Files
gpu-rent/tests/test_llm_runtime.py
T
Leonid Pershin 2ab32a8ab5 Refactor LLM configuration to remove llamacpp support
- Removed references to llamacpp from configuration files, scripts, and documentation, streamlining the LLM setup process to focus solely on Ollama.
- Updated environment variables and paths to eliminate llamacpp-related entries, ensuring clarity in the configuration.
- Adjusted CLI commands and help messages to reflect the removal of llamacpp, enhancing user experience and reducing confusion.
- Revised documentation to provide clear guidance on using Ollama exclusively, including updates to setup instructions and runtime options.
2026-08-21 08:51:36 +03:00

58 lines
1.7 KiB
Python

from pathlib import Path
import pytest
from gpu_rent.llm_runtime import (
decide_runtime,
normalize_runtime,
parse_ollama_models,
write_ollama_models_preset,
)
def test_normalize_runtime():
assert normalize_runtime(None) == "none"
assert normalize_runtime("OLLAMA") == "ollama"
with pytest.raises(ValueError):
normalize_runtime("llamacpp")
with pytest.raises(ValueError):
normalize_runtime("foo")
def test_decide_runtime_flags_win():
assert (
decide_runtime(flag=None, ollama_flag=True, from_config="none") == "ollama"
)
assert (
decide_runtime(flag="ollama", ollama_flag=False, from_config="none") == "ollama"
)
assert decide_runtime(flag=None, ollama_flag=False, from_config="ollama") == "ollama"
def test_parse_ollama_models(tmp_path: Path):
path = tmp_path / "m.yaml"
path.write_text(
"models:\n - name: huihui_ai/qwen2.5-abliterate:7b\n default: true\n - qwen2.5:3b\n",
encoding="utf-8",
)
entries = parse_ollama_models(path)
assert [e.name for e in entries] == [
"huihui_ai/qwen2.5-abliterate:7b",
"qwen2.5:3b",
]
assert entries[0].default is True
def test_parse_empty_manifest(tmp_path: Path):
path = tmp_path / "empty.yaml"
path.write_text("models: []\n", encoding="utf-8")
assert parse_ollama_models(path) == []
assert parse_ollama_models(tmp_path / "missing.yaml") == []
def test_write_preset(tmp_path: Path):
path = tmp_path / "out.yaml"
write_ollama_models_preset(path, "recommended")
entries = parse_ollama_models(path)
assert entries[0].name == "huihui_ai/qwen2.5-vl-abliterated:7b"