- Dockerfile (uv-based) + docker-compose.yml (3 services) - CLI tool 'da' with commands: auth, sync, query, status, admin, diagnose, skills - Scheduler sidecar service (replaces systemd timers) - pyproject.toml for uv distribution - Built-in skills (setup, troubleshoot) for AI agents - 17 CLI tests, 75 total tests passing
43 lines
867 B
TOML
43 lines
867 B
TOML
[project]
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name = "data-analyst"
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version = "2.0.0"
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description = "AI Data Analyst — data distribution platform for AI analytical systems"
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requires-python = ">=3.9"
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license = "MIT"
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dependencies = [
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"duckdb>=0.9.0",
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"fastapi>=0.115.0",
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"uvicorn[standard]>=0.32.0",
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"python-multipart>=0.0.9",
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"jinja2>=3.1.0",
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"PyJWT>=2.8.0",
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"httpx>=0.27.0",
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"typer>=0.12.0",
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"rich>=13.0.0",
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"python-dotenv>=1.0.0",
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"pyyaml>=6.0",
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]
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[project.scripts]
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da = "cli.main:app"
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[project.optional-dependencies]
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connectors = [
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"kbcstorage>=0.9.0",
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"google-cloud-bigquery>=3.0.0",
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"google-cloud-bigquery-storage>=2.0.0",
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"pandas>=2.0.0",
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"pyarrow>=12.0.0",
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]
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telegram = [
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"aiohttp>=3.9.0",
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]
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dev = [
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"pytest>=7.0.0",
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"pytest-mock>=3.0.0",
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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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