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6 changed files with 12 additions and 26 deletions

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@@ -30,7 +30,6 @@ dependencies = [
"pdfplumber>=0.11.4",
"openpyxl>=3.1.5",
"blinker>=1.9.0",
"typing-extensions>=4.5.0",
]
[project.urls]

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@@ -14,13 +14,13 @@ class Knowledge(BaseModel):
Knowledge is a collection of sources and setup for the vector store to save and query relevant context.
Args:
sources: List[BaseKnowledgeSource] = Field(default_factory=list)
storage: KnowledgeStorage = Field(default_factory=KnowledgeStorage)
storage: Optional[KnowledgeStorage] = Field(default=None)
embedder_config: Optional[Dict[str, Any]] = None
"""
sources: List[BaseKnowledgeSource] = Field(default_factory=list)
model_config = ConfigDict(arbitrary_types_allowed=True)
storage: KnowledgeStorage = Field(default_factory=KnowledgeStorage)
storage: Optional[KnowledgeStorage] = Field(default=None)
embedder_config: Optional[Dict[str, Any]] = None
collection_name: Optional[str] = None

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@@ -22,7 +22,7 @@ class BaseFileKnowledgeSource(BaseKnowledgeSource, ABC):
default_factory=list, description="The path to the file"
)
content: Dict[Path, str] = Field(init=False, default_factory=dict)
storage: KnowledgeStorage = Field(default_factory=KnowledgeStorage)
storage: Optional[KnowledgeStorage] = Field(default=None)
safe_file_paths: List[Path] = Field(default_factory=list)
@field_validator("file_path", "file_paths", mode="before")
@@ -62,7 +62,10 @@ class BaseFileKnowledgeSource(BaseKnowledgeSource, ABC):
def _save_documents(self):
"""Save the documents to the storage."""
self.storage.save(self.chunks)
if self.storage:
self.storage.save(self.chunks)
else:
raise ValueError("No storage found to save documents.")
def convert_to_path(self, path: Union[Path, str]) -> Path:
"""Convert a path to a Path object."""

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@@ -16,7 +16,7 @@ class BaseKnowledgeSource(BaseModel, ABC):
chunk_embeddings: List[np.ndarray] = Field(default_factory=list)
model_config = ConfigDict(arbitrary_types_allowed=True)
storage: KnowledgeStorage = Field(default_factory=KnowledgeStorage)
storage: Optional[KnowledgeStorage] = Field(default=None)
metadata: Dict[str, Any] = Field(default_factory=dict) # Currently unused
collection_name: Optional[str] = Field(default=None)
@@ -46,4 +46,7 @@ class BaseKnowledgeSource(BaseModel, ABC):
Save the documents to the storage.
This method should be called after the chunks and embeddings are generated.
"""
self.storage.save(self.chunks)
if self.storage:
self.storage.save(self.chunks)
else:
raise ValueError("No storage found to save documents.")

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@@ -1,10 +1,5 @@
from typing import Any, Dict, List, Optional
try:
from typing import Self
except ImportError:
from typing_extensions import Self
from crewai.memory.storage.rag_storage import RAGStorage

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@@ -1,14 +0,0 @@
def test_self_import_compatibility():
"""
Test that the Self type is properly imported and used
in a way that supports Python 3.10+.
This test will pass as long as the module imports successfully.
The actual failure would happen during import if the compatibility
fix is not working.
"""
try:
from crewai.memory.memory import Self
assert True, "Self type imported successfully"
except ImportError:
assert False, "Failed to import Self type from crewai.memory.memory"