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修复硬编码错误

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This commit is contained in:
雅诺狐
2025-08-19 18:00:41 +08:00
parent d1efa3b5c1
commit 3dfb138d2c
3 changed files with 433 additions and 52 deletions
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134
src/config/api_ada_configs.py
View File

@@ -88,10 +88,10 @@ class ModelInfo(ValidatedConfigBase):
class TaskConfig(ValidatedConfigBase):
"""任务配置类"""
model_list: List[str] = Field(default_factory=list, description="任务使用的模型列表")
max_tokens: int = Field(default=1024, ge=1, le=100000, description="任务最大输出token数")
temperature: float = Field(default=0.3, ge=0.0, le=2.0, description="模型温度")
concurrency_count: int = Field(default=1, ge=1, le=10, description="并发请求数量，默认为1（不并发）")
model_list: List[str] = Field(..., description="任务使用的模型列表")
max_tokens: int = Field(default=None, ge=1, le=100000, description="任务最大输出token数")
temperature: float = Field(default=None, ge=0.0, le=2.0, description="模型温度")
concurrency_count: int = Field(default=None, ge=1, le=10, description="并发请求数量")
@field_validator('model_list')
@classmethod
@@ -103,22 +103,30 @@ class TaskConfig(ValidatedConfigBase):
raise ValueError("模型列表中不能有重复的模型")
return v
@field_validator('max_tokens')
@classmethod
def validate_max_tokens(cls, v):
"""验证最大token数"""
if v <= 0:
raise ValueError("最大token数必须大于0")
if v > 100000:
raise ValueError("最大token数不能超过100000")
return v
class ModelTaskConfig(ValidatedConfigBase):
"""模型配置类"""
# 必需配置项
utils: TaskConfig = Field(..., description="组件模型配置")
utils_small: TaskConfig = Field(..., description="组件小模型配置")
replyer_1: TaskConfig = Field(..., description="normal_chat首要回复模型模型配置")
replyer_2: TaskConfig = Field(..., description="normal_chat次要回复模型配置")
maizone: TaskConfig = Field(..., description="maizone专用模型")
emotion: TaskConfig = Field(..., description="情绪模型配置")
vlm: TaskConfig = Field(..., description="视觉语言模型配置")
voice: TaskConfig = Field(..., description="语音识别模型配置")
tool_use: TaskConfig = Field(..., description="专注工具使用模型配置")
planner: TaskConfig = Field(..., description="规划模型配置")
embedding: TaskConfig = Field(..., description="嵌入模型配置")
lpmm_entity_extract: TaskConfig = Field(..., description="LPMM实体提取模型配置")
lpmm_rdf_build: TaskConfig = Field(..., description="LPMM RDF构建模型配置")
lpmm_qa: TaskConfig = Field(..., description="LPMM问答模型配置")
schedule_generator: TaskConfig = Field(..., description="日程生成模型配置")
emoji_vlm: TaskConfig = Field(..., description="表情包识别模型配置")
anti_injection: TaskConfig = Field(..., description="反注入检测专用模型配置")
<<<<<<< Updated upstream
# 可选配置项（有默认值）
utils_small: TaskConfig = Field(
default_factory=lambda: TaskConfig(
@@ -240,37 +248,87 @@ class ModelTaskConfig(ValidatedConfigBase):
),
description="日程生成模型配置"
)
=======
# 处理配置文件中命名不一致的问题
utils_video: TaskConfig = Field(..., description="视频分析模型配置（兼容配置文件中的命名）")
>>>>>>> Stashed changes
# 可选配置项（有默认值）
video_analysis: TaskConfig = Field(
default_factory=lambda: TaskConfig(
model_list=["qwen2.5-vl-72b"],
max_tokens=1500,
temperature=0.3
),
description="视频分析模型配置"
)
emoji_vlm: TaskConfig = Field(
default_factory=lambda: TaskConfig(
model_list=["qwen2.5-vl-72b"],
max_tokens=800
),
description="表情包识别模型配置"
)
anti_injection: TaskConfig = Field(
default_factory=lambda: TaskConfig(
model_list=["qwen2.5-vl-72b"],
max_tokens=200,
temperature=0.1
),
description="反注入检测专用模型配置"
)
@property
def video_analysis(self) -> TaskConfig:
"""视频分析模型配置（提供向后兼容的属性访问）"""
return self.utils_video
def get_task(self, task_name: str) -> TaskConfig:
"""获取指定任务的配置"""
# 处理向后兼容性：如果请求video_analysis，返回utils_video
if task_name == "video_analysis":
task_name = "utils_video"
if hasattr(self, task_name):
config = getattr(self, task_name)
if config is None:
raise ValueError(f"任务 '{task_name}' 未配置")
return config
raise ValueError(f"任务 '{task_name}' 未找到对应的配置")
class APIAdapterConfig(ValidatedConfigBase):
"""API Adapter配置类"""
models: List[ModelInfo] = Field(..., min_items=1, description="模型列表")
model_task_config: ModelTaskConfig = Field(..., description="模型任务配置")
api_providers: List[APIProvider] = Field(..., min_items=1, description="API提供商列表")
def __init__(self, **data):
super().__init__(**data)
self.api_providers_dict = {provider.name: provider for provider in self.api_providers}
self.models_dict = {model.name: model for model in self.models}
@field_validator('models')
@classmethod
def validate_models_list(cls, v):
"""验证模型列表"""
if not v:
raise ValueError("模型列表不能为空，请在配置中设置有效的模型列表。")
# 检查模型名称是否重复
model_names = [model.name for model in v]
if len(model_names) != len(set(model_names)):
raise ValueError("模型名称存在重复，请检查配置文件。")
# 检查模型标识符是否有效
for model in v:
if not model.model_identifier:
raise ValueError(f"模型 '{model.name}' 的 model_identifier 不能为空")
return v
@field_validator('api_providers')
@classmethod
def validate_api_providers_list(cls, v):
"""验证API提供商列表"""
if not v:
raise ValueError("API提供商列表不能为空，请在配置中设置有效的API提供商列表。")
# 检查API提供商名称是否重复
provider_names = [provider.name for provider in v]
if len(provider_names) != len(set(provider_names)):
raise ValueError("API提供商名称存在重复，请检查配置文件。")
return v
def get_model_info(self, model_name: str) -> ModelInfo:
"""根据模型名称获取模型信息"""
if not model_name:
raise ValueError("模型名称不能为空")
if model_name not in self.models_dict:
raise KeyError(f"模型 '{model_name}' 不存在")
return self.models_dict[model_name]
def get_provider(self, provider_name: str) -> APIProvider:
"""根据提供商名称获取API提供商信息"""
if not provider_name:
raise ValueError("API提供商名称不能为空")
if provider_name not in self.api_providers_dict:
raise KeyError(f"API提供商 '{provider_name}' 不存在")
return self.api_providers_dict[provider_name]

5
src/config/config.py
View File

@@ -487,10 +487,11 @@ def api_ada_load_config(config_path: str) -> APIAdapterConfig:
with open(config_path, "r", encoding="utf-8") as f:
config_data = tomlkit.load(f)
# 创建APIAdapterConfig对象（各个配置类会自动进行 Pydantic 验证）
config_dict = dict(config_data)
try:
logger.info("正在解析和验证API适配器配置文件...")
config = APIAdapterConfig.from_dict(config_data)
config = APIAdapterConfig.from_dict(config_dict)
logger.info("API适配器配置文件解析和验证完成")
return config
except Exception as e:

346
uv.lock generated
View File

@@ -2,9 +2,15 @@ version = 1
revision = 2
requires-python = ">=3.10"
resolution-markers = [
"python_full_version >= '3.12'",
"python_full_version == '3.11.*'",
"python_full_version < '3.11'",
"python_full_version >= '3.12' and sys_platform == 'darwin'",
"python_full_version >= '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'",
"(python_full_version >= '3.12' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12' and sys_platform != 'darwin' and sys_platform != 'linux')",
"python_full_version == '3.11.*' and sys_platform == 'darwin'",
"python_full_version == '3.11.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
"(python_full_version == '3.11.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.11.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
"python_full_version < '3.11' and sys_platform == 'darwin'",
"python_full_version < '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'",
"(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
]
[[package]]
@@ -180,6 +186,30 @@ wheels = [
{ url = "https://pypi.tuna.tsinghua.edu.cn/packages/fe/ba/e2081de779ca30d473f21f5b30e0e737c438205440784c7dfc81efc2b029/async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c", size = 6233, upload-time = "2024-11-06T16:41:37.9Z" },
]
[[package]]
name = "asyncddgs"
version = "0.1.0a1"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
dependencies = [
{ name = "aiohttp" },
{ name = "fastapi" },
{ name = "lxml" },
{ name = "uvicorn" },
]
sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/97/b1/e9edf63c9a331a57c6e439d133b2c62804177a5897ee79134de2e0e5c42e/asyncddgs-0.1.0a1.tar.gz", hash = "sha256:3f8e10feada699ab1b39a4716f08a65104c07de13ba059fc34edc7cc86aa313c", size = 49598, upload-time = "2025-04-01T09:35:03.463Z" }
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]
[[package]]
name = "asyncio"
version = "4.0.0"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/71/ea/26c489a11f7ca862d5705db67683a7361ce11c23a7b98fc6c2deaeccede2/asyncio-4.0.0.tar.gz", hash = "sha256:570cd9e50db83bc1629152d4d0b7558d6451bb1bfd5dfc2e935d96fc2f40329b", size = 5371, upload-time = "2025-08-05T02:51:46.605Z" }
wheels = [
{ url = "https://pypi.tuna.tsinghua.edu.cn/packages/57/64/eff2564783bd650ca25e15938d1c5b459cda997574a510f7de69688cb0b4/asyncio-4.0.0-py3-none-any.whl", hash = "sha256:c1eddb0659231837046809e68103969b2bef8b0400d59cfa6363f6b5ed8cc88b", size = 5555, upload-time = "2025-08-05T02:51:45.767Z" },
]
[[package]]
name = "attrs"
version = "25.3.0"
@@ -534,6 +564,22 @@ wheels = [
{ url = "https://pypi.tuna.tsinghua.edu.cn/packages/b2/b7/545d2c10c1fc15e48653c91efde329a790f2eecfbbf2bd16003b5db2bab0/dotenv-0.9.9-py2.py3-none-any.whl", hash = "sha256:29cf74a087b31dafdb5a446b6d7e11cbce8ed2741540e2339c69fbef92c94ce9", size = 1892, upload-time = "2025-02-19T22:15:01.647Z" },
]
[[package]]
name = "exa-py"
version = "1.14.20"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
dependencies = [
{ name = "httpx" },
{ name = "openai" },
{ name = "pydantic" },
{ name = "requests" },
{ name = "typing-extensions" },
]
sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/bd/00/b7efa5458c92ac415a334c9b27b0cfd6f0327ee545bd7f4c8639129a0ee0/exa_py-1.14.20.tar.gz", hash = "sha256:423789a0635b7a4ecd5f56d6b4a0dfb01126fa45ce1e04106c0bb96b7d551ebf", size = 35483, upload-time = "2025-07-30T18:52:53.35Z" }
wheels = [
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[[package]]
name = "exceptiongroup"
version = "1.3.0"
@@ -1009,6 +1055,15 @@ wheels = [
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]
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name = "json5"
version = "0.12.1"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/12/ae/929aee9619e9eba9015207a9d2c1c54db18311da7eb4dcf6d41ad6f0eb67/json5-0.12.1.tar.gz", hash = "sha256:b2743e77b3242f8d03c143dd975a6ec7c52e2f2afe76ed934e53503dd4ad4990", size = 52191, upload-time = "2025-08-12T19:47:42.583Z" }
wheels = [
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[[package]]
name = "jsonlines"
version = "4.0.0"
@@ -1121,6 +1176,80 @@ wheels = [
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[[package]]
name = "lxml"
version = "6.0.0"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/c5/ed/60eb6fa2923602fba988d9ca7c5cdbd7cf25faa795162ed538b527a35411/lxml-6.0.0.tar.gz", hash = "sha256:032e65120339d44cdc3efc326c9f660f5f7205f3a535c1fdbf898b29ea01fb72", size = 4096938, upload-time = "2025-06-26T16:28:19.373Z" }
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