<!-- .github/pull_request_template.md --> ## Description <!-- Please provide a clear, human-generated description of the changes in this PR. DO NOT use AI-generated descriptions. We want to understand your thought process and reasoning. --> Implement File-Based Version of the Redis Cache Adapter Description and acceptance criteria: This PR introduces a file-based cache adapter as an alternative to the existing Redis-based adapter. It provides the same core functionality for caching session data and maintaining context across multiple user interactions but stores data locally in files instead of Redis. Because the shared Kùzu lock mechanism relies on Redis, it is not supported in this implementation. If a lock is configured, the adapter will raise an error to prevent misconfiguration. You can test this adapter by enabling caching with the following settings: caching=True cache_backend="fs" When running multiple searches in a session, the system should correctly maintain conversational context. For example: - What is XY? - Are you sure? - What was my first question? In this case, the adapter should preserve previous user–Cognee interactions within the cache file so that follow-up queries remain context-aware. ## Type of Change <!-- Please check the relevant option --> - [ ] Bug fix (non-breaking change that fixes an issue) - [x] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Code refactoring - [ ] Performance improvement - [ ] Other (please specify): ## Screenshots/Videos (if applicable) <!-- Add screenshots or videos to help explain your changes --> ## Pre-submission Checklist <!-- Please check all boxes that apply before submitting your PR --> - [x] **I have tested my changes thoroughly before submitting this PR** - [x] **This PR contains minimal changes necessary to address the issue/feature** - [x] My code follows the project's coding standards and style guidelines - [x] I have added tests that prove my fix is effective or that my feature works - [x] I have added necessary documentation (if applicable) - [x] All new and existing tests pass - [x] I have searched existing PRs to ensure this change hasn't been submitted already - [x] I have linked any relevant issues in the description - [x] My commits have clear and descriptive messages ## DCO Affirmation I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin. --------- Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com> Co-authored-by: hajdul88 <52442977+hajdul88@users.noreply.github.com>
207 lines
5.2 KiB
TOML
207 lines
5.2 KiB
TOML
[project]
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name = "cognee"
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version = "0.3.9"
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description = "Cognee - is a library for enriching LLM context with a semantic layer for better understanding and reasoning."
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authors = [
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{ name = "Vasilije Markovic" },
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{ name = "Boris Arzentar" },
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]
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requires-python = ">=3.10,<3.14"
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readme = "README.md"
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license = "Apache-2.0"
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classifiers = [
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"Development Status :: 4 - Beta",
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"Intended Audience :: Developers",
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"License :: OSI Approved :: Apache Software License",
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"Topic :: Software Development :: Libraries",
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"Operating System :: MacOS :: MacOS X",
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"Operating System :: POSIX :: Linux",
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"Operating System :: Microsoft :: Windows",
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]
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dependencies = [
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"openai>=1.80.1",
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"python-dotenv>=1.0.1,<2.0.0",
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"pydantic>=2.10.5,<3.0.0",
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"pydantic-settings>=2.2.1,<3",
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"typing_extensions>=4.12.2,<5.0.0",
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"numpy>=1.26.4, <=4.0.0",
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"sqlalchemy>=2.0.39,<3.0.0",
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"aiosqlite>=0.20.0,<1.0.0",
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"tiktoken>=0.8.0,<1.0.0",
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"litellm>=1.76.0",
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"instructor>=1.9.1,<2.0.0",
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"filetype>=1.2.0,<2.0.0",
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"aiohttp>=3.11.14,<4.0.0",
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"aiofiles>=23.2.1,<24.0.0",
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"rdflib>=7.1.4,<7.2.0",
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"pypdf>=4.1.0,<7.0.0",
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"jinja2>=3.1.3,<4",
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"lancedb>=0.24.0,<1.0.0",
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"nbformat>=5.7.0,<6.0.0",
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"alembic>=1.13.3,<2",
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"limits>=4.4.1,<5",
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"fastapi>=0.116.2,<1.0.0",
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"python-multipart>=0.0.20,<1.0.0",
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"fastapi-users[sqlalchemy]>=14.0.1,<15.0.0",
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"structlog>=25.2.0,<26",
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"pympler>=1.1,<2.0.0",
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"onnxruntime<=1.22.1",
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"pylance>=0.22.0,<=0.36.0",
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"kuzu (==0.11.3)",
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"python-magic-bin<0.5 ; platform_system == 'Windows'", # Only needed for Windows
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"fastembed<=0.6.0",
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"networkx>=3.4.2,<4",
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"uvicorn>=0.34.0,<1.0.0",
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"gunicorn>=20.1.0,<24",
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"websockets>=15.0.1,<16.0.0",
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"mistralai>=1.9.10",
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"tenacity>=9.0.0",
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"fakeredis[lua]>=2.32.0",
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"diskcache>=5.6.3",
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]
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[project.optional-dependencies]
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api=[]
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distributed = [
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"modal>=1.0.5,<2.0.0",
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]
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scraping = [
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"tavily-python>=0.7.12",
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"beautifulsoup4>=4.13.1",
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"playwright>=1.9.0",
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"lxml>=4.9.3",
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"protego>=0.1",
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"APScheduler>=3.10.0,<=3.11.0"
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]
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neo4j = ["neo4j>=5.28.0,<6"]
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neptune = ["langchain_aws>=0.2.22"]
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postgres = [
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"psycopg2>=2.9.10,<3",
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"pgvector>=0.3.5,<0.4",
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"asyncpg>=0.30.0,<1.0.0",
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]
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postgres-binary = [
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"psycopg2-binary>=2.9.10,<3.0.0",
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"pgvector>=0.3.5,<0.4",
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"asyncpg>=0.30.0,<1.0.0",
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]
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notebook = ["notebook>=7.1.0,<8"]
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langchain = [
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"langsmith>=0.2.3,<1.0.0",
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"langchain_text_splitters>=0.3.2,<1.0.0",
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]
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llama-index = ["llama-index-core>=0.12.11,<0.13"]
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huggingface = ["transformers>=4.46.3,<5"]
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ollama = ["transformers>=4.46.3,<5"]
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mistral = ["mistral-common>=1.5.2,<2"]
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anthropic = ["anthropic>=0.27"]
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deepeval = ["deepeval>=3.0.1,<4"]
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posthog = ["posthog>=3.5.0,<4"]
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groq = ["groq>=0.8.0,<1.0.0"]
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chromadb = [
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"chromadb>=0.6,<0.7",
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"pypika==0.48.9",
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]
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docs = ["lxml<6.0.0", "unstructured[csv, doc, docx, epub, md, odt, org, ppt, pptx, rst, rtf, tsv, xlsx, pdf]>=0.18.1,<19"]
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codegraph = [
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"fastembed<=0.6.0 ; python_version < '3.13'",
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"transformers>=4.46.3,<5",
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"tree-sitter>=0.24.0,<0.25",
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"tree-sitter-python>=0.23.6,<0.24",
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]
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evals = [
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"plotly>=6.0.0,<7",
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"gdown>=5.2.0,<6",
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"pandas>=2.2.2,<3.0.0",
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"matplotlib>=3.8.3,<4",
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"scikit-learn>=1.6.1,<2",
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]
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graphiti = ["graphiti-core>=0.7.0,<0.8"]
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# Note: New s3fs and boto3 versions don't work well together
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# Always use comaptible fixed versions of these two dependencies
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aws = ["s3fs[boto3]==2025.3.2"]
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dlt = ["dlt[sqlalchemy]>=1.9.0,<2"]
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baml = ["baml-py (==0.206.0)"]
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dev = [
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"pytest>=7.4.0,<8",
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"pytest-cov>=6.1.1,<7.0.0",
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"pytest-asyncio>=0.21.1,<0.22",
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"coverage>=7.3.2,<8",
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"mypy>=1.7.1,<2",
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"pre-commit>=4.0.1,<5",
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"notebook>=7.1.0,<8",
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"deptry>=0.20.0,<0.21",
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"pylint>=3.0.3,<4",
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"ruff>=0.9.2,<=0.13.1",
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"tweepy>=4.14.0,<5.0.0",
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"gitpython>=3.1.43,<4",
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"mkdocs-material>=9.5.42,<10",
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"mkdocs-minify-plugin>=0.8.0,<0.9",
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"mkdocstrings[python]>=0.26.2,<0.27",
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]
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debug = ["debugpy>=1.8.9,<2.0.0"]
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redis = ["redis>=5.0.3,<6.0.0"]
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monitoring = ["sentry-sdk[fastapi]>=2.9.0,<3", "langfuse>=2.32.0,<3"]
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docling = ["docling>=2.54", "transformers>=4.55"]
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[project.urls]
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Homepage = "https://www.cognee.ai"
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Repository = "https://github.com/topoteretes/cognee"
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[project.scripts]
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cognee = "cognee.cli._cognee:main"
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cognee-cli = "cognee.cli._cognee:main"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build]
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exclude = [
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"/bin",
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"/dist",
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"/.data",
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"/.github",
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"/deployment",
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"/cognee-mcp",
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"/cognee-frontend",
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"/examples",
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"/helm",
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"/licenses",
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"/logs",
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"/notebooks",
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"/profiling",
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"/tests",
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"/tools",
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]
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[tool.hatch.build.targets.wheel]
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packages = ["cognee", "distributed"]
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[tool.ruff]
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line-length = 100
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exclude = [
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"migrations/", # Ignore migrations directory
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"notebooks/", # Ignore notebook files
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"build/", # Ignore build directory
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"cognee/pipelines.py",
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"cognee/modules/users/models/Group.py",
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"cognee/modules/users/models/ACL.py",
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"cognee/modules/pipelines/models/Task.py",
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"cognee/modules/data/models/Dataset.py"
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]
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[tool.ruff.lint]
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ignore = ["F401"]
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[dependency-groups]
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dev = [
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"pytest-timeout>=2.4.0",
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]
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