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chore: import upstream snapshot with attribution
2026-07-13 13:00:43 +08:00

95 lines
2.6 KiB
Python

from pathlib import Path
import pytest
import yaml
from deeptutor.utils.config_manager import ConfigManager
def write_yaml(path: Path, data: dict) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(yaml.safe_dump(data, sort_keys=False), encoding="utf-8")
@pytest.fixture(autouse=True)
def reset_config_manager_singleton():
ConfigManager.reset_for_tests()
yield
ConfigManager.reset_for_tests()
def test_atomic_save_and_deep_merge(tmp_path: Path):
project = tmp_path
cfg_path = project / "data" / "user" / "settings" / "main.yaml"
base_cfg = {
"llm": {"model": "Pro/Flash", "provider": "openai"},
"paths": {
"user_data_dir": "./data/user",
"knowledge_bases_dir": "./data/knowledge_bases",
"user_log_dir": "./data/user/logs",
},
}
write_yaml(cfg_path, base_cfg)
cm = ConfigManager(project_root=project)
loaded = cm.load_config(force_reload=True)
assert loaded["llm"]["model"] == "Pro/Flash"
# Deep merge update
assert cm.save_config({"llm": {"model": "Other"}, "features": {"enable_solve": True}})
updated = cm.load_config(force_reload=True)
assert updated["llm"]["model"] == "Other"
assert updated["llm"]["provider"] == "openai"
assert updated["features"]["enable_solve"] is True
def test_env_info_reads_project_model_catalog(tmp_path: Path):
project = tmp_path
# Minimal valid config for schema
settings_dir = project / "data" / "user" / "settings"
cfg_path = settings_dir / "main.yaml"
base_cfg = {
"llm": {"model": "Pro/Flash", "provider": "openai"},
"paths": {
"user_data_dir": "./data/user",
"knowledge_bases_dir": "./data/knowledge_bases",
"user_log_dir": "./data/user/logs",
},
}
write_yaml(cfg_path, base_cfg)
(settings_dir / "model_catalog.json").write_text(
"""
{
"version": 1,
"services": {
"llm": {
"active_profile_id": "llm-p",
"active_model_id": "llm-m",
"profiles": [
{
"id": "llm-p",
"name": "LLM",
"binding": "openai",
"base_url": "https://example.test/v1",
"api_key": "sk-test",
"api_version": "",
"extra_headers": {},
"models": [{"id": "llm-m", "name": "Base", "model": "Base"}]
}
]
},
"embedding": {"active_profile_id": null, "active_model_id": null, "profiles": []},
"search": {"active_profile_id": null, "profiles": []}
}
}
""",
encoding="utf-8",
)
cm = ConfigManager(project_root=project)
env = cm.get_env_info()
assert env["model"] == "Base"