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Fix linter issues

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This commit is contained in:
vasilije 2025-01-05 19:48:35 +01:00
parent 5b115594b7
commit 76a0aa7e8b
24 changed files with 57 additions and 78 deletions
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3
alembic/env.py
View file

@ -6,6 +6,7 @@ from sqlalchemy.engine import Connection
from sqlalchemy.ext.asyncio import async_engine_from_config
from cognee.infrastructure.databases.relational import Base
from alembic import context
from cognee.infrastructure.databases.relational import get_relational_engine, get_relational_config
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
@ -83,8 +84,6 @@ def run_migrations_online() -> None:
asyncio.run(run_async_migrations())
from cognee.infrastructure.databases.relational import get_relational_engine, get_relational_config
db_engine = get_relational_engine()
if db_engine.engine.dialect.name == "sqlite":

1
cognee/api/client.py
View file

@ -74,7 +74,6 @@ app.add_middleware(
)
@app.exception_handler(RequestValidationError)
async def request_validation_exception_handler(request: Request, exc: RequestValidationError):
if request.url.path == "/api/v1/auth/login":

2
cognee/api/v1/cognify/cognify_v2.py
View file

@ -46,7 +46,7 @@ async def cognify(
# If no datasets are provided, cognify all existing datasets.
datasets = existing_datasets
if type(datasets[0]) == str:
if isinstance(datasets[0], str):
datasets = await get_datasets_by_name(datasets, user.id)
existing_datasets_map = {

3
cognee/api/v1/datasets/routers/get_datasets_router.py
View file

@ -107,7 +107,8 @@ def get_datasets_router() -> APIRouter:
status_code=200,
content=str(graph_url),
)
except:
except Exception as error:
print(error)
return JSONResponse(
status_code=409,
content="Graphistry credentials are not set. Please set them in your .env file.",

2
cognee/api/v1/search/search.legacy.py
View file

@ -64,7 +64,7 @@ async def search(search_type: str, params: Dict[str, Any], user: User = None) ->
for search_result in search_results:
document_id = search_result["document_id"] if "document_id" in search_result else None
document_id = UUID(document_id) if type(document_id) == str else document_id
document_id = UUID(document_id) if isinstance(document_id, str) else document_id
if document_id is None or document_id in own_document_ids:
filtered_search_results.append(search_result)

2
cognee/api/v1/search/search_v2.py
View file

@ -49,7 +49,7 @@ async def search(
for search_result in search_results:
document_id = search_result["document_id"] if "document_id" in search_result else None
document_id = UUID(document_id) if type(document_id) == str else document_id
document_id = UUID(document_id) if isinstance(document_id, str) else document_id
if document_id is None or document_id in own_document_ids:
filtered_search_results.append(search_result)

6
cognee/infrastructure/databases/graph/networkx/adapter.py
View file

@ -266,7 +266,8 @@ class NetworkXAdapter(GraphDBInterface):
for node in graph_data["nodes"]:
try:
node["id"] = UUID(node["id"])
except:
except Exception as e:
print(e)
pass
if "updated_at" in node:
node["updated_at"] = datetime.strptime(
@ -282,7 +283,8 @@ class NetworkXAdapter(GraphDBInterface):
edge["target"] = target_id
edge["source_node_id"] = source_id
edge["target_node_id"] = target_id
except:
except Exception as e:
print(e)
pass
if "updated_at" in edge:

4
cognee/infrastructure/databases/hybrid/falkordb/FalkorDBAdapter.py
View file

@ -4,6 +4,7 @@ import asyncio
import json
from textwrap import dedent
from uuid import UUID
from webbrowser import Error
from falkordb import FalkorDB
@ -167,7 +168,8 @@ class FalkorDBAdapter(VectorDBInterface, GraphDBInterface):
for index in indices.result_set
]
)
except:
except Error as e:
print(e)
return False
async def index_data_points(

2
cognee/infrastructure/databases/vector/milvus/MilvusAdapter.py
View file

@ -32,7 +32,7 @@ class MilvusAdapter(VectorDBInterface):
self.embedding_engine = embedding_engine
def get_milvus_client(self) -> "MilvusClient":
def get_milvus_client(self):
from pymilvus import MilvusClient
if self.api_key:

16
cognee/infrastructure/databases/vector/pinecone/adapter.py
View file

@ -1,8 +1,8 @@
class PineconeVectorDB(VectorDB):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.init_pinecone(self.index_name)
def init_pinecone(self, index_name):
# Pinecone initialization logic
pass
# class PineconeVectorDB(VectorDB):
# def __init__(self, *args, **kwargs):
# super().__init__(*args, **kwargs)
# self.init_pinecone(self.index_name)
#
# def init_pinecone(self, index_name):
# # Pinecone initialization logic
# pass

1
cognee/infrastructure/llm/openai/adapter.py
View file

@ -43,7 +43,6 @@ class OpenAIAdapter(LLMInterface):
self.api_version = api_version
self.streaming = streaming
@observe(as_type="generation")
async def acreate_structured_output(
self, text_input: str, system_prompt: str, response_model: Type[BaseModel]

2
cognee/modules/data/extraction/knowledge_graph/add_model_class_to_graph.py
View file

@ -37,7 +37,7 @@ async def add_model_class_to_graph(
if hasattr(field_type, "model_fields"): # Check if field type is a Pydantic model
await add_model_class_to_graph(field_type, graph, model_name, field_name)
elif get_origin(field.annotation) == list:
elif isinstance(get_origin(field.annotation), list):
list_types = get_args(field_type)
for item_type in list_types:
await add_model_class_to_graph(item_type, graph, model_name, field_name)

4
cognee/modules/storage/utils/__init__.py
View file

@ -2,6 +2,7 @@ import json
from uuid import UUID
from datetime import datetime
from pydantic_core import PydanticUndefined
from pydantic import create_model
from cognee.infrastructure.engine import DataPoint
@ -16,9 +17,6 @@ class JSONEncoder(json.JSONEncoder):
return json.JSONEncoder.default(self, obj)
from pydantic import create_model
def copy_model(model: DataPoint, include_fields: dict = {}, exclude_fields: list = []):
fields = {
name: (field.annotation, field.default if field.default is not None else PydanticUndefined)

2
cognee/modules/users/get_user_db.py
View file

@ -17,6 +17,4 @@ async def get_user_db(session: AsyncSession = Depends(get_async_session)):
yield SQLAlchemyUserDatabase(session, User)
get_user_db_context = asynccontextmanager(get_user_db)

4
cognee/modules/users/get_user_manager.py
View file

@ -4,7 +4,7 @@ from typing import Optional
from fastapi import Depends, Request
from fastapi_users import BaseUserManager, UUIDIDMixin, models
from fastapi_users.db import SQLAlchemyUserDatabase
from contextlib import asynccontextmanager
from .get_user_db import get_user_db
from .models import User
from .methods import get_user
@ -50,6 +50,4 @@ async def get_user_manager(user_db: SQLAlchemyUserDatabase = Depends(get_user_db
yield UserManager(user_db)
from contextlib import asynccontextmanager
get_user_manager_context = asynccontextmanager(get_user_manager)

2
cognee/modules/users/models/User.py
View file

@ -5,6 +5,7 @@ from fastapi_users.db import SQLAlchemyBaseUserTableUUID
from .Principal import Principal
from .UserGroup import UserGroup
from .Group import Group
from fastapi_users import schemas
class User(SQLAlchemyBaseUserTableUUID, Principal):
@ -23,7 +24,6 @@ class User(SQLAlchemyBaseUserTableUUID, Principal):
# Keep these schemas in sync with User model
from fastapi_users import schemas
class UserRead(schemas.BaseUser[uuid_UUID]):

2
cognee/shared/utils.py
View file

@ -274,8 +274,6 @@ def extract_pos_tags(sentence):
return pos_tags
logging.basicConfig(level=logging.INFO)

4
cognee/tasks/ingestion/transform_data.py
View file

@ -6,13 +6,13 @@ from typing import Union
def get_data_from_llama_index(data_point: Union[Document, ImageDocument], dataset_name: str) -> str:
# Specific type checking is used to ensure it's not a child class from Document
if type(data_point) == Document:
if isinstance(data_point, Document) and type(data_point) is Document:
file_path = data_point.metadata.get("file_path")
if file_path is None:
file_path = save_data_to_file(data_point.text)
return file_path
return file_path
elif type(data_point) == ImageDocument:
elif isinstance(data_point, ImageDocument) and type(data_point) is ImageDocument:
if data_point.image_path is None:
file_path = save_data_to_file(data_point.text)
return file_path

4
cognee/tests/unit/processing/chunks/chunk_by_word_test.py
View file

@ -35,6 +35,4 @@ def test_chunk_by_word_splits(input_text):
chunks = np.array(list(chunk_by_word(input_text)))
space_test = np.array([" " not in chunk[0].strip() for chunk in chunks])
assert np.all(
space_test
), f"These chunks contain spaces within them: {chunks[space_test == False]}"
assert np.all(space_test), f"These chunks contain spaces within them: {chunks[~space_test]}"

41
cognee/tests/unit/processing/utils/utils_test.py
View file

@ -102,7 +102,6 @@ def test_prepare_nodes():
assert len(nodes_df) == 1
def test_create_cognee_style_network_with_logo():
import networkx as nx
from unittest.mock import patch
@ -117,29 +116,23 @@ def test_create_cognee_style_network_with_logo():
# Convert the graph to a tuple format for serialization
graph_tuple = graph_to_tuple(graph)
print(graph_tuple)
original_open = open
# Define the output filename
output_filename = "test_network.html"
def mock_open_read_side_effect(*args, **kwargs):
if "cognee-logo.png" in args[0]:
return BytesIO(b"mock_png_data")
return original_open(*args, **kwargs)
with patch("bokeh.plotting.from_networkx") as mock_from_networkx:
original_open = open
with patch("builtins.open", side_effect=mock_open_read_side_effect):
result = create_cognee_style_network_with_logo(
graph_tuple,
title="Test Network",
node_attribute="group",
layout_func=nx.spring_layout,
layout_scale=3.0,
logo_alpha=0.5,
)
def mock_open_read_side_effect(*args, **kwargs):
if "cognee-logo.png" in args[0]:
return BytesIO(b"mock_png_data")
return original_open(*args, **kwargs)
with patch("builtins.open", side_effect=mock_open_read_side_effect):
result = create_cognee_style_network_with_logo(
graph_tuple,
title="Test Network",
node_attribute="group",
layout_func=nx.spring_layout,
layout_scale=3.0,
logo_alpha=0.5,
)
assert result is not None
assert isinstance(result, str)
assert len(result) > 0
assert result is not None
assert isinstance(result, str)
assert len(result) > 0

9
evals/generate_test_set.py
View file

@ -3,6 +3,10 @@ from deepeval.synthesizer import Synthesizer
import dotenv
from deepeval.test_case import LLMTestCase
# import pytest
# from deepeval import assert_test
from deepeval.metrics import AnswerRelevancyMetric
dotenv.load_dotenv()
# synthesizer = Synthesizer()
@ -33,11 +37,6 @@ print(dataset.goldens)
print(dataset)
# import pytest
# from deepeval import assert_test
from deepeval.metrics import AnswerRelevancyMetric
answer_relevancy_metric = AnswerRelevancyMetric(threshold=0.5)
# from deepeval import evaluate

7
evals/simple_rag_vs_cognee_eval.py
View file

@ -44,8 +44,6 @@ print(dataset.goldens)
print(dataset)
class AnswerModel(BaseModel):
response: str
@ -76,10 +74,7 @@ async def run_cognify_base_rag():
await add("data://test_datasets", "initial_test")
graph = await cognify("initial_test")
pass
return graph
async def cognify_search_base_rag(content: str, context: str):

5
profiling/graph_pydantic_conversion/benchmark_function.py
View file

@ -28,13 +28,10 @@ def benchmark_function(func: Callable, *args, num_runs: int = 5) -> Dict[str, An
# Start memory tracking
tracemalloc.start()
# Measure execution time and CPU usage
start_time = time.perf_counter()
start_cpu_time = process.cpu_times()
end_cpu_time = process.cpu_times()
end_time = time.perf_counter()
@ -45,8 +42,6 @@ def benchmark_function(func: Callable, *args, num_runs: int = 5) -> Dict[str, An
)
current, peak = tracemalloc.get_traced_memory()
# Store results
execution_times.append(execution_time)
peak_memory_usages.append(peak / 1024 / 1024) # Convert to MB

7
pyproject.toml
View file

@ -119,7 +119,12 @@ line-length = 100
exclude = [
"migrations/", # Ignore migrations directory
"notebooks/", # Ignore notebook files
"build/", # Ignore build directory
"build/", # Ignore build directory
"cognee/pipelines.py",
"cognee/modules/users/models/Group.py",
"cognee/modules/users/models/ACL.py",
"cognee/modules/pipelines/models/Task.py",
"cognee/modules/data/models/Dataset.py"
]
[tool.ruff.lint]