pyproject.toml

[tool.poetry]
name = "Splicing"
version = "0.0.1"
description = "Splicing is an open-source AI copilot designed to simplify data pipeline building for both data engineers and non-technical users."
authors = ["Splicing Team <info@splicing-ai.com>"]
license = "MIT"
readme = "README.md"
repository = "https://github.com/splicing-ai/splicing"
packages = [
    { include = "splicing" }
]

[tool.poetry.dependencies]
python = "^3.10"
fastapi = ">=0.110.0,<1"
uvicorn = ">=0.30.0,<1"
pydantic = "^2.0"
pydantic-settings = "^2.0"
datamodel-code-generator = ">=0.20.0"
redis = ">=4.2.0rc1"
pandas = "^2.0"
pyarrow = ">=15.0"
langchain-core = "^0.3.0"
langchain-openai = "^0.2.0"
langchain-anthropic = "^0.2.0"
langgraph = ">=0.2.20,<0.3"
dbt-core = "^1.6.0"

[tool.poetry.group.dev]
optional = true

[tool.poetry.group.dev.dependencies]
pre-commit = "*"
pytest = "*"
pytest-asyncio = "*"
fakeredis = "*"
mkdocs = "^1.5.0"
mkdocs-material = "^9.0"

[tool.poetry.group.aws]
optional = true

[tool.poetry.group.aws.dependencies]
boto3 = "^1.0"

[tool.poetry.group.duckdb]
optional = true

[tool.poetry.group.duckdb.dependencies]
duckdb = "^1.0"
dbt-duckdb = "^1.0"

[tool.poetry.group.gcp]
optional = true

[tool.poetry.group.gcp.dependencies]
google-cloud-bigquery = "^3.0"
dbt-bigquery = "^1.0"
db-dtypes = "^1.0"

[tool.poetry.scripts]
generate-schema = "splicing.backend.generate_schema:main"

[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"