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https://github.com/crewAIInc/crewAI.git
synced 2026-01-10 00:28:31 +00:00
refactor: Change storage field to optional and improve error handling when saving documents
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@@ -14,13 +14,13 @@ class Knowledge(BaseModel):
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Knowledge is a collection of sources and setup for the vector store to save and query relevant context.
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Knowledge is a collection of sources and setup for the vector store to save and query relevant context.
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Args:
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Args:
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sources: List[BaseKnowledgeSource] = Field(default_factory=list)
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sources: List[BaseKnowledgeSource] = Field(default_factory=list)
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storage: KnowledgeStorage = Field(default_factory=KnowledgeStorage)
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storage: Optional[KnowledgeStorage] = Field(default=None)
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embedder_config: Optional[Dict[str, Any]] = None
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embedder_config: Optional[Dict[str, Any]] = None
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"""
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"""
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sources: List[BaseKnowledgeSource] = Field(default_factory=list)
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sources: List[BaseKnowledgeSource] = Field(default_factory=list)
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model_config = ConfigDict(arbitrary_types_allowed=True)
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model_config = ConfigDict(arbitrary_types_allowed=True)
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storage: KnowledgeStorage = Field(default=None)
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storage: Optional[KnowledgeStorage] = Field(default=None)
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embedder_config: Optional[Dict[str, Any]] = None
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embedder_config: Optional[Dict[str, Any]] = None
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collection_name: Optional[str] = None
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collection_name: Optional[str] = None
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@@ -22,7 +22,7 @@ class BaseFileKnowledgeSource(BaseKnowledgeSource, ABC):
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default_factory=list, description="The path to the file"
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default_factory=list, description="The path to the file"
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)
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)
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content: Dict[Path, str] = Field(init=False, default_factory=dict)
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content: Dict[Path, str] = Field(init=False, default_factory=dict)
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storage: KnowledgeStorage = Field(default=None)
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storage: Optional[KnowledgeStorage] = Field(default=None)
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safe_file_paths: List[Path] = Field(default_factory=list)
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safe_file_paths: List[Path] = Field(default_factory=list)
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@field_validator("file_path", "file_paths", mode="before")
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@field_validator("file_path", "file_paths", mode="before")
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@@ -62,7 +62,10 @@ class BaseFileKnowledgeSource(BaseKnowledgeSource, ABC):
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def _save_documents(self):
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def _save_documents(self):
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"""Save the documents to the storage."""
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"""Save the documents to the storage."""
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self.storage.save(self.chunks)
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if self.storage:
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self.storage.save(self.chunks)
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else:
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raise ValueError("No storage found to save documents.")
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def convert_to_path(self, path: Union[Path, str]) -> Path:
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def convert_to_path(self, path: Union[Path, str]) -> Path:
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"""Convert a path to a Path object."""
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"""Convert a path to a Path object."""
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@@ -16,7 +16,7 @@ class BaseKnowledgeSource(BaseModel, ABC):
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chunk_embeddings: List[np.ndarray] = Field(default_factory=list)
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chunk_embeddings: List[np.ndarray] = Field(default_factory=list)
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model_config = ConfigDict(arbitrary_types_allowed=True)
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model_config = ConfigDict(arbitrary_types_allowed=True)
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storage: KnowledgeStorage = Field(default=None)
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storage: Optional[KnowledgeStorage] = Field(default=None)
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metadata: Dict[str, Any] = Field(default_factory=dict) # Currently unused
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metadata: Dict[str, Any] = Field(default_factory=dict) # Currently unused
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collection_name: Optional[str] = Field(default=None)
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collection_name: Optional[str] = Field(default=None)
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@@ -46,4 +46,7 @@ class BaseKnowledgeSource(BaseModel, ABC):
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Save the documents to the storage.
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Save the documents to the storage.
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This method should be called after the chunks and embeddings are generated.
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This method should be called after the chunks and embeddings are generated.
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"""
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"""
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self.storage.save(self.chunks)
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if self.storage:
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self.storage.save(self.chunks)
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else:
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raise ValueError("No storage found to save documents.")
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