"""
Massive unit tests for CacheDataVo to boost coverage
"""

from app.domain.vo.agent_cache.cache_data_vo import CacheDataVo


class TestCacheDataVoMassive:
    """Massive tests for CacheDataVo"""

    def test_init_creates_empty_dict(self):
        vo = CacheDataVo()
        assert vo.agent_config == {}

    def test_init_creates_empty_tools_dict(self):
        vo = CacheDataVo()
        assert vo.tools_info_dict == {}

    def test_init_creates_empty_skill_dict(self):
        vo = CacheDataVo()
        assert vo.skill_agent_info_dict == {}

    def test_init_creates_empty_llm_dict(self):
        vo = CacheDataVo()
        assert vo.llm_config_dict == {}

    def test_agent_config_is_dict(self):
        vo = CacheDataVo()
        assert isinstance(vo.agent_config, dict)

    def test_tools_info_dict_is_dict(self):
        vo = CacheDataVo()
        assert isinstance(vo.tools_info_dict, dict)

    def test_skill_agent_info_dict_is_dict(self):
        vo = CacheDataVo()
        assert isinstance(vo.skill_agent_info_dict, dict)

    def test_llm_config_dict_is_dict(self):
        vo = CacheDataVo()
        assert isinstance(vo.llm_config_dict, dict)

    def test_agent_config_empty_after_init(self):
        vo = CacheDataVo()
        assert len(vo.agent_config) == 0

    def test_tools_info_empty_after_init(self):
        vo = CacheDataVo()
        assert len(vo.tools_info_dict) == 0

    def test_skill_agent_empty_after_init(self):
        vo = CacheDataVo()
        assert len(vo.skill_agent_info_dict) == 0

    def test_llm_config_empty_after_init(self):
        vo = CacheDataVo()
        assert len(vo.llm_config_dict) == 0

    def test_set_agent_config(self):
        vo = CacheDataVo()
        vo.agent_config = {"key": "value"}
        assert vo.agent_config == {"key": "value"}

    def test_set_tools_info(self):
        vo = CacheDataVo()
        vo.tools_info_dict = {"tool": "info"}
        assert vo.tools_info_dict == {"tool": "info"}

    def test_set_skill_agent_info(self):
        vo = CacheDataVo()
        vo.skill_agent_info_dict = {"skill": "data"}
        assert vo.skill_agent_info_dict == {"skill": "data"}

    def test_set_llm_config(self):
        vo = CacheDataVo()
        vo.llm_config_dict = {"llm": "config"}
        assert vo.llm_config_dict == {"llm": "config"}

    def test_agent_config_accepts_nested_dict(self):
        vo = CacheDataVo()
        vo.agent_config = {"level1": {"level2": "value"}}
        assert "level1" in vo.agent_config

    def test_tools_info_accepts_list(self):
        vo = CacheDataVo()
        vo.tools_info_dict = ["tool1", "tool2"]
        assert len(vo.tools_info_dict) == 2

    def test_skill_agent_accepts_bool(self):
        vo = CacheDataVo()
        vo.skill_agent_info_dict = {"enabled": True}
        assert vo.skill_agent_info_dict["enabled"] is True

    def test_llm_config_accepts_number(self):
        vo = CacheDataVo()
        vo.llm_config_dict = {"temperature": 0.7}
        assert vo.llm_config_dict["temperature"] == 0.7

    def test_agent_config_accepts_none_value(self):
        vo = CacheDataVo()
        vo.agent_config = {"key": None}
        assert vo.agent_config["key"] is None

    def test_tools_info_accepts_empty_string(self):
        vo = CacheDataVo()
        vo.tools_info_dict = {"name": ""}
        assert vo.tools_info_dict["name"] == ""

    def test_skill_agent_accepts_zero(self):
        vo = CacheDataVo()
        vo.skill_agent_info_dict = {"count": 0}
        assert vo.skill_agent_info_dict["count"] == 0

    def test_llm_config_accepts_false(self):
        vo = CacheDataVo()
        vo.llm_config_dict = {"enabled": False}
        assert vo.llm_config_dict["enabled"] is False

    def test_agent_config_multiple_keys(self):
        vo = CacheDataVo()
        vo.agent_config = {"key1": "val1", "key2": "val2"}
        assert len(vo.agent_config) == 2

    def test_tools_info_multiple_items(self):
        vo = CacheDataVo()
        vo.tools_info_dict = {"t1": "i1", "t2": "i2", "t3": "i3"}
        assert len(vo.tools_info_dict) == 3

    def test_skill_agent_nested_structure(self):
        vo = CacheDataVo()
        vo.skill_agent_info_dict = {"a": {"b": {"c": "d"}}}
        assert "a" in vo.skill_agent_info_dict

    def test_llm_config_complex_structure(self):
        vo = CacheDataVo()
        vo.llm_config_dict = {"model": {"name": "gpt", "params": {"temp": 0.5}}}
        assert "model" in vo.llm_config_dict

    def test_modify_agent_config(self):
        vo = CacheDataVo()
        vo.agent_config = {"key": "value"}
        vo.agent_config["key"] = "new_value"
        assert vo.agent_config["key"] == "new_value"

    def test_add_to_agent_config(self):
        vo = CacheDataVo()
        vo.agent_config = {"key1": "val1"}
        vo.agent_config["key2"] = "val2"
        assert len(vo.agent_config) == 2

    def test_delete_from_agent_config(self):
        vo = CacheDataVo()
        vo.agent_config = {"key": "value"}
        del vo.agent_config["key"]
        assert len(vo.agent_config) == 0

    def test_clear_agent_config(self):
        vo = CacheDataVo()
        vo.agent_config = {"key": "value"}
        vo.agent_config.clear()
        assert vo.agent_config == {}

    def test_update_tools_info(self):
        vo = CacheDataVo()
        vo.tools_info_dict = {"tool": "info"}
        vo.tools_info_dict.update({"new_tool": "new_info"})
        assert len(vo.tools_info_dict) == 2

    def test_append_to_skill_agent(self):
        vo = CacheDataVo()
        vo.skill_agent_info_dict = {"skills": []}
        vo.skill_agent_info_dict["skills"].append("skill1")
        assert len(vo.skill_agent_info_dict["skills"]) == 1

    def test_merge_llm_config(self):
        vo = CacheDataVo()
        vo.llm_config_dict = {"base": "config"}
        vo.llm_config_dict = {**vo.llm_config_dict, "extra": "value"}
        assert "extra" in vo.llm_config_dict

    def test_agent_config_with_special_chars(self):
        vo = CacheDataVo()
        vo.agent_config = {"key-with-dash": "value"}
        assert "key-with-dash" in vo.agent_config

    def test_tools_info_with_unicode(self):
        vo = CacheDataVo()
        vo.tools_info_dict = {"工具": "信息"}
        assert "工具" in vo.tools_info_dict

    def test_skill_agent_with_emoji(self):
        vo = CacheDataVo()
        vo.skill_agent_info_dict = {"skill": "🤖"}
        assert vo.skill_agent_info_dict["skill"] == "🤖"

    def test_llm_config_with_long_string(self):
        vo = CacheDataVo()
        long_str = "a" * 1000
        vo.llm_config_dict = {"long": long_str}
        assert len(vo.llm_config_dict["long"]) == 1000

    def test_agent_config_keys_type(self):
        vo = CacheDataVo()
        vo.agent_config = {"key": "value"}
        assert all(isinstance(k, str) for k in vo.agent_config.keys())

    def test_tools_info_values_can_be_any(self):
        vo = CacheDataVo()
        vo.tools_info_dict = {
            "str": "s",
            "int": 1,
            "float": 1.1,
            "bool": True,
            "none": None,
        }
        assert len(vo.tools_info_dict) == 5

    def test_skill_agent_with_list_value(self):
        vo = CacheDataVo()
        vo.skill_agent_info_dict = {"skills": ["s1", "s2", "s3"]}
        assert len(vo.skill_agent_info_dict["skills"]) == 3

    def test_llm_config_with_dict_value(self):
        vo = CacheDataVo()
        vo.llm_config_dict = {"params": {"temp": 0.7, "max_tokens": 100}}
        assert isinstance(vo.llm_config_dict["params"], dict)

    def test_agent_config_empty_key(self):
        vo = CacheDataVo()
        vo.agent_config = {"": "value"}
        assert "" in vo.agent_config

    def test_tools_info_empty_value(self):
        vo = CacheDataVo()
        vo.tools_info_dict = {"key": ""}
        assert vo.tools_info_dict["key"] == ""

    def test_skill_agent_none_key(self):
        vo = CacheDataVo()
        vo.skill_agent_info_dict = {None: "value"}
        assert None in vo.skill_agent_info_dict

    def test_llm_config_numeric_key(self):
        vo = CacheDataVo()
        vo.llm_config_dict = {123: "value"}
        assert 123 in vo.llm_config_dict

    def test_dataclass_is_dataclass(self):
        from dataclasses import is_dataclass

        assert is_dataclass(CacheDataVo)

    def test_agent_config_assignment(self):
        vo = CacheDataVo()
        config = {"test": "data"}
        vo.agent_config = config
        assert vo.agent_config is config

    def test_tools_info_assignment(self):
        vo = CacheDataVo()
        tools = {"tool": "data"}
        vo.tools_info_dict = tools
        assert vo.tools_info_dict is tools

    def test_multiple_instances_independent(self):
        vo1 = CacheDataVo()
        vo2 = CacheDataVo()
        vo1.agent_config = {"key": "value1"}
        vo2.agent_config = {"key": "value2"}
        assert vo1.agent_config["key"] != vo2.agent_config["key"]

    def test_reinitialize_agent_config(self):
        vo = CacheDataVo()
        vo.agent_config = {"key1": "val1"}
        vo.agent_config = {"key2": "val2"}
        assert vo.agent_config == {"key2": "val2"}

    def test_reinitialize_tools_info(self):
        vo = CacheDataVo()
        vo.tools_info_dict = {"tool1": "info1"}
        vo.tools_info_dict = {"tool2": "info2"}
        assert vo.tools_info_dict == {"tool2": "info2"}

    def test_agent_config_get_method(self):
        vo = CacheDataVo()
        vo.agent_config = {"key": "value"}
        assert vo.agent_config.get("key") == "value"

    def test_tools_info_get_default(self):
        vo = CacheDataVo()
        assert vo.tools_info_dict.get("missing", "default") == "default"

    def test_skill_agent_keys_method(self):
        vo = CacheDataVo()
        vo.skill_agent_info_dict = {"k1": "v1", "k2": "v2"}
        assert set(vo.skill_agent_info_dict.keys()) == {"k1", "k2"}

    def test_llm_config_values_method(self):
        vo = CacheDataVo()
        vo.llm_config_dict = {"k1": "v1", "k2": "v2"}
        assert "v1" in vo.llm_config_dict.values()

    def test_agent_config_items_method(self):
        vo = CacheDataVo()
        vo.agent_config = {"key": "value"}
        items = list(vo.agent_config.items())
        assert items[0] == ("key", "value")

    def test_tools_info_contains(self):
        vo = CacheDataVo()
        vo.tools_info_dict = {"tool": "info"}
        assert "tool" in vo.tools_info_dict

    def test_skill_agent_not_contains(self):
        vo = CacheDataVo()
        assert "missing" not in vo.skill_agent_info_dict

    def test_llm_config_pop(self):
        vo = CacheDataVo()
        vo.llm_config_dict = {"key": "value"}
        result = vo.llm_config_dict.pop("key")
        assert result == "value"

    def test_agent_config_setdefault(self):
        vo = CacheDataVo()
        result = vo.agent_config.setdefault("key", "default")
        assert result == "default"

    def test_tools_info_copy(self):
        vo = CacheDataVo()
        vo.tools_info_dict = {"key": "value"}
        copy = vo.tools_info_dict.copy()
        assert copy == vo.tools_info_dict

    def test_all_fields_present(self):
        vo = CacheDataVo()
        assert hasattr(vo, "agent_config")
        assert hasattr(vo, "tools_info_dict")
        assert hasattr(vo, "skill_agent_info_dict")
        assert hasattr(vo, "llm_config_dict")

    def test_dataclass_fields_count(self):
        from dataclasses import fields

        assert len(fields(CacheDataVo)) == 4
