feat: Add base project structure with API and web components

This commit is contained in:
Ke Sun
2025-12-02 20:28:01 +08:00
parent f3de6d6cc9
commit c1adc62ec6
817 changed files with 111226 additions and 106 deletions

View File

@@ -0,0 +1,386 @@
from sqlalchemy.orm import Session, joinedload
from sqlalchemy import and_, or_, func, desc
from typing import List, Optional, Dict, Any, Tuple
import uuid
from app.models.models_model import ModelConfig, ModelApiKey, ModelType, ModelProvider
from app.schemas.model_schema import (
ModelConfigCreate, ModelConfigUpdate, ModelApiKeyCreate, ModelApiKeyUpdate,
ModelConfigQuery
)
from app.core.logging_config import get_db_logger
# 获取数据库专用日志器
db_logger = get_db_logger()
class ModelConfigRepository:
"""模型配置Repository"""
@staticmethod
def get_by_id(db: Session, model_id: uuid.UUID) -> Optional[ModelConfig]:
"""根据ID获取模型配置"""
db_logger.debug(f"根据ID查询模型配置: model_id={model_id}")
try:
model = db.query(ModelConfig).options(
joinedload(ModelConfig.api_keys)
).filter(ModelConfig.id == model_id).first()
if model:
db_logger.debug(f"模型配置查询成功: {model.name} (ID: {model_id})")
else:
db_logger.debug(f"模型配置不存在: model_id={model_id}")
return model
except Exception as e:
db_logger.error(f"根据ID查询模型配置失败: model_id={model_id} - {str(e)}")
raise
@staticmethod
def get_by_name(db: Session, name: str) -> Optional[ModelConfig]:
"""根据名称获取模型配置"""
db_logger.debug(f"根据名称查询模型配置: name={name}")
try:
model = db.query(ModelConfig).filter(ModelConfig.name == name).first()
if model:
db_logger.debug(f"模型配置查询成功: {model.name}")
return model
except Exception as e:
db_logger.error(f"根据名称查询模型配置失败: name={name} - {str(e)}")
raise
@staticmethod
def search_by_name(db: Session, name: str, limit: int = 10) -> List[ModelConfig]:
"""按名称模糊匹配获取模型配置列表
Args:
name: 模型名称关键词(模糊匹配)
limit: 返回数量上限
Returns:
模型配置列表
"""
db_logger.debug(f"按名称模糊查询模型配置: name~{name}, limit={limit}")
try:
models = (
db.query(ModelConfig)
.filter(ModelConfig.name.ilike(f"%{name}%"))
.order_by(ModelConfig.name)
.limit(limit)
.all()
)
db_logger.debug(f"模糊查询成功: 返回数量={len(models)}")
return models
except Exception as e:
db_logger.error(f"按名称模糊查询模型配置失败: name~{name} - {str(e)}")
raise
@staticmethod
def get_list(db: Session, query: ModelConfigQuery) -> Tuple[List[ModelConfig], int]:
"""获取模型配置列表"""
db_logger.debug(f"查询模型配置列表: {query.dict()}")
try:
# 构建查询条件
filters = []
# 支持多个 type 值(使用 IN 查询)
if query.type:
filters.append(ModelConfig.type.in_(query.type))
if query.is_active is not None:
filters.append(ModelConfig.is_active == query.is_active)
if query.is_public is not None:
filters.append(ModelConfig.is_public == query.is_public)
if query.search:
# 搜索逻辑需要join ModelApiKey表来搜索model_name
search_filter = or_(
ModelConfig.name.ilike(f"%{query.search}%"),
# ModelConfig.description.ilike(f"%{query.search}%")
)
filters.append(search_filter)
# 构建基础查询
base_query = db.query(ModelConfig).options(
joinedload(ModelConfig.api_keys)
)
# 如果需要按provider筛选需要join ModelApiKey表
if query.provider:
base_query = base_query.join(ModelApiKey).filter(
ModelApiKey.provider == query.provider
).distinct()
if filters:
base_query = base_query.filter(and_(*filters))
# 获取总数
total = base_query.count()
# 分页查询
models = base_query.order_by(desc(ModelConfig.updated_at)).offset(
(query.page - 1) * query.pagesize
).limit(query.pagesize).all()
db_logger.debug(f"模型配置列表查询成功: 总数={total}, 当前页={len(models)}, type筛选={query.type}")
return models, total
except Exception as e:
db_logger.error(f"查询模型配置列表失败: {str(e)}")
raise
@staticmethod
def get_by_type(db: Session, model_type: ModelType, is_active: bool = True) -> List[ModelConfig]:
"""根据类型获取模型配置"""
db_logger.debug(f"根据类型查询模型配置: type={model_type}, is_active={is_active}")
try:
query = db.query(ModelConfig).options(
joinedload(ModelConfig.api_keys)
).filter(ModelConfig.type == model_type)
if is_active:
query = query.filter(ModelConfig.is_active == True)
models = query.order_by(ModelConfig.name).all()
db_logger.debug(f"根据类型查询模型配置成功: 数量={len(models)}")
return models
except Exception as e:
db_logger.error(f"根据类型查询模型配置失败: type={model_type} - {str(e)}")
raise
@staticmethod
def create(db: Session, model_data: dict) -> ModelConfig:
"""创建模型配置"""
db_logger.debug(f"创建模型配置: {model_data.get('name')}")
try:
db_model = ModelConfig(**model_data)
db.add(db_model)
db_logger.info(f"模型配置已添加到会话: {db_model.name}")
return db_model
except Exception as e:
db.rollback()
db_logger.error(f"创建模型配置失败: {model_data.get('name')} - {str(e)}")
raise
@staticmethod
def update(db: Session, model_id: uuid.UUID, model_data: ModelConfigUpdate) -> Optional[ModelConfig]:
"""更新模型配置"""
db_logger.debug(f"更新模型配置: model_id={model_id}")
try:
db_model = db.query(ModelConfig).filter(ModelConfig.id == model_id).first()
if not db_model:
db_logger.warning(f"模型配置不存在: model_id={model_id}")
return None
# 更新字段
update_data = model_data.dict(exclude_unset=True)
for field, value in update_data.items():
setattr(db_model, field, value)
db.commit()
db.refresh(db_model)
db_logger.info(f"模型配置更新成功: {db_model.name} (ID: {model_id})")
return db_model
except Exception as e:
db.rollback()
db_logger.error(f"更新模型配置失败: model_id={model_id} - {str(e)}")
raise
@staticmethod
def delete(db: Session, model_id: uuid.UUID) -> bool:
"""删除模型配置"""
db_logger.debug(f"删除模型配置: model_id={model_id}")
try:
db_model = db.query(ModelConfig).filter(ModelConfig.id == model_id).first()
if not db_model:
db_logger.warning(f"模型配置不存在: model_id={model_id}")
return False
db.delete(db_model)
db.commit()
db_logger.info(f"模型配置删除成功: model_id={model_id}")
return True
except Exception as e:
db.rollback()
db_logger.error(f"删除模型配置失败: model_id={model_id} - {str(e)}")
raise
@staticmethod
def get_stats(db: Session) -> Dict[str, Any]:
"""获取模型统计信息"""
db_logger.debug("获取模型统计信息")
try:
# 总数统计
total_models = db.query(ModelConfig).count()
active_models = db.query(ModelConfig).filter(ModelConfig.is_active == True).count()
# 按类型统计
llm_count = db.query(ModelConfig).filter(ModelConfig.type == ModelType.LLM).count()
embedding_count = db.query(ModelConfig).filter(ModelConfig.type == ModelType.EMBEDDING).count()
rerank_count = db.query(ModelConfig).filter(ModelConfig.type == ModelType.RERANK).count()
# 按提供商统计 - 现在从ModelApiKey表获取
provider_stats = {}
provider_results = db.query(
ModelApiKey.provider, func.count(func.distinct(ModelApiKey.model_config_id))
).group_by(ModelApiKey.provider).all()
for provider, count in provider_results:
provider_stats[provider.value] = count
stats = {
"total_models": total_models,
"active_models": active_models,
"llm_count": llm_count,
"embedding_count": embedding_count,
"rerank_count": rerank_count,
"provider_stats": provider_stats
}
db_logger.debug(f"模型统计信息获取成功: {stats}")
return stats
except Exception as e:
db_logger.error(f"获取模型统计信息失败: {str(e)}")
raise
class ModelApiKeyRepository:
"""模型API Key Repository"""
@staticmethod
def get_by_id(db: Session, api_key_id: uuid.UUID) -> Optional[ModelApiKey]:
"""根据ID获取API Key"""
db_logger.debug(f"根据ID查询API Key: api_key_id={api_key_id}")
try:
api_key = db.query(ModelApiKey).filter(ModelApiKey.id == api_key_id).first()
if api_key:
db_logger.debug(f"API Key查询成功: {api_key.model_name} (ID: {api_key_id})")
return api_key
except Exception as e:
db_logger.error(f"根据ID查询API Key失败: api_key_id={api_key_id} - {str(e)}")
raise
@staticmethod
def get_by_model_config(db: Session, model_config_id: uuid.UUID, is_active: bool = True) -> List[ModelApiKey]:
"""根据模型配置ID获取API Key列表"""
db_logger.debug(f"根据模型配置ID查询API Key: model_config_id={model_config_id}")
try:
query = db.query(ModelApiKey).filter(ModelApiKey.model_config_id == model_config_id)
if is_active:
query = query.filter(ModelApiKey.is_active == True)
api_keys = query.order_by(ModelApiKey.priority, ModelApiKey.created_at).all()
db_logger.debug(f"API Key列表查询成功: 数量={len(api_keys)}")
return api_keys
except Exception as e:
db_logger.error(f"根据模型配置ID查询API Key失败: model_config_id={model_config_id} - {str(e)}")
raise
@staticmethod
def create(db: Session, api_key_data: ModelApiKeyCreate) -> ModelApiKey:
"""创建API Key"""
db_logger.debug(f"创建API Key: {api_key_data.provider}")
try:
db_api_key = ModelApiKey(**api_key_data.dict())
db.add(db_api_key)
db_logger.info(f"API Key已添加到会话: {db_api_key.provider}")
return db_api_key
except Exception as e:
db.rollback()
db_logger.error(f"创建API Key失败: {api_key_data.provider} - {str(e)}")
raise
@staticmethod
def update(db: Session, api_key_id: uuid.UUID, api_key_data: ModelApiKeyUpdate) -> Optional[ModelApiKey]:
"""更新API Key"""
db_logger.debug(f"更新API Key: api_key_id={api_key_id}")
try:
db_api_key = db.query(ModelApiKey).filter(ModelApiKey.id == api_key_id).first()
if not db_api_key:
db_logger.warning(f"API Key不存在: api_key_id={api_key_id}")
return None
# 更新字段
update_data = api_key_data.dict(exclude_unset=True)
for field, value in update_data.items():
setattr(db_api_key, field, value)
db.commit()
db.refresh(db_api_key)
db_logger.info(f"API Key更新成功: {db_api_key.model_name} (ID: {api_key_id})")
return db_api_key
except Exception as e:
db.rollback()
db_logger.error(f"更新API Key失败: api_key_id={api_key_id} - {str(e)}")
raise
@staticmethod
def delete(db: Session, api_key_id: uuid.UUID) -> bool:
"""删除API Key"""
db_logger.debug(f"删除API Key: api_key_id={api_key_id}")
try:
db_api_key = db.query(ModelApiKey).filter(ModelApiKey.id == api_key_id).first()
if not db_api_key:
db_logger.warning(f"API Key不存在: api_key_id={api_key_id}")
return False
db.delete(db_api_key)
db.commit()
db_logger.info(f"API Key删除成功: api_key_id={api_key_id}")
return True
except Exception as e:
db.rollback()
db_logger.error(f"删除API Key失败: api_key_id={api_key_id} - {str(e)}")
raise
@staticmethod
def update_usage(db: Session, api_key_id: uuid.UUID) -> bool:
"""更新API Key使用统计"""
db_logger.debug(f"更新API Key使用统计: api_key_id={api_key_id}")
try:
db_api_key = db.query(ModelApiKey).filter(ModelApiKey.id == api_key_id).first()
if not db_api_key:
return False
# 更新使用次数和最后使用时间
current_count = int(db_api_key.usage_count or "0")
db_api_key.usage_count = str(current_count + 1)
db_api_key.last_used_at = func.now()
db.commit()
db_logger.debug(f"API Key使用统计更新成功: api_key_id={api_key_id}")
return True
except Exception as e:
db.rollback()
db_logger.error(f"更新API Key使用统计失败: api_key_id={api_key_id} - {str(e)}")
raise