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feat: +similarity_search
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4 changed files with 26 additions and 5 deletions
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@ -41,7 +41,7 @@ class Architect(RoleZero):
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instruction: str = ARCHITECT_INSTRUCTION
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max_react_loop: int = 1 # FIXME: Read and edit files requires more steps, consider later
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tools: list[str] = [
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"Editor:write,read,write_content",
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"Editor:write,read,write_content,similarity_search",
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"RoleZero",
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"WriteDesign",
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]
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@ -31,7 +31,7 @@ class ProjectManager(RoleZero):
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instruction: str = """Use WriteTasks tool to write a project task list"""
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max_react_loop: int = 1 # FIXME: Read and edit files requires more steps, consider later
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tools: list[str] = ["Editor:write,read,write_content", "RoleZero", "WriteTasks"]
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tools: list[str] = ["Editor:write,read,write_content,similarity_search", "RoleZero", "WriteTasks"]
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def __init__(self, **kwargs) -> None:
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super().__init__(**kwargs)
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@ -937,15 +937,16 @@ class Editor(BaseModel):
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@staticmethod
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async def similarity_search(query: str, file_or_path: Union[str, Path]) -> List[str]:
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"""Performs a similarity search for a given query across specified files or paths.
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"""Given a filename or a pathname, performs a similarity search for a given query across the specified file or path.
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This method searches the index repository for the provided query, classifying the specified
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files or paths. It performs a search on each cluster of files and handles non-indexed files
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separately, merging results from structured indices with any direct results from non-indexed files.
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This function call does not depend on other functions.
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Args:
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query (str): The search query string to look for in the indexed files.
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file_or_path (Union[str, Path]): A path or filename to search within.
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file_or_path (Union[str, Path]): A pathname or filename to search within.
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Returns:
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List[str]: A list of results as strings, containing the text from the merged results
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@ -953,7 +954,7 @@ class Editor(BaseModel):
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Example:
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>>> query = "The problem to be analyzed from the document"
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>>> file_or_path = "The document or folder you want to query"
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>>> file_or_path = "The pathname or filename you want to search within"
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>>> texts: List[str] = await Editor.similarity_search(query=query, file_or_path=file_or_path)
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>>> print(texts)
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"""
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