refactor: Reduce complexity of metadata handling
Have foreign metadata be a table column in data instead of it's own table to reduce complexity Refactor COG-793
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0c7c1d7503
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15 changed files with 20 additions and 151 deletions
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@ -95,7 +95,7 @@ class LiteLLMEmbeddingEngine(EmbeddingEngine):
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return await self.embed_text(text)
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except (litellm.exceptions.BadRequestError, litellm.llms.OpenAI.openai.OpenAIError):
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except litellm.exceptions.BadRequestError:
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raise EmbeddingException("Failed to index data points.")
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except Exception as error:
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@ -54,7 +54,6 @@ class TextChunker:
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contains=[],
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_metadata={
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"index_fields": ["text"],
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"metadata_id": self.document.metadata_id,
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},
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)
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paragraph_chunks = []
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@ -74,7 +73,6 @@ class TextChunker:
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contains=[],
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_metadata={
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"index_fields": ["text"],
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"metadata_id": self.document.metadata_id,
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},
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)
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except Exception as e:
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@ -95,7 +93,7 @@ class TextChunker:
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chunk_index=self.chunk_index,
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cut_type=paragraph_chunks[len(paragraph_chunks) - 1]["cut_type"],
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contains=[],
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_metadata={"index_fields": ["text"], "metadata_id": self.document.metadata_id},
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_metadata={"index_fields": ["text"]},
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)
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except Exception as e:
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print(e)
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@ -1,13 +1,11 @@
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from datetime import datetime, timezone
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from typing import List
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from uuid import uuid4
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from sqlalchemy import UUID, Column, DateTime, String
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from sqlalchemy.orm import Mapped, relationship
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from sqlalchemy import UUID, Column, DateTime, String, JSON
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from sqlalchemy.orm import relationship
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from cognee.infrastructure.databases.relational import Base
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from .DatasetData import DatasetData
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from .Metadata import Metadata
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class Data(Base):
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@ -21,6 +19,7 @@ class Data(Base):
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raw_data_location = Column(String)
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owner_id = Column(UUID, index=True)
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content_hash = Column(String)
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foreign_metadata = Column(JSON)
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created_at = Column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc))
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updated_at = Column(DateTime(timezone=True), onupdate=lambda: datetime.now(timezone.utc))
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@ -32,13 +31,6 @@ class Data(Base):
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cascade="all, delete",
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)
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metadata_relationship = relationship(
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"Metadata",
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back_populates="data",
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lazy="noload",
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cascade="all, delete",
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)
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def to_json(self) -> dict:
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return {
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"id": str(self.id),
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@ -1,21 +0,0 @@
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from datetime import datetime, timezone
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from uuid import uuid4
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from sqlalchemy import UUID, Column, DateTime, String, ForeignKey
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from sqlalchemy.orm import relationship
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from cognee.infrastructure.databases.relational import Base
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class Metadata(Base):
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__tablename__ = "metadata_table"
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id = Column(UUID, primary_key=True, default=uuid4)
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metadata_repr = Column(String)
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metadata_source = Column(String)
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created_at = Column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc))
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updated_at = Column(DateTime(timezone=True), onupdate=lambda: datetime.now(timezone.utc))
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data_id = Column(UUID, ForeignKey("data.id", ondelete="CASCADE"), primary_key=False)
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data = relationship("Data", back_populates="metadata_relationship")
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@ -1,19 +0,0 @@
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import warnings
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from uuid import UUID
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from sqlalchemy import select
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from cognee.infrastructure.databases.relational import get_relational_engine
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from ..models.Metadata import Metadata
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async def delete_metadata(metadata_id: UUID):
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db_engine = get_relational_engine()
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async with db_engine.get_async_session() as session:
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metadata = await session.get(Metadata, metadata_id)
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if metadata is None:
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warnings.warn(f"metadata for metadata_id: {metadata_id} not found")
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session.delete(metadata)
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session.commit()
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@ -1,17 +0,0 @@
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import json
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from uuid import UUID
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from sqlalchemy import select
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from cognee.infrastructure.databases.relational import get_relational_engine
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from ..models.Metadata import Metadata
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async def get_metadata(metadata_id: UUID) -> Metadata:
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db_engine = get_relational_engine()
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async with db_engine.get_async_session() as session:
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metadata = await session.get(Metadata, metadata_id)
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return metadata
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@ -1,65 +0,0 @@
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import inspect
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import json
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import re
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import warnings
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from uuid import UUID
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from sqlalchemy import select
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from typing import Any, BinaryIO, Union
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from cognee.infrastructure.databases.relational import get_relational_engine
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from cognee.infrastructure.files.utils.get_file_metadata import FileMetadata
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from ..models.Metadata import Metadata
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async def write_metadata(
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data_item: Union[BinaryIO, str, Any], data_id: UUID, file_metadata: FileMetadata
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) -> UUID:
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metadata_dict = get_metadata_dict(data_item, file_metadata)
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db_engine = get_relational_engine()
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async with db_engine.get_async_session() as session:
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metadata = (
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await session.execute(select(Metadata).filter(Metadata.data_id == data_id))
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).scalar_one_or_none()
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if metadata is not None:
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metadata.metadata_repr = json.dumps(metadata_dict)
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metadata.metadata_source = parse_type(type(data_item))
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await session.merge(metadata)
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else:
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metadata = Metadata(
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id=data_id,
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metadata_repr=json.dumps(metadata_dict),
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metadata_source=parse_type(type(data_item)),
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data_id=data_id,
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)
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session.add(metadata)
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await session.commit()
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def parse_type(type_: Any) -> str:
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pattern = r".+'([\w_\.]+)'"
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match = re.search(pattern, str(type_))
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if match:
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return match.group(1)
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else:
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raise Exception(f"type: {type_} could not be parsed")
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def get_metadata_dict(
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data_item: Union[BinaryIO, str, Any], file_metadata: FileMetadata
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) -> dict[str, Any]:
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if isinstance(data_item, str):
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return file_metadata
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elif isinstance(data_item, BinaryIO):
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return file_metadata
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elif hasattr(data_item, "dict") and inspect.ismethod(getattr(data_item, "dict")):
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return {**file_metadata, **data_item.dict()}
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else:
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warnings.warn(
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f"metadata of type {type(data_item)}: {str(data_item)[:20]}... does not have dict method. Defaulting to string method"
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)
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try:
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return {**dict(file_metadata), "content": str(data_item)}
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except Exception as e:
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raise Exception(f"Could not cast metadata to string: {e}")
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@ -7,7 +7,6 @@ from cognee.infrastructure.engine import DataPoint
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class Document(DataPoint):
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name: str
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raw_data_location: str
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metadata_id: UUID
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mime_type: str
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_metadata: dict = {"index_fields": ["name"], "type": "Document"}
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@ -7,7 +7,6 @@ from cognee.modules.data.processing.document_types import (
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TextDocument,
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UnstructuredDocument,
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)
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from cognee.modules.data.operations.get_metadata import get_metadata
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EXTENSION_TO_DOCUMENT_CLASS = {
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"pdf": PdfDocument, # Text documents
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@ -52,14 +51,12 @@ EXTENSION_TO_DOCUMENT_CLASS = {
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async def classify_documents(data_documents: list[Data]) -> list[Document]:
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documents = []
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for data_item in data_documents:
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metadata = await get_metadata(data_item.id)
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document = EXTENSION_TO_DOCUMENT_CLASS[data_item.extension](
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id=data_item.id,
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title=f"{data_item.name}.{data_item.extension}",
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raw_data_location=data_item.raw_data_location,
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name=data_item.name,
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mime_type=data_item.mime_type,
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metadata_id=metadata.id,
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)
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documents.append(document)
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@ -8,12 +8,15 @@ from cognee.modules.data.models.DatasetData import DatasetData
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from cognee.modules.users.models import User
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from cognee.modules.users.permissions.methods import give_permission_on_document
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from cognee.shared.utils import send_telemetry
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from cognee.modules.data.operations.write_metadata import write_metadata
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from .get_dlt_destination import get_dlt_destination
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from .save_data_item_to_storage import (
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save_data_item_to_storage,
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)
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from typing import Union, BinaryIO
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import inspect
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import warnings
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async def ingest_data(data: Any, dataset_name: str, user: User):
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destination = get_dlt_destination()
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@ -23,6 +26,15 @@ async def ingest_data(data: Any, dataset_name: str, user: User):
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destination=destination,
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)
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def get_foreign_metadata_dict(data_item: Union[BinaryIO, str, Any]) -> dict[str, Any]:
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if hasattr(data_item, "dict") and inspect.ismethod(getattr(data_item, "dict")):
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return {"metadata": data_item.dict(), "origin": str(type(data_item))}
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else:
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warnings.warn(
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f"Data of type {type(data_item)}... does not have dict method. Returning empty metadata."
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)
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return {}
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@dlt.resource(standalone=True, primary_key="id", merge_key="id")
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async def data_resources(file_paths: List[str], user: User):
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for file_path in file_paths:
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@ -83,6 +95,7 @@ async def ingest_data(data: Any, dataset_name: str, user: User):
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data_point.mime_type = file_metadata["mime_type"]
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data_point.owner_id = user.id
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data_point.content_hash = file_metadata["content_hash"]
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data_point.foreign_metadata = (get_foreign_metadata_dict(data_item),)
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await session.merge(data_point)
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else:
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data_point = Data(
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@ -93,6 +106,7 @@ async def ingest_data(data: Any, dataset_name: str, user: User):
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mime_type=file_metadata["mime_type"],
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owner_id=user.id,
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content_hash=file_metadata["content_hash"],
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foreign_metadata=get_foreign_metadata_dict(data_item),
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)
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# Check if data is already in dataset
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@ -108,7 +122,6 @@ async def ingest_data(data: Any, dataset_name: str, user: User):
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dataset.data.append(data_point)
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await session.commit()
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await write_metadata(data_item, data_point.id, file_metadata)
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await give_permission_on_document(user, data_id, "read")
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await give_permission_on_document(user, data_id, "write")
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@ -29,7 +29,6 @@ def test_AudioDocument():
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id=uuid.uuid4(),
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name="audio-dummy-test",
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raw_data_location="",
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metadata_id=uuid.uuid4(),
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mime_type="",
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)
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with patch.object(AudioDocument, "create_transcript", return_value=TEST_TEXT):
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@ -18,7 +18,6 @@ def test_ImageDocument():
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id=uuid.uuid4(),
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name="image-dummy-test",
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raw_data_location="",
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metadata_id=uuid.uuid4(),
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mime_type="",
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)
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with patch.object(ImageDocument, "transcribe_image", return_value=TEST_TEXT):
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@ -20,7 +20,6 @@ def test_PdfDocument():
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id=uuid.uuid4(),
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name="Test document.pdf",
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raw_data_location=test_file_path,
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metadata_id=uuid.uuid4(),
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mime_type="",
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)
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@ -32,7 +32,6 @@ def test_TextDocument(input_file, chunk_size):
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id=uuid.uuid4(),
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name=input_file,
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raw_data_location=test_file_path,
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metadata_id=uuid.uuid4(),
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mime_type="",
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)
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@ -39,7 +39,6 @@ def test_UnstructuredDocument():
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id=uuid.uuid4(),
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name="example.pptx",
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raw_data_location=pptx_file_path,
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metadata_id=uuid.uuid4(),
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mime_type="application/vnd.openxmlformats-officedocument.presentationml.presentation",
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)
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@ -47,7 +46,6 @@ def test_UnstructuredDocument():
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id=uuid.uuid4(),
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name="example.docx",
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raw_data_location=docx_file_path,
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metadata_id=uuid.uuid4(),
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mime_type="application/vnd.openxmlformats-officedocument.wordprocessingml.document",
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)
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@ -55,7 +53,6 @@ def test_UnstructuredDocument():
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id=uuid.uuid4(),
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name="example.csv",
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raw_data_location=csv_file_path,
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metadata_id=uuid.uuid4(),
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mime_type="text/csv",
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)
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@ -63,7 +60,6 @@ def test_UnstructuredDocument():
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id=uuid.uuid4(),
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name="example.xlsx",
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raw_data_location=xlsx_file_path,
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metadata_id=uuid.uuid4(),
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mime_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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)
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