mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-10 08:38:30 +00:00
committed by
Devin AI
parent
367d4ddf90
commit
fbf993979d
@@ -93,6 +93,12 @@ result = crew.kickoff(inputs={"question": "What city does John live in and how o
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Here's another example with the `CrewDoclingSource`. The CrewDoclingSource is actually quite versatile and can handle multiple file formats including TXT, PDF, DOCX, HTML, and more.
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<Note>
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You need to install `docling` for the following example to work: `uv add docling`
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</Note>
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```python Code
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from crewai import LLM, Agent, Crew, Process, Task
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from crewai.knowledge.source.crew_docling_source import CrewDoclingSource
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@@ -8,6 +8,7 @@ try:
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from docling.exceptions import ConversionError
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from docling_core.transforms.chunker.hierarchical_chunker import HierarchicalChunker
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from docling_core.types.doc.document import DoclingDocument
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DOCLING_AVAILABLE = True
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except ImportError:
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DOCLING_AVAILABLE = False
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@@ -38,8 +39,8 @@ class CrewDoclingSource(BaseKnowledgeSource):
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file_paths: List[Union[Path, str]] = Field(default_factory=list)
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chunks: List[str] = Field(default_factory=list)
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safe_file_paths: List[Union[Path, str]] = Field(default_factory=list)
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content: List[DoclingDocument] = Field(default_factory=list)
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document_converter: DocumentConverter = Field(
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content: List["DoclingDocument"] = Field(default_factory=list)
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document_converter: "DocumentConverter" = Field(
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default_factory=lambda: DocumentConverter(
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allowed_formats=[
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InputFormat.MD,
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@@ -65,7 +66,7 @@ class CrewDoclingSource(BaseKnowledgeSource):
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self.safe_file_paths = self.validate_content()
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self.content = self._load_content()
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def _load_content(self) -> List[DoclingDocument]:
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def _load_content(self) -> List["DoclingDocument"]:
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try:
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return self._convert_source_to_docling_documents()
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except ConversionError as e:
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@@ -87,11 +88,11 @@ class CrewDoclingSource(BaseKnowledgeSource):
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self.chunks.extend(list(new_chunks_iterable))
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self._save_documents()
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def _convert_source_to_docling_documents(self) -> List[DoclingDocument]:
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def _convert_source_to_docling_documents(self) -> List["DoclingDocument"]:
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conv_results_iter = self.document_converter.convert_all(self.safe_file_paths)
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return [result.document for result in conv_results_iter]
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def _chunk_doc(self, doc: DoclingDocument) -> Iterator[str]:
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def _chunk_doc(self, doc: "DoclingDocument") -> Iterator[str]:
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chunker = HierarchicalChunker()
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for chunk in chunker.chunk(doc):
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yield chunk.text
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