DataAgentConnector/pyproject.toml at master · MagnusS0/DataAgentConnector · GitHub

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[project]
name = "data-agent-connector"
version = "0.1.0"
description = "A connector for Data Agents to interface with various databases through MCP"
readme = "README.md"
requires-python = ">=3.13"
dependencies = [
    "lancedb>=0.25.2",
    "pydantic>=2.11.10",
    "pydantic-settings>=2.11.0",
    "pyodbc>=5.2.0",
    "orjson>=3.10.7",
    "rich>=14.1.0",
    "scipy>=1.16.2",
    "sqlalchemy>=2.0.44",
    "async-lru>=2.0.5",
    "fastmcp>=2.12.4",
    "fastapi[standard]>=0.118.0",
    "cachetools>=6.2.1",
]

[dependency-groups]
ai = [
    "pydantic-ai-slim[openai]>=1.0.17",
    "sentence-transformers>=5.1.1",
]
dev = [
    "prek>=0.3.0",
    "ruff>=0.13.3",
    "ty>=0.0.1a21",
]

[tool.uv.sources]
torch = [
  { index = "pytorch-cpu", marker = "sys_platform != 'linux'" },
  { index = "pytorch-cu128", marker = "sys_platform == 'linux'" },
]
torchvision = [
  { index = "pytorch-cpu", marker = "sys_platform != 'linux'" },
  { index = "pytorch-cu128", marker = "sys_platform == 'linux'" },
]

[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true

[[tool.uv.index]]
name = "pytorch-cu128"
url = "https://download.pytorch.org/whl/cu128"
explicit = true

[tool.dac.settings]
databases_file = "databases.toml"

log_level = "INFO"
log_folder = "logs"

mcp_query_limit = 25

annotate_on_startup = true
max_concurrent_annotations = 32

lance_db_path = "./data/lance_db"
n_dims = 768
embedding_model_name = "google/embeddinggemma-300m"
device = "cuda"

allowed_sql_commands = ["SELECT", "SHOW", "DESCRIBE", "DESC", "EXPLAIN", "WITH", "PRAGMA"]

[tool.dac.settings.fts_extraction_options]
max_workers = 8
max_values_per_column = 1000
min_length = 1
max_length = 40