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* added tool for docling support * docling support installation * use file_paths instead of file_path * fix import * organized imports * run_type docs * needs to be list * fixed logic * logged but file_path is backwards compatible * use file_paths instead of file_path 2 * added test for multiple sources for file_paths * fix run-types * enabling local files to work and type cleanup * linted * fix test and types * fixed run types * fix types * renamed to CrewDoclingSource * linted * added docs * resolve conflicts --------- Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com> Co-authored-by: Brandon Hancock <brandon@brandonhancock.io>
35 lines
1.2 KiB
Python
35 lines
1.2 KiB
Python
from typing import List, Optional
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from pydantic import Field
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from crewai.knowledge.source.base_knowledge_source import BaseKnowledgeSource
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class StringKnowledgeSource(BaseKnowledgeSource):
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"""A knowledge source that stores and queries plain text content using embeddings."""
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content: str = Field(...)
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collection_name: Optional[str] = Field(default=None)
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def model_post_init(self, _):
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"""Post-initialization method to validate content."""
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self.validate_content()
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def validate_content(self):
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"""Validate string content."""
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if not isinstance(self.content, str):
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raise ValueError("StringKnowledgeSource only accepts string content")
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def add(self) -> None:
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"""Add string content to the knowledge source, chunk it, compute embeddings, and save them."""
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new_chunks = self._chunk_text(self.content)
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self.chunks.extend(new_chunks)
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self._save_documents()
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def _chunk_text(self, text: str) -> List[str]:
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"""Utility method to split text into chunks."""
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return [
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text[i : i + self.chunk_size]
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for i in range(0, len(text), self.chunk_size - self.chunk_overlap)
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]
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