ForcePilot/src/config/__init__.py

import json
import os
from pathlib import Path

import yaml

from src.utils.logging_config import logger

DEFAULT_MOCK_API = "this_is_mock_api_key_in_frontend"


class SimpleConfig(dict):
    def __key(self, key):
        return "" if key is None else key  # 目前忘记了这里为什么要 lower 了，只能说配置项最好不要有大写的

    def __str__(self):
        return json.dumps(self)

    def __setattr__(self, key, value):
        self[self.__key(key)] = value

    def __getattr__(self, key):
        return self.get(self.__key(key))

    def __getitem__(self, key):
        return self.get(self.__key(key))

    def __setitem__(self, key, value):
        return super().__setitem__(self.__key(key), value)

    def __dict__(self):
        return {k: v for k, v in self.items()}

    def update(self, other):
        for key, value in other.items():
            self[key] = value


class Config(SimpleConfig):
    def __init__(self):
        super().__init__()
        self._config_items = {}
        self.save_dir = os.getenv("SAVE_DIR", "saves")
        self.filename = str(Path(f"{self.save_dir}/config/base.yaml"))
        os.makedirs(os.path.dirname(self.filename), exist_ok=True)

        self._update_models_from_file()

        ### >>> 默认配置
        # 功能选项
        self.add_item("enable_reranker", default=False, des="是否开启重排序")
        self.add_item(
            "enable_web_search",
            default=False,
            des=(
                "是否开启网页搜索（注：现阶段会根据 TAVILY_API_KEY 自动开启，无法手动配置，将会在下个版本移除此配置项）"
            ),
        )
        # 默认智能体配置
        self.add_item("default_agent_id", default="", des="默认智能体ID")
        # 模型配置
        ## 注意这里是模型名，而不是具体的模型路径，默认使用 HuggingFace 的路径
        ## 如果需要自定义本地模型路径，则在 src/.env 中配置 MODEL_DIR
        self.add_item("model_provider", default="siliconflow", des="模型提供商", choices=list(self.model_names.keys()))
        self.add_item("model_name", default="zai-org/GLM-4.5", des="模型名称")

        self.add_item(
            "embed_model",
            default="siliconflow/BAAI/bge-m3",
            des="Embedding 模型",
            choices=list(self.embed_model_names.keys()),
        )
        self.add_item(
            "reranker",
            default="siliconflow/BAAI/bge-reranker-v2-m3",
            des="Re-Ranker 模型",
            choices=list(self.reranker_names.keys()),
        )  # noqa: E501
        ### <<< 默认配置结束

        self.load()
        self.handle_self()

    def add_item(self, key, default, des=None, choices=None):
        self.__setattr__(key, default)
        self._config_items[key] = {"default": default, "des": des, "choices": choices}

    def __dict__(self):
        blocklist = [
            "_config_items",
            "model_names",
            "model_provider_status",
            "embed_model_names",
            "reranker_names",
        ]
        return {k: v for k, v in self.items() if k not in blocklist}

    def _update_models_from_file(self):
        """
        从 models.yaml 和 models.private.yml 中更新 MODEL_NAMES
        """

        with open(Path("src/static/models.yaml"), encoding="utf-8") as f:
            _models = yaml.safe_load(f)

        # 尝试打开一个 models.private.yml 文件，用来覆盖 models.yaml 中的配置
        try:
            with open(Path("src/static/models.private.yml"), encoding="utf-8") as f:
                _models_private = yaml.safe_load(f)
        except FileNotFoundError:
            _models_private = {}

        # 修改为按照子元素合并
        # _models = {**_models, **_models_private}

        self.model_names = {**_models["MODEL_NAMES"], **_models_private.get("MODEL_NAMES", {})}
        self.embed_model_names = {**_models["EMBED_MODEL_INFO"], **_models_private.get("EMBED_MODEL_INFO", {})}
        self.reranker_names = {**_models["RERANKER_LIST"], **_models_private.get("RERANKER_LIST", {})}

    def _save_models_to_file(self):
        _models = {
            "MODEL_NAMES": self.model_names,
            "EMBED_MODEL_INFO": self.embed_model_names,
            "RERANKER_LIST": self.reranker_names,
        }
        with open(Path("src/static/models.private.yml"), "w", encoding="utf-8") as f:
            yaml.dump(_models, f, indent=2, allow_unicode=True)

    def handle_self(self):
        """
        处理配置
        """
        self.model_dir = os.environ.get("MODEL_DIR", "")

        if self.model_dir:
            if os.path.exists(self.model_dir):
                logger.debug(
                    f"The model directory （{self.model_dir}） "
                    f"contains the following folders: {os.listdir(self.model_dir)}"
                )
            else:
                logger.warning(
                    f"Warning: The model directory （{self.model_dir}） does not exist. "
                    "If not configured, please ignore it. "
                    "If configured, please check if the configuration is correct; "
                    "For example, the mapping in the docker-compose file"
                )

        # 检查模型提供商的环境变量
        conds = {}
        self.model_provider_status = {}
        for provider in self.model_names:
            conds[provider] = self.model_names[provider]["env"]
            conds_bool = [bool(os.getenv(_k)) for _k in conds[provider]]
            self.model_provider_status[provider] = all(conds_bool)

        if os.getenv("TAVILY_API_KEY"):
            self.enable_web_search = True

        self.valuable_model_provider = [k for k, v in self.model_provider_status.items() if v]
        assert len(self.valuable_model_provider) > 0, (
            f"No model provider available, please check your `.env` file. API_KEY_LIST: {conds}"
        )

    def load(self):
        """根据传入的文件覆盖掉默认配置"""
        logger.info(f"Loading config from {self.filename}")
        if self.filename is not None and os.path.exists(self.filename):
            if self.filename.endswith(".json"):
                with open(self.filename) as f:
                    content = f.read()
                    if content:
                        local_config = json.loads(content)
                        self.update(local_config)
                    else:
                        print(f"{self.filename} is empty.")

            elif self.filename.endswith(".yaml"):
                with open(self.filename) as f:
                    content = f.read()
                    if content:
                        local_config = yaml.safe_load(content)
                        self.update(local_config)
                    else:
                        print(f"{self.filename} is empty.")
            else:
                logger.warning(f"Unknown config file type {self.filename}")

    def save(self):
        logger.info(f"Saving config to {self.filename}")
        if self.filename is None:
            logger.warning("Config file is not specified, save to default config/base.yaml")
            self.filename = os.path.join(self.save_dir, "config", "base.yaml")
            os.makedirs(os.path.dirname(self.filename), exist_ok=True)

        if self.filename.endswith(".json"):
            with open(self.filename, "w+") as f:
                json.dump(self.__dict__(), f, indent=4, ensure_ascii=False)
        elif self.filename.endswith(".yaml"):
            with open(self.filename, "w+") as f:
                yaml.dump(self.__dict__(), f, indent=2, allow_unicode=True)
        else:
            logger.warning(f"Unknown config file type {self.filename}, save as json")
            with open(self.filename, "w+") as f:
                json.dump(self, f, indent=4)

        logger.info(f"Config file {self.filename} saved")

    def dump_config(self):
        return json.loads(str(self))

    def compare_custom_models(self, value):
        """
        比较 custom_models 中的 api_key，如果输入的 api_key 与当前的 api_key 相同，则不修改
        如果输入的 api_key 为 DEFAULT_MOCK_API，则使用当前的 api_key
        """
        current_models_dict = {model["custom_id"]: model.get("api_key") for model in self.get("custom_models", [])}

        for i, model in enumerate(value):
            input_custom_id = model.get("custom_id")
            input_api_key = model.get("api_key")

            if input_custom_id in current_models_dict:
                current_api_key = current_models_dict[input_custom_id]
                if input_api_key == DEFAULT_MOCK_API or input_api_key == current_api_key:
                    value[i]["api_key"] = current_api_key

        return value