598f186eb1
The version = "2.x" strings in earlier pyproject.toml snapshots were arbitrary placeholders from the initial scaffold (cookiecutter default), not a reflection of API maturity. Resetting to 0.11.0 to signal pre-1.0 status: public surface (CLI flags, REST endpoints, instance.yaml schema, extract.duckdb contract) may still shift between minor versions. CalVer image tags (stable-YYYY.MM.N, dev-YYYY.MM.N) continue from CI; semver tags (v0.X.Y) are cut at release boundaries and reference the same commit as a stable-* tag from the same day. CHANGELOG.md replaces the old CalVer draft format with Keep a Changelog + semver. The 0.11.0 entry curates everything currently in main: - Auth: Workspace groups, password reset, PAT, magic-link, seed admin pwd - Deploy: keboola-deploy workflow, Caddy/LE/cert-file TLS, dev_instances TLS, optional Google OAuth from SM, LOCAL_DEV_MODE, /setup wizard - CLI: wheel distribution, auto-update, --version, --dry-run, gzip - Data: remote query (BQ+DuckDB), business metrics, OpenAPI snapshot test - Security: padak-security.md audit batch + urllib3 + argon2-cffi - Two BREAKING items called out (Caddy profile rename, Caddyfile default cert mode flipped to cert-file)
73 lines
1.7 KiB
TOML
73 lines
1.7 KiB
TOML
[project]
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name = "agnes-the-ai-analyst"
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version = "0.11.0"
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description = "Agnes — AI Data Analyst platform for AI analytical systems"
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requires-python = ">=3.11,<3.14"
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license = "MIT"
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readme = "README.md"
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dependencies = [
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# Core database
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"duckdb>=0.9.0",
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# Web framework (FastAPI)
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"fastapi>=0.115.0",
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"uvicorn[standard]>=0.32.0",
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"python-multipart>=0.0.26",
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"jinja2>=3.1.0",
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"starlette>=0.41.0",
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# Authentication
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"PyJWT>=2.8.0",
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"itsdangerous>=2.1.0",
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"authlib>=1.6.11",
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"argon2-cffi>=23.1.0",
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# HTTP client
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"httpx>=0.27.0",
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# CLI
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"typer>=0.12.0",
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"rich>=13.0.0",
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# Configuration
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"python-dotenv>=1.0.0",
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"pyyaml>=6.0",
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# Data processing
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"pandas>=2.0.0",
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"pyarrow>=12.0.0",
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"pytz>=2024.1",
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# Data source connectors
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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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# Profiler visualizations
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"matplotlib>=3.8.0",
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"numpy>=1.24.0",
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]
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[project.optional-dependencies]
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# keboola-legacy: install kbcstorage>=0.9.0 manually if you need the legacy
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# Keboola client fallback (primary path uses DuckDB Keboola extension)
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dev = [
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"pytest>=9.0.0",
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"pytest-timeout>=2.0.0",
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"pytest-xdist>=3.0.0",
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"faker>=24.0.0",
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"anthropic>=0.30.0",
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"openai>=1.30.0",
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]
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[project.scripts]
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da = "cli.main:app"
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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 = ["app", "src", "connectors", "cli", "services", "config"]
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[tool.uv]
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dev-dependencies = [
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"pytest>=9.0.0",
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"pytest-timeout>=2.0.0",
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"pytest-xdist>=3.0.0",
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"faker>=24.0.0",
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"anthropic>=0.30.0",
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"openai>=1.30.0",
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]
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