from pathlib import Path

from chatchat.configs import (
    ConfigBasicFactory,
    ConfigBasic,
    ConfigBasicWorkSpace,
    ConfigModelWorkSpace,
    ConfigModel
)
import os


def test_config_basic_workspace():
    config_basic_workspace: ConfigBasicWorkSpace = ConfigBasicWorkSpace()
    assert config_basic_workspace.get_config() is not None
    base_root = os.path.join(Path(__file__).absolute().parent, "chatchat")
    config_basic_workspace.set_data_path(os.path.join(base_root, "data"))
    config_basic_workspace.set_log_verbose(True)
    config_basic_workspace.set_log_format(" %(message)s")

    config: ConfigBasic = config_basic_workspace.get_config()
    assert config.log_verbose is True
    assert config.DATA_PATH == os.path.join(base_root, "data")
    assert config.IMG_DIR is not None
    assert config.NLTK_DATA_PATH == os.path.join(base_root, "data", "nltk_data")
    assert config.LOG_FORMAT == " %(message)s"
    assert config.LOG_PATH == os.path.join(base_root, "data", "logs")
    assert config.MEDIA_PATH == os.path.join(base_root, "data", "media")

    assert os.path.exists(os.path.join(config.MEDIA_PATH, "image"))
    assert os.path.exists(os.path.join(config.MEDIA_PATH, "audio"))
    assert os.path.exists(os.path.join(config.MEDIA_PATH, "video"))
    config_basic_workspace.clear()


def test_workspace_default():
    from chatchat.configs import (log_verbose, DATA_PATH, IMG_DIR, NLTK_DATA_PATH, LOG_FORMAT, LOG_PATH, MEDIA_PATH)
    assert log_verbose is False
    assert DATA_PATH is not None
    assert IMG_DIR is not None
    assert NLTK_DATA_PATH is not None
    assert LOG_FORMAT is not None
    assert LOG_PATH is not None
    assert MEDIA_PATH is not None


def test_config_model_workspace():

    config_model_workspace: ConfigModelWorkSpace = ConfigModelWorkSpace()

    assert config_model_workspace.get_config() is not None

    config_model_workspace.set_default_llm_model(llm_model="glm4")
    config_model_workspace.set_default_embedding_model(embedding_model="text1")
    config_model_workspace.set_agent_model(agent_model="agent")
    config_model_workspace.set_history_len(history_len=1)
    config_model_workspace.set_max_tokens(max_tokens=1000)
    config_model_workspace.set_temperature(temperature=0.1)
    config_model_workspace.set_support_agent_models(support_agent_models=["glm4"])
    config_model_workspace.set_model_providers_cfg_path_config(model_providers_cfg_path_config="model_providers.yaml")
    config_model_workspace.set_model_providers_cfg_host(model_providers_cfg_host="127.0.0.1")
    config_model_workspace.set_model_providers_cfg_port(model_providers_cfg_port=8000)

    config: ConfigModel = config_model_workspace.get_config()

    assert config.DEFAULT_LLM_MODEL == "glm4"
    assert config.DEFAULT_EMBEDDING_MODEL == "text1"
    assert config.Agent_MODEL == "agent"
    assert config.HISTORY_LEN == 1
    assert config.MAX_TOKENS == 1000
    assert config.TEMPERATURE == 0.1
    assert config.SUPPORT_AGENT_MODELS == ["glm4"]
    assert config.MODEL_PROVIDERS_CFG_PATH_CONFIG == "model_providers.yaml"
    assert config.MODEL_PROVIDERS_CFG_HOST == "127.0.0.1"
    assert config.MODEL_PROVIDERS_CFG_PORT == 8000
    config_model_workspace.clear()


def test_model_config():
    from chatchat.configs import (
        DEFAULT_LLM_MODEL, DEFAULT_EMBEDDING_MODEL, Agent_MODEL, HISTORY_LEN, MAX_TOKENS, TEMPERATURE,
        SUPPORT_AGENT_MODELS, MODEL_PROVIDERS_CFG_PATH_CONFIG, MODEL_PROVIDERS_CFG_HOST, MODEL_PROVIDERS_CFG_PORT,
        TOOL_CONFIG, MODEL_PLATFORMS, LLM_MODEL_CONFIG
    )
    assert DEFAULT_LLM_MODEL is not None
    assert DEFAULT_EMBEDDING_MODEL is not None
    assert Agent_MODEL is None
    assert HISTORY_LEN is not None
    assert MAX_TOKENS is None
    assert TEMPERATURE is not None
    assert SUPPORT_AGENT_MODELS is not None
    assert MODEL_PROVIDERS_CFG_PATH_CONFIG is not None
    assert MODEL_PROVIDERS_CFG_HOST is not None
    assert MODEL_PROVIDERS_CFG_PORT is not None
    assert TOOL_CONFIG is not None
    assert MODEL_PLATFORMS is not None
    assert LLM_MODEL_CONFIG is not None