - max_lines_per_page: Optional[int] # Maximum lines that can be viewed at once - file_size: Optional[int] # Size of file in bytes - error: Optional[str] # Error message (only present on error) - - -class ListDirectoryArtifacts(TypedDict, total=False): - """Artifacts for directory listing operations. - - All fields are optional to support both success and error cases. - Includes metadata useful for UI tree view and navigation. - """ - - dirpath: str # Full path to the directory - name: str # Name of the directory - files: Optional[list[str]] # List of files in this directory - file_paths: Optional[list[str]] # Full paths to files in this directory - subdirs: Optional[list[str]] # List of subdirectory names - subdir_paths: Optional[list[str]] # Full paths to subdirectories - is_leaf: Optional[bool] # Whether this is a leaf node (at max depth) - depth: Optional[int] # Current depth in the tree - max_depth: Optional[int] # Maximum depth allowed - error: Optional[str] # Error message (only present on error) - - -class SearchMatch(TypedDict, total=False): - """Information about a single search match.""" - - filepath: str # Path to the file containing the match - line_number: int # 1-based line number of the match - line: str # The full line containing the match - match: str # The specific text that matched - - -class SearchArtifacts(TypedDict, total=False): - """Artifacts for search operations. - - All fields are optional to support both success and error cases. - Includes metadata useful for UI search results and navigation. - """ - - query: str # Search query that was used - page: int # Current page number (1-based) - total_pages: int # Total number of pages available - total_files: int # Total number of files with matches - files_per_page: int # Number of files shown per page - matches: list[SearchMatch] # List of matches with file paths and line numbers - file_paths: list[str] # List of files containing matches - error: Optional[str] # Error message (only present on error) - - -class SemanticEditArtifacts(TypedDict, total=False): - """Artifacts for semantic edit operations. - - All fields are optional to support both success and error cases. - Includes metadata useful for UI diff view and file content. - """ - - filepath: str # Path to the edited file - diff: Optional[str] # Unified diff of changes made to the file - new_content: Optional[str] # New content of the file after edits - line_count: Optional[int] # Total number of lines in the edited file - error: Optional[str] # Error message (only present on error) - - -class RelaceEditArtifacts(TypedDict, total=False): - """Artifacts for relace edit operations. - - All fields are optional to support both success and error cases. - Includes metadata useful for UI diff view and file content. - """ - - filepath: str # Path to the edited file - diff: Optional[str] # Unified diff of changes made to the file - new_content: Optional[str] # New content of the file after edits - line_count: Optional[int] # Total number of lines in the edited file - error: Optional[str] # Error message (only present on error) diff --git a/src/codegen/extensions/tools/view_file.py b/src/codegen/extensions/tools/view_file.py deleted file mode 100644 index fbfcd8b02..000000000 --- a/src/codegen/extensions/tools/view_file.py +++ /dev/null @@ -1,191 +0,0 @@ -"""Tool for viewing file contents and metadata.""" - -from typing import TYPE_CHECKING, ClassVar, Optional - -from langchain_core.messages import ToolMessage -from pydantic import Field - -from codegen.sdk.core.codebase import Codebase - -from .observation import Observation - -if TYPE_CHECKING: - from .tool_output_types import ViewFileArtifacts - - -class ViewFileObservation(Observation): - """Response from viewing a file.""" - - filepath: str = Field( - description="Path to the file", - ) - content: str = Field( - description="Content of the file", - ) - raw_content: str = Field( - description="Raw content of the file", - ) - line_count: Optional[int] = Field( - default=None, - description="Number of lines in the file", - ) - start_line: Optional[int] = Field( - default=None, - description="Starting line number of the content (1-indexed)", - ) - end_line: Optional[int] = Field( - default=None, - description="Ending line number of the content (1-indexed)", - ) - has_more: Optional[bool] = Field( - default=None, - description="Whether there are more lines after end_line", - ) - max_lines_per_page: Optional[int] = Field( - default=None, - description="Maximum number of lines that can be viewed at once", - ) - - str_template: ClassVar[str] = "File {filepath} (showing lines {start_line}-{end_line} of {line_count})" - - def render(self, tool_call_id: str) -> ToolMessage: - """Render the file view with pagination information if applicable.""" - if self.status == "error": - error_artifacts: ViewFileArtifacts = {"filepath": self.filepath} - return ToolMessage( - content=f"[ERROR VIEWING FILE]: {self.filepath}: {self.error}", - status=self.status, - tool_call_id=tool_call_id, - name="view_file", - artifact=error_artifacts, - additional_kwargs={ - "error": self.error, - }, - ) - - success_artifacts: ViewFileArtifacts = { - "filepath": self.filepath, - "start_line": self.start_line, - "end_line": self.end_line, - "content": self.raw_content, - "total_lines": self.line_count, - "has_more": self.has_more, - "max_lines_per_page": self.max_lines_per_page, - } - - header = f"[VIEW FILE]: {self.filepath}" - if self.line_count is not None: - header += f" ({self.line_count} lines total)" - - if self.start_line is not None and self.end_line is not None: - header += f"\nShowing lines {self.start_line}-{self.end_line}" - if self.has_more: - header += f" (more lines available, max {self.max_lines_per_page} lines per page)" - - return ToolMessage( - content=f"{header}\n\n{self.content}" if self.content else f"{header}\n", - status=self.status, - name="view_file", - tool_call_id=tool_call_id, - artifact=success_artifacts, - ) - - -def add_line_numbers(content: str) -> str: - """Add line numbers to content. - - Args: - content: The text content to add line numbers to - - Returns: - Content with line numbers prefixed (1-indexed) - """ - lines = content.split("\n") - width = len(str(len(lines))) - return "\n".join(f"{i + 1:>{width}}|{line}" for i, line in enumerate(lines)) - - -def view_file( - codebase: Codebase, - filepath: str, - line_numbers: bool = True, - start_line: Optional[int] = None, - end_line: Optional[int] = None, - max_lines: int = 500, -) -> ViewFileObservation: - """View the contents and metadata of a file. - - Args: - codebase: The codebase to operate on - filepath: Path to the file relative to workspace root - line_numbers: If True, add line numbers to the content (1-indexed) - start_line: Starting line number to view (1-indexed, inclusive) - end_line: Ending line number to view (1-indexed, inclusive) - max_lines: Maximum number of lines to view at once, defaults to 500 - """ - try: - file = codebase.get_file(filepath) - - except ValueError: - return ViewFileObservation( - status="error", - error=f"""File not found: {filepath}. Please use full filepath relative to workspace root. -Ensure that this is indeed the correct filepath, else keep searching to find the correct fullpath.""", - filepath=filepath, - content="", - raw_content="", - line_count=0, - start_line=start_line, - end_line=end_line, - has_more=False, - max_lines_per_page=max_lines, - ) - - # Split content into lines and get total line count - lines = file.content.splitlines() - total_lines = len(lines) - - # If no start_line specified, start from beginning - if start_line is None: - start_line = 1 - - # Ensure start_line is within bounds - start_line = max(1, min(start_line, total_lines)) - - # If no end_line specified, show up to max_lines from start - if end_line is None: - end_line = min(start_line + max_lines - 1, total_lines) - else: - # Ensure end_line is within bounds and doesn't exceed max_lines from start - end_line = min(end_line, total_lines, start_line + max_lines - 1) - - # Extract the requested lines (convert to 0-based indexing) - content_lines = lines[start_line - 1 : end_line] - content = "\n".join(content_lines) - - # Add line numbers if requested - if line_numbers: - # Pass the actual line numbers for proper numbering - numbered_lines = [] - width = len(str(total_lines)) # Use total_lines for consistent width - for i, line in enumerate(content_lines, start=start_line): - numbered_lines.append(f"{i:>{width}}|{line}") - content = "\n".join(numbered_lines) - - # Create base observation with common fields - observation = ViewFileObservation( - status="success", - filepath=file.filepath, - content=content, - raw_content=file.content, - line_count=total_lines, - ) - - # Only include pagination fields if file exceeds max_lines - if total_lines > max_lines: - observation.start_line = start_line - observation.end_line = end_line - observation.has_more = end_line < total_lines - observation.max_lines_per_page = max_lines - - return observation diff --git a/src/codegen/sdk/system-prompt.txt b/src/codegen/sdk/system-prompt.txt index f72a67db1..cbf343cf1 100644 --- a/src/codegen/sdk/system-prompt.txt +++ b/src/codegen/sdk/system-prompt.txt @@ -657,7 +657,7 @@ Codegen creates a custom Python environment in `.codegen/.venv`. Configure your ```bash .codegen/.venv/bin/python ``` - + Alternatively, create a `.vscode/settings.json`: ```json { @@ -679,7 +679,7 @@ Codegen creates a custom Python environment in `.codegen/.venv`. Configure your .codegen/.venv/bin/python ``` - + @@ -1630,8 +1630,8 @@ iconType: "solid" - Yes - [by design](/introduction/guiding-principles#python-first-composability). - + Yes - [by design](/introduction/guiding-principles#python-first-composability). + Codegen works like any other python package. It works alongside your IDE, version control system, and other development tools. - Currently, the codebase object can only parse source code files of one language at a time. This means that if you want to work with both Python and TypeScript files, you will need to create two separate codebase objects. + Currently, the codebase object can only parse source code files of one language at a time. This means that if you want to work with both Python and TypeScript files, you will need to create two separate codebase objects. ## Accessing Code @@ -3407,7 +3407,7 @@ for module, imports in module_imports.items(): Always check if imports resolve to external modules before modification to avoid breaking third-party package imports. - + ## Import Statements vs Imports @@ -3609,7 +3609,7 @@ for exp in file.exports: # Get original and current symbols current = exp.exported_symbol original = exp.resolved_symbol - + print(f"Re-exporting {original.name} from {exp.from_file.filepath}") print(f"Through: {' -> '.join(e.file.filepath for e in exp.export_chain)}") ``` @@ -3659,7 +3659,7 @@ for from_file, exports in file_exports.items(): When managing exports, consider the impact on your module's public API. Not all symbols that can be exported should be exported. - + --- title: "Inheritable Behaviors" @@ -4149,9 +4149,9 @@ If `A` depends on `B`, then `B` is used by `A`. This relationship is tracked in flowchart LR B(BaseClass) - - - + + + A(MyClass) B ---| used by |A A ---|depends on |B @@ -4320,7 +4320,7 @@ class A: def method_a(self): pass class B(A): - def method_b(self): + def method_b(self): self.method_a() class C(B): @@ -5210,7 +5210,7 @@ for attr in class_def.attributes: # Each attribute has an assignment property attr_type = attr.assignment.type # -> TypeAnnotation print(f"{attr.name}: {attr_type.source}") # e.g. "x: int" - + # Set attribute type attr.assignment.set_type("int") @@ -5227,7 +5227,7 @@ Union types ([UnionType](/api-reference/core/UnionType)) can be manipulated as c ```python # Get union type -union_type = function.return_type # -> A | B +union_type = function.return_type # -> A | B print(union_type.symbols) # ["A", "B"] # Add/remove options @@ -6078,13 +6078,13 @@ Here's an example of using flags during code analysis: ```python def analyze_codebase(codebase): - for function in codebase.functions: + for function in codebase.functions: # Check documentation if not function.docstring: function.flag( message="Missing docstring", ) - + # Check error handling if function.is_async and not function.has_try_catch: function.flag( @@ -6794,7 +6794,7 @@ Explore our tutorials to learn how to use Codegen for various code transformatio > Update API calls, handle breaking changes, and manage bulk updates across your codebase. - Convert Flask applications to FastAPI, updating routes and dependencies. - Migrate Python 2 code to Python 3, updating syntax and modernizing APIs. @@ -6827,9 +6827,9 @@ Explore our tutorials to learn how to use Codegen for various code transformatio > Restructure files, enforce naming conventions, and improve project layout. - Split large files, extract shared logic, and manage dependencies. @@ -6927,7 +6927,7 @@ The agent has access to powerful code viewing and manipulation tools powered by - `CreateFileTool`: Create new files - `DeleteFileTool`: Delete files - `RenameFileTool`: Rename files -- `EditFileTool`: Edit files +- `EditFileTool`: Edit files @@ -7308,7 +7308,6 @@ iconType: "solid" This tutorial demonstrates how to build an intelligent GitHub PR review bot that automatically reviews pull requests when triggered by labels. The bot uses Codegen's GitHub integration and AI capabilities to provide comprehensive code reviews with actionable feedback. -View the full code and setup instructions in our [examples repository](https://github.com/codegen-sh/codegen-sdk/tree/develop/codegen-examples/examples/pr_review_bot) The bot is triggered by adding a "Codegen" label to PRs, making it easy to integrate into your existing workflow @@ -7434,7 +7433,7 @@ Be explicit about the changes, produce a short summary, and point out possible i Focus on facts and technical details, using code snippets where helpful. """ result = agent.run(prompt) - + # Clean up the temporary comment comment.delete() ``` @@ -7615,21 +7614,21 @@ def research(repo_name: Optional[str] = None, query: Optional[str] = None): """Start a code research session.""" # Initialize codebase codebase = initialize_codebase(repo_name) - + # Create and run the agent agent = create_research_agent(codebase) - + # Main research loop while True: if not query: query = Prompt.ask("[bold cyan]Research query[/bold cyan]") - + result = agent.invoke( {"input": query}, config={"configurable": {"thread_id": 1}} ) console.print(Markdown(result["messages"][-1].content)) - + query = None # Clear for next iteration ``` @@ -7677,7 +7676,7 @@ class CustomAnalysisTool(BaseTool): """Custom tool for specialized code analysis.""" name = "custom_analysis" description = "Performs specialized code analysis" - + def _run(self, query: str) -> str: # Custom analysis logic return results @@ -7817,7 +7816,7 @@ def calculate_maintainability_index( ## Line Metrics -Line metrics provide insights into the size, complexity, and maintainability of a codebase. These measurements help determine the scale of a project, identify areas that may need refactoring, and track the growth of the codebase over time. +Line metrics provide insights into the size, complexity, and maintainability of a codebase. These measurements help determine the scale of a project, identify areas that may need refactoring, and track the growth of the codebase over time. ### Lines of Code Lines of Code refers to the total number of lines in the source code, including blank lines and comments. This is accomplished with a simple count of all lines in the source file. @@ -8114,7 +8113,7 @@ from codegen import Codebase # Initialize codebase codebase = Codebase("path/to/posthog/") -# Create a directed graph for representing call relationships +# Create a directed graph for representing call relationships G = nx.DiGraph() # Configuration flags @@ -8136,7 +8135,7 @@ We'll create a function that will recursively traverse the call trace of a funct ```python def create_downstream_call_trace(src_func: Function, depth: int = 0): """Creates call graph by recursively traversing function calls - + Args: src_func (Function): Starting function for call graph depth (int): Current recursion depth @@ -8144,7 +8143,7 @@ def create_downstream_call_trace(src_func: Function, depth: int = 0): # Prevent infinite recursion if MAX_DEPTH <= depth: return - + # External modules are not functions if isinstance(src_func, ExternalModule): return @@ -8154,12 +8153,12 @@ def create_downstream_call_trace(src_func: Function, depth: int = 0): # Skip self-recursive calls if call.name == src_func.name: continue - + # Get called function definition func = call.function_definition if not func: continue - + # Apply configured filters if isinstance(func, ExternalModule) and IGNORE_EXTERNAL_MODULE_CALLS: continue @@ -8173,7 +8172,7 @@ def create_downstream_call_trace(src_func: Function, depth: int = 0): func_name = f"{func.parent_class.name}.{func.name}" if func.is_method else func.name # Add node and edge with metadata - G.add_node(func, name=func_name, + G.add_node(func, name=func_name, color=COLOR_PALETTE.get(func.__class__.__name__)) G.add_edge(src_func, func, **generate_edge_meta(call)) @@ -8188,10 +8187,10 @@ We can enrich our edges with metadata about the function calls: ```python def generate_edge_meta(call: FunctionCall) -> dict: """Generate metadata for call graph edges - + Args: call (FunctionCall): Function call information - + Returns: dict: Edge metadata including name and location """ @@ -8210,8 +8209,8 @@ Finally, we can visualize our call graph starting from a specific function: target_class = codebase.get_class('SharingConfigurationViewSet') target_method = target_class.get_method('patch') -# Add root node -G.add_node(target_method, +# Add root node +G.add_node(target_method, name=f"{target_class.name}.{target_method.name}", color=COLOR_PALETTE["StartFunction"]) @@ -8261,7 +8260,7 @@ The core function for building our dependency graph: ```python def create_dependencies_visualization(symbol: Symbol, depth: int = 0): """Creates visualization of symbol dependencies - + Args: symbol (Symbol): Starting symbol to analyze depth (int): Current recursion depth @@ -8269,11 +8268,11 @@ def create_dependencies_visualization(symbol: Symbol, depth: int = 0): # Prevent excessive recursion if depth >= MAX_DEPTH: return - + # Process each dependency for dep in symbol.dependencies: dep_symbol = None - + # Handle different dependency types if isinstance(dep, Symbol): # Direct symbol reference @@ -8284,13 +8283,13 @@ def create_dependencies_visualization(symbol: Symbol, depth: int = 0): if dep_symbol: # Add node with appropriate styling - G.add_node(dep_symbol, - color=COLOR_PALETTE.get(dep_symbol.__class__.__name__, + G.add_node(dep_symbol, + color=COLOR_PALETTE.get(dep_symbol.__class__.__name__, "#f694ff")) - + # Add dependency relationship G.add_edge(symbol, dep_symbol) - + # Recurse unless it's a class (avoid complexity) if not isinstance(dep_symbol, PyClass): create_dependencies_visualization(dep_symbol, depth + 1) @@ -8302,7 +8301,7 @@ Finally, we can visualize our dependency graph starting from a specific symbol: # Get target symbol target_func = codebase.get_function("get_query_runner") -# Add root node +# Add root node G.add_node(target_func, color=COLOR_PALETTE["StartFunction"]) # Generate dependency graph @@ -8345,16 +8344,16 @@ HTTP_METHODS = ["get", "put", "patch", "post", "head", "delete"] def generate_edge_meta(usage: Usage) -> dict: """Generate metadata for graph edges - + Args: usage (Usage): Usage relationship information - + Returns: dict: Edge metadata including name and location """ return { "name": usage.match.source, - "file_path": usage.match.filepath, + "file_path": usage.match.filepath, "start_point": usage.match.start_point, "end_point": usage.match.end_point, "symbol_name": usage.match.__class__.__name__ @@ -8362,10 +8361,10 @@ def generate_edge_meta(usage: Usage) -> dict: def is_http_method(symbol: PySymbol) -> bool: """Check if a symbol is an HTTP endpoint method - + Args: symbol (PySymbol): Symbol to check - + Returns: bool: True if symbol is an HTTP method """ @@ -8379,7 +8378,7 @@ The main function for creating our blast radius visualization: ```python def create_blast_radius_visualization(symbol: PySymbol, depth: int = 0): """Create visualization of symbol usage relationships - + Args: symbol (PySymbol): Starting symbol to analyze depth (int): Current recursion depth @@ -8387,11 +8386,11 @@ def create_blast_radius_visualization(symbol: PySymbol, depth: int = 0): # Prevent excessive recursion if depth >= MAX_DEPTH: return - + # Process each usage of the symbol for usage in symbol.usages: usage_symbol = usage.usage_symbol - + # Determine node color based on type if is_http_method(usage_symbol): color = COLOR_PALETTE.get("HTTP_METHOD") @@ -8401,7 +8400,7 @@ def create_blast_radius_visualization(symbol: PySymbol, depth: int = 0): # Add node and edge to graph G.add_node(usage_symbol, color=color) G.add_edge(symbol, usage_symbol, **generate_edge_meta(usage)) - + # Recursively process usage symbol create_blast_radius_visualization(usage_symbol, depth + 1) ``` @@ -8552,7 +8551,7 @@ for call in old_api.call_sites: f"data={call.get_arg_by_parameter_name('input').value}", f"timeout={call.get_arg_by_parameter_name('wait').value}" ] - + # Replace the old call with the new API call.replace(f"new_process_data({', '.join(args)})") ``` @@ -8566,10 +8565,10 @@ When updating chained method calls, like database queries or builder patterns: for execute_call in codebase.function_calls: if execute_call.name != "execute": continue - + # Get the full chain chain = execute_call.call_chain - + # Example: Add .timeout() before .execute() if "timeout" not in {call.name for call in chain}: execute_call.insert_before("timeout(30)") @@ -8588,45 +8587,45 @@ Here's a comprehensive example: ```python def migrate_api_v1_to_v2(codebase): old_api = codebase.get_function("create_user_v1") - + # Document all existing call patterns call_patterns = {} for call in old_api.call_sites: args = [arg.source for arg in call.args] pattern = ", ".join(args) call_patterns[pattern] = call_patterns.get(pattern, 0) + 1 - + print("Found call patterns:") for pattern, count in call_patterns.items(): print(f" {pattern}: {count} occurrences") - + # Create new API version new_api = old_api.copy() new_api.rename("create_user_v2") - + # Update parameter types new_api.get_parameter("email").type = "EmailStr" new_api.get_parameter("role").type = "UserRole" - + # Add new required parameters new_api.add_parameter("tenant_id: UUID") - + # Update all call sites for call in old_api.call_sites: # Get current arguments email_arg = call.get_arg_by_parameter_name("email") role_arg = call.get_arg_by_parameter_name("role") - + # Build new argument list with type conversions new_args = [ f"email=EmailStr({email_arg.value})", f"role=UserRole({role_arg.value})", "tenant_id=get_current_tenant_id()" ] - + # Replace old call with new version call.replace(f"create_user_v2({', '.join(new_args)})") - + # Add deprecation notice to old version old_api.add_decorator('@deprecated("Use create_user_v2 instead")') @@ -8648,10 +8647,10 @@ migrate_api_v1_to_v2(codebase) ```python # First update parameter names param.rename("new_name") - + # Then update types param.type = "new_type" - + # Finally update call sites for call in api.call_sites: # ... update calls @@ -8661,7 +8660,7 @@ migrate_api_v1_to_v2(codebase) ```python # Add new parameter with default api.add_parameter("new_param: str = None") - + # Later make it required api.get_parameter("new_param").remove_default() ``` @@ -8676,7 +8675,7 @@ migrate_api_v1_to_v2(codebase) Remember to test thoroughly after making bulk changes to APIs. While Codegen ensures syntactic correctness, you'll want to verify the semantic correctness of the changes. - + --- title: "Organizing Your Codebase" @@ -9240,16 +9239,16 @@ from collections import defaultdict # Create a graph of file dependencies def create_dependency_graph(): G = nx.DiGraph() - + for file in codebase.files: # Add node for this file G.add_node(file.filepath) - + # Add edges for each import for imp in file.imports: if imp.from_file: # Skip external imports G.add_edge(file.filepath, imp.from_file.filepath) - + return G # Create and analyze the graph @@ -9278,18 +9277,18 @@ def break_circular_dependency(cycle): # Get the first two files in the cycle file1 = codebase.get_file(cycle[0]) file2 = codebase.get_file(cycle[1]) - + # Create a shared module for common code shared_dir = "shared" if not codebase.has_directory(shared_dir): codebase.create_directory(shared_dir) - + # Find symbols used by both files shared_symbols = [] for symbol in file1.symbols: if any(usage.file == file2 for usage in symbol.usages): shared_symbols.append(symbol) - + # Move shared symbols to a new file if shared_symbols: shared_file = codebase.create_file(f"{shared_dir}/shared_types.py") @@ -9311,7 +9310,7 @@ def organize_file_imports(file): std_lib_imports = [] third_party_imports = [] local_imports = [] - + for imp in file.imports: if imp.is_standard_library: std_lib_imports.append(imp) @@ -9319,26 +9318,26 @@ def organize_file_imports(file): third_party_imports.append(imp) else: local_imports.append(imp) - + # Sort each group for group in [std_lib_imports, third_party_imports, local_imports]: group.sort(key=lambda x: x.module_name) - + # Remove all existing imports for imp in file.imports: imp.remove() - + # Add imports back in organized groups if std_lib_imports: for imp in std_lib_imports: file.add_import(imp.source) file.insert_after_imports("") # Add newline - + if third_party_imports: for imp in third_party_imports: file.add_import(imp.source) file.insert_after_imports("") # Add newline - + if local_imports: for imp in local_imports: file.add_import(imp.source) @@ -9357,22 +9356,22 @@ from collections import defaultdict def analyze_module_coupling(): coupling_scores = defaultdict(int) - + for file in codebase.files: # Count unique files imported from imported_files = {imp.from_file for imp in file.imports if imp.from_file} coupling_scores[file.filepath] = len(imported_files) - + # Count files that import this file - importing_files = {usage.file for symbol in file.symbols + importing_files = {usage.file for symbol in file.symbols for usage in symbol.usages if usage.file != file} coupling_scores[file.filepath] += len(importing_files) - + # Sort by coupling score - sorted_files = sorted(coupling_scores.items(), - key=lambda x: x[1], + sorted_files = sorted(coupling_scores.items(), + key=lambda x: x[1], reverse=True) - + print("\nπŸ” Module Coupling Analysis:") print("\nMost coupled files:") for filepath, score in sorted_files[:5]: @@ -9390,9 +9389,9 @@ def extract_shared_code(file, min_usages=3): # Find symbols used by multiple files for symbol in file.symbols: # Get unique files using this symbol - using_files = {usage.file for usage in symbol.usages + using_files = {usage.file for usage in symbol.usages if usage.file != file} - + if len(using_files) >= min_usages: # Create appropriate shared module module_name = determine_shared_module(symbol) @@ -9400,7 +9399,7 @@ def extract_shared_code(file, min_usages=3): shared_file = codebase.create_file(f"shared/{module_name}.py") else: shared_file = codebase.get_file(f"shared/{module_name}.py") - + # Move symbol to shared module symbol.move_to_file(shared_file, strategy="update_all_imports") @@ -9454,7 +9453,7 @@ if feature_flag_class: # Initialize usage count for all attributes for attr in feature_flag_class.attributes: feature_flag_usage[attr.name] = 0 - + # Get all usages of the FeatureFlag class for usage in feature_flag_class.usages: usage_source = usage.usage_symbol.source if hasattr(usage, 'usage_symbol') else str(usage) @@ -10199,7 +10198,7 @@ Let's break down how this works: if export.is_reexport() and export.is_default_export(): print(f" πŸ”„ Converting default export '{export.name}'") ``` - + The code identifies default exports by checking: 1. If it's a re-export (`is_reexport()`) 2. If it's a default export (`is_default_export()`) @@ -10307,7 +10306,7 @@ for file in codebase.files: print(f"✨ Fixed exports in {target_file.filepath}") -``` +``` --- title: "Creating Documentation" @@ -10396,11 +10395,11 @@ for directory in codebase.directories: # Skip test, sql and alembic directories if any(x in directory.path.lower() for x in ['test', 'sql', 'alembic']): continue - + # Get undecorated functions funcs = [f for f in directory.functions if not f.is_decorated] total = len(funcs) - + # Only analyze dirs with >10 functions if total > 10: documented = sum(1 for f in funcs if f.docstring) @@ -10415,12 +10414,12 @@ for directory in codebase.directories: if dir_stats: lowest_dir = min(dir_stats.items(), key=lambda x: x[1]['coverage']) path, stats = lowest_dir - + print(f"πŸ“‰ Lowest coverage directory: '{path}'") print(f" β€’ Total functions: {stats['total']}") print(f" β€’ Documented: {stats['documented']}") print(f" β€’ Coverage: {stats['coverage']:.1f}%") - + # Print all directory stats for comparison print("\nπŸ“Š All directory coverage rates:") for path, stats in sorted(dir_stats.items(), key=lambda x: x[1]['coverage']): @@ -11208,7 +11207,7 @@ iconType: "solid" -Import loops occur when two or more Python modules depend on each other, creating a circular dependency. While some import cycles can be harmless, others can lead to runtime errors and make code harder to maintain. +Import loops occur when two or more Python modules depend on each other, creating a circular dependency. While some import cycles can be harmless, others can lead to runtime errors and make code harder to maintain. In this tutorial, we'll explore how to identify and fix problematic import cycles using Codegen. @@ -12105,7 +12104,7 @@ Match (s: Func )-[r: CALLS]-> (e:Func) RETURN s, e LIMIT 10 ```cypher Match path = (:(Method|Func)) -[:CALLS*5..10]-> (:(Method|Func)) -Return path +Return path LIMIT 20 ``` @@ -12123,8 +12122,8 @@ iconType: "solid" # AI Impact Analysis -This tutorial shows how to use Codegen's attribution extension to analyze the impact of AI on your -codebase. You'll learn how to identify which parts of your code were written by AI tools like +This tutorial shows how to use Codegen's attribution extension to analyze the impact of AI on your +codebase. You'll learn how to identify which parts of your code were written by AI tools like GitHub Copilot, Devin, or other AI assistants. Note: the code is flexible - you can track CI pipeline bots, or any other contributor you want. @@ -12203,7 +12202,7 @@ for symbol in codebase.symbols: ### Customizing AI Author Detection -By default, the analysis looks for common AI bot names in commit authors. +By default, the analysis looks for common AI bot names in commit authors. You can customize this by providing your own list of AI authors: ```python @@ -12244,34 +12243,34 @@ from codegen.shared.enums.programming_language import ProgrammingLanguage def analyze_contributors(codebase): """Analyze contributors to the codebase and their impact.""" print("\nπŸ” Contributor Analysis:") - + # Define which authors are considered AI ai_authors = ['devin[bot]', 'codegen[bot]', 'github-actions[bot]', 'dependabot[bot]'] - + # Add attribution information to all symbols print("Adding attribution information to symbols...") add_attribution_to_symbols(codebase, ai_authors) - + # Collect statistics about contributors contributor_stats = Counter() ai_contributor_stats = Counter() - + print("Analyzing symbol attributions...") for symbol in codebase.symbols: if hasattr(symbol, 'last_editor') and symbol.last_editor: contributor_stats[symbol.last_editor] += 1 - + # Track if this is an AI contributor if any(ai in symbol.last_editor for ai in ai_authors): ai_contributor_stats[symbol.last_editor] += 1 - + # Print top contributors overall print("\nπŸ‘₯ Top Contributors by Symbols Authored:") for contributor, count in contributor_stats.most_common(10): is_ai = any(ai in contributor for ai in ai_authors) ai_indicator = "πŸ€–" if is_ai else "πŸ‘€" print(f" {ai_indicator} {contributor}: {count} symbols") - + # Print top AI contributors if any if ai_contributor_stats: print("\nπŸ€– Top AI Contributors:") @@ -12283,24 +12282,23 @@ if os.path.exists(".git"): repo_path = os.getcwd() repo_config = RepoConfig.from_repo_path(repo_path) repo_operator = RepoOperator(repo_config=repo_config) - + project = ProjectConfig.from_repo_operator( repo_operator=repo_operator, programming_language=ProgrammingLanguage.PYTHON ) codebase = Codebase(projects=[project]) - + # Run the contributor analysis analyze_contributors(codebase) ``` ## Conclusion -The attribution extension provides valuable insights into how AI tools are being used in your +The attribution extension provides valuable insights into how AI tools are being used in your development process. By understanding which parts of your codebase are authored by AI, you can: - Track the adoption of AI coding assistants in your team - Identify areas where AI is most effective - Ensure appropriate review of AI-generated code - Measure the impact of AI on developer productivity - diff --git a/tests/integration/extension/__init__.py b/tests/integration/extension/__init__.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/tests/integration/extension/codegen_app/test_add_handlers.py b/tests/integration/extension/codegen_app/test_add_handlers.py deleted file mode 100644 index 1359c9937..000000000 --- a/tests/integration/extension/codegen_app/test_add_handlers.py +++ /dev/null @@ -1,90 +0,0 @@ -import pytest -from slack_sdk import WebClient - -from codegen.extensions.events.codegen_app import CodegenApp -from codegen.extensions.events.slack import SlackEvent - - -@pytest.fixture -def app(): - """Create a test CodegenApp instance""" - return CodegenApp(name="test-handlers") - - -def test_register_slack_handler(app): - """Test registering a Slack event handler""" - - @app.slack.event("message") - def handle_message(client: WebClient, event: SlackEvent): - return {"message": "Handled slack message"} - - # Verify handler was registered - assert "message" in app.slack.registered_handlers - assert app.slack.registered_handlers["message"] is not None - - -def test_register_github_handler(app): - """Test registering a GitHub event handler""" - - @app.github.event("pull_request:opened") - def handle_pr(event: dict): - return {"message": "Handled PR"} - - # Verify handler was registered - assert "pull_request:opened" in app.github.registered_handlers - assert app.github.registered_handlers["pull_request:opened"] is not None - - -def test_register_linear_handler(app): - """Test registering a Linear event handler""" - - @app.linear.event("Issue") - def handle_issue(event: dict): - return {"message": "Handled issue"} - - # Verify handler was registered - handler = app.linear.registered_handlers[handle_issue.__qualname__] - assert handler.event_name == "Issue" - assert handler.handler_func is not None - - -def test_register_multiple_handlers(app): - """Test registering multiple handlers across different providers""" - - # Register Slack handler - @app.slack.event("message") - def handle_slack(client: WebClient, event: SlackEvent): - return {"message": "Handled slack"} - - # Register GitHub handler - @app.github.event("push") - def handle_push(event: dict): - return {"message": "Handled push"} - - # Register Linear handler - @app.linear.event("Issue") - def handle_linear(event: dict): - return {"message": "Handled linear"} - - # Verify all handlers were registered - assert "message" in app.slack.registered_handlers - assert "push" in app.github.registered_handlers - assert handle_linear.__qualname__ in app.linear.registered_handlers - - # Verify each handler is properly configured - assert app.slack.registered_handlers["message"] is not None - assert app.github.registered_handlers["push"] is not None - assert app.linear.registered_handlers[handle_linear.__qualname__].event_name == "Issue" - - -def test_handler_registration_is_isolated(app): - """Test that handlers are properly isolated between provider types""" - - @app.slack.event("message") - def handle_slack(client: WebClient, event: SlackEvent): - return {"message": "Handled slack"} - - # Verify handler is only in Slack registry - assert "message" in app.slack.registered_handlers - assert "message" not in app.github.registered_handlers - assert not any(h.event_name == "message" for h in app.linear.registered_handlers.values()) diff --git a/tests/integration/extension/codegen_app/test_handler_logic.py b/tests/integration/extension/codegen_app/test_handler_logic.py deleted file mode 100644 index 3571b7339..000000000 --- a/tests/integration/extension/codegen_app/test_handler_logic.py +++ /dev/null @@ -1,299 +0,0 @@ -import asyncio -from contextlib import asynccontextmanager - -import pytest -from uvicorn.config import Config -from uvicorn.server import Server - -from codegen.extensions.events.client import CodegenClient -from codegen.extensions.events.codegen_app import CodegenApp -from codegen.extensions.github.types.events.pull_request import PullRequestLabeledEvent -from codegen.extensions.linear.types import LinearEvent -from codegen.extensions.slack.types import SlackEvent - - -@pytest.fixture -def app(): - """Create a test CodegenApp instance""" - return CodegenApp(name="test-handlers") - - -@pytest.fixture -def app_with_handlers(app): - """Create a CodegenApp instance with pre-registered handlers""" - - # Register Slack handler - @app.slack.event("app_mention") - async def handle_mention(event: SlackEvent): - return {"message": "Mentioned", "received_text": event.text} - - # Register GitHub handler - @app.github.event("pull_request:labeled") - def handle_labeled(event: PullRequestLabeledEvent): - return { - "message": "PR labeled", - "pr_number": event.number, - "label": event.label.name, - "title": event.pull_request.title, - } - - # Register Linear handler - @app.linear.event("Issue") - def handle_issue_created(event: LinearEvent): - return { - "message": "Issue created", - "issue_id": event.data.id, - "title": event.data.title, - } - - return app - - -@asynccontextmanager -async def run_codegen_app(app: CodegenApp): - """Run the CodegenApp server as a context manager""" - # Configure uvicorn - config = Config(app=app.app, host="127.0.0.1", port=8000, log_level="info") - server = Server(config=config) - - # Start the server - server_task = asyncio.create_task(server.serve()) - await asyncio.sleep(1) # Give the server a moment to start - - try: - yield server - finally: - # Shutdown the server - server.should_exit = True - await server_task - - -@pytest.mark.asyncio -async def test_server_slack_mention(app_with_handlers): - """Test sending a Slack mention through the actual server""" - async with run_codegen_app(app_with_handlers): - # Create a test client - client = CodegenClient() - - try: - # Send test mention - response = await client.send_slack_message(text="<@U123BOT> help me with this code", channel="C123TEST", event_type="app_mention") - - # Verify the response - assert response is not None - assert response["message"] == "Mentioned" - assert response["received_text"] == "<@U123BOT> help me with this code" - - finally: - await client.close() - - -@pytest.mark.asyncio -async def test_simulate_slack_mention(app_with_handlers): - """Test simulating a Slack app_mention event""" - # Create a test mention payload - payload = { - "token": "test_token", - "team_id": "T123456", - "api_app_id": "A123456", - "event": { - "type": "app_mention", - "user": "U123456", - "text": "<@U123BOT> help me with this code", - "ts": "1234567890.123456", - "channel": "C123456", - "event_ts": "1234567890.123456", - }, - "type": "event_callback", - "event_id": "Ev123456", - "event_time": 1234567890, - } - - # Simulate the event - response = await app_with_handlers.simulate_event(provider="slack", event_type="app_mention", payload=payload) - - # Verify the response - assert response is not None - assert response["message"] == "Mentioned" - assert response["received_text"] == "<@U123BOT> help me with this code" - - -@pytest.mark.asyncio -async def test_simulate_unknown_provider(app_with_handlers): - """Test simulating an event with an unknown provider""" - with pytest.raises(ValueError) as exc_info: - await app_with_handlers.simulate_event(provider="unknown", event_type="test", payload={}) - - assert "Unknown provider" in str(exc_info.value) - - -@pytest.mark.asyncio -async def test_simulate_unregistered_event(app_with_handlers): - """Test simulating an event type that has no registered handler""" - payload = {"event": {"type": "unknown_event", "user": "U123456"}} - - response = await app_with_handlers.simulate_event(provider="slack", event_type="unknown_event", payload=payload) - - # Should return a default response for unhandled events - assert response["message"] == "Event handled successfully" - - -@pytest.mark.asyncio -async def test_simulate_github_pr_labeled(app_with_handlers): - """Test simulating a GitHub PR labeled event""" - # Create a test PR labeled payload - payload = { - "action": "labeled", - "number": 123, - "pull_request": { - "id": 12345, - "number": 123, - "state": "open", - "locked": False, - "title": "Test PR", - "user": {"id": 1, "login": "test-user"}, - "body": "Test PR body", - "labels": [], - "created_at": "2024-01-01T00:00:00Z", - "updated_at": "2024-01-01T00:00:00Z", - "draft": False, - }, - "label": {"id": 1, "node_id": "123", "url": "https://api.github.com/repos/test/test/labels/bug", "name": "bug", "description": "Bug report", "color": "red", "default": False}, - "repository": {"id": 1, "name": "test"}, - "sender": {"id": 1, "login": "test-user"}, - } - - # Simulate the event - response = await app_with_handlers.simulate_event(provider="github", event_type="pull_request:labeled", payload=payload) - - # Verify the response - assert response is not None - assert response["message"] == "PR labeled" - assert response["pr_number"] == 123 - assert response["label"] == "bug" - assert response["title"] == "Test PR" - - -@pytest.mark.asyncio -async def test_server_github_pr_labeled(app_with_handlers): - """Test sending a GitHub PR labeled event through the actual server""" - async with run_codegen_app(app_with_handlers): - # Create a test client - client = CodegenClient() - - try: - # Create test PR labeled payload - payload = { - "action": "labeled", - "number": 123, - "pull_request": { - "id": 12345, - "number": 123, - "node_id": "PR_123", - "state": "open", - "locked": False, - "title": "Test PR", - "user": {"id": 1, "login": "test-user", "node_id": "U_123", "type": "User"}, - "body": "Test PR body", - "labels": [], - "created_at": "2024-01-01T00:00:00Z", - "updated_at": "2024-01-01T00:00:00Z", - "draft": False, - "head": { - "label": "user:feature", - "ref": "feature", - "sha": "abc123", - "user": {"id": 1, "login": "test-user", "node_id": "U_123", "type": "User"}, - "repo": {"id": 1, "name": "test", "node_id": "R_123", "full_name": "test/test", "private": False, "owner": {"id": 1, "login": "test-user", "node_id": "U_123", "type": "User"}}, - }, - "base": { - "label": "main", - "ref": "main", - "sha": "def456", - "user": {"id": 1, "login": "test-user", "node_id": "U_123", "type": "User"}, - "repo": {"id": 1, "name": "test", "node_id": "R_123", "full_name": "test/test", "private": False, "owner": {"id": 1, "login": "test-user", "node_id": "U_123", "type": "User"}}, - }, - }, - "label": {"id": 1, "node_id": "L_123", "url": "https://api.github.com/repos/test/test/labels/bug", "name": "bug", "description": "Bug report", "color": "red", "default": False}, - "repository": {"id": 1, "name": "test", "node_id": "R_123", "full_name": "test/test", "private": False, "owner": {"id": 1, "login": "test-user", "node_id": "U_123", "type": "User"}}, - "sender": {"id": 1, "login": "test-user", "node_id": "U_123", "type": "User"}, - } - - # Send test event - response = await client.send_github_event( - event_type="pull_request", - action="labeled", - payload=payload, - ) - - # Verify the response - assert response is not None - assert response["message"] == "PR labeled" - assert response["pr_number"] == 123 - assert response["label"] == "bug" - assert response["title"] == "Test PR" - - finally: - await client.close() - - -@pytest.mark.asyncio -async def test_simulate_linear_issue_created(app_with_handlers): - """Test simulating a Linear issue created event""" - # Create a test issue created payload - payload = { - "action": "create", - "type": "Issue", - "data": { - "id": "abc-123", - "title": "Test Issue", - "description": "This is a test issue", - "priority": 1, - "teamId": "team-123", - }, - "url": "https://linear.app/company/issue/ABC-123", - } - - # Simulate the event - response = await app_with_handlers.simulate_event(provider="linear", event_type="Issue", payload=payload) - - # Verify the response - assert response is not None - assert response["message"] == "Issue created" - assert response["issue_id"] == "abc-123" - assert response["title"] == "Test Issue" - - -@pytest.mark.asyncio -async def test_server_linear_issue_created(app_with_handlers): - """Test sending a Linear issue created event through the actual server""" - async with run_codegen_app(app_with_handlers): - # Create a test client - client = CodegenClient() - - try: - # Create test issue created payload - payload = { - "action": "create", - "type": "Issue", - "data": { - "id": "abc-123", - "title": "Test Issue", - "description": "This is a test issue", - "priority": 1, - "teamId": "team-123", - }, - "url": "https://linear.app/company/issue/ABC-123", - } - - # Send test event - response = await client.send_linear_event(payload=payload) - - # Verify the response - assert response is not None - assert response["message"] == "Issue created" - assert response["issue_id"] == "abc-123" - assert response["title"] == "Test Issue" - - finally: - await client.close() diff --git a/tests/integration/extension/codegen_app/test_server.ipynb b/tests/integration/extension/codegen_app/test_server.ipynb deleted file mode 100644 index b882894b2..000000000 --- a/tests/integration/extension/codegen_app/test_server.ipynb +++ /dev/null @@ -1,184 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%load_ext autoreload\n", - "%autoreload 2\n", - "import asyncio\n", - "from contextlib import asynccontextmanager\n", - "\n", - "import pytest\n", - "from slack_sdk import WebClient\n", - "from uvicorn.config import Config\n", - "from uvicorn.server import Server\n", - "\n", - "from codegen.extensions.events.client import CodegenClient\n", - "from codegen.extensions.events.codegen_app import CodegenApp\n", - "from codegen.extensions.slack.types import SlackEvent" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "client = CodegenClient(base_url=\"https://codegen-sh-staging--codegen-test-fastapi-app.modal.run\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Slack" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "response = await client.send_slack_message(text=\"\", channel=\"C123TEST\", event_type=\"app_mention\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "response" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Github" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "payload = {\n", - " \"action\": \"labeled\",\n", - " \"number\": 123,\n", - " \"pull_request\": {\n", - " \"id\": 12345,\n", - " \"number\": 123,\n", - " \"node_id\": \"PR_123\",\n", - " \"state\": \"open\",\n", - " \"locked\": False,\n", - " \"title\": \"Test PR\",\n", - " \"user\": {\"id\": 1, \"login\": \"test-user\", \"node_id\": \"U_123\", \"type\": \"User\"},\n", - " \"body\": \"Test PR body\",\n", - " \"labels\": [],\n", - " \"created_at\": \"2024-01-01T00:00:00Z\",\n", - " \"updated_at\": \"2024-01-01T00:00:00Z\",\n", - " \"draft\": False,\n", - " \"head\": {\n", - " \"label\": \"user:feature\",\n", - " \"ref\": \"feature\",\n", - " \"sha\": \"abc123\",\n", - " \"user\": {\"id\": 1, \"login\": \"test-user\", \"node_id\": \"U_123\", \"type\": \"User\"},\n", - " \"repo\": {\"id\": 1, \"name\": \"test\", \"node_id\": \"R_123\", \"full_name\": \"test/test\", \"private\": False, \"owner\": {\"id\": 1, \"login\": \"test-user\", \"node_id\": \"U_123\", \"type\": \"User\"}},\n", - " },\n", - " \"base\": {\n", - " \"label\": \"main\",\n", - " \"ref\": \"main\",\n", - " \"sha\": \"def456\",\n", - " \"user\": {\"id\": 1, \"login\": \"test-user\", \"node_id\": \"U_123\", \"type\": \"User\"},\n", - " \"repo\": {\"id\": 1, \"name\": \"test\", \"node_id\": \"R_123\", \"full_name\": \"test/test\", \"private\": False, \"owner\": {\"id\": 1, \"login\": \"test-user\", \"node_id\": \"U_123\", \"type\": \"User\"}},\n", - " },\n", - " },\n", - " \"label\": {\"id\": 1, \"node_id\": \"L_123\", \"url\": \"https://api.github.com/repos/test/test/labels/bug\", \"name\": \"bug\", \"description\": \"Bug report\", \"color\": \"red\", \"default\": False},\n", - " \"repository\": {\"id\": 1, \"name\": \"test\", \"node_id\": \"R_123\", \"full_name\": \"test/test\", \"private\": False, \"owner\": {\"id\": 1, \"login\": \"test-user\", \"node_id\": \"U_123\", \"type\": \"User\"}},\n", - " \"sender\": {\"id\": 1, \"login\": \"test-user\", \"node_id\": \"U_123\", \"type\": \"User\"},\n", - "}\n", - "\n", - "# Send test event\n", - "response = await client.send_github_event(\n", - " event_type=\"pull_request\",\n", - " action=\"labeled\",\n", - " payload=payload,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Linear" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Create test issue created payload\n", - "payload = {\n", - " \"action\": \"create\",\n", - " \"type\": \"Issue\",\n", - " \"data\": {\n", - " \"id\": \"abc-123\",\n", - " \"title\": \"Test Issue\",\n", - " \"description\": \"This is a test issue\",\n", - " \"priority\": 1,\n", - " \"teamId\": \"team-123\",\n", - " },\n", - " \"url\": \"https://linear.app/company/issue/ABC-123\",\n", - "}\n", - "\n", - "# Send test event\n", - "response = await client.send_linear_event(payload=payload)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "response" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.13.0" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/tests/integration/extension/test_bash.py b/tests/integration/extension/test_bash.py deleted file mode 100644 index b7296556f..000000000 --- a/tests/integration/extension/test_bash.py +++ /dev/null @@ -1,90 +0,0 @@ -"""Tests for bash command tools.""" - -import time - -from codegen.extensions.tools.bash import run_bash_command - - -def test_run_bash_command() -> None: - """Test running a bash command.""" - # Test a simple echo command - result = run_bash_command("echo 'Hello, World!'") - assert result["status"] == "success" - assert "Hello, World!" in result["stdout"] - assert result["stderr"] == "" - - # Test ls with combined flags - result = run_bash_command("ls -la") - assert result["status"] == "success" - - # Test ls with separate flags - result = run_bash_command("ls -l -a") - assert result["status"] == "success" - - # Test ls with long option - result = run_bash_command("ls --color") - assert result["status"] == "success" - - # Test grep with allowed flags - result = run_bash_command("grep -n test *.py") - assert result["status"] == "success" - - -def test_command_validation() -> None: - """Test command validation.""" - # Test disallowed command - result = run_bash_command("rm -rf /") - assert result["status"] == "error" - assert "dangerous pattern: remove command" in result["error"] - - # Test command with disallowed flags - result = run_bash_command("ls --invalid-flag") - assert result["status"] == "error" - assert "Flags" in result["error"] - assert "not allowed" in result["error"] - - # Test command with invalid combined flags - result = run_bash_command("ls -laz") # -z is not allowed - assert result["status"] == "error" - assert "Flags {'-z'} are not allowed" in result["error"] - - # Test dangerous patterns - dangerous_commands = [ - "ls | grep test", # Pipe - "ls; rm file", # Command chaining - "ls > output.txt", # Redirection - "sudo ls", # Sudo - "ls ../parent", # Parent directory - "mv file1 file2", # Move - "cp file1 file2", # Copy - "chmod +x file", # Change permissions - ] - - expected_patterns = [ - "shell operators", # For pipe - "shell operators", # For command chaining - "output redirection", # For redirection - "sudo command", # For sudo - "parent directory traversal", # For parent directory - "move command", # For move - "copy command", # For copy - "chmod command", # For chmod - ] - - for cmd, pattern in zip(dangerous_commands, expected_patterns): - result = run_bash_command(cmd) - assert result["status"] == "error", f"Command should be blocked: {cmd}" - assert f"dangerous pattern: {pattern}" in result["error"], f"Expected '{pattern}' in error for command: {cmd}" - - -def test_background_command() -> None: - """Test background command execution.""" - # Test a safe background command - result = run_bash_command("tail -f /dev/null", is_background=True) - assert result["status"] == "success" - assert "started in background with PID" in result["message"] - - # Clean up by finding and killing the background process - pid = int(result["message"].split()[-1]) - run_bash_command(f"ps -p {pid} || true") # Check if process exists - time.sleep(1) # Give process time to start/stop diff --git a/tests/integration/extension/test_github.py b/tests/integration/extension/test_github.py deleted file mode 100644 index 4b6b82693..000000000 --- a/tests/integration/extension/test_github.py +++ /dev/null @@ -1,61 +0,0 @@ -"""Tests for GitHub tools.""" - -import os - -import pytest - -from codegen.extensions.tools.github import search, view_pr -from codegen.sdk.core.codebase import Codebase - - -@pytest.fixture -def codebase() -> Codebase: - """Create a Codebase instance for testing.""" - token = os.getenv("GITHUB_TOKEN") - if not token: - pytest.skip("GITHUB_TOKEN environment variable not set") - codebase = Codebase.from_repo("codegen-sh/Kevin-s-Adventure-Game") - return codebase - - -def test_github_view_pr(codebase: Codebase) -> None: - """Test viewing a PR from GitHub.""" - # Link to PR: https://github.com/codegen-sh/Kevin-s-Adventure-Game/pull/419 - pr = view_pr(codebase, 419) - print(pr) - - -def test_github_search_issues(codebase: Codebase) -> None: - """Test searching GitHub issues.""" - # Search for closed issues with the 'bug' label - result = search(codebase, query="is:issue is:closed") - assert result.status == "success" - assert len(result.results) > 0 - assert "is:issue is:closed" in result.query - - # Verify issue structure - if result.results: - issue = result.results[0] - assert "title" in issue - assert "number" in issue - assert "state" in issue - assert issue["state"] == "closed" - assert not issue["is_pr"] # Should be an issue, not a PR - - -def test_github_search_prs(codebase: Codebase) -> None: - """Test searching GitHub pull requests.""" - # Search for merged PRs - result = search(codebase, query="is:pr is:merged") - assert result.status == "success" - assert len(result.results) > 0 - assert "is:pr is:merged" in result.query - - # Verify PR structure - if result.results: - pr = result.results[0] - assert "title" in pr - assert "number" in pr - assert "state" in pr - assert pr["state"] == "closed" - assert pr["is_pr"] # Should be a PR diff --git a/tests/integration/extension/test_linear.py b/tests/integration/extension/test_linear.py deleted file mode 100644 index 2ad1ce043..000000000 --- a/tests/integration/extension/test_linear.py +++ /dev/null @@ -1,116 +0,0 @@ -"""Tests for Linear tools.""" - -import os - -import pytest -import requests - -from codegen.extensions.linear.linear_client import LinearClient -from codegen.extensions.tools.linear.linear import ( - linear_comment_on_issue_tool, - linear_create_issue_tool, - linear_get_issue_comments_tool, - linear_get_issue_tool, - linear_get_teams_tool, - linear_search_issues_tool, -) - - -@pytest.fixture -def client() -> LinearClient: - """Create a Linear client for testing.""" - token = os.getenv("LINEAR_ACCESS_TOKEN") - if not token: - pytest.skip("LINEAR_ACCESS_TOKEN environment variable not set") - team_id = os.getenv("LINEAR_TEAM_ID") - if not team_id: - pytest.skip("LINEAR_TEAM_ID environment variable not set") - return LinearClient(token, team_id) - - -def test_linear_get_issue(client: LinearClient) -> None: - """Test getting an issue from Linear.""" - # Link to issue: https://linear.app/codegen-sh/issue/CG-10775/read-file-and-reveal-symbol-tool-size-limits - result = linear_get_issue_tool(client, "CG-10775") - assert result.status == "success" - assert result.issue_id == "CG-10775" - assert result.issue_data["id"] == "d5a7d6db-e20d-4d67-98f8-acedef6d3536" - - -def test_linear_get_issue_comments(client: LinearClient) -> None: - """Test getting comments for an issue from Linear.""" - result = linear_get_issue_comments_tool(client, "CG-10775") - assert result.status == "success" - assert result.issue_id == "CG-10775" - assert len(result.comments) > 1 - - -def test_linear_comment_on_issue(client: LinearClient) -> None: - """Test commenting on a Linear issue.""" - test_comment = "Test comment from automated testing" - result = linear_comment_on_issue_tool(client, "CG-10775", test_comment) - assert result.status == "success" - assert result.issue_id == "CG-10775" - assert result.comment["body"] == test_comment - - -def test_search_issues(client: LinearClient) -> None: - """Test searching for issues in Linear.""" - result = linear_search_issues_tool(client, "REVEAL_SYMBOL") - assert result.status == "success" - assert result.query == "REVEAL_SYMBOL" - assert len(result.issues) > 0 - - -def test_create_issue(client: LinearClient) -> None: - """Test creating an issue in Linear.""" - # Test creating an issue with explicit team_id - title = "Test Issue - Automated Testing (Explicit Team)" - description = "This is a test issue created by automated testing with explicit team_id" - - issue = client.create_issue(title, description) - assert issue.title == title - assert issue.description == description - - # Test creating an issue using default team_id from environment - title2 = "Test Issue - Automated Testing (Default Team)" - description2 = "This is a test issue created by automated testing with default team_id" - - issue2 = client.create_issue(title2, description2) - assert issue2.title == title2 - assert issue2.description == description2 - - # Test the tool wrapper with default team_id - result = linear_create_issue_tool(client, "Test Tool Issue", "Test description from tool") - assert result.status == "success" - assert result.title == "Test Tool Issue" - assert result.issue_data["title"] == "Test Tool Issue" - assert result.issue_data["description"] == "Test description from tool" - - -def test_get_teams(client: LinearClient) -> None: - """Test getting teams from Linear.""" - result = linear_get_teams_tool(client) - assert result.status == "success" - assert len(result.teams) > 0 - - # Verify team structure - team = result.teams[0] - assert "id" in team - assert "name" in team - assert "key" in team - - -def test_linear_get_issue_network_error(client): - """Test handling of network errors.""" - # Setup mock to raise network error - client.get_issue.side_effect = requests.exceptions.ConnectionError("Network error") - - # Call function - result = linear_get_issue_tool(client, "TEST-123") - - # Verify - assert result.status == "error" - assert "Network error" in result.error - assert result.issue_id == "TEST-123" - assert result.issue_data == {} diff --git a/tests/unit/codegen/extensions/langchain/__init__.py b/tests/unit/codegen/extensions/langchain/__init__.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/tests/unit/codegen/extensions/langchain/test_agent.py b/tests/unit/codegen/extensions/langchain/test_agent.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/tests/unit/codegen/extensions/langchain/test_llm.py b/tests/unit/codegen/extensions/langchain/test_llm.py deleted file mode 100644 index 9087c38ff..000000000 --- a/tests/unit/codegen/extensions/langchain/test_llm.py +++ /dev/null @@ -1,155 +0,0 @@ -"""Tests for the unified LLM class.""" - -import os -from unittest.mock import AsyncMock, patch - -import pytest -from langchain_anthropic import ChatAnthropic -from langchain_core.messages import HumanMessage -from langchain_openai import ChatOpenAI - -from codegen.extensions.langchain.llm import LLM - - -@pytest.fixture -def mock_env(): - """Mock environment with API keys.""" - original_env = dict(os.environ) - os.environ.update( - { - "ANTHROPIC_API_KEY": "test-anthropic-key", - "OPENAI_API_KEY": "test-openai-key", - } - ) - yield - os.environ.clear() - os.environ.update(original_env) - - -def test_init_default_anthropic(mock_env): - """Test default initialization with Anthropic.""" - llm = LLM() - assert isinstance(llm._model, ChatAnthropic) - assert llm.model_provider == "anthropic" - assert llm.model_name == "claude-3-5-sonnet-latest" - assert llm.temperature == 0 - - -def test_init_openai(mock_env): - """Test initialization with OpenAI.""" - llm = LLM( - model_provider="openai", - model_name="gpt-4", - temperature=0.7, - top_p=0.9, - ) - assert isinstance(llm._model, ChatOpenAI) - assert llm.model_provider == "openai" - assert llm.model_name == "gpt-4" - assert llm.temperature == 0.7 - assert llm.top_p == 0.9 - - -def test_anthropic_missing_api_key(): - """Test error when Anthropic API key is missing.""" - with patch.dict(os.environ, {}, clear=True): - with pytest.raises(ValueError) as exc_info: - LLM() - assert "ANTHROPIC_API_KEY not found" in str(exc_info.value) - - -def test_openai_missing_api_key(): - """Test error when OpenAI API key is missing.""" - with patch.dict(os.environ, {}, clear=True): - with pytest.raises(ValueError) as exc_info: - LLM(model_provider="openai") - assert "OPENAI_API_KEY not found" in str(exc_info.value) - - -def test_invalid_model_provider(): - """Test error with invalid model provider.""" - with pytest.raises(ValueError) as exc_info: - LLM(model_provider="invalid") - assert "Must be one of: anthropic, openai" in str(exc_info.value) - - -def test_invalid_temperature(): - """Test error with invalid temperature.""" - with pytest.raises(ValueError) as exc_info: - LLM(temperature=2.0) - assert "temperature" in str(exc_info.value) - - -def test_invalid_top_p(): - """Test error with invalid top_p.""" - with pytest.raises(ValueError) as exc_info: - LLM(top_p=2.0) - assert "top_p" in str(exc_info.value) - - -def test_invalid_top_k(): - """Test error with invalid top_k.""" - with pytest.raises(ValueError) as exc_info: - LLM(top_k=0) - assert "top_k" in str(exc_info.value) - - -@pytest.mark.asyncio -async def test_generate_anthropic(mock_env): - """Test generate with Anthropic model.""" - llm = LLM() - messages = [HumanMessage(content="Hello!")] - - # Mock the underlying model's _generate method - mock_generate = AsyncMock() - with patch.object(ChatAnthropic, "_generate", mock_generate): - await llm._generate(messages) - mock_generate.assert_called_once_with( - messages, - stop=None, - run_manager=None, - ) - - -@pytest.mark.asyncio -async def test_generate_openai(mock_env): - """Test generate with OpenAI model.""" - llm = LLM(model_provider="openai") - messages = [HumanMessage(content="Hello!")] - - # Mock the underlying model's _generate method - mock_generate = AsyncMock() - with patch.object(ChatOpenAI, "_generate", mock_generate): - await llm._generate(messages) - mock_generate.assert_called_once_with( - messages, - stop=None, - run_manager=None, - ) - - -def test_unsupported_kwargs(mock_env): - """Test that unsupported kwargs are filtered out.""" - llm = LLM( - unsupported_kwarg="value", - temperature=0.5, - ) - assert not hasattr(llm, "unsupported_kwarg") - assert llm.temperature == 0.5 - - -@pytest.mark.asyncio -async def test_stop_sequence(mock_env): - """Test that stop sequences are passed through.""" - llm = LLM() - messages = [HumanMessage(content="Hello!")] - stop = ["STOP"] - - mock_generate = AsyncMock() - with patch.object(ChatAnthropic, "_generate", mock_generate): - await llm._generate(messages, stop=stop) - mock_generate.assert_called_once_with( - messages, - stop=stop, - run_manager=None, - ) diff --git a/tests/unit/codegen/extensions/test_message_annotation.py b/tests/unit/codegen/extensions/test_message_annotation.py index edffa4016..44531d127 100644 --- a/tests/unit/codegen/extensions/test_message_annotation.py +++ b/tests/unit/codegen/extensions/test_message_annotation.py @@ -1,216 +1,216 @@ -"""Tests for message annotation functionality.""" +# """Tests for message annotation functionality.""" -import pytest +# import pytest -from codegen.extensions.tools.link_annotation import ( - MessageChannel, - add_links_to_message, - extract_code_snippets, - format_link, - is_likely_filepath, -) -from codegen.sdk.codebase.factory.get_session import get_codebase_session +# from codegen.extensions.tools.link_annotation import ( +# MessageChannel, +# add_links_to_message, +# extract_code_snippets, +# format_link, +# is_likely_filepath, +# ) +# from codegen.sdk.codebase.factory.get_session import get_codebase_session -@pytest.fixture -def codebase(tmpdir): - """Create a simple codebase for testing.""" - # language=python - content = """ -def hello(): - print("Hello, world!") +# @pytest.fixture +# def codebase(tmpdir): +# """Create a simple codebase for testing.""" +# # language=python +# content = """ +# def hello(): +# print("Hello, world!") -class Greeter: - def greet(self): - hello() +# class Greeter: +# def greet(self): +# hello() -def hello_duplicate(): - pass +# def hello_duplicate(): +# pass -def hello_duplicate(): - pass +# def hello_duplicate(): +# pass -class Greeter_duplicate: - pass -""" - # Create multiple files to test file linking - files = { - "src/main.py": content, - "src/utils/helpers.py": "# Helper functions", - "src/utils/more/nested.py": "# Nested module", - "docs/README.md": "# Documentation", - "tsconfig.json": "{}", - } - with get_codebase_session(tmpdir=tmpdir, files=files) as codebase: - yield codebase +# class Greeter_duplicate: +# pass +# """ +# # Create multiple files to test file linking +# files = { +# "src/main.py": content, +# "src/utils/helpers.py": "# Helper functions", +# "src/utils/more/nested.py": "# Nested module", +# "docs/README.md": "# Documentation", +# "tsconfig.json": "{}", +# } +# with get_codebase_session(tmpdir=tmpdir, files=files) as codebase: +# yield codebase -def test_format_link_linear(): - """Test linear link formatting.""" - assert format_link("test", "http://example.com", MessageChannel.LINEAR) == "[test](http://example.com)" +# def test_format_link_linear(): +# """Test linear link formatting.""" +# assert format_link("test", "http://example.com", MessageChannel.LINEAR) == "[test](http://example.com)" -def test_format_link_markdown(): - """Test markdown link formatting.""" - assert format_link("test", "http://example.com", MessageChannel.MARKDOWN) == "[test](http://example.com)" +# def test_format_link_markdown(): +# """Test markdown link formatting.""" +# assert format_link("test", "http://example.com", MessageChannel.MARKDOWN) == "[test](http://example.com)" -def test_format_link_html(): - """Test HTML link formatting.""" - assert format_link("test", "http://example.com", MessageChannel.HTML) == "test" +# def test_format_link_html(): +# """Test HTML link formatting.""" +# assert format_link("test", "http://example.com", MessageChannel.HTML) == "test" -def test_format_link_slack(): - """Test Slack link formatting.""" - assert format_link("test", "http://example.com", MessageChannel.SLACK) == "" +# def test_format_link_slack(): +# """Test Slack link formatting.""" +# assert format_link("test", "http://example.com", MessageChannel.SLACK) == "" -def test_extract_code_snippets(): - """Test extracting code snippets from messages.""" - message = "Here is some `code` and `more code` and ```a code block``` and `final code`" - snippets = extract_code_snippets(message) - assert snippets == ["code", "more code", "final code"] +# def test_extract_code_snippets(): +# """Test extracting code snippets from messages.""" +# message = "Here is some `code` and `more code` and ```a code block``` and `final code`" +# snippets = extract_code_snippets(message) +# assert snippets == ["code", "more code", "final code"] -def test_is_likely_filepath(): - """Test filepath detection.""" - # Should detect paths with slashes - assert is_likely_filepath("src/file.py") - assert is_likely_filepath("path/to/file") +# def test_is_likely_filepath(): +# """Test filepath detection.""" +# # Should detect paths with slashes +# assert is_likely_filepath("src/file.py") +# assert is_likely_filepath("path/to/file") - # Should detect common extensions - assert is_likely_filepath("file.py") - assert is_likely_filepath("component.tsx") - assert is_likely_filepath("config.json") - assert is_likely_filepath("README.md") - - # Should not detect regular words - assert not is_likely_filepath("hello") - assert not is_likely_filepath("Greeter") - assert not is_likely_filepath("function") - - -def test_add_links_single_symbol(codebase): - """Test adding links for a single symbol.""" - message = "Here is the `hello` function" - result = add_links_to_message(message, codebase, channel=MessageChannel.SLACK) - assert "|hello>" in result - - -def test_add_links_class(codebase): - """Test adding links for a class.""" - message = "The `Greeter` class" - result = add_links_to_message(message, codebase) - assert "Greeter" in result - assert result.count("<") == 1 # One link should be created - - -def test_add_links_filepath(codebase): - """Test adding links for filepaths.""" - message = "Check out `src/main.py` and `src/utils/helpers.py`" - result = add_links_to_message(message, codebase) - assert "|src/main.py>" in result - assert "|src/utils/helpers.py>" in result - - -def test_add_links_directory(codebase): - """Test adding links for directories.""" - message = "Look in the `src/utils` directory and `src/utils/more`" - result = add_links_to_message(message, codebase) - assert "|src/utils>" in result - assert "|src/utils/more>" in result - - -def test_add_links_filepath_with_extension(codebase): - """Test adding links for files with common extensions.""" - message = "See `tsconfig.json` and `docs/README.md`" - result = add_links_to_message(message, codebase) - assert "|tsconfig.json>" in result - assert "|docs/README.md>" in result - - -def test_nonexistent_filepath(codebase): - """Test handling of nonexistent filepaths.""" - message = "This `src/nonexistent.py` should not be linked" - result = add_links_to_message(message, codebase) - assert result == message # Message should remain unchanged - - -def test_nonexistent_directory(codebase): - """Test handling of nonexistent directories.""" - message = "This `src/nonexistent/dir` should not be linked" - result = add_links_to_message(message, codebase) - assert result == message # Message should remain unchanged - - -def test_ignore_code_blocks(codebase): - """Test that code blocks are ignored.""" - message = """Here's a code block: -```python -def hello(): - print("Hello!") -``` -And here's an inline `hello` reference.""" - - result = add_links_to_message(message, codebase) - # The inline reference should be linked - assert "<" in result - # But the code block should remain unchanged - assert "```python" in result - assert "def hello():" in result - - -def test_nonexistent_symbol(codebase): - """Test handling of nonexistent symbols.""" - message = "This `nonexistent_function` should not be linked" - result = add_links_to_message(message, codebase) - assert result == message # Message should remain unchanged - - -def test_duplicate_symbols(codebase): - """Test handling of duplicate symbols.""" - message = "This `hello_duplicate` should not be linked" - result = add_links_to_message(message, codebase) - assert result == message # Message should remain unchanged - - -def test_mixed_content(codebase): - """Test message with mixed content types.""" - message = """Here's a complex message: -- Valid symbol: `hello` -- Valid file: `src/main.py` -- Valid directory: `src/utils` -- Invalid symbol: `nonexistent` -- Invalid file: `src/nonexistent.py` -- Invalid directory: `src/nonexistent/dir` -- Code block: -```python -def hello(): - pass -``` -- Duplicate symbol: `hello_duplicate` -- Another valid symbol: `Greeter` -- Another valid file: `docs/README.md` -""" - result = add_links_to_message(message, codebase) - - # Valid symbols should be linked - assert "|hello>" in result - assert "|Greeter>" in result - - # Valid files should be linked - assert "|src/main.py>" in result - assert "|docs/README.md>" in result - - # Valid directories should be linked - assert "|src/utils>" in result - - # Invalid symbols and files should remain as-is - assert "`nonexistent`" in result - assert "`src/nonexistent.py`" in result - assert "`src/nonexistent/dir`" in result - assert "`hello_duplicate`" in result - - # Code block should be preserved - assert "```python" in result - assert "def hello():" in result +# # Should detect common extensions +# assert is_likely_filepath("file.py") +# assert is_likely_filepath("component.tsx") +# assert is_likely_filepath("config.json") +# assert is_likely_filepath("README.md") + +# # Should not detect regular words +# assert not is_likely_filepath("hello") +# assert not is_likely_filepath("Greeter") +# assert not is_likely_filepath("function") + + +# def test_add_links_single_symbol(codebase): +# """Test adding links for a single symbol.""" +# message = "Here is the `hello` function" +# result = add_links_to_message(message, codebase, channel=MessageChannel.SLACK) +# assert "|hello>" in result + + +# def test_add_links_class(codebase): +# """Test adding links for a class.""" +# message = "The `Greeter` class" +# result = add_links_to_message(message, codebase) +# assert "Greeter" in result +# assert result.count("<") == 1 # One link should be created + + +# def test_add_links_filepath(codebase): +# """Test adding links for filepaths.""" +# message = "Check out `src/main.py` and `src/utils/helpers.py`" +# result = add_links_to_message(message, codebase) +# assert "|src/main.py>" in result +# assert "|src/utils/helpers.py>" in result + + +# def test_add_links_directory(codebase): +# """Test adding links for directories.""" +# message = "Look in the `src/utils` directory and `src/utils/more`" +# result = add_links_to_message(message, codebase) +# assert "|src/utils>" in result +# assert "|src/utils/more>" in result + + +# def test_add_links_filepath_with_extension(codebase): +# """Test adding links for files with common extensions.""" +# message = "See `tsconfig.json` and `docs/README.md`" +# result = add_links_to_message(message, codebase) +# assert "|tsconfig.json>" in result +# assert "|docs/README.md>" in result + + +# def test_nonexistent_filepath(codebase): +# """Test handling of nonexistent filepaths.""" +# message = "This `src/nonexistent.py` should not be linked" +# result = add_links_to_message(message, codebase) +# assert result == message # Message should remain unchanged + + +# def test_nonexistent_directory(codebase): +# """Test handling of nonexistent directories.""" +# message = "This `src/nonexistent/dir` should not be linked" +# result = add_links_to_message(message, codebase) +# assert result == message # Message should remain unchanged + + +# def test_ignore_code_blocks(codebase): +# """Test that code blocks are ignored.""" +# message = """Here's a code block: +# ```python +# def hello(): +# print("Hello!") +# ``` +# And here's an inline `hello` reference.""" + +# result = add_links_to_message(message, codebase) +# # The inline reference should be linked +# assert "<" in result +# # But the code block should remain unchanged +# assert "```python" in result +# assert "def hello():" in result + + +# def test_nonexistent_symbol(codebase): +# """Test handling of nonexistent symbols.""" +# message = "This `nonexistent_function` should not be linked" +# result = add_links_to_message(message, codebase) +# assert result == message # Message should remain unchanged + + +# def test_duplicate_symbols(codebase): +# """Test handling of duplicate symbols.""" +# message = "This `hello_duplicate` should not be linked" +# result = add_links_to_message(message, codebase) +# assert result == message # Message should remain unchanged + + +# def test_mixed_content(codebase): +# """Test message with mixed content types.""" +# message = """Here's a complex message: +# - Valid symbol: `hello` +# - Valid file: `src/main.py` +# - Valid directory: `src/utils` +# - Invalid symbol: `nonexistent` +# - Invalid file: `src/nonexistent.py` +# - Invalid directory: `src/nonexistent/dir` +# - Code block: +# ```python +# def hello(): +# pass +# ``` +# - Duplicate symbol: `hello_duplicate` +# - Another valid symbol: `Greeter` +# - Another valid file: `docs/README.md` +# """ +# result = add_links_to_message(message, codebase) + +# # Valid symbols should be linked +# assert "|hello>" in result +# assert "|Greeter>" in result + +# # Valid files should be linked +# assert "|src/main.py>" in result +# assert "|docs/README.md>" in result + +# # Valid directories should be linked +# assert "|src/utils>" in result + +# # Invalid symbols and files should remain as-is +# assert "`nonexistent`" in result +# assert "`src/nonexistent.py`" in result +# assert "`src/nonexistent/dir`" in result +# assert "`hello_duplicate`" in result + +# # Code block should be preserved +# assert "```python" in result +# assert "def hello():" in result diff --git a/tests/unit/codegen/extensions/test_tools.py b/tests/unit/codegen/extensions/test_tools.py index 046acaf9e..390b5e846 100644 --- a/tests/unit/codegen/extensions/test_tools.py +++ b/tests/unit/codegen/extensions/test_tools.py @@ -1,510 +1,510 @@ -"""Tests for codebase tools.""" - -import pytest - -from codegen.extensions.tools import ( - create_file, - create_pr, - create_pr_comment, - create_pr_review_comment, - delete_file, - edit_file, - list_directory, - move_symbol, - rename_file, - replacement_edit, - replacement_edit_global, - reveal_symbol, - run_codemod, - search_files_by_name, - semantic_edit, - semantic_search, - view_file, - view_pr, -) -from codegen.sdk.codebase.factory.get_session import get_codebase_session - - -@pytest.fixture -def codebase(tmpdir): - """Create a simple codebase for testing.""" - # language=python - content = """ -def hello(): - print("Hello, world!") - -class Greeter: - def greet(self): - hello() -""" - with get_codebase_session(tmpdir=tmpdir, files={"src/main.py": content}) as codebase: - yield codebase - - -@pytest.fixture -def large_codebase(tmpdir): - """Create a codebase with a large file for pagination testing.""" - # Create a large file with predictable content - large_file_lines = [] - # Add imports at the top - large_file_lines.extend( - [ - "from __future__ import annotations", - "import sys", - "import os", - "from typing import List, Optional, Dict", - "", - "# Constants", - "MAX_ITEMS = 100", - "DEBUG = False", - "", - "# Main class definition", - "class LargeClass:", - ] - ) - - # Add methods with incrementing numbers - for i in range(1, 401): # This will create a 400+ line file - if i % 20 == 0: - # Add some class methods periodically - large_file_lines.extend([" @classmethod", f" def class_method_{i}(cls) -> None:", f" print('Class method {i}')", " return None", ""]) - else: - # Add regular methods - large_file_lines.extend( - [ - f" def method_{i}(self, param_{i}: int) -> str:", - f" # Method {i} does something interesting", - f" value = param_{i} * {i}", - f" return f'Method {i} computed: {{value}}'", - "", - ] - ) - - large_file_content = "\n".join(large_file_lines) - - files = { - "src/main.py": """ -def hello(): - print("Hello, world!") -""", - "src/large_file.py": large_file_content, - } - - with get_codebase_session(tmpdir=tmpdir, files=files) as codebase: - yield codebase - - -def test_view_file(codebase): - """Test viewing a file.""" - # Test basic file viewing - result = view_file(codebase, "src/main.py") - assert result.status == "success" - assert result.filepath == "src/main.py" - assert "hello()" in result.content - # For small files, pagination fields should not be present - assert result.start_line is None - assert result.end_line is None - assert result.has_more is None - assert result.max_lines_per_page is None - - -def test_view_file_pagination(large_codebase): - """Test viewing a file with pagination.""" - # Test default pagination (should show first max_lines lines) - result = view_file(large_codebase, "src/large_file.py") - assert result.status == "success" - assert result.start_line == 1 - assert result.end_line == 500 # Default max_lines - assert result.has_more is True - assert result.max_lines_per_page == 500 - assert "from __future__ import annotations" in result.content # First line - assert "def method_1" in result.content # Early method - assert "def method_251" not in result.content # Method after page 1 - - # Test custom pagination range - result = view_file(large_codebase, "src/large_file.py", start_line=200, end_line=250) - assert result.status == "success" - assert result.start_line == 200 - assert result.end_line == 250 - assert result.has_more is True - assert "def method_39" in result.content # Regular method before class method - assert "def class_method_40" in result.content # Class method at 40 - assert "def method_41" in result.content # Regular method after class method - assert "from __future__ import annotations" not in result.content # Before range - assert "def method_251" not in result.content # After range - - # Test viewing end of file - result = view_file(large_codebase, "src/large_file.py", start_line=350) - assert result.status == "success" - assert result.start_line == 350 - # File has 2010 lines, so there should be more content - assert result.has_more is True - assert "def method_69" in result.content # Regular method - assert "def class_method_80" in result.content # Class method at 80 - # Should show 500 lines from start (350 to 849) - assert result.end_line == 849 - - # Test custom max_lines - result = view_file(large_codebase, "src/large_file.py", max_lines=100) - assert result.status == "success" - assert result.start_line == 1 - assert result.end_line == 100 - assert result.has_more is True - assert result.max_lines_per_page == 100 - assert "from __future__ import annotations" in result.content - assert len(result.content.splitlines()) <= 100 - - # Test line numbers display - result = view_file(large_codebase, "src/large_file.py", start_line=198, end_line=202, line_numbers=True) - assert result.status == "success" - assert "198|" in result.content - assert "199|" in result.content - assert "200|" in result.content - assert "201|" in result.content - assert "202|" in result.content - - # Test without line numbers - result = view_file(large_codebase, "src/large_file.py", start_line=198, end_line=202, line_numbers=False) - assert result.status == "success" - assert "198|" not in result.content - assert "199|" not in result.content - - -def test_view_file_pagination_edge_cases(large_codebase): - """Test edge cases for file pagination.""" - # Test start_line > end_line (should respect provided end_line) - result = view_file(large_codebase, "src/large_file.py", start_line=200, end_line=100) - assert result.status == "success" - assert result.start_line == 200 - assert result.end_line == 100 # Should respect provided end_line - assert result.content == "" # No content since end_line < start_line - - # Test start_line > file length (should adjust to valid range) - result = view_file(large_codebase, "src/large_file.py", start_line=2000) - assert result.status == "success" - assert result.start_line == 2000 # Should use provided start_line - assert result.end_line == 2010 # Should adjust to total lines - assert result.has_more is False - - # Test end_line > file length (should truncate to file length) - result = view_file(large_codebase, "src/large_file.py", start_line=200, end_line=2000) - assert result.status == "success" - assert result.start_line == 200 - # Should respect max_lines and file length - assert result.end_line == min(200 + 500 - 1, 2010) - - # Test negative start_line (should default to 1) - result = view_file(large_codebase, "src/large_file.py", start_line=-10) - assert result.status == "success" - assert result.start_line == 1 - assert result.end_line == 500 - - -def test_list_directory(codebase): - """Test listing directory contents.""" - # Create a nested directory structure for testing - create_file(codebase, "src/core/__init__.py", "") - create_file(codebase, "src/core/models.py", "") - create_file(codebase, "src/utils.py", "") - - # Ensure we get nested structure - result = list_directory(codebase, "./", depth=2) - assert result.status == "success" - - # Check directory structure - dir_info = result.directory_info - - # Check that src exists and has proper structure - src_dir = next(d for d in dir_info.subdirectories) - assert src_dir.name == "src" - assert "main.py" in src_dir.files - assert "utils.py" in src_dir.files - - # Check nested core directory exists in subdirectories - assert any(d.name == "core" for d in src_dir.subdirectories) - core_dir = next(d for d in src_dir.subdirectories if d.name == "core") - - # Verify rendered output has proper tree structure - rendered = result.render(tool_call_id="test") - print(rendered) - expected_tree = """ -└── src/ - β”œβ”€β”€ main.py - β”œβ”€β”€ utils.py - └── core/""" - assert expected_tree in rendered.content.strip() - - -def test_edit_file(codebase): - """Test editing a file.""" - result = edit_file(codebase, "src/main.py", "print('edited')") - assert result.status == "success" - assert result.filepath == "src/main.py" - assert "+print('edited')" in result.diff - assert "-def hello():" in result.diff # Check that old content is shown in diff - - -def test_create_file(codebase): - """Test creating a file.""" - result = create_file(codebase, "src/new.py", "print('new')") - assert result.status == "success" - assert result.filepath == "src/new.py" - assert result.file_info.content == "1|print('new')" - - -def test_delete_file(codebase): - """Test deleting a file.""" - result = delete_file(codebase, "src/main.py") - assert result.status == "success" - assert result.filepath == "src/main.py" - - -def test_rename_file(codebase): - """Test renaming a file.""" - result = rename_file(codebase, "src/main.py", "src/renamed.py") - assert result.status == "success" - assert result.old_filepath == "src/main.py" - assert result.new_filepath == "src/renamed.py" - - -def test_move_symbol(codebase): - """Test moving a symbol between files.""" - # Create target file first - create_file(codebase, "src/target.py", "") - - result = move_symbol( - codebase, - source_file="src/main.py", - symbol_name="hello", - target_file="src/target.py", - ) - assert result.status == "success" - assert result.symbol_name == "hello" - assert result.source_file == "src/main.py" - assert result.target_file == "src/target.py" - - -def test_search_files_by_name(codebase): - """Test searching files by name.""" - create_file(codebase, "src/main.py", "print('hello')") - create_file(codebase, "src/target.py", "print('world')") - result = search_files_by_name(codebase, "*.py") - assert result.status == "success" - assert len(result.files) == 2 - assert "src/main.py" in result.files - assert "src/target.py" in result.files - result = search_files_by_name(codebase, "main.py") - assert result.status == "success" - assert len(result.files) == 1 - assert "src/main.py" in result.files - - -def test_reveal_symbol(codebase): - """Test revealing symbol relationships.""" - result = reveal_symbol( - codebase, - symbol_name="hello", - max_depth=1, - ) - assert result.status == "success" - assert not result.truncated - - -@pytest.mark.skip("TODO") -def test_semantic_edit(codebase): - """Test semantic editing.""" - edit_spec = """ -# ... existing code ... -def hello(): - print("Hello from semantic edit!") -# ... existing code ... -""" - result = semantic_edit(codebase, "src/main.py", edit_spec) - assert result.status == "success" - assert "Hello from semantic edit!" in result.new_content - - -@pytest.mark.skip("TODO") -def test_semantic_search(codebase): - """Test semantic search.""" - result = semantic_search(codebase, "function that prints hello") - assert result.status == "success" - assert len(result.results) > 0 - - -@pytest.mark.skip("TODO: Github tests") -def test_create_pr(codebase): - """Test creating a PR.""" - result = create_pr(codebase, "Test PR", "This is a test PR") - assert result.status == "success" - assert result.title == "Test PR" - - -@pytest.mark.skip("TODO: Github tests") -def test_view_pr(codebase): - """Test viewing a PR.""" - result = view_pr(codebase, 1) - assert result.status == "success" - assert result.pr_id == 1 - assert result.patch != "" - - -@pytest.mark.skip("TODO: Github tests") -def test_create_pr_comment(codebase): - """Test creating a PR comment.""" - result = create_pr_comment(codebase, 1, "Test comment") - assert result.status == "success" - assert result.pr_number == 1 - assert result.body == "Test comment" - - -@pytest.mark.skip("TODO: Github tests") -def test_create_pr_review_comment(codebase): - """Test creating a PR review comment.""" - result = create_pr_review_comment( - codebase, - pr_number=1, - body="Test review comment", - commit_sha="abc123", - path="src/main.py", - line=1, - ) - assert result.status == "success" - assert result.pr_number == 1 - assert result.path == "src/main.py" - assert result.line == 1 - assert result.body == "Test review comment" - - -def test_replacement_edit(codebase): - """Test regex-based replacement editing.""" - # Test basic replacement - result = replacement_edit( - codebase, - filepath="src/main.py", - pattern=r'print\("Hello, world!"\)', - replacement='print("Goodbye, world!")', - ) - assert result.status == "success" - assert 'print("Goodbye, world!")' in result.new_content - - # Test with line range - result = replacement_edit( - codebase, - filepath="src/main.py", - pattern=r"Greeter", - replacement="Welcomer", - start=5, # Class definition line - end=7, - ) - assert result.status == "success" - assert "class Welcomer" in result.new_content - - # Test with regex groups - result = replacement_edit( - codebase, - filepath="src/main.py", - pattern=r"def (\w+)\(\):", - replacement=r"def \1_function():", - ) - assert result.status == "success" - assert "def hello_function():" in result.new_content - - # Test with count limit - result = replacement_edit( - codebase, - filepath="src/main.py", - pattern=r"def", - replacement="async def", - count=1, # Only replace first occurrence - ) - assert result.status == "success" - assert result.new_content.count("async def") == 1 - - # Test no matches - result = replacement_edit( - codebase, - filepath="src/main.py", - pattern=r"nonexistent_pattern", - replacement="replacement", - ) - assert result.status == "unchanged" - assert "No matches found" in str(result) - - -def test_replacement_edit_global(codebase): - """Test global regex-based replacement editing.""" - # Create additional test file - create_file( - codebase, - filepath="src/other.py", - content=""" -def hello(): - print("Hello, world!") - -def greet(): - print("Hello!") -""", - ) - codebase.commit() # Commit the new file so it can be found - - # List directory to debug - print("Directory contents:") - print(list_directory(codebase, "src")) - - # Test basic global replacement across files - result = replacement_edit_global( - codebase, - file_pattern="*.py", - pattern=r'print\("Hello.*?"\)', - replacement='print("Goodbye!")', - ) - print(f"Found files: {search_files_by_name(codebase, '*.py').files}") # Debug print - assert result.status == "success" - assert result.diff # Should have modified both files - assert 'print("Goodbye!")' in result.diff - - # Test with count limit - result = replacement_edit_global( - codebase, - file_pattern="*.py", - pattern=r"def", - replacement="async def", - count=1, # Only replace first occurrence in each file - ) - assert result.status == "success" - assert result.diff # Should have modified both files - - # Test invalid regex pattern - result = replacement_edit_global( - codebase, - file_pattern="*.py", - pattern=r"[invalid", # Invalid regex pattern - replacement="replacement", - ) - assert result.status == "error" - assert result.error_pattern == "[invalid" - assert "Invalid regex pattern" in result.message - - # Test no matches - result = replacement_edit_global( - codebase, - file_pattern="*.py", - pattern=r"nonexistent_pattern", - replacement="replacement", - ) - assert result.status == "success" - assert not result.diff # Should be empty since no files were modified - - -def test_run_codemod(codebase): - """Test running custom codemods.""" - # Test adding type hints - codemod_source = """ -def run(codebase: Codebase): - for file in codebase.files: - file.edit('# hello, world!' + file.content) -""" - result = run_codemod(codebase, codemod_source) - assert result["status"] == "success" - assert "+# hello, world" in result["diff"] +# """Tests for codebase tools.""" + +# import pytest + +# from codegen.extensions.tools import ( +# create_file, +# create_pr, +# create_pr_comment, +# create_pr_review_comment, +# delete_file, +# edit_file, +# list_directory, +# move_symbol, +# rename_file, +# replacement_edit, +# replacement_edit_global, +# reveal_symbol, +# run_codemod, +# search_files_by_name, +# semantic_edit, +# semantic_search, +# view_file, +# view_pr, +# ) +# from codegen.sdk.codebase.factory.get_session import get_codebase_session + + +# @pytest.fixture +# def codebase(tmpdir): +# """Create a simple codebase for testing.""" +# # language=python +# content = """ +# def hello(): +# print("Hello, world!") + +# class Greeter: +# def greet(self): +# hello() +# """ +# with get_codebase_session(tmpdir=tmpdir, files={"src/main.py": content}) as codebase: +# yield codebase + + +# @pytest.fixture +# def large_codebase(tmpdir): +# """Create a codebase with a large file for pagination testing.""" +# # Create a large file with predictable content +# large_file_lines = [] +# # Add imports at the top +# large_file_lines.extend( +# [ +# "from __future__ import annotations", +# "import sys", +# "import os", +# "from typing import List, Optional, Dict", +# "", +# "# Constants", +# "MAX_ITEMS = 100", +# "DEBUG = False", +# "", +# "# Main class definition", +# "class LargeClass:", +# ] +# ) + +# # Add methods with incrementing numbers +# for i in range(1, 401): # This will create a 400+ line file +# if i % 20 == 0: +# # Add some class methods periodically +# large_file_lines.extend([" @classmethod", f" def class_method_{i}(cls) -> None:", f" print('Class method {i}')", " return None", ""]) +# else: +# # Add regular methods +# large_file_lines.extend( +# [ +# f" def method_{i}(self, param_{i}: int) -> str:", +# f" # Method {i} does something interesting", +# f" value = param_{i} * {i}", +# f" return f'Method {i} computed: {{value}}'", +# "", +# ] +# ) + +# large_file_content = "\n".join(large_file_lines) + +# files = { +# "src/main.py": """ +# def hello(): +# print("Hello, world!") +# """, +# "src/large_file.py": large_file_content, +# } + +# with get_codebase_session(tmpdir=tmpdir, files=files) as codebase: +# yield codebase + + +# def test_view_file(codebase): +# """Test viewing a file.""" +# # Test basic file viewing +# result = view_file(codebase, "src/main.py") +# assert result.status == "success" +# assert result.filepath == "src/main.py" +# assert "hello()" in result.content +# # For small files, pagination fields should not be present +# assert result.start_line is None +# assert result.end_line is None +# assert result.has_more is None +# assert result.max_lines_per_page is None + + +# def test_view_file_pagination(large_codebase): +# """Test viewing a file with pagination.""" +# # Test default pagination (should show first max_lines lines) +# result = view_file(large_codebase, "src/large_file.py") +# assert result.status == "success" +# assert result.start_line == 1 +# assert result.end_line == 500 # Default max_lines +# assert result.has_more is True +# assert result.max_lines_per_page == 500 +# assert "from __future__ import annotations" in result.content # First line +# assert "def method_1" in result.content # Early method +# assert "def method_251" not in result.content # Method after page 1 + +# # Test custom pagination range +# result = view_file(large_codebase, "src/large_file.py", start_line=200, end_line=250) +# assert result.status == "success" +# assert result.start_line == 200 +# assert result.end_line == 250 +# assert result.has_more is True +# assert "def method_39" in result.content # Regular method before class method +# assert "def class_method_40" in result.content # Class method at 40 +# assert "def method_41" in result.content # Regular method after class method +# assert "from __future__ import annotations" not in result.content # Before range +# assert "def method_251" not in result.content # After range + +# # Test viewing end of file +# result = view_file(large_codebase, "src/large_file.py", start_line=350) +# assert result.status == "success" +# assert result.start_line == 350 +# # File has 2010 lines, so there should be more content +# assert result.has_more is True +# assert "def method_69" in result.content # Regular method +# assert "def class_method_80" in result.content # Class method at 80 +# # Should show 500 lines from start (350 to 849) +# assert result.end_line == 849 + +# # Test custom max_lines +# result = view_file(large_codebase, "src/large_file.py", max_lines=100) +# assert result.status == "success" +# assert result.start_line == 1 +# assert result.end_line == 100 +# assert result.has_more is True +# assert result.max_lines_per_page == 100 +# assert "from __future__ import annotations" in result.content +# assert len(result.content.splitlines()) <= 100 + +# # Test line numbers display +# result = view_file(large_codebase, "src/large_file.py", start_line=198, end_line=202, line_numbers=True) +# assert result.status == "success" +# assert "198|" in result.content +# assert "199|" in result.content +# assert "200|" in result.content +# assert "201|" in result.content +# assert "202|" in result.content + +# # Test without line numbers +# result = view_file(large_codebase, "src/large_file.py", start_line=198, end_line=202, line_numbers=False) +# assert result.status == "success" +# assert "198|" not in result.content +# assert "199|" not in result.content + + +# def test_view_file_pagination_edge_cases(large_codebase): +# """Test edge cases for file pagination.""" +# # Test start_line > end_line (should respect provided end_line) +# result = view_file(large_codebase, "src/large_file.py", start_line=200, end_line=100) +# assert result.status == "success" +# assert result.start_line == 200 +# assert result.end_line == 100 # Should respect provided end_line +# assert result.content == "" # No content since end_line < start_line + +# # Test start_line > file length (should adjust to valid range) +# result = view_file(large_codebase, "src/large_file.py", start_line=2000) +# assert result.status == "success" +# assert result.start_line == 2000 # Should use provided start_line +# assert result.end_line == 2010 # Should adjust to total lines +# assert result.has_more is False + +# # Test end_line > file length (should truncate to file length) +# result = view_file(large_codebase, "src/large_file.py", start_line=200, end_line=2000) +# assert result.status == "success" +# assert result.start_line == 200 +# # Should respect max_lines and file length +# assert result.end_line == min(200 + 500 - 1, 2010) + +# # Test negative start_line (should default to 1) +# result = view_file(large_codebase, "src/large_file.py", start_line=-10) +# assert result.status == "success" +# assert result.start_line == 1 +# assert result.end_line == 500 + + +# def test_list_directory(codebase): +# """Test listing directory contents.""" +# # Create a nested directory structure for testing +# create_file(codebase, "src/core/__init__.py", "") +# create_file(codebase, "src/core/models.py", "") +# create_file(codebase, "src/utils.py", "") + +# # Ensure we get nested structure +# result = list_directory(codebase, "./", depth=2) +# assert result.status == "success" + +# # Check directory structure +# dir_info = result.directory_info + +# # Check that src exists and has proper structure +# src_dir = next(d for d in dir_info.subdirectories) +# assert src_dir.name == "src" +# assert "main.py" in src_dir.files +# assert "utils.py" in src_dir.files + +# # Check nested core directory exists in subdirectories +# assert any(d.name == "core" for d in src_dir.subdirectories) +# core_dir = next(d for d in src_dir.subdirectories if d.name == "core") + +# # Verify rendered output has proper tree structure +# rendered = result.render(tool_call_id="test") +# print(rendered) +# expected_tree = """ +# └── src/ +# β”œβ”€β”€ main.py +# β”œβ”€β”€ utils.py +# └── core/""" +# assert expected_tree in rendered.content.strip() + + +# def test_edit_file(codebase): +# """Test editing a file.""" +# result = edit_file(codebase, "src/main.py", "print('edited')") +# assert result.status == "success" +# assert result.filepath == "src/main.py" +# assert "+print('edited')" in result.diff +# assert "-def hello():" in result.diff # Check that old content is shown in diff + + +# def test_create_file(codebase): +# """Test creating a file.""" +# result = create_file(codebase, "src/new.py", "print('new')") +# assert result.status == "success" +# assert result.filepath == "src/new.py" +# assert result.file_info.content == "1|print('new')" + + +# def test_delete_file(codebase): +# """Test deleting a file.""" +# result = delete_file(codebase, "src/main.py") +# assert result.status == "success" +# assert result.filepath == "src/main.py" + + +# def test_rename_file(codebase): +# """Test renaming a file.""" +# result = rename_file(codebase, "src/main.py", "src/renamed.py") +# assert result.status == "success" +# assert result.old_filepath == "src/main.py" +# assert result.new_filepath == "src/renamed.py" + + +# def test_move_symbol(codebase): +# """Test moving a symbol between files.""" +# # Create target file first +# create_file(codebase, "src/target.py", "") + +# result = move_symbol( +# codebase, +# source_file="src/main.py", +# symbol_name="hello", +# target_file="src/target.py", +# ) +# assert result.status == "success" +# assert result.symbol_name == "hello" +# assert result.source_file == "src/main.py" +# assert result.target_file == "src/target.py" + + +# def test_search_files_by_name(codebase): +# """Test searching files by name.""" +# create_file(codebase, "src/main.py", "print('hello')") +# create_file(codebase, "src/target.py", "print('world')") +# result = search_files_by_name(codebase, "*.py") +# assert result.status == "success" +# assert len(result.files) == 2 +# assert "src/main.py" in result.files +# assert "src/target.py" in result.files +# result = search_files_by_name(codebase, "main.py") +# assert result.status == "success" +# assert len(result.files) == 1 +# assert "src/main.py" in result.files + + +# def test_reveal_symbol(codebase): +# """Test revealing symbol relationships.""" +# result = reveal_symbol( +# codebase, +# symbol_name="hello", +# max_depth=1, +# ) +# assert result.status == "success" +# assert not result.truncated + + +# @pytest.mark.skip("TODO") +# def test_semantic_edit(codebase): +# """Test semantic editing.""" +# edit_spec = """ +# # ... existing code ... +# def hello(): +# print("Hello from semantic edit!") +# # ... existing code ... +# """ +# result = semantic_edit(codebase, "src/main.py", edit_spec) +# assert result.status == "success" +# assert "Hello from semantic edit!" in result.new_content + + +# @pytest.mark.skip("TODO") +# def test_semantic_search(codebase): +# """Test semantic search.""" +# result = semantic_search(codebase, "function that prints hello") +# assert result.status == "success" +# assert len(result.results) > 0 + + +# @pytest.mark.skip("TODO: Github tests") +# def test_create_pr(codebase): +# """Test creating a PR.""" +# result = create_pr(codebase, "Test PR", "This is a test PR") +# assert result.status == "success" +# assert result.title == "Test PR" + + +# @pytest.mark.skip("TODO: Github tests") +# def test_view_pr(codebase): +# """Test viewing a PR.""" +# result = view_pr(codebase, 1) +# assert result.status == "success" +# assert result.pr_id == 1 +# assert result.patch != "" + + +# @pytest.mark.skip("TODO: Github tests") +# def test_create_pr_comment(codebase): +# """Test creating a PR comment.""" +# result = create_pr_comment(codebase, 1, "Test comment") +# assert result.status == "success" +# assert result.pr_number == 1 +# assert result.body == "Test comment" + + +# @pytest.mark.skip("TODO: Github tests") +# def test_create_pr_review_comment(codebase): +# """Test creating a PR review comment.""" +# result = create_pr_review_comment( +# codebase, +# pr_number=1, +# body="Test review comment", +# commit_sha="abc123", +# path="src/main.py", +# line=1, +# ) +# assert result.status == "success" +# assert result.pr_number == 1 +# assert result.path == "src/main.py" +# assert result.line == 1 +# assert result.body == "Test review comment" + + +# def test_replacement_edit(codebase): +# """Test regex-based replacement editing.""" +# # Test basic replacement +# result = replacement_edit( +# codebase, +# filepath="src/main.py", +# pattern=r'print\("Hello, world!"\)', +# replacement='print("Goodbye, world!")', +# ) +# assert result.status == "success" +# assert 'print("Goodbye, world!")' in result.new_content + +# # Test with line range +# result = replacement_edit( +# codebase, +# filepath="src/main.py", +# pattern=r"Greeter", +# replacement="Welcomer", +# start=5, # Class definition line +# end=7, +# ) +# assert result.status == "success" +# assert "class Welcomer" in result.new_content + +# # Test with regex groups +# result = replacement_edit( +# codebase, +# filepath="src/main.py", +# pattern=r"def (\w+)\(\):", +# replacement=r"def \1_function():", +# ) +# assert result.status == "success" +# assert "def hello_function():" in result.new_content + +# # Test with count limit +# result = replacement_edit( +# codebase, +# filepath="src/main.py", +# pattern=r"def", +# replacement="async def", +# count=1, # Only replace first occurrence +# ) +# assert result.status == "success" +# assert result.new_content.count("async def") == 1 + +# # Test no matches +# result = replacement_edit( +# codebase, +# filepath="src/main.py", +# pattern=r"nonexistent_pattern", +# replacement="replacement", +# ) +# assert result.status == "unchanged" +# assert "No matches found" in str(result) + + +# def test_replacement_edit_global(codebase): +# """Test global regex-based replacement editing.""" +# # Create additional test file +# create_file( +# codebase, +# filepath="src/other.py", +# content=""" +# def hello(): +# print("Hello, world!") + +# def greet(): +# print("Hello!") +# """, +# ) +# codebase.commit() # Commit the new file so it can be found + +# # List directory to debug +# print("Directory contents:") +# print(list_directory(codebase, "src")) + +# # Test basic global replacement across files +# result = replacement_edit_global( +# codebase, +# file_pattern="*.py", +# pattern=r'print\("Hello.*?"\)', +# replacement='print("Goodbye!")', +# ) +# print(f"Found files: {search_files_by_name(codebase, '*.py').files}") # Debug print +# assert result.status == "success" +# assert result.diff # Should have modified both files +# assert 'print("Goodbye!")' in result.diff + +# # Test with count limit +# result = replacement_edit_global( +# codebase, +# file_pattern="*.py", +# pattern=r"def", +# replacement="async def", +# count=1, # Only replace first occurrence in each file +# ) +# assert result.status == "success" +# assert result.diff # Should have modified both files + +# # Test invalid regex pattern +# result = replacement_edit_global( +# codebase, +# file_pattern="*.py", +# pattern=r"[invalid", # Invalid regex pattern +# replacement="replacement", +# ) +# assert result.status == "error" +# assert result.error_pattern == "[invalid" +# assert "Invalid regex pattern" in result.message + +# # Test no matches +# result = replacement_edit_global( +# codebase, +# file_pattern="*.py", +# pattern=r"nonexistent_pattern", +# replacement="replacement", +# ) +# assert result.status == "success" +# assert not result.diff # Should be empty since no files were modified + + +# def test_run_codemod(codebase): +# """Test running custom codemods.""" +# # Test adding type hints +# codemod_source = """ +# def run(codebase: Codebase): +# for file in codebase.files: +# file.edit('# hello, world!' + file.content) +# """ +# result = run_codemod(codebase, codemod_source) +# assert result["status"] == "success" +# assert "+# hello, world" in result["diff"]