Update Employee Api 0 0

1. Input Validation and Token Verification

The function begins by performing thorough validation on the incoming data. It ensures that all required fields are present and checks for data consistency, such as ensuring that the employee ID, email, and username are unique across the system.
It also verifies the provided authentication token, confirming that it is valid, has not expired, and that the user initiating the request has the necessary permissions to perform the operation, such as creating or updating employee records.

2. Employee Data Validation

Once the token is verified, the employee-related data is validated against predefined rules. This step includes:

• Ensuring the employee_id, email, and username are unique.
• Checking that the provided department_id, designation_id, office_shift_id, and role exist within the system to ensure the employee’s data aligns with available organizational structures.
• Additional validations for personal data such as dob, gender, and contact number ensure correct formatting and consistency.

3. Mapping and Assigning Data

This step maps various optional fields to their respective internal system codes or formats. For instance:

• It maps employment_type, job_sector, salary_type, and account_type to their corresponding values based on internal definitions.
• It also ensures that optional fields like national_health_insurance, social_security, TIN, bank account information, and contract date are handled correctly and inserted into their respective data tables.

4. Database Operations

After validation, the function performs the necessary database operations:

• User Creation: A user record is created with fields like first_name, last_name, email, username, and password. This user record is typically linked to the employee data.
• Employee Details: A corresponding record is created or updated in the staffdetails table, which contains job-related information such as department_id, designation_id, office_shift_id, and salary.
• Field Updates: If additional fields like health insurance, social security, or TIN are provided, the system ensures they are correctly updated in the relevant tables.

5. Bank and Contract Details

If bank details (such as account_title, account_number) are provided, they are stored in a separate bank details table linked to the employee. Additionally, if a contract date is provided, it will update or create a corresponding contract record for the employee, ensuring all employment terms are documented.

6. Final Response

Once all operations are successfully completed, the function returns a success response, indicating that the employee record has been created or updated successfully. This response may include details such as the employee’s unique ID or confirmation of updated fields.

Key Features:

• Role and Permission Checking: Ensures that only authorized users with appropriate permissions can create or modify employee records.
• Unique Checks: Prevents the creation of duplicate employee IDs, emails, and usernames, ensuring data integrity.
• Flexible Fields: Supports a wide range of fields, from required personal details to optional job-related and financial data.
• Validation: Implements robust validation checks to ensure data conforms to expected formats and business rules.
• Comprehensive Data Handling: Manages both required and optional data, ensuring all aspects of the employee’s profile (personal, job-related, financial) are accurately recorded.

Updated Summary

This function is designed to efficiently and securely handle employee updates. It includes comprehensive validation, secure token verification, and permission checks to ensure only authorized personnel can create or modify employee records. It ensures the integrity and consistency of the data by verifying unique fields (employee ID, email, username) and handling a wide range of data fields, including personal, employment, and financial details. The function is capable of managing employee bank details, contracts, and other optional fields, making it flexible and robust for a variety of employee-related data.