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Update package references from codegen to graph-sitter (#90)
Co-authored-by: codegen-sh[bot] <131295404+codegen-sh[bot]@users.noreply.github.com> Co-authored-by: Jay Hack <[email protected]>
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.github/workflows/test.yml

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access-check:
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runs-on: ubuntu-latest
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steps:
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- uses: actions-cool/check-user-permission@v2
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- name: Check if bot account
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id: bot-check
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run: |
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actor="${{ github.triggering_actor }}"
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echo "Checking actor: $actor"
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if [[ "$actor" == *"[bot]" ]] || [[ "$actor" == "renovate" ]] || [[ "$actor" == "dependabot" ]]; then
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echo "is_bot=true" >> $GITHUB_OUTPUT
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echo "Detected bot account: $actor - skipping permission check"
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exit 0
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else
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echo "is_bot=false" >> $GITHUB_OUTPUT
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echo "Detected human account: $actor"
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fi
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- name: Check user permissions
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if: steps.bot-check.outputs.is_bot == 'false'
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uses: actions-cool/check-user-permission@v2
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with:
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require: write
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username: ${{ github.triggering_actor }}

README.md

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<div align="center">
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[![PyPI](https://img.shields.io/badge/PyPi-codegen-gray?style=flat-square&color=blue)](https://pypi.org/project/codegen/)
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[![PyPI](https://img.shields.io/badge/PyPi-graph--sitter-gray?style=flat-square&color=blue)](https://pypi.org/project/graph-sitter/)
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[![Documentation](https://img.shields.io/badge/Docs-graph-sitter.com-purple?style=flat-square)](https://graph-sitter.com)
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[![Slack Community](https://img.shields.io/badge/Slack-Join-4A154B?logo=slack&style=flat-square)](https://community.codegen.com)
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[![License](https://img.shields.io/badge/Code%20License-Apache%202.0-gray?&color=gray)](https://github.com/codegen-sh/graph-sitter/tree/develop?tab=Apache-2.0-1-ov-file)
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[Graph-sitter](https://graph-sitter.com) is a python library for manipulating codebases.
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```python
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from codegen import Codebase
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from graph_sitter import Codebase
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# Graph-sitter builds a complete graph connecting
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# functions, classes, imports and their relationships
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# Run the codemod
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gs run test-function
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# Create an isolated venv with codegen => open jupyter
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# Create an isolated venv with graph-sitter => open jupyter
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gs notebook
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```
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Having issues? Here are some common problems and their solutions:
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- **I'm hitting an UV error related to `[[ packages ]]`**: This means you're likely using an outdated version of UV. Try updating to the latest version with: `uv self update`.
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- **I'm hitting an error about `No module named 'codegen.sdk.extensions.utils'`**: The compiled cython extensions are out of sync. Update them with `uv sync --reinstall-package codegen`.
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- **I'm hitting an error about `No module named 'graph_sitter.sdk.extensions.utils'`**: The compiled cython extensions are out of sync. Update them with `uv sync --reinstall-package graph-sitter`.
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- **I'm hitting a `RecursionError: maximum recursion depth exceeded` error while parsing my codebase**: If you are using python 3.12, try upgrading to 3.13. If you are already on 3.13, try upping the recursion limit with `sys.setrecursionlimit(10000)`.
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If you run into additional issues not listed here, please [join our slack community](https://community.codegen.com) and we'll help you out!

architecture/3. imports-exports/A. Imports.md

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Import resolution follows AST construction in the code analysis pipeline. It identifies dependencies between modules and builds a graph of relationships across the codebase.
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> NOTE: This is an actively evolving part of Codegen SDK, so some details here may be imcomplete, outdated, or incorrect.
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> NOTE: This is an actively evolving part of Graph-sitter SDK, so some details here may be imcomplete, outdated, or incorrect.
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## Purpose
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architecture/architecture.md

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# Architecture of the Codegen SDK
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# Architecture of the Graph-sitter SDK
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This is a technical document explaining the architecture of the Codegen SDK.
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This is a technical document explaining the architecture of the Graph-sitter SDK.
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## Purpose of the SDK
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### Performance
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A key problem is performance. We must be able to quickly respond to user requests on enterprise codebases (IE: renaming a symbol). However, we don't know what those requests are in advance and the scope of these requests can be quite massive (They may choose to iterate over a large number of symbols and their usages). To respond to these problems, we introduced codegen cloud. We split operations into two parts:
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A key problem is performance. We must be able to quickly respond to user requests on enterprise codebases (IE: renaming a symbol). However, we don't know what those requests are in advance and the scope of these requests can be quite massive (They may choose to iterate over a large number of symbols and their usages). To respond to these problems, we introduced graph-sitter cloud. We split operations into two parts:
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- A "parse" step that builds up a graph of the codebase
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- This can take a long time to complete, but it only needs to be done once
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### Language Server Architecture
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The immediate question is: why not use a language server? They have a lot of the same goals as codegen, but do not address many of our goals:
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The immediate question is: why not use a language server? They have a lot of the same goals as graph-sitter, but do not address many of our goals:
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- Language servers can handle many of these same use cases, but they are not as performant as we need.
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- Generally, language servers compute their results lazily. This doesn't work for us because we need to perform a large number of operations on the codebase.
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- While the LSP protocol is powerful, it is not designed to be scriptable the way codegen is.
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- In Python, many of the language servers are an aglamation of many different tools and libraries. None are very good at refactoring or offer the comprehensive set of features that codegen does.
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- While the LSP protocol is powerful, it is not designed to be scriptable the way graph-sitter is.
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- In Python, many of the language servers are an aglamation of many different tools and libraries. None are very good at refactoring or offer the comprehensive set of features that graph-sitter does.
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Generally language servers parse codebases in response to user actions. This is not a good fit for us because we need to perform a large number of operations on the codebase without knowing which symbols are being changed or queried.
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## Architecture
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The codegen SDK combines aspects of both systems to accomplish our goals.
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The graph-sitter SDK combines aspects of both systems to accomplish our goals.
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At a high level our architecture is:
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1. We discover files to parse

architecture/external/dependency-manager.md

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# Dependency Manager
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> WARNING: Dependency manager is an experimental feature designed for Codegen Cloud! The current implementation WILL delete any existing `node_modules` folder!
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> WARNING: Dependency manager is an experimental feature designed for Graph-sitter Cloud! The current implementation WILL delete any existing `node_modules` folder!
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## Motivation
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examples/README.md

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[![Documentation](https://img.shields.io/badge/docs-graph-sitter.com-blue)](https://graph-sitter.com)
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This is a collection of examples using [Codegen](https://codegen.com). You can use these examples to learn how to use Codegen and build custom code transformations.
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This is a collection of examples using [Graph-sitter](https://graph-sitter.com). You can use these examples to learn how to use Graph-sitter and build custom code transformations.
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## Setup
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### IDE Configuration (Optional)
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To configure your IDE for optimal use with Codegen, follow our [IDE setup guide](https://graph-sitter.com/introduction/ide-usage#configuring-your-ide-interpreter).
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To configure your IDE for optimal use with Graph-sitter, follow our [IDE setup guide](https://graph-sitter.com/introduction/ide-usage#configuring-your-ide-interpreter).
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## Examples
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examples/STRUCTURE.md

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```python
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import graph_sitter
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from graph_sitter import Codebase
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from codegen.sdk.core import Function
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from graph_sitter.core import Function
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# ... other imports
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```
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1. Ensure the example runs with minimal setup
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1. Check that documentation is clear and accurate
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Remember: Your example might be used by both humans and AI to understand Codegen's capabilities. Clear structure and documentation help everyone use your code effectively.
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Remember: Your example might be used by both humans and AI to understand Graph-sitter's capabilities. Clear structure and documentation help everyone use your code effectively.

examples/examples/ai_impact_analysis/dashboard/README.md

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```bash
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uv venv
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source .venv/bin/activate
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uv pip install modal codegen fastapi
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uv pip install modal graph-sitter fastapi
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```
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2. Deploy or serve the Modal endpoint:

examples/examples/codegen-mcp-server/README.md

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</p>
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<h2 align="center">
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An MCP server implementation that integrates the codegen sdk.
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An MCP server implementation that integrates the graph-sitter sdk.
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</h2>
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</div>
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This example demonstrates how to run a Model Control Protocol (MCP) server that integrates with Codegen. The server provides:
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This example demonstrates how to run a Model Control Protocol (MCP) server that integrates with Graph-sitter. The server provides:
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1. A standardized interface for model inference
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1. Integration with Codegen's core functionality, parsing codebases and executing codemods
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1. Integration with Graph-sitter's core functionality, parsing codebases and executing codemods
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1. Support for various LLM providers through the MCP protocol
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## Quick Start
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- `parse_codebase`: Parses a codebase located at the provided path.
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- `check_parse_status`: Provides the current parsing status for the provided codebase.
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- `execute_codemod`: Executes a codemod script on a parsed codebase. This is where the codegen sdk leveraged to run simple or sophisticated codemods on the codebase.
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- `execute_codemod`: Executes a codemod script on a parsed codebase. This is where the graph-sitter sdk leveraged to run simple or sophisticated codemods on the codebase.

examples/examples/cyclomatic_complexity/README.md

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# Cyclomatic Complexity Analyzer
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This example demonstrates how to analyze the cyclomatic complexity of Python codebases using Codegen. The script provides detailed insights into code complexity by analyzing control flow structures and providing a comprehensive report.
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This example demonstrates how to analyze the cyclomatic complexity of Python codebases using Graph-sitter. The script provides detailed insights into code complexity by analyzing control flow structures and providing a comprehensive report.
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> [!NOTE]
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> The cyclomatic complexity metric helps identify complex code that might need refactoring. A higher score indicates more complex code with multiple decision points.
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- Loads any Python codebase into Codegen's analysis engine
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- Loads any Python codebase into Graph-sitter's analysis engine
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- Works with local or remote Git repositories
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- Supports analyzing specific commits
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