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