haystack/pyproject.toml

[build-system]
requires = [
  "hatchling>=1.8.0",
]
build-backend = "hatchling.build"

[project]
name = "farm-haystack"
dynamic = [
  "version",
]
description = "Neural Question Answering & Semantic Search at Scale. Use modern transformer based models like BERT to find answers in large document collections"
readme = "README.md"
license = "Apache-2.0"
requires-python = ">=3.7"
authors = [
  { name = "deepset.ai", email = "malte.pietsch@deepset.ai" },
]
keywords = [
  "BERT",
  "QA",
  "Question-Answering",
  "Reader",
  "Retriever",
  "albert",
  "language-model",
  "mrc",
  "roberta",
  "search",
  "semantic-search",
  "squad",
  "transfer-learning",
  "transformer",
]
classifiers = [
  "Development Status :: 5 - Production/Stable",
  "Intended Audience :: Science/Research",
  "License :: Freely Distributable",
  "License :: OSI Approved :: Apache Software License",
  "Operating System :: OS Independent",
  "Programming Language :: Python",
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3.7",
  "Programming Language :: Python :: 3.8",
  "Programming Language :: Python :: 3.9",
  "Programming Language :: Python :: 3.10",
  "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
  "importlib-metadata; python_version < '3.8'",
  "torch>1.9,<1.13",
  "requests",
  "pydantic",
  "transformers==4.21.2",
  "nltk",
  "pandas",

  # Utils
  "dill",  # pickle extension for (de-)serialization
  "tqdm",  # progress bars in model download and training scripts
  "networkx",  # graphs library
  "mmh3",  # fast hashing function (murmurhash3)
  "quantulum3",  # quantities extraction from text
  "posthog",  # telemetry
  "azure-ai-formrecognizer>=3.2.0b2",  # forms reader
  # audio's espnet-model-zoo requires huggingface-hub version <0.8 while we need >=0.5 to be able to use create_repo in FARMReader
  "huggingface-hub>=0.5.0",

  # Preprocessing
  "more_itertools",  # for windowing
  "python-docx",
  "langdetect",  # for PDF conversions
  "tika",  # Apache Tika (text & metadata extractor)

  # See haystack/nodes/retriever/_embedding_encoder.py, _SentenceTransformersEmbeddingEncoder
  "sentence-transformers>=2.2.0",

  # for stats in run_classifier
  "scipy>=1.3.2",
  "scikit-learn>=1.0.0",

  # Metrics and logging
  "seqeval",
  "mlflow",

  # Elasticsearch
  "elasticsearch>=7.7,<8",

  # context matching
  "rapidfuzz>=2.0.15,<2.8.0",   # FIXME https://github.com/deepset-ai/haystack/pull/3199

  # Schema validation
  "jsonschema",
]

[project.optional-dependencies]
sql = [
  "sqlalchemy>=1.4.2,<2",
  "sqlalchemy_utils",
  "psycopg2-binary; platform_system != 'Windows'",
]
only-faiss = [
  "faiss-cpu>=1.6.3,<2",
]
faiss = [
  "farm-haystack[sql,only-faiss]",
]
only-faiss-gpu = [
  "faiss-gpu>=1.6.3,<2",
]
faiss-gpu = [
  "farm-haystack[sql,only-faiss-gpu]",
]
only-milvus1 = [
  "pymilvus<2.0.0",  # Refer milvus version support matrix at https://github.com/milvus-io/pymilvus#install-pymilvus
]
milvus1 = [
  "farm-haystack[sql,only-milvus1]",
]
only-milvus = [
  "pymilvus>=2.0.0,<3",  # Refer milvus version support matrix at https://github.com/milvus-io/pymilvus#install-pymilvus
]
milvus = [
  "farm-haystack[sql,only-milvus]",
]
weaviate = [
  "weaviate-client==3.6.0",
]
only-pinecone = [
  "pinecone-client>=2.0.11,<3",
]
pinecone = [
  "farm-haystack[sql,only-pinecone]",
]
graphdb = [
  "SPARQLWrapper",
]
inmemorygraph = [
  "SPARQLWrapper",
]
opensearch = [
  "opensearch-py>=2",
]
docstores = [
  "farm-haystack[faiss,milvus,weaviate,graphdb,inmemorygraph,pinecone,opensearch]",
]
docstores-gpu = [
  "farm-haystack[faiss-gpu,milvus,weaviate,graphdb,inmemorygraph,pinecone,opensearch]",
]
audio = [
  "pyworld<=0.2.12",
  "espnet",
  "espnet-model-zoo",
  "pydub",
]
beir = [
  "beir; platform_system != 'Windows'",
]
crawler = [
  "selenium>=4.0.0,!=4.1.4",  # Avoid 4.1.4 due to https://github.com/SeleniumHQ/selenium/issues/10612
  "webdriver-manager",
]
preprocessing = [
  "beautifulsoup4",
  "markdown",
  "python-magic; platform_system != 'Windows'",  # Depends on libmagic: https://pypi.org/project/python-magic/
  "python-magic-bin; platform_system == 'Windows'",  # Needs to be installed without python-magic, otherwise Windows CI gets stuck.
]
ocr = [
  "pytesseract>0.3.7",
  "pillow",
  "pdf2image>1.14",
]
onnx = [
  "onnxruntime",
  "onnxruntime_tools",
]
onnx-gpu = [
  "onnxruntime-gpu",
  "onnxruntime_tools",
]
ray = [
  "ray>=1.9.1,<2; platform_system != 'Windows'",
  "ray>=1.9.1,<2,!=1.12.0; platform_system == 'Windows'",  # Avoid 1.12.0 due to https://github.com/ray-project/ray/issues/24169 (fails on windows)
  "aiorwlock>=1.3.0,<2",
]
colab = [
  "grpcio==1.47.0",
  "requests>=2.25",  # Needed to avoid dependency conflict with crawler https://github.com/deepset-ai/haystack/pull/2921
]
dev = [
  "pre-commit",
  # Type check
  "mypy",
  "typing_extensions; python_version < '3.8'",
  # Test
  "pytest",
  "pytest-custom_exit_code",  # used in the CI
  "responses",
  "tox",
  "coverage",
  "python-multipart",
  "psutil",
  # Linting
  "pylint",
  # Code formatting
  "black[jupyter]==22.6.0",
  # Documentation
  "pydoc-markdown",
  "mkdocs",
  "jupytercontrib",
  "watchdog",  # ==1.0.2
  "requests-cache",
]
test = [
  "farm-haystack[docstores,audio,crawler,preprocessing,ocr,ray,dev]",
]
all = [
  "farm-haystack[docstores,audio,crawler,preprocessing,ocr,ray,dev,onnx,beir]",
]
all-gpu = [
  "farm-haystack[docstores-gpu,audio,crawler,preprocessing,ocr,ray,dev,onnx-gpu,beir]",
]

[project.urls]
"CI: GitHub" = "https://github.com/deepset-ai/haystack/actions"
"Docs: RTD" = "https://haystack.deepset.ai/overview/intro"
"GitHub: issues" = "https://github.com/deepset-ai/haystack/issues"
"GitHub: repo" = "https://github.com/deepset-ai/haystack"
Homepage = "https://github.com/deepset-ai/haystack"

[tool.hatch.version]
path = "VERSION.txt"
pattern = "(?P<version>.+)"

[tool.hatch.build.targets.sdist]
include = [
  "/haystack",
  "/VERSION.txt",
]

[tool.hatch.build.targets.wheel]
packages = [
  "haystack",
]

[tool.black]
line-length = 120
skip_magic_trailing_comma = true  # For compatibility with pydoc>=4.6, check if still needed.


[tool.pylint.'MESSAGES CONTROL']
max-line-length=120
disable = [

  # To keep
  "fixme",
  "c-extension-no-member",
  "wrong-spelling-in-comment",
  "wrong-spelling-in-docstring",

  # To review:
  "missing-docstring",
  "unused-argument",
  "no-member",
  "line-too-long",
  "protected-access",
  "too-few-public-methods",
  "raise-missing-from",
  "invalid-name",
  "logging-fstring-interpolation",
  "too-many-locals",
  "duplicate-code",
  "too-many-arguments",
  "arguments-differ",
  "consider-using-f-string",
  "no-else-return",
  "unused-variable",
  "attribute-defined-outside-init",
  "too-many-instance-attributes",
  "super-with-arguments",
  "anomalous-backslash-in-string",
  "redefined-builtin",
  "logging-format-interpolation",
  "f-string-without-interpolation",
  "abstract-method",
  "too-many-branches",
  "trailing-whitespace",
  "unspecified-encoding",
  "unidiomatic-typecheck",
  "no-name-in-module",
  "dangerous-default-value",
  "consider-using-with",
  "redefined-outer-name",
  "arguments-renamed",
  "unnecessary-pass",
  "broad-except",
  "unnecessary-comprehension",
  "subprocess-run-check",
  "singleton-comparison",
  "consider-iterating-dictionary",
  "too-many-nested-blocks",
  "undefined-loop-variable",
  "too-many-statements",
  "consider-using-in",
  "bare-except",
  "too-many-lines",
  "unexpected-keyword-arg",
  "simplifiable-if-expression",
  "use-list-literal",




  # To review later
  "cyclic-import",
  "import-outside-toplevel",
  "deprecated-method",
]
[tool.pylint.'DESIGN']
max-args=7
[tool.pylint.'SIMILARITIES']
min-similarity-lines=6


[tool.pytest.ini_options]
minversion = "6.0"
addopts = "--strict-markers"
markers = [
  "unit: unit tests",
  "integration: integration tests",
  
  "generator: generator tests",
  "summarizer: summarizer tests",
  "embedding_dim: uses a document store with non-default embedding dimension (e.g @pytest.mark.embedding_dim(128))",

  "tika: requires Tika container",
  "parsr: requires Parsr container",
  "ocr: requires Tesseract",

  "elasticsearch: requires Elasticsearch container",
  "graphdb: requires GraphDB container",
  "weaviate: requires Weaviate container",
  "pinecone: requires Pinecone credentials",
  "faiss: uses FAISS",
  "milvus: requires a Milvus 2 setup",
  "milvus1: requires a Milvus 1 container",
  "opensearch",
]
log_cli = true

[tool.mypy]
warn_return_any = false
warn_unused_configs = true
ignore_missing_imports = true
plugins = [
  "pydantic.mypy",
]