Employee REST API

This API provides endpoints for managing employee data.

## Getting Started

To use this API, you'll need a tool that can make HTTP requests, such as Postman or curl.

All API endpoints are prefixed with /employee.

API Endpoints

Here's a list of the available API endpoints:

### Get all employees:

GET /employee/all

### Get employee by ID:

GET /employee/{id}

Replace {id} with the actual employee ID.

### Add a new employee:

POST /employee/add

Include employee details in the request body in JSON format.

### Update an existing employee:

PUT /employee/update/{id}

Replace {id} with the actual employee ID.

Include updated employee details in the request body in JSON format.

### Delete an employee:

DELETE /employee/delete/{id}

Replace {id} with the actual employee ID.

### Search for employees:

GET /employee/search

Use query parameters to filter search results.

Search Filters

The following search filters are supported:

• name: Filter by employee name (e.g., /employee/search?name={name})
• department.department1.id: Filter by department 1 ID (e.g., /employee/search?department.department1.id={departmentId})
• department.department1.name: Filter by department 1 name (e.g., /employee/search?department.department1.name={departmentName})
• department.department2.id: Filter by department 2 ID (e.g., /employee/search?department.department2.id={departmentId})
• department.department2.name: Filter by department 2 name (e.g., /employee/search?department.department2.name={departmentName})
• dob: Filter by date of birth (format: YYYY-MM-DD) (e.g., /employee/search?dob={dateOfBirth})
• localAddress.street: Filter by local address street (e.g., /employee/search?localAddress.street={streetAddress})
• localAddress.city: Filter by local address city (e.g., /employee/search?localAddress.city={city})
• localAddress.zipCode: Filter by local address zip code (e.g., /employee/search?localAddress.zipCode={zipCode})
• officeAddress.street: Filter by office address street (e.g., /employee/search?officeAddress.street={streetAddress})
• officeAddress.city: Filter by office address city (e.g., /employee/search?officeAddress.city={city})
• officeAddress.zipCode: Filter by office address zip code (e.g., /employee/search?officeAddress.zipCode={zipCode})
• salary: Filter by salary (e.g., /employee/search?salary={salary})
• spouse: Filter by spouse name (e.g., /employee/search?spouse={spouseName})
• kid: Filter by kid name (e.g., /employee/search?kid={kidName})
• parent: Filter by parent name (e.g., /employee/search?parent={parentName})
• parentInLaw: Filter by parent in law name (e.g., /employee/search?parentInLaw={parentInLawName})
• otherDependent: Filter by other dependent name (e.g., /employee/search?otherDependent={otherDependentName})

Combine multiple filters using the & symbol.

For example, you can search for employees who are in department 1 with ID 10 and have a salary greater than 50000: /employee/search?department.department1.id=10&salary=50000

**Replace {name}, {departmentId}, {departmentName}, {dateOfBirth}, {streetAddress}, {city}, {zipCode}, {salary}, {spouseName}, {kidName}, {parentName}, {parentInLawName}, and {otherDependentName} with your desired search criteria.

Sample Employee JSON object

[
    {
        "address": {
            "localAddress": {
                "city": "Springfield",
                "street": "123 Main St",
                "zipCode": "12345"
            },
            "officeAddress": {
                "city": "Springfield",
                "street": "456 Office Ave",
                "zipCode": "54321"
            }
        },
        "department": {
            "department1": {
                "id": 1,
                "name": "IT"
            },
            "department2": {
                "id": 2,
                "name": "HR"
            }
        },
        "dob": "1990-01-01",
        "family": {
            "dependents": {
                "others": [
                    "Other dependent 1",
                    "Other dependent 2"
                ],
                "parents": [
                    "Parent 1",
                    "Parent 2"
                ],
                "parentsInLaw": [
                    "Parent in law 1",
                    "Parent in law 2"
                ]
            },
            "kids": [
                "Alice",
                "Bob"
            ],
            "spouse": "Jane Doe"
        },
        "id": 1,
        "name": "John Doe",
        "salary": 60000.0
    }
]
```-