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EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} + run: uv run python ./cognee/tests/test_custom_data_label.py + test-graph-edges: name: Test graph edge ingestion runs-on: ubuntu-22.04 diff --git a/alembic/versions/a1b2c3d4e5f6_add_label_column_to_data.py b/alembic/versions/a1b2c3d4e5f6_add_label_column_to_data.py new file mode 100644 index 000000000..c127e078b --- /dev/null +++ b/alembic/versions/a1b2c3d4e5f6_add_label_column_to_data.py @@ -0,0 +1,38 @@ +"""Add label column to data table + +Revision ID: a1b2c3d4e5f6 +Revises: 211ab850ef3d +Create Date: 2025-11-17 17:54:32.123456 + +""" + +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa + +# revision identifiers, used by Alembic. +revision: str = "a1b2c3d4e5f6" +down_revision: Union[str, None] = "46a6ce2bd2b2" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def _get_column(inspector, table, name, schema=None): + for col in 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cognee.modules.pipelines.layers.reset_dataset_pipeline_run_status import ( ) from cognee.modules.engine.operations.setup import setup from cognee.tasks.ingestion import ingest_data, resolve_data_directories +from cognee.tasks.ingestion.data_item import DataItem from cognee.shared.logging_utils import get_logger logger = get_logger() async def add( - data: Union[BinaryIO, list[BinaryIO], str, list[str]], + data: Union[BinaryIO, list[BinaryIO], str, list[str], DataItem, list[DataItem]], dataset_name: str = "main_dataset", user: User = None, node_set: Optional[List[str]] = None, diff --git a/cognee/api/v1/datasets/routers/get_datasets_router.py b/cognee/api/v1/datasets/routers/get_datasets_router.py index 0eeac542a..afd2b2cce 100644 --- a/cognee/api/v1/datasets/routers/get_datasets_router.py +++ b/cognee/api/v1/datasets/routers/get_datasets_router.py @@ -46,6 +46,7 @@ class DatasetDTO(OutDTO): class DataDTO(OutDTO): id: UUID name: str + label: Optional[str] = None created_at: datetime updated_at: Optional[datetime] = None extension: str diff --git a/cognee/infrastructure/databases/relational/create_relational_engine.py b/cognee/infrastructure/databases/relational/create_relational_engine.py index b2a79c818..e3a9d3506 100644 --- a/cognee/infrastructure/databases/relational/create_relational_engine.py +++ b/cognee/infrastructure/databases/relational/create_relational_engine.py @@ -1,3 +1,4 @@ +from sqlalchemy import URL from .sqlalchemy.SqlAlchemyAdapter import SQLAlchemyAdapter from functools import lru_cache @@ -45,9 +46,16 @@ def create_relational_engine( # Test if asyncpg is available import asyncpg - connection_string = ( - f"postgresql+asyncpg://{db_username}:{db_password}@{db_host}:{db_port}/{db_name}" + # Handle special characters in username and password like # or @ + connection_string = URL.create( + "postgresql+asyncpg", + username=db_username, + password=db_password, + host=db_host, + port=int(db_port), + database=db_name, ) + except ImportError: raise ImportError( "PostgreSQL dependencies are not installed. Please install with 'pip install cognee\"[postgres]\"' or 'pip install cognee\"[postgres-binary]\"' to use PostgreSQL functionality." diff --git a/cognee/infrastructure/databases/vector/create_vector_engine.py b/cognee/infrastructure/databases/vector/create_vector_engine.py index 02e01e288..8a87f0339 100644 --- a/cognee/infrastructure/databases/vector/create_vector_engine.py +++ b/cognee/infrastructure/databases/vector/create_vector_engine.py @@ -1,3 +1,5 @@ +from sqlalchemy import URL + from .supported_databases import supported_databases from .embeddings import get_embedding_engine from cognee.infrastructure.databases.graph.config import get_graph_context_config @@ -66,8 +68,13 @@ def create_vector_engine( if not (db_host and db_port and db_name and db_username and db_password): raise EnvironmentError("Missing requred pgvector credentials!") - connection_string: str = ( - f"postgresql+asyncpg://{db_username}:{db_password}@{db_host}:{db_port}/{db_name}" + connection_string = URL.create( + "postgresql+asyncpg", + username=db_username, + password=db_password, + host=db_host, + port=int(db_port), + database=db_name, ) try: diff --git a/cognee/modules/data/models/Data.py b/cognee/modules/data/models/Data.py index ef228f2e1..3cdead9d9 100644 --- a/cognee/modules/data/models/Data.py +++ b/cognee/modules/data/models/Data.py @@ -13,7 +13,7 @@ class Data(Base): __tablename__ = "data" id = Column(UUID, primary_key=True, default=uuid4) - + label = Column(String, nullable=True) name = Column(String) extension = Column(String) mime_type = Column(String) @@ -49,6 +49,7 @@ class Data(Base): return { "id": str(self.id), "name": self.name, + "label": self.label, "extension": self.extension, "mimeType": self.mime_type, "rawDataLocation": self.raw_data_location, diff --git a/cognee/tasks/ingestion/data_item.py b/cognee/tasks/ingestion/data_item.py new file mode 100644 index 000000000..da213ed1c --- /dev/null +++ b/cognee/tasks/ingestion/data_item.py @@ -0,0 +1,8 @@ +from dataclasses import dataclass +from typing import Any, Optional + + +@dataclass +class DataItem: + data: Any + label: Optional[str] = None diff --git a/cognee/tasks/ingestion/ingest_data.py b/cognee/tasks/ingestion/ingest_data.py index 5987f38d5..0f2adb016 100644 --- a/cognee/tasks/ingestion/ingest_data.py +++ b/cognee/tasks/ingestion/ingest_data.py @@ -20,6 +20,7 @@ from cognee.modules.data.methods import ( from .save_data_item_to_storage import save_data_item_to_storage from .data_item_to_text_file import data_item_to_text_file +from .data_item import DataItem async def ingest_data( @@ -78,8 +79,16 @@ async def ingest_data( dataset_data_map = {str(data.id): True for data in dataset_data} for data_item in data: + # Support for DataItem (custom label + data wrapper) + current_label = None + underlying_data = data_item + + if isinstance(data_item, DataItem): + underlying_data = data_item.data + current_label = data_item.label + # Get file path of data item or create a file if it doesn't exist - original_file_path = await save_data_item_to_storage(data_item) + original_file_path = await save_data_item_to_storage(underlying_data) # Transform file path to be OS usable actual_file_path = get_data_file_path(original_file_path) @@ -139,6 +148,7 @@ async def ingest_data( data_point.external_metadata = ext_metadata data_point.node_set = json.dumps(node_set) if node_set else None data_point.tenant_id = user.tenant_id if user.tenant_id else None + data_point.label = current_label # Check if data is already in dataset if str(data_point.id) in dataset_data_map: @@ -169,6 +179,7 @@ async def ingest_data( tenant_id=user.tenant_id if user.tenant_id else None, pipeline_status={}, token_count=-1, + label=current_label, ) new_datapoints.append(data_point) diff --git a/cognee/tasks/ingestion/save_data_item_to_storage.py b/cognee/tasks/ingestion/save_data_item_to_storage.py index 05d21e617..85eef2736 100644 --- a/cognee/tasks/ingestion/save_data_item_to_storage.py +++ b/cognee/tasks/ingestion/save_data_item_to_storage.py @@ -9,6 +9,7 @@ from cognee.shared.logging_utils import get_logger from pydantic_settings import BaseSettings, SettingsConfigDict from cognee.tasks.web_scraper.utils import fetch_page_content +from cognee.tasks.ingestion.data_item import DataItem logger = get_logger() @@ -95,5 +96,9 @@ async def save_data_item_to_storage(data_item: Union[BinaryIO, str, Any]) -> str # data is text, save it to data storage and return the file path return await save_data_to_file(data_item) + if isinstance(data_item, DataItem): + # If instance is DataItem use the underlying data + return await save_data_item_to_storage(data_item.data) + # data is not a supported type raise IngestionError(message=f"Data type not supported: {type(data_item)}") diff --git a/cognee/tests/test_custom_data_label.py b/cognee/tests/test_custom_data_label.py new file mode 100644 index 000000000..0dab1cbd7 --- /dev/null +++ b/cognee/tests/test_custom_data_label.py @@ -0,0 +1,68 @@ +import asyncio +import cognee +from cognee.shared.logging_utils import setup_logging, ERROR +from cognee.api.v1.search import SearchType + + +async def main(): + # Create a clean slate for cognee -- reset data and system state + print("Resetting cognee data...") + await cognee.prune.prune_data() + await cognee.prune.prune_system(metadata=True) + print("Data reset complete.\n") + + # cognee knowledge graph will be created based on this text + text = """ + Natural language processing (NLP) is an interdisciplinary + subfield of computer science and information retrieval. + """ + from cognee.tasks.ingestion.data_item import DataItem + + test_item = DataItem(text, "test_item") + # Add the text, and make it available for cognify + await cognee.add(test_item) + + # Use LLMs and cognee to create knowledge graph + ret_val = await cognee.cognify() + + query_text = "Tell me about NLP" + print(f"Searching cognee for insights with query: '{query_text}'") + # Query cognee for insights on the added text + search_results = await cognee.search( + query_type=SearchType.GRAPH_COMPLETION, query_text=query_text + ) + + print("Search results:") + # Display results + for result_text in search_results: + print(result_text) + + from cognee.modules.data.methods.get_dataset_data import get_dataset_data + + for pipeline in ret_val.values(): + dataset_id = pipeline.dataset_id + + dataset_data = await get_dataset_data(dataset_id=dataset_id) + + from fastapi.encoders import jsonable_encoder + + data = [ + dict( + **jsonable_encoder(data), + dataset_id=dataset_id, + ) + for data in dataset_data + ] + + # Check if label is properly added and stored + assert data[0]["label"] == "test_item" + + +if __name__ == "__main__": + logger = setup_logging(log_level=ERROR) + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + try: + loop.run_until_complete(main()) + finally: + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/uv.lock b/uv.lock index 6b5dd3338..9df387449 100644 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