Work schedule app

General features

select time period (weekly or monthly)
randomise the schedule
input preferences if some employee have special needs like free weekend or different working hours for particular day
track a very simple statistic about working hours
option for each employee to display a graph to see how many Mondays he worked in a month, how many Saturdays, how many Fridays.... display a graph for each day of the week in a set time period, how many working hours he had on each day
option to build automatic schedule with balanced shifts so each employee have a fair number of working weekends

Employees Collection: Store each employee's information (e.g., name, ID, role, preferences like free weekends or custom hours).
Schedule Collection: Each document represents a period (weekly/monthly), with fields for date range, list of shifts, employee assignments, etc.
Statistics Collection: Track data on how many shifts each employee has worked on specific days, hours worked, and so on.

GET /schedule/:period: Fetches the schedule for a specific period (weekly/monthly).
POST /schedule: Generates a new schedule, taking into account employee preferences and balanced weekend shifts.
PUT /preferences/:employeeId: Allows updating employee preferences.
GET /statistics/:employeeId: Fetches the specific statistics and weekday work frequency for an employee.
POST /randomize-schedule: An endpoint to create a randomised schedule within the selected period.

Use algorithms to ensure fair distribution of weekend shifts. Consider constraints like free days and shift preferences.

Schedule Display: A calendar or table view with shifts for the selected period, showing which employee is assigned to each slot.
Statistics and Graphs: For each employee, provide a visual (e.g., bar chart or pie chart) showing days worked over the selected period. Libraries like Chart.js or Recharts would be useful here.
Preferences Form: A form where administrators can update employee preferences.
Schedule Generation and Randomisation: Buttons for generating and randomising the schedule, with a configuration panel to set the time period and specify balanced shifts.

Randomisation & Balancing: Implement logic in the backend to randomly assign shifts but with balancing checks. This could be a mix of scheduling and optimisation algorithms.
Statistics Calculation: Create functions to compute how many hours employees worked, and how frequently they worked on each weekday.

Ensure that preferences and balanced shift algorithms are tested to meet fairness and flexibility requirements.
Implement validation checks to prevent schedule conflicts.