diff --git a/.env.template b/.env.template index ff591c0a..75a57de4 100644 --- a/.env.template +++ b/.env.template @@ -14,7 +14,7 @@ GRAPH_DATABASE_URL= GRAPH_DATABASE_USERNAME= GRAPH_DATABASE_PASSWORD= -# "qdrant", "pgvector", "weaviate" or "lancedb" +# "qdrant", "pgvector", "weaviate", "milvus" or "lancedb" VECTOR_DB_PROVIDER="lancedb" # Not needed if using "lancedb" or "pgvector" VECTOR_DB_URL= diff --git a/.github/workflows/test_milvus.yml b/.github/workflows/test_milvus.yml new file mode 100644 index 00000000..2cfd8899 --- /dev/null +++ b/.github/workflows/test_milvus.yml @@ -0,0 +1,64 @@ +name: test | milvus + +on: + workflow_dispatch: + pull_request: + branches: + - main + types: [labeled, synchronize] + +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} + cancel-in-progress: true + +env: + RUNTIME__LOG_LEVEL: ERROR + ENV: 'dev' + +jobs: + get_docs_changes: + name: docs changes + uses: ./.github/workflows/get_docs_changes.yml + + run_milvus: + name: test + needs: get_docs_changes + if: needs.get_docs_changes.outputs.changes_outside_docs == 'true' && ${{ github.event.label.name == 'run-checks' }} + runs-on: ubuntu-latest + strategy: + fail-fast: false + defaults: + run: + shell: bash + + steps: + - name: Check out + uses: actions/checkout@master + + - name: Setup Python + uses: actions/setup-python@v5 + with: + python-version: '3.11.x' + + - name: Install Poetry + # https://github.com/snok/install-poetry#running-on-windows + uses: snok/install-poetry@v1.3.2 + with: + virtualenvs-create: true + virtualenvs-in-project: true + installer-parallel: true + + - name: Install dependencies + run: poetry install -E milvus --no-interaction + + - name: Run default basic pipeline + env: + ENV: 'dev' + LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} + run: poetry run python ./cognee/tests/test_milvus.py + + - name: Clean up disk space + run: | + sudo rm -rf ~/.cache + sudo rm -rf /tmp/* + df -h diff --git a/.github/workflows/test_neo4j.yml b/.github/workflows/test_neo4j.yml index 0b47a55f..69aca247 100644 --- a/.github/workflows/test_neo4j.yml +++ b/.github/workflows/test_neo4j.yml @@ -46,7 +46,7 @@ jobs: installer-parallel: true - name: Install dependencies - run: poetry install --no-interaction + run: poetry install -E neo4j --no-interaction - name: Run default Neo4j env: diff --git a/.github/workflows/test_qdrant.yml b/.github/workflows/test_qdrant.yml index a6347bd0..4291801f 100644 --- a/.github/workflows/test_qdrant.yml +++ b/.github/workflows/test_qdrant.yml @@ -47,7 +47,7 @@ jobs: installer-parallel: true - name: Install dependencies - run: poetry install --no-interaction + run: poetry install -E qdrant --no-interaction - name: Run default Qdrant env: diff --git a/.github/workflows/test_weaviate.yml b/.github/workflows/test_weaviate.yml index 490f9075..67968e6a 100644 --- a/.github/workflows/test_weaviate.yml +++ b/.github/workflows/test_weaviate.yml @@ -47,7 +47,7 @@ jobs: installer-parallel: true - name: Install dependencies - run: poetry install --no-interaction + run: poetry install -E weaviate --no-interaction - name: Run default Weaviate env: diff --git a/README.md b/README.md index b9ea686b..f0aa2a28 100644 --- a/README.md +++ b/README.md @@ -13,37 +13,64 @@ We build for developers who need a reliable, production-ready data layer for AI ## What is cognee? Cognee implements scalable, modular ECL (Extract, Cognify, Load) pipelines that allow you to interconnect and retrieve past conversations, documents, and audio transcriptions while reducing hallucinations, developer effort, and cost. -Try it in a Google Colab notebook or have a look at our documentation +Try it in a Google Colab notebook or have a look at our documentation If you have questions, join our Discord community ## 📦 Installation +You can install Cognee using either **pip** or **poetry**. +Support for various databases and vector stores is available through extras. + ### With pip ```bash pip install cognee ``` -### With pip with PostgreSQL support +### With poetry ```bash -pip install 'cognee[postgres]' +poetry add cognee ``` -### With poetry +### With pip with specific database support +To install Cognee with support for specific databases use the appropriate command below. Replace \ with the name of the database you need. ```bash -poetry add cognee +pip install 'cognee[]' ``` -### With poetry with PostgreSQL support +Replace \ with any of the following databases: +- postgres +- weaviate +- qdrant +- neo4j +- milvus +Installing Cognee with PostgreSQL and Neo4j support example: ```bash -poetry add cognee -E postgres +pip install 'cognee[postgres, neo4j]' ``` +### With poetry with specific database support + +To install Cognee with support for specific databases use the appropriate command below. Replace \ with the name of the database you need. +```bash +poetry add cognee -E +``` +Replace \ with any of the following databases: +- postgres +- weaviate +- qdrant +- neo4j +- milvus + +Installing Cognee with PostgreSQL and Neo4j support example: +```bash +poetry add cognee -E postgres -E neo4j +``` ## 💻 Basic Usage @@ -61,7 +88,7 @@ import cognee cognee.config.set_llm_api_key("YOUR_OPENAI_API_KEY") ``` You can also set the variables by creating .env file, here is our template. -To use different LLM providers, for more info check out our documentation +To use different LLM providers, for more info check out our documentation If you are using Network, create an account on Graphistry to visualize results: ``` @@ -282,7 +309,7 @@ Check out our demo notebook [here](https://github.com/topoteretes/cognee/blob/ma ### Install Server -Please see the [cognee Quick Start Guide](https://topoteretes.github.io/cognee/quickstart/) for important configuration information. +Please see the [cognee Quick Start Guide](https://docs.cognee.ai/quickstart/) for important configuration information. ```bash docker compose up @@ -291,7 +318,7 @@ docker compose up ### Install SDK -Please see the cognee [Development Guide](https://topoteretes.github.io/cognee/quickstart/) for important beta information and usage instructions. +Please see the cognee [Development Guide](https://docs.cognee.ai/quickstart/) for important beta information and usage instructions. ```bash pip install cognee @@ -317,12 +344,13 @@ pip install cognee } -| Name | Type | Current state | Known Issues | -|------------------|--------------------|-------------------|---------------------------------------| -| Qdrant | Vector | Stable ✅ | | -| Weaviate | Vector | Stable ✅ | | -| LanceDB | Vector | Stable ✅ | | -| Neo4j | Graph | Stable ✅ | | -| NetworkX | Graph | Stable ✅ | | -| FalkorDB | Vector/Graph | Unstable ❌ | | -| PGVector | Vector | Unstable ❌ | Postgres DB returns the Timeout error | +| Name | Type | Current state | Known Issues | +|----------|--------------------|-------------------|--------------| +| Qdrant | Vector | Stable ✅ | | +| Weaviate | Vector | Stable ✅ | | +| LanceDB | Vector | Stable ✅ | | +| Neo4j | Graph | Stable ✅ | | +| NetworkX | Graph | Stable ✅ | | +| FalkorDB | Vector/Graph | Unstable ❌ | | +| PGVector | Vector | Stable ✅ | | +| Milvus | Vector | Stable ✅ | | \ No newline at end of file diff --git a/cognee/infrastructure/databases/relational/get_relational_engine.py b/cognee/infrastructure/databases/relational/get_relational_engine.py index c0a66e28..d035f5ba 100644 --- a/cognee/infrastructure/databases/relational/get_relational_engine.py +++ b/cognee/infrastructure/databases/relational/get_relational_engine.py @@ -1,9 +1,9 @@ -from functools import lru_cache +# from functools import lru_cache from .config import get_relational_config from .create_relational_engine import create_relational_engine -@lru_cache +# @lru_cache def get_relational_engine(): relational_config = get_relational_config() diff --git a/cognee/infrastructure/databases/vector/create_vector_engine.py b/cognee/infrastructure/databases/vector/create_vector_engine.py index 96937a13..32db4893 100644 --- a/cognee/infrastructure/databases/vector/create_vector_engine.py +++ b/cognee/infrastructure/databases/vector/create_vector_engine.py @@ -1,11 +1,13 @@ from typing import Dict + class VectorConfig(Dict): vector_db_url: str vector_db_port: str vector_db_key: str vector_db_provider: str + def create_vector_engine(config: VectorConfig, embedding_engine): if config["vector_db_provider"] == "weaviate": from .weaviate_db import WeaviateAdapter @@ -16,24 +18,37 @@ def create_vector_engine(config: VectorConfig, embedding_engine): return WeaviateAdapter( config["vector_db_url"], config["vector_db_key"], - embedding_engine = embedding_engine + embedding_engine=embedding_engine ) elif config["vector_db_provider"] == "qdrant": if not (config["vector_db_url"] and config["vector_db_key"]): raise EnvironmentError("Missing requred Qdrant credentials!") - + from .qdrant.QDrantAdapter import QDrantAdapter return QDrantAdapter( - url = config["vector_db_url"], - api_key = config["vector_db_key"], - embedding_engine = embedding_engine + url=config["vector_db_url"], + api_key=config["vector_db_key"], + embedding_engine=embedding_engine + ) + + elif config['vector_db_provider'] == 'milvus': + from .milvus.MilvusAdapter import MilvusAdapter + + if not config["vector_db_url"]: + raise EnvironmentError("Missing required Milvus credentials!") + + return MilvusAdapter( + url=config["vector_db_url"], + api_key=config['vector_db_key'], + embedding_engine=embedding_engine ) + elif config["vector_db_provider"] == "pgvector": from cognee.infrastructure.databases.relational import get_relational_config - + # Get configuration for postgres database relational_config = get_relational_config() db_username = relational_config.db_username @@ -52,8 +67,8 @@ def create_vector_engine(config: VectorConfig, embedding_engine): from .pgvector.PGVectorAdapter import PGVectorAdapter return PGVectorAdapter( - connection_string, - config["vector_db_key"], + connection_string, + config["vector_db_key"], embedding_engine, ) @@ -64,16 +79,16 @@ def create_vector_engine(config: VectorConfig, embedding_engine): from ..hybrid.falkordb.FalkorDBAdapter import FalkorDBAdapter return FalkorDBAdapter( - database_url = config["vector_db_url"], - database_port = config["vector_db_port"], - embedding_engine = embedding_engine, + database_url=config["vector_db_url"], + database_port=config["vector_db_port"], + embedding_engine=embedding_engine, ) else: from .lancedb.LanceDBAdapter import LanceDBAdapter return LanceDBAdapter( - url = config["vector_db_url"], - api_key = config["vector_db_key"], - embedding_engine = embedding_engine, + url=config["vector_db_url"], + api_key=config["vector_db_key"], + embedding_engine=embedding_engine, ) diff --git a/cognee/infrastructure/databases/vector/embeddings/LiteLLMEmbeddingEngine.py b/cognee/infrastructure/databases/vector/embeddings/LiteLLMEmbeddingEngine.py index edc8eb57..6526e59c 100644 --- a/cognee/infrastructure/databases/vector/embeddings/LiteLLMEmbeddingEngine.py +++ b/cognee/infrastructure/databases/vector/embeddings/LiteLLMEmbeddingEngine.py @@ -1,4 +1,6 @@ +import asyncio import logging +import math from typing import List, Optional import litellm from cognee.infrastructure.databases.vector.embeddings.EmbeddingEngine import EmbeddingEngine @@ -36,11 +38,26 @@ async def embed_text(self, text: List[str]) -> List[List[float]]: api_base = self.endpoint, api_version = self.api_version ) - except litellm.exceptions.BadRequestError as error: - logger.error("Error embedding text: %s", str(error)) + return [data["embedding"] for data in response.data] + + except litellm.exceptions.ContextWindowExceededError as error: + if isinstance(text, list): + parts = [text[0:math.ceil(len(text)/2)], text[math.ceil(len(text)/2):]] + parts_futures = [self.embed_text(part) for part in parts] + embeddings = await asyncio.gather(*parts_futures) + + all_embeddings = [] + for embeddings_part in embeddings: + all_embeddings.extend(embeddings_part) + + return [data["embedding"] for data in all_embeddings] + + logger.error("Context window exceeded for embedding text: %s", str(error)) raise error - return [data["embedding"] for data in response.data] + except Exception as error: + logger.error("Error embedding text: %s", str(error)) + raise error def get_vector_size(self) -> int: return self.dimensions diff --git a/cognee/infrastructure/databases/vector/milvus/MilvusAdapter.py b/cognee/infrastructure/databases/vector/milvus/MilvusAdapter.py new file mode 100644 index 00000000..84beb727 --- /dev/null +++ b/cognee/infrastructure/databases/vector/milvus/MilvusAdapter.py @@ -0,0 +1,252 @@ +from __future__ import annotations + +import asyncio +import logging +from typing import List, Optional +from uuid import UUID +from cognee.infrastructure.engine import DataPoint +from ..vector_db_interface import VectorDBInterface +from ..models.ScoredResult import ScoredResult +from ..embeddings.EmbeddingEngine import EmbeddingEngine + +logger = logging.getLogger("MilvusAdapter") + + +class IndexSchema(DataPoint): + text: str + + _metadata: dict = { + "index_fields": ["text"] + } + + +class MilvusAdapter(VectorDBInterface): + name = "Milvus" + url: str + api_key: Optional[str] + embedding_engine: EmbeddingEngine = None + + def __init__(self, url: str, api_key: Optional[str], embedding_engine: EmbeddingEngine): + self.url = url + self.api_key = api_key + + self.embedding_engine = embedding_engine + + def get_milvus_client(self) -> "MilvusClient": + from pymilvus import MilvusClient + if self.api_key: + client = MilvusClient(uri=self.url, token=self.api_key) + else: + client = MilvusClient(uri=self.url) + return client + + async def embed_data(self, data: List[str]) -> list[list[float]]: + return await self.embedding_engine.embed_text(data) + + async def has_collection(self, collection_name: str) -> bool: + future = asyncio.Future() + client = self.get_milvus_client() + future.set_result(client.has_collection(collection_name=collection_name)) + + return await future + + async def create_collection( + self, + collection_name: str, + payload_schema=None, + ): + from pymilvus import DataType, MilvusException + client = self.get_milvus_client() + if client.has_collection(collection_name=collection_name): + logger.info(f"Collection '{collection_name}' already exists.") + return True + + try: + dimension = self.embedding_engine.get_vector_size() + assert dimension > 0, "Embedding dimension must be greater than 0." + + schema = client.create_schema( + auto_id=False, + enable_dynamic_field=False, + ) + + schema.add_field( + field_name="id", + datatype=DataType.VARCHAR, + is_primary=True, + max_length=36 + ) + + schema.add_field( + field_name="vector", + datatype=DataType.FLOAT_VECTOR, + dim=dimension + ) + + schema.add_field( + field_name="text", + datatype=DataType.VARCHAR, + max_length=60535 + ) + + index_params = client.prepare_index_params() + index_params.add_index( + field_name="vector", + metric_type="COSINE" + ) + + client.create_collection( + collection_name=collection_name, + schema=schema, + index_params=index_params + ) + + client.load_collection(collection_name) + + logger.info(f"Collection '{collection_name}' created successfully.") + return True + except MilvusException as e: + logger.error(f"Error creating collection '{collection_name}': {str(e)}") + raise e + + async def create_data_points( + self, + collection_name: str, + data_points: List[DataPoint] + ): + from pymilvus import MilvusException + client = self.get_milvus_client() + data_vectors = await self.embed_data( + [data_point.get_embeddable_data() for data_point in data_points] + ) + + insert_data = [ + { + "id": str(data_point.id), + "vector": data_vectors[index], + "text": data_point.text, + } + for index, data_point in enumerate(data_points) + ] + + try: + result = client.insert( + collection_name=collection_name, + data=insert_data + ) + logger.info( + f"Inserted {result.get('insert_count', 0)} data points into collection '{collection_name}'." + ) + return result + except MilvusException as e: + logger.error(f"Error inserting data points into collection '{collection_name}': {str(e)}") + raise e + + async def create_vector_index(self, index_name: str, index_property_name: str): + await self.create_collection(f"{index_name}_{index_property_name}") + + async def index_data_points(self, index_name: str, index_property_name: str, data_points: List[DataPoint]): + formatted_data_points = [ + IndexSchema( + id=data_point.id, + text=getattr(data_point, data_point._metadata["index_fields"][0]), + ) + for data_point in data_points + ] + collection_name = f"{index_name}_{index_property_name}" + await self.create_data_points(collection_name, formatted_data_points) + + async def retrieve(self, collection_name: str, data_point_ids: list[str]): + from pymilvus import MilvusException + client = self.get_milvus_client() + try: + filter_expression = f"""id in [{", ".join(f'"{id}"' for id in data_point_ids)}]""" + + results = client.query( + collection_name=collection_name, + expr=filter_expression, + output_fields=["*"], + ) + return results + except MilvusException as e: + logger.error(f"Error retrieving data points from collection '{collection_name}': {str(e)}") + raise e + + async def search( + self, + collection_name: str, + query_text: Optional[str] = None, + query_vector: Optional[List[float]] = None, + limit: int = 5, + with_vector: bool = False, + ): + from pymilvus import MilvusException + client = self.get_milvus_client() + if query_text is None and query_vector is None: + raise ValueError("One of query_text or query_vector must be provided!") + + try: + query_vector = query_vector or (await self.embed_data([query_text]))[0] + + output_fields = ["id", "text"] + if with_vector: + output_fields.append("vector") + + results = client.search( + collection_name=collection_name, + data=[query_vector], + anns_field="vector", + limit=limit, + output_fields=output_fields, + search_params={ + "metric_type": "COSINE", + }, + ) + + return [ + ScoredResult( + id=UUID(result["id"]), + score=result["distance"], + payload=result.get("entity", {}), + ) + for result in results[0] + ] + except MilvusException as e: + logger.error(f"Error during search in collection '{collection_name}': {str(e)}") + raise e + + async def batch_search(self, collection_name: str, query_texts: List[str], limit: int, with_vectors: bool = False): + query_vectors = await self.embed_data(query_texts) + + return await asyncio.gather( + *[self.search(collection_name=collection_name, + query_vector=query_vector, + limit=limit, + with_vector=with_vectors, + ) for query_vector in query_vectors] + ) + + async def delete_data_points(self, collection_name: str, data_point_ids: list[str]): + from pymilvus import MilvusException + client = self.get_milvus_client() + try: + filter_expression = f"""id in [{", ".join(f'"{id}"' for id in data_point_ids)}]""" + + delete_result = client.delete( + collection_name=collection_name, + filter=filter_expression + ) + + logger.info(f"Deleted data points with IDs {data_point_ids} from collection '{collection_name}'.") + return delete_result + except MilvusException as e: + logger.error(f"Error deleting data points from collection '{collection_name}': {str(e)}") + raise e + + async def prune(self): + client = self.get_milvus_client() + if client: + collections = client.list_collections() + for collection_name in collections: + client.drop_collection(collection_name=collection_name) + client.close() diff --git a/cognee/infrastructure/databases/vector/milvus/__init__.py b/cognee/infrastructure/databases/vector/milvus/__init__.py new file mode 100644 index 00000000..ecb3cb14 --- /dev/null +++ b/cognee/infrastructure/databases/vector/milvus/__init__.py @@ -0,0 +1 @@ +from .MilvusAdapter import MilvusAdapter diff --git a/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py b/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py index f2e5ee36..cd275506 100644 --- a/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py +++ b/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py @@ -1,6 +1,5 @@ import asyncio from uuid import UUID -from pgvector.sqlalchemy import Vector from typing import List, Optional, get_type_hints from sqlalchemy.orm import Mapped, mapped_column from sqlalchemy import JSON, Column, Table, select, delete @@ -70,6 +69,8 @@ async def create_collection(self, collection_name: str, payload_schema=None): vector_size = self.embedding_engine.get_vector_size() if not await self.has_collection(collection_name): + + from pgvector.sqlalchemy import Vector class PGVectorDataPoint(Base): __tablename__ = collection_name __table_args__ = {"extend_existing": True} @@ -107,6 +108,7 @@ async def create_data_points( vector_size = self.embedding_engine.get_vector_size() + from pgvector.sqlalchemy import Vector class PGVectorDataPoint(Base): __tablename__ = collection_name __table_args__ = {"extend_existing": True} diff --git a/cognee/modules/graph/utils/get_model_instance_from_graph.py b/cognee/modules/graph/utils/get_model_instance_from_graph.py index 16658d74..82cdfa15 100644 --- a/cognee/modules/graph/utils/get_model_instance_from_graph.py +++ b/cognee/modules/graph/utils/get_model_instance_from_graph.py @@ -1,41 +1,29 @@ -from typing import Callable - from pydantic_core import PydanticUndefined - from cognee.infrastructure.engine import DataPoint from cognee.modules.storage.utils import copy_model -def get_model_instance_from_graph( - nodes: list[DataPoint], - edges: list[tuple[str, str, str, dict[str, str]]], - entity_id: str, -): - node_map = {node.id: node for node in nodes} +def get_model_instance_from_graph(nodes: list[DataPoint], edges: list, entity_id: str): + node_map = {} - for source_node_id, target_node_id, edge_label, edge_properties in edges: - source_node = node_map[source_node_id] - target_node = node_map[target_node_id] + for node in nodes: + node_map[node.id] = node + + for edge in edges: + source_node = node_map[edge[0]] + target_node = node_map[edge[1]] + edge_label = edge[2] + edge_properties = edge[3] if len(edge) == 4 else {} edge_metadata = edge_properties.get("metadata", {}) - edge_type = edge_metadata.get("type", "default") + edge_type = edge_metadata.get("type") if edge_type == "list": - NewModel = copy_model( - type(source_node), - {edge_label: (list[type(target_node)], PydanticUndefined)}, - ) - source_node_dict = source_node.model_dump() - source_node_edge_label_values = source_node_dict.get(edge_label, []) - source_node_dict[edge_label] = source_node_edge_label_values + [target_node] - - node_map[source_node_id] = NewModel(**source_node_dict) + NewModel = copy_model(type(source_node), { edge_label: (list[type(target_node)], PydanticUndefined) }) + + node_map[edge[0]] = NewModel(**source_node.model_dump(), **{ edge_label: [target_node] }) else: - NewModel = copy_model( - type(source_node), {edge_label: (type(target_node), PydanticUndefined)} - ) + NewModel = copy_model(type(source_node), { edge_label: (type(target_node), PydanticUndefined) }) - node_map[target_node_id] = NewModel( - **source_node.model_dump(), **{edge_label: target_node} - ) + node_map[edge[0]] = NewModel(**source_node.model_dump(), **{ edge_label: target_node }) return node_map[entity_id] diff --git a/cognee/shared/utils.py b/cognee/shared/utils.py index a1792a2e..315e234f 100644 --- a/cognee/shared/utils.py +++ b/cognee/shared/utils.py @@ -17,7 +17,7 @@ import pathlib # Analytics Proxy Url, currently hosted by Vercel -vercel_url = "https://proxyanalytics.vercel.app" +proxy_url = "https://test.prometh.ai" def get_anonymous_id(): """Creates or reads a anonymous user id""" @@ -57,7 +57,7 @@ def send_telemetry(event_name: str, user_id, additional_properties: dict = {}): }, } - response = requests.post(vercel_url, json=payload) + response = requests.post(proxy_url, json=payload) if response.status_code != 200: print(f"Error sending telemetry through proxy: {response.status_code}") diff --git a/cognee/tests/test_milvus.py b/cognee/tests/test_milvus.py new file mode 100644 index 00000000..b32d3590 --- /dev/null +++ b/cognee/tests/test_milvus.py @@ -0,0 +1,84 @@ +import os +import logging +import pathlib +import cognee +from cognee.api.v1.search import SearchType + +logging.basicConfig(level=logging.DEBUG) + + +async def main(): + cognee.config.set_vector_db_provider("milvus") + data_directory_path = str( + pathlib.Path(os.path.join(pathlib.Path(__file__).parent, ".data_storage/test_milvus")).resolve()) + cognee.config.data_root_directory(data_directory_path) + cognee_directory_path = str( + pathlib.Path(os.path.join(pathlib.Path(__file__).parent, ".cognee_system/test_milvus")).resolve()) + cognee.config.system_root_directory(cognee_directory_path) + + cognee.config.set_vector_db_config( + { + "vector_db_url": os.path.join(cognee_directory_path, "databases/milvus.db"), + "vector_db_key": "", + "vector_db_provider": "milvus" + } + ) + + await cognee.prune.prune_data() + await cognee.prune.prune_system(metadata=True) + + dataset_name = "cs_explanations" + + explanation_file_path = os.path.join(pathlib.Path(__file__).parent, "test_data/Natural_language_processing.txt") + await cognee.add([explanation_file_path], dataset_name) + + text = """A quantum computer is a computer that takes advantage of quantum mechanical phenomena. + At small scales, physical matter exhibits properties of both particles and waves, and quantum computing leverages this behavior, specifically quantum superposition and entanglement, using specialized hardware that supports the preparation and manipulation of quantum states. + Classical physics cannot explain the operation of these quantum devices, and a scalable quantum computer could perform some calculations exponentially faster (with respect to input size scaling) than any modern "classical" computer. In particular, a large-scale quantum computer could break widely used encryption schemes and aid physicists in performing physical simulations; however, the current state of the technology is largely experimental and impractical, with several obstacles to useful applications. Moreover, scalable quantum computers do not hold promise for many practical tasks, and for many important tasks quantum speedups are proven impossible. + The basic unit of information in quantum computing is the qubit, similar to the bit in traditional digital electronics. Unlike a classical bit, a qubit can exist in a superposition of its two "basis" states. When measuring a qubit, the result is a probabilistic output of a classical bit, therefore making quantum computers nondeterministic in general. If a quantum computer manipulates the qubit in a particular way, wave interference effects can amplify the desired measurement results. The design of quantum algorithms involves creating procedures that allow a quantum computer to perform calculations efficiently and quickly. + Physically engineering high-quality qubits has proven challenging. If a physical qubit is not sufficiently isolated from its environment, it suffers from quantum decoherence, introducing noise into calculations. Paradoxically, perfectly isolating qubits is also undesirable because quantum computations typically need to initialize qubits, perform controlled qubit interactions, and measure the resulting quantum states. Each of those operations introduces errors and suffers from noise, and such inaccuracies accumulate. + In principle, a non-quantum (classical) computer can solve the same computational problems as a quantum computer, given enough time. Quantum advantage comes in the form of time complexity rather than computability, and quantum complexity theory shows that some quantum algorithms for carefully selected tasks require exponentially fewer computational steps than the best known non-quantum algorithms. Such tasks can in theory be solved on a large-scale quantum computer whereas classical computers would not finish computations in any reasonable amount of time. However, quantum speedup is not universal or even typical across computational tasks, since basic tasks such as sorting are proven to not allow any asymptotic quantum speedup. Claims of quantum supremacy have drawn significant attention to the discipline, but are demonstrated on contrived tasks, while near-term practical use cases remain limited. + """ + + await cognee.add([text], dataset_name) + + await cognee.cognify([dataset_name]) + + from cognee.infrastructure.databases.vector import get_vector_engine + vector_engine = get_vector_engine() + random_node = (await vector_engine.search("entity_name", "Quantum computer"))[0] + random_node_name = random_node.payload["text"] + + search_results = await cognee.search(SearchType.INSIGHTS, query_text=random_node_name) + assert len(search_results) != 0, "The search results list is empty." + print("\n\nExtracted INSIGHTS are:\n") + for result in search_results: + print(f"{result}\n") + + search_results = await cognee.search(SearchType.CHUNKS, query_text=random_node_name) + assert len(search_results) != 0, "The search results list is empty." + print("\n\nExtracted CHUNKS are:\n") + for result in search_results: + print(f"{result}\n") + + search_results = await cognee.search(SearchType.SUMMARIES, query_text=random_node_name) + assert len(search_results) != 0, "The search results list is empty." + print("\nExtracted SUMMARIES are:\n") + for result in search_results: + print(f"{result}\n") + + history = await cognee.get_search_history() + assert len(history) == 6, "Search history is not correct." + + await cognee.prune.prune_data() + assert not os.path.isdir(data_directory_path), "Local data files are not deleted" + + await cognee.prune.prune_system(metadata=True) + milvus_client = get_vector_engine().get_milvus_client() + collections = milvus_client.list_collections() + assert len(collections) == 0, "Milvus vector database is not empty" + + +if __name__ == "__main__": + import asyncio + asyncio.run(main()) diff --git a/cognee/tests/unit/interfaces/graph/conftest.py b/cognee/tests/unit/interfaces/graph/conftest.py deleted file mode 100644 index 45f977bd..00000000 --- a/cognee/tests/unit/interfaces/graph/conftest.py +++ /dev/null @@ -1,68 +0,0 @@ -from enum import Enum -from typing import Optional - -import pytest - -from cognee.infrastructure.engine import DataPoint - - -class CarTypeName(Enum): - Pickup = "Pickup" - Sedan = "Sedan" - SUV = "SUV" - Coupe = "Coupe" - Convertible = "Convertible" - Hatchback = "Hatchback" - Wagon = "Wagon" - Minivan = "Minivan" - Van = "Van" - - -class CarType(DataPoint): - id: str - name: CarTypeName - _metadata: dict = dict(index_fields=["name"]) - - -class Car(DataPoint): - id: str - brand: str - model: str - year: int - color: str - is_type: CarType - - -class Person(DataPoint): - id: str - name: str - age: int - owns_car: list[Car] - driving_license: Optional[dict] - _metadata: dict = dict(index_fields=["name"]) - - -@pytest.fixture(scope="function") -def boris(): - boris = Person( - id="boris", - name="Boris", - age=30, - owns_car=[ - Car( - id="car1", - brand="Toyota", - model="Camry", - year=2020, - color="Blue", - is_type=CarType(id="sedan", name=CarTypeName.Sedan), - ) - ], - driving_license={ - "issued_by": "PU Vrsac", - "issued_on": "2025-11-06", - "number": "1234567890", - "expires_on": "2025-11-06", - }, - ) - return boris diff --git a/cognee/tests/unit/interfaces/graph/get_graph_from_model_generative_test.py b/cognee/tests/unit/interfaces/graph/get_graph_from_model_generative_test.py deleted file mode 100644 index 73aa5972..00000000 --- a/cognee/tests/unit/interfaces/graph/get_graph_from_model_generative_test.py +++ /dev/null @@ -1,37 +0,0 @@ -import warnings - -import pytest - -from cognee.modules.graph.utils import get_graph_from_model -from cognee.tests.unit.interfaces.graph.util import ( - PERSON_NAMES, - count_society, - create_organization_recursive, -) - - -@pytest.mark.parametrize("recursive_depth", [1, 2, 3]) -async def test_society_nodes_and_edges(recursive_depth): - import sys - - if sys.version_info[0] == 3 and sys.version_info[1] >= 11: - society = create_organization_recursive( - "society", "Society", PERSON_NAMES, recursive_depth - ) - - n_organizations, n_persons = count_society(society) - society_counts_total = n_organizations + n_persons - - nodes, edges = await get_graph_from_model(society) - - assert ( - len(nodes) == society_counts_total - ), f"{society_counts_total = } != {len(nodes) = }, not all DataPoint instances were found" - - assert len(edges) == ( - len(nodes) - 1 - ), f"{(len(nodes) - 1) = } != {len(edges) = }, there have to be n_nodes - 1 edges, as each node has exactly one parent node, except for the root node" - else: - warnings.warn( - "The recursive pydantic data structure cannot be reconstructed from the graph because the 'inner' pydantic class is not defined. Hence this test is skipped. This problem is solved in Python 3.11" - ) diff --git a/cognee/tests/unit/interfaces/graph/get_graph_from_model_test.py b/cognee/tests/unit/interfaces/graph/get_graph_from_model_test.py deleted file mode 100644 index bed47625..00000000 --- a/cognee/tests/unit/interfaces/graph/get_graph_from_model_test.py +++ /dev/null @@ -1,89 +0,0 @@ -from cognee.modules.graph.utils import get_graph_from_model -from cognee.tests.unit.interfaces.graph.util import run_test_against_ground_truth - -CAR_SEDAN_EDGE = ( - "car1", - "sedan", - "is_type", - { - "source_node_id": "car1", - "target_node_id": "sedan", - "relationship_name": "is_type", - }, -) - - -BORIS_CAR_EDGE_GROUND_TRUTH = ( - "boris", - "car1", - "owns_car", - { - "source_node_id": "boris", - "target_node_id": "car1", - "relationship_name": "owns_car", - "metadata": {"type": "list"}, - }, -) - -CAR_TYPE_GROUND_TRUTH = {"id": "sedan"} - -CAR_GROUND_TRUTH = { - "id": "car1", - "brand": "Toyota", - "model": "Camry", - "year": 2020, - "color": "Blue", -} - -PERSON_GROUND_TRUTH = { - "id": "boris", - "name": "Boris", - "age": 30, - "driving_license": { - "issued_by": "PU Vrsac", - "issued_on": "2025-11-06", - "number": "1234567890", - "expires_on": "2025-11-06", - }, -} - - -async def test_extracted_car_type(boris): - nodes, _ = await get_graph_from_model(boris) - assert len(nodes) == 3 - car_type = nodes[0] - run_test_against_ground_truth("car_type", car_type, CAR_TYPE_GROUND_TRUTH) - - -async def test_extracted_car(boris): - nodes, _ = await get_graph_from_model(boris) - assert len(nodes) == 3 - car = nodes[1] - run_test_against_ground_truth("car", car, CAR_GROUND_TRUTH) - - -async def test_extracted_person(boris): - nodes, _ = await get_graph_from_model(boris) - assert len(nodes) == 3 - person = nodes[2] - run_test_against_ground_truth("person", person, PERSON_GROUND_TRUTH) - - -async def test_extracted_car_sedan_edge(boris): - _, edges = await get_graph_from_model(boris) - edge = edges[0] - - assert CAR_SEDAN_EDGE[:3] == edge[:3], f"{CAR_SEDAN_EDGE[:3] = } != {edge[:3] = }" - for key, ground_truth in CAR_SEDAN_EDGE[3].items(): - assert ground_truth == edge[3][key], f"{ground_truth = } != {edge[3][key] = }" - - -async def test_extracted_boris_car_edge(boris): - _, edges = await get_graph_from_model(boris) - edge = edges[1] - - assert ( - BORIS_CAR_EDGE_GROUND_TRUTH[:3] == edge[:3] - ), f"{BORIS_CAR_EDGE_GROUND_TRUTH[:3] = } != {edge[:3] = }" - for key, ground_truth in BORIS_CAR_EDGE_GROUND_TRUTH[3].items(): - assert ground_truth == edge[3][key], f"{ground_truth = } != {edge[3][key] = }" diff --git a/cognee/tests/unit/interfaces/graph/get_model_instance_from_graph_generative_test.py b/cognee/tests/unit/interfaces/graph/get_model_instance_from_graph_generative_test.py deleted file mode 100644 index 9f7462c8..00000000 --- a/cognee/tests/unit/interfaces/graph/get_model_instance_from_graph_generative_test.py +++ /dev/null @@ -1,33 +0,0 @@ -import warnings - -import pytest - -from cognee.modules.graph.utils import ( - get_graph_from_model, - get_model_instance_from_graph, -) -from cognee.tests.unit.interfaces.graph.util import ( - PERSON_NAMES, - create_organization_recursive, - show_first_difference, -) - - -@pytest.mark.parametrize("recursive_depth", [1, 2, 3]) -async def test_society_nodes_and_edges(recursive_depth): - import sys - - if sys.version_info[0] == 3 and sys.version_info[1] >= 11: - society = create_organization_recursive( - "society", "Society", PERSON_NAMES, recursive_depth - ) - nodes, edges = await get_graph_from_model(society) - parsed_society = get_model_instance_from_graph(nodes, edges, "society") - - assert str(society) == (str(parsed_society)), show_first_difference( - str(society), str(parsed_society), "society", "parsed_society" - ) - else: - warnings.warn( - "The recursive pydantic data structure cannot be reconstructed from the graph because the 'inner' pydantic class is not defined. Hence this test is skipped. This problem is solved in Python 3.11" - ) diff --git a/cognee/tests/unit/interfaces/graph/get_model_instance_from_graph_test.py b/cognee/tests/unit/interfaces/graph/get_model_instance_from_graph_test.py deleted file mode 100644 index 6bdaedca..00000000 --- a/cognee/tests/unit/interfaces/graph/get_model_instance_from_graph_test.py +++ /dev/null @@ -1,35 +0,0 @@ -from cognee.modules.graph.utils import ( - get_graph_from_model, - get_model_instance_from_graph, -) -from cognee.tests.unit.interfaces.graph.util import run_test_against_ground_truth - -PARSED_PERSON_GROUND_TRUTH = { - "id": "boris", - "name": "Boris", - "age": 30, - "driving_license": { - "issued_by": "PU Vrsac", - "issued_on": "2025-11-06", - "number": "1234567890", - "expires_on": "2025-11-06", - }, -} - -CAR_GROUND_TRUTH = { - "id": "car1", - "brand": "Toyota", - "model": "Camry", - "year": 2020, - "color": "Blue", -} - - -async def test_parsed_person(boris): - nodes, edges = await get_graph_from_model(boris) - parsed_person = get_model_instance_from_graph(nodes, edges, "boris") - - run_test_against_ground_truth( - "parsed_person", parsed_person, PARSED_PERSON_GROUND_TRUTH - ) - run_test_against_ground_truth("car", parsed_person.owns_car[0], CAR_GROUND_TRUTH) diff --git a/cognee/tests/unit/interfaces/graph/util.py b/cognee/tests/unit/interfaces/graph/util.py deleted file mode 100644 index a20bdb3e..00000000 --- a/cognee/tests/unit/interfaces/graph/util.py +++ /dev/null @@ -1,150 +0,0 @@ -import random -import string -from datetime import datetime, timezone -from typing import Any, Dict, Optional - -from cognee.infrastructure.engine import DataPoint - - -def run_test_against_ground_truth( - test_target_item_name: str, test_target_item: Any, ground_truth_dict: Dict[str, Any] -): - """Validates test target item attributes against ground truth values. - - Args: - test_target_item_name: Name of the item being tested (for error messages) - test_target_item: Object whose attributes are being validated - ground_truth_dict: Dictionary containing expected values - - Raises: - AssertionError: If any attribute doesn't match ground truth or if update timestamp is too old - """ - for key, ground_truth in ground_truth_dict.items(): - if isinstance(ground_truth, dict): - for key2, ground_truth2 in ground_truth.items(): - assert ( - ground_truth2 == getattr(test_target_item, key)[key2] - ), f"{test_target_item_name}/{key = }/{key2 = }: {ground_truth2 = } != {getattr(test_target_item, key)[key2] = }" - elif isinstance(ground_truth, list): - raise NotImplementedError("Currently not implemented for 'list'") - else: - assert ground_truth == getattr( - test_target_item, key - ), f"{test_target_item_name}/{key = }: {ground_truth = } != {getattr(test_target_item, key) = }" - time_delta = datetime.now(timezone.utc) - getattr(test_target_item, "updated_at") - - assert time_delta.total_seconds() < 60, f"{ time_delta.total_seconds() = }" - - -class Organization(DataPoint): - id: str - name: str - members: Optional[list["SocietyPerson"]] - - -class SocietyPerson(DataPoint): - id: str - name: str - memberships: Optional[list[Organization]] - - -SocietyPerson.model_rebuild() -Organization.model_rebuild() - - -ORGANIZATION_NAMES = [ - "ChessClub", - "RowingClub", - "TheatreTroupe", - "PoliticalParty", - "Charity", - "FanClub", - "FilmClub", - "NeighborhoodGroup", - "LocalCouncil", - "Band", -] -PERSON_NAMES = ["Sarah", "Anna", "John", "Sam"] - - -def create_society_person_recursive(id, name, organization_names, max_depth, depth=0): - id_suffix = "".join(random.choice(string.ascii_lowercase) for _ in range(10)) - - if depth < max_depth: - memberships = [ - create_organization_recursive( - f"{org_name}-{depth}-{id_suffix}", - org_name.lower(), - PERSON_NAMES, - max_depth, - depth + 1, - ) - for org_name in organization_names - ] - else: - memberships = None - - return SocietyPerson(id=id, name=f"{name}{depth}", memberships=memberships) - - -def create_organization_recursive(id, name, member_names, max_depth, depth=0): - id_suffix = "".join(random.choice(string.ascii_lowercase) for _ in range(10)) - - if depth < max_depth: - members = [ - create_society_person_recursive( - f"{member_name}-{depth}-{id_suffix}", - member_name.lower(), - ORGANIZATION_NAMES, - max_depth, - depth + 1, - ) - for member_name in member_names - ] - else: - members = None - - return Organization(id=id, name=f"{name}{depth}", members=members) - - -def count_society(obj): - if isinstance(obj, SocietyPerson): - if obj.memberships is not None: - organization_counts, society_person_counts = zip( - *[count_society(organization) for organization in obj.memberships] - ) - organization_count = sum(organization_counts) - society_person_count = sum(society_person_counts) + 1 - return (organization_count, society_person_count) - else: - return (0, 1) - if isinstance(obj, Organization): - if obj.members is not None: - organization_counts, society_person_counts = zip( - *[count_society(organization) for organization in obj.members] - ) - organization_count = sum(organization_counts) + 1 - society_person_count = sum(society_person_counts) - return (organization_count, society_person_count) - else: - return (1, 0) - else: - raise Exception("Not allowed") - - -def show_first_difference(str1, str2, str1_name, str2_name, context=30): - for i, (c1, c2) in enumerate(zip(str1, str2)): - if c1 != c2: - start = max(0, i - context) - end1 = min(len(str1), i + context + 1) - end2 = min(len(str2), i + context + 1) - if i > 0: - return f"identical: '{str1[start:i-1]}' | {str1_name}: '{str1[i-1:end1]}'... != {str2_name}: '{str2[i-1:end2]}'..." - else: - return f"{str1_name} and {str2_name} have no overlap in characters" - if len(str1) > len(str2): - return f"{str2_name} is identical up to the {i}th character, missing afterwards '{str1[i:i+context]}'..." - if len(str2) > len(str1): - return f"{str1_name} is identical up to the {i}th character, missing afterwards '{str2[i:i+context]}'..." - else: - return f"{str1_name} and {str2_name} are identical." diff --git a/evals/eval_swe_bench.py b/evals/eval_swe_bench.py index 9cd67942..ee13c92e 100644 --- a/evals/eval_swe_bench.py +++ b/evals/eval_swe_bench.py @@ -7,20 +7,19 @@ from swebench.harness.utils import load_swebench_dataset from swebench.inference.make_datasets.create_instance import PATCH_EXAMPLE -import cognee from cognee.api.v1.search import SearchType from cognee.infrastructure.llm.get_llm_client import get_llm_client from cognee.infrastructure.llm.prompts import read_query_prompt from cognee.modules.pipelines import Task, run_tasks from cognee.modules.retrieval.brute_force_triplet_search import \ brute_force_triplet_search -from cognee.shared.data_models import SummarizedContent +# from cognee.shared.data_models import SummarizedContent from cognee.shared.utils import render_graph from cognee.tasks.repo_processor import (enrich_dependency_graph, expand_dependency_graph, get_repo_file_dependencies) from cognee.tasks.storage import add_data_points -from cognee.tasks.summarization import summarize_code +# from cognee.tasks.summarization import summarize_code from evals.eval_utils import download_github_repo, retrieved_edges_to_string @@ -43,8 +42,21 @@ def check_install_package(package_name): async def generate_patch_with_cognee(instance, llm_client, search_type=SearchType.CHUNKS): + import os + import pathlib + import cognee + from cognee.infrastructure.databases.relational import create_db_and_tables + + file_path = Path(__file__).parent + data_directory_path = str(pathlib.Path(os.path.join(file_path, ".data_storage/code_graph")).resolve()) + cognee.config.data_root_directory(data_directory_path) + cognee_directory_path = str(pathlib.Path(os.path.join(file_path, ".cognee_system/code_graph")).resolve()) + cognee.config.system_root_directory(cognee_directory_path) + await cognee.prune.prune_data() - await cognee.prune.prune_system() + await cognee.prune.prune_system(metadata = True) + + await create_db_and_tables() # repo_path = download_github_repo(instance, '../RAW_GIT_REPOS') diff --git a/notebooks/cognee_code_graph_demo.ipynb b/notebooks/cognee_code_graph_demo.ipynb index 5e21e9da..f5735dcb 100644 --- a/notebooks/cognee_code_graph_demo.ipynb +++ b/notebooks/cognee_code_graph_demo.ipynb @@ -17,21 +17,21 @@ "metadata": {}, "outputs": [], "source": [ - "from cognee.modules.users.methods import get_default_user\n", - "\n", - "from cognee.modules.data.methods import get_datasets\n", - "from cognee.modules.data.methods.get_dataset_data import get_dataset_data\n", - "from cognee.modules.data.models import Data\n", + "import os\n", + "import pathlib\n", + "import cognee\n", + "from cognee.infrastructure.databases.relational import create_db_and_tables\n", "\n", - "from cognee.modules.pipelines.tasks.Task import Task\n", - "from cognee.tasks.documents import classify_documents, check_permissions_on_documents, extract_chunks_from_documents\n", - "from cognee.tasks.graph import extract_graph_from_code\n", - "from cognee.tasks.storage import add_data_points\n", - "from cognee.shared.SourceCodeGraph import SourceCodeGraph\n", + "notebook_path = os.path.abspath(\"\")\n", + "data_directory_path = str(pathlib.Path(os.path.join(notebook_path, \".data_storage/code_graph\")).resolve())\n", + "cognee.config.data_root_directory(data_directory_path)\n", + "cognee_directory_path = str(pathlib.Path(os.path.join(notebook_path, \".cognee_system/code_graph\")).resolve())\n", + "cognee.config.system_root_directory(cognee_directory_path)\n", "\n", - "from cognee.modules.pipelines import run_tasks\n", + "await cognee.prune.prune_data()\n", + "await cognee.prune.prune_system(metadata = True)\n", "\n", - "from cognee.shared.utils import render_graph\n" + "await create_db_and_tables()" ] }, { @@ -40,23 +40,22 @@ "metadata": {}, "outputs": [], "source": [ - "user = await get_default_user()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "existing_datasets = await get_datasets(user.id)\n", + "from os import path\n", + "from pathlib import Path\n", + "from cognee.infrastructure.files.storage import LocalStorage\n", + "import git\n", + "\n", + "notebook_path = path.abspath(\"\")\n", + "repo_clone_location = path.join(notebook_path, \"data/graphrag\")\n", + "\n", + "LocalStorage.remove_all(repo_clone_location)\n", "\n", - "datasets = {}\n", - "for dataset in existing_datasets:\n", - " dataset_name = dataset.name.replace(\".\", \"_\").replace(\" \", \"_\")\n", - " data_documents: list[Data] = await get_dataset_data(dataset_id = dataset.id)\n", - " datasets[dataset_name] = data_documents\n", - "print(datasets.keys())" + "git.Repo.clone_from(\n", + " \"git@github.com:microsoft/graphrag.git\",\n", + " Path(repo_clone_location),\n", + " branch = \"main\",\n", + " single_branch = True,\n", + ")" ] }, { @@ -65,12 +64,16 @@ "metadata": {}, "outputs": [], "source": [ + "from cognee.tasks.repo_processor import enrich_dependency_graph, expand_dependency_graph, get_repo_file_dependencies\n", + "from cognee.tasks.storage import add_data_points\n", + "from cognee.modules.pipelines.tasks.Task import Task\n", + "\n", "tasks = [\n", - " Task(classify_documents),\n", - " Task(check_permissions_on_documents, user = user, permissions = [\"write\"]),\n", - " Task(extract_chunks_from_documents), # Extract text chunks based on the document type.\n", - " Task(add_data_points, task_config = { \"batch_size\": 10 }),\n", - " Task(extract_graph_from_code, graph_model = SourceCodeGraph, task_config = { \"batch_size\": 10 }), # Generate knowledge graphs from the document chunks.\n", + " Task(get_repo_file_dependencies),\n", + " Task(add_data_points, task_config = { \"batch_size\": 50 }),\n", + " Task(enrich_dependency_graph, task_config = { \"batch_size\": 50 }),\n", + " Task(expand_dependency_graph, task_config = { \"batch_size\": 50 }),\n", + " Task(add_data_points, task_config = { \"batch_size\": 50 }),\n", "]" ] }, @@ -80,21 +83,15 @@ "metadata": {}, "outputs": [], "source": [ - "async def run_codegraph_pipeline(tasks, data_documents):\n", - " pipeline = run_tasks(tasks, data_documents, \"code_graph_pipeline\")\n", - " results = []\n", - " async for result in pipeline:\n", - " results.append(result)\n", - " return(results)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results = await run_codegraph_pipeline(tasks, datasets[\"main_dataset\"])" + "from cognee.modules.pipelines import run_tasks\n", + "\n", + "notebook_path = os.path.abspath(\"\")\n", + "repo_clone_location = os.path.join(notebook_path, \"data/graphrag\")\n", + "\n", + "pipeline = run_tasks(tasks, repo_clone_location, \"code_graph_pipeline\")\n", + "\n", + "async for result in pipeline:\n", + " print(result)" ] }, { @@ -103,6 +100,7 @@ "metadata": {}, "outputs": [], "source": [ + "from cognee.shared.utils import render_graph\n", "await render_graph(None, include_nodes = True, include_labels = True)" ] }, @@ -116,7 +114,7 @@ ], "metadata": { "kernelspec": { - "display_name": "cognee", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -130,7 +128,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.10" + "version": "3.11.8" } }, "nbformat": 4, diff --git a/poetry.lock b/poetry.lock index 9b309de5..f1f90005 100644 --- a/poetry.lock +++ b/poetry.lock @@ -247,7 +247,7 @@ trio = ["trio (>=0.26.1)"] name = "appnope" version = "0.1.4" description = "Disable App Nap on macOS >= 10.9" -optional = false +optional = true python-versions = ">=3.6" files = [ {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, @@ -315,7 +315,7 @@ tests = ["pytest"] name = "arrow" version = "1.3.0" description = "Better dates & times for Python" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"}, @@ -348,7 +348,7 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""} name = "asttokens" version = "3.0.0" description = "Annotate AST trees with source code positions" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"}, @@ -363,7 +363,7 @@ test = ["astroid (>=2,<4)", "pytest", "pytest-cov", "pytest-xdist"] name = "async-lru" version = "2.0.4" description = "Simple LRU cache for asyncio" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "async-lru-2.0.4.tar.gz", hash = "sha256:b8a59a5df60805ff63220b2a0c5b5393da5521b113cd5465a44eb037d81a5627"}, @@ -388,7 +388,7 @@ files = [ name = "asyncpg" version = "0.30.0" description = "An asyncio PostgreSQL driver" -optional = false +optional = true python-versions = ">=3.8.0" files = [ {file = "asyncpg-0.30.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bfb4dd5ae0699bad2b233672c8fc5ccbd9ad24b89afded02341786887e37927e"}, @@ -473,7 +473,7 @@ tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"] name = "authlib" version = "1.3.2" description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients." -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "Authlib-1.3.2-py2.py3-none-any.whl", hash = "sha256:ede026a95e9f5cdc2d4364a52103f5405e75aa156357e831ef2bfd0bc5094dfc"}, @@ -501,7 +501,7 @@ dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"] name = "backoff" version = "2.2.1" description = "Function decoration for backoff and retry" -optional = false +optional = true python-versions = ">=3.7,<4.0" files = [ {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"}, @@ -550,7 +550,7 @@ typecheck = ["mypy"] name = "beautifulsoup4" version = "4.12.3" description = "Screen-scraping library" -optional = false +optional = true python-versions = ">=3.6.0" files = [ {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"}, @@ -571,7 +571,7 @@ lxml = ["lxml"] name = "bleach" version = "6.2.0" description = "An easy safelist-based HTML-sanitizing tool." -optional = false +optional = true python-versions = ">=3.9" files = [ {file = "bleach-6.2.0-py3-none-any.whl", hash = "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e"}, @@ -586,17 +586,17 @@ css = ["tinycss2 (>=1.1.0,<1.5)"] [[package]] name = "boto3" -version = "1.35.73" +version = "1.35.74" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.35.73-py3-none-any.whl", hash = "sha256:473438feafe77d29fbea532a91a65de0d8751a4fa5822127218710a205e28e7a"}, - {file = "boto3-1.35.73.tar.gz", hash = "sha256:ccb1a365d3084de53b58f8dfc056462f49b16931c139f4c8ac5f0bca8cb8fe81"}, + {file = "boto3-1.35.74-py3-none-any.whl", hash = "sha256:dab5bddbbe57dc707b6f6a1f25dc2823b8e234b6fe99fafef7fc406ab73031b9"}, + {file = "boto3-1.35.74.tar.gz", hash = "sha256:88370c6845ba71a4dae7f6b357099df29b3965da584be040c8e72c9902bc9492"}, ] [package.dependencies] -botocore = ">=1.35.73,<1.36.0" +botocore = ">=1.35.74,<1.36.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -605,13 +605,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.35.73" +version = "1.35.74" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">=3.8" files = [ - {file = "botocore-1.35.73-py3-none-any.whl", hash = "sha256:8a6a0f5ad119e38d850571df8c625dbad66aec1b20c15f84cdcb95258f9f1edb"}, - {file = "botocore-1.35.73.tar.gz", hash = "sha256:b2e3ecdd1769f011f72c4c0d0094570ba125f4ca327f24269e4d68eb5d9878b9"}, + {file = "botocore-1.35.74-py3-none-any.whl", hash = "sha256:9ac9d33d84dd9f05b35085de081552342a2c9ae22e3c4ee105723c9e92c07bd9"}, + {file = "botocore-1.35.74.tar.gz", hash = "sha256:de5c4fa9a24cef3a758974857b5c5820a12fad345ebf33c052a5988e88f33634"}, ] [package.dependencies] @@ -869,7 +869,7 @@ files = [ name = "comm" version = "0.2.2" description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc." -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3"}, @@ -1206,7 +1206,7 @@ files = [ name = "decorator" version = "5.1.1" description = "Decorators for Humans" -optional = false +optional = true python-versions = ">=3.5" files = [ {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"}, @@ -1256,7 +1256,7 @@ dev = ["black"] name = "defusedxml" version = "0.7.1" description = "XML bomb protection for Python stdlib modules" -optional = false +optional = true python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" files = [ {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, @@ -1514,7 +1514,7 @@ testing = ["hatch", "pre-commit", "pytest", "tox"] name = "executing" version = "2.1.0" description = "Get the currently executing AST node of a frame, and other information" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "executing-2.1.0-py2.py3-none-any.whl", hash = "sha256:8d63781349375b5ebccc3142f4b30350c0cd9c79f921cde38be2be4637e98eaf"}, @@ -1528,7 +1528,7 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth name = "falkordb" version = "1.0.9" description = "Python client for interacting with FalkorDB database" -optional = false +optional = true python-versions = "<4.0,>=3.8" files = [ {file = "falkordb-1.0.9.tar.gz", hash = "sha256:177008e63c7e4d9ebbdfeb8cad24b0e49175bb0f6e96cac9b4ffb641c0eff0f1"}, @@ -1601,7 +1601,7 @@ sqlalchemy = {version = ">=2.0.0,<2.1.0", extras = ["asyncio"]} name = "fastjsonschema" version = "2.21.1" description = "Fastest Python implementation of JSON schema" -optional = false +optional = true python-versions = "*" files = [ {file = "fastjsonschema-2.21.1-py3-none-any.whl", hash = "sha256:c9e5b7e908310918cf494a434eeb31384dd84a98b57a30bcb1f535015b554667"}, @@ -1715,7 +1715,7 @@ woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"] name = "fqdn" version = "1.5.1" description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers" -optional = false +optional = true python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4" files = [ {file = "fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014"}, @@ -2084,7 +2084,7 @@ colorama = ">=0.4" name = "groq" version = "0.8.0" description = "The official Python library for the groq API" -optional = false +optional = true python-versions = ">=3.7" files = [ {file = "groq-0.8.0-py3-none-any.whl", hash = "sha256:f5e4e892d45001241a930db451e633ca1f0007e3f749deaa5d7360062fcd61e3"}, @@ -2103,7 +2103,7 @@ typing-extensions = ">=4.7,<5" name = "grpcio" version = "1.60.1" description = "HTTP/2-based RPC framework" -optional = false +optional = true python-versions = ">=3.7" files = [ {file = "grpcio-1.60.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:14e8f2c84c0832773fb3958240c69def72357bc11392571f87b2d7b91e0bb092"}, @@ -2169,7 +2169,7 @@ protobuf = ["grpcio-tools (>=1.60.1)"] name = "grpcio-health-checking" version = "1.60.1" description = "Standard Health Checking Service for gRPC" -optional = false +optional = true python-versions = ">=3.6" files = [ {file = "grpcio-health-checking-1.60.1.tar.gz", hash = "sha256:7c2e48ce9d5bdb19ad57b7abe3438d47ebdead507866939140720b3e28c625b3"}, @@ -2184,7 +2184,7 @@ protobuf = ">=4.21.6" name = "grpcio-tools" version = "1.60.1" description = "Protobuf code generator for gRPC" -optional = false +optional = true python-versions = ">=3.7" files = [ {file = "grpcio-tools-1.60.1.tar.gz", hash = "sha256:da08224ab8675c6d464b988bd8ca02cccd2bf0275bceefe8f6219bfd4a4f5e85"}, @@ -2283,7 +2283,7 @@ files = [ name = "h2" version = "4.1.0" description = "HTTP/2 State-Machine based protocol implementation" -optional = false +optional = true python-versions = ">=3.6.1" files = [ {file = "h2-4.1.0-py3-none-any.whl", hash = "sha256:03a46bcf682256c95b5fd9e9a99c1323584c3eec6440d379b9903d709476bc6d"}, @@ -2314,7 +2314,7 @@ test = ["eth-utils (>=2.0.0)", "hypothesis (>=3.44.24,<=6.31.6)", "pytest (>=7.0 name = "hpack" version = "4.0.0" description = "Pure-Python HPACK header compression" -optional = false +optional = true python-versions = ">=3.6.1" files = [ {file = "hpack-4.0.0-py3-none-any.whl", hash = "sha256:84a076fad3dc9a9f8063ccb8041ef100867b1878b25ef0ee63847a5d53818a6c"}, @@ -2440,7 +2440,7 @@ tests = ["freezegun", "pytest", "pytest-cov"] name = "hyperframe" version = "6.0.1" description = "HTTP/2 framing layer for Python" -optional = false +optional = true python-versions = ">=3.6.1" files = [ {file = "hyperframe-6.0.1-py3-none-any.whl", hash = "sha256:0ec6bafd80d8ad2195c4f03aacba3a8265e57bc4cff261e802bf39970ed02a15"}, @@ -2550,7 +2550,7 @@ vertexai = ["google-cloud-aiplatform (>=1.53.0,<2.0.0)", "jsonref (>=1.1.0,<2.0. name = "ipykernel" version = "6.29.5" description = "IPython Kernel for Jupyter" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5"}, @@ -2583,7 +2583,7 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio name = "ipython" version = "8.18.1" description = "IPython: Productive Interactive Computing" -optional = false +optional = true python-versions = ">=3.9" files = [ {file = "ipython-8.18.1-py3-none-any.whl", hash = "sha256:e8267419d72d81955ec1177f8a29aaa90ac80ad647499201119e2f05e99aa397"}, @@ -2620,7 +2620,7 @@ test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.22)", "pa name = "isoduration" version = "20.11.0" description = "Operations with ISO 8601 durations" -optional = false +optional = true python-versions = ">=3.7" files = [ {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"}, @@ -2648,7 +2648,7 @@ colors = ["colorama (>=0.4.6)"] name = "jedi" version = "0.19.2" description = "An autocompletion tool for Python that can be used for text editors." -optional = false +optional = true python-versions = ">=3.6" files = [ {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"}, @@ -2786,7 +2786,7 @@ files = [ name = "json5" version = "0.10.0" description = "A Python implementation of the JSON5 data format." -optional = false +optional = true python-versions = ">=3.8.0" files = [ {file = "json5-0.10.0-py3-none-any.whl", hash = "sha256:19b23410220a7271e8377f81ba8aacba2fdd56947fbb137ee5977cbe1f5e8dfa"}, @@ -2800,7 +2800,7 @@ dev = ["build (==1.2.2.post1)", "coverage (==7.5.3)", "mypy (==1.13.0)", "pip (= name = "jsonpatch" version = "1.33" description = "Apply JSON-Patches (RFC 6902)" -optional = false +optional = true python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*" files = [ {file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"}, @@ -2827,7 +2827,7 @@ ply = "*" name = "jsonpointer" version = "3.0.0" description = "Identify specific nodes in a JSON document (RFC 6901)" -optional = false +optional = true python-versions = ">=3.7" files = [ {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"}, @@ -2881,7 +2881,7 @@ referencing = ">=0.31.0" name = "jupyter-client" version = "8.6.3" description = "Jupyter protocol implementation and client libraries" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "jupyter_client-8.6.3-py3-none-any.whl", hash = "sha256:e8a19cc986cc45905ac3362915f410f3af85424b4c0905e94fa5f2cb08e8f23f"}, @@ -2904,7 +2904,7 @@ test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pyt name = "jupyter-core" version = "5.7.2" description = "Jupyter core package. A base package on which Jupyter projects rely." -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409"}, @@ -2924,7 +2924,7 @@ test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout" name = "jupyter-events" version = "0.10.0" description = "Jupyter Event System library" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "jupyter_events-0.10.0-py3-none-any.whl", hash = "sha256:4b72130875e59d57716d327ea70d3ebc3af1944d3717e5a498b8a06c6c159960"}, @@ -2949,7 +2949,7 @@ test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "p name = "jupyter-lsp" version = "2.2.5" description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "jupyter-lsp-2.2.5.tar.gz", hash = "sha256:793147a05ad446f809fd53ef1cd19a9f5256fd0a2d6b7ce943a982cb4f545001"}, @@ -2964,7 +2964,7 @@ jupyter-server = ">=1.1.2" name = "jupyter-server" version = "2.14.2" description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications." -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "jupyter_server-2.14.2-py3-none-any.whl", hash = "sha256:47ff506127c2f7851a17bf4713434208fc490955d0e8632e95014a9a9afbeefd"}, @@ -3000,7 +3000,7 @@ test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0,<9)", "pytest-console name = "jupyter-server-terminals" version = "0.5.3" description = "A Jupyter Server Extension Providing Terminals." -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "jupyter_server_terminals-0.5.3-py3-none-any.whl", hash = "sha256:41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa"}, @@ -3019,7 +3019,7 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (> name = "jupyterlab" version = "4.2.6" description = "JupyterLab computational environment" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "jupyterlab-4.2.6-py3-none-any.whl", hash = "sha256:78dd42cae5b460f377624b03966a8730e3b0692102ddf5933a2a3730c1bc0a20"}, @@ -3054,7 +3054,7 @@ upgrade-extension = ["copier (>=9,<10)", "jinja2-time (<0.3)", "pydantic (<3.0)" name = "jupyterlab-pygments" version = "0.3.0" description = "Pygments theme using JupyterLab CSS variables" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"}, @@ -3065,7 +3065,7 @@ files = [ name = "jupyterlab-server" version = "2.27.3" description = "A set of server components for JupyterLab and JupyterLab like applications." -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "jupyterlab_server-2.27.3-py3-none-any.whl", hash = "sha256:e697488f66c3db49df675158a77b3b017520d772c6e1548c7d9bcc5df7944ee4"}, @@ -3297,7 +3297,7 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10" name = "langchain-core" version = "0.3.21" description = "Building applications with LLMs through composability" -optional = false +optional = true python-versions = "<4.0,>=3.9" files = [ {file = "langchain_core-0.3.21-py3-none-any.whl", hash = "sha256:7e723dff80946a1198976c6876fea8326dc82566ef9bcb5f8d9188f738733665"}, @@ -3333,7 +3333,7 @@ tiktoken = ">=0.7,<1" name = "langchain-text-splitters" version = "0.3.2" description = "LangChain text splitting utilities" -optional = false +optional = true python-versions = "<4.0,>=3.9" files = [ {file = "langchain_text_splitters-0.3.2-py3-none-any.whl", hash = "sha256:0db28c53f41d1bc024cdb3b1646741f6d46d5371e90f31e7e7c9fbe75d01c726"}, @@ -3361,7 +3361,7 @@ six = "*" name = "langfuse" version = "2.55.0" description = "A client library for accessing langfuse" -optional = false +optional = true python-versions = "<4.0,>=3.9" files = [ {file = "langfuse-2.55.0-py3-none-any.whl", hash = "sha256:c902894b50befdd8639e5b0d78ca79f8b5d391bae2c3f0889a1f47ea59d795ad"}, @@ -3387,7 +3387,7 @@ openai = ["openai (>=0.27.8)"] name = "langsmith" version = "0.1.139" description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." -optional = false +optional = true python-versions = "<4.0,>=3.8.1" files = [ {file = "langsmith-0.1.139-py3-none-any.whl", hash = "sha256:2a4a541bfbd0a9727255df28a60048c85bc8c4c6a276975923785c3fd82dc879"}, @@ -3477,13 +3477,13 @@ files = [ [[package]] name = "mako" -version = "1.3.6" +version = "1.3.7" description = "A super-fast templating language that borrows the best ideas from the existing templating languages." optional = false python-versions = ">=3.8" files = [ - {file = "Mako-1.3.6-py3-none-any.whl", hash = "sha256:a91198468092a2f1a0de86ca92690fb0cfc43ca90ee17e15d93662b4c04b241a"}, - {file = "mako-1.3.6.tar.gz", hash = "sha256:9ec3a1583713479fae654f83ed9fa8c9a4c16b7bb0daba0e6bbebff50c0d983d"}, + {file = "Mako-1.3.7-py3-none-any.whl", hash = "sha256:d18f990ad57f800ce8e76cbfb0b74afe471c293517e9f5003ace6dad5aa72c36"}, + {file = "mako-1.3.7.tar.gz", hash = "sha256:20405b1232e0759f0e7d87b01f6bb94fce0761747f1cb876ecf90bd512d0b639"}, ] [package.dependencies] @@ -3694,7 +3694,7 @@ dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6,!=2.13.3)", name = "matplotlib-inline" version = "0.1.7" description = "Inline Matplotlib backend for Jupyter" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"}, @@ -3737,11 +3737,27 @@ files = [ {file = "mergedeep-1.3.4.tar.gz", hash = "sha256:0096d52e9dad9939c3d975a774666af186eda617e6ca84df4c94dec30004f2a8"}, ] +[[package]] +name = "milvus-lite" +version = "2.4.10" +description = "A lightweight version of Milvus wrapped with Python." +optional = true +python-versions = ">=3.7" +files = [ + {file = "milvus_lite-2.4.10-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:fc4246d3ed7d1910847afce0c9ba18212e93a6e9b8406048436940578dfad5cb"}, + {file = "milvus_lite-2.4.10-py3-none-macosx_11_0_arm64.whl", hash = "sha256:74a8e07c5e3b057df17fbb46913388e84df1dc403a200f4e423799a58184c800"}, + {file = "milvus_lite-2.4.10-py3-none-manylinux2014_aarch64.whl", hash = "sha256:240c7386b747bad696ecb5bd1f58d491e86b9d4b92dccee3315ed7256256eddc"}, + {file = "milvus_lite-2.4.10-py3-none-manylinux2014_x86_64.whl", hash = "sha256:211d2e334a043f9282bdd9755f76b9b2d93b23bffa7af240919ffce6a8dfe325"}, +] + +[package.dependencies] +tqdm = "*" + [[package]] name = "mistune" version = "3.0.2" description = "A sane and fast Markdown parser with useful plugins and renderers" -optional = false +optional = true python-versions = ">=3.7" files = [ {file = "mistune-3.0.2-py3-none-any.whl", hash = "sha256:71481854c30fdbc938963d3605b72501f5c10a9320ecd412c121c163a1c7d205"}, @@ -3918,7 +3934,7 @@ mkdocstrings = ">=0.26" name = "monotonic" version = "1.6" description = "An implementation of time.monotonic() for Python 2 & < 3.3" -optional = false +optional = true python-versions = "*" files = [ {file = "monotonic-1.6-py2.py3-none-any.whl", hash = "sha256:68687e19a14f11f26d140dd5c86f3dba4bf5df58003000ed467e0e2a69bca96c"}, @@ -4121,7 +4137,7 @@ files = [ name = "nbclient" version = "0.10.1" description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor." -optional = false +optional = true python-versions = ">=3.8.0" files = [ {file = "nbclient-0.10.1-py3-none-any.whl", hash = "sha256:949019b9240d66897e442888cfb618f69ef23dc71c01cb5fced8499c2cfc084d"}, @@ -4143,7 +4159,7 @@ test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>= name = "nbconvert" version = "7.16.4" description = "Converting Jupyter Notebooks (.ipynb files) to other formats. Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script. nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)." -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "nbconvert-7.16.4-py3-none-any.whl", hash = "sha256:05873c620fe520b6322bf8a5ad562692343fe3452abda5765c7a34b7d1aa3eb3"}, @@ -4181,7 +4197,7 @@ webpdf = ["playwright"] name = "nbformat" version = "5.10.4" description = "The Jupyter Notebook format" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b"}, @@ -4202,7 +4218,7 @@ test = ["pep440", "pre-commit", "pytest", "testpath"] name = "neo4j" version = "5.27.0" description = "Neo4j Bolt driver for Python" -optional = false +optional = true python-versions = ">=3.7" files = [ {file = "neo4j-5.27.0-py3-none-any.whl", hash = "sha256:929c14b9e5341267324eca170b39d1798b032bffacc26a0529eacaf678ae483f"}, @@ -4275,7 +4291,7 @@ twitter = ["twython"] name = "notebook" version = "7.2.2" description = "Jupyter Notebook - A web-based notebook environment for interactive computing" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "notebook-7.2.2-py3-none-any.whl", hash = "sha256:c89264081f671bc02eec0ed470a627ed791b9156cad9285226b31611d3e9fe1c"}, @@ -4298,7 +4314,7 @@ test = ["importlib-resources (>=5.0)", "ipykernel", "jupyter-server[test] (>=2.4 name = "notebook-shim" version = "0.2.4" description = "A shim layer for notebook traits and config" -optional = false +optional = true python-versions = ">=3.7" files = [ {file = "notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef"}, @@ -4659,8 +4675,8 @@ files = [ [package.dependencies] numpy = [ {version = ">=1.20.3", markers = "python_version < \"3.10\""}, - {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, {version = ">=1.23.2", markers = "python_version >= \"3.11\""}, + {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -4693,7 +4709,7 @@ xml = ["lxml (>=4.6.3)"] name = "pandocfilters" version = "1.5.1" description = "Utilities for writing pandoc filters in python" -optional = false +optional = true python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" files = [ {file = "pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc"}, @@ -4704,7 +4720,7 @@ files = [ name = "parso" version = "0.8.4" description = "A Python Parser" -optional = false +optional = true python-versions = ">=3.6" files = [ {file = "parso-0.8.4-py2.py3-none-any.whl", hash = "sha256:a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18"}, @@ -4845,7 +4861,7 @@ test = ["time-machine (>=2.6.0)"] name = "pexpect" version = "4.9.0" description = "Pexpect allows easy control of interactive console applications." -optional = false +optional = true python-versions = "*" files = [ {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"}, @@ -4859,7 +4875,7 @@ ptyprocess = ">=0.5" name = "pgvector" version = "0.3.6" description = "pgvector support for Python" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "pgvector-0.3.6-py3-none-any.whl", hash = "sha256:f6c269b3c110ccb7496bac87202148ed18f34b390a0189c783e351062400a75a"}, @@ -5007,7 +5023,7 @@ files = [ name = "portalocker" version = "2.10.1" description = "Wraps the portalocker recipe for easy usage" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "portalocker-2.10.1-py3-none-any.whl", hash = "sha256:53a5984ebc86a025552264b459b46a2086e269b21823cb572f8f28ee759e45bf"}, @@ -5026,7 +5042,7 @@ tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "p name = "posthog" version = "3.7.4" description = "Integrate PostHog into any python application." -optional = false +optional = true python-versions = "*" files = [ {file = "posthog-3.7.4-py2.py3-none-any.whl", hash = "sha256:21c18c6bf43b2de303ea4cd6e95804cc0f24c20cb2a96a8fd09da2ed50b62faa"}, @@ -5049,7 +5065,7 @@ test = ["coverage", "django", "flake8", "freezegun (==0.3.15)", "mock (>=2.0.0)" name = "prometheus-client" version = "0.21.1" description = "Python client for the Prometheus monitoring system." -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "prometheus_client-0.21.1-py3-none-any.whl", hash = "sha256:594b45c410d6f4f8888940fe80b5cc2521b305a1fafe1c58609ef715a001f301"}, @@ -5063,7 +5079,7 @@ twisted = ["twisted"] name = "prompt-toolkit" version = "3.0.48" description = "Library for building powerful interactive command lines in Python" -optional = false +optional = true python-versions = ">=3.7.0" files = [ {file = "prompt_toolkit-3.0.48-py3-none-any.whl", hash = "sha256:f49a827f90062e411f1ce1f854f2aedb3c23353244f8108b89283587397ac10e"}, @@ -5168,7 +5184,7 @@ files = [ name = "protobuf" version = "4.25.5" description = "" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "protobuf-4.25.5-cp310-abi3-win32.whl", hash = "sha256:5e61fd921603f58d2f5acb2806a929b4675f8874ff5f330b7d6f7e2e784bbcd8"}, @@ -5188,7 +5204,7 @@ files = [ name = "psutil" version = "6.1.0" description = "Cross-platform lib for process and system monitoring in Python." -optional = false +optional = true python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" files = [ {file = "psutil-6.1.0-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:ff34df86226c0227c52f38b919213157588a678d049688eded74c76c8ba4a5d0"}, @@ -5236,7 +5252,7 @@ files = [ name = "ptyprocess" version = "0.7.0" description = "Run a subprocess in a pseudo terminal" -optional = false +optional = true python-versions = "*" files = [ {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"}, @@ -5247,7 +5263,7 @@ files = [ name = "pure-eval" version = "0.2.3" description = "Safely evaluate AST nodes without side effects" -optional = false +optional = true python-versions = "*" files = [ {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"}, @@ -5590,6 +5606,31 @@ pyyaml = "*" [package.extras] extra = ["pygments (>=2.12)"] +[[package]] +name = "pymilvus" +version = "2.5.0" +description = "Python Sdk for Milvus" +optional = true +python-versions = ">=3.8" +files = [ + {file = "pymilvus-2.5.0-py3-none-any.whl", hash = "sha256:a0e8653d8fe78019abfda79b3404ef7423f312501e8cbd7dc728051ce8732652"}, + {file = "pymilvus-2.5.0.tar.gz", hash = "sha256:4da14a3bd957a4921166f9355fd1f1ac5c5e4e80b46f12f64d9c9a6dcb8cb395"}, +] + +[package.dependencies] +grpcio = ">=1.49.1,<=1.67.1" +milvus-lite = {version = ">=2.4.0", markers = "sys_platform != \"win32\""} +pandas = ">=1.2.4" +protobuf = ">=3.20.0" +python-dotenv = ">=1.0.1,<2.0.0" +setuptools = ">69" +ujson = ">=2.0.0" + +[package.extras] +bulk-writer = ["azure-storage-blob", "minio (>=7.0.0)", "pyarrow (>=12.0.0)", "requests"] +dev = ["black", "grpcio (==1.62.2)", "grpcio-testing (==1.62.2)", "grpcio-tools (==1.62.2)", "pytest (>=5.3.4)", "pytest-cov (>=2.8.1)", "pytest-timeout (>=1.3.4)", "ruff (>0.4.0)"] +model = ["milvus-model (>=0.1.0)"] + [[package]] name = "pyparsing" version = "3.2.0" @@ -5731,7 +5772,7 @@ cli = ["click (>=5.0)"] name = "python-json-logger" version = "2.0.7" description = "A python library adding a json log formatter" -optional = false +optional = true python-versions = ">=3.6" files = [ {file = "python-json-logger-2.0.7.tar.gz", hash = "sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c"}, @@ -5764,7 +5805,7 @@ files = [ name = "pywin32" version = "308" description = "Python for Window Extensions" -optional = false +optional = true python-versions = "*" files = [ {file = "pywin32-308-cp310-cp310-win32.whl", hash = "sha256:796ff4426437896550d2981b9c2ac0ffd75238ad9ea2d3bfa67a1abd546d262e"}, @@ -5791,7 +5832,7 @@ files = [ name = "pywinpty" version = "2.0.14" description = "Pseudo terminal support for Windows from Python." -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "pywinpty-2.0.14-cp310-none-win_amd64.whl", hash = "sha256:0b149c2918c7974f575ba79f5a4aad58bd859a52fa9eb1296cc22aa412aa411f"}, @@ -5882,7 +5923,7 @@ pyyaml = "*" name = "pyzmq" version = "26.2.0" description = "Python bindings for 0MQ" -optional = false +optional = true python-versions = ">=3.7" 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python-versions = ">=3.8" files = [ {file = "weaviate_client-4.6.7-py3-none-any.whl", hash = "sha256:8793de35264cab33a84fe8cb8c422a257fe4d8334657aaddd8ead853da3fb34a"}, @@ -7449,7 +7877,7 @@ validators = "0.33.0" name = "webcolors" version = "24.11.1" description = "A library for working with the color formats defined by HTML and CSS." -optional = false +optional = true python-versions = ">=3.9" files = [ {file = "webcolors-24.11.1-py3-none-any.whl", hash = "sha256:515291393b4cdf0eb19c155749a096f779f7d909f7cceea072791cb9095b92e9"}, @@ -7460,7 +7888,7 @@ files = [ name = "webencodings" version = "0.5.1" description = "Character encoding aliases for legacy web content" -optional = false +optional = true python-versions = "*" files = [ {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, @@ -7471,7 +7899,7 @@ files = [ name = "websocket-client" version = "1.8.0" description = "WebSocket client for Python with 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["asyncpg", "pgvector", "psycopg2"] +posthog = ["posthog"] qdrant = ["qdrant-client"] weaviate = ["weaviate-client"] [metadata] lock-version = "2.0" python-versions = ">=3.9.0,<3.12" -content-hash = "e2360f4be222743bb83b1e7316185c5f62bd73c0baaab3eee984e1c84f1cea65" +content-hash = "697aa9271d3402ac3df8d06822990b0c734aefa5f138f0ddcfc0c34d16ddfe5d" diff --git a/pyproject.toml b/pyproject.toml index 46d0a89a..a2a33678 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -30,7 +30,7 @@ typing_extensions = "4.12.2" nest_asyncio = "1.6.0" numpy = "1.26.4" datasets = "3.1.0" -falkordb = "1.0.9" +falkordb = {version = "1.0.9", optional = true} boto3 = "^1.26.125" botocore="^1.35.54" gunicorn = "^20.1.0" @@ -43,59 +43,65 @@ filetype = "^1.2.0" nltk = "^3.8.1" dlt = {extras = ["sqlalchemy"], version = "^1.4.1"} aiofiles = "^23.2.1" -qdrant-client = "^1.9.0" +qdrant-client = {version = "^1.9.0", optional = true} graphistry = "^0.33.5" tenacity = "^8.4.1" -weaviate-client = "4.6.7" +weaviate-client 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