Implement persistent SQLite database feature that allows scripts to query schedule data directly via SQL after loading XER files through MCP. Key changes: - Extend load_xer with db_path parameter for persistent database - Add get_database_info tool to retrieve database connection details - Add schema introspection with tables, columns, primary/foreign keys - Support WAL mode for concurrent read access - Use atomic write pattern to prevent corruption New features: - db_path=None: in-memory database (default, backward compatible) - db_path="": auto-generate path from XER filename (.sqlite extension) - db_path="/path/to/db": explicit persistent database path Response includes complete DatabaseInfo: - db_path: absolute path (or :memory:) - is_persistent: boolean - source_file: loaded XER path - loaded_at: ISO timestamp - schema: tables with columns, primary keys, foreign keys, row counts Closes: User Story 1, 2, 3 from 002-direct-db-access spec
51 lines
975 B
TOML
51 lines
975 B
TOML
[project]
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name = "xer-mcp"
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version = "0.2.0"
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description = "MCP server for querying Primavera P6 XER schedule data"
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readme = "README.md"
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requires-python = ">=3.14"
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dependencies = [
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"mcp>=1.0.0",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=8.0.0",
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"pytest-asyncio>=0.24.0",
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"ruff>=0.8.0",
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]
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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.targets.wheel]
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packages = ["src/xer_mcp"]
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[tool.ruff]
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line-length = 100
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target-version = "py314"
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[tool.ruff.lint]
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select = [
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"E", # pycodestyle errors
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"W", # pycodestyle warnings
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"F", # Pyflakes
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"I", # isort
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"B", # flake8-bugbear
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"C4", # flake8-comprehensions
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"UP", # pyupgrade
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]
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ignore = [
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"E501", # line too long (handled by formatter)
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]
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[tool.ruff.format]
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quote-style = "double"
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indent-style = "space"
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[tool.pytest.ini_options]
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asyncio_mode = "auto"
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testpaths = ["tests"]
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pythonpath = ["src"]
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