e1108b6112
Adds corporate memory v1 (verification flywheel + contradiction detection + confidence scoring) and v1.5 (audience-based distribution + per-item privacy + admin curation). Server: GET /api/memory/bundle returns mandatory + ranked-approved items within a token budget; POST /api/memory/admin/mandate accepts an audience field gated against user_group_members; /api/memory/stats uses SQL aggregation. CLI: da sync writes received items to .claude/rules/km_*.md. Verification detector extracts knowledge candidates from session JSONL files. Auto-tagging via Haiku when ai: is configured. Adapted from the v9-era branch onto v13/v14 RBAC: _is_privileged_viewer + _effective_groups now query user_group_members JOIN user_groups; require_role(Role.KM_ADMIN) replaced with require_admin (km_admin collapsed into admin). Schema v15: knowledge_items context-engineering columns + knowledge_contradictions + session_extraction_state. Schema v16: verification_evidence. Cuts release v0.15.0 (also bundles #116 /me/debug page).
91 lines
2.7 KiB
TOML
91 lines
2.7 KiB
TOML
[project]
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name = "agnes-the-ai-analyst"
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version = "0.15.0"
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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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# SQL parsing — server-side WHERE validator for /api/v2/scan (app/api/where_validator.py)
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# Minimum 30.x — older versions had walk() yielding (node, parent, key)
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# tuples instead of expression nodes, which would silently bypass the
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# WHERE-validator structural checks (isinstance(tuple, exp.Subquery)
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# is always False). 30.x yields nodes directly.
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"sqlglot>=30.0.0",
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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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# Google Workspace Cloud Identity / Admin SDK (Workspace group membership sync)
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"google-api-python-client>=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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# Claude Code marketplace endpoint — pure-Python git server mounted in FastAPI
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"dulwich>=0.22.0",
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"a2wsgi>=1.10.0",
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# In-process TTL cache for marketplace etag (transitively present via
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# google-auth, declared explicitly here because we depend on it directly).
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"cachetools>=5.3.0",
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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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# jsonschema validates the corporate-memory extraction-tool golden fixtures
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# under tests/test_corporate_memory_v1.py (extraction.json, correction.json,
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# confidence_calibration.json). Production code does not depend on it.
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"jsonschema>=4.0.0",
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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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