57299fda8d
- 在 docker-compose.yml 中新增测试目录挂载。 - 修改 __init__.py 文件，更新配置文件路径以使用 save_dir 变量。 - 更新 logging_config.py 文件，调整日志文件路径至 tmp/logs，并确保相应目录存在。 - 移动 test/test_neo4j.py 文件
240 lines
10 KiB
Python
240 lines
10 KiB
Python
import os
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import json
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import yaml
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from pathlib import Path
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from src.utils.logging_config import logger
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DEFAULT_MOCK_API = 'this_is_mock_api_key_in_frontend'
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class SimpleConfig(dict):
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def __key(self, key):
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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
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def __str__(self):
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return json.dumps(self)
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def __setattr__(self, key, value):
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self[self.__key(key)] = value
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def __getattr__(self, key):
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return self.get(self.__key(key))
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def __getitem__(self, key):
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return self.get(self.__key(key))
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def __setitem__(self, key, value):
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return super().__setitem__(self.__key(key), value)
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def __dict__(self):
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return {k: v for k, v in self.items()}
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def update(self, other):
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for key, value in other.items():
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self[key] = value
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class Config(SimpleConfig):
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def __init__(self):
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super().__init__()
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self._config_items = {}
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self.save_dir = "saves"
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self.filename = str(Path(f"{self.save_dir}/config/base.yaml"))
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os.makedirs(os.path.dirname(self.filename), exist_ok=True)
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self._update_models_from_file()
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### >>> 默认配置
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# 功能选项
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self.add_item("enable_reranker", default=False, des="是否开启重排序")
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self.add_item("enable_knowledge_base", default=False, des="是否开启知识库")
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self.add_item("enable_knowledge_graph", default=False, des="是否开启知识图谱")
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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）") # noqa: E501
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# 默认智能体配置
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self.add_item("default_agent_id", default="", des="默认智能体ID")
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# 模型配置
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## 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
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## 如果需要自定义本地模型路径，则在 src/.env 中配置 MODEL_DIR
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self.add_item("model_provider", default="siliconflow", des="模型提供商", choices=list(self.model_names.keys()))
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self.add_item("model_name", default="Qwen/Qwen2.5-7B-Instruct", des="模型名称")
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self.add_item("embed_model", default="siliconflow/BAAI/bge-m3", des="Embedding 模型", choices=list(self.embed_model_names.keys()))
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self.add_item("reranker", default="siliconflow/BAAI/bge-reranker-v2-m3", des="Re-Ranker 模型", choices=list(self.reranker_names.keys())) # noqa: E501
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self.add_item("model_local_paths", default={}, des="本地模型路径")
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self.add_item("use_rewrite_query", default="on", des="重写查询", choices=["off", "on", "hyde"])
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self.add_item("device", default="cuda", des="运行本地模型的设备", choices=["cpu", "cuda"])
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### <<< 默认配置结束
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self.load()
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self.handle_self()
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def add_item(self, key, default, des=None, choices=None):
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self.__setattr__(key, default)
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self._config_items[key] = {
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"default": default,
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"des": des,
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"choices": choices
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}
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def __dict__(self):
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blocklist = [
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"_config_items",
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"model_names",
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"model_provider_status",
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"embed_model_names",
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"reranker_names",
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]
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return {k: v for k, v in self.items() if k not in blocklist}
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def _update_models_from_file(self):
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"""
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从 models.yaml 和 models.private.yml 中更新 MODEL_NAMES
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"""
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with open(Path("src/static/models.yaml"), encoding='utf-8') as f:
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_models = yaml.safe_load(f)
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# 尝试打开一个 models.private.yml 文件，用来覆盖 models.yaml 中的配置
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try:
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with open(Path("src/static/models.private.yml"), encoding='utf-8') as f:
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_models_private = yaml.safe_load(f)
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except FileNotFoundError:
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_models_private = {}
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# 修改为按照子元素合并
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# _models = {**_models, **_models_private}
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self.model_names = {**_models["MODEL_NAMES"], **_models_private.get("MODEL_NAMES", {})}
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self.embed_model_names = {**_models["EMBED_MODEL_INFO"], **_models_private.get("EMBED_MODEL_INFO", {})}
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self.reranker_names = {**_models["RERANKER_LIST"], **_models_private.get("RERANKER_LIST", {})}
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def _save_models_to_file(self):
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_models = {
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"MODEL_NAMES": self.model_names,
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"EMBED_MODEL_INFO": self.embed_model_names,
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"RERANKER_LIST": self.reranker_names,
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}
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with open(Path("src/static/models.private.yml"), 'w', encoding='utf-8') as f:
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yaml.dump(_models, f, indent=2, allow_unicode=True)
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def handle_self(self):
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"""
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处理配置
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"""
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model_provider_info = self.model_names.get(self.model_provider, {})
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self.model_dir = os.environ.get("MODEL_DIR", "")
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if self.model_dir:
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if os.path.exists(self.model_dir):
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logger.debug(f"The model directory （{self.model_dir}） contains the following folders: {os.listdir(self.model_dir)}")
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else:
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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;"
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"For example, the mapping in the docker-compose file")
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# 检查模型提供商是否存在
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if self.model_provider != "custom":
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if self.model_name not in model_provider_info["models"]:
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logger.warning(f"Model name {self.model_name} not in {self.model_provider}, using default model name")
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self.model_name = model_provider_info["default"]
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default_model_name = model_provider_info["default"]
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self.model_name = self.get("model_name") or default_model_name
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else:
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self.model_name = self.get("model_name")
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if self.model_name not in [item["custom_id"] for item in self.get("custom_models", [])]:
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logger.warning(f"Model name {self.model_name} not in custom models, using default model name")
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if self.get("custom_models", []):
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self.model_name = self.get("custom_models", [])[0]["custom_id"]
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else:
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self.model_name = self._config_items["model_name"]["default"]
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self.model_provider = self._config_items["model_provider"]["default"]
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logger.error(f"No custom models found, using default model {self.model_name} from {self.model_provider}")
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# 检查模型提供商的环境变量
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conds = {}
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self.model_provider_status = {}
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for provider in self.model_names:
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conds[provider] = self.model_names[provider]["env"]
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conds_bool = [bool(os.getenv(_k)) for _k in conds[provider]]
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self.model_provider_status[provider] = all(conds_bool)
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# 检查web_search的环境变量
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# if self.enable_web_search and not os.getenv("TAVILY_API_KEY"):
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# logger.warning("TAVILY_API_KEY not set, web search will be disabled")
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# self.enable_web_search = False
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# 2025.04.08 修改为不手动配置，只要配置了TAVILY_API_KEY，就默认开启web_search
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if os.getenv("TAVILY_API_KEY"):
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self.enable_web_search = True
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self.valuable_model_provider = [k for k, v in self.model_provider_status.items() if v]
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assert len(self.valuable_model_provider) > 0, f"No model provider available, please check your `.env` file. API_KEY_LIST: {conds}"
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def load(self):
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"""根据传入的文件覆盖掉默认配置"""
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logger.info(f"Loading config from {self.filename}")
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if self.filename is not None and os.path.exists(self.filename):
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if self.filename.endswith(".json"):
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with open(self.filename) as f:
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content = f.read()
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if content:
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local_config = json.loads(content)
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self.update(local_config)
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else:
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print(f"{self.filename} is empty.")
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elif self.filename.endswith(".yaml"):
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with open(self.filename) as f:
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content = f.read()
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if content:
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local_config = yaml.safe_load(content)
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self.update(local_config)
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else:
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print(f"{self.filename} is empty.")
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else:
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logger.warning(f"Unknown config file type {self.filename}")
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def save(self):
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logger.info(f"Saving config to {self.filename}")
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if self.filename is None:
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logger.warning("Config file is not specified, save to default config/base.yaml")
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self.filename = os.path.join(self.save_dir, "config", "base.yaml")
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os.makedirs(os.path.dirname(self.filename), exist_ok=True)
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if self.filename.endswith(".json"):
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with open(self.filename, 'w+') as f:
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json.dump(self.__dict__(), f, indent=4, ensure_ascii=False)
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elif self.filename.endswith(".yaml"):
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with open(self.filename, 'w+') as f:
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yaml.dump(self.__dict__(), f, indent=2, allow_unicode=True)
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else:
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logger.warning(f"Unknown config file type {self.filename}, save as json")
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with open(self.filename, 'w+') as f:
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json.dump(self, f, indent=4)
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logger.info(f"Config file {self.filename} saved")
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def dump_config(self):
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return json.loads(str(self))
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def compare_custom_models(self, value):
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"""
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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
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如果输入的 api_key 为 DEFAULT_MOCK_API，则使用当前的 api_key
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"""
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current_models_dict = {model["custom_id"]: model.get("api_key") for model in self.get("custom_models", [])}
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for i, model in enumerate(value):
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input_custom_id = model.get("custom_id")
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input_api_key = model.get("api_key")
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if input_custom_id in current_models_dict:
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current_api_key = current_models_dict[input_custom_id]
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if input_api_key == DEFAULT_MOCK_API or input_api_key == current_api_key:
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value[i]["api_key"] = current_api_key
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return value
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