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Create code_indexer.py
Browse files- memory/code_indexer.py +34 -0
memory/code_indexer.py
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import os
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from langchain.docstore.document import Document
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from memory.vector_store import create_vector_store
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SUPPORTED_EXTENSIONS = [".py", ".js", ".ts", ".java", ".cpp"]
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def load_code_files(repo_path):
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documents = []
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for root, _, files in os.walk(repo_path):
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for file in files:
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if any(file.endswith(ext) for ext in SUPPORTED_EXTENSIONS):
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path = os.path.join(root, file)
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with open(path, "r", encoding="utf-8") as f:
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content = f.read()
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documents.append(
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Document(
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page_content=content,
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metadata={"source": path},
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)
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)
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return documents
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def index_codebase(repo_path):
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docs = load_code_files(repo_path)
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return create_vector_store(docs)
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