mirror of
https://github.com/open-jarvis/OpenJarvis.git
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Jon Saad-FalconandClaude Opus 4.6
301e9cd2d4
Complete implementation across six development phases (v0.1 through v1.0): - Core: Registry system, config, event bus, types (Phase 0) - Intelligence + Inference: Model routing, Ollama/vLLM/llama.cpp/Cloud engines (Phase 1) - Memory: SQLite/FAISS/ColBERT/BM25/Hybrid backends, document ingest, context injection (Phase 2) - Agents: Simple/Orchestrator/Custom/OpenClaw agents, tool system (Phase 3) - Learning: HeuristicRouter, reward functions, GRPO stub, telemetry aggregation (Phase 4) - SDK: Jarvis class, OpenClaw protocol/transport, benchmarks, Docker deployment (Phase 5) 520 tests passing, 8 skipped (optional deps). Ruff lint clean. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
83 lines
2.6 KiB
Python
83 lines
2.6 KiB
Python
"""Tests for ``jarvis model`` subcommands."""
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from __future__ import annotations
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import importlib
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from unittest import mock
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from click.testing import CliRunner
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from openjarvis.cli import cli
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from openjarvis.core.config import JarvisConfig
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# Import the actual module (not the Click group attribute)
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_model_mod = importlib.import_module("openjarvis.cli.model")
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def _mock_engine():
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"""Create a mock engine with list_models and health."""
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engine = mock.MagicMock()
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engine.engine_id = "mock"
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engine.health.return_value = True
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engine.list_models.return_value = ["model-a", "model-b"]
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return engine
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class TestModelList:
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def test_list_from_mock_engine(self, monkeypatch) -> None:
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cfg = JarvisConfig()
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monkeypatch.setattr(_model_mod, "load_config", lambda: cfg)
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fake = _mock_engine()
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monkeypatch.setattr(
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_model_mod, "discover_engines",
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lambda c: [("mock", fake)],
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)
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monkeypatch.setattr(
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_model_mod, "discover_models",
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lambda e: {"mock": ["model-a", "model-b"]},
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)
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result = CliRunner().invoke(cli, ["model", "list"])
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assert result.exit_code == 0
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assert "model-a" in result.output
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def test_no_engines_message(self, monkeypatch) -> None:
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cfg = JarvisConfig()
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monkeypatch.setattr(_model_mod, "load_config", lambda: cfg)
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monkeypatch.setattr(
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_model_mod, "discover_engines", lambda c: []
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)
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result = CliRunner().invoke(cli, ["model", "list"])
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assert result.exit_code == 0
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assert "No inference engines" in result.output
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class TestModelInfo:
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def test_info_known_model(self, monkeypatch) -> None:
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cfg = JarvisConfig()
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monkeypatch.setattr(_model_mod, "load_config", lambda: cfg)
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monkeypatch.setattr(
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_model_mod, "discover_engines", lambda c: []
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)
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monkeypatch.setattr(
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_model_mod, "discover_models", lambda e: {}
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)
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result = CliRunner().invoke(
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cli, ["model", "info", "qwen3:8b"]
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)
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assert result.exit_code == 0
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assert "Qwen3 8B" in result.output
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def test_unknown_model_not_found(self, monkeypatch) -> None:
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cfg = JarvisConfig()
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monkeypatch.setattr(_model_mod, "load_config", lambda: cfg)
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monkeypatch.setattr(
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_model_mod, "discover_engines", lambda c: []
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)
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monkeypatch.setattr(
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_model_mod, "discover_models", lambda e: {}
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)
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result = CliRunner().invoke(
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cli, ["model", "info", "nonexistent-model"]
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)
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assert result.exit_code != 0
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