feat: HR Portal - Complete Multi-Tenant System with Redis Session Storage

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>
This commit is contained in:
2026-02-23 20:12:43 +08:00
commit 360533393f
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from logging.config import fileConfig
import sys
from pathlib import Path
from sqlalchemy import engine_from_config
from sqlalchemy import pool
from alembic import context
# Add the parent directory to sys.path to import app modules
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
# Import settings and Base
from app.core.config import settings
from app.db.base import Base
# Import all models for Alembic to detect
# 使用統一的 models import自動包含所有 Models
from app.models import * # noqa: F403, F401
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# Set the SQLAlchemy URL from settings
config.set_main_option("sqlalchemy.url", settings.DATABASE_URL)
# Interpret the config file for Python logging.
# This line sets up loggers basically.
if config.config_file_name is not None:
fileConfig(config.config_file_name)
# add your model's MetaData object here
# for 'autogenerate' support
target_metadata = Base.metadata
# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.
def run_migrations_offline() -> None:
"""Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
Calls to context.execute() here emit the given string to the
script output.
"""
url = config.get_main_option("sqlalchemy.url")
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={"paramstyle": "named"},
)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online() -> None:
"""Run migrations in 'online' mode.
In this scenario we need to create an Engine
and associate a connection with the context.
"""
connectable = engine_from_config(
config.get_section(config.config_ini_section, {}),
prefix="sqlalchemy.",
poolclass=pool.NullPool,
)
with connectable.connect() as connection:
context.configure(
connection=connection, target_metadata=target_metadata
)
with context.begin_transaction():
context.run_migrations()
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()