Spaces:
Running
Running
Rename repo2vec to CodeSage (#34)
Browse files* mv repo2vec codesage
* s/repo2vec/codesage
* s/r2v/cs
* Update installation instructions (no pypi for now because of rapid development)
* Add badges
- .gitignore +1 -1
- MANIFEST.in +1 -1
- README.md +42 -17
- {repo2vec β codesage}/.sample-env +0 -0
- {repo2vec β codesage}/__init__.py +0 -0
- {repo2vec β codesage}/chat.py +2 -2
- {repo2vec β codesage}/chunker.py +0 -0
- {repo2vec β codesage}/data_manager.py +1 -1
- {repo2vec β codesage}/embedder.py +2 -2
- {repo2vec β codesage}/github.py +2 -2
- {repo2vec β codesage}/index.py +5 -5
- {repo2vec β codesage}/llm.py +0 -0
- {repo2vec β codesage}/sample-exclude.txt +0 -0
- {repo2vec β codesage}/vector_store.py +0 -0
- setup.py +6 -6
- tests/conftest.py +1 -1
- tests/test_chunker.py +8 -8
.gitignore
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*.cpython.*
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build/
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repos/
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-
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*.cpython.*
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build/
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repos/
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codesage.egg-info/
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MANIFEST.in
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include
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include codesage/sample-exclude.txt
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README.md
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<div align="center">
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<h1 align="center">
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<p align="center">An open-source pair programmer for chatting with any codebase.</p>
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<figure>
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<img src="assets/chat_screenshot2.png" alt="screenshot" style="max-height: 500px; border: 1px solid black;">
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</figure>
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</div>
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# Getting started
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## Installation
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-
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-
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## Prerequisites
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`
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1. Indexes your codebase (requiring an embdder and a vector store)
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2. Enables chatting via LLM + RAG (requiring access to an LLM)
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2. Index the repository. This might take a few minutes, depending on its size.
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```
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```
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3. Chat with the repository, once it's indexed:
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```
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```
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To get a public URL for your chat app, set `--share=true`.
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2. Index the repository. This might take a few minutes, depending on its size.
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```
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-
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--embedder-type=openai \
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--vector-store=pinecone \
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--index-name=$PINECONE_INDEX_NAME
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3. Chat with the repository, once it's indexed:
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```
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--vector-store-type=pinecone \
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--index-name=$PINECONE_INDEX_NAME \
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--llm-provider=openai \
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To specify an inclusion file (i.e. only index the specified files):
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```
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-
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```
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To specify an exclusion file (i.e. index all files, except for the ones specified):
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```
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-
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```
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By default, we use the exclusion file [sample-exclude.txt](
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</details>
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<details>
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To index GitHub issues without comments:
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```
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-
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```
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To index GitHub issues with comments:
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```
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-
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```
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To index GitHub issues, but not the codebase:
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```
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-
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```
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</details>
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Sometimes you just want to learn how a codebase works and how to integrate it, without spending hours sifting through
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the code itself.
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`
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Features:
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# Changelog
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- 2024-09-
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- 2024-09-03: `repo2vec` is now available on pypi.
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- 2024-09-03: Support for indexing GitHub issues.
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- 2024-08-30: Support for running everything locally (Marqo for embeddings, Ollama for LLMs).
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<div align="center">
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<h1 align="center">Code Sage</h1>
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<p align="center">An open-source pair programmer for chatting with any codebase.</p>
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<figure>
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<img src="assets/chat_screenshot2.png" alt="screenshot" style="max-height: 500px; border: 1px solid black;">
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</figure>
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</div>
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<div align="center">
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</br>
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<img alt="GitHub Repo stars" src="https://img.shields.io/github/stars/Storia-AI/CodeSage?logo=github" />
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<img alt="GitHub License" src="https://img.shields.io/github/license/Storia-AI/CodeSage"></img>
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<img alt="X (formerly Twitter) Follow" src="https://img.shields.io/twitter/follow/StoriaAI"></img>
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</br>
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</div>
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# Getting started
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## Installation
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<details open>
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<summary><strong>Using pipx (recommended) </strong></summary>
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Make sure pipx is installed on your system (see <a href="https://pipx.pypa.io/stable/installation/">instructions</a>), then run:
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```
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pipx install git+https://github.com/Storia-AI/CodeSage.git@main
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```
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</details>
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<details>
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<summary><strong>Using venv and pip</strong></summary>
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Alternatively, you can manually create a virtual environment and install Code Sage via pip:
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```
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python -m venv codesage-venv
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source codesage-venv/bin/activate
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pip install git+https://github.com/Storia-AI/CodeSage.git@main
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```
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</details>
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## Prerequisites
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`codesage` performs two steps:
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1. Indexes your codebase (requiring an embdder and a vector store)
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2. Enables chatting via LLM + RAG (requiring access to an LLM)
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2. Index the repository. This might take a few minutes, depending on its size.
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```
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cs-index $GITHUB_REPO
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```
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3. Chat with the repository, once it's indexed:
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```
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cs-chat $GITHUB_REPO
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```
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To get a public URL for your chat app, set `--share=true`.
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2. Index the repository. This might take a few minutes, depending on its size.
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```
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+
cs-index $GITHUB_REPO \
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--embedder-type=openai \
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--vector-store=pinecone \
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--index-name=$PINECONE_INDEX_NAME
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3. Chat with the repository, once it's indexed:
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```
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cs-chat $GITHUB_REPO \
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--vector-store-type=pinecone \
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--index-name=$PINECONE_INDEX_NAME \
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--llm-provider=openai \
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To specify an inclusion file (i.e. only index the specified files):
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```
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cs-index $GITHUB_REPO --include=/path/to/inclusion/file
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```
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To specify an exclusion file (i.e. index all files, except for the ones specified):
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```
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cs-index $GITHUB_REPO --exclude=/path/to/exclusion/file
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```
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+
By default, we use the exclusion file [sample-exclude.txt](codesage/sample-exclude.txt).
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</details>
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<details>
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To index GitHub issues without comments:
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```
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+
cs-index $GITHUB_REPO --index-issues
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```
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To index GitHub issues with comments:
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```
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cs-index $GITHUB_REPO --index-issues --index-issue-comments
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```
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To index GitHub issues, but not the codebase:
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```
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cs-index $GITHUB_REPO --index-issues --no-index-repo
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```
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</details>
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Sometimes you just want to learn how a codebase works and how to integrate it, without spending hours sifting through
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the code itself.
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`codesage` is like an open-source GitHub Copilot with the most up-to-date information about your repo.
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Features:
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# Changelog
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+
- 2024-09-16: Renamed `repo2vec` to `codesage`.
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- 2024-09-03: Support for indexing GitHub issues.
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- 2024-08-30: Support for running everything locally (Marqo for embeddings, Ollama for LLMs).
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{repo2vec β codesage}/.sample-env
RENAMED
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File without changes
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{repo2vec β codesage}/__init__.py
RENAMED
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File without changes
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{repo2vec β codesage}/chat.py
RENAMED
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@@ -12,8 +12,8 @@ from langchain.chains.combine_documents import create_stuff_documents_chain
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from langchain.schema import AIMessage, HumanMessage
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from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
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import
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from
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load_dotenv()
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from langchain.schema import AIMessage, HumanMessage
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from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
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import codesage.vector_store as vector_store
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from codesage.llm import build_llm_via_langchain
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load_dotenv()
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{repo2vec β codesage}/chunker.py
RENAMED
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{repo2vec β codesage}/data_manager.py
RENAMED
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):
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"""
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Args:
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repo_id: The identifier of the repository in owner/repo format, e.g. "Storia-AI/
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local_dir: The local directory where the repository will be cloned.
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inclusion_file: A file with a lists of files/directories/extensions to include. Each line must be in one of
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the following formats: "ext:.my-extension", "file:my-file.py", or "dir:my-directory".
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):
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"""
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Args:
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repo_id: The identifier of the repository in owner/repo format, e.g. "Storia-AI/codesage".
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local_dir: The local directory where the repository will be cloned.
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inclusion_file: A file with a lists of files/directories/extensions to include. Each line must be in one of
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the following formats: "ext:.my-extension", "file:my-file.py", or "dir:my-directory".
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{repo2vec β codesage}/embedder.py
RENAMED
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import marqo
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from openai import OpenAI
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from
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from
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Vector = Tuple[Dict, List[float]] # (metadata, embedding)
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import marqo
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from openai import OpenAI
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from codesage.chunker import Chunk, Chunker
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from codesage.data_manager import DataManager
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Vector = Tuple[Dict, List[float]] # (metadata, embedding)
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{repo2vec β codesage}/github.py
RENAMED
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import requests
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import tiktoken
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from
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from
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tokenizer = tiktoken.get_encoding("cl100k_base")
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import requests
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import tiktoken
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from codesage.chunker import Chunk, Chunker
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from codesage.data_manager import DataManager
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tokenizer = tiktoken.get_encoding("cl100k_base")
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{repo2vec β codesage}/index.py
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import pkg_resources
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from
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from
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from
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from
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from
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger()
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import pkg_resources
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from codesage.chunker import UniversalFileChunker
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from codesage.data_manager import GitHubRepoManager
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from codesage.embedder import build_batch_embedder_from_flags
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from codesage.github import GitHubIssuesChunker, GitHubIssuesManager
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from codesage.vector_store import build_from_args
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger()
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{repo2vec β codesage}/llm.py
RENAMED
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{repo2vec β codesage}/sample-exclude.txt
RENAMED
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File without changes
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{repo2vec β codesage}/vector_store.py
RENAMED
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setup.py
CHANGED
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setup(
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name="
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version="0.1.
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packages=find_packages(),
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include_package_data=True,
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package_data={
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-
"
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},
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install_requires=open("requirements.txt").readlines() + ["setuptools"],
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entry_points={
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"console_scripts": [
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-
"
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"
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],
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},
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author="Julia Turc & Mihail Eric / Storia AI",
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description="A library to index a code repository and chat with it via LLMs.",
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long_description=open("README.md").read(),
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long_description_content_type="text/markdown",
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url="https://github.com/Storia-AI/
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classifiers=[
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: MIT License",
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setup(
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name="codesage",
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version="0.1.0",
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packages=find_packages(),
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include_package_data=True,
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package_data={
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"codesage": ["sample-exclude.txt"],
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},
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install_requires=open("requirements.txt").readlines() + ["setuptools"],
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entry_points={
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"console_scripts": [
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"cs-index=codesage.index:main",
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"cs-chat=codesage.chat:main",
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],
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},
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author="Julia Turc & Mihail Eric / Storia AI",
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description="A library to index a code repository and chat with it via LLMs.",
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long_description=open("README.md").read(),
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long_description_content_type="text/markdown",
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url="https://github.com/Storia-AI/codesage",
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classifiers=[
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: MIT License",
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tests/conftest.py
CHANGED
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import os
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import sys
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sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../
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import os
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import sys
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sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../codesage")))
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tests/test_chunker.py
CHANGED
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from pytest import mark, param
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import
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def test_text_chunker_happy_path():
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"""Tests the happy path for the TextFileChunker."""
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-
chunker =
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file_path = os.path.join(os.path.dirname(__file__), "../README.md")
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with open(file_path, "r") as file:
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def test_code_chunker_happy_path():
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"""Tests the happy path for the CodeFileChunker."""
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-
chunker =
|
| 33 |
|
| 34 |
-
file_path = os.path.join(os.path.dirname(__file__), "../
|
| 35 |
with open(file_path, "r") as file:
|
| 36 |
content = file.read()
|
| 37 |
metadata = {"file_path": file_path}
|
|
@@ -48,22 +48,22 @@ def test_code_chunker_typescript(filename):
|
|
| 48 |
content = file.read()
|
| 49 |
metadata = {"file_path": file_path}
|
| 50 |
|
| 51 |
-
chunker =
|
| 52 |
chunks = chunker.chunk(content, metadata)
|
| 53 |
# There's a bug in the tree-sitter-language-pack library for TypeScript. Before it gets fixed, we expect this to
|
| 54 |
# return an empty list (instead of crashing).
|
| 55 |
assert len(chunks) == 0
|
| 56 |
|
| 57 |
# However, the UniversalFileChunker should fallback onto a regular text chunker, and return some chunks.
|
| 58 |
-
chunker =
|
| 59 |
chunks = chunker.chunk(content, metadata)
|
| 60 |
assert len(chunks) >= 1
|
| 61 |
|
| 62 |
|
| 63 |
def test_ipynb_chunker_happy_path():
|
| 64 |
"""Tests the happy path for the IPynbChunker."""
|
| 65 |
-
code_chunker =
|
| 66 |
-
chunker =
|
| 67 |
|
| 68 |
file_path = os.path.join(os.path.dirname(__file__), "assets/sample-notebook.ipynb")
|
| 69 |
with open(file_path, "r") as file:
|
|
|
|
| 11 |
|
| 12 |
from pytest import mark, param
|
| 13 |
|
| 14 |
+
import codesage.chunker
|
| 15 |
|
| 16 |
|
| 17 |
def test_text_chunker_happy_path():
|
| 18 |
"""Tests the happy path for the TextFileChunker."""
|
| 19 |
+
chunker = codesage.chunker.TextFileChunker(max_tokens=100)
|
| 20 |
|
| 21 |
file_path = os.path.join(os.path.dirname(__file__), "../README.md")
|
| 22 |
with open(file_path, "r") as file:
|
|
|
|
| 29 |
|
| 30 |
def test_code_chunker_happy_path():
|
| 31 |
"""Tests the happy path for the CodeFileChunker."""
|
| 32 |
+
chunker = codesage.chunker.CodeFileChunker(max_tokens=100)
|
| 33 |
|
| 34 |
+
file_path = os.path.join(os.path.dirname(__file__), "../codesage/chunker.py")
|
| 35 |
with open(file_path, "r") as file:
|
| 36 |
content = file.read()
|
| 37 |
metadata = {"file_path": file_path}
|
|
|
|
| 48 |
content = file.read()
|
| 49 |
metadata = {"file_path": file_path}
|
| 50 |
|
| 51 |
+
chunker = codesage.chunker.CodeFileChunker(max_tokens=100)
|
| 52 |
chunks = chunker.chunk(content, metadata)
|
| 53 |
# There's a bug in the tree-sitter-language-pack library for TypeScript. Before it gets fixed, we expect this to
|
| 54 |
# return an empty list (instead of crashing).
|
| 55 |
assert len(chunks) == 0
|
| 56 |
|
| 57 |
# However, the UniversalFileChunker should fallback onto a regular text chunker, and return some chunks.
|
| 58 |
+
chunker = codesage.chunker.UniversalFileChunker(max_tokens=100)
|
| 59 |
chunks = chunker.chunk(content, metadata)
|
| 60 |
assert len(chunks) >= 1
|
| 61 |
|
| 62 |
|
| 63 |
def test_ipynb_chunker_happy_path():
|
| 64 |
"""Tests the happy path for the IPynbChunker."""
|
| 65 |
+
code_chunker = codesage.chunker.CodeFileChunker(max_tokens=100)
|
| 66 |
+
chunker = codesage.chunker.IpynbFileChunker(code_chunker)
|
| 67 |
|
| 68 |
file_path = os.path.join(os.path.dirname(__file__), "assets/sample-notebook.ipynb")
|
| 69 |
with open(file_path, "r") as file:
|