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Adds a self-contained RAG stack to Studio: knowledge bases with chunked indexing, hybrid (dense + lexical) retrieval, and an automatic first-pass context inject into chat. Embeddings run through a local llama-server GGUF backend (default unsloth/bge-small-en-v1.5-GGUF) with a sentence-transformers fallback. The chat tool loop gains a search_knowledge_base tool, a per-turn re-search cap, and source citation, layered on top of the shared ToolLoopController.
179 lines
5.4 KiB
Python
179 lines
5.4 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-only
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# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
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"""Shared pytest configuration for the backend test suite.
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Puts the backend root on sys.path (mirrors app launch) and provides a hybrid
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``studio_server`` session fixture for end-to-end tests with two modes:
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external server (``UNSLOTH_E2E_BASE_URL``/``UNSLOTH_E2E_API_KEY``) for fast
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iteration, or a fixture-managed server started/torn down per session for CI.
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Model/variant for the managed mode resolve from ``--unsloth-model`` /
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``--unsloth-gguf-variant``, then env vars, then ``test_studio_api.py`` defaults.
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"""
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import os
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import sys
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from pathlib import Path
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import pytest
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# Add backend root to sys.path (mirrors app launch)
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_backend_root = Path(__file__).resolve().parent.parent
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if str(_backend_root) not in sys.path:
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sys.path.insert(0, str(_backend_root))
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# Pytest CLI options
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def pytest_addoption(parser):
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group = parser.getgroup(
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"unsloth-e2e",
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"Unsloth Studio end-to-end test options",
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)
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group.addoption(
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"--unsloth-model",
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action = "store",
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default = None,
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help = (
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"GGUF model id used when starting a server for e2e tests. "
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"Ignored if UNSLOTH_E2E_BASE_URL is set. Overrides "
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"UNSLOTH_E2E_MODEL env var. Defaults to test_studio_api.py's "
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"DEFAULT_MODEL."
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),
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)
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group.addoption(
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"--unsloth-gguf-variant",
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action = "store",
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default = None,
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help = (
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"GGUF variant used when starting a server for e2e tests. "
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"Ignored if UNSLOTH_E2E_BASE_URL is set. Overrides "
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"UNSLOTH_E2E_VARIANT env var. Defaults to test_studio_api.py's "
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"DEFAULT_VARIANT."
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),
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)
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# E2E server fixtures
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@pytest.fixture(scope = "session")
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def studio_server(request):
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"""Yield ``(base_url, api_key)`` for e2e tests.
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Uses ``UNSLOTH_E2E_BASE_URL`` (requires ``UNSLOTH_E2E_API_KEY``) if set,
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else starts/tears down a fresh server via ``_start_server``. Session-scoped
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and lazy so the GGUF load happens at most once and only when requested.
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"""
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external_url = os.environ.get("UNSLOTH_E2E_BASE_URL")
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if external_url:
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api_key = os.environ.get("UNSLOTH_E2E_API_KEY")
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if not api_key:
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pytest.skip(
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"UNSLOTH_E2E_BASE_URL is set but UNSLOTH_E2E_API_KEY is "
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"missing — tests that require auth cannot run against an "
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"external server without it.",
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)
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yield external_url, api_key
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return
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# Lazy import; pytest has already loaded test_studio_api, so this is a cache hit.
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import test_studio_api as _e2e
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model = (
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request.config.getoption("--unsloth-model")
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or os.environ.get("UNSLOTH_E2E_MODEL")
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or _e2e.DEFAULT_MODEL
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)
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variant = (
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request.config.getoption("--unsloth-gguf-variant")
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or os.environ.get("UNSLOTH_E2E_VARIANT")
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or _e2e.DEFAULT_VARIANT
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)
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proc, api_key = _e2e._start_server(model, variant)
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try:
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yield f"http://{_e2e.HOST}:{_e2e.PORT}", api_key
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finally:
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_e2e._kill_server(proc)
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@pytest.fixture
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def base_url(studio_server):
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"""Base URL for the e2e Studio server (from ``studio_server``)."""
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return studio_server[0]
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@pytest.fixture
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def api_key(studio_server):
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"""API key for the e2e Studio server (from ``studio_server``)."""
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return studio_server[1]
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# ── RAG fixtures ─────────────────────────────────────────────────────
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@pytest.fixture
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def rag_home(tmp_path, monkeypatch):
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"""Isolate the RAG database under a fresh UNSLOTH_STUDIO_HOME per test.
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Points the storage root at ``tmp_path`` and resets the lazy schema flag so
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each test starts from an empty rag.db. Yields the temp home path.
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"""
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from storage import rag_db
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monkeypatch.setenv("UNSLOTH_STUDIO_HOME", str(tmp_path))
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monkeypatch.setattr(rag_db, "_schema_ready", False)
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return tmp_path
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@pytest.fixture
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def rag_conn(rag_home):
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"""A fresh RAG connection bound to the isolated ``rag_home`` database."""
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from storage import rag_db
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conn = rag_db.get_connection()
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try:
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yield conn
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finally:
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conn.close()
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@pytest.fixture
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def stub_embeddings(monkeypatch):
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"""Stub ``core.rag.embeddings`` with deterministic hash-based vectors.
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Lets store / retrieval / ingestion tests run fast without downloading a
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sentence-transformers model. Returns the fixed embedding dimension.
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"""
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import hashlib
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import math
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from core.rag import embeddings
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dim = 32
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def _vec(text: str):
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seed = hashlib.sha256(text.encode("utf-8")).digest()
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raw = [seed[i % len(seed)] / 255.0 for i in range(dim)]
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norm = math.sqrt(sum(x * x for x in raw)) or 1.0
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return [x / norm for x in raw]
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def fake_encode(
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texts,
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*,
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model_name = None,
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normalize = True,
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):
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return [_vec(t) for t in texts]
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monkeypatch.setattr(embeddings, "encode", fake_encode)
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monkeypatch.setattr(embeddings, "dim", lambda model_name = None: dim)
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monkeypatch.setattr(
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embeddings,
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"token_counter",
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lambda model_name = None: (lambda t: len(t.split())),
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)
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monkeypatch.setattr(embeddings, "warm", lambda model_name = None: None)
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return dim
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