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pyproject.toml
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87 lines (79 loc) · 1.99 KB
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[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"
[project]
name = "text2sql-eval-toolkit"
version = "1.1.0"
description = "A toolkit for evaluating text-to-SQL pipelines"
readme = { file = "README.md", content-type = "text/markdown" }
requires-python = ">=3.11"
authors = [
{ name = "Oktie Hassanzadeh", email = "lastname@us.ibm.com" }
]
license = { text = "MIT" }
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent"
]
dependencies = [
"ibm_watsonx_ai>=1.3.30",
"pandas>=2.2.3",
"requests>=2.32.4",
"sqlalchemy>=2.0.41",
"sqlparse>=0.5.3",
"psycopg2-binary>=2.9.10",
"sqlglot>=27.0.0",
"asyncpg>=0.30.0",
"setuptools>=77.0.3",
"loguru>=0.7.3",
"func-timeout>=4.3.5",
"tqdm>=4.67.1",
"matplotlib>=3.10.5",
"python-dotenv>=1.1.1",
"langgraph>=0.2.0",
"langchain-core>=0.3.0",
"openai>=1.0.0",
"google-genai>=1.0.0",
"huggingface_hub>=0.30,<1.0"
]
[project.optional-dependencies]
db2 = [
"ibm-db>=3.2.6",
"ibm-db-sa>=0.4.0", # SQLAlchemy variant
"sqlalchemy>=2.0" # idem
]
mysql = [
"pymysql>=1.1.1",
"aiomysql>=0.2.0",
"greenlet>=3.0.0",
"cryptography>=45.0.6"
]
presto = [
"pyhive>=0.7.0",
"presto-python-client>=0.8.4"
]
notebook = [
"jupyter>=1.0.0",
"nbconvert>=7.0.0"
]
dashboard = [
"fastapi>=0.115.0",
"uvicorn[standard]>=0.30.0",
# MySQL async driver (Beaver benchmark); execution_tools uses mysql+aiomysql://
"pymysql>=1.1.1",
"aiomysql>=0.2.0",
"greenlet>=3.0.0",
"cryptography>=45.0.6"
]
[project.scripts]
text2sql-eval-dashboard = "text2sql_eval_toolkit.ui.server:main"
text2sql-eval-toolkit = "text2sql_eval_toolkit.cli:main"
[project.urls]
Homepage = "https://github.com/IBM/text2sql-eval-toolkit"
[tool.setuptools]
package-dir = { "" = "src" }
[tool.setuptools.packages.find]
where = ["src"]
[tool.setuptools.package-data]
"text2sql_eval_toolkit" = ["data/*.json"]