Porsche Chen
360533393f
Major Features: - ✅ Multi-tenant architecture (tenant isolation) - ✅ Employee CRUD with lifecycle management (onboarding/offboarding) - ✅ Department tree structure with email domain management - ✅ Company info management (single-record editing) - ✅ System functions CRUD (permission management) - ✅ Email account management (multi-account per employee) - ✅ Keycloak SSO integration (auth.lab.taipei) - ✅ Redis session storage (10.1.0.254:6379) - Solves Cookie 4KB limitation - Cross-system session sharing - Sliding expiration (8 hours) - Automatic token refresh Technical Stack: Backend: - FastAPI + SQLAlchemy - PostgreSQL 16 (10.1.0.20:5433) - Keycloak Admin API integration - Docker Mailserver integration (SSH) - Alembic migrations Frontend: - Next.js 14 (App Router) - NextAuth 4 with Keycloak Provider - Redis session storage (ioredis) - Tailwind CSS Infrastructure: - Redis 7 (10.1.0.254:6379) - Session + Cache - Keycloak 26.1.0 (auth.lab.taipei) - Docker Mailserver (10.1.0.254) Architecture Highlights: - Session管理由 Keycloak + Redis 統一控制 - 支援多系統 (HR/WebMail/Calendar/Drive/Office) 共享 session - Token 自動刷新,異質服務整合 - 未來可無縫遷移到雲端 Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
108 lines
3.0 KiB
Python
108 lines
3.0 KiB
Python
"""
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審計日誌 Schemas
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"""
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from datetime import datetime
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from typing import Optional, Dict, Any
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from pydantic import Field, ConfigDict
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from app.schemas.base import BaseSchema
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class AuditLogBase(BaseSchema):
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"""審計日誌基礎 Schema"""
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action: str = Field(..., max_length=50, description="操作類型 (create/update/delete/login)")
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resource_type: str = Field(..., max_length=50, description="資源類型 (employee/identity/department)")
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resource_id: Optional[int] = Field(None, description="資源 ID")
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performed_by: str = Field(..., max_length=100, description="操作者 SSO 帳號")
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details: Optional[Dict[str, Any]] = Field(None, description="詳細變更內容")
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ip_address: Optional[str] = Field(None, max_length=45, description="IP 位址")
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class AuditLogCreate(AuditLogBase):
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"""創建審計日誌 Schema"""
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model_config = ConfigDict(
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json_schema_extra={
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"example": {
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"action": "create",
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"resource_type": "employee",
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"resource_id": 1,
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"performed_by": "porsche.chen@lab.taipei",
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"details": {
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"employee_id": "EMP001",
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"legal_name": "陳保時",
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"username_base": "porsche.chen"
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},
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"ip_address": "10.1.0.245"
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}
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}
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)
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class AuditLogInDB(AuditLogBase):
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"""資料庫中的審計日誌 Schema"""
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id: int
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performed_at: datetime
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model_config = ConfigDict(from_attributes=True)
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class AuditLogResponse(AuditLogInDB):
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"""審計日誌響應 Schema"""
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model_config = ConfigDict(
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json_schema_extra={
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"example": {
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"id": 1,
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"action": "create",
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"resource_type": "employee",
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"resource_id": 1,
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"performed_by": "porsche.chen@lab.taipei",
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"performed_at": "2020-01-01T12:00:00",
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"details": {
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"employee_id": "EMP001",
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"legal_name": "陳保時",
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"username_base": "porsche.chen"
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},
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"ip_address": "10.1.0.245"
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}
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}
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)
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class AuditLogListItem(BaseSchema):
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"""審計日誌列表項 Schema"""
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id: int
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action: str
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resource_type: str
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resource_id: Optional[int] = None
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performed_by: str
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performed_at: datetime
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model_config = ConfigDict(from_attributes=True)
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class AuditLogFilter(BaseSchema):
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"""審計日誌篩選參數"""
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action: Optional[str] = None
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resource_type: Optional[str] = None
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resource_id: Optional[int] = None
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performed_by: Optional[str] = None
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start_date: Optional[datetime] = None
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end_date: Optional[datetime] = None
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model_config = ConfigDict(
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json_schema_extra={
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"example": {
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"action": "create",
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"resource_type": "employee",
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"start_date": "2020-01-01T00:00:00",
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"end_date": "2020-12-31T23:59:59"
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}
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}
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)
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