agnes-the-ai-analyst/pyproject.toml
ZdenekSrotyr 567385d046 release: 0.35.0 — session pipeline fix (BREAKING) (#176)
Five compounding defects on default `docker compose up` deploys made the
session pipeline silently broken: sessions uploaded by analysts via
`agnes push` landed on /data/user_sessions/<user>/*.jsonl but nothing
ever processed them. Fix is one PR: promote anthropic + openai to core
deps, wire all three LLM-pipeline jobs into scheduler-v2 with offset
cadences (10m/15m/17m), drop the side-car services from compose, seed a
default ai: block on first-time setup with an env-var fallback in code,
surface the pending review queue to admins, and expose a health check
that warns when uploaded jsonls aren't being processed.

**BREAKING** for operators on COMPOSE_PROFILES=full or with custom
Compose overrides referencing the corporate-memory or session-collector
service stanzas — drop them. The scheduler is now the sole driver.
2026-05-05 00:46:27 +02:00

108 lines
3.6 KiB
TOML

[project]
name = "agnes-the-ai-analyst"
version = "0.35.0"
description = "Agnes — AI Data Analyst platform for AI analytical systems"
requires-python = ">=3.11,<3.14"
license = "MIT"
readme = "README.md"
dependencies = [
# Core database
"duckdb>=0.9.0",
# Web framework (FastAPI)
"fastapi>=0.115.0",
"uvicorn[standard]>=0.32.0",
"python-multipart>=0.0.26",
"jinja2>=3.1.0",
"starlette>=0.41.0",
# Authentication
"PyJWT>=2.8.0",
"itsdangerous>=2.1.0",
"authlib>=1.6.11",
"argon2-cffi>=23.1.0",
# HTTP client
"httpx>=0.27.0",
# CLI
"typer>=0.12.0",
"rich>=13.0.0",
# Configuration
"python-dotenv>=1.0.0",
"pyyaml>=6.0",
# Data processing
"pandas>=2.0.0",
"pyarrow>=12.0.0",
"pytz>=2024.1",
# SQL parsing — server-side WHERE validator for /api/v2/scan (app/api/where_validator.py)
# Minimum 30.x — older versions had walk() yielding (node, parent, key)
# tuples instead of expression nodes, which would silently bypass the
# WHERE-validator structural checks (isinstance(tuple, exp.Subquery)
# is always False). 30.x yields nodes directly.
"sqlglot>=30.0.0",
# Data source connectors
"google-cloud-bigquery>=3.0.0",
"google-cloud-bigquery-storage>=2.0.0",
# Google Workspace Cloud Identity / Admin SDK (Workspace group membership sync)
"google-api-python-client>=2.0.0",
# Profiler visualizations
"matplotlib>=3.8.0",
"numpy>=1.24.0",
# Claude Code marketplace endpoint — pure-Python git server mounted in FastAPI
"dulwich>=0.22.0",
"a2wsgi>=1.10.0",
# In-process TTL cache for marketplace etag (transitively present via
# google-auth, declared explicitly here because we depend on it directly).
"cachetools>=5.3.0",
# Per-IP rate limiting on auth endpoints (#45). In-process counters by
# default — fine for single-replica deploys. Multi-replica rollouts can
# swap the storage backend via slowapi's `storage_uri` (Redis, Memcached).
"slowapi>=0.1.9",
# LLM provider SDKs — core (not dev) because connectors/llm/*_provider.py
# is imported by services/{corporate_memory, verification_detector} which
# the scheduler drives in production. Promoted from [dev] in #176 to fix
# ModuleNotFoundError boot loops on default Compose deploys.
"anthropic>=0.30.0",
"openai>=1.30.0",
]
[project.optional-dependencies]
# keboola-legacy: install kbcstorage>=0.9.0 manually if you need the legacy
# Keboola client fallback (primary path uses DuckDB Keboola extension)
dev = [
"pytest>=9.0.0",
"pytest-timeout>=2.0.0",
"pytest-xdist>=3.0.0",
"faker>=24.0.0",
# jsonschema validates the corporate-memory extraction-tool golden fixtures
# under tests/test_corporate_memory_v1.py (extraction.json, correction.json,
# confidence_calibration.json). Production code does not depend on it.
"jsonschema>=4.0.0",
# FastAPI debug toolbar — gated behind DEBUG=1 env var in app/main.py.
# Provides per-request panels (headers, routes, timer, profiling, etc.)
# for local development. Never loaded in production (no DEBUG=1 there).
"fastapi-debug-toolbar>=0.6.3",
]
[project.scripts]
agnes = "cli.main:app"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["app", "src", "connectors", "cli", "services", "config"]
[tool.ruff]
line-length = 120
target-version = "py313"
[tool.uv]
dev-dependencies = [
"pytest>=9.0.0",
"pytest-timeout>=2.0.0",
"pytest-xdist>=3.0.0",
"faker>=24.0.0",
"anthropic>=0.30.0",
"openai>=1.30.0",
"fastapi-debug-toolbar>=0.6.3",
]