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76 lines
1.9 KiB
Python
76 lines
1.9 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# Copyright (c) 2025 Allaun
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"""Machine Learning Tool for NoDupeLabs.
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Provides ML capabilities as a tool.
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"""
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from typing import List, Dict, Any, Optional, Callable
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from nodupe.core.tool_system.base import Tool
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from . import get_ml_backend
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class MLTool(Tool):
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"""Machine learning capabilities tool."""
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@property
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def name(self) -> str:
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"""Get tool name.
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Returns:
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Tool name identifier
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"""
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return "ml_tool"
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@property
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def version(self) -> str:
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"""Get tool version.
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Returns:
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Version string in semver format
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"""
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return "1.0.0"
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@property
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def dependencies(self) -> List[str]:
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"""Get tool dependencies.
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Returns:
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List of dependency names
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"""
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return []
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@property
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def api_methods(self) -> Dict[str, Callable[..., Any]]:
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"""Get API methods exposed by this tool.
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Returns:
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Dictionary mapping method names to callable functions
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"""
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return {
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'generate_embeddings': self.backend.generate_embeddings,
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'get_dimensions': self.backend.get_embedding_dimensions,
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'is_available': self.backend.is_available
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}
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def __init__(self):
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"""Initialize the tool."""
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self.backend = get_ml_backend()
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def initialize(self, container: Any) -> None:
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"""Initialize the tool and register services."""
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container.register_service('ml_backend', self.backend)
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def shutdown(self) -> None:
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"""Shutdown the tool."""
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def get_capabilities(self) -> Dict[str, Any]:
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"""Get tool capabilities."""
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return {
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'dimensions': self.backend.get_embedding_dimensions(),
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'available': self.backend.is_available()
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}
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def register_tool():
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"""Register the ML tool."""
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return MLTool()
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