74 lines
3.5 KiB
Python
74 lines
3.5 KiB
Python
"""API封装模型"""
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from sqlalchemy import Column, String, DateTime, Text, Boolean, ForeignKey
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from sqlalchemy.dialects.postgresql import JSON
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from sqlalchemy.orm import relationship
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from datetime import datetime
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from app.models.database import Base
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import uuid
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class ApiEndpoint(Base):
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"""API端点模型"""
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__tablename__ = "api_endpoints"
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id = Column(String, primary_key=True, index=True, default=lambda: str(uuid.uuid4()))
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name = Column(String, nullable=False, index=True) # API名称
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description = Column(Text, default="") # API描述
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path = Column(String, nullable=False, unique=True, index=True) # API路径，如 /api/image-classification
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method = Column(String, default="POST") # HTTP方法：GET, POST, PUT, DELETE
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algorithm_id = Column(String, ForeignKey("algorithms.id"), nullable=False, index=True) # 关联的算法ID
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version_id = Column(String, ForeignKey("algorithm_versions.id"), nullable=False, index=True) # 关联的算法版本ID
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service_id = Column(String, ForeignKey("algorithm_services.service_id"), nullable=True, index=True) # 关联的服务ID
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# API配置
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config = Column(JSON, nullable=False, default={}) # API配置（超时、重试等）
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request_schema = Column(JSON, nullable=True) # 请求参数schema
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response_schema = Column(JSON, nullable=True) # 响应参数schema
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# 权限配置
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requires_auth = Column(Boolean, default=True) # 是否需要认证
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allowed_roles = Column(JSON, default=[]) # 允许的角色列表
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rate_limit = Column(JSON, nullable=True) # 限流配置，如 {"max_requests": 100, "window": 60}
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# 状态
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status = Column(String, default="active", index=True) # 状态：active, inactive, deprecated
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is_public = Column(Boolean, default=False) # 是否公开
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# 统计信息
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call_count = Column(String, default="0") # 调用次数
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success_count = Column(String, default="0") # 成功次数
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error_count = Column(String, default="0") # 错误次数
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avg_response_time = Column(String, default="0.0") # 平均响应时间
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# 时间戳
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created_at = Column(DateTime(timezone=True), default=datetime.utcnow)
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updated_at = Column(DateTime(timezone=True), onupdate=datetime.utcnow)
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last_called_at = Column(DateTime(timezone=True), nullable=True) # 最后调用时间
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class ApiCallLog(Base):
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"""API调用日志模型"""
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__tablename__ = "api_call_logs"
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id = Column(String, primary_key=True, index=True, default=lambda: str(uuid.uuid4()))
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api_endpoint_id = Column(String, ForeignKey("api_endpoints.id"), nullable=False, index=True) # API端点ID
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user_id = Column(String, ForeignKey("users.id"), nullable=True, index=True) # 调用用户ID
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# 请求信息
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request_method = Column(String, nullable=False) # 请求方法
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request_path = Column(String, nullable=False) # 请求路径
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request_headers = Column(JSON, nullable=True) # 请求头
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request_body = Column(JSON, nullable=True) # 请求体
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# 响应信息
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response_status = Column(String, nullable=False) # 响应状态码
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response_body = Column(JSON, nullable=True) # 响应体
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response_time = Column(String, nullable=False) # 响应时间（秒）
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# 错误信息
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error_message = Column(Text, nullable=True) # 错误信息
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error_type = Column(String, nullable=True) # 错误类型
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# 时间戳
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created_at = Column(DateTime(timezone=True), default=datetime.utcnow, index=True) # 调用时间 |