917f9aaef0
## Summary Smoke-testing the just-shipped 0.47.1 against production exposed two regressions: 1. `agnes query --remote "SELECT FROM unit_economics WHERE bad_col=1"` returned `Table "unit_economics" must be qualified` (the OLD error) instead of `Unrecognized name: bad_col` (the #218 fix's intended behavior). 2. `agnes query "DESCRIBE unit_economics"` showed only DuckDB's misleading `Did you mean order_economics?` with no Agnes hint paragraph (the #219 fix is missing). Root cause: PR #217's squash merge (`506a378c`) carried stale snapshots of `app/api/query.py` and `cli/commands/query.py` from before #218 and #219 merged. The rebase-and-merge auto-merged those files cleanly (no conflict markers) but the result silently reverted both fixes. Restore the two changes verbatim. Tests for both fixes already on main and continue to pass against the restored code. ## Test plan - [x] `pytest tests/test_api_query_guardrail.py tests/test_cli_query.py` — clean - [x] Manual repro against prod after deploy: both flows now surface the intended diagnostic. <!-- devin-review-badge-begin --> --- <a href="https://app.devin.ai/review/keboola/agnes-the-ai-analyst/pull/225" target="_blank"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://static.devin.ai/assets/gh-open-in-devin-review-dark.svg?v=1"> <img src="https://static.devin.ai/assets/gh-open-in-devin-review-light.svg?v=1" alt="Open in Devin Review"> </picture> </a> <!-- devin-review-badge-end -->
121 lines
4.3 KiB
TOML
121 lines
4.3 KiB
TOML
[project]
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name = "agnes-the-ai-analyst"
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version = "0.47.2"
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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>=0.0.27",
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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. `h2` enables HTTP/2 multiplexing for the persistent
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# CLI client used by `agnes pull` (one TCP connection serves N
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# concurrent parquet streams + range chunks). `cli/client.py`
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# gracefully falls back to HTTP/1.1 if h2 is missing, so this
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# extra is for performance, not correctness.
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"httpx>=0.27.0",
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"h2>=4.1.0",
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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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# Per-IP rate limiting on auth endpoints (#45). In-process counters by
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# default — fine for single-replica deploys. Multi-replica rollouts can
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# swap the storage backend via slowapi's `storage_uri` (Redis, Memcached).
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"slowapi>=0.1.9",
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# LLM provider SDKs — core (not dev) because connectors/llm/*_provider.py
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# is imported by services/{corporate_memory, verification_detector} which
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# the scheduler drives in production. Promoted from [dev] in #176 to fix
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# ModuleNotFoundError boot loops on default Compose deploys.
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"anthropic>=0.30.0",
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"openai>=1.30.0",
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# Keboola Storage API SDK — used by:
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# - `connectors/keboola/client.py` for admin-side bucket / table list
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# (consumed from `app/api/admin.py` discover-and-register, table
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# metadata refresh).
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# Extraction itself uses the lightweight `connectors/keboola/storage_api.py`
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# module (export-async + signed-URL download) which talks to Storage API
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# directly via `requests` — no SDK dependency on the data-path side. The
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# SDK stays for the metadata reads.
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"kbcstorage>=0.9.0",
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"sse-starlette>=2.0",
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]
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[project.optional-dependencies]
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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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# 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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# FastAPI debug toolbar — gated behind DEBUG=1 env var in app/main.py.
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# Provides per-request panels (headers, routes, timer, profiling, etc.)
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# for local development. Never loaded in production (no DEBUG=1 there).
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"fastapi-debug-toolbar>=0.6.3",
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]
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[project.scripts]
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agnes = "cli.main:_run_with_clean_errors"
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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.ruff]
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line-length = 120
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target-version = "py313"
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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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"fastapi-debug-toolbar>=0.6.3",
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]
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