Automated Action 1b9ddb4750 Implement comprehensive HR Management Backend System
- FastAPI application with JWT authentication and role-based access control
- Complete employee management with CRUD operations
- Department management with manager assignments
- Leave management system with approval workflow
- Payroll processing with overtime and deductions calculation
- Attendance tracking with clock in/out functionality
- SQLite database with proper migrations using Alembic
- Role-based permissions (Admin, HR Manager, Manager, Employee)
- Comprehensive API documentation and health checks
- CORS enabled for cross-origin requests

Environment Variables Required:
- SECRET_KEY: JWT secret key for token signing

Features implemented:
- User registration and authentication
- Employee profile management
- Department hierarchy management
- Leave request creation and approval
- Payroll record processing
- Daily attendance tracking
- Hours calculation for attendance
- Proper error handling and validation
2025-06-23 10:06:23 +00:00

81 lines
2.1 KiB
Python

from logging.config import fileConfig
from sqlalchemy import engine_from_config
from sqlalchemy import pool
from alembic import context
# Add the project root to the Python path
import sys
from pathlib import Path
sys.path.append(str(Path(__file__).parent.parent))
from app.db.base import Base
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# 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()